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Surgical Outcomes Research| Volume 132, ISSUE 5, P787-794, November 2002

Adjusting surgical mortality rates for patient comorbidities: More harm than good?

  • Emily V.A. Finlayson
    Affiliations
    VA Outcomes Group, Department of Veterans Affairs Medical Center, Whit River Junction, Vt; Departments of Surgery and Community and Family Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, NH; Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, Me; and Department of Surgery, University of California, San Francisco
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  • John D. Birkmeyer
    Affiliations
    VA Outcomes Group, Department of Veterans Affairs Medical Center, Whit River Junction, Vt; Departments of Surgery and Community and Family Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, NH; Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, Me; and Department of Surgery, University of California, San Francisco
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  • Therese A. Stukel
    Affiliations
    VA Outcomes Group, Department of Veterans Affairs Medical Center, Whit River Junction, Vt; Departments of Surgery and Community and Family Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, NH; Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, Me; and Department of Surgery, University of California, San Francisco
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  • Andrea E. Siewers
    Affiliations
    VA Outcomes Group, Department of Veterans Affairs Medical Center, Whit River Junction, Vt; Departments of Surgery and Community and Family Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, NH; Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, Me; and Department of Surgery, University of California, San Francisco
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  • F.Lee Lucas
    Affiliations
    VA Outcomes Group, Department of Veterans Affairs Medical Center, Whit River Junction, Vt; Departments of Surgery and Community and Family Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, NH; Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, Me; and Department of Surgery, University of California, San Francisco
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  • David E. Wennberg
    Affiliations
    VA Outcomes Group, Department of Veterans Affairs Medical Center, Whit River Junction, Vt; Departments of Surgery and Community and Family Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Center for the Evaluative Clinical Sciences, Dartmouth Medical School, Hanover, NH; Center for Outcomes Research and Evaluation, Maine Medical Center, Portland, Me; and Department of Surgery, University of California, San Francisco
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      Abstract

      Background. Studies of medical admissions have questioned the validity of using claims data to adjust for preexisting medical conditions (comorbidities), but the impact of using comorbidities from claims data to risk-adjust mortality rates for high-risk surgery is not well characterized. The purpose of this study was to evaluate the relationship between comorbidities and mortality in administrative data in surgical populations and identify better risk-adjustment methods. Methods. Using the national Medicare database (1994-1997), we identified admissions for elective abdominal aortic aneurysm repair (140,577) and pancreaticoduodenectomy (10,530). We calculated the relative risk of mortality (adjusted for age, sex, race, and admission acuity) for 5 chronic conditions that are known (from clinical series) to increase the risk of postoperative mortality and are commonly used in claims-based risk-adjustment models. To explore the potential value of alternative risk-adjustment strategies, we examined relationships between surgical mortality and comorbidities using diagnosis codes identified from previous admissions. Results. Overall, in-hospital mortality for elective abdominal aortic aneurysm (AAA) repair and pancreaticoduodenectomy were 5.1% and 10.4%, respectively. For both procedures, 3 of the 5 comorbidities were associated with decreased risk of mortality: prior myocardial infarction (MI) [RR = 0.38; 95% confidence interval (CI), 0.33-0.43 for AAA; RR = 0.38; 95% CI, 0.21-0.69 for pancreaticoduodenectomy), malignancy (RR = 0.67; 95% CI, 0.59-0.76 for AAA; RR = 0.74; 95% CI, 0.45-1.21 for pancreaticoduodenectomy], and diabetes (RR = 0.76; 95% CI, 0.64-0.84 for AAA; RR = 0.59; 95% CI, 0.49-0.69 for pancreaticoduodenectomy). Using comorbidities identified from prior admissions increased the mortality risk estimates for prior MI (RR = 1.22; 95% CI, 1.08-1.38 for AAA; RR = 0.80; 95% CI, 0.49-1.30 for pancreaticoduodenectomy) and diabetes (RR = 1.41; 95% CI, 1.25-1.59 for AAA; RR = 0.94; 95% CI, 0.78-1.14 for pancreaticoduodenectomy). Conclusions. Because comorbidities coded on the index admission appear protective, incorporating them in risk-adjustment models for studies comparing surgical performance may penalize providers for taking care of sicker patients. When available, comorbidity information from prior hospitalizations may be more useful for risk adjustment. (Surgery 2002;132:787-94)
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      References

        • Manheim LM
        • Sohn MW
        • Feinglass J
        • Ujiki M
        • Parker MA
        • Pearce WH
        Hospital vascular surgery volume and procedure mortality rates in California, 1982-1994.
        J Vasc Surg. 1998; 28: 45-56
        • Cebul RD
        • Snow RJ
        • Pine R
        • Hertzer NR
        • Norris DG
        Indications, outcomes, and provider volumes for carotid endarterectomy.
        JAMA. 1998; 279: 1282-1287
        • Birkmeyer JD
        • Warshaw AL
        • Finlayson SR
        • Grove MR
        • Tosteson AN
        Relationship between hospital volume and late survival after pancreaticoduodenectomy.
        Surgery. 1999; 126: 178-183
        • Jollis JG
        • Peterson ED
        • DeLong ER
        • Mark DB
        • Collins SR
        • Muhlbaier LH
        • Pryor DB
        The relationship between the volume of coronary angioplasty procedures at hospitals treating medicare beneficiaries and short-term mortality.
        N Engl J Med. 1994; 331: 1625-1629
        • Romano PS
        • Roos LL
        • Jollis JG
        Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives.
        J Clin Epidemiol. 1993; 46: 1075-1079
        • Elixhauser A
        • Steiner C
        • Harris DR
        • Coffey RM
        Comorbidity measures for use with administrative data.
        Med Care. 1998; 36: 8-27
        • Hsia DC
        • Krushat WM
        • Fagan AB
        • Tebbutt JA
        • Kusserow RP
        Accuracy of diagnostic coding for Medicare patients under the prospective-payment system.
        N Engl J Med. 1988; 318: 352-355
        • Lloyd SS
        • Rissing JP
        Physician and coding errors in patient records.
        JAMA. 1985; 254: 1330-1336
        • Fisher ES
        • Whaley FS
        • Krushat WM
        • Malenka DJ
        • Fleming C
        • Baron JA
        • Hsia DC
        The accuracy of Medicare's hospital claims data: progress has been made, but problems remain.
        Am J Public Health. 1992; 82: 243-248
        • Jollis JG
        • Ancukiewicz M
        • DeLong ER
        • Pryor DB
        • Muhlbaier LH
        • Mark DB
        Discordance of databases designed for claims payment versus clinical information systems.
        Ann Intern Med. 1993; 119: 844-850
        • Romano PS
        • Roos LL
        • Luft HS
        • Jollis JG
        • Doliszny K.
        A comparison of administrative versus clinical data: coronary artery bypass surgery as an example.
        J Clin Epidemiol. 1994; 47: 249-260
        • Hannan EL
        • Kilburn H
        • Lindsey ML
        • Lewis R
        Clinical versus administrative data bases for CABG surgery: does it matter?.
        Med Care. 1992; 30: 892-907
        • Iezzoni LI
        The risks of risk adjustment.
        JAMA. 1997; 278: 1600-1607
        • Roos LL
        • Stranc L
        • James RC
        • Li J
        Complications, comorbidities, and mortality: improving classification and prediction.
        Health Serv Res. 1997; 32: 229-238
        • Iezzoni LI
        • Foley SM
        • Daley J
        • Hughes J
        • Fisher ES
        • Hecren T
        Comorbidities, complications, and coding bias: does the number of diagnosis codes matter in predicting in-hospital mortality?.
        JAMA. 1992; 267: 2197-2203
        • Jencks SF
        • Williams DK
        • Kay TL
        Assessing hospital-associated deaths from discharge data: the role of length of stay and comorbidities.
        JAMA. 1988; 260: 2240-2246
        • Charlson ME
        • Pompei P
        • Ales KL
        • MacKenzie CR
        A method of classifying prognostic comorbidity in longitudinal studies: development and validation.
        J Chron Dis. 1987; 40: 373-383
        • Zhang J
        • Yu KF
        What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes.
        JAMA. 1998; 280: 1690-1691
        • Steyerberg EW
        • Kievit J
        • de Mol van Otterloo JC
        • van Bockel JH
        • Eijkemans MJ
        • Habbema JD
        Perioperative mortality of elective abdominal aortic aneurysm surgery: a clinical prediction rule based on literature and individual patient data.
        Arch Intern Med. 1995; 155: 1998-2004
        • Stukenberg GJ
        • Wagner DP
        • Conners AF
        Comparison of the performance of two comorbidity measures, with and without information from prior hospitalizations.
        Med Care. 2001; 39: 727-739
        • Brown F
        ICD-9-CM Coding Handbook, with Answers.
        Health Forum, Inc, 2000
        • Treiman GS
        • Treiman RL
        • Foran RF
        • Cossman DV
        • Cohen JL
        • Levin PM
        • Wagner WH
        The influence of diabetes mellitus on the risk of abdominal aortic surgery.
        Amer Surg. 1994; 60: 436-440
        • Clough RA
        • Leavitt BJ
        • Morton JR
        • Plume SK
        • Hernandez F
        • Nugent W
        • Lahey SJ
        • Ross CS
        The effect of comorbid illness on mortality outcomes in cardiac surgery.
        Arch Surg. 2002; 137: 428-433
        • Hamdan AD
        • Saltzberg SS
        • Sheahan M
        • Froelich J
        • Akbari CM
        • Campbell DR
        • LoGerfo FW
        • Pomposelli Jr, FB
        Lack of association of diabetes with increased postoperative mortality and cardiac morbidity.
        Arch Surg. 2002; 137: 417-421