Evidence map›Paper›PMID 38064215›Full record

ArticleJAMA network open2023

Rates of ICD-10 Code U09.9 Documentation and Clinical Characteristics of VA Patients With Post-COVID-19 Condition.

Pandora L Wander, Aaron Baraff, Alexandra Fox, Kelly Cho, Monika Maripuri, Jacqueline P Honerlaw, Yuk-Lam Ho, Andrew T Dey, Ann M O'Hare, Amy S B Bohnert and 7 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05394025 (COVID-19 Observational Research Collaboratory - Long-Term Outcomes), which is not on this map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05394025 completednot on this map

COVID-19 Observational Research Collaboratory - Long-Term Outcomes (LTO) Study

TypeobservationalSponsorVA Office of Research and DevelopmentRan2022 to 2024Enrolled479ConditionsCOVID-19, SARS-CoV-2 Infection
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Understanding how social determinants of health shape Long COVID outcomes: a rapid review of evidence.Archives of public health = Archives belges de sante publique · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 8 institutions in 1 country.

Pandora L WanderDivision of General Internal Medicine, Veterans Affairs (VA) Puget Sound Health Care System and University of Washington, Seattle.
Aaron BaraffSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington.
Alexandra FoxSeattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, Washington.
Kelly ChoVA Centralized Interactive Phenomics Resources-VA Boston Healthcare System, Boston, Massachusetts.
Monika MaripuriVA Centralized Interactive Phenomics Resources-VA Boston Healthcare System, Boston, Massachusetts.
Jacqueline P HonerlawVA Centralized Interactive Phenomics Resources-VA Boston Healthcare System, Boston, Massachusetts.
Yuk-Lam HoVA Centralized Interactive Phenomics Resources-VA Boston Healthcare System, Boston, Massachusetts.
Andrew T DeyVA Centralized Interactive Phenomics Resources-VA Boston Healthcare System, Boston, Massachusetts.
Ann M O'HareDivision of Nephrology, VA Puget Sound Healthcare System and University of Washington, Seattle.
Amy S B BohnertVA Center for Clinical Management Research, Ann Arbor, Michigan.
Edward J BoykoDivision of General Internal Medicine, Veterans Affairs (VA) Puget Sound Health Care System and University of Washington, Seattle.
Matthew L MaciejewskiCenter of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, North Carolina.
Elizabeth VigliantiCenter for Clinical Management Research, VA Ann Arbor Health System, Ann Arbor, Michigan.
Theodore J IwashynaCenter for Clinical Management Research, VA Ann Arbor Health System, Ann Arbor, Michigan.
Denise M HynesCenter of Innovation to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon.
Thomas F OsborneVA Palo Alto Health Care System, Palo Alto, California.
George N IoannouDivision of Gastroenterology, VA Puget Sound Health Care System and University of Washington, Seattle.
VA Puget Sound Health Care System · USVA Boston Healthcare System · USUniversity of Michigan · USDurham VA Health Care System · USMass General Brigham · USUniversity of Washington · USVA Palo Alto Health Care System · USVA Portland Health Care System · US

Funding

HSRD VA IK6 HX003395
6 · The paper itself

Abstract

Importance: A significant proportion of SARS-CoV-2 infected individuals experience post-COVID-19 condition months after initial infection. Objective: To determine the rates, clinical setting, risk factors, and symptoms associated with the documentation of International Statistical Classification of Diseases Tenth Revision (ICD-10), code U09.9 for post-COVID-19 condition after acute infection. Design, Setting, and Participants: This retrospective cohort study was performed within the US Department of Veterans Affairs (VA) health care system. Veterans with a positive SARS-CoV-2 test result between October 1, 2021, the date ICD-10 code U09.9 was introduced, and January 31, 2023 (n = 388 980), and a randomly selected subsample of patients with the U09.9 code (n = 350) whose symptom prevalence was assessed by systematic medical record review, were included in the analysis. Exposure: Positive SARS-CoV-2 test result. Main Outcomes and Measures: Rates, clinical setting, risk factors, and symptoms associated with ICD-10 code U09.9 in the medical record. Results: Among the 388 980 persons with a positive SARS-CoV-2 test, the mean (SD) age was 61.4 (16.1) years; 87.3% were men. In terms of race and ethnicity, 0.8% were American Indian or Alaska Native, 1.4% were Asian, 20.7% were Black, 9.3% were Hispanic or Latino, 1.0% were Native Hawaiian or Other Pacific Islander; and 67.8% were White. Cumulative incidence of U09.9 documentation was 4.79% (95% CI, 4.73%-4.87%) at 6 months and 5.28% (95% CI, 5.21%-5.36%) at 12 months after infection. Factors independently associated with U09.9 documentation included older age, female sex, Hispanic or Latino ethnicity, comorbidity burden, and severe acute infection manifesting by symptoms, hospitalization, or ventilation. Primary vaccination (adjusted hazard ratio [AHR], 0.80 [95% CI, 0.78-0.83]) and booster vaccination (AHR, 0.66 [95% CI, 0.64-0.69]) were associated with a lower likelihood of U09.9 documentation. Marked differences by geographic region and facility in U09.9 code documentation may reflect local screening and care practices. Among the 350 patients undergoing systematic medical record review, the most common symptoms documented in the medical records among patients with the U09.9 code were shortness of breath (130 [37.1%]), fatigue or exhaustion (78 [22.3%]), cough (63 [18.0%]), reduced cognitive function or brain fog (22 [6.3%]), and change in smell and/or taste (20 [5.7%]). Conclusions and Relevance: In this cohort study of 388 980 veterans, documentation of ICD-10 code U09.9 had marked regional and facility-level variability. Strong risk factors for U09.9 documentation were identified, while vaccination appeared to be protective. Accurate and consistent documentation of U09.9 is needed to maximize its utility in tracking patients for clinical care and research. Future studies should examine the long-term trajectory of individuals with U09.9 documentation.

Indexed as

COVID-19SARS-CoV-2Chronic DiseaseCohort StudiesFemaleHumansInternational Classification of DiseasesMaleMiddle AgedPost-Acute COVID-19 SyndromeRetrospective Studies

Identifiers

PMID38064215
PMCPMC10709773
OpenAlexW4389490487

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.