Despite advances in medical care, older patients with ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI) currently face high in-hospital mortality rates. Traditional prognostic models, primarily developed in Caucasian populations with fewer older participants and using classical statistical approaches, may not perform well in Southeast Asian settings. This study explores the need for artificial intelligence-based risk assessment models-the STEMI-OP algorithms-designed explicitly for STEMI patients aged 60 and older following primary PCI in Vietnam. Machine learning (ML) models were developed and validated using pre- and post-PCI features, with advanced feature selection techniques to identify key predictors. SHapley Additive exPlanations and Causal Random Forests were employed to improve interpretability and causal relationships between features and outcomes, highlighting the key factors, including the Killip classification, the Clinical Frailty Scale, glucose levels, and creatinine levels in predicting in-hospital mortality. The CatBoost model with ElasticNet regression for pre-PCI prediction and the Random Forest model with Ridge regression post-PCI prediction demonstrated significantly superior performance compared to traditional risk scores, achieving AUC values of 92.16% and 95.10%, respectively, outperforming the GRACE 2.0 score (83.48%) and the CADILLAC score (87.01%). By incorporating frailty and employing advanced ML techniques, the STEMI-OP algorithms produced more precise, personalized risk assessments that could enhance clinical decision-making and improve outcomes for older STEMI patients undergoing primary PCI.

Resilience to stressors has emerged as a major gerontological concept aiming to promote more positive outcomes for older adults. Achieving this aim relies on determining mechanisms underlying the capacity to respond resiliently. This article seeks proof of principle for the hypothesis that physical aspects of said capacity are rooted in the fitness of one's physiology governing stress response, conceptualized as a dynamical system. The Study of Physical Resilience in Aging ("SPRING") leveraged stimulus-response experiments to characterize physiological fitness in older adults scheduled for 1 of 3 major stressors: total knee replacement, incident hemodialysis, or bone marrow transplant in hematological cancer. Here we analyze Holter monitor time series characterizing heart rate variability (HRV), cortisol responses to adrenocorticotropic hormone (ACTH) stimulation, and repeated diurnal salivary cortisol assessment in the SPRING pilot (n = 79). Principal component analysis was applied anticipating steady-state and "adaptation" mechanisms underlying the repeated physiological measures. Analytic features evidenced these mechanisms, supporting construct validity. Component scores were analyzed by major stressor, hypothesized surrogate physiological measures (physical frailty phenotype, self-report of health), and demographic, health, and behavioral characteristics. Scores differed substantially by stressor type and the surrogate physiological measures, evidencing criterion validity. Our data support that HRV, ACTH, and salivary cortisol stimulus-response data jointly assess adaptation capacity across 3 major stressors. We believe that SPRING is the first study in humans to concurrently query multiple physiological systems using stimulus-response tests. Our findings lay groundwork for future validation with further data and to better forecast resilience of older adults to clinical stressors.

Frailty, marked by increased vulnerability and reduced physiological reserve, is common in end-stage heart failure patients. Continuous flow left ventricular assist devices (LVADs) have improved outcomes, but the impact of frailty on these outcomes is unclear. This systematic review and meta-analysis investigate the effect of frailty on clinical outcomes in patients undergoing LVAD therapy.

Following PRISMA guidelines, we searched PubMed, Cochrane, EMBASE, MEDLINE, and Google Scholar up to September 2023 for studies comparing frail and non-frail patients undergoing LVAD implantation. Data on mortality, hospital length of stay, intubation duration, bleeding, infection, and readmission rates were extracted and analyzed using the Mantel-Haenszel random-effects model, with heterogeneity assessed by the I2 statistic.

Fifteen studies involving 3458 patients were included. Frailty was significantly associated with higher long-term mortality (OR: 2.12; 95% CI: 1.17-3.83; p = 0.01), but not with short-term mortality (OR: 1.61; 95% CI: 0.71-3.65; p = 0.26), hospital length of stay (MD: 1.93; 95% CI: -9.83 to 13.68; p = 0.75), or intubation duration (MD: 34.28; 95% CI: -1.15-69.71; p = 0.06). No significant differences were found in bleeding (OR: 1.76; 95% CI: 0.76-4.10; p = 0.19), infection (OR: 0.44; 95% CI: 0.11-1.84; p = 0.26), or readmission rates (OR: 1.07; 95% CI: 0.78-1.46; p = 0.68).

Frail patients with LVADs have higher long-term mortality but similar short-term outcomes, hospital stays, intubation times, bleeding, infection, and readmission rates compared to non-frail patients. These findings highlight the need for tailored strategies to improve outcomes in frail LVAD patients and suggest further research on frailty interventions.

Frailty is associated with poor health outcomes in elderly population. However, its effect on midterm outcomes in elderly patients undergoing primary percutaneous coronary intervention (PCI) for ST-elevation myocardial infarction (STEMI) remains unknown.

This study aimed to evaluate the association between frailty, as classified by the Clinical Frailty Scale (CFS), and midterm adverse outcomes in elderly STEMI patients after primary PCI.

In this prospective, observational, multicenter cohort study, frailty status of 426 STEMI patients aged ≥60 years undergoing primary PCI was determined using the nine-point CFS 2 weeks before the occurrence of STEMI. Patients scoring at least four points on the CFS were considered frail. The primary outcome was a composite of cardiovascular death or readmission. Secondary outcomes included cardiovascular death, cardiovascular readmission, heart failure-related death or readmission, and myocardial reinfarction. Follow-up data were collected through medical record reviews and/or telephone interviews.

Of 426 elderly patients, 116 were frail. The median follow-up period was 15 months (interquartile range 5-19 months). Primary outcome events occurred in 87 (75.0%) frail and 75 (24.2%) nonfrail patients. The adjusted hazard ratio was 3.278 after model selection using the Bayesian Model Averaging approach (95% confidence interval 2.372-4.531). Multivariate Cox proportional hazard survival analysis showed that frailty was significantly associated with a higher prevalence of all secondary outcome events after adjusting for TIMI, PAMI, and CADILLAC risk scores.

Frailty, as defined by the CFS, was independently associated with midterm adverse outcomes in elderly patients undergoing primary PCI for STEMI.

As ageing accelerates, frailty increasingly impacts public health. Cough, sputum, wheezing and dyspnea are common respiratory symptoms, and the relationship to frailty is unclear. We aimed to analyze the relationship between respiratory symptoms and frailty.

Cross-sectional and Mendelian randomization (MR) studies were used. Cross-sectional data involved 14,021 participants from the National Health and Nutrition Examination Survey (NHANES). Logistic and linear regression were used to analyze the relationship between respiratory symptoms (cough, sputum, wheezing, dyspnea) and frailty. We adjusted for multiple variables and used propensity score matching (PSM). Mediation analysis was used to explore the role of inflammatory markers and age in the relationship between the two. We analyzed the relationship using a two-sample MR approach with data from genome-wide association studies (GWAS) to enhance causal inference.

Observational studies have shown that cough (OR 1.74, 95 CI% 1.44, 2.09), sputum (OR 1.87, 95 CI% 1.57, 2.22), wheezing (OR 2.01, 95 CI% 1.68, 2.40), and dyspnea (OR 2.60, 95 CI% 2.28, 2.97) are associated with an elevated risk of frailty. The PSM results were stable. Mediation analyses indicated that elevated inflammatory markers and advancing age were mediators between respiratory symptoms and frailty. The results of the MR study showed that sputum and wheezing were associated with an elevated frailty index; and in the study of FI on respiratory symptoms, all respiratory symptoms were elevated with elevated FI.

Our study identified a potential association between frailty and respiratory symptoms. Inflammation and ageing may be essential factors mediating this association.

Resilience to stressors has emerged as a major gerontological concept aiming to promote more positive outcomes for older adults. Achieving this aim relies on determining mechanisms underlying capacity to respond resiliently. This paper seeks proof of principle for the hypothesis that physical aspects of said capacity are rooted in the fitness of one's physiology governing stress response, conceptualized as a dynamical system. The Study of Physical Resilience in Aging ("SPRING") leveraged stimulus-response experiments to characterize physiological fitness in older adults scheduled for one of three major stressors: Total knee replacement, incident hemodialysis, or bone marrow transplant in hematological cancer. Here we analyze Holter monitor time series, cortisol responses to adrenocorticotropic hormone (ACTH) stimulation, and repeated diurnal salivary cortisol assessment in the SPRING pilot (n=79). Principal components analysis was applied anticipating steady-state and "adaptation" mechanisms underlying the repeated physiological measures. Analytic features evidenced these mechanisms, supporting construct validity. Component scores were analyzed by major stressor, hypothesized surrogate physiologic measures (physical frailty phenotype, self-report of health), and demographic, health and behavioral characteristics. Scores differed substantially by stressor type and the surrogate physiologic measures, evidencing criterion validity. Our data support that HRV, ACTH and salivary cortisol stimulus-response data jointly assess adaptation capacity across a variety of major stressors. We believe that SPRING is the first study in humans to concurrently query multiple physiologic systems using stimulus-response tests. Our findings lay groundwork for future validation with further data and to better forecast resilience of older adults to clinical stressors.

The prevalence of chronic kidney disease (CKD) is gradually increasing in the elderly population. At the same time, frailty has become one of the research hotspots in the field of geriatrics. Bibliometric analyses help to understand the direction of a field. Therefore, this study aimed to analyze the status and emerging trends of frailty in CKD patients.

The Web of Science Core Collection (WoSCC) database was screened for relevant literature published between 1 January 2000 and 31 December 2021. Next, publications were analyzed for information including authors, journals, cited references, citing journals, institutions, countries and regions, high-frequency keywords and co-citations using VOSviewer, Microsoft Excel, and R software.

A total of 2223 articles were obtained, from which 613 relevant articles were selected based on title and abstract screening. There was an upward trend in the number of annual publications and Johansen KL was considered the most contributing author in the field. The Clinical Journal of the American Society of Nephrology was the most productive research journal. Johns Hopkins University is the most published organization. The United States is the global leader in the field and contributes the most to research. Research hotspots focus on epidemiological studies of frailty and frailty intervention.

This study presents a comprehensive bibliometric analysis of CKD and frailty research. Key findings highlight the current focus on early screening and assessment of frailty in CKD patients, as well as physical function interventions in frail patients.

Context: The best treatment for end-stage chronic kidney disease (ESKD) is kidney transplantation (KT). As a result of an aging population, each year more kidney transplants in older adults are performed. Nevertheless, older recipients, characterized by more comorbidities and frailty, raise concerns about the outcomes, potential complications, and the general approach. Aim: The aim of this literature review was to study the outcomes, graft and patient survival, as well as common complications, to establish safety and increase awareness of the potential complications of kidney transplantation in the older population. Methods: PubMed and Google scholar databases were searched. The cut-off age defining an old patient was 60 years. The inclusion criteria were as follows: first kidney transplantation, and studies in English language. The exclusion criteria were as follows: more than one organ transplant, dual transplants, articles published before 2015, meta-analysis, reviews, letter to the editor, case reports, and studies published only as a conference abstract. Comparative and noncomparative studies addressing patient survival, death-censored graft survival, surgical complications, and clinical complications, such as delayed graft function (DGF) and biopsy proven acute rejection (PBAR), were included. Results: After screening the papers, 17 studies met the inclusion criteria and were included for review. Eleven papers compared older recipients with younger recipients and in six papers only older patients were analysed. Two studies used paired deceased donors to eliminate donor bias. The rest of the studies used either deceased donors or both living and deceased donors. The majority of patients were male (61.83%) and received a kidney from a deceased donor (58.08%). Conclusions: Kidney transplantation is safe and can be beneficial for recipients over 60 years of age. Older patients suffered more infectious complications, which were also one of the main reasons for death. Most studies did not show a significant difference in death-censored graft survival compared to the younger population. More research is needed to establish the prevalence of surgical complications, and some clinical complications.

Patients with advanced age and frailty require interventions for structural heart disease at an increasing rate. These patients typically experience higher rates of postoperative morbidity, mortality and prolonged hospital length of stay, loss of independence as well as associated increased costs to the healthcare system. Therefore, it is becoming critically important to raise awareness and develop strategies to improve clinical outcomes in the contemporary, high-risk patient population undergoing cardiacprocedures.

Percutaneous options for structural heart disease have dramatically improved the therapeutic options for some older, frail, high-risk patients; however, others may still require cardiac surgery. Minimally invasive techniques can reduce some of the physiologic burden experienced by patients undergoing surgery and improve recovery. Enhanced Recovery After Cardiac Surgery (ERAS Cardiac) is a comprehensive, interdisciplinary, evidence-based approach to perioperative care. It has been shown to improve recovery and patient satisfaction while reducing complications and length of stay.

Combining minimally invasive cardiac surgery with enhanced recovery protocols may result in improved patient outcomes for a patient population at high risk of morbidity and mortality following cardiac surgery.

As people age, their ability to maintain homeostasis in response to stressors diminishes. Physical frailty, a syndrome characterized by loss of resilience to stressors, is thought to emerge due to dysregulation of and breakdowns in communication among key physiological systems. Dynamical systems modeling of these physiological systems aims to model the underlying processes that govern response to stressors. We hypothesize that dynamical systems model summaries are predictive of age-related declines in health and function. In this study, we analyze data obtained during 75-gram oral-glucose tolerance tests (OGTT) on 1,120 adults older than 50 years of age from the Baltimore Longitudinal Study on Aging. We adopt a two-stage modeling approach. First, we fit OGTT curves with the Ackerman model-a nonlinear, parametric model of the glucose-insulin system-and with functional principal components analysis. We then fit linear and Cox proportional hazards models to evaluate whether usual gait speed and survival are associated with the stage-one model summaries. We also develop recommendations for identifying inadequately-fitting nonlinear model fits in a cohort setting with numerous heterogeneous response curves. These recommendations include: (1) defining a constrained parameter space that ensures biologically plausible model fits, (2) evaluating the relative discrepancy between predicted and observed responses of biological interest, and (3) identifying model fits that have notably poor model fit summary measures, such as [Formula: see text], relative to other fits in the cohort. The Ackerman model was unable to adequately fit 36% of the OGTT curves. The stage-two regression analyses found no associations between Ackerman model summaries and usual gait speed, nor with survival. The second functional principal component score was associated with faster gait speed (p<0.01) and improved survival (p<0.01).

Estimation of muscle mass is a pivotal component in the diagnosis of protein-energy wasting and sarcopenia. While bioimpedance spectroscopy is a widely  accepted technique for the assessment of lean tissue related to the diagnosis of sarcopenia, to date skeletal muscle ultrasound (US) has not gained full acceptance for this purpose. The aim of this study was to assess the predictive value for mortality of the indexed thickness of the quadriceps vastus intermedius, as measured by US, compared to lean tissue index as estimated by bioimpedance spectroscopy, both combined with handgrip strength in a group of patients with end-stage kidney disease (ESKD) on maintenance hemodialysis (HD).

The cut-off values for low handgrip strength were < 27 kg for males and < 16 kg for females. The cut-off value for low lean tissue index was obtained from an age-matched healthy control group, with low lean tissue index being defined as values below the 10th percentile of the distribution of healthy subjects. The cut-off values for low quadriceps vastus intermedius thickness index were < 3.44 mm/m2 for males and < 3.52 mm/m2 for females.

Ultrasound and bioimpedance spectroscopy were performed in 99 patients, and handgrip strength was assessed in 64 patients, all on maintenance HD. After a median follow-up of 28 months (interquartile range 19-41 months) 38 patients died. Lean tissue index was not associated with mortality, while low quadriceps vastus intermedius thickness index and low handgrip strength were associated with an increased hazard of death. In the fully adjusted model, only the combination of low handgrip strength and low quadriceps vastus intermedius thickness index was significantly associated with higher mortality.

When combined with low handgrip strength, low quadriceps muscle US outperformed low lean tissue index as assessed by bioimpedance spectroscopy in predicting mortality in a cohort of patients on maintenance HD. Ultrasound may be a useful and convenient technique for the assessment of sarcopenia and protein-energy wasting in this patient population.

Enhanced Recovery After Surgery (ERAS) programs have been shown to lessen surgical insult, promote recovery, and improve postoperative clinical outcomes across a number of specialty operations. A core tenet of ERAS involves the provision of protocolized evidence-based perioperative interventions. Given both the growing enthusiasm for applying ERAS principles to cardiac surgery and the broad scope of relevant interventions, an international, multidisciplinary expert panel was assembled to derive a list of potential program elements, review the literature, and provide a statement regarding clinical practice for each topic area. This article summarizes those consensus statements and their accompanying evidence. These results provide the foundation for best practice for the management of the adult patient undergoing cardiac surgery.

The anti-inflammatory role of physical exercise is mediated by interleukin 10 (IL-10), and their release is possibly upregulated in response to IL-6. Previous studies demonstrated that mice lacking IL-6 (IL-6 KO mice) exhibited diminished exercise tolerance, and reduced strength. Rev-erbα, a transcriptional suppressor involved in circadian rhythm, has been discovered to inhibit the expression of genes linked to bodily functions, encompassing inflammation and metabolism. It also plays a significant role in skeletal muscle and exercise performance capacity. Given the potential association between Rev-erbα and the immune system and the fact that both pathways are modulated following acute aerobic exercise, we examined the physical performance of IL-10 KO mice and analyzed the modulation of the atrophy and Rev-erbα pathways in the muscle of wild type (WT) and IL-10 KO mice following one session of acute exercise. For each phenotype, WT and IL-10 KO were divided into two subgroups (Control and Exercise). The acute exercise session started at 6 m/min, followed by 3 m/min increments every 3 min until animal exhaustion. Two hours after the end of the exercise protocol, the gastrocnemius muscle was removed and prepared for the reverse transcription-quantitative polymerase chain reaction (RT-q-PCR) and immunoblotting technique. In summary, compared to WT, the IL-10 KO animals showed lower body weight and grip strength in the baseline. The IL-10 control group presented a lower protein content of BMAL1. After the exercise protocol, the IL-10 KO group had higher mRNA levels of Trim63 (atrophy signaling pathway) and lower mRNA levels of Clock and Bmal1 (Rev-erbα signaling pathway). This is the first study showing the relationship between Rev-erbα and atrophy in IL-10 KO mice. Also, we accessed a public database that analyzed the gastrocnemius of MuRF KO mice submitted to two processes of muscle atrophy, a denervation surgery and dexamethasone (Dexa) injections. Independently of knockout, the denervation demonstrated lower Nr1d1 levels. In conclusion, IL-10 seems to be a determinant in the Rev-erbα pathway and atrophy after acute exercise, with no modulation in the baseline state.

