Assessing the Quality of Cause-of-Death Reporting Before and During the COVID-19 Pandemic.

This study assessed the quality of cause-of-death reporting in the US before and during the COVID-19 pandemic. We used the selection rate and the adjusted odds ratio (aOR) to analyze each cause identified by the National Center for Health Statistics as unsuitable for the underlying cause of death (UCOD). The selection rate was defined as the proportion of deaths with mention of a particular unsuitable UCOD on the death certificate where that cause was ultimately selected as the UCOD. Out of 36 unsuitable UCODs, 33 exhibited a significant decline in selection rates from 2019 to 2021. However, when deaths with mention of COVID-19 on the death certificate were excluded, only 19 causes revealed a significant decline. In analyses that controlled for the age of decedents, aORs in 2021 were significantly lower compared with 2019 for 26 causes, and this number decreased to 17 causes in analyses that excluded COVID-19-related deaths. In conclusion, the overall quality of COD reporting improved during the COVID-19 pandemic, attributable mainly to the fact that over one-tenth of the deaths were related to COVID-19. Yet, for deaths that did not involve COVID-19, improvements in the quality of COD reporting were less prominent for certain causes.

Associations of dietary magnesium intake with the risk of atherosclerotic cardiovascular disease and mortality in individuals with and without type 2 diabetes: A prospective study in the UK Biobank.

BACKGROUND: The association between dietary magnesium (Mg) intake and the risk of atherosclerotic cardiovascular disease (ASCVD) remains uncertain. We aimed to examine the associations of dietary Mg intake with the risk of ASCVD events and mortality in individuals with and without type 2 diabetes. METHODS: A total of 149,929 participants (4603 with type 2 diabetes) from the UK Biobank were included in the analyses. The hazard ratios (HRs) and 95 % confidence intervals (CIs) were estimated using Cox proportional hazard models. Furthermore, interactions of dietary Mg intake with type 2 diabetes status were examined on multiplicative and additive scales. RESULTS: During a median follow-up of 12.0 and 12.1 years, 7811 incident ASCVD events and 5000 deaths (including 599 ASCVD deaths) were documented, respectively. There were significantly negative associations between sufficient dietary Mg intake (equal to or greater than the recommended daily intake) and the risk of ASCVD incidence (HR 0.63 [95 % CI 0.49;0.82]), ASCVD mortality (0.45 [0.24;0.87]), and all-cause mortality (0.71 [0.52;0.97]) in participants with type 2 diabetes, whereas no significant association was observed in participants without type 2 diabetes (1.01 [0.94;1.09] for ASCVD incidence; 1.25 [0.93;1.66] for ASCVD mortality; 0.97 [0.88;1.07] for all-cause mortality). Multiplicative and additive interactions of dietary Mg intake with type 2 diabetes status were both observed. CONCLUSION: Sufficient dietary Mg intake was significantly associated with lower risks of ASCVD events and mortality in individuals with type 2 diabetes but not in those without type 2 diabetes. Our findings provide insight into the importance of dietary Mg intake for reducing modifiable cardiovascular burden in individuals with type 2 diabetes, which may inform future personalized dietary guidelines.

Absolute risk from double nested case-control designs: cause-specific proportional hazards models with and without augmented estimating equations.

We estimate relative hazards and absolute risks (or cumulative incidence or crude risk) under cause-specific proportional hazards models for competing risks from double nested case-control (DNCC) data. In the DNCC design, controls are time-matched not only to cases from the cause of primary interest, but also to cases from competing risks (the phase-two sample). Complete covariate data are available in the phase-two sample, but other cohort members only have information on survival outcomes and some covariates. Design-weighted estimators use inverse sampling probabilities computed from Samuelsen-type calculations for DNCC. To take advantage of additional information available on all cohort members, we augment the estimating equations with a term that is unbiased for zero but improves the efficiency of estimates from the cause-specific proportional hazards model. We establish the asymptotic properties of the proposed estimators, including the estimator of absolute risk, and derive consistent variance estimators. We show that augmented design-weighted estimators are more efficient than design-weighted estimators. Through simulations, we show that the proposed asymptotic methods yield nominal operating characteristics in practical sample sizes. We illustrate the methods using prostate cancer mortality data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Study of the National Cancer Institute.

