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Comorbidity Profiles of Posttraumatic Stress Disorder Across the Medical Phenome.
Hicks, Emily M; Niarchou, Maria; Goleva, Slavina; Kabir, Dia; Ciarcia, Julia; Smoller, Jordan W; Davis, Lea K; Nievergelt, Caroline M; Koenen, Karestan C; Huckins, Laura M; Choi, Karmel W.
Afiliação
  • Hicks EM; Pamela Sklar Division of Psychiatric Genetics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Niarchou M; Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA.
  • Goleva S; Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA.
  • Kabir D; Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA.
  • Ciarcia J; Department of Psychiatry, Division of Molecular Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
  • Smoller JW; Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA.
  • Davis LK; Broad Institute of MIT and Harvard, Stanley Center for Psychiatric Research, Cambridge, MA.
  • Nievergelt CM; Massachusetts General Hospital, Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Boston, MA.
  • Koenen KC; Vanderbilt University Medical Center, Vanderbilt Genetics Institute, Nashville, TN, USA.
  • Huckins LM; University of California San Diego, Department of Psychiatry, La Jolla, CA.
  • Choi KW; Veterans Affairs San Diego Healthcare System, Center of Excellence for Stress and Mental Health, San Diego, CA.
medRxiv ; 2023 Aug 28.
Article em En | MEDLINE | ID: mdl-37693435
ABSTRACT

Background:

Prior epidemiological research has linked PTSD with specific physical health problems, but the comprehensive landscape of medical conditions associated with PTSD remains uncharacterized. Electronic health records (EHR) provide an opportunity to overcome prior clinical knowledge gaps and uncover associations with biological relevance that potentially vary by sex.

Methods:

PTSD was defined among biobank participants (total N=123,365) in a major healthcare system using two ICD code-based definitions broad (1+ PTSD or acute stress codes versus 0; NCase=14,899) and narrow (2+ PTSD codes versus 0; NCase=3,026). Using a phenome-wide association (PheWAS) design, we tested associations between each PTSD definition and all prevalent disease umbrella categories, i.e., phecodes. We also conducted sex-stratified PheWAS analyses including a sex-by-diagnosis interaction term in each logistic regression.

Results:

A substantial number of phecodes were significantly associated with PTSDNarrow (61%) and PTSDBroad (83%). While top associations were shared between the two definitions, PTSDBroad captured 334 additional phecodes not significantly associated with PTSDNarrow and exhibited a wider range of significantly associated phecodes across various categories, including respiratory, genitourinary, and circulatory conditions. Sex differences were observed, in that PTSDBroad was more strongly associated with osteoporosis, respiratory failure, hemorrhage, and pulmonary heart disease among male patients, and with urinary tract infection, acute pharyngitis, respiratory infections, and overweight among female patients.

Conclusions:

This study provides valuable insights into a diverse range of comorbidities associated with PTSD, including both known and novel associations, while highlighting the influence of sex differences and the impact of defining PTSD using EHR.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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