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Perioperative Risk Models

  • Chad M. CraigEmail author
  • Matthew L. Buchalter
  • Craig Basman
  • Emily S. Wang
  • Michael Shoffeitt
  • C. Ronald MacKenzie
Chapter
  • 32 Downloads

Abstract

Over the past 80 years, various risk models have been published attempting to aid clinical decision-making in the perioperative period. The primary goal of such models is to objectively classify risks numerically or into categories that can be readily understood by clinicians and patients. Some models have been extrapolated from nonsurgical patient populations, whereas others have been derived and validated solely in surgical cohorts. The scope of perioperative medicine is broad, and a discussion of risks surrounding the surgical period can vary from general statements noting whether patients are acceptable candidates, to detailed problem-specific discussions. We present here an outline of key preoperative models developed over time. These models relay general risk assessments as well as problem- and specialty-specific assessments.

Keywords

Perioperative risk Preoperative risk Risk model Risk score Preoperative assessment 

References

  1. 1.
    Saklad M. Grading of patients for surgical procedures. Anesthesiology. 1941;2:281–4.Google Scholar
  2. 2.
    ASA Physical Status Classification System. American Society of Anesthesiologists. Website: https://www.asahq.org/resources/clinical-information/asa-physical-status-classification-system. Accessed 28 May 2018.
  3. 3.
    Owens W. American Society of Anesthesiologists Physical Status Classification System is not a risk classification system. Anesthesiology. 2001;94:378.CrossRefGoogle Scholar
  4. 4.
    Tiret L, Hatton F, Desmonts JM, Vourc’h G. Prediction of outcome of anesthesia in patients over 40 years: a multifactorial risk index. Stat Med. 1988;7(9):947–54.CrossRefGoogle Scholar
  5. 5.
    Teh SH, Nagorney DM, Stevens SR, Offord KP, Therneau TM, Plevak DJ, et al. Risk factors for mortality after surgery in patients with cirrhosis. Gastroenterology. 2007;132:1261–9.CrossRefGoogle Scholar
  6. 6.
    Grosflam JM, Wright E, Cleary P, Katz JN. Predictors of blood loss during total hip replacement surgery. Arthritis Care Res. 1995;8:167–73.CrossRefGoogle Scholar
  7. 7.
    Zakriya KJ, Christmas C, Wenz J, Franckowiak S, Anderson R, Sieber FE. Preoperative factors associated with postoperative change in confusion assessment method score in hip fracture patients. Anesth Analg. 2002;94:1628–32.PubMedGoogle Scholar
  8. 8.
    Rauh MA, Krackow KA. In-hospital deaths following elective total joint arthroplasty. Orthopedics. 2004;27:407–11.CrossRefGoogle Scholar
  9. 9.
    Ridgeway S, Wilson J, Charlet A, Kafatos G, Pearson A, Coello R. Infection of the surgical site after arthroplasty of the hip. J Bone Joint Surg Br. 2005;87:844–50.CrossRefGoogle Scholar
  10. 10.
    Tang R, Chen HH, Wang YL, Changchien CR, Chen JS, Hsu KC, et al. Risk factors for surgical site infection after elective resection of the colon and rectum: a single-center prospective study of 2,809 consecutive patients. Ann Surg. 2001;234:181–9.CrossRefPubMedPubMedCentralGoogle Scholar
  11. 11.
    Sauvanet A, Mariette C, Thomas P, Lozac’h P, Segol P, Tiret E, et al. Mortality and morbidity after resection for adenocarcinoma of the gastroesophageal junction: predictive factors. J Am Coll Surg. 2005;201:253–62.CrossRefGoogle Scholar
  12. 12.
    Prause G, Offner A, Ratzenhofer-Komenda B, Vicenzi M, Smolle J, Smolle-Jüttner F. Comparison of two preoperative indices to predict perioperative mortality in non-cardiac thoracic surgery. Eur J Cardiothorac Surg. 1997;11:670–5.CrossRefGoogle Scholar
  13. 13.
    Carey MS, Victory R, Stitt L, Tsang N. Factors that influence length of stay for in-patient gynecology surgery: is the Case Mix Group (CMG) or type of procedure more important? J Obstet Gynaecol Can. 2006;28:149–55.CrossRefGoogle Scholar
  14. 14.
    Wolters U, Wolf T, Stutzer H, Schröder T. ASA classification and perioperative variables as predictors of postoperative outcome. Br J Anaesth. 1996;77(2):217.CrossRefGoogle Scholar
  15. 15.
    Riley R, Holman C, Fletcher D. Inter-rater reliability of the ASA physical status classification a sample of anesthetists in Western Australia. Anaesth Intensive Care. 2014;42(5):614–8.CrossRefGoogle Scholar
  16. 16.
