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Volumn 72, Issue 12, 2017, Pages 1467-1475

The association between peri-operative acute risk change (ARC) and long-term survival after cardiac surgery

Author keywords

cardiac surgery; outcomes; patient care; quality measures; survival

Indexed keywords

ARITHMETIC; CASE STUDY; DEATH; FEMALE; FOLLOW UP; HEART SURGERY; HUMAN; LONG TERM SURVIVAL; MAJOR CLINICAL STUDY; MALE; NOISE; PATIENT CARE; PATIENT RISK; PERIOPERATIVE PERIOD; POSTOPERATIVE PERIOD; PROPORTIONAL HAZARDS MODEL; SURGICAL MORTALITY; SURGICAL PATIENT; AGED; AUSTRALIA; EPIDEMIOLOGY; FACTUAL DATABASE; MIDDLE AGED; MORTALITY; NEW ZEALAND; POSTOPERATIVE COMPLICATION; PREOPERATIVE PERIOD; PROCEDURES; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SURVIVAL ANALYSIS;

EID: 85023613729     PISSN: 00032409     EISSN: 13652044     Source Type: Journal    
DOI: 10.1111/anae.13967     Document Type: Article
Times cited : (10)

References (26)
  • 1
    • 77958145594 scopus 로고    scopus 로고
    • (accessed 16/05/2017)
    • The Society for Cardiothoracic Surgery in Great Britain & Ireland. Sixth National Adult Cardiac Surgical Database Report. 2008. http://www.scts.org/_userfiles/resources/SixthNACSDreport2008withcovers.pdf (accessed 16/05/2017).
    • (2008) Sixth National Adult Cardiac Surgical Database Report
  • 2
    • 77951298690 scopus 로고    scopus 로고
    • A preoperative risk prediction model for 30-day mortality following cardiac surgery in an Australian cohort
    • Billah B, Reid CM, Shardey GC, Smith JA. A preoperative risk prediction model for 30-day mortality following cardiac surgery in an Australian cohort. European Journal of Cardiothoracic Surgery 2010; 37: 1086–92.
    • (2010) European Journal of Cardiothoracic Surgery , vol.37 , pp. 1086-1092
    • Billah, B.1    Reid, C.M.2    Shardey, G.C.3    Smith, J.A.4
  • 3
    • 33646836763 scopus 로고    scopus 로고
    • What is operative mortality? Defining death in a surgical registry database: a report of the STS Congenital Database Taskforce and the Joint EACTS-STS Congenital Database Committee
    • Jacobs JP, Mavroudis C, Jacobs ML, et al. What is operative mortality? Defining death in a surgical registry database: a report of the STS Congenital Database Taskforce and the Joint EACTS-STS Congenital Database Committee. Annals of Thoracic Surgery 2006; 81: 1937–41.
    • (2006) Annals of Thoracic Surgery , vol.81 , pp. 1937-1941
    • Jacobs, J.P.1    Mavroudis, C.2    Jacobs, M.L.3
  • 5
    • 84913530073 scopus 로고    scopus 로고
    • FOCUS: the Society of Cardiovascular Anesthesiologists’ initiative to improve quality and safety in the cardiovascular operating room
    • Barbeito A, Lau WT, Weitzel N, Abernathy JH, Wahr J, Mark JB. FOCUS: the Society of Cardiovascular Anesthesiologists’ initiative to improve quality and safety in the cardiovascular operating room. Anesthesia and Analgesia 2014; 119: 777–83.
    • (2014) Anesthesia and Analgesia , vol.119 , pp. 777-783
    • Barbeito, A.1    Lau, W.T.2    Weitzel, N.3    Abernathy, J.H.4    Wahr, J.5    Mark, J.B.6
  • 6
    • 84964515148 scopus 로고    scopus 로고
    • Feasibility of report ards for measuring anesthesiologist quality for cardiac surgery
    • Glance LG, Hannan EL, Fleisher LA, et al. Feasibility of report ards for measuring anesthesiologist quality for cardiac surgery. Anesthesia and Analgesia 2016; 122: 1603–13.
    • (2016) Anesthesia and Analgesia , vol.122 , pp. 1603-1613
    • Glance, L.G.1    Hannan, E.L.2    Fleisher, L.A.3
  • 7
    • 77957110094 scopus 로고    scopus 로고
    • Predicting hospital mortality and analysis of long-term survival after major non-cardiac complications in cardiac surgery patients
    • Rahmanian PB, Adams DH, Castillo JG, Carpentier A, Filsoufi F. Predicting hospital mortality and analysis of long-term survival after major non-cardiac complications in cardiac surgery patients. Annals of Thoracic Surgery 2010; 90: 1221–9.
    • (2010) Annals of Thoracic Surgery , vol.90 , pp. 1221-1229
    • Rahmanian, P.B.1    Adams, D.H.2    Castillo, J.G.3    Carpentier, A.4    Filsoufi, F.5
  • 8
    • 84897867976 scopus 로고    scopus 로고
    • Meaningful outcome measures in cardiac surgery
    • Myles PS. Meaningful outcome measures in cardiac surgery. Journal of Extracorporeal Technology 2014; 46: 23–7.
    • (2014) Journal of Extracorporeal Technology , vol.46 , pp. 23-27
    • Myles, P.S.1
  • 10
    • 85027942112 scopus 로고    scopus 로고
    • Risk score for predicting long-term mortality after coronary artery bypass graft surgery
    • Wu C, Camacho FT, Wechsler AS, et al. Risk score for predicting long-term mortality after coronary artery bypass graft surgery. Circulation 2012; 125: 2423–30.
    • (2012) Circulation , vol.125 , pp. 2423-2430
    • Wu, C.1    Camacho, F.T.2    Wechsler, A.S.3
  • 11
    • 84859108520 scopus 로고    scopus 로고
