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Enregistrement W2121812691 · doi:10.1373/clinchem.2015.243345

Hospital Admission and Myocardial Injury Prevalence after the Clinical Introduction of a High-Sensitivity Cardiac Troponin I Assay

2015· letter· en· W2121812691 sur OpenAlexaff
Peter A. Kavsak, Alim Pardhan, William Krizmanich, Andrew Worster

Notice bibliographique

RevueClinical Chemistry · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueAcute Myocardial Infarction Research
Établissements canadiensMcMaster UniversityHamilton Health Sciences
Organismes subventionnairesOrtho Clinical DiagnosticsRocheBeckman Coulter FoundationAbbott Laboratories
Mots-clésMyocardial infarctionTroponin IMedicineInternal medicinePopulationCardiologyTroponinPercentileStatisticsEnvironmental health

Résumé

récupéré en direct d'OpenAlex

To the Editor: A cardiac troponin concentration above the 99th percentile is an indication of myocardial injury, and only a subset of all increased concentrations are caused by acute myocardial infarction (AMI).1 Interestingly, Sandoval et al. suggest that fewer AMI diagnoses may occur when using a high-sensitivity cardiac troponin I (hs-cTnI) assay with sex-specific 99th percentile cutoffs (1). This may well be a result of the superior analytical characteristics of the hs-cTnI assay, particularly at low concentrations near the decision levels (2). An important metric that was not reported by Sandoval et al. was the prevalence of myocardial injury using the hs-cTnI assay with sex-specific cutoffs. By extrapolating data from Tables 1 and 2 in their publication (1), we have estimated the prevalence of myocardial injury in the female population to be 46% (61/133) compared with 37% (66/177) in the male population. In another UK population, using the same hs-cTnI assay (Abbott Architect) with sex-specific cutoffs, the proportion of women with myocardial injury was >30% compared with <30% for men in the same population (3). Both of these studies suggest an increased prevalence of myocardial injury in the female population when using sex-specific cutoffs. The application of sex-specific cutoffs for high-sensitivity cardiac troponin is an evolving area; gaps still exist regarding the transition from a sensitive cTnI assay to a hs-cTnI assay when using an overall 99th percentile cutoff. Studies reported in Clinical Chemistry have indicated an increased prevalence of myocardial injury with an overall 99th percentile cutoff when centers have transitioned from cTnT to hs-cTnT (4) or between 2 sensitive cTnI assays (5). As our hospital transitioned from a sensitive cTnI assay to a hs-cTnI assay, we assessed both the prevalence of myocardial injury and hospital admissions from the emergency department (ED) in the 2 months before and 2 months after implementation of the hs-cTnI test. For this analysis, data were obtained from all adult ED patients who presented from September 24 to November 24, 2014, at either the Hamilton General Hospital or the Juravinski Hospital and Cancer Centre and who had cTnI ordered, results given, and a final ED disposition (i.e., hospital admission, ED death, or discharged home) recorded in the hospital information system (cTnI ED cohort, group 1). On November 25, 2014, both the Hamilton General Hospital and Juravinski Hospital and Cancer Centre replaced the Abbott Architect cTnI assay using the overall 99th percentile of 0.03 μg/L with the Abbott Architect hs-cTnI assay using the overall 99th percentile of 30 ng/L [obtained from the Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) Study and the Gutenberg Health Study]. From November 26, 2014, to January 26, 2015, data from all ED patients at both hospital sites who had hs-cTnI ordered, results given, and a final ED disposition recorded in the hospital information system were also collected (hs-cTnI ED cohort, group 2). After ethics approval, we compared the proportion of hospital admissions or ED deaths and the proportion of patients with myocardial injury (assessed using the peak cTnI concentration per ED patient) of the 2 time frames and, additionally, performed ROC curve analyses for each assay for hospital admission/ED death. We conducted our analyses using StatsDirect software and Analyse-it software. For the 2 months before transitioning to the hs-cTnI assay, there were 5533 cTnI test results on 3204 patients [median age 68 years (interquartile range 55–81)] vs 6141 hs-cTnI test results on 3355 patients [median age 71 years (interquartile range 57–82)] after transitioning to the hs-cTnI assay (P < 0.01, Mann–Whitney test between ages). There was no significant difference in the prevalence of myocardial injury in group 1 (20.0%) vs group 2 (21.7%) (P = 0.09) using the overall 99th percentile cutoff. Furthermore, there was no significant difference in the proportion of hospital admission/ED death in group 1 (52.8%) vs group 2 (53.3%) (P = 0.73). The area under the curve was significantly higher for hs-cTnI (0.78; 95% CI 0.77–0.80) compared with cTnI (0.71; 95% CI 0.70–0.73) for hospital admission/ED death (Fig. 1). Applying the overall 99th percentile cutoff, there was no difference in the prevalence of myocardial injury in females (group 1, 17.0% vs group 2, 19.3%; P = 0.08) or males (group 1, 23.1% vs group 2, 24.2%; P = 0.50). However, applying sex-specific cutoffs yielded a significantly higher proportion of myocardial injury in females (30.7%) compared with males (22.4%; P < 0.01) in group 2, which was also significantly higher than the prevalence of myocardial injury in females within group 1 (17.0%; P < 0.01). Using an overall 99th percentile for hs-cTnI does not appear to increase the prevalence of myocardial injury or lead to further hospital admissions from the ED. However, implementation of sex-specific cutoffs will increase the prevalence of myocardial injury in the female population. Additional health outcome studies are needed to assess the impact of using sex-specific cutoffs in a general North American ED population. acute myocardial infarction high-sensitivity cardiac troponin I emergency department.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,025
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,010
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,025
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0100,007
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

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 Opus0,031
Tête enseignante GPT0,367
Écart entre enseignants0,336 · 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 source (Gemma direct ou Codex distillé), 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

Citations9
Publié2015
Routes d'admission1
Résumé présentoui

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