    Sankar A, Johnson SR, Beattie WS, Tait G, Wijeysundera DN. Reliability of the American Society of Anesthesiologists physical status scale in clinical practice. Br J Anaesth. 2014;113(3):424–32.CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Cuvillon P, Nouvellon E, Marret E, Albaladejo P, Fortier LP, Fabbro-Perray P, et al. American Society of Anesthesiologists’ physical status system: a multicentre Francophone study to analyze reasons for classification disagreement. Eur J Anaesthesiol. 2011;28:742–7.CrossRefGoogle Scholar
  18. 18.
    Dripps RD, Lamont A, Eckenhoff JE. The role of anesthesia in surgical mortality. JAMA. 1961;178(3):107–12.CrossRefGoogle Scholar
  19. 19.
    American Society of Anesthesiologists. New classification of physical status. Anesthesiology. 1963;24:111.Google Scholar
  20. 20.
    Holt NF, Silverman DG. Modeling perioperative risk: can numbers speak louder than words? Anesthesiol Clin. 2006;24(3):427–59.CrossRefGoogle Scholar
  21. 21.
    Copeland GP, Jones D, Walters M. POSSUM: a scoring system for surgical audit. Br J Surg. 1991;78(3):355–60.CrossRefGoogle Scholar
  22. 22.
    Risk Prediction in Surgery. Website: http://www.riskprediction.org.uk/. Accessed 21 Jan 2015.
  23. 23.
    van Zeeland ML, Genovesi IP, Mulder JW, Strating PR, Glas AS, Engel AF. POSSUM predicts hospital mortality and long-term survival in patients with hip fractures. J Trauma. 2011;70(4):E67–72.CrossRefGoogle Scholar
  24. 24.
    Bao D, Xue Q, Xu Y. Value of predicting preoperative risk in orthopedic surgery using POSSUM. Zhonghua Yi Xue Za Zhi. 2015;95(31):2537–41.PubMedGoogle Scholar
  25. 25.
    Prytherch DR, Whiteley MS, Higgins B, Weaver PC, Prout WG, Powell SJ. POSSUM and Portsmouth POSSUM for predicting mortality. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity. Br J Surg. 1998;85(9):1217–20.CrossRefGoogle Scholar
  26. 26.
    Kuhan G, Abidia AF, Wijesinghe LD, Chetter IC, Johnson BF, Wilkinson AR, et al. POSSUM and P-POSSUM over predict mortality for carotid endarterectomy. Eur J Vasc Endovasc Surg. 2002;23(3):209–11.CrossRefGoogle Scholar
  27. 27.
    Steinberg EL, Amar E, Sagy Y, Rath E, Kadar A, Sternheim A. The impact of serum albumin and serum protein levels on POSSUM score of patients with proximal femur fractures. Injury. 2014;45(12):1928–31.CrossRefGoogle Scholar
  28. 28.
    Prytherch DR, Ridler BM, Beard JD, Earnshaw JJ, Audit and Research Committee. A model for national outcome audit in vascular surgery. Eur J Vasc Endovasc Surg. 2001;21(6):477–83.CrossRefGoogle Scholar
  29. 29.
    Yii MK, Ng KJ. Risk-adjusted surgical audit with the POSSUM scoring system in a developing country. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity. Br J Surg. 2002;89(1):110–3.CrossRefGoogle Scholar
  30. 30.
    Moonesinghe SR, Mythen MG, Das P, Rowan KM, Grocott MP. Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery, qualitative systematic review. Anesthesiology. 2013;119(4):959–81.CrossRefGoogle Scholar
  31. 31.
    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.CrossRefGoogle Scholar
  32. 32.
    Bosch DJ, Pultrum BB, de Bock GH, Oosterhuis JK, Rodgers MG, Plukker JT. Comparison of different risk-adjustment models in assessing short-term surgical outcome after transthoracic esophagectomy in patients with esophageal cancer. Am J Surg. 2011;202(3):303–9.CrossRefGoogle Scholar
  33. 33.
    Hilditch WG, Asbury AJ, Crawford JM. Pre-operative screening: criteria for referring to anesthetists. Anesthesia. 2003;58:117–24.CrossRefGoogle Scholar
  34. 34.
    Hilditch WG, Asbury AJ, Jack E, McGrane S. Validation of a pre-anesthetic screening questionnaire. Anesthesia. 2003;58:874–910.CrossRefGoogle Scholar
  35. 35.
    Glance LG, Lustic SJ, Hannan EL, Osler TM, Mukamel DB, Qian F, et al. The Surgical Mortality Probability Model: derivation and validation of a simple risk prediction rule for noncardiac surgery. Ann Surg. 2012;255(4):696–702.CrossRefGoogle Scholar
  36. 36.
