Frailty Factors Research Articles

Pro-Inflammatory Diets Are Associated with Frailty in an Urban Middle-Aged African American and White Cohort.

Diet quality is a modifiable risk factor for frailty, but research on the association of frailty with dietary inflammatory potential is limited. The objective was to determine associations between diet quality assessed by the dietary inflammatory index (DII) with frailty status over time. Participants with both dietary and frailty data from the longitudinal Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study were used (n = 2901, 43.5% male, 43.8% African American, 48.5 y mean baseline age, with a mean 8.7 y of follow-up). Group-based trajectory modeling identified two frailty (remaining non-frail or being pre-frail/frail over time) and three diet quality trajectory groups (high or medium pro-inflammatory and anti-inflammatory potentials). Multiple logistic regression found both medium pro-inflammatory and anti-inflammatory DII trajectory groups, compared to the high pro-inflammatory group, were positively associated with being non-frail over time for the overall sample, both sexes and races. Kaplan-Meier curves and log-rank test revealed anti-inflammatory DII scores were associated with lower risk for being pre-frail or frail. No longitudinal relationship existed between frailty status at baseline and annualized DII change, a check on reverse causality. This study contributes to our current knowledge providing longitudinal evidence of the link between anti-inflammatory DII score with lower frailty risk.

Prevalence and risk factors of frailty in older patients with chronic heart failure: a systematic review and meta-analysis.

To provide a summary of the available evidence concerning prevalence and risk factors of frailty in elderly patients with CHF. PubMed, Embase, Web of Science, CINAHL, The Cochrane Library, China National Knowledge Infrastructure Database (CNKI), Chinese Biomedical Database (Sinomed), Weipu Database (VIP), and Wanfang database were searched from inception to July 2023. This study strictly followed the PRISMA guidelines. The quality of the included studies was rated by the Agency for Healthcare and Research and Quality and the Newcastle-Ottawa Scale. A total of 21 original studies were included, involving 4,797 patients. Meta-analysis results showed that the prevalence of frailty in older patients with heart failure was 38% (95%CI: 0.32-0.44). Age, cardiac function grading, left atrial diameter, left ventricular ejection fraction, hemoglobin, polypharmacy, BNP, nutritional risk, and hospitalization day are the influential factors of frailty in older patients with CHF. The prevalence of frailty in older patients with CHF is high, and clinical medical personnel should identify and intervene early to reduce or delay the frailty in older patients with CHF as much as possible.

Prevalence and related factors of cognitive frailty in diabetic patients in China: a systematic review and meta-analysis.

Cognitive frailty (CF) is characterized by physical frailty and potentially reversible cognitive impairment without Alzheimer's disease and other dementias. Clarifying the prevalence and related factors of cognitive frailty can help researchers understand its epidemiological status and formulate intervention measures. This study aims to conduct a systematic review and meta-analysis of the prevalence and related factors of CF in diabetic patients in Chinas to better understand the current status of CF in diabetic patients in China and develop effective intervention measures for related factors. PubMed, Web of Science, Embase, Cochrane Library, CNKI, Weipu(VIP), WANFANG, China Biology Medicine (CBM) and DUXIU were searched to collect epidemiological data on Chinese diabetic patients. Articles published through May 29, 2023, were searched. The number of diabetes with CF and the total number of diabetes in the included studies were extracted to estimate the prevalence of diabetes with CF. For factors related to diabetes with CF, odds ratios (OR) and 95% confidence intervals (CI) were used for estimation. A total of 248 records were screened, of which 18 met the inclusion criteria. The results of meta-analysis showed that the prevalence of Chinese diabetic patients with CF was 25.8% (95% CI = 19.7 to 31.9%). Subgroup analysis showed that hospital prevalence was higher than in the community and in women than in men. Combined estimates showed that depression, malnutrition, advanced age (≥70, ≥80), combined chronic diseases ≥4 and glycated hemoglobin ≥8.5 were risk factors for CF in diabetics patients in China, with regular exercise and high education level (≥ college) as protective factors. Cognitive frailty was common in diabetic patients in China. Such populations should be screened early and intervened with relevant factors.Systematic review registration: A systematic review of this study evaluated the registered websites as https://www.crd.york.ac.uk/PROSPERO/, CRD42023431396.

