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Vessels T, Strayer N, Choi KW, Lee H, Zhang S, Han L, Morley TJ, Smoller JW, Xu Y, Ruderfer DM. Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.01.23290057. [PMID: 37333378 PMCID: PMC10274978 DOI: 10.1101/2023.06.01.23290057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Patients with schizophrenia have substantial comorbidity contributing to reduced life expectancy of 10-20 years. Identifying which comorbidities might be modifiable could improve rates of premature mortality in this population. We hypothesize that conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore potentially modifiable. To test this hypothesis, we calculated phenome-wide comorbidity from electronic health records (EHR) in 250,000 patients in each of two independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham) and association with schizophrenia polygenic risk scores (PRS) across the same phenotypes (phecodes) in linked biobanks. Comorbidity with schizophrenia was significantly correlated across institutions (r = 0.85) and consistent with prior literature. After multiple test correction, there were 77 significant phecodes comorbid with schizophrenia. Overall, comorbidity and PRS association were highly correlated (r = 0.55, p = 1.29×10-118), however, 36 of the EHR identified comorbidities had significantly equivalent schizophrenia PRS distributions between cases and controls. Fifteen of these lacked any PRS association and were enriched for phenotypes known to be side effects of antipsychotic medications (e.g., "movement disorders", "convulsions", "tachycardia") or other schizophrenia related factors such as from smoking ("bronchitis") or reduced hygiene (e.g., "diseases of the nail") highlighting the validity of this approach. Other phenotypes implicated by this approach where the contribution from shared common genetic risk with schizophrenia was minimal included tobacco use disorder, diabetes, and dementia. This work demonstrates the consistency and robustness of EHR-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies comorbidities with an absence of shared genetic risk indicating other causes that might be more modifiable and where further study of causal pathways could improve outcomes for patients.
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Affiliation(s)
- Tess Vessels
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
| | - Nicholas Strayer
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN
| | - Karmel W. Choi
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston MA
| | - Hyunjoon Lee
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston MA
| | - Siwei Zhang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN
| | - Lide Han
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
| | - Theodore J. Morley
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
| | - Jordan W. Smoller
- Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston MA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston MA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Yaomin Xu
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN
| | - Douglas M. Ruderfer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville TN
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN
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Muit JJ, van Eijndhoven PFP, Cipriani A, Dalhuisen I, van Bronswijk S, Furukawa TA, Ruhe HG. Efficacy and acceptability of next step treatment strategies in adults with treatment-resistant major depressive disorder: protocol for systematic review and network meta-analysis. BMJ Open 2022; 12:e056777. [PMID: 35437250 PMCID: PMC9016400 DOI: 10.1136/bmjopen-2021-056777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION For major depression, a one-size-fits-all treatment does not exist. Patients enter a 'trial-and-change' algorithm in which effective therapies are subsequently applied. Unfortunately, an empirically based order of treatments has not yet been determined. There is a magnitude of different treatment strategies while clinical trials only compare a small number of these. Network meta-analyses (NMA) might offer a solution, but so far have been limited in scope and did not account for possible differences in population characteristics that arise with increasing levels of treatment-resistance, potentially violating the transitivity assumption. We; therefore, present a protocol for a systematic review and NMA aiming at summarising and ranking treatments for treatment-resistant depression (TRD) while covering a broad range of therapeutic options and accounting for possible differences in population characteristics at increasing levels of treatment-resistance. METHODS AND ANALYSIS Randomised controlled trials will be included that compared next-step pharmacological, neuromodulation or psychological treatments for treatment-resistant depression (TRD; ie, failure to respond to ≥1 adequate antidepressant drug trial(s) in the current episode) to each other or to a control condition. Primary outcomes will be the proportion of patients who responded to (efficacy) and dropped out of (acceptability) the allocated treatment. A random effects NMA will be conducted, synthesising the evidence for each outcome and determining the differential efficacy of treatments. Heterogeneity in treatment nodes will be reduced by considering alternative geometries of the network structure and by conducting a meta-regression examining different levels of TRD. Local and global methods will be applied to evaluate consistency. The Cochrane Risk of Bias 2 tool, Confidence in Network Meta-Analysis and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework will be used to assess risk of bias and certainty. ETHICS AND DISSEMINATION This review does not require ethical approval.
