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Xiang Y, Wu Y, Liu H, Chen Z, Pan J. Association of coagulation-related indicators with postoperative venous thromboembolism occurrence in patients with pituitary tumors. Sci Rep 2025; 15:16694. [PMID: 40368990 PMCID: PMC12078525 DOI: 10.1038/s41598-025-01029-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Accepted: 05/02/2025] [Indexed: 05/16/2025] Open
Abstract
This study aimed to analyze risk factors for postoperative VTE in pituitary tumor resection patients, focusing on coagulation indicators and their predictive value. This study collected clinical data from 300 patients who underwent pituitary adenoma resection from January 2021 to August 2023 in the Department of Neurosurgery, the Second Clinical College of the Army Medical University, China. Logistic regression modeling was used to identify risk factors for VTE. Restricted cubic spline curves were used to characterize the dose-response relationship between coagulation-related indicators and the risk of venous thromboembolism. The area under the curve (AUC) was calculated using the receiver operating characteristic (ROC) curve to evaluate the predictive power of coagulation-related indicators. Multivariate analysis showed that D-dimer, platelet count and hemoglobin (Hb) were significant predictors of VTE with OR (95% CI) of 1.967 (1.441-2.808), 1.020 (1.013-1.029), and 0.952 (0.914-0.994), respectively. The AUCs for D-dimer, Platelet Count, and Hb were 0.708, 0.731, and 0.712, respectively. The AUC for combining the three coagulation indices was the largest, 0.838. The combined use of D-dimer, Hb, and platelet count can identify high-risk patients early, enabling timely implementation of antithrombotic strategies.
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Affiliation(s)
- Yi Xiang
- Chongqing General Hospital, Chongqing University, 118 Star Avenue, Liangjiang New Area, Chongqing, China
| | - Ya Wu
- The Second Clinical College of the Army Medical University, Chongqing, China
| | - Huan Liu
- The Second Clinical College of the Army Medical University, Chongqing, China
| | - Zheng Chen
- The Second Clinical College of the Army Medical University, Chongqing, China
| | - JinYu Pan
- Chongqing General Hospital, Chongqing University, 118 Star Avenue, Liangjiang New Area, Chongqing, China.
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Shi LT, Gu R, Duan LJ. Differences in Incidence of Preoperative Deep Vein Thrombosis and Coagulation Function at Admission in Younger and Older Adults With Hip Fracture. Orthopedics 2025; 48:139-145. [PMID: 40353754 DOI: 10.3928/01477447-20250421-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/14/2025]
Abstract
BACKGROUND The objectives of this study were to analyze differences in deep vein thrombosis (DVT) incidence in both lower extremities before operation and blood coagulation function at admission in younger and older adults with hip fracture and to guide DVT prevention in these patients. MATERIALS AND METHODS The 505 hip fracture patients enrolled in this research were sorted into an older adult (≥60 years) group (424 cases) and a younger adult group (81 cases) based on age. Preoperative DVT incidence in both lower extremities was analyzed. Differences in demographic characteristics, comorbidities, and preoperative DVT incidence in both lower extremities, blood coagulation function, and platelet count at admission were compared. RESULTS Preoperative DVT incidence in both lower extremities in hip fracture patients increased with age. Compared with the younger adult group, preoperative DVT incidence in both lower extremities was higher, the ratio of women was higher, the ratio of patients with comorbidities (eg, hypertension, diabetes) was higher, fibrinogen was higher, and antithrombin III was lower in the older adult group. CONCLUSION Preoperative DVT incidence in both lower extremities in these patients increased with age. Compared with the younger adult group, preoperative DVT incidence was higher, hypercoagulable state was more obvious, and anticoagulant activity was weaker in the older adult group. This may be related to more patients of advanced age, a higher ratio of female patients, and more comorbidities. Advanced age (≥60 years) is the independent risk factor for preoperative DVT. [Orthopedics. 2025;48(3):139-145.].
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Xiong X, Hu P, Li T, Yu S, Mao Q. Association between inflammatory indices and preoperative deep vein thrombosis in patients undergoing total joint arthroplasty: a retrospective study. Thromb J 2025; 23:6. [PMID: 39838469 PMCID: PMC11748560 DOI: 10.1186/s12959-024-00682-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Accepted: 12/18/2024] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND To investigate the association between inflammatory indices-systemic immune-inflammation index (SII), monocyte-lymphocyte ratio (MLR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and preoperative deep vein thrombosis (DVT) in patients undergoing total joint arthroplasty (TJA). METHODS We created the receiver operator characteristic (ROC) curve using the ratios of SII, MLR, NLR, PLR to DVT before TJA, divided the enrolled patients into groups based on the cut-off value, and then analyzed risk factors for DVT before TJA in the multivariate binary logistic regression analysis. RESULTS A total of 2125 patients were enrolled and preoperative DVT occurred in 110 cases (5.18%). Based on the ROC curve, we determined that the cut-off values for SII, MLR, NLR, and PLR were 470*109 /L, 0.306, 2.08, and 127; and the areas under the curve (AUC) were 0.623, 0.601, 0.611, and 0.62. Multivariate binary regression analysis revealed that the risk of preoperative DVT in TJA patients with SII ≥ 470*109/L, MLR ≥ 0.306, PLR ≥ 127, and NLR ≥ 2.08 increased by 2.26 (P < 0.001, 95% confidence interval (CI) [1.52-3.37]), 1.92 (P = 0.002, 95% CI [1.28-2.9]), 2.1 (P < 0.001, 95% CI [1.4-3.16]), and 1.94 (P = 0.002, 95% CI [1.29-2.92]) times, respectively. Age, P < 0.001, odds ratio (OR) = 1.08, 95%CI [1.05-1.10]; corticosteroid use, P = 0.002, OR 3.8, 95% CI [1.94-9.22]). CONCLUSION We found that higher SII, MLR, NLR, and PLR levels, age, and corticosteroid use were independent risk factors for preoperative DVT in patients undergoing TJA. CLINICAL TRIAL REGISTRATION ChiCTR2100054844; Registration Date: 2021.12.28.
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Affiliation(s)
- Xiaojuan Xiong
- Department of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China
| | - Peng Hu
- School of Public Policy and Administration, Chongqing University, 174 shazheng street, Shapingba District, Chongqing, 400044, China
| | - Ting Li
- Department of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China
| | - Shuang Yu
- Department of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China
| | - Qingxiang Mao
- Department of Anesthesiology, Daping Hospital, Army Medical Center of PLA, Army Medical University, 10 ChangjiangZhilu, Yuzhong District, Chongqing, 400042, China.
