{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T15:08:27Z","timestamp":1793286507825,"version":"4.5.0"},"reference-count":74,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Best Practice & Research Clinical Anaesthesiology"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1016\/j.bpa.2020.12.005","type":"journal-article","created":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T03:25:21Z","timestamp":1607397921000},"page":"115-134","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":51,"title":["Scores for preoperative risk evaluation of postoperative mortality"],"prefix":"10.1016","volume":"35","author":[{"given":"Selin","family":"Kivrak","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guy","family":"Haller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.bpa.2020.12.005_bib1","first-page":"1001","article-title":"Preoperative evaluation","volume":"vol. 1","author":"Fisher","year":"2010"},{"key":"10.1016\/j.bpa.2020.12.005_bib2","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1097\/EJA.0000000000000817","article-title":"Pre-operative evaluation of adults undergoing elective noncardiac surgery: updated guideline from the European Society of Anaesthesiology","volume":"35","author":"De Hert","year":"2018","journal-title":"Eur J Anaesthesiol"},{"key":"10.1016\/j.bpa.2020.12.005_bib3","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1097\/00000542-200202000-00037","article-title":"Advisory for preanesthesia evaluation: a report by the American society of Anesthesiologists Task Force on preanesthesia evaluation","volume":"96","author":"Practice","year":"2002","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib4","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1007\/s00268-014-2783-9","article-title":"A\u00a0meta-analysis of the predictive accuracy of postoperative mortality using the American Society of Anesthesiologists' physical status classification system","volume":"39","author":"Koo","year":"2015","journal-title":"World J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib5","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1016\/S0735-1097(03)00836-2","article-title":"Clinical prediction models: are we building better mousetraps?","volume":"42","author":"Liao","year":"2003","journal-title":"J\u00a0Am Coll Cardiol"},{"key":"10.1016\/j.bpa.2020.12.005_bib6","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1055\/s-0035-1567838","article-title":"The practical application of clinical prediction rules: a commentary using case examples in surgical patients with degenerative cervical myelopathy","volume":"5","author":"Tetreault","year":"2015","journal-title":"Global Spine J"},{"key":"10.1016\/j.bpa.2020.12.005_bib7","first-page":"83","article-title":"Comment \u00e9labore-t-on un score clinique, un score de risque ?","volume":"4372","author":"Laporte","year":"2013","journal-title":"J\u00a0Mal Vasc"},{"key":"10.1016\/j.bpa.2020.12.005_bib8","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1186\/s41512-019-0060-y","article-title":"Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature","volume":"3","author":"Cowley","year":"2019","journal-title":"Diagn Progn Res"},{"key":"10.1016\/j.bpa.2020.12.005_bib9","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","article-title":"Assessing the performance of prediction models: a framework for traditional and novel measures","volume":"21","author":"Steyerberg","year":"2010","journal-title":"Epidemiol Camb Mass"},{"key":"10.1016\/j.bpa.2020.12.005_bib10","series-title":"C-statistic: definition, examples, weighting and significance. StatisticshowTo.com: elementary statistics for the rest of us! (Internet)","author":"Glen","year":"2020"},{"key":"10.1016\/j.bpa.2020.12.005_bib11","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1007\/s12630-015-0537-2","article-title":"Predicting outcomes: is there utility in risk scores?","volume":"63","author":"Wijeysundera","year":"2016","journal-title":"Can J Anesth Can Anesth"},{"key":"10.1016\/j.bpa.2020.12.005_bib12","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001744","article-title":"Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist","volume":"11","author":"Moons","year":"2014","journal-title":"PLOS Med"},{"key":"10.1016\/j.bpa.2020.12.005_bib13","series-title":"OCEBM levels of evidence working group\u2217. \u201cThe Oxford levels of evidence 1\u201d. Oxford Centre for Evidence-Based Medicine (Internet)","author":"Phillips","year":"2009"},{"key":"10.1016\/j.bpa.2020.12.005_bib14","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1007\/s00595-013-0707-1","article-title":"Development and validation of the calculation of post-operative risk in emergency surgery (CORES) model","volume":"44","author":"Miyazaki","year":"2014","journal-title":"Surg Today"},{"key":"10.1016\/j.bpa.2020.12.005_bib15","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1097\/ALN.0000000000000972","article-title":"Preoperative