Objective: To compare secular changes in body mass index (BMI) and left ventricular mass (LVM) in today's children versus children of a generation earlier.
Study Design: All healthy patients aged 2 to 19 years who underwent echocardiography at a single US academic medical center in 1986 to 1989 (prior era) and 2008 (current era) were included in this retrospective cross-sectional study. BMI, BMI z score, LVM indexed to height (LVMI), LVM z score, and relative wall thickness were calculated. Cardiac geometries were assigned based on LVM z score and relative wall thickness and classified as normal, concentric hypertrophy, eccentric hypertrophy, or concentric remodeling. Stepwise regression analysis was performed to identify determinants of LVMI.
Results: There were 350 subjects in the prior era and 350 age- and sex-matched subjects in the current era. Mean BMI and LVMI were both significantly higher in the current era than in the prior era (BMI, 19.9 ± 5.6 kg/m(2) vs 18.1 ± 3.8 kg/m(2), P = .0004; LVMI, 32.7 ± 7.8 g/m(2.7) vs 31.5 ± 8.1 g/m(2.7); P = .02). Determinants of LVMI in both eras were BMI z score, younger age, male sex, and African-American race.
Conclusions: Today's children have higher BMI, LVMI, and predicted cardiovascular risk than their counterparts a generation earlier. Reversal of these trends is needed, and intervention is required.
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http://dx.doi.org/10.1016/j.jpeds.2010.10.016 | DOI Listing |
Background: We previously published a systematic review evaluating retention in care after antiretroviral therapy treatment initiation among adults in low- and middle-income countries. We estimated retention at 36 months to be at 74% for studies published from 2008-2013. This review evaluates retention after the implementation of Universal Test and Treat in 2015.
View Article and Find Full Text PDFBrain Commun
December 2024
BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK.
Predicting risk of future dementia is essential for primary prevention strategies, particularly in the era of novel immunotherapies. However, few studies have developed population-level prediction models using existing routine healthcare data. In this longitudinal retrospective cohort study, we predicted incident dementia using primary and secondary care health records at 5, 10 and 13 years in 144 113 Scottish older adults who were dementia-free prior to 1st April 2009.
View Article and Find Full Text PDFJACC Adv
January 2025
Department of Surgery, Division of Transplant Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Background: Currently, there is no mathematical model used nationally to determine the medical urgency of patients on the heart transplant waitlist in the United States. While the current organ distribution system accounts for many patient factors, a truly objective model is needed to more reliably stratify patients by their medical acuity.
Objectives: The aim of the study was to develop risk scores (Colorado Heart failure Acuity Risk Model [CHARM] score) to predict mortality in adults waitlisted for heart transplant.
BMC Infect Dis
January 2025
Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Medical College and Hospital, Saveetha University, Chennai, India.
Background: Tuberculosis (TB) remains a significant health concern in India, especially among households with children and young adolescents aged 6-17 years. Despite ongoing research, there is a knowledge gap regarding specific risk factors for TB within this demographic. This study aims to bridge this gap by examining the association between TB and various socio-demographic factors, including socioeconomic status, nutritional status, and environmental conditions.
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