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Aim Methods Results Conclusions The purpose of this study is to investigate the impact of abnormal blood pressure on the risk of all‐cause and cardiovascular mortality in a large cohort of older Japanese people aged ≥65 years.This cohort study enrolled 54 760 participants from Okayama City aged ≥65 years who underwent basic health checkups from April 2006 to March 2008. Based on blood pressure, the participants were divided into six categories, from C1 (lowest) to C6 (highest). To assess the association of blood pressure with all‐cause and cardiovascular mortality, we used survival analysis to estimate hazard ratios (HRs) for all‐cause mortality and subdistribution HRs (SHRs) for cardiovascular mortality on C3. We then repeated the analyses based on age groups (65–74 years, 75–84 years, and ≥85 years).The fully adjusted HRs for all‐cause mortality, which included all individual potential confounders, were 1.11 (95% confidence interval [CI]: 1.04–1.19) for C5 and 1.23 (95% CI: 1.09–1.38) for C6, respectively. The fully adjusted SHRs for cardiovascular mortality were 1.11 (95% CI: 1.01–1.21) for C4, 1.19 (95% CI: 1.05–1.34) for C5, and 1.36 (95% CI: 1.09–1.70) for C6. In the age‐stratification, an increased risk of hypotension was observed with older age. The HR for C1 was 1.28 (95% CI: 1.16–1.41) for ≥85 years.Hypertension increased the risk of all‐cause and cardiovascular mortality among those aged 65–74 and 75–84 years, but not among those aged ≥85 years. Geriatr Gerontol Int 2024; ••: ••–••. [ABSTRACT FROM AUTHOR]

BACKGROUND: Gait is one of the optimal indicators of functional status in older adults. Gait parameters are associated with adverse health outcomes in older adults. OBJECTIVE: To summarize and compare the practical value of gait parameters, and to review the progress of research on spatio-temporal parameters and the risk of adverse health outcomes in older adults. METHODS: PubMed, Web of Science, and CNKI were searched for relevant literature published from January 2010 to June 2023 using the search terms of “gait speed, walking speed, step length, cadence, step frequency, step time, walking base, aged and elderly” in English and Chinese, respectively. A total of 52 papers were finally included for the systematic review. RESULTS AND CONCLUSION: Currently, researchers have focused on three basic temporal-spatial parameters, namely, step speed, step length and step frequency, to explore their association with adverse health outcomes in older adults. Reduced gait speed in older adults may increase the risk of falls, all-cause mortality, and may be an independent predictor of all-cause mortality. Older adults with slow gait speed are at higher risk of cognitive decline, and may be the preferred gait parameter in assessing cognitive impairment in older adults. Older adults with slow gait speed are more likely to have debilitating or common chronic illnesses, and are at higher risk of hospitalization and public care. Step length is positively correlated with individual height and lower limb length, but age-induced shortening of step length is not related to height or lower limb length, and shortening of step length reflects reduced physical function in older adults, and shortening of step length is a risk factor for falls and cognitive decline in older adults. Stride frequency is often used as a measure of exercise intensity, and a stride frequency of ≥ 100 steps/minute is predictive of all-cause mortality, and slowing of step frequency may lead to a higher risk of falls, hospitalization and all-cause mortality in older adults. Changes in gait parameters are closely related to the level of physical fitness in older adults, and there may be a bidirectional relationship between the two. The results of the study will provide a theoretical basis for further improving risk screening in clinical populations, refining health risk assessment in the elderly, improving health protection and promoting active health in the elderly. [ABSTRACT FROM AUTHOR]

Background: Emerging evidence suggests a potential role of immune response and inflammation in the pathogenesis of diabetic kidney disease (DKD). The systemic immune-inflammation index (SII) offers a comprehensive measure of inflammation; however, its relationship with the prognosis of DKD patients remains unclear. Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, this cross-sectional study involved adults diagnosed with DKD. Cox proportional hazards models were utilized to assess the associations between SII and all-cause or cardio-cerebrovascular disease mortality. Additionally, restricted cubic spline, piecewise linear regression, and subgroup analyses were performed. Results: Over a median follow-up duration of 6.16 years, 1338 all-cause deaths were recorded. After adjusting for covariates, elevated SII levels were significantly associated with increased risks of all-cause and cardio-cerebrovascular disease mortality. Specifically, per one-unit increment in natural log-transformed SII (lnSII), there was a 29% increased risk of all-cause mortality (P < 0.001) and a 23% increased risk of cardio-cerebrovascular disease mortality (P = 0.01) in the fully adjusted model. Similar results were observed when SII was analyzed as a categorical variable (quartiles). Moreover, nonlinear association was identified between SII and all-cause mortality (P < 0.001) through restricted cubic spline analysis, with threshold value of 5.82 for lnSII. The robustness of these findings was confirmed in subgroup analyses. Likewise, the statistically significant correlation between SII levels and cardio-cerebrovascular disease mortality persisted in individuals with DKD. Conclusion: Increased SII levels, whether examined as continuous variables or categorized, demonstrate a significant association with elevated risks of all-cause and cardio-cerebrovascular disease mortality among DKD patients. These findings imply that maintaining SII within an optimal range could be crucial in reducing mortality risk. [ABSTRACT FROM AUTHOR]

Background: Growth differentiation factor 15 (GDF15) is a crucial biomarker in various physiological and pathological processes. While elevated GDF15 levels are linked to increased mortality risk, the role of DNA methylation (DNAm)-predicted GDF15 in predicting mortality has not been extensively studied. The purpose of the study is to investigate the association between DNAm-predicted GDF15 levels and all-cause and cardiovascular disease (CVD) mortality in a nationally representative cohort. Methods: Data from NHANES 1999–2002 were analyzed. DNAm-predicted GDF15 levels were estimated using a regression model. Weighted multivariate Cox regressions were employed to assess the relationship between DNAm-predicted GDF15 and mortality outcomes. Restricted cubic splines were used to explore dose-response relationships, and subgroup analyses were conducted to enhance result reliability. Results: Higher DNAm-predicted GDF15 levels were significantly associated with increased all-cause mortality risk (HR = 1.08, 95% CI: 1.02–1.15). Participants in the highest DNAm-predicted GDF15 tertile showed significantly higher all-cause mortality risk (HR = 1.56, 95% CI: 1.16–2.10) and a 2.52-fold increased risk of cardiovascular mortality (HR = 2.52, 95% CI: 1.22–5.19). Kaplan-Meier curves revealed decreasing survival probability with higher DNAm-predicted GDF15 tertiles. Restricted cubic spline analysis demonstrated a non-linear dose-response relationship between DNAm-predicted GDF15 levels and cardiovascular mortality. The positive correlation between DNAm-predicted GDF15 and mortality remained robust in most of subgroups. Conclusions: DNAm-predicted GDF15 independently predicts all-cause and cardiovascular mortality. This association persists across multiple models and stratified subgroups, supporting GDF15's value as a biomarker for mortality risk stratification. Future research should elucidate underlying biological mechanisms and evaluate GDF15's clinical utility in guiding mortality risk reduction interventions. [ABSTRACT FROM AUTHOR]

Backgrounds: Whether excess visceral fat tissue increases the risk of death in older individuals remains controversial. Aims: To investigate the association between the Chinese Visceral Adiposity Index (CVAI) and all-cause mortality risk in older Chinese individuals. Methods: This cohort study utilized data of individuals aged ≥ 65 years in 2014 to 2018 wave from the Chinese Longitudinal Healthy Longevity Survey database. Older individuals in the 2014 wave were included and followed up in 2018. CVAI was calculated based on age, body size, and blood lipid parameters, with higher values indicating increased visceral fat. Survival status was determined from official death certificates, local primary healthcare providers, or the family members of participants. Kaplan-Meier survival curve and log-rank test were employed to analyze cumulative mortality risk through CVAI tertiles (tertile 1: CVAI index < 97.34; tertile 2: 97.43 ≤ CVAI index < 132.21; and tertile 3: CVAI index ≥ 132.21). A Cox proportional hazards regression model was used to assess the relationship between the CVAI groups and all-cause mortality risk. Additionally, a sensitivity analysis was performed by excluding participants who died within the first year of follow-up. A subgroup analysis was performed based on age and sex, and a restricted cubic spline plot was created to analyze the dose-response relationship between CVAI and mortality risk. Results: A total of 1414 individuals were included, and the mean age of the participants was 84.6 (standard deviation: 10.9) years, of which 46.4% were women and 32.8% were died during a median follow-up time of 36.4 months. In the multivariable adjusted Cox regression model, we observed a significantly lower risk of mortality in the CVAI tertile 2 and 3 groups than in the tertile 1 group. The hazard ratios (HR) of the tertile 2 and 3 groups were 0.68 (95% CI, approximately 0.52–0.89) and 0.63 (95% CI, approximately 0.48–0.82), respectively. Subgroup analysis revealed that the protective effect of higher CVAI levels on mortality was more pronounced in participants aged 65–79 years and in women. Conclusion: Our study established a linear relationship between CVAI and mortality risk among community-dwelling older adults, with higher CVAI levels associated with a lower risk of all-cause mortality. These findings highlight the potential importance of visceral adiposity in predicting mortality risk in community-dwelling older adults. [ABSTRACT FROM AUTHOR]

Objectives: To determine the association of housing items and amenities with psychological wellbeing (PWB) and their relationship with all-cause and cardiovascular disease (CVD) mortality. Methods: This study was based on the framework of the HAPIEE study. Data from the Lithuanian Mortality Register were used to evaluate CVD and all-cause mortality from baseline survey (2006–2008) till 2023. The logistic regression model and multivariate Cox regression model were applied for data analysis. Results: The multivariable regression models showed that the material aspects of people's lives influenced their PWB status: increasing the number of housing items per 1 unit significantly increased the odds ratio (OR) of higher PWB status for males [OR = 1.14 (95% CI 1.11–1.18)] and females [OR = 1.13 (95% CI 1.11–1.17)] and decreased the risk of all-cause and CVD mortality in females [respectively HR = 0.93 (95% CI 0.91–0.96) and HR = 0.91 (95% CI 0.87–0.95)] and in males [respectively HR = 0.92 (95% CI 0.90–0.94) and HR = 0.90 (95% CI 0.87–0.93)]. Conclusion: These data suggest that the household items and amenities influenced PWB and may be used as risk factors in assessing the risk of all-cause and CVD mortality. [ABSTRACT FROM AUTHOR]

Although most drugs currently approved are meant to treat specific diseases or symptoms, it has been hypothesized that some might bear a beneficial effect on lifespan in healthy older individuals, outside of their specific disease indication. Such drugs include, among others, metformin, SGLT2 inhibitors and rapamycin. Since 2006, the UK biobank has recorded prescription medication and mortality data for over 500′000 participants, aged between 40 and 70 years old. In this work, we examined the impact of the top 406 prescribed medications on overall mortality rates within the general population of the UK. As expected, most drugs were linked to a shorter lifespan, likely due to the life‐limiting nature of the diseases they are prescribed to treat. Importantly, a few drugs were associated with increased lifespans, including notably Sildenafil, Atorvastatin, Naproxen and Estradiol. These retrospective results warrant further investigation in randomized controlled trials. [ABSTRACT FROM AUTHOR]

Importance: Studies have reported an association among systemic immune inflammation index (SII), all-cause and cause-specific mortality, but the results are inconsistent. Objective: To comprehensively explore the association between Systemic Immune Inflammation (SII) and the risk of all-cause mortality, cardiovascular disease (CVD), and cancer mortality. Evidence review: A meta-analysis was conducted by reviewing existing literature. The search encompassed prominent databases including PubMed, Embase, Cochrane, and the Web of Science, with the cutoff date set at March 1, 2024. Furthermore, subgroup analyses and dose-response assessments were undertaken to provide a nuanced exploration of mortality risk factors. Findings: A total of 33 articles were included (427,819 participants). In the study, SII was associated with an increased risk of all-cause mortality (HR = 1.45, 95%CI [1.36,1.54], P < 0.05). SII increased the risk of CVD mortality (HR = 1.44, 95%CI [1.29,1.60], P < 0.05). The Linear independence shows that for every 100 units increase in SII, the risk of all-cause and CVD death increases by 5% and 6%. SII was not associated with a statistically significant risk of cancer death (HR = 1.09, 95%CI [0.96,1.23], P < 0.05). Conclusions and relevance: Meta-analysis showed that SII was associated with all-cause mortality and CVD mortality. More data and basic research are needed to confirm the association. [ABSTRACT FROM AUTHOR]

Background: Elevated serum alkaline phosphatase (ALP) levels are a risk factor for all-cause mortality in hemodialysis patients. Traditionally in Japan, ALP measurements were conducted using the JSCC method, which yields higher ALP measurement values than the IFCC method, mainly due to its increased sensitivity to intestinal ALP. Methods: Serum total ALP levels before and after switching the assay method from JSCC to IFCC were compared among different blood types in 521 hemodialysis patients (Study 1). The association between ALP levels measured by the JSCC method and 7-year mortality was analyzed, including blood types and liver function parameters as covariates, in 510 hemodialysis patients (Study 2). Results: ALP levels measured by the JSCC method were approximately three times higher than those measured by the IFCC method, with significant elevation in patients with blood types B and O compared to those with blood types A and AB. Similarly, ALP levels measured by the IFCC method were significantly higher in patients with blood types B and O compared to those with blood types A and AB (Study 1). The highest tertile of ALP levels showed a significantly increased risk of all-cause mortality, even after adjusting for patient background. However, this significance disappeared when serum liver function-related or inflammatory markers were included as covariates (Study 2). Conclusion: ALP levels measured by the JSCC method are associated with life prognosis, but caution should be exercised due to their elevation in patients with blood types B and O and in those with hepatic dysfunction or inflammation. [ABSTRACT FROM AUTHOR]

Purpose: The benefits of leisure-time physical activity (LTPA) in reducing mortality are well-known, while the relationship between work-related physical activity (WRPA) and mortality remains controversial. The study aimed to investigate the association between WRPA and mortality, and to determine whether LTPA should be recommended in a population with a high level of WRPA. Method: Data were obtained from a sample of adults aged 20–80 years included in the National Health and Nutrition Examination Survey (NHANES) cohort from 2007 to 2018. Hazard ratios (HRs) for the association between WRPA and all-cause mortality were estimated using Cox proportional regression models. All analyses were performed in accordance with NHANES guidelines, in which data were complex-weighted first and then analyzed in the next step, Statistical significance was defined as a two-sided P-value < 0.05. Results: A total of 27,567 participants were included in the study. Over a median follow-up period of 78 months, a total of 2,553 (weighted ratio, 6.5%) participants were assumed dead. The mean age (SD) of this cohort was 47.5 (16.7), and 48.5% were men. Compared to participants without WRPA (as the reference group), participants engaged in WRPA exhibited a significantly reduced risk of all-cause mortality over different time periods. Specifically, the HR for participants with less than 17.5 h of weekly participation were 0.70 (95% CI: 0.62–0.78). For those participating between 17.5 and 35 h per week, the HR was 0.80 (95% CI: 0.64–1.00), while participants engaging in more than 35 h of weekly participation had an HR of 0.71 (95% CI: 0.56–0.91). Conclusions: WRPA is a protective factor that reduces the risk of all-cause death, especially in people without LTPA. [ABSTRACT FROM AUTHOR]

Aims: The relationship between α‐Klotho (αK) and mortality is controversial and has not been examined in a large, diverse cohort. We investigated the association between serum αK protein levels with all‐cause and cause‐specific mortality in a cohort representative of the US population. Methods: We used National Health and Nutrition Examination Survey (NHANES) data from 2007 to 2016. A nonlinear association between mortality and αK levels as a quadratic variable were examined using Cox proportional hazard models and competing risk models. Multivariable models were adjusted for age, gender, race, hypertension, diabetes, smoking, alcohol use, physical activity, body mass index (BMI), serum cholesterol, estimated glomerular filtration rate, highest educational status attained and family income to poverty threshold ratio. Results: Of the 13 749 participants, 1569 (11%) died, 7092 (52%) were female, and 5918 (43%) were Caucasian. The mean (SD) of age was 58 (11) years, BMI 29.7 (6.7) kg/m2, and αK was 0.85 (0.31) ng/mL. In the adjusted Cox proportional hazards model with quadratic αK, we found a U‐shaped relationship between all‐cause mortality and αK levels (continuous αK hazard ratio [HR] = 0.56, 95% confidence interval [CI]: 0.37, 0.85; P =.007; squared‐αK HR = 1.25, 95% CI: 1.11, 1.41; P < 0.001). A similar U‐shaped relationship was noted between αK and cancer mortality in the adjusted Cox proportional hazards model (continuous αK HR = 0.45, 95% CI: 0.19, 1.06; P = 0.07; squared αK HR = 1.32, 95% CI: 1.07, 1.61; P = 0.009). No relationship was present with cardiovascular or other‐cause mortality. Conclusions: In this large diverse cohort, we report a U‐shaped relationship between αK with all‐cause and cancer mortality. Further research to elucidate the underlying biological mechanism of these relationships is needed. [ABSTRACT FROM AUTHOR]

Summary: We utilized data from the NHANES to investigate the impact of physical activity on mortality in osteoporotic patients. Our study suggests that osteoporotic patients may require higher volumes of physical activity to reduce mortality risk compared to the general population. In osteoporotic patients, the dose–response relationships between physical activity volumes and both all-cause and cardiovascular mortality were linear. In contrast, these relationships were non-linear in participants without osteoporosis. Purpose: To determine the impact of physical activity on mortality in osteoporotic patients. Methods: A total of 5606 participants were included in this study, including 716 osteoporosis patients. Physical activity was assessed using standardized questionnaire. Participants were categorized into four groups: inactive (no physical activity), low active (physical activity volumes < 150 min/week), moderate active (≥ 150 min/week but < 300 min/week), and high active (≥ 300 min/week). Multivariable Cox regression models, using the inactive group as the reference and adjusted for potential confounders, were performed to estimate the hazard ratio (HR) and 95% confidence interval (CI). Results: Osteoporotic patients demonstrated higher mortality rates attributed to various causes compared to non-osteoporosis participants. Physical activity was associated with lower mortality regardless of osteoporosis status. However, Multivariable Cox regression analysis indicated that among osteoporosis patients, only those engaging in ≥ 300 min/week physical activity experienced a significant decrease in mortality (all-cause mortality, HR (95% CI) 0.453 (0.268, 0.767) and cardiovascular mortality, HR (95% CI) 0.521 (0.259, 1.049)), surpassing the threshold of 150 min observed in non-osteoporosis patients. In sensitivity analysis, or when the proportion of vigorous physical activity was included as a confounder in the multivariate Cox regression analysis, only the high active group still showed a significant reduction in mortality. No significant interactions were observed when the analysis was stratified according to age, sex, and body mass index (P for interaction > 0.05). Restricted cubic spline analysis revealed a linear relationship between physical activity volume and all-cause mortality (P < 0.01 [overall] and P = 0.470 [non-linearity]) and cardiovascular-specific mortality (P = 0.003 [overall] and P = 0.610 [non-linearity]) in patients with osteoporosis. In contrast, these relationships were non-linear in participants without osteoporosis. Conclusion: Patients with osteoporosis need to engage in ≥ 300 min/week physical activity to significantly reduce their mortality risk. And the higher the volume of physical activity, the lower the risk of death. [ABSTRACT FROM AUTHOR]

Aim: Our study aimed to evaluate the association between the metabolic score for visceral fat (METS‐VF) and mortality. Methods: We conducted a cohort study comprising 11,120 participants. We employed weighted multivariable Cox regression analysis to assess the relationship between METS‐VF and mortality. Restricted cubic spline analyses were used to investigate potential non‐linear associations. Receiver operating characteristic curves were used to evaluate the predictive value of METS‐VF and other obesity‐related indicators for mortality. Subgroup analysis and sensitivity analysis were performed to confirm the robustness of the results. Mendelian randomization analysis was utilized to assess potential causality. Results: Over a median follow‐up duration of 83 months, a total of 1014 all‐cause deaths, 301 cardiovascular deaths, and 262 cancer deaths occurred. For every 0.2‐unit increase in METS‐VF, the hazard ratios(HRs) of all‐cause mortality, cardiovascular mortality, and cancer mortality were 1.13 [95% confidence interval (CI): 1.06, 1.20], 1.18 (95% CI: 1.06, 1.31), and 1.13 (95% CI: 1.03, 1.25), respectively. In addition, restricted cubic spline analyses revealed no significant non‐linear associations between METS‐VF and all‐cause mortality, cardiovascular mortality, and cancer mortality. In multivariate Cox regression models, hazard ratios of all‐cause mortality, cardiovascular mortality and cancer mortality were higher in the highest METS‐VF group compared to the reference group. Subgroup and sensitivity analyses confirmed that our results were robust. Receiver operating characteristic curves indicated that METS‐VF predicted mortality better than other obesity‐related indicators. Mendelian randomization analysis confirmed significant causal relationships. Conclusions: METS‐VF was positively associated with all‐cause mortality, cardiovascular mortality, and cancer mortality. These findings suggest that METS‐VF could serve as a straightforward, reliable, and cost‐effective marker for identifying individuals at high risk of mortality. [ABSTRACT FROM AUTHOR]

