A focused collection of 22 calculators, scores, and clinical references.
6-Minute Walk Distance (6MWD): Explanation and Clinical Context The 6-Minute Walk Distance (6MWD) is a simple and validated test used to assess functional capacity and prognostic status in patients with cardiovascular and pulmonary diseases. It measures the distance a patient can walk on a flat surface within six minutes, integrating cardiac output, pulmonary function, peripheral muscle oxygen utilization, and motiva
ADHERE Tree Model: Explanation and Clinical Context The ADHERE Tree Model is a validated bedside tool to estimate in-hospital mortality risk for patients admitted with acute decompensated heart failure (ADHF). It uses three key clinical variables readily available at hospital admission: Blood Urea Nitrogen (BUN), Systolic Blood Pressure (SBP), and Serum Creatinine. Based on these values, patients are stratified into
AHEAD Score: Explanation and Clinical Context The AHEAD Score is a validated bedside tool to estimate short-term mortality risk in patients hospitalized for acute heart failure (AHF). It was derived from the Czech AHEAD (Acute HEart failure Database) registry, encompassing over 4,500 patients. The acronym AHEAD represents five independent risk predictors: Atrial fibrillation, Hemoglobin below normal, Elderly (>70 yea
BCN Bio-HF Score: Explanation and Clinical Context BCN Bio-HF Score is a biomarker-based risk model developed to predict long-term mortality in patients with chronic heart failure and reduced ejection fraction (HFrEF). It uses a combination of clinical variables and circulating biomarkers, including BNP/NT-proBNP and high-sensitivity troponin, to enhance risk stratification beyond traditional clinical scores. The sco
BioHF Score: Explanation and Clinical Context The BioHF Score (modelled after the BCN Bio-HF Calculator) integrates clinical variables (age, sex, NYHA class, LVEF, serum sodium, eGFR, hemoglobin, loop diuretic dose, and therapy status such as β-blocker, ACEI/ARB, statin) together with key biomarkers (NT-proBNP, high-sensitivity troponin T, and soluble ST2) to estimate individual mortality risk at 1, 2 and 3 years in
COACH Score: Explanation and Clinical Context The COACH Score is a validated risk stratification tool for patients with chronic heart failure, predicting mortality and risk of hospital readmission. It incorporates age, sex, NYHA functional class, left ventricular ejection fraction, systolic blood pressure, serum creatinine, and prior heart failure hospitalization, with weighted points derived from the COACH study. Th
EFFECT Risk Score: Explanation and Clinical Context The EFFECT Risk Score is a validated clinical tool developed to predict in-hospital and 30-day mortality in patients hospitalized with acute decompensated heart failure (ADHF). It incorporates key clinical variables including age, systolic blood pressure, serum sodium, serum creatinine, history of heart failure, and presence of diabetes. Each variable is assigned po
EHMRG (Emergency Heart Failure Mortality Risk Grade): Explanation and Clinical Context EHMRG is a validated risk scoring tool developed to predict short-term mortality (typically 7-day) in patients presenting to the emergency department with acute decompensated heart failure. It incorporates readily available clinical and laboratory variables including age, systolic blood pressure, heart rate, oxygen saturation, seru
About This Calculator Ejection Fraction (EF) menggambarkan persentase darah yang dipompa ventrikel kiri setiap siklus. Perhitungan ini menggunakan rumus: EF = (SV / EDV) × 100. Pada konteks klinis, EF menjadi salah satu indikator utama fungsi sistolik ventrikel kiri. Nilai ≥ 50% dianggap normal, 40–49% menunjukkan mild LV dysfunction, dan < 40% mengarah pada reduced EF yang sering terkait dengan heart failure dengan
ESCAPE Risk Model: Explanation and Clinical Context ESCAPE Risk Model (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness) is a validated tool developed to predict short-term mortality in patients hospitalized with advanced acute decompensated heart failure. It incorporates clinical variables readily available at admission and early hospitalization, including age, systolic
Get With The Guidelines�Heart Failure (GWTG-HF) Risk Score: Explanation and Clinical Context GWTG-HF Risk Score is a validated tool to estimate in-hospital mortality risk for patients admitted with acute decompensated heart failure. It uses simple clinical variables available at hospital admission, including age, systolic blood pressure, heart rate, serum sodium, blood urea nitrogen, COPD status, and race. The total
