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Table 6 Logistic regression of deaths in a cohort of 100 patients admitted with fever in a tertiary hospital in South India associated with characteristics and comorbidity

From: Fever in the tropics: aetiology and case-fatality - a prospective observational study in a tertiary care hospital in South India

Variables

N

Deaths (n = 7)

  

Yes

No

Unadjusteda

Fully adjustedb

Final modelc

  

n (%)

n (%)

OR

95% CI

p-value

OR

95% CI

p-value

OR

95% CI

p-value

Gender

            

  Women

39

1 (2.6)

38(97.4)

Ref.

  

Ref.

     

  Men

60

6(10.0)

54(90.0)

4.22

(0.49,36.51)

0.191

4.72

(0.44,51.16)

0.202

   

Age

            

per 10 yearsd

98

56.7

36.0

2.46

(1.38,4.37)

0.002

2.42

(1.20, 4.91)

0.014

2.44

(1.37,4.34)

0.002

Fever duration d

98

5.4

5.1

1.00

(0.90,1.10)

0.930

0.97

(0.83, 1.12)

0.692

   

Comorbidity

            

  Diabetes

24

4(16.7)

19(79.2)

5.20

(1.07,25.20)

0.041

1.15

(0.14, 9.38)

0.898

   

  HIV

6

0 (0.0)

6 (100)

.00

0.00

0.999

0.00

.00

0.999

   
  1. Abbreviations: OR odds ratio, CI confidence interval, HIV human immune deficiency virus.
  2. aSimple binary logistic regression analyses
  3. bMultiple binary logistic regression analysis including all variables in one model.
  4. cBackward stepwise elimination of variables with likelihood ratio test p-value ≤ 0.05 starting from fully adjusted model.
  5. dData are given as mean age (years) and mean fever duration (weeks).
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BMC Infectious Diseases

ISSN: 1471-2334

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