Journal List > Korean J Anesthesiol > v.69(4) > 1156248

Koo, Sim, Shin, Kim, Kang, Do, and Na: Surgical site infection after colorectal surgery according to the main anesthetic agent: a retrospective comparison between volatile anesthetics and propofol

Abstract

Background

Anesthetic agents used for general anesthesia are emerging possible influential factors for surgical site infection (SSI). In this retrospective study, we evaluated the incidence of SSI after colorectal surgery according to the main anesthetic agents: volatile anesthetics vs. propofol.

Methods

A total 1,934 adult patients, who underwent elective colorectal surgery under general anesthesia between January 2011 and December 2013, were surveyed to evaluate the incidence of SSI: 1,519 using volatile anesthetics and 415 using propofol for main anesthetic agents. Patient, surgery, and anesthesia-related factors were investigated from all patients. Propensity-score matching was performed to reduce the risk of confounding and produced 390 patients in each group.

Results

Within the propensity-score matched groups, the incidence of SSI was higher in the volatile group compared with the propofol group (10 [2.6%] vs. 2 [0.5%], OR = 5.0 [95% CI = 1.1-2.8]). C-reactive protein was higher in the volatile group than in the propofol group (8.4 ± 5.6 vs. 7.1 ± 5.3 mg/dl, P = 0.001), and postoperative white blood cells count was higher in the volatile group than in the propofol group (9.2 ± 3.2 × 103/µl vs. 8.6 ± 3.4 × 103/µl, P = 0.041).

Conclusions

The results of this study suggest that intravenous anesthesia may have beneficial effects for reducing SSI in colorectal surgery compared to volatile anesthesia.

Introduction

Surgical site infection (SSI) is the most common postoperative major complication followed by respiratory, thromboembolic, and cardiovascular complications, and it is one of the predictors of mortality and morbidity after surgery [1]. SSI interferes with wound healing, which increases the postoperative morbidity, hospital stay, and medical cost [2]. Surgical or patient-related conditions have generally been considered to be contributing factors to SSI; however, it has become more probable that perioperative anesthetic care would influence SSI [34]. Careful anesthetic and perioperative managements, such as body temperature [5], intravascular volume status [6], inspired oxygen concentration [7], and blood transfusion [8], were required for the prevention of SSI. Considering the anesthetic technique, regional anesthesia was reported to have beneficial effects for SSI or systemic infection compared with general anesthesia [910].
Anesthetic agents used for general anesthesia are also becoming influential factors for SSI. Opioid administered for the management of intra- and postoperative pain showed immunosuppressive effects [11]. In addition, remifentanil-based general anesthesia was reported to increase the postoperative SSI rate [12]. On the contrary, it was revealed that propofol had anti-inflammatory and anti-oxidative effect at clinical plasma concentrations [13]. Moreover, alveolar macrophage was reported to express less proinflammatory cytokine genes during propofol anesthesia than isoflurane anesthesia [14].
Despite the differential effects of anesthetic agents on the immune or inflammatory response, the incidence of SSI has rarely been studied in specific clinical conditions. Under the hypothesis that patients managed with intravenous anesthesia would have less SSI compared with those receiving volatile anesthetic agent, we retrospectively evaluated the incidence of SSI after colorectal surgery under general anesthesia by different main anesthetic agents: volatile anesthetics vs. propofol.

Materials and Methods

Study population and data source

After getting an approval from the Institutional Review Board, we retrospectively reviewed the electronic medical records of all adult inpatients who underwent elective colorectal surgery under general anesthesia from January 2011 to December 2013. The following ICD-9-CM procedure codes were used to select appropriate patients: 45.7, 45.8, 46.1, 46.52, 48.5, 48.63, and 17.3. This study was exempted from the need to obtain informed consent and was registered at ClinicaTrials.
The independent variable of interest was the main anesthetic agents used for general anesthesia, and the primary study outcome was whether there was an SSI occurrence or not during the postoperative 30-day period. The occurrence of SSI included any superficial-incisional, deep-incisional, and organ/space SSIs. In our hospital, a patient suspected of having SSI was primarily examined by a surgeon and, if necessary, an infection specialist. SSI was finally diagnosed according to the criteria of the Centers for Disease Control and Prevention (Appendix) [15] and reported to the Infection Control Department of our hospital by a web-based recording system.

