Skip to main content
Top
Published in: Journal of Gastrointestinal Surgery 5/2012

01-05-2012 | Original Article

Limitations of Patient-Associated Co-Morbidity Model in Predicting Postoperative Morbidity and Mortality in Pancreatic Operations

Authors: Rupen Shah, Vic Velanovich, Zeeshan Syed, Andrew Swartz, Ilan Rubinfeld

Published in: Journal of Gastrointestinal Surgery | Issue 5/2012

Login to get access

Abstract

Background

Patient-associated co-morbidities are a potential cause of postoperative complications. The National Surgical Quality Improvement Project (NSQIP) collects data on patient outcomes to provide risk-adjusted outcomes data to participating hospitals. However, operations which may have a high distribution of technically-related complications, such as pancreatic operations, may not be adequately assessed using such predictive models.

Methods

A combined data set of NSQIP Public Use files (PUF) from 2005 to 2008 was created. Using this database, multiple logistic regression analyses were used to generate a predictive model of 30-day postoperative morbidity and mortality for pancreatic operations and all other operations recorded in NSQIP. Receiver-operator characteristic curves were generated and the area under those curves (AUROC) used to generate a c-statistic to assess the model’s discriminatory ability. Observed-to-expected (O/E) ratios of for mortality and morbidity using not only patient-associated co-morbidities, but operation-associated information, such as work relative-value units and Current Procedural Terminology codes, were generated. Data were analyzed in SPSS.

Results

In the 4-year period analyzed, there were 7,097 complex pancreatic procedures done which were compared to 568,371 procedures that were not. For postoperative mortality, the AUROC was less for pancreatic operations (0.741) compared to all other operation (0.947) and all other inpatient operations (0.927). Similarly for postoperative morbidity, the AUROC was less for pancreatic operations (0.598) compared to all other operations (0.764) and all other inpatient operations (0.817). However, the O/E ratios were similar in both groups for mortality (all other operations, 0.94 vs. pancreatic operations, 0.92) and morbidity (0.98 for both).

