Background and Purpose—: Chronic kidney disease may increase the risk for ischemic stroke or systemic embolism in patients with nonvalular atrial fibrillation (AF). We conducted a meta-analysis to summarize all published studies to investigate the link between chronic kidney disease and risk of thromboembolic events in AF. Methods—: We performed a literature search using MEDLINE (source PubMed, 1966 to July, 2014) and EMBASE (1980 to July 2014) with no restrictions. Pooled effect estimates were obtained by using random-effects meta-analysis. Results—: Eighteen studies involving 538 479 patients and 41 719 incident thromboembolic events were identified. From the pooled analysis, AF patients with estimated glomerular filtration rate <60 mL/min compared with those with estimated glomerular filtration rate ≥60 mL/min experienced a significantly increased risk for developing thromboembolic events (relative risk, 1.62 [95% confidence interval, 1.40–1.87; P <0.001]). The annual rate of thromboembolic events increased by 0.41% (95% confidence interval, 0.17%–0.65%) for a 10 mL/min decrease in renal function. Addition of renal impairment to CHADS ₂ slightly improved the stroke risk stratification. Conclusions—: Impaired renal function is an independent predictor of stroke or systemic embolism in patients with nonvalvular AF. Consideration of renal function may improve stroke risk stratification in patients with AF.

Background: Atrial fibrillation (AF) is a prevalent arrhythmic condition resulting in increased stroke risk and is associated with high mortality. Electrolyte imbalance can increase the risk of AF, where the relationship between AF and serum electrolytes remains unclear. Methods: A total of 15,792 individuals were included in the observational study, with incident AF ascertainment in the Atherosclerosis Risk in Communities (ARIC) study. The Cox regression models were applied to calculate the hazard ratio (HR) and 95% confidence interval (CI) for AF based on different serum electrolyte levels. Mendelian randomization (MR) analyses were performed to examine the causal association. Results: In observational study, after a median 19.7 years of follow-up, a total of 2551 developed AF. After full adjustment, participants with serum potassium below the 5th percentile had a higher risk of AF relative to participants in the middle quintile. Serum magnesium was also inversely associated with the risk of AF. An increased incidence of AF was identified in individuals with higher serum phosphate percentiles. Serum calcium levels were not related to AF risk. Moreover, MR analysis indicated that genetically predicted serum electrolyte levels were not causally associated with AF risk. The odds ratio for AF were 0.999 for potassium, 1.044 for magnesium, 0.728 for phosphate, and 0.979 for calcium, respectively. Conclusions: Serum electrolyte disorders such as hypokalemia, hypomagnesemia and hyperphosphatemia were associated with an increased risk of AF and may also serve to be prognostic factors. However, the present study did not support serum electrolytes as causal mediators for AF development.

Introduction: Different studies provide conflicting evidence regarding the potential for glucocorticoids (GCs) to increase the risk of cardiovascular diseases. This study performed a systematic review and meta-analysis to determine the correlation between GCs and cardiovascular risk, including major adverse cardiovascular events (MACE), death from any cause, coronary heart disease (CHD), heart failure (HF), and stroke.Methods: We performed a comprehensive search in PubMed and Embase (from inception to June 1, 2022). Studies that reported relative risk (RR) estimates with 95% confidence intervals (CIs) for the associations of interest were included.Results: A total of 43 studies with 15,572,512 subjects were included. Patients taking GCs had a higher risk of MACE (RR = 1.27, 95% CI: 1.15–1.40), CHD (RR = 1.25, 95% CI: 1.11–1.41), and HF (RR = 1.92, 95% CI: 1.51–2.45). The MACE risk increased by 10% (95% CI: 6%–15%) for each additional gram of GCs cumulative dose or by 63% (95% CI: 46%–83%) for an additional 10 μg daily dose. The subgroup analysis suggested that not inhaled GCs and current GCs use were associated with increasing MACE risk. Similarly, GCs were linked to an increase in absolute MACE risk of 13.94 (95% CI: 10.29–17.58) cases per 1,000 person-years.Conclusions: Administration of GCs is possibly related with increased risk for MACE, CHD, and HF but not increased all-cause death or stroke. Furthermore, it seems that the risk of MACE increased with increasing cumulative or daily dose of GCs.

