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Table 1 Demographics and univariate data analysis of patients with renal colic

From: Artificial neural network, genetic algorithm, and logistic regression applications for predicting renal colic in emergency settings

Variable

Patients with urinary stone

%

p

Age

38.4 ± 14

 

Gender:  male/female

128/48

87/60

0.000

More than one attack

98

81

0.182

Colic pain

24

75

0.711

Radiation to the groin

120

81.6

0.045

Positional discomfort

23

79.3

0.806

Previous presentation

69

89.6

0.002

History of urolithiasis

104

86

0.001

Family history of urolithiasis

85

81.7

0.163

Comorbid disease

33

73.3

0.451

Nausea

126

83.4

0.003

Vomiting

73

85.9

0.020

Sweating

74

84

0.060

Fever

9

60

0.092

Dysuria

80

80

0.429

Hematuria

57

86.4

0.041

Unable to void

26

84

0.363

Tenderness in costovertebral region

150

80.2

0.036

Tenderness on ureteral tract

101

79

0.573

Suprapubic tenderness

40

70.2

0.124

Abdominal rigidity

9

90

0.334

Rebound

3

100

0.348

Positional discomfort

36

80

0.658

Positive urine analysis

121

83

0.010

Pelvicaliceal dilatation on bedside US

142

81.6

0.008

  1. US ultrasonography