General anesthesia technique

General anesthesia and patient care were generally performed as follows. At the preoperative reception area, midazolam 1.5–2 mg was administered intravenously to patients in order to relieve anxiety. After arriving at the operating room, non-invasive arterial pressure, pulse oximetry, and electrocardiogram were routinely monitored before the induction of general anesthesia. The main anesthetic technique was either volatile (volatile group) or intravenous anesthesia (propofol group) according to the preference of the attending anesthesiologists. For the volatile group, a bolus dose of 1.5–2 mg/kg propofol was administered to patients for the induction of general anesthesia, and then sevoflurane or desflurane for the maintenance of anesthesia. For the propofol group, propofol was given to patients via a target-controlled infusion (TCI) device (Orchestra; Fresenius Vial, Brezins, France) as the main anesthetic drug. The effect site concentration (Ce) of propofol was titrated during the operation on the basis of bispectral index. Remifentanil was given via TCI in both volatile and propofol groups for intraoperative analgesia. The Ce of remifentanil was usually titrated depending on the autonomic response, such as arterial pressure or heart rate, during the operation. Rocuronium was used for tracheal intubation as well as intraoperative muscle relaxation. Patient's body temperature was monitored via the esophageal probe. To maintain body temperature, a circulating water-heating pad was placed on the operating table and a forced-air warmer was applied on the upper body of patients during the operation. Intravenous prophylactic antibiotic agent was given to each patient within 30 min before surgical incision.

Outcome variables

For the evaluation of SSI occurrence, we collected the following data related to SSI: (1) Patient-related factors like basic characteristics of patients including age, gender, height, weight, body mass index (BMI), preoperative blood glucose level, American Society of Anesthesiologists (ASA) physical status, current smoking state, and the lowest body temperature during the operation; (2) Surgery-related factors including the operator name, the operation name, operation type (laparotomy or laparoscopy), the duration of operation, and location where patients were discharged after finishing the operation; (3) Anesthesia-related factors including the main anesthetic agents, duration of anesthesia, use of postoperative patient-controlled analgesia, and perioperative blood transfusion; and (4) blood tests including pre- and postoperative white blood cell (WBC) count with the percentage of segmented neutrophils and postoperative C-reactive protein (CRP). Preoperative blood tests were chosen within 3 months prior to the operation. Postoperative blood tests were performed at postoperative first day.

Statistics

Student's t-test or chi-square test including odds ratio (OR) and 95% confidence interval (CI) was conducted to examine the differences between the volatile and the propofol groups. A binary logistic regression model was applied to determine whether or not there were predisposing factors in the occurrence of SSI, and the strength of association is presented as the OR with 95% CI. The dependent variable was the occurrence of SSI. The independent variables included age, BMI, ASA physical status, operator, operation time, general anesthesia technique, laparotomy or laparoscopic surgical procedure, current smoking status, glucose range, and perioperative transfusion.
Propensity score matching was performed to reduce the risk of confounding between the volatile and the propofol groups. Propensity scores were calculated by logistic regression model. The independent variables were age, gender, BMI, ASA, operator, operation type, preoperative smoking, glucose level, and perioperative transfusion. The dependent variable was the main anesthetic technique: volatile or intravenous anesthesia. We performed nearest-neighbor matching with caliper of 0.1. We computed and compared the absolute standardized differences between the two groups. For propensity score matched data, paired t-test or McNemar test was performed appropriately. In addition, conditional logistic regression analysis with one covariate, anesthetic type, was used to calculate the OR and 95% CI for occurrence of SSI.
All analyses were performed by using R software program (ver. 3.1.2; R Foundation for Statistical Computing, Vienna, Austria) and SPSS software (ver. 22; IBM Corp., Armonk, NY, USA), and a P value of less than 0.05 was considered statistically significant.

