Value of the International Classification of Diseases code for identifying children with biliary atresia.

Administrative Child Cirrhosis Coding Jaundice

Journal

Clinical and experimental pediatrics
ISSN: 2713-4148
Titre abrégé: Clin Exp Pediatr
Pays: Korea (South)
ID NLM: 101761234

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 23 03 2020
accepted: 25 07 2020
pubmed: 4 9 2020
medline: 4 9 2020
entrez: 4 9 2020
Statut: ppublish

Résumé

Although identifying cases in large administrative databases may aid future research studies, previous reports demonstrated that the use of the International Classification of Diseases, Tenth Revision (ICD-10) code alone for diagnosis leads to disease misclassification. We aimed to assess the value of the ICD-10 diagnostic code for identifying potential children with biliary atresia. Patients aged <18 years assigned the ICD-10 code of biliary atresia (Q44.2) between January 1996 and December 2016 at a quaternary care teaching hospital were identified. We also reviewed patients with other diagnoses of code-defined cirrhosis to identify more potential cases of biliary atresia. A proposed diagnostic algorithm was used to define ICD-10 code accuracy, sensitivity, and specificity. We reviewed the medical records of 155 patients with ICD-10 code Q44.2 and 69 patients with other codes for biliary cirrhosis (K74.4, K74.5, K74.6). The accuracy for identifying definite/probable/possible biliary atresia cases was 80%, while the sensitivity was 88% (95% confidence interval [CI], 82%-93%). Three independent predictors were associated with algorithm-defined definite/probable/possible cases of biliary atresia: ICD-10 code Q44.2 (odds ratio [OR], 2.90; 95% CI, 1.09-7.71), history of pale stool (OR, 2.78; 95% CI, 1.18-6.60), and a presumed diagnosis of biliary atresia prior to referral to our hospital (OR, 17.49; 95% CI, 7.01-43.64). A significant interaction was noted between ICD-10 code Q44.2 and a history of pale stool (P<0.05). The area under the curve was 0.87 (95% CI, 0.84-0.89). ICD-10 code Q44.2 has an acceptable value for diagnosing biliary atresia. Incorporating clinical data improves the case identification. The use of this proposed diagnostic algorithm to examine data from administrative databases may facilitate appropriate health care allocation and aid future research investigations.

Sections du résumé

BACKGROUND BACKGROUND
Although identifying cases in large administrative databases may aid future research studies, previous reports demonstrated that the use of the International Classification of Diseases, Tenth Revision (ICD-10) code alone for diagnosis leads to disease misclassification.
PURPOSE OBJECTIVE
We aimed to assess the value of the ICD-10 diagnostic code for identifying potential children with biliary atresia.
METHODS METHODS
Patients aged <18 years assigned the ICD-10 code of biliary atresia (Q44.2) between January 1996 and December 2016 at a quaternary care teaching hospital were identified. We also reviewed patients with other diagnoses of code-defined cirrhosis to identify more potential cases of biliary atresia. A proposed diagnostic algorithm was used to define ICD-10 code accuracy, sensitivity, and specificity.
RESULTS RESULTS
We reviewed the medical records of 155 patients with ICD-10 code Q44.2 and 69 patients with other codes for biliary cirrhosis (K74.4, K74.5, K74.6). The accuracy for identifying definite/probable/possible biliary atresia cases was 80%, while the sensitivity was 88% (95% confidence interval [CI], 82%-93%). Three independent predictors were associated with algorithm-defined definite/probable/possible cases of biliary atresia: ICD-10 code Q44.2 (odds ratio [OR], 2.90; 95% CI, 1.09-7.71), history of pale stool (OR, 2.78; 95% CI, 1.18-6.60), and a presumed diagnosis of biliary atresia prior to referral to our hospital (OR, 17.49; 95% CI, 7.01-43.64). A significant interaction was noted between ICD-10 code Q44.2 and a history of pale stool (P<0.05). The area under the curve was 0.87 (95% CI, 0.84-0.89).
CONCLUSION CONCLUSIONS
ICD-10 code Q44.2 has an acceptable value for diagnosing biliary atresia. Incorporating clinical data improves the case identification. The use of this proposed diagnostic algorithm to examine data from administrative databases may facilitate appropriate health care allocation and aid future research investigations.

Identifiants

pubmed: 32882783
pii: cep.2020.00423
doi: 10.3345/cep.2020.00423
pmc: PMC7873393
doi:

Types de publication

Journal Article

Langues

eng

Pagination

80-85

Références

J Pediatr Surg. 2015 Mar;50(3):363-70
pubmed: 25746690
JAMA. 2012 Apr 4;307(13):1405-13
pubmed: 22474204
J Pediatr Gastroenterol Nutr. 2013 Apr;56(4):344-54
pubmed: 23263590
J Pediatr Surg. 2015 Feb;50(2):293-6
pubmed: 25638622
J Pediatr Surg. 2016 May;51(5):753-61
pubmed: 26932252
Ann Epidemiol. 2013 Mar;23(3):136-42
pubmed: 23313264
Dig Dis Sci. 2010 Sep;55(9):2592-8
pubmed: 20033847
Pediatr Gastroenterol Hepatol Nutr. 2015 Sep;18(3):175-9
pubmed: 26473137
Lancet. 2009 Nov 14;374(9702):1704-13
pubmed: 19914515
PLoS One. 2011 Jan 20;6(1):e15603
pubmed: 21283751
Ann Epidemiol. 2006 Sep;16(9):696-700
pubmed: 16516491
N Engl J Med. 1988 Feb 11;318(6):352-5
pubmed: 3123929
Aliment Pharmacol Ther. 2008 Dec 1;28(11-12):1309-16
pubmed: 18761703
Nat Rev Gastroenterol Hepatol. 2015 Jun;12(6):342-52
pubmed: 26008129
World J Pediatr. 2016 Feb;12(1):35-43
pubmed: 26684313
J Hepatol. 2016 Sep;65(3):631-42
pubmed: 27164551

Auteurs

Pornthep Tanpowpong (P)

Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Chatmanee Lertudomphonwanit (C)

Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Pornpimon Phuapradit (P)

Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Suporn Treepongkaruna (S)

Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Classifications MeSH