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Table 2 Variables of study in the gathered dataset

From: Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms

Features

Frequency (%)

Range of values

Mean ± SD

Age

 

18–60

40.29 ± 12.67

Gender

 Female

492 (59.3)

  

 Male

338 (40.7)

  

BMI (Kg/M2)

 

12.11–57.60

28.23 ± 12.29

ASA classification score

 ASA I

592 (71.32)

  

 ASA II

238 (28.67)

  

 ASA III

0

  

 ASA IV

0

  

 ASA V

0

  

Past medical history

 Hypertension

124 (14.9)

  

 Diabetes Mellitus

77 (9.27)

  

 OSA

3 (0.36)

  

 Favism

1 (0.12)

  

 Anemia

9 (1.08)

  

 Hyperlipidemia

16 (1.92)

  

 Rheumatoid arthritis

5 (0.60)

  

 Lupus

1 (0.12)

  

 Minor thalassemia

3 (0.36)

  

 Multiple sclerosis

1 (0.12)

  

 Cachexia

3 (0.36)

  

 Pre-eclampsia

1 (0.12)

  

 Pregnancy

1 (0.12)

  

 Chronic Obstructive Pulmonary Disease

1 (0.12)

  

 hypothyroidism

43 (5.18)

  

 Asthma

22 (2.65)

  

Surgery type

 ENT

96 (11.6)

  

 General surgery

192 (23.1)

  

 Orthopedics

145 (17.5)

  

 Neurosurgery

9 (1.1)

  

 Bariatric

96 (11.6)

  

 Urology

86 (10.4)

  

 Gynecology

206 (24.8)

  

Smoking

 Yes

173 (20.8)

  

 No

657 (79.2)

  

Alcohol consumption

 Yes

66 (7.9)

  

 No

764 (92.2)

  

Substance addiction

 Yes

30 (3.6)

  

 No

800 (96.4)

  

Anesthesia time (min)

 

15–120

77.28 ± 33.26

PACU length of stay (min)

 

5–75

21.17 ± 12.09