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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).