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Abstract Background Older people with hypertension may have more complex multisystem problems and a higher risk of morbidity and mortality. We aimed to examine the association of cognitive impairment (CI) and diabetes mellitus (DM) on all-cause mortality in the aged with hypertension (HTN). Methods This is a prospective cohort study with a sample of 1017 older people with hypertension aged 60 years or older who completed baseline examinations in 2009–2010 and followed up for ten years in 2020. The endpoint was death from any cause. Subjects were categorized as HTN only, HTN + DM, HTN + CI, and HTN + DM + CI. Cox regression model was used to determine the association of comorbidities on all-cause mortality. Results During the 10-year follow-up period, 196 deaths occurred. After adjusted for covariates, risk of death from any cause was significantly increased in the older people with increased comorbidities (P = 0.003). Compared with the HTN only, with HTN + CI, and HTN + DM + CI, the HRs (95% confidence intervals) for all-cause mortality were 1.61(1.13–2.30) and 1.79(1.07–2.99), respectively. In stratified analyses, the relationship between comorbidities level and the risk of all-cause mortality persisted. Conclusion All-cause mortality risks increased with increasing the comorbidities. This study emphasizes the importance of comprehensive management of the older people with HTN in clinical practice and public health policy.

Abstract Background Abdominal obesity (AO) has been regarded as the most dangerous type of obesity. The Conicity-index (C-index) had a high ability to discriminate underlying AO. The purpose of this study was to determine the ability of C-index to predict all-cause mortality among non-cancer Chinese older people. Methods The participants were residents of the Wanshou Road community in Beijing, China. Receiver operating curve (ROC) curves were used to determine the sensitivity and specificity of the best cut-off values for different anthropometric measures for predicting all-cause mortality. The area under the curve (AUC) of the ROC curves were calculated to compare the relative ability of various anthropometric measures to correctly identify older people in the community where all-cause mortality occurs. Included subjects were grouped according to C-index tertiles. The association between C-index and all-cause mortality was verified using Kaplan–Meier survival analysis and different Cox regression models. Results During a mean follow-up period of 9.87 years, 1821 subjects completed follow-up. The average age was 71.21 years, of which 59.4% were female. The ROC curve results showed that the AUC of the C-index in predicting all-cause mortality was 0.633. Kaplan–Meier survival curves showed a clear dose–response relationship between C-index and all-cause mortality. With the increase of C-index, the survival rate of the study population showed a significant downward trend (P

Abstract Background In patients with diabetes and hypertension, proteinuria is independently associated with all-cause death. However, in the general population, urinary albumin to creatinine ratio (UACR) is less used to predict all-cause mortality. When the urinary albumin to creatinine ratio is within the normal range (UACR 30 mg/g). We used Kaplan-Meier survival analysis and Cox regression model to verify the relationship between UACR and all-cause mortality. Results At an average follow-up of 9.87 years (718,407.3 years), the total mortality rate were 183.4/1000. In the Cox proportional hazards model, after adjusting for possible confounders, those with normal high-value UACR (group 2) showed a higher all-cause mortality than those with normal low-value UACR (group 1) [hazard ratio (HR) 1.289, 95% confidence interval (CI) 1.002 ~ 1.659 for all-cause mortality]. Those with proteinuria (group 3) showed a higher all-cause mortality than those with normal low-value UACR (group 1) [hazard ratio (HR) 1.394, 95% confidence interval (CI) 1.020 ~ 1.905 for all-cause mortality]. Conclusion Urinary albumin to creatinine ratio is an important risk factor for all-cause death in community population. Even if it is within the normal range (UACR

Abstract Background This study aimed to assess the relationship of a new anthropometric index with left ventricular hypertrophy (LVH) in hypertensive patients among the Han Chinese. Methods The study is a community-based cross-sectional study that included 4639 patients with hypertension and integrated clinical and echocardiographic data. Left ventricular (LV) mass was measured by transthoracic echocardiography. LVH was diagnosed by using the criteria of left ventricular mass indexed (LVMI) over 49.2 g/m2.7 for men and 46.7 g/m2.7 for women. Quartiles of a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), and body mass index (BMI) were used regarding LVH prevalence. The logistic regression model was used to determine the odds ratio (OR) and 95% confidence intervals (CI) of the new anthropometric index and LVH. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive ability of the obesity indices for LVH risk. Results The prevalence of LVH increased across quartiles for ABSI, BRI, BMI, and WC. Comparing the lowest with the highest quartile, adjusted OR (95% CI) for LVH were significantly different for BRI 3.86 (3.12–4.77), BMI 3.54 (2.90–4.31), and WC 2.29 (1.88–2.78). No association was observed for ABSI. According to ROC analysis, the area under the curve (AUC) of BRI was (AUC: 0.653, 95% CI 0.637–0.669), BMI (AUC: 0.628, 95% CI 0.612–0.644), WC (AUC: 0.576, 95% CI 0.559–0.593), ABSI (AUC: 0.499, 95% CI 0.482–0.516). Conclusions This study shows that LVH prevalence increased per quartile across the Han Chinese population with hypertension for ABSI, BRI, BMI, and WC. There is a significant association between BRI and LVH in hypertensive people, while ABSI was not. BRI showed potential for use as an alternative obesity measure in the assessment of LVH.

Abstract Background The Mini-Mental State Examination (MMSE) is the most widely used instrument to test cognitive functioning. The present study prospectively investigated the association between MMSE scores, MMSE domains, and all-cause mortality. Methods A total of 2134 participants aged 60 years or over, selected from one urban community-dwelling population in China, were enrolled in the study. The cognitive test was performed by use of the MMSE at baseline, and covariates were recorded simultaneously. Cox regression models were used for examining the cognitive function, expressed by different MMSE transformations, and all-cause mortality. After followed up for a median of 10.8 years (ranging from 1.0 to 11.3 years), loss to follow-up was 13.1% and 1854 individuals were finally included in the analyses. Results The subjects had the mean (SD) age of 71.01 (7.00) years, and 754 (40.67%) of them were women. Per point increase on MMSE scores was associated a 4% decreased risk of all-cause mortality [hazard ratio (HR): 0.96; 95%confidence interval (CI): 0.93–0.98]; compared to MMSE scores of ≥24, MMSE scores of