Muscle wasting and low muscle mass are prominent features of protein energy wasting (PEW), sarcopenia and sarcopenic obesity in patients with chronic kidney disease (CKD). In addition, muscle wasting is associated with low muscle strength, impaired muscle function and adverse clinical outcomes such as low quality of life, hospitalizations and increased mortality. While assessment of muscle mass is well justified, the assessment of skeletal muscle should go beyond quantity. Imaging techniques provide the means for non-invasive, comprehensive, in-depth assessment of the quality of the muscle such as the infiltration of ectopic fat. These techniques include computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound. Dual energy X-ray absorptiometry is also an imaging technique, but one that only provides quantitative and not qualitative data on muscle. The main advantage of imaging techniques compared with other methods such as bioelectrical impedance analysis and anthropometry is that they offer higher precision and accuracy. On the other hand, the higher cost for acquiring and maintaining the imaging equipment, especially CT and MRI, makes these less-used options and available mostly for research purposes. In the field of CKD and end-stage kidney disease (ESKD), imaging techniques are gaining attention for evaluating muscle quantity and more recently muscle fat infiltration. This review describes the potential of these techniques in CKD and ESKD settings for muscle assessment beyond that of muscle quantity.

Frailty is a clinical, geriatric syndrome linked to disability and mortality; and may be associated with a variety of factors among underrepresented and underserved women living with HIV (WLWH) and without HIV (WLWOH) transitioning through the adult life course.

Determine whether a published set of factors associated cross-sectionally with frailty in WLWH and similar WLWOH at average age 39 years in 2005/2006 were associated with frailty in 2018/2019 among women who initiated frailty assessments at age ≥40 years, or whether a new set of factors were associated with frailty.

Cross-sectional analyses within a longitudinal cohort study.

The multi-center Women's Interagency HIV Study (WIHS).

1285 participants (951 WLWH, 334 WLWOH), median age 53 years (interquartile range 47-58 years).

The Fried Frailty Phenotype (FFP) in association with 23 factors representing HIV serostatus, other infections, sociodemographic factors, health behaviors, and chronic diseases.

Frailty prevalence was 11.1% in 2018/2019 (12.6% among WLWOH, 9.6% among WLWH, p=0.121). The published 2005/2006 final multivariable stepwise regression model contained 9 predictors of frailty. When refit to women in 2018/2019, only age ≥50 years and annual income ≤$12,000 were independently positively associated with frailty; other significant 2005/2006 factors, HIV serostatus, CD4+ count <500 cells/mL among WLWH, smoking, drinking, FIB-4 and eGFR, were not. A newly-derived stepwise model considering all 23 predictors measured in 2018/2019, showed independent positive associations between frailty and age ≥50 years, annual income ≤$12,000, obesity (body mass index (BMI) ≥30kg/m2), and history of tuberculosis and cancer.

Different chronic and infectious disease factors were associated with frailty among WLWH and WLWOH over the adult life course. Understanding factors associated with frailty by adult life stage, allows identification and implementation of novel, temporal interventions to alleviate frailty-associated outcomes and enhance quality of life among WLWH and WLWOH.

Frailty represents an emerging challenge and has major implications for clinical practice, public health, and the sustainability of health systems. It is a geriatric condition, related to but distinct from disability and multimorbidity and characterized by a diminished physiological reserve of multiple organs. Despite limited consensus and evidence, it has been argued that cognitive and social aspects influence the condition. Therefore, we aim to provide evidence on the importance of taking a broader approach in defining frailty, by investigating the role of its physical, social, and psychological subdomains to predict healthcare utilisation in elderly Europeans. The study is based on the Survey of Health, Ageing and Retirement in Europe (SHARE), and uses 185,169 total observations from 12 European countries included in wave 4, 5, 6, and 8. The analysis investigates the influence of the physical frailty index (a proxy of the Frailty Phenotype definition), psychological and social frailty indexes (built to proxy the Tilburg Frailty Index) on the likelihood of hospitalisation and the number of doctor visits. We addressed missing values due to item non-response with fully conditional specification multivariate imputation and exploited the longitudinal structure of the data to control for time-fixed unobserved characteristics. In addition, our two multivariate models included regressors to correct for demand side factors (health status, socio-economic status, and behavioral risk) as well as for country-specific characteristics. Physical and psychological frailty positively influence the likelihood of hospitalisation (OR = 1.90 and OR = 1.31, respectively) and the number of doctor visits (IRR = 1.30 and IRR = 1.07), while social frailty reduces the two types of health services utilisation (OR = 0.53 and IRR = 0.90). The three frailty dimensions are relevant risk stratification factors in elderly Europeans, and health policies should focus more on the psycho-social aspects of this condition, as a strategy to both contain expenditures and avoid potential healthcare inequalities.

Although studies have analyzed the relationship between frailty and human senses, few have comprehensively evaluated and examined their correlations. This study aimed to clarify the relationship between frailty and the senses of sight, hearing, smell, and taste.

The subjects were outpatients at the Locomo Frail Outpatient Clinic. Sensory organ items were evaluated subjectively, and frailty was classified as nonfrail or frail using the Kihon Checklist. Univariate analysis was performed using the presence or absence of frailty as the dependent variable. Logistic regression analysis (forced entry method) was performed for the variables that showed significant differences.

A total of 269 and 226 participants were assigned to the nonfrail and frail groups, respectively. The frequency of sensory organ impairment was 10.1% for taste, 12.7% for smell, 44.6% for vision, and 58.3% for hearing. Univariate analysis using the presence or absence of frailty as the dependent variable was determined to be significant for years of education, number of medications, Geriatric Depression Scale, Mini-Mental State Examination, Mini Nutritional Assessment-Short Form, grip strength, gait speed, sense of taste, sense of smell, sense of vision, and sense of hearing. Logistic regression analysis using the presence or absence of frailty as the dependent variable, adjusted for age, showed significant correlations with the Geriatric Depression Scale, gait speed, Mini Nutritional Assessment-Short Form, and olfactory impairment.

Olfactory impairment had the strongest correlation with frailty. Although the sense of smell decreases with disease and aging, olfactory impairment may be correlated with frailty as a symptom of neurodegenerative diseases. Geriatr Gerontol Int 2023; 23: 871-876.

The containment measures linked to the COVID-19 pandemic negatively affected the phyco-physical well-being of the population, especially older adults with neurocognitive disorders (NCDs). This study aims to evaluate whether the frailty of NCD patients was associated with different changes in multiple health domains, in particular in relation to loneliness and social isolation, pre- and post-lockdown.

Patients were recruited from 10 Italian Centers for Cognitive Disorders and Dementia. Data were collected in the pre-pandemic period (T0), during the pandemic lockdown (T1), and 6-9 months post-lockdown (T2). The UCLA Loneliness Scale-3, Activities of Daily Living (ADL), Instrumental ADL (IADL), Mini-Mental State Examination, and Neuropsychiatric Inventory (NPI) were administered. Caregivers' burden was also tested. Patients were categorized as non-frail, pre-frail, and frail according to the Fatigue, Resistance, Ambulation, Illness, and Loss of Weight scale.