Aims: To determine if estimated glucose disposal rate (eGDR) can predict cardiovascular disease mortality risk at different levels of glycaemic tolerance. Materials and Methods: The eGDR levels of 11 656 individuals aged 45–79 years from the National Health and Nutrition Examination Survey cycles 1999 to 2010 were analysed. Associations between eGDR levels and all‐cause and cardiovascular mortality were examined using Cox proportional hazards and Fine and Gray models, respectively. Results: After a median follow‐up of 12.8 years, a total of 2852 participants died, with 777 of those deaths attributed to cardiovascular causes. When comparing participants with eGDR values of ≤4 mg/kg/min to those with eGDR values falling within the ranges of 4–6, 6–8 and >8 mg/kg/min, it was found that the latter groups exhibited lower hazard ratios for both all‐cause mortality (0.61 [0.52–0.72], 0.61 [0.52–0.72] and 0.46 [0.39–0.55]) and cardiovascular mortality (0.44 [0.33–0.57], 0.45 [0.34–0.59] and 0.30 [0.23–0.40]). A U‐shaped relationship between eGDR and all‐cause mortality was observed, with an inflection point at an eGDR of 9.54 mg/kg/min. Conclusions: In the general population, the association between reduced eGDR and all‐cause and cardiovascular mortality was independently significant, contributing to the identification of individuals at high risk for different levels of glucose tolerances. [ABSTRACT FROM AUTHOR]

Purpose: Investigate the associations of ultra-processed foods (UPF) in healthful (hPDI) and unhealthful (uPDI) plant-based diets with all-cause mortality, greenhouse gas emissions (GHGE), and blue water consumption (BWC). Methods: Analyses were based on 35,030 participants (20–70 years; 74% females) from the EPIC-NL cohort who were followed up from 1993 to 1997 through 2014. Plant-based diet indices (hPDI and uPDI) and UPF consumption were calculated from a validated FFQ, assessed at baseline. Cox proportional hazard and multiple linear regression models were used to estimate associations between combined quartiles of the PDI indices and UPF consumption. Results: With lower hPDI and higher UPF diets as the reference, we observed the following. Risk estimates of all-cause mortality were 0.98 (95% CI: 0.83, 1.16) for lower UPF consumption, 0.86 (95% CI: 0.68, 1.08) for higher hPDI, and 0.78 (95% CI: 0.66, 0.89) for combined higher hPDI and lower UPF consumption. Results with the uPDI were inconclusive. Mean differences in GHGE and BWC were 1.4% (95% CI: 0.3, 2.4) and 1.6% (95% CI: -0.5, 3.7) for lower UPF consumption, -7.4% (95% CI: -8.6, -6.4) and 9.6% (95% CI: 7.2, 12.0) for higher hPDI, and − 6.8% (95% CI: -7.4, -6.1) and 13.1% (95% CI: 11.6, 14.8) for combined higher hPDI and lower UPF consumption. No apparent conflict between environmental impacts was observed for the uPDI; GHGE and BWC were lower for higher uPDI scores. Conclusion: Mortality risk and environmental impacts were mostly associated with the amount of plant-based foods and to a lesser extent UPF in the diet. Shifting to a more healthful plant-based diet could improve human health and reduce most aspects of environmental impact (GHGE, but not BWC) irrespective of UPF consumption. [ABSTRACT FROM AUTHOR]

Background: Recent studies have shown that the baseline values of absolute aortic root diameter (ARD) and indexed diameter are associated with all-cause mortality and cardiovascular events in the general population, even in the absence of aneurysmal aortic disease. However, there is limited available data on the association between ARD and prognosis in end-stage renal disease (ESRD) patients receiving maintenance hemodialysis (MHD). Accordingly, the purpose of this study is to investigate the predictive value of ARD for all-cause mortality and cardiovascular events in this specific population.Methods: ARD was measured by echocardiography at the level of the sinuses of Valsalva at end diastole and indexed to body surface area (BSA). The primary endpoint was all-cause mortality. The secondary endpoint was major adverse cardiovascular events (MACE), including cardiovascular mortality, myocardial infarction and stroke. Cox proportional hazards models were conducted to evaluate the association between baseline ARD/BSA and clinical outcomes.Results: A total of 391 patients were included in this study. The primary endpoint occurred in 95 (24.3%) patients while the secondary endpoint occurred in 71 (18.2%) patients. Multivariate Cox regression analysis showed that ARD/BSA was an independent prognostic factor for all-cause mortality (HR, per 1-SD increase, 1.403; 95% CI, 1.118–1.761; p = 0.003) as well as MACE (HR, per 1-SD increase, 1.356; 95% CI, 1.037–1.772; p = 0.026).Conclusions: Our results show that ARD/BSA is predictive of all-cause mortality and MACE in MHD patients with ESRD and support the view that assessment of ARD/BSA may refine risk stratification and preventive strategies in this population. [ABSTRACT FROM AUTHOR]

The relationship between monocyte-to-lymphocyte ratio (MLR) and prognosis in patients with chronic kidney disease (CKD) remains unclear. The aim of this study was to investigate the association between MLR and both all-cause mortality and cardiovascular disease (CVD) mortality in patients with CKD. This study analyzed data from National Health and Nutrition Examination Survey 2003-2010. This study included 11262 eligible subjects, and 3015 of them were with CKD. We first compared the differences in clinical characteristics between individuals with and without CKD, and then grouped the CKD population based on quartiles of MLR. The partial correlation analysis was conducted to assess the relationships between MLR and some important clinical features. Cox proportional hazards models were used to investigate the associations between MLR and mortality from all-cause and cardiovascular disease. Restricted cubic spline (RCS) was used to investigate the dose-response relationship between MLR and mortality, the receiver operating characteristic (ROC) curves is used to compare the efficacy of MLR with different clinical biological indicators in assessing the risk of death. During a median follow-up of 10.3 years in CKD population, 1398 (43%) all-cause deaths and 526 (16%) CVD deaths occurred. It has been found that individuals with CKD have higher MLR level. The partial correlation analysis results showed that even after adjusting for age, sex, and race, MLR is still correlated with blood glucose, lipid levels, and kidney function indicators. The results of the cox proportional hazards regression model and Kaplan-Meier curve shown after adjusting for covariates, higher MLR was significantly associated with an increased risk of mortality. Consistent results were also observed when MLR was examined as categorical variable (quartiles). The RCS demonstrated a positive association between MLR and the risk of all-cause mortality and cardiovascular mortality. The ROC results indicate that the predictive efficacy of MLR for all-cause mortality risk is comparable to eGFR, higher than NLR and CRP. The predictive efficacy of MLR for cardiovascular mortality risk is higher than these three indicators. Compared to non-CKD population, the CKD population has higher levels of MLR. In the CKD population, MLR is positively correlated with the risk of death. Furthermore, the predictive efficacy of MLR for mortality risk is higher than other clinical indicators. This suggests that MLR can serve as a simple and effective clinical indicator for predicting mortality risk in CKD patients. [ABSTRACT FROM AUTHOR]

The association between blood flow rate (BFR) and clinical outcomes in patients undergoing maintenance hemodialysis (MHD) is inconclusive. This retrospective study included 175 patients undergoing MHD treatment between July 2015 and March 2022, divided into two groups based on time-averaged effective blood flow rate (eBFR) median value. We investigated arteriovenous fistula (AVF) outcomes and the association of eBFR with all-cause mortality and new major adverse cardiovascular events (MACE). Mean ± SD and median time-averaged eBFR values were 276 ± 24 and 275 mL/min, respectively. After adjusting for relevant factors including age, sex, vintage, diabetes, CVD, receiving hemodiafiltration (HDF) treatment and spKt/V, Cox models indicated a low time-averaged eBFR (≤ 275 ml/min) was associated with increased risks of all-cause mortality (hazard ratio [HR] 14.18; 95% confidence interval [CI], 3.14–64.1) and new MACE (HR 3.76; 95% CI, 1.91–7.40) in MHD patients. Continuous Cox models demonstrated each 20 ml/min increase in eBFR linked to a 63% decrease in the risk of all-cause mortality (HR: 0.37, 95% CI: 0.23–0.59) and a 38% decrease in the occurrence of new MACE (HR: 0.62, 95% CI: 0.46–0.84). There was no significant difference in AVF outcomes between the two groups. Our study noted higher eBFR (>275 mL/min) is associated with lower risks of both all-cause mortality and new MACE compared with low eBFR (≤275 mL/min). Increased eBFR is not associated with a higher risk of AVF failure. [ABSTRACT FROM AUTHOR]

We aimed to compare the cardiovascular events and mortality in patients who underwent either physician-oriented or patient-oriented kidney replacement therapy (KRT) conversion due to discontinuation of peritoneal dialysis (PD). Patients with end-stage kidney disease who were receiving PD and required a switch to an alternative KRT were included. They were divided into physician-oriented group or patient-oriented group based on the decision-making process. Logistic regression analysis was used to explore the influencing factors related to KRT conversion in PD patients. The association of physician-oriented or patient-oriented KRT conversion with outcomes after the conversion was assessed by using Cox proportional hazards models. A total of 257 PD patients were included in the study. The median age at catheterization was 35 years. 69.6% of the participants were male. The median duration of PD was 20 months. 162 participants had patient-oriented KRT conversion, while 95 had physician-oriented KRT conversion. Younger patients, those with higher education levels, higher income, and no diabetes were more likely to have patient-oriented KRT conversion. Over a median follow-up of 39 months, 40 patients experienced cardiovascular events and 16 patients died. Physician-oriented KRT conversion increased nearly 3.8-fold and 4.0-fold risk of cardiovascular events and death, respectively. After adjusting for confounders, physician-oriented KRT conversion remained about a 3-fold risk of cardiovascular events. Compared to patient-oriented KRT conversion, PD patients who underwent physician-oriented conversion had higher risks of cardiovascular events and all-cause mortality. Factors included age at catheterization, education level, annual household income, and history of diabetes mellitus. [ABSTRACT FROM AUTHOR]

