Zhu K, Zhang ZX, Zhang M. Application value of machine learning models in predicting intraoperative hypothermia in laparoscopic surgery for polytrauma patients. World J Clin Cases 2024; 12(24): 5513-5522 [PMID: 39188615 DOI: 10.12998/wjcc.v12.i24.5513]
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World J Clin Cases. Aug 26, 2024; 12(24): 5513-5522 Published online Aug 26, 2024. doi: 10.12998/wjcc.v12.i24.5513
Table 1 Comparison of clinical data
Parameter
Training (n = 154)
Validation (n = 66)
Statistical value
P value
Sex
χ2 = 0.383
0.536
Male
84 (54.55)
33 (50.00)
Female
70 (45.45)
33 (50.00)
Age in years
54.34 ± 11.58
55.87 ± 10.79
t = 0.916
0.361
Basal body temperature in °C
34.05 ± 0.22
34.01 ± 0.29
t = 1.119
0.264
BMI in kg/m2
23.27 ± 2.82
23.65 ± 2.75
t = 0.923
0.357
Diabetes
χ2 = 2.013
0.156
Yes
19 (12.34)
13 (19.70)
No
135 (87.66)
53 (80.30)
Hypertension
χ2 = 2.685
0.101
Yes
31 (20.13)
20 (30.30)
No
123 (79.87)
46 (69.70)
Smoking
χ2 = 2.013
0.156
Yes
19 (12.34)
13 (19.70)
No
135 (87.66)
53 (80.30)
Drinking
χ2 = 2.127
0.145
Yes
15 (9.74)
11 (16.67)
No
139 (90.26)
55 (83.33)
Operating room temperature in °C
21.65 ± 4.16
21.52 ± 4.12
t = 0.213
0.832
ASA
χ2 = 5.034
0.169
I
16 (10.39)
10 (15.15)
II
116 (75.32)
41 (62.12)
III
21 (13.64)
13 (19.70)
IV
1 (0.65)
2 (3.03)
Mode of anesthesia
χ2 = 0.542
0.462
General anesthesia
71 (46.10)
34 (51.52)
General anesthesia joint board anesthesia
83 (53.90)
32 (48.48)
Duration of anesthesia in min
150.48 ± 76.21
139.39 ± 75.97
t = 0.990
0.323
Operation duration in min
127.61 ± 78.16
124.65 ± 75.77
t = 0.260
0.795
Intraoperative fluid infusion in mL
1067.84 ± 616.12
1073.92 ± 610.11
t = 0.067
0.946
Infusion of crystal solution in mL
1050.13 ± 567.08
1041.37 ± 600.42
t = 0.103
0.918
Infusion of colloidal solution in mL
92.68 ± 15.22
91.15 ± 15.14
t = 0.684
0.495
Pneumoperitoneum flow in L/min
261.22 ± 16.13
258.09 ± 15.96
t = 1.323
0.187
Intraoperative blood loss in mL
98.27 ± 35.82
94.18 ± 35.61
t = 0.777
0.438
Hemoglobin in g/L
115.65 ± 18.15
113.74 ± 17.05
t = 0.728
0.467
Platelet as × 109/L
180.88 ± 56.32
176.87 ± 56.76
t = 0.483
0.630
Glu in mmol/L
4.15 ± 0.87
4.25 ± 0.86
t = 0.784
0.434
ALT in U/L
25.58 ± 10.19
27.02 ± 10.12
t = 0.962
0.337
AST in U/L
20.27 ± 8.82
19.18 ± 8.75
t = 0.842
0.401
Table 2 Comparison of clinical data of patients with and without hypothermia in the training set group
Item
Hypothermia, n = 53
Non-hypothermia, n = 101
Statistical value
P value
Sex
χ2 = 9.210
0.002
Male
20 (37.74)
64 (63.37)
Female
33 (62.26)
37 (36.63)
Age in years
61.11 ± 12.15
57.23 ± 8.71
t = 2.282
0.024
Basal body temperature in °C
36.15 ± 0.28
36.74 ± 0.28
t = 12.423
< 0.001
BMI in kg/m2
23.73 ± 2.71
23.75 ± 3.25
t = 0.038
0.970
Diabetes
χ2 = 1.715
0.190
Yes
4 (7.55)
15 (14.85)
No
49 (92.45)
86 (85.15)
Hypertension
χ2 = 0.498
0.480
Yes
9 (16.98)
22 (21.78)
No
44 (83.02)
79 (78.22)
Smoking
χ2 = 0.077
