Methods: This was a prospective comparative study of 577 patients who underwent cardiac surgery with (CPB) was conducted at cardiac surgery department of Punjab Institute of cardiology, Lahore from 1st March 2012 to 31st March 2017. Consecutive patients undergoing elective and isolated CABG, both genders age ≥20 years, with normal ejection fraction were included in the study
Results: Out of 577 patients of which 166(87.83%) were male while 23(12.16%) were female. The mean age of the patient was 53.23 ± 8.43. Incidence of post-operative wound infection in patients underwent coronary artery bypass grafting (CPB) was 73(12.65%). Common co morbid conditions were hypertension 50%, diabetes mellitus (43.5%), smoking (31.1%), hyperlipidemia (20.3%), prior of stoke (12.2%), Prior Surgery (6.8%) and prior renal failure (4.1%), mean CPB time (61.69 ± 32.27), ICU stay 976.03 ± 31.93), mean Cross clamp time(25.27 ± 19.17mg/dl) and Hospital stay (10.16 ± 5.6 day) were more in WI group. Themortality was found to be high in WI group (23.3%). Logistic regression showed that significantly predicted of the post-operative WI were elder age,diabetes mellitus, smoking, family history of IHD, hyperlipidemia, cardiopulmonary bypass time, ICU stay, hospital stay.
Conclusion: We can conclude that wound infected patients are at significantly greater risk of incidence, morbidity and mortality after cardiac surgery.
Keywords: Coronary Artery Bypass Graft; Coronary artery disease; Ischemic heart disease; Wound infection; Nork-Marash Medical Center; Cardiopulmonary bypass;
Wound infection is life- threatening complication associated with an increased risk of short and long term morbidity and mortality in patient undergoing (CABG) surgery [4,5]. According to the Nork-Marash Medical Center (NMMC), the new cases of wound infection are 7.4% in patients after CABG, a further study found to be range from 1-10% [3, 5]. Which cause mortality of nearly 25%. Furthermore sternal wound infection 25% and deep sternal wound infection 33% with a composite morbidity rate of 13.4% were diagnosed between 30 to 90 days after surgery [6, 7, 8].
Several studies have suggested that important predictive risk factors may be associated with more likelihood of developing wound infection [5, 9, 10]. Pre and intra-operative predictors are significantly associated withthe increase risk of wound infection. Although in the advance revolution of cardiac surgery the optimization/development of sternal wound infectionsisless decreased [11].
The frequency of Mortality in both WI and non-WI groups in developing countries may vary from the ones mentioned in international literature as there exist differences. So we want to conduct a study to identify the predictors of WI in hospitalized elderly patients who underwent CABG that might help us to do some invasive treatment to reduce its consequences and minimization of hospital stay and cost and mortality rate of CABG.
Data was collected retrospectively. All operations were performed by same surgeon. Routine CABG was done under mild hypothermia (28°C) with both ante grade and retrograde blood cardioplegia. No topical epicardial cooling is used at our institution.
Myocardial protection was provided by intermittent coronary perfusion with tapeid blood cardioplegia and continuous topical hypothermia with cold saline. Distal anastomoses were performed during a period of aortic cross-clamping; complete revascularization (e.g. bypass of every vessel with > 50% stenosis) was attempted in all patients using at least one internal mammary artery as a graft conduit. Proximal venous anastomoses were constructed while the patient was rewarmed. The sternotomy wound was then closed in layers and patients were shifted to the Intensive Care Unit. Intra aortic balloon counter pulsation was used when required. All patients were subjected to postoperative echocardiography to record LV function.
Wound infection was defined as, Superficial Sternal (including sternal SSI, leg SSI, double SSI and both sternum and leg)Wound Infection (SSWI) (an infection involving only skin or subcutaneous tissue at the incision site) while deep sternal wound infection (DSWI) was defined using the guidelines of the Centers for Disease Control and Prevention, i.e., an infection involving tissue spaces beneath the subcutaneous tissue, and patients meeting at least one of the following criteria were diagnosed as having Deep Sternal Wound Infection (DSWI): (1) an organism was isolated from culture of mediastinal tissue or fluid; (2) evidence of mediastinitis was seen during operation; or (3) chest pain, sternal instability, or fever (>38°C) was present.12 In-hospital mortality (defined as any death occurring within 30 days of operation)
Hypertension was found to be slightly similar co morbid conditions in patients who developed WI was 50%, as compare to
Variable |
Groups |
P-value |
||
With wound infection |
Without wound infection |
|
||
Gender |
Male |
63(86.3%) |
445(88.3%) |
0.624 |
Female |
10(13.7%) |
59(11.7%) |
||
Age |
54.23 ± 8.43 |
51.57 ± 7.06 |
0.0235 |
|
Weight |
75.29 ± 16.29 |
74.29 ± 11.9 |
0.760 |
|
Height |
161.30 ± 23.3 |
167.30 ± 11.8 |
0.026 |
|
Hypertension |
36(49.3%) |
252(50%) |
0.913 |
|
Diabetes |
30(41%) |
144(28.54%) |
0.0411# |
|
Smoking |
24(32.9%) |
108(21.42%) |
0.0462# |
|
Prior history of stoke |
5(6.84%) |
5(0.99%) |
0.003* |
|
Hyperlipidemia |
17(23.3%) |
68(13.5%) |
0.027# |
|
Prior history of Renal Failure |
5(6.8%) |
6(1.2%) |
0.001* |
Mean CPB time and mean pre-operative creatinine and mean per EF(%) were significantly associated with WI group (63.76 ± 34.93vs. 78.29 ± 32.03) and (1.3 ± 0.27vs. 1.0 ± 0.48) and (42.33 ± 9.3% vs. 49.63 ± 10.7%) as compare to non-WI group. Mean Cross clamp time level and Hospital staywere insignificantly associated with WI group (20.88 ± 12.11vs. 18.57 ± 9.03) mg/dl and (11.37 ± 7.91 vs. 12.08 ± 5.79). The trend towards mortality was greater in WI group as compare to non-WI group (23.3% vs. 6.1%).
Logistic regression reported that of preoperative risk factors elder age (OR: 1.021,CI 95%:0.987-1.057), height (OR:1.021,CI 95%:1.003-1.036), diabetes mellitus (OR:1.21,CI 95%:0.647- 2.294), smoking (OR:1.051,CI 95%:0.533-2.073), prior history of stoke (OR:1.03,CI 95%:0.539-2.073), hyperlipidemia (OR:1.82,CI 95%:0.858-3.889), prior history of renal failure (OR:1.773,CI 95%:0.236-3.299), cardiopulmonary bypass time(OR:1.007,CI 95%:0.956 -1.060), pre EF (%) (OR: 1.019, CI 95%:0.951-1.092) and Pre Blood serum creatinine (OR: 1.785, CI 95%:0.523 -1.179) were significantly predicted post-operative WI. [Table 2, 3]
Variables |
Groups |
P-value |
||||
With wound infection n(73) |
With wound infection n(504) |
|||||
Pre EF |
42.33 ± 9.3 |
49.63 ± 10.7 |
0.001 |
|||
CPB time |
63.76 ± 34.93 |
78.29 ± 32.03 |
0.006 |
|||
Cross clamp time |
20.88 ± 12.11 |
18.57 ± 9.03 |
0.143 |
|||
Pre-operative Creatinine |
1.3 ± 0.27 |
1.0 ± 0.48 |
0.011 |
|||
Hospital stay |
11.37 ± 7.91 |
12.08 ± 5.79 |
0.371 |
|||
Mortality |
17(23.3%) |
7(6.1%) |
0.001 |
Variables |
B |
Wald |
Sig. |
Odds ratio |
95.0% C.I.for EXP(B) |
|
Lower |
Upper |
|||||
Age |
0.021 |
1.447 |
0.229 |
1.021 |
0.987 |
1.057 |
Gender |
-0.425 |
0.775 |
0.379 |
0.654 |
0.254 |
1.685 |
Height |
0.02 |
5.57 |
0.018 |
1.02 |
1.003 |
1.036 |
Weight |
-0.014 |
1.527 |
0.217 |
0.986 |
0.963 |
1.008 |
Diabetes mellitus |
0.197 |
0.374 |
0.541 |
1.218 |
0.647 |
2.294 |
Hypertention |
-0.083 |
0.068 |
0.795 |
0.92 |
0.492 |
1.721 |
Smoker |
0.05 |
0.021 |
0.885 |
1.051 |
0.533 |
2.073 |
Prior history of stoke |
0.029 |
0.008 |
0.93 |
1.03 |
0.539 |
1.965 |
Hyperlipidemia |
0.602 |
2.439 |
0.118 |
1.826 |
0.858 |
3.889 |
Prior history of Renal Failure |
0.573 |
0.311 |
0.577 |
1.773 |
0.236 |
3.299 |
Pre EF |
0.019 |
0.28 |
0.597 |
1.019 |
0.951 |
1.092 |
Cross clamp time |
