Key result
Novel risk calculator identifies indications for unscheduled cardiology visits with an AUC of ~0.93.
Why the study?
The study aimed to develop and validate a calculator program for assessing the risk of acute decompensation of heart failure in outpatients with HFrEF.
Does a computer-based dynamic risk calculator program using monthly telephone symptom interviews accurately identify the need for unscheduled medical visits or emergency hospitalization in outpatients with HFrEF?
RCT (n=652)
Simple random sampling
No
Does a computer-based dynamic risk calculator program using monthly telephone symptom interviews accurately identify the need for unscheduled medical visits or emergency hospitalization in outpatients with HFrEF?
A computer-based risk calculator utilizing monthly paramedic-led telephone interviews demonstrated high specificity and good sensitivity for identifying HFrEF outpatients requiring unscheduled medical visits or emergency hospitalization.
Objective: to develop and validate a calculator program for assessing the risk of acute decompensation of heart failure in outpatients with heart failure with reduced left ventricular ejection fraction (HFrEF). Material and methods. A single-center randomized clinical retrospective-prospective study included 652 patients with HFrEF followed at a Heart Failure Center, aged 62.5 (61; 68.5) years; 545 (83.6 %) were men. Of these, 106 patients were selected by simple random sampling to form the validation group. In this group, monthly telephone interviews were conducted by a paramedic from the chronic heart failure center using a structured questionnaire focused on symptoms of fluid retention. The data were entered into a computer-based calculator program, which generated recommendations (emergency hospitalization, unscheduled cardiology visit, or continued follow-up) displayed on the monitor. Validation was performed by retrospectively comparing the calculator’s recommendations with actual adverse events over one year of follow-up. Cases of emergency hospitalization and unscheduled medical visits were recorded. Results. For identifying indications for unscheduled visits, the calculator showed a sensitivity of 85.5 %, specificity of 99.5 %, and area under the ROC curve (AUC) of 0.925. For identifying indications for any medical contact, sensitivity was 73.5 %, specificity 99.7 %, and AUC 0.866. Overall performance for determining the need for any medical contact was: sensitivity 73.5 %, specificity 99.7 %, AUC 0.866. Conclusions. The developed calculator program effectively identifies cases requiring medical attention in various forms, and its recommendations for unscheduled visits or emergency hospitalization are justified in the vast majority of cases.
No takes yet. Share an insight, caveat, or question.
Лебедева et al. (2026) conducted an RCT in Heart failure with reduced left ventricular ejection fraction (HFrEF) (n=652). Computer-based calculator program for dynamic risk assessment of heart failure decompensation vs. Actual adverse events (emergency hospitalization and unscheduled medical visits) was evaluated on Diagnostic accuracy for identifying indications for unscheduled visits and any medical contact (emergency hospitalization or unscheduled cardiology visit) (AUC 0.925 (unscheduled visits); AUC 0.866 (any medical contact)). The risk-assessment calculator identified indications for unscheduled visits with 85.5% sensitivity, 99.5% specificity, and AUC 0.925, and for any medical contact with AUC 0.866.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: