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Introduction: Heart failure (HF), among cardiovascular diseases, is the disease that has been increasing its incidence and prevalence the most in recent years in the world population, due to the aging of the population. In addition, HF is the most frequent hospital diagnosis in the elderly, and is the main cause of hospitalization, with significant expenditure in public and private health care worldwide. Some functional tests have been used to predict the prognosis in patients with HF, however, the use of the 1-minute sit-to-stand test (SST1) to predict prognosis in HF has little scientific evidence, due to the lack of studies found in the literature for this population. Thus, the present study aims to evaluate the association between SST1 at discharge from the Cardio Intensive Care Unit (ICU) and the clinical outcome after 90 days in patients hospitalized for decompensated heart failure (DHF). Methods: This is a prospective cohort study analyzing the association between performance on the TSL1 and clinical outcome in patients hospitalized for DHF from June 2025 to October 2025. Sociodemographic, family, social, and clinical data will be collected from the participants, after which the TSL1 will be performed. The outcome of death and hospital readmission within 90 days after discharge from the ICU will be identified through telephone contact, which will be carried out by the researcher. Expected results: It is expected that from the results of this study it will be possible to understand whether performance on the TSL1 predicts clinical outcome for patients hospitalized for DHF and that it will even be possible to determine a cutoff point capable of predicting the outcomes of interest.
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This is a prospective cohort study analyzing the association between TSL1 performance and clinical and functional outcomes within 90 days after discharge of patients who were hospitalized for CDI between June 2025 and October 2025. Data will be collected by the researcher and the institution's senior physiotherapist team, and the team will be trained to reduce the risk of bias. A document form will be made available for completion during the evaluation, and sociodemographic data will also be collected from the electronic medical record.
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68 participants in 1 patient group
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Daiane Nascimento Camêlo, Master's student
Data sourced from clinicaltrials.gov
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