Associations of neutrophil-percentage-to-albumin ratio level with all-cause mortality and cardiovascular disease-cause mortality among patients with hypertension: evidence from NHANES 1999-2010.

Background: The associations of neutrophil-percentage-to-albumin ratio (NPAR) level with all-cause and cardiovascular disease (CVD)-cause mortality among patients with hypertension remain unclear. This study aims to investigate the associations of NPAR level with all-cause and CVD-cause mortality among patients with hypertension. Methods: This prospective cohort study included 8,990 patients with hypertension who participated in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2010. Multivariable Cox proportional hazards regression models were used to compute hazard ratios and 95% CIs for the associations of NPAR level with all-cause mortality and CVD-cause mortality. Restricted cubic spline analyses were used to examine the nonlinear association of NPAR level with all-cause mortality and CVD-cause mortality. Results: This cohort study included data from 8,990 participants in analysis. During 104,474 person-years of follow-up, 3,069 all-cause deaths and 1,449 CVD-cause deaths were documented. Nonlinear associations were observed for NPAR levels with risk of all-cause mortality and CVD-cause mortality among patients with hypertension. Compared with participants in T1 of NPAR, there was a significantly increased risk of all-cause mortality and CVD-cause mortality for participants in both T2 and T3 in the fully adjusted model (model 3). The corresponding HRs for all-cause mortality were 1.10 (95% CI, 0.98-1.22) and 1.63 (95% CI, 1.45-1.82). The corresponding HRs for CVD-cause mortality were 1.10 (95% CI, 0.99-1.23) and 1.63 (95% CI, 1.46-1.81). Conclusions: Elevated NPAR level was significantly associated with an increased risk of all-cause and CVD-cause mortality in adults with hypertension. NPAR may be clinically useful for predicting long-term health outcomes and mortality in hypertensive population.

Association of Naples Prognostic Score and Lung Health: A Population-Based Study.

BACKGROUND: The Naples Prognostic Score (NPS) is a novel indicator of inflammatory and nutritional status, but its relationship to lung health is unknown. OBJECTIVE: To evaluate the relationship of NPS to lung health problems. METHODS: A total of 15,600 participants aged 20 years or older with an available assessment of chronic lung diseases were enrolled from the National Health and Nutrition Examination Survey 2007-2012. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Associations of NPS with chronic lung disease (diagnosed asthma, chronic bronchitis, and emphysema), respiratory symptoms (cough, phlegm production, wheeze, and exertional dyspnea), and spirometric measurements (FEV1, FVC, and obstructive or restrictive spirometry pattern) were evaluated. Kaplan-Meier survival analysis and multiple Cox regressions were used to assess the significance of NPS in relation to all-cause mortality and chronic lower respiratory diseases mortality in participants. Furthermore, to comprehensively assess the association between NSP and chronic lower respiratory diseases mortality, Fine-Gray subdistribution hazards model was performed to analyze non-chronic lower respiratory diseases mortality as a competitive risk. RESULTS: People with a higher NPS score were associated with greater odds of asthma, chronic bronchitis, respiratory symptoms (including phlegm production, wheeze, and exertional dyspnea), and a greater risk of obstructive and restrictive spirometry. A higher NPS score was significantly associated with decreased FEV1 and FVC in both overall participants and those with lung health problems. Longitudinally, we found that those in the category with highest NPS were at greater risk of all-cause mortality and chronic lower respiratory diseases mortality in those with chronic lung disease, and respiratory symptoms. CONCLUSIONS: An elevated NPS is associated with a host of adverse pulmonary outcomes. Prospective studies to define NPS as a biomarker for impaired lung health are warranted.

Long-Term Outcomes Associated With Permanent Pacemaker Implantation in Low-Risk Surgical Aortic Valve Replacement.

