TY - JOUR
T1 - Toward Optimizing Risk Adjustment in the Dutch Surgical Aneurysm Audit
AU - Lijftogt, Niki
AU - Vahl, Anco
AU - van der Willik, Esmee M.
AU - Leijdekkers, Vanessa J.
AU - Wouters, Michel W. J. M.
AU - Hamming, J. F.
AU - Elsman, B. H. P.
AU - Geelkerken, R. H.
AU - Wilschut, E. D.
AU - de Borst, G. J.
AU - van Herwaarden, J. A.
AU - Elshof, J. W.
AU - Willems, M. C. M.
AU - Dutch Society of Vascular Surgery
AU - Dutch Society of Vascular Surgery, the Steering Committee of the Dutch Surgical Aneurysm Audit and the Dutch Institute for Clinical Auditing
AU - Teijink, Joep
N1 - Funding Information:
The authors would like to thank the members of the Dutch Society for Vascular Surgery who registered their patients in the DSAA, the Dutch Institute for Clinical Auditing that facilitated the registry, and the Dutch Surgical Aneurysm Audit group that consists of the following members: Dr. B.H.P. Elsman, Prof. J.F. Hamming, Dr. R.H. Geelkerken,. E.D. Wilschut, Dr. A.C. Vahl, Prof. G.J. de Borst, Dr. J.A. Van Herwaarden, Dr. J.W. Elshof, and Dr. M.C.M. Willems. Collaborators. Van den Akker LH, Van den Akker PJ, Akkersdijk GJ, Akkersdijk GP, Akkersdijk WL, van Andringa de Kempenaer MG, Arts CH, Avontuur JA, Baal JG, Bakker OJ, Balm R, Barendregt WB, Bender MH, Bendermacher BL, van den Berg M, Berger P, Beuk RJ, Blankensteijn JD, Bleker RJ, Bockel JH, Bodegom ME, Bogt KE, Boll AP, Booster MH, Borger van der Burg BL, de Borst GJ, Bos- van Rossum WT, Bosma J, Botman JM, Bouwman LH, Breek JC, Brehm V, Brinckman MJ, van den Broek TH, Brom HL, de Bruijn MT, de Bruin JL, Brummel P, van Brussel JP, Buijk SE, Buimer MG, Burger DH, Buscher HC, den Butter G, Cancrinus E, Castenmiller PH, Cazander G, Coveliers HM, Cuypers PH, Daemen JH, Dawson I, Derom AF, Dijkema AR, Diks J, Dinkelman MK, Dirven M, Dolmans DE, van Doorn RC, van Dortmont LM, van der Eb MM, Eefting D, van Eijck GJ, Elshof JW, Elsman BH, van der Elst A, van Engeland MI, van Eps RG, Faber MJ, de Fijter WM, Fioole B, Fritschy WM, Geelkerken RH, van Gent WB, Glade GJ, Govaert B, Groenendijk RP, de Groot HG, van den Haak RF, de Haan EF, Hajer GF, Hamming JF, van Hattum ES, Hazenberg CE, Hedeman Joosten PP, Helleman JN, van der Hem LG, Hendriks JM, van Herwaarden JA, Heyligers JM, Hinnen JW, Hissink RJ, Ho GH, den Hoed PT, Hoedt MT, van Hoek F, Hoencamp R, Hoffmann WH, Hoksbergen AW, Hollander EJ, Huisman LC, Hulsebos RG, Huntjens KM, Idu MM, Jacobs MJ, van der Jagt MF, Jansbeken JR, Janssen RJ, Jiang HH, de Jong SC, Jongkind V, Kapma MR, Keller BP, Khodadade Jahrome A, Kievit JK, Klemm PL, Klinkert P, Knippenberg B, Koedam NA, Koelemaij MJ, Kolkert JL, Koning GG, Koning OH, Krasznai AG, Krol RM, Kropman RH, Kruse RR, van der Laan L, van der Laan MJ, van Laanen JH, Lardenoye JH, Lawson JA, Legemate DA, Leijdekkers VJ, Lemson MS, Lensvelt MM, Lijkwan MA, Lind RC, van der Linden FT, Liqui Lung PF, Loos MJ, Loubert MC, Mahmoud DE, Manshanden CG, Mattens EC, Meerwaldt R, Mees BM, Metz R, Minnee RC, de Mol van Otterloo JC, Moll FL, Montauban van Swijndregt YC, Morak MJ, van de Mortel RH, Mulder W, Nagesser SK, Naves CC, Nederhoed JH, Nevenzel-Putters AM, de Nie AJ, Nieuwenhuis DH, Nieuwenhuizen J, van Nieuwenhuizen RC, Nio D, Oomen AP, Oranen BI, Oskam J, Palamba HW, Peppelenbosch AG, van Petersen AS, Peterson TF, Petri BJ, Pierie ME, Ploeg AJ, Pol RA, Ponfoort ED, Poyck PP, Prent A, ten Raa S, Raymakers JT, Reichart M, Reichmann BL, Reijnen MM, Rijbroek A, van Rijn MJ, de Roo RA, Rouwet EV, Rupert CG, Saleem BR, van Sambeek MR, Samyn MG, van 't Sant HP, van Schaik J, van Schaik PM, Scharn DM, Scheltinga MR, Schepers A, Schlejen PM, Schlosser FJ, Schol FP, Schouten O, Schreinemacher MH, Schreve MA, Schurink GW, Sikkink CJ, Siroen MP, te Slaa A, Smeets HJ, Smeets L, de Smet AA, de Smit P, Smit PC, Smits TM, Snoeijs MG, Sondakh AO, van der Steenhoven TJ, van Sterkenburg SM, Stigter DA, Stigter H, Strating RP, Stultiëns GN, Sybrandy JE, Teijink JA, Telgenkamp BJ, Testroote MJ, The RM, Thijsse WJ, Tielliu IF, van Tongeren RB, Toorop RJ, Tordoir JH, Tournoij E, Truijers M, Türkcan K, Tutein Nolthenius RP, Ünlü Ç, Vafi AA, Vahl AC, Veen EJ, Veger HT, Veldman MG, Verhagen HJ, Verhoeven BA,Vermeulen CF, Vermeulen EG, Vierhout BP, Visser MJ, van der Vliet JA, Vlijmen - van Keulen CJ, Voesten HG, Voorhoeve R, Vos AW, de Vos B, Vos GA, Vriens BH, Vriens PW, de Vries AC, de Vries JP, de Vries M, van der Waal C, Waasdorp EJ, Wallis de Vries BM,van Walraven LA, van Wanroij JL, Warlé MC, van Weel V, van Well AM, Welten GM, Welten RJ, Wever JJ, Wiersema AM, Wikkeling OR, Willaert WI, Wille J, Willems MC, Willigendael EM, Wisselink W, Witte ME, Wittens CH, Wolf-de Jonge IC, Yazar O, Zeebregts CJ, van Zeeland ML. Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/10
