pmc80071664796J Hosp InfectJ Hosp InfectThe Journal of hospital infection0195-67011532-2939299817771136010510.1016/j.jhin.2018.07.001HHSPA2015345ArticleSternal surgical site infection in Egypt following coronary artery bypass graft surgery: incidence and risk factorsAbdouE.a*WestercampM.bGirgisS.cSabryM.dSayyouhO.aTalaatM.aDivision of Global Health Protection, US Centers for Disease Control and Prevention, Cairo, EgyptUS Centers for Disease Control and Prevention, Atlanta, GA, USAFaculty of Medicine, Ain Shams University, Cairo, EgyptAin Shams University Hospitals, Cairo, EgyptCorresponding author. Address: Building no. 3, Street 4, Mokattam, Cairo, Egypt. dr.engyabdou@yahoo.com (E. Abdou)1682024122018067201829820241004456458Sir,

Sternal wound surgical site infection (SSI) following coronary artery bypass graft (CABG) is a serious but preventable surgical complication [1]. Whereas evidence suggests that the burden of sternal SSI is greatest in low- and middle-income settings, the majority of published incidence measure and risk factor assessment is limited to high-income/high-resource settings [2,3]. Here we present 12-month sternal SSI incidence following CABG surgery with associated risk factors in a high-functioning, but resource-limited, healthcare setting. The study was conducted between July 2015 and June 2016 at the 200-bed Cardiovascular Hospital at Ain Shams University Hospitals (CVH-ASUHs). The study population was restricted to adult patients (aged ≥18 years) who underwent a scheduled, non-emergent, CABG procedure. Only the sternal surgical wound was assessed for infection.

Infection control staff prospectively monitored post-CABG patients throughout their inpatient stay for signs suggesting sternal SSI through regular wound assessment and medical record review. Data were collected on perioperative risk factors, patient preparation before surgery, and patients’ clinical outcomes. Active case-finding post-discharge was not done; however, staff did monitor for readmission or relevant clinic visits for up to 90 days.

Case determination was based on diagnosis by the attending surgeon or through case review performed by the hospital infection control team. Infections were categorized as superficial (superficial incision) or deep (deep incisional SSI or organ/ space SSI) guided by the Centers for Disease Control and Prevention National Healthcare Safety Network 2014 definitions. All patients with sternal SSI had clinical specimens obtained for culture. Association with sternal SSI was assessed by Student’s t-test, Mann–Whitney U-test, or Pearson’s χ2-test as appropriate. Logistic regression was used to account for multiple predictors of infection.

Based on hospital policy, patients were instructed to shower the night before surgery using either soap or a povidone-iodine solution provided. Sternal site preparation was done with a povidone-iodine skin preparation immediately prior to incision. Patients received pre-procedure antibiotic prophylaxis with cefazolin, 2 g intravenously, within 60 min of their procedure but there was no standard policy regarding postoperative antibiotic prophylaxis.

During the study period, 552 adult patients underwent a CABG procedure. Most patients were male (75.7%; 418/552), had an American Society of Anesthesiologists score ≥3 (85.0%; 469/552), and a median age of 54 years (range: 19–73). Sternal SSI developed in 45/552 patients (8.2%) with 21/45 (46.7%) classified as superficial and 24/45 (53.3%) as deep. The median duration between surgery and infection symptom onset was six days (range: 2–70 days) and 75.5% (34/45) of infections were identified prior to discharge. Median inpatient length of stay for patients with sternal SSI was 16 days (range: 7–33) with one inpatient death (case fatality rate: 2.1%). Patients with sternal SSI had significantly longer hospitalization but did not have increased inpatient mortality (Table I). Microbial aetiology was identified in 30/45 (66.7%) of sternal wounds. Staphylococcus aureus (31%; 14/30) and Enterobacteriaceae (27%; 8/30) were the most frequent isolates. Meticillin-resistant Staphylococcus aureus was identified in 57.1% (8/14).

In univariate analysis, sternal SSI was associated with preoperative shaving, preoperative showering with soap alone, higher preoperative blood sugar, shorter intubation period, reexploration within 24 h, and longer post-surgical antibiotic prophylaxis. Sternal SSI was not associated with patient sex, smoking, diabetes, body mass index, or any measured intraoperative factors (Table I).

Multivariate analysis revealed longer antibiotic prophylaxis post surgery (odds ratio: 1.08; 95% confidence interval: 1.01–1.04; P < 0.001), preoperative bathing with soap compared to povidone-iodine (3.7; 1.8–7.3; P < 0.001), and preoperative blood sugar >180 mg/dL (2.1; 1.1–4.0; P = 0.03) as independent predictors of sternal SSI infection in this population.

The observed 8.2% overall incidence of sternal SSI is in line with general SSI rates (3–9%) cited from high-resource European settings, but is notably lower than SSI rates published from comparable regions [1,4]. Whereas the lower-than-expected sternal SSI rate observed may be attributed to differences in surveillance methodology, our study was done in the context of an ongoing healthcare-associated infection (HCAI) prevention programme at CVH-ASUH since 2014.

The study has several limitations. Because we relied on data collected through an established surveillance system, possible predictors of infection such as patient comorbidities and details from the intraoperative period were limited. Additionally, facility-wide HCAI prevention and infection prevention and control activities throughout the study period were not well characterized and may have impacted observed associations in unpredictable ways. With these limitations accepted, the observed SSI rate of 8.2% provides a measure of SSI risk in a resource-limited setting with an engaged and active infection prevention control programme.

Acknowledgements

The authors would like to thank the clinical staff and infection control team at the Cardiovascular Hospital at Ain Shams University Hospitals for their collaboration in this study.