    Goldman L. The revised cardiac risk index delivers what it promised. Ann Intern Med. 2010;152:57–8.CrossRefGoogle Scholar
  37. 37.
    POISE Study Group, Devereaux PJ, Yang H, Yusuf S, Guyatt G, Leslie K, et al. Effects of extended-release metoprolol succinate in patients undergoing non-cardiac surgery (POISE trial): a randomised controlled trial. Lancet. 2008;371:1839–47.CrossRefGoogle Scholar
  38. 38.
    Sutton R, Bann S, Brooks M, Sarin S. The Surgical Risk Scale as an improved tool for risk-adjusted analysis in comparative surgical audit. Br J Surg. 2002;89:763–8.CrossRefGoogle Scholar
  39. 39.
    American College of Surgeons NSQIP Surgical Risk Calculator. Website: http://riskcalculator.facs.org/. Accessed 17 Nov 2014.
  40. 40.
    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.CrossRefGoogle Scholar
  41. 41.
    Gupta H, Gupta PK, Fang X, Miller WJ, Cemaj S, Forse RA, et al. Development and validation of a risk calculator predicting postoperative respiratory failure. Chest. 2011;140(5):1207–15.CrossRefGoogle Scholar
  42. 42.
    Birkmeyer JD, Shahian DM, Dimick JB, Finlayson SR, Flum DR, Ko CY, et al. Blueprint for a new American College of Surgeons: National Surgical Quality Improvement Program. J Am Coll Surg. 2008;207:777–82.CrossRefGoogle Scholar
  43. 43.
    Protopapa KL, Simpson JC, Smith NC, Moonesinghe SR. Development and validation of the Surgical Outcome Risk Tool (SORT). Br J Surg. 2014;101(13):1774–83.CrossRefPubMedPubMedCentralGoogle Scholar
  44. 44.
    Surgical Outcome Risk Tool (SORT) online calculator. Website: http://www.sortsurgery.com/. Accessed 25 Jan 2014.
  45. 45.
    Chan DXH, Sim YE, Chan YH, Poopalalingam R, Abdullah HR. Development of the Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator for prediction of postsurgical mortality and need for intensive care unit admission risk: a single-center retrospective study. BMJ Open. 2018;8:1–11.Google Scholar
  46. 46.
    Jones DR, Copeland GP, de Cossart L. Comparison of POSSUM with APACHE II for prediction of outcome from a surgical high-dependency unit. Br J Surg. 1992;79(12):1293–6.CrossRefGoogle Scholar
  47. 47.
    Osler TM, Rogers FB, Glance LG, Cohen M, Rutledge R, Shackford SR. Predicting survival, length of stay, and cost in the surgical intensive care unit: APACHE II versus ICISS. J Trauma. 1998;45(2):234–7.CrossRefGoogle Scholar
  48. 48.
    Gawande AA, Kwaan MR, Regenbogen SE, Lipsitz SA, Zinner MJ. An Apgar score for surgery. J Am Coll Surg. 2007;204:201–8.CrossRefGoogle Scholar
  49. 49.
    Weiser TG, Regenbogen SE, Thompson KD, Haynes AB, Lipsitz SR, Berry WR, et al. An estimation of the global volume of surgery: a modeling strategy based on available data. Lancet. 2008;372:139–44.CrossRefGoogle Scholar
  50. 50.
    Eagle KA, Coley CM, Newell JB, Brewster DC, Darling RC, Strauss HW, et al. Combining clinical and thallium data optimizes preoperative assessment of cardiac risk before major vascular surgery. Ann Intern Med. 1989;110:859–66.CrossRefGoogle Scholar
  51. 51.
    Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation. 1999;100(10):1043–9.CrossRefGoogle Scholar
  52. 52.
    Devereaux PJ, Goldman L, Cook DJ, Gilbert K, Leslie K, Guyatt GH. Perioperative cardiac events in patients undergoing noncardiac surgery: a review of the magnitude of the problem, the pathophysiology of the events and methods to estimate and communicate risk. CMAJ. 2005;173:627–34.CrossRefPubMedPubMedCentralGoogle Scholar
  53. 53.
    Karnath BM. Preoperative cardiac risk assessment. Am Fam Physician. 2002;66(10):1889–97.PubMedGoogle Scholar
  54. 54.
    Goldman L, Caldera DL, Nussbaum SR, Southwick FS, Krogstad D, Murray B, et al. Multifactorial index of cardiac risk in noncardiac surgical procedures. N Engl J Med. 1977;297:845–50.CrossRefGoogle Scholar
  55. 55.
    Detsky AS, Abrams HB, McLaughlin JR, Drucker DJ, Sasson Z, Johnston N, et al. Predicting cardiac complications in patients undergoing non-cardiac surgery. J Gen Intern Med. 1986;1:211–9.CrossRefGoogle Scholar
  56. 56.