0.781
Yes
6 (11.32)
13 (12.87)
No
47 (88.68)
88 (87.13)
Drinking
χ2 = 0.442
0.506
Yes
4 (7.55)
11 (10.89)
No
49 (92.45)
90 (89.11)
Operating room temperature in °C
21.12 ± 4.05
22.84 ± 5.02
t = 2.153
0.033
ASA
χ2 = 4.325
0.228
I
3 (5.66)
13 (12.87)
II
43 (81.13)
73 (72.28)
III
6 (11.32)
15 (14.85)
IV
1 (1.89)
0
Mode of anesthesia
χ2 = 0.238
0.625
General anesthesia
23 (43.40)
48 (47.52)
General anesthesia joint board anesthesia
30 (56.60)
53 (52.48)
Duration of anesthesia in min
162.52 ± 75.16
118.63 ± 58.35
t = 4.006
< 0.001
Operation duration in min
141.27 ± 75.11
99.21 ± 56.22
t = 3.916
< 0.001
Intraoperative fluid infusion in mL
1157.12 ± 615.51
793.15 ± 422.17
t = 4.319
< 0.001
Infusion of crystal solution in mL
1046.01 ± 560.12
769.34 ± 389.25
t = 3.585
0.001
Infusion of colloidal solution in mL
103.41 ± 15.06
27.79 ± 7.15
t = 42.274
< 0.001
Pneumoperitoneum flow in L/min
270.51 ± 17.21
187.29 ± 11.19
t = 36.200
< 0.001
Intraoperative blood loss in mL
118.33 ± 33.95
112.79 ± 35.31
t = 0.937
0.350
Hemoglobin in g/L
134.98 ± 20.85
136.58 ± 19.69
t = 0.469
0.639
Platelet as × 109/
208.76 ± 62.16
211.41 ± 59.52
t = 0.259
0.796
Glu in mmol/L
5.14 ± 0.95
5.21 ± 1.06
t = 0.403
0.687
ALT in U/L
26.89 ± 10.41
25.79 ± 10.68
t = 0.612
0.541
AST in U/L
21.27 ± 9.12
20.39 ± 8.97
t = 0.575
0.566
Table 3 Variable assignment
Variable
Factor
Assignment
Y
Hypothermia
1 = hypothermia; 0 = non-hypothermia
X1
Age
Continuous variable, original value input
X2
Basal body temperature
Continuous variable, original value input
X3
Operating room temperature
Continuous variable, original value input
X4
Duration of anesthesia
Continuous variable, original value input
X5
Operation duration
Continuous variable, original value input
X6
Intraoperative fluid infusion
Continuous variable, original value input
X7
Infusion of crystal solution
Continuous variable, original value input
X8
Infusion of colloidal solution
Continuous variable, original value input
X9
Pneumoperitoneum flow
Continuous variable, original value input
X10
Sex
0 = Male; 1 = Female
Table 4 Multivariate logistic regression analysis
Risk factor
β
SE
Wald χ2
P value
OR
95%CI
Age
0.056
0.017
11.434
0.001
1.058
1.024-1.093
Basal body temperature
−1.211
0.365
11.157
0.001
0.286
0.231-0.976
Operating room temperature
−0.066
0.041
2.688
0.101
0.936
0.864-1.013
Duration of anesthesia
−0.008
0.003
8.458
0.004
0.992
0.986-0.997
Operation duration
0.011
0.003
12.787
< 0.001
1.011
1.005-1.018
Table 5 Nomogram model for predicting the occurrence of hypothermia during laparoscopic surgery
Index
AUC
SEN, %
SPE, %
95%CI
P value
Training
0.850
94.69
91.47
0.909-0.962
< 0.001
Validation
0.829
95.38
90.53
0.850-0.988
< 0.001
Citation: Zhu K, Zhang ZX, Zhang M. Application value of machine learning models in predicting intraoperative hypothermia in laparoscopic surgery for polytrauma patients. World J Clin Cases 2024; 12(24): 5513-5522