Association Between Psychiatric Polygenic Scores, Healthcare Utilization and Comorbidity Burden.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
30 Sep 2023
Historique:
pubmed: 9 10 2023
medline: 9 10 2023
entrez: 9 10 2023
Statut: epublish

Résumé

To estimate the association of psychiatric polygenic scores with healthcare utilization and comorbidity burden. Observational cohort study (N = 118,882) of adolescent and adult biobank participants with linked electronic health records (EHRs) from three diverse study sites; (Massachusetts General Brigham, Vanderbilt University Medical Center, Geisinger). Polygenic scores (PGS) were derived from the largest available GWAS of major depressive depression, bipolar disorder, and schizophrenia at the time of analysis. Negative binomial regression models were used to estimate the association between each psychiatric PGS and healthcare utilization and comorbidity burden. Healthcare utilization was measured as frequency of emergency department (ED), inpatient (IP), and outpatient (OP) visits. Comorbidity burden was defined by the Elixhauser Comorbidity Index and the Charlson Comorbidity Index. Participants had a median follow-up duration of 12 years in the EHR. Individuals in the top decile of polygenic score for major depressive disorder had significantly more ED visits (RR=1.22, 95% CI; 1.17, 1.29) compared to those the lowest decile. Increases were also observed with IP and comorbidity burden. Among those diagnosed with depression and in the highest decile of the PGS, there was an increase in all utilization types (ED: RR=1.56, 95% CI 1.41, 1.72; OP: RR=1.16, 95% CI 1.08, 1.24; IP: RR=1.23, 95% CI 1.12, 1.36) post-diagnosis. No clinically significant results were observed with bipolar and schizophrenia polygenic scores. Polygenic score for depression is modestly associated with increased healthcare resource utilization and comorbidity burden, in the absence of diagnosis. Following a diagnosis of depression, the PGS was associated with further increases in healthcare utilization. These findings suggest that depression genetic risk is associated with utilization and burden of chronic disease in real-world settings.

Identifiants

pubmed: 37808705
doi: 10.1101/2023.09.29.23296345
pmc: PMC10557834
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH118233
Pays : United States

Déclaration de conflit d'intérêts

Conflict of Interest: JWS is a member of the Scientific Advisory Board of Sensorium Therapeutics (with equity), and has received grant support from Biogen, Inc. He is PI of a collaborative study of the genetics of depression and bipolar disorder sponsored by 23andMe for which 23andMe provides analysis time as in-kind support but no payments.

Auteurs

H Lester Kirchner (HL)

Department of Population Health Sciences, Geisinger, Danville PA.

Daniel Rocha (D)

Phenomic Analytics and Clinical Data Core, Geisinger, Danville PA.

Richard K Linner (RK)

Department of Bioethics and Decision Sciences, Geisinger, Danville PA.

Drew Wilimitis (D)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, TN.

Colin G Walsh (CG)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, TN.
Department of Medicine, Vanderbilt University Medicine Center, Nashville, TN.
Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN.

Michael Ripperger (M)

Department of Biomedical Informatics, Vanderbilt University Medical Center, Vanderbilt University School of Medicine, Nashville, TN.

Hyunjoon Lee (H)

Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA.

Zhaowen Liu (Z)

Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA.

Lea Davis (L)

Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.

Yirui Hu (Y)

Department of Population Health Sciences, Geisinger, Danville PA.

Christopher F Chabris (CF)

Department of Bioethics and Decision Sciences, Geisinger, Danville PA.

Jordan W Smoller (JW)

Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA.
Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA.

Classifications MeSH