Myosteatosis and Frailty Factors associated with the occurrence of Complications in Cirrhotic patients: MYOFACC study

Background and aim: Cirrhosis leads to sarcopenia and to life-threatening complications in decompensated stages. The objective of this study is to show the impact of the loss of muscle mass and function on hepatic decompensations. Methods: Our study compares a group of cirrhotic patients with controls matched with the same sex and age. A questionnaire was created to collect demographic, anthropometric, and cirrhosis characteristics. Several CT scan sections were analyzed and the average measurements have been grouped into tertiles to estimate the impact on cirrhotic complications. Results: Our study included 33 controls and 33 cirrhotic patients of which 59.4% had NASH. Anthropometric characteristics were similar in cirrhotics men and women. Grip strength was significantly lower in cirrhotic men. Using the skeletal muscle index we found 39.39% of cirrhotic patients were sarcopenic mostly men 84.61%. In Cirrhotic men, the density of the psoas and paravertebral muscles was lower than in controls. In women psoas and paravertebral muscle areas were comparable and the total muscle surface in cirrhotic patients was higher. There was a negative correlation between this surface and the density of the psoas (r = -0.293 p = 0.017) indicating the presence of myosteatosis in women. Analysing tertile groups showed a significantly higher incidence of complications related to liver disease and liver failure in patients with the psoas and paravertebral muscle density in the lowest tertile and in the frail population according to the frailty index. Conclusion: Cirrhotic patients have myosteatosis and sarcopenia associated with a higher incidence of complications related to hepatic failure.

Response to letter to the editor on "The prevalence and influencing factors of frailty in patients with chronic kidney disease: a systematic review and meta-analysis".

Response to letter to the editor on "The prevalence and influencing factors of frailty in patients with chronic kidney disease: a systematic review and meta-analysis".

Anti-coagulant Treatment of Cancer-Associated Thrombosis in Frail Patients: Impact of Frailties on the Management of Drug-Drug Interactions.

Low molecular weight heparins (LMWH) and anti-Xa direct oral anti-coagulants (DOACs) are recommended for the long-term treatment of cancer-associated thrombosis (CAT) based on well-documented randomised controlled trials. Anti-Xa DOACs are viewed as a first choice for the treatment of patients with CAT. A large number of drug-drug interactions have been reported between DOACs and chemotherapy drugs, modifying circulating levels of DOAC leading to fears of increased bleeding risks or thrombotic recurrence. Progresses in anti-neoplastic therapies have improved the prognosis and the survival, thus increasing the prevalence of frail patients with cancer. However, since frailties tend to be excluded from large trials due to multiple co-morbidities, current guidelines are not fully applicable to this population. The management of these frail patients with CAT is particularly complex and requires a risk assessment on a case-by-case basis with specific focus on cancer, patient-related risk factors and drug-drug interactions. In this brief review we have identified age, co-morbidities and co-medications as key factors of frailty that require careful attention and we have developed a therapeutic decision algorithm to help clinicians optimising the use of anti-coagulants in patients with cancer with CAT, especially in case of anti-Xa DOACs concomitant medications. With the evaluation of the bleeding risk according to the type of cancer, and anticipating drug-drug interactions intensity, taking into account patient frailties allows the optimisation of the anti-coagulant choice. A systematic collaboration between oncologists, vascular pathology specialists and pharmacists is warranted to ensure an optimal patient management. Clinical studies are needed to determine the real impact of these interactions.

Physical frailty recovery is slower than mental frailty recovery after non-cardiac surgery in older adult patients.

