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Accuracy of Influenza ICD-10 Diagnosis Codes in Identifying Influenza Illness in Children.
Antoon, James W; Stopczynski, Tess; Amarin, Justin Z; Stewart, Laura S; Boom, Julie A; Sahni, Leila C; Michaels, Marian G; Williams, John V; Englund, Janet A; Klein, Eileen J; Staat, Mary A; Schlaudecker, Elizabeth P; Selvarangan, Rangaraj; Schuster, Jennifer E; Weinberg, Geoffrey A; Szilagyi, Peter G; Perez, Ariana; Moline, Heidi L; Spieker, Andrew J; Grijalva, Carlos G; Olson, Samantha M; Halasa, Natasha B.
Afiliação
  • Antoon JW; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Stopczynski T; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Amarin JZ; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Stewart LS; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Boom JA; Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas.
  • Sahni LC; Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas.
  • Michaels MG; Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Williams JV; Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Englund JA; Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington, Washington.
  • Klein EJ; Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington, Washington.
  • Staat MA; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio.
  • Schlaudecker EP; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio.
  • Selvarangan R; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, Missouri.
  • Schuster JE; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, Missouri.
  • Weinberg GA; Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York.
  • Szilagyi PG; Department of Pediatrics, UCLA Mattel Children's Hospital, Los Angeles, California.
  • Perez A; Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Moline HL; Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Spieker AJ; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Grijalva CG; Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Olson SM; Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
  • Halasa NB; Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
JAMA Netw Open ; 7(4): e248255, 2024 Apr 01.
Article em En | MEDLINE | ID: mdl-38656577
ABSTRACT
Importance Studies of influenza in children commonly rely on coded diagnoses, yet the ability of International Classification of Diseases, Ninth Revision codes to identify influenza in the emergency department (ED) and hospital is highly variable. The accuracy of newer International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes to identify influenza in children is unknown.

Objective:

To determine the accuracy of ICD-10 influenza discharge diagnosis codes in the pediatric ED and inpatient settings. Design, Setting, and

Participants:

Children younger than 18 years presenting to the ED or inpatient settings with fever and/or respiratory symptoms at 7 US pediatric medical centers affiliated with the Centers for Disease Control and Prevention-sponsored New Vaccine Surveillance Network from December 1, 2016, to March 31, 2020, were included in this cohort study. Nasal and/or throat swabs were collected for research molecular testing for influenza, regardless of clinical testing. Data, including ICD-10 discharge diagnoses and clinical testing for influenza, were obtained through medical record review. Data analysis was performed in August 2023. Main Outcomes and

Measures:

The accuracy of ICD-10-coded discharge diagnoses was characterized using molecular clinical or research laboratory test results as reference. Measures included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Estimates were stratified by setting (ED vs inpatient) and age (0-1, 2-4, and 5-17 years).

Results:

A total of 16 867 children in the ED (median [IQR] age, 2.0 [0.0-4.0] years; 9304 boys [55.2%]) and 17 060 inpatients (median [IQR] age, 1.0 [0.0-4.0] years; 9798 boys [57.4%]) were included. In the ED, ICD-10 influenza diagnoses were highly specific (98.0%; 95% CI, 97.8%-98.3%), with high PPV (88.6%; 95% CI, 88.0%-89.2%) and high NPV (85.9%; 95% CI, 85.3%-86.6%), but sensitivity was lower (48.6%; 95% CI, 47.6%-49.5%). Among inpatients, specificity was 98.2% (95% CI, 98.0%-98.5%), PPV was 82.8% (95% CI, 82.1%-83.5%), sensitivity was 70.7% (95% CI, 69.8%-71.5%), and NPV was 96.5% (95% CI, 96.2%-96.9%). Accuracy of ICD-10 diagnoses varied by patient age, influenza season definition, time between disease onset and testing, and clinical setting. Conclusions and Relevance In this large cohort study, influenza ICD-10 discharge diagnoses were highly specific but moderately sensitive in identifying laboratory-confirmed influenza; the accuracy of influenza diagnoses varied by clinical and epidemiological factors. In the ED and inpatient settings, an ICD-10 diagnosis likely represents a true-positive influenza case.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Influenza Humana Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Classificação Internacional de Doenças / Influenza Humana Idioma: En Ano de publicação: 2024 Tipo de documento: Article