The sample included 165 subjects (61.9% women, mean age 79.5 ± 4.9 years). In the whole sample, the ADL, IADL, and NPI scores significantly declined between T0 and T2. There were no significative variations in functional and cognitive domains between the frail groups. During lockdown we recorded higher Depression Anxiety Stress Scales and Perceived Stress Scale scores in frail people. In multivariable logistic regression, frailty was associated with an increase in social isolation, and a loss of IADL.

We observed a global deterioration in functional and neuro-psychiatric domains irrespective of the degree of frailty. Frailty was associated with the worsening of social isolation during lockdown. Frail patients and their caregivers seemed to experience more anxiety and stress disorders during SARS-CoV-2 pandemic.

This study assessed the potential of back extensor strength as an alternative marker of frailty. A total of 560 farmers were included. Computed tomography scans measured fat and muscle mass volumes at the mid-L4 vertebral level. Back extensor strength was measured in a seated posture. Multivariate linear regression was used to analyze the associations between back extensor strength and trunk muscle/fat compositions. The participants were divided into two groups based on back extensor strength. Propensity score matching, multivariate logistic regression, and Extreme Gradient Boosting (XGBoost) were employed to evaluate the relationship between Fried's frailty criteria and back extensor strength. Back extensor strength exhibited positive associations with abdominal muscle volume (r = 1.12) as well as back muscle volume (r = 0.89) (p < 0.05). Back extensor strength was linked to more frail status, such as reduced grip strength, walking speed, and frequent self-reported exhaustion. Multivariate logistic regression indicated that back extensor strength was associated with higher frail status (OR = 0.990), and XGBoost analysis identified back extensor strength as the most important predictor (gain = 0.502) for frailty. The prediction models using grip strength produced similar results (OR = 0.869, gain = 0.482). These findings suggested the potential of back extensor strength as an alternative frailty marker.

Frailty affects the prognosis and management of patients with heart failure, and is often related with sarcopenia. Also, the serum myostatin (MSTN) involved in the development of sarcopenia and frailty. This study aimed to determine the connection between MSTN level and frailty in older adults with chronic heart failure (CHF).

This prospective case-control study enrolled older adult patients with CHF between May 2019 and May 2021, and analyzed their clinical data.

In this study 75 older adults with CHF were included, 29 of whom were frail. The B-type natriuretic peptide (BNP) levels were significantly higher in frail older adults with CHF than in older adults with CHF who were not frail (316.82 ± 235.64 pg/mL vs 198.61 ± 112.58 pg/mL; P = 0.016). The MSTN levels were significantly higher in frail participants than in participants who were not frail (2.93 ± 1.35 ng/mL vs 2.24 ± 0.84 ng/mL; P = 0.018). Based on multivariable analysis the BNP (odds ratio [OR] = 1.004, 95% confidence interval [CI] = 1 0.001-1.008; P = 0.018) and MSTN (OR = 1.772, 95% CI = 1.079-2.912; P =0 0.024) levels were independently associated with frailty in older adults with CHF.

MSTN is a promising biomarker of frailty in elderly patients with CHF.

"Frailty" is a term used to refer to a state characterized by enhanced vulnerability to, and impaired recovery from, stressors compared with a nonfrail state, which is increasingly viewed as a loss of resilience. With increasing life expectancy and the associated rise in years spent with physical frailty, there is a need to understand the clinical and physiological features of frailty and the factors driving it. We describe the clinical definitions of age-related frailty and their limitations in allowing us to understand the pathogenesis of this prevalent condition. Given that age-related frailty manifests in the form of functional declines such as poor balance, falls, and immobility, as an alternative we view frailty from a physiological viewpoint and describe what is known of the organ-based components of frailty, including adiposity, the brain, and neuromuscular, skeletal muscle, immune, and cardiovascular systems, as individual systems and as components in multisystem dysregulation. By doing so we aim to highlight current understanding of the physiological phenotype of frailty and reveal key knowledge gaps and potential mechanistic drivers of the trajectory to frailty. We also review the studies in humans that have intervened with exercise to reduce frailty. We conclude that more longitudinal and interventional clinical studies are required in older adults. Such observational studies should interrogate the progression from a nonfrail to a frail state, assessing individual elements of frailty to produce a deep physiological phenotype of the syndrome. The findings will identify mechanistic drivers of frailty and allow targeted interventions to diminish frailty progression.

This study aimed to explore the association between chronic pain, sleep quality, and frailty, and whether sleep quality will mediate the relationship between chronic pain and frailty. A cross-sectional study was conducted between June 2020 and July 2021 among 308 patients in Nantong city. The relationship between chronic pain and frailty was tested using linear regression. The bootstrap method was used to examine mediating effect of sleep quality. Chronic pain was significantly correlated with frailty (r=0.271, P<.001). Sleep quality played a partially mediating role between chronic pain and frailty (β=0.160, R²=32%, P<.001). Interventions to scientifically manage chronic pain and improve sleep quality may be effective in reducing the incidence of frailty in elderly cancer patients.

Although the availability of effective novel treatments has positively impacted the quality of life and survival of newly diagnosed multiple myeloma (MM) patients, benefits in the transplant ineligible MM population may be limited by functional/frailty status. The Canadian Myeloma Research Group Consensus Guideline Consortium proposes consensus recommendations for the first-line treatment of transplant ineligible MM. To address the needs of physicians and people diagnosed with MM, this document further focuses on eligibility for transplant, frailty assessment, management of adverse events, assessment of treatment response, and monitoring for disease relapse. The Canadian Myeloma Research Group Consensus Guideline Consortium will periodically review the recommendations herein and update as necessary.

Multimorbidity and frailty are highly prevalent in older people with diabetes. This high prevalence is likely due to a combination of ageing and diabetes-related complications and other diabetes-associated comorbidities. Both multimorbidity and frailty are associated with a wide range of adverse outcomes in older people with diabetes, which are proportionally related to the number of morbidities and to the severity of frailty. Although, the multimorbidity pattern or cluster of morbidities that have the most adverse effect are not yet well defined, it appears that mental health disorders enhance the multimorbidity-related adverse outcomes. Therefore, comprehensive diabetes guidelines that incorporate a holistic approach that includes screening and management of mental health disorders such as depression is required. The adverse outcomes predicted by multimorbidity and frailty appear to be similar and include an increased risk of health care utilisation, disability and mortality. The differential effect of one condition on outcomes, independent of the other, still needs future exploration. In addition, prospective clinical trials are required to investigate whether interventions to reduce multimorbidity and frailty both separately and in combination would improve clinical outcomes.

