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Table 1 Baseline characteristics of the study population

From: Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study

Characteristic

Hospital A

(N = 300)

Hospital B

(N = 177)

t /χ²

P

Age (years)

29.66 ± 2.27

29.56 ± 2.37

0.53

0.596

 

Height (cm)

162.12 ± 4.73

161.97 ± 4.92

0.29

0.772

 

Weight (kg)

71.25 ± 4.96

71.02 ± 4.85

0.53

0.603

 

BMI

  

0.79

0.674

 

   1( BMI < 18.5)

75(25%)

45 (25.4%)

   

   2(18.5 ≤ BMI < 24.9)

120 (40%)

70 (39.5%)

   

   3( BMI ≥ 25)

105 (35%)

62(35.1%)

   

Alcohol

39 (13%)

24(13.5%)

0.30

0.584

 

Smoking

87 (29%)

47(26.5%)

0.93

0.334

 

Gestational age (weeks)

  

20.9

0.553

 

37

82 (9.4%)

17 (9.6%)

   

38

57 (19%)

34 (19.2%)

   

39

138 (46%)

82 (46.3%)

   

40~

75(25%)

44(24.8%)

   

Parity

  

1.12

0.572

 

   Primiparas

57 (19%)

34 (19.2%)

   

   Second pregnancy

135(45%)

79 (44.6%)

   

   Multiparas

108(36%)

64 (36.2%)

   

Hypertension

18 (6%)

11 (6.2%)

   

Diabetes

54 (18%)

32(18.1%)

   

Surgical method

  

0.02

0.882

 

Intraperitoneal

240 (80%)

142 (80.2%)

   

Extraperitoneal

60 (20%)

35(19.8%)

   

Duration of surgery (minutes)

59.99 ± 5.70

60.21 ± 5.57

-10.5

0.06

 

Estimated blood loss (ml)

149.60 ± 23.50

148.21 ± 24.93

1.36

0.0175

 

Anesthesia type

  

0.15

0.700

 

   Epidural

168 (56%)

100 (56.5%)

   

   Combined spinal-epidural

132 (44%)

77 (43.5%)

   

Anesthetic Drugs

  

8.28

0.056

 

   Ropivacaine

129 (43%)

76 (42.9%)

   

   Others

171 (57%)

101 (57.1%)

   

Esketamine use

129(43%)

74 (41.8%)

0.76

0.383

 

Time to first PCIA (minutes)

113.75 ± 17.26

110.87 ± 17.18

1.40

0.162