Results

Total 2,137 inpatient-records were evaluated and 203 patients were excluded from the study due to the emergency operation (n = 61), regional anesthesia (n = 58), and cooperation with other surgical department (n = 84). Of the remaining 1,934 records, volatile and intravenous anesthesia were performed in 1,519 and 415 patients, respectively, and 390 patients were selected in each group by the propensity score matching process (Fig. 1).
The patients' characteristics and the information regarding the surgery and anesthesia are presented in Table 1, and significant differences were found in the name of operation between the two groups. Stoma operations were done significantly more frequently in the propofol group than in the volatile group (P < 0.001). In the propensity score-matched cohorts, this different parameter became comparable between the two groups.
The overall incidence of SSI was higher in the volatile group than in the propofol group (38 [2.5%] vs. 2 [0.5%], OR = 5.3 [95% CI = 1.3–22.1, P = 0.004). In the propensity score-matched cohorts, SSI also occurred more frequently in the volatile group than in the propofol group (10 [2.6%] vs. 2 [0.5%], OR = 5.0, 95% CI = 1.1–22.8, P = 0.039). However, when we subdivided the class of SSI, the incidence was not different between the two groups before and after the propensity matching (P = 0.084 and 0.180, respectively) (Table 2).
Table 3 showed the results of logistic regression analysis. Factors found to be significantly influential for the occurrence of SSI were the followings: anesthetic technique, with the volatile group being 5.3 (95% CI, 1.2–22.5; P = 0.026) times more likely to experience SSI than the propofol group; perioperative red blood cells (RBC) transfusion, with patients receiving RBC being 2.7 (95% CI, 1.1–6.2; P = 0.026) times more likely to experience SSI than patients not receiving RBC.
Preoperative WBC count and the portion of segment neutrophils and lymphocytes were comparable between the two groups before and after propensity matching. Postoperative WBC count was lower and the portion of lymphocytes was higher in the propofol group after the propensity matching. Irrespective of the propensity score matching, postoperative CRP was higher in the volatile group than in the propofol group (Table 4). When our patients were subdivided into the SSI group (n = 40) or non-SSI group (n = 1,894), CRP of the SSI group were significantly higher than that of the non-SSI group (9.7 ± 6.2 mg/dl in SSI group vs. 7.7 ± 5.4 mg/dl in non-SSI group, P = 0.021). The proportion of patients who received blood transfusion during the perioperative period was not different between the volatile and the propofol groups (Table 5).

