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Table 2 Binary logistic regression analysis of confounding factors and prognosis predictive scores

From: The utility of red cell distribution width to predict mortality of septic patients in a tertiary hospital of Nepal

 

Outcome

p-value

Odds Ratio

95% C.I

Improved/Cured (N = 108)

Mortality (N = 40)

Mean (S.D)

%

n

Mean (S.D)

%

n

 

Lower

Upper

Age (years)

48.4 (19.94)

73.0%

108

59.10 (19.1)

27.0%

40

0.101

1.250

0.958

1.632

Hematocrit %

35.3 (8.8)

73.0%

108

33.6 (10.1)

73.0%

40

0.315

0.979

0.941

1.020

SOFA

6 (3)

73.0%

108

8 (3)

27.0%

40

0.062

1.221

0.990

1.506

APACHE II

16 (7)

73.0%

108

21 (7)

27.0%

40

0.157

1.053

0.983

1.131

RDW

15.2 (2.2)

73.0%

108

17.9 (2.9)

27.0%

40

0.000003

1.551

1.292

1.863

Sex

Male

–

65.0%

39

–

35.0%

21

0.029

2.950

1.120

7.773

Female

–

78.4%

69

–

21.6%

19

Septic shock

Yes

–

63.6%

28

–

36.4%

16

0.555

0.713

0.231

2.194

No

–

76.9%

80

–

23.1%

24