ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2022
Development and validation of a simple web-based tool for early prediction of COVID-19-associated death in kidney transplant recipients.
Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04494776 (Severe Acute Respiratory Syndrome Coronavirus 2), which is not on this map. Cited by 12 papers.
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The trial behind it
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Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) Infection (COVID-19) in Kidney Transplant Recipients: a Brazilian Multicenter Study
Who cites it
12 citing papers in PubMed, 31 citations in OpenAlex.
- HIF-1α Pathway in COVID-19: A Scoping Review of Its Modulation and Related Treatments.International journal of molecular sciences · 2025Article
- Risk factors for SARS-CoV-2 pneumonia among renal transplant recipients in Omicron pandemic-a prospective cohort study.Virology journal · 2024Article
- Management of immunosuppression in lung transplant recipients and COVID-19 outcomes: an observational retrospective cohort-study.BMC infectious diseases · 2024Observational
- Assessing antiviral treatment efficacy and risk factors for severe COVID-19 in kidney transplant recipients during the Omicron subvariant-dominant period: a retrospective study.BMC nephrology · 2024Article
- Clinical characteristics and outcomes in COVID-19 in kidney transplant recipients: a propensity score matched cohort study.Frontiers in medicine · 2024Article
- Gastrointestinal manifestations of long-term effects after COVID-19 infection in patients with dialysis or kidney transplantation: An observational cohort study.World journal of gastroenterology · 2023Observational
- Performance of Derived Laboratory Biomarkers with Regard to 30-Day Mortality in Kidney Transplant Recipients with COVID-19.Life (Basel, Switzerland) · 2022Article
- An overview of COVID-19 in solid organ transplantation.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022Review
- Predictors of Serological Response to SARS-CoV-2 Vaccination in Kidney Transplant Patients: Baseline Characteristics, Immunosuppression, and the Role of IMPDH Monitoring.Journal of clinical medicine · 2022Article
- Early Prediction Model for Critical Illness of Hospitalized COVID-19 Patients Based on Machine Learning Techniques.Frontiers in public health · 2022Article
- Article
- Case Report of COVID-19 Infection After Kidney Transplant Treated With Casirivimab-Imdevimab and Mycophenolate Mofetil Changed to Everolimus.Transplantation proceedingsArticle
Corrections and comments
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Authors and funding
24 authors at 17 institutions in 1 country.
Funding
Abstract
This analysis, using data from the Brazilian kidney transplant (KT) COVID-19 study, seeks to develop a prediction score to assist in COVID-19 risk stratification in KT recipients. In this study, 1379 patients (35 sites) were enrolled, and a machine learning approach was used to fit models in a derivation cohort. A reduced Elastic Net model was selected, and the accuracy to predict the 28-day fatality after the COVID-19 diagnosis, assessed by the area under the ROC curve (AUC-ROC), was confirmed in a validation cohort. The better calibration values were used to build the applicable ImAgeS score. The 28-day fatality rate was 17% (n = 235), which was associated with increasing age, hypertension and cardiovascular disease, higher body mass index, dyspnea, and use of mycophenolate acid or azathioprine. Higher kidney graft function, longer time of symptoms until COVID-19 diagnosis, presence of anosmia or coryza, and use of mTOR inhibitor were associated with reduced risk of death. The coefficients of the best model were used to build the predictive score, which achieved an AUC-ROC of 0.767 (95% CI 0.698-0.834) in the validation cohort. In conclusion, the easily applicable predictive model could assist health care practitioners in identifying non-hospitalized kidney transplant patients that may require more intensive monitoring. Trial registration: ClinicalTrials.gov NCT04494776.
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