Порівняння методів

	Модифікована шкала раннього попередження	Шкала qSOFA	Шкала Веллса для ДВТ
Галузь	Клінічна оцінка	Клінічна оцінка	Клінічна оцінка
Родина	Process / pipeline	Process / pipeline	Process / pipeline
Рік появи	2001	2016	1994
Автор методу	Christian P. Subbe, et al.	Sepsis-3 Taskforce	Philip S. Wells
Тип	Hospital ward deterioration warning system	Rapid sepsis screening	Venous thromboembolism risk stratification
Основоположне джерело	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.
Інші назви	MEWS, Early warning score	Quick SOFA, qSOFA	Wells DVT Score, DVT Wells
Пов'язані	3	3	3
Підсумок	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.