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Table 2 In-hospital mortality logistic-regression models

From: Frequency-based rare diagnoses as a novel and accessible approach for studying rare diseases in large datasets: a cross-sectional study

In-Hospital mortality in Deciles

Unadjusted model

Variable

OR

(95% CI)

1st Decile (vs. 2nd -10th Deciles)a

2.13

(2.05,2.21)

Adjusted model

Variable

OR

(95% CI)

1st Decile (vs. 2nd -10th Deciles)a

1.44

(1.38,1.50)

Female sex

0.73

(0.70,0.75)

Swiss citizen

1.02

(0.97,1.07)

Admissioned from home

0.63

(0.60,0.66)

Age Groupb (vs. Age Group 1)

  

 Age Group 2

1.09

(1.07,1.11)

 Age Group 3

1.03

(0.96,1.11)

 Age Group 4

0.72

(0.60,0.87)

 Age Group 5

2.19

(1.79,2.68)

Nr of Diagnoses (vs. 0 non-rare Diagnose)c

  

 1 Diagnoses

0.34

(0.21,0.53)

 2 Diagnoses

0.99

(0.59,1.66)

 3 Diagnoses

0.32

(0.20,0.49)

 5 Diagnoses

1.22

(0.76,1.98)

 6 Diagnoses

0.43

(0.27,0.67)

 7 Diagnoses

0.56

(0.36,0.87)

 8 Diagnoses

0.67

(0.43,1.03)

 9 Diagnoses

0.86

(0.55,1.33)

 10 Diagnoses

0.99

(0.63,1.53)

 11–12 Diagnoses

1.24

(0.80,1.92)

 13–15 Diagnoses

1.49

(0.96,2.31)

 >=16 Diagnoses

1.96

(1.26,3.03)

Admission type (vs. Emergency)

  

 Elective

0.36

(0.35,0.38)

 other

0.46

(0.42,0.50)

Insurance class (vs. general)

  

 semiprivate

0.86

(0.82,0.90)

 private

0.86

(0.81,0.91)

Hospital Category/Size (vs. N1- University Hospital)

  

 Tier 2 Center hospital

0.86

(0.82,0.90)

 Tier 3 General hospital

0.69

(0.65,0.74)

 Tier 4 General hospital

0.78

(0.72,0.84)

 Tier 5 General hospital

1.21

(1.07,1.36)

 Other speciality

1.65

(1.49,1.83)

 Rehabilitation clinic

0.2

(0.16,0.24)

 Surgical clinic

0.15

(0.11,0.19)

  1. a«D010»=10% of patients with the rarest diseases. «D100 »=10% of the patients with the most common diseases; bAge was grouped using restricted cubic splines; cRare Diagnoses leading to an 1st -Decile were subtracted;