Skip to main content

Advertisement

Log in

Predicting mortality in patients admitted to the intensive care unit after open vascular surgery

  • Original Article
  • Published:
Surgery Today Aims and scope Submit manuscript

Abstract

Purposes

Vascular surgery (VS) has a higher perioperative mortality than other types of surgery. We compared different scores for predicting mortality in patients admitted to the intensive care unit (ICU) after open VS.

Methods

Patients admitted to the ICU after open VS from 2006 to 2013 were included. We calculated the Acute Physiology and Chronic Health Evaluation (APACHE), Simplified Acute Physiology Score (SAPS), Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) and Preoperative Score to Predict Postoperative Mortality (POSPOM). We performed multivariate logistic regression to assess independent factors with the calculation of odds ratios (ORs) and 95% confidence intervals (CIs). We tested the predictive ability of the scores using the area under the receiver operating characteristics curve (AUROC).

Results

A total of 833 consecutive patients were included. Hospital mortality was 5.1% (1.3% after intermediate-risk and 8.4% after high-risk surgery). In the multivariate analysis, the age (OR 1.04, 95% CI 1.01–1.08, p = 0.013), smoking status (OR 2.46, 95% CI 1.16–5.21, p = 0.019), surgery risk (OR 2.92, 95% CI 1.05–8.08, p = 0.040), serum sodium level (OR 1.17, 95% CI 1.10–1.26, p < 0.001), urea (OR 1.01, 95% CI 1.01–1.02, p = 0.001) and leukocyte count (OR 1.05, 95% CI 1.01–1.10, p = 0.009) at admission were considered independent predictors. Hematocrit (0.86, 95% CI 0.80–0.93, p < 0.001) was considered an independent protective factor. The AUROC of our model was 0.860, compared to SAPS (0.752), APACHE (0.774), POSPOM (0.798) and POSSUM (0.829).

Conclusion

The observed mortality was within the predicted range (1–5% after intermediate-risk and > 5% after high-risk surgery). POSSUM and POSPOM had slightly better predictive capacity than SAPS or APACHE.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Weiser TG, Regenbogen SE, Thompson KD, Haynes AB, Lipsitz SR, Berry WR, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet. 2008;372(9633):139–44.

    Article  PubMed  Google Scholar 

  2. Gupta PK, Gupta H, Sundaram A, Kaushik M, Fang X, Miller WJ, et al. Development and validation of a risk calculator for prediction of cardiac risk after surgery. Circulation. 2011;124(4):381–7.

    Article  PubMed  Google Scholar 

  3. Ohlsson H, Winso O. Assessment of the surgical Apgar Score in a Swedish setting. Acta Anaesthesiol Scand. 2011;55(5):524–9.

    Article  CAS  PubMed  Google Scholar 

  4. Pearse RM, Moreno RP, Bauer P, Pelosi P, Metnitz P, Spies C, et al. Mortality after surgery in Europe: a 7 day cohort study. Lancet. 2012;380(9847):1059–65.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Monk TG, Saini V, Weldon BC, Sigl JC. Anesthetic management and one-year mortality after noncardiac surgery. Anesth Analg. 2005;100(1):4–10.

    Article  PubMed  Google Scholar 

  6. Khuri SF, Henderson WG, DePalma RG, Mosca C, Healey NA, Kumbhani DJ, et al. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg. 2005;242(3):326–41.

    PubMed  PubMed Central  Google Scholar 

  7. Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med. 2009;361(14):1368–75.

    Article  CAS  PubMed  Google Scholar 

  8. Pearse RM, Harrison DA, James P, Watson D, Hinds C, Rhodes A, et al. Identification and characterisation of the high-risk surgical population in the United Kingdom. Crit Care. 2006;10(3):R81.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Abelha FJ, Castro MA, Landeiro NM, Neves AM, Santos CC. Mortality and length of stay in a surgical intensive care unit. Rev Br Anestesiol. 2006;56(1):34–45.

    Article  Google Scholar 

  10. Leung JM, Dzankic S. Relative importance of preoperative health status versus intraoperative factors in predicting postoperative adverse outcomes in geriatric surgical patients. J Am Geriatr Soc. 2001;49(8):1080–5.

    Article  CAS  PubMed  Google Scholar 

  11. Hall BL, Hamilton BH, Richards K, Bilimoria KY, Cohen ME, Ko CY. Does surgical quality improve in the American College of Surgeons National Surgical Quality Improvement Program: an evaluation of all participating hospitals. Ann Surg. 2009;250(3):363–76.

    PubMed  Google Scholar 

  12. Weissman C. The enhanced postoperative care system. J Clin Anesth. 2005;17(4):314–22.

    Article  PubMed  Google Scholar 

  13. Simpson JC, Moonesinghe SR. Introduction to the postanaesthetic care unit. Perioperat Med. 2013;2(1):5.

    Article  Google Scholar 

  14. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13(10):818–29.

    Article  CAS  PubMed  Google Scholar 

  15. Vincent JL, Moreno R. Clinical review: scoring systems in the critically ill. Crit Care. 2010;14(2):207.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. J Am Med Assoc. 1993;270(24):2957–63.

    Article  Google Scholar 

  17. Halpern NA, Pastores SM, Greenstein RJ. Critical care medicine in the United States 1985-2000: an analysis of bed numbers, use, and costs. Crit Care Med. 2004;32(6):1254–9.

    Article  PubMed  Google Scholar 

  18. Mosquera D, Chiang N, Gibberd R. Evaluation of surgical performance using V-POSSUM risk-adjusted mortality rates. ANZ J Surg. 2008;78(7):535–9.

    Article  PubMed  Google Scholar 

  19. Midwinter MJ, Tytherleigh M, Ashley S. Mortality and morbidity risk in Vascular Surgery using POSSUM and Portsmouth predictor equation. Br J Surg. 1999;86:471–4.

    Article  CAS  PubMed  Google Scholar 

  20. Le Manach Y, Collins G, Rodseth R, Le Bihan-Benjamin C, Biccard B, Riou B, et al. Preoperative Score to Predict Postoperative Mortality (POSPOM): derivation and Validation. Anesthesiology. 2016;124(3):570–9.

    Article  PubMed  Google Scholar 

  21. Liu Y, Cohen ME, Ko CY, Bilimoria KY, Hall BL. Considerations in releasing equations for the american college of surgeons NSQIP surgical risk calculator in: reply to Wanderer and Ehrenfeld. J Am Coll Surg. 2016;223(4):674–5.

    Article  PubMed  Google Scholar 

  22. Bilimoria KY, Liu Y, Paruch JL, Zhou L, Kmiecik TE, Ko CY, et al. Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013;217(5):833–42.

    Article  PubMed  PubMed Central  Google Scholar 

  23. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–7.

    Article  Google Scholar 

  24. Kristensen SD, Knuuti J, Saraste A, Anker S, Botker HE, De Hert S, et al. 2014 ESC/ESA Guidelines on non-cardiac surgery: cardiovascular assessment and management: the Joint Task Force on non-cardiac surgery: cardiovascular assessment and management of the European Society of Cardiology (ESC) and the European Society of Anaesthesiology (ESA). Eur J Anaesthesiol. 2014;31(10):517–73.

    Article  PubMed  Google Scholar 

  25. Mehta RL, Kellum JA, Shah SV, Molitoris BA, Ronco C, Warnock DG, et al. Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Crit Care. 2007;11(2):R31.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Devereaux PJ, Chan MT, Alonso-Coello P, Walsh M, Berwanger O, et al. Association between postoperative troponin levels and 30-day mortality among patients undergoing noncardiac surgery. J Am Med Assoc. 2012;307(21):2295–304.

    Article  CAS  Google Scholar 

  27. Rhodes A, Moreno RP, Metnitz B, Hochrieser H, Bauer P, Metnitz P. Epidemiology and outcome following post-surgical admission to critical care. Intensive Care Med. 2011;37(9):1466–72.

    Article  CAS  PubMed  Google Scholar 

  28. Weissman C, Klein N. The importance of differentiating between elective and emergency postoperative critical care patients. J Crit Care. 2008;23(3):308–16.

    Article  PubMed  Google Scholar 

  29. Darmon M, Diconne E, Souweine B, Ruckly S, Adrie C, Azoulay E, et al. Prognostic consequences of borderline dysnatremia: pay attention to minimal serum sodium change. Crit Care. 2013;17(1):R12.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Funk GC, Lindner G, Druml W, Metnitz B, Schwarz C, Bauer P, et al. Incidence and prognosis of dysnatremias present on ICU admission. Intensive Care Med. 2010;36(2):304–11.

    Article  PubMed  Google Scholar 

  31. Darmon M, Timsit JF, Francais A, Nguile-Makao M, Adrie C, Cohen Y, et al. Association between hypernatraemia acquired in the ICU and mortality: a cohort study. Nephrol Dial Transplant. 2010;25(8):2510–5.

    Article  CAS  PubMed  Google Scholar 

  32. Waite MD, Fuhrman SA, Badawi O, Zuckerman IH, Franey CS. Intensive care unit-acquired hypernatremia is an independent predictor of increased mortality and length of stay. J Crit Care. 2013;28(4):405–12.

    Article  PubMed  Google Scholar 

  33. Stelfox HT, Ahmed SB, Khandwala F, Zygun D, Shahpori R, Laupland K. The epidemiology of intensive care unit-acquired hyponatraemia and hypernatraemia in medical–surgical intensive care units. Crit Care. 2008;12(6):R162.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Lindner G, Funk GC. Hypernatremia in critically ill patients. J Crit Care. 2013;28(2):216.

    PubMed  Google Scholar 

  35. Naughton C, Feneck RO. The impact of age on 6-month survival in patients with cardiovascular risk factors undergoing elective non-cardiac surgery. Int J Clin Pract. 2007;61(5):768–76.

