Optimization of the Prediction of Arterial Hypertension Development in the Patients with Type 2 Diabetes Mellitus on the Background of Undifferentiated Connective Tissue Dysplasia
Author(s) -
L. L. Sherstiuk
Publication year - 2019
Publication title -
archive of clinical medicine
Language(s) - English
Resource type - Journals
ISSN - 2414-9853
DOI - 10.21802/acm.2019.1.8
Subject(s) - medicine , connective tissue , diabetes mellitus , type 2 diabetes mellitus , logistic regression , population , dysplasia , pathology , endocrinology , environmental health
In recent years, disorders of connective tissue metabolism that are involved in the pathogenesis of many diseases have attracted increasing attention. They are of particular importance in the presence of connective tissue dysplasia. Undifferentiated forms, being a frequent component of comorbid pathology, are quite widespread among the general population. Among comorbidities, arterial hypertension, diabetes mellitus and undifferentiated connective tissue dysplasia in various combinations are more often observed. The objective of the research was to determine the prognostic significance of undifferentiated connective tissue dysplasia in the development of arterial hypertension in the patients with type 2 diabetes mellitus. Materials and methods. To determine the prognostic significance of undifferentiated connective tissue dysplasia in the development of arterial hypertension, there was conducted an analysis of hospital discharge reports received by the patients with type 2 diabetes mellitus duration of at least 2 years who were treated two to five years ago. The predictive significance of the factors selected for the analysis was determined through applying the regression analysis using a logistic regression model, the Wald test. Results. The test for coincidence of the predicted and observed values revealed that the specificity of the regression model was 87.2%, while its sensitivity was 89.7%. The overall predictability was 88.5%. Conclusions. These are quite high indicators that allow us to apply the proposed model to detect the patients with type 2 diabetes mellitus being at high risk of arterial hypertension.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom