ABSTRACT
Coronavirus disease has many systemic disease symptoms and has severe consequences for the cardiovascular system. Objective. To assess the role of clinical and laboratory indicators in determining the risk of chronic heart failure (CHF) in COV-ID-19 survivors. Material and methods. In total, 151 patients treated in a monoinfectious hospital from 03.11.20 to 10.02.21 with a confirmed diagnosis of COVID-19 were retrospectively selected. Medical history and laboratory data were collected by reviewing electronic medical records. The data included age, gender, body mass index, smoking status, and comorbidities. The laboratory data included the results of hematology and blood chemistry, coagulation, and the levels of acute-phase proteins. The CHF occurrence was used as the study endpoint. Results and discussion. The study patients were divided into two groups depending on the presence of CHF: group 1 included 46 patients with CHF, and group 2 included 105 patients without CHF. The median age was 66.2 (50-92) years;91 (60.3%) were females. Laboratory tests, such as levels of the hs-C-reactive protein, lactate dehydrogenase, procalcitonin, creatinine, and bilirubin, were statistically significantly different in patients of the study groups, and the median values were higher in patients with CHF. Neutrophil-lymphocyte ratio (NLR) showed statistically significant differences between groups: in patients with CHF, the median was 4.97% compared to 3.62% (p=0.011) in those without CHF. The most significant predictors of an increased risk of CHF were age >=66 years (OR=8.038, p<0.001), procalcitonin level >=0.09 ng/mL (increased the CHF risk by 3.8 times, p<0.001), thrombocy-topenia <=220x109/L (p=0.010), an NLR ratio >=4.11% (p=0.010), and a history of chronic kidney disease (p=0.018). Conclusion. A model has been developed to determine the factors closely associated with the risk of chronic heart failure in CO-VID-19 survivors.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.
ABSTRACT
Coronavirus disease has many systemic disease symptoms and has severe consequences for the cardiovascular system. Objective. To assess the role of clinical and laboratory indicators in determining the risk of chronic heart failure (CHF) in COV-ID-19 survivors. Material and methods. In total, 151 patients treated in a monoinfectious hospital from 03.11.20 to 10.02.21 with a confirmed diagnosis of COVID-19 were retrospectively selected. Medical history and laboratory data were collected by reviewing electronic medical records. The data included age, gender, body mass index, smoking status, and comorbidities. The laboratory data included the results of hematology and blood chemistry, coagulation, and the levels of acute-phase proteins. The CHF occurrence was used as the study endpoint. Results and discussion. The study patients were divided into two groups depending on the presence of CHF: group 1 included 46 patients with CHF, and group 2 included 105 patients without CHF. The median age was 66.2 (50-92) years;91 (60.3%) were females. Laboratory tests, such as levels of the hs-C-reactive protein, lactate dehydrogenase, procalcitonin, creatinine, and bilirubin, were statistically significantly different in patients of the study groups, and the median values were higher in patients with CHF. Neutrophil-lymphocyte ratio (NLR) showed statistically significant differences between groups: in patients with CHF, the median was 4.97% compared to 3.62% (p=0.011) in those without CHF. The most significant predictors of an increased risk of CHF were age >=66 years (OR=8.038, p<0.001), procalcitonin level >=0.09 ng/mL (increased the CHF risk by 3.8 times, p<0.001), thrombocy-topenia <=220x109/L (p=0.010), an NLR ratio >=4.11% (p=0.010), and a history of chronic kidney disease (p=0.018). Conclusion. A model has been developed to determine the factors closely associated with the risk of chronic heart failure in CO-VID-19 survivors.Copyright © 2023, Media Sphera Publishing Group. All rights reserved.