    Palda VA, Detsky AS. Guidelines for assessing and managing the perioperative risk from coronary artery disease associated with major noncardiac surgery. American College of Physicians Position Paper. Ann Intern Med. 1997;127:309–12.CrossRefGoogle Scholar
  57. 57.
    Cohn SL, Fleisher LA. Evaluation of cardiac risk prior to noncardiac surgery. In: UpToDate. Waltham. Accessed 28 May 2018.Google Scholar
  58. 58.
    Eagle KA, Berger PB, Calkins H. ACC/AHA guideline update for perioperative cardiovascular evaluation for noncardiac surgery—executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1996 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery). J Am Coll Cardiol. 2002;39(3):542–53.CrossRefGoogle Scholar
  59. 59.
    Girish M, Trayner E, Dammann O, Pinto-Plata V, Celli B. Symptom-limited stair climbing as a predictor of postoperative cardiopulmonary complications after high risk surgery. Chest. 2001;120(4):1147–51.CrossRefGoogle Scholar
  60. 60.
    Reilly DF, McNeely MJ, Doerner D, Greenberg DL, Staiger TO, Geist MJ, et al. Self-reported exercise tolerance and the risk of serious perioperative complications. Arch Intern Med. 1999;159(18):2185–92.CrossRefGoogle Scholar
  61. 61.
    Ford MK, Beattie WS, Wijeysundera DN. Systematic review: prediction of perioperative cardiac complications and mortality by the revised cardiac risk index. Ann Intern Med. 2010;152(1):26.CrossRefGoogle Scholar
  62. 62.
    Fleisher LA, Eagle KA. Lowering cardiac risk in noncardiac surgery. NEJM. 2001;345:1677–82.CrossRefGoogle Scholar
  63. 63.
    ACC/AHA task force report. Special report: guidelines for perioperative cardiovascular evaluation for noncardiac surgery. Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Perioperative Cardiovascular Evaluation for Noncardiac Surgery). J Cardiothorac Vasc Anesth. 1996;10(4):540–52.CrossRefGoogle Scholar
  64. 64.
    Auerbach A, Goldman L. Assessing and reducing the cardiac risk of noncardiac surgery. Circulation. 2006;113:1361–76.CrossRefGoogle Scholar
  65. 65.
    Perioperative Cardiac Risk Calculator. Website: http://www.surgicalriskcalculator.com/miorcardiacarrest. Accessed 25 Jan 2015.
  66. 66.
    Fleisher LA, Fleischmann KE, Auerbach AD, Barnason SA, Beckman JA, Bozkurt B, et al. 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association task force on practice guidelines. J Am Coll Cardiol. 2014;64(22):e77–137.CrossRefGoogle Scholar
  67. 67.
    Lawrence VA, Hilsenbeck SG, Mulrow CD, Dhanda R, Sapp J, Page CP. Incidence and hospital stay for cardiac and pulmonary complications after abdominal surgery. J Gen Intern Med. 1995;10(12):671.CrossRefGoogle Scholar
  68. 68.
    Gupta H, Gupta PK, Schuller D, Fang X, Miller WJ, Modrykamien A, et al. Development and validation of a risk calculator for predicting postoperative pneumonia. Mayo Clin Proc. 2013;88(11):1241–9.CrossRefGoogle Scholar
  69. 69.
    Epstein SK, Faling LJ, Daly BD, Celli BR. Predicting complications after pulmonary resection. Preoperative exercise testing vs a multifactorial cardiopulmonary risk index. Chest. 1993;104(3):694–700.CrossRefGoogle Scholar
  70. 70.
    Melendez JA, Carlon VA. Cardiopulmonary risk index does not predict complications after thoracic surgery. Chest. 1998;114(1):69–75.CrossRefGoogle Scholar
  71. 71.
    Arozullah AM, Daley J, Henderson WG, Khuri SF. Multifactorial risk index for predicting postoperative respiratory failure in men after major noncardiac surgery. The National Veterans Administration Surgical Quality Improvement Program. Ann Surg. 2000;232(2):242–53.CrossRefPubMedPubMedCentralGoogle Scholar
  72. 72.
    Canet J, Gallart L, Gomar C, Paluzie G, Vallès J, Castillo J, ARISCAT Group, et al. Prediction of postoperative pulmonary complications in a population-based surgical cohort. Anesthesiology. 2010;113(6):1338–50.CrossRefGoogle Scholar
  73. 73.
    Arozullah AM, Khuri SF, Henderson WG, Daley J, Participants in the National Veterans Affairs Surgical Quality Improvement Program. Development and validation of a multifactorial risk index for predicting postoperative pneumonia after major noncardiac surgery. Ann Intern Med. 2001;135(10):847–57.CrossRefGoogle Scholar
  74. 74.
