Background Patients with diabetes are one of the most high-risk group to become infected with SARS-CoV-2 . Current study was designed to evaluate the risk of other complications in COVID-19 patients with diabetes. Methods In this cross-sectional study (25 February to 10 July 2020), 458 patients with diabetes were enrolled based on their characteristics, symptoms and signs, laboratory data and presence of other underlying diseases. Multiple logistic regression and Chi-square test analysis were used to check the effectiveness of other comorbidities on the mortality outcome among patients with diabetes. Results Of 458 patients with diabetes, 306 (67%) had other underlying diseases, such as 200 (65.4%) hypertension, 103 (33.7%) cardiovascular diseases and 29 (9.5%) kidney diseases. The rate of fatality was significantly high in patients with chronic kidney and liver diseases. The odds of mortality were increased 3.1-fold for patients over 55 years as compared to those under 55 years (P =0.011), and the odds of mortality outcome were more than 5.1-fold for those who had chronic kidney disease (P <0.001). Conclusions The presentation of SARS-CoV-2 in older patients with diabetes with other comorbidities such as chronic kidney and liver diseases is more severe in risk of mortality.
Random selection of initial centroids (centers) for clusters is a fundamental defect in K-means clustering algorithm as the algorithm’s performance depends on initial centroids and may end up in local optimizations. Various hybrid methods have been introduced to resolve this defect in K-means clustering algorithm. As regards, there are no comparative studies comparing these methods in various aspects, the present paper compared three hybrid methods with K-means clustering algorithm using concepts of genetic algorithm, minimum spanning tree, and hierarchical clustering method. Although these three hybrid methods have received more attention in previous researches, fewer studies have compared their results. Hence, seven quantitative datasets with different characteristics in terms of sample size, number of features, and number of different classes are utilized in present study. Eleven indices of external and internal evaluating index were also considered for comparing the methods. Data indicated that the hybrid methods resulted in higher convergence rate in obtaining the final solution than the ordinary K-means method. Furthermore, the hybrid method with hierarchical clustering algorithm converges to the optimal solution with less iteration than the other two hybrid methods. However, hybrid methods with minimal spanning trees and genetic algorithms may not always or often be more effective than the ordinary K-means method. Therefore, despite the computational complexity, these three hybrid methods have not led to much improvement in the K-means method. However, a simulation study is required to compare the methods and complete the conclusion.
Purpose: According to the possible role of other comorbidities in increase the risk of mortality in diabetes patient, recent study was designed to manage complications and mortality rate in this group of patients.Methods: In this cross-sectional study (25 February to 10 July 2020) total of 458 diabetic patients were enrolled based on their characteristics, symptoms and signs, and presence of underlying diseases. Multiple logistic regression and χ2 test analysis used to check the effectiveness of comorbidities on the mortality outcome among diabetic patients.Results: Of 458 diabetic patients, 306 (67%) were with underlying diseases (200 (65.4%) hypertension, 103 (33.7%) cardiovascular diseases and 29 (9.5%) kidney diseases). The rate of fatality was significantly high in patients with chronic kidney and liver diseases. The odds of mortality outcome increase 3.1 fold for patients over 55 years as compared to under 55 years (P =0.011), and the odds of mortality outcome was more than 5.1 folds for those who had chronic kidney disease (P <0.001).Conclusions: The presentation of SARS-CoV-2 in older diabetic patients with comorbidities (chronic kidney and liver diseases) is more severe in risk of mortality.
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