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The SF-36 and 6-Minute Walk Test are Significant Predictors of Complications After Major Surgery

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Abstract

Background

Major surgeries are associated with postoperative morbidity and mortality. Current preoperative evaluation fails to identify patients at increased risk of postoperative complications. This study is aimed to determine whether the Short Form-36 health survey (SF-36) and the 6-minute walk test (6-MWT) are useful predictors of postoperative complications after major surgery.

Methods

All patients scheduled to undergo major surgery were eligible for the study. Major surgeries include patients undergoing thoracotomy, sternotomy, or upper abdominal laparotomy. The SF-36 health survey and 6-MWT were administered prior to surgery. Spirometry and other preoperative testing, ordered by the surgeon, like echocardiography were included in the study. Patients were then followed-up for postoperative complications for 30 days.

Results

One-hundred and seventeen subjects undergoing major surgery were recruited to the study. The mean age was 58 years and 66 (56.4 %) were male. Physical Functioning as a component of the SF-36 positively correlated with decreased length of hospital stay (LOS). The 6-MWT had a negative correlation with LOS (p < 0.0001) and with severity of postoperative complications (p < 0.0001). Spirometry and echocardiography did not correlate with LOS or grade of complications.

Conclusions

SF-36 (Physical Functioning) and 6-MWT are useful indicators for predicting postoperative complications and LOS.

Condensed abstract

Patients undergoing major surgery answered SF-36 and performed 6-MWT. Physical Functioning as a component of the SF-36 correlated with LOS. The 6-MWT had a negative correlation with LOS and with complication grade. SF-36 and 6-MWT are useful predictors of postoperative complications.

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References

  1. Weiser TG, Regenbogen SE, Thompson KD, Haynes AB, Lipsitz SR, Berry WR, Gawande AA (2008) An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet 372:139–144

    Article  PubMed  Google Scholar 

  2. Lawrence VA, Hilsenbeck SG, Mulrow CD, Dhanda R, Sapp J, Page CP (1995) Incidence and hospital stay for cardiac and pulmonary complications after abdominal surgery. J Gen Intern Med 10:671–678

    Article  CAS  PubMed  Google Scholar 

  3. Ginsberg RJ, Hill LD, Eagan RT, Thomas P, Mountain CF, Deslauriers J et al (1983) Modern thirty-day operative mortality for surgical resections in lung cancer. J Thorac Cardiovasc Surg 86:654–658

    CAS  PubMed  Google Scholar 

  4. Girish M, Trayner E Jr, Dammann O, Pinto-Plata V, Celli B (2001) Symptom-limited stair climbing as a predictor of postoperative cardiopulmonary complications after high-risk surgery. Chest 120:1147–1151

    Article  CAS  PubMed  Google Scholar 

  5. Chang JK, Calligaro KD, Lombardi JP, Dougherty MJ (2003) Factors that predict prolonged length of stay after aortic surgery. J Vasc Surg 38:335–339

    Article  PubMed  Google Scholar 

  6. Rasekaba T, Lee AL, Naughton MT, Williams TJ, Holland AE (2009) The six-minute walk test: a useful metric for the cardiopulmonary patient. Intern Med J 39:495–501

    Article  CAS  PubMed  Google Scholar 

  7. Kiebzak GM, Pierson LM, Campbell M, Cook JW (2002) Use of the SF36 general health status survey to document health-related quality of life in patients with coronary artery disease: effect of disease and response to coronary artery bypass graft surgery. Heart Lung 31:207–213

    Article  PubMed  Google Scholar 

  8. Berwick DM (1991) The double edge of knowledge. JAMA 266:841–842

    Article  CAS  PubMed  Google Scholar 

  9. Brazier JE, Harper R, Jones NM, O’Cathain A, Thomas KJ, Usherwood T et al (1992) Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ 305:160–164

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Cahalin LP, Mathier MA, Semigran MJ, Dec GW, DiSalvo TG (1996) The six-minute walk test predicts peak oxygen uptake and survival in patients with advanced heart failure. Chest 110:325–332

    Article  CAS  PubMed  Google Scholar 

  11. Woo MA, Moser DK, Stevenson LW, Stevenson WG (1997) Six-minute walk test and heart rate variability: lack of association in advanced stages of heart failure. Am J Crit Care 6:348–354

    CAS  PubMed  Google Scholar 

  12. Guyatt GH, Sullivan MJ, Thompson PJ, Fallen EL, Pugsley SO, Taylor DW et al (1985) The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. Can Med Assoc J 132:919–923