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Atabey RD, Kocaoglu AS. Aggregate Index of Systemic Inflammation: The Strongest Predictor of In-Hospital Venous Thromboembolism Events among Patients Hospitalized for Trauma or Surgery. Ann Vasc Surg 2025; 110:172-181. [PMID: 39343369 DOI: 10.1016/j.avsg.2024.07.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/10/2024] [Accepted: 07/25/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND To investigate the power of inflammation/immune indices in-hospital deep vein thrombosis (DVT) and any venous thromboembolism (VTE) event (VTE: DVT + pulmonary embolism [PE]) that may occur after trauma or surgery and to identify the strongest predictors. METHODS This was a retrospective study conducted between January 2020 and December 2022. A total of 216 patients with suspicion of DVT or PE during their hospital stay for trauma or surgery were included in the study. Monocyte-lymphocyte ratio, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, systemic inflammatory index, systemic inflammation response index, and aggregate index of systemic inflammation (AISI) were calculated. Participants were divided into the following 3 groups: those without DVT or PE (control group, n = 70), only DVT (DVT group, n = 71), and both DVT and PE (VTE group, n = 75). RESULTS The median D-dimer, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, systemic inflammatory index, systemic inflammation response index, and AISI values of VTE group were significantly higher than both the control and DVT groups (P < 0.001 for all). The DVT group also had significantly higher values for these parameters compared to controls (P < 0.001 for all). All of these indices had significantly high performance to detect DVT or PE (P < 0.001 for all). Despite very high performance (some exceeding D-dimer measurement) detected for all examined parameters, AISI was the best predictor in both DVT and VTE (DVT + PE) prediction (area under receiver operating characteristic curve = 0.995 and 0.959, respectively). CONCLUSIONS These indices, especially AISI, can play a role in the initial screening and risk stratification of patients at high risk of DVT or VTE after surgery or trauma.
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Affiliation(s)
- Rukiye Derin Atabey
- Department of Cardiovascular Surgery, Yuzuncu Yil University Faculty of Medicine, Van, Turkey.
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Wu LF, Zhang TS, Li J, Huang H, Zhou CH, Li X. Construction and validation of a nomogram prediction model for internal fixation failure after proximal femoral anti-rotation intramedullary nailing in the treatment of intertrochanteric fractures of the femur. Medicine (Baltimore) 2024; 103:e40575. [PMID: 39809193 PMCID: PMC11596523 DOI: 10.1097/md.0000000000040575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 10/30/2024] [Indexed: 01/16/2025] Open
Abstract
The aim was to study the independent risk factors of internal fixation failure in proximal femoral anti-rotation intramedullary nailing for intertrochanteric femur fracture, and to build a nomogram prediction model accordingly. Clinical data of patients with intertrochanteric femoral rotor fractures admitted to the First People's Hospital of Longquanyi District from January 2018 to January 2023 were retrospectively collected. The occurrence of spiral blade cut out, internal fixation breakage, peri-internal fixation fracture, hip internal rotation deformity, and fracture nonunion within 1 year after surgery were included in the internal fixation failure group, and the rest were included in the internal fixation success group. Univariate and multivariate logistic regression analyses were used to determine the independent risk factors for postoperative internal fixation failure, and the corresponding nomogram was established. Subject operating characteristic curves and calibration curves were plotted to assess model performance, and to further improve the reliability of the validation results, internal validation was performed using Bootstrap combined with 10-fold cross-validation rows to assess the clinical utility of the model using decision curve analysis. Ultimately, 374 patients with intertrochanteric fractures were included in the study, and 57 patients were included in the internal fixation failure group, with an internal fixation failure rate of 15.24%. After univariate and multivariate logistic regression analyses, a total of 5 factors were identified as independent risk factors for internal fixation failure after intertrochanteric femur fracture surgery: unstable fracture, comorbid underlying disease, severe osteoporosis, a cusp distance of >30 mm, and poor quality of fracture reduction. Postoperative internal fixation failure of intertrochanteric fractures of femur is affected by multiple factors, and clinically orthopedic surgeons should formulate reasonable and effective solutions for high-risk patients in order to protect the surgical effect and improve the success rate of surgery.
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Affiliation(s)
- Lin-Feng Wu
- Department of Orthopedics, The First People’s Hospital of Longquanyi District, Chengdu, Sichuan, China
| | - Tian-Shuang Zhang
- Department of Orthopedics, The First People’s Hospital of Longquanyi District, Chengdu, Sichuan, China
| | - Juan Li
- Rehabilitation Department, The First People’s Hospital of Longquanyi District, Chengdu, Sichuan, China
| | - Hui Huang
- Pain Medicine, The First People’s Hospital of Longquanyi District, Chengdu, Sichuan, China
| | - Cai-Hong Zhou
- Department of Orthopedics, The First People’s Hospital of Longquanyi District, Chengdu, Sichuan, China
| | - Xu Li
- Department of Orthopedics, The First People’s Hospital of Longquanyi District, Chengdu, Sichuan, China
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Tian F, Lu Y, Liu X, Zhao C, Xi X, Hu X, Xue Y, Sun X, Yuan H. Relationship Between the Systemic Immune-Inflammation Index and Deep Venous Thrombosis After Spinal Cord Injury: A Cross-Sectional Study. J Inflamm Res 2024; 17:8325-8334. [PMID: 39525312 PMCID: PMC11550696 DOI: 10.2147/jir.s491055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024] Open
Abstract
Purpose To explore the relationship between the systemic immune-inflammation index (SII) and deep venous thrombosis (DVT) in patients with spinal cord injury (SCI). Methods This cross-sectional study included data from 382 participants with SCI. The SII was calculated for all participants. Logistic regression, smooth curve fitting, interaction effects were used to substantiate the research objectives. Results The overall prevalence of DVT was 23.1% (22.4% among males, 25.6% among females). A positive association between SII and the risk for DVT was observed (odds ratio 1.39 [95% CI 1.03-1.87]; P=0.032), independent of confounders. Similar patterns of association were observed in the subgroup analysis (P values for interaction, all >0.05). Further sensitivity analyses provided confidence that the results were reliable and unlikely to be substantially altered by unmeasured confounding factors. Conclusion Results of the present suggest that higher SII may be associated with DVT in patients with SCI, highlighting a potential link between SII and DVT. These findings underscore the potential of SII as a valuable predictive biomarker for DVT, thus offering a promising avenue for early detection and intervention strategies in patients with SCI.