score to predict postoperative mortality (POSPOM): derivation and validation","volume":"124","author":"Le Manach","year":"2016","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib16","article-title":"Validation of the preoperative score to predict postoperative mortality (POSPOM) in patients undergoing major emergency abdominal surgery","author":"Juul","year":"2019","journal-title":"Eur J Trauma Emerg Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib17","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.euf.2017.05.003","article-title":"Validation of the preoperative score to predict postoperative mortality in patients undergoing radical cystectomy","volume":"5","author":"Froehner","year":"2019","journal-title":"Eur Urol Focus"},{"key":"10.1016\/j.bpa.2020.12.005_bib18","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.ijsu.2019.12.010","article-title":"Incidence, predictors and validation of risk scores to predict postoperative mortality after noncardiac vascular surgery, a prospective cohort study","volume":"73","author":"Reis","year":"2020","journal-title":"Int J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib19","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1097\/SLA.0000000000001677","article-title":"Surgical risk preoperative assessment system (SURPAS): II. Parsimonious risk models for postoperative adverse outcomes addressing need for laboratory variables and surgeon specialty-specific models","volume":"264","author":"Meguid","year":"2016","journal-title":"Ann Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib20","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1097\/SLA.0000000000001678","article-title":"Surgical risk preoperative assessment system (SURPAS): III. Accurate preoperative prediction of 8 adverse outcomes using 8 predictor variables","volume":"264","author":"Meguid","year":"2016","journal-title":"Ann Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib21","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1186\/s13037-019-0208-2","article-title":"Refining the predictive variables in the \u201csurgical risk preoperative assessment system\u201d (SURPAS): a descriptive analysis","volume":"13","author":"Henderson","year":"2019","journal-title":"Patient Saf Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib22","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1016\/j.amjsurg.2019.07.036","article-title":"Comparison of accuracy of prediction of postoperative mortality and morbidity between a new, parsimonious risk calculator (SURPAS) and the ACS Surgical Risk Calculator","volume":"219","author":"Khaneki","year":"2020","journal-title":"Am J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib23","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1002\/bjs.9638","article-title":"Development and validation of the surgical outcome risk tool (SORT)","volume":"101","author":"Protopapa","year":"2014","journal-title":"Br J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib24","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1002\/bjs.11232","article-title":"National risk prediction model for perioperative mortality in non-cardiac surgery","volume":"106","author":"Campbell","year":"2019","journal-title":"BJS"},{"key":"10.1016\/j.bpa.2020.12.005_bib25","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1046\/j.1365-2168.2002.02080.x","article-title":"The Surgical Risk Scale as an improved tool for risk-adjusted analysis in comparative surgical audit","volume":"89","author":"Sutton","year":"2002","journal-title":"Br J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib26","doi-asserted-by":"crossref","first-page":"1288","DOI":"10.1002\/bjs.5058","article-title":"Comparison of Surgical Risk Score, POSSUM and p-POSSUM in higher-risk surgical patients","volume":"92","author":"Brooks","year":"2005","journal-title":"Br J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib27","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1002\/bjs.5809","article-title":"Comparison of different methods of risk stratification in urgent and emergency surgery","volume":"94","author":"Neary","year":"2007","journal-title":"Br J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib28","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1097\/MLR.0b013e3181589bb6","article-title":"Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases","volume":"46","author":"Escobar","year":"2008","journal-title":"Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib29","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1016\/j.jclinepi.2009.08.020","article-title":"The Kaiser Permanente inpatient risk adjustment methodology was valid in an external patient population","volume":"63","author":"van Walraven","year":"2010","journal-title":"J\u00a0Clin