Background: Permanent pacemaker implantation is associated with an increased risk of mortality and heart failure after surgical aortic valve replacement (SAVR). Objectives: The purpose of this study was to analyze long-term prognosis of permanent pacemaker implantation following SAVR on low-risk patients. Methods: This nationwide, population-based, observational cohort study included all patients who underwent SAVR in Sweden between 2001 and 2018 with low surgical risk, defined as logistic EuroSCORE I <10% or EuroSCORE II <4%. Patients received a permanent pacemaker implantation within 30 days after SAVR. Main outcomes were all-cause mortality, heart failure hospitalization, and endocarditis. Regression standardization addressed confounding. Results: We included 19,576 patients with low surgical risk. Of these, 732 (3.7%) patients received a permanent pacemaker within 30 days after SAVR. The mean age was 68 years and 33% were women. We found no difference in all-cause mortality between patients who received a pacemaker compared to those who did not (absolute survival difference at 17 years: 0.1% (95% CI: -3.6% to 3.8%). After 17 years, the estimated cumulative incidence of heart failure in patients who received a pacemaker was 28% (95% CI: 24%-33%) vs 20% (95% CI: 19%-22%) in patients who did not (absolute difference 8.2% [95% CI: 3.8%-13%]). We found no difference in endocarditis between the groups. Conclusions: We found an increased incidence of heart failure in patients with low surgical risk who received a permanent pacemaker after SAVR. Permanent pacemaker implantation was not associated with all-cause mortality or endocarditis. Efforts should be made to avoid the need for permanent pacemaker following SAVR.

Remnant cholesterol and all-cause mortality risk: findings from the National Health and Nutrition Examination Survey, 2003-2015.

Aims: Cholesterol carried in triglyceride-rich lipoproteins, also called remnant cholesterol, is increasingly acknowledged as an important causal risk factor for atherosclerosis. Elevated remnant cholesterol, marked by elevated plasma triglycerides, is associated causally with an increased risk of atherosclerotic cardiovascular disease. However, the association with all-cause mortality and cause-specific mortality is inconclusive. This study aimed to test the hypothesis that remnant cholesterol levels and plasma triglycerides are associated with increased all-cause mortality and mortality from cardiovascular disease, cancer, and other causes. Methods and results: Using a contemporary population-based cohort, 7,962 individuals from the National Health and Nutrition Examination Survey (NHANES) aged over 40 years at baseline in 2003-2015 were included. During up to 109.2 (± 1.44) months of follow-up, 1,323 individuals died: 385 individuals died from cardiovascular disease, 290 from cancer, 80 from cerebrovascular disease, and 568 from other causes. Compared with the middle tertile remnant cholesterol level, multivariable-adjusted mortality hazard ratios were 1.20 (95% confidence interval 1.02-1.40) for all-cause mortality. For the highest tertile remnant cholesterol level, multivariable-adjusted mortality hazard ratios were 1.21 (95% confidence interval 1.05,1.40). Our conclusions remained stable in subgroup analyses. Exploratory analysis of the cause of death subcategories showed corresponding hazard ratios of 1.25 (1.13-1.38) for Non-cardiovascular and Non-cerebrovascular Death for lower remnant cholesterol individuals, 1.47 (1.01-2.15) for cancer death for lower remnant cholesterol (RC) individuals, and 1.80 (1.36-2.38) for cancer death for higher RC individuals. Conclusion: RC levels were associated with U-shaped all-cause mortality. RC was associated with mortality from non-cardiovascular, non-cerebrovascular, and cancer, but not from cardiovascular causes. This novel finding should be confirmed in other cohorts.

Nutritional Indices Predict All Cause Mortality in Patients with Multi-/Rifampicin-Drug Resistant Tuberculosis.

Background: Multidrug- and rifampicin-resistant tuberculosis (MDR/RR-TB) with high mortality remains a public health crisis and health security threat. This study aimed to explore the predictive value of nutritional indices for all-cause mortality (ACM) in MDR/RR-TB patients. Methods: We retrospectively recruited MDR/RR-TB patients between January 2015 and December 2021, randomly assigning them to training and validation cohorts. Patients were divided into high nutritional risk groups (HNRGs) and low nutritional risk groups (LNRGs) based on the optimal cut-off value obtained from receiver operating characteristic (ROC) analyses of the hemoglobin-albumin-lymphocyte-platelet (HALP) score, prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score. In the training cohort, Kaplan-Meier survival curves and Log rank tests were used to compare overall survival (OS) between the groups. Cox risk proportion regression analyses were used to explore the risk factors of ACM in patients with MDR/RR-TB. The predictive performance of ACM was assessed using area under the curve (AUC), sensitivity and specificity of ROC analyses. Results: A total of 524 MDR/RR-TB patients, with 255 in the training cohort and 269 in the validation cohort, were included. Survival analyses in the training cohort revealed significantly lower OS in the HNRGs compared to the LNRGs. After adjusting for covariates, multivariate analysis identified low HALP score, low PNI and high CONUT score were independent risk factors for ACM in MDR/RR-TB patients. ROC analyses demonstrated good predictive performance for ACM with AUCs of 0.765, 0.783, 0.807, and 0.811 for HALP score, PNI, CONUT score, and their combination, respectively. Similar results were observed in the validation set. Conclusion: HALP score, PNI, and CONUT scores could effectively predict ACM in patients with MDR/RR-TB. Hence, routine screening for malnutrition should be given more attention in clinical practice to identify MDR/RR-TB patients at higher risk of mortality and provide them with nutritional support to reduce mortality.

Associations of glycemic measures in the normal range with all-cause mortality in the absence of traditional risk factors.

CONTEXT: The investigation of the association between blood glucose within normal range and all-cause mortality among individuals without traditional risk factors is limited. OBJECTIVE: To determine the associations of 3 glycemic measures (fasting plasma glucose [FPG], hemoglobin A1c [HbA1c], and 2-h glucose) in the normal range with all-cause mortality among individuals without traditional risk factors. DESIGN: Retrospective cohort study. SETTING: US National Health and Nutrition Examination Survey in 1988-1994 and 1999-2018. PARTICIPANTS: Non-pregnant adults who had a measurement of 2-h glucose, FPG, and HbA1c, and absence of traditional risk factors were included. MAIN OUTCOME MEASURES: Cox proportional hazard models were performed to examine the associations of normal FPG (n=5793), normal HbA1c (n=8179), and normal 2-h glucose (n=3404) with all-cause mortality. RESULTS: The significant association was found between 2-h glucose within the normal range and all-cause mortality among those without traditional risk factors. Compared to participants with 2-h glucose <80 mg/dL, participants with a higher normal 2-h glucose level had a higher risk of all-cause mortality (110-139 mg/dL: HR, 1.80 [95% CI, 1.03-3.15]). In the subgroup analysis, significant associations were also found among people aged ≥60 years and men. No significant associations were found between normal FPG and HbA1c levels and all-cause mortality. CONCLUSIONS: Among US adults without traditional risk factors, high normal 2-h glucose level was positively associated with all-cause mortality. This result highlights the potential importance of maintaining a lower normal level of 2-h glucose for preventing mortality in individuals who are conventionally considered to be cardiovascular healthy.

Comparison of serum alkaline phosphatase levels between two measurement methods in chronic hemodialysis patients in Japan: involvement of ABO blood group system and relationship with mortality risk.

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.

Association of Urinary Metals With Cardiovascular Disease Incidence and All-Cause Mortality in the Multi-Ethnic Study of Atherosclerosis (MESA).

BACKGROUND: Exposure to metals has been associated with cardiovascular disease (CVD) end points and mortality, yet prospective evidence is limited beyond arsenic, cadmium, and lead. In this study, we assessed the prospective association of urinary metals with incident CVD and all-cause mortality in a racially diverse population of US adults from MESA (Multi-Ethnic Study of Atherosclerosis). METHODS: We included 6599 participants (mean [SD] age, 62.1 [10.2] years; 53% female) with urinary metals available at baseline (2000 to 2001) and followed through December 2019. We used Cox proportional hazards models to estimate the adjusted hazard ratio and 95% CI of CVD and all-cause mortality by baseline urinary levels of cadmium, tungsten, and uranium (nonessential metals), and cobalt, copper, and zinc (essential metals). The joint association of the 6 metals as mixture and the corresponding 10-year survival probability was calculated using Cox Elastic-Net. RESULTS: During follow-up, 1162 participants developed CVD, and 1844 participants died. In models adjusted by behavioral and clinical indicators, the HR (95% CI) for incident CVD and all-cause mortality comparing the highest with the lowest quartile were, respectively: 1.25 (1.03, 1.53) and 1.68 (1.43, 1.96) for cadmium; 1.20 (1.01, 1.42) and 1.16 (1.01, 1.33) for tungsten; 1.32 (1.08, 1.62) and 1.32 (1.12, 1.56) for uranium; 1.24 (1.03, 1.48) and 1.37 (1.19, 1.58) for cobalt; 1.42 (1.18, 1.70) and 1.50 (1.29, 1.74) for copper; and 1.21 (1.01, 1.45) and 1.38 (1.20, 1.59) for zinc. A positive linear dose-response was identified for cadmium and copper with both end points. The adjusted HRs (95% CI) for an interquartile range (IQR) increase in the mixture of these 6 urinary metals and the corresponding 10-year survival probability difference (95% CI) were 1.29 (1.11, 1.56) and -1.1% (-2.0, -0.05) for incident CVD and 1.66 (1.47, 1.91) and -2.0% (-2.6, -1.5) for all-cause mortality. CONCLUSIONS: This epidemiological study in US adults indicates that urinary metal levels are associated with increased CVD risk and mortality. These findings can inform the development of novel preventive strategies to improve cardiovascular health.

