Kristyna Vochoskova, Sean R McWhinney, Marketa Fialova, Marian Kolenic, Filip Spaniel, Petra Furstova, Petra Boron, Yurai Okaji, Pavel Trancik, Tomas Hajek
{"title":"因精神病首次发作而住院的患者每天服用抗精神病药物和体重增加的轨迹。","authors":"Kristyna Vochoskova, Sean R McWhinney, Marketa Fialova, Marian Kolenic, Filip Spaniel, Petra Furstova, Petra Boron, Yurai Okaji, Pavel Trancik, Tomas Hajek","doi":"10.1192/j.eurpsy.2024.1761","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We need to better understand the risk factors and predictors of medication-related weight gain to improve metabolic health of individuals with schizophrenia. This study explores how trajectories of antipsychotic medication (AP) use impact body weight early in the course of schizophrenia.</p><p><strong>Methods: </strong>We recruited 92 participants with first-episode psychosis (FEP, <i>n</i> = 92) during their first psychiatric hospitalization. We prospectively collected weight, body mass index (BMI), metabolic markers, and exact daily medication exposure during 6-week hospitalization. We quantified the trajectory of AP medication changes and AP polypharmacy using a novel approach based on meta-analytical ranking of medications and tested it as a predictor of weight gain together with traditional risk factors.</p><p><strong>Results: </strong>Most people started treatment with risperidone (<i>n</i> = 57), followed by olanzapine (<i>n</i> = 29). Then, 48% of individuals remained on their first prescribed medication, while 33% of people remained on monotherapy. Almost half of the individuals (39/92) experienced escalation of medications, mostly switch to AP polypharmacy (90%). Only baseline BMI was a predictor of BMI change. Individuals in the top tercile of weight gain, compared to those in the bottom tercile, showed lower follow-up symptoms, a trend for longer prehospitalization antipsychotic treatment, and greater exposure to metabolically problematic medications.</p><p><strong>Conclusions: </strong>Early in the course of illness, during inpatient treatment, baseline BMI is the strongest and earliest predictor of weight gain on APs and is a better predictor than type of medication, polypharmacy, or medication switches. Baseline BMI predicted weight change over a period of weeks, when other traditional predictors demonstrated a much smaller effect.</p>","PeriodicalId":12155,"journal":{"name":"European Psychiatry","volume":"67 1","pages":"e59"},"PeriodicalIF":7.2000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457116/pdf/","citationCount":"0","resultStr":"{\"title\":\"Trajectories of daily antipsychotic use and weight gain in people hospitalized for the first episode of psychosis.\",\"authors\":\"Kristyna Vochoskova, Sean R McWhinney, Marketa Fialova, Marian Kolenic, Filip Spaniel, Petra Furstova, Petra Boron, Yurai Okaji, Pavel Trancik, Tomas Hajek\",\"doi\":\"10.1192/j.eurpsy.2024.1761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>We need to better understand the risk factors and predictors of medication-related weight gain to improve metabolic health of individuals with schizophrenia. This study explores how trajectories of antipsychotic medication (AP) use impact body weight early in the course of schizophrenia.</p><p><strong>Methods: </strong>We recruited 92 participants with first-episode psychosis (FEP, <i>n</i> = 92) during their first psychiatric hospitalization. We prospectively collected weight, body mass index (BMI), metabolic markers, and exact daily medication exposure during 6-week hospitalization. We quantified the trajectory of AP medication changes and AP polypharmacy using a novel approach based on meta-analytical ranking of medications and tested it as a predictor of weight gain together with traditional risk factors.</p><p><strong>Results: </strong>Most people started treatment with risperidone (<i>n</i> = 57), followed by olanzapine (<i>n</i> = 29). Then, 48% of individuals remained on their first prescribed medication, while 33% of people remained on monotherapy. Almost half of the individuals (39/92) experienced escalation of medications, mostly switch to AP polypharmacy (90%). Only baseline BMI was a predictor of BMI change. Individuals in the top tercile of weight gain, compared to those in the bottom tercile, showed lower follow-up symptoms, a trend for longer prehospitalization antipsychotic treatment, and greater exposure to metabolically problematic medications.</p><p><strong>Conclusions: </strong>Early in the course of illness, during inpatient treatment, baseline BMI is the strongest and earliest predictor of weight gain on APs and is a better predictor than type of medication, polypharmacy, or medication switches. Baseline BMI predicted weight change over a period of weeks, when other traditional predictors demonstrated a much smaller effect.</p>\",\"PeriodicalId\":12155,\"journal\":{\"name\":\"European Psychiatry\",\"volume\":\"67 1\",\"pages\":\"e59\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2024-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457116/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1192/j.eurpsy.2024.1761\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1192/j.eurpsy.2024.1761","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Trajectories of daily antipsychotic use and weight gain in people hospitalized for the first episode of psychosis.
Background: We need to better understand the risk factors and predictors of medication-related weight gain to improve metabolic health of individuals with schizophrenia. This study explores how trajectories of antipsychotic medication (AP) use impact body weight early in the course of schizophrenia.
Methods: We recruited 92 participants with first-episode psychosis (FEP, n = 92) during their first psychiatric hospitalization. We prospectively collected weight, body mass index (BMI), metabolic markers, and exact daily medication exposure during 6-week hospitalization. We quantified the trajectory of AP medication changes and AP polypharmacy using a novel approach based on meta-analytical ranking of medications and tested it as a predictor of weight gain together with traditional risk factors.
Results: Most people started treatment with risperidone (n = 57), followed by olanzapine (n = 29). Then, 48% of individuals remained on their first prescribed medication, while 33% of people remained on monotherapy. Almost half of the individuals (39/92) experienced escalation of medications, mostly switch to AP polypharmacy (90%). Only baseline BMI was a predictor of BMI change. Individuals in the top tercile of weight gain, compared to those in the bottom tercile, showed lower follow-up symptoms, a trend for longer prehospitalization antipsychotic treatment, and greater exposure to metabolically problematic medications.
Conclusions: Early in the course of illness, during inpatient treatment, baseline BMI is the strongest and earliest predictor of weight gain on APs and is a better predictor than type of medication, polypharmacy, or medication switches. Baseline BMI predicted weight change over a period of weeks, when other traditional predictors demonstrated a much smaller effect.
期刊介绍:
European Psychiatry, the official journal of the European Psychiatric Association, is dedicated to sharing cutting-edge research, policy updates, and fostering dialogue among clinicians, researchers, and patient advocates in the fields of psychiatry, mental health, behavioral science, and neuroscience. This peer-reviewed, Open Access journal strives to publish the latest advancements across various mental health issues, including diagnostic and treatment breakthroughs, as well as advancements in understanding the biological foundations of mental, behavioral, and cognitive functions in both clinical and general population studies.