Epidemiol"},{"key":"10.1016\/j.bpa.2020.12.005_bib30","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1186\/1472-6963-11-258","article-title":"The Procedural Index for Mortality Risk (PIMR): an index calculated using administrative data to quantify the independent influence of procedures on risk of hospital death","volume":"11","author":"van Walraven","year":"2011","journal-title":"BMC Health Serv Res"},{"key":"10.1016\/j.bpa.2020.12.005_bib31","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1097\/SLA.0b013e31824b45af","article-title":"The Surgical Mortality Probability Model: derivation and validation of a simple risk prediction rule for noncardiac surgery","volume":"255","author":"Glance","year":"2012","journal-title":"Ann Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib32","first-page":"650","article-title":"Usefulness of pre- and intraoperative risk scores in nonagenarian surgical patients","volume":"34","author":"Fari\u00f1a-Castro","year":"2020","journal-title":"J\u00a0Anesth"},{"key":"10.1016\/j.bpa.2020.12.005_bib33","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1097\/00005650-199801000-00004","article-title":"Comorbidity measures for use with administrative data","volume":"36","author":"Elixhauser","year":"1998","journal-title":"Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib34","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1097\/MLR.0000000000000794","article-title":"Identifying increased risk of readmission and in-hospital mortality using hospital administrative data: the AHRQ elixhauser comorbidity index","volume":"55","author":"Moore","year":"2017","journal-title":"Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib35","doi-asserted-by":"crossref","first-page":"2878","DOI":"10.1007\/s11999-014-3686-7","article-title":"The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery","volume":"472","author":"Menendez","year":"2014","journal-title":"Clin Orthop"},{"key":"10.1016\/j.bpa.2020.12.005_bib36","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1097\/MLR.0000000000000465","article-title":"Comparison of comorbidity scores in predicting surgical outcomes","volume":"54","author":"Mehta","year":"2016","journal-title":"Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib37","first-page":"1130","article-title":"Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10","volume":"43","author":"Quan","year":"2005","journal-title":"Administrative Data: Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib38","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1097\/MLR.0b013e31819432e5","article-title":"A\u00a0modification of the Elixhauser comorbidity measures into a point system for hospital death using administrative data","volume":"47","author":"van Walraven","year":"2009","journal-title":"Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib39","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1097\/00003246-198510000-00009","article-title":"Apache II: a severity of disease classification system","author":"Knaus","year":"1985","journal-title":"Crit Care Med"},{"key":"10.1016\/j.bpa.2020.12.005_bib40","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1080\/11024159950189483","article-title":"Preoperative Apache II and ASA scores in patients having major general surgical operations: prognostic value and potential clinical applications","volume":"165","author":"Goffi","year":"1999","journal-title":"Eur J Surg Acta Chir"},{"key":"10.1016\/j.bpa.2020.12.005_bib41","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1002\/bjs.4274","article-title":"Towards a national clinical minimum data set for general surgery","volume":"90","author":"Prytherch","year":"2003","journal-title":"Br J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib42","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1097\/ALN.0b013e318219d5f9","article-title":"Development and validation of a risk quantification index for 30-day postoperative mortality and morbidity in noncardiac surgical patients","volume":"114","author":"Dalton","year":"2011","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib43","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1097\/ALN.0b013e31829ce6e6","article-title":"Validation of a risk stratification index and risk quantification index for predicting patient outcomes: in-hospital mortality, 30-day mortality, 1-year mortality, and length-of-stay","volume":"119","author":"Sigakis","year":"2013","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib44","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1093\/bja\/aeh210","article-title":"A\u00a0new and feasible model for predicting operative risk","volume":"93","author":"Donati","year":"2004","journal-title":"Br J Anaesth"},{"key":"10.1016\/j.bpa.2020.12.005_bib45","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.jamcollsurg.2013.07.385","article-title":"Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons","volume":"217","author":"Bilimoria","year":"2013","journal-title":"J\u00a0Am