Door-to-Needle Times for Tissue Plasminogen Activator Administration and Clinical Outcomes in Acute Ischemic Stroke Before and After a Quality Improvement Initiative
Notice bibliographique
Résumé
IMPORTANCE: The benefits of intravenous tissue plasminogen activator (tPA) in patients with acute ischemic stroke (AIS) are time dependent and guidelines recommend a door-to-needle (DTN) time of 60 minutes or less. However, studies have found that less than 30% of US patients are treated within this time window. TARGET: Stroke was designed as a national quality improvement initiative to improve DTN times for tPA administration in patients with AIS. OBJECTIVES: To evaluate DTN times for tPA administration and the proportion of patients with times of 60 minutes or less before and after initiation of a quality improvement initiative and to determine whether potential improvements in DTN times were associated with improvements in clinical outcomes. DESIGN, SETTING, AND PATIENTS: The TARGET: Stroke initiative disseminated 10 care strategies to achieve faster DTN times for tPA administration, provided clinical decision support tools, facilitated hospital participation, and encouraged sharing of best practices. This study included 71,169 patients with AIS treated with tPA (27,319 during the preintervention period from April 2003-December 2009 and 43,850 during the postintervention period from January 2010-September 2013) from 1030 Get With The Guidelines-Stroke participating hospitals (52.8% of total). MAIN OUTCOMES AND MEASURES: The DTN times for tPA administration of 60 minutes or less and in-hospital risk-adjusted mortality, symptomatic intracranial hemorrhage, ambulatory status at discharge, and discharge destination. RESULTS: Median DTN time for tPA administration declined from 77 minutes (interquartile range [IQR], 60-98 minutes) during the preintervention period to 67 minutes (IQR, 51-87 minutes) during the postintervention period (P < .001). The DTN times for tPA administration of 60 minutes or less increased from 26.5% (95% CI, 26.0%-27.1%) of patients during the preintervention period to 41.3% (95% CI, 40.8%-41.7%) during the postintervention period (P < .001). The DTN times of 60 minutes or less increased from 29.6% (95% CI, 27.8%-31.5%) of patients in the quarter immediately before the intervention (fourth quarter of 2009) to 53.3% (95% CI, 51.5%-55.2%) in the final postintervention quarter (third quarter of 2013) (P < .001). The annual rate of improvement in DTN times of 60 minutes or less increased from 1.36% (95% CI, 1.04%-1.67%) per year preintervention to 6.20% (95% CI, 5.58%-6.78%) per year postintervention (P < .001). In-hospital all-cause mortality improved significantly from the preintervention to the postintervention period (9.93% vs 8.25%, respectively; adjusted odds ratio [OR], 0.89 [95% CI, 0.83-0.94], P < .001), symptomatic intracranial hemorrhage within 36 hours was less likely to occur (5.68% vs 4.68%; adjusted OR, 0.83 [95% CI, 0.76-0.91], P < .001), and discharge to home was more frequent (37.6% vs 42.7%; adjusted OR, 1.14 [95% CI, 1.09-1.19], P < .001). CONCLUSIONS AND RELEVANCE: Implementation of a national quality improvement initiative was associated with improved timeliness of tPA administration following AIS on a national scale, and this improvement was associated with lower in-hospital mortality and intracranial hemorrhage, along with an increase in the percentage of patients discharged home.
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 | 0,003 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».