    Kaw R, Pasupuleti V, Walker E, Ramaswamy A, Foldvary-Schafer N. Postoperative complications in patients with obstructive sleep apnea. Chest. 2012;141(2):436–41.CrossRefGoogle Scholar
  75. 75.
    Hai F, Porhomayon J, Vermont L. Postoperative complications in patients with obstructive sleep apnea: a meta-analysis. J Clin Anesth. 2014;26(8):591–600.CrossRefGoogle Scholar
  76. 76.
    Finkel KJ, Searleman AC, Tymkew H, Tanaka CY, Saager L, Safer-Zadeh E, et al. Prevalence of undiagnosed obstructive sleep apnea among adult surgical patients in an academic medical center. Sleep Med. 2009;10(7):753–8.CrossRefPubMedPubMedCentralGoogle Scholar
  77. 77.
    Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131(7):485–91.CrossRefGoogle Scholar
  78. 78.
    Chung F, Yegneswaran B, Liao P, Chung SA, Vairavanathan S, Islam S, et al. Validation of the Berlin questionnaire and American Society of Anesthesiologists checklist as screening tools for obstructive sleep apnea in surgical patients. Anesthesiology. 2008;108(5):822–30.CrossRefGoogle Scholar
  79. 79.
    Chung F, Yegneswaran B, Liao P, Chung SA, Vairavanathan S, Islam S, et al. STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology. 2008;108(5):812–21.CrossRefGoogle Scholar
  80. 80.
    Chung F, Chau E, Yang Y, Liao P, Hall R, Mokhlesi B. Serum bicarbonate level improves specificity of STOP-Bang screening for obstructive sleep apnea. Chest. 2013;143(5):1284–93.CrossRefPubMedPubMedCentralGoogle Scholar
  81. 81.
    American Society of Anesthesiologists Task Force on Perioperative Management of patients with obstructive sleep apnea. Practice guidelines for the perioperative management of patients with obstructive sleep apnea: an updated report by the American Society of Anesthesiologists Task Force on Perioperative Management of patients with obstructive sleep apnea. Anesthesiology. 2014;120(2):268–86.CrossRefGoogle Scholar
  82. 82.
    Adesanya AO, Lee W, Greilich NB, Joshi GP. Perioperative management of obstructive sleep apnea. Chest. 2010;138(6):1489–98.CrossRefGoogle Scholar
  83. 83.
    Friedman LS. Preoperative evaluation of the patient with liver disease. In: Schiff ER, Maddrey WC, Sorrell MF, editors. Schiff’s diseases of the liver. 11th ed. Oxford: Wiley-Blackwell; 2011.Google Scholar
  84. 84.
    Jackson FC, Christophersen EB, Peternel WW, Kirimli B. Preoperative management of patients with liver disease. Surg Clin North Am. 1968;48:907–30.CrossRefGoogle Scholar
  85. 85.
    Child CG, Turcotte JG. Surgery and portal hypertension. Major Probl Clin Surg. 1964;1:1–85.PubMedGoogle Scholar
  86. 86.
    Pugh RN, Murray-Lyon IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for bleeding oesophageal varices. Br J Surg. 1973;60(8):646–9.CrossRefGoogle Scholar
  87. 87.
    Garrison RN, Cryer HM, Howard DA, Polk HC Jr. Clarification of risk factors for abdominal operations in patients with hepatic cirrhosis. Ann Surg. 1984;199(6):648–55.CrossRefPubMedPubMedCentralGoogle Scholar
  88. 88.
    Mansour A, Watson W, Shayani V, Pickleman J. Abdominal operations in patients with cirrhosis: still a major challenge. Surgery. 1997;122(4):730–5.CrossRefGoogle Scholar
  89. 89.
    Conn HO. A peek at the Child-Turcotte classification. Hepatology. 1981;1(6):673–6.CrossRefGoogle Scholar
  90. 90.
    Malinchoc M, Kamath PS, Gordon FD, Peine CJ, Rank J, ter Borg PC. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology. 2000;31:864–71.CrossRefGoogle Scholar
  91. 91.
    Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, et al. A model to predict survival in patients with end stage liver disease. Hepatology. 2001;33:464–70.CrossRefGoogle Scholar
  92. 92.
    Martin AP, Bartels M, Hauss J, Fangmann J. Overview of the MELD score and the UNOS adult liver allocation system. Transplant Proc. 2007;39:3169–74.CrossRefGoogle Scholar
  93. 93.
    Northup PG, Wanamaker RC, Lee VD, Adams RB, Berg CL. Model for End-stage Liver Disease (MELD) predicts nontransplant surgical mortality in patients with cirrhosis. Ann Surg. 2005;242(2):244–51.CrossRefPubMedPubMedCentralGoogle Scholar
  94. 94.