    PubMed Central  CAS  PubMed  Google Scholar 

  13. Wise RA, Brown CD (2005) Minimal clinically important differences in the six-minute walk test and the incremental shuttle walking test. COPD 2:125–129

    Article  PubMed  Google Scholar 

  14. ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories (2002) ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med 166:111–117

    Article  Google Scholar 

  15. Borg GA (1982) Psychophysical bases of perceived exertion. Med Sci Sports Exerc 14:377–381

    CAS  PubMed  Google Scholar 

  16. Schiller NB, Shah PM, Crawford M, DeMaria A, Devereux R, Feigenbaum H et al (1989) Recommendations for quantitation of the left ventricle by two-dimensional echocardiography. American Society of Echocardiography Committee on Standards, Subcommittee on Quantitation of Two-Dimensional Echocardiograms. J Am Soc Echocardiogr 2:358–367

    Article  CAS  PubMed  Google Scholar 

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

    Article  PubMed Central  PubMed  Google Scholar 

  18. Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383

    Article  CAS  PubMed  Google Scholar 

  19. Schäfer JH, Maurer A, Jochimsen F, Emde C, Wegscheider K, Arntz HR et al (1990) Outcome prediction models on admission in a medical intensive care unit: do they predict individual outcome? Crit Care Med 18:1111–1118

    Article  PubMed  Google Scholar 

  20. Ryan TA, Rady MY, Bashour CA, Leventhal M, Lytle B, Starr NJ (1997) Predictors of outcome in cardiac surgical patients with prolonged intensive care stay. Chest 112:1035–1042

    Article  CAS  PubMed  Google Scholar 

  21. Asimakopoulos G, Al-Ruzzeh S, Ambler G, Omar RZ, Punjabi P, Amrani M et al (2003) An evaluation of existing risk stratification models as a tool for comparison of surgical performances for coronary artery bypass grafting between institutions. Eur J Cardiothorac Surg 23:935–941

    Article  CAS  PubMed  Google Scholar 

  22. McCarthy MJ Jr, Shroyer AL, Sethi GK, Moritz TE, Henderson WG, Grover FL et al (1995) Self-report measures for assessing treatment outcomes in cardiac surgery patients. Med Care 33:OS76–OS85

    Article  PubMed  Google Scholar 

  23. Matsen FA 3rd, Ziegler DW, DeBartolo SE (1995) Patient self-assessment of health status and function in glenohumeral degenerative joint disease. J Shoulder Elbow Surg 4:345–351

    Article  PubMed  Google Scholar 

  24. Adler DA, Bungay KM, Cynn DJ, Kosinski M (2000) Patient-based health status assessments in an outpatient psychiatry setting. Psychiatr Serv 51:341–348

    Article  CAS  PubMed  Google Scholar 

  25. Arnberger M, Vogt A, Studer P, Inderbitzin D, Pulver C, Röhrig B et al (2009) Evaluation of physical and mental recovery status after elective liver resection. Eur J Anaesthesiol 26:559–565

    Article  PubMed  Google Scholar 

  26. Dronkers JJ, Chorus AM, van Meeteren NL, Hopman-Rock M (2013) The association of pre-operative physical fitness and physical activity with outcome after scheduled major abdominal surgery. Anaesthesia 68:67–73

    Article  CAS  PubMed  Google Scholar 

  27. Holden DA, Rice TW, Stelmach K, Meeker DP (1992) Exercise testing, 6-min walk, and stair climb in the evaluation of patients at major for pulmonary resection. Chest 102:1774–1779

    Article  CAS  PubMed  Google Scholar 

  28. Kertai MD, Klein J, Bax JJ, Poldermans D (2005) Predicting perioperative cardiac risk. Prog Cardiovasc Dis 47:240–257

    Article  PubMed  Google Scholar 

  29. Potyk DK (1994) Cardiac evaluation and risk reduction in patients undergoing major vascular operations. West J Med 161:50–56

    PubMed Central  CAS  PubMed  Google Scholar 

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Funding

This work was funded by the Medical Practice Plan and the University Research Board at the American University of Beirut.

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Corresponding author

Correspondence to Ahmad Husari.

Appendix

Appendix

See Tables 3, 4, and 5 in Appendix.

Table 3 Dimensions of the SF-36 health survey
Table 4 The Borg scale
Table 5 Classification of surgical complications

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Awdeh, H., Kassak, K., Sfeir, P. et al. The SF-36 and 6-Minute Walk Test are Significant Predictors of Complications After Major Surgery. World J Surg 39, 1406–1412 (2015). https://doi.org/10.1007/s00268-015-2961-4

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