Global patient outcomes after elective surgery: prospective cohort study in 27 low-, middle- and high-income countries

International Surgical Outcomes Study group

Abstract

Background: As global initiatives increase patient access to surgical treatments, there remains a need to understand the adverse effects of surgery and define appropriate levels of perioperative care.

Methods: We designed a prospective international 7-day cohort study of outcomes following elective adult inpatient surgery in 27 countries. The primary outcome was in-hospital complications. Secondary outcomes were death following a complication (failure to rescue) and death in hospital. Process measures were admission to critical care immediately after surgery or to treat a complication and duration of hospital stay. A single definition of critical care was used for all countries.

Results: A total of 474 hospitals in 19 high-, 7 middle- and 1 low-income country were included in the primary analysis. Data included 44 814 patients with a median hospital stay of 4 (range 2-7) days. A total of 7508 patients (16.8%) developed one or more postoperative complication and 207 died (0.5%). The overall mortality among patients who developed complications was 2.8%. Mortality following complications ranged from 2.4% for pulmonary embolism to 43.9% for cardiac arrest. A total of 4360 (9.7%) patients were admitted to a critical care unit as routine immediately after surgery, of whom 2198 (50.4%) developed a complication, with 105 (2.4%) deaths. A total of 1233 patients (16.4%) were admitted to a critical care unit to treat complications, with 119 (9.7%) deaths. Despite lower baseline risk, outcomes were similar in low- and middle-income compared with high-income countries.

Conclusions: Poor patient outcomes are common after inpatient surgery. Global initiatives to increase access to surgical treatments should also address the need for safe perioperative care.

Study registration: ISRCTN51817007

Keywords: cohort studies; critical care/utilisation; operative/mortality; postoperative care/methods; postoperative care/statistics and numerical data; surgery; surgical procedures.

© The Author 2016. Published by Oxford University Press on behalf of the British Journal of Anaesthesia.

Figures

Fig 1.
Fig 1.
Countries participating in the International Surgical Outcomes Study. Blue: countries included in the primary analysis. Green: countries with

Fig 2.

Patients, hospitals, and countries excluded…

Fig 2.

Patients, hospitals, and countries excluded from the study.

Fig 2.
Patients, hospitals, and countries excluded from the study.

Fig 3.

Adjusted risk (odds ratio) of…

Fig 3.

Adjusted risk (odds ratio) of complications with 95% confidence intervals and in-hospital mortality…

Fig 3.
Adjusted risk (odds ratio) of complications with 95% confidence intervals and in-hospital mortality in different surgical procedure categories.
Fig 2.
Fig 2.
Patients, hospitals, and countries excluded from the study.
Fig 3.
Fig 3.
Adjusted risk (odds ratio) of complications with 95% confidence intervals and in-hospital mortality in different surgical procedure categories.

