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Research ArticleOriginal Research

Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits

Esther E. Velásquez, Neil S. Kamdar, David H. Rehkopf, Sharon Saydah, Lara Bull-Otterson, Shiying Hao, Ayin Vala, Isabella Chu, Andrew W. Bazemore, Robert L. Phillips and Tegan Boehmer
The Annals of Family Medicine July 2024, 22 (4) 279-287; DOI: https://doi.org/10.1370/afm.3131
Esther E. Velásquez
1Center for Population Health Sciences, Stanford School of Medicine, Stanford University, Palo Alto, California
ScD
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  • For correspondence: evelasq@stanford.edu
Neil S. Kamdar
1Center for Population Health Sciences, Stanford School of Medicine, Stanford University, Palo Alto, California
2Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
MA
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David H. Rehkopf
1Center for Population Health Sciences, Stanford School of Medicine, Stanford University, Palo Alto, California
3Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford University, Stanford, California
ScD
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Sharon Saydah
4CDC COVID-19 Response Team, Center for Surveillance, Epidemiology, and Laboratory Services, US Centers for Disease Control and Prevention, Atlanta, Georgia
PhD, MHS
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Lara Bull-Otterson
4CDC COVID-19 Response Team, Center for Surveillance, Epidemiology, and Laboratory Services, US Centers for Disease Control and Prevention, Atlanta, Georgia
PhD, MPH
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Shiying Hao
1Center for Population Health Sciences, Stanford School of Medicine, Stanford University, Palo Alto, California
PhD
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Ayin Vala
1Center for Population Health Sciences, Stanford School of Medicine, Stanford University, Palo Alto, California
MS
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Isabella Chu
1Center for Population Health Sciences, Stanford School of Medicine, Stanford University, Palo Alto, California
MPH
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Andrew W. Bazemore
5American Board of Family Medicine, Lexington, Kentucky
MD, MPH
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Robert L. Phillips
5American Board of Family Medicine, Lexington, Kentucky
MD, MSPH
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Tegan Boehmer
4CDC COVID-19 Response Team, Center for Surveillance, Epidemiology, and Laboratory Services, US Centers for Disease Control and Prevention, Atlanta, Georgia
PhD, MPH
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    Figure 1.

    Prevalence of diagnostic categories in the matched samples after diagnosis or inclusion.

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    Figure 2.

    Trends in cumulative morbidity before and after diagnosis among patients with COVID-19 and historical control patients with ILI overall.

    ILI = influenza-like illness.

    Note: Based on 27,960 patients with COVID-19 (from 2020-2021) and 27,960 historical control patients with ILI (from 2018). Diagnosis was date of first primary care visit with the diagnosis code.

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    Figure 3.

    Trends in cumulative morbidity before and after diagnosis among patients with COVID-19 and historical control patients with ILI who had a visit 180 days or more after diagnosis.

    ILI = influenza-like illness.

    Note: Based on 14,805 patients with COVID-19 (from 2020-2021) and 14,805 historical control patients with ILI (from 2018). Diagnosis was date of first primary care visit with the diagnosis code.

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    Table 1.

    Prematched Characteristics of Patients With COVID-19 and Historical Control Patients With ILI

