Failure of Prospective Validation and Derivation of a Refined Clinical Decision Rule for Chest Radiography in Emergency Department Patients With Chest Pain and Possible Acute Coronary Syndrome
Notice bibliographique
Résumé
OBJECTIVES: The authors previously derived a clinical decision rule (CDR) for chest radiography in patients with chest pain and possible acute coronary syndrome (ACS) consisting of the absence of three predictors: history of congestive heart failure, history of smoking, and abnormalities on lung auscultation. The aim of the investigation was to prospectively validate and refine the CDR for chest radiography in an independent patient population. METHODS: Patients over 24 years of age with a primary complaint of chest pain and possible ACS were prospectively enrolled from September 2008 to January 2010 at an academic emergency department (ED) with 73,000 annual patient visits. Physicians completed standardized data collection forms before ordering chest radiographs. Two investigators, blinded to the data collection forms, independently classified chest radiographs as "normal,""abnormal not requiring intervention," or "abnormal requiring intervention" (e.g., heart failure, infiltrates), based on review of the radiology report and medical record. Analyses included descriptive statistics, interrater reliability assessment (kappa), and recursive partitioning. RESULTS: Of 1,159 visits for possible ACS in which chest radiography was obtained, mean (±SD) age was 60.3 (±15.6) years, and 51% were female. Twenty-four percent had a history of acute myocardial infarction, 10% congestive heart failure, and 11% atrial fibrillation. Sixty-nine (6.0%, 95% confidence interval [CI] = 4.7% to 7.5%) patients had a radiographic abnormality requiring intervention. The kappa statistic for chest radiograph classification was 0.93 (95% CI = 0.88 to 0.97). The previously derived prediction rule (no history of congestive heart failure, no history of smoking, and no abnormalities on lung auscultation) was 78.3% sensitive (95% CI = 67.2% to 86.4%) and 45.1% specific (95% CI = 42.2% to 48.1%) and had a positive predictive value of 8.3% (95% CI = 6.4% to 10.7%) and a negative predictive value of 97.0% (95% CI = 95.2% to 98.2%). Due to suboptimal performance, the rule was refined. The refined rule (no shortness of breath, no history of smoking, no abnormalities on lung auscultation, and age < 55 years) was 100.0% sensitive (95% CI = 93.4% to 100.0%) and 11.5% specific (95% CI = 9.6% to 13.5%) and had a positive predictive value of 6.7% (95% CI = 5.3% to 8.4%) and a negative predictive value of 100.0% (95% CI = 96.3% to 100.0%). CONCLUSIONS: Prospective validation of our previously derived CDR for clinically important chest radiographic abnormalities was not successful. Derivation of a refined rule identified all clinically important radiographic abnormalities, but was insufficiently specific. No CDR with adequate sensitivity and specificity could be found.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,087 | 0,284 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».