Y1 - 2019/10
N2 - Background: To compare hospital outcomes of aortic aneurysm surgery, casemix correction for preoperative variables is essential. Most of these variables can be deduced from mortality risk prediction models. Our aim was to identify the optimal set of preoperative variables associated with mortality to establish a relevant and efficient casemix model.Methods: All patients prospectively registered between 2013 and 2016 in the Dutch Surgical Aneurysm Audit (DSAA) were included for the analysis. After multiple imputation for missing variables, predictors for mortality following univariable logistic regression were analyzed in a manual backward multivariable logistic regression model and compared with three standard mortality risk prediction models: Glasgow Aneurysm Score (GAS, mainly clinical parameters), Vascular Biochemical and Haematological Outcome Model (VBHOM, mainly laboratory parameters), and Dutch Aneurysm Score (DAS, both clinical and laboratory parameters). Discrimination and calibration were tested and considered good with a C-statistic > 0.8 and Hosmer-Lemeshow (H-L) P > 0.05.Results: There were 12,401 patients: 9,537 (76.9%) elective patients (EAAA), 913 (7.4%) acute symptomatic patients (SAAA), and 1,951 (15.7%) patients with acute rupture (RAAA). Overall postoperative mortality was 6.5%; 1.8% after EAAA surgery, 6.6% after SAAA, and 29.6% after RAAA surgery. The optimal set of independent variables associated with mortality was a mix of clinical and laboratory parameters: gender, age, pulmonary comorbidity, operative setting, creatinine, aneurysm size, hemoglobin, Glasgow coma scale, electrocardiography, and systolic blood pressure (C-statistic 0.871). External validation overall of VBHOM, DAS, and GAS revealed C-statistics of 0.836, 0.782, and 0.761, with an H-L of 0.028, 0.00, and 0.128, respectively.Conclusions: The optimal set of variables for casemix correction in the DSAA comprises both clinical and laboratory parameters, which can be collected easily from electronic patient files and will lead to an efficient casemix model.
AB - Background: To compare hospital outcomes of aortic aneurysm surgery, casemix correction for preoperative variables is essential. Most of these variables can be deduced from mortality risk prediction models. Our aim was to identify the optimal set of preoperative variables associated with mortality to establish a relevant and efficient casemix model.Methods: All patients prospectively registered between 2013 and 2016 in the Dutch Surgical Aneurysm Audit (DSAA) were included for the analysis. After multiple imputation for missing variables, predictors for mortality following univariable logistic regression were analyzed in a manual backward multivariable logistic regression model and compared with three standard mortality risk prediction models: Glasgow Aneurysm Score (GAS, mainly clinical parameters), Vascular Biochemical and Haematological Outcome Model (VBHOM, mainly laboratory parameters), and Dutch Aneurysm Score (DAS, both clinical and laboratory parameters). Discrimination and calibration were tested and considered good with a C-statistic > 0.8 and Hosmer-Lemeshow (H-L) P > 0.05.Results: There were 12,401 patients: 9,537 (76.9%) elective patients (EAAA), 913 (7.4%) acute symptomatic patients (SAAA), and 1,951 (15.7%) patients with acute rupture (RAAA). Overall postoperative mortality was 6.5%; 1.8% after EAAA surgery, 6.6% after SAAA, and 29.6% after RAAA surgery. The optimal set of independent variables associated with mortality was a mix of clinical and laboratory parameters: gender, age, pulmonary comorbidity, operative setting, creatinine, aneurysm size, hemoglobin, Glasgow coma scale, electrocardiography, and systolic blood pressure (C-statistic 0.871). External validation overall of VBHOM, DAS, and GAS revealed C-statistics of 0.836, 0.782, and 0.761, with an H-L of 0.028, 0.00, and 0.128, respectively.Conclusions: The optimal set of variables for casemix correction in the DSAA comprises both clinical and laboratory parameters, which can be collected easily from electronic patient files and will lead to an efficient casemix model.
KW - ABDOMINAL AORTIC-ANEURYSM
KW - MODEL
KW - MORTALITY
KW - SURGERY
KW - ERA
U2 - 10.1016/j.avsg.2019.02.032
DO - 10.1016/j.avsg.2019.02.032
M3 - Article
C2 - 31075453
SN - 0890-5096
VL - 60
SP - 103
EP - 111
JO - Annals of Vascular Surgery
JF - Annals of Vascular Surgery
ER -