BACKGROUND:Abnormal blood potassium levels are associated with an increased risk of cardiometabolic diseases and mortality in the general population; however, evidence regarding the association between dyskalemia and mortality among patients with cardiovascular disease (CVD) remains inconclusive. This study aimed to evaluate the association of potassium levels with all-cause and cardiovascular mortality among patients with CVD.METHODS:PubMed, Embase, Web of Science, and Cochrane Library databases were searched up to August 2023 to identify relevant cohort studies among patients with CVD, such as myocardial infarction, stroke, and heart failure. Abnormal potassium levels were considered as hypokalemia or hyperkalemia. The primary outcomes were all-cause mortality based on follow-up length (including in-hospital, short-term and long-term mortality) and cardiovascular mortality. The methodological quality of included studies was assessed by using the Newcastle-Ottawa Scale. The pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated using random-effects models. Restricted cubic splines were applied to explore the dose-response relationship.RESULTS:Thirty-one cohort studies involving 227,645 participants with an average age of 68.3 years were included in the meta-analysis, all of which achieved moderate to high quality. Hyperkalemia was significantly associated with an approximately 3.0-fold increased risk of all-cause in-hospital mortality (RR:2.78,95CI%:1.92,4.03), 1.8-fold of all-cause short-term mortality (RR:1.80, 95CI%:1.44,2.27), 1.3-fold of all-cause long-term mortality (RR:1.33, 95CI%:1.19,1.48) and 1.2-fold of cardiovascular mortality (RR:1.19, 95CI%:1.04,1.36). Similar positive associations were also observed between hypokalemia and risk of all-cause mortality and cardiovascular mortality. The RRs of all-cause in-hospital, short-term, long-term mortality and cardiovascular mortality with hyperkalemia were attenuated to 2.21 (95CI%:1.60,3.06), 1.46(95CI%:1.25,1.71), 1.23 (95CI%:1.09,1.39) and 1.13 (95CI%:1.00,1.27) when treating hypokalemia together with normokalemia as the reference group. A U-shaped association was observed between potassium levels and mortality, with the lowest risk at around 4.2 mmol/L.CONCLUSIONS:Both hypokalemia and hyperkalemia were positively associated with the risk of mortality in patients with CVD. Our results support the importance of potassium homeostasis for improving the CVD management.REGISTRATION:PROSPERO, CRD42022324337.

Background & aims: Epidemiologic studies have examined the association between dietary fatty acids and type 2 diabetes risk in general populations. Evidence regarding their associations with gestational diabetes mellitus (GDM) risk remains limited. This study aimed to evaluate prepregnancy fatty acids intake in relation to GDM risk. Methods: 3,725 pregnant women from the Xi'an Birth Cohort Study who were free of previous GDM or pre-existing chronic diseases were included. Dietary intake of total fat and individual fatty acids (including saturated fatty acids [SFA], monounsaturated fatty acids [MUFA], polyunsaturated fatty acids [PUFA], and trans fatty acids) during the year preceding pregnancy was assessed by a validated foodfrequency questionnaire before 16 weeks of gestation. GDM was confirmed based on the 75-g oral glucose tolerance test. Log-binomial or modified Poisson regression models were applied to estimate the relative risks (RRs) and 95 % confidence intervals (95%CIs) of GDM for fatty acids intake. Generalized linear regression was adopted for blood glucose levels with fatty acids intake. Results: 644 (17.3 %) incident GDM cases were confirmed in our study. Participants in the highest intake of total fat substituting for carbohydrates had a 33 % reduced risk of GDM than those in the lowest intake (RR:0.67; 95%CI:0.55,0.81). For individual fatty acids, only PUFA intake was associated with a lower risk of GDM, with RR comparing extreme tertiles of 0.61 (95%CI:0.49,0.76). Each 2 % increase in energy from total fat and PUFA replacing carbohydrates decreased the risk of GDM by 6 % (95%CI:3 %,9 %) and 15 % (95%CI:9 %,21 %), respectively. Similar inverse associations with intake of total fat and PUFA were observed for blood glucose levels. Further analyses of SFA substitution showed that replacement of 2 % energy from SFA with PUFA and MUFA was associated with 26 % (RR:0.74; 95%CI:0.62,0.88) and 30 % (RR:0.70; 95%CI:0.50, 0.98) decreased risk of GDM, respectively. Conclusions: Greater intake of total fat and PUFA before pregnancy was associated with lower risk of GDM when replacing carbohydrates. Substitution SFA with PUFA and MUFA was also inversely associated with GDM risk. These findings support the important role of optimal dietary fatty acids composition in the prevention of GDM. (c) 2024 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

BackgroundThere is a lack of research evidence on the association between sugar-sweetened beverage (SSB) consumption and gestational diabetes mellitus (GDM) in China. ObjectiveTo explore the association between frequency of SSB consumption before pregnancy and risk of GDM in pregnant women in Shaanxi Province, and to provide a scientific basis for targeted interventions to control maternal blood glucose. MethodsThe recruitment to the China Birth Cohort study started in October 2020. Pregnant women at 6-16 weeks who had their first prenatal examination at five hospitals in Shaanxi Province were recruited. A maternal health questionnaire was used to collect basic information about pregnant women. A semi-quantitative food frequency questionnaire was used to collect the consumption of carbonated beverages, fruit and vegetable juice beverages, coffee beverages, and milk tea beverages in one year before pregnancy, which were summed to obtain the SSB consumption. Pregnant women were divided into three groups according to SSB consumption, namely <1 serving·week−1, 1-4 servings·week−1, and ≥5 servings·week−1. GDM was confirmed by oral glucose tolerance test (OGTT) between 24-28 weeks of gestation. A binary logistic regression model was applied to explore the association between SSB consumption and risk of GDM. Multiple linear regression was applied to investigate the associations between SSB consumption (per 1-serving·d−1 increase) and OGTT fasting plasma glucose, 1-hour glucose, and 2-hour glucose. ResultsA total of 3811 pregnant women were finally enrolled in this study, of which 752 developed GDM, with an incidence rate of 19.7%. The incidence rates of GDM in pregnant women with SSB consumption frequency of <1 serving·week−1, 1-4 servings·week−1, and ≥5 servings·week−1 were 18.0%, 21.1%, and 26.8%, respectively. After adjusting for maternal age, pre-pregnancy body mass index (BMI), education, number of children born, family history of diabetes, smoking, alcohol consumption, physical activity level, and total energy intake, the risk of GDM increased by 26% (OR=1.26, 95%CI: 1.05, 1.50) in the 1-4 servings·week−1 group and by 76% (OR=1.76, 95%CI: 1.31, 2.38) in the ≥5 servings·week−1 group compared to the <1 serving·week−1 SSB consumption group, respectively. Further stratified analysis revealed no interaction effect (Pinteraction>0.05) between SSB consumption and maternal age, pre-pregnancy BMI, or first labor or not. For each additional SSB consumption per day, the risk of GDM increased by 94% (OR=1.94, 95%CI: 1.37, 2.75); and the maternal OGTT 1-hour glucose and 2-hour glucose increased by 0.33 mmol·L−1 and 0.18 mmol·L−1, respectively (P<0.05), and no significant increase in fasting plasma glucose was found (P>0.05). ConclusionHigher SSB consumption before pregnancy increases the risk of GDM in pregnant women.

Epidemiological evidence on the association between potassium and cardiometabolic outcomes remains controversial. This study aimed to examine associations of dietary intake and blood and urinary levels of potassium with risk of type 2 diabetes, cardiovascular disease (CVD), and mortality. Relevant prospective studies were retrieved through a comprehensive search of four electronic databases up to July 1, 2023. Random-effects models were used to pool the study-specific relative risks (RRs) and 95% confidence intervals (CIs). Fifty-six studies were included in this meta-analysis. A higher intake of potassium was significantly associated with a 16% lower risk of CVD (RR: 0.84, 95% CI: 0.78-0.90). Similar inverse associations were also observed between potassium intake and mortality. Each 1.0 g/d increment in potassium intake was associated with a decreased risk of CVD (RR: 0.85, 95% CI: 0.80-0.91) and all-cause mortality (RR: 0.93, 95% CI: 0.88-0.99). For blood and urinary potassium levels, higher level of blood potassium increased the risk of all-cause mortality by 23% (RR: 1.23, 95% CI: 1.11-1.36). The association of blood potassium levels with mortality was nonlinear (Pnon-linearit<0.001). However, urinary potassium levels were inversely associated with the risk of all-cause mortality (RR: 0.84, 95% CI: 0.76-0.93). Our findings support the benefits of moderate potassium consumption for primary prevention of chronic diseases and premature death.

Background and Aims:Diabetes is associated with an increased risk of colon cancer (CC). Epidemiologic studies previously reported a higher risk for right-sided colon cancer (RCC) compare to left-sided colon cancer (LCC), although data are conflicting. We performed a meta-analysis to investigate this issue.Methods:We systematically searched the PubMed, EMBASE, Web of Science and Cochrane Library database for prospective cohort studies published up to June 2021. Studies were included if they reported site-specific estimates of the relative risk (RR) between diabetes and the risks of RCC and LCC. Random effects meta-analyses with inverse variance weighting were used to estimate the pooled site-specific RRs and the RCC-to-LCC ratio of RRs (RRRs).Results:Data from 10 prospective cohort studies, representing 1,642,823 individuals (mainly white) and 17,624 CC patients, were included in the analysis. Diabetes was associated with an increased risk of both RCC (RR =1.35, 95% CI = 1.24-1.47) and LCC (RR = 1.18, 95% CI = 1.08-1.28). After adjusting for major risk factors, individuals with diabetes had a greater risk for RCC than for LCC (RRR = 1.13, 95% CI = 1.02-1.26), with no significant heterogeneity between studies (I2 = 0%).Conclusions:This meta-analysis indicates that diabetes is associated with a higher risk for RCC than for LCC. Our findings suggest that colonoscopic surveillance in diabetic patients with careful examination of the right colon is warranted.