Literature DB >> 22534488

Positive predictive value of the International Classification of Diseases, 10th revision, codes to identify osteonecrosis of the jaw in patients with cancer.

Henrik Gammelager1, Rune Erichsen, Sussie Antonsen, Sven Erik Nørholt, Bjarne Neumann-Jensen, Vera Ehrenstein, John Acquavella, Henrik Toft Sørensen.   

Abstract

BACKGROUND: Osteonecrosis of the jaw (ONJ) is an important adverse event associated with therapies suppressing bone turnover, especially in patients with high-dose regimens of antiresorptive therapy, such as cancer patients. Danish health registries are an important resource for monitoring side effects of drugs. The International Classification of Diseases, 10th revision (ICD-10), currently used in Denmark, does not have a specific code for ONJ, making it difficult to monitor its occurrence.
OBJECTIVES: To estimate the positive predictive value (PPV) for ONJ of currently used ICD-10 codes, suggested by Danish oral and maxillofacial surgeons, in order to assess feasibility of identification of ONJ cases among cancer patients in the Danish National Registry of Patients (DNRP).
METHODS: This study was conducted in northern Denmark (1.8 million inhabitants) among patients with a history of cancer. In Denmark ONJ cases are referred to hospital-based departments of oral and maxillofacial surgery (DOMS). In the DNRP, we identified patients with potential ONJ diagnosed at DOMS (as suggested by a series of ICD-10 codes) from 1 January 2005 to 31 December 2009. To confirm or rule out ONJ, we reviewed hospital records of these patients originating from DOMS. A confirmed ONJ case was defined by the presence of exposed maxillofacial bone for 8 weeks or more, in the absence of previous craniofacial radiation therapy. The PPV was the proportion of confirmed cases among all potential cases.
RESULTS: Among 85,910 eligible cancer patients, we identified 91 (0.11%) potential cases of ONJ, of which 18 were confirmed. The overall PPV was 20% (95% CI: 12-29%), ranging from 0% to50% for individual ICD-10 codes.
CONCLUSIONS: A majority of cases identified by the suggested ICD-10 codes did not fulfill the criteria for ONJ, even though the potential cases were identified at DOMS. Therefore, reliance on ICD-10 codes, without hospital chart review, will lead to an overestimation of the occurrence of ONJ among cancer patients.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22534488     DOI: 10.1016/j.canep.2012.03.012

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  5 in total

1.  Risk of Jaw Osteonecrosis After Intravenous Bisphosphonates in Cancer Patients and Patients Without Cancer.

Authors:  James S Goodwin; Jie Zhou; Yong-Fang Kuo; Jacques Baillargeon
Journal:  Mayo Clin Proc       Date:  2016-11-19       Impact factor: 7.616

2.  Existing data sources for clinical epidemiology: Scandinavian Cohort for osteonecrosis of the jaw - work in progress and challenges.

Authors:  Morten Schiodt; Cecilia Larsson Wexell; Bente Brokstad Herlofson; Karen Marie Giltvedt; Sven Erik Norholt; Vera Ehrenstein
Journal:  Clin Epidemiol       Date:  2015-01-30       Impact factor: 4.790

3.  Osteonecrosis of the jaw and survival of patients with cancer: a nationwide cohort study in Denmark.

Authors:  Priscila Corraini; Uffe Heide-Jørgensen; Morten Schiødt; Sven Erik Nørholt; John Acquavella; Henrik Toft Sørensen; Vera Ehrenstein
Journal:  Cancer Med       Date:  2017-09-21       Impact factor: 4.452

4.  Validity of an algorithm to identify osteonecrosis of the jaw in women with postmenopausal osteoporosis in the Danish National Registry of Patients.

Authors:  Henrik Gammelager; Claus Sværke; Sven Erik Noerholt; Bjarne Neumann-Jensen; Fei Xue; Cathy Critchlow; Johan Bergdahl; Ylva Trolle Lagerros; Helle Kieler; Grethe S Tell; Vera Ehrenstein
Journal:  Clin Epidemiol       Date:  2013-08-01       Impact factor: 4.790

Review 5.  The Danish National Patient Registry: a review of content, data quality, and research potential.

Authors:  Morten Schmidt; Sigrun Alba Johannesdottir Schmidt; Jakob Lynge Sandegaard; Vera Ehrenstein; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2015-11-17       Impact factor: 4.790

  5 in total

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