    • Predictors of long-Term survival after coronary artery bypass grafting surgery: results from the Society of Thoracic Surgeons adult cardiac surgery database (The ASCERT Study)
    • Shahian DM, O'Brien SM, Sheng S, et al. Predictors of long-Term survival after coronary artery bypass grafting surgery: results from the Society of Thoracic Surgeons adult cardiac surgery database (The ASCERT Study). Circulation 2012; 125: 1491–500.
    • (2012) Circulation , vol.125 , pp. 1491-1500
    • Shahian, D.M.1    O'Brien, S.M.2    Sheng, S.3
  • 12
    • 84992343703 scopus 로고    scopus 로고
    • Acute risk change (ARC) identifies outlier institutions in perioperative cardiac surgical care when the standardized mortality ratio cannot
    • Coulson TG, Bailey M, Reid CM, et al. Acute risk change (ARC) identifies outlier institutions in perioperative cardiac surgical care when the standardized mortality ratio cannot. British Journal of Anaesthesia 2016; 117: 164–71.
    • (2016) British Journal of Anaesthesia , vol.117 , pp. 164-171
    • Coulson, T.G.1    Bailey, M.2    Reid, C.M.3
  • 13
    • 85033493787 scopus 로고    scopus 로고
    • Acute risk change for cardiothoracic admissions to intensive care: a new measure of quality in cardiac surgery
    • Coulson TG, Bailey M, Reid CM, et al. Acute risk change for cardiothoracic admissions to intensive care: a new measure of quality in cardiac surgery. Journal of Thoracic and Cardiovascular Surgery 2014; 16: 1–8.
    • (2014) Journal of Thoracic and Cardiovascular Surgery , vol.16 , pp. 1-8
    • Coulson, T.G.1    Bailey, M.2    Reid, C.M.3
  • 14
    • 4844222028 scopus 로고    scopus 로고
    • Initial twelve months experience and analysis for 2001–2002 from the Australasian Society of Cardiac and Thoracic Surgeons-Victorian database project
    • Reid CM, Rockell M, Skillington PD, et al. Initial twelve months experience and analysis for 2001–2002 from the Australasian Society of Cardiac and Thoracic Surgeons-Victorian database project. Heart, Lung and Circulation 2004; 13: 291–7.
    • (2004) Heart, Lung and Circulation , vol.13 , pp. 291-297
    • Reid, C.M.1    Rockell, M.2    Skillington, P.D.3
  • 15
    • 33744909371 scopus 로고    scopus 로고
    • Development and implementation of a high-quality clinical database: the Australian and New Zealand Intensive Care Society adult patient database
    • Stow PJ, Hart GK, Higlett T, et al. Development and implementation of a high-quality clinical database: the Australian and New Zealand Intensive Care Society adult patient database. Journal of Critical Care 2006; 13: 133–41.
    • (2006) Journal of Critical Care , vol.13 , pp. 133-141
    • Stow, P.J.1    Hart, G.K.2    Higlett, T.3
  • 17
    • 85061417672 scopus 로고    scopus 로고
    • Long term mortality risk prediction following isolated aortic valve replacement surgery for the Australian population
    • Huq M, Billah B, Reid C. Long term mortality risk prediction following isolated aortic valve replacement surgery for the Australian population. Heart, Lung and Circulation 2013; 22: S238.
    • (2013) Heart, Lung and Circulation , vol.22 , pp. S238
    • Huq, M.1    Billah, B.2    Reid, C.3
  • 18
    • 79958747321 scopus 로고    scopus 로고
    • MatchIt: nonparametric preprocessing for parametric causal inference (version 2.211)
    • Ho DE, Imai K, King G, Stuart EA. MatchIt: nonparametric preprocessing for parametric causal inference (version 2.211). Journal of Statistical Software 2009; 42: 1–27.
    • (2009) Journal of Statistical Software , vol.42 , pp. 1-27
    • Ho, D.E.1    Imai, K.2    King, G.3    Stuart, E.A.4
  • 19
    • 0029959044 scopus 로고    scopus 로고
    • Matching using estimated propensity scores: relating theory to practice
    • Rubin DB, Thomas N. Matching using estimated propensity scores: relating theory to practice. Biometrics 1996; 52: 249–64.
    • (1996) Biometrics , vol.52 , pp. 249-264
    • Rubin, D.B.1    Thomas, N.2
  • 23
    • 84947871303 scopus 로고    scopus 로고
    • Influence of experience and the surgical learning curve on long-term patient outcomes in cardiac surgery
    • Burt BM, El Bardissi AW, Huckman RS, et al. Influence of experience and the surgical learning curve on long-term patient outcomes in cardiac surgery. Journal of Thoracic and Cardiovascular Surgery 2015; 150: 1061–3.
    • (2015) Journal of Thoracic and Cardiovascular Surgery , vol.150 , pp. 1061-1063
    • Burt, B.M.1    El Bardissi, A.W.2    Huckman, R.S.3
  • 26
    • 84988864899 scopus 로고    scopus 로고
    • The Assessment of Risk in Cardiothoracic Intensive Care (ARCtIC): prediction of hospital mortality after admission to cardiothoracic critical care
    • Shahin J, Ferrando-Vivas P, Power GS, et al. The Assessment of Risk in Cardiothoracic Intensive Care (ARCtIC): prediction of hospital mortality after admission to cardiothoracic critical care. Anaesthesia 2016; 71: 1410–6.
    • (2016) Anaesthesia , vol.71 , pp. 1410-1416
    • Shahin, J.1    Ferrando-Vivas, P.2    Power, G.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.