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Talati, Ardesheer

https://orcid.org/0000-0001-5708-1372

Mayo Clinic

Columbia University Irving Medical Center

Citations 3

Maternal Use of Antidepressants in Pregnancy and the Risk of Postpartum Hemorrhage: An Electronic Health Record‐Based Cohort Study
Bobo, William V. , White, Launia J. , Hodge, David O. , Moore, Katherine M. , Betcher, Hannah K. , Larish, Alyssa M., Stoppel, Cynthia , Talati, Ardesheer , White, Launia, Hodge, David, Moore, Katherine, Betcher, Hannah, V Bobo, William

Human Psychopharmacology: Clinical and Experimental | August 9, 2025 | Volume: 40 | Issue: 5 | Pages: No page available

10.1002/hup.70015 Get It

ABSTRACTObjectivesPrior studies have raised concerns about postpartum hemorrhage (PPH) risk associated with selective serotonin and serotonin‐norepinephrine reuptake inhibitors (SSRIs and SNRIs), although limitations include possible confounding by maternal indications. The current study examined the risk of PPH associated with prenatal S/NRIs accounting for diagnosed maternal depression during pregnancy.MethodsThe current study is a secondary analysis of data from a cohort of 2213 pregnancies (1997–2010) identified from a large electronic medical record‐linkage system. Exposures were identified from electronic prescriptions records and resulted in three main groups: S/NRI‐exposed pregnancies (S/NRI users), antidepressant‐unexposed pregnancies (non‐users), and S/NRI exposure in the year prior to (but not during) pregnancy (former users). Data used to identify PPH occurrences included obstetrician chart diagnoses, diagnosis codes, and recorded estimated blood loss (EBL). The risk of PPH by exposure group was estimated using unadjusted, minimally adjusted (maternal age at delivery, delivery year, parity, and maternal smoking), and depression‐adjusted models (previous covariates and maternal depression). Supplemental analyses included an examination of PPH risk with prenatal bupropion monotherapy.ResultsThe study cohort consisted of 837 S/NRI users, 401 former users, and 786 non‐users, as well as 114 bupropion users identified for additional analyses. The frequency of PPH was 11.6% in the overall cohort, and was 14.7% for S/NRI users, 10.2% for former users, and 8.7% for non‐users. The risk of PPH was significantly higher for S/NRI users than non‐users in unadjusted (OR 1.82 [95% CI 1.33, 2.49]), minimally adjusted (aOR 1.66 [1.19, 2.31]), and depression‐adjusted models (aOR 1.46 [1.02, 2.10]). The risk of PPH was also higher for S/NRI former users than non‐users in unadjusted models (OR 1.54 [1.05, 2.26]) but not minimally adjusted (aOR 1.42 [0.95, 2.11]) or depression‐adjusted models (aOR 1.41 [0.95, 2.10]). No significant differences in PPH risk were observed between S/NRI users and former users, between bupropion users and non‐users, or between S/NRI users and bupropion users.ConclusionsPrenatal S/NRI exposure was associated with an increased risk of PPH after adjusting for maternal depression, although residual confounding and confounding by other factors (including unmeasured factors) may be possible, as the risk of PPH appeared to be similar between S/NRI users and former users. Best‐practice PPH risk management strategies should be adhered to for depressed patients, especially those who require treatment with antidepressants during pregnancy.
The Association of Antidepressants in Late Pregnancy with Postpartum Hemorrhage: Systematic Review of Controlled Observational Studies
Bobo, William V. , Moore, Katherine M. , Betcher, Hannah K. , Larish, Alyssa M., Stoppel, Cynthis M., Voort, Jennifer L. Vande , Athreya, Arjun P. , Talati, Ardesheer , Vande Voort, Jennifer L , Chauhan, Mohit , V Bobo, William

Journal of Child and Adolescent Psychopharmacology | October 25, 2024 | Volume: 34 | Issue: 10 | Pages: 428-446

10.1089/cap.2024.0085 Get It

Introduction: Despite advances in obstetric care, postpartum hemorrhage (PPH) is a leading cause of maternal mortality worldwide. Prior reviews of studies published through 2016 suggest an association of antidepressant use during late pregnancy and increased risk of PPH. However, a causal link between prenatal antidepressants and PPH remains controversial. Objectives: This systematic literature review aimed to synthesize the empirical evidence on the association of antidepressant exposure in late pregnancy with the risk of PPH, including studies published before and after 2016. Methods: A systematic literature search was conducted using PubMed, OVID Medline, EMBASE, SCOPUS, PsycINFO, and CINAHL from inception to September 9, 2023. Original, peer-reviewed studies (published in English) that reported on the frequency or risk of PPH in women with evidence of antidepressant use during pregnancy and included at least one control group were included. Results: Twenty studies (eight published after 2016) met inclusion criteria, most of which focused on the risks of PPH associated with selective serotonin reuptake inhibitors (SSRIs) or serotonin-norepinephrine reuptake inhibitors (SNRIs). The main findings from the individual studies were mixed, but the majority documented statistically significant associations of PPH with late prenatal exposure, especially for exposures occurring within 30 days of delivery, compared with unexposed deliveries. Fourteen studies addressed underlying antidepressant indications or their correlates. Few studies focused on prenatal antidepressants and the risk of well-defined severe PPH or on antidepressant dose changes and general PPH risk. None examined competing risks of antidepressant discontinuation on mental health outcomes. Conclusions: Late pregnancy exposure to antidepressants may be a minor risk factor for PPH, but it is unclear to what extent reported associations are causal in nature, as opposed to correlational (effects related to nonpharmacological factors including maternal indication). For patients needing antidepressants during pregnancy, current evidence does not favor routinely discontinuing antidepressants specifically to reduce the risk of PPH.
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model
Patra, Braja Gopal , Lepow, Lauren , Kumar, Praneet Kasi Reddy Jagadeesh, Vekaria, Veer , Sharma, Mohit , Adekkanattu, Prakash , Fennessy, Brian , Hynes, Gavin, Landi, Isotta , Sánchez-Ruiz, Jorge A. , Ryu, Euijung , Nadkarni, Girish N. , Talati, Ardesheer , Zhang, Yiye , Charney, Alexander W. , Pathak, Jyotishman , Lepow, Lauren A , Sharma, Mohit M , Pathak, Jyotishman , Vekaria, Veer , Patra, Braja G , Sanchez-Ruiz, Jorge A , Biernacka, Joanna M. , Weissman, Myrna M. , Olfson, Mark , Mann, J. John

Journal of the American Medical Informatics Association | October 18, 2024 | Volume: 32 | Issue: 1 | Pages: 218-226

10.1093/jamia/ocae260 Get It

Abstract Objectives Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented in narrative clinical notes rather than as structured coded data. Natural language processing (NLP) algorithms can automate the otherwise labor-intensive process of extraction of such information. Materials and Methods Psychiatric encounter notes from Mount Sinai Health System (MSHS, n = 300) and Weill Cornell Medicine (WCM, n = 225) were annotated to create a gold-standard corpus. A rule-based system (RBS) involving lexicons and a large language model (LLM) using FLAN-T5-XL were developed to identify mentions of SS and SI and their subcategories (eg, social network, instrumental support, and loneliness). Results For extracting SS/SI, the RBS obtained higher macroaveraged F1-scores than the LLM at both MSHS (0.89 versus 0.65) and WCM (0.85 versus 0.82). For extracting the subcategories, the RBS also outperformed the LLM at both MSHS (0.90 versus 0.62) and WCM (0.82 versus 0.81). Discussion and Conclusion Unexpectedly, the RBS outperformed the LLMs across all metrics. An intensive review demonstrates that this finding is due to the divergent approach taken by the RBS and LLM. The RBS was designed and refined to follow the same specific rules as the gold-standard annotations. Conversely, the LLM was more inclusive with categorization and conformed to common English-language understanding. Both approaches offer advantages, although additional replication studies are warranted.