Table 1 Baseline characteristics of the study population.

From: Machine learning prediction of preterm birth in women under 35 using routine biomarkers in a retrospective cohort study

Variable

FTB (n = 1303)

PTB (n = 1303)

Statistic

P-value

Age

29.000[27.000,31.000]

29.000[27.000,32.000]

-4.347

< 0.001

BMI

25.649[23.875,27.580]

25.391[23.438,27.430]

2.492

0.013

DBP

73.000[67.000,79.000]

72.000[65.000,79.000]

1.844

0.065

SBP

119.000[111.000,127.000]

120.000[111.000,128.000]

-0.747

0.455

AG

1.220[1.140,1.310]

1.210[1.130,1.310]

1.832

0.067

GLB

30.300[28.200,32.500]

30.000[27.800,32.200]

2.364

0.018

GLU

5.240[4.650,5.960]

5.180[4.650,5.910]

0.519

0.604

ALT

10.000[8.000,13.000]

11.000[8.000,15.000]

-4.554

< 0.001

AST

18.000[16.000,21.000]

18.000[15.000,22.000]

0.527

0.597

GT

12.000[9.000,16.000]

12.000[9.000,17.000]

-0.207

0.835

ALP

190.000[155.000,234.000]

134.000[106.000,168.000]

23.616

< 0.001

ALB

35.400[34.100,36.700]

34.400[32.800,36.000]

11.709

< 0.001

TBIL

7.700[6.400,9.500]

6.800[5.600,8.800]

8.906

< 0.001

IBIL

6.400[5.400,7.900]

5.700[4.700,7.300]

8.966

< 0.001

DBIL

1.300[1.000,1.800]

1.200[0.900,1.700]

3.510

< 0.001

UREA

3.500[3.000,4.100]

3.200[2.600,3.800]

9.064

< 0.001

CREA

56.000[50.000,61.000]

53.000[47.000,58.000]

9.119

< 0.001

UA

314.000[270.000,362.000]

291.000[244.000,350.000]

7.150

< 0.001

MG

0.780[0.740,0.820]

0.780[0.740,0.830]

-1.893

0.058

TCHO

6.970[6.160,7.850]

6.640[5.880,7.430]

6.755

< 0.001

LPa

16.000[8.000,30.000]

18.000[10.000,35.000]

-3.740

< 0.001

CK

44.000[33.000,62.000]

40.000[28.000,59.000]

5.388

< 0.001

CKMB

9.000[7.000,12.000]

9.000[7.000,11.000]

0.610

0.541

LDH

173.000[155.000,191.000]

170.000[152.000,193.000]

1.294

0.196

AMY

78.000[64.000,94.000]

75.000[62.000,91.000]

2.610

0.009

ASO

45.000[22.000,89.000]

41.000[21.000,79.000]

2.651

0.008

RF

10.000[5.000,10.000]

10.000[6.000,10.000]

-1.291

0.144

Na

136.000[135.000,137.000]

137.000[136.000,138.000]

-10.290

< 0.001

DBHB

131.650[105.000,196.000]

159.000[115.800,299.000]

-7.926

< 0.001

CRP

2.800[1.560,4.900]

2.700[1.500,5.100]

0.290

0.771

TBA

3.100[2.000,4.600]

2.910[1.810,4.510]

1.665

0.096

CG

1.470[1.020,1.950]

1.380[0.850,1.930]

2.754

0.006

TT4

122.370[108.520,139.240]

124.340[109.850,139.700]

-0.684

0.494

FT3

4.140[3.810,4.530]

4.220[3.830,4.680]

-3.720

< 0.001

FT4

10.220[9.180,11.190]

10.110[9.190,10.990]

1.553

0.120

TSH

2.010[1.400,2.820]

1.710[1.180,2.520]

6.650

< 0.001

AFP

150.900[103.700,208.600]

229.000[160.600,318.000]

-18.170

< 0.001

TT

17.300[16.600,18.100]

17.400[16.600,18.100]

-0.849

0.396

FIB

4.130[3.670,4.660]

4.190[3.720,4.710]

-2.025

0.043

AISI

394.892[264.914,578.560]

428.948[287.763,643.387]

-4.057

< 0.001

NLPR

0.051[0.039,0.068]

0.054[0.041,0.072]

-3.215

0.001

SII

839.583[626.500,1112.571]

882.000[648.000,1202.538]

-2.718

0.007

SIRI

2.125[1.526,3.000]

2.218[1.647,3.200]

-2.640

0.008

NLR

4.571[3.538,5.833]

4.474[3.550,6.000]

-0.218

0.828

PLR

129.286[104.444,159.091]

127.273[102.500,160.833]

0.217

0.828

LMR

3.000[2.500,3.800]

3.000[2.400,3.800]

0.453

0.650

Dnlr

1.364[1.294,1.462]

1.375[1.294,1.471]

-1.369

0.171

WBC

8.600[7.300,10.200]

9.100[7.700,10.700]

-5.203

< 0.001

Neu

76.800[72.800,80.600]

76.700[72.900,81.100]

-0.845

0.398

Lym

16.800[13.600,20.400]

17.000[13.200,20.400]

0.781

0.435

Mon

5.400[4.600,6.300]

5.400[4.600,6.300]

-0.082

0.935

Eos

0.500[0.300,0.800]

0.600[0.400,1.000]

-5.506

< 0.001

Bas

0.200[0.100,0.200]

0.200[0.100,0.200]

-1.191

0.210

Neu1

6.600[5.400,8.000]

6.900[5.700,8.400]

-4.456

< 0.001

Lym1

1.400[1.200,1.700]

1.500[1.200,1.800]

-4.073

< 0.001

Mon1

0.500[0.400,0.600]

0.500[0.400,0.600]

-4.404

< 0.001

Eos1

0.040[0.020,0.070]

0.050[0.030,0.090]

-7.150

< 0.001

Bas1

0.010[0.010,0.020]

0.020[0.010,0.020]

-3.354

< 0.001

HGB

128.000[121.000,136.000]

123.000[115.000,130.000]

13.164

< 0.001

MCV

94.200[91.000,97.200]

93.900[90.700,96.900]

1.356

0.175

MCHC

336.000[330.000,342.000]

338.000[331.000,345.000]

-4.682

< 0.001

RDWCV

13.000[13.000,14.000]

13.000[13.000,14.000]

8.064

< 0.001

PLT

186.000[155.000,218.000]

194.000[163.000,226.000]

-4.175

< 0.001

PCT

0.185[0.162,0.213]

0.188[0.164,0.216]

-1.774

0.076

PDW

16.500[16.200,16.700]

16.400[16.100,16.700]

4.743

< 0.001

  1. Values are expressed as median [IQR] for continuous variables and as frequencies and percentages for categorical variables. Statistical comparisons were made using t-tests for normally distributed variables, Mann-Whitney U tests for non-normally distributed variables, and χ² tests for categorical variables. Significance level: p < 0.05.
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