MétaCan
Menu
Retour à la cohorte
Enregistrement W3092949602 · doi:10.1016/j.cjco.2020.10.008

Admission High-Sensitivity Cardiac Troponin vs a Biochemical Score for Predicting Mortality in Patients With COVID-19

2020· article· en· W3092949602 sur OpenAlexafffundabout
Peter A. Kavsak, Shawn Mondoux, Kerstin de Wit, Bram Rochwerg, Cheryl Main, Deborah Yamamura, Guillaume Paré, Jinhui Ma, Dan Perri, Jonathan Sherbino, Andrew Worster

Notice bibliographique

RevueCJC Open · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myocardial Infarction Research
Établissements canadiensMcMaster University
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésInternal medicineMedicineTroponinRenal functionCoronavirus disease 2019 (COVID-19)CardiologyEmergency departmentCreatininePopulationMyocardial infarctionDiseaseInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

Emerging evidence indicates a role for cardiac troponin testing, specifically high-sensitivity cardiac troponin (hs-cTn) in hospitalized patients with coronavirus disease 2019 (COVID-19).1Kavsak P.A. Hammarsten O. Worster A. Smith S.W. Apple F.S. Cardiac troponin testing in patients with COVID-19: a strategy for testing and reporting results [e-pub ahead of print]. Clin Chem.https://doi.org/10.1093/clinchem/hvaa225Google Scholar Undetectable levels of hs-cTn in patients with (and without) COVID-19 may be helpful in identifying a low-risk subgroup, with higher levels useful in identifying patients at high-risk for hospital death.1Kavsak P.A. Hammarsten O. Worster A. Smith S.W. Apple F.S. Cardiac troponin testing in patients with COVID-19: a strategy for testing and reporting results [e-pub ahead of print]. Clin Chem.https://doi.org/10.1093/clinchem/hvaa225Google Scholar,2Kavsak P.A. Cerasuolo J.O. Ko D.T. et al.High-sensitivity cardiac troponin I vs a clinical chemistry score for predicting all-cause mortality in an emergency department population.CJC Open. 2020; 2: 296-302Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar Further improvements in risk-stratification for emergency department or hospitalized patients may be achieved by adding clinical chemistry tests, such as glucose and creatinine (ie, estimated glomerular filtration rate), to generate a clinical chemistry score (CCS).2Kavsak P.A. Cerasuolo J.O. Ko D.T. et al.High-sensitivity cardiac troponin I vs a clinical chemistry score for predicting all-cause mortality in an emergency department population.CJC Open. 2020; 2: 296-302Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar,3Kavsak P.A. Cerasuolo J.O. Mondoux S.E. et al.Risk stratification for patients with chest pain discharged home from the emergency department.J Clin Med. 2020; 9: E2948Crossref PubMed Scopus (6) Google Scholar For patients with COVID-19, additional biochemical tests may have important prognostic roles—for example, urea level, which is already a component of the CURB-65 score (confusion, urea, respiratory rate, blood pressure, age ≥ 65 years) used to risk stratify patients presenting to the hospital with pneumonia.4Kavsak P.A. de Wit K. Worster A. Emerging key laboratory tests for patients with COVID-19.Clin Biochem. 2020; 81: 13-14Crossref PubMed Scopus (18) Google Scholar We performed a retrospective chart review of COVID-19 patients admitted to hospitals in the city of Hamilton in order to explore the performance characteristics of hs-cTn levels, the CCS, and the CCS with urea (CCUS) to predict in-hospital death. This review included the first 26 weeks of the COVID-19 pandemic (ethics approval: #11425-C). From March 16, 2020 to September 10, 2020, we identified 147 patients who were hospitalized at the Hamilton General Hospital, Juravinski Hospital, or St. Joseph’s Healthcare, Hamilton with reverse transcriptase–polymerase chain reaction positive for severe acute respiratory syndrome coronavirus-2 (performed at the Hamilton regional laboratory medicine program; HRLMP). Of these 147 patients (3 still hospitalized), 48 (median age = 80 years) did not have hs-cTnI tests (Abbott [Chicago, IL] or Ortho Diagnostics [Raritan, NJ]), with an additional 40 without admission hs-cTnI measurement, leaving only 39 patients (median age = 72 years; 64% male; n = 13 deaths) with measures of admission hs-cTnI level, glucose level, estimated glomerular filtration rate, and urea level (P = 0.05 for age between groups). We calculated the CCS as has previously been described, with points ranging from 0 to 5.2Kavsak P.A. Cerasuolo J.O. Ko D.T. et al.High-sensitivity cardiac troponin I vs a clinical chemistry score for predicting all-cause mortality in an emergency department population.CJC Open. 2020; 2: 296-302Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar The CCUS includes the CCS with an additional point of 1 assigned if the urea level was > 7 mmol/L (0 if below), thus yielding a range of 0-6 points.2Kavsak P.A. Cerasuolo J.O. Ko D.T. et al.High-sensitivity cardiac troponin I vs a clinical chemistry score for predicting all-cause mortality in an emergency department population.CJC Open. 2020; 2: 296-302Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar, 3Kavsak P.A. Cerasuolo J.O. Mondoux S.E. et al.Risk stratification for patients with chest pain discharged home from the emergency department.J Clin Med. 2020; 9: E2948Crossref PubMed Scopus (6) Google Scholar, 4Kavsak P.A. de Wit K. Worster A. Emerging key laboratory tests for patients with COVID-19.Clin Biochem. 2020; 81: 13-14Crossref PubMed Scopus (18) Google Scholar As 2 different hs-cTnI assays (Abbott = 29 patients; Ortho = 10 patients) were used, we divided the results by the respective upper reference limits to normalize for analyses. Receiver operating characteristic curve analyses with the areas under the curve, and sensitivity and specificity estimates for in-hospital death, were performed. The CCUS had the highest area under the curve for in-hospital death (0.81; 95% confidence interval [CI]: 0.65-0.92), higher than for hs-cTnI alone (0.69; 95% CI: 0.52-0.83; P = 0.01; Fig. 1). A CCUS ≤ 2 yielded a sensitivity = 92% (95% CI: 64-99) and a CCUS > 5 yielded a specificity = 92% (95% CI: 74-99). Major limitations include a small sample size and issues related to patient selection. This proof-of-principle study suggests that the prognostic performance of the hs-cTn level in patients with COVID-19 might be improved by the addition of routine biochemical tests. The Hamilton integrated research ethics board approved this study: #11425-C. This work received funding from a Canadian Institutes of Health Research grant (PK, funding reference #155964).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,495

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,057
Tête enseignante GPT0,364
Écart entre enseignants0,307 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission3
Résumé présentoui

Explorer davantage

Même revueCJC OpenMême sujetAcute Myocardial Infarction ResearchTravaux en français237 207