    CharacteristicPrimary AnalysisaSecondary Analysisb
    ILI Control
    (n = 235,953)
    COVID-19
    (n = 28,215)
    Absolute
    Difference, %
    ILI Control
    (n = 69,704)
    COVID-19
    (n = 14,460)
    Absolute
    Difference, %
    Age group, No. (%)
        18-39 years41,613 (17.6)5,589 (19.8)2.29,885 (12.3)2,024 (13.1)0.8
        40-59 years79,673 (33.8)10,830 (38.4)4.621,266 (26.6)5,514 (35.7)9.1
        60-79 years94,239 (39.9)9,600 (34.0)5.929,963 (37.4)5,706 (36.9)0.5
        ≥80 years20,428 (8.7)2,196 (7.8)0.98,590 (10.7)1,216 (7.9)2.8
    Gender, No. (%)
        Female147,884 (62.7)15,985 (56.7)6.046,374 (58.1)8,850 (57.5)0.6
        Male87,972 (37.3)12,229 (43.3)6.033,493 (41.9)6,552 (42.5)0.6
        Missing97 (<0.1)1 (<0.1)0.0242 (0.3)50 (0.3)0.0
    Race and ethnicity, No. (%)
        Asian or Pacific Islanderc4,965 (2.1)395 (1.4)0.71,519 (1.9)198 (1.3)0.6
        Black or African Americanc14,752 (6.3)2,157 (7.6)1.45,620 (7.0)1,243 (8.0)1.0
        Hispanic or Latino18,111 (7.7)3,572 (12.7)5.07,239 (9.0)2,022 (13.1)4.1
        Native American/Alaska Nativec917 (0.4)135 (0.5)0.1441 (0.6)104 (0.7)0.1
        Whitec174,635 (74.0)19,531 (69.2)4.856,583 (70.6)10,943 (70.8)0.2
        Missing22,573 (9.6)2,425 (8.6)1.08,707 (10.9)942 (6.1)4.8
    Social deprivation index, No. (%)
        Quintile 1 – least deprived41,657 (17.7)4,477 (15.9)1.814,074 (17.6)2,337 (15.1)2.5
        Quintile 238,124 (16.2)4,162 (14.8)1.413,120 (16.4)2,222 (14.4)2.0
        Quintile 351,537 (21.8)6,501 (23.0)1.217,339 (21.6)3,485 (22.6)1.0
        Quintile 455,057 (23.3)6,920 (24.5)1.218,176 (22.7)3,834 (24.8)2.1
        Quintile 5 – most deprived48,469 (20.5)6,098 (21.6)1.116,890 (21.1)3,498 (22.6)1.5
        Missing1,109 (0.5)57 (0.2)0.3510 (0.6)76 (0.5)0.1
    Preexisting diagnoses, No. (%)
        Ataxia1,805 (0.8)140 (0.5)0.3465 (0.6)83 (0.5)0.1
        Autonomic conditions1,593 (0.7)170 (0.6)0.1406 (0.5)121 (0.8)0.3
        Bowel conditions8,208 (3.5)617 (2.2)1.32,286 (2.9)367 (2.4)0.5
        Breathing difficulties12,549 (5.3)1,298 (4.6)0.72,167 (2.7)829 (5.4)2.7
        Cognitive disturbance11,486 (4.9)1,016 (3.6)1.32,923 (3.7)563 (3.6)0.1
        Fatigue17,600 (7.5)1,472 (5.2)2.24,235 (5.3)820 (5.3)0.0
        Headache9,788 (4.2)987 (3.5)0.72,438 (3.0)572 (3.7)0.7
        Heart rate abnormalities5,443 (2.3)590 (2.1)0.21,417 (1.8)327 (2.1)0.3
        Myoneural conditions1,305 (0.6)136 (0.5)0.1257 (0.3)105 (0.7)0.4
        Peripheral nerve conditions4,873 (2.1)448 (1.6)0.51,222 (1.5)240 (1.6)0.1
        Psychological conditions30,073 (12.8)2,655 (9.4)3.38,528 (10.7)1,470 (9.5)1.2
        Seizure871 (0.4)103 (0.4)0.0281 (0.4)66 (0.4)0.0
        Sleep disturbances18,602 (7.9)1,548 (5.5)2.44,936 (6.2)830 (5.4)0.8
        Stroke1,694 (0.7)141 (0.5)0.2475 (0.6)83 (0.5)0.1
        Type 2 diabetes34,846 (14.8)4,120 (14.6)0.210,493 (13.1)2,470 (16.0)2.9
        Visual and auditory disturbance2,021 (0.9)173 (0.6)0.3605 (0.8)101 (0.7)0.1
        Weight loss2,045 (0.9)218 (0.8)0.1556 (0.7)95 (0.6)0.1
    • ILI = influenza-like illness.

    • ↵a No postdiagnosis visit restriction.

    • ↵b At least 1 visit 180 days or more after diagnosis required.

    • ↵c Non-Hispanic.

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    Table 2.

    Prematched Characteristics of Patients With COVID-19 and Contemporaneous Control Patients With a Wellness or Preventive Visit