Age (years) Sex (0 = female, 1 = male) Left Ventricular Ejection Fraction (LVEF %) NYHA Functional Class (II=2, III=3, IV=4) Baseline Exercise Duration (minutes) Baseline Kansas City Cardiomyopathy Questionnaire (KCCQ) Symptom Stability Score (0-100) Serum Blood Urea Nitrogen (BUN) – mg/dL HF-ACTION Predictive Risk Score Model: Explanation and Clinical Context The HF-ACTION Predictive Risk Score Model was derived fro
INTERMACS Profile: Explanation and Clinical Context The INTERMACS (Interagency Registry for Mechanically Assisted Circulatory Support) Profile system is a standardized classification scheme to describe the clinical severity of advanced heart failure. It stratifies patients into seven profiles (1–7) ranging from critical cardiogenic shock to advanced but stable NYHA class III disease. Profiles 1–3 represent patients w
MAGGIC Risk Score: Comprehensive Explanation and Clinical Context The MAGGIC (Meta-Analysis Global Group in Chronic Heart Failure) Risk Score is a validated clinical tool developed from over 39,000 patients with heart failure across 30 cohort studies. It predicts all-cause mortality in both HFrEF and HFpEF patients by integrating 13 routinely available variables such as age, sex, NYHA class, LVEF, blood pressure, BMI
MEESSI-AHF Score: Explanation and Clinical Context MEESSI-AHF Score is a validated risk stratification tool for patients admitted with acute heart failure. It predicts in-hospital and 30-day post-discharge mortality using variables readily available at hospital admission, including age, systolic blood pressure, heart rate, renal function (BUN, creatinine), cardiac biomarkers (troponin, BNP/NT-proBNP), and prior heart
MELD-XI Score: Explanation and Clinical Context The MELD-XI Score (Model for End-Stage Liver Disease Excluding INR) is a validated modification of the original MELD score, designed to assess combined hepatic and renal dysfunction in patients with advanced heart failure, especially those being evaluated for heart transplantation. Unlike the traditional MELD score, MELD-XI omits INR from the equation to avoid distortio
NYHA Functional Class: Explanation and Clinical Context The NYHA (New York Heart Association) Functional Classification is a widely used system to assess the severity of heart failure symptoms and their impact on physical activity. It classifies patients into four categories: Class I (no limitation of physical activity), Class II (slight limitation), Class III (marked limitation), and Class IV (symptoms at rest). Thi
OPTIMIZE-HF Risk Score: Explanation and Clinical Context OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) Score is a validated clinical tool developed to estimate in-hospital mortality risk for patients admitted with acute decompensated heart failure. It uses readily available clinical variables at hospital admission including age, systolic blood pressure, h
Pro-BNP Risk Score: Explanation and Clinical Context The Pro-BNP Risk Score is a validated clinical tool used to estimate the risk of adverse outcomes, including hospitalization and mortality, in patients with heart failure. It is primarily based on serum NT-proBNP levels, reflecting myocardial wall stress, combined with clinical variables such as age. Higher NT-proBNP levels and older age are associated with increas
Redin-SCORE: Explanation and Clinical Context Redin-SCORE is a validated tool designed to predict 1-year risk of heart failure hospitalization or cardiovascular death in patients with chronic heart failure. It incorporates key clinical and laboratory parameters including age, NYHA class, left ventricular ejection fraction (LVEF), previous heart failure hospitalization, B-type natriuretic peptide (BNP), and serum crea
Seattle Heart Failure Model (SHFM): Explanation and Clinical Context The SHFM is a validated multivariable model to estimate mortality risk in patients with chronic heart failure based on clinical, laboratory, and treatment variables. It was developed using data from the PRAISE I cohort and externally validated in multiple populations. The model calculates a risk score (SHFM Score) using regression coefficients appli
SHOCK Score: Explanation and Clinical Context The SHOCK Score was developed from the SHOCK Trial Registry to predict short-term mortality among patients presenting with cardiogenic shock following acute myocardial infarction. This score integrates seven readily available clinical variables: age > 75 years, female gender, anterior myocardial infarction, previous MI, serum creatinine > 1.9 mg/dL, altered mental status,