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Affiliation(s)
- Fei Tian
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Yuheng Lu
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Xinyu Liu
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Chenguang Zhao
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Xiao Xi
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Xu Hu
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Yike Xue
- Department of Diagnostic Radiology, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Xiaolong Sun
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Hua Yuan
- Department of Rehabilitation Medicine, Xijing Hospital, The Fourth Military Medical University, Xi’an, People’s Republic of China
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Li W, Ling H, Huang Z, Lao Y, Liu J, Deng G, Su W, Lu R. Construction of a nomogram for preoperative deep vein thrombosis in pelvic fracture patients. BMC Surg 2024; 24:331. [PMID: 39455965 PMCID: PMC11515835 DOI: 10.1186/s12893-024-02629-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 10/14/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND In recent years, the incidence of pelvic fractures has been on the rise, predominantly affecting the elderly population. Deep vein thrombosis may lead to poor prognosis in patients. monocyte-to-lymphocyte ratio is novel biomarkers of inflammation, and this study aims to verify their predictive effect and construct the nomogram model. METHOD This study used binary logistic regression analysis to predict the predictive effect of MLR on the occurrence of DVT in pelvic fractures patients. And use R studio to construct nomogram model. RESULT The results showed that Age (1.04 [1.01, 1.07], p = 0.006), WBC (1.44 [1.28, 1.61], p < 0.001), and MLR (2.11 [1.08, 4.13], p = 0.029) were independent predictive factors. The nomogram demonstrated good predictive performance with small errors in both the training and validation groups, and most clinical patients could benefit from them. CONCLUSION The nomogram constructed based on MLR can assist clinicians in early assessment of the probability of DVT occurrence.
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Affiliation(s)
- Wencai Li
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - He Ling
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - Zhao Huang
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - Yonghui Lao
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - Junjie Liu
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - Gaoyong Deng
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - Wei Su
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China
| | - Rongbin Lu
- Dept. orthopedics trauma and hand surgery, the First Affiliated Hospital of Guangxi Medical University, NO. 6 ShuangYong Road, Nanning, 530022, Guangxi, China.
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Yang CS, Tan Z. Construction and validation of a predictive model for preoperative lower extremity deep vein thrombosis risk in elderly hip fracture patients: An observational study. Medicine (Baltimore) 2024; 103:e39825. [PMID: 39312315 PMCID: PMC11419451 DOI: 10.1097/md.0000000000039825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Accepted: 09/02/2024] [Indexed: 09/25/2024] Open
Abstract
The aim of this study was to identify independent risk factors for preoperative lower extremity deep vein thrombosis (DVT) in elderly hip fracture patients and to construct a nomogram prediction model based on them. We collected clinical data from elderly hip fracture patients from Ya'an Hospital of Traditional Chinese Medicine (2021-2023), and used univariate and multivariate logistic regression analyses to identify independent risk factors for preoperative DVT. In this way, a nomogram prediction model was established. In addition, external validation of the model was performed by patient data from Ya'an Mingshan District Hospital of Traditional Chinese Medicine. Receiver operating characteristic curve analysis was used to calculate the area under the curve, and calibration and decision curves were plotted to assess the predictive performance of the model. Of the 223 elderly hip fracture patients, 23 (10.31%) developed DVT of the lower extremities before surgery. A total of 6 variables were identified as independent risk factors for preoperative lower extremity DVT in elderly hip fracture patients by logistic regression analysis: age > 75 years (OR = 1.932; 95% CI: 1.230-3.941), diabetes mellitus (OR = 2.139; 95% CI: 1.149-4.342), and prolonged duration of disease (OR. 2.535; 95% CI: 1.378-4.844), surgical treatment (OR = 1.564; 95% CI: 1.389-3.278), D-dimer > 0.5 mg/L (OR = 3.365; 95% CI: 1.229-7.715) fibrinogen > 4 g/L (OR = 3.473; 95% CI: 1.702-7.078). The constructed nomogram model has high accuracy in predicting the risk of preoperative DVT in elderly hip fracture patients, providing an effective tool for clinicians to identify high-risk patients and implement early intervention.
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Affiliation(s)
- Chang-Song Yang
- Ya’an Mingshan District Hospital of Traditional Chinese Medicine, Ya’an, China
| | - Zhe Tan
- Ya’an Hospital of Traditional Chinese Medicine, Ya’an, China
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Liu ZJ, Li GH, Wang JX, Mo ZH, Yang KY, Shen CL, Shen ZX. Prognostic value of the systemic immune-inflammation index in critically ill elderly patients with hip fracture: evidence from MIMIC (2008-2019). Front Med (Lausanne) 2024; 11:1408371. [PMID: 38873200 PMCID: PMC11169710 DOI: 10.3389/fmed.2024.1408371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/15/2024] [Indexed: 06/15/2024] Open
Abstract
Background The systemic immune-inflammation index (SII) showed an extensive link between immunological dysfunction and the activation of systemic inflammation. Several studies have confirmed the application of SII to orthopedic diseases. However, the significance of SII in critically ill elderly individuals with hip fracture who require intensive care unit (ICU) admission is not yet known. This study centered on exploring the relationship between SII and clinical outcomes among critically ill elderly hip fracture individuals. Methods The study centered around elderly patients experiencing severe illness following hip fractures and requiring admission to the ICU. These patients from the MIMIC-IV database formed the basis of this study's cohort. We stratified them into quartiles according to their SII levels. The results involved the mortality at 30 days and 1 year post-admission. Then we employ Cox proportional hazards regression analysis as well as restricted cubic splines to explore the association between the SII and clinical results in critically ill elderly patients with hip fracture. Results The study encompassed 991 participants, among whom 63.98% identified as females. Notably, the mortality rates attributed to any cause within 30 days and 1 year after hospitalization stood at 19.68 and 33.40%, respectively. The multivariate Cox proportional hazards model disclosed a significant correlation between an elevated SII and all-cause mortality. Following adjustments for confounding variables, individuals with a high SII showed a notable correlation with 30-day mortality [adjusted hazard ratio (HR), 1.065; 95% confidence interval (CI), 1.044-1.087; p < 0.001] and 1-year mortality (adjusted HR, 1.051; 95% CI, 1.029-1.074; p < 0.001). Furthermore, the analysis of restricted cubic splines demonstrated a progressive increase in the risk of all-cause death as the SII value rose. Conclusion Among critically ill elderly patients with hip fracture, the SII exhibits a non-linear association that positively correlates with both 30-day and 1-year all-cause mortality rates. The revelation indicates that the SII may play a vital role in identifying patients with hip fractures who face an escalated risk of mortality due to any cause.