Frailty is characterized by fragility and decline in physical, mental, and social activities; it is commonly observed in older adults. No studies have reported frailty status changes between the preoperative and postoperative periods, including mental and cognitive factors. Therefore, this study investigated frailty factors, including mental and cognitive functions, that change after non-cardiac surgery in older adults. Patients aged ≥ 75years who underwent non-cardiac surgery were surveyed using five tools (Eastern Cooperative Oncology Group-Performance Status (PS); handgrip strengths; Japan-Cardiovascular Health Study index (J-CHS index); Mini-Mental State Examination (MMSE); and Geriatric Depression Scale) for comprehensive evaluation of perioperative functions. The results before surgery, at discharge, and during follow-up at the outpatient clinic were compared. Fifty-three patients with a median age of 80 (IQR, 77-84) years were evaluated. MMSE scores did not change during the perioperative period. The PS and J-CHS index worsened significantly at discharge and did not improve at the outpatient clinic follow-up. The dominant handgrip strength decreased after surgery (p < 0.001) but improved during follow-up. Additionally, nondominant handgrip strength decreased after surgery (p < 0.001) but did not recover as much as the dominant handgrip strength during follow-up (p = 0.015). Changes in physical frailty and mental and cognitive functions were not identical perioperatively in older adult patients undergoing non-cardiac surgery. Physical frailty did not improve 1month after surgery, mental function recovered early, and cognitive function did not decline. This study may be important for frailty prevention in older adult patients.

Outcomes of Geriatric Burn Patients Presenting to the Trauma Service: How Does Frailty Factor in?

IntroductionFrailty has been known to negatively affect the outcomes of geriatric trauma patients. However, there is a lack of data on the effect of frailty on the outcomes of geriatric trauma patients with concomitant burn injuries. The aim of our study was to compare the outcomes of frail versus nonfrail geriatric trauma patients with concomitant burn injuries. MethodsWe performed a retrospective analysis of American College of Surgeons Trauma Quality Improvement Program (2018). We included geriatric (≥65 y) trauma patients who sustained a concomitant burn injury with ≥10% Total Body Surface Area affected. Patients with body region-specific AIS ≥4 were excluded. Patients were stratified into Frail and Nonfrail, using 5-factor modified Frailty Index. Primary outcomes measured were mortality. Secondary outcomes measured were complications, and hospital and intensive care unit (ICU) length of stay (LOS). Multivariable logistic regression was performed to identify independent predictors of mortality. ResultsA total of 574 patients were identified, of which 172(30%) were Frail. Mean age was 74 ± 7 y and median [interquartile range] ISS was 3[1-10]. Overall, the rate of mortality was 23% and median hospital LOS was 14[3-31]. After controlling for potential confounding factors, frailty was not identified as an independent predictor of mortality (adjusted odds ratio:1.059, P = 0.93) and complications (adjusted odds ratio:1.10, P = 0.73). However, frail patients had longer hospital (β: 5.01, P = 0.002) and ICU LOS (β: 2.12, P < 0.001). ConclusionsAmong geriatric trauma patients with concomitant burn injuries, frailty is associated with longer hospital and ICU LOS, and higher rates of thrombotic complications, but not higher mortality or overall complications. Future research should investigate the impact of early assessment of frailty as well as tailored interventions on outcomes in this population.

Comment on "The prevalence and influencing factors of frailty in patients with chronic kidney disease: a systematic review and meta-analysis".

Comment on "The prevalence and influencing factors of frailty in patients with chronic kidney disease: a systematic review and meta-analysis".

The Importance of Incorporating Proportional Alignment in Adult Cervical Deformity Corrections Relative to Regional and Global Alignment: Steps Toward Development of a Cervical-Specific Score.

The Global Alignment and Proportion(GAP) Score is widely used in adult spinal deformity surgery. However, it is not specific to the parameters used in adult cervical deformity(ACD). Create a cervicothoracic alignment and proportion(CAP) score in operative ACD patients. Retrospective single-center study. ACD patients with two-year(2Y) data were included. Parameters consisted of: relative McGregor's Slope[RMGS =(MGS*1.5)/0.9], relative cervical lordosis[RCL=CL - Thoracic Kyphosis(TK)], Cervical Lordosis Distribution Index(CLDI=C2-Apex*100/C2-T2), relative pelvic version(RPV=SS - PI*0.59+9), and a frailty factor(greater than 0.33). Cutoff points were chosen where the cross-tabulation of parameter subgroups reached maximal rate of meeting Optimal Outcome. Optimal outcome was defined as meeting Good Clinical Outcome(GCO) criteria without occurrence of distal junctional failure(DJF) or reoperation. CAP was scored between 0-13 and categorized accordingly: ≤3(Proportioned), 4-6(Moderately Disproportioned), >6(Severely Disproportioned). Multivariable logistic regression analysis determined the relationship between CAP categories, overall score and development of distal junctional kyphosis(DJK), DJF, reoperation, and Optimal Outcome by two years. 105 operative ACD patients were included. Assessment of three-month CAP score found a mean of 5.2/13 possible points. There were 22.7% of patients who were proportioned, 49.5% moderately disproportioned, and 27.8% severely disproportioned. DJK occurred in 34.5% and DJF in 8.7% DJF, 20.0% underwent reoperation, and 55.7% achieved Optimal Outcome. Patients severely disproportioned in CAP had higher odds of DJK (OR: 6.0,[2.1-17.7];P=0.001), DJF (OR: 9.7[1.8-51.8];P=0.008), reoperation(OR: 3.3,[1.9-10.6];P=0.011), and lower odds of meeting the optimal outcome(OR: 0.3,[0.1-0.7]; P=0.007) by two years, while Proportioned patients suffered zero occurrences of DJK or DJF. The regional alignment and proportion score is a method of analyzing the cervical spine relative to global alignment and demonstrates the importance of maintaining horizontal gaze, while also matching overall cervical and thoracolumbar alignment to limit complications and maximize clinical improvement.

Current clinical practice in the management of Brazilian patients with potentially resectable pancreatic ductal adenocarcinoma (PDAC).

We aimed to describe the routine clinical practice of physicians involved in the treatment of patients with localized pancreatic ductal adenocarcinoma(PDAC) in Brazil. Physicians were invited through email and text messages to participate in an electronic survey sponsored by the Brazilian Gastrointestinal Tumor Group (GTG)and the Brazilian Society of Surgical Oncology (SBCO).We evaluated the relationship between variable categories numerically with false discovery rate-adjusted Fisher's exact test p values and graphically with Multiple Correspondence Analysis. Overall, 255 physicians answered the survey. Most (52.5%) were medical oncologists, treated patients predominantly in the private setting (71.0%), and had access to multidisciplinary tumor boards (MTDTB;76.1%). Medical oncologists were more likely to describe neoadjuvant therapy as beneficial in the resectable setting and surgeons in the borderline resectable setting. Most physicians would use information on risk factors for early recurrence, frailty, and type of surgery to decide treatment strategy. Doctors working predominantly in public institutions were less likely to have access to MTDTB and to consider FOLFIRINOX the most adequate regimen in the neoadjuvant setting. Considerable differences exist in the management of localized PDAC, some of them possibly explained by the medical specialty, but also by the funding source of health care.

Risk Factors and Prediction Nomogram of Cognitive Frailty with Diabetes in the Elderly.

Diabetes is a well-recognized risk factor for cognitive frailty. This study aimed to investigate the influencing factors of cognitive frailty in elderly patients with diabetes and develop a nomogram for its assessment. We collected the clinical data of diabetic patients aged 60 years or older and the patients were divided into training and validation cohorts at a ratio of 7:3. In the training cohort, logistic regression was used to screen out the influencing factors of cognitive frailty in elderly diabetic patients, and a risk prediction model and nomogram were constructed and verified in the validation cohort. The performance of the model was evaluated using various measures, including the area under the receiver operating characteristic curve, calibration curve, Hosmer-Lemeshow test and decision curve analysis. A total of 315 elderly diabetic patients were included, of which 87 (27.6%) patients had cognitive frailty. Age, albumin levels, calf circumference, duration of diabetes, intellectual activity, and depressive state were identified as independent risk factors for cognitive frailty in older patients with diabetes (P < 0.05). The training cohort and validation cohort demonstrated area under curve (AUC) values of 0.866 and 0.821, respectively. Older patients with diabetes have a higher prevalence of cognitive frailty. The nomogram model exhibited satisfactory calibration and identification, providing a reliable tool for assessing the risk of cognitive frailty in individuals with diabetes.

Current evidence on the association of tongue strength with cognitive decline in older adults and the known risk factors of frailty, sarcopenia and nutritional health: a scoping review protocol

IntroductionEvidence suggests that the pathology underlying cognitive decline leading to dementia begins 15–20 years before cognitive symptoms emerge. Thus, identifying biomarkers in this preclinical phase is critically important. Age-related decrease...

Prevalence and associated factors of cognitive frailty in community-dwelling older adults: Results from the Korean longitudinal study of aging.

Cognitive frailty, a condition characterized by physical frailty with cognitive impairment, is emerging as a determinant of adverse health outcomes in older adults. However, its prevalence and correlation with associated factors are unknown in the aging population of Korea. To estimate the prevalence of cognitive frailty and identify factors associated with it among older Korean adults. A secondary analysis was performed using the Korean Longitudinal Study of Aging seventh survey dataset collected in 2018. Multinomial logistic regression analyses were conducted to examine the association between cognitive frailty and demographic, psychosocial, oral health and physical function factors. Individuals aged ≥65 years and without dementia were included (N = 1024). Participants were classified into four groups based on the presence or absence of physical frailty and mild cognitive impairment. This article is executed in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement. The prevalence of cognitive frailty in the study sample was 11.2%. The results of multinomial logistic regression showed that advanced age, being female, lower education levels, heart disease, arthritis or rheumatoid arthritis, underweight, depression, non-social activity, poor oral health and functional limitation were significantly associated with cognitive frailty. Cognitive frailty is prevalent among community-dwelling older adults in Korea. The findings provide primary care providers with insights about effective strategies for identifying at-risk individuals and will guide the development of population-level interventions to prevent or delay the onset of physical frailty and cognitive impairment in older adults. The findings provide practical information to healthcare providers for identifying cognitive frailty in older adults. The risk factors of cognitive frailty, such as psychosocial, oral health, and physical function factors, should be thoroughly monitored for older adults. Health personnel working in primary care have a critical role in identifying risk and beneficial factors and promoting preventative strategies that enhance health outcomes.

Is Frailty Different in Younger Adults Compared to Old? Prevalence, Characteristics, and Risk Factors of Early-Life and Late-Life Frailty in Samples from Sweden and UK

Introduction: Although frailty is commonly considered as a syndrome of old individuals, recent studies show that it can affect younger adults, too. Whether and how frailty differs in younger adults compared to old is however unknown. To this end, we analyzed the prevalence, characteristics, and risk factors of early-life (aged <65) and late-life (aged ≥65) frailty. Methods: We analyzed individuals in the UK Biobank (N = 405,123) and Swedish Screening Across the Lifespan Twin (SALT; N = 43,641) study. Frailty index (FI) scores ≥0.21 were used to demarcate frailty. Characteristics of early-life versus late-life frailty were analyzed by collating the FI items (deficits) into domains and comparing the domain scores between younger and older frail individuals. Logistic regression was used to assess the risk factors of frailty. Results: The pooled prevalence rates of frailty were 10.3% (95% confidence interval [CI]: 2.7–32.7), 14.4% (95% CI: 4.5–37.2), 19.2% (95% CI: 2.5–68.5) in individuals aged ≤55, 55–64, 65–74, respectively. Younger frail adults (aged <65) had higher scores in immunological, mental wellbeing, and pain-related domains, whereas older frail adults (aged ≥65) had higher scores in cardiometabolic, cancer, musculoskeletal, and sensory-related domains. Higher age, female sex, smoking, lower alcohol consumption, lower education, obesity, overweight, low income, and maternal smoking were similarly associated with the risk of early-life and late-life frailty. Conclusion: Frailty is prevalent also in younger age groups (aged <65) but differs in some of its characteristics from the old. The risk factors of frailty are nevertheless largely similar for early-life and late-life frailty.

Effect of overweight/obesity and metabolic syndrome on frailty in middle-aged and older Japanese adults.

The potential for developing frailty exists in middle-aged and older adults. While obesity and metabolic syndrome (MetS) increase the risk of frailty in older adults, this relationship remains unclear in middle-aged adults, who are prone to developing lifestyle-related diseases. To examine the effect of overweight/obesity and MetS on frailty development in middle-aged and older Japanese adults using real-world data. This nationwide cohort study used exhaustive health insurance claims data of 3,958,708 Japanese people from 2015 to 2019 provided by the Japan Health Insurance Association. Participants aged ≥35 and<70years who received health checkups in 2015 were included. Multivariate logistic regression was used to assess the effect of body mass index (BMI) and MetS or MetS components (i.e., diabetes, hypertension, and dyslipidemia) in 2015 on frailty risk assessed using the hospital frailty risk score in 2019. Additionally, a subgroup analysis was performed to examine the interaction effects of MetS components and 4-year weight change (%) on frailty risk among participants who were overweight and obese (BMI ≥25kg/m2). In 2019, 7204 (0.2%) and 253,671 (6.4%) participants were at high and intermediate frailty risks, respectively. Obesity and MetS were independently associated with intermediate/high frailty risk (odds ratio (OR) 1.36, p<0.05; OR 1.23, p<0.05, respectively) and high frailty risk (OR 1.80, p<0.05; OR 1.37, p<0.05, respectively) in all participants. Although all MetS components were frailty risk factors, these effects diminished with age in both sexes. Subgroup analysis of patients with diabetes revealed that 5%-10% weight loss was associated with reduced frailty risk in both sexes. Obesity, MetS, and MetS components were independent frailty risk factors in middle-aged and older Japanese adults. Weight loss of up to 10% over 4years prevented frailty in patients with diabetes who were overweight and obese.

Association between frailty and depression: A bidirectional Mendelian randomization study.

Frailty and depression were linked in observational studies, but the causality remains ambiguous. We intended to explore it using Mendelian randomization (MR). We obtained frailty genome-wide association study (GWAS) data from UK Biobank and TwinGen meta-analysis, and depression GWAS data from Psychiatric Genomics Consortium (PGC) and FinnGen (respectively recorded as PD and FD). We performed univariable and multivariable-adjusted MR with adjustments for body mass index (BMI) and physical activity (PA). Frailty was significantly associated with elevated risks of PD (OR, 1.860; 95% CI, 1.439 to 2.405; P < 0.001) and FD (OR, 1.745; 95% CI, 1.193 to 2.552; P = 0.004), and depression was meanwhile a susceptible factor for frailty (PD: β, 0.146; 95% CI, 0.086 to 0.201; P < 0.001; and FD: β, 0.112; 95% CI, 0.051 to 0.174; P < 0.001). This association was robust after adjustments for BMI or PA. Our study provides evidence of the bidirectional causal association between frailty and depression from genetic perspectives.

Health factors associated with cognitive frailty in older adults living in the community.

This study aims to investigate the health factors associated with cognitive frailty in frail and pre-frail older adults living in the community. A total of 233 older adults meeting Fried's criteria for pre-frailty or frailty were included. Cognitive status was evaluated using the Short Portable Mental Status Questionnaire. Health factors encompassed nutritional status (evaluated using the Mini Nutritional Assessment tool, body mass index, and waist, arm, and leg circumferences), physical function (assessed with the Short Physical Performance Battery), quality of life (measured with the total index of the EuroQoL 5-Dimension 5-Level questionnaire - EQoL-Index -, and the Visual-Analogue Scale - QoL-VAS - for today's health state), as well as sleep, physical activity, and inactivity estimated through wrist-worn accelerometers. Multivariable logistic regression analyses were conducted to identify potential predictors of cognitive frailty, considering age as a confounding factor. Cognitive frail participants exhibited advanced age, heightened self-reported exhaustion, diminished overall physical performance, reduced leg perimeter, decreased engagement in moderate-to-vigorous physical activity, and higher levels of inactivity (all p<0.05). However, after adjusting for age, only QoL-VAS emerged as a cognitive frailty risk factor (Odds ratio: 1.024), while the EQoL-Index, calf perimeter, and levels of moderate-to-vigorous physical activity were identified as protective factors (Odds ratios: 0.025, 0.929, and 0.973, respectively). This study highlights the complex relationship between non-modifiable factors such as age, and modifiable factors including quality of life, nutritional status, and physical activity in the development of cognitive frailty among older adults with a frailty phenotype living in the community.

Nomogram model for predicting frailty of patients with hematologic malignancies – A cross-sectional survey

ObjectiveThis study aimed to develop and validate an assessment tool for predicting and mitigating the risk of frailty in patients diagnosed with hematologic malignancies. MethodsA total of 342 patients with hematologic malignancies participated in this study, providing data on various demographics, disease-related information, daily activities, nutritional status, psychological well-being, frailty assessments, and laboratory indicators. The participants were randomly divided into training and validation groups at a 7:3 ratio. We employed Lasso regression analysis and cross-validation techniques to identify predictive factors. Subsequently, a nomogram prediction model was developed using multivariable logistic regression analysis. Discrimination ability, accuracy, and clinical utility were assessed through receiver operating characteristic (ROC) curves, C-index, calibration curves, and decision curve analysis (DCA). ResultsSeven predictors, namely disease duration of 6–12 months, disease duration exceeding 12 months, Charlson Comorbidity Index (CCI), prealbumin levels, hemoglobin levels, Generalized Anxiety Disorder-7 (GAD-7) scores, and Patient Health Questionnaire-9 (PHQ-9) scores, were identified as influential factors for frailty through Lasso regression analysis. The area under the ROC curve was 0.893 for the training set and 0.891 for the validation set. The Hosmer-Lemeshow goodness-of-fit test confirmed a good model fit. The C-index values for the training and validation sets were 0.889 and 0.811, respectively. The DCA curve illustrated a higher net benefit when using the nomogram prediction model within patients threshold probabilities ranging from 10% to 98%. ConclusionsThis study has successfully developed and validated an effective nomogram model for predicting frailty in patients diagnosed with hematologic malignancies. The model incorporates disease duration (6–12 months and > 12 months), CCI, prealbumin and hemoglobin levels, GAD-7, and PHQ-9 scores as predictive variables.

Analysis of the relationship between body habitus and frailty of community adults in Chongqing: a cross-sectional survey study.

Currently, a multitude of studies are underway to investigate the factors affecting the degree of frailty, with a significant focus on the critical role of body mass index (BMI). This study aims to conduct a cross-sectional survey to investigate the multifaceted relationship between multiple body habitus and the factors that influence the degree of frailty. A questionnaire survey was conducted among 840 adult residents in Chongqing communities. A total of 723 participants were included in the data analysis, with an effective response rate of 92.0%. Fried's frailty scale was used to classify individuals into fit, pre-frail, or frail. Non-parametric tests and chi-square tests were employed to evaluate the inter-group differences in frailty levels under different influencing factors. Multivariate logistic regression analysis was performed to select the independent variables associated with frailty statistics. According to the results of the parallel line test, ordered or disordered multivariate logistic regression was used to evaluate the impact of a single independent variable on frailty for different variables. Adult community residents in Chongqing accounted for 29.18 and 5.67% in pre-frailty and frailty, respectively. In multivariate logistic regression analysis, high BMI, and high waist-hip ratio (WHR) were identified as major risk factors for frailty. Furthermore, the process of aging, coupled with moderate to heavy alcohol consumption, active weight loss behavior in the past year, and the presence of comorbidities, emerged as significant contributors to frailty. Conversely, factors such as a positive inclination toward taste, consistent meal timing, habitual breakfast consumption, sound nutritional intake, and the cultivation of healthy dietary practices were recognized as pivotal elements that act as protective factors against frailty. The integration of both BMI and WHR provides a more comprehensive perspective, effectively capturing the intertwined influence of obesity and sarcopenia on the extent of frailty. To mitigate the risk of community-wide frailty, a multipronged approach is essential, involving the promotion of favorable dietary practices and achieving nutritional equilibrium, diligent management of coexisting medical conditions, moderation in alcohol consumption, and the enhancement of physical functionality.