Dietary magnesium intake and rheumatoid arthritis patients' all-cause mortality: evidence from the NHANES database.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic inflammatory joint disease with all-cause mortality increasing globally. Dietary magnesium (Mg), an anti-inflammatory nutrient, has been proven to be associated with the all-cause mortality. The association of dietary Mg intake and all-cause mortality in RA patients remains unknown. The aim of this study was to assess the association between dietary Mg intake and all-cause mortality in RA patients. METHODS: RA patients were extracted from the NHANES 1999-2018, and followed for survival through December 31, 2019. Dietary Mg intake data were obtained from 24-h dietary recall interview. The association between dietary Mg intake and RA patients' all-cause mortality was explored based on weighted univariate and multivariate Cox proportional hazard models and described as absolute risk difference (ARD), hazard ratios (HRs) and 95% confidence intervals (CIs). This association was further explored in subgroup analyses based on different age, gender and body mass index (BMI). RESULTS: Totally 2,952 patients were included. Until 31 December 2019, a total of 825 deaths were documented. RA patients with higher dietary Mg intake had a 11.12% reduction of all-cause mortality (ARD=-11.12%; HR = 0.74, 95%CI: 0.56-0.99) in the fully adjusted model, especially in female (HR = 0.68, 95%CI: 0.47-0.98), aged < 65 years (HR = 0.59, 95%CI: 0.37-0.94) and BMI ≤ 30 kg/m2 (HR = 0.62, 95%CI: 0.42-0.91). CONCLUSION: RA patients who consumed adequate dietary Mg from diet as well as supplements may had a lower risk of all-cause mortality.

Association between serum uric acid to serum creatinine ratio with cardiovascular and all-cause mortality in adults with hypertension.

The serum uric acid to serum creatinine ratio (SUA/sCr) is a standardized index of renal function. More importance was attached to the significance of this ratio in the progression of hypertension. While the association between the prognosis of hypertension and SUA/sCr is unknown. Therefore, we aimed to prospectively examine the associations of serum uric acid to serum creatinine ratio and all-cause and CVD mortality in adults with hypertension. Participants with hypertension from NHANES 1999-2018 (n = 15,269) were included. They were stratified by 1 increment of SUA/sCr ratio and categorized into 6 groups as ≤ 4, > 4 to 5, > 5 to 6, > 6 to 7, > 7 to 8, and > 8. The reason for categorization in 6 groups was to analyze the influence of different ratios on outcomes accurately and provide more precise guidance. The sample size is large enough that even if divided into 6 groups, it does not affect the statistical power. The primary outcomes were all-cause and CVD mortality. Weighted multivariable Cox proportional hazards regression models were used to estimate hazard ratio (HRs) of mortality. Restricted cubic spline regression models were utilized to examine dose-response associations between the serum uric acid to serum creatinine ratio and all-cause and CVD mortality. Relatively comprehensive stratified analyses were conducted to confirm the accuracy and stability of the results. There were 15,269 total participants, 49.4% of whom were men, with an average age of 56.6 years. Weighted multivariable Cox proportional hazards regression models demonstrated participants in the lowest group (≤ 4) had the HRs (95% CIs) of 1.43 (1.18, 1.73) for all-cause mortality and 2.8 (1.92, 4.10) for CVD mortality when compared to the reference group. Participants in the highest group (> 8) had the HRs (95% CIs) of 0.47 (0.25, 0.89) for CVD mortality when compared to the reference group. There were progressively lower risks for all-cause and CVD mortality with the SUA/sCr ratio increased (both P trend < 0.01). The SUA/sCr ratio was (P for nonlinearity < 0.01) nonlinearly correlated with all-cause mortality, with inflection points of 6.25. In addition, the restricted cubic splines results indicated that the SUA/sCr ratio (P for nonlinearity = 0.32) showed linear and negative associations with cardiovascular mortality with inflection points of 6.54. The inverse associations between SUA/sCr ratio and all-cause mortality were consistent across all subgroups except for the subgroup of eGFR < 45 ml/min/1.73 m2 and never smokers (P trend = 0.20 and 0.13, respectively), and the inverse associations between low SUA/sCr ratio and CVD mortality were consistent across all subgroups (P trend < 0.01). Contrary to previous studies, outcomes suggest that lower SUA/sCr ratio was associated with higher risks of all-cause and CVD mortality in adults with hypertension.

