The Best Use of the Charlson Comorbidity Index With Electronic Health Care Database to Predict Mortality
Bibliographic Data
| ID | 9099741 |
|---|---|
| Authors | Aurélie Bannay (0000-0002-1631-566X, corresponding author), C Chaignot (0000-0002-1477-9401, l'Assurance Maladie), Pierre-Olivier Blotière, Pierre‐Olivier Blotière (0000-0002-6857-6781, l'Assurance Maladie), Mickaël Basson (l'Assurance Maladie), Alain Weill (0000-0001-8687-9092, l'Assurance Maladie), Philippe Ricordeau, François Alla (0000-0002-5793-7190, l'Assurance Maladie) |
| Year | 2016 |
| Volume | 54 |
| Issue | 2 |
| Pages | 188-194 |
| Publication date | 2016-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000471 |
| PMID | 26683778 |
| OpenAlex | W2199914463 |
| Language | EN |
| Citations received | 15 |
| References cited | 18 |
BACKGROUND: The most used score to measure comorbidity is the Charlson index. Its application to a health care administrative database including International Classification of Diseases, 10th edition (ICD-10) codes, medical procedures, and medication required studying its properties on survival. Our objectives were to adapt the Charlson comorbidity index to the French National Health Insurance database to predict 1-year mortality of discharged patients and to compare discrimination and calibration of different versions of the Charlson index. METHODS: Our cohort included all adults discharged from a hospital stay in France in 2010 registered in the French National Health Insurance general scheme. The pathologies of the Charlson index were identified through ICD-10 codes of discharge diagnoses and long-term disease, specific medical procedures, and reimbursement of specific medications in the past 12 months before inclusion. RESULTS: We included 6,602,641 subjects at the date of their first discharge from medical, surgical, or obstetrical department in 2010. One-year survival was 94.88%, decreasing from 98.41% for Charlson index of 0-71.64% for Charlson index of ≥5. With a discrimination of 0.91 and an appropriate calibration curve, we retained the crude Cox model including the age-adjusted Charlson index as a 4-level score. CONCLUSIONS: Our study is the first to adapt the Charlson index to a large health care database including >6 million of inpatients. When mortality is the outcome, we recommended using the age-adjusted Charlson index as 4-level score to take into account comorbidities
Charlson comorbidity index · Comorbidity · Database · Index (typography) · MEDLINE · World Wide Web · Chronic Disease Management Strategies · Computer Science · Emergency Medicine · Internal Medicine · Medical Coding and Health Information · Medicine · Sepsis Diagnosis and Treatment · Gerontology
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| Unique citing works | 15 |
|---|---|
| Citations per year | 2,14 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 15 |