The study presented here aimed to establish a predictive model for heart failure (HF) and all-cause mortality in peritoneal dialysis (PD) patients with machine learning (ML) algorithm. We retrospectively included 1006 patients who initiated PD from 2010 to 2016. XGBoost, random forest (RF), and AdaBoost were used to train models for assessing risk for 1-year and 5-year HF hospitalization and mortality. The performance was validated using fivefold cross-validation. The optimal ML algorithm was used to construct the models to predictive the risk of the HF and all-cause mortality. The prediction performance of ML methods and Cox regression was compared. Over a median follow-up of 49 months. Two hundred and ninety-eight patients developed HF required hospitalization; 199 patients died during the follow-up. The RF model (AUC = 0.853) was the best performing model for predicting HF, and the XGBoost model (AUC = 0.871) was the best model for predicting mortality. Baseline moderate or severe renal disease, systolic blood pressure (SBP), body mass index (BMI), age, Charlson Comorbidity Index (CCI) score were strongly associated with HF hospitalization, whereas age, CCI score, creatinine, age, high-density lipoprotein cholesterol (HDL-C), total cholesterol, baseline estimated glomerular filtration rate (eGFR) were the most significant predictors of mortality. For all the above endpoints, the ML models demonstrated better discrimination than Cox regression. We developed and validated a novel method to predict the risk factors of HF and all-cause mortality that integrates readily available clinical, laboratory, and electrocardiographic variables to predict the risk of HF among PD patients. [ABSTRACT FROM AUTHOR]

The mortality risk varies considerably among individual dialysis patients. This study aimed to develop a user-friendly predictive model for predicting all-cause mortality among dialysis patients. Retrospective data regarding dialysis patients were obtained from two hospitals. Patients in training cohort (N = 1421) were recruited from the Fifth Affiliated Hospital of Sun Yat-sen University, and patients in external validation cohort (N = 429) were recruited from the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine. The follow-up endpoint event was all-cause death. Variables were selected by LASSO-Cox regression, and the model was constructed by Cox regression, which was presented in the form of nomogram and web-based tool. The discrimination and accuracy of the prediction model were assessed using C-indexes and calibration curves, while the clinical value was assessed by decision curve analysis (DCA). The best predictors of 1-, 3-, and 5-year all-cause mortality contained nine independent factors, including age, body mass index (BMI), diabetes mellitus (DM), cardiovascular disease (CVD), cancer, urine volume, hemoglobin (HGB), albumin (ALB), and pleural effusion (PE). The 1-, 3-, and 5-year C-indexes in the training set (0.840, 0.866, and 0.846, respectively) and validation set (0.746, 0.783, and 0.741, respectively) were consistent with comparable performance. According to the calibration curve, the nomogram predicted survival accurately matched the actual survival rate. The DCA showed the nomogram got more clinical net benefit in both the training and validation sets. The effective and convenient nomogram may help clinicians quantify the risk of mortality in maintenance dialysis patients. [ABSTRACT FROM AUTHOR]

Plasma volume (PV) calculated from hematocrit and body weight has applications in cardiovascular disease. The current study investigated the validity of the calculated PV for predicting volume overload and its prognostic utility in patients undergoing hemodialysis (HD). Fifty-four HD patients were prospectively enrolled, and their actual PV (aPV) and relative PV status (PVS) were calculated. Bioelectrical impedance analysis (BIA) with assessment of and total body water (TBW), intracellular water (ICW), extracellular water (ECW), and overhydration (OH) and routine blood examinations were performed before dialysis. A second cohort of 164 HD patients was retrospectively enrolled to evaluate the relationship between the calculated PVS and the outcome, with an endpoint of all-cause mortality. aPV was significantly associated with TBW, ICW, ECW, OH, and ECW/TBW (all p < 0.001), and most strongly with ECW (r = 0.83). aPV predicted the extent of volume overload with an AUC of 0.770 (p < 0.001), but PVS did not (AUC = 0.617, p = 0.091). Median follow-up time was 53 months, during the course of which 60 (36.58%) patients died. Values for PVS (12.94 ± 10.87% vs. 7.45 ± 5.90%, p = 0.024) and time-averaged PVS (12.83 ± 11.20 vs. 6.78 ± 6.22%, p < 0.001) were significantly increased in patients who died relative to those who survived. A value of time-averaged PVS >8.72% was significantly associated with an increased incidence of all-cause mortality (HR = 2.48, p = 0.0023). aPV was most strongly associated with ECW measured using BIA. HD patients with higher time-averaged PVS had a higher rate of all-cause mortality. [ABSTRACT FROM AUTHOR]

Cardiovascular disease (CVD) is a major complication in peritoneal dialysis (PD) patients. Previous studies have demonstrated that platelet distribution width (PDW) is associated with cardiovascular events in hemodialysis (HD) patients. In this study, we hypothesized that elevated PDW can predict all-cause and cardiovascular mortality in PD patients. We recruited PD patients for a single-center retrospective cohort study from 1 January 2007, to 30 June 2020. Receiver-operating characteristic (ROC) curves were made to determine the PDW cutoff value for predicting all-cause mortality. The propensity score matching (PSM) method was used to improve the equilibrium between groups. The relation of PDW with all-cause and cardiovascular mortality was analyzed by Cox proportional hazards models. Restricted cubic spline (RCS) models were used to determine whether there was a linear relationship between PDW and all-cause and cardiovascular mortality. A total of 720 PD patients were screened, and 426 PD patients were enrolled after PSM. After adjusting for confounders, Cox proportional hazards models showed that the PDW value was positively correlated with the risk of all-cause and cardiovascular mortality (HR = 1.162, 95% CI 1.057–1.278, p = 0.002 and HR = 1.200, 95% CI 1.041–1.382, p = 0.012). The adjusted RCS analysis further showed that the relationship of PDW with all-cause and cardiovascular mortality was linear (p for nonlinearly = 0.143 and 0.062). Elevated PDW is independently associated with all-cause and cardiovascular mortality in PD patients. [ABSTRACT FROM AUTHOR]

Arteriovenous fistula (AVF) dysfunction is a common complication in patients undergoing maintenance hemodialysis (MHD). Elevated serum levels of fibroblast growth factor 21 (FGF21) are associated with atherosclerosis and cardiovascular mortality. However, its association with vascular access outcomes remains elusive. The present study evaluated the relationship of serum FGF21 levels with AVF dysfunction and all-cause mortality in patients undergoing MHD. We included patients undergoing MHD using AVF from January 2018 to December 2019. FGF21 concentration was detected using enzyme-linked immunosorbent assay. Patients were followed up to record two clinical outcomes, AVF functional patency loss and all-cause mortality. The follow-up period ended on April 30, 2022. Among 147 patients, the mean age was 58.49 ± 14.41 years, and the median serum level of FGF21 was 150.15 (70.57–318.01) pg/mL. During the median follow-up period of 40.83 months, the serum level of FGF21 was an independent risk factor for AVF functional patency loss (per 1 pg/mL increase, HR 1.002 [95% CI: 1.001–1.003, p = 0.003]). Patients with higher serum levels of FGF21 were more likely to suffer from all-cause mortality (per 1 pg/mL increase, HR 1.002 [95% CI: 1.000–1.003, p = 0.014]). The optimal cutoffs for FGF21 to predict AVF functional patency loss and all-cause mortality in patients undergoing MHD were 149.98 pg/mL and 146.43 pg/mL, with AUCs of 0.701 (95% CI: 0.606–0.796, p < 0.001) and 0.677 (95% CI: 0.595–0.752, p = 0.002), respectively. Serum FGF21 levels were an independent risk factor and predictor for AVF functional patency loss and all-cause mortality in patients undergoing MHD. [ABSTRACT FROM AUTHOR]

Intradialytic hypotension (IDH) is a common complication of hemodialysis (HD), but there is no consensus on its definition. In 2015, Flythe proposed a definition of IDH (Definition 1 in this study): nadir systolic blood pressure (SBP) <90 mmHg during hemodialysis for patients with pre-dialysis SBP <159 mmHg, and nadir SBP <100 mmHg during hemodialysis for patients with pre-dialysis SBP ≥160 mmHg. This prospective observational cohort study investigated the association of frequent IDH based on Definition 1 with clinical outcomes and compared Definition 1 with a commonly used definition (nadir SBP <90 mmHg during hemodialysis, Definition 2). The incidence of IDH was observed over a 3-month exposure assessment period. Patients with IDH events ≥30% were classified as 'frequent IDH'; the others were 'infrequent IDH'. All-cause mortality, cardiovascular mortality, and all-cause hospitalization events were followed up for 36 months. This study enrolled 163 HD patients. The incidence of IDH was 11.1% according to Definition 1 and 10.5% according to Definition 2. The Kaplan-Meier curves showed that frequent IDH patients had higher risks of all-cause mortality (p = 0.009, Definition 1; p = 0.002, Definition 2) and cardiovascular mortality (p = 0.021, Definition 1). Multivariable Cox regression analysis indicated that frequent IDH was independently associated with a higher risk of all-cause mortality (Model 1: HR = 2.553, 95%CI 1.334–4.886, p = 0.005; Model 2: HR = 2.406, 95%CI 1.253–4.621, p = 0.008). In conclusion, HD patients classified as frequent IDH are at a greater risk of all-cause mortality. This highlights the significance of acknowledging and proactively managing frequent IDH within the HD patients. [ABSTRACT FROM AUTHOR]