    Pannucci CJ, Laird S, Dimick JB, Campbell DA, Henke PK. A validated risk model to predict 90-day VTE events in postsurgical patients. Chest. 2014;145(3):567–73.CrossRefGoogle Scholar
  95. 95.
    Geerts WH, Heit JA, Clagett GP, Pineo GF, Colwell CW, Anderson FA Jr, et al. Prevention of venous thromboembolism. Chest. 2001;119:132S–75S.CrossRefGoogle Scholar
  96. 96.
    Kumar DR, Hanlin E, Glurich I, Mazza JJ, Yale SH. Virchow’s contribution to the understanding of thrombosis and cellular biology. Clin Med Res. 2010;8:168–72.CrossRefPubMedPubMedCentralGoogle Scholar
  97. 97.
    Nicolaides AN, Irving D. Clinical factors and the risk of deep venous thrombosis. In: Nicolaides AN, editor. Thromboembolism. Baltimore: University Park Press; 1975. p. 193–204.CrossRefGoogle Scholar
  98. 98.
    Janssen HF, Schachner J, Hubbard J, Hartman JT. The risk of deep venous thrombosis: a computerized epidemiologic approach. Surgery. 1987;101(2):205–12.PubMedGoogle Scholar
  99. 99.
    Salzman EW, Hirsh J. Prevention of venous thromboembolism. In: Coleman RW, Hirsh J, Marder V, et al., editors. Hemostasis and thrombosis: basic principles and clinical practice. Philadelphia: Lippincott; 1982. p. 986.Google Scholar
  100. 100.
    Caprini JA, Arcelus JI, Hasty JK, Tamhane AC, Fabrega F. Clinical assessment of venous thromboembolic risk in surgical patients. Semin Thromb Hemost. 1991;17(Suppl 3):304–12.PubMedGoogle Scholar
  101. 101.
    Caprini JA. Thrombosis risk assessment as a guide to quality patient care. Dis Mon. 2005;51:70–8.CrossRefGoogle Scholar
  102. 102.
    Bahl V, Hu HM, Henke PK, Wakefield TW, Campbell DA Jr, Caprini JA. A validation study of a retrospective venous thromboembolism risk scoring method. Ann Surg. 2010;251(2):344–50.CrossRefGoogle Scholar
  103. 103.
    Kucher N, Koo S, Quiroz R, Cooper JM, Paterno MD, Soukonnikov B, et al. Electronic alerts to prevent venous thromboembolism among hospitalized patients. N Engl J Med. 2005;352:969–77.CrossRefGoogle Scholar
  104. 104.
    Barbar S, Noventa F, Rossetto V, Ferrari A, Brandolin B, Perlati M, et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010;8:2450–547.CrossRefGoogle Scholar
  105. 105.
    Rogers SO, Kilaru RK, Hosokawa P, Henderson WG, Zinner MJ, Khuri SF. Multivariable predictors of postoperative venous thromboembolic events after general and vascular surgery: results from the patient safety in surgery study. J Am Coll Surg. 2007;204(6):1211–21.CrossRefGoogle Scholar
  106. 106.
    Liu X, Liu C, Chen X, Wu W, Lu G. Comparison between Caprini and Padua risk assessment models for hospitalized medical patients at risk for venous thromboembolism: a retrospective study. Interact Cardiovasc Thorac Surg. 2016;23(4):538–43.CrossRefGoogle Scholar
  107. 107.
    Falke-Ytter Y, Francis CW, Johanson NA, Curley C, Dahl OE, Schulman S, et al. Prevention of VTE in orthopedic surgery patients. Antithrombotic therapy and prevention of thrombosis, 9th Ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2012;141(2 Suppl):e278S–325S.CrossRefGoogle Scholar
  108. 108.
    Rosner MH, Okusa MD. Acute kidney injury associated with cardiac surgery. Clin J Am Soc Nephrol. 2006;1:19–32.CrossRefGoogle Scholar
  109. 109.
    Kheterpal S, Tremper KK, Englesbe MJ, O’Reilly M, Shanks AM, Fetterman DM, et al. Predictors of postoperative acute renal failure after noncardiac surgery in patients with previously normal renal function. Anesthesiology. 2007;107:892–902.CrossRefGoogle Scholar
  110. 110.
    Kheterpal S, Tremper KK, Heung M, Rosenberg AL, Englesbe M, Shanks AM, et al. Development and validation of an acute kidney injury risk index for patients undergoing general surgery. Anesthesiology. 2009;110(3):505–15.CrossRefGoogle Scholar
  111. 111.
    Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P, Acute Dialysis Quality Initiative workgroup. Acute renal failure – definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative Group. Crit Care. 2004;8(4):R204–12.CrossRefPubMedPubMedCentralGoogle Scholar
  112. 112.
    KDIGO. Clinical practice guidelines for acute kidney injury: AKI definition. Kidney Int Suppl. 2012;2(1):19–36.CrossRefGoogle Scholar
  113. 113.
    Bihorac A, Brennan M, Ozragat-Baslanti T, Bozorgmehri S, Efron PA, Moore FA, et al. National surgical quality improvement program underestimates the risk associated with mild and moderate postoperative acute kidney injury. Crit Care Med. 2013;41(11):2570–83.CrossRefGoogle Scholar
  114. 114.
    Wynd CA, Wallace M, Smith KM. Factors influencing post-operative urinary retention following orthopaedic surgical procedures. Orthop Nurs. 1996;15:43–50.CrossRefGoogle Scholar
  115. 115.
    Petersen MS, Collins DN, Selakovich WG, Finkbeiner AE. Post-operative urinary retention associated with total hip and total knee arthroplasties. Clin Orthop. 1991;269:102–8.Google Scholar
  116. 116.
    Lingaraj K, Ruben M, Cha YH, Das SD. Identification of risk factors for urinary retention following total knee arthroplasty: a Singapore hospital experience. Singapore Med J. 2007;48(3):213–6.PubMedGoogle Scholar
  117. 117.
    Gedney JA, Liu EHC. Side-effects of epidural infusions of opioid bupivacaine mixtures. Anesthesia. 1998;53:1148–55.CrossRefGoogle Scholar
  118. 118.
    Balderi T, Mistraletti G, D’Angelo E, Carli F. Incidence of postoperative urinary retention (POUR) after joint arthroplasty and management using ultrasound-guided bladder catheterization. Minerva Anestesiol. 2011;77(11):1050–7.PubMedGoogle Scholar
  119. 119.
    Sung KH, Lee KM, Chung CY, Kwon SS, Lee SY, Ban YS, et al. What are the risk factors associated with urinary retention after orthopaedic surgery? Biomed Res Int. 2015;2015:1–5.Google Scholar
  120. 120.
    Barry M, Fowler FJ, O’Leary MP, Bruskewitz RC, Holtgrewe HL, Mebust WK, et al. The American Urological Association symptom index for benign prostatic hyperplasia. The Measurement Committee of the American Urological Association. J Urol. 1992;148(5):1549–57.CrossRefGoogle Scholar
  121. 121.
    Elkhodair S, Parmar HV, Vanwaeyenbergh J. The role of the IPSS (International Prostate Symptoms Score) in predicting acute retention of urine in patients undergoing major joint arthroplasty. Surgeon. 2005;3(2):63–5.CrossRefGoogle Scholar
  122. 122.
    Cronin JJ, Shannon FJ, Bale E, Quinlan W. Prediction of post-operative urinary retention in hip and knee arthroplasty in a male population. Eur J Orthop Surg Traumatol. 2007;17:47–50.CrossRefGoogle Scholar
  123. 123.
    Kinnunen EM, Juvonen T, Airaksinen KE. Clinical significance and determinants of the universal definition of perioperative bleeding classification in patients undergoing coronary artery bypass surgery. J Thorac Cardiovasc Surg. 2014;148(4):1640–6.CrossRefGoogle Scholar
  124. 124.
    Greiff G, Pleym H, Stenseth R, et al. Prediction of bleeding after cardiac surgery: comparison of model performances: a prospective observational study. J Cardiothorac Vasc Anesth. 2015;29(2):311–9.Google Scholar
  125. 125.
    Gombotz H, Knotzer H. Preoperative identification of patients with increased risk for perioperative bleeding. Curr Opin Anaesthesiol. 2013;26(1):82–90.CrossRefGoogle Scholar
  126. 126.
    Vuylsteke A, Pagel C, Gerrard C. The Papworth Bleeding Risk Score: a stratification scheme for identifying cardiac surgery patients at risk of excessive early postoperative bleeding. Eur J Cardiothorac Surg. 2011;39(6):924–30.CrossRefGoogle Scholar
  127. 127.
    Koene RJ, Win S, Naksuk N, Adatya SN, Rosenbaum AN, John R, et al. HAS-BLED and CHA2DS2-VASc scores as predictors of bleeding and thrombotic risk after continuous –flow ventricular assist device implantation. J Card Fail. 2014;20(11):800–7.CrossRefGoogle Scholar
  128. 128.
    Knaus WA, Draper EA, Wagner DP, Zimmerman JE. Apache II: a severity of disease classification system. Crit Care Med. 1985;13:818–29.CrossRefGoogle Scholar
  129. 129.