Funding sources

This work was supported by the US Agency for International Development (USAID–Egypt), Work Unit 263-T-14-0001. The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the US Government, USAID, the Centers for Disease Control and Prevention, the Egyptian Ministry of Health and Population, or Ain Shams University and Hospitals.

Conflict of interest statement

E.A., M.W., S.A., M.S., O.S., M.T. have no conflicts of interest to declare. E.A., O.S., M.T. are contractors of the US Government and this work was prepared as part of their work.

ReferencesGudbjartssonT, JeppssonA, SjögrenJ, SteingrimssonS, GeirssonA, FribergO, Sternal wound infections following open heart surgery – a review. Scand Cardiovasc J 2016;50:3418.27102109 World Health Organization. Global guidelines for the prevention of surgical site infection. Geneva: WHO; 2016.AllegranziB, Bagheri NejadS, CombescureC, GraafmansW, AttarH, DonaldsonL, Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis. Lancet 2011;377(9761):22841.21146207 Al-ZaruIM, AbuAlRubR, MusallamEA. Economical and clinical impact of surgical site infection following coronary artery bypass graft surgery in north Jordan. Int J Nurs Pract 2011;17:11725.

Univariate association of perioperative factors and diagnosis of a sternal SSI within 90 days of a coronary artery bypass graft procedure – Cardiovascular Hospital at Ain Shams University Hospital, Cairo, Egypt

FactorAll patientsSSINo SSIOR (95% CI)P-value
Total no. of patients552 (100%)45 (100%)507 (100%)
Patient characteristics
 Age (years)a54 (19–73)56 (40–69)54 (19–73)0.07
 Sex (male)418 (75.7%)36 (80.0%)382 (75.3%)1.3 (0.6–2.7%)0.50
 History of smoking (ever)379 (68.7%)33 (73.3%)346 (68.2%)1.1 (0.6–2.3%)0.70
 Diabetes (yes)276 (50.0%)27 (60.0%)249 (49.1%)1.4 (0.7–2.6%)0.30
 Body mass index (kg/m2)a30.4 (19.1–50.7)31.2 (21.5–47.9)30.4 (19.1–50.7)0.20
Preoperative factors
 Hair removal
  Shaved241 (43.6%)27 (60.0%)214 (42.2%)2.1 (1.1–3.9)0.02
  Clipped300 (54.3%)17 (37.8%)283 (55.8%)Reference
 Hair removal
  Surgical ward171 (31.0%)20 (44.4%)151 (29.8%)1.8 (0.9–3.4)0.06
  Operating room373 (67.6%)25 (55.5%)348 (68.6%)Reference
 Preoperative shower
  Soap125 (22.6%)21 (46.7%)104 (20.5%)3.4 (1.8–6.4)<0.001
  Povidone iodine409 (74.1%)23 (51.1%)386 (76.1%)Reference
 ASA score ≥3469 (85.0%)44 (97.8%)425 (83.8%)7.7 (1.1–56.5)<0.01
 Haemoglobin (g/dL)a13 (5–16)13 (9–16)13 (5–16)0.70
 Serum creatinine (mg/dL)a1 (1–9)1 (1–9)1 (1–9)0.4
 Left ventricular ejection fractiona60 (19–80)59 (22–74)60 (19–80)0.17
 Preoperative blood sugar (mg/dL)a155.6 (59–579)156 (60–466)128 (59–579)0.008
 Preoperative hospital stay (days)a3 (0–43)2 (0–43)3 (0–34)0.6
Intraoperative factors
 Surgery time (min)a315 (195–470)315 (250–390)315 (195–470)0.7
 Cardiopulmonary bypass time (min)a96 (60–150)100 (60–135)95 (36–150)0.9
 Aortic cross-clamp time (min)a60 (37–110)60 (36–105)60 (37–110)0.8
 Blood products
  RBCs (units)a2 (1–4)2 (1–4)2 (1 –4)0.16
  Plasma (units)a2 (1–3)2 (1–3)2 (1 –3)0.40
Postoperative factors
 Day 1 blood sugar (mg/dL)a193.2 (85–400)200 (85–350)192 (89–400)0.06
 Intubation period (days)a1 (1–37)1 (1 –27)1 (1–37)0.04
 No. of drains placeda1 (1–4)1 (1–3)1 (1–4)0.3
 Re-exploration (within 24 h)43 (7.8%)8 (17.8%)35 (7.0%)2.7 (1.2–6.3)0.02
Antimicrobial prophylaxis agents
 First-generation cephalosporin459 (83.1%)36 (80.0%)423 (83.4%)0.8 (0.4–1.7)0.5
 Third-generation cephalosporin60 (10.9%)12 (26.7%)48 (9.5%)3.5 (1.7–7.2)<0.001
 Quinolone203 (36.8%)23 (51.1%)180 (35.5%)1.9 (1.1–3.5)0.04
 Carbapenem72 (13.0%)13 (28.9%)59 (11.6%)3.1 (1.5–6.2)0.01
 Vancomycin287 (52.0%)25 (55.6%)262 (51.7%)1.2 (0.6–2.1)0.6
Antimicrobial prophylaxis
 Duration daysa9 (2–39)11 (2–39)8 (2–38)0.004
Outcomes
 Inpatient daysa13 (5–33)16 (7–33)12 (5–17)0.009
 Deaths491 (2.1%)41 (8.5%)0.1

SSI, surgical site infection; OR, odds ratio; CI, confidence interval; ASA, American Society of Anesthesiologists; RBCs, red blood cells.

Median (range).