    Characteristic20202021
    Wellness Control
    (n = 754,846)
    COVID-19
    (n = 13,259)
    Absolute
    Difference, %
    Wellness Control
    (n = 609,496)
    COVID-19
    (n =14,948)
    Absolute
    Difference, %
    Age group, No. (%)
        18-39 years124,763 (16.5)2,436 (18.4)1.8104,282 (17.1)3,152 (21.1)4.0
        40-59 years238,767 (31.6)5,013 (37.8)6.2188,020 (30.9)5,816 (38.9)8.0
        60-79 years317,396 (42.1)4,617 (34.8)7.2255,381 (41.9)4,978 (33.3)8.6
        ≥80 years73,913 (9.8)1,193 (9.0)0.861,813 (10.1)1,002 (6.7)3.4
        Missing7 (<0.1)0 (0.0)0.00 (0.0)0 (0.0)0.0
    Gender, No. (%)
        Female437,625 (58.0)7,530 (56.8)1.2352,228 (57.8)8,452 (56.6)1.2
        Male317,081 (42.0)5,729 (43.2)1.2257,258 (42.2)6,495 (43.5)1.3
        Missing140 (0.0)0 (0.0)0.00 (0.0)1 (<0.1)0.0
    Race and ethnicity, No. (%)
        Asian or Pacific Islandera14,576 (1.9)219 (1.7)0.311,570 (1.9)176 (1.2)0.7
        Black or African Americana57,951 (7.7)1,166 (8.8)1.148,731 (8.0)990 (6.6)1.4
        Hispanic or Latino63,401 (8.4)1,901 (14.3)5.951,411 (8.4)1,670 (11.2)2.8
        Native American or Alaska Nativea3,760 (0.5)61 (0.5)0.03,368 (0.6)74 (0.5)0.1
        Whitea551,808 (73.1)8,779 (66.2)6.9440,233 (72.2)10,746 (71.9)0.3
    Missing63,350 (8.4)1,133 (8.6)0.254,183 (8.9)1,292 (8.6)0.3
    Social deprivation index, No. (%)
        Quintile 1 – least deprived142,195 (18.8)2,012 (15.2)3.7109,610 (18.0)2,465 (16.5)1.5
        Quintile 2122,568 (16.2)1,843 (13.9)2.396,994 (15.9)2,318 (15.5)0.4
        Quintile 3162,854 (21.6)3,139 (23.7)2.1130,336 (21.4)3,360 (22.5)1.1
        Quintile 4172,272 (22.8)3,067 (23.1)0.3145,567 (23.9)3,851 (25.8)1.9
        Quintile 5 – most deprived153,549 (20.3)3,176 (24.0)3.6125,863 (20.7)2,919 (19.5)1.2
        Missing1,408 (0.2)22 (0.2)0.01,126 (0.2)35 (0.2)0.0
    Region, No. (%)
        Midwest135,950 (18.0)2,696 (20.3)0.2105,696 (17.3)1,986 (13.3)4.0
        Northeast71,176 (9.4)1,222 (9.2)2.349,495 (8.1)1,509 (10.1)2.0
        South436,891 (57.9)7,556 (57.0)0.9362,652 (59.5)9,726 (65.1)5.6
        West109,966 (14.6)1,771 (13.4)1.290,999 (14.9)1,716 (11.5)3.4
        Missing862 (0.1)14 (0.1)0.0654 (0.1)11 (0.1)0.0
    Office visit in 2019, No. (%)578,328 (76.6)9,297 (70.1)6.5428,719 (70.3)9,389 (62.8)7.5
    Marital status, No. (%)
        Single140,180 (18.6)2,649 (20.0)1.4118,367 (19.4)2,940 (19.7)0.3
        Married402,393 (53.3)7,260 (54.8)1.5320,396 (52.6)8,417 (56.3)3.7
        Divorced/separated43,140 (5.7)785 (5.9)0.234,902 (5.7)873 (5.8)0.1
        Partnered102 (<0.1)2 (<0.1)0.079 (<0.1)2 (<0.1)0.0
        Widowed38,959 (5.2)701 (5.3)0.130,501 (5.0)630 (4.2)0.8
        Unknown/other130,071 (17.2)1,862 (14.0)3.2105,251 (17.3)2,086 (14.0)3.3
    Preexisting diagnoses, No. (%)
        Abnormal heart rate5,662 (0.8)144 (1.1)0.34,140 (0.7)156 (1.0)0.3
        Ataxia2,081 (0.3)43 (0.3)0.01,603 (0.3)23 (0.2)0.1
        Autonomic conditions2,063 (0.3)51 (0.4)0.11,615 (0.3)49 (0.3)0.0
        Bowel conditions6,705 (0.9)163 (1.2)0.35,235 (0.9)143 (1.0)0.1
        Breathing conditions10,275 (1.4)310 (2.3)1.08,082 (1.3)330 (2.2)0.9
        Cognitive disturbance10,729 (1.4)240 (1.8)0.47,699 (1.3)265 (1.8)0.5
        Fatigue13,030 (1.7)354 (2.7)0.99,166 (1.5)359 (2.4)0.9
        Headache8,286 (1.1)215 (1.6)0.56,819 (1.1)287 (1.9)0.8
        Myoneural conditions1,386 (0.2)36 (0.3)0.1997 (0.2)30 (0.2)0.0
        Peripheral nerve conditions6,838 (0.9)131 (1.0)0.15,142 (0.8)110 (0.7)0.1
        Psychological conditions32,942 (4.4)688 (5.2)0.825,097 (4.1)764 (5.1)1.0
        Seizure1,332 (0.2)41 (0.3)0.1981 (0.2)25 (0.2)0.0
        Sleep disturbance20,301 (2.7)401 (3.0)0.316,080 (2.6)411 (2.8)0.2
        Stroke2,045 (0.3)49 (0.4)0.11,449 (0.2)38 (0.3)0.1
        Type 2 diabetes62,960 (8.3)1,362 (10.3)1.947,227 (7.8)1,241 (8.3)0.5
        Visual or auditory disturbance2,051 (0.3)37 (0.3)0.01,512 (0.3)44 (0.3)0.0
        Weight loss2,308 (0.3)68 (0.5)0.21,738 (0.3)44 (0.3)0.0
    • ↵a Non-Hispanic.

