GWTG_HF v.1

The GWTG-HF (Get With The Guidelines in Heart failure) Risk Score estimates risk among heart failure patients using routinely collected clinical data.

Syeeda S Farruque

models@cambiocds.com

© Cambio Healthcare Systems

The GWTG-HR Risk Score provides an estimate for \"all-cause in-hospital\" mortality rates in patients who have been admitted with heart failure and the risk score can help to provide guidance to clinicians regarding tailoring medical treatment among the at risk patients. The variables are routinely collected for such patients.

By using routinely collected clinical data to predict in-hospital mortality for patients hospitalized with HF, medical treatments can be tailored more specifically. The variables measured include discretised values of: Heart rate/pulse Systolic Blood pressure Age Gender Whether Black race or not BUN (Blood Urea Nitrogen) Whether the patient has COPD or not The score ranges from 0 to 100, with scores 0-33 having <1% probability of death to scores over 79 having >50% probability of death. Also useful tool for patients with preserved or impaired LV systolic function. Score grading and associated probability of death in full can be seen in (1).

As with all tools of this nature, supplementary evidence and further investigation is needed to support the results of this tool if considering it towards a definative diagnosis. Any indications of high risk, must trigger early consultation.

Ref. 1: Peterson PN, et al. Circ Cardiovasc Qual Outcomes. A validated risk score for in-hospital mortality in patients with heart failure from the American Heart Association get with the guidelines program. 2010 Jan;3(1):25-32. doi: 10.1161/CIRCOUTCOMES.109.854877. Epub 2009 Dec 8. Ref. 2: Lagu T, Pekow PS et al. Validation and Comparison of Seven Mortality Prediction Models for Hospitalized Patients With Acute Decompensated Heart Failure. Circ Heart Fail. 2016 Aug;9(8).

openEHR-EHR-OBSERVATION.gwtg_hf, openEHR-EHR-OBSERVATION.blood_pressure, openEHR-EHR-OBSERVATION.lab_test-urea_and_electrolytes, openEHR-EHR-OBSERVATION.basic_demographic, openEHR-EHR-OBSERVATION.pulse