In 2019, the EAT-Lancet Commission promoted a plant-based diet, emphasizing its potential to enhance human health and environmental sustainability. Nevertheless, a thorough evaluation of health benefits associated with EAT-Lancet diet requires robust statistical backing. This synthesis seeks to compile evidence related to the effects of the EAT-Lancet diet on major cardiovascular disease (CVD) and mortality. A systematic review and meta-analysis were conducted utilizing data from MEDLINE, EMBASE, PubMed, Web of Science, and medRxiv, covering the period from January 2019 to October 8, 2024. We included all cohort and case–control studies that investigated the association between the emerging EAT-Lancet diet and outcomes such as diabetes, CVD, all-cause mortality, and cancer. Summary effect size estimates are presented as hazard ratios (HRs) and were analyzed using random-effects models. Study heterogeneity was assessed with the Q statistic and I2 statistic. Subgroup analyses were performed to identify potential sources of variability, while publication bias was evaluated using Begg's and Egger's tests. Additionally, sensitivity analyses were conducted to assess the robustness of the results. We identified 28 publications that included a total of over 2.21 million participants. Adhering to the EAT-Lancet dietary patterns was negatively associated with diabetes, CVD (mortality), all-cause mortality, and cancer (mortality), with HRs of 0.78 (95 % CI: 0.65–0.92), 0.84 (95 % CI: 0.81–0.87), 0.83 (95 % CI: 0.78–0.89), and 0.86 (95 % CI: 0.80–0.92), respectively. Significant heterogeneity was observed for diabetes (I2 = 94.0 %), all-cause mortality (I2 = 85.5 %), and cancer incidence (I2 = 79.3 %). Importantly, no evidence of publication bias was found for any of the clinical outcomes analyzed. Sensitivity analyses confirmed the robustness of the results across various dietary scoring systems for CVD mortality, all-cause mortality, and cancer. Following the EAT-Lancet diet was significantly associated with reduced odds of diabetes, CVD, cancer and mortality. These findings are clinically important, highlighting the beneficial effects of the recent EAT-Lancet diet on various health outcomes. [ABSTRACT FROM AUTHOR]

Aims: This study aimed to investigate the relationship between the triglyceride glucose (TyG) index and all‐cause mortality in patients with heart failure (HF). Methods and Results: A total of 1274 patients with HF diagnosed at Hebei General Hospital were enrolled in this study. The patients were divided into four groups by quartiles based on the TyG index. The endpoint was all‐cause mortality during the follow‐up period. The median follow‐up period was 1079 days, with a total of 543 (42.7%) patients experiencing all‐cause mortality. The survival curves showed no significant difference in endpoint events among the four groups (log‐rank P = 0.329). The adjusted survival curves revealed that after adjusting for the variables in Model 3, the group with a higher TyG index exhibited a higher risk of death (log‐rank P < 0.001). The multivariate‐adjusted Cox proportional hazard models revealed a positive correlation between the TyG index and all‐cause mortality. After complete adjustment, patients with the highest TyG index exhibited a higher risk of all‐cause mortality than those in the lowest quartile [hazard ratio (HR) = 1.6, 95% confidence interval (CI): 1.22–2.09; P = 0.001]. Restricted cubic spline analysis showed that the risk of all‐cause mortality increased linearly with the TyG index (P for non‐linear = 0.207). Exploratory subgroup analyses revealed that, as a continuous variable, the TyG index was significantly associated with all‐cause mortality in female patients (HR = 1.31, 95% CI: 1.08–1.58, P = 0.029) and older patients (HR = 1.25, 95% CI: 1.1–1.43, P = 0.027). Conclusions: The TyG index was positively associated with increased all‐cause mortality in hospitalized patients with HF. Subgroup analyses indicated that the TyG index was strongly associated with all‐cause mortality in older and female patients. [ABSTRACT FROM AUTHOR]

Objective: To assess the association between obstructive sleep apnoea (OSA) and postoperative complications in patients after coronary artery bypass graft (CABG). Methods: PubMed, Embase, Web of Science and Scopus databases were explored to identify relevant observational studies that reported incidences of OSA in CABG patients, and assessed OSA using standard objective methods such as polysomnography (PSG). The primary outcomes of interest were risk of major adverse cardiac and cerebrovascular events (MACCE) and all-cause mortality. Pooled effect sizes were reported as odds ratio (OR) with 95% confidence intervals. Results: Twelve studies were included. All studies, except one, had a prospective cohort design. CABG patients with OSA had increased risk of MACCE (OR 1.71, 95% CI: 1.16, 2.53), myocardial infarction (MI) (OR 2.21, 95% CI: 1.19, 4.13), pulmonary complications (OR 1.86, 95% CI: 1.03, 3.38), renal complications (OR 8.14, 95% CI: 2.07, 32.1), heart failure (OR 1.86, 95% CI: 1.19, 2.89) and need for revascularization (OR 2.80, 95% CI: 1.01, 7.75). However, risk of all-cause mortality (OR 1.63, 95% CI: 0.75, 3.52) was comparable in all patients. Conclusion: This study showed that OSA significantly correlates with the increased risk of major adverse events. Our results indicate that recognizing and managing OSA in CABG patients is crucial for mitigating associated risks. [ABSTRACT FROM AUTHOR]

Context Both physical activity (PA) and sedentary behavior (SB) exert an important impact on type 2 diabetes, but it remains unclear regarding how the maximum impact on improving mortality by an optimized proportion of the two lifestyles can be achieved. Objective To explore the impacts of PA/SB combinations on mortality in patients with diabetes. Methods Patients with type 2 diabetes samplings were collected from the National Health and Nutrition Examination Survey dataset. Their lifestyles were categorized into 8 groups based on combinations of the PA and SB levels. Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals. Results During the follow-up period, 1148 deaths (18.94%) were recorded. High SB (sedentary time ≥6 hours/day) was significantly associated with higher all-cause mortality [hazards ratio (HR) 1.65]. In participants with low SB (<6 hours/day), low PA was associated with lower all-cause mortality (HR 0.43), while a further increase of PA level did not show further reductions in either all-cause or cardiovascular mortality. In contrast, in participants with high SB, all levels of PA were associated with lower all-cause mortality (P <.05), but only moderate PA was associated with lower cardiovascular mortality (HR 0.30). Conclusion In patients with type 2 diabetes, different combinations of various levels of PA and SB are associated with different degrees of risk for all-cause or cardiovascular mortality. [ABSTRACT FROM AUTHOR]

Context Neurofilament light chains (sNFLs) increase in patients with diabetes (DM) and are associated with death. Objective This work aimed to examine whether sNFL mediates associations of DM with all-cause mortality and the extent of interaction or joint relations of sNFL and DM with mortality. Methods This population-based cohort study was conducted using the 2013 to 2014 cycle of the National Health and Nutrition Examination Survey. A total of 2071 adults aged 20 to 75 years with sNFL measurements were included. sNFL was lg-transformed (LgNfl). Participants were included whose LgNfl was higher than 1.48 pg/mL or who were diagnosed with DM. All-cause mortality was the primary outcome obtained through linkage to registries. Results During a median follow-up of 6.1years, 85 participants died. Incidence rates (per 1000 person-years [95% CI]) of all-cause mortality were 27.78 (19.98∼35.58) in adults with LgNfl greater than 1.48 pg/mL and DM, 9.01 (1.99∼16.03) in adults with LgNfl greater than 1.48 pg/mL but no DM, 3.07 (1.01∼5.13) in adults with DM and LgNfl less than or equal to 1.48 pg/mL, and 2.21 (1.15∼3.27) in adults without DM and LgNfl less than or equal to 1.48 pg/mL. Significant interaction but not mediation was observed between LgNfl and DM. Compared with adults without DM and LgNfl less than or equal to 1.48 pg/mL, those with DM and LgNfl greater than 1.48 pg/mL had higher risks of all-cause mortality (hazard ratio; 95% CI, 7.06; 3.52∼14.16). Conclusion In general US adults with DM, elevated sNFLs were associated with higher all-cause mortality specifically, supporting an important role of sNFLs in predicting health outcome in individuals with DM. [ABSTRACT FROM AUTHOR]

Self-rated health (SRH) is a subjective indicator of overall health based on a single questionnaire item. Previous evidence found that it is a strong predictor of mortality, although the underlying mechanism is poorly understood. Epigenetic age is an objective, emerging biomarker of health, estimated using DNA methylation data at hundreds of sites across the genome. This study aimed to assess the overlap and interaction between SRH and epigenetic ageing in predicting mortality risk. We used DNA methylation data from 1059 participants in the Melbourne Collaborative Cohort Study (mean age: 69 years) to calculate three age-adjusted measures of epigenetic ageing: GrimAge, PhenoAge, and DunedinPACE. SRH was assessed using a five-category questionnaire item ("excellent, very good, good, fair, poor"). Cox models were used to assess the associations of SRH, epigenetic ageing, and their interaction, with all-cause mortality over up to 17 years of follow-up (Ndeaths = 345). The association of SRH with mortality per category increase was HR = 1.29; 95%CI: 1.14–1.46. The association was slightly attenuated after adjusting for all three epigenetic ageing measures (HR = 1.25, 95%CI: 1.10–1.41). A strong gradient was observed in the association of GrimAge (Pinteraction = 0.006) and DunedinPACE (Pinteraction = 0.002) with mortality across worsening SRH strata. For example, the association between DunedinPACE and mortality in participants with "excellent" SRH was HR = 1.02, 95%CI: 0.73–1.43 and for "fair/poor" HR = 1.72, 95%CI: 1.35–2.20. SRH and epigenetic ageing were synergistic risk factors of mortality in our study. These findings suggest that consideration of subjective and objective factors may improve general health assessment, which has implications for the ongoing development of molecular markers of ageing. [ABSTRACT FROM AUTHOR]

