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Table 4 The results of a two-piecewise binary logistic regression model

From: Relationship between glycated hemoglobin levels and three-month outcomes in acute ischemic stroke patients with or without diabetes: a prospective Korean cohort study

3-month adverse clinical outcomes

All participants (OR,95%CI, P)

Non-DM (OR,95%CI, P)

DM (OR,95%CI, P)

Fitting model by standard linear regression (per 1% increase for HbA1c)

1.12 (0.97, 1.30) 0.129

1.68 (0.92, 3.07) 0.092

1.14 (0.97, 1.35) 0.118

Fitting model by two-piecewise binary logistic regression

 Inflection point of HbA1c (%)

8.2

5.4

6.1

 ≤ Inflection point (per 1% increase for HbA1c)

0.98 (0.76, 1.26) 0.866

0.69 (0.06, 7.96) 0.766

0.13 (0.02, 0.81) 0.029

 > Inflection point (per 1% increase for HbA1c)

1.33 (0.99, 1.79) 0.060

1.942 (0.94, 4.0) 0.072

1.23 (1.03, 1.47) 0.021

P for log-likelihood ratio test

0.197

0.476

0.018

  1. Note 1: In all participants, we adjusted age, smoking status, sex, TG, BMI, HGB, HDL-C, ALB, C-reactive protein, LDL-C, Scr, previous stroke or TIA, CHD, DM, hypertension, and NIHSS score
  2. Note 2: For DM and Non-DM subgroups, we adjusted for age, smoking status, sex, TG, BMI, HGB, HDL-C, ALB, C-reactive protein, LDL-C, Scr, previous stroke or TIA, CHD, hypertension, stroke etiology, and NIHSS score
  3. HbA1c Glycated hemoglobin, OR Odds ratios, CI Confidence, DM Diabetes mellitus