Table 1 Nosocomial Infections and In-Hospital Mortality for the entire study population and stratified by days of pre-operative hospitalization and Logistic Regression Analysis for the Association of the Total Pre-Operative Hospital Stay on Infection and Mortality.

From: An Extended Duration of the Pre-Operative Hospitalization is Associated with an Increased Risk of Healthcare-Associated Infections after Cardiac Surgery

 

Total

≤2 days

3–7 days

>7 days

p-value

OR (95% CI)

p-value

*Adj. OR (95%CI)

p-value

Any Infection, n (%)

75 (38.5)

16 (28.5)

20 (31.7)

39 (52.0)

0.006

1.45 (1.08–1.95)

0.013

1.33 (1.01–1.12)

0.039

Surgical Site Infection, n (%)

9 (4.6)

0 (–)

3 (4.8)

6 (7.9)

0.034

1.57 (0.76–3.22)

0.222

 ns.

 

Central Venous Catheter Infection, n (%)

37 (19.0)

9 (16.1)

10 (15.9)

18 (23.7)

0.245

1.19 (0.84–1.71)

0.319

 ns.

 

Pneumonia, n (%)

17 (8.7)

4 (7.1)

2 (3.2)

11 (14.5)

0.049

1.27 (0.76–2.09)

0.358

 ns.

 

Urinary Tract Infection, n (%)

24 (12.3)

6 (10.7)

6 (9.5)

12 (15.8)

0.346

1.19 (0.78–1.83)

0.417

 ns.

 

Mortality, n (%)

6 (2.6)

0 (—)

0 (—)

6 (6.6)

0.019

1.13 (1.04–1.22)

0.003

1.19 (0.98–1.17)

0.110

  1. Categorical data are presented as counts and percentages, continuous data as medians and IQRs. Categorical data are analyzed using a test for linear association (Maentel–Haenszel chi-square test), continuous data using Kruskal–Wallis test for testing within the subgroups. Logistic regression model for the association of the total duration of the patients’ pre-operative hospital stay on the development of infections and major adverse events within the total study population. Odds ratios (OR) for continuous variables refer to an increase per day.
  2. *The multivariate model was adjusted for: Type of surgery and EuroScore II.
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