Your browser doesn't support javascript.
loading
Measuring accuracy of International Classification of Diseases codes in identification of patients with non-cystic fibrosis bronchiectasis.
Green, O'Neil; Liautaud, Sybille; Knee, Alexander; Modahl, Lucy.
Affiliation
  • Green O; Division of Pulmonary and Critical Care Medicine, UMASS Chan School of Medicine/Baystate Campus, Springfield, MA, USA.
  • Liautaud S; Division of Pulmonary and Critical Care Medicine, UMASS Chan School of Medicine/Baystate Campus, Springfield, MA, USA.
  • Knee A; Department of Healthcare Delivery and Population Science, UMASS Chan School of Medicine/Baystate Campus, Springfield, MA, USA.
  • Modahl L; Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
ERJ Open Res ; 10(2)2024 Mar.
Article in En | MEDLINE | ID: mdl-38500799
ABSTRACT

Introduction:

Non-cystic fibrosis bronchiectasis is a disease which is increasing in incidence and prevalence worldwide. The incidence of the disease is frequently estimated using databases that rely on International Classification of Diseases, ninth and tenth revisions, clinical modification (ICD-9-CM/ICD-10-CM) discharge diagnoses. Code accuracy has proved to be a major issue for other diagnoses using ICD codes. This study aims to investigate the accuracy of the ICD codes for the diagnosis of non-cystic fibrosis bronchiectasis.

Methods:

This is a retrospective diagnostic accuracy study which compares the radiologist's diagnosis of bronchiectasis with the ICD code reflection of that diagnosis at discharge.

Results:

Sensitivities were 34% (same for both ICD-9-CM and ICD-10-CM windows) and specificities ranged from 69% for the ICD-9-CM window to 81% for ICD-10-CM window.

Conclusion:

We observed that ICD codes are an insufficient method to identify patients with a radiologist diagnosis of bronchiectasis.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ERJ Open Res Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: ERJ Open Res Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom