Have a personal or library account? Click to login
Length of hospital stay and survival of hospitalized COVID-19 patients during the second wave of the pandemic: A single centre retrospective study from Slovenia Cover

Length of hospital stay and survival of hospitalized COVID-19 patients during the second wave of the pandemic: A single centre retrospective study from Slovenia

Slovenian Journal of Public Health
Volume 61 (2022): Issue 4 (December 2022)
By: Aleš Rozman,  Boštjan Rituper,  Mark Kačar,  Peter Kopač,  Mihaela Zidarn and  Maja Pohar Perme  
Open Access
|Sep 2022

Figures & Tables

Figure 1

Age distribution of the hospitalized COVID-19 patients with respect to sex. Left: all patients (n=407); right: patients in intensive care at any time point (n=33).
Age distribution of the hospitalized COVID-19 patients with respect to sex. Left: all patients (n=407); right: patients in intensive care at any time point (n=33).

Figure 2

The probability of length of stay for the hospitalized patients. Left: total time in hospital (based on n=396), middle: in ICU (n=33), right: in a regular ward after ICU discharge (n=17).
The probability of length of stay for the hospitalized patients. Left: total time in hospital (based on n=396), middle: in ICU (n=33), right: in a regular ward after ICU discharge (n=17).

Figure 3

The probability of being in a hospital ward, ICU, discharged or dead in terms of time for the hospitalized COVID-19 patients. Left: probability of being in a certain state with respect to days since being admitted to the hospital (n=396); right: probability of being in a certain state with respect to days since being transferred to ICU (n=33) (from darkest to lightest grey: death, regular ward, ICU and discharge).
The probability of being in a hospital ward, ICU, discharged or dead in terms of time for the hospitalized COVID-19 patients. Left: probability of being in a certain state with respect to days since being admitted to the hospital (n=396); right: probability of being in a certain state with respect to days since being transferred to ICU (n=33) (from darkest to lightest grey: death, regular ward, ICU and discharge).

Figure 4

Multistate model predictions: probability of state occupation in terms of time since hospital admission with respect to sex and age (from darkest to lightest grey: death, regular ward, ICU and discharge).
Multistate model predictions: probability of state occupation in terms of time since hospital admission with respect to sex and age (from darkest to lightest grey: death, regular ward, ICU and discharge).

The results of the multivariate Cox models modelling the hazard of dying and the hazard of being discharged_

Outcome = Death
Outcome = Discharge
HR95% CIP valueHR95% CIP value
Age (10yrs)3.39[2.35-4.83]<0.0010.74[0.67-0.82]<0.001
Sex (M vs F)2.29[1.33-3.96]0.0030.92[0.73-1.17]0.492
ICU2.88[1.54-5.41]<0.0010.25[0.14-0.45]<0.001
DOI: https://doi.org/10.2478/sjph-2022-0027 | Journal eISSN: 1854-2476 | Journal ISSN: 0351-0026
Journal RSS Feed
Language: English
Page range: 201 - 208
Submitted on: Jan 30, 2022
|
Accepted on: Jul 28, 2022
|
Published on: Sep 28, 2022
Published by: National Institute of Public Health, Slovenia
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
COVID-19,
mortality,
length of stay,
intensive care units,
hospital wards
Related subjects:
Medicine,
Clinical medicine,
Hygiene and environmental medicine

© 2022 Aleš Rozman, Boštjan Rituper, Mark Kačar, Peter Kopač, Mihaela Zidarn, Maja Pohar Perme, published by National Institute of Public Health, Slovenia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 61 (2022): Issue 4 (December 2022)Next article