The Advanced Lung Cancer Inflammation Index (ALI) represents both the inflammatory and nutritional status of the host, but its link with mortality in asthma patients is uncertain. The purpose of this study was to look at the relationship between ALI levels and all-cause and respiratory disease mortality in asthmatic patients. We conducted our research using cohort data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. The National Death Index was used to calculate mortality until December 31, 2019. The study employed multivariate logistic regression to look into the relationship between ALI levels and asthma prevalence. Weighted Kaplan–Meier and multivariate-adjusted Cox analyses were utilized for investigating the relationship between ALI levels and all-cause and respiratory disease mortality in individuals with asthma. A restricted cubic spline (RCS) analysis was used to assess their nonlinear relationship. Subgroup and sensitivity analyses were also performed to evaluate the robustness of the results that were obtained. We enrolled 40,497 people in our study, and 5,469 of them had asthma, representing a 14% prevalence. A median follow-up of 11.19 (9.38, 14.29) years revealed 109 fatalities from respiratory diseases and 724 deaths from all causes. After correcting for several covariates, there was no longer any link (P-trend = 0.2) between ALI levels and the prevalence of asthma. When compared to the lowest quartile, the highest quartile of ALI levels was substantially linked to a lower risk of mortality from respiratory diseases and all causes (all P-trend < 0.001). In the RCS regression model, the relationship between ALI level and both all-cause and respiratory disease mortality in asthmatic participants was nonlinear, with P for nonlinearity of 0.006 and 0.015, respectively. We also discovered that the probability of mortality from respiratory disease decreased progressively to a nadir at an ALI level of 109.13 and then increased as the ALI level increased. Multiple subgroup and sensitivity analyses revealed that ALI was consistently related to lower all-cause and respiratory disease mortality in asthma patients. Our findings suggest that ALI is associated with a reduced risk of all-cause and respiratory disease mortality in asthma patients. [ABSTRACT FROM AUTHOR]

Background: Current guidelines recommend maintaining a resting heart rate below 100–110 beats per minute (bpm) for patients with atrial fibrillation (AF). However, there is a lack of research on various treatment approaches for patients with both atrial fibrillation and coronary heart disease (AF&CHD). We have discussed the primary therapeutic options for controlling resting heart rate in patients with AF&CHD. Methods: We conducted a post hoc analysis of the AFFIRM (Atrial Fibrillation Follow-up Investigation of Rhythm Management) trial. Our study included 3986(98.2%) participants with AF, of which 1522 had AF&CHD. The primary outcome was all-cause mortality. We utilized the chi-squared test to identify significant differences in categorical variables. Multivariate Cox regression analysis was performed to compare the risk of death by standard deviation of heart rate visit to visit variability quartile. Results: Compared to the AF group, a higher proportion of patients in the AF&CHD group had histories of smoking, hypertension, diabetes, heart failure, cardiomyopathy, valvular heart disease, peripheral vascular disease, bradycardia, hepatic or renal disease, pulmonary disease, and stroke (all P < 0.001). Additionally, patients with AF&CHD were more likely to undergo coronary artery bypass grafting (CABG) and pacemaker surgeries than those with AF alone. After adjusting for multiple clinical variables, patients with AF&CHD had a significantly higher risk of all-cause mortality compared to the AF group (RR = 1.79, 95% CI: 1.49–2.60; P < 0.01). Nonlinear multivariate curve-fitting analysis identified an optimal resting heart rate of 70 bpm for patients with AF&CHD (P < 0.001). Subgroup analysis revealed that patients with a resting heart rate below 70 bpm had lower all-cause mortality than those with a resting heart rate above 70 bpm (P < 0.001). Conclusions: For resting heart rates below 70 bpm, our results suggest an inverse causal relationship between genetically determined resting heart rate and all-cause mortality in patients with AF&CHD. Clinical trial number: Not applicable. [ABSTRACT FROM AUTHOR]

In this study we examined the effect of simultaneously elevated levels of parathyroid hormone (PTH) (≥ 65 ng/mL) and high levels of insulin-like growth factor-binding protein 1 (IGFBP-1) on the 10-year risk of all-cause mortality and hip fractures. Blood tests for levels of PTH and IGFBP-1 was collected at baseline in 338 community-dwelling women in Stockholm aged between 69 and 79 years. Data on hip fractures and all-cause mortality over the next 10 years were retrieved from healthcare registers. The participants were divided into four groups depending on their levels of PTH and IGFBP-1: (A) normal PTH and low IGFBP-1; (B) normal PTH and high IGFBP-1; (C) elevated PTH and low IGFBP-1; (D) elevated PTH and high IGFBP-1. Group D was used as reference. Cox proportional hazard regression (HR) model was used to compare age-adjusted association with hip fractures and all-cause mortality of the four groups. The group with elevated levels of PTH and high IGFBP-1 had a two to three times higher risk of all-cause mortality compared to the other groups but we found no association with hip fractures. [ABSTRACT FROM AUTHOR]

Background: The prognostic nutritional index (PNI) is a comprehensive measure of individual immune and nutritional status. This study aimed to evaluate the role of PNI in the presence and mortality of rheumatoid arthritis (RA). Methods: This study used data of participants aged ≥ 40 years from the National Health and Nutrition Examination Survey (NHANES) 2003–2018. PNI was calculated using serum albumin and lymphocyte count. The relationship between PNI and the prevalence of RA and mortality among RA patients was assessed using logistic and Cox regression models. Nonlinear associations were explored using restricted cubic splines (RCS). Results: Of 18,245 participants (mean 55.4 years, 49% female), 1901 had RA, among whom (480/1899, 25%) died during a median follow-up period of 84 months. PNI was inversely associated with the likelihood of having RA (odds ratio = 0.97, 95% confidence interval [CI]: 0.95–0.98). Compared to participants whose PNI was in the lowest quartile, those in other quartiles had a reduced likelihood of having RA by 21-38% (Ptrend <0.01). Cox regression analysis revealed an inverse association between PNI and all-cause mortality (hazard ratio = 0.95, 95%CI: 0.91–0.99). An L-shaped association was observed between PNI and the presence and all-cause mortality of RA, with turning points occurring around the mean value of PNI. The presence and all-cause mortality of RA was significantly reduced before the turning points of PNI and plateaued afterwards. Conclusion: In middle-aged and older adults, there is an inverse association between PNI and the presence and all-cause mortality of RA. [ABSTRACT FROM AUTHOR]

Background: This study investigated the correlation between the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI) and all-cause, cardiovascular, and kidney disease mortality in patients with diabetic nephropathy (DN). It aimed to provide a new predictive assessment tool for the clinic and a scientific basis for managing inflammation in DN. Methods: The data utilized in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, spanning 1999 to 2018. A total of 2641 patients diagnosed with DN were included in the analysis. The association between SII and SIRI levels and mortality in patients with DN was investigated using multivariate Cox proportional risk regression models. These relationships were further validated by Kaplan-Meier survival curves and restricted cubic spline (RCS) modeling, and subgroup analyses were performed to explore the heterogeneity among different characteristic subgroups. Results: The multivariate Cox regression analysis indicated that SII and SIRI levels were independently associated with all-cause mortality and cardiovascular mortality in patients with DN. SIRI levels were found to be an independently associated factor with kidney disease mortality in patients with DN. Patients in the highest quartile of SII and SIRI exhibited a 1.49-fold and 1.62-fold increased risk of all-cause mortality, respectively, compared to patients in the lowest quartile. The risk of cardiovascular mortality was 1.31 and 1.73 times higher than that in patients in the lowest quartile, respectively. The risk of kidney disease mortality in patients in the highest quartile of SIRI was 2.74 times higher than that in patients in the lowest quartile. Kaplan-Meier survival curve and RCS analyses further confirmed the positive association between SII and SIRI and mortality and a significant nonlinear relationship between SII and all-cause mortality. The SII and SIRI indices offer incremental value in model predictive power for mortality in patients with DN. Subgroup analyses demonstrated that the correlation between SII and SIRI and mortality risk was stable but heterogeneous across different subgroups. Conclusion: SII and SIRI can be utilized as biomarkers for forecasting the likelihood of all-cause and cardiovascular mortality in patients with DN. [ABSTRACT FROM AUTHOR]

Background/Objectives Methods Results Conclusion Leisure activities provide various health benefits for older adults. However, few studies have examined changes in leisure activities and health. This study aimed to determine the association among changes in leisure activities, subsequent all‐cause mortality, and functional disability.Using a longitudinal, prospective cohort design, we analyzed data from the Japan Gerontological Evaluation Study (JAGES) in 2010 and 2013 merged with government data on death and long‐term care needs by 2020. Changes in leisure activity were defined as four‐category exposure based on a question about leisure activities: those with leisure activities in both 2010 and 2013, those who started leisure activities in 2013, those without leisure activities in both 2010 and 2013 (reference group), and those who stopped leisure activities in 2013. All‐cause mortality and functional disability were defined as onset during the 6‐year follow‐up from the 2013 survey. We applied the inverse probability of censoring and treatment‐weighted methods for analyses using Cox proportional hazards models, where missingness was addressed using multiple imputation.The study included 38,125 participants with a mean age of 72.8 ± 5.5 years at baseline, and 46.9% were male. Among those without leisure activities between 2010 and 2013 and those who started leisure activities in 2013, mortality rates by 2020 were 28.6% and 21.1%, and functional disability rates were 24.6% and 18.1%, respectively; and in analyses with the inverse probability of censoring and treatment‐weighted methods, the hazard ratio for mortality was 0.82 (95% confidence interval (CI), 0.75–0.90) and 0.89 (95% CI, 0.79–1.01) for functional disability, respectively.Initiation of leisure activities among the older adults was associated with a lower risk of mortality and functional disability over the subsequent 6 years compared to older adults who did not report initiating any leisure activities. [ABSTRACT FROM AUTHOR]

The main purpose of this study was to construct two nomograms to predict all-cause mortality (ACM) and cause-specific mortality (CSM) in non-muscle-invasive bladder cancer (NMIBC) patients after transurethral resection of bladder tumors (TURBTs). We selected NMIBC patients who underwent TURBT between 2004 and 2017 from the Surveillance, Epidemiology, and End Results database. The patients were randomly divided into a training set and a validation set at a ratio of 7:3. The independent influencing factors of ACM and CSM in the training set were determined by univariate and multivariate Cox regression analyses. We then integrated those independent influencing factors to construct nomograms. These prediction nomograms were further verified in the validation set. The C-index, calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) curve were used to evaluate the identification, calibration, predictive ability and clinical effectiveness of the nomograms. A total of 28,086 cases were ultimately included in this study, which were divided into a training set (19,661 individuals) and a validation set (8425 individuals). Nine variables, including age at diagnosis, race, marital status, tumor grade, T stage, tumor size, number of tumors, and primary site, were obtained via multivariate Cox regression of the training set and used to construct two nomograms prediction model. The C-index values for the ACM nomogram were 0.743 and 0.741 for the training and validation sets, respectively. Moreover, the corresponding values of the C-index for the CSM nomogram were 0.785 and 0.786, respectively. The ROC curves, calibration curves, and DCA curves showed good predictive performance. The nomograms can assist clinicians in identifying high-risk populations and devising more individualized treatment strategies for NMIBC patients. [ABSTRACT FROM AUTHOR]