Discussion

In this study, we found that SSI occurred less frequently in patients undergoing elective colorectal surgery receiving intravenous anesthesia compared to volatile anesthesia.
With regard to the anesthetic agents, propofol was known to have anti-inflammatory and anti-oxidant activity. Propofol reduced the production of proinflammatory cytokines or chemokines, such as tumour necrosis factor-α, interleukin (IL)-1, IL-6, and IL-8 [161718], and it inhibited the production of reactive oxygen species (ROS) and decreased the oxidative stress [1920]. Enhanced ROS generation plays a key role in the progression of inflammatory disease [21], and previous studies reported that inhibition of overproduction of ROS could improve the inflammatory reaction [22].
Conversely, it was reported that macrophage aggregation and neutrophil influx were more pronounced in inhalation anesthesia than propofol anesthesia [23], and gene expression of proinflammatory cytokines was increased after inhalation anesthesia [24]. In addition, volatile anesthetics modulated the p38 mitogen-activated protein kinase [25], which is a significant signaling pathway to up-regulate the cytokine production in inflammation [26].
This discrepancy between the type of main anesthetic agents seems to impact the SSI occurrence in our patients. Although there have been various results analysing the effect of each anesthetic agent on the inflammatory biomarker or immunomodulation, the incidence of SSI has rarely been investigated according to the main anesthetic agent. To the best our knowledge, only one study evaluated the result of SSI according to different general anesthetic agents. In contrast to our results, Shimizu et al. [27], in a retrospective study, reported that SSI was less likely to occur after sevoflurane anesthesia in elective open gastrointestinal surgeries compared with propofol anesthesia. However, an important drawback in their study was that they provided either epidural injection of ropivacaine or continuous intravenous infusion of remifentanil for intraoperative analgesia to each patient, which was not considered for the analysis of postoperative SSI. Some studies have already reported that regional anesthesia is related to a reduced occurrence of SSI as well as less systemic infectious complications than general anesthesia in some clinical settings [910]. Moreover, opioids, such as morphine and fentanyl, were known to result in immunosuppression [11], and it was also reported that remifentanil-based anesthesia increased the incidence of SSI compared with fentanyl-based anesthesia [12]. Our patients in both groups were given intraoperative remifentanil in common, thus, there did not seem to be confounding factors related to the intra- and postoperative analgesic method in our cohort. However, it is still apprehended whether there was any difference in the amount of remifentanil infused during the operation, which could not be verified retrospectively in the anesthetic records.
CRP is found in blood plasma, the level of which increases in response to infection/inflammation. The propofol group patients showed lower CRP level irrespective of the propensity-score matching, thus, they might have less acute inflammatory reaction at postoperative 1 day. CRP was already known to be related with postoperative infectious complications [28].
Several limitations should be emphasized in this study. First, the OR for SSI would change enormously, if a couple more SSI occurred in the propofol group by chance. Along this line, an OR of 5 is more or less high, even if anesthetic agents influence the occurrence of SSI. Second, due to the retrospective nature of this study, several risk factors, such as surgical suture quality, mechanical tension on the wound, tissue perfusion, quality of analgesia, perioperative volume status, and inspired fraction of oxygen, could not be evaluated properly. These variables could affect the outcome although we used the propensity score matching to minimize the selection bias. Third, patients of the volatile group received 1.5–2.5 mg/kg of propofol for inducing general anesthesia. Even though propofol is metabolized rapidly in the liver, we could not thoroughly exclude the potential effect of a single dose of propofol on SSI in the volatile group. Last, the volatile group included all patients received any volatile anesthetic, sevoflurane or desflurane, for the main anesthetic agent. However, sevoflurane has been reported to have more favorable effect on anti-inflammatory responses [2930]. Definite clinical outcome has not been turned out according to the sort of volatile anesthetics, and a further study is required to address this issue.
In summary, our results suggest that intravenous anesthesia has beneficial effects for reducing SSI in colorectal surgery compared with volatile anesthesia. A larger prospective study incorporating a standardized anesthesia protocol is now required to further investigate the role of different general anesthesia techniques in postoperative SSI.

Acknowledgments

The authors thank the Medical Research Collaborating Center at Seoul National University Bundang Hospital for statistical analyses.

Appendix

Appendix

Diagnosis Criteria for Surgical Site Infection (SSI)