Coll Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib46","first-page":"942","article-title":"Predictive performance of the American College of Surgeons universal risk calculator in neurosurgical patients","volume":"128","author":"Vaziri","year":"2018","journal-title":"J\u00a0Neurosurg"},{"key":"10.1016\/j.bpa.2020.12.005_bib47","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1177\/0310057X0903700310","article-title":"Perioperative mortality risk score using pre- and postoperative risk factors in older patients","volume":"37","author":"Story","year":"2009","journal-title":"Anaesth Intensive Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib48","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1161\/01.CIR.100.10.1043","article-title":"Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery","volume":"100","author":"Lee Thomas","year":"1999","journal-title":"Circulation"},{"key":"10.1016\/j.bpa.2020.12.005_bib49","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1097\/00000542-194105000-00004","article-title":"Grading of patients for surgical procedures","volume":"2","author":"Saklad","year":"1941","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib50","first-page":"38","article-title":"Abouleish AE, leib ML, cohen NH. ASA provides examples to each ASA physical status class","volume":"79","year":"2015","journal-title":"ASA Newsl"},{"key":"10.1016\/j.bpa.2020.12.005_bib51","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1093\/bja\/aeu100","article-title":"Reliability of the American Society of Anesthesiologists physical status scale in clinical practice","volume":"113","author":"Sankar","year":"2014","journal-title":"Br J Anaesth"},{"key":"10.1016\/j.bpa.2020.12.005_bib52","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1503\/cmaj.050051","article-title":"A\u00a0global clinical measure of fitness and frailty in elderly people","volume":"173","author":"Rockwood","year":"2005","journal-title":"Can Med Assoc J"},{"key":"10.1016\/j.bpa.2020.12.005_bib53","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.annemergmed.2020.03.028","article-title":"Validation of the clinical frailty scale for prediction of thirty-day mortality in the emergency department","volume":"76","author":"Kaeppeli","year":"2020","journal-title":"Ann Emerg Med"},{"key":"10.1016\/j.bpa.2020.12.005_bib54","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1007\/BF01656409","article-title":"Prognostic index: prediction of operative mortality in geriatric patients by use of stepwise logistic regression analysis","volume":"11","author":"Reiss","year":"1987","journal-title":"World J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib55","first-page":"575","article-title":"[Risk of surgery in geriatric age: prospective evaluation of risk factors]","volume":"69","author":"Leardi","year":"1998","journal-title":"Ann Ital Chir"},{"key":"10.1016\/j.bpa.2020.12.005_bib56","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/0021-9681(87)90171-8","article-title":"A\u00a0new method of classifying prognostic comorbidity in longitudinal studies: development and validation","volume":"40","author":"Charlson","year":"1987","journal-title":"J\u00a0Chron Dis"},{"key":"10.1016\/j.bpa.2020.12.005_bib57","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1093\/aje\/kwq433","article-title":"Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries","volume":"173","author":"Quan","year":"2011","journal-title":"Am J Epidemiol"},{"key":"10.1016\/j.bpa.2020.12.005_bib58","first-page":"1082","article-title":"Outcome-specific Charlson comorbidity indices for predicting poor inpatient outcomes following noncardiac surgery using hospital","volume":"54","author":"Moodley","year":"2016","journal-title":"Administrative Data: Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib59","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1016\/0895-4356(94)90129-5","article-title":"Validation of a combined comorbidity index","volume":"47","author":"Charlson","year":"1994","journal-title":"J\u00a0Clin Epidemiol"},{"key":"10.1016\/j.bpa.2020.12.005_bib60","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1097\/TA.0000000000000457","article-title":"Using the age-adjusted Charlson comorbidity index to predict outcomes in emergency general surgery","volume":"78","author":"St-Louis","year":"2015","journal-title":"J\u00a0Trauma Acute Care Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib61","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1002\/bjs.6808","article-title":"Risk modelling of outcome after general and trauma surgery (the IRIS score)","volume":"97","author":"Liebman","year":"2010","journal-title":"Br J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib62","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/0002-9610(80)90246-9","article-title":"Prognostic