Identification of atypical pediatric diabetes mellitus cases using electronic medical records

IntroductionThere are no established methods to identify children with atypical diabetes for further study. We aimed to develop strategies to systematically ascertain cases of atypical pediatric diabetes using electronic medical records (EMR).Research design and methodsWe tested two strategies in a...

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Veröffentlicht in:	BMJ open diabetes research & care 2024-11, Vol.12 (6), p.e004471
Hauptverfasser:	Billings, Liana K, Kreienkamp, Raymond, Tosur, Mustafa, Liu, Pengfei, Migacz, Iliana, Posey, Jennifer, Ram, Nalini, Siller, Alejandro, Venner, Eric, Astudillo, Marcela, Dai, Hongzheng, Desai, Dimpi, Ideouzu, Adrienne, Montes, Graciela, Wong, Lee-Jun, Chung, Wendy K, Leibel, Rudolph, Lonier, Jacqueline, Evans-Molina, Carmella, Mckibben, Angelica, Spall, Maria, Hernandez-Perez, Marimar, Mather, Kieren, Udler, Miriam S, Fan, Melton, Hernandez, Cristinia Fernandez, Ricevuto, Pam, Chu, Kathy, Sabean, Amy, Soni, Lina, Ji, Beisi, Philipson, Louis H, Bell, Graeme, Desai, Jui, Dye, Anisa, Ehrmann, David, Lockwood, Carlin, Oppenheimer, Kaylee, Papciak, Erin, Rodriguez, Karen, Wu, Chelsea, Bender, Colleen, Tian, Persephone, Rasouli, Neda, Chelsea Baker, PA-C, King, Courtney, Rezaei, Marjan, Singh, Vatsala, Kashkouli, Mohsen Bahmani, Barklow, Jules, Farhat, Noosha, Lorch, Rebecca, Odean, Carter, Underkofler, Chantal, Miller, Ryan, Silver, Kristi, Whitlatch, Hilary, Nwaba, Devon, Oral, Elif A, Broome, David, Gregg, Brigid, Grigoryan, Seda, Ince, Melda Sonmez, Neidert, Adam, Richison, Carman, Donahue, Cassandra, Fraser, Rachael, Ghorbani, Tahereh, Kass, Alex, Morba, Catherine, Adams, Sarah, Armstrong, Chase, Kirkman, Sue, Hirsch, Irl B, Kahn, Steven E, Sameshima, Lori, Pihoker, Catherine, Loots, Beth, Niswender, Kevin, Gregory, Justin, Smith, Jordan, Brown, Cris, Brune, Joel, McGill, Janet, Campbell, Toko, Adusumalli, Rajesh, Gomes, Joseph, Perez-Laras, Francisco, Remedios, Cassandra L, Ruiz, Pablo, Sulman, Noah, Eberhard, Christopher, Brandes, MacKenzie, Koesterer, Ryan, Akolkar, Beena, Lee, Christine, Carey, David J, Newgard, Christopher B
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Age Child Children Clinical care/Education/Nutrition Cystic fibrosis Diabetes Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 1 - epidemiology Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - epidemiology Electronic Health Records Ethnicity Families & family life Female Genotype & phenotype HIV Human immunodeficiency virus Humans Identification Insulin resistance Male Medical records Medical referrals MODY Obesity Original Research Outpatient care facilities Pathophysiology Patients Pediatric Diabetes Pediatrics Prognosis Queries Questionnaires Surveys and Questionnaires
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Zusammenfassung:	IntroductionThere are no established methods to identify children with atypical diabetes for further study. We aimed to develop strategies to systematically ascertain cases of atypical pediatric diabetes using electronic medical records (EMR).Research design and methodsWe tested two strategies in a large pediatric hospital in the USA. Strategy 1: we designed a questionnaire to rule out typical diabetes and applied it to the EMR of 100 youth with diabetes. Strategy 2: we built three electronic queries to generate reports of three atypical pediatric diabetes phenotypes: unknown type, type 2 diabetes (T2D) diagnosed
ISSN:	2052-4897 2052-4897
DOI:	10.1136/bmjdrc-2024-004471