So sánh phương pháp

	Điểm Cảnh báo Sớm Điều chỉnh	Điểm qSOFA	Thang điểm Wells cho DVT
Lĩnh vực	Đánh giá lâm sàng	Đánh giá lâm sàng	Đánh giá lâm sàng
Họ	Process / pipeline	Process / pipeline	Process / pipeline
Năm ra đời	2001	2016	1994
Người khởi xướng	Christian P. Subbe, et al.	Sepsis-3 Taskforce	Philip S. Wells
Loại	Hospital ward deterioration warning system	Rapid sepsis screening	Venous thromboembolism risk stratification
Công trình gốc	Subbe, C. P., Kruger, M., Rutherford, P., & Gemmel, L. (2001). Validation of a modified Early Warning Score in medical admissions. QJM: An International Journal of Medicine, 94(10), 521-526.	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.
Tên gọi khác	MEWS, Early warning score	Quick SOFA, qSOFA	Wells DVT Score, DVT Wells
Liên quan	3	3	3
Tóm tắt	The Modified Early Warning Score (MEWS), introduced by Subbe et al. in 2001, is a 14-point alert system designed for rapid detection of clinical deterioration in hospitalized patients. It combines six vital sign and laboratory parameters to identify patients at high risk of rapid decline, enabling early intervention before critical events occur.	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.