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Affiliation(s)
- Zhen-Jiang Liu
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
| | - Gen-He Li
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
| | - Jing-Xuan Wang
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
| | - Zhi-Hong Mo
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
| | - Kang-Yong Yang
- Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong, China
| | - Chu-Long Shen
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
- Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong, China
| | - Zhao-Xiong Shen
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China
- Foshan Hospital of Traditional Chinese Medicine, Foshan, Guangdong, China
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Liu X, Pang P, Luo Z, Cai W, Li W, Hao J. Prevalence and risk factors for proximal deep vein thrombosis at admission in patients with traumatic fractures: a multicenter retrospective study. Front Cardiovasc Med 2024; 11:1372268. [PMID: 38725838 PMCID: PMC11079222 DOI: 10.3389/fcvm.2024.1372268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
Objective This study aimed to determine the associated risk factors for proximal deep vein thrombosis (DVT) in patients with lower extremity and pelvic-acetabular fractures. Methods The medical records of 4,056 patients with lower extremity and pelvic-acetabular fractures were retrospectively reviewed. The patients were classified into proximal or non-proximal DVT groups. Logistic regression models were used to determine the independent risk variables for proximal DVT. The predictive value of the related risk factors was further analyzed using receiver operating characteristic curves. Results The prevalence of proximal DVT was 3.16%. Sex, body mass index (BMI), fracture site, injury mechanism, diabetes, coronary heart disease (CHD), injury-to-admission interval, hematocrit, platelet counts, and D-dimer levels differed significantly between the two groups. BMI ≥ 24.0 kg/m2, femoral shaft fractures, high-energy injury, diabetes, injury-to-admission interval >24 h were independent risk factors for proximal DVT. CHD decreased the risk of proximal DVT. The platelet and D-dimer had high negative predictive value for predicting proximal DVT formation, with cut-off values of 174 × 109/L and 2.18 mg/L, respectively. Conclusion BMI ≥ 24.0 kg/m2, femoral shaft fractures, high-energy injury, diabetes, injury-to-admission interval >24 h were independent risk factors for proximal DVT in patients with lower extremity and pelvic-acetabular fractures. Platelet count and D-dimer level were effective indicators for excluding proximal DVT occurrence. CHD decreased the risk of proximal DVT.
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Affiliation(s)
- Xiaobing Liu
- Department of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi’an, Shaanxi, China
| | - Peng Pang
- Department of Anaesthesiology, Binzhou Medical College Affiliated Hospital, Binzhou, Shandong, China
| | - Zhenguo Luo
- Department of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi’an, Shaanxi, China
| | - Wenbo Cai
- Department of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi’an, Shaanxi, China
| | - Wangyang Li
- Emergency Department, Linfen Hospital Affiliated to Shanxi Medical University, Linfen, Shanxi, China
| | - Jianhong Hao
- Department of Anaesthesiology, HongHui Hospital, Xi'an JiaoTong University, Xi’an, Shaanxi, China
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Cui X, Liu Q, Xia R, Liu J, Wang J, Chao A. Injury-Admission Time is an Independent Risk Factor for Deep Vein Thrombosis in Older Patients with Osteoporotic Hip Fracture. Med Sci Monit 2024; 30:e943587. [PMID: 38615190 PMCID: PMC11025399 DOI: 10.12659/msm.943587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 02/20/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Deep vein thrombosis is a common pre- and post-operative complication in older patients with osteoporotic hip fractures. Pre-operative thrombus can increase the risk of surgery. This study examined the association between the time from fracture to admission (injury-admission time) and deep vein thrombosis in older patients with osteoporotic hip fractures. MATERIAL AND METHODS Doppler ultrasound screening of deep lower-extremity veins was performed in patients with osteoporotic hip fractures between June 2019 and December 2021. Clinical data, including medical history, injury-admission time, and laboratory tests, were collected retrospectively. RESULTS Of the 439 patients, deep vein thrombosis was found in 139 (31.66%). The injury-admission time was significantly longer in the thrombosis group, which was positively associated with deep vein thrombosis (odds ratio 1.010, 95% confidence interval 1.003-1.017). The area under the curve to predict deep vein thrombosis was 0.619. The best cut-off value, sensitivity, and specificity were 21 h, 46.76%, and 75%, respectively. When the injury-admission period exceeded 21 h, the prevalence of deep vein thrombosis was 45.8% and the thrombosis incidence was significantly higher than in the <21 h group (24.9%). CONCLUSIONS Our results suggest that screening for deep vein thrombosis should be routinely performed for patients with osteoporotic hip fractures, particularly for those with injury-admission time ≥21 h.
