VenueAmerican Journal of Transplantation · 2024
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsUniversity of SaskatchewanVictoria General Hospital
FundersNational Center for Advancing Translational SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesClinical and Translational Science Center, University of New MexicoSouth Carolina Clinical and Translational Research Institute, Medical University of South CarolinaCenter for Clinical and Translational Sciences, University of Texas Health Science Center at HoustonInstitute for Integration of Medicine and ScienceCenter for Clinical and Translational Science, Mayo ClinicColorado Clinical and Translational Sciences InstituteCenter for Clinical and Translational Science, University of MassachusettsUniversity of Colorado DenverLeonard M. Miller School of MedicineUniversity of California, IrvineOregon Clinical and Translational Research InstituteWeill Cornell Medical CollegeClinical and Translational Science Institute, University of FloridaUniversity of Illinois at Urbana-ChampaignUniversity of Oklahoma Health Sciences CenterNational Institutes of HealthUniversity of California, DavisStony Brook UniversityInstitute for Clinical and Translational Science, University of California, IrvineOchsner HealthUniversity of California, San FranciscoLouisiana Clinical and Translational Science CenterGeorgia Clinical and Translational Science AllianceInstitute of Translational Health SciencesChildren's National HospitalVanderbilt University Medical CenterTranslational Research Institute, University of Arkansas for Medical SciencesNorthShore University HealthSystemWake Forest Clinical and Translational Science Institute, Wake Forest School of MedicineInstitute for Translational Medicine and TherapeuticsGeorgetown-Howard Universities Center for Clinical and Translational ScienceSouthern California Clinical and Translational Science InstituteUniversity of MiamiUniversity of South CarolinaInstitute for Clinical and Translational Research, University of Wisconsin, MadisonVanderbilt Institute for Clinical and Translational ResearchUniversity of CincinnatiPennsylvania State UniversityNYU Langone Medical CenterMontana State UniversityDartmouth CollegeGeorgetown UniversityInstitute of Clinical and Translational SciencesSchool of Medicine, Indiana UniversityWashington University in St. LouisUniversity of PittsburghOhio State UniversityWake Forest UniversityUniversity of Texas Health Science Center at San AntonioLoyola University ChicagoUniversity of Southern CaliforniaHarvard CatalystUniversity of OklahomaUniversity of MichiganPenn State Clinical and Translational Science InstituteCase Western Reserve UniversityUniversity of MinnesotaUniversity of California, San DiegoJohns Hopkins UniversityUniversity of California, Los AngelesBill and Melinda Gates FoundationUniversity of WashingtonIrving Medical Center, Columbia UniversityVirginia Commonwealth UniversityYale UniversityUniversity of Wisconsin-MadisonRush UniversityCincinnati Children's Hospital Medical CenterUniversity of UtahChildren's Hospital of PhiladelphiaUniversity of PennsylvaniaGeorge Washington UniversityUniversity of RochesterNorthwestern UniversityVanderbilt UniversityAccelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact ValuesUniversity of ChicagoYale Center for Clinical Investigation, Yale School of MedicineMedStar Health Research InstituteCenter for Clinical and Translational ResearchEmory UniversityUniversity of Texas Medical BranchWest Virginia Clinical and Translational Science InstituteUniversity of Nebraska Medical CenterWest Virginia University
KeywordsMedicineConfidence intervalCohortOdds ratioLogistic regressionInternal medicineCoronavirus disease 2019 (COVID-19)Propensity score matchingCohort studyRetrospective cohort studyDiseaseEmergency medicineInfectious disease (medical specialty)
Abstract
fetched live from OpenAlexPostacute sequelae after the coronavirus disease (COVID) of 2019 (PASC) is increasingly recognized, although data on solid organ transplant (SOT) recipients (SOTRs) are limited. Using the National COVID Cohort Collaborative, we performed 1:1 propensity score matching (PSM) of all adult SOTR and nonimmunosuppressed/immunocompromised (ISC) patients with acute COVID infection (August 1, 2021 to January 13, 2023) for a subsequent PASC diagnosis using International Classification of Diseases, 10th Revision, Clinical Modification codes. Multivariable logistic regression was used to examine not only the association of SOT status with PASC, but also other patient factors after stratifying by SOT status. Prior to PSM, there were 8769 SOT and 1 576 769 non-ISC patients with acute COVID infection. After PSM, 8756 SOTR and 8756 non-ISC patients were included; 2.2% of SOTR (n = 192) and 1.4% (n = 122) of non-ISC patients developed PASC (P value < .001). In the overall matched cohort, SOT was independently associated with PASC (adjusted odds ratio [aOR], 1.48; 95% confidence interval [CI], 1.09-2.01). Among SOTR, COVID infection severity (aOR, 11.6; 95% CI, 3.93-30.0 for severe vs mild disease), older age (aOR, 1.02; 95% CI, 1.01-1.03 per year), and mycophenolate mofetil use (aOR, 2.04; 95% CI, 1.38-3.05) were each independently associated with PASC. In non-ISC patients, only depression (aOR, 1.96; 95% CI, 1.24-3.07) and COVID infection severity were. In conclusion, PASC occurs more commonly in SOTR than in non-ISC patients, with differences in risk profiles based on SOT status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028
Distilled classifier scores by category (both heads)
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
