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<p>Data from 5173 patients hospitalized for COVID-19 at the University Hospital of Ostrava (UHO) between March 2020 and December 2021 were analysed in this retrospective study. The research aimed to find out whether the comorbidities being present increased the need for acute rehabilitation during COVID-19 hospitalization. Data were examined using descriptive statistics, Spearman's correlation coefficient, and binomial logistic regression. Among the total patient cohort (n = 5173), 27% required rehabilitation (RHB). The average age of patients was 64.9 ± 16.9&#xa0;years, with rehabilitation durations ranging from 1 to 102&#xa0;days. Of the rehabilitated patients, 92% (n = 1302) had hospital stays from 1 to 15&#xa0;days, while 8% (n = 114) stayed more than 15&#xa0;days. Patients had a median of 4 diagnoses each, with approximately one-fifth having more than six diagnoses. A weak but statistically significant positive association was observed for the length of rehabilitation and the number of diagnoses (Spearman’s correlation coefficient rs = 0.24). Adjusted statistical analysis revealed that patients with concomitant neurological conditions (G62, G81 according to ICD-10) (OR = 8.4; 95% CI 4.82–14.67) and certain respiratory diseases had the highest likelihood of requiring rehabilitation during their COVID-19 hospitalization. Additionally, patients with obesity were approximately 1.4 times more likely to need RHB than non-obese patients. The need for rehabilitation increased with the number of comorbidities, with the greatest need connected with neurological diagnosis. In light of these findings, more effective strategies for diagnosis, treatment and prevention can be developed for future epidemics or pandemics. It is imperative to reinforce health recommendations. The analysis of data enables the formulation of evidence-based public health guidelines that can serve as the foundation for a prompt and effective response in the event of another pandemic.</p>

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The Impact of Selected Comorbidities on the Necessity for Physiotherapy in Patients Hospitalised with COVID-19

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年1月29日

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  • Dalibor Pastucha,
  • Zdeněk Guřan,
  • Zuzana Sněhotová,
  • Rastislav Maďar,
  • Lucie Honzíková,
  • Hana Tomášková

摘要

Data from 5173 patients hospitalized for COVID-19 at the University Hospital of Ostrava (UHO) between March 2020 and December 2021 were analysed in this retrospective study. The research aimed to find out whether the comorbidities being present increased the need for acute rehabilitation during COVID-19 hospitalization. Data were examined using descriptive statistics, Spearman's correlation coefficient, and binomial logistic regression. Among the total patient cohort (n = 5173), 27% required rehabilitation (RHB). The average age of patients was 64.9 ± 16.9 years, with rehabilitation durations ranging from 1 to 102 days. Of the rehabilitated patients, 92% (n = 1302) had hospital stays from 1 to 15 days, while 8% (n = 114) stayed more than 15 days. Patients had a median of 4 diagnoses each, with approximately one-fifth having more than six diagnoses. A weak but statistically significant positive association was observed for the length of rehabilitation and the number of diagnoses (Spearman’s correlation coefficient rs = 0.24). Adjusted statistical analysis revealed that patients with concomitant neurological conditions (G62, G81 according to ICD-10) (OR = 8.4; 95% CI 4.82–14.67) and certain respiratory diseases had the highest likelihood of requiring rehabilitation during their COVID-19 hospitalization. Additionally, patients with obesity were approximately 1.4 times more likely to need RHB than non-obese patients. The need for rehabilitation increased with the number of comorbidities, with the greatest need connected with neurological diagnosis. In light of these findings, more effective strategies for diagnosis, treatment and prevention can be developed for future epidemics or pandemics. It is imperative to reinforce health recommendations. The analysis of data enables the formulation of evidence-based public health guidelines that can serve as the foundation for a prompt and effective response in the event of another pandemic.