nutritional index in gastrointestinal surgery","volume":"139","author":"Buzby","year":"1980","journal-title":"Am J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib63","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/0261-5614(85)90043-3","article-title":"The value of objective measurements to select patients who are malnourished","volume":"4","author":"de Jong","year":"1985","journal-title":"Clin Nutr"},{"key":"10.1016\/j.bpa.2020.12.005_bib64","first-page":"345","article-title":"[Malnutrition in the elderly: the Mini nutritional assessment (MNA)]","volume":"54","author":"Guigoz","year":"1997","journal-title":"Ther Umsch Rev Ther"},{"key":"10.1016\/j.bpa.2020.12.005_bib65","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1177\/014860718701100108","article-title":"What is subjective global assessment of nutritional status?","volume":"11","author":"Detsky","year":"1987","journal-title":"J\u00a0Parenter Enteral Nutr"},{"key":"10.1016\/j.bpa.2020.12.005_bib66","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1007\/s00268-005-0163-1","article-title":"Preoperative nutritional risk assessment in predicting postoperative outcome in patients undergoing major surgery","volume":"30","author":"Kuzu","year":"2006","journal-title":"World J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib67","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1097\/ALN.0000000000003257","article-title":"Accuracy and feasibility of clinically applied frailty instruments before surgery: a systematic review and meta-analysis","volume":"133","author":"Aucoin","year":"2020","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib68","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.amjsurg.2018.04.006","article-title":"Review of risk assessment tools to predict morbidity and mortality in elderly surgical patients","volume":"216","author":"Eamer","year":"2018","journal-title":"Am J Surg"},{"key":"10.1016\/j.bpa.2020.12.005_bib69","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1097\/ALN.0b013e3182a4e94d","article-title":"Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review","volume":"119","author":"Moonesinghe","year":"2013","journal-title":"Anesthesiology"},{"key":"10.1016\/j.bpa.2020.12.005_bib70","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1097\/CORR.0000000000001078","article-title":"How accurate are the surgical risk preoperative assessment system (SURPAS) universal calculators in total joint arthroplasty?","volume":"478","author":"Trickey","year":"2020","journal-title":"Clin Orthop Relat Res"},{"key":"10.1016\/j.bpa.2020.12.005_bib71","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1016\/j.amjmed.2005.01.064","article-title":"Perioperative cardiovascular mortality in noncardiac surgery: validation of the Lee cardiac risk index","volume":"118","author":"Boersma","year":"2005","journal-title":"Am J Med"},{"key":"10.1016\/j.bpa.2020.12.005_bib72","doi-asserted-by":"crossref","first-page":"1210","DOI":"10.1097\/MLR.0b013e3181484347","article-title":"Cross-national comparative performance of three versions of the ICD-10 Charlson index","volume":"45","author":"Sundararajan","year":"2007","journal-title":"Med Care"},{"key":"10.1016\/j.bpa.2020.12.005_bib73","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1093\/ageing\/afy217","article-title":"Frailty predicts mortality in all emergency surgical admissions regardless of age. An observational study","volume":"48","author":"Hewitt","year":"2019","journal-title":"Age Ageing"},{"key":"10.1016\/j.bpa.2020.12.005_bib74","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1097\/SLA.0000000000002967","article-title":"Frailty as a predictor of death or new disability after surgery: a prospective cohort study","volume":"271","author":"McIsaac","year":"2020","journal-title":"Ann Surg"}],"container-title":["Best Practice & Research Clinical Anaesthesiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1521689620301294?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1521689620301294?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T11:30:08Z","timestamp":1776425408000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1521689620301294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":74,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,5]]}},"alternative-id":["S1521689620301294"],"URL":"https:\/\/doi.org\/10.1016\/j.bpa.2020.12.005","relation":{},"ISSN":["1753-3740"],"issn-type":[{"value":"1753-3740","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Scores for preoperative risk evaluation of postoperative mortality","name":"articletitle","label":"Article Title"},{"value":"Best Practice & Research Clinical Anaesthesiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bpa.2020.12.005","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}