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Positive predictive value and sensitivity of ICD-9-CM codes for identifying pediatric leukemia.
Weinmann, Sheila; Francisco, Melanie C; Kwan, Marilyn L; Bowles, Erin J A; Rahm, Alanna Kulchak; Greenlee, Robert T; Stout, Natasha K; Pole, Jason D; Kushi, Lawrence H; Smith-Bindman, Rebecca; Miglioretti, Diana L.
Afiliação
  • Weinmann S; Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA.
  • Francisco MC; Center for Integrated Health Research, Kaiser Permanente Hawaii, Honolulu, Hawaii, USA.
  • Kwan ML; Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA.
  • Bowles EJA; Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
  • Rahm AK; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, Washington, USA.
  • Greenlee RT; Center for Health Research, Genomic Medicine Institute, Geisinger Health System, Danville, Pennsylvania, USA.
  • Stout NK; Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, Wisconsin, USA.
  • Pole JD; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
  • Kushi LH; The Hospital for Sick Children, Toronto, Ontario, Canada.
  • Smith-Bindman R; ICES, Toronto, Ontario, Canada.
  • Miglioretti DL; Centre for Health Services Research, The University of Queensland, Brisbane, Queensland, Australia.
Pediatr Blood Cancer ; 69(2): e29383, 2022 02.
Article em En | MEDLINE | ID: mdl-34773439
ABSTRACT

BACKGROUND:

To facilitate community-based epidemiologic studies of pediatric leukemia, we validated use of ICD-9-CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996-2015 and evaluated the additional contributions of procedure codes for diagnosis/treatment. PROCEDURES Subjects (N = 408) were children and adolescents born in the health systems and enrolled for at least 120 days after the date of the first leukemia ICD-9-CM code or tumor registry diagnosis. The gold standard was the health system tumor registry and/or medical record review. We calculated positive predictive value (PPV) and sensitivity by number of ICD-9-CM codes received in the 120-day period following and including the first code. We evaluated whether adding chemotherapy and/or bone marrow biopsy/aspiration procedure codes improved PPV and/or sensitivity.

RESULTS:

Requiring receipt of one or more codes resulted in 99% sensitivity (95% confidence interval [CI] 98-100%) but poor PPV (70%; 95% CI 66-75%). Receipt of two or more codes improved PPV to 90% (95% CI 86-93%) with 96% sensitivity (95% CI 93-98%). Requiring at least four codes maximized PPV (95%; 95% CI 92-98%) without sacrificing sensitivity (93%; 95% CI 89-95%). Across health plans, PPV for four codes ranged from 84-100% and sensitivity ranged from 83-95%. Including at least one code for a bone marrow procedure or chemotherapy treatment had minimal impact on PPV or sensitivity.

CONCLUSIONS:

The use of diagnosis codes from the electronic health record has high PPV and sensitivity for identifying leukemia in children and adolescents if more than one code is required.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia / Classificação Internacional de Doenças Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia / Classificação Internacional de Doenças Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article