Literature DB >> 29055145

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

Mandy Prat1,2, Hélène Derumeaux3, Laurent Sailler1,2,4, Maryse Lapeyre-Mestre1,2,5, Guillaume Moulis1,2,4.   

Abstract

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.
© 2017 Société Française de Pharmacologie et de Thérapeutique.

Entities:  

Keywords:  ICD-10; arterial thrombosis; positive predictive value; pulmonary embolism; validation study; venous thrombosis

Mesh:

Year:  2017        PMID: 29055145     DOI: 10.1111/fcp.12326

Source DB:  PubMed          Journal:  Fundam Clin Pharmacol        ISSN: 0767-3981            Impact factor:   2.748


  4 in total

1.  Hospitalisations with infections related to antimicrobial-resistant bacteria from the French nationwide hospital discharge database, 2016.

Authors:  M Opatowski; P Tuppin; K Cosker; M Touat; G De Lagasnerie; D Guillemot; J Salomon; C Brun-Buisson; L Watier
Journal:  Epidemiol Infect       Date:  2019-01       Impact factor: 2.451

2.  Intra-database validation of case-identifying algorithms using reconstituted electronic health records from healthcare claims data.

Authors:  Nicolas H Thurin; Pauline Bosco-Levy; Patrick Blin; Magali Rouyer; Jérémy Jové; Stéphanie Lamarque; Séverine Lignot; Régis Lassalle; Abdelilah Abouelfath; Emmanuelle Bignon; Pauline Diez; Marine Gross-Goupil; Michel Soulié; Mathieu Roumiguié; Sylvestre Le Moulec; Marc Debouverie; Bruno Brochet; Francis Guillemin; Céline Louapre; Elisabeth Maillart; Olivier Heinzlef; Nicholas Moore; Cécile Droz-Perroteau
Journal:  BMC Med Res Methodol       Date:  2021-05-01       Impact factor: 4.615

3.  Impact of COVID-19 and lockdowns on pulmonary embolism in hospitalized patients in France: a nationwide study.

Authors:  Pierre Tankere; Jonathan Cottenet; Pascale Tubert-Bitter; Anne-Sophie Mariet; Guillaume Beltramo; Jacques Cadranel; Lionel Piroth; Philippe Bonniaud; Catherine Quantin
Journal:  Respir Res       Date:  2021-11-20

4.  Association of Atrial Fibrillation With Incidence of Extracranial Systemic Embolic Events: The ARIC Study.

Authors:  Mengyuan Shi; Lin Y Chen; Wobo Bekwelem; Faye L Norby; Elsayed Z Soliman; Aniqa B Alam; Alvaro Alonso
Journal:  J Am Heart Assoc       Date:  2020-08-31       Impact factor: 5.501

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.