Warncke, K. ; Eckert, A.* ; Bonifacio, E. ; Achenbach, P. ; Kordonouri, O.* ; Meissner, T.* ; Ohlenschläger, U.* ; Bonfig, W.* ; Ziegler, A.-G. ; Holl, R.W.*
     
 
    
        
Characterisation and clinical outcomes in children and adolescents with diabetes according to newly defined subgroups: A cohort study from the DPV registry.
    
    
        
    
    
        
        EClinicalMedicine 64:102208 (2023)
    
    
    
		
		
			
				Background: Personalised therapy has emerged as a possibly more efficient approach taking disease heterogeneity into account. The aim of this study was to determine whether recently described subgroups of childhood diabetes have prognostic association with diabetes-specific complications and, therefore, might be a basis for personalised therapies. Methods: We applied a previously developed subgroup classification to pediatric patients (diabetes onset <18 years) from the prospective Diabetes Patient Follow-up (DPV) registry with documented data between January 1, 2000 and March 31, 2022, from diabetes centers in Germany, Austria, Switzerland, and Luxembourg. The classification required information on islet autoantibody status, age, haemoglobin A1c (HbA1c), and body-mass index (BMI-SDS) at disease manifestation, as well as follow up data after 2 and after 4 years, which was available in 22,719 patients. Patients without documented data on these parameters were excluded from the analysis. The cumulative risk of severe hypoglycemia, diabetic ketoacidosis (DKA), retinopathy, and nephropathy were analysed by Kaplan–Meier analyses over a median follow-up of 6.8 years (IQR 4.8–9.6). Findings: Patients were classified into 10 subgroups (P1–P7 islet autoantibody-positive, n = 19,811; N1–N3 islet autoantibody-negative, n = 2908). The groups varied markedly with respect to specific acute and chronic complications. Severe hypoglycemia was a characteristic feature in young islet autoantibody-positive subgroups P1, P3, P4 (10-year risk 46, 46 and 47%) and the islet autoantibody-negative groups N1, N2 (43 and 46%). Nephropathy was identified in patient groups P2 and P5 (10-year risk 16%), which had features of moderate disease such as preserved C-peptide, low HbA1c, and very low frequency of DKA at diabetes onset. Group P7, which was defined by a high BMI, was associated with poor metabolic control, DKA, and retinopathy. In contrast, islet autoantibody-negative patients with high BMI (N3) had a low risk for all four complications. Interpretation: Subgrouping of childhood diabetes at diabetes onset provided prognostic value for the development of acute and chronic diabetes-specific complications. Funding: The DPV initiative is supported by The German Ministry of Education and Research (BMBF) within the German Center for Diabetes Research, the diabetes surveillance of the Robert Koch Institute, the German Diabetes Association (DDG) and INNODIA.
			
			
				
			
		 
		
			
				
					
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        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
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        Herausgeber
        
    
    
        Schlagwörter
        Children ; Complications ; Diabetes ; Personalised Medicine ; Subgroups; Type-1; Complications; Association; Hypoglycemia; Retinopathy; Childhood; Impact; Age
    
 
    
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        Sprache
        englisch
    
 
    
        Veröffentlichungsjahr
        2023
    
 
    
        Prepublished im Jahr 
        0
    
 
    
        HGF-Berichtsjahr
        2023
    
 
    
    
        ISSN (print) / ISBN
        2589-5370
    
 
    
        e-ISSN
        2589-5370
    
 
    
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	    Band: 64,  
	    Heft: ,  
	    Seiten: ,  
	    Artikelnummer: 102208 
	    Supplement: ,  
	
    
 
  
        
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            Verlag
            Springer
        
 
        
            Verlagsort
            Radarweg 29, 1043 Nx Amsterdam, Netherlands
        
 
	
        
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        Begutachtungsstatus
        Peer reviewed
    
 
     
    
        POF Topic(s)
        30201 - Metabolic Health
90000 - German Center for Diabetes Research
    
 
    
        Forschungsfeld(er)
        Helmholtz Diabetes Center
    
 
    
        PSP-Element(e)
        G-502100-001
G-502600-006
    
 
    
        Förderungen
        INNODIA
German Diabetes Association (DDG)
Robert Koch Institute
German Ministry of Education and Research (BMBF) within the German Center for Diabetes Research
    
 
    
        Copyright
        
    
 	
    
    
    
    
    
        Erfassungsdatum
        2023-10-18