Clinical and laboratory characteristics of patients with COVID-19 and concomitant type 2 diabetes

Демидова, Т. Ю.; Lobanova, Kristina G.; Переходов, С. Н.; Antsiferov, M. B.; Ойноткинова, О Ш

doi:10.15829/1728-8800-2021-2750

Cited by 3 publications

(4 citation statements)

References 24 publications

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“…Our results are consistent with the data of other authors who distinguished an old age and male sex as unfavorable outcome risk factors in COVID-19 [ 11 , 12 , 15 ]. For example, a meta-analysis including 3027 SARS-CoV-2-infected patients [ 16 ] demonstrated that for male smokers aged over 65 years, this disease is most dangerous.…”

Section: Discussionsupporting

confidence: 93%

“…In Ref. [ 15 ], there was also found no significant difference in the body mass index between discharged and deceased patients: the mean BMI in discharged and deceased patients was 32.9 and 30.9 kg/m 2 , respectively. However, it is noteworthy that the majority of patients (73%) with moderate and severe COVID-19 forms are overweight.…”

Section: Discussionmentioning

confidence: 96%

“…Many authors note CV disease as the most significant factor worsening the prognosis in COVID-19 patients. It was found that deceased patients exhibited a highest occurrence of arterial hypertension and CV diseases [ 17 ]; arterial hypertension was found to be the most unfavorable pathology in terms of prognosis [ 18 ]; ischemic heart disease is also in the list of diseases with a highest mortality rate (26.3%) [ 15 ].…”

Section: Discussionmentioning

confidence: 99%

“…The effect of diabetes mellitus type 2 on the disease outcome is discussed in detail in several studies [ 15 , 19 ], where an almost twofold increase in mortality was reported for COVID-19 patients. Our data are consistent with these results.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods

Громов

Rogacheva

Barulina

et al. 2021

J Evol Biochem Phys

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The aim of the work was to conduct a retrospective analysis of the clinical data of patients with pneumonia caused by the SARS-CoV-2 virus, and to determine via mathematical methods the significance of some physiological and biochemical indices as predictive markers of an unfavorable outcome of the disease. A random cohort of patients with COVID-19 pneumonia numbered 209 people. Mathematical analysis addressed the physiological characteristics of patients recorded at the time of hospital admission, as well as blood coagulation parameters and those reflecting the development of an inflammatory reaction. The analyzed parameters were categorized relative to the reference ranges of physiologically normal values. Correlation analysis was carried out using categorical data on the disease outcome. The algorithms for calculating statistical characteristics, as well as results visualization, were programmed in Python. When comparing patient groups, the significance of differences between the determined parameters was assessed using the Pearson’s χ 2 test with Yates’ correction. The study showed that the age over 50 and male sex can be considered risk factors for patients with COVID-19 pneumonia ( p < 0.05). The disease outcome was found to be significantly affected by cardiovascular pathologies ( p < 0.01) and to a lesser extent by diabetes mellitus ( p < 0.10). There were revealed maximal correlation coefficients between the oxygen saturation level (–0.43), as well as the breathing rate (0.43), and a fatal outcome of the disease. For patients over 50 years of age, oxygen saturation below 80% at the time of hospital admission turned out to be a marker of mortality. It was shown that D-dimer blood levels above 625 ng/mL in patients over 80 years of age correlated with mortal outcomes. No correlation was found between the C-reactive protein (CRP) level and the disease outcome. The effect of corticosteroids on the disease outcome was analyzed in patients with different CRP levels. It was found that, while using corticosteroids, the mortality rate in patients with CRP ≤ 12.5 mg/L is 2.7 times higher than in those with CRP > 12.5 mg/L ( p < 0.01). Thus, the use of adequate mathematical methods made it possible to define more precisely some mortality-associated physiological and biochemical indices in patients with COVID-19 pneumonia.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods

Громов

Rogacheva

Barulina

et al. 2021

J Evol Biochem Phys

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Short- and long-term outcomes of patients with COVID-19 and acute kidney injury

Khruleva

Efremovtseva

Timofeeva

et al. 2023

Cardiovasc Ther Prev

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Aim. To evaluate the impact of acute kidney injury (AKI) on in-hospital (death) and long-term outcomes (rehospitalization or death within 30 days; death within 180 days) in hospitalized patients with coronavirus disease 2019 (COVID-19).Material and methods. The registry of patients with COVID-19 was analyzed to identify risk factors (RFs) for mortality. Discharged patients were included in a prospective study. Outcomes were assessed by telephone contacts.Results. The study included 1000 patients. The mortality rate was 20,8%, while AKI was registered in 29,6% of patients. According to multivariate analysis, AKI, regardless of other risk factors, increased the risk of death (hazard ratio (HR), 1,62, 95% confidence interval (CI): 1,08-2,44, p=0,02). The prospective part included 691 patients. We revealed that 10% were rehospitalized or died within 30 days, while independent risk factors were age >65 years (HR, 2,72, 95% CI: 1,47-5,01, p=0,001) and AKI in the acute phase of COVID-19 (HR, 1,67, 95% CI: 1,00-2,80, p=0,05). In addition, 6% of patients died within 180 days, while AKI was the risk factor for death according to univariate analysis; the only independent predictor was age >65 years (HR, 5,96, 95% CI: 2,26-15,72, p<0,001).Conclusion. AKI during the acute period of COVID-19, independently of other risk factors, more than 1,5 times increases the risk of mortality and the risk of adverse outcome within 30 days after discharge.

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Some aspects of diagnosis, course and prediction of outcomes of a new coronavirus infection in patients with diabetes mellitus

Volynkina,

Khodarina,

Kazakova

et al. 2023

jour

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Introduction. By 2023 it has been detected more than 600 million cases of COVID-19. One of the most significant risk factors for the severe course of a new coronavirus infection (NCVI) is the presence of comorbid diseases, especially the presence of diabetes mellitus (DM).Aim. To investigate the laboratory and clinical features of a new coronavirus infection in people with diabetes mellitus, to identify predictors of an adverse outcome of COVID-19.Material and methods. We carried out data from medical records of 248 patients treated in “Voronezh Clinical Emergency Hospital № 10” in the departments “COVID-5” and “COVID-8”. Data collection and statistical processing were performed with Microsoft Excel 10.0 and StatSoft STATISTICA 12.0 programs.Results. The most frequent complaints of patients were general weakness, hyperthermia and dry cough. The analysis of the age characteristics revealed that the peak incidence of NCVI in hospitalized patients without DM falls on 70-79 years, with concomitant DM — on 60-69 years.Among comorbid pathologies, hypertension, coronary heart disease and chronic heart failure prevailed. The presence of these diseases is a predictor of adverse outcomes in NCVI, along with cerebrovascular diseases and anemia.Evaluation of laboratory data revealed the link of elevated levels of ferritin, C-reactive protein and D-dimer with an increased risk of death of NCVI.Conclusion. Estimation the risk factors of a fatal outcome is crucial for the choice of patient treatment tactics.

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Clinical and laboratory characteristics of patients with COVID-19 and concomitant type 2 diabetes

Cited by 3 publications

References 24 publications

Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods

Analysis of Some Physiological and Biochemical Indices in Patients with Covid-19 Pneumonia Using Mathematical Methods

Short- and long-term outcomes of patients with COVID-19 and acute kidney injury

Some aspects of diagnosis, course and prediction of outcomes of a new coronavirus infection in patients with diabetes mellitus

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