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Impact of Sarcopenic Obesity on Failure to Rescue from Major Complications Following Pancreaticoduodenectomy for Cancer: Results from a Multicenter Study

  • Pancreatic Tumors
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Background

Failure to rescue (FTR) is a quality-of-care indicator in pancreatic surgery, but may also identify patients who may not tolerate major postoperative complications despite being treated with best available care. Previous studies found that high visceral adipose tissue-to-skeletal muscle ratio is associated with poor outcomes following pancreaticoduodenectomy (PD). The aim of the study is to assess the impact of sarcopenic obesity on occurrence of FTR from major complications in cancer patients undergoing PD.

Methods

Prospectively collected data from three high-volume hospitals were reviewed. Total abdominal muscle area (TAMA) and visceral fat area (VFA) were assessed at preoperative staging computed tomography scan. Sarcopenic obesity was defined as high VFA/TAMA ratio. FTR was defined as postoperative mortality following major complication.

Results

120 patients with major complications were included. FTR occurred in 23 (19.2%) patients. The “seminal” complications leading to FTR were pancreatic or biliary fistula-related sepsis (n = 14), postoperative pancreatic fistula (POPF)-related hemorrhage (n = 5), and duodenojejunal anastomosis leak-related sepsis (n = 1). On univariate analysis, older age [odds ratio (OR) 3.5, p = 0.034], American Society of Anesthesiologists (ASA) score 3+ (OR 4.2, p = 0.005), cardiovascular disease (OR 3.3, p = 0.013), low serum albumin (OR 2.6, p = 0.042), sarcopenic obesity (OR 4.2, p = 0.009), POPF (OR 3.1, p = 0.027), and cardiorespiratory complications (OR 3.7, p = 0.011) were significantly associated with FTR. On multivariate analysis, sarcopenic obesity [OR 5.7, 95% confidence interval (CI) 1.6–20.7, p = 0.008], ASA score 3+ (OR 4.1, 95% CI 1.2–14.3, p = 0.025), and pancreatic fistula (OR 3.2, 95% CI 1.0–10.2, p = 0.045) were independently associated with FTR.

Conclusion

Sarcopenic obesity, low preoperative physical status, and occurrence of pancreatic fistula are associated with significantly higher risk of FTR from major complications after PD.

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References

  1. Gooiker GA, van Gijn W, Wouters MW, et al. Systematic review and meta-analysis of the volume-outcome relationship in pancreatic surgery. Br J Surg. 2011;98(4):485–494.

    Article  CAS  PubMed  Google Scholar 

  2. Balzano G, Capretti G, Callea G, Cantu E, Carle F, Pezzilli R. Overuse of surgery in patients with pancreatic cancer. A nationwide analysis in Italy. HPB (Oxford). 2016;18(5):470–478.

    Article  Google Scholar 

  3. Uzunoglu FG, Reeh M, Vettorazzi E, et al. Preoperative pancreatic resection (PREPARE) score: a prospective multicenter-based morbidity risk score. Ann Surg. 2014;260(5):857–863; discussion 863–854.

    Article  PubMed  Google Scholar 

  4. Winter JM, Cameron JL, Campbell KA, et al. 1423 pancreaticoduodenectomies for pancreatic cancer: a single-institution experience. J Gastrointest Surg. 2006;10(9):1199–1210; discussion 1210–1191.

    Article  PubMed  Google Scholar 

  5. Silber JH, Romano PS, Rosen AK, Wang Y, Even-Shoshan O, Volpp KG. Failure-to-rescue: comparing definitions to measure quality of care. Med Care. 2007;45(10):918–925.

    Article  PubMed  Google Scholar 

  6. Ghaferi AA, Dimick JB. Importance of teamwork, communication and culture on failure-to-rescue in the elderly. Br J Surg. 2016;103(2):e47–51.

    Article  CAS  PubMed  Google Scholar 

  7. Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162(20):2269–2276.

    Article  PubMed  Google Scholar 

  8. Belyaev O, Herzog T, Kaya G, et al. Pancreatic surgery in the very old: face to face with a challenge of the near future. World J Surg. 2013;37(5):1013–1020.

    Article  PubMed  Google Scholar 

  9. Englesbe MJ, Lee JS, He K, et al. Analytic morphomics, core muscle size, and surgical outcomes. Ann Surg. 2012;256(2):255–261.