Association Between Phenotypic Age and the Risk of Mortality in Patients With Heart Failure: A Retrospective Cohort Study.

BACKGROUND: Chronological age (CA) is an imperfect proxy for the true biological aging state of the body. As novel measures of biological aging, Phenotypic age (PhenoAge) and Phenotypic age acceleration (PhenoAgeAccel), have been shown to identify morbidity and mortality risks in the general population. HYPOTHESIS: PhenoAge and PhenoAgeAccel might be associated with mortality in heart failure (HF) patients. METHODS: This cohort study extracted adult data from the National Health and Nutrition Examination Survey (NHANES) databases. Weighted univariable and multivariable Cox models were performed to analyze the effect of PhenoAge and PhenoAgeAccel on all-cause mortality in HF patients, and hazard ratio (HR) with 95% confidence intervals (CI) was calculated. RESULTS: In total, 845 HF patients were identified, with 626 all-cause mortality patients. The findings suggested that (1) each 1- and 10-year increase in PhenoAge were associated with a 3% (HR = 1.03, 95% CI: 1.03-1.04) and 41% (HR = 1.41, 95% CI: 1.29-1.54) increased risk of all-cause mortality, respectively; (2) when the PhenoAgeAccel < 0 as reference, the ≥ 0 group was associated with higher risk of all-cause mortality (HR = 1.91, 95% CI = 1.49-2.45). Subgroup analyses showed that (1) older PhenoAge was associated with an increased risk of all-cause mortality in all subgroups; (2) when the PhenoAgeAccel < 0 as a reference, PhenoAgeAccel ≥ 0 was associated with a higher risk of all-cause mortality in all subgroups. CONCLUSION: Older PhenoAge was associated with an increased risk of all-cause mortality in HF patients. PhenoAge and PhenoAgeAccel can be used as convenient tools to facilitate the identification of at-risk individuals with HF and the evaluation of intervention efficacy.

Impaired sensitivity to thyroid hormone correlates to all-cause mortality in euthyroid individuals with chronic kidney disease.

BACKGROUND: This study aimed to investigate the association between central sensitivity to thyroid hormones and all-cause mortality in euthyroid patients with chronic kidney disease (CKD). METHODS: ​Data on thyroid function indicators and all-cause mortality for CKD patients were extracted from the NHANES database (2007-2012). Central sensitivities to thyroid hormones were mainly evaluated by Thyroid Feedback Quantile-based Index (TFQI). The Kaplan-Meier method, Cox proportional hazards regression model and subgroup analysis were performed to explore the potential associations between thyroid hormone sensitivity and all-cause mortality. RESULTS: A total of 1303 euthyroid CKD patients were enrolled in this study. After a median follow-up of 115 months, 503 participants died. The Kaplan-Meier analysis demonstrated significant variations in survival rates among different levels of TFQI (P = 0.0015). Cox regression analysis showed that increased levels of TFQI were independent risk factors for all-cause mortality after adjusting for multiple confounding factors (HR = 1.40, 95% CI 1.10-1.79, P = 0.007). Subgroup analysis did not reveal any significant variation in the association between TFQI and all-cause mortality between the subgroups assessed (P for interaction > 0.05). CONCLUSION: Our study suggests that impaired thyroid hormone sensitivity might be linked to increased mortality in euthyroid CKD patients. Further research is needed to confirm and explore this association.

Non-linear Association of CAR with all-Cause and Cardiovascular Mortality in Coronary Heart Disease: A Retrospective Cohort Study from NHANES.

OBJECTIVE: To investigate the relationship between C-reactive protein and albumin ratios (CAR) and all-cause and cardiovascular disease(CVD)-specific mortality in individuals with coronary heart disease(CHD). METHODS: The data from 1895 patients were extracted from the National Health and Nutrition Examination Survey (NHANES) database from 1999-2010. We used weighted COX regression analyses to explore the association between CAR, all-cause, and CVD-specific mortality. Restricted cubic spline(RCS) regression models and threshold effects analysis were used to analyze nonlinear relationships. Subgroup analyses were also performed to explore these relationships further. RESULTS: During a mean follow-up of 115.78 months, 61.48% of deaths occurred, and 21.85% were due to CVD. After adjusting for potential confounders, each 1-unit increase in CAR was associated with a 65% increase in all-cause mortality and a 67% increase in CVD-specific mortality. The RCS model revealed a non-linear association between CAR and the risk of all-cause mortality and CVD-specific mortality in CHD patients (all non-linear P < 0.001). Threshold effects analysis identified inflection points in regression models of all-cause mortality (0.04, P < 0.001) and CVD-specific mortality (0.05, P = 0.0024). The interaction tests found sex, smoking and diabetes influenced the association between CAR and all-cause mortality and sex, smoking and HF influenced its association with CVD-specific mortality (all P < 0.05). CONCLUSION: There was a nonlinear association between CAR and all-cause mortality and CVD mortality in patients with CHD, with a higher hazard ratio before the inflection point. Sex, smoking, diabetes, and HF might have an effect on the associations between CAR and death risks.

Association of life's essential 8 with mortality among the individuals with cardiovascular disease.

This study explores the association between LE8 scores and mortality risks among individuals diagnosed with cardiovascular disease (CVD). Utilizing data from the NHANES conducted between 2005 and 2018, survey-weighted multivariable Cox proportional hazards regression models were utilized. Life's Essential 8 (LE8) scores dose-response associations were assessed using restricted cubic spline regression. Sub-analyses were performed for different categories of CVD. The study consisted of 2164 participants diagnosed with CVD, ranging in age from 20 to 80 years (weighted mean [SE] age, 61.47 [0.34] years; The average total LE8 was 64.97 [0.54]. 499 participants experienced mortality, with 350 deaths attributed to CVD. After accounting for potential covariates, LE8 score was found to be associated with a decreased both all-cause mortality (OR 0.34, CI 0.22-0.51) and CVD mortality (OR 0.40, CI 0.23-0.68). A survey-weighted multivariable Cox model with restricted cubic splines identified the lowest all-cause mortality (P < 0.001) and CVD mortality (P < 0.001) risk when LE8 reach at 63.75 (P < 0.001). The results highlight the association between LE8 scores and reduced mortality in CVD patient population. The implementation of comprehensive initiatives that prioritize healthy dietary patterns, will play a crucial role in alleviating the impact of cardiovascular disease and improving cardiovascular health outcomes.

Dose-response association between walking speed and all-cause mortality: A systematic review and meta-analysis of cohort studies.

This review aims to investigate the dose-response relationship between walking speed and all-cause mortality. PubMed, Web of Science, Embase and Cochrane Library were searched to September, 2023 for cohort studies. A meta-analysis estimated the overall hazard ratio (HR) of mortality incidence and 95% Confidence Interval (CI) for individuals with the fastest walking speed compared to those with the slowest walking speed. Subgroup analyses were conducted based on sex, age and speed-measuring methods. Dose-response meta-analyses were examined by using "mvmeta" packages available in STATA. A total of 13 studies involving 530,841 participants were included. Of these, 11 studies provided data for dose-response meta-analyses. Individuals in the fastest walking-speed category had a 43% lower risk of all-cause mortality compared to those in the slowest walking-speed category (HR = 0.57, 95% CI 0.48-0.66). There was an inverse linear dose-response relationship between walking speed and all-cause mortality; for every 0.1 m/s increment in walking speed, the risk of mortality decreased by 6% (HR = 0.94; 0.92-0.96). There was an inverse nonlinear dose-response relationship between them when participants' age was larger than 65 years, but linear dose-response relationships were detected in both the timed walking speed test and self-reported walking speed measurements.

Prognostic Impact of Post-Transplant Diabetes Mellitus in Kidney allograft recipients: A Meta-analysis.

BACKGROUND AND AIM: Post-transplant diabetes mellitus (PTDM) is a complex condition arising from various factors including immunosuppressive medications, insulin resistance, impaired insulin secretion, and inflammatory processes. Its impact on patient and graft survival is a significant concern in kidney transplant recipients. PTDM's impact on kidney transplant recipients, including patient and graft survival and cardiovascular mortality, is a significant concern, given conflicting findings in previous studies. This meta-analysis was imperative to not only incorporate emerging evidence but also to delve into cause-specific mortality considerations. We aimed to comprehensively evaluate the association between PTDM and clinical outcomes, including all-cause and cardiovascular mortality, sepsis-related mortality, malignancy-related mortality, and graft loss, in kidney transplant recipients. MATERIALS AND METHODS: PubMed, Ovid/Medline, Web of Science, Scopus, and Cochrane Library databases were screened and studies evaluating the effect of PTDM on all-cause mortality, cardiovascular mortality, sepsis-related mortality, malignancy-related mortality, and overall graft loss in adult kidney transplant recipients were included. RESULTS: 53 studies, encompassing a total of 138,917 patients, to evaluate the association between PTDM and clinical outcomes were included. Our analysis revealed a significant increase in all-cause mortality (RR 1.70, 95% CI 1.53 to 1.89, P<0.001) and cardiovascular mortality (RR 1.86, 95% CI 1.36 to 2.54, P<0.001) among individuals with PTDM. Moreover, PTDM was associated with a higher risk of sepsis-related mortality (RR 1.96, 95% CI 1.51 to 2.54, P<0.001) but showed no significant association with malignancy-related mortality (RR 1.20, 95% CI 0.76 to 1.88). Additionally, PTDM was linked to an increased risk of overall graft failure (RR 1.33, 95% CI 1.16 to 1.54, P<0.001). CONCLUSION: These findings underscore the importance of comprehensive management strategies and the need for research targeting PTDM to improve outcomes in kidney transplant recipients.

Inflammatory burden index: associations between osteoarthritis and all-cause mortality among individuals with osteoarthritis.

BACKGROUND: The newly described inflammatory burden index (IBI) reflects a patient's inflammatory burden. This study aimed to estimate the association between IBI, osteoarthritis (OA), and all-cause mortality in patients with OA. METHODS: We extracted the data of adults from the National Health and Nutrition Examination Survey database between 1999 and 2018. After using appropriate survey weights to correct for sample bias, we conducted multivariate logistic regression analyses to explore the association between IBI and OA across three models: in the unadjusted model, partially adjusted model (adjusting age, sex, race, education level, marital status, PIR, BMI, smoking status, drinking status, stroke, CVD, DM, and hypertension) and fully adjusted model (which included additional variables: HBA1C, ALT, AST, BUN, TC, and HDL). And the odds ratios (OR) and 95% confidence intervals (CI) were calculated. Similarly, using comparable survey weights and covariates adjustments, we employed Cox proportional hazards regression analysis to investigate the association between IBI and all-cause mortality in the other 3 models. The Cox proportional hazards regression models were fitted to calculate the hazard ratios (HR) and 95% CI of the association between IBI and all-cause mortality. A restricted cubic spline (RCS) was used to explore the nonlinear relationships between association effects. Subgroup analysis was performed to validate the reliability of their effects. RESULTS: In total, 22,343 eligible participants were included. Multiple logistic regression models revealed that participants with the highest IBI had 2.54 times (95%CI, 2.23, 2.90)) higher risk of OA than those with the lowest IBI in Model 1, whereas the OR was 1.21 (95%CI, 1.03, 1.42) in Model 2 and 1.23 (95%CI,1.05, 1.45) in Model 3. Multiple Cox regression models showed participants with the highest IBI had 186% (95%CI, 1.50, 2.31) times risk of developing all-cause death than those with the lowest IBI in Model 1. This trend remained stable in Models 2 (HR,1.54; 95%CI,1.22, 1.95) and 3 (HR, 1.41; 95%CI, 1.10, 1.80). The RCS revealed a significant positive association between IBI and OA risk. With respect to the association between IBI and all-cause mortality, a slight decrease in mortality was observed from the lowest quartile to the second quartile of IBI, and the mortality risk increased with increasing IBI. Subgroup analyses showed that age, cardiovascular disease, and hypertension were pivotal in the association of IBI with all-cause mortality, whereas the association of IBI with OA remained stable after stratification by other factors such as sex, race, education level, marital, smoking, and drinking status, hypertension, and most serological indices. CONCLUSIONS: This study provides evidence of a positive association between IBI, OA, and all-cause mortality. IBI may be a promising signature for assessing the inflammatory burden in patients with OA, which, in turn, is conducive to precise references for high-risk population recognition, anti-inflammatory guidance, and reducing mortality intervention.

Impact of early economic activity loss on all-cause mortality in gastric cancer survivors following curative treatment: a nationwide study in Korea.