Background: Numerous studies indicate that visceral adipose tissue (VAT) significantly contribute to metabolic syndrome (MetS) development. This study aims to assess the distinguishing value of novel obesity markers, specifically lipid accumulation products (LAP) and cardiometabolic index (CMI), in relation to MetS. Considering the gender disparity in MetS prevalence, it is essential to explore whether LAP and CMI exhibit differential distinguishing capabilities by gender. Method: The investigation included a total of 11,687 qualified individuals who participated in the NHANES survey spanning a 14-year period from 2005 to 2018. Biochemical analysis of blood and body measurements were utilized to determine LAP and CMI values for each participant. Inclusion of gender as a variable was a key factor in the examination of all data. Restricted cube plots (RCS) were utilized to analyze the strength of the relationship between LAP, CMI, and MetS. The study delved into potential connections between LAP and CMI with MetS, all-cause and cardiovascular mortality using various statistical models such as multivariate logistic regression and Cox regression. Results: The findings revealed a significant nonlinear association between CMI, LAP, and MetS (P-non-linear < 0.001), irrespective of gender, with all models exhibiting a J-shaped trend. The multivariable logistic regression analysis considered both LAP and CMI as continuous variables or tertiles, revealing significant associations with MetS in male, female, and general populations (All the P < 0.001). Although males displayed a higher risk of MetS, no gender differences were observed in the area under the curve (AUC) values of LAP and CMI for distinguishing (P > 0.005) MetS. Impressively, LAP and CMI were identified as the primary predictors of MetS in both genders from AUC (P < 0.005). More specifically, the cutoff points for distinguishing MetS in females were LAP = 49.87 or CMI = 0.56, while for males, they were LAP = 52.76 or CMI = 0.70. Additionally, the Cox regression analysis revealed that LAP and CMI were correlated with all-cause mortality in both general population and females (P < 0.005), but not in males. Conclusion: In comparison to other measures of obesity, LAP and CMI demonstrated superior diagnostic accuracy for MetS in both males and females. Additionally, LAP and CMI were found to be predictive of all-cause mortality in both general population and females. These markers are cost-effective, easily accessible, and widely applicable for the early identification and screening of MetS in clinical settings. [ABSTRACT FROM AUTHOR]

Background: Obesity is becoming more widely acknowledged as a chronic illness that raises the risk of oncogenesis. This inquiry aimed to look into the correlation between cancer patient mortality and obesity, as measured by the weight-adjusted waist index (WWI). Methods: We used continuous data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 as the benchmark, with a follow-up validity period of December 31, 2019. First, we assessed the correlation between WWI and the all-cause and cause-specific execution of cancer sufferers using multivariable Cox proportional hazards models. Second, a smoothed curve fit was utilized to examine the relationship between WWI and both cause-specific and all-cause mortality in cancer patients. Lastly, we analyzed the relationship between WWI and both cause-specific and all-cause mortality in cancer patients, to find out if this link held across the population subgroup evaluation and impact analyses were used as well during the last step. Results: With a median follow-up of 87.8 months, 1,547 (34.7%) of the 4,463 cancer patients had deceased. Among them, 508 (11.4%) succumbed to cancer, while 322 (7.2%) passed away due to cardiovascular disease. Multivariate Cox proportional hazards model of mortality among cancer patients revealed an all-cause mortality hazard ratio [HR=1.13; 95% CI (1.04, 1.23)] and cardiovascular mortality [HR=1.39; 95% CI (1.16, 1.67)]. Furthermore, for each unit increase in WWI, all-cause mortality was significantly higher in male cancer survivors than in female cancer survivors. Conclusions: Our study reveals substantial correlations between WWI and all-cause and cardiovascular mortality in US cancer survivors, helping to identify cancer survivors at higher risk of death and thus potentially guiding targeted interventions. [ABSTRACT FROM AUTHOR]

Background: This study aims to assess which population groups experienced the heaviest mortality burden during the first three COVID-19 waves in Belgium; and investigate potential changes in social differences in all-cause mortality during the epidemic and compared to the pre-COVID period. Methods: Exhaustive all-cause mortality information (2015–2021) from the Belgian population register was linked to demographic and socioeconomic census and register data. Annual cohorts consisting of 6.5 million to 6.8 million persons were created selecting persons aged 35 and older. Excess mortality was investigated comparing the 137,354 deaths observed during the first three COVID-19 waves with mortality in the reference period 2015–2019. Methods of analysis include direct standardization and Poisson regression analyses. Results: Elderly men experienced the highest absolute mortality burden during all three COVID-waves, followed by elderly women, middle-aged men, and middle-aged women. Care home residents consistently experienced higher mortality rates during the first and second wave compared to peers living in other living arrangements. In wave 3, care home residents showed significant absolute mortality deficits compared to the reference period. When adjusting for all demographic and socioeconomic factors, the traditional pattern of educational and income mortality inequalities was found among the elderly population during the COVID-waves. In contrast, the educational mortality gap among middle-aged persons deepened during COVID-waves 2 and 3 with excess mortality between 19 and 30% observed among mainly lower-educated persons. Income mortality inequalities among middle-aged women and men remained stable or even diminished for some specific groups in some waves. Conclusion: The widening educational mortality gap among middle-aged persons in successive waves suggest an important role of knowledge and associated educational resources during the COVID-19 epidemic. Belgium's broad implementation of public health control and prevention measures may have successfully averted a further widening of social mortality inequality between income groups and among the elderly population. [ABSTRACT FROM AUTHOR]

Introduction and Objectives: Osteoporotic hip fractures in cirrhotic subjects are associated with increased post-fracture mortality. Our aim was to identify unfavorable factors that were associated with increased post-fracture mortality. Patients and Methods: We employed a retrospective evaluation of the short- and long-term prognosis of cirrhotic patients that were admitted with a hip fracture to our institution. Results: A total of 77 cirrhotic and 81 control patients were included. The majority of the patients who died either during the initial three months or during one year of follow-up after the hip fracture were cirrhotic. The patients that did not survive the three-month period suffered from decompensated cirrhosis. The variables that were associated upon multivariate analysis with increased one-year all-cause mortality in both the control and cirrhotic patients were the presence of either cirrhosis, congestive heart failure or low hemoglobin levels upon admission. The variables that were associated upon univariate analysis with increased one-year all-cause mortality only in the cirrhotic patients were the patient's age, the presence of hepatic encephalopathy, as well as the levels of serum albumin, PT (in %) and FIB-4. Our multivariate analysis disclosed that the admission level of PT (in %) was the only parameter that was associated with one-year all-cause mortality among the cirrhotic patients (adjusted OR 0.962, CI: 0.928–0.996, p = 0.029). Conclusions: Patients with decompensated cirrhosis are at an increased risk of dying during the first year after an osteoporotic hip fracture. Cirrhotic patients with osteoporosis who are at risk of hip fractures should be identified and measures to prevent this complication should be implemented. [ABSTRACT FROM AUTHOR]

Summary: Calcium intake is widely recommended, but its association with mortality remains unclear. This study indicated higher levels of calcium intake were associated with lower mortality in American adults. However, a nonlinear association between calcium intake and mortality suggested that excessive calcium intake beyond a certain threshold may increase mortality risk. Purpose: The study aimed to investigate the association of total, dietary, or supplemental calcium intake with all-cause, cardiovascular, and cancer mortality in American adults. Methods: This prospective cohort study used the National Health and Nutrition Examination Survey from 2005 to 2018. Participants were categorized into tertiles based on calcium intake. Risks of all-cause, cancer, or cardiovascular mortality and the dose–response relationship were estimated using weighted Cox proportional hazard regression and restricted cubic splines, with adjustments for demographic characteristics, comorbidities, laboratory parameters, and dietary data. Results: In total, 6172 participants were included (median age: 61 years), and 869 had died (CVD:217, cancer:224) during a median follow-up of 81 months. After adjusting for confounders, higher total calcium(≥ 1660mg/d) [HR, 95%CI: 0.867 (0.865–0.869)], dietary calcium(≥ 1075mg/d) [HR, 95%CI: 0.711 (0.709–0.713)], and supplemental calcium (≥ 600mg/d) [HR, 95%CI: 0.786 (0.784–0.787)] intake groups were associated with lower all-cause mortality risk compared to the lowest intake group. Similar beneficial associations were found for cardiovascular, cancer mortality, and across subgroups of various ages, genders, races and body mass indexes. In the dose–response analysis, a 'J-shaped' nonlinear relationship was observed between calcium intake and the risk of all-cause, cardiovascular, and cancer mortality. Conclusions: Higher levels of total, dietary, or supplemental calcium were associated with lower all-cause, cardiovascular, or cancer mortality. However, a nonlinear association between calcium intake and mortality suggested that excessive calcium intake beyond a certain threshold may increase mortality risk. [ABSTRACT FROM AUTHOR]

Background: The impact of baseline triglyceride-glucose (TyG) index and abnormal low or high-density lipoprotein cholesterol (LDL-C or HDL-C) levels on all-cause and cardiovascular disease (CVD) mortality remains unclear. This study aimed to investigate the relationship between TyG index and LDL-C or HDL-C and all-cause and CVD mortality. Methods: This retrospective cohort study analyzed data from health examinations of 69,068 older adults aged ≥60 in Xinzheng City, Henan Province, China, between January 2013 and January 2023. Cox proportional risk regression models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of the TyG index and LDL-C or HDL-C about all-cause and CVD mortality. Restricted cubic spline was used to assess the dose-response relationship. Results: During 400,094 person-years of follow-up (median follow-up 5.8 years [interquartile range 3.0-9.12]), 13,664 deaths were recorded, of which 7,045 were due to CVD. Compared with participants in the second quartile of the TyG index, participants in the fourth quartile had a 16% increased risk of all-cause mortality (HR: 1.16, 95% CI: 1.12,1.22), and an 8% increased risk of CVD mortality (HR: 1.08, 95% CI: 1.01,1.16). Similar results were observed in LDL-C and HDL-C, with all-cause and CVD mortality risks for participants in the fourth quartile compared with participants in the third quartile for LDL-C of (HR: 1.07, 95% CI: 1.02,1.12) and (HR: 1.09, 95% CI: 1.01,1.17), respectively. The risk of all-cause and CVD mortality in participants in the fourth quartile group compared with those in the second HDL-C quartile group was (HR: 1.10, 95% CI: 1.05,1.16) and (HR: 1.11, 95% CI: 1.04,1.18), respectively. We found that the TyG index was nonlinearly associated with all-cause and CVD mortality (P non-linear <0.05), and LDL-C was nonlinearly associated with all-cause mortality (P non-linear <0.05) but linearly associated with CVD mortality (P non-linear >0.05). HDL-C, on the other hand, was in contrast to LDL-C, which showed a non-linear association with CVD mortality. We did not observe a significant interaction between TyG index and LDL-C or HDL-C (P >0.05). Conclusion: TyG index and LDL-C or HDL-C increased the risk of all-cause and CVD mortality, especially a high TyG index combined with abnormal LDL-C. [ABSTRACT FROM AUTHOR]

