Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years.
<h4>Background</h4>Comparing the characteristics of patients with long COVID to those with other post-acute infection syndromes (PAIS) could potentially provide clues to common underlying disease processes that may affect patient recovery.<h4>Methods</h4>We identified records...
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Public Library of Science (PLoS)
2025-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0323104 |
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| author | Caleb R Carr Nicole L Gentile Jeanne Bertolli Warren Szewczyk Jin-Mann S Lin Elizabeth R Unger Quan M Vu Nona Sotoodehnia Annette L Fitzpatrick |
| author_facet | Caleb R Carr Nicole L Gentile Jeanne Bertolli Warren Szewczyk Jin-Mann S Lin Elizabeth R Unger Quan M Vu Nona Sotoodehnia Annette L Fitzpatrick |
| author_sort | Caleb R Carr |
| collection | DOAJ |
| description | <h4>Background</h4>Comparing the characteristics of patients with long COVID to those with other post-acute infection syndromes (PAIS) could potentially provide clues to common underlying disease processes that may affect patient recovery.<h4>Methods</h4>We identified records of patients who had documented SARS-CoV-2 tests in the University of Washington Medicine electronic health record (EHR) database from January 1, 2019, through January 31, 2022 (n = 139,472). Patients were classified into three groups: 1) long COVID defined by a positive SARS-CoV-2 test and a long COVID-related diagnosis code (n = 580); 2) recovered COVID defined by a positive test and no long COVID associated diagnosis codes (n = 7,437); and 3) non-COVID PAIS defined by a negative test, non-SARS-CoV-2 related PAIS diagnosis codes, and no COVID related codes (n = 106). Using multivariate logistic regression, we compared the clinical characteristics of these groups at three timeframes to address preclinical, acute and post-acute diagnoses: before index SARS-CoV-2 test, within 30 days of index test, and > 30 days after index test.<h4>Results</h4>The long COVID group had a higher Charlson comorbidity index [median (IQR), 2 (0-4)] than the other two patient groups [median (IQR), 1 (0-3) and 1 (0-3)]. The long COVID and non-COVID PAIS patients were older and had greater smoking exposure than the recovered COVID group. Compared to the recovered COVID control group, the long COVID group had more health problems prior to the infection, including respiratory and metabolic as well as more severe infections and comorbidities based on the ICD codes found in the acute phase records. In the post-acute timeframe, many symptoms were more likely to be associated with long COVID than recovered patients with COVID-19 including abnormalities of heart beat [OR (95% CI), 5.31 (3.96-7.13)], cognition, perception, or emotional state symptoms [OR (95% CI), 5.14 (3.81-6.92)], malaise and fatigue [OR (95% CI), 4.20 (3.13-5.63)], and sleep disorders [OR (95% CI), 2.47, (1.79-3.43)], all p < 0.05. In contrast, the non-COVID PAIS group shared many similarities with the long COVID group across all three timeframes.<h4>Conclusions</h4>Patients diagnosed with long COVID were more similar to patients with a non-COVID-related PAIS than to recovered patients with COVID-19. This suggests risk factors for PAIS may be similar and independent of the infectious agent. |
| format | Article |
| id | doaj-art-df82a913e1a84dce88f385cd05885f70 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-df82a913e1a84dce88f385cd05885f702025-08-20T03:53:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01205e032310410.1371/journal.pone.0323104Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years.Caleb R CarrNicole L GentileJeanne BertolliWarren SzewczykJin-Mann S LinElizabeth R UngerQuan M VuNona SotoodehniaAnnette L Fitzpatrick<h4>Background</h4>Comparing the characteristics of patients with long COVID to those with other post-acute infection syndromes (PAIS) could potentially provide clues to common underlying disease processes that may affect patient recovery.<h4>Methods</h4>We identified records of patients who had documented SARS-CoV-2 tests in the University of Washington Medicine electronic health record (EHR) database from January 1, 2019, through January 31, 2022 (n = 139,472). Patients were classified into three groups: 1) long COVID defined by a positive SARS-CoV-2 test and a long COVID-related diagnosis code (n = 580); 2) recovered COVID defined by a positive test and no long COVID associated diagnosis codes (n = 7,437); and 3) non-COVID PAIS defined by a negative test, non-SARS-CoV-2 related PAIS diagnosis codes, and no COVID related codes (n = 106). Using multivariate logistic regression, we compared the clinical characteristics of these groups at three timeframes to address preclinical, acute and post-acute diagnoses: before index SARS-CoV-2 test, within 30 days of index test, and > 30 days after index test.<h4>Results</h4>The long COVID group had a higher Charlson comorbidity index [median (IQR), 2 (0-4)] than the other two patient groups [median (IQR), 1 (0-3) and 1 (0-3)]. The long COVID and non-COVID PAIS patients were older and had greater smoking exposure than the recovered COVID group. Compared to the recovered COVID control group, the long COVID group had more health problems prior to the infection, including respiratory and metabolic as well as more severe infections and comorbidities based on the ICD codes found in the acute phase records. In the post-acute timeframe, many symptoms were more likely to be associated with long COVID than recovered patients with COVID-19 including abnormalities of heart beat [OR (95% CI), 5.31 (3.96-7.13)], cognition, perception, or emotional state symptoms [OR (95% CI), 5.14 (3.81-6.92)], malaise and fatigue [OR (95% CI), 4.20 (3.13-5.63)], and sleep disorders [OR (95% CI), 2.47, (1.79-3.43)], all p < 0.05. In contrast, the non-COVID PAIS group shared many similarities with the long COVID group across all three timeframes.<h4>Conclusions</h4>Patients diagnosed with long COVID were more similar to patients with a non-COVID-related PAIS than to recovered patients with COVID-19. This suggests risk factors for PAIS may be similar and independent of the infectious agent.https://doi.org/10.1371/journal.pone.0323104 |
| spellingShingle | Caleb R Carr Nicole L Gentile Jeanne Bertolli Warren Szewczyk Jin-Mann S Lin Elizabeth R Unger Quan M Vu Nona Sotoodehnia Annette L Fitzpatrick Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years. PLoS ONE |
| title | Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years. |
| title_full | Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years. |
| title_fullStr | Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years. |
| title_full_unstemmed | Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years. |
| title_short | Comparison of long COVID, recovered COVID, and non-COVID Post-Acute Infection Syndromes over three years. |
| title_sort | comparison of long covid recovered covid and non covid post acute infection syndromes over three years |
| url | https://doi.org/10.1371/journal.pone.0323104 |
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