    Committee on Standards and Practice Parameters, Apfelbaum JL, Connis RT, Nickinovich DG, American Society of Anesthesiologists Task Force on Preanesthesia Evaluation, Pasternak LR, et al. Practice advisor for preanesthesia evaluation: an updated report by the American Society of Anesthesiologists Task Force on Preanesthesia evaluation. Anesthesiology. 2012;116(3):522–38.CrossRefGoogle Scholar
  130. 130.
    Association of Anesthetists of Great Britain and Ireland Guidelines. AAGBI safety guideline. Pre-operative assessment and patient preparation. The role of the anesthetist. Website: http://www.aagbi.org/sites/default/files/preop2010.pdf. Accessed 5 Apr 2015.
  131. 131.
    Chee YL, Crawford JC, Watson HG, Greaves M. Guidelines on the assessment of bleeding risk prior to surgery or invasive procedures. British Committee for Standards in Haematology. Br J Haematol. 2008;140(5):496–504.CrossRefGoogle Scholar
  132. 132.
    Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, et al. A brief self-administered questionnaire to determine functional capacity (the DUKE Activity Status Index). Am J Cardiol. 1989;64:651–4.CrossRefGoogle Scholar
  133. 133.
    Challand C, Struthers R, Sneyd JR, Erasmus PD, Mellor N, Hosie KB, et al. Randomized controlled trial of intraoperative goal-directed fluid therapy in aerobically fit and unfit patients having major colorectal surgery. Br J Anaesth. 2012;108:53–62.CrossRefGoogle Scholar
  134. 134.
    Gurgel ST, do Nascimento P. Maintaining tissue perfusion in high-risk surgical patients: a systematic review of randomized clinical trials. Anesth Analg. 2011;112:1384–91.CrossRefGoogle Scholar
  135. 135.
    Hamilton MA, Cecconi M, Rhodes A. A systematic review and meta-analysis on the use of preemptive hemodynamic intervention to improve postoperative outcomes in moderate and high-risk surgical patients. Anesth Analg. 2011;112:1392–402.CrossRefGoogle Scholar
  136. 136.
    Donati A, Loggi S, Preiser JC, Orsetti G, Münch C, Gabbanelli V, et al. Goal-directed intraoperative therapy reduces morbidity and length of hospital stay in high-risk surgical patients. Chest. 2007;132:1817–24.CrossRefGoogle Scholar
  137. 137.
    Skeoch S, Bruce IN. Atherosclerosis in rheumatoid arthritis: is it all about inflammation? Nat Rev Rheumatol. 2015;11:390–400.CrossRefGoogle Scholar
  138. 138.
    Grennan DM, Gray J, Loudon J, Fear S. Methotrexate and early postoperative complications in patients with rheumatoid arthritis undergoing elective orthopaedic surgery. Ann Rheum Dis. 2001;60(3):214–7.CrossRefPubMedPubMedCentralGoogle Scholar
  139. 139.
    Schouten O, Boersma E, Hoeks S, Benner R, van Urk H, van Sambeek MR, et al. Fluvastatin and perioperative events in patients undergoing vascular surgery. NEJM. 2009;361:980–9.CrossRefGoogle Scholar
  140. 140.
    Durazzo AE, Machado FS, Ikeoka DT, De Bernoche C, Monachini MC, Puech-Leão P, et al. Reduction in cardiovascular events after vascular surgery with atorvastatin: a randomized trial. J Vasc Surg. 2004;39:967–75.CrossRefGoogle Scholar
  141. 141.
    Hindler K, Shaw AD, Samuels J, Fulton S, Collard CD, Riedel B. Improved post-operative outcomes associated with preoperative statin therapy. Anesthesiology. 2006;105:1260–72.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Chad M. Craig
    • 1
    • 2
    • 3
    Email author
  • Matthew L. Buchalter
    • 1
    • 2
  • Craig Basman
    • 4
  • Emily S. Wang
    • 5
    • 6
  • Michael Shoffeitt
    • 6
  • C. Ronald MacKenzie
    • 7
  1. 1.Department of Medicine, Division of Perioperative MedicineHospital for Special SurgeryNew YorkUSA
  2. 2.Department of MedicineWeill Cornell MedicineNew YorkUSA
  3. 3.Department of Orthopedics, Division of Spine SurgeryHospital for Special SurgeryNew YorkUSA
  4. 4.Department of CardiologyLenox Hill HospitalNew YorkUSA
  5. 5.South Texas Veterans Health Care System, Department of MedicineSan AntonioUSA
  6. 6.University of Texas Health San Antonio, Department of Medicine/Division of General and Hospital MedicineSan AntonioUSA
  7. 7.Departments of Rheumatology and Medicine the Hospital for Special Surgery Weill Cornell MedicineNew YorkUSA

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