Conclusions

These data imply that the factors used to assess postoperative mortality and morbidity may not completely explain postoperative outcomes in pancreatic operations. These procedures are technically demanding and can have morbidities not related to pre-existing co-morbid conditions; therefore, preoperative prediction based on pre-existing co-morbidities may have limitations in these types of operations.
Literature
1.
go back to reference Velanovich V. The effects of age, gender, race and concomitant disease on postoperative complications. J R Coll Surg Edinb 1993;38:225-230PubMed Velanovich V. The effects of age, gender, race and concomitant disease on postoperative complications. J R Coll Surg Edinb 1993;38:225-230PubMed
2.
go back to reference Ford MK, Beattie WS, Wifeysundera DN. Systematic review: Prediction of perioperative cardiac complications and mortality by the revised cardiac risk index. Ann Intern Med 2010;152:26-35PubMed Ford MK, Beattie WS, Wifeysundera DN. Systematic review: Prediction of perioperative cardiac complications and mortality by the revised cardiac risk index. Ann Intern Med 2010;152:26-35PubMed
3.
go back to reference Bapoje SR, Whitaker JF, Schulz T, Chu ES, Albert RK. Preoperative evaluation of the patient with pulmonary disease. Chest 2007;132:1637-1645PubMedCrossRef Bapoje SR, Whitaker JF, Schulz T, Chu ES, Albert RK. Preoperative evaluation of the patient with pulmonary disease. Chest 2007;132:1637-1645PubMedCrossRef
4.
go back to reference Birkmeyer JD, Siewers AE, Finlayson EVA, et al. Hospital volume and surgical mortality in the United States. N Engl J Med 2002;346:1128-1137PubMedCrossRef Birkmeyer JD, Siewers AE, Finlayson EVA, et al. Hospital volume and surgical mortality in the United States. N Engl J Med 2002;346:1128-1137PubMedCrossRef
5.
go back to reference Joseph B, Morton JM, Hernandez-Boussard T, et al. Relationship between hospital volume, system clinical resources, and mortality in pancreatic resection. J Am Coll Surg 2009;208:520-527PubMedCrossRef Joseph B, Morton JM, Hernandez-Boussard T, et al. Relationship between hospital volume, system clinical resources, and mortality in pancreatic resection. J Am Coll Surg 2009;208:520-527PubMedCrossRef
6.
go back to reference Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med 2009;361:1368-1375PubMedCrossRef Ghaferi AA, Birkmeyer JD, Dimick JB. Variation in hospital mortality associated with inpatient surgery. N Engl J Med 2009;361:1368-1375PubMedCrossRef
7.
go back to reference Stulberg JJ, Delaney CP, Neuhauser DV, et al. Adherence to Surgical Care Improvement Project measures and the association with postoperative infections. JAMA 2010;303:2479-2485PubMedCrossRef Stulberg JJ, Delaney CP, Neuhauser DV, et al. Adherence to Surgical Care Improvement Project measures and the association with postoperative infections. JAMA 2010;303:2479-2485PubMedCrossRef
8.
go back to reference Neumayer, L., How do (and why should) I use the National Surgical Quality Improvement Program? Am J Surg, 2009. 198(5 Suppl): p. S36-40.PubMedCrossRef Neumayer, L., How do (and why should) I use the National Surgical Quality Improvement Program? Am J Surg, 2009. 198(5 Suppl): p. S36-40.PubMedCrossRef
9.
go back to reference American College of Surgeons National Surgical Quality Improvement Program,Copyright © 2006 ACS NSQIP. (www.nsqip.org), last accessed January 6, 2010 American College of Surgeons National Surgical Quality Improvement Program,Copyright © 2006 ACS NSQIP. (www.​nsqip.​org), last accessed January 6, 2010
10.
go back to reference Stojadinovic A, Brooks A, Hoos A, Jaques DP, Conlon KC, Brennan MF. An evidence-based approach to the surgical management of resectable pancreatic adenocarcinoma. J Am Coll Surg 2003;196:954-964PubMedCrossRef Stojadinovic A, Brooks A, Hoos A, Jaques DP, Conlon KC, Brennan MF. An evidence-based approach to the surgical management of resectable pancreatic adenocarcinoma. J Am Coll Surg 2003;196:954-964PubMedCrossRef
11.
go back to reference McPhee JT, Hill JS, Whalen GF, et al. Perioperative mortality for pancreatectomy: A national perspective. Ann Surg 2007;246:246-253PubMedCrossRef McPhee JT, Hill JS, Whalen GF, et al. Perioperative mortality for pancreatectomy: A national perspective. Ann Surg 2007;246:246-253PubMedCrossRef
12.
go back to reference Gouma DJ, van Geenen RC, van Gulik TM, et al. Rates of complications and death after pancreaticoduodenectomy: Risk factors and the impact of hospital volume. Ann Surg 2000;232:786-795PubMedCrossRef Gouma DJ, van Geenen RC, van Gulik TM, et al. Rates of complications and death after pancreaticoduodenectomy: Risk factors and the impact of hospital volume. Ann Surg 2000;232:786-795PubMedCrossRef
13.
go back to reference Glasgow RE, Jackson HH, Neumayer L, et al. Pancreatic resection in Veterans Affairs and selected university medical centers: Results of the patient safety in surgery study. J Am Coll Surg 2007;204:1252-1260PubMedCrossRef Glasgow RE, Jackson HH, Neumayer L, et al. Pancreatic resection in Veterans Affairs and selected university medical centers: Results of the patient safety in surgery study. J Am Coll Surg 2007;204:1252-1260PubMedCrossRef
14.
go back to reference Current Procedural Terminology 2010 Professional Edition, American Medical Association, 2010 Current Procedural Terminology 2010 Professional Edition, American Medical Association, 2010
