Seasonal Factors Associated with Surgical Site Infections Following Gynecologic and Obstetric Surgeries and Pathogen Identification: A Retrospective Study in A Single Center in China

Introduction

Surgical site infections (SSIs) are the most common nosocomial infections in patients undergoing gynecologic and obstetric surgeries. SSIs increase patient discomfort, prolong hospital stays, and raise healthcare costs.1,2 Anderson et al3 reported that SSIs occurred in 2–5% of surgical procedures, accounting for 20% of nosocomial infections. Chen et al4 found that SSIs occurred in 3.79% of surgical procedures. Fu et al5 showed that SSIs represent the highest proportion of nosocomial infections in gynecologic and obstetric hospitals. Seasonal factors are a significant risk factor for SSIs.6 Previous studies have found that seasonality has a greater impact than age, duration of surgery, length of hospital stay, body mass index, or smoking.7,8 However, the impact of seasonality on SSIs varies across regions despite similar seasons, temperatures, and humidity.9 Anthony et al10,11 noted that SSIs correlate with temperature and weather, with the highest incidence in August and the lowest in January, accompanied by a high SSI incidence in total knee and hip arthroplasty in summer. Hu et al12 reported high SSI incidence in orthopedic surgeries during summer and autumn. While previous studies on SSI prevention have focused on patient characteristics, research combining patient characteristics and seasonality is rare.13 This study investigated the incidences of SSIs in patients before, during, and after surgeries under the influence of seasonality.

This study was conducted at a tertiary grade-A obstetrics and gynecology hospital in southwestern China. It aimed to evaluate independent risk factors for SSIs associated with seasonal factors in 185 cases from September 2013 to June 2021.

Materials and MethodsEthics Approval

This study was approved by the Medical Ethics Committee of the West China Second University Hospital, Sichuan University [2022 Medical Scientific Research for Ethical Approval No. (135)]. Verbal informed consent to participate in this study was obtained from all participants before data collection. The Medical Ethics Committee of West China Second University Hospital, Sichuan University approved the verbal informed consent procedure for this study.

Study Participants

This was a retrospective study involving 185 patients who developed SSIs following gynecologic and obstetric surgeries at a tertiary grade-A obstetrics and gynecology hospital in southwestern China from September 2013 to June 2021. Their average age was 45.40 ± 12.13 years.

The inclusion criteria were as follows: (1) patients who underwent abdominal, transvaginal, or laparoscopic surgery (including single-port laparoscopic surgery) to treat gynecologic tumors, teratomas, multiple uterine fibroids, or chocolate cysts, and (2) patients who underwent cesarean section due to poor fetal conditions or conditions unsuitable for vaginal delivery.

The exclusion criteria were as follows: (1) patients who underwent transvaginal cervical or hysteroscopic surgery for gynecologic diseases, (2) patients who underwent surgeries involving the intestines, (3) patients who underwent episiotomy and suturing during vaginal delivery, (4) patients with an infection prior to surgery, (5) patients hospitalized for more than 30 days, (6) patients admitted for a second surgery, and (7) patients with an SSI occurring 30 days after admission to an intensive care unit for non-gynecologic or non-obstetric conditions.

Criteria for Surgical Site Infections and Wound Healing

The Identifying Criteria for Nosocomial Infections (Tentative), issued by the Ministry of Health of China, classifies infections in superficial incisions, deep incisions, or organ/space within 30 days post-surgery, or in deep incisions or organ/space within one-year post-implant surgery, as SSIs.14 Surgical wound healing was evaluated as follows:15

Grade A: The incision healed well with no adverse reactions.

Grade B: The incision healed poorly, with defects but no suppuration.

Grade C: Pus appeared in the incision, which was left open or opened to remove pus.

Monitoring Indicators

The following indicators were monitored to determine possible factors for SSIs associated with seasonal changes:

Before surgery: age, length of hospital stay, body mass index, white blood cell count, hemoglobin count, presence of heart disease, hypertension, diabetes mellitus, cancer, malnutrition or anemia, wound classification, National Nosocomial Infections Surveillance (NNIS) system risk index, chemotherapy treatment, prior laparotomy, and skin preparation. During surgery: surgical approach, type of surgery, type of anesthesia, blood transfusion, duration of surgery, and amount of blood loss. After surgery: presence of a surgical drain, delayed wound closure with suture, and type of SSI.

In this study, spring spanned January to March, summer from April to June, autumn from July to September, and winter from October to December.

Data Collection

Data were collected from patients’ medical records by researchers with over 7 years of clinical experience in obstetrics and gynecology and over 6 years in nosocomial infection control. Patients were informed of the study’s purpose before data collection. Surgical incision drainage samples were inoculated on blood agar, MacConkey agar, and Sabouraud agar plates (Guangzhou Detgerm Microbiological Science Ltd., China), incubated at approximately 35 °C with 5% CO2 and 15% O2 in a FORMA 3111 CO2 incubator. Bacterial isolation and culture followed the Guidelines on Clinical Laboratory Procedures of China. Pathogenic bacteria were identified using a VITEK® 2 Compact System mass spectrometer (BioMérieux, France).

Statistical Analysis

IBM SPSS Statistics 23.0 was used for data analysis. The Chi-square test was used for categorical variables in univariate analysis. Normality tests were performed on continuous numerical variables, with normally distributed variables analyzed using a one-way analysis of variance and non-normally distributed variables using a non-parametric k independent-sample test. Multivariate analysis was conducted for factors with P < 0.01. Multivariate logistic regression analyzed seasonal factors, with statistical significance set at P < 0.05.

ResultsDistribution of Patients with SSIs

Of the 201,912 patients who underwent gynecologic and obstetric surgeries at the hospital from September 2013 to June 2021, 938 (0.46%) developed nosocomial infections. Of these, 254 (27.08%) had SSIs, the largest proportion of infections in patients undergoing gynecologic and obstetric surgeries. A total of 185 cases who met all inclusion criteria and did not met any exclusion criteria were included. Of these, 167 underwent elective surgeries and 18 (15 obstetrics, 3 gynecologic) underwent emergency surgeries. Incision types included vertical (130), transverse (33), perineal (3), vulvar (11), endoscopic (4), oblique (3), and splayed (1). The median length of hospital stay was 20 days (interquartile range: 16–26), and the median time to SSI development was 7 days (interquartile range: 5–10). Surgical approaches included abdominal (164, 88.65%), transvaginal (11, 5.41%), and laparoscopic (10, 5.95%), including 3 single-port laparoscopic surgeries. SSI types were superficial incisional (168, 90.81%), deep incisional (13, 7.03%), and organ/space (4, 2.16%), with 1 case of superficial incisional SSI with bacteremia and 1 case of deep incisional SSI with urinary tract infection. Signs of SSIs included redness (or warmth), bleeding, odorous fluid, or pus, with necrotic tissue and cavities in severe cases and fever in some. Wound healing grades were A (109, 58.92%), B (68, 36.76%), and C (8, 4.32%) (Table 1).

Table 1 Distribution of Patients with Surgical Site Infections in Different Seasons (n = 185)

Pathogen Distribution in Patients with SSIs

Of the 185 patients, 1 had alleviated SSI symptoms after physical therapy, so her wound drainage was not sampled. Drainage samples from 184 patients yielded 196 pathogenic bacteria. One sample had no detectable pathogenic bacteria, and 13 samples contained two co-existing bacteria. Detected bacteria included Staphylococcus epidermidis (27.04%), Enterococcus faecalis (16.33%), Escherichia coli (14.29%), Staphylococcus aureus (11.73%), Pseudomonas aeruginosa (8.16%), Coagulase-negative staphylococci (4.59%), and Klebsiella pneumoniae (3.06%). Two drug-resistant Staphylococcus aureus strains were detected (Table 2).

Table 2 Pathogen Distribution in Patients with Surgical Site Infections

Univariate Analysis

Univariate analysis of all monitoring indicators showed heart disease and intraoperative blood loss as potential factors associated with SSIs, with statistical significance at P < 0.01 (Table 3).

Table 3 Univariate Analysis of Possible Risk Factors for Surgical Site Infections Associated with Seasonality

Multivariate Logistic Regression Analysis

Multivariate logistic regression analysis was performed for suspicious risk factors for SSIs associated with seasonality. A statistically significant difference was determined at P < 0.05 (Table 4).

Table 4 Multivariate Logistic Regression Analysis of Suspicious Risk Factors for Surgical Site Infections Associated with Seasonality (Reference Category: Autumn)

For SSIs, which were more likely in spring than autumn, patients with intraoperative blood loss ≥500 mL had a 2.640 times higher likelihood of SSIs compared to those with <500 mL (95% confidence interval: 1.055–6.609). Patients with ≥500 mL blood loss were more likely to develop SSIs in spring, not autumn, while those with <500 mL were more likely in autumn, not spring. The amount of intraoperative blood loss was associated with SSI incidences in spring and autumn. For SSIs more likely in winter than autumn, patients with ≥500 mL blood loss had a 2.567 times higher likelihood of SSIs compared to those with <500 mL (95% confidence interval: 1.132–5.818). Patients with ≥500 mL blood loss were more likely to develop SSIs in winter, not autumn, while those with <500 mL were more likely in autumn, not winter. Heart disease was not associated with SSI incidence in summer or autumn. Therefore, patients with ≥500 mL intraoperative blood loss were more likely to develop SSIs in spring and winter, while those with <500 mL were more likely in autumn.

