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Table 3 Distribution of the 9 features between groups in cohort 1 and cohort 2

From: Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction

Indicators

Queue 1 (n = 1625)

Queue 2 (n = 1687)

HF (n = 801)

Control (n = 824)

P values

HF (n = 820)

Control (n = 867)

P values

Troponin I

ng/mL

20.000(11.200–29.300)

13.600(4.250-35.000)

< 0.001

20.000(11.832–29.225)

16.100(4.780-38.175)

< 0.001

Triglycerides

(mmol/L)

1.800(1.520–2.190)

1.570(1.110–2.060)

< 0.001

1.825(1.540–2.272)

1.600(1.150–2.090)

< 0.001

Urine red blood cell count (106/L)

6.100(2.700–6.600)

5.600(3.000-8.100)

0.866

6.200(3.200–6.900)

5.600(3.100–8.100)

0.287

Glucose (mmol/L)

7.770(7.250–8.725)

7.250(6.060–8.500)

< 0.001

8.512 ± 2.578

7.621 ± 2.123

< 0.001

Urine specific gravity

1.015(1.011–1.020)

1.027(1.017–1.046)

< 0.001

1.016(1.013–1.022)

1.028(1.018–1.045)

< 0.001

Thrombin time (s)

16.600(14.700–17.400)

17.400(16.700–18.000)

< 0.001

16.600(14.900–17.400)

17.400(16.700–18.100)

< 0.001

γ- Glutamyl

transferase (U/L)

35.000(23.900–47.800)

27.150(18.875-39.000)

< 0.001

35.250(24.475–47.175)

28.100(18.850–38.950)

< 0.001

Prealbumin (g/L)

0.200(0.160–0.240)

0.240(0.210–0.270)

< 0.001

0.210(0.170–0.250)

0.240(0.210–0.270)

< 0.001

Urea (mmol/L)

6.210(5.840–8.338)

5.580(4.570–6.725)

< 0.001

6.210(6.128–8.338)

5.593(4.550–6.680)

< 0.001

  1. *Normally distributed variables are expressed as mean ± standard deviation, and non-normally distributed variables are expressed as median (Q25, Q75)