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Portuguese Version Validation and Predictive Performance of the Heart Failure Symptom Tracker (HFaST) for 3- and 6-Month Hospitalizations
Session:
SESSÃO DE POSTERS 21 - IC E PROGNÓSTICO
Speaker:
Maria Inês Antunes Da Conceição Perez
Congress:
CPC 2025
Topic:
D. Heart Failure
Theme:
10. Chronic Heart Failure
Subtheme:
10.2 Chronic Heart Failure – Epidemiology, Prognosis, Outcome
Session Type:
Cartazes
FP Number:
---
Authors:
Inês Antunes Perez; Joana Seringa; Teresa Magalhães; Ana Teresa Timóteo
Abstract
<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Aptos,sans-serif"><strong>Background:</strong> Heart Failure (HF) is a global public health challenge with high morbidity and mortality rates. Effective symptom management tools, such as the Heart Failure Symptom Tracker (HFaST), improve early detection of worsening symptoms and support the prediction of hospitalisation risk, as the European Cardiology Society recommends. This study aimed to validate a translated version of the HFaST tool in a Portuguese sample of patients with HF and confirm its ability to predict HF hospitalisations at 3 and 6 months.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Aptos,sans-serif"><strong>Methods:</strong> This single-centre Portuguese cross-sectional study was conducted at one Outpatient HF Consultation. Inclusion criteria were adult patients diagnosed with HF and followed up at this consultation. Exclusion criteria were applied to individuals unable to read, answer, or complete questionnaires. A baseline demographic and clinical assessment were collected, along with the Portuguese versions of the HFaST tool and the KCCQ-23. HF-related hospitalisations were monitored at 3 and 6 months post-questionnaire completion. </span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Aptos,sans-serif"><strong>Results: </strong>This study included 60 participants (24 females and 36 males, mean age 63.8 ± 11.8 years). Ischaemic heart disease was the leading cause of HF (43.3%), with most in NYHA classes I (36.7%) and II (50%) and 23.4% reported prior HF-related hospitalisations. The Portuguese HFaST version demonstrated acceptable reliability, with a Cronbach’s Alpha of 0.724 and showed moderate to strong inter-item correlations. Significant inverse correlations were observed between the HFaST and corresponding KCCQ-23 items, supporting its psychometric validity in assessing symptoms in HF patients. Univariable linear regression analysis revealed a significant association between higher HFaST scores and the likelihood of hospitalisation at both 3 months (β = 0.218, p = 0.014, Exp(B) = 1.243) and 6 months (β = 0.247, p = 0.023, Exp(B) = 1.280). ROC curve analysis demonstrated moderate to high predictive power, with AUC = 0.803 for 3 months and AUC = 0.822 for 6 months, confirming the HFaST scores' capacity to predict hospitalisation risk over both periods.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Aptos,sans-serif"><strong>Conclusion: </strong>The Portuguese version of the HFaST demonstrated reliable psychometric validity and predictive capacity for short-term HF-related hospitalisations in the Portuguese population. Despite the limitation of not adjusting for confounders in the regression analysis, this study supports the HFaST as an effective screening tool for identifying high-risk HF patients, guiding personalised interventions for better disease management, and preventing hospitalisations.</span></span></p>
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