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Table 3 Multivariable Firth's logistic regression model of predictors of CKD coding on discharge in patients with uncoded CKD (discharge eGFR and uACR)

From: Uncoded chronic kidney disease prevalence in secondary care: a retrospective audit with population health implications

 

Initial model

Final model

Estimate

SE

p-value

95% CIs

Estimate

SE

p-value

95% CIs

Age

Age

1.04

1.02

0.07

1.00 to 1.09

1.04

1.02

0.08

1.00 to 1.08

Sex

Male

0.75

1.63

0.60

0.25 to 2.18

-

-

-

-

Ethnicity

Non-White

0.60

2.19

0.54

0.09 to 2.90

-

-

-

-

Socioeconomic deprivation

IMD

1.09

1.12

0.50

0.85 to 1.40

-

-

-

-

Diagnoses

Diabetes

1.64

1.71

0.40

0.51 to 5.32

-

-

-

-

Hypertension

2.77

1.67

0.06

0.95 to 9.09

3.14

1.70

0.03

1.14 to 9.97

Dementia

1.08

2.41

0.94

0.11 to 5.60

-

-

-

-

MH diagnosis

1.19

1.94

0.82

0.22 to 4.35

-

-

-

-

Cancer diagnosis

1.28

1.79

0.70

0.34 to 4.16

-

-

-

-

AKI during admission

1.89

1.61

0.23

0.65 to 5.16

-

-

-

-

HF during admission

0.66

1.86

0.52

0.15 to 2.24

-

-

-

-

Urine ACR

ACR > 30 mg/mmol

3.44

2.53

0.22

0.47 to 28.88

-

-

-

-

ACR 3–30 mg/mmol

1.22

2.14

0.81

0.26 to 7.75

-

-

-

-

CKD Stage

Advanced CKD

(stages 4 and 5 combined)

3.67

1.72

0.03

1.14 to 11.51

4.90

1.71

0.006

1.60 to 14.20

Table Key

Reference categories

Sex: Female; Ethnicity: White; Diagnoses: absence of diagnosis; ACR: ACR < 3mg/mmol; CKD stage: stages 1, 2 and 3 combined. SE = standard error

Statistically significant

values in bold.