Sarcopenia and frailty are common in patients with heart failure (HF) and are strongly associated with prognosis. This review aims to examine promising biomarkers that can guide physicians in identifying sarcopenia and frailty in HF.

Traditional biomarkers including C-reactive protein, aminotransaminase, myostatin, and urinary creatinine as well as novel biomarkers including microRNAs, suppression of tumorigenicity 2 (ST2), galectin-3, and procollagen type III N-terminal peptide may help in predicting the development of sarcopenia and frailty in HF patients. Among those biomarkers, aminotransferase, urinary creatinine, and ST2 predicted the prognosis in HF patients with sarcopenia and frailty. This review outlines the current knowledge of biomarkers that are considered promising for diagnosing sarcopenia and frailty in HF. The listed biomarkers might support the diagnosis, prognosis, and therapeutic decisions for sarcopenia and frailty in HF patients.

Transcatheter edge-to-edge repair (TEER) with MitraClip (Abbott, Santa Clara, California) is a frequently chosen method for mitral valve repair for patients at high surgical risk. We investigated the impact of frailty on outcomes of patients who underwent TEER. We reviewed the National Inpatient Sample to identify patients that underwent TEER with MitraClip. Frailty was defined using the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnoses indicator. The primary end point was in-hospital mortality. The secondary end points included blood transfusion, respiratory failure, sepsis, length of stay, and total hospitalization cost. Univariate and multivariate logistic regression analyses were performed to determine any association between frailty and primary or secondary outcomes. From January 2016 to December 2017, 10,055 patients underwent TEER in the United States, and 10.6% of them met the criteria for frailty. The frail group showed increased in-hospital mortality (7.04% vs 1.61%, p <0.001) and respiratory failure (3.75% vs 0.95%, p <0.001). Similarly, the frail group had longer lengths of stay (6 vs 2 days, p <0.001) and higher hospitalization costs ($224.8k vs $180.9k, p <0.001). After multivariable logistic regression analysis, frailty was associated with increased in-hospital mortality (odds ratio [OR] 3.70, 95% confidence interval [CI] 1.91 to 7.18, p <0.001), transfusion (OR 1.85, 95% CI 1.07 to 3.19, p = 0.029), respiratory failure (OR 3.56, 95% CI 1.48 to 8.52, p = 0.005), and sepsis (OR 4.17, 95% CI 1.84 to 9.46, p = 0.001). In conclusion, frailty was present in about 10% of patients who underwent TEER from 2016 to 2017. The presence of frailty was associated with worse in-hospital outcomes and greater resource use.

The frailty syndrome is characterized by a decreased capacity to adequately respond to stressors. One of the most impaired physiological systems is the autonomous nervous system, which can be assessed through heart rate (HR) variability (HRV) analysis. In this article, we studied the chronotropic response (HR and HRV) to a walking test. We also analyzed HRV indices in rest as potential biomarkers of frailty. For this, a 160 m-walking test and two standing rest tests (before and after the walking) were performed by young (19−29 years old, n = 21, 57% women), middle-aged (30−59 years old, n = 16, 62% women), and frail older adults (>60 years old, n = 28, 40% women) and non-frail older adults (>60 years old, n = 15, 71% women), classified with the FRAIL scale and the Clinical Frailty Scale (CFS). Frequency domain parameters better allowed to distinguish between frail and non-frail older adults (low-frequency power LF, high-frequency power HF (nu), LF/HF ratio, and ECG-derived respiration rate EDR). Frail older adults showed an increased HF (nu) and EDR and a reduced LF (nu) and LF/HF compared to non-frail older adults. The increase in HF (nu) could be due to a higher breathing effort. Our results showed that a walk of 160 m is a sufficient cardiovascular stressor to exhibit an attenuated autonomic response in frail older adults. Several HRV indices showed to be potential biomarkers of frailty, being LF (nu) and the time required to reach the maximum HR the best candidates.

Aging is one of the most important prognostic factors increasing the risk of clinical severity and mortality of COVID-19 infection. However, among patients over 75 years, little is known about post-acute functional decline.

The aim of this study was to identify factors associated with functional decline 3 months after COVID-19 onset, to identify long term COVID-19 symptoms and transitions between frailty statesafter COVID-19 onset in older hospitalized patients.

This prospective observational study included COVID-19 patients consecutively hospitalized from March to December 2020 in Acute Geriatric Ward in Nantes University Hospital. Functional decline, frailty status and long term symptoms were assessed at 3 month follow up. Functional status was assessed using the Activities of Daily Living simplified scale (ADL). Frailty status was evaluated using Clinical Frailty Scale (CFS). We performed multivariable analyses to identify factors associated with functional decline.

Among the 318 patients hospitalized for COVID-19 infection, 198 were alive 3 months after discharge. At 3 months, functional decline occurred in 69 (36%) patients. In multivariable analysis, a significant association was found between functional decline and stroke (OR = 4,57, p = 0,003), history of depressive disorder (OR = 3,05, p = 0,016), complications (OR = 2,24, p = 0,039), length of stay (OR = 1,05, p = 0,025) and age (OR = 1,08, p = 0,028). At 3 months, 75 patients described long-term symptoms (49.0%). Of those with frailty (CFS scores ≥5) at 3-months follow-up, 30% were not frail at baseline. Increasing frailty defined by a worse CFS state between baseline and 3 months occurred in 41 patients (26.8%).

This study provides evidence that both the severity of the COVID-19 infection and preexisting medical conditions correlates with a functional decline at distance of the infection. This encourages practitioners to establish discharge personalized care plan based on a multidimensional geriatric assessment and in parallel on clinical severity evaluation.

HtrA1 (High temperature requirement A1) family proteins include four members, widely conserved from prokaryotes to eukaryotes, named HtrA1, HtrA2, HtrA3 and HtrA4. HtrA1 is a serine protease involved in a variety of biological functions regulating many signaling pathways degrading specific components and playing key roles in many human diseases such as neurodegenerative disorders, pregnancy complications and cancer. Due to its role in the breakdown of many ExtraCellular Matrix (ECM) components of articular cartilage such as fibronectin, decorin and aggrecan, HtrA1 encouraged many researches on studying its role in several skeletal diseases (SDs). These studies were further inspired by the fact that HtrA1 is able to regulate the signaling of one of the most important cytokines involved in SDs, the TGFβ-1. This review aims to summarize the data currently available on the role of HtrA1 in skeletal diseases such as Osteoporosis, Rheumatoid Arthritis, Osteoarthritis and Intervertebral Disc Degeneration (IDD). The use of HtrA1 as a marker of frailty in geriatric medicine would represent a powerful tool for identifying older individuals at risk of developing skeletal disorders, evaluating an appropriate intervention to improve quality care in these people avoiding or improving age-related SDs in the elderly population.

