Predictive model of risk for the early diagnosis of type II diabetes mellitus
Introduction: The early diagnosis of the type II diabetes mellitus allows the health staff to implement strategies in order to avoid the chronic complications that could be derived. To such effects, in the last two decades predictive models have been developed that include more variables every day....
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| Format: | Article |
| Language: | Spanish |
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Centro Provincial de Información de Ciencias Médicas
2022-11-01
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| Series: | Medisan |
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| Online Access: | https://medisan.sld.cu/index.php/san/article/view/4301 |
| _version_ | 1797944672237125632 |
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| author | Maurio González Hernández |
| author_facet | Maurio González Hernández |
| author_sort | Maurio González Hernández |
| collection | DOAJ |
| description | Introduction: The early diagnosis of the type II diabetes mellitus allows the health staff to implement strategies in order to avoid the chronic complications that could be derived. To such effects, in the last two decades predictive models have been developed that include more variables every day.
Objective: To elaborate a predictive model for the early diagnosis of type II diabetes mellitus in a population from Holguín.
Methods: A cohort study was carried out that included all the patients assisted in the endocrinology services of Pedro Díaz Coello health area and Fermín Valdés Domínguez Military Hospital in Holguín province, for which 2 cohorts were taken: one of analysis and another of validation. For the statistical processing the univaried and multivaried analysis were carried out; as long as the association between dependent and independent variables was determined.
Results: In the series there was a prevalence of the female sex, patients without history of diabetes mellitus and hypertension, as well as those that presented hypothyroidism, periodontal disease and normal weight, among others; also, the pattern was statistically significant (X2=31.1 and p=0.000) and explained 80.9 % of the logout variable validated by the analysis variables. The sensibility was of 96.9 % and the specificity of 86.6 %; while the area under the curve had a range from 0.725 to 0.833.
Conclusions: The predictive model elaborated is a very useful tool for the diagnosis of patients with risk of type II diabetes mellitus. |
| first_indexed | 2024-04-10T20:43:19Z |
| format | Article |
| id | doaj.art-09577f6345354f07a15c7f54425f5c87 |
| institution | Directory Open Access Journal |
| issn | 1029-3019 |
| language | Spanish |
| last_indexed | 2024-04-10T20:43:19Z |
| publishDate | 2022-11-01 |
| publisher | Centro Provincial de Información de Ciencias Médicas |
| record_format | Article |
| series | Medisan |
| spelling | doaj.art-09577f6345354f07a15c7f54425f5c872023-01-24T14:56:05ZspaCentro Provincial de Información de Ciencias MédicasMedisan1029-30192022-11-01266e4301e43011211Predictive model of risk for the early diagnosis of type II diabetes mellitusMaurio González Hernández0Hospital Militar de Holguín Fermín Valdés DomínguezIntroduction: The early diagnosis of the type II diabetes mellitus allows the health staff to implement strategies in order to avoid the chronic complications that could be derived. To such effects, in the last two decades predictive models have been developed that include more variables every day. Objective: To elaborate a predictive model for the early diagnosis of type II diabetes mellitus in a population from Holguín. Methods: A cohort study was carried out that included all the patients assisted in the endocrinology services of Pedro Díaz Coello health area and Fermín Valdés Domínguez Military Hospital in Holguín province, for which 2 cohorts were taken: one of analysis and another of validation. For the statistical processing the univaried and multivaried analysis were carried out; as long as the association between dependent and independent variables was determined. Results: In the series there was a prevalence of the female sex, patients without history of diabetes mellitus and hypertension, as well as those that presented hypothyroidism, periodontal disease and normal weight, among others; also, the pattern was statistically significant (X2=31.1 and p=0.000) and explained 80.9 % of the logout variable validated by the analysis variables. The sensibility was of 96.9 % and the specificity of 86.6 %; while the area under the curve had a range from 0.725 to 0.833. Conclusions: The predictive model elaborated is a very useful tool for the diagnosis of patients with risk of type II diabetes mellitus.https://medisan.sld.cu/index.php/san/article/view/4301diabetes mellitus de tipo 2diagnóstico precozmodelo predictivo. |
| spellingShingle | Maurio González Hernández Predictive model of risk for the early diagnosis of type II diabetes mellitus Medisan diabetes mellitus de tipo 2 diagnóstico precoz modelo predictivo. |
| title | Predictive model of risk for the early diagnosis of type II diabetes mellitus |
| title_full | Predictive model of risk for the early diagnosis of type II diabetes mellitus |
| title_fullStr | Predictive model of risk for the early diagnosis of type II diabetes mellitus |
| title_full_unstemmed | Predictive model of risk for the early diagnosis of type II diabetes mellitus |
| title_short | Predictive model of risk for the early diagnosis of type II diabetes mellitus |
| title_sort | predictive model of risk for the early diagnosis of type ii diabetes mellitus |
| topic | diabetes mellitus de tipo 2 diagnóstico precoz modelo predictivo. |
| url | https://medisan.sld.cu/index.php/san/article/view/4301 |
| work_keys_str_mv | AT mauriogonzalezhernandez predictivemodelofriskfortheearlydiagnosisoftypeiidiabetesmellitus |