Table 2 Univariate analysis of patients with and without PSD.

From: Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population

Variables

OR

95% CI

P-value

Women

1.558

[1.064, 2.283]

0.023

Educational levels (Junior high school or senior high school)

1.463

[0.898, 2.383]

0.126

Educational levels (University or above)

0.758

[0.483, 1.189]

0.227

Marital status (Unmarried, divorced or widowed)

3.962

[1.929, 8.136]

 < 0.001

Diabetes

1.503

[1.030, 2.192]

0.034

Hyperlipidemia

1.559

[1.020, 2.382]

0.040

Atrial fibrillation

2.885

[1.384, 6.012]

0.005

Smoking

1.541

[1.010, 2.353]

0.045

Frontal lobe lesion

3.112

[2.082, 4.652]

 < 0.001

Temporal lobe lesion

2.171

[1.275, 3.697]

0.004

Basal ganglia lesion

1.704

[1.167, 2.488]

0.006

Number of lesions(Multiple)

3.263

[1.820, 5.851]

 < 0.001

WBC

1.179

[1.086, 1.280]

 < 0.001

RDW

1.065

[1.020, 1.113]

0.004

ALB

0.888

[0.844, 0.933]

 < 0.001

PAB

0.996

[0.993, 0.999]

0.014

SCr

0.995

[0.987, 1.003]

0.212

FBG

1.108

[1.009, 1.216]

0.031

APOA1

0.335

[0.163, 0.685]

0.003

NIHSS

1.255

[1.180, 1.335]

 < 0.001

PSQI

1.219

[1.176, 1.264]

 < 0.001

MMSE

0.827

[0.782, 0.874]

 < 0.001

  1. CI: Confidence intervals; WBC: White blood cell; RDW: Red blood cell distribution width; ALB: Albumin; PAB: Prealbumin; SCr: Serum creatinine; FBG: Fasting blood glucose; APOA1: Apolipoprotein A1; NIHSS: National institutes of health stroke scale; PSQI: Pittsburgh sleep quality index; MMSE: Mini-mental state examination.
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