Ascertainment of acute liver injury in two European primary care databases.

Purpose: The purpose of this study was to ascertain acute liver injury (ALI) in primary care databases using different computer algorithms. The aim of this investigation was to study and compare the incidence of ALI in different primary care databases and using different definitions of ALI. Methods:...

Descripción completa

Detalles Bibliográficos
Publicado en:European Journal of Clinical Pharmacology Vol. 70; no. 10; pp. 1227 - 1236
Autores principales: Ruigómez, A., Brauer, R., Rodríguez, L., Huerta, C., Requena, G., Gil, M., Abajo, Francisco, Downey, G., Bate, A., Tepie, M., Groot, M., Schlienger, R., Reynolds, R., Klungel, O.
Formato: research tables/charts Journal Article
Publicado: Springer Nature Oct2014
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103887937&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 103887937
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        00316970
        NP9
      jtl: European Journal of Clinical Pharmacology
      issn: 00316970
      maglogo: N
    pubinfo:
      dt: Oct2014
      vid: 70
      iid: 10
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        103887937
        97983551
        10.1007/s00228-014-1721-y
        NLM25066450
        103887937
      ppf: 1227
      ppct: 9
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Ascertainment of acute liver injury in two European primary care databases.
      aug:
        au:
          Ruigómez, A.
          Brauer, R.
          Rodríguez, L.
          Huerta, C.
          Requena, G.
          Gil, M.
          Abajo, Francisco
          Downey, G.
          Bate, A.
          Tepie, M.
          Groot, M.
          Schlienger, R.
          Reynolds, R.
          Klungel, O.
        affil: Centro Español de Investigación Farmacoepidemiologica (CEIFE), Almirante 28, 2° 28004 Madrid Spain
      sug:
        subj:
          Liver Injuries
          Acute Disease Epidemiology
          Primary Health Care
          Databases
          Acute Disease Classification
          Incidence
          Europe
          Human
          Random Sample
          Models, Statistical
          Algorithms
          Confidence Intervals
          Funding Source
      ab: Purpose: The purpose of this study was to ascertain acute liver injury (ALI) in primary care databases using different computer algorithms. The aim of this investigation was to study and compare the incidence of ALI in different primary care databases and using different definitions of ALI. Methods: The Clinical Practice Research Datalink (CPRD) in UK and the Spanish 'Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria' (BIFAP) were used. Both are primary care databases from which we selected individuals of all ages registered between January 2004 and December 2009. We developed two case definitions of idiopathic ALI using computer algorithms: (i) restrictive definition (definite cases) and (ii) broad definition (definite and probable cases). Patients presenting prior liver conditions were excluded. Manual review of potential cases was performed to confirm diagnosis, in a sample in CPRD (21 %) and all potential cases in BIFAP. Incidence rates of ALI by age, sex and calendar year were calculated. Results: In BIFAP, all cases considered definite after manual review had been detected with the computer algorithm as potential cases, and none came from the non-cases group. The restrictive definition of ALI had a low sensitivity but a very high specificity (95 % in BIFAP) and showed higher rates of agreement between computer search and manual review compared to the broad definition. Higher incidence rates of definite ALI in 2008 were observed in BIFAP (3.01 (95 % confidence interval (CI) 2.13-4.25) per 100,000 person-years than CPRD (1.35 (95 % CI 1.03-1.78)). Conclusions: This study shows that it is feasible to identify ALI cases if restrictive selection criteria are used and the possibility to review additional information to rule out differential diagnoses. Our results confirm that idiopathic ALI is a very rare disease in the general population. Finally, the construction of a standard definition with predefined criteria facilitates the timely comparison across databases.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N