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. 2019 Feb 22;14(2):e0212661. doi: 10.1371/journal.pone.0212661

Table 7. Binary logistic regression analysis for predictors of prolonged length of stay for hospitalized patients with systemic bacterial infection in the internal medicine ward of TASH in 2014, Addis Ababa, Ethiopia.

Variables Prolonged LoS (> 16 days) (yes) (%) COR (95% CI) AOR (95% CI)
Aspirational pneumonia (yes) 7(25.9) 0.38 (0.16, .93)* 0.56 (0.21, 1.52)
Hospital acquired pneumonia (yes) 17(81.0) 5.65 (1.85, 17.26)** 1.18 (0.28, 4.96)
Meningitis (yes) 4(22.2) 0.22 (0.06, 0.77)* 0.25 (0.07, 0.93)
Origin of infection
Unknown 69(413) 1.00 (Reference)
 Community Acquired 36(45.0) 1.16 (0.68, 1.99) 1.83 (0.93, 3.59)
 Hospital acquired 24(68.6) 3.20 (1.42, 6.74)** 3.01 (1.05, 8.62)
Ceftazidime (yes) 27(75.0) 3.74 (1.64, 8.52)** 2.64 (0.90, 7.73)
Vancomycin (yes) 50(61.7) 2.00 (1.18, 3.41)* 0.80 (0.34, 1.89)
Ciprofloxacin (yes) 37(61.7) 2.16 (1.18, 3.91)* 1.28 (0.60, 2.75)
Antibiotic days (median) (> 10 days) 104 (72.7) 5.95 (3.56, 9.96) *** 4.05 (1.96, 8.37)
Agent days (median) (> 15 days) 19(30.2) 4.24 (2.58, 6.99) 2.18 (1.01, 4.68)
Adjustment to Empiric therapy
No change 74(38.3) 1.00 (Reference)
 Modified 54(66.7) 3.22 (1.86. 5.55)*** 1.07 (0.51, 2.27)
 Discontinued 1(12.5) 0.23 (0.03, 1.91) 1.99 (0.39, 10.12)

*p < 0.05;

**p< 0.01,

***p< 0.001;

COR: crud odds ratio; AOR: Adjusted odds ratio; CI: confidence interval