    Article  CAS  PubMed  Google Scholar 

  36. Skonetzki S, Lüders F, Engelbertz C, Malyar NM, Freisinger E, Meyborg M, et al. Aging and outcome in patients with peripheral artery disease and critical limb ischemia. J Post-Acute Long-Term Care Med. 2016;17(10):927–32.

    Google Scholar 

  37. Maia PC, Abelha FJ. Predictors of major postoperative cardiac complications in a surgical ICU. Portug J Cardiol. 2008;27(3):321–8.

    Google Scholar 

  38. Abelha FJ, Botelho M, Fernandes V, Barros H. Quality of life and mortality assessment in patients with major cardiac events in the postoperative period. Rev Br Anestesiol. 2010;60(3):268–84.

    Google Scholar 

  39. Flores E, Lewinger JP, Rowe VL, Woo K, Weaver FA, Shavelle D, et al. Increased risk of mortality after lower extremity bypass in individuals with acute kidney injury in the vascular quality initiative. J Vasc Surg. 2017;65(4):1055–61.

    Article  PubMed  Google Scholar 

  40. Huber M, Ozrazgat-Baslanti T, Thottakkara P, Efron PA, Feezor R, Hobson C, et al. Mortality and cost of acute and chronic kidney disease after vascular surgery. Ann Vasc Surg. 2016;30:72–81.

    Article  PubMed  Google Scholar 

  41. Arora P, Davari-Farid S, Pourafkari L, Gupta A, Dosluoglu HH, Nader ND, et al. The effect of acute kidney injury after revascularization on the development of chronic kidney disease and mortality in patients with chronic limb ischemia. J Vasc Surg. 2015;61(3):720–7.

    Article  PubMed  Google Scholar 

  42. O’Hare AM, Sidawy AN, Feinglass J, Merine KM, Daley J, Khuri S, et al. Influence of renal insufficiency on limb loss and mortality after initial lower extremity surgical revascularization. J Vasc Surg. 2004;39(4):709–16.

    Article  PubMed  Google Scholar 

  43. Lobo SM, Rezende E, Knibel MF, Silva NB, Paramo JA, Nacul FE, et al. Early determinants of death due to multiple organ failure after noncardiac surgery in high-risk patients. Anesth Analg. 2011;112(4):877–83.

    Article  PubMed  Google Scholar 

  44. Chen SL, Whealon MD, Kabutey NK, Kuo IJ, Sgroi MD, Fujitani RM. Outcomes of open and endovascular lower extremity revascularization in active smokers with advanced peripheral arterial disease. J Vasc Surg. 2017;65(6):1680–9.

    Article  PubMed  Google Scholar 

  45. Velescu A, Clará A, Cladellas M, Peñafiel J, Mateos E, Ibañez S, et al. Anemia increases mortality after open or endovascular treatment in patients with critical limb ischemia: a retrospective analysis. Eur J Vasc Endovasc Surg. 2016;51(4):543–9.

    Article  CAS  PubMed  Google Scholar 

  46. Ad N, Holmes SD, Massimiano PS, Spiegelstein D, Shuman DJ, Pritchard G, et al. Operative risk and preoperative hematocrit in bypass graft surgery: role of gender and blood transfusion. Cardiovasc Revasc Med. 2015;16(7):397–400.

    Article  PubMed  Google Scholar 

  47. Gupta PK, Sundaram A, MacTaggart JN, Johanning JM, Gupta H, Fang X, et al. Preoperative anemia is an independent predictor of postoperative mortality and adverse cardiac events in elderly patients undergoing elective vascular operations. Ann Surg. 2013;258(6):1096–102.

    Article  PubMed  Google Scholar 

  48. Valentijn TM, Hoeks SE, Bakker EJ, van de Luijtgaarden KM, Verhagen HJ, Stolker RJ, et al. The impact of perioperative red blood cell transfusions on postoperative outcomes in vascular surgery patients. Ann Vasc Surg. 2015;29(3):511–9.

    Article  PubMed  Google Scholar 

  49. O’Keeffe SD, Davenport DL, Minion DJ, Sorial EE, Endean ED, Xenos ES. Blood transfusion is associated with increased morbidity and mortality after lower extremity revascularization. J Vasc Surg. 2010;51(3):616–21.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

All authors were involved in data collection. PR was responsible for the data analysis and manuscript writing. FA coordinated the project and revised the manuscript. All authors approved the final version of the manuscript.

Corresponding author

Correspondence to Pedro Reis.

Ethics declarations

Conflict of interest

All authors have nothing to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Reis, P., Lopes, A.I., Leite, D. et al. Predicting mortality in patients admitted to the intensive care unit after open vascular surgery. Surg Today 49, 836–842 (2019). https://doi.org/10.1007/s00595-019-01805-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00595-019-01805-w

Keywords

Navigation