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Positive predictive values of peripheral arterial and venous thrombosis codes in French hospital database.

Mandy PratHélène DerumeauxLaurent SaillerMaryse Lapeyre MestreGuillaume Moulis
Published in: Fundamental & clinical pharmacology (2017)
French hospital database, called Programme de Médicalisation des Systèmes d'Information (PMSI), covers all hospital stays in France (>66 million inhabitants). The aim of this study was to estimate the positive predictive values (PPVs) of primary diagnosis codes of peripheral arterial and venous thrombosis codes in the PMSI, encoded with the International Classification of Diseases, 10th revision. Data were extracted from the PMSI database of Toulouse University Hospital, south of France. We identified all the hospital stays in 2015 with a code of peripheral arterial or venous thrombosis as primary diagnosis. We randomly selected 100 stays for each category of thrombosis and reviewed the corresponding medical charts. The PPV of peripheral arterial thrombosis codes was 83.0%, 95% confidence interval (CI): 73.9-89.1, and the PPV of correct location of thrombosis was 81.0%, 95% CI: 72.2-87.5. The PPV of pulmonary embolism was 99.0%, 95% CI: 93.8-99.9. The PPV of peripheral venous thrombosis was 95.0%, 95% CI: 88.2-98.1, and the PPV of correct location of thrombosis was 85.0%, 95% CI: 76.7-90.7. Primary diagnoses of peripheral arterial and venous thrombosis demonstrated good PPVs in the PMSI.
Keyphrases
  • pulmonary embolism
  • adverse drug
  • chemotherapy induced
  • healthcare
  • inferior vena cava
  • acute care
  • machine learning
  • deep learning
  • clinical trial
  • emergency department
  • artificial intelligence
  • drug induced