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Association between HbA1c and deep sternal wound infection after coronary artery bypass: a systematic review and meta-analysis

Abstract

Background

Deep sternal wound infection (DSWI) constitutes a serious complication after coronary artery bypass grafting (CABG) surgery. The aim of this study is to evaluate the dose-response relationship between glycated hemoglobin (HbA1c) level and the risk of DSWI after CABG.

Methods

PubMed, Scopus, and Cochrane Library databases were searched to identify potentially relevant articles. According to rigorous inclusion and exclusion criteria, fourteen studies including 15,570 patients were enrolled in our meta-analysis. Odds ratio (OR) with 95% confidence intervals (CIs) was used as the summary statistic. The robust-error meta-regression model was used to synthesize the dose-response relationship.

Results

Our meta-analysis shows that among patients undergoing CABG, preoperative elevated HbA1c was associated with the risk of developing DSWI (OR = 2.67, 95% CI 2.00–3.58) but with low prognostic accuracy (diagnostic OR = 2.70, 95% CI 1.96–3.73; area under the curve = 0.66, 95% CI 0.62–0.70) for predicting postoperative DSWI. Subgroup analyses showed the relationship became nonsignificant in patients without diabetes and studies adopting lower HbA1c thresholds. Dose-response analysis showed a significant nonlinear (p = 0.03) relationship between HbA1c and DSWI, with a significantly increased risk of DSWI when HbA1c was > 5.7%.

Conclusions

An elevated HbA1c level of > 5.7% was related to a higher risk of developing DSWI after CABG, and the risk increased as the HbA1c level grew. The association between HbA1c and DSWI was nonsignificant among nondiabetic patients while significant among diabetic patients.

Peer Review reports

Background

Deep sternal wound infection (DSWI) is a severe complication after CABG surgery, which has potentially devastating consequences. DSWI may lead to life-threatening complications with an increase in mortality, morbidity, and healthcare cost [1,2,3]. Therefore, it is necessary to identify the risk factors for developing DSWI.

After CABG, diabetes mellitus is associated with an increased risk of infection [4], and glycemic control plays a vital role in the immune response of patients with diabetes [5]. Abnormal blood glucose level might be an essential predictor of the development of DSWI in patients undergoing CABG. However, fasting glucose is prone to be unstable due to various factors [6], the long-term state of blood glucose level could better reflect glycemic control status. HbA1c is used to assess long-term glycemic control, which indicates the average long-term glucose metabolic state during a period of 2 to 3 months before surgery [7]. Practically, it is important to assess the effectiveness of elevated HbA1c levels preoperatively for the prediction of DSWI development after CABG, especially in patients diagnosed with diabetes.

Several studies have explored the relationship between elevated HbA1c levels and the risk of DSWI. The 2011 ACCF/AHA Guideline for CABG recommends the use of continuous intravenous insulin to achieve and maintain an early postoperative blood glucose concentration of ≤ 180 mg/dL as a measure to reduce the incidence of DSWI [8]. One study involving 3,555 patients undergoing CABG treated HbA1c levels as a continuous variable and, through multivariable logistic regression, found a significant association between elevated HbA1c levels and an increased risk of DSWI [9]. Another retrospective study used multivariate analysis to indicate that an HbA1c level of 6.5% or higher in patients undergoing CABG was associated with a significant increase in the risk of DSWI [10]. However, given the variations in patient demographics, HbA1c levels, and study design, a comprehensive systematic review on the topic is warranted.

The primary objective of this study was to evaluate the predictive value of elevated preoperative HbA1c levels for developing DSWI (including mediastinitis) in patients undergoing CABG. We also performed analysis across different subgroups of patients. In addition, we conducted a dose-response meta-analysis to investigate the association between HbA1c levels and DSWI.

Methods

Search strategy and study selection

We searched published studies in PubMed, Scopus, and Cochrane Library from inception to February 2023, using the following search terms: (“HgbA1C” OR “HbA1c” OR “glycosylated hemoglobin” OR “glycated hemoglobin” OR “hemoglobin A1c”) AND (“Coronary Bypass Graft” OR “coronary artery bypass grafting” OR “coronary artery bypass surgery” OR “CABG”). DSWI-related terms were not used in our search in case missing studies that assessed the relationship between elevated HbA1c and many adverse outcomes, not just DSWI.

The inclusion criteria were as follows: (1) observational cohort or case-control studies, (2) studies reported the association between preoperative HbA1c levels and DSWI, and (3) studies with sufficient data to evaluate OR with 95% confidence intervals. For studies with overlapping data, our meta-analysis only included the study with more complete surgical data.

Data extraction and quality assessment

Using a standardized data collection form, we extracted the following data from each study: first author, publication year, country, study design, length of follow-up, sample size, baseline characteristics, and HbA1c threshold. We adopted the Newcastle–Ottawa scale (NOS)—a commonly used tool to assess case-control studies and cohort studies with a total score of 9 stars [11]—to evaluate the quality of each study. We considered studies with a score greater than 6 to be of high quality.

Statistical analysis

In our pooled analysis, we aimed to investigate the association between elevated HbA1c and DSWI in patients undergoing CABG and evaluate the accuracy of elevated HbA1c in predicting DSWI. We followed the common practice in the literature and defined elevated HbA1c as being above a specified threshold. For a study with more than one threshold, we chose either 6.5% or 7.0% as the threshold, as they were most widely reported in the literature, details would be explained later. The ORs with 95% CIs were used to evaluate the association, they were either directly extracted or calculated from reported DSWI incidence. In addition, we conducted a diagnostic meta-analysis to estimate the diagnostic odds ratio (DOR). The area under the receiver-operating characteristic curve (AUC) was used to assess the discriminative power of elevated HbA1c for predicting DSWI.

We further performed subgroup analyses based on multiple variables, including study design, sample size, study period, patient type, and threshold level. Next, we attempted to establish a dose-response relationship between HbA1c and DSWI. Because most of the included studies reported only two-category data, the robust-error meta-regression model was used to synthesize the dose-response relationship across available studies [12]. A nonlinear curve was fitted by the restricted cubic spline in the regression [13], and nonlinearity was tested using the Wald test. The assigned values were selected in the following order: (1) the mean value in each category of HbA1c level, (2) the midpoint of the upper and lower boundaries in each category of HbA1c level, and (3) the reported boundary multiplied or divided by 1.25 [14].

We analyzed the heterogeneity among the included studies using Cochran’s Q test and the \({I}^{2}\) test. We considered heterogeneity to be significant if p < 0.1 for the Q statistic. An \({I}^{2}\) greater than 50% indicates substantial heterogeneity, in which case a random-effects model would be used [15]. Otherwise, we used a fixed-effects model. The source of heterogeneity was explored via sensitivity analyses. Moreover, we used Begg’s test to evaluate publication bias. A p value < 0.05 was considered to be statistically significant. All p values were two sided. All statistical analyses were performed using Stata statistical software (version 17.0).

Results

Search results

The flowchart in Fig. 1 illustrates the literature search and selection process. A total of 619 published articles were preliminarily identified (168 from PubMed, 117 from the Cochrane Library, and 334 from Scopus). After deleting duplicate reports, we screened 435 articles that potentially met the requirements. 392 of 435 were irrelevant and excluded. We further reviewed the remaining 43 potential studies, and 14 met our inclusion criteria.

Fig. 1
figure 1

Flow diagram of study selection process

Description of included studies

Table 1 summarizes the characteristics of the 14 included studies. A total of 15,570 subjects were included in our analysis. The number of participants in each study ranged from 80 to 4,678, and the proportion of males ranged from 70.98 to 90.94%. The average age of patients ranged from 57.3 to 68 years, and their average body mass index (BMI) varied between 23.8 and 31. Among patients with normal HbA1c, the incidence of DSWI ranged from 0 to 2.73%, and in patients with elevated HbA1c, it ranged from 0 to 6.25%. The cutoff points for preoperative HbA1c levels ranged from 5.0 to 9.0%: 9 of the 14 studies used either 6.5% or 7.0% as the only threshold, and one used 5.9% as the only threshold; the other four studies used two thresholds, one of which was either 6.5% or 7.0%. For the four studies with two thresholds, we chose 6.5% or 7.0% (whichever was one of the two thresholds) as the only threshold and consolidated the results from three HbA1c categories into two categories. 5 of the 14 studies only included patients with diabetes, and the rest included both diabetic and nondiabetic patients. Of the selected studies, the NOS scores were greater than 6 in all but two of the included studies (with scores of 5). In general, the quality of the studies was considered satisfactory. To mitigate the confounding effect of urgent procedures on postoperative outcomes, and considering that preoperative HbA1c data is typically available only before elective surgeries, only three studies included emergency surgical patients [16,17,18]. The proportion of emergency patients in these studies ranged from 1.4 to 13.1%.

Table 1 Characteristics of included studies in the meta-analysis

Elevated HbA1c and DSWI

The results shown in Fig. 2 revealed a significant correlation between preoperative HbA1c levels and the risk of developing DSWI (OR = 2.67, 95% CI 2.00–3.58, p = 0.00), with low heterogeneity (I2 = 0.00%; p = 0.54). In the sensitivity analysis conducted by omitting one study at a time, there was no significant change in the pooled results. No publication bias (p = 0.51) was detected for the primary analyses. Diagnostic test meta-analysis demonstrated that the evaluated HbA1c has a prognostic value of DSWI (DOR = 2.70, 95% CI 1.96–3.73) but with low discriminative power (AUC = 0.66, 95% CI 0.62–0.70). Therefore, elevated HbA1c was a risk factor for DSWI after CABG but had poor diagnostic performance for predicting DSWI.

Fig. 2
figure 2

Forest plot of included studies comparing risk of postoperative DSWI between patients with poor and good glucose control (overall OR and 95% CI represented by diamond data marker)

Subgroup analysis

Subgroup analysis (Fig. 3) indicated that the significance of the primary result was not altered by study design (prospective study: OR = 3.00, 95% CI 1.92–4.67; retrospective study: OR = 2.49, 95% CI 1.71–3.64) or study period (before 2010: OR = 2.73, 95% CI 1.55–4.79; 2010 until present: OR = 2.44, 95% CI 1.65–3.63). However, in the pooled analysis, the association became nonsignificant among patients without diabetes (patients without diabetes: OR = 1.29, 95% CI 0.07–22.78; patients with diabetes: OR = 3.20, 95% CI 1.72–5.97; mixed: OR = 2.31, 95% CI 1.63–3.27), and studies adopting a lower HbA1c threshold (6.0%: OR = 0.74, 95% CI 0.15–3.69; 6.5% OR = 2.80, 95% CI 1.63–4.80; 7.0% OR = 2.80, 95% CI 1.97–3.99). In addition, we noticed that elevated HbA1c was more strongly associated with the risk of DSWI in patients with diabetes and among studies adopting HbA1c 7.0% as the threshold.

Fig. 3
figure 3

Subgroup analysis: OR and 95% CI for the outcome

Dose-response association between HbA1c levels and DSWI

The dose-response analyses (Fig. 4a) revealed a significant nonlinear association (p = 0.03) between HbA1c level and risk of DSWI. The curve showed that an HbA1c greater than 5.7% significantly increased the risk of DSWI. As the HbA1c level increased, the risk of DSWI also gradually increased, and when HbA1c was between 5.7% and 7.0%, the risk of DSWI increased faster than other levels. Because the previous subgroup analysis showed no significant association between HbA1c and DSWI in patients without diabetes, we repeated the dose-response analysis in patients diagnosed with diabetes. The results revealed a linear association between HbA1c level and risks of DSWI in subjects with diabetes (Fig. 4b), and an HbA1c greater than 5.8% significantly increased the risk of DSWI. Each percentage point increase in HbA1c was associated with an increase of 1.42 in the OR of DSWI (95% CI 1.29–1.57, p = 0.00).

Fig. 4
figure 4

Dose-response analysis curve: relationship between HbA1c level and risk of DSWI. 4a. All studies. 4b. Patients diagnosed with DM

Discussion

We conducted this systematic review and meta-analysis to assess the predictive value of the preoperative HbA1c level for developing DSWI in patients undergoing CABG, taking into consideration different confounding factors. We analyzed 14 studies on HbA1c levels and DSWI after CABG in our meta-analysis, with a total of 15,570 patients. The results demonstrated that elevated HbA1c level was associated with DSWI risk after CABG. In addition, we found that the association between HbA1c and DSWI was nonsignificant in patients without diabetes and studies that adopted lower HbA1c thresholds. In addition, the association was stronger among patients with diabetes. The dose-response analyses suggested that patients with preoperative HbA1c levels greater than 5.7% were more likely to develop DSWI.

Hyperglycemia impairs the immune system, thereby increasing the risk of infection and impeding normal wound healing [16]. The findings of related studies have been inconsistent [19,20,21]. Such heterogeneity could stem from multiple confounders, including patient demographics, HbA1c levels, and study design. Some studies have focused on the relationship between elevated preoperative HbA1c and diabetes, but it remains unclear whether the same relationship exists for nondiabetic patients. Additionally, many studies treated HbA1c levels as a dichotomous variable, but the thresholds for HbA1c varied across different studies [22,23,24]. Studies treating HbA1c as a continuous variable found that a 1% increase in preoperative HbA1c level was associated with increased complications [9, 25]. Our results demonstrated that elevated HbA1c is a risk factor for adverse outcomes after CABG. A meta-analysis [26] published in 2019 also established that patients with elevated HbA1c levels greater than 6–7% had an increased risk of developing sternal wound infection after adult cardiac surgery. Nevertheless, we unveil the insignificant relationship between HbA1c levels and DSWI risk in nondiabetic patients. Highlighting the differences between diabetic and nondiabetic patients is crucial for informing clinical decision-making. Moreover, our dose-response analysis indicated a significant nonlinear relationship between HbA1c levels and DSWI risk. The diagnostic test meta-analysis showed that a single indicator of elevated HbA1c was of little informational value in predicting DSWI (DOR = 2.70, 95% CI 1.96–3.73; AUC = 0.66, 95% CI 0.62–0.70). Given that many CABG surgeries are urgent [27], when making decisions regarding the timing of CABG based on the presumed level of glycemic control, other factors that may influence postoperative outcomes should also be taken into account.

When we performed the meta-analysis among different subgroups, we found that the association between elevated HbA1c and DSWI was not altered by study design and study period. However, the positive association in the pooled analysis became nonsignificant in small-sample studies and in studies adopting lower HbA1c thresholds. A plausible reason for this finding was that the incidence of DSWI was very low, and the incidence of DSWI in some groups was even 0. Thus, there was not enough statistical power in the small-sample studies to demonstrate a statistically significant association between elevated HbA1c and risk of DSWI [28]. Similarly, low-threshold values led to subsamples with smaller sizes, resulting in a nonsignificant association between elevation of HbA1c and DSWI.

In addition, we also found that elevated HbA1c was not a risk factor for postoperative DSWI for among patients without diabetes undergoing CABG. The association between HbA1c and DSWI was stronger in patients with diabetes than in patients with a mixture of diabetes and nondiabetes. However, we should interpret these results with caution. Elevated HbA1c was typical among patients undergoing CABG surgery, regardless of their history of diabetes [18, 29], but only a limited number of studies focused only on patients without diabetes. In our included studies, only one study provided sufficient data to perform the analysis on patients without diabetes. Although our results indicated no significant relationship between elevated HbA1c and DSWI in patients without diabetes, further studies with large sample sizes and different thresholds are expected to confirm the findings.

Furthermore, our results suggested that increased HbA1c levels were associated with an increased risk of DSWI using the dose-response method. We found a significant nonlinear association (p = 0.03) between HbA1c level and the risk of DSWI. The curve showed that patients with preoperative HbA1c levels greater than 5.7% were more likely to develop DSWI, and the risk increased as the HbA1c level increased. The curve also suggested that when the HbA1c level was between 5.7% and 7.0%, the risk of DSWI increased at a faster rate. This might be attributed to the treatment bias in the retrospective studies. Because a patient with an HbA1c level of 7.0% or higher was typically considered risky and thus might receive more attention or intervention, the rate of increase in the incidence of DSWI would consequently drop as a result of more active management. These results suggest that for patients with preoperative HbA1c > 5.7%, especially diabetic patients, extra care is needed to prevent DSWI after CABG.

Our study had several limitations. First, the included studies differed in country, follow-up times, internal mammary artery type, definitions of DSWI, rates of diabetes, obesity, and other comorbidities, which could result in assessment bias. Second, in the dose-response analysis, we used the assigned values of the categorical HbA1c data, which provided only an approximation of this dose-specific relationship. Third, because of the limited number of included studies, not every subgroup analysis was performed adequately.

Conclusions

Our meta-analysis demonstrated that elevated preoperative HbA1c level was a risk factor for DSWI after CABG, but it showed poor prognostic accuracy in predicting postoperative DSWI. Subgroup analyses indicated that the association became nonsignificant in small-sample studies, patients without diabetes, and studies that adopted lower HbA1c thresholds. The association between HbA1c and DSWI was stronger in patients with diabetes. In addition, there was a significant nonlinear association between HbA1c level and DSWI risk. Patients with preoperative HbA1c levels greater than 5.7% might be more susceptible to DSWI, and the risk increased at a faster rate when HbA1c levels were between 5.7% and 7.0%.

Data availability

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

Abbreviations

AUC:

Area under the receiver-operating characteristic curve

CABG:

Coronary artery bypass grafting

CI:

Confidence interval

DOR:

Diagnostic odds ratio

DSWI:

Deep sternal wound infection

HbA1c:

Hemoglobin A1c

NOS:

Newcastle–Ottawa scale

OR:

Odds ratio

References

  1. Vrancic JM, Piccinini F, Camporrotondo M, Espinoza JC, Camou JI, Nacinovich F, et al. Bilateral internal thoracic artery grafting increases mediastinitis: myth or fact? Ann Thorac Surg. 2017;103(3):834–9.

    Article  PubMed  Google Scholar 

  2. Kubota H, Miyata H, Motomura N, Ono M, Takamoto S, Harii K, et al. Deep sternal wound infection after cardiac surgery. J Cardiothorac Surg. 2013;8:132.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Risnes I, Abdelnoor M, Almdahl SM, Svennevig JL. Mediastinitis after coronary artery bypass grafting risk factors and long-term survival. Ann Thorac Surg. 2010;89:1502–9.

    Article  PubMed  Google Scholar 

  4. Furui M, Kong PK, Moorthy PSK, et al. Risk factors for Sternal Wound Infection after coronary artery bypass grafting in patients with and without Diabetes[J]. Int Heart J. 2022;63(3):426–32.

    Article  CAS  PubMed  Google Scholar 

  5. Iannantuoni F, Diaz-Morales N, Escribano-Lopez I, Sola E, Roldan-Torres I, Apostolova N, et al. Does glycemic control modulate the impairment of nlrp3 inflammasome activation in type 2 diabetes? Antioxid Redox Signal. 2019;30:232–40.

    Article  CAS  PubMed  Google Scholar 

  6. Weykamp C. Hba1c: a review of analytical and clinical aspects. Ann Lab Med. 2013;33:393–400.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Škrha J, Šoupal J, Prázný M. Glucose variability, hba1c and microvascular complications. Rev Endocr Metab Disord. 2016;17:103–10.

    Article  PubMed  Google Scholar 

  8. Writing Committee Members, et al. 2011 ACCF/AHA guideline for coronary artery bypass graft surgery: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice guidelines. Circulation. 2011;124(23):e652–e735.

    Google Scholar 

  9. Nicolini F, Santarpino G, Gatti G, Reichart D, Onorati F, Faggian G, et al. Utility of glycated hemoglobin screening in patients undergoing elective coronary artery surgery: prospective, cohort study from the e-cabg registry. Int J Surg. 2018;53:354–59.

