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1.
An Pediatr (Engl Ed) ; 95(4): 253-259, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34481795

RESUMO

INTRODUCTION: The objective of this article was to estimate the type 1 diabetes mellitus (T1DM) incidence in the child population of the Community of Madrid (CM) and its evolution between 1997 and 2016, using the medical-administrative data of the regional registry of T1DM. METHODS: T1DM cases of children under 15 years of age, reported to the regional registry or collected from secondary sources were included: Spanish Diabetics Association (1997-2013), and from 2014 on the Basic Minimum Data Set (BMDS). Annual incidence rates were estimated per 100 000 person-years. The comparison of the rates was analysed using Poisson regression models using incidence ratios (IR). RESULTS: A total of 2658 cases were identified as new diagnoses of T1DM. The mean incidence rate for 1997-2013 was 13.7 cases per 100 000 person-years. In the 2014-2016 period, 20 cases per 100 000 persons-years were registered using the BMDS. The age group with the highest incidence was 10-14 years in the two periods (16.6 vs. 25.5). In boys, the age with the highest incidence was 10-14 years in both periods (17.9 vs 30.4), and in girls, the age of 5-9 years (17.0 vs 25.1). Incidence rates decreased slightly in both genders until 2013 (from 15.0 to 11.6). In 2014-2016, the annual incidence rate varied between 18.4 and 21.1 cases (IR: 1.77). The incidence remained stable in children under 5 years old and increased from 5 to 14 years old. CONCLUSIONS: The CM is among the regions with a high incidence of T1DM. In its first phase, the regional registry underestimated the incidence of T1DM, and with the incorporation of the MBDS as a source of information, the estimates for the second period (2014-2016) are possibly closer to the actual incidence of T1DM. The data presented suggests the need to know the real evolution of the incidence of the disease by incorporating computerised health records.


Assuntos
Diabetes Mellitus Tipo 1 , Adolescente , Criança , Pré-Escolar , Diabetes Mellitus Tipo 1/epidemiologia , Família , Feminino , Humanos , Incidência , Masculino , Sistema de Registros , Sexo
2.
An Pediatr (Engl Ed) ; 2020 Oct 02.
Artigo em Espanhol | MEDLINE | ID: mdl-33012664

RESUMO

INTRODUCTION: The objective of this article was to estimate the type 1 diabetes mellitus (DM1) incidence in the child population of the Community of Madrid (CM) and its evolution between 1997 and 2016, using the medical-administrative data of the regional registry of DM1. METHODS: DM1 cases of children under 15 years of age, reported to the regional registry or collected from secondary sources were included: Spanish Diabetics Association (1997-2013), and from 2014 on the Basic Minimum Data Set (BMDS). Annual incidence rates were estimated per 100 000 person-years. The comparison of the rates was analysed using Poisson regression models using incidence ratios (IR). RESULTS: A total of 2658 cases were identified as new diagnoses of DM1. The mean incidence rate for 1997-2013 was 13.7 cases per 100 000 person-years. In the 2014-2016 period, 20 cases per 100 000 persons-years were registered using the BMDS. The age group with the highest incidence was 10-14 years in the 2periods (16.6 vs. 25.5). In boys, the age with the highest incidence was 10 to 14 years in both periods (17.9 vs 30.4), and in girls, the age of 5 to 9 years (17.0 vs 25.1). Incidence rates decreased slightly in both genders until 2013 (from 15.0 to 11.6). In 2014-2016, the annual incidence rate varied between 18.4 and 21.1 cases (IR: 1.77). The incidence remained stable in children under 5 years old and increased from 5 to 14 years old. CONCLUSIONS: The CM is among the regions with a high incidence of DM1. In its first phase, the regional registry underestimated the incidence of DM1, and with the incorporation of the MBDS as a source of information, the estimates for the second period (2014-2016) are possibly closer to the actual incidence of DM1. The data presented suggests the need to know the real evolution of the incidence of the disease by incorporating computerised health records.

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