Risk of heart failure (HF) has been shown to increase as body mass index (BMI) increases; however, BMI has limitations as an obesity measure. Over median follow-up of 13 years, waist-to-height ratio (WtHR) was found to significantly predict incident HF in almost 2,000 individuals in the Malm Preventive Project. WtHR may be a better metric than BMI to identify patients with HF who could benefit from targeted obesity interventions.
Read more …Waist-to-height ratio predicts heart failure incidence

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model's promising predictive capabilities.
Read more …Machine learning model helps identify patients at risk of postpartum depression

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