BACKGROUND: The impact of economic engagement on the health of cancer survivors is notable. Our study aims to explore the association between early loss of economic activity (EA) and the risk of all-cause mortality among gastric cancer survivors. METHODS: This retrospective cohort study utilized data from Korea's National Health Insurance Service, focusing on 30-59-year-old gastric cancer patients who received either surgery or endoscopic procedures from January 2009 to December 2013. The primary outcome measure was all-cause mortality. Early loss of EA was identified when a patient's insurance status shifted to dependent within one year following treatment. Adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for all-cause mortality were estimated using multivariable Cox proportional hazards models, conducting separate analyses for surgical and endoscopic groups. RESULTS: Among 24,159 patients (median follow-up, 9.9 years), 2976 (12.3%) experienced all-cause mortality. Specifically, 2835 of these deaths occurred in patients who underwent surgery, while 141 were in the endoscopic procedure group. Early loss of EA was recorded in 14.4% of the surgery group and 7.7% of the endoscopic procedure group. Adjusted HRs (95% CI) for all-cause mortality associated with early loss of EA were 1.39 (1.27-1.54) for the surgery group and 2.27 (1.46-3.52) for the endoscopic procedure group. CONCLUSIONS: This study highlights a significant association between the early loss of EA and an increased risk of all-cause mortality in those who have undergone curative treatments for gastric cancer. It underscores the crucial role of sustaining EA in enhancing the health outcomes of these survivors.

Association between hydration status and the risk and all-cause mortality of diabetic kidney disease.

BACKGROUND: This cohort study aimed to explore the relationship between hydration status and the risk of diabetic kidney disease (DKD) as well as all-cause death in DKD patients. METHODS: Weighted univariable and multivariable logistic regression models were used to explore the association between hydration status and DKD risk in diabetic population while weighted univariable and multivariable Cox regression models were used to identify the association between hydration status and all-cause mortality in DKD patients. Kaplan-Meier curve was plotted to present the survival probability of patients with different hydration status. Estimates were presented as odds ratio (OR), and hazard ratio (HR) with 95% confidence interval (CI). RESULTS: The mean follow-up time was 79.74 (±1.89) months. There were 2041 participants with DKD, and 2889 participants without. At the end of the follow-up, 965 participants were alive. The risk of DKD was increased as the increase of osmolarity level (OR = 1.07, 95%CI: 1.05-1.08). The elevated risk of DKD was observed in patients with impending dehydration (OR = 1.49, 95%CI: 1.19-1.85) or current dehydration (OR = 2.69, 95%CI: 2.09-3.46). The association between increased osmolarty level and elevated risk of all-cause mortality in DKD patients was statistically different (HR = 1.02, 95%CI: 1.01-1.03). Current dehydration was correlated with increased all-cause mortality risk in DKD patients (HR = 1.27, 95%CI: 1.01-1.61). Compared to DKD patients with normal hydration, the survival probability of DKD patients with current dehydration was significant lower (p < 0.001). CONCLUSION: Increased osmolarity level was associated with increased risk of DKD and elevated risk of all-cause mortality in DKD patients.

Association between triglyceride-glucose related indices and all-cause and cause-specific mortality in the general population: a cohort study.

BACKGROUND: Although triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance and cardiometabolic disease, its effectiveness in predicting mortality risk has not been adequately validated. We aimed to investigate the association between the TyG-related indices and all-cause and cause-specific mortality in the general population. METHODS: A total of 27,642 individuals were included from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. Three indicators were constructed, including the TyG index, TyG combined with waist-to-height ratio (TyG-WHtR), and TyG combined with waist circumference (TyG-WC). Mortality data was acquired through the linkage of NHANES data with National Death Index records. Weighted Cox proportional hazards models were used to estimate the independent association between the TyG-related indices and mortality. Nonlinear associations were explored using restricted cubic splines. RESULTS: Multivariable adjusted models showed a progressive increase in all-cause and cause-specific mortality across quartiles of the TyG-related indices. Compared with the lowest quartile of the TyG index, the highest quartile had adjusted hazard ratios of 1.26 (95% CI 1.04-1.52) for all-cause mortality, 1.38 (1.04-1.74) for cardiovascular mortality, and 1.23 (1.01-1.50) for non-cardiovascular mortality, respectively. For the TyG-WHtR index, the corresponding hazard ratios were 1.60 (1.25-2.05), 1.86 (1.26-2.50), and 1.48 (1.10-1.99), respectively. For the TyG-WC index, the corresponding hazard ratios were 1.42 (1.11-1.75), 1.48 (1.04-1.96), and 1.38 (1.05-1.72), respectively. The associations between the three TyG-related indices and all-cause, cardiovascular and non-cardiovascular mortality were J-shaped. Interaction tests revealed significant effect modification by age, low-density lipoprotein cholesterol (LDL-C) level, and statin use (all P values < 0.05). CONCLUSIONS: The TyG-related indices were independent predictors of all-cause and cause-specific mortality in the general population. Young individuals should be particularly vigilant, whereas low LDL-C levels and statin use are potentially protective.