Your browser doesn't support javascript.
Rates and Factors Associated With Documentation of Diagnostic Codes for Long COVID in the National Veterans Affairs Health Care System.
Ioannou, George N; Baraff, Aaron; Fox, Alexandra; Shahoumian, Troy; Hickok, Alex; O'Hare, Ann M; Bohnert, Amy S B; Boyko, Edward J; Maciejewski, Matthew L; Bowling, C Barrett; Viglianti, Elizabeth; Iwashyna, Theodore J; Hynes, Denise M.
  • Ioannou GN; Health Services Research and Development, Center of Innovation, Veterans Affairs Puget Sound Healthcare System, Seattle, Washington.
  • Baraff A; Division of Gastroenterology, Department of Medicine, University of Washington, Seattle.
  • Fox A; Seattle Epidemiologic Research and Information Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
  • Shahoumian T; Seattle Epidemiologic Research and Information Center, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
  • Hickok A; Department of Veterans Affairs, Population Health, Palo Alto Healthcare System, Palo Alto, California.
  • O'Hare AM; Center of Innovation to Improve Veteran Involvement in Care, VA Portland Healthcare System, Portland, Oregon.
  • Bohnert ASB; Nephrology Section, Veterans Affairs Puget Sound Healthcare System, Seattle, Washington.
  • Boyko EJ; Division of Nephrology, University of Washington, Seattle.
  • Maciejewski ML; Department of Psychiatry, University of Michigan Medical School, Ann Arbor.
  • Bowling CB; General Internal Medicine, Veterans Affairs Puget Sound Healthcare System, Seattle, Washington.
  • Viglianti E; Division of General Internal Medicine, University of Washington, Seattle.
  • Iwashyna TJ; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina.
  • Hynes DM; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
JAMA Netw Open ; 5(7): e2224359, 2022 07 01.
Article in English | MEDLINE | ID: covidwho-1971176
ABSTRACT
Importance Some persons infected with SARS-CoV-2 experience symptoms or impairments many months after acute infection.

Objectives:

To determine the rates, clinical setting, and factors associated with documented receipt of COVID-19-related care 3 or more months after acute infection. Design, Setting, and

Participants:

This retrospective cohort study used data from the US Department of Veterans Affairs health care system. Participants included persons with a positive SARS-CoV-2 test between February 1, 2020, and April 30, 2021, who were still alive 3 months after infection and did not have evidence of reinfection. Data analysis was performed from February 2020 to December 2021. Exposures Positive SARS-CoV-2 test. Main Outcomes and

Measures:

Rates and factors associated with documentation of COVID-19-related International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes (U07.1, Z86.16, U09.9, and J12.82) 3 or more months after acute infection (hereafter, long-COVID care), with follow-up extending to December 31, 2021.

Results:

Among 198 601 SARS-CoV-2-positive persons included in the study, the mean (SD) age was 60.4 (17.7) years, 176 942 individuals (89.1%) were male, 133 924 (67.4%) were White, 44 733 (22.5%) were Black, and 19 735 (9.9%) were Hispanic. During a mean (SD) follow-up of 13.5 (3.6) months, long-COVID care was documented in a wide variety of clinics, most commonly primary care and general internal medicine (18 634 of 56 310 encounters [33.1%]), pulmonary (7360 of 56 310 encounters [13.1%]), and geriatrics (5454 of 56 310 encounters [9.7%]). Long-COVID care was documented in 26 745 cohort members (13.5%), with great variability across geographical regions (range, 10.8%-18.1%) and medical centers (range, 3.0%-41.0%). Factors significantly associated with documented long-COVID care included older age, Black or American Indian/Alaska Native race, Hispanic ethnicity, geographical region, high Charlson Comorbidity Index score, having documented symptoms at the time of acute infection (adjusted odds ratio [AOR], 1.71; 95% CI, 1.65-1.78) and requiring hospitalization (AOR, 2.60; 95% CI, 2.51-2.69) or mechanical ventilation (AOR, 2.46; 95% CI, 2.26-2.69). Patients who were fully vaccinated at the time of infection were less likely to receive long-COVID care (AOR, 0.78; 95% CI, 0.68-0.90). Conclusions and Relevance Long-COVID care was documented in a variety of clinical settings, with great variability across regions and medical centers and was documented more commonly in older persons, those with higher comorbidity burden, those with more severe acute COVID-19 presentation and those who were unvaccinated at the time of infection. These findings provide support and guidance for health care systems to develop systematic approaches to the evaluation and management of patients who may be experiencing long COVID.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Veterans / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Long Covid / Vaccines Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Veterans / COVID-19 Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study / Systematic review/Meta Analysis Topics: Long Covid / Vaccines Limits: Aged / Female / Humans / Male / Middle aged Language: English Journal: JAMA Netw Open Year: 2022 Document Type: Article