Comparer des méthodes

	Score de sévérité de la pneumonie CURB-65	Score qSOFA	Score de Wells pour la TVP
Domaine	Évaluation clinique	Évaluation clinique	Évaluation clinique
Famille	Process / pipeline	Process / pipeline	Process / pipeline
Année d'origine	2003	2016	1994
Auteur d'origine	W. Staniford Lim, et al.	Sepsis-3 Taskforce	Philip S. Wells
Type	Community-acquired pneumonia severity assessment	Rapid sepsis screening	Venous thromboembolism risk stratification
Source fondatrice	Lim, W. S., van der Eerden, M. M., Laing, R., et al. (2003). Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study. Thorax, 58(5), 377-382.	Singer, M., Deutschman, C. S., Seymour, C. W., et al. (2016). The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA, 315(8), 801-810.	Wells, P. S., Hirsh, J., Anderson, D. R., et al. (1994). A simple clinical model for the diagnosis of deep-vein thrombosis combined with impedance plethysmography. Archives of Internal Medicine, 154(13), 1541-1546.
Alias	CURB-65, Pneumonia severity	Quick SOFA, qSOFA	Wells DVT Score, DVT Wells
Apparentées	3	3	3
Résumé	CURB-65, derived and validated by Lim et al. in 2003, is a 5-point severity of illness score for community-acquired pneumonia (CAP). It assesses confusion, urea nitrogen, respiratory rate, blood pressure, and age ≥65 years to stratify mortality risk and guide admission and treatment decisions.	The Quick Sequential Organ Failure Assessment (qSOFA) score, introduced by the Sepsis-3 taskforce in 2016, is a rapid 3-variable bedside screening tool for identifying non-ICU patients at high risk of sepsis-related mortality. It uses altered mentation, systolic hypotension, and tachypnea to quickly stratify patients without requiring laboratory testing.	The Wells score, developed by Wells et al. in 1994, is a clinical prediction rule that stratifies patients into low, intermediate, or high pretest probability of deep vein thrombosis (DVT). It combines seven clinical features to guide diagnostic testing decisions and reduce unnecessary imaging in suspected DVT patients.