Prediction of early weight gain during psychotropic treatment using a combinatorial model with clinical and genetic markers
| Autor: | Mehdi Gholam-Rezaee, Nicolas Ansermot, Frederik Vandenberghe, Séverine Crettol, Lina Quteineh, Nuria Saigi-Morgui, Philippe Conus, Chin B. Eap, Armin von Gunten, Aurélie Delacrétaz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Adult Genetic Markers Male Longitudinal study medicine.medical_specialty Pharmacology Weight Gain 03 medical and health sciences 0302 clinical medicine Internal medicine Genetics Medicine Humans Longitudinal Studies General Pharmacology Toxicology and Pharmaceutics Area Under Curve Body Weight/drug effects Female Middle Aged Models Statistical Psychotropic Drugs/adverse effects Molecular Biology Genetics (clinical) Genetic testing Psychotropic Drugs medicine.diagnostic_test business.industry Body Weight Area under the curve medicine.disease 3. Good health 030104 developmental biology Psychotropic drug Genetic marker Schizophrenia Cohort Molecular Medicine medicine.symptom business Weight gain 030217 neurology & neurosurgery |
| Zdroj: | Pharmacogenetics and genomics, vol. 26, no. 12, pp. 547-557 Pharmacogenetics Genomics Europe PubMed Central |
| Popis: | BACKGROUND: Psychotropic drugs can induce significant (>5%) weight gain (WG) already after 1 month of treatment, which is a good predictor for major WG at 3 and 12 months. The large interindividual variability of drug-induced WG can be explained in part by genetic and clinical factors. AIM: The aim of this study was to determine whether extensive analysis of genes, in addition to clinical factors, can improve prediction of patients at risk for more than 5% WG at 1 month of treatment. METHODS: Data were obtained from a 1-year naturalistic longitudinal study, with weight monitoring during weight-inducing psychotropic treatment. A total of 248 Caucasian psychiatric patients, with at least baseline and 1-month weight measures, and with compliance ascertained were included. Results were tested for replication in a second cohort including 32 patients. RESULTS: Age and baseline BMI were associated significantly with strong WG. The area under the curve (AUC) of the final model including genetic (18 genes) and clinical variables was significantly greater than that of the model including clinical variables only (AUCfinal: 0.92, AUCclinical: 0.75, P |
| Databáze: | OpenAIRE |
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