References

    1. Weiser TG, Regenbogen SE, Thompson KD, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet 2008; 372: 139–44
    1. Weiser TG, Haynes AB, Molina G, et al. Estimate of the global volume of surgery in 2012: an assessment supporting improved health outcomes. Lancet 2015; 385: S11
    1. Alkire BC, Raykar NP, Shrime MG, et al. Global access to surgical care: a modelling study. Lancet Glob Health 2015; 3: e316–23
    1. The Lancet Commission on Global Surgery. 2015. Available from (accessed 25th September 2016)
    1. Rose J, Weiser TG, Hider P, Wilson L, Gruen RL, Bickler SW. Estimated need for surgery worldwide based on prevalence of diseases: a modelling strategy for the WHO Global Health Estimate. Lancet Glob Health 2015; 3: S13–20
    1. Scally CP, Thumma JR, Birkmeyer JD, Dimick JB. Impact of surgical quality improvement on payments in Medicare patients. Ann Surg 2014; 262: 249–52
    1. Head J, Ferrie JE, Alexanderson K, et al. Diagnosis-specific sickness absence as a predictor of mortality: the Whitehall II prospective cohort study. BMJ 2008; 337: a1469.
    1. Pearse RM, Holt PJ, Grocott MP. Managing perioperative risk in patients undergoing elective non-cardiac surgery. BMJ 2011; 343: d5759.
    1. Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med 2009; 361: 1368–75
    1. Khuri SF, Daley J, Henderson W, et al. The Department of Veterans Affairs’ NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program. Ann Surg 1998; 228: 491–507
    1. Pearse RM, Moreno RP, Bauer P, et al. Mortality after surgery in Europe: a 7 day cohort study. Lancet 2012; 380: 1059–65
    1. Findlay G, Goodwin A, Protopappa K, Smith N, Mason M. Knowing the Risk: A Review of the Peri-operative Care of Surgical Patients London: National Confidential Enquiry into Patient Outcome and Death, 2011
    1. Jhanji S, Thomas B, Ely A, Watson D, Hinds CJ, Pearse RM. Mortality and utilisation of critical care resources amongst high-risk surgical patients in a large NHS trust. Anaesthesia 2008; 63: 695–700
    1. Pearse RM, Harrison DA, James P, et al. Identification and characterisation of the high-risk surgical population in the United Kingdom. Crit Care 2006; 10: R81.
    1. Glance LG, Lustik SJ, Hannan EL, et al. The Surgical Mortality Probability Model: derivation and validation of a simple risk prediction rule for noncardiac surgery. Ann Surg 2012; 255: 696–702
    1. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med 2009; 360: 1418–28
    1. Noordzij PG, Poldermans D, Schouten O, Bax JJ, Schreiner FA, Boersma E. Postoperative mortality in The Netherlands: a population-based analysis of surgery-specific risk in adults. Anesthesiology 2010; 112: 1105–15
    1. Yu PC, Calderaro D, Gualandro DM, et al. Non-cardiac surgery in developing countries: epidemiological aspects and economical opportunities—the case of Brazil. PLoS One 2010; 5: e10607.
    1. Jammer I, Wickboldt N, Sander M, et al. Standards for definitions and use of outcome measures for clinical effectiveness research in perioperative medicine: European Perioperative Clinical Outcome (EPCO) definitions: a statement from the ESA-ESICM joint taskforce on perioperative outcome measures. Eur J Anaesthesiol 2015; 32: 88–105
    1. Marrie RA, Dawson NV, Garland A. Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables. J Clin Epidemiol 2009; 62: 511–7.e1
    1. World Bank open data. Available from (accessed 25th September 2016)
    1. GlobalSurg Collaborative. Mortality of emergency abdominal surgery in high-, middle- and low-income countries. Br J Surg 2016; 103: 971–88
    1. Khuri SF, Henderson WG, DePalma RG, et al. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg 2005; 242: 326–41
    1. Gillies MA, Power GS, Harrison DA, et al. Regional variation in critical care provision and outcome after high-risk surgery. Intensive Care Med 2015; 41: 1809–16
    1. Ozdemir BA, Sinha S, Karthikesalingam A, et al. Mortality of emergency general surgical patients and associations with hospital structures and processes. Br J Anaesth 2016; 116: 54–62
    1. Wunsch H, Gershengorn HB, Cooke CR, et al. Use of intensive care services for Medicare beneficiaries undergoing major surgical procedures. Anesthesiology 2016; 124: 899–907
    1. Gillies MA, Pearse RM. Intensive care after high-risk surgery: what’s in a name? Anesthesiology 2016; 124: 761–2
    1. Silber JH, Rosenbaum PR, Schwartz JS, Ross RN, Williams SV. Evaluation of the complication rate as a measure of quality of care in coronary artery bypass graft surgery. JAMA 1995; 274: 317–23
    1. Silber JH, Rosenbaum PR, Williams SV, Ross RN, Schwartz JS. The relationship between choice of outcome measure and hospital rank in general surgical procedures: implications for quality assessment. Int J Qual Health Care 1997; 9: 193–200
    1. Silber JH, Williams SV, Krakauer H, Schwartz JS. Hospital and patient characteristics associated with death after surgery. A study of adverse occurrence and failure to rescue. Med Care 1992; 30: 615–29
    1. Sinha S, Ata Ozdemir B, Khalid U, et al. Failure-to-rescue and interprovider comparisons after elective abdominal aortic aneurysm repair. Br J Surg 2014; 101: 1541–50
    1. Jammer I, Ahmad T, Aldecoa C, et al. Point prevalence of surgical checklist use in Europe: relationship with hospital mortality. Br J Anaesth 2015; 114: 801–7

Source: PubMed

3
S'abonner