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

BMC Emergency Medicine

Table 4 Univariable, multivariable logistic regression model with full and reduced models to predict posttreatment level 2 hypoglycemia (blood glucose < 54 mg/dL or < 3.0 mmol/L) and level 3 hypoglycemia

Variables	Univariable			Multivariable (Full model) †		Multivariable (Reduced model round #1) ‡		Multivariable (Reduced model round #2) ∫			Reduced model round #3 ¶		Assigned risk item score from reduced model round #2
Variables	Odds ratio (95% CI)	p-value*	AuROC (95% CI)	Odds ratio (95% CI)	p-value*	Odds ratio (95% CI)	p-value*	Odds ratio (95% CI)	p-value*	β	Odds ratio (95% CI)	p-value*
Age – year
≤ 60	Ref			Ref		Ref		Ref
> 60	1.68 (0.93—3.04)	0.084	0.565 (0.492—0.638)	1.89 (1.02—3.50)	0.043	1.85 (1.01—3.39)	0.045	1.75 (0.96—3.19)	0.067	0.56			2
Female	0.67 (0.36—1.25)	0.209	0.546 (0.477—0.615)	0.58 (0.30—1.12)	0.102
BMI – kg/m²
< 18.5	1.84 (0.92—3.69)	0.085	0.548 (0.486—0.611)	1.94 (0.93—4.04)	0.077
≥ 18.5	Ref			Ref
Pretreatment blood glucose – mg/dL
≤ 100 (≤ 5.6 mmol/L)	2.23 (1.24—4.03)	0.008	0.595 (0.522—0.668)	2.04 (1.11—3.75)	0.021	2.23 (1.22—4.06)	0.009	2.30 (1.27—4.16)	0.006	0.83	2.23 (1.24—4.03)	0.008	3
> 100 (> 5.6 mmol/L)	Ref			Ref		Ref		Ref			Ref
Pretreatment serum potassium – mmol/L
≤ 6	Ref			Ref		Ref
> 6	1.90 (0.96—3.77)	0.065	0.566 (0.503—0.630)	2.26 (1.09—4.65)	0.028	1.93 (0.96—3.86)	0.065
Pretreatment serum creatinine – mg/dL
≤ 3.3 (≤ 291.7 µmol/L)	Ref			Ref
> 3.3 (> 291.7 µmol/L)	1.11 (0.62—2.00)	0.725	0.513 (0.440—0.586)	1.06 (0.57—1.96)	0.855

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
^* p < 0.05 was statistical significance. Reduced model was performed by using multivariable logistic regression modeling with backward elimination
^†The AuROC of full model was 0.654 (95% CI 0.577 to 0.731)
^‡The AuROC of reduced model round #1 was 0.638 (95% CI 0.566 to 0.710)
∫The AuROC of reduced model round #2 was 0.631 (95% CI 0.553 to 0.710). There was a decrease in the AuROC between round #2 and round #3. Thus, reduced model round #2 was used as the final model to assign item scores
^¶The AuROC of reduced model round #3 was 0.595 (95% CI 0.522 to 0.668)

ISSN: 1471-227X