Evidence map›Paper›PMID 41695044›Full record

ArticleJournal of multimorbidity and comorbidity

Post-COVID-19 conditions identified by ICD-10-CM code in a cohort of U.S. primary care patients, 2021 - 2023.

Xiaoyu Wang, Esther Velásquez, Sharon Saydah, Emilia H Koumans, Ilia Rochlin, Sebastian Romano, David H Rehkopf, Nicole D Ford

Abstract read
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Article in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaoyu WangCenter for Population Health Sciences, Stanford University, Palo Alto, CA, USA.ORCID https://orcid.org/0009-0007-3951-063X
Esther VelásquezCenter for Population Health Sciences, Stanford University, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0002-3572-4629
Sharon SaydahNational Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Emilia H KoumansNational Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ilia RochlinOffice of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID https://orcid.org/0000-0001-7680-6965
Sebastian RomanoOffice of Public Health Data, Surveillance, and Technology, Centers for Disease Control and Prevention, Atlanta, GA, USA.
David H RehkopfCenter for Population Health Sciences, Stanford University, Palo Alto, CA, USA.
Nicole D FordNational Center for Immunizations and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Describe patient characteristics, healthcare utilization, and Post-COVID-associated conditions among primary care patients with an ICD-10-CM diagnosis code for Post COVID-19 Condition (U09.9). Methods: Using electronic health record (EHR) data from the American Family Cohort, a U.S. national primary care dataset, we identified patients with a U09.9 diagnosis documented October 1, 2021-June 1, 2023. Patient data were categorized into three periods: pre-pandemic (2016-2019), pandemic pre-index (2020 to the first U09.9 diagnosis, or 'index' date), and post-index (index date to the last observation). Post-COVID-associated conditions were aggregated Results: We identified 10,265 patients with a U09.9 diagnosis code; 81.9% were ≥40 years, 63.3% female, 74.4% White, and 70.5% resided in metropolitan counties. Patients averaged 12.7 primary care encounters in the year before the index U09.9 diagnosis, compared to 9.2 encounters annually in the post-index period. Over 68% of patients who had ≥1 pre-pandemic encounters had ≥1 underlying medical conditions. The prevalence of conditions across 9 out of 12 body systems increased from the pre-pandemic to the pandemic pre-index period for patients who had ≥1 conditions. Prevalence of respiratory and musculoskeletal conditions had the largest decrease from the pandemic pre-index to the post-index period. Conclusions: Compared to adults who self-report Long COVID in nationally representative population-based surveys, patient characteristics in this cohort highlight a potential diagnosis gap - particularly for patients with rural residence or high county-level socioeconomic deprivation. Given frequent healthcare utilization and clinical complexity, primary care may require additional resources to meet patient needs.

Indexed as

long COVIDoutpatientpost-COVID conditionsprimary careU09.9

Identifiers

PMID41695044
PMCPMC12901935

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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.