Characterization and Mortality Risk of Impaired Left Ventricular Filling in COPD.

BACKGROUND: In COPD, impaired left ventricular (LV) filling might be associated with coexisting HFpEF or due to reduced pulmonary venous return indicated by small LV size. We investigate the all-cause mortality associated with small LV or HFpEF and clinical features discriminating between both patterns of impaired LV filling. METHODS: We performed transthoracic echocardiography (TTE) in patients with stable COPD from the COSYCONET cohort to define small LV as LVEDD below the normal range and HFpEF features according to recommendations of the European Society of Cardiology. We assessed the E/A and E/e' ratios, NT-pro-BNP, hs-Troponin I, FEV1, RV, DLCo, and discriminated patients with small LV from those with HFpEF features or no relevant cardiac dysfunction as per TTE (normalTTE). The primary outcome was all-cause mortality after four and a half year. RESULTS: In 1752 patients with COPD, the frequency of small LV, HFpEF-features, and normalTTE was 8%, 16%, and 45%, respectively. Patients with small LV or HFpEF features had higher all-cause mortality rates than patients with normalTTE, HR: 2.75 (95% CI: [1.54 - 4.89]) and 2.16 (95% CI: [1.30 - 3.61]), respectively. Small LV remained an independent predictor of all-cause mortality after adjusting for confounders including exacerbation frequency and measures of RV, DLCo, or FEV1. Compared to normalTTE, patients with small LV had reduced LV filling, as indicated by lowered E/A. Yet in contrast to patients with HFpEF-features, patients with small LV had normal LV filling pressure (E/e') and lower levels of NT-pro-BNP and hs-Troponin I. CONCLUSION: In COPD, both small LV and HFpEF-features are associated with increased all-cause mortality and represent two distinct patterns of impaired LV filling.

Is Type 2 Diabetes Mellitus an Independent Risk Factor for Mortality in Hypertrophic Cardiomyopathy?

Background: The mortality rate of hypertrophic cardiomyopathy (HCM) has decreased between 1999 and 2020. The risk factors for sudden cardiac death (SCD) in HCM were updated in the American Heart Association (AHA)/American College of Cardiology Foundation (ACCF) 2020 guidelines by adding new risk factors, like the late gadolinium enhancement on cardiac magnetic resonance imaging (MRI). Type 2 diabetes mellitus (T2DM) is a major risk factor for most cardiac diseases; however, it is not included in these guidelines due to a lack of strong evidence of a correlation between T2DM and mortality in HCM. Therefore, we sought to investigate if T2DM increases the 5-year risk rate for adverse outcomes, such as heart failure and all-cause mortality in patients with HCM. Methods: We collected patient data from January 1, 2018, to March 1, 2023, using the TriNetX database. The sample included 80,502 individuals with HCM, then divided into two cohorts based on the absence (58,573; cohort 1) or presence (15,296; cohort 2) of T2DM. The two matched groups then underwent survival and risk analyses for all-cause mortality or the first incidence of heart failure diagnosis within 5 years from the point in time when the selection criteria were first met. Results: We found a statistically significant increase in all-cause mortality and new-onset heart failure in HCM patients with diabetes compared to those without diabetes after adjusting for major risk factors. Conclusions: This is one of the largest retrospective cohort studies that examined the correlation between T2DM and adverse outcomes in patients with HCM. This underlines the need for future prospective studies investigating the effects of T2DM on HCM outcomes.

Validation of Database Autopsy for Review of Pregnancy-Associated Deaths in Canada.

The database autopsy method was developed to determine probable causes of maternal deaths in the Canadian Institute for Health Information's hospital discharge abstract database, but the method has yet to be validated. Using immediate cause of death information from Quebec's hospitalization database as the gold standard, this study assessed the validity and reliability of the database autopsy method for pregnancy-associated deaths. The method had high sensitivity and specificity for identifying the most common causes of these deaths, as well as high interobserver agreement. We conclude that the database autopsy method is valid and reliable overall.

Normoalbuminuria-is it normal? The association of urinary albumin within the 'normoalbuminuric' range with adverse cardiovascular and mortality outcomes: A systematic review and meta-analysis.

AIM: To assess the association between urinary albumin-to-creatinine ratio (UACR) categories within the normal range with mortality and adverse cardiovascular outcomes. MATERIALS AND METHODS: PubMed and Embase were systematically searched for real-world evidence studies. Studies were manually evaluated according to predefined eligibility criteria. We included prospective and retrospective cohort studies of the association between UACR categories <30 mg/g and cardiovascular outcomes or mortality. Published information regarding study design, participants, UACR categorization, statistical methods, and results was manually collected. Two UACR categorization approaches were defined: a two-category (UACR <10 mg/g vs. 10-30 mg/g) and a three-category division (UACR <5 mg/g vs. 5-10 and 10-30 mg/g). A random effects meta-analysis was performed on studies eligible for the meta-analysis. RESULTS: In total, 22 manuscripts were identified for the systematic review, 15 of which were eligible for the meta-analysis. The results suggest an association between elevated UACR within the normal to mildly increased range and higher risks of all-cause mortality, cardiovascular death, and coronary heart disease, particularly in the range of 10-30 mg/g. Compared with UACR <10 mg/g, the hazard ratio [HR (95% confidence interval, CI)] for UACR between 10 and 30 mg/g was 1.41 (1.15, 1.74) for all-cause mortality and 1.56 (1.23, 1.98) for coronary heart disease. Compared with UACR <5 mg/g, the risk of cardiovascular mortality for UACR between 10 and 30 mg/g was more than twofold [HR (95% CI): 2.12 (1.61, 2.80)]. Intermediate UACR (5-10 mg/g) was also associated with a higher risk of all-cause mortality [HR (95% CI): 1.14 (1.05, 1.24)] and cardiovascular mortality [HR (95% CI): 1.50 (1.14, 1.99)]. CONCLUSIONS: We propose considering higher UACR within the normoalbuminuric range as a prognostic factor for cardiovascular morbidity and mortality. Our findings underscore the clinical significance of even mild increases in albuminuria.

All-cause and cause-specific mortality risk and loss in life expectancy associated with incident type 2 diabetes onset age and duration.

BACKGROUND: Evidence on type 2 diabetes onset age and duration on mortality risk has been limited by short follow-up, inadequate control for confounding, missing repeated measurements, and inability to cover the full range of onset age, duration, and major causes of death. Moreover, scarce data dissect how type 2 diabetes onset age and duration shape life expectancy. METHODS: We evaluate prospectively these topics based on 270,075 eligible participants in the Nurses' Health Studies and Health Professionals Follow-up Study, leveraging repeated measurements throughout up to 40 years of follow-up. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: In fully adjusted analyses, incident early onset type 2 diabetes (diagnosed <40 years of age) was associated with significantly higher mortality from all-causes (HR, 95% CI was 3.16, 2.64-3.79; vs. individuals without type 2 diabetes), cardiovascular disease (6.56, 4.27-10.1), respiratory disease (3.43, 1.38-8.51), neurodegenerative disease (5.13, 2.09-12.6), and kidney disease (8.55, 1.98-36.9). The relative risk elevations declined dramatically with each higher decade of age at diagnosis for deaths from most of these causes, though the absolute risk difference increased continuously. A substantially higher cumulative incidence of mortality and a greater loss in life expectancy were associated with younger age at type 2 diabetes diagnosis. Longer disease duration was associated with generally higher relative and absolute risk of mortality. CONCLUSION: Early onset of type 2 diabetes and longer disease duration are associated with substantially increased risk of all-cause and cause-specific mortality and greater loss in life expectancy.

Association of both depressive symptoms scores and specific depressive symptoms with all-cause and cardiovascular disease mortality.