    Article  PubMed  Google Scholar 

  10. Narayan P, Kshirsagar SN, Mandal CK, Ghorai PA, Rao YM, Das D, et al. Preoperative glycosylated hemoglobin: a risk factor for patients undergoing coronary artery bypass. Ann Thorac Surg. 2017;104:606–12.

    Article  PubMed  Google Scholar 

  11. Stang A. Critical evaluation of the newcastle-ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25:603–5.

    Article  PubMed  Google Scholar 

  12. Thompson SG, Systematic, Review. Why sources of heterogeneity in meta-analysis should be investigated. BMJ. 1994;309:1351–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Xu C, Doi SAR. The robust error meta-regression method for dose-response meta-analysis. Int J Evid Based Healthc. 2018;16:138–44.

    Article  PubMed  Google Scholar 

  14. Durrleman S, Simon R. Flexible regression models with cubic splines. Stat Med. 1989;8:551–61.

    Article  CAS  PubMed  Google Scholar 

  15. Xu W, Tan CC, Zou JJ, Cao XP, Tan L. Sleep problems and risk of all-cause cognitive decline or dementia: an updated systematic review and meta-analysis. J Neurol Neurosurg Psychiatry. 2020;91:236–44.

    Article  PubMed  Google Scholar 

  16. Blondet JJ, Beilman GJ. Glycemic control and prevention of perioperative infection. Curr Opin Crit Care. 2007;13:421–7.

    Article  PubMed  Google Scholar 

  17. Zheng J, Cheng J, Wang T, Zhang Q, Xiao X. Does hba1c level have clinical implications in diabetic patients undergoing coronary artery bypass grafting? A systematic review and meta-analysis. Int J Endocrinol. 2017;2017:1537213.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Engoren M, Habib RH, Zacharias A, Schwann TA, Riordan CJ, Durham SJ, et al. The prevalence of elevated hemoglobin a1c in patients undergoing coronary artery bypass surgery. J Cardiothorac Surg. 2008;3:63.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Göksedef D, Ömeroğlu S, Yalvaç E, Bitargil M, İpek G. Is elevated HbA1c a risk factor for infection after coronary artery bypass grafting surgery. Turk J Thorac Cardiovasc Surg. 2010;18:252–8.

    Google Scholar 

  20. Matsuura K, Imamaki M, Ishida A, Shimura H, Niitsuma Y, Miyazaki M. Off-pump coronary artery bypass grafting for poorly controlled diabetic patients. Ann Thorac Cardiovasc Surg. 2009;15:18–22.

    PubMed  Google Scholar 

  21. Enginoev S, Rad AA, Ekimov S, et al. Risk factors for Deep Sternal Wound Infection after off-pump coronary artery bypass grafting: a case-control Study[J]. Brazilian J Cardiovasc Surg. 2021;37:13–9.

    Google Scholar 

  22. American Diabetes Association. Standards of medical care in diabetes-2020 abridged for primary care providers. Clin Diabetes. 2020;38:10–38.

    Article  PubMed Central  Google Scholar 

  23. World Health Organization. Use of glycated haemoglobin (HbA1c) in diagnosis of diabetes mellitus: abbreviated report of a WHO consultation. World Health Organization; 2011. No. WHO/NMH/CHP/CPM/11.1.

  24. Australian Diabetes Society. Peri-operative diabetes management guidelines. 2012. https://diabetessociety.com.au/documents/PerioperativeDiabetesManagementGuidelinesFINALCleanJuly2012.pdf (08 April 2020, date last accessed).

  25. Subramaniam B, Lerner A, Novack V, Khabbaz K, Paryente-Wiesmann M, Hess P, et al. Increased glycemic variability in patients with elevated preoperative hba1c predicts adverse outcomes following coronary artery bypass grafting surgery. Anesth Analg. 2014;118:277–87.

    Article  CAS  PubMed  Google Scholar 

  26. Biancari F, Giordano S. Glycated hemoglobin and the risk of sternal wound infection after adult cardiac surgery: a systematic review and meta-analysis. Semin Thorac Cardiovasc Surg. 2019;31:465–7.

    Article  PubMed  Google Scholar 

  27. Elsisy MF, Stulak JM, Alkhouli M. Incidence, characteristics, and outcomes of emergent isolated coronary artery bypass grafting. Am J Cardiol. 2020;137:20–4.

