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Table 2 Univariable, multivariable logistic regression model with full and reduced models to predict posttreatment hypoglycemia (blood glucose ≤ 70 mg/dL or ≤ 3.9 mmol/L)

From: Predicting hypoglycemia after treatment of hyperkalemia with insulin and glucose (Glu-K60 score)

Variables

Univariable

Multivariable

(Full model) †

Multivariable

(Reduced model) ‡

Assigned risk item score

Odds ratio (95% CI)

p-value*

AuROC (95% CI)

Odds ratio (95% CI)

p-value*

β

Odds ratio (95% CI)

p-value*

β

Age – year

 ≤ 60

Ref

  

Ref

  

Ref

   

 > 60

1.83 (1.15—2.92)

0.011

0.575 (0.518—0.632)

2.06 (1.26—3.37)

0.004

0.72

2.06 (1.27—3.33)

0.004

0.72

2

Female

0.97 (0.60—1.55)

0.896

0.496 (0.440—0.553)

0.88 (0.53—1.45)

0.613

-0.13

    

BMI – kg/m2

 < 18.5

1.44 (0.80—2.59)

0.223

0.527 (0.481—0.572)

1.42 (0.76—2.64)

0.272

0.35

    

 ≥ 18.5

Ref

  

Ref

      

Pretreatment blood glucose – mg/dL

 ≤ 100

(≤ 5.6 mmol/L)

2.36 (1.47—3.79)

 < 0.001

0.600 (0.544—0.656)

2.32 (1.42—3.79)

0.001

0.84

2.4 (1.48—3.9)

 < 0.001

0.88

3

 > 100

(> 5.6 mmol/L)

Ref

  

Ref

  

Ref

   

Pretreatment serum potassium – mmol/L

 ≤ 6

Ref

  

Ref

  

Ref

   

 > 6

1.85 (1.10—3.11)

0.020

0.566 (0.514—0.617)

1.97 (1.13—3.43)

0.017

0.68

1.91 (1.12—3.26)

0.018

0.65

2

Pretreatment serum creatinine – mg/dL

 ≤ 3.3

(≤ 291.7 µmol/L)

Ref

  

Ref

      

 > 3.3

  (> 291.7 µmol/L)

1.26 (0.79—2.00)

0.335

0.528 (0.471—0.586)

1.19 (0.73—1.94)

0.492

0.17

    
  1. Abbreviations: AuROC area under receiver operating characteristic curve, BMI body mass index, kg/m2 kilogram per square meter, mg/dL milligram per deciliter, mmol/L millimole per liter, µmol/L micromole per liter, Ref reference, β regression coefficient, 95% CI 95% confidence interval
  2. * p < 0.05 was statistical significance
  3. †The AuROC of full model was 0.662 (95% CI 0.597 to 0.726)
  4. ‡The AuROC of reduced model was 0.657 (95% CI 0.596 to 0.718)