Developing a machine learning algorithm to predict psychotropic drugs-induced weight gain and the effectiveness of anti-obesity drugs in patients with severe mental illness: Protocol for a prospective cohort study DOI Creative Commons
Hye Jun Lee, Na Yeon Kim, Da Seul Kim

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(5), С. e0324000 - e0324000

Опубликована: Май 19, 2025

Obesity is a global public health concern, often co-occurring in patients with severe mental illnesses. The impact of psychotropic drugs-induced weight gain augmenting the disease burden and healthcare expenditure. However, predictors drug-induced efficacy anti-obesity drugs remain underexplored. This study aims to develop machine learning algorithm predict both metabolic changes, potential drugs. We plan enroll 300 illnesses, including schizophrenia, bipolar disorder, major depressive disorder. In Phase 1, will changes after treatment. Data on demographics, lifestyle, medical history, psychological factors, anthropometrics, laboratory results be collected at baseline re-evaluated 24 weeks post-treatment. Participants classified as obese (body mass index ≥ 25 kg/m²) or overweight 23–24.9 24-week follow-up proceed 2, which focuses predicting promise participants receive medications for weeks, same variables from 1 reassessed. A model developed that effective. tailored each patient guide clinicians personalizing psychiatric obesity treatment plans. clinical trial registered Clinical Research Information Service, part WHO International Trials Registry Platform (approval number: KCT0009769).

Язык: Английский

Developing a machine learning algorithm to predict psychotropic drugs-induced weight gain and the effectiveness of anti-obesity drugs in patients with severe mental illness: Protocol for a prospective cohort study DOI Creative Commons
Hye Jun Lee, Na Yeon Kim, Da Seul Kim

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(5), С. e0324000 - e0324000

Опубликована: Май 19, 2025

Obesity is a global public health concern, often co-occurring in patients with severe mental illnesses. The impact of psychotropic drugs-induced weight gain augmenting the disease burden and healthcare expenditure. However, predictors drug-induced efficacy anti-obesity drugs remain underexplored. This study aims to develop machine learning algorithm predict both metabolic changes, potential drugs. We plan enroll 300 illnesses, including schizophrenia, bipolar disorder, major depressive disorder. In Phase 1, will changes after treatment. Data on demographics, lifestyle, medical history, psychological factors, anthropometrics, laboratory results be collected at baseline re-evaluated 24 weeks post-treatment. Participants classified as obese (body mass index ≥ 25 kg/m²) or overweight 23–24.9 24-week follow-up proceed 2, which focuses predicting promise participants receive medications for weeks, same variables from 1 reassessed. A model developed that effective. tailored each patient guide clinicians personalizing psychiatric obesity treatment plans. clinical trial registered Clinical Research Information Service, part WHO International Trials Registry Platform (approval number: KCT0009769).

Язык: Английский

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