This narrative review presents a biological rationale and evidence to describe how the preoperative condition of the patient contributes to postoperative morbidity. Any preoperative condition that prevents a patient from tolerating the physiological stress of surgery (e.g. poor cardiopulmonary reserve, sarcopaenia), impairs the stress response (e.g. malnutrition, frailty), and/or augments the catabolic response to stress (e.g. insulin resistance) is a risk factor for poor surgical outcomes. Prehabilitation interventions that include exercise, nutrition, and psychosocial components can be applied before surgery to strengthen physiological reserve and enhance functional capacity, which, in turn, supports recovery through attaining surgical resilience. Prehabilitation complements Enhanced Recovery After Surgery (ERAS) care to achieve optimal patient outcomes because recovery is not a passive process and it begins preoperatively.

Randomized trials have shown short- and mid-term benefits with transcatheter versus surgical aortic valve replacement (TAVR versus SAVR) for patients at intermediate or low-risk for surgery. Frailty and prefrailty could explain some of this benefit due to an impaired ability to recover fully from a major surgical procedure.

We examined 2-year outcomes (survival and Kansas City Cardiomyopathy Questionnaire [KCCQ] scores) among patients at intermediate or low surgical risk treated with transfemoral-TAVR or SAVR within the PARTNER (Placement of Aortic Transcatheter Valves) 2A trial, SAPIEN 3 intermediate-risk registry, and PARTNER 3 trial. Frailty was examined as a continuous variable based on grip strength, gait speed, serum albumin, and activities of daily living. We tested the interaction of frailty markers by treatment (TAVR versus SAVR) in proportional hazards regression models (survival) and piecewise linear regression models (KCCQ), adjusting for patient demographic and clinical factors.

Among the 3025 patients in the analytic cohort (2003 TAVR, 1022 SAVR; mean age 79.3 years, 61.6% men), 799 (26.4%) were nonfrail, 2041 (67.5%) were prefrail (1-2 frailty markers), and 185 (6.1%) were frail (3-4 frailty markers). Increasing frailty (none versus prefrail versus frail) was associated with higher 2-year mortality (5.5% versus 11.1% versus 22.8%; log-rank P<0.001) and worse 2-year health status among survivors (KCCQ scores adjusted for baseline: 84.8 versus 79.6 versus 77.4, P<0.001). In multivariable models, there were no significant interactions between frailty markers and treatment group for either survival (interaction P=0.39) or health status (interaction P>0.47 for all time points).

In a cohort of older patients with severe aortic stenosis who were at low or intermediate surgical risk, increasing frailty markers were associated with worse 2-year mortality and greater health status impairment after either TAVR or SAVR, but there were no significant interactions between type of valve replacement and frailty with respect to either outcome.

Fragility hip fracture (FHF) is a significant cause of morbidity and mortality in older adults. In 2018, Best Practice Nursing Care Standards for Older Adults with Fragility Hip Fracture (NSOF) were released by The International Collaboration of Orthopaedic Nursing (ICON). However, there are only limited clinical data about the application of this standard in clinical practice in China.

To determine the clinical practice effect of the NSOF.

A retrospective single-centre cohort study was performed from January 2016 to June 2020. Patients were divided into the standardized nursing care group (SN group) and the conventional nursing care group (CN group) depending on whether they were cared for according to the NSOF criteria. The propensity score matched (PSM) analysis was conducted in this study. The perioperative and follow-up outcomes between the two groups were analyzed.

A total of 204 patients diagnosed with FHF were included in the study. After a 1:1 matching, 56 cases were identified in the SN group as well as the CN group. Patients in the SN group had significantly shorter preoperative wait times for surgery (17.4 ± 4.6 vs. 24.4 ± 7.6 h, p < 0.05) and a higher proportion of individuals performing exercise within 24 h after surgery (94.6% vs. 66.1%, p < 0.05). Notably, patients in the SN group also had a significantly shorter length of stay than those in the CN group (9.4 ± 3.1 vs. 14.2 ± 5.1 days, p < 0.05). At the 6-month follow-up, the incidence of refracture was significantly lower (3.6% vs. 14.3%, p < 0.05), and the timed up and go mobility index was improved in the SN group compared to the CN group (20.3 ± 1.7 vs. 24.6 ± 2.2 s, p < 0.05).

This study showed that application of the NSOF resulted in a significant improvement in the treatment of older adults patients with FHF.

No tailored model incorporating physical frailty for 2-year mortality in cirrhosis is available for practitioners in general practice. Thus we aimed to develop a model based on laboratory results and physical frailty allowing clinicians for stratifying cirrhotics by using individual estimate.

One hundred and thirteen cases were assigned to the primary cohort, and all other 76 patients were regarded as the validation cohort. Multivariate Cox regression was performed, and a nomogram including five-meter gait speed (5MGS) were generated. The performance of the proposed model was assessed by C-index, calibration curve, and decision curve analysis (DCA).

On multivariate analysis, the Model for End-Stage Liver Disease-Sodium, albumin and 5MGS were independent predictors for 2-year mortality in cirrhosis. A nomogram incorporating all these parameters achieved a C-index of 0.804 (95%CI, 0.731-0.877). The calibration curve implied optimal correspondence between the predicted survival and actual outcomes. Our model is useful in the clinical settings based on DCA. Similar results were observed in the validation cohort with a C-index of 0.796 (95%CI, 0.689-0.899). Moreover, 5MGS, as a surrogate of physical performance, significantly correlated with multiple domains of general frailty according to Frailty Index (our published data), including instrumental activities of daily living, self-reported health, social activity and falls.

In conclusion, the nomogram incorporating 5MGS may represent an individualized tool for predicting mortality in cirrhosis for primary care physicians.

While frailty is thought to be a wasting disorder, there is scarce data regarding the association between frailty and body mass index (BMI). The aim of this study was to determine the relationship between BMI, frailty, and mortality among hospitalized older adults.

This is a secondary analysis of a prospective cohort study of patients aged ≥65 years admitted to a tertiary center between 2014 and 2016. Frailty was assessed by Reported Edmonton Frailty Scale (REFS) and categorized as: not frail, vulnerable/mild frail, and moderate/severe frail. BMI (kg/m2) was categorized as: underweight (<18.5), normal (18.5-24.9), overweight (25.0- 29.9), or obese (≥ 30.0). Primary outcome was all-cause one-year mortality.

Among 769 patients included in the study, 55.4% were frail. There was no statistically significant association between frailty categories and levels of BMI. Frail patients had a higher risk of death than non-frail after adjusting for confounders [HR: 1.98, 95% CI (1.46, 2.70) for mild frail and HR 2.03, 95% CI (1.43, 2.87) for moderate/severe frail]. Compared with normal weight patients, those who were overweight had a survival advantage if they were non-frail [HR 0.55, 95% CI (0.31, 0.96)] or vulnerable/mild frail [HR 0.65, 95% CI (0.43, 0.97)] but not if they were moderate/severe frail. There were no other statistically significant differences in survival by BMI and frailty categories.

We did not find a relationship between BMI and frailty among hospitalized older adults. Overweight patients had a survival advantage if they were non-frail or vulnerable. There is need for further longitudinal studies assessing the interaction between frailty and BMI in older adults.

To investigate the rate and patterns of accumulation of frailty manifestations in relationship to all-cause mortality and whether there is a point in the progression of frailty beyond which the process becomes irreversible and death becomes imminent (a.k.a. point of no return).

Longitudinal observational study.

Community or a non-nursing home residential care setting.

Two thousand five hundred and fifty seven robust older adults identified at baseline in 2011 with follow-up for all-cause mortality between 2011 and 2018.

Frailty was measured by the physical frailty phenotype. Cox models were used to study the relationships of the number of frailty criteria (0-5) at each point in time and its accumulation patterns with all-cause mortality. Markov state-transition models were used to study annual transitions between health states (i.e., frailty, recovery, and death) after becoming frail among those with frailty onset (n = 373).

There was a nonlinear association between greater number of frailty criteria and increasing risk of mortality, with a notable risk acceleration after having accumulated all five criteria (hazard ratio (HR) = 32.6 vs none, 95% confidence interval (CI) = 15.7-67.5). In addition, the risk of one-year mortality tripled, and the likelihood of recovery (i.e., reverting to be robust or pre-frail) halved among those with five frailty criteria compared to those with three or four criteria. A 50% increase in mortality risk was also associated with frailty onset without (vs with) a prior history of pre-frailty (HR = 1.51, 95% CI = 1.20-1.90).

Both the number and rate of accumulation of frailty criteria were associated with mortality risk. Although there was insufficient evidence to declare a point of no return, having all five-frailty criteria signals the beginning of a transition toward a point of no return. Ongoing monitoring of frailty progression could aid clinical and personal decision-making regarding timing of intervention and eventual transition from curative to palliative care.

Feasible and predictive scoring systems for severely injured geriatric patients are lacking. Therefore, the aim of this study was to develop a scoring system for the prediction of in-hospital mortality in severely injured geriatric trauma patients. The TraumaRegister DGU^® (TR-DGU) was utilized. European geriatric patients (≥65 years) admitted between 2008 and 2017 were included. Relevant patient variables were implemented in the GERtality score. By conducting a receiver operating characteristic (ROC) analysis, a comparison with the Geriatric Trauma Outcome Score (GTOS) and the Revised Injury Severity Classification II (RISC-II) Score was performed. A total of 58,055 geriatric trauma patients (mean age: 77 years) were included. Univariable analysis led to the following variables: age ≥ 80 years, need for packed red blood cells (PRBC) transfusion prior to intensive care unit (ICU), American Society of Anesthesiologists (ASA) score ≥ 3, Glasgow Coma Scale (GCS) ≤ 13, Abbreviated Injury Scale (AIS) in any body region ≥ 4. The maximum GERtality score was 5 points. A mortality rate of 72.4% was calculated in patients with the maximum GERtality score. Mortality rates of 65.1 and 47.5% were encountered in patients with GERtality scores of 4 and 3 points, respectively. The area under the curve (AUC) of the novel GERtality score was 0.803 (GTOS: 0.784; RISC-II: 0.879). The novel GERtality score is a simple and feasible score that enables an adequate prediction of the probability of mortality in polytraumatized geriatric patients by using only five specific parameters.

Frailty is associated with an increased risk of chemotherapy toxicity. Cellular markers of inflammation can help identify patients with frailty characteristics. However, the role of cellular markers of inflammation in identifying patients at risk of developing chemotherapy-induced frailty and their clinical utility are not fully understood.

This study was a secondary analysis of a large nationwide cohort study of women with stage I-IIIC breast cancer (n = 581, mean age 53.4; range 22-81). Measures were completed pre-chemotherapy (T1), post-chemotherapy (T2), and 6 months post-chemotherapy (T3). Frailty was assessed at all three time points using a modified Fried score consisting of four self-reported measures (weakness, exhaustion, physical activity, and walking speed; 0-4, 1 point for each). Immune cell counts as well as neutrophil to lymphocyte ratio (NLR) and lymphocyte to monocyte ratio (LMR) were obtained at T1 and T2 time points. Separate linear regressions were used to evaluate the associations of (1) cell counts at T1 with frailty at T1, T2, and T3 and (2) change in cell counts (T2-T1) with frailty at T2 and T3. We controlled for relevant covariates and frailty at the T1 time point.

From T1 to T2, the mean frailty score increased (1.3 vs 2.0; p < 0.01) and returned to T1 levels by the T3 time point (1.3 vs 1.3; p = 0.85). At the T1 time point, there was a positive association between cellular markers of inflammation and frailty: WBC (β = 0.04; p < 0.05), neutrophils (β = 0.04; p < 0.05), and NLR (β = 0.04; p < 0.01). From T1 to T2, a greater increase in cellular markers of inflammation was associated with frailty at T2 (WBC: β = 0.02, p < 0.05; neutrophils: β = 0.03, p < 0.05; NLR: β = 0.03; p < 0.01). These associations remained significant after controlling for the receipt of growth factors with chemotherapy and the time between when laboratory data was provided and the start or end of chemotherapy.

In patients with breast cancer undergoing chemotherapy, cellular markers of inflammation are associated with frailty. Immune cell counts may help clinicians identify patients at risk of frailty during chemotherapy.

ClinicalTrials.gov , NCT01382082.