Cardiovascular Outcomes in Acute Coronary Syndrome and Malnutrition: A Meta-Analysis of Nutritional Assessment Tools

Background: There is emerging evidence that malnutrition is associated with poor prognosis among patients with acute coronary syndrome (ACS). // Objectives: This study seeks to elucidate the prognostic impact of malnutrition in patients with ACS and provide a quantitative review of most commonly used nutritional assessment tools. // Methods: Medline and Embase were searched for studies reporting outcomes in patients with malnutrition and ACS. Nutritional screening tools of interest included the Prognostic Nutrition Index, Geriatric Nutritional Risk Index, and Controlling Nutritional Status. A comparative meta-analysis was used to estimate the risk of all-cause mortality and cardiovascular events based on the presence of malnutrition and stratified according to ACS type, ACS intervention, ethnicity, and income. // Results: Thirty studies comprising 37,303 patients with ACS were included, of whom 33.5% had malnutrition. In the population with malnutrition, the pooled mortality rate was 20.59% (95% CI: 14.95%-27.67%). Malnutrition was significantly associated with all-cause mortality risk after adjusting for confounders including age and left ventricular ejection fraction (adjusted HR: 2.66, 95% CI: 1.78-3.96, P = 0.004). There was excess mortality in the group with malnutrition regardless of ACS type (P = 0.132), ethnicity (P = 0.245), and income status (P = 0.058). Subgroup analysis demonstrated no statistically significant difference in mortality risk between individuals with and without malnutrition (P = 0.499) when using Controlling Nutritional Status (OR: 7.80, 95% CI: 2.17-28.07, P = 0.011), Geriatric Nutritional Risk Index (OR: 4.30, 95% CI: 2.78-6.66, P < 0.001), and Prognostic Nutrition Index (OR: 4.67, 95% CI: 2.38-9.17, P = 0.023). // Conclusions: Malnutrition was significantly associated with all-cause mortality risk following ACS, regardless of ACS type, ethnicity, and income status, underscoring the importance of screening and interventional strategies for patients with malnutrition

Prognostic value of left atrial volume index in degenerative mitral stenosis

Purpose Degenerative mitral stenosis (DMS) is associated with a poor prognosis. Although mean transmitral gradient (TMG) has shown a good correlation with outcome, little is known about the association between other echocardiographic parameters and prognosis in patients with DMS. The current study aimed to evaluate the prognostic value of left atrial volume index (LAVI) in patients with DMS. Methods A total of 155 patients with DMS (72[63-80] years, 67% female) were included. The population was divided according to LAVI: normal-sized LAVI (LAVI 34 ml/m2). Results Patients with enlarged LAVI had a higher left ventricular mass index (120[96-146] vs. 91[70-112] g/m2 p Conclusion An enlarged LAVI (> 34 ml/m2) is significantly associated with excess mortality in patients with DMS. After adjusting for potential confounders, an enlarged LAVI was the only parameter that remained independently associated with prognosis.</p

Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019.

BackgroundMalnutrition and obesity are interdependent pathologies along the same spectrum. We examined global trends and projections of disability-adjusted life years (DALYs) and deaths from malnutrition and obesity until 2030.MethodsUsing data from the 2019 Global Burden of Disease study involving 204 countries and territories, trends in DALYs and deaths were described for obesity and malnutrition from 2000 to 2019, stratified by geographical regions (as defined by WHO) and Socio-Demographic Index (SDI). Malnutrition was defined according to the 10th revision of International Classification of Diseases codes for nutritional deficiencies, stratified by malnutrition type. Obesity was measured via body mass index (BMI) using metrics related to national and subnational estimates, defined as BMI ≥25 kg/m2. Countries were stratified into low, low-middle, middle, high-middle, and high SDI bands. Regression models were constructed to predict DALYs and mortality up to 2030. Association between age-standardised prevalence of the diseases and mortality was also assessed.FindingsIn 2019, age-standardised malnutrition-related DALYs was 680 (95% UI: 507-895) per 100,000 population. DALY rates decreased from 2000 to 2019 (-2.86% annually), projected to fall 8.4% from 2020 to 2030. Africa and low SDI countries observed highest malnutrition-related DALYs. Age-standardised obesity-related DALY estimates were 1933 (95% UI: 1277-2640). Obesity-related DALYs rose 0.48% annually from 2000 to 2019, predicted to increase by 39.8% from 2020 to 2030. Highest obesity-related DALYs were in Eastern Mediterranean and middle SDI countries.InterpretationThe ever-increasing obesity burden, on the backdrop of curbing the malnutrition burden, is predicted to rise further.FundingNone

Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis

BackgroundSelf-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear.ObjectiveThis study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity.MethodsRelevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1.ResultsA total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI -3.17 kg to -1.12 kg; P&lt;.001; I2=60.3%), waist circumference by 2.48 cm (95% CI -3.51 cm to -1.44 cm; P&lt;.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI -0.33 mg/dL to 0.11 mg/dL; P=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI -0.21 to -0.02; P=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI -182.67 kcal to -73.94 kcal; P=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss.ConclusionsCombined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app.Trial registrationPROSPERO CRD42022345133; https://tinyurl.com/2zxfdpay

Has the first year of the COVID pandemic impacted the trends in obesity-related CVD mortality between 1999 and 2019 in the United States?

Background During the covid-19 pandemic there was a marked rise in the number of cardiovascular deaths. Obesity is a well-known modifiable risk factor for cardiovascular disease and has been identified as a factor which leads to poorer covid-19 related outcomes. In this study we aimed to analyse the impact of covid-19 on obesity-related cardiovascular deaths compared to trends seen 20 years prior. We also analysed the influence different demographics had on mortality. Methods Multiple Cause of Mortality database was accessed through CDC WONDER to obtain the obesity-related and general cardiovascular crude mortality and age adjusted mortality rates (AMMR) between 1999 and 2020 in the US. The obesity-related sample was stratified by demographics and cardiovascular mortality was subdivided into ischemic heart disease, heart failure, hypertension and cerebrovascular disease. Joinpoint Regression Program (Version 4.9.1.0) was used to calculate the average annual percent change (AAPC) in AAMR, and hence projected AAMR. Excess mortality was calculated by comparing actual AAMR in 2020 to projected values. Results and discussion . There were an estimated 3058 excess deaths during the early stages of the pandemic impacting all cohorts. The greatest excess mortalities were seen in men, rural populations and in Asian/Pacific Islander and Native Americans. Interestingly the greatest overall mortality was seen in the Black American population. Our study highlights important, both pre and during the pandemic, in obesity related cardiovascular disease mortality which has important implications for ongoing public health measures

Trends in Cardiovascular Mortality Among Patients With Alzheimer's Disease in the United States from 1999 to 2020.

This study aimed to compare the trends in cardiovascular diseases (CVDs)-related mortality in patients with Alzheimer's disease (AD) and in the general population aged ≥65 years. Data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research Multiple Cause of Death dataset were used to determine national trends in age-adjusted CVD mortality rates (AAMR) and average annual percent change (AAPC) values in patients with AD and the overall population aged ≥65 years from 1999 to 2020. Data for AAMR and AAPCs were also stratified by age, gender, ethnicity/race, geographical region, urbanization status, and subgroups of CVD. Trends in the overall AAMR stratified by gender, age, ethnicity/race, geographical region, urbanization status, and CVD subgroups were statistically different between patients with AD and the overall population (overall AAPC for CVD mortality rate in patients with AD = -3.5% [confidence interval -4.1% to -2.9%] vs -2.6% [confidence interval -2.3% to -2.9%] in overall population, p = 0.01). Differences in the decrease in the mortality rates between patients with AD and the overall population were found to be statistically different across all stratifications except for the change in the mortality rates for hypertensive diseases (p = 0.05), females (p = 0.2), and Asian or Pacific Islanders (p = 0.09). In conclusion, CVD-related mortality in patients with AD decreased over the last 2 decades, and decreases were more prominent than seen in the general population aged ≥65 years. These results may help focus public health efforts to optimize CVD health in patients with AD

Continued demographic shifts in hospitalised patients with COVID-19 from migrant workers to a vulnerable and more elderly local population at risk of severe disease

Objectives: In the early months of the COVID-19 pandemic in Singapore, the vast majority of infected persons were migrant workers living in dormitories who had few medical comorbidities. In 2021, with the Delta and Omicron waves, this shifted to the more vulnerable, elderly population within the local community. We examined evolving trends among the hospitalised cases of COVID-19.Methods: All patients with polymerase chain reaction-positive SARS-CoV-2 admitted from February 2020 to October 2021 were included and subsequently stratified by their year of admission (2020 or 2021). We compared the baseline clinical characteristics, clinical course, and outcomes.Results: A majority of cases were seen in 2020 (n = 1359), compared with 2021 (n = 422), due to the large outbreaks in migrant worker dormitories. Nevertheless, the greater proportion of locally transmitted cases outside of dormitories in 2021 (78.7% vs 12.3%) meant a significantly older population with more medical comorbidities had COVID-19. This led to an observably higher proportion of patients with severe disease presenting with raised inflammatory markers, need for therapeutics, supplemental oxygenation, and higher mortality.Conclusion: Changing demographics and the characteristics of the exposed populations are associated with distinct differences in clinical presentation and outcomes. Older age remained consistently associated with adverse outcomes

Social disparities in cardiovascular mortality of patients with cancer in the USA between 1999 and 2019

BackgroundTemporal trends of the impact of social determinants on cardiovascular outcomes of cancer patients has not been previously studied. ObjectivesThis study examined social disparities in cardiovascular mortality of people with and without cancer in the US population between 1999 and 2019. MethodsPrimary cardiovascular deaths were identified from the Multiple Cause of Death database and grouped by cancer status. The cancer cohort was subcategorized into breast, lung, prostate, colorectal, and haematological. The number of cardiovascular deaths, crude cardiovascular mortality rate, cardiovascular age-adjusted mortality rate (AAMR), and percentage change in cardiovascular AAMR were calculated by cancer status and cancer type, and stratified by sex, race, ethnicity, and urban-rural setting. Results17.9 million cardiovascular deaths were analysed. Of these, 572,222 occurred in patients with a record of cancer. The cancer cohort were older and included more men and White racial groups. Regardless of cancer status, cardiovascular AAMR was higher in men, rural settings, and Black or African American races. Cardiovascular AAMR declined over time, with greater reduction in those with cancer (−51.6% vs −38.3%); the greatest reductions were in colorectal (−68.4%), prostate (−60.0%), and breast (−58.8%) cancers. Sex, race, and ethnic disparities reduced over time, with greater narrowing in the cancer cohort. There was increase in urban-rural disparities, which appeared greater in those with cancer. ConclusionsWhile most social disparities narrowed over time, urban-rural disparities widened, with greater increase in those with cancer. Healthcare plans should incorporate strategies for reduction of health inequality equitable access to cardio-oncology services

General Public's knowledge, awareness, and perception of Cardiometabolic diseases: data from a Singapore study population

10.3389/fmed.2023.1193829FRONTIERS IN MEDICINE1

Inflammatory phenotypes may be more important than age and comorbidities in predicting clinical outcomes in hospitalised patients with COVID-19

10.1016/j.ijregi.2023.06.003IJID Region