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    • VelasquezPostCovidVisualAbstract.png -

      PNG FILE

  • PLAIN-LANGUAGE ARTICLE SUMMARY

    Original Research

    Study Shows Post-COVID Conditions in Primary Care Are Comparable to Flu and Lower Than Subspecialty and Hospital Settings 

    Background and Goal: COVID-19 has been considered a condition leading to other post-COVID chronic conditions frequently diagnosed in the primary care setting. This study examines the prevalence of post-COVID conditions among adult patients diagnosed with COVID-19 across the United States from 2020-2021. The study then compares the post-COVID conditions among those patients to patients with influenza-like illness and those who had regular wellness visits but weren’t diagnosed with COVID-19. The goal was to understand the prevalence and types of post-COVID conditions over time, and to see if COVID-19 led to more long-term health problems.

    Study Approach:  The study was conducted by researchers from Stanford University, the CDC, the American Board of Family Medicine Foundation, and the Institute for Healthcare Policy and Innovation at the University of Michigan. Researchers used the American Family Cohort, a national primary care registry to examine data from the years 2018 to 2021. They compared data from three groups: people who had COVID-19, people from 2018-2019 with flu-like illnesses, and people from 2020-2021 who had regular health check-ups but not COVID-19. Researchers matched people in each group who were similar in age, gender, health status, and other factors. They then checked how many people in each group had long-lasting health problems, looking at the overall number and type of health issues each group had over time.

    Main Results: 

    • Patients with COVID-19 had a higher prevalence of certain issues compared to patients with influenza-like illness. Issues included: breathing difficulties, type 2 Diabetes , fatigue and sleep disturbances However, all prevalence differences were less than 3%. This difference suggests that while COVID-19 may lead to specific new health problems, the overall long-term health impact is similar to that of other respiratory illnesses like influenza.

    • There were no significant differences in the monthly increase of new health conditions between patients with COVID-19 and those with influenza-like illness. Both groups had a similar rate of increase in health problems each month after their diagnosis.

    • Patients with COVID-19 had a higher prevalence of breathing difficulties and type 2 diabetes compared to patients who had regular wellness visits but did not contract COVID-19. While the differences in prevalence were statistically noted, they are described as modest. This indicates that although there is an increase, it is not dramatically higher.

    Why It Matters: The findings from this study demonstrate the moderate burden of post-COVID conditions in primary care. The conditions include breathing difficulties, fatigue, sleep disturbances, and type 2 diabetes. Using real-world data from a national primary care registry, the study provides a different picture of the prevalence and impact of post-COVID conditions compared to specialty or hospital settings. Understanding the types and prevalence of post-COVID conditions helps health care professionals diagnose and treat these conditions more effectively. 

    Visual Abstract:


  • SUPPLEMENTAL MATERIALS IN PDF FILE BELOW

    Supplemental Table 1. Primary Analysis: Pre-matched and Post-matched Sociodemographic and Underlying Health Characteristics of Patients with COVID-19 and Historical Control-patients with Influenza-like Illness (ILI) 

    Supplemental Table 2. Current Procedural Terminology (CPT®) Codes Used to Identify Preventive and Wellness Visits

    Supplemental Table 3. ICD-10-CM Codes

    Supplemental Appendix

    • 279-SupplementalAppendixTable.pdf -

      PDF file

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Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits
Esther E. Velásquez, Neil S. Kamdar, David H. Rehkopf, Sharon Saydah, Lara Bull-Otterson, Shiying Hao, Ayin Vala, Isabella Chu, Andrew W. Bazemore, Robert L. Phillips, Tegan Boehmer
The Annals of Family Medicine Jul 2024, 22 (4) 279-287; DOI: 10.1370/afm.3131

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Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits
Esther E. Velásquez, Neil S. Kamdar, David H. Rehkopf, Sharon Saydah, Lara Bull-Otterson, Shiying Hao, Ayin Vala, Isabella Chu, Andrew W. Bazemore, Robert L. Phillips, Tegan Boehmer
The Annals of Family Medicine Jul 2024, 22 (4) 279-287; DOI: 10.1370/afm.3131
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Subjects

  • Domains of illness & health:
    • Chronic illness
  • Methods:
    • Quantitative methods
  • Other topics:
    • COVID-19

Keywords

  • long COVID
  • post-COVID conditions
  • post-infectious disorders
  • primary health care
  • family practice
  • chronic illness
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