{"title":"产后出血与抗抑郁药使用之间关系的评估：孟德尔随机研究。","authors":"Zhenzhen Chen, Qingqing Lv, Shiteng Lin, Wanlong Lin, Wei Zhuang","doi":"10.1007/s40801-025-00490-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The relationship between antidepressants, depression, and the incidence of postpartum hemorrhage (PPH) has been reported in observational studies, but the causal link between these factors remains unknown. Clarifying this relationship is important for treating depression during pregnancy and managing PPH.</p><p><strong>Objective: </strong>We aimed to assess the causal relationship between antidepressants, depression, and PPH using a two-sample Mendelian randomization method.</p><p><strong>Methods: </strong>Single nucleotide polymorphisms were identified from publicly available genetics summary databases (FinnGen database, access date: 28 December, 2023, version R9, phenocode: ANTIDEPRESSANTS, 195,321 participants; the genome-wide association studies [GWAS] catalog, access date: 3 April, 2024, GWAS ID: ebi-a-GCST90016607; Integrative Epidemiological Unit database, access date: 3 April, 2024, GWAS ID: ieu-a-1187) as alternative exposure factors for antidepressants and depression. Subsequently, inverse variance weighting, Mendelian randomization-Egger regression, weighted median, simple method, and weighted method were employed for Mendelian randomization analyses, and the results were validated for pleiotropy, heterogeneity, and sensitivity.</p><p><strong>Results: </strong>The analyses employed three sets of genetic tools, comprising two sets of 9 and 32 single nucleotide polymorphisms that are strongly associated with depression and another set of 26 single nucleotide polymorphisms that are associated with antidepressants. The inverse variance weighting indicated that antidepressants are associated with PPH (odds ratio = 1.36, 95% confidence interval 1.10-1.69, p = 0.005). Conversely, none of the five methods of Mendelian randomization analysis identified an effect of depression on PPH.</p><p><strong>Conclusions: </strong>This Mendelian randomization analysis indicated that antidepressant use is associated with PPH. However, the evidence does not support a causal relationship between depression and PPH.</p>","PeriodicalId":11282,"journal":{"name":"Drugs - Real World Outcomes","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the Association Between Postpartum Hemorrhage and Antidepressant Use: A Mendelian Randomization Study.\",\"authors\":\"Zhenzhen Chen, Qingqing Lv, Shiteng Lin, Wanlong Lin, Wei Zhuang\",\"doi\":\"10.1007/s40801-025-00490-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The relationship between antidepressants, depression, and the incidence of postpartum hemorrhage (PPH) has been reported in observational studies, but the causal link between these factors remains unknown. Clarifying this relationship is important for treating depression during pregnancy and managing PPH.</p><p><strong>Objective: </strong>We aimed to assess the causal relationship between antidepressants, depression, and PPH using a two-sample Mendelian randomization method.</p><p><strong>Methods: </strong>Single nucleotide polymorphisms were identified from publicly available genetics summary databases (FinnGen database, access date: 28 December, 2023, version R9, phenocode: ANTIDEPRESSANTS, 195,321 participants; the genome-wide association studies [GWAS] catalog, access date: 3 April, 2024, GWAS ID: ebi-a-GCST90016607; Integrative Epidemiological Unit database, access date: 3 April, 2024, GWAS ID: ieu-a-1187) as alternative exposure factors for antidepressants and depression. Subsequently, inverse variance weighting, Mendelian randomization-Egger regression, weighted median, simple method, and weighted method were employed for Mendelian randomization analyses, and the results were validated for pleiotropy, heterogeneity, and sensitivity.</p><p><strong>Results: </strong>The analyses employed three sets of genetic tools, comprising two sets of 9 and 32 single nucleotide polymorphisms that are strongly associated with depression and another set of 26 single nucleotide polymorphisms that are associated with antidepressants. The inverse variance weighting indicated that antidepressants are associated with PPH (odds ratio = 1.36, 95% confidence interval 1.10-1.69, p = 0.005). Conversely, none of the five methods of Mendelian randomization analysis identified an effect of depression on PPH.</p><p><strong>Conclusions: </strong>This Mendelian randomization analysis indicated that antidepressant use is associated with PPH. However, the evidence does not support a causal relationship between depression and PPH.</p>\",\"PeriodicalId\":11282,\"journal\":{\"name\":\"Drugs - Real World Outcomes\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drugs - Real World Outcomes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40801-025-00490-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drugs - Real World Outcomes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40801-025-00490-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Evaluation of the Association Between Postpartum Hemorrhage and Antidepressant Use: A Mendelian Randomization Study.
Background: The relationship between antidepressants, depression, and the incidence of postpartum hemorrhage (PPH) has been reported in observational studies, but the causal link between these factors remains unknown. Clarifying this relationship is important for treating depression during pregnancy and managing PPH.
Objective: We aimed to assess the causal relationship between antidepressants, depression, and PPH using a two-sample Mendelian randomization method.
Methods: Single nucleotide polymorphisms were identified from publicly available genetics summary databases (FinnGen database, access date: 28 December, 2023, version R9, phenocode: ANTIDEPRESSANTS, 195,321 participants; the genome-wide association studies [GWAS] catalog, access date: 3 April, 2024, GWAS ID: ebi-a-GCST90016607; Integrative Epidemiological Unit database, access date: 3 April, 2024, GWAS ID: ieu-a-1187) as alternative exposure factors for antidepressants and depression. Subsequently, inverse variance weighting, Mendelian randomization-Egger regression, weighted median, simple method, and weighted method were employed for Mendelian randomization analyses, and the results were validated for pleiotropy, heterogeneity, and sensitivity.
Results: The analyses employed three sets of genetic tools, comprising two sets of 9 and 32 single nucleotide polymorphisms that are strongly associated with depression and another set of 26 single nucleotide polymorphisms that are associated with antidepressants. The inverse variance weighting indicated that antidepressants are associated with PPH (odds ratio = 1.36, 95% confidence interval 1.10-1.69, p = 0.005). Conversely, none of the five methods of Mendelian randomization analysis identified an effect of depression on PPH.
Conclusions: This Mendelian randomization analysis indicated that antidepressant use is associated with PPH. However, the evidence does not support a causal relationship between depression and PPH.
期刊介绍：
Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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