Administrative coding for non-alcoholic fatty liver disease is accurate in Swedish patients

被引:14
作者
Astrom, Hanne [5 ,1 ]
Wester, Axel [1 ]
Hagstrom, Hannes [1 ,2 ]
机构
[1] Karolinska Inst, Dept Med, Stockholm, Sweden
[2] Karolinska Univ Hosp, Dept Upper GI, Div Hepatol, Stockholm, Sweden
关键词
ICD-10; non-alcoholic fatty liver disease; type; 2; diabetes; FIBROSIS; VALIDATION;
D O I
10.1080/00365521.2023.2185475
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background and Aims: Epidemiological studies of non-alcoholic fatty liver disease (NAFLD) frequently use the International Classification of Disease (ICD) codes to identify patients. The validity of such ICD codes in a Swedish setting is unknown. Here, we aimed to validate the administrative code for NAFLD in Sweden.Methods: In total, 150 patients with an ICD-10 code for NAFLD (K76.0) from the Karolinska University Hospital between 1 January 2015 and 3 November 2021 were randomly selected. Patients were classified as true or false positives for NAFLD by medical chart review and the positive predictive value (PPV) for the ICD-10 code corresponding to NAFLD was calculated.Results: The PPV of the ICD-10 code for NAFLD was 0.82 (95% confidence interval [CI] = 0.76-0.89). After exclusion of patients with diagnostic coding for other liver diseases or alcohol abuse disorder (n = 14), the PPV was improved to 0.91 (95% CI 0.87-0.96). The PPV was higher in patients with coding for NAFLD in combination with obesity (0.95, 95%CI = 0.87-1.00) or type 2 diabetes (0.96, 95%CI = 0.89-1.00). However, in false-positive cases, a high alcohol consumption was common and such patients had somewhat higher Fibrosis-4 scores than true-positive patients (1.9 vs 1.3, p = 0.16)Conclusions: The ICD-10 code for NAFLD had a high PPV, that was further improved after exclusion of patients with coding for other liver diseases than NAFLD. This approach should be preferred when performing register-based studies to identify patients with NAFLD in Sweden. Still, residual alcohol-related liver disease might risk confound some findings seen in epidemiological studies which needs to be considered.
引用
收藏
页码:931 / 936
页数:6
相关论文
共 33 条
[1]   Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease [J].
Alexander, Myriam ;
Loomis, A. Katrina ;
Fairburn-Beech, Jolyon ;
van der Lei, Johan ;
Duarte-Salles, Talita ;
Prieto-Alhambra, Daniel ;
Ansell, David ;
Pasqua, Alessandro ;
Lapi, Francesco ;
Rijnbeek, Peter ;
Mosseveld, Mees ;
Avillach, Paul ;
Egger, Peter ;
Kendrick, Stuart ;
Waterworth, Dawn M. ;
Sattar, Naveed ;
Alazawi, William .
BMC MEDICINE, 2018, 16
[2]   Assessment of obesity prevalence and validity of obesity diagnoses coded in claims data for selected surgical populations A retrospective, observational study [J].
Ammann, Eric M. ;
Kalsekar, Iftekhar ;
Yoo, Andrew ;
Scamuffa, Robin ;
Hsiao, Chia-Wen ;
Stokes, Andrew C. ;
Morton, John M. ;
Johnston, Stephen S. .
MEDICINE, 2019, 98 (29) :e16438
[3]  
Ando Yumi, 2021, Clin Liver Dis (Hoboken), V17, P23, DOI 10.1002/cld.1045
[4]   The risk of hepatocellular carcinoma in cirrhosis differs by etiology, age and sex: A Swedish nationwide population-based cohort study [J].
Bengtsson, Bonnie ;
Widman, Linnea ;
Wahlin, Staffan ;
Stal, Per ;
Bjorkstrom, Niklas K. ;
Hagstrom, Hannes .
UNITED EUROPEAN GASTROENTEROLOGY JOURNAL, 2022, 10 (05) :465-476
[5]   Validity of administrative codes associated with cirrhosis in Sweden [J].
Bengtsson, Bonnie ;
Askling, Johan ;
Ludvigsson, Jonas F. ;
Hagstrom, Hannes .
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY, 2020, 55 (10) :1205-1210
[6]   Development and Validation of an Algorithm to Identify Nonalcoholic Fatty Liver Disease in the Electronic Medical Record [J].
Corey, Kathleen E. ;
Kartoun, Uri ;
Zheng, Hui ;
Shaw, Stanley Y. .
DIGESTIVE DISEASES AND SCIENCES, 2016, 61 (03) :913-919
[7]   Development of an Algorithm to Identify Cases of Nonalcoholic Steatohepatitis Cirrhosis in the Electronic Health Record [J].
Danford, Christopher J. ;
Lee, Jennifer Y. ;
Strohbehn, Ian A. ;
Corey, Kathleen E. ;
Lai, Michelle .
DIGESTIVE DISEASES AND SCIENCES, 2021, 66 (05) :1452-1460
[8]  
EASL, 2016, OBESITY FACTS, V9, P65, DOI [10.1159/000443344, 10.1007/s00125-016-3902-y, 10.1016/j.jhep.2015.11.004]
[9]   Validity of ICD-9 and ICD-10 codes used to identify acute liver injury: A study in three European data sources [J].
Forns, Joan ;
Cainzos-Achirica, Miguel ;
Hellfritzsch, Maja ;
Morros, Rosa ;
Poblador-Plou, Beatriz ;
Hallas, Jesper ;
Giner-Soriano, Maria ;
Prados-Torres, Alexandra ;
Pottegard, Anton ;
Cortes, Jordi ;
Castellsague, Jordi ;
Jacquot, Emmanuelle ;
Deltour, Nicolas ;
Perez-Gutthann, Susana ;
Pladevall, Manel .
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2019, 28 (07) :965-975
[10]   Administrative Coding in Electronic Health Care Record-Based Research of NAFLD: An Expert Panel Consensus Statement [J].
Hagstrom, Hannes ;
Adams, Leon A. ;
Allen, Alina M. ;
Byrne, Christopher D. ;
Chang, Yoosoo ;
Gronbaek, Henning ;
Ismail, Mona ;
Jepsen, Peter ;
Kanwal, Fasiha ;
Kramer, Jennifer ;
Lazarus, Jeffrey V. ;
Long, Michelle T. ;
Loomba, Rohit ;
Newsome, Philip N. ;
Rowe, Ian A. ;
Ryu, Seungho ;
Schattenberg, Jorn M. ;
Serper, Marina ;
Sheron, Nick ;
Simon, Tracey G. ;
Tapper, Elliot B. ;
Wild, Sarah ;
Wong, Vincent Wai-Sun ;
Yilmaz, Yusuf ;
Zelber-Sagi, Shira ;
Aberg, Fredrik .
HEPATOLOGY, 2021, 74 (01) :474-482