    Article  PubMed  Google Scholar 

  10. Pecorelli N, Carrara G, De Cobelli F, et al. Effect of sarcopenia and visceral obesity on mortality and pancreatic fistula following pancreatic cancer surgery. Br J Surg. 2016;103(4):434–442.

    Article  CAS  PubMed  Google Scholar 

  11. Sandini M, Bernasconi DP, Fior D, et al. A high visceral adipose tissue-to-skeletal muscle ratio as a determinant of major complications after pancreatoduodenectomy for cancer. Nutrition (Burbank, Los Angeles County, Calif.). 2016;32(11–12):1231–1237.

    Article  Google Scholar 

  12. von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453–1457.

    Article  Google Scholar 

  13. Balzano G, Zerbi A, Capretti G, Rocchetti S, Capitanio V, Di Carlo V. Effect of hospital volume on outcome of pancreaticoduodenectomy in Italy. Br J Surg. 2008;95(3):357–362.

    Article  CAS  PubMed  Google Scholar 

  14. Mourtzakis M, Prado CM, Lieffers JR, Reiman T, McCargar LJ, Baracos VE. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab. 2008;33(5):997–1006.

    Article  Google Scholar 

  15. Shen W, Punyanitya M, Wang Z, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol. 2004;97(6):2333–2338.

    Article  PubMed  Google Scholar 

  16. Martin L, Birdsell L, Macdonald N, et al. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol. 2013;31(12):1539–1547.

    Article  PubMed  Google Scholar 

  17. Pecorelli N, Balzano G, Capretti G, Zerbi A, Di Carlo V, Braga M. Effect of surgeon volume on outcome following pancreaticoduodenectomy in a high-volume hospital. J Gastrointest Surg. 2012;16(3):518–523.

    Article  PubMed  Google Scholar 

  18. Gianotti L, Braga M, Gentilini O, Balzano G, Zerbi A, Di Carlo V. Artificial nutrition after pancreaticoduodenectomy. Pancreas. 2000;21(4):344–351.

    Article  CAS  PubMed  Google Scholar 

  19. Mise Y, Vauthey JN, Zimmitti G, et al. Ninety-day postoperative mortality is a legitimate measure of hepatopancreatobiliary surgical quality. Ann Surg. 2015;262(6):1071.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240(2):205–213.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Bassi C, Dervenis C, Butturini G, et al. Postoperative pancreatic fistula: an international study group (ISGPF) definition. Surgery. 2005;138(1):8–13.

    Article  PubMed  Google Scholar 

  22. Wente MN, Veit JA, Bassi C, et al. Postpancreatectomy hemorrhage (PPH): an International Study Group of Pancreatic Surgery (ISGPS) definition. Surgery. 2007;142(1):20–25.

    Article  PubMed  Google Scholar 

  23. Williams BA, Mandrekar JN, Mandrekar SJ, Cha SS, Furth AF. Finding optimal cutpoints for continuous covariates with binary and time-to-event outcomes.: Rochester, MN, Mayo Foundation, Technical Report Series 79;2006.

  24. Glantz SA, Slinker BK. Primer of applied regression and analysis of variance. New York: McGraw-Hill, Health Professions Division; 1990.

    Google Scholar 

  25. Donabedian A. The quality of care. How can it be assessed? JAMA. 1988;260(12):1743–1748.

    Article  CAS  PubMed  Google Scholar 

  26. Joseph B, Morton JM, Hernandez-Boussard T, Rubinfeld I, Faraj C, Velanovich V. Relationship between hospital volume, system clinical resources, and mortality in pancreatic resection. J Am Coll Surg. 2009;208(4):520–527.

    Article  PubMed  Google Scholar 

  27. Sheetz KH, Dimick JB, Ghaferi AA. Impact of hospital characteristics on failure to rescue following major surgery. Ann Surg. 2016;263(4):692–697.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Hasselager R, Gogenur I. Core muscle size assessed by perioperative abdominal CT scan is related to mortality, postoperative complications, and hospitalization after major abdominal surgery: a systematic review. Langenbeck Arch Surg. 2014;399(3):287–295.

    Article  Google Scholar 

  29. Ruiz M, Cefalu C, Reske T. Frailty syndrome in geriatric medicine. Am J Med Sci. 2012;344(5):395–398.

    Article  PubMed  Google Scholar 

  30. Kaplan SJ, Pham TN, Arbabi S, et al. Association of radiologic indicators of frailty with 1-year mortality in older trauma patients: opportunistic screening for sarcopenia and osteopenia. JAMA Surg. 2017;152(2):e164604.

    Article  PubMed  Google Scholar 

  31. Despres JP, Lemieux I. Abdominal obesity and metabolic syndrome. Nature. 2006;444(7121):881–887.

    Article  CAS  PubMed  Google Scholar 

  32. Sato H, Carvalho G, Sato T, Lattermann R, Matsukawa T, Schricker T. The association of preoperative glycemic control, intraoperative insulin sensitivity, and outcomes after cardiac surgery. J Clin Endocrinol Metab. 2010;95(9):4338–4344.

    Article  CAS  Google Scholar 

  33. Pedersen BK. The diseasome of physical inactivity–and the role of myokines in muscle–fat cross talk. J Physiol. 2009;587(Pt 23):5559–5568.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Braga M, Capretti G, Pecorelli N, et al. A prognostic score to predict major complications after pancreaticoduodenectomy. Ann Surg. 2011;254(5):702–708; discussion 707–708.

    Article  PubMed  Google Scholar 

  35. Tamirisa NP, Parmar AD, Vargas GM, et al. Relative contributions of complications and failure to rescue on mortality in older patients undergoing pancreatectomy. Ann Surg. 2016;263(2):385–391.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Kirihara Y, Takahashi N, Hashimoto Y, et al. Prediction of pancreatic anastomotic failure after pancreatoduodenectomy: the use of preoperative, quantitative computed tomography to measure remnant pancreatic volume and body composition. Ann Surg. 2013;257(3):512–519.

    Article  PubMed  Google Scholar 

  37. Sandini M, Bernasconi DP, Ippolito D, et al. Preoperative computed tomography to predict and stratify the risk of severe pancreatic fistula after pancreatoduodenectomy. Medicine (Baltimore). 2015;94(31):e1152.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Barberan-Garcia A, Ubre M, Roca J, et al. Personalised prehabilitation in high-risk patients undergoing elective major abdominal surgery: a randomized blinded controlled trial. Ann Surg. 2017. https://doi.org/10.1097/SLA.0000000000002293.

    Google Scholar 

  39. Li C, Carli F, Lee L, et al. Impact of a trimodal prehabilitation program on functional recovery after colorectal cancer surgery: a pilot study. Surg Endosc. 2013;27(4):1072–1082.

    Article  PubMed  Google Scholar 

  40. Glance LG, Osler TM, Neuman MD. Redesigning surgical decision making for high-risk patients. N Engl J Med. 2014;370(15):1379–1381.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Sutton JM, Abbott DE. Neoadjuvant therapy for pancreas cancer: past lessons and future therapies. World J Gastroenterol. 2014;20(42):15564–15579.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. West MA, Loughney L, Lythgoe D, et al. Effect of prehabilitation on objectively measured physical fitness after neoadjuvant treatment in preoperative rectal cancer patients: a blinded interventional pilot study. Br J Anaesthesia. 2015;114(2):244–251.

    Article  CAS  Google Scholar 

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The authors disclose no conflicts of interest.

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Correspondence to Nicolò Pecorelli MD.

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Supplementary material 1 (TIFF 8365 kb)

Supplementary Material 1. CT scan at the third lumbar vertebra level in a sarcopenic obese male patient included in the study. (a) unprocessed imaging; (b) processed imaging. Subcutaneous fat area (SFA) is highlighted in yellow, total abdominal muscle area (TAMA) in red, and visceral fat area (VFA) in green. SFA was 299 cm2, TAMA 33 cm2/m2, VFA 165 cm2. His VFA/TAMA ratio was 5.0.

Supplementary material 2 (DOCX 107 kb)

Supplementary Material 2. Definition of postoperative complications used in the study.

Supplementary material 3 (TIFF 3939 kb)

Supplementary Material 3. Receiver operating characteristic curve of final multivariate model for failure to rescue.

Supplementary material 4 (DOCX 21 kb)

Supplementary Material 4. Univariate and multivariate logistic regression analysis of potential predictors associated with failure to rescue after pancreaticoduodenectomy, entering visceral fat area instead of visceral adipose tissue-to-skeletal muscle ratio in the multivariate model.

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Pecorelli, N., Capretti, G., Sandini, M. et al. Impact of Sarcopenic Obesity on Failure to Rescue from Major Complications Following Pancreaticoduodenectomy for Cancer: Results from a Multicenter Study. Ann Surg Oncol 25, 308–317 (2018). https://doi.org/10.1245/s10434-017-6216-5

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