Publications by authors named "J M Halimi"

Introduction: Urinary albumin-to-creatinine ratio (uACR) is an independent predictor of chronic kidney disease (CKD) progression. However there is limited evidence on the burden of CKD according to uACR categories at the population level. This study estimates future clinical and financial burden of CKD according to uACR categories using the Inside CKD microsimulation.

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Background: Hypertension is the most common chronic disease and a major modifiable risk factor for cardio-cerebrovascular and renal diseases. This study estimated the national burden of hypertension, defined as systolic blood pressure ≥140 mm Hg, on morbidity and mortality in 2021 in France.

Methods: For all diseases causally associated with hypertension (cardiovascular diseases, chronic kidney diseases, and dementia), the number and proportion of cases attributable to hypertension in adults aged ≥35 years were estimated using population attributable fractions.

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Article Synopsis
  • Cardiovascular disease is the leading cause of death globally and a major concern in France, heavily influenced by modifiable risk factors like obesity, diabetes, hypertension, and high cholesterol levels.
  • In 2015, significant prevalence rates for these conditions were reported among adults aged 18-74, with obesity at 17.2% and diabetes at 7.4%, yet awareness of these conditions was low among those affected.
  • A push for better prevention methods, especially through nutrition and education, is essential to tackle these cardiovascular risk factors, with a noted importance on also addressing women's specific health issues that impact cardiovascular risk.
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Background: Malignant hypertension has not disappeared and remains the most severe form of hypertension. More than 100 years after its description, many points remain unanswered. Mechanisms, definitions, and optimal treatment are still controversial.

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Introduction: Recommender systems, digital tools providing recommendations, and digital nudges increasingly affect our lives. The combination of digital nudges and recommender systems is very attractive for its application in preventing overweight and obesity. However, linking recommender systems with personalised digital nudges has a potential yet to be fully exploited.

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