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