Copyright
©The Author(s) 2015.
World J Cardiol. Dec 26, 2015; 7(12): 902-911
Published online Dec 26, 2015. doi: 10.4330/wjc.v7.i12.902
Published online Dec 26, 2015. doi: 10.4330/wjc.v7.i12.902
Risk score | Data source | Publication year | Sample size(derivation) | Sample size(validation) | Validation | Model development | Endpoint |
In-hospital mortality | |||||||
ADHERE[15] | Registry | 2005 | 33046 | 32229 | External | Classification trees | In-hospital mortality |
AHFI[16] | Statewide databases | 2005 | 33533 | 8384 | External | Classification trees | In-hospital mortality and complications |
OPTIMIZE-HF[19] | Registry | 2008 | 37548 | 181830 | Internal/external | Logistic regression model | In-hospital mortality |
GWTG-HF[20] | Registry | 2010 | 27850 | 11933 | Internal/external | Logistic regression model | In-hospital mortality |
EHMRG[21] | Population-based cohort | 2012 | 7433 | 5158 | Internal/external | Logistic regression model | 7 d mortality |
PROTECT[23] | Clinical trial | 2012 | 2015 | 1435 | Internal/external (clinical trial population) | Cox proportional hazards model | Composite endpoint of death, worsening heart failure or heart failure rehospitalization |
Post-discharge mortality | |||||||
EFFECT[24] | Community | 2003 | 2624 | 1407 | Internal/external | Logistic regression model | 30 d mortality/1 yr mortality |
OPTIME-CHF[25] | Clinical trial | 2004 | 949 | - | Internal | Cox proportional hazards model | 60 d mortality |
OPTIMIZE-HF[26] | Registry | 2008 | 4402 | 949/433 | Internal/external (clinical trial population) | Cox proportional hazards model | 60-90 d post-discharge mortality |
APACHE-HF[27] | Community (single centre) | 2014 | 824 | - | - | Cox proportional hazards model | 90 d mortality |
ELAN[28] | Pooled data of seven cohorts | 2014 | 1301 | 325 | External (clinical trial population) | Cox proportional hazards model | 180 d mortality |
ADHF/NT-proBNP[29] | Community | 2013 | 453 | 371 | External | Logistic regression model | 1 yr mortality |
ESCAPE[30] | Clinical trial | 2010 | 433 | 471 | Internal/external (clinical trial population) | Cox proportional hazards model | 6 mo mortality |
Risk score | Variables |
ADHERE[15] | BUN, creatinine, SBP |
AHFI[16] | Gender, CAD, diabetes, lung disease, SBP, HR, respiratory rate, temperature, blood urea nitrogen, sodium, potassium, white blood cell count, acute myocardial infarction o myocardial ischemia at ECG, pulmonary congestion or pleural effusion on radiographic examination |
OPTIMIZE-HF[19] | Creatinine, sodium, age, HR, liver disease, previous CVA/TIA, peripheral vascular disease, race, left ventricular systolic dysfunction, COPD, SBP, previous HF hospitalization |
GWTG-HF[20] | Older age, low SBP, elevated heart rate, presence of COPD, and non-black race |
EHMRG[21] | HR, creatinine, systolic blood pressure initial oxygen saturation, serum troponin |
PROTECT[23] | BUN, respiratory rate, HR, albumin, cholesterol, diabetes, previous HF hospitalization |
EFFECT[24] | Age, SBP, BUN, sodium concentration, cerebrovascular disease, dementia, COPD, hepatic cirrhosis, cancer, hemoglobin |
OPTIME-CHF[25] | Age, BUN, SBP, sodium, NYHA class |
OPTIMIZE–HF[26] | Age, weight, SBP, serum creatinine, history of liver disease, history of depression history of reactive airway disease |
APACHE-HF[27] | Mean blood pressure, HR, serum sodium, serum potassium, creatinine, haematocrit, Glasgow coma scale, age |
ELAN[28] | NT-proBNP at discharge, NT-proBNP reduction, age, peripheral oedema, SBP, sodium, serum urea, NYHA class |
ADHF/NT-proBNP risk score[29] | COPD, SBP, eGFR, serum sodium, hemoglobin, NT-proBNP; left ventricular ejection fraction, tricuspid regurgitation |
ESCAPE[30] | Age, BUN, six-minute walk test, sodium, CPR/mechanical ventilation, diuretic dose at discharge, no-blocker at discharge, BNP |
Risk score | Calibration | C-statistic(derivation cohort) | C-statistic(validation cohort) | Low-risk group mortality (%) | High-risk group mortality (%) |
In-hospital mortality | |||||
ADHERE[15] | NV | 0.75 | 0.75 | 2.1 | 21.9 |
AHFI[16] | NV | NA | 0.59 | 0.3 | NA |
OPTIMIZE-HF[19] | NV1 | 0.75 | 0.746 | NA | NA |
GWTG-HF[20] | Calibrated | 0.75 | 0.75 | 0.4 | 9.7 |
EHMRG[21] | Calibrated | 0.80 | 0.803 | 0.3 | 8.2 |
PROTECT[23] | Calibrated | 0.67 | 0.67 | 4.81 | 28.72 |
Post-discharge mortality | |||||
EFFECT[24] | Calibrated | 0.80 (30 d) | 0.79 (30 d) | 0.4 (30 d) | 59 (30 d) |
0.77 (1 yr) | 0.76 (1 yr) | 7.8 (1 yr) | 78.8 (1 yr) | ||
OPTIME-CHF[25] | NV1 | 0.77 | 0.76 | 2 | 30 |
OPTIMIZE-HF[26] | NV | 0.72 | NA | NA | NA |
APACHE-HF[27] | NV | 0.78 | 202 | ||
ELAN[28] | NV | 0.77 | NA | 3.6 | 51.1 |
ADHF/NT-proBNP risk score[29] | Calibrated | 0.84 | 0.77 | 3.7 | 89.5 |
ESCAPE[30] | NV1 | 0.76 | 0.653 | 7 | 100 |
- Citation: Passantino A, Monitillo F, Iacoviello M, Scrutinio D. Predicting mortality in patients with acute heart failure: Role of risk scores. World J Cardiol 2015; 7(12): 902-911
- URL: https://www.wjgnet.com/1949-8462/full/v7/i12/902.htm
- DOI: https://dx.doi.org/10.4330/wjc.v7.i12.902