Our understanding of the weight-outcome association mainly comes from single-time body mass index (BMI) measurement. However, data on long-term trajectories of within-person changes in BMI on diverse study outcomes are sparse. Therefore, this study is to determine the associations of individual BMI trajectories and cardiovascular outcomes. The present analysis was based on data from 4 large prospective cohorts and restricted to participants aged ≥45 years with at least two BMI measurements. Hazard ratios (HR) and 95% confidence intervals(95%CI) for each outcome according to different BMI trajectories were calculated in Cox regression models. The final sample comprised 29,311 individuals (mean age 58.31 years, and 77.31% were white), with a median 4 BMI measurements used in this study. During a median follow-up of 21.16 years, there were a total of 10,192 major adverse cardiovascular events (MACE) and 11,589 deaths. A U-shaped relation was seen with all study outcomes. Compared with maintaining stable weight, the multivariate adjusted HR for MACE were 1.53 (95%CI 1.40–1.66), 1.26 (95%CI 1.16–1.37) and 1.08 (95%CI 1.02–1.15) respectively for rapid, moderate and slow weight loss; 1.01 (95%CI 0.95–1.07), 1.13 (95%CI 1.05–1.21) and 1.29 (95%CI 1.20–1.40) respectively for slow, moderate and rapid weight gain. Identical patterns of association were observed for all other outcomes. The development of BMI differed markedly between the outcome-free individuals and those who went on to experience adverse events, generally beginning to diverge 10 years before the occurrence of the events. Our findings may signal an underlying high-risk population and inspire future studies on weight management. National Natural Science Foundation of China, Guangdong Natural Science Foundation.

Background: Lung function is constantly changing over the life course. Although the relation of cross-sectional lung function measure and adverse outcomes has been reported, data on longitudinal change and subsequent cardiovascular (CV) events risks are scarce. Therefore, this study is to determine the association of longitudinal change in lung function and subsequent cardiovascular risks. Methods: This study analyzed the data from four prospective cohorts. Subjects with at least two lung function tests were included. We calculated the rate of forced respiratory volume in 1 s (FEV1) and forced vital capacity (FVC) decline for each subject and categorized them into quartiles. The primary outcome was CV events, defined as a composite of coronary heart disease (CHD), chronic heart failure (CHF), stroke, and any CV death. Cox proportional hazards regression and restricted cubic spline models were applied. Results: The final sample comprised 12,899 participants (mean age 48.58 years; 43.61% male). Following an average of 14.79 (10.69) years, 3950 CV events occurred. Compared with the highest FEV1 quartile (Q4), the multivariable HRs for the lowest (Q1), 2nd (Q2), and 3rd quartiles (Q3) were 1.33 (95%CI 1.19, 1.49), 1.30 (1.16, 1.46), and 1.07 (0.95, 1.21), respectively. Likewise, compared with the reference quartile (Q4), the group that experienced a faster decline in FVC had higher HRs for CV events (1.06 [95%CI 0.94–1.20] for Q3, 1.15 [1.02–1.30] for Q2, and 1.28 [1.14–1.44] for Q1). The association remained robust across a series of sensitivity analyses and nearly all subgroups but was more evident in subjects < 60 years. Conclusions: We observed a monotonic increase in risks of CV events with a faster decline in FEV1 and FVC. These findings emphasize the value of periodic evaluation of lung function and open new opportunities for disease prevention.

Background: Atrial fibrillation (AF) significantly increases the ischemic stroke risk. However, the relationship between age at diagnosis of AF and subsequent stroke risk remains poorly understood. Methods and Results: We analyzed data from 5 prospective cohorts: ARIC (Atherosclerosis Risk in Communities) study, CHS (Cardiovascular Health Study), CARDIA (Coronary Artery Risk Development in Young Adults), MESA (Multi‐Ethnic Study of Atherosclerosis), and Framingham Heart Study (including Offspring cohort and the Third‐Generation cohorts). Cox regression models and competing risk survival analyses were used to assess incidence rates and hazard ratios (HRs) for ischemic stroke stratified by age groups. Among 47 239 participants (median follow‐up: 21.1 years), 6689 (14.2%) developed AF, and 536 (8.0%) subsequently experienced ischemic stroke. Younger age at AF diagnosis was significantly associated with a higher ischemic stroke risk. Fully adjusted HRs for ischemic stroke were 5.35 (95% CI, 3.56–8.03), 2.99 (95% CI, 2.32–3.86), 2.13 (95% CI, 1.75–2.58), and 1.93 (95% CI, 1.59–2.34) for AF diagnosed at ages 55, 65, 75, and 85, respectively. Compared with participants without AF at age 55, HRs for ischemic stroke were 7.30 (95% CI, 3.27–16.31) for AF diagnosed >10 years earlier, 4.98 (95% CI, 2.99–8.29) for 6 to 10 years earlier, and 4.60 (95% CI, 1.48–14.34) for ≤5 years earlier ( P ‐trend <0.001). The presence of AF yielded a 13.9 years earlier occurrence of ischemic stroke among those with AF diagnosis at 55 years compared with 1.5 years earlier at age 85. Conclusions: Younger age at AF diagnosis was associated with a higher risk of subsequent ischemic stroke.