Diminished Physical Activity in Older Hospitalised Patients with and without COVID-19.
Karolina PiotrowiczIan PereraMonika RyśAnna SkalskaSuzy V HopeBarbara GryglewskaJean-Pierre MichelTomasz GrodzickiJerzy GasowskiPublished in: Journal of clinical medicine (2023)
Acute viral respiratory infections have proven to be a major health threat, even after the Corona Virus Disease 2019 (COVID-19) pandemic. We aimed to check whether the presence or absence of an acute respiratory infection such as COVID-19 can influence the physical activity of older hospitalised patients. We cross-sectionally studied patients aged ≥60 years, hospitalized during the pandemic in the non-COVID-19 and COVID-19 ward at the University Hospital, Kraków, Poland. Using activPAL3 ® technology, we assessed physical activity for 24 h upon admission and discharge. In addition, we applied the sarcopenia screening tool (SARC-F); measured the hand grip strength and calf circumference; and assessed the Modified Early Warning Score (MEWS), age-adjusted Charlson Index, SpO2%, and length of stay (LoS). Data were analysed using SAS 9.4. The mean (min, max) age of the 31 (58% women, eight with COVID-19) consecutive patients was 79.0 (62, 101, respectively) years. The daily time (activPAL3 ® , median [p5, p95], in hours) spent sitting or reclining was 23.7 [17.2, 24] upon admission and 23.5 [17.8, 24] at discharge. The time spent standing was 0.23 [0.0, 5.0] upon admission and 0.4 [0.0, 4.6] at discharge. The corresponding values for walking were 0.0 [0.0, 0.4] and 0.1 [0.0, 0.5]. SARC-F, admission hand grip strength, calf circumference, and LoS were correlated with physical activity upon admission and discharge (all p < 0.04). For every unit increase in SARC-F, there was a 0.07 h shorter walking time upon discharge. None of the above results differed between patients with and without COVID-19. The level of physical activity in older patients hospitalised during the pandemic was low, and was dependent on muscular function upon admission but not on COVID-19 status. This has ramifications for scenarios other than pandemic clinical scenarios.
Keyphrases
- coronavirus disease
- sars cov
- physical activity
- emergency department
- end stage renal disease
- body mass index
- respiratory syndrome coronavirus
- ejection fraction
- newly diagnosed
- chronic kidney disease
- healthcare
- prognostic factors
- peritoneal dialysis
- mental health
- liver failure
- public health
- climate change
- type diabetes
- metabolic syndrome
- machine learning
- patient reported outcomes
- adipose tissue
- community dwelling
- big data
- deep learning
- electronic health record
- respiratory failure
- mechanical ventilation