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Table 3 The factors affecting bacterial counts in operating rooms using linear regression analysis

From: Factors influencing microbial colonies in the air of operating rooms

Variables

Pearson Correlation

Pearson Correlation p -value

Regression Coefficients

Regression Coefficients Standard Error

Regression Coefficients 95% CI*

Regression p-value

Surgery time# (hour)

−.005

.470

−1.72

2.30

−6.25-2.80

.453

Surgery schedules (urgent surgery/regular surgery)

.093

.071

3.66

8.57

−13.21-20.54

.669

Type of surgery (pediatric surgery / adult surgery)

.153

.008

29.85

14.50

1.28–58.42

.041

Site of procedure (deep incision and organ/space / superficial incision)

.164

.005

20.19

6.07

8.24–32.14

.001

Wound classification (contaminated and dirty/ clean and clean-contaminated)

.021

.368

4.82

6.62

−8.23-17.87

.467

Indoor air temperature (°C)

.104

.051

9.40

3.95

1.61–17.18

.018

Indoor air relative humidity (%)

.001

.499

1.32

.81

−0.27-2.91

.104

Number of indoor staff (n)

.217

<.001

4.93

1.75

1.47–8.38

.005

Frequency of operating room door opening during a surgical procedure (n)

.109

.043

7.28

3.77

−0.15-14.70

.055

Sequence of the operation during the day

.065

.154

2.21

2.13

−2.00-6.41

.302

Time of sampling

.052

.205

3.65

4.45

−5.13-12.42

.413

Surgical staging (before incision and after wound closure /during incision to wound closure)

.346

<.001

36.50

5.96

24.76–48.25

<.001

  1. *CI Confidence Interval; #Surgery time = during incision to wound closure