275464
Predictive accuracy of 29-comorbidity index for in-hospital deaths in US adult hospitalizations with a diagnosis of venous thromboembolism
Method: We analyzed data from the 2010 Nationwide Inpatient Sample developed by the AHRQ. We calculated the case-fatality and prevalence of comorbidities in a sample of 153,518 adult hospitalizations with a diagnosis of VTE. We estimated adjusted odds ratios (aOR) and 95% confidence intervals with multivariate logistic regression models by using comorbidities as predictors and status of in-hospital death as an outcome variable. We assessed c-statistics for the predictive accuracy of regression models.
Results: Of the estimated adult hospitalizations with a diagnosis of DVT (N=440,151), PE (N=329,986), or VTE (N=770,137), there were approximately 20,212, 21,732, and 41,944 in-hospital deaths in 2010, respectively. When compared to DVT, PE, or VTE subgroups without the corresponding comorbidities, congestive heart failure, chronic pulmonary disease, coagulopathy, liver disease, lymphoma, fluid and electrolyte disorders, metastatic cancer, other neurological disorders, peripheral vascular disorders, pulmonary circulation disorders, renal failure, solid tumor without metastasis, and weight loss were positively and independently associated with 1.16-2.25 times increased likelihoods of in-hospital death. The c-statistic values ranged from 0.794 to 0.802.
Conclusion: The AHRQ 29-comorbidity index provides acceptable to excellent predictive accuracy for in-hospital deaths in adult hospitalizations with DVT, PE, or VTE overall.
Clinical medicine applied in public health
Epidemiology
Other professions or practice related to public health
Public health or related research
Learning Objectives:
Describe the predictive accuracy of 29-comorbidity index for in-hospital deaths with a diagnosis of venous thromboembolism in the United States
Keywords: Co-morbid, Chronic Diseases
Qualified on the content I am responsible for because: conceived the study, analyzed the data, wrote the draft abstract
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.