Discussion

Durkin et al16 reported no seasonal differences in SSIs in tropical regions but noted a 2.1% increased SSI risk with a 2.8°C temperature rise. Lin et al17 found that the deep incisional SSI rate in summer was significantly higher than in winter for cesarean sections, confirming seasonality as an independent risk factor. Zhang et al18 showed that summer is independently associated with wound infections following laparoscopic surgery for ectopic pregnancies.

Our study revealed that patients with a blood loss ≥500 mL during surgery were more likely to develop SSIs following gynecologic and obstetric surgeries in spring and winter. The seasonal divisions in our study (spring: January–March, summer: April–June, autumn: July–September, winter: October–December) differ from local conventions (spring: March–May, summer: June–August, autumn: September–November, winter: December–February).19 Locally, summer (June–August, >25°C) and winter (December–February, >8°C) are typically high-risk seasons for SSIs in other studies. The possible reasons were as follows: (1) as a teaching hospital, staff vacations during certain periods reduce available personnel; (2) high temperatures may dilate pores, facilitating microbial invasion; while low temperature may constrict capillaries, delaying wound healing; (3) intraoperative blood loss reduces hemoglobin levels, with ≥500 mL causing adverse effects like infections and poor wound healing.20

Bacterial infections are a key cause of SSIs. Preoperative skin cleaning, surgical site disinfection, and strict aseptic techniques are critical for reducing pathogenic microbial colonization and preventing SSIs. Anderson et al3 identified Escherichia coli (34.86%), Pseudomonas aeruginosa (22.02%), and Staphylococcus aureus (16.97%) as common SSI pathogens. Różańska et al21 reported higher SSI incidences caused by Enterococcus and Enterobacter from November–January and June–August. Ou et al22 found no differences in Gram-positive versus Gram-negative bacteria in SSIs post-gynecologic surgeries, with Escherichia coli (36.10%), Staphylococcus aureus (18.10%), Staphylococcus epidermidis (12.50%), and Enterococcus faecalis (8.30%) as top pathogens, aligning with our findings. Enhanced monitoring of pathogen distribution, improved SSI treatment, and better bacterial identification and drug susceptibility testing are essential for SSI prevention.

This study cannot rule out that other monitoring indicators affected SSIs under seasonal influences. Not all indicators could be monitored in every season, and a small number of cases for some indicators were observed in certain seasons. This led to statistically significant differences in only a few monitoring indicators in univariate analysis. For example, no drainage tubes were inserted into wounds in spring (January–March) or winter (October–December), and no transvaginal surgeries occurred in spring (January–March). Similarly, of 5 heart disease cases included, the proportions for spring, summer, autumn, and winter were 0/5, 1/5, 4/5, and 0/5, respectively, limiting multivariate analysis in spring (January–March) and winter (October–December). Thus, a larger sample size is needed to analyze further seasonality’s influence on SSIs following gynecologic and obstetrics surgeries. Multi-center studies are suggested to monitor the influence of seasonality on SSIs in these surgeries.

Conclusions

As climate and temperature vary greatly across regions, even within the same season, it is recommended to establish standardized seasonal monitoring standards to monitor better the impact of seasons and patients’ characteristics on SSIs, thereby reducing the influence of seasonality on SSIs. Additionally, attention should be paid to strengthening warming measures for patients during surgery to maintain normal body temperature. To improve SSI treatment efficiency, incisional secretion samples should be submitted promptly for bacteria identification and drug susceptibility testings.

Data Sharing Statement

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Ethics Approval

This study was conducted in accordance with the principles of the Declaration of Helsinki. All research methods were conducted in accordance with relevant guidelines and regulations. This study was approved by the Medical Ethics Committee of the West China Second University Hospital, Sichuan University [2022 Medical Scientific Research for Ethical Approval No. (135)].

Funding

This research received no external funding.

Disclosure

The authors declare that they have no competing interests in this work.

References

1. Xu J, Wu B. Burden of nosocomial infections following cesarean sections and infection prevention. Maternal Child Health Care China. 2020;35(19):3578–3581. doi:10.19829/j.zgfybj.issn.1001-4411.2020.19.017

2. Wang J, Luo Y, Wang D, Liu F, Su C, Meng G. Factors associated with surgical site infections after gynecologic surgeries and their impact on medical expenses. Chin J Clin Ration Drug Use. 2019;12(30):8–10.

3. Anderson DJ, Podgorny K, Berríos-Torres SI, et al. Strategies to prevent surgical site infections in acute care hospitals: 2014 update. Infect Control Hosp Epidemiol. 2014;35(6):605–627. doi:10.1086/676022

4. Chen H, Wang H. Incidence and pathogens of surgical site infection in surgical patients in different seasons. Chin J Infect Control. 2017;16(9):873–875. doi:10.3969/j.issn.1671-9638.2017.09.021

5. Fu J, Tang M, Lin L, Zhang J, Xu J. Influence of feedforward control on surgical site infections in patients of gynecology and obstetrics department. Chin J Nosocomiol. 2017;27(17):3982–3985. doi:10.11816/cn.ni.2017-170612

6. Sahtoe APH, Duraku LS, van der Oest MJW, et al. Warm weather and surgical site infections: a meta-analysis. Plast Reconstr Surg Glob Open. 2021;9(7):e3705. doi:10.1097/GOX.0000000000003705

7. Ejaz A, Schmidt C, Johnston FM, Frank SM, Pawlik TM. Risk factors and prediction model for inpatient surgical site infection after major abdominal surgery. J Surg Res. 2017;217:153–159. doi:10.1016/j.jss.2017.05.018

8. Martin ET, Kaye KS, Knott C, et al. Diabetes and risk of surgical site infection: a systematic review and meta-analysis. Infect Control Hosp Epidemiol. 2016;37(1):88–99. doi:10.1017/ice.2015.249

9. Kobayashi K, Ando K, Kato F, et al. Seasonal variation in incidence and causal organism of surgical site infection after PLIF/TLIF surgery: a multicenter study. J Orthop Sci. 2021;26(4):555–559. doi:10.1016/j.jos.2020.05.015

10. Anthony CA, Peterson RA, Polgreen LA, Sewell DK, Polgreen PM. The seasonal variability in surgical site infections and the association with warmer weather: a population-based investigation. Infect Control Hosp Epidemiol. 2017;38(7):809–816. doi:10.1017/ice.2017.84

11. Anthony CA, Peterson RA, Sewell DK, et al. The seasonal variability of surgical site infections in knee and Hip arthroplasty. J Arthroplasty. 2018;33(2):510–514. doi:10.1016/j.arth.2017.10.043

12. Hu Q, Qi W, Tang J, He Y. Seasonality of post-traumatic wound and surgery site infection: a retrospective study of orthopedic infections. J Shanghai Jiaotong Univ. 2018;38(1):63–66. doi:10.3969/j.issn.1674-8115.2018.01.011

13. Liou RJ, Earley MJ, Forrester JD. Effect of climate on surgical site infections and anticipated increases in the United States. Sci Rep. 2022;12(1):19698. doi:10.1038/s41598-022-24255-w

14. Ministry of Health, the People’s Republic of China. Identifying criteria for nosocomial infections (Tentative). Natl Med J China. 2001;81(5):314–320. doi:10.3760/j:issn:0376-2491.2001.05.027

15. Deng Y. The hospital statistics and the grades of healing of incision. Chin Med Rec. 2004;5(9):38–39. doi:10.3969/j.issn.1672-2566.2004.09.029

16. Durkin MJ, Dicks KV, Baker AW, et al. Seasonal variation of common surgical site infections: does season matter? Infect Control Hosp Epidemiol. 2015;36(9):1011–1016. doi:10.1017/ice.2015.121

17. Lin Q, Fan R, Wang F, Wang Y, Qin Y, Xiao Y. Meta-analysis of influencing factors of surgical site infection after cesarean section. Chin Evid-Based Nurs. 2019;5(6):487–494. doi:10.12102/j.issn.2095-8668.2019.06.002

18. Zhang M, Xu W, Liu Z, Lan S, Wu Y, Tang Q. Characteristics of pathogenic bacteria and influencing factors of postoperative incision infection in patients undergoing laparoscopic emergency surgery for ectopic pregnancy. Chin J Disinfect. 2020;37(10):768–770. doi:10.11726/j.issn.1001-7658.2020.10.014

19. Yu Y, Xiao T. Study on climatic characteristics of Chengdu Plain Economic Zone. Plateau Mountain Meteorol Res. 2021;41(2):143–149. doi:10.3969/j.issn.1674-2184.2021.02.017

20. Anger H, Durocher J, Dabash R, Winikoff B. How well do postpartum blood loss and common definitions of postpartum hemorrhage correlate with postpartum anemia and fall in hemoglobin? PLoS One. 2019;14(8):e0221216. doi:10.1371/journal.pone.0221216

21. Różańska A, Rosiński J, Jarynowski A, et al. Incidence of surgical site infections in multicenter study-implications for surveillance practice and organization. Int J Environ Res Public Health. 2021;18(10):5374. doi:10.3390/ijerph18105374

22. Ou Y, Chen C, Chen J, Zhou W, Kuang L, Jiang Y. Distribution and drug resistance of pathogens causing surgical site infection in patients after gynecologic operation. West China Med J. 2018;33(3):294–297. doi:10.7507/1002-0179.201801189

Comments (0)

No login
gif