Background: Previous studies have been limited by their inability to differentiate between the effects of insulin sensitivity and β-cell function on the risk of kidney function decline, cardiovascular disease (CVD), and all-cause mortality. To address this knowledge gap, we aimed to investigate whether the physiological subtypes based on homeostasis model assessment-2 (HOMA2) indices of β-cell function (HOMA2-B) and insulin sensitivity (HOMA2-S) could be used to identify individuals with subsequently high or low of clinical outcome risk. Methods: This retrospective cohort study included 7,317 participants with a follow-up of up to 5 years. Based on HOMA2 indices, participants were categorized into four physiologic subtypes: the normal phenotype (high insulin sensitivity and high β-cell function), the insulinopenic phenotype (high insulin sensitivity and low β-cell function), the hyperinsulinaemic phenotype (low insulin sensitivity and high β-cell function), and the classical phenotype (low insulin sensitivity and low β-cell function). The outcomes included kidney function decline, CVD events (fatal and nonfatal), and all-cause mortality. Cox regression models were used to calculate hazard ratios (HRs) for outcomes, and spline models were used to examine the dose-dependent associations of HOMA2-B and HOMA2-S with outcomes. Results: A total of 1,488 (20.3%) were classified as normal, 2,179 (29.8%) as insulinopenic, 2,173 (29.7%) as hyperinsulinemic, and 1,477 (20.2%) as classical subtypes. Compared with other physiological subtypes, the classical subtype presented the highest risk of kidney function decline (classical vs. normal HR 11.50, 95% CI 4.31–30.67). The hyperinsulinemic subtype had the highest risk of CVD and all-cause mortality (hyperinsulinemic vs. normal: fatal CVD, HR 6.56, 95% CI 3.09–13.92; all-cause mortality, HR 4.56, 95% CI 2.97–7.00). Spline analyses indicated the dose-dependent associations of HOMA2-B and HOMA2-S with outcomes. Conclusions: The classical subtype had the strongest correlation with the risk of kidney function decline, and the hyperinsulinemic subtype had the highest risk of CVD and all-cause mortality, which should be considered for interventions with precision medicine. [ABSTRACT FROM AUTHOR]

A correlation between omega-3 polyunsaturated fatty acids (omega-3 PUFAs) and osteoarthritis (OA) incidence has been established, but research on the long-term outlook of OA patients remains limited. This study investigates the association between omega-3 PUFA intake and the risk of all-cause and cardiovascular (CV) mortality in the U.S. OA population. A cohort of 3,467 OA patients from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 was studied. Cox proportional hazards regression models, Kaplan-Meier curves, and subgroup analyses were used to evaluate the relationship between omega-3 PUFA intake and mortality. The dose-response relationship was examined using a restricted cubic spline (RCS) model. Among the 3,467 OA patients, there were 459 all-cause deaths and 175 CV deaths. Omega-3 PUFAs were significantly negatively correlated with all-cause mortality (95% CI: 0.59–0.93, p = 0.011) but not with CV mortality (95% CI: 0.29–1.04, p = 0.056). Higher omega-3 PUFA intake was associated with a 49% decrease in all-cause mortality. Kaplan-Meier curves showed lower all-cause mortality rates in those with higher omega-3 PUFA intake. The inverse correlation was more pronounced among individuals living with a partner. The dose-response analysis indicated a linear negative relationship between omega-3 PUFA intake and all-cause mortality. Increased intake of omega-3 PUFAs is associated with a decreased risk of all-cause mortality in OA patients. [ABSTRACT FROM AUTHOR]

Patients with diabetes are susceptible to acute kidney injury (AKI) as compared to counterparts without diabetes. However, data on the long-term clinical outcome of AKI specifically in people with diabetes are still scarce. We sought to study risk factors for and adverse cardio-renal outcomes of AKI in multi-ethnic Southeast Asian people with type 2 diabetes. 1684 participants with type 2 diabetes from a regional hospital were followed an average of 4.2 (SD 2.0) years. Risks for end stage kidney disease (ESKD), major adverse cardiovascular events (MACE) and all-cause death after AKI were assessed by survival analyses. 219 participants experienced at least one AKI episode. Age, cardiovascular disease history, minor ethnicity, diuretics usage, HbA1c, baseline eGFR and albuminuria independently predicted risk for AKI with good discrimination. Compared to those without AKI, participants with any AKI episode had a significantly high risk for ESKD, MACE and all-cause death after adjustment for multiple risk factors including baseline eGFR and albuminuria. Even AKI defined by a mild serum creatinine elevation (0.3 mg/dL) was independently associated with a significantly high risk for premature death. Therefore, individuals with diabetes and any episode of AKI deserve intensive surveillance for cardio-renal dysfunction. [ABSTRACT FROM AUTHOR]

We estimated the association between combined exposure to air pollutants and the development of cardiometabolic multimorbidity (CM) and all-cause mortality. An air pollution score was calculated to determine the combined exposure to five air pollutants. CM was defined as the instance of at least two types of diseases. A genetic risk score (GRS) was calculated for each individual. A multistate regression model was used to investigate the effect of the combined associations of air pollutants on each stage of CM progression. After multivariable adjustment, the air pollution score was related with greater susceptibility of CM and all-cause mortality, and those with a high GRS for cardiovascular disease (CVD) or coronary heart disease (CHD) and a high air pollution score had a greater susceptibility of incident CM and all-cause mortality. The multistate model revealed that the greater air pollution score was connected with the susceptibility of progressing from disease-free baseline to having one cardiometabolic disease, and next to CM, and eventually to death. Combined exposure to five air pollutants were related with greater susceptibility of CM and all-cause mortality in a dose-dependent style and is related with the progression of CM and with all-cause mortality. [ABSTRACT FROM AUTHOR]

Objective Methods Results Conclusions The associations of lean mass distribution with mortality risk are not fully elucidated. We aimed to evaluate the effects of a new lean mass distribution indicator‐android/gynoid lean mass ratio (AGLR) evaluated by dual‐energy x‐ray absorptiometry (DXA) on the risk of all‐cause and specific‐cause mortality in a NHANES cohort.This was a population‐based cohort study, which included 18 542 subjects aged 20 years and older from the US National Health and Nutrition Examination Survey (US NHANES, 2003–2006 and 2011–2018). The primary outcomes of our study were all‐cause mortality, cardiovascular (CVD) mortality and cancer mortality, which were obtained from the linkage to registries. Cox proportional hazard regression models were used to investigate the association between lean mass distribution and mortality risk among the US NHANES general population. Restricted cubic spline nested in Cox regression was also used to test whether there was a non‐linear association of AGLR as a continuous variable with the risk of mortality.During a median follow‐up of 6.9 years, 1412 participants died, of whom 435 were due to CVD and 340 were due to cancer. The multivariable‐adjusted (Model 4) hazard ratios (HRs) for each SD increase in AGLR were 1.53 (95% confidence interval [CI] 1.40–1.67) for all‐cause mortality, 1.56 (95% CI 1.30–1.87) for cancer mortality and 1.64 (95% CI 1.47–1.84) for CVD mortality. The associations were robust in sensitivity analyses and present in most subgroups.AGLR evaluated by DXA was associated with a higher risk of all‐cause and specific‐cause mortality among the general population from the US NHANES cohort. [ABSTRACT FROM AUTHOR]

Background: Heart failure (HF) is a complex disorder that has an association with increased morbidity and mortality rates globally. The association of statin use with mortality rate in individuals with HF remains unclear. Objectives: To examine the association of statin use with the short-term and long-term all-cause mortality rate in critically ill individuals with HF. Methods: We performed a retrospective cohort analysis based on the Medical Information Mart for Intensive Care (MIMIC)-IV database. The critically ill people with HF were assigned to a statin group and a non-statin group according to whether they had been treated with statin or not during hospitalization. The Kaplan−Meier (KM) method and Cox proportional hazard models were adopted to explore the link between statin administration and the 30-day, 90-day, as well as 1-year mortality rates. To ensure the robustness of the findings, a 1:1 nearest propensity-score matching (PSM) was also performed. Results: The current research included 11,381 patients for the final analysis, with 7,561 in the statin group and 3,820 in the non-statin group. After multiple confounders were adjusted, we found that the Cox regression models revealed great beneficial effects of statin therapy on the 30-day, 90-day, as well as 1-year mortality rates among critically ill individuals with HF in the fully adjusted model. PSM also achieved consistent results. After PSM, the risk of mortality reduced by 23% for the 30-day mortality (HR = 0.77, 95%CI: 0.68–0.88, p < 0.001), 16% for the 90-day mortality rate (HR = 0.84, 95%CI: 0.75–0.93, p < 0.001), and 12% for the 1-year mortality rate (HR = 0.88, 95%CI: 0.81–0.97, p = 0.007). Patients treated with rosuvastatin had the greatest reduction in mortality rate. The 30-day, 90-day, and 1-year all-cause mortality rates were remarkably lower in patients who were treated with low-dose statins. Conclusion: Our study unveiled that statin use was related to decreased short-term and long-term all-cause mortality rates in critically ill individuals with HF. Rosuvastatin was associated with the greatest reduction of all-cause mortality rates. Low-dose statins can significantly reduce short-term and long-term mortality, while high-dose statins are not significantly correlated with mortality. However, the results are not conclusive and should be interpreted with caution. [ABSTRACT FROM AUTHOR]