3 In the newer ICD-10 coding classification system, the diagnosis code for obesity (ICD-10 code E66) contains several subtypes, ranging from overweight (E660A) to morbid obesity (E660G and E660H). 3 They found a positive predictive value (PPV) of obesity diagnosis of 85% among women and 95% among men, when compared with the patients’ medical charts as gold standard. More than 20 years ago, Wolk et al validated the use of the ICD, version 8, diagnosis code for obesity (ICD-8 code 277) in the Swedish National Patient Register. 21, 22 Use of hospital discharge registries can be a valuable and cost-effective source for epidemiological research in obesity, if diagnoses are valid. Hospital diagnosis codes for overweight and obesity exist in the ICD, 4 and the prevalence of hospital contacts with diagnoses of overweight/obesity has increased in Denmark during the past decades. 10 – 20 Therefore, valid data on obesity are important in many epidemiological studies of risk and prognosis. 5 – 9 Obesity may also influence the clinical course of many medical diseases. Obesity is a globally increasing health problem and a risk factor for major diseases including diabetes, 1 cardiovascular disease, 2 cancer, 3, 4 and premature death.
The authors do not have special access privileges to these data. Access to data from the Danish Health Data Authority requires approval from the Danish Data Protection Agency ( ). Up-to-date information on data access is available online ( ). Interested researchers may apply for data access through the Research Service at the Danish Health Data Authority (e-mail: phone: +45 3268 5116). According to Danish legislation, our own approvals to use the Danish data sources for the current study do not allow us to distribute or make patient data directly available to other parties. Available from:ĭata are available as presented in the paper. Anbefalinger for svangreomsorgen København 2013. The Danish Health and Medicines Authorities.
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