kjae-69-332-a001.jpg

References

1. Khuri SF, Henderson WG, DePalma RG, Mosca C, Healey NA, Kumbhani DJ. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg. 2005; 242:326–341. PMID: 16135919.
crossref
2. Kirkland KB, Briggs JP, Trivette SL, Wilkinson WE, Sexton DJ. The impact of surgical-site infections in the 1990s: attributable mortality, excess length of hospitalization, and extra costs. Infect Control Hosp Epidemiol. 1999; 20:725–730. PMID: 10580621.
crossref
3. Forbes SS, McLean RF. Review article: the anesthesiologist's role in the prevention of surgical site infections. Can J Anaesth. 2013; 60:176–183. PMID: 23263980.
crossref
4. Mauermann WJ, Nemergut EC. The anesthesiologist's role in the prevention of surgical site infections. Anesthesiology. 2006; 105:413–421. PMID: 16871076.
crossref
5. Kurz A, Sessler DI, Lenhardt R. Perioperative normothermia to reduce the incidence of surgical-wound infection and shorten hospitalization. Study of Wound Infection and Temperature Group. N Engl J Med. 1996; 334:1209–1215. PMID: 8606715.
6. Hartmann M, Jönsson K, Zederfeldt B. Effect of tissue perfusion and oxygenation on accumulation of collagen in healing wounds. Randomized study in patients after major abdominal operations. Eur J Surg. 1992; 158:521–526. PMID: 1360822.
7. Greif R, Akça O, Horn EP, Kurz A, Sessler DI. Supplemental perioperative oxygen to reduce the incidence of surgical-wound infection. N Engl J Med. 2000; 342:161–167. PMID: 10639541.
crossref
8. Heiss MM, Mempel W, Jauch KW, Delanoff C, Mayer G, Mempel M, et al. Beneficial effect of autologous blood transfusion on infectious complications after colorectal cancer surgery. Lancet. 1993; 342:1328–1333. PMID: 7901637.
crossref
9. Chang CC, Lin HC, Lin HW, Lin HC. Anesthetic management and surgical site infections in total hip or knee replacement: a population-based study. Anesthesiology. 2010; 113:279–284. PMID: 20657202.
10. Liu J, Ma C, Elkassabany N, Fleisher LA, Neuman MD. Neuraxial anesthesia decreases postoperative systemic infection risk compared with general anesthesia in knee arthroplasty. Anesth Analg. 2013; 117:1010–1016. PMID: 24023024.
crossref
11. Sacerdote P. Opioid-induced immunosuppression. Curr Opin Support Palliat Care. 2008; 2:14–18. PMID: 18685388.
crossref
12. Inagi T, Suzuki M, Osumi M, Bito H. Remifentanil-based anaesthesia increases the incidence of postoperative surgical site infection. J Hosp Infect. 2015; 89:61–68. PMID: 25477060.
crossref
13. Chen RM, Chen TG, Chen TL, Lin LL, Chang CC, Chang HC, et al. Anti-inflammatory and antioxidative effects of propofol on lipopolysaccharide-activated macrophages. Ann N Y Acad Sci. 2005; 1042:262–271. PMID: 15965071.
crossref
14. Kotani N, Hashimoto H, Sessler DI, Yasuda T, Ebina T, Muraoka M, et al. Expression of genes for proinflammatory cytokines in alveolar macrophages during propofol and isoflurane anesthesia. Anesth Analg. 1999; 89:1250–1256. PMID: 10553845.
crossref
15. Horan TC, Gaynes RP, Martone WJ, Jarvis WR, Emori TG. CDC definitions of nosocomial surgical site infections, 1992: a modification of CDC definitions of surgical wound infections. Am J Infect Control. 1992; 20:271–274. PMID: 1332552.
crossref
16. Takemoto Y. Dose effects of propofol on hemodynamic and cytokine responses to endotoxemia in rats. J Anesth. 2005; 19:40–44. PMID: 15674515.
crossref
