Table 2 The association between serum calcium concentration and in-hospital mortality of patients with acute myocardial infarction analyzed using three different logistic regression models.

From: The synergy between diurnal temperature range and calcium concentration help to predict hospital mortality in patients with acute myocardial infarction

Model

Serum calcium concentration

Ca-Q1

Ca-Q2

Ca-Q3

Ca-Q4

Deaths/N

84/892

46/951

43/840

15/993

Model 1

Ref

0.47 (0.32–0.68)

P < 0.001

0.49 (0.34–0.72)

P < 0.001

0.15 (0.08–0.25)

P < 0.001

Model 2

Ref

0.49 (0.34–0.71)

P < 0.001

0.56 (0.38–0.82)

P = 0.003

0.17 (0.10–0.31)

P < 0.001

Model 3

Ref

0.47 (0.32–0.69)

P < 0.001

0.55 (0.37–0.82)

P = 0.003

0.14 (0.07–0.25)

P < 0.001

  1. Data are presented as odds ratio (95% confidence interval), P value. Ca-Q1: serum calcium concentration < 2.19 mmol/L; Ca-Q2: serum calcium concentration 2.19–2.26 mmol/L; Ca-Q3: serum calcium concentration 2.27–2.33 mmol/L; Ca-Q4: serum calcium concentration > 2.33 mmol/L. Model 1: unadjusted. Model 2: adjusted for age and gender. Model 3: adjusted for age, gender, current smoking, current alcohol use, diabetes mellitus, high-density lipoprotein cholesterol, uric acid, serum phosphate, serum potassium, left ventricular ejection fraction and left atrial diameter.
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