2018
DOI: 10.1002/cncr.31269
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Adapting the Elixhauser comorbidity index for cancer patients

Abstract: The cancer-specific Elixhauser comorbidity score performed as well as or slightly better than the cancer-specific Charlson comorbidity score in predicting 2-year survival. If the sample size permits, using individual Elixhauser comorbidities may be the best way to control for confounding in cancer outcomes research. Cancer 2018;124:2018-25. © 2018 American Cancer Society.

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Cited by 61 publications
(38 citation statements)
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“…The majority of physicians included in the analysis were male (95.9% [n ¼ 5430]) and practiced in urban locations (92.6% [n ¼ 5243]; Table II). The median number of years in practice was 23 years (IQR, 16-30 years), and the median number of patients who received a new diagnosis of claudication during the study period was 22 (IQR, [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] Patient and physician characteristics associated with early PVI. Based on univariable logistic regression analysis, patient characteristics associated with higher early PVI rates included age 65 to 74 years, male sex, hypertension, and smoking (all P < .001; Table III).…”
Section: Resultsmentioning
confidence: 99%
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“…The majority of physicians included in the analysis were male (95.9% [n ¼ 5430]) and practiced in urban locations (92.6% [n ¼ 5243]; Table II). The median number of years in practice was 23 years (IQR, 16-30 years), and the median number of patients who received a new diagnosis of claudication during the study period was 22 (IQR, [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34] Patient and physician characteristics associated with early PVI. Based on univariable logistic regression analysis, patient characteristics associated with higher early PVI rates included age 65 to 74 years, male sex, hypertension, and smoking (all P < .001; Table III).…”
Section: Resultsmentioning
confidence: 99%
“…To define a comorbidity, we required at least one diagnosis from the inpatient claims or at least two diagnoses recorded >30 days apart from the outpatient or carrier claims. 15,16 To define an ever smoker, we required at least one diagnosis of smoking from any type of claim. 17 We also determined whether patients had undergone noninvasive testing with ankle-brachial indices within 3 months before or after the first claudication diagnosis using the codes listed in the Supplementary Table (online only).…”
Section: Methodsmentioning
confidence: 99%
“…With the assessment of comorbidi- Table 2. Optimal proportional hazard models predicting overall and non-bladder cancer mortality analyzing all individual conditions contributing to the modified self-administrable comorbidity index recommended in the ICHOM standard sets [5][6][7][8][9] ty, more complex instruments may be expected to provide better predictive performance [13]. However, particularly when no detailed documentation of concomitant diseases is available, or when data are obtained via questionnaire from the patients themselves, complexity may hinder data collection.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the prognostic impact of comorbidities may differ across subpopulations . For example, the prognostic impact of congestive heart failure on 1‐year mortality was greater in breast cancer patients (hazard ratio = 2.03) compared to colorectal cancer patients (hazard ratio = 1.41) . Therefore, comorbidity scores developed for a target population perform better than scores developed using broader populations .…”
Section: Discussionmentioning
confidence: 99%
“…30 For example, the prognostic impact of congestive heart failure on 1-year mortality was greater in breast cancer patients (hazard ratio = 2.03) compared to colorectal cancer patients (hazard ratio = 1.41). 31 Therefore, comorbidity scores developed for a target population perform better than scores developed using broader populations. 15,[32][33][34] The surgery-specific comorbidity score has 63 comorbidities in comparison to the 79 hierarchal condition categories in the CMS-HCC.…”
Section: Discussionmentioning
confidence: 99%