Dataset Information

Feasibility and safety of 1-min sit-to-stand test in acute decompensated heart failure confirmed by lung ultrasound.

ABSTRACT:

Aim

This study innovatively proposed the 1-min sit-to-stand test (1-min STST) as an assessment tool for functional capacity in acute decompensated heart failure (ADHF), in which its feasibility and safety were investigated.

Methods

This was a prospective, single-center cohort study. The 1-min STST was performed after the first 48 h of admission when vital signs and Borg score were collected. Lung ultrasound was used to measure pulmonary edema by B-lines before and after the test.

Results

Seventy-five patients were enrolled in the study, of whom 40% were in functional class IV on admission. The mean age was 58.3 ± 15.7 years and 40% of the patients were male. 95% patients accomplished the test and the average number of repetitions was 18 ± 7. No adverse event was recorded during or after the 1-min STST. Blood pressure, heart rate, and degree of dyspnea were increased after the test (all p < 0.001), while oxygen saturation was slightly decreased (97.0 ± 1.6 vs. 96.3 ± 2.0%, p = 0.003). The degree of pulmonary edema (χ² = 8.300, p = 0.081) was not significantly changed, while there was a reduction in the absolute number of B-lines [9 (3, 16) vs. 7 (3, 13), p = 0.008].

Conclusion

The application of the 1-min STST in early stage of ADHF appeared to be safe and feasible, which induce neither adverse event nor pulmonary edema. It may serve as a new tool of functional capacity assessment, as well as a reference of exercise rehabilitation.

SUBMITTER: Zhang X

PROVIDER: S-EPMC10030608 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Feasibility and safety of 1-min sit-to-stand test in acute decompensated heart failure confirmed by lung ultrasound.

Zhang Xiu X Kang Yu Y Luo Zeruxin Z Chen Qiaowei Q Yang Mengxuan M Zeng Jijuan J Yu Pengming P Zhang Qing Q

Frontiers in cardiovascular medicine 20230308

<h4>Aim</h4>This study innovatively proposed the 1-min sit-to-stand test (1-min STST) as an assessment tool for functional capacity in acute decompensated heart failure (ADHF), in which its feasibility and safety were investigated.<h4>Methods</h4>This was a prospective, single-center cohort study. The 1-min STST was performed after the first 48 h of admission when vital signs and Borg score were collected. Lung ultrasound was used to measure pulmonary edema by B-lines before and after the test.< ...[more]

PMID: 36970350

Similar Datasets

Project description:Background. In older patients, hospitalization is associated with a decline in functional performance and loss of muscle strength. Loss of muscle strength and functional performance can be prevented by systematic strength training, but details are lacking regarding the optimal exercise program and dose for older patients. Therefore, our aim was to test the feasibility of a progression model for loaded sit-to-stand training among older hospitalized patients. Methods. This is a prospective cohort study conducted as a feasibility study prior to a full-scale trial. We included twenty-four older patients (≥65 yrs) acutely admitted from their own home to the medical services of the hospital. We developed an 8-level progression model for loaded sit-to-stands, which we named STAND. We used STAND as a model to describe how to perform the sit-to-stand exercise as a strength training exercise aimed at reaching a relative load of 8-12 repetitions maximum (RM) for 8-12 repetitions. Weight could be added by the use of a weight vest when needed. The ability of the patients to reach the intended relative load (8-12 RM), while performing sit-to-stands following the STAND model, was tested once during hospitalization and once following discharge in their own homes. A structured interview including assessment of possible modifiers (cognitive status by the Short Orientation Memory test and mobility by the De Morton Mobility Index) was administered both on admission to the hospital and in the home setting. The STAND model was considered feasible if: (1) 75% of the assessed patients could perform the exercise at a given level of the model reaching 8-12 repetitions at a relative load of 8-12 RM for one set of exercise in the hospital and two sets of exercise at home; (2) no ceiling or floor effect was seen; (3) no indication of adverse events were observed. The outcomes assessed were: level of STAND attained, the number of sets performed, perceived exertion (the Borg scale), and pain (the Verbal Ranking Scale). Results. Twenty-four patients consented to participate. Twenty-three of the patients were tested in the hospital and 19 patients were also tested in their home. All three criteria for feasibility were met: (1) in the hospital, 83% could perform the exercise at a given level of STAND, reaching 8-12 repetitions at 8-12 RM for one set, and 79% could do so for two sets in the home setting; (2) for all assessed patients, a possibility of progression or regression was possible-no ceiling or floor effect was observed; (3) no indication of adverse events (pain) was observed. Also, those that scored higher on the De Morton Mobility Index performed the exercise at higher levels of STAND, whereas performance was independent of cognitive status. Conclusions. We found a simple progression model for loaded sit-to-stands (STAND) feasible in acutely admitted older medical patients (≥65 yrs), based on our pre-specified criteria for feasibility.

Project description:The sit-to-stand test is commonly used by clinicians and researchers to analyze the functional capacity of older adults. The test consists to stand up and sit down from a chair and can be applied either in function of a predetermined number of repetitions to be completed or according to a specific time. The most common tool used by the evaluators is the chronometer, due to its low cost and ease of use. However, this tool may miss some important data throughout the test, such as the stand-up time and the total time of each repetition, as well as other kinematic and kinetic variables. Therefore, it is necessary to develop new cheap and affordable tools to capture these data with reliability. In this perspective, the development of mobile applications can be a valid and reliable alternative for the automatic calculation of different variables with sensors' data, including acceleration, velocity, force, power, and others. Thus, in this paper, we present a dataset related to the acquisition of the accelerometer data from a commodity smartphone for the measurement of different variables during the sit-to-stand test with institutionalized older adults. Forty participants (20 men and 20 women, 78.9 ± 8.6 years old, 71.7 ± 15.0 kg, 1.57 ± 0.1 m) from five community-dwelling centers (Centro de Dia e Apoio Domiciliário de Alcongosta, Lar Nossa Senhora de Fátima, Centro Comunitário das Minas da Panasqueira, Lar da Misericórdia, and Lar da Aldeia de Joanes) from Fundão, in Portugal, volunteered to participate in the data acquisition. A mobile phone was attached to the waist of the participants to capture the data during the sit-to-stand test. Then, seated in an armless chair with the arms crossed over the chest, the participants stood up and sat down in a chair six times. The stand-up action was ordered by an acoustic signal emitted by the mobile application. All data were acquired with the mobile application, and the outcome measures were the reaction time, total time, stand-up time and movement time. This paper describes the procedures to acquire the data. These data can be reused for testing machine learning or other methods for the evaluation of neuromuscular function in older adults during the sit-to-stand test.

Dataset Information

Feasibility and safety of 1-min sit-to-stand test in acute decompensated heart failure confirmed by lung ultrasound.

Aim

Methods

Results

Conclusion

Publications

Feasibility and safety of 1-min sit-to-stand test in acute decompensated heart failure confirmed by lung ultrasound.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets