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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


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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
HR 95% CI P value HR 95% CI P value
Age (10yrs) 3.39 [2.35-4.83] <0.001 0.74 [0.67-0.82] <0.001
Sex (M vs F) 2.29 [1.33-3.96] 0.003 0.92 [0.73-1.17] 0.492
ICU 2.88 [1.54-5.41] <0.001 0.25 [0.14-0.45] <0.001
eISSN:
1854-2476
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Medicine, Clinical Medicine, Hygiene and Environmental Medicine