AI Article Synopsis
- The study aimed to evaluate how polygenic scores (PGS) related to psychiatric disorders affect healthcare usage and the burden of comorbid conditions among a large group of participants with linked health records.
- Using data from approximately 118,882 individuals, researchers found that higher PGS for major depressive disorder was significantly associated with increased visits to emergency departments, inpatient services, and outpatient services, especially after a depression diagnosis.
- The results indicate that individuals with a higher genetic predisposition to depression tend to use more healthcare resources and experience greater comorbidity, although similar patterns were not observed for bipolar disorder and schizophrenia.
Article Abstract
Purpose: To estimate the association of psychiatric polygenic scores with healthcare utilization and comorbidity burden.
Methods: 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.
Results: 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.
Conclusions: 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557834 | PMC |
| http://dx.doi.org/10.1101/2023.09.29.23296345 | DOI Listing |
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