ABSTRACT
Aim. To establish risk factors for heart failure (HF) in patients with coronavirus disease 2019 (COVID-19). Material and methods. Medical records of 151 patients treated in an infectious disease hospital from November 3, 2020 to February 2, 2021 with a confirmed diagnosis of COVID-19 were retrospectively selected. The collection of clinical, history and laboratory data were carried out by analyzing electronic medical records. We analyzed information on age, sex, body mass index, smoking, and comorbidities. Following laboratory studies were analyzed: complete blood count, biochemical blood tests, coagulation profile, acute phase proteins (C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH)), procalcitonin. The diagnosis of HF was confirmed by clinical performance, echocardiography, and elevated levels of the N-terminal pro-brain natriuretic peptide (NT-proBNP). The risk of HF was taken as the endpoint of the study. Results. The studied sample of patients was divided into two groups depending on HF: the 1st group included 46 patients with HF, the 2nd group - 105 patients without HF. The median age was 66,2 (50-92) years (women, 91 (60,3%)). Laboratory indicators, such as the levels of CRP, LDH, procalcitonin, creatinine, bilirubin, differed significantly from each other, and the median values were higher in patients with HF. The neutrophil-to-lymphocyte ratio (NLR) showed significant intergroup differences: in the group of patients with HF, the median was 4,97% vs 3,62% (p=0,011) in the group of patients without HF. There were following most significant predictors increasing the HF risk: age >=66 years (odds ratio, 8,038, p<0,001), procalcitonin level, which increases the HF risk in patients by 3,8 times (p<0,001), NLR >=4,11% (p=0,010), thrombocytopenia <=220x109/l (p=0,010), history of chronic kidney disease (CKD) (p=0,018). Conclusion. The following predictors of HF were established: age >=66 years, procalcitonin >=0,09 ng/ml, NLR >=4,11%, thrombocytopenia <=220x109/l, history of CKD, LDH >=685 U/l and creatinine >=102 micromol/l, international normalized ratio >=1,19, QTc interval >=407,5 ms, bilirubin <=10,7 micromol/l. It is worth noting that the best accuracy values are demonstrated by the Random Forest algorithm (88,5% on the validation set), but the mathematical model of the neural network turned out to be the most sensitive (90,0% on the validation set).Copyright © 2023, Silicea-Poligraf. All rights reserved.
ABSTRACT
Aim. To establish risk factors for heart failure (HF) in patients with coronavirus disease 2019 (COVID-19). Material and methods. Medical records of 151 patients treated in an infectious disease hospital from November 3, 2020 to February 2, 2021 with a confirmed diagnosis of COVID-19 were retrospectively selected. The collection of clinical, history and laboratory data were carried out by analyzing electronic medical records. We analyzed information on age, sex, body mass index, smoking, and comorbidities. Following laboratory studies were analyzed: complete blood count, biochemical blood tests, coagulation profile, acute phase proteins (C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH)), procalcitonin. The diagnosis of HF was confirmed by clinical performance, echocardiography, and elevated levels of the N-terminal pro-brain natriuretic peptide (NT-proBNP). The risk of HF was taken as the endpoint of the study. Results. The studied sample of patients was divided into two groups depending on HF: the 1st group included 46 patients with HF, the 2nd group - 105 patients without HF. The median age was 66,2 (50-92) years (women, 91 (60,3%)). Laboratory indicators, such as the levels of CRP, LDH, procalcitonin, creatinine, bilirubin, differed significantly from each other, and the median values were higher in patients with HF. The neutrophil-to-lymphocyte ratio (NLR) showed significant intergroup differences: in the group of patients with HF, the median was 4,97% vs 3,62% (p=0,011) in the group of patients without HF. There were following most significant predictors increasing the HF risk: age >=66 years (odds ratio, 8,038, p<0,001), procalcitonin level, which increases the HF risk in patients by 3,8 times (p<0,001), NLR >=4,11% (p=0,010), thrombocytopenia <=220x109/l (p=0,010), history of chronic kidney disease (CKD) (p=0,018). Conclusion. The following predictors of HF were established: age >=66 years, procalcitonin >=0,09 ng/ml, NLR >=4,11%, thrombocytopenia <=220x109/l, history of CKD, LDH >=685 U/l and creatinine >=102 micromol/l, international normalized ratio >=1,19, QTc interval >=407,5 ms, bilirubin <=10,7 micromol/l. It is worth noting that the best accuracy values are demonstrated by the Random Forest algorithm (88,5% on the validation set), but the mathematical model of the neural network turