Trends and predictions of metabolic risk factors for acute myocardial infarction: findings from a multiethnic nationwide cohort.

Background: Understanding the trajectories of metabolic risk factors for acute myocardial infarction (AMI) is necessary for healthcare policymaking. We estimated future projections of the incidence of metabolic diseases in a multi-ethnic population with AMI. Methods: The incidence and mortality contributed by metabolic risk factors in the population with AMI (diabetes mellitus [T2DM], hypertension, hyperlipidemia, overweight/obesity, active/previous smokers) were projected up to year 2050, using linear and Poisson regression models based on the Singapore Myocardial Infarction Registry from 2007 to 2018. Forecast analysis was stratified based on age, sex and ethnicity. Findings: From 2025 to 2050, the incidence of AMI is predicted to rise by 194.4% from 482 to 1418 per 100,000 population. The largest percentage increase in metabolic risk factors within the population with AMI is projected to be overweight/obesity (880.0% increase), followed by hypertension (248.7% increase), T2DM (215.7% increase), hyperlipidemia (205.0% increase), and active/previous smoking (164.8% increase). The number of AMI-related deaths is expected to increase by 294.7% in individuals with overweight/obesity, while mortality is predicted to decrease by 11.7% in hyperlipidemia, 29.9% in hypertension, 32.7% in T2DM and 49.6% in active/previous smokers, from 2025 to 2050. Compared with Chinese individuals, Indian and Malay individuals bear a disproportionate burden of overweight/obesity incidence and AMI-related mortality. Interpretation: The incidence of AMI is projected to continue rising in the coming decades. Overweight/obesity will emerge as fastest-growing metabolic risk factor and the leading risk factor for AMI-related mortality. Funding: This research was supported by the NUHS Seed Fund (NUHSRO/2022/058/RO5+6/Seed-Mar/03) and National Medical Research Council Research Training Fellowship (MOH-001131). The SMIR is a national, ministry-funded registry run by the National Registry of Diseases Office and funded by the Ministry of Health, Singapore.

Effect of Surgical Mask use on Peak Physical Performance During Exercise Treadmill Testing-A Real World, Crossover Study.

Background: Mask wearing is an essential strategy to combat the spread of SARS-CoV-2. Some individuals may wear masks during physical activity to reduce disease transmission. This study aimed to investigate the real-world effect of wearing a surgical face mask on physiological parameters at peak exercise in healthy individuals. Methods: In this crossover design study, participants underwent maximal treadmill electrocardiogram exercise tests using the Bruce protocol on two separate occasions, once with a standard 3-ply surgical face mask and once without. Heart rate, oxygen saturation, blood pressure, rate pressure product, metabolic equivalents (METS) and total exercise time were measured. Subjective rate of perceived exertion was also assessed using the modified Borg Scale. Results: 50 adults (mean age = 31.7 ± 6.5 years; 27 males) completed both treadmill tests. Mask wearing resulted in a significant reduction in peak METS by 1.5 units, maximum speed by 0.5 km/h, exercise time by 68.4 s with a significantly lower peak heart rate by 4.4 bpm, and lower percentage of age-predicted maximum heart rate by 2.5% (p < 0.001 for all parameters). During each corresponding stage of the Bruce protocol, the average modified Borg score was found to be significantly higher in subjects exercising with mask after adjusting for age, gender and body mass index (p < 0.03). Conclusion: In a cohort of healthy individuals, wearing of a surgical face mask during maximal treadmill exercise lead to reduced physical performance and increased rate of perceived exertion. Individuals exercising with surgical masks need to be mindful of these limitations while undergoing physical training in order to differentiate these physiological responses from symptoms of early respiratory illness.

Abnormal screening chest radiograph in a 21-year-old male.

CLINICAL INTRODUCTION: A 21-year-old male with a medical history of scoliosis was referred for an abnormal chest radiograph performed on screening (figure 1). He was asymptomatic with good exercise tolerance. Blood pressure and heart rate were normal. The heart sounds were normal. The pulmonary examination was unremarkable. A treadmill test performed 3 years prior for atypical chest pain was normal. An ECG performed was also normal. QUESTION: What abnormality is present in the chest radiograph? DextrocardiaEnlarged right heart borderMediastinal massProminent pulmonary vasculatureSitus inversus.

Sleep apnoea is a risk factor for acute kidney injury after coronary artery bypass grafting.

OBJECTIVES: Acute kidney injury (AKI) is a common complication in patients who undergo coronary artery bypass grafting (CABG). Sleep apnoea is associated with sympathetic activation, inflammatory reaction and plaque burden. The possible status of sleep apnoea as a risk factor for AKI after CABG has not been studied. METHODS: We recruited 169 patients for an overnight sleep study using a Food and Drug Administration-approved portable device before they underwent elective CABG. AKI after CABG was defined as a relative increase of greater than 25% or an absolute increase of greater than 0.5 mg/dl in the serum creatinine level from baseline within 5 days after CABG. A generalized structural equation model (gSEM) was then applied to ascertain whether sleep apnoea, defined as an Apnoea-Hypopnoea index (AHI) of 15 or higher, was associated with AKI after CABG after adjusting for the effects of confounding variables. RESULTS: Of the 150 patients (88.8%) who completed the study, the incidence of AKI after CABG was 22.7%. The mean AHI was higher in the AKI group (27.4 ± 19.8) than that in the non-AKI group (18.3 ± 16.5; P < 0.01). The prevalence of sleep apnoea was higher in the AKI group (64.7%) than that in the non-AKI group (45.7%; P = 0.05). The patients in the AKI group were older (P < 0.01) and shorter (P = 0.03) and had higher systolic blood pressures (P = 0.01), greater waist circumferences (P = 0.04) and larger left atrial diameters (P < 0.01) than those in the non-AKI group. The patients in the AKI group had higher serum haemoglobin levels (P = 0.04) and lower glucose levels (P < 0.01) than those in the non-AKI group. A gSEM based on binomial distributions showed that sleep apnoea was an independent predictor of AKI after CABG (adjusted odds ratio, 2.89; confidence interval, 1.09-7.09; P = 0.03) after adjustment for the effects of haemoglobin, glucose levels, the left atrial diameter and systolic blood pressure. CONCLUSIONS: Sleep apnoea is prevalent and is associated with AKI after CABG. The data presented here provide the first insights into the potential of treating sleep apnoea to attenuate the risk of AKI after CABG.