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Affiliation(s)
- Xiuli Cui
- Department of Osteo-Internal Medicine, Tianjin Hospital (Tianjin University Tianjin Hospital), Tianjin, PR China
| | - Qingjun Liu
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, PR China
| | - Ronglin Xia
- Department of Osteo-Internal Medicine, Tianjin Hospital (Tianjin University Tianjin Hospital), Tianjin, PR China
| | - Jiaolei Liu
- Department of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, PR China
| | - Jun Wang
- Department of Osteo-Internal Medicine, Tianjin Hospital (Tianjin University Tianjin Hospital), Tianjin, PR China
| | - Aijun Chao
- Department of Osteo-Internal Medicine, Tianjin Hospital (Tianjin University Tianjin Hospital), Tianjin, PR China
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Fan X, Yang Z, Liu Y, Wei Z, Zhao C, Pang C, Wang Z, Yang H. Analysis of High-Risk Factors and Construction of a Nomogram Predictive Model for Deep Venous Thrombosis in Pelvic and Acetabular Fracture Patients Treated Conservatively. Cureus 2024; 16:e56091. [PMID: 38618471 PMCID: PMC11011238 DOI: 10.7759/cureus.56091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2024] [Indexed: 04/16/2024] Open
Abstract
PURPOSE This study aims to develop a predictive nomogram model to assist physicians in making evidence-based decisions and potentially reduce the incidence of deep venous thrombosis (DVT). METHODS We conducted a retrospective study, including patients admitted to the hospital from January 2014 to January 2022 with a closed, single pelvic or acetabular fracture. Comprehensive data were collected for each patient, encompassing demographics, injury characteristics, comorbidities, and results from laboratory tests and lower extremity ultrasounds. Potential risk factors were identified by univariate and multivariate logistic regression analyses. The predictive model was constructed and then internally validated. Calibration accuracy was assessed using a calibration slope and the Hosmer-Lemeshow goodness-of-fit test. The discrimination of the nomogram model was evaluated using the C-statistic. RESULTS Out of 232 individuals who underwent conservative treatment, 57 (24.6%) were classified into the DVT group and 175 (75.4%) into the non-DVT group based on lower extremity ultrasound findings. Predominantly, patients were aged between 41 and 65 in both groups. Body mass index (BMI) comparison showed that 54.29% (95/175) of the non-DVT group fell within the healthy weight range, while 45.61% (26/57) in the DVT group were overweight. Notably, the proportion of obesity in the DVT group was more than double that in the non-DVT group, indicating a higher DVT risk with increasing BMI (P=0.0215). Lower red blood cell (RBC) counts were observed in DVT patients compared to non-DVT ones (P<0.001). A similar pattern emerged for D-dimer, a marker for blood clot formation and dissolution, with significant differences noted (P=0.029). Multivariable analysis identified age, BMI, associated organ injury (AOI), American Society of Anesthesiologists score, hemoglobin (HGB), RBC, and D-dimer as candidate predictors. Significant variables included age (OR, 3.04; 95% CI, 1.76-5.26; P<0.001), BMI (OR, 1.97; 95% CI, 1.22-3.18; P=0.006), AOI (OR, 2.05; 95% CI, 1.07-3.95; P=0.031), and HGB (HR, 0.59; 95% CI, 0.39-0.88; P=0.010). The discrimination was 0.787, with a corrected c-index of 0.753. Calibration plots and the Hosmer-Lemeshow test indicated a good fit (P=0.7729). Decision curve analysis revealed a superior net clinical benefit when the predicted probability threshold ranged from 0.05 to 0.95. CONCLUSIONS We developed a nomogram predictive model, and it could act as a practical tool in clinical workflows to assist physicians in making favorable medical decisions, which potentially reduces the incidence of DVT in those patients with pelvic and acetabular fractures treated conservatively.
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Affiliation(s)
- Xiaobo Fan
- Department of Orthopedic Surgery, The First Hospital of Handan, Handan, CHN
| | - Zongyou Yang
- Department of Orthopedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, CHN
| | - Yuan Liu
- Department of Orthopedic Surgery, The First Hospital of Handan, Handan, CHN
| | - Zhikun Wei
- Department of Orthopedic Surgery, The First Hospital of Handan, Handan, CHN
| | - Chenyang Zhao
- Department of Orthopedic Surgery, The First Hospital of Handan, Handan, CHN
| | - Chaojian Pang
- Department of Orthopedic Surgery, The First Hospital of Handan, Handan, CHN
| | - Zhihong Wang
- Department of Orthopedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, CHN
| | - Hongcheng Yang
- Department of Orthopedic Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, CHN
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Zhang Y, Ma Y, Wang J, Guan Q, Yu B. Construction and validation of a clinical prediction model for deep vein thrombosis in patients with digestive system tumors based on a machine learning. Am J Cancer Res 2024; 14:155-168. [PMID: 38323284 PMCID: PMC10839316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/13/2023] [Indexed: 02/08/2024] Open
Abstract
This study developed a deep vein thrombosis (DVT) risk prediction model based on multiple machine learning methods for patients with digestive system tumors undergoing surgical treatment. Data of 1048 patients with digestive system tumors admitted to Shanxi Provincial People's Hospital (College of Shanxi Medical University) from January 2020 to January 2023 were retrospectively analyzed, and 845 cases were screened according to the inclusion and exclusion criteria. The patients were divided into a training group (586 patients), and a validation group (259 patients), then feature selection was performed using six models, including Lasso regression, XGBoost, Random Forest, Decision Tree, Support Vector Machine, and Logistics. Predictive models were subsequently constructed from column-line plots, and the predictive validity of the models was assessed using receiver operating characteristic curves, precision-recall curves, and decision-curve analysis. In the model comparison, the XGBoost model showed the largest area under the curve (AUC) on the validation set (P < 0.05), demonstrating excellent predictive performance and generalization ability. We selected the common characteristic factors in the six models to further develop the column line plots to assess the DVT risk. The model performed well in clinical validation and effectively differentiated high-risk and low-risk patients. The differences in BMI, procedure time, and D-dimer were statistically significant between patients in the thrombus group and those in the non-thrombus group (P < 0.05). However, the AUC of the Xgboost model was found to be greater than that of the column chart model by the Delong test (P < 0.05). BMI, procedure time, and D-dimer are critical predictors of DVT risk in patients with digestive system tumors. Our model is an adequate assessment tool for DVT risk, which can help improve the prevention and treatment of DVT.
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Affiliation(s)
- Yunfeng Zhang
- Department of Vascular Surgery, Shanxi Provincial People’s Hospital (The Fifth Clinical Medical School of Shanxi Medical University)No. 29 Shuangtasi Street, Taiyuan 030012, Shanxi, China
| | - Yongqi Ma
- Shanxi University of Chinese MedicineNo. 121 Daxue Street, Yuci District, Jinzhong 030619, Shanxi, China
| | - Jie Wang
- Department of Vascular Surgery, Shanxi Provincial People’s Hospital (The Fifth Clinical Medical School of Shanxi Medical University)No. 29 Shuangtasi Street, Taiyuan 030012, Shanxi, China
| | - Qiang Guan
- Department of Vascular Surgery, Shanxi Provincial People’s Hospital (The Fifth Clinical Medical School of Shanxi Medical University)No. 29 Shuangtasi Street, Taiyuan 030012, Shanxi, China
| | - Bo Yu
- Department of Operating Room, Affiliated Hospital of Hebei UniversityNo. 212 Yuhua East Road, Lianchi District, Baoding 071000, Hebei, China
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Guo H, Xu K, Deng F, Chen Q, Liang J, Zhang K. Risk Prediction Models for Preoperative Deep Vein Thrombosis in Older Patients with Hip Fracture: A Systematic Review and Meta-Analysis. Clin Appl Thromb Hemost 2024; 30:10760296241285565. [PMID: 39318323 PMCID: PMC11425752 DOI: 10.1177/10760296241285565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 08/22/2024] [Accepted: 09/04/2024] [Indexed: 09/26/2024] Open
Abstract
OBJECTIVE To systematically assess the risk prediction models for preoperative deep vein thrombosis in older patients with hip fractures. METHOD We searched four databases for literature through November 17, 2023. We included patients aged ≥60 with hip fractures and considered English-language case-control or cohort studies that focused on developing and/or validating risk prediction models for DVT in this population. Excluded were studies that solely analyzed risk factors without constructing a prediction model, had fewer than 2 predictive variables, or were not available in full-text or were duplicate publications. The Predictive Model Bias Risk Assessment tool was utilized to evaluate risk of bias. The area under the curve (AUC) values were meta-analyzed using R Studio software. The I2 index and Cochrane q test were employed to assess heterogeneity. Additionally, sensitivity analysis was performed by systematically removing individual studies to explore the sources of heterogeneity. RESULTS A total of 1880 studies were gathered. Out of these, seven studies were included, encompassing 8 models. The most commonly utilized factors in the models were D-dimer and the time from injury to admission. The pooled AUC value for the validation of 8 models was 0.84 (95% confidence interval: 0.80-0.87), indicating robust model performance. CONCLUSION Current risk prediction models for preoperative DVT in elderly hip fracture patients are still in the developmental phase. Future research should focus on developing new models with larger sample sizes, robust study designs, and multicenter external validation.
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Affiliation(s)
- Huali Guo
- Department of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China
| | - Kuankuan Xu
- Radiology Department, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China
| | - Fangfang Deng
- Department of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China
| | - Qingqing Chen
- Department of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China
| | - Jie Liang
- Department of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China
| | - Kun Zhang
- Department of Orthopaedics, The First College of Clinical Medical Science, China Three Gorges University/Yichang Central People's Hospital, Yichang, Hubei, China
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15
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Shi LT, Kong FQ. Evaluation of preoperative coagulation function changes and deep vein thrombosis incidence in elderly patients with hip fractures. Clin Hemorheol Microcirc 2024; 87:375-382. [PMID: 38517782 DOI: 10.3233/ch-242122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
OBJECTIVE This study involved an analysis of preoperative deep vein thrombosis (DVT) incidence and changes in coagulation function among elderly patients suffering from hip fractures. The objective was to offer guidance on the prevention and management of preoperative DVT in the lower extremities of elderly individuals with hip fractures. METHODS A total of 282 elderly individuals with a hip fracture were enrolled and divided into two groups based on the location of the fracture: femoral intertrochanteric fracture (FIF, 161 individuals) and femoral neck fracture (FNF, 121 individuals). The two groups were compared with respect to baseline characteristics, including gender, age, and comorbid chronic diseases. Furthermore, the analysis encompassed the incidence of preoperative DVT in both lower extremities, along with seven coagulation parameters and platelet count before the surgical procedure. RESULTS There was no significant difference in baseline information between the two groups. The incidence of preoperative DVT in the FIF group was higher than that in the FNF group, along with a significantly higher percentage of patients exhibiting increased levels of D-dimer and fibrinogen/fibrin degradation products (FDPs). CONCLUSION Preoperative hypercoagulability and a greater prevalence of DVT were observed in elderly individuals with FIF compared to individuals with FNF. This indicates that clinicians should pay attention to elderly patients with FIFs, especially those with increased D-dimer and FDP levels.
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Affiliation(s)
- Li-Tao Shi
- Trauma Department of Orthopedics, The Affiliated Hospital of Chengde Medical University, Chengde, China
| | - Fan-Qiang Kong
- Department of Medical Imaging, The Affiliated Hospital of Chengde Medical University, Chengde, China
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Su ZJ, Wang HR, Liu LQ, Li N, Hong XY. Analysis of risk factors for postoperative deep vein thrombosis after craniotomy and nomogram model construction. World J Clin Cases 2023; 11:7543-7552. [DOI: 10.12998/wjcc.v11.i31.7543] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/05/2023] [Accepted: 10/23/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Deep vein thrombosis (DVT) of the lower extremity is one of the most common postoperative complications, especially after craniocerebral surgery. DVT may lead to pulmonary embolism, which has a devastating impact on patient prognosis. This study aimed to investigate the incidence and risk factors of DVT in the lower limbs following craniocerebral surgery.
AIM To identify independent risk factors for the development of postoperative DVT and to develop an effective risk prediction model.
METHODS The demographic and clinical data of 283 patients who underwent craniocerebral surgery between December 2021 and December 2022 were retrospectively analyzed. The independent risk factors for lower extremity DVT were identified by univariate and multivariate analyses. A nomogram was created to predict the likelihood of lower extremity DVT in patients who had undergone craniocerebral surgery. The efficacy of the prediction model was determined by receiver operating characteristic curve using the probability of lower extremity DVT for each sample.
RESULTS Among all patients included in the analysis, 47.7% developed lower extremity DVT following craniocerebral surgery. The risk of postoperative DVT was higher in those with a longer operative time, and patients with intraoperative intermittent pneumatic compression were less likely to develop postoperative DVT.
CONCLUSION The incidence of lower extremity DVT following craniocerebral surgery is significant, highlighting the importance of identifying independent risk factors. Interventions such as the use of intermittent pneumatic compression during surgery may prevent the formation of postoperative DVT.
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Affiliation(s)
- Zhen-Jin Su
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China
| | - Hong-Rui Wang
- Department of Operating Theater, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China
| | - Li-Qin Liu
- Department of Operating Theater, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China
| | - Nan Li
- Department of Operating Theater, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China
| | - Xin-Yu Hong
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China
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Guo H, Wang T, Li C, Yu J, Zhu R, Wang M, Zhu Y, Wang J. Development and validation of a nomogram for predicting the risk of immediate postoperative deep vein thrombosis after open wedge high tibial osteotomy. Knee Surg Sports Traumatol Arthrosc 2023; 31:4724-4734. [PMID: 37378681 DOI: 10.1007/s00167-023-07488-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023]
Abstract
PURPOSE This study aimed to identify independent risk factors for immediate postoperative deep vein thrombosis (DVT) in patients with open wedge high tibial osteotomy (OWHTO) and to develop and validate a predictive nomogram. METHODS Patients who underwent OWHTO for knee osteoarthritis (KOA) from June 2017 to December 2021 were retrospectively analyzed. Baseline data and laboratory test results were collected, and the occurrence of DVT in the immediate postoperative period was regarded as the study outcome event. Multivariable logistic regression identified independent risk factors associated with a higher incidence of immediate postoperative DVT. The predictive nomogram was constructed based on the analysis results. The stability of the model was further assessed in this study using patients from January to September 2022 as an external validation set. RESULTS 741 patients were enrolled in the study, of which 547 were used in the training cohort and the other 194 for the validation cohort. Multivariate analysis revealed a higher Kellgren-Lawrence (K-L) grade (III vs. I-II OR 3.09, 95% CI 0.93-10.23. IV vs. I-II OR 5.23, 95% CI 1.27-21.48.), platelet to hemoglobin ratio (PHR) > 2.25 (OR 6.10, 95% CI 2.43-15.33), Low levels of albumin (ALB) (OR 0.79, 95% CI 0.70-0.90), LDL-C > 3.40 (OR 3.06, 95% CI 1.22-7.65), D-dimer > 1.26 (OR 2.83, 95% CI 1.16-6.87) and BMI ≥ 28 (OR 2.57, 95% CI 1.02-6.50) were the independent risk factors of immediate postoperative DVT. The concordance index (C-index) and Brier score of the nomogram were 0.832 and 0.036 in the training set, and the corrected values after internal validation were 0.795 and 0.038, respectively. The receiver-operating characteristic (ROC) curve, the calibration curve, the Hosmer-Lemeshow test, and the decision curve analysis (DCA) performed well in both the training and validation cohorts. CONCLUSION This study developed a personalized predictive nomogram with six predictors, which allows surgeons to stratify risk and recommended immediate ultrasound scans for patients with any of these factors. LEVEL OF EVIDENCE III.
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Affiliation(s)
- Haichuan Guo
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China
| | - Tianyu Wang
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China
| | - Chengsi Li
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China
| | - Jiahao Yu
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China
| | - Ruoxuan Zhu
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China
| | - Maolin Wang
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China
| | - Yanbin Zhu
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China.
- Orthopedic Research Institute of Hebei Province, Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, 050051, Hebei, People's Republic of China.
| | - Juan Wang
- Department of Orthopedic Surgery, The 3rd Hospital of Hebei Medical University, NO.139 Ziqiang Road, Shijiazhuang, 050051, Hebei, People's Republic of China.
- Orthopedic Research Institute of Hebei Province, Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, 050051, Hebei, People's Republic of China.
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Zeng G, Li X, Li W, Wen Z, Wang S, Zheng S, Lin X, Zhong H, Zheng J, Sun C. A nomogram model based on the combination of the systemic immune-inflammation index, body mass index, and neutrophil/lymphocyte ratio to predict the risk of preoperative deep venous thrombosis in elderly patients with intertrochanteric femoral fracture: a retrospective cohort study. J Orthop Surg Res 2023; 18:561. [PMID: 37533084 PMCID: PMC10398922 DOI: 10.1186/s13018-023-03966-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/29/2023] [Indexed: 08/04/2023] Open
Abstract
OBJECTIVES Deep vein thrombosis (DVT) has been considered as a frequent and serious consequence of intertrochanteric femoral fractures in the elderly. Several negative repercussions of DVT can be considerably mitigated by its timely recognition and treatment. The current work was aimed at exploring the factors independently predicting DVT among cases suffering from intertrochanteric femoral fractures and validate their predictive usefulness in diagnosing DVT. METHODS Between April 2017 and July 2022, clinical information from 209 cases showing preoperative DVT for femoral intertrochanteric fractures were retrospectively evaluated. In patients with femoral intertrochanteric fractures, logistic regression analysis with a backward stepwise method was adopted for detecting independent predictors for the diagnosis of preoperative DVT. Using multivariate logistic regression, a nomogram prediction model was developed and verified with the testing group. RESULTS According to multivariate logistic regression model, body mass index (BMI) (OR 0.79, 95% CI 0.63-0.99, P = 0.042), neutrophil/lymphocyte ratio (NLR) (OR 7.29, 95% CI 1.53, 34.64, P = 0.0012), and systemic immune-inflammation index (SII) (OR 6.61, 95% CI 2.35, 18.59, P = 0.001) were independent predictors for DVT before surgery among cases developing intertrochanteric femoral fracture. AUC values were 0.862 and 0.767 for training and testing groups, separately, while their mean errors in the calibration curve were 0.027 and 0.038 separately. Decision curve analysis (DCA) curve revealed a high value of clinical application for both groups. CONCLUSION Upon admission, BMI, NLR, and SII are independent predictors of DVT before surgery among cases developing intertrochanteric femoral fractures. Additionally, the nomogram based on the BMI, NLR, and SII can assist clinicians in determining if preventive and symptomatic therapies are required to improve DVT prognosis and reduce its associated mortality.
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Affiliation(s)
- Guowei Zeng
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Xu Li
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
| | - Wencai Li
- Department of Neurosurgery, Huizhou Central People's Hospital, Huizhou, China
| | - Zhijia Wen
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Shenjie Wang
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Shaowei Zheng
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
| | - Xia Lin
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Haobo Zhong
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China.
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
| | - Jianping Zheng
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China.
| | - Chunhan Sun
- Department of the Orthopedics, Huizhou First Hospital, Guangdong Medical University, Huizhou, 516000, Guangdong, China.
- Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
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Chen X, Ou Y, Wang Z, Liu H, Liu Y, Liu M. Association between systemic immune-inflammation index and risk of lower extremity deep venous thrombosis in hospitalized patients: a 10-year retrospective analysis. Front Cardiovasc Med 2023; 10:1211294. [PMID: 37396591 PMCID: PMC10313113 DOI: 10.3389/fcvm.2023.1211294] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
Background The systemic immune-inflammation index (SII), as a novel inflammatory biomarker, has recently attracted attention in cardiovascular disease research. However, the relationship between SII and risk of lower extremity deep venous thrombosis (LEDVT) remains unclear to date. Thus, this study aimed to explore the association in a large sample over a 10-year period (2012-2022). Methods All hospitalized patients undergoing lower extremity compression ultrasonography (CUS) examination were consecutively screened by searching our hospital information system database. The receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value for high and low SII group. Multivariate logistic regression analyses were performed to investigate the relationship between SII and LEDVT risk. Propensity score matching (PSM), subgroup and sensitivity analyses were also conducted. Moreover, restricted cubic spline (RCS) regression and two-piecewise linear regression models were used to assess the dose-response relationship between natural log transformed SII [ln(SII)] and risk of LEDVT. Results A total of 16,725 consecutive hospitalized patients were included, and 1,962 LEDVT events occurred. After adjusting for confounding factors, patients in the high SII group (≥ 574.2 × 109/L) showed a 1.740-fold risk of LEDVT (95% CI: 1.546-1.959, P < 0.001), and elevated ln(SII) was associated with a 36.1% increased risk of LEDVT (95% CI: 1.278-1.449, P < 0.001). PSM, subgroup and sensitivity analyses confirmed the robustness of the association. A non-linear relationship was observed (P non-linear < 0.001), with a threshold value of 5.6 × 109/L for all LEDVT events. Above the threshold, each unit increase in ln(SII) had a 1.369-fold higher risk of LEDVT (95% CI: 1.271-1.475, P < 0.001). The association also existed in both distal and proximal LEDVT. Conclusion Elevated SII is significantly associated with an increased risk of LEDVT in hospitalized patients. Additionally, the association is non-linear and exhibit a threshold effect.
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Affiliation(s)
- Xi Chen
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Yili Ou
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Zhicong Wang
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
- Department of Orthopedics, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Hailong Liu
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Yuehong Liu
- Department of Orthopedics, People’s Hospital of Deyang City, Deyang, China
| | - Mozhen Liu
- Department of Orthopedics, The First Affiliated Hospital of Dalian Medical University, Dalian, China
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Haemostasis and Inflammatory Parameters as Potential Diagnostic Biomarkers for VTE in Trauma-Immobilized Patients. Diagnostics (Basel) 2023; 13:diagnostics13010150. [PMID: 36611442 PMCID: PMC9818770 DOI: 10.3390/diagnostics13010150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/10/2022] [Accepted: 12/12/2022] [Indexed: 01/03/2023] Open
Abstract
Venous thromboembolism (VTE), which encompasses deep venous thrombosis (DVT) and pulmonary embolism (PE), is a major public health concern due to its high incidences of morbidity and mortality. Patients who have experienced trauma with prolonged immobilization are at an increased risk of developing VTE. Plasma D-dimer levels have been known to be elevated in trauma patients, and they were closely correlated with the number of fractures. In other words, plasma D-dimer levels cannot be used as the only indicator of VTE in trauma cases. Given the limitations, further study is needed to explore other potential biomarkers for diagnosing VTE. To date, various established and novel VTE biomarkers have been studied in terms of their potential for predicting VTE, diagnostic performance, and improving clinical therapy for VTE. Therefore, this review aims to provide information regarding classic and essential haemostasis (including prothrombin time (PT), activated partial thromboplastin time (aPTT), D-dimer, fibrinogen, thrombin generation, protein C, protein S, antithrombin, tissue factor pathway inhibitor, and platelet count) and inflammatory biomarkers (C-reactive protein, erythrocyte sedimentation rate, and soluble P-selectin) as potential diagnostic biomarkers that can predict the risk of VTE development among trauma patients with prolonged immobilization. Thus, further advancement in risk stratification using these biomarkers would allow for a better diagnosis of patients with VTE, especially in areas with limited resources.
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Wang Y, Liang X, Wang S, Wang Y, Qin L, Chen D, Jiang Y, Zhang H. Analysis of the Risk Factors for Elevated D-Dimer Level After Breast Cancer Surgery: A Multicenter Study Based on Nursing Follow-Up Data. Front Oncol 2022; 12:772726. [PMID: 35928882 PMCID: PMC9343692 DOI: 10.3389/fonc.2022.772726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 06/21/2022] [Indexed: 11/30/2022] Open
Abstract
D-dimer level is often used to assess the severity of trauma as well as the risk of thrombosis. This study investigated the risk factors for high postoperative D-dimer level. This study included a total of 2706 patients undergoing breast cancer surgery to examine the associations between various clinicopathological factors and variation in D-dimer levels. After adjusting for other factors, T stage, neoadjuvant chemotherapy, blood loss, surgery type, diabetes, and elevated leukocyte and neutrophil counts were found to be significant risk factors for D-dimer variation. This study identified several factors associated with elevated D-dimer levels and consequent thrombosis after breast cancer surgery, which may aid in the development of more precise preventive measures and interventions as well as serve as a reference for future research.
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Affiliation(s)
- Yanqiu Wang
- Department of Breast Surgery, Second Hospital of Dalian Medical University, Dalian, China
| | - Xi Liang
- Department of Breast Surgery, Second Hospital of Dalian Medical University, Dalian, China
- *Correspondence: Xi Liang, ; Shujun Wang, ; Yuying Wang, ; Ling Qin, ; Hao Zhang,
| | - Shujun Wang
- Department of Obstetrics and Gynecology, Second Hospital of Dalian Medical University, Dalian, China
- *Correspondence: Xi Liang, ; Shujun Wang, ; Yuying Wang, ; Ling Qin, ; Hao Zhang,
| | - Yuying Wang
- Department of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
- *Correspondence: Xi Liang, ; Shujun Wang, ; Yuying Wang, ; Ling Qin, ; Hao Zhang,
| | - Ling Qin
- Department of Operation Room, Second Hospital of Dalian Medical University, Dalian, China
- *Correspondence: Xi Liang, ; Shujun Wang, ; Yuying Wang, ; Ling Qin, ; Hao Zhang,
| | - Danni Chen
- Department of Neurology, Boao Yiling Life Care Center, Boao, China
| | - Yanlin Jiang
- Department of Breast Surgery, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Hao Zhang
- Department of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
- *Correspondence: Xi Liang, ; Shujun Wang, ; Yuying Wang, ; Ling Qin, ; Hao Zhang,
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