15.
go back to reference Henderson WG, Daley J. Design and statistical methodology of the National Surgical Quality Improvement Program: Why is it what it is? Am J Surg 2009;198(5 Suppl):S19-27PubMedCrossRef Henderson WG, Daley J. Design and statistical methodology of the National Surgical Quality Improvement Program: Why is it what it is? Am J Surg 2009;198(5 Suppl):S19-27PubMedCrossRef
16.
go back to reference Borja-Cacho D, Parsons HM, Habermann EB, et al. Assessment of ACS NSQIP’s predictive ability for adverse events after major cancer surgery. Ann Surg Oncol 2010;17:2274-2282PubMedCrossRef Borja-Cacho D, Parsons HM, Habermann EB, et al. Assessment of ACS NSQIP’s predictive ability for adverse events after major cancer surgery. Ann Surg Oncol 2010;17:2274-2282PubMedCrossRef
17.
go back to reference Reddy DM, Townsend CM Jr, Kuo Y-F, et al. Readmission after pancreatectomy for pancreatic cancer in Medicare patients. J Gastrointest Surg 2009;13:1963-1975PubMedCrossRef Reddy DM, Townsend CM Jr, Kuo Y-F, et al. Readmission after pancreatectomy for pancreatic cancer in Medicare patients. J Gastrointest Surg 2009;13:1963-1975PubMedCrossRef
18.
go back to reference Hatzaras I, Schmidt C, Klemanski D, et al. Pancreatic resection in the octogenarian: A safe option for pancreatic malignancy. J Am Coll Surg 2011;212:373-377PubMedCrossRef Hatzaras I, Schmidt C, Klemanski D, et al. Pancreatic resection in the octogenarian: A safe option for pancreatic malignancy. J Am Coll Surg 2011;212:373-377PubMedCrossRef
19.
go back to reference Casadei R, Ricci C, Pezzilli R, et al. Assessment of complications according to the Clavien-Dindo classification after distal pancreatectomy. JOP 2011;12:126-130PubMed Casadei R, Ricci C, Pezzilli R, et al. Assessment of complications according to the Clavien-Dindo classification after distal pancreatectomy. JOP 2011;12:126-130PubMed
20.
go back to reference Kelly KJ, Greenblatt DY, Wan Y, et al. Risk stratification for distal pancreatectomy utilizing ACS-NSQIP: Preoperative factors predict morbidity and mortality. J Gastrointest Surg 2011;15:250-261PubMedCrossRef Kelly KJ, Greenblatt DY, Wan Y, et al. Risk stratification for distal pancreatectomy utilizing ACS-NSQIP: Preoperative factors predict morbidity and mortality. J Gastrointest Surg 2011;15:250-261PubMedCrossRef
21.
go back to reference Smith JK, Ng SC, Simons JP, et al. Complications after pancreatectomy for neuroendocrine tumors: A national study. J Surg Res 2010;163:63-68PubMedCrossRef Smith JK, Ng SC, Simons JP, et al. Complications after pancreatectomy for neuroendocrine tumors: A national study. J Surg Res 2010;163:63-68PubMedCrossRef
22.
go back to reference Pitt HA, Kilbane M, Strasberg SM, et al. ACS-NSQIP has the potential to create an HPB-NSQIP option. HPB (Oxford) 2009;11:405-413.CrossRef Pitt HA, Kilbane M, Strasberg SM, et al. ACS-NSQIP has the potential to create an HPB-NSQIP option. HPB (Oxford) 2009;11:405-413.CrossRef
23.
go back to reference Parikh P, Shiloach M, Cohen ME, et al. Pancreatectomy risk calculator: an ACS-NSQIP resource. HPB (Oxford) 2010;12:488-497.CrossRef Parikh P, Shiloach M, Cohen ME, et al. Pancreatectomy risk calculator: an ACS-NSQIP resource. HPB (Oxford) 2010;12:488-497.CrossRef
24.
go back to reference Schilling PL, Dimick JB, Birkmeyer JD. Prioritizing quality improvement in general surgery. J Am Coll Surg 2008;207:698-704PubMedCrossRef Schilling PL, Dimick JB, Birkmeyer JD. Prioritizing quality improvement in general surgery. J Am Coll Surg 2008;207:698-704PubMedCrossRef
25.
go back to reference Birkmeyer JD, Shahian DM, Dimick JB, et al. Blueprint for a new American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg 2008;207:777-782PubMedCrossRef Birkmeyer JD, Shahian DM, Dimick JB, et al. Blueprint for a new American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg 2008;207:777-782PubMedCrossRef
26.
go back to reference Raval MV, Cohen ME, Ingraham AM, et al. Improving American College of Surgeons National Surgical Quality Improvement Program risk adjustment: Incorporation of a novel procedure risk score. J Am Coll Surg 2010;211:715-723PubMedCrossRef Raval MV, Cohen ME, Ingraham AM, et al. Improving American College of Surgeons National Surgical Quality Improvement Program risk adjustment: Incorporation of a novel procedure risk score. J Am Coll Surg 2010;211:715-723PubMedCrossRef
27.
go back to reference Syed Z, Rubinfeld I, Patton JH Jr, et al. Using procedural codes to supplement risk-adjustment: A non-parametric learning approach. J Am Coll Surg 2011;212:1086-1093PubMedCrossRef Syed Z, Rubinfeld I, Patton JH Jr, et al. Using procedural codes to supplement risk-adjustment: A non-parametric learning approach. J Am Coll Surg 2011;212:1086-1093PubMedCrossRef
Metadata
Title
Limitations of Patient-Associated Co-Morbidity Model in Predicting Postoperative Morbidity and Mortality in Pancreatic Operations
Authors
Rupen Shah
Vic Velanovich
Zeeshan Syed
Andrew Swartz
Ilan Rubinfeld
Publication date
01-05-2012
Publisher
Springer-Verlag
Published in
Journal of Gastrointestinal Surgery / Issue 5/2012
Print ISSN: 1091-255X
Electronic ISSN: 1873-4626
DOI
https://doi.org/10.1007/s11605-012-1857-y

Other articles of this Issue 5/2012

Journal of Gastrointestinal Surgery 5/2012 Go to the issue