    Article  PubMed  Google Scholar 

  28. Button KS, Ioannidis JP, Mokrysz C, Nosek BA, Flint J, Robinson ES, Munafò MR. Power failure: why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci. 2013;14:365–76.

    Article  CAS  PubMed  Google Scholar 

  29. McGinn JT, Shariff MA, Bhat TM, Azab B, Molloy WJ, Quattrocchi E, et al. Prevalence of dysglycemia among coronary artery bypass surgery patients with no previous diabetic history. J Cardiothorac Surg. 2011;6:104.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Alserius T, Anderson RE, Hammar N, Nordqvist T, Ivert T. Elevated glycosylated haemoglobin (hba1c) is a risk marker in coronary artery bypass surgery. Scand Cardiovasc J. 2008;42:392–8.

    Article  CAS  PubMed  Google Scholar 

  31. Halkos ME, Puskas JD, Lattouf OM, Kilgo P, Kerendi F, Song HK, et al. Elevated preoperative hemoglobin a1c level is predictive of adverse events after coronary artery bypass surgery. J Thorac Cardiovasc Surg. 2008;136:631–40.

    Article  PubMed  Google Scholar 

  32. Tsuruta R, Miyauchi K, Yamamoto T, Dohi S, Tambara K, Dohi T, et al. Effect of preoperative hemoglobin a1c levels on long-term outcomes for diabetic patients after off-pump coronary artery bypass grafting. J Cardiol. 2011;57:181–6.

    Article  PubMed  Google Scholar 

  33. Gumus F, Polat A, Sinikoglu SN, Yektas A, Erkalp K, Alagol A. Use of a lower cut-off value for hba1c to predict postoperative renal complication risk in patients undergoing coronary artery bypass grafting. J Cardiothorac Vasc Anesth. 2013;27:1167–73.

    Article  PubMed  Google Scholar 

  34. Santos JM, Favaloro RR, Lowenstein D, Sanabria H, Raffaelli H, Hershson A. Medium-term glycemic control in diabetics before coronary bypass surgery. Med (B Aires). 2015;75:277–81.

    CAS  Google Scholar 

  35. Ramadan M, Abdelgawad A, Elshemy A, Sarawy E, Emad A, Mazen M, et al. Impact of elevated glycosylated hemoglobin on hospital outcome and 1 year survival of primary isolated coronary artery bypass grafting patients. Egypt Heart J. 2018;70:113–18.

    Article  PubMed  Google Scholar 

  36. Almogati JG, Ahmed EO. Glycated hemoglobin as a predictor of the length of hospital stay in patients following coronary bypass graft surgery in the Saudi population. Braz J Cardiovasc Surg. 2019;34:28–32.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Kim HJ, Shim JK, Youn YN, Song JW, Lee H, Kwak YL. Influence of preoperative hemoglobin a1c on early outcomes in patients with diabetes mellitus undergoing off-pump coronary artery bypass surgery. J Thorac Cardiovasc Surg. 2020;159:568–76.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

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Funding

This research was supported by the National Natural Science Foundation of China (Grant Nos: 72091210 and 71921001) and the Ministry of Education, Singapore, under its Academic Research Fund (AcRF) Tier 2 (Grant No. MOE2019-T2-1-185).

Open Access funding enabled and organized by Projekt DEAL.

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Wenyu Zhao and Han Zhou extracted and analyzed data, Jingui Xie and Zhichao Zheng supervised the data process. Wenyu Zhao and Zhichao Zheng drafted the article, Jingui Xie and Han Zhou and Oon Cheong Ooi revised the article. Haidong Luo provided relevant resources. All authors participates in the conception and design, read and approved the final manuscript.

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Correspondence to Han Zhou.

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Zhao, W., Xie, J., Zheng, Z. et al. Association between HbA1c and deep sternal wound infection after coronary artery bypass: a systematic review and meta-analysis. J Cardiothorac Surg 19, 51 (2024). https://doi.org/10.1186/s13019-024-02549-6

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