BACKGROUND: The presence of depression related to an increased risk of all-cause and cardiovascular disease (CVD) mortality has been reported. However, studies conducted on certain specific depressive symptoms are scarce. Our purpose was to assess the effect of both depressive symptoms scores and certain specific depressive symptoms on all-cause and CVD mortality. METHODS: In the present cohort study, all participants, aged 18 years or older, were enrolled in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2014. Depressive symptoms score was assessed using the validated 9-item Patient Health Questionnaire Depression Scale (PHQ-9), which ranges from 0 to 27, with a PHQ-9 score ≥ 10 diagnosed as depression. The outcome events were all-cause and CVD mortality, which were followed up from 2005 to 2014. The associations of both depressive symptoms score and certain specific depressive symptoms with all-cause and CVD mortality were examined by weighted multivariable proportional hazards models. RESULTS: A total of 26,028 participants aged ≥ 18 years were included in the statistical analysis, including 12,813 (49.2%) males and 13,215 (50.8%) females, with a mean (SD) age of 47.34 (18.86) years. During the 9.32 (3.20) years of mean (SD) follow-up, 3261 deaths were recorded, of which 826 were cardiovascular deaths. All-cause mortality was 16.87/1000 person-years in subjects with depression. In terms of CVD mortality, these figures were 4.53/1000 person-years. In the full model (model 3), elevated depressive symptoms scores were independently associated with an increased risk of all-cause mortality (Highest depression symptom score group: adjusted hazard ratio, 1.63; 95% CI 1.44-1.85) and CVD mortality (Highest depression symptom score group: adjusted hazard ratio, 1.73; 95% CI 1.34-2.24). All 9 specific depressive symptoms that make up the PHQ-9 were related to an increased risk of all-cause mortality. However, only 3 symptoms, including trouble sleeping or sleeping too much, poor appetite or overeating, and suicidal ideation, were no significantly associated with an increased risk of CVD mortality. CONCLUSIONS: The elevated depressive symptoms scores were strongly associated with an increased risk of all-cause and CVD mortality in US adults. Furthermore, all 9 specific depressive symptoms were associated with high all-cause mortality. However, trouble sleeping or sleeping too much, poor appetite or overeating, and suicidal ideation might not increase the risk of CVD mortality.

AI-based Fully-Automated Stress Left Ventricular Ejection Fraction as a Prognostic Marker in Patients Undergoing Stress-CMR.

AIM: To determine in patients undergoing stress CMR whether fully automated stress artificial intelligence (AI)-based left ventricular ejection fraction (LVEFAI) can provide incremental prognostic value to predict death above traditional prognosticators. MATERIEL AND RESULTS: Between 2016 and 2018, we conducted a longitudinal study that included all consecutive patients referred for vasodilator stress CMR. LVEFAI was assessed using AI-algorithm combines multiple deep learning networks for LV segmentation. The primary outcome was all-cause death assessed using the French National Registry of Death. Cox regression was used to evaluate the association of stress LVEFAI with death after adjustment for traditional risk factors and CMR findings.In 9,712 patients (66±15 years, 67% men), there was an excellent correlation between stress LVEFAI and LVEF measured by expert (LVEFexpert) (r=0.94, p<0.001). Stress LVEFAI was associated with death (median [IQR] follow-up 4.5 [3.7-5.2] years) before and after adjustment for risk factors (adjusted hazard ratio [HR], 0.84 [95% CI, 0.82-0.87] per 5% increment, p<0.001). Stress LVEFAI had similar significant association with death occurrence compared with LVEFexpert. After adjustment, stress LVEFAI value showed the greatest improvement in model discrimination and reclassification over and above traditional risk factors and stress CMR findings (C-statistic improvement: 0.11; NRI=0.250; IDI=0.049, all p<0.001; LR-test p<0.001), with an incremental prognostic value over LVEFAI determined at rest. CONCLUSION: AI-based fully automated LVEF measured at stress is independently associated with the occurrence of death in patients undergoing stress CMR, with an additional prognostic value above traditional risk factors, inducible ischemia and LGE.

Random survival forest for predicting the combined effects of multiple physiological risk factors on all-cause mortality.

Understanding the combined effects of risk factors on all-cause mortality is crucial for implementing effective risk stratification and designing targeted interventions, but such combined effects are understudied. We aim to use survival-tree based machine learning models as more flexible nonparametric techniques to examine the combined effects of multiple physiological risk factors on mortality. More specifically, we (1) study the combined effects between multiple physiological factors and all-cause mortality, (2) identify the five most influential factors and visualize their combined influence on all-cause mortality, and (3) compare the mortality cut-offs with the current clinical thresholds. Data from the 1999-2014 NHANES Survey were linked to National Death Index data with follow-up through 2015 for 17,790 adults. We observed that the five most influential factors affecting mortality are the tobacco smoking biomarker cotinine, glomerular filtration rate (GFR), plasma glucose, sex, and white blood cell count. Specifically, high mortality risk is associated with being male, active smoking, low GFR, elevated plasma glucose levels, and high white blood cell count. The identified mortality-based cutoffs for these factors are mostly consistent with relevant studies and current clinical thresholds. This approach enabled us to identify important cutoffs and provide enhanced risk prediction as an important basis to inform clinical practice and develop new strategies for precision medicine.

