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Background: The outbreak of coronavirus disease 2019 (COVID-19) is the leading worldwide healthcare problem. Clinical observations have shown that patients with acute respiratory syndrome coronavirus 2 infection admitted to the hospital were more often those with diabetes mellitus (DM) or hypertension, and a meta-analysis confirmed these findings. Studies of co-morbidities associated with an unfavorable outcome pointed to hypertension and DM as the main comorbid disease along with cardiovascular disease, and chronic obstructive lung disease.Objective: to investigate the clinical characteristics, comorbidities, presenting symptoms, laboratory results, and outcomesMethod: All patients aged 18 years or older, who were admitted to Universitas Sumatera Utara Hospital for COVID-19 and confirmed with DM, during June 2020 - December 2021 were included in this retrospective study. The discharge summary, states whether the patient is recovered or dead at the end of the hospital stay.Result: This study was conducted on 141 inpatients, admitted to hospital for COVID-19. Of a total of 90 patients who were confirmed with DM (63.8%), only 37 patients fulfilling the inclusion and exclusion criteria with comorbidities of hypertension (35·1%), cardiovascular disease (10·8%), chronic kidney disease (8·1%), chronic obstructive lung disease (7·1%), and without comorbidities other than DM (13.5%). Mean age was 60.7 (±11.11) years; 54.1% of the patients were male. The most common symptoms were cough (70.3%). Diarrhea was uncommon (8.1%). 35.1% of these patients died.Conclusion: The most frequent comorbidities in this study of COVID-19 patients with DM are hypertension

Abstract. Kendall correlation coefficient formula as an association or relationship size measure between two ordinal scale data variables, has been widely used in research in various fields of science. A study of the Kendall correlation coefficient formula associated with the graph theory through a complete asymmetric graph as an adjacency matrix, will be used in Kendall correlation calculations in the case of bivariate. The results of this study indicate that a complete asymmetric graph as an adjacency matrix can be used as an alternative method of Kendall correlation coefficient calculation.

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Background: COVID-19 is a disease caused by a virus called SARS-CoV-2. COVID-19 can infect almost all age groups, however, the elderly and those with co-morbidities such as diabetes mellitus can get worse complications from COVID-19. The study aims to find out the demographics and clinical characteristics of COVID-19 patients with diabetes mellitus treated at the Universitas Sumatera Utara Hospital. Method. This research is a descriptive study using retrospective data. The data used is secondary data taken from medical records. The number of samples that met the inclusion criteria was 37 people. Results. The majority of patients were dominated by the age group of 46-65 years (56.8%) and males (54.1%). The predominating clinical characteristics of COVID-19 with diabetes mellitus are cough (70.3%), shortness of breath (59.5%), and fever 51.4%. There was an increase in the laboratory results of COVID-19 patients with diabetes mellitus on blood sugar levels at admission, HbA1c, urea, creatinine, SGOT, SGPT, and d-dimer levels. The most treatment results were recovered by as many as 24 people (64.9%). Conclusion. The majority of patients are in the age group of 46-65 years and are male. The most common clinical characteristic is cough and there is an increase in laboratory results in patients