Association between Body Mass Index and Risk of Aortic Stenosis in Women
Kontogeorgos, S.; Rosengren, A.; Zverkova Sandström, T.; Fu, M.; Lindgren, M.; Basic, C.; Svanvik, M. T.; Djekic, D.; Thunstrom, E. P.
Show abstract
BackgroundOverweight and obesity are increasing globally, as are life expectancy and disorders associated with aging, including calcific aortic stenosis (AS). Studies investigating the correlation between high body mass index (BMI) and AS are contradictory and inconclusive. This study examines a potential association between BMI and early AS in women. MethodsBy linking the Swedish Medical Birth Register (MBR) and the Swedish National Patient Register (NPR), we included women between 18 and 55 years with a first childbirth from 1982 to 2020. Diagnosis of subsequent AS and comorbidities were defined according to the International Classification of Diseases (ICD) 8, 9, and 10 codes. The women were divided into eight groups based on their BMI, with BMI 20 kg/m2-<22.5 kg/m2 as reference. Cox proportional hazards regression models were used to investigate the difference in the risk of being diagnosed with AS. ResultsThe mean age at inclusion among 1,722,798 women was 28 years, and the mean BMI was 24 kg/m2. Some 21% were overweight (BMI 30 kg/m2-<35 kg/m2) and 10.7% were obese (BMI[≥]35 kg/m2). During a median follow-up of 19.5 years, 2,513 women (0.15%) were diagnosed with AS. The age-adjusted risk of being diagnosed with AS, compared to a reference group with BMI 20 -<22.5 kg/m2, increased with higher BMI to 2.8 (95%CI 2.43-3.24) times higher in women with BMI 30 -<35 kg/m2, and to 3.67 (95%CI 2.91-4.64) times higher in those with severe obesity (BMI [≥]35 kg/m2). Similar results were found after excluding AS of rheumatic and congenital etiology. ConclusionsHigher BMI correlated with a higher risk of developing AS in women, regardless of etiology, beginning with increased risk even within the upper normal range, reaching a three times higher risk in women with severe obesity. Clinical perspectiveWhat is new? O_LIThis study investigates a subpopulation seldom included in valvular heart diseases studies, younger women, showing that women with overweight and obesity have approximately three times higher risk to be diagnosed with AS. C_LIO_LIEven women in the BMI group considered high-normal (BMI 22.5 -<25 kg/m2) had higher risk for AS compared those with BMI 20 -<22.5 kg/m2. C_LI What are the clinical implications? O_LIThe percentage of individuals with overweight and obesity increases and in the same time, AS becomes more prevalent as the population ages. Considering that there is no medical treatment that can ameliorate AS prognosis, prevention by maintaining a low-normal or normal BMI becomes even more important. C_LI
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Prevalence of and risk factors for peripheral artery disease in rural South Africa: A cross-sectional analysis of the HAALSI cohort 94%
- The association between clonal hematopoiesis driver mutations, immune cell function and the vasculometabolic complications of obesity 94%
- Effects of Age and Sex on Systemic Inflammation and Cardiometabolic Function in Individuals with Type 2 Diabetes 93%
Similar papers in this journal
- Prognostic significance of BMI after PCI treatment in ST-elevation myocardial infarction A cohort study from the Swedish Coronary Angiography and Angioplasty Registry 93%
- Protective lipid-lowering genetic variants in healthy older individuals without coronary heart disease 92%
- Identification of an increased lifetime risk of major adverse cardiovascular events in UK Biobank participants with scoliosis 91%
Similar papers in this journal
- History of coronary heart disease increases the mortality rate of COVID-19 patients: a nested case-control study 93%
- Heritability of cardiovascular health across three generations in South Africa: the Birth to Twenty-Plus cohort 93%
- Cohort profile: The LipidCardio Study - Role of Lipoproteins in Cardiovascular Disease 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.