-0.019 |
2.222 |
0.136 |
0.981 |
0.956 |
1.006 |
Pre Blood serum creatinine |
-0.241 |
1.36 |
0.244 |
1.785 |
0.523 |
1.179 |
cardiopulmonary bypass time |
0.007 |
0.066 |
0.797 |
1.007 |
0.956 |
1.06 |
Hospital stay |
-0.083 |
10.432 |
0.001 |
0.92 |
0.875 |
0.968 |
Constant |
-2.438 |
0.65 |
0.42 |
0.087 |
Our results showed that male group of WI patients were higher indicating that men are at increased risk of post-operative WI (89.2% vs. 10.2%). McConkey SJ [12], Borger MA [9] and Stahle E, et al. [10] found that WI was more in male than female (84.4% vs. 15.6%). Omran AS, et al. [14] established that WI is more prevalent in male patients compared to female patients (74.5% vs. 25.5%). Another study by Hoseini MJ, et al. [17] found that WI was more in male than female (99.8% vs. 0.2%), due to bias in selection of female patient.
The present study examined that the average age of the patient who developed WI underwent CABG was 54.23 ± 8.43 years. Sajja LR, et al. [18] found that average age of the patient was 57.8 ± 7.43 years. Omran AS, et al. [14] demonstrated that the average age of the patient was 58.5 ± 9.7 years. Ridderstolpe L, et al. [5] reported that average age of the patient was 65.4 ± 10.5 years. In contrast with these studied present study showed dissimilar result may be due to small sample size. Magedanz EH [22] and Discigil G, et al. [23] reported that age was anindependent predictors of WI as (61 ± 10.1 years; OR = 2.1).
Present study reported thatpost-operative WI was independently associated with a higher 30-day mortality rate (23.3% vs. 6.1%). Kubota H, et al. [19] reported that postoperative WI was independently associated with a higher 30-day mortality rate (25.8% vs. 9.7%). Omran AS et al. [14] determined in-hospital mortality was found to be high in WI group as compare to non-WI group as (14% vs. 1.1%) Ridderstolpe L, et al. [5] established that 30 day mortality rate was higher for all patients without WI group as compared to WI group (2.7%. vs. 0.7%). Lu JC, et al. [21] established that 30 day mortality rate was higher for all patients without WI group as compared to WI group (25.5%. vs. 2.5%).
Present study reported that diabetes is one of the major confounder for wound infection after CABG as diabetes mellitus has been attributed to the impairment of neutrophil chemotaxis, phagocytosis, adherence plus the glycosylation of collagen matrix proteins - all of which lead to weakened antibacterial defenses and delayed wound healing.
Borger MA, et al. [9] scrutinized that Independent predictors of WI were diabetes mellitus (OR: 2.6) and male sex (OR: 2.2).
Ridderstolpe L, et al. [5] examined that independent predictors of WI were diabetes mellitus age (OR: 1.90), smoking (OR: 1.39), prolonged ICU stay (OR: 1.004) Peivandi AA, et al. [20] found that independent predictors of WI werediabetes (OR = 4.130), smoking history (OR = 2.996), old age (OR = 1.108) Omran AS, et al. [14] reported that independent risk factors of WI werehypertension (OR = 10.7), and female gender (OR = 2.7). In contrast with the previous literature present study reported that the independent variables for predicting wound infection were elder age (OR:1.514), diabetes mellitus (OR:1.94), smoking (OR:4.91), family history of IHD(OR:5.42), hyperlipidemia (OR:9.97), cardiopulmonary bypass time(OR:1.02), ICU stay (OR:7.41) and hospital stay (OR:1.15). Recent study indicated changed outcomes due to predictors recognized in single center may be differing in another institute, mainly due to changes in protocol of care.
To avoid versus conditions after CABG operation due to infection, an early and aggressive management is needed for defining superficial and deep sternal infections. The most appropriate use of date of current research is timely feedback to concerned person as this lead to increased awareness and knowledge about patients.
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