17. Hsu BG, Yang FL, Lee RP, Peng TC, Chen HI. Effects of post-treatment with low-dose propofol on inflammatory responses to lipopolysaccharide-induced shock in conscious rats. Clin Exp Pharmacol Physiol. 2005; 32:24–29. PMID: 15730430.
crossref
18. Galley HF, Dubbels AM, Webster NR. The effect of midazolam and propofol on interleukin-8 from human polymorphonuclear leukocytes. Anesth Analg. 1998; 86:1289–1293. PMID: 9620522.
crossref
19. Hsing CH, Chou W, Wang JJ, Chen HW, Yeh CH. Propofol increases bone morphogenetic protein-7 and decreases oxidative stress in sepsis-induced acute kidney injury. Nephrol Dial Transplant. 2011; 26:1162–1172. PMID: 20864551.
crossref
20. Hsu HT, Tseng YT, Hsu YY, Cheng KI, Chou SH, Lo YC. Propofol attenuates lipopolysaccharide-induced reactive oxygen species production through activation of Nrf2/GSH and suppression of NADPH oxidase in human alveolar epithelial cells. Inflammation. 2015; 38:415–423. PMID: 25342287.
crossref
21. Hsu HT, Tseng YT, Hsu YY, Cheng KI, Chou SH, Lo YC. Propofol attenuates lipopolysaccharide-induced reactive oxygen species production through activation of Nrf2/GSH and suppression of NADPH oxidase in human alveolar epithelial cells. Inflammation. 2015; 38:415–423. PMID: 25342287.
crossref
22. Rada B, Gardina P, Myers TG, Leto TL. Reactive oxygen species mediate inflammatory cytokine release and EGFR-dependent mucin secretion in airway epithelial cells exposed to Pseudomonas pyocyanin. Mucosal Immunol. 2011; 4:158–171. PMID: 20962773.
crossref
23. Kotani N, Hashimoto H, Sessler DI, Kikuchi A, Suzuki A, Takahashi S, et al. Intraoperative modulation of alveolar macrophage function during isoflurane and propofol anesthesia. Anesthesiology. 1998; 89:1125–1132. PMID: 9822000.
crossref
24. Kotani N, Takahashi S, Sessler DI, Hashiba E, Kubota T, Hashimoto H, et al. Volatile anesthetics augment expression of proinflammatory cytokines in rat alveolar macrophages during mechanical ventilation. Anesthesiology. 1999; 91:187–197. PMID: 10422944.
crossref
25. Itoh T, Hirota K, Hisano T, Namba T, Fukuda K. The volatile anesthetics halothane and isoflurane differentially modulate proinflammatory cytokine-induced p38 mitogen-activated protein kinase activation. J Anesth. 2004; 18:203–209. PMID: 15290420.
crossref
26. Herlaar E, Brown Z. p38 MAPK signalling cascades in inflammatory disease. Mol Med Today. 1999; 5:439–447. PMID: 10498912.
crossref
27. Shimizu K, Hirose M, Mikami S, Takamura K, Goi T, Yamaguchi A, et al. Effect of anaesthesia maintained with sevoflurane and propofol on surgical site infection after elective open gastrointestinal surgery. J Hosp Infect. 2010; 74:129–136. PMID: 20061057.
crossref
28. Fujii T, Tabe Y, Yajima R, Tsutsumi S, Asao T, Kuwano H. Relationship between C-reactive protein levels and wound infections in elective colorectal surgery: C-reactive protein as a predictor for incisional SSI. Hepatogastroenterology. 2011; 58:752–755. PMID: 21830384.
29. Koksal GM, Sayilgan C, Gungor G, Oz H, Sen O, Uzun H, et al. Effects of sevoflurane and desflurane on cytokine response during tympanoplasty surgery. Acta Anaesthesiol Scand. 2005; 49:835–839. PMID: 15954968.
crossref
30. Allaouchiche B, Debon R, Goudable J, Chassard D, Duflo F. Oxidative stress status during exposure to propofol, sevoflurane and desflurane. Anesth Analg. 2001; 93:981–985. PMID: 11574369.
crossref
Fig. 1

Flow diagram of the study cohort.

kjae-69-332-g001
Table 1

Characteristics of Patients, Anesthesia, and Surgery before and after Propensity Matching

Before matching After matching
Volatile (n = 1519) Propofol (n = 415) P value Volatile (n = 390) Propofol (n = 390) P value
Age (yr) 62.4 ± 13.3 61.5 ± 12.4 0.219 61.7 ± 13.4 61.5 ± 12.4 0.808
Gender 0.778 0.430
 Male 895 (58.9%) 248 (59.8%) 222 (56.9%) 234 (60.0%)
 Female 624 (41.1%) 167 (40.2%) 168 (43.1%) 156 (40.0%)
Height (cm) 161.4 ± 11.3 162.0 ± 10.4 0.326 161.2 ± 12.4 161.9 ± 10.4 0.405
Weight (kg) 61.6 ± 11.2 61.9 ± 10.5 0.705 61.9 ± 11.8 61.6 ± 10.5 0.773
BMI (kg/m2) 24.1 ± 10.7 23.8 ± 7.7 0.598 24.6 ± 12.2 23.8 ± 7.9 0.306
ASA (1/2/3/4/5) 0.204 0.543
 1 486 (32.7%) 121 (29.6%) 118 (30.3%) 112 (28.7%)
 2 865 (58.1%) 261 (63.8%) 245 (62.8%) 254 (65.1%)
 3 125 (8.4%) 26 (6.4%) 26 (6.7%) 23 (5.9%)
 4 10 (0.7%) 1 (0.2%) 1 (0.3%) 1 (0.3%)
 5 2 (0.1%) 0 (0%) 0 (0%) 0 (0%)
Preoperative smoking 477 (31.4%) 147 (35.4%) 0.124 121 (29.8%) 142 (35.0%) 0.117
Preoperative glucose (mg/dl) 0.509 0.496
 < 70 13 (0.9%) 6 (1.4%) 8 (2.1%) 5 (1.3%)
 70–110 760 (50.1%) 211 (51.0%) 191 (49.0%) 201 (51.5%)
 > 110 744 (49.0%) 197 (47.6%) 191 (49.0%) 184 (47.2%)
Operation time (h) 2.8 (1.5) 3.0 (1.8) 0.104 2.7 (1.4) 2.8 (1.8) 0.387
Anesthesia time (h) 3.6 (1.6) 3.8 (1.9) 0.129 3.6 (1.5) 3.7 (1.9) 0.415
Discharge 0.055 1.000
 PACU 1353 (89.1%) 383 (92.3%) 362 (92.8%) 361 (92.6%)
 ICU 166 (10.9%) 32 (7.7%) 28 (7.2%) 29 (7.4%)
Postoperative body temperature (℃) 35.4 ± 7.6 35.4 ± 11.3 1.000 35.3 ± 8.9 35.4 ± 9.5 0.879
Postoperative hypothermia (< 35℃) 301 (19.8%) 88 (21.2%) 0.578 80 (20.5%) 85 (21.8%) 0.726
Postoperative PCA 0.203 0.210
 Yes 1480 (97.4%) 409 (98.6%) 379 (97.2%) 385 (98.7%)
 No 39 (2.6%) 6 (1.4%) 11 (2.8%) 5 (1.3%)
Operator 0.139 0.107
 A 715 (47.1%) 189 (45.5%) 218 (55.9%) 180 (46.2%)
 B 638 (42.0%) 166 (40.0%) 124 (31.8%) 156 (40.0%)
 C 166 (10.9%) 60 (14.5%) 48 (12.3%) 54 (13.8%)
Operation name < 0.001 0.056
 Colorectal surgery, open 529 (34.8%) 99 (23.9%) 110 (28.2%) 92 (23.6%)
 Colorectal surgery, laparoscopic 771 (50.8%) 215 (51.8%) 179 (45.9%) 203 (52.1%)
 APR, open 32 (2.1%) 5 (1.2%) 10 (2.6%) 5 (1.3%)
 APR, laparoscopic 28 (1.8%) 6 (1.4%) 8 (2.1%) 6 (1.5%)
 Stoma operation 159 (10.5%) 90 (21.7%) 83 (21.3%) 84 (21.5%)
Operation type 0.912 0.126
 Open 716 (47.1%) 194 (46.7%) 203 (52.1%) 181 (46.4%)
 Laparoscopic 803 (52.9%) 221 (53.3%) 187 (47.9%) 209 (53.6%)

Data are Presented as Mean ± SD or Number (%). BMI: body mass index, ASA: American Society of Anesthesiologist physical status, PACU: post-anesthetic care unit, ICU: intensive care unit, PCA: patient-controlled analgesia, APR: abdominoperineal resection. Data before matching were missing for the following variables: height (missing in 13 cases), weight (missing in 8 cases), BMI (missing in 14 cases), ASA (missing in 37 cases), glucose (missing in 3 cases).

Table 2

The Classification of Surgical Site Infection

Before matching After matching
Volatile (n = 1519) Propofol (n = 415) P value Volatile (n = 390) Propofol (n = 390) P value
No SSI 1481 (97.5%) 413 (99.5%) 0.004 380 (97.4%) 388 (99.5%) 0.039
SSI 38 (2.5%) 2 (0.5%) 0.084* 10 (2.6%) 2 (0.5%) 0.180*
 Superficial SSI 20 (1.3%) 1 (0.2%) 4 (1.0%) 1 (0.3%)
 Deep SSI 14 (0.9%) 1 (0.2%) 5 (1.0%) 1 (0.3 %)
 Organ/space SSI 4 (0.3%) 0 (0.0%) 1 (0.3%) 0 (0.0%)

Data are Presented as Number (%). SSI: surgical site infection. *The P value among 4 categories, No SSI, superficial SSI, deep SSI, organ/space SSI.

Table 3

Binary Logistic Regression Analysis for Surgical Site Infection

Independent variables OR (95% CI) P value
Age (yr) 1.00 (0.97–1.03) 0.873
BMI (kg/m2) 0.96 (0.95–1.05) 0.848
ASA 0.445*
 1 1
 2 0.67 (0.29–1.55) 0.347
 3 1.62 (0.54–4.87) 0.387
 4 1.50 (0.14–16.50) 0.741
 5 0.00 (0.00–) 0.999
Operation time 1.12 (0.95–1.33) 0.186
Operation method 0.724
 Laparotomy 1
 Laparoscopy 0.87 (0.41–1.86)
Anesthesia technique 0.026
 Intravenous 1
 Volatile 5.24 (1.21–22.51)
Smoking 0.564
 No 1
 Yes 1.24 (0.60–2.57)
Glucose 0.194*
 70–110 mg/dl 1
 < 70 mg/dl 0.00 (0.00–) 0.999
 > 110 mg/dl 1.95 (1.95–4.01) 0.070
RBC transfusion 0.026
 No 1
 Yes 2.65 (1.13–6.24)
FFP transfusion 0.450
 No 1
 Yes 1.56 (0.49–4.96)
Platelets transfusion 0.383
 No 1
 Yes 1.83 (0.47–7.07)

OR: odds ratio, CI: confidence interval, BMI: body mass index, ASA: American Society of Anesthesiologist physical status, RBC: red blood cell, FFP: fresh frozen plasma. *Overall categories comparison.

Table 4

The Classification of Surgical Site Infection

Before matching After matching
Volatile (n = 1519) Propofol (n = 415) P value Volatile (n = 390) Propofol (n = 390) P value
Preoperative
 WBC (103/µl) 6.3 ± 2.8 6.1 ± 2.3 0.290 6.0 ± 2.7 6.1 ± 2.3 0.786
 Segment neutrophils (%) 58.6 ± 11.4 58.0 ± 11.2 0.387 58.5 ± 11.7 58.2 ± 11.3 0.726
 Lymphocytes (%) 29.7 ± 10.5 30.0 ± 10.2 0.604 29.6 ± 10.9 29.8 ± 10.3 0.802
Postoperative 9.1 ± 3.7 9.2 ± 3.2 0.698 9.2 ± 3.2 8.6 ± 3.4 0.041
 WBC (103/µl)
 Segment neutrophils (%) 74.2 ± 9.4 73.8 ± 10.3 0.472 74.3 ± 9.4 72.9 ± 11.0 0.061
 Lymphocytes (%) 15.5 ± 8.1 15.2 ± 7.4 0.496 15.1 ± 7.4 16.4 ± 9.0 0.037
 CRP (mg/dl) 8.4 ± 5.5 7.6 ± 5.4 0.008 8.4 ± 5.6 7.1 ± 5.3 0.001

Data are Presented as Number (%). WBC: white blood cell, CRP: C-reactive protein.

Table 5

The Incidence of Perioperative Blood Product Transfusion

Before matching After matching
Volatile (n = 1519) Propofol (n = 415) P value Volatile (n = 390) Propofol (n = 390) P value
RBC 312 (20.5%) 73 (17.6%) 0.188 65 (16.7%) 67 (17.2%) 0.920
FFP 81 (5.3%) 27 (6.5%) 0.337 23 (5.9%) 26 (6.7%) 0.546
Platelets 37 (2.4%) 10 (2.4%) 1.000 7 (1.8%) 9 (2.3%) 0.791

Data are Presented as Number (%). RBC: red blood cells, FFP: fresh frozen plasma.

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