Association of Dementia with Adverse Outcomes in Older Patients with Acute Myocardial Infarction in the ICU.

Dementia limits timely revascularization in individuals with acute myocardial infarction (AMI). However, it remains unclear whether dementia affects prognosis negatively in older individuals with AMI in the intensive care unit (ICU). This research aimed to evaluate the dementia effect on the outcomes in individuals with AMI in ICU.Data from 3,582 patients aged ≥ 65 years with AMI in ICU from the Medical Information Mart for Intensive Care IV (MIMIC IV) database were evaluated. The independent variable was dementia at baseline, and the primary finding was death from any cause during follow-up. A 1:1 propensity score matching (PSM) showed 208 participants with and without dementia. The correlation between dementia and poor prognosis of AMI was verified using a double-robust estimation method.In the PSM cohort, the 30-day all-cause mortality was 37.50% and 33.17% in the dementia and non-dementia groups (P = 0.356), respectively, and the 1-year all-cause mortality was 61.06% and 51.44%, respectively (P = 0.048). Cox regression analysis showed no association between dementia and elevated 30-day (hazard ratio [HR] 1.15, 95% confidence interval [CI] 0.84, 1.60) and 1-year (HR 1.28, 95% CI 0.99, 1.66) all-cause mortality after AMI. Similarly, dementia was not connected with in-hospital mortality, bleeding, or stroke after AMI. Interaction analysis showed that 1-year all-cause mortality was 48.00% higher in individuals with dementia and diabetic complications than in those without diabetic complications.Dementia is not an independent risk factor for adverse outcomes in AMI. Thus, it may be inappropriate to include dementia as a contraindication for invasive AMI therapy.

Iron metabolism biomarkers and mortality risk in U.S. patients with congestive heart failure: NHANES 1999-2018 analysis.

BACKGROUND AND AIMS: Iron deficiency is a major public health concern. We aimed to assess the predictive capability of 4 iron metabolism biomarkers for all-cause and cardiovascular disease-specific mortality in U.S. patients with congestive heart failure (CHF). METHODS AND RESULTS: 1904 CHF patients aged ≥20 years were enrolled from NHANES, 1999-2000 to 2017-2018. All analyses were weighted to provide nationally representative estimates. Among 1905 CHF patients, mean age was 71 years, and 1024 (53.8%), 459 (24.1%), 206 (10.8%), and 216 (11.3%) were Non-Hispanic Black, Non-Hispanic White, Hispanic-Mexican American, and Hispanic-Other Hispanic, respectively. During follow-ups, 1080 deaths occurred. Median follow-up time was 5.08 years. Per-unit increase in natural-logarithmic-transformed iron and transferrin saturation decreased all-cause mortality risk separately by 33.0% (adjusted hazard ratio: 0.670, 95% confidence interval: 0.563 to 0.797, P < 0.001) and 32.6% (0.674, 0.495 to 0.917, 0.013), and per-unit increase in transferrin receptor increased mortality risk by 33.7% (1.337, 1.104 to 1.618, 0.004). Two derivates from 3 significant iron biomarkers were generated - transferrin receptor to natural-logarithmic-transformed iron ratio (TRI) and transferrin receptor to natural-logarithmic-transformed transferrin saturation ratio (TRTS), which were significantly associated with all-cause mortality, with per-unit increase corresponding to 2.692- and 1.655-fold increased all-cause mortality risk (P: 0.003 and 0.023). Only iron and TRTS were associated with the significant risk of cardiovascular disease-specific mortality (P: 0.004 and 0.017). CONCLUSIONS: Our findings identified 3 iron metabolism biomarkers that were individually, significantly, and independently associated with all-cause mortality in patients with CHF, and importantly 2 derivates generated exhibited stronger predictive capability.

Association between C-reactive protein/albumin ratio and all-cause mortality in patients with stroke: Evidence from NHANES cohort study.

BACKGROUND AND AIMS: The inflammatory nutritional status is widely associated with the long-term prognosis of non-fatal stroke. The objective of this study is to examine the correlation between the C-reactive protein to albumin ratio (CAR), a new marker indicating both inflammatory and nutritional status, and the overall mortality rate among stroke patients. METHODS AND RESULTS: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database and corresponding public-use mortality data from the linked National Death Index (NDI). The study utilized maximally selected rank statistics to determine the optimal cutoff points for the CAR. Subsequently, participants were stratified into higher- and lower-CAR groups based on these cutoff points. The Kaplan-Meier survival method was used to study overall survival probability. Multivariable Cox proportional regression models were employed to calculate the Hazard Ratio (HR) and corresponding confidence interval (CI). Restricted cubic spline (RCS) model was applied to detect potential non-linear relationship between CAR and mortality risk. Furthermore, stratified and sensitive analyses were performed to examine the robustness and reliability of the results. The study, encompassing 1043 participants with an average age of 64.61 years, identified a cutoff value of 0.32 for CAR, with notable variances observed across gender and age cohorts. Over an average follow-up period of 116 months, 679 instances of all-cause mortality were documented. Kaplan-Meier survival analysis unveiled noteworthy disparities in survival probabilities between groups categorized by high and low CAR levels (p = 0.00081). Continuous CAR analysis consistently demonstrated a positive correlation between elevated CAR values and heightened risk (HR = 1.78 (1.36, 2.33)) of all-cause mortality among stroke patients. Similarly, individuals in the high CAR group exhibited adjusted HR of 1.34 (0.96, 1.89) for all-cause mortality compared to their low CAR counterparts. Subgroup and sensitive analysis consistently reinforced these findings. Smoothing curve fitting further validated CAR's significance as a prognostic indicator of all-cause mortality, indicating a linear relationship. CONCLUSION: Elevated CAR is associated with increased long-term risk of mortality for individuals who have experienced a stroke, suggesting that CAR could serve as a survival indicator.

Suicides, Other External Causes of Death, and Psychiatric Status in Suicide Attempters: A National Registry-Based Analysis in Israel, 2006-2020.

OBJECTIVE: To assess risk factors and rates of suicide and other external cause deaths, among suicide attempters compared to the total population, stratified by psychiatric hospitalization discharge and mental diagnosis. METHODS: A national registry-based analysis of suicide and external cause mortality was performed among suicide attempters between 2006 and 2020 in Israel in the National Hospital ED database. Data was stratified by psychiatric hospitalization status by linking to the national psychiatric case registry. Age adjusted mortality rates were calculated.A multivariate cox regression model assessed the relative risk of demographic factors and psychiatric diagnosis and hospitalization on outcomes. RESULTS: Among 57,579 first suicide attempters, of whom 16,874 had a psychiatric hospitalization, there were 853 suicides (1.5%) and 473 deaths from other external causes (0.8%), 485 suicides (2.9%) and 199 external cause deaths (1.2%) in the psychiatric group. Suicide risk was highest in the year after the attempt, but continued throughout the study, particularly in the psychiatric hospitalized group. Suicide rates within one year of first suicide attempt were 137 (95% CI 122-152) times higher than the total population, 190 (155-233) times in females and 128 (112-145) times in males, 178 (153-207), 243 (181-325) and 158 (132-190) times higher, respectively, in those with a psychiatric hospitalization. CONCLUSIONS: We found a greatly increased risk for suicide and significant increase for other external causes of death amongst a cohort of suicide attempters, compared to the total population, particularly those with a history of psychiatric hospitalization.

Past suicide attempters might have much higher risk for suicide than already known.Their risk for death by other external causes is also significantly higher.Having past suicide attempts and psychiatric admissions leads to highest risk.

Associations of serum carotenoids with all-cause and cardiovascular mortality in adults with MAFLD.

BACKGROUND AND AIMS: The associations between serum carotenoids and mortality are contradictory in various metabolic-associated diseases. This study aimed to examine the associations of five major serum carotenoids with mortality among adults with metabolic dysfunction-associated fatty liver disease (MAFLD). METHODS AND RESULTS: This analysis included 3040 individuals with MAFLD from the Third National Health and Nutrition Examination Survey (NHANES III). All-cause and cardiovascular mortality were ascertained by linkage to the National Death Index through December 31, 2019. Cox proportional hazards regression models were employed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), and restricted cubic spline (RCS) analyses were performed to assess the linearity of the associations. During a follow-up period of 826,547 person-years, 1325 all-cause and 429 cardiovascular deaths occurred. For all-cause mortality, compared with those in the lowest quartiles, the multivariable-adjusted HRs (95% CIs) in the highest quartiles were 0.63 (0.49-0.81) for α-carotene; 0.65 (0.52-0.80) for ß-carotene; 0.64 (0.51-0.81) for ß-cryptoxanthin; 0.73 (0.56-0.95) for lycopene; and 0.69 (0.52-0.91) for lutein/zeaxanthin. For cardiovascular mortality, the multivariable-adjusted HRs (95% CIs) in the highest quartiles were 0.51 (0.33-0.78) for α-carotene; 0.54 (0.35-0.82) for ß-carotene; 0.52 (0.34-0.80) for ß-cryptoxanthin; 0.63 (0.44-0.90) for lycopene; and 0.62 (0.39-0.99) for lutein/zeaxanthin. Besides, serum α-carotene, ß-cryptoxanthin, and lycopene exhibited linear correlations with all-cause mortality in MAFLD adults, and four serum carotenoids, except ß-carotene, were linearly correlated with cardiovascular mortality. CONCLUSIONS: Lower serum α-carotene, ß-carotene, ß-cryptoxanthin, lycopene, and lutein/zeaxanthin concentrations were associated with higher risk of all-cause and cardiovascular mortality in US adults with MAFLD.

Association of serum 25-hydroxyvitamin D with cardiovascular and all-cause mortality in patients with chronic kidney disease: NHANES 2007‒2018 results.

BACKGROUND: Vitamin D insufficiency is a prevalent issue in patients suffering from CKD. The purpose of this study was to determine whether serum 25(OH)D levels are associated with all-cause and cardiovascular mortality in patients with CKD. METHODS: To examine the associations between 25(OH)D levels and cardiovascular mortality, this retrospective cohort study used the National Health and Nutrition Examination Survey (NHANES) and the National Death Index (NDI) 2007‒2018 database. A total of 2,668 eligible subjects were included in this study, with follow-up conducted until December 31, 2019. The associations were assessed using Cox proportional hazards regression, restricted cubic splines, Kaplan-Meier survival curves, and competing risks survival analysis. Furthermore, subgroup and sensitivity analyses were performed. RESULTS: During a median follow-up of 72 months in a weighted population of 11,715,452 eligible participants, there were 665 deaths from any cause, including 196 cardiovascular-related deaths. After adjusting for covariates, lower levels of 25(OH)D were significantly associated with increased risks for both all-cause mortality (HR= 0.85, 95 % CI 0.77∼0.94) and cardiovascular mortality (SHR= 0.80, 95 % CI 0.67∼0.94). Consistent results were also observed when analyzing 25(OH)D as a categorical variable (quartile). Compared to group Q1, both group Q3 (HR = 0.71, 95 % CI 0.54‒0.93) and group Q4 (HR = 0.72, 95 % CI 0.55‒0.94) exhibited a significantly reduced mortality risk. Weighted restricted cubic splines revealed an inverse J-shaped linear association between levels of 25(OH) D and all-cause mortality ((PNonliner > 0.05). Subgroup analysis and sensitivity analysis yielded similar findings. CONCLUSIONS: All-cause mortality and cardiovascular disease-related mortality were significantly increased by lower 25(OH)D levels, both as continuous and categorical variables. 25(OH)D has an inverse J-shaped linear association with all-cause and cardiovascular mortality.

Device-measured sedentary time and intensity-specific physical activity in relation to all-cause and cardiovascular disease mortality: the UK Biobank cohort study.

