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Table 1 Demographic variables

From: Experience of clinical screening for COVID-19 among patients undergoing elective orthopedic surgeries: an alternative proposal

Variable

Number of patients

Data presentation

Age (years + SD) d (years, IQR)

179

47.5 ± 14.83 a

49 (36–57) b

Sex c

 Female

110

61.4%

BMI e

179

26.5 ± 3.79 a

26 (IQR 24–29) b

ASA class c

 I

72

40.78%

 II

101

56.42%

 III

5

2.79%

 IV y V

0

0%

Comorbidities

 Arterial hypertension c

35

19.55%

 Coronary disease c

3

1.68%

 Diabetes c

11

6.15%

 Hypothyroidism c

16

8.94%

 Cancer c

2

1.12%

 Pulmonary disease c

5

2.80%

 CKDc

0

0%

 Rheumatoid arthritis c

3

1.69%

 Others c

2

1.12%

 HIV c

0

0.%

 Smoking c

29

16.20%

Surgery location c

 Puente Aranda

142

79.33%

 Clínica Colombia

37

20.67%

Operation duration (min)f

179

69.4 ± 39.2 a

60 (IQR 50-80) b

Postoperative hospitalization c

  

 No

175

97.77%

 Yes

4

2.23%

Anesthesia type c

  

 General

71

39.66%

 Spinal

72

40.22%

 Blockade

5

2.79%

 Local

4

2.23%

 Combined

27

15.08%

Contact with individuals with COVID-19 c

5

2.79%

Presence of symptoms c

4

2.23%

Medical attention c

2

1.12%

Developed COVID-19c

0

0%

Tests for COVID-19 c

2

1.12%

  1. Note: Since there are some variables with normal distributions and others with nonnormal distributions, means and standard deviations and medians and interquartile ranges are reported as the measures of central tendency and dispersion
  2. BMI body mass index, COVID-19 coronavirus disease 2019
  3. aValues presented as the means and standard deviations
  4. bValues presented as the medians and interquartile ranges
  5. cValues presented as the frequencies and percentages
  6. dSkewness = − 0.05, kurtosis = 2.40 and Shapiro-Wilk (Swilk) = 0.02 = nonnormal distribution
  7. eSkewness = 0.28, kurtosis = 3.14 and Shapiro-Wilk (Swilk) = 0.20 = normal distribution
  8. fSkewness = − 1.96, kurtosis = 5.14 and Shapiro-Wilk (Swilk) = 0.00 = nonnormal distribution