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Review
. 2021 Nov 3:71:102997.
doi: 10.1016/j.amsu.2021.102997. eCollection 2021 Nov.

Metabolic syndrome; associations with adverse outcome after colorectal surgery. A systematic review and meta-analysis

Affiliations
Review

Metabolic syndrome; associations with adverse outcome after colorectal surgery. A systematic review and meta-analysis

M Reudink et al. Ann Med Surg (Lond). .

Abstract

Background: Increasing evidence shows that patients with Metabolic Syndrome (MetS) are at risk for adverse outcome after abdominal surgery. The aim of this study was to investigate the impact of MetS and preoperative hyperglycemia, as an individual component of MetS, on adverse outcome after colorectal surgery.

Methods: A literature review was systematically performed according to the PRISMA guidelines. Inclusion criteria were observational studies that evaluated the relationship between MetS or preoperative hyperglycemia and outcomes after colorectal surgery (i.e. any complication, severe complication defined as Clavien-Dindo grade ≥ III, anastomotic leakage, surgical site infection, mortality and length of stay).

Results: Six studies (246.383 patients) evaluated MetS and eight studies (9.534 patients) reported on hyperglycemia. Incidence rates of MetS varied widely from 7% to 68% across studies. Meta-analysis showed that patients with MetS are more likely to develop severe complications than those without MetS (RR 1.62, 95% CI 1.01-2.59). Moreover, a non-significant trend toward increased risks for any complication (RR 1.35, 95% CI 0.91-2.00), anastomotic leakage (RR 1.67, 95% CI 0.47-5.93) and mortality (RR 1.19, 95% CI 1.00-1.43) was found. Furthermore, preoperative hyperglycemia was associated with an increased risk of surgical site infection (RR 1.35, 95% CI 1.01-1.81).

Conclusion: MetS seem to have a negative impact on adverse outcome after colorectal surgery. As a result of few studies meeting inclusion criteria and substantial heterogeneity, evidence is not conclusive. Future prospective observational studies should improve the amount and quality in order to verify current results.

Keywords: AHA/NHLBI, American Heart Association/National heart Lung and Blood Institute Scientific Statement; AMSTAR, A MeaSurement Tool to Assess systematic Reviews; BG, Blood glucose; BMI, Body Mass Index; CAL, Colorectal anastomotic leakage; CI, Confidence interval; CRC, Colorectal cancer; Colorectal surgery; ERAS, Enhanced Recovery After Surgery; FPG, Fasting Plasma Glucose; HbA1c, Hemglobin A1c; Hyperglycemia; IDF, International Diabetes Federation; LoS, Length of stay; MetS, Metabolic Syndrome; Metabolic syndrome; NCEP ATP III, National Cholesterol Education Program Adult Treatment Panel III; NHLBI, National Heart, Lung, and Blood Institute; NOS, Newcastle-Ottawa Scale; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; Postoperative outcome; Preoperative care; RR, Risk Ratio; SSI, Surgical site infection; WHO, World Health Organization.

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Conflict of interest statement

None.

Figures

Fig. 1
Fig. 1
PRISMA Flow diagram a one study reported both on the association of MetS and hyperglycemia. Abbreviations: n, number of studies; MetS, metabolic syndrome
Fig. 2
Fig. 2
Forest plot showing the relationship between MetS and any complication (a), severe complication (Clavien-Dindo III-IV) (b), colorectal anastomotic leakage (c) and mortality (d). Abbreviations: CI, confidence interval; M − H, Mantel Haenszel; MetS, metabolic syndrome; Fixed, fixed-effects modelling, Random; random-effects modelling. For (a) and (c), incidence rates of MetS according to the ATP III criteria are shown for Goulart et al. [25].
Fig. 3
Fig. 3
Forest plot showing the relationship between preoperative hyperglycemia and surgical site infection. Abbreviations: CI, confidence interval; M − H, Mantel Haenszel; Fixed, fixed-effects modelling.

References

    1. Gillis C., Carli F. Promoting perioperative metabolic and nutritional care. Anesthesiology. 2015;123(6):1455–1472. doi: 10.1097/ALN.0000000000000795. - DOI - PubMed
    1. Thorell A., Nygren J., Ljungqvist O. Insulin resistance: a marker of surgical stress. Curr. Opin. Clin. Nutr. Metab. Care. 1999;2(1):69–78. doi: 10.1097/00075197-199901000-00012. - DOI - PubMed
    1. Duggan E.W., Carlson K., Umpierrez G.E. Perioperative hyperglycemia management: an update. Anesthesiology. 2017;126(3):547–560. doi: 10.1097/ALN.0000000000001515. - DOI - PMC - PubMed
    1. Galassi A., Reynolds K., He J. Metabolic syndrome and risk of cardiovascular disease: a meta-analysis. Am. J. Med. 2006;119(10):812–819. S0002-9343(06)00280-4. - PubMed
    1. Chabot K., Gillis C., Carli F. Prehabilitation: metabolic considerations. Curr. Opin. Clin. Nutr. Metab. Care. 2020;23(4):271–276. doi: 10.1097/MCO.0000000000000663. - DOI - PubMed