BACKGROUND AND AIMS: Understanding the amounts of intensity-specific movement needed to attenuate the association between sedentary time and mortality may help to inform personalized prescription and behavioral counselling. Herein, we examined the joint associations of sedentary time and intensity-specific physical activity with all-cause and cardiovascular disease (CVD) mortality. METHODS: Prospective cohort study including 73,729 adults from the UK Biobank who wore an Axivity AX3 accelerometer on their dominant wrist for at least 3 days, being one a weekend day, between June 2013 and December 2015. We considered the median tertile values of sedentary time and physical activity in each intensity band to determine the amount of physical activity needed to attenuate the association between sedentary time and mortality. RESULTS: During a median of 6.9 years of follow-up (628,807 person-years), we documented 1521 deaths, including 388 from CVD. Physical activity of any intensity attenuated the detrimental association of sedentary time with mortality. Overall, at least a median of 6 min/day of vigorous physical activity, 30 min/day of MVPA, 64 min/day of moderate physical activity, or 163 min/day of light physical activity (mutually-adjusted for other intensities) attenuated the association between sedentary time and mortality. High sedentary time was associated with higher risk of CVD mortality only among participants with low MVPA (HR 1.96; 95% CI 1.23 to 3.14). CONCLUSIONS: Different amounts of each physical activity intensity may attenuate the association between high sedentary time and mortality.

The association between ferritin levels and all-cause mortality in stroke patients.

Purpose: The purpose of study was to describe the association between ferritin and all-cause mortality of cases with stroke. Methods: Clinical data derived from Multiparameter Intelligent Monitoring in Intensive Care were analyzed. The primary endpoint was 30-day mortality. The potential prognostic roles of Ferritin L were analyzed by Cox proportional hazard models. The independent prognostic roles of Ferritin L in the cases were analyzed by smooth curve fitting. Results: Concerning 30-day mortality, the HR (95% CI) for a high Ferritin (≥373) was 1.925 (1.298, 2.854; p = 0.00113), compared to a low ferritin (< 373). After adjusting for multiple confounders, the HR (95% CI) for a high Ferritin (≥373) was 1.782 (1.126, 2.820; p = 0.01367), compared to a low Ferritin (< 373). A non-linear association between Ferritin and 30-day mortality was found. Using recursive algorithm and two-piecewise linear regression model, inflection point (IP) was calculated, which was 2,204. On the left side of the IP, there was a positive relationship between Ferritin and 30-day mortality, and the effect size, 95% CI and p value were 1.0006 (1.0004, 1.0009) p < 0.0001, respectively. On the right of the IP, the effect size, 95% CI and p value were 1.0000 (1.0000, 1.0000) and 0.3107, respectively. Conclusion: Ferritin was associated with increased risk of stroke; it is important to further examine the association if the increased uric acid would increase the outcome of stroke in a longitudinal study. The non-linear relationship between Ferritin and all-cause mortality of stroke was observed. Ferritin was a risk factor for the outcome of stroke when ferritin was <2204.

Enhancing predictive validity of motoric cognitive risk syndrome for incident dementia and all-cause mortality with handgrip strength: insights from a prospective cohort study.

Background: This study aimed to assess whether integrating handgrip strength (HGS) into the concept of motoric cognitive risk (MCR) would enhance its predictive validity for incident dementia and all-cause mortality. Methods: A cohort of 5, 899 adults from the Health and Retirement Study underwent assessments of gait speed, subjective cognitive complaints, and HGS were involved. Over a 10-year follow-up, biennial cognitive tests and mortality data were collected. Cox proportional hazard analyses assessed the predictive power of MCR alone and MCR plus HGS for incident dementia and all-cause mortality. Results: Patients with MCR and impaired HGS (MCR-HGS) showed the highest adjusted hazard ratios (AHR) for dementia (2.33; 95% CI, 1.49-3.65) and mortality (1.52; 95% CI, 1.07-2.17). Even patients with MCR and normal HGS (MCR-non-HGS) experienced a 1.77-fold increased risk of incident dementia; however, this association was not significant when adjusted for socioeconomic status, lifestyle factors, and medical conditions. Nevertheless, all MCR groups demonstrated increased risks of all-cause mortality. The inclusion of HGS in the MCR models significantly improved predictive discrimination for both incident dementia and all-cause mortality, as indicated by improvements in the C-statistic, integrated discrimination improvement (IDI) and net reclassification indices (NRI). Conclusion: Our study underscores the incremental predictive value of adding HGS to the MCR concept for estimating risks of adverse health outcomes among older adults. A modified MCR, incorporating HGS, could serve as an effective screening tool during national health examinations for identifying individuals at risk of dementia and mortality.