Literature DB >> 20035528

Longitudinal study on pediatric dyslipidemia in population-based claims database.

Jie Li1, Stephen P Motsko, Earl L Goehring, Ruby Vendiola, Mary Maneno, Judith K Jones.   

Abstract

PURPOSE: To examine the rate of lipid testing among children from a large US medical insurance claims database, describe the characteristics of pediatric dyslipidemia, and assess the sensitivity of the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes for identifying dyslipidemic children.
METHODS: This retrospective cohort study used the claims data from the Integrated Healthcare Information Services (IHCIS), for the years 2003-2006. Two study cohorts consisted of children with laboratory-defined and diagnosis/treatment-defined dyslipidemia, respectively. They were compared to age- and gender-matched children without dyslipidemia, with respect to co-morbidities during the 6-month prior to and 12-month after the first dyslipidemic laboratory value or diagnosis/treatment.
RESULTS: Seven per cent of the children who had laboratory values available in the database had a cholesterol test during the study period. Only 15% of laboratory-defined children (n = 23,475) had a dyslipidemia diagnosis. Cholesterol-modifying medications were rarely prescribed. Substantially more laboratory-defined children than their comparators were obese (8 times), had diabetes mellitus (10 times), or had hypertension (5 times). These co-morbidities were even higher among diagnosis/treatment-defined children.
CONCLUSIONS: The rate of lipid testing among children was low. The ICD-9-CM diagnostic codes showed low sensitivity against laboratory definitions. Though only a small proportion of dyslipidemic children were diagnosed or treated with a medication, co-morbidities associated with dyslipidemia were common.

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Year:  2010        PMID: 20035528     DOI: 10.1002/pds.1877

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  2 in total

1.  Using Electronic Medical Record to Identify Patients With Dyslipidemia in Primary Care Settings: International Classification of Disease Code Matters From One Region to a National Database.

Authors:  Justin Oake; Erfan Aref-Eshghi; Marshall Godwin; Kayla Collins; Kris Aubrey-Bassler; Pauline Duke; Masoud Mahdavian; Shabnam Asghari
Journal:  Biomed Inform Insights       Date:  2017-02-10

2.  A reappraisal of the prevalence of pediatric hypertension through a nationwide database in Taiwan.

Authors:  Wan-Fu Hsu; Yi-Wei Kao; Ben-Chang Shia; Kai-Sheng Hsieh; Mingchih Chen; Huei-Chen Chiang; Shih-Yen Chen; Meng-Che Lu
Journal:  Sci Rep       Date:  2021-02-24       Impact factor: 4.379

  2 in total

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