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Affiliation(s)
- Jan Jacobus Muit
- Department of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands
| | | | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Iris Dalhuisen
- Department of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Suzanne van Bronswijk
- Department of Psychiatry and Psychology, Maastricht University, Maastricht, The Netherlands
| | - Toshi A Furukawa
- Departments of Health Promotion and Human Behavior and of Clinical Epidemiology, School of Public Health, Kyoto, Japan
| | - Henricus G Ruhe
- Department of Psychiatry, Radboud University Nijmegen, Nijmegen, The Netherlands
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Amiri S, Behnezhad S. The global prevalence of postpartum suicidal ideation, suicide attempts, and suicide mortality: A systematic review and meta-analysis. INTERNATIONAL JOURNAL OF MENTAL HEALTH 2021. [DOI: 10.1080/00207411.2021.1959814] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Sohrab Amiri
- Medicine, Quran and Hadith Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
- Behavioral Sciences Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
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Li Y, Mu T, Zhang L, Zhang C, Wu D, Chen J, Wang F. Internet‐based intervention for postpartum depression in China (“Mommy go”): Protocol for a randomized controlled trial. J Adv Nurs 2020; 76:2416-2425. [PMID: 32449228 DOI: 10.1111/jan.14436] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 04/12/2020] [Accepted: 05/06/2020] [Indexed: 01/21/2023]
Affiliation(s)
- Yu‐Hong Li
- Nursing College Anhui Medical University Hefei Anhui P.R. China
| | - Ting‐Yu Mu
- Nursing College Anhui Medical University Hefei Anhui P.R. China
- Nursing CollegesAnhui University of Traditional Chinese Medicine Hefei Anhui P.R. China
| | - Liu Zhang
- Nursing College Anhui Medical University Hefei Anhui P.R. China
| | - Cheng‐Lu Zhang
- Nursing College Anhui Medical University Hefei Anhui P.R. China
| | - Dan Wu
- The Second Affiliated Hospital of Anhui Medical University Hefei AnhuiP.R. China
| | - Jin‐Ju Chen
- The Second Affiliated Hospital of Anhui Medical University Hefei AnhuiP.R. China
| | - Fang Wang
- The Second Affiliated Hospital of Anhui Medical University Hefei AnhuiP.R. China
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Vaughn AT, Hooper GL. Development and Implementation of a Postpartum Depression Screening Program in the NICU. Neonatal Netw 2020; 39:75-82. [PMID: 32317337 DOI: 10.1891/0730-0832.39.2.75] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2019] [Indexed: 06/11/2023]
Abstract
Postpartum depression (PPD) is higher among NICU mothers compared to mothers without infants in the NICU. Routine screening improves early PPD identification and treatment for mothers. Key national women and infant organizations endorse facility-based policies that address PPD screening. In addition to PPD screening, the key national organizations recommend facilities providing care to women and infants develop a method of referral for maternal PPD evaluation, treatment, and follow-up. Due to the timing, onset, and maternal predisposition to PPD, the NICU is a prime setting for PPD screening. Despite recommendations, PPD screening is not routine in the NICU. This article describes the development and assessment of a PPD screening program implemented in the NICU. Data analysis of 30 NICU mothers evaluated the risk of PPD based on screening tool scores, maternal diagnostic evaluation compliance, and documentation of maternal follow-up with designated NICU staff.
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Le HN, Rodríguez-Muñoz MF, Soto-Balbuena C, Olivares Crespo ME, Izquierdo Méndez N, Marcos-Nájera R. Preventing perinatal depression in Spain: a pilot evaluation of Mamás y Bebés. J Reprod Infant Psychol 2019; 38:546-559. [PMID: 31729261 DOI: 10.1080/02646838.2019.1687859] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Objective: This pilot study evaluated the feasibility, acceptability, and preliminary effectiveness of a cognitive-behavioural intervention to prevent perinatal depressive symptoms in pregnant women at high risk for perinatal depression in Spain. Background: Perinatal depression (PD) can negatively affect maternal and infant outcomes. Mamás y Bebés/The Mothers and Babies Course (MBC) is an evidence-based CBT intervention aimed at teaching women at high risk for depression mood regulation skills to prevent depression in the United States, including Spanish-speaking perinatal women in the United States. However, there is limited research on preventive interventions for PD in Spain. Method: Pregnant women screened for high risk for PD were recruited in their first trimester in an obstetrics clinic at two urban hospitals in Spain. In a non-experimental design, 30 women completed eight weekly group sessions of the MBC. The Patient Health Questionnaire was the main depression outcome at four time points: pre-intervention, post-intervention, and at 3 months and 6 months postpartum. Participants completed an evaluation questionnaire at the end of each session to assess the acceptability of the intervention. Results: The MBC was effective in reducing depressive symptoms from baseline to all three time points: post-intervention, 3 and 6 months postpartum. Attendance was high (76.7% attended all eight sessions). Mothers reported positive feedback from the participating in the MBC. Conclusion: This pilot study suggests that the intervention is feasible, acceptable, and provides promising evidence for reducing depressive symptoms in urban Spanish perinatal women. Larger and rigorous randomised trials are needed to confirm these findings.
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Affiliation(s)
- Huynh-Nhu Le
- Department of Psychology, The George Washington University , Washington, DC, USA
| | - María F Rodríguez-Muñoz
- Department of Personality, Assessment and Psychological Treatment, Universidad Nacional de Educación a Distancia , Madrid, Spain
| | - Cristina Soto-Balbuena
- Department of Obstetrics and Gynecology, Central University Hospital of Asturias , Oviedo, Spain
| | | | - Nuria Izquierdo Méndez
- Department of Obstetrics and Gynecology, San Carlos Clinic Hospital, Universidad Complutense , Madrid, Spain
| | - Rosa Marcos-Nájera
- Department of Personality, Assessment and Psychological Treatment, Universidad Nacional de Educación a Distancia , Madrid, Spain
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