William P Glasheen1, Andrew Renda2, Yanting Dong3. 1. Humana Inc., Clinical Analytics, 101 S. Fifth Street, 11th Floor, Louisville, KY 40202, USA. Electronic address: wglasheen@humana.com. 2. Humana Inc., Office of the Chief Medical Officer,500 West Main Street, 14th Floor, Louisville, KY 40202, USA. Electronic address: arenda1@humana.com. 3. Humana Inc., Clinical Analytics, Louisville, KY, USA. Electronic address: ydong@humana.com.
Abstract
AIMS: The Diabetes Complications Severity Index (DCSI) converts diagnostic codes and laboratory results into a 14-level metric quantifying the long-term effects of diabetes on seven body systems. Adoption of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) necessitates translation from ICD-9-CM and creates refinement opportunities. METHODS: ICD-9 codes for secondary and primary diabetes plus all five ICD-10 diabetes categories were incorporated into an updated tool. Additional modifications were made to improve the accuracy of severity assignments. SUBJECTS: The tools were tested in a Medicare Advantage population. RESULTS: In the type 2 subpopulation, prevalence steadily declined with increasing score according to the updated DCSI tool, whereas the original tool resulted in an aberrant local prevalence peak at DCSI = 2. In the type 1 subpopulation, score prevalence was greater in type 1 versus type 2 subpopulations (3 versus 0) according to both instruments. Both instruments predicted current-year inpatient admissions risk and near-future mortality, using either purely ICD-9 data or a mix of ICD-9 and ICD-10 data. DISCUSSION: While the performance of the tool with purely ICD-10 data has yet to be evaluated, this updated tool makes assessment of diabetes patient severity and complications possible in the interim.
AIMS: The Diabetes Complications Severity Index (DCSI) converts diagnostic codes and laboratory results into a 14-level metric quantifying the long-term effects of diabetes on seven body systems. Adoption of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) necessitates translation from ICD-9-CM and creates refinement opportunities. METHODS: ICD-9 codes for secondary and primary diabetes plus all five ICD-10 diabetes categories were incorporated into an updated tool. Additional modifications were made to improve the accuracy of severity assignments. SUBJECTS: The tools were tested in a Medicare Advantage population. RESULTS: In the type 2 subpopulation, prevalence steadily declined with increasing score according to the updated DCSI tool, whereas the original tool resulted in an aberrant local prevalence peak at DCSI = 2. In the type 1 subpopulation, score prevalence was greater in type 1 versus type 2 subpopulations (3 versus 0) according to both instruments. Both instruments predicted current-year inpatient admissions risk and near-future mortality, using either purely ICD-9 data or a mix of ICD-9 and ICD-10 data. DISCUSSION: While the performance of the tool with purely ICD-10 data has yet to be evaluated, this updated tool makes assessment of diabetespatient severity and complications possible in the interim.
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