• Advanced chronic liver disease
• Nutritional Prognostic Index
• Nutritional assessment
• Nutritional risk
• Nutritional screening

• Humans
• Male
• Nutrition Assessment
• Female
• Prognosis
• Prospective Studies
• Middle Aged
• Risk Assessment/methods
• Malnutrition/diagnosis
• Malnutrition/mortality
• Nutritional Status
• Aged
• Adult
• Liver Diseases/mortality
• Chronic Disease
• ROC Curve
• Risk Factors

• Gastrointestinal stromal tumor
• Immune status
• Inflammatory status
• Mexican patients
• Prognostic Nutritional Index

• Humans
• Gastrointestinal Stromal Tumors/surgery
• Gastrointestinal Stromal Tumors/pathology
• Retrospective Studies
• Male
• Female
• Middle Aged
• Mexico
• Prognosis
• Nutrition Assessment
• Aged
• Nutritional Status
• Adult
• Gastrointestinal Neoplasms/surgery
• Gastrointestinal Neoplasms/pathology
• Cohort Studies
• Mitotic Index
• Kaplan-Meier Estimate
• ROC Curve
• Proportional Hazards Models
• Multivariate Analysis
• Aged, 80 and over

• Gastrointestinal stromal tumors
• Inflammatory factor
• Onodera’s Prognostic Nutritional Index
• Prognostic

• Humans
• Nutrition Assessment
• Prognosis
• Gastrointestinal Stromal Tumors/surgery
• Retrospective Studies

• Gastrointestinal cancers
• Gastrointestinal stromal tumor
• Imatinib
• Immune checkpoint inhibitors
• Immunology
• Immunotherapy
• Model
• Resistance

• 2021B1212040006 Guangdong Provincial Key Laboratory of Digestive Cancer Research
• 2021LSYS003 Guangdong-Hong Kong-Macau University Joint Laboratory of Digestive Cancer Research
• ZDSYS20220606100801003 Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research
• 2022A1515110194 Guangdong Basic and Applied Basic Research Foundation
• 2021B1515120069 Guangdong Basic and Applied Basic Research Foundation
• 2022A1515110156 Guangdong Basic and Applied Basic Research Foundation
• JCYJ20220530142203008 Shenzhen Fundamental Research Program
• JCYJ20190809142807444 Shenzhen Fundamental Research Program
• SGDX20201103092601008 Shenzhen-Hong Kong-Macau Technology Research Program (Type C)
• U20A20379 National Natural Science Foundation of China
• KCXFZ20200201101059392 Shenzhen Sustainable Project
• SZSM201911010 Sanming Project of Medicine in Shenzhen

• epidemiology
• gastroenterology
• gastrointestinal tumours
• nutrition
• nutritional support

• Humans
• Prognosis
• Gastrointestinal Stromal Tumors/surgery
• Nutrition Assessment
• Colon
• Databases, Factual

• Zhejiang Province Traditional Chinese Medicine "Xin Miao" Program

• gastrointestinal stromal tumors (gists)
• prognostic nutritional index (pni)
• recurrence-free survival (rfs)

• Humans
• Prognosis
• Gastrointestinal Stromal Tumors
• Nutrition Assessment
• Lymphocyte Count
• China

The combined index of hemoglobin, albumin, lymphocyte, and platelet (HALP) can reflect systemic inflammation and nutritional status simultaneously, with some evidence revealing its prognostic value for some tumors. However, the effect of HALP on recurrence-free survival (RFS) in patients with gastrointestinal stromal tumors (GISTs) has not been reported.

To investigate the prognostic value of HALP in GIST patients.

Data from 591 untreated patients who underwent R0 resection for primary and localized GISTs at West China Hospital between December 2008 and December 2016 were included. Clinicopathological data, preoperative albumin, blood routine information, postoperative treatment, and recurrence status were recorded. To eliminate baseline inequivalence, the propensity scores matching (PSM) method was introduced. Ultimately, the relationship between RFS and preoperative HALP was investigated.

The optimal cutoff value for HALP was determined to be 31.5 by X-tile analysis. HALP was significantly associated with tumor site, tumor size, mitosis, Ki67, National Institutes of Health (NIH) risk category, and adjuvant therapy (all P < 0.001). Before PSM, GIST patients with an increased HALP had a significantly poor RFS (P < 0.001), and low HALP was an independent risk factor for poor RFS [hazard ratio (HR): 0.506, 95% confidence interval (95%CI): 0.291-0.879, P = 0.016]. In NIH high-risk GIST patients, GIST patients with low HALP had a worse RFS than patients with high HALP (P < 0.05). After PSM, 458 GIST patients were identified; those with an increased HALP still had significantly poor RFS after PSM (P < 0.001) and low HALP was still an independent risk factor for poor RFS (HR: 0.558, 95%CI: 0.319-0.976, P = 0.041).

HALP was significantly correlated with postoperative pathology and postoperative treatment. Furthermore, HALP showed a strong ability to predict RFS in GIST patients who underwent radical resection.

• Gastrointestinal stromal tumors
• Nutrition assessment
• Immuno-inflammatory-based prognostic scores
• Prognosis
• Propensity score

• Albumins
• Gastrointestinal Stromal Tumors
• Hemoglobins/analysis
• Humans
• Ki-67 Antigen
• Lymphocytes
• Prognosis
• Retrospective Studies

• Radical surgery for gastric cancer (GC)
• infection
• prognostic nutritional index (PNI)
• propensity score matching (PSM)

• Gastrointestinal stromal tumours
• Naples prognostic score
• Overall survival
• Prognosis
• Prognostic score
• Progression-free survival

• critically ill patients
• mortality
• prognostic nutritional index
• propensity score matching

Gastrointestinal stromal tumor (GIST) is the most common type of mesenchymal tumors in the digestive tract, often recrudescing even after R0 resection. Adjuvant tyrosine kinase inhibitor therapy prolonged recurrence-free survival (RFS). This study aimed to develop a novel nomogram for predicting the RFS of patients following surgical resection of GISTs.

Clinicopathologic data of patients with GISTs at Tianjin Medical University General Hospital (Tianjin, China) from January 2000 to October 2019 were retrospectively reviewed. Univariate and multivariate Cox regression analyses were used to select the suitable variables from the training cohort to construct a nomogram for 2- and 5-year RFS. The 1,000 bootstrap samples and calibration curves were used to validate the discrimination of the nomogram. The receiver operating characteristic analysis(ROC) was used to compare the predictive ability of the nomogram and present four commonly used risk stratification systems: National Institutes of Health (NIH)–Fletcher staging system; NIH–Miettinen criteria; Modified NIH criteria; and Air Forces Institute of Pathology risk criteria (AFIP).

Univariate and multivariate analyses showed that the tumor site, tumor size, mitotic index, tumor rupture, and prognostic nutritional index were significant factors associated with RFS. These variables were selected to create the nomogram for 2- and 5-year RFS (all P<0.05). The 2- and 5-year the ROC of the nomogram were 0.821 (95% confidence interval [CI]: 0.740–0.903) and 0.798 (95% CI: 0.739–0.903); NIH–Fletcher criteria were 0.757 (95% CI: 0.667–0.846) and 0.683 (95% CI: 0.613–0.753); NIH–Miettinen criteria were 0.762 (95% CI: 0.678–0.845) and 0.718 (95% CI: 0.653–0.783); Modified NIH criteria were 0.750 (95% CI: 0.661–0.838) and 0.689 (95% CI: 0.619–0.760); and AFIP were 0.777 (95% CI: 0.685–0.869) and 0.708 (95% CI: 0.636–0.780). Hence, the predictive probabilities of our nomogram are better than those of other GIST risk stratification systems.

This nomogram, combining tumor site, tumor size, mitotic index, tumor rupture, and prognostic nutritional index, may assist physicians in providing individualized treatment and surveillance protocols for patients with GISTs following surgical resection.

• gastrointestinal stromal tumors
• nomogram
• prognosis
• prognostic nutritional index
• recurrence-free survival

Malnutrition plays a critical role in the onset and progress of the coronavirus disease 2019 (COVID-19). The aim of the present study was to explore the association of the prognostic nutritional index (PNI) score with the severity of COVID-19 and its predictive value of the severe form of COVID-19.

Clinical data were collected from 122 patients infected with COVID-19 and hospitalized at the Sixth People's Hospital of Wenzhou, China, a specialized infectious hospital affiliated with the Wenzhou Central Hospital. PNI score was calculated as serum albumin (g/L) + 5 × total lymphocyte count (/nL).

The study population consisted of 105 patients (86.1%) with a common form and 17 patients (13.9%) with a severe form of COVID-19. PNI score significantly decreased from patients with common to severe forms of COVID-19 (P = .029) regardless of sex, age range, and body mass index (BMI). After adjustment for sex, age, indexes of liver and renal function, C-reactive protein, and current smoking status, PNI scores remained independently and inversely associated with the severity of COVID-19 (odd ratio: 0.797; P = .030). A receiver operating characteristic analysis showed that PNI scores had a similar accuracy to predict severe forms of COVID-19 compared with its combination with sex, age, and BMI (P = .402). PNI < 49 was defined as the cutoff value to predict the severe form of COVID-19.

Poorer nutritional status predisposed patients infected with COVID-19 to its severe form. Independently associated with the severity of COVID-19, PNI score could serve as a simple, fast, and effective predictor among patients with different sex, age, and BMI.

• Coronavirus disease 2019
• Prediction
• Prognostic nutritional index
• Severity

• Gastrointestinal stromal tumours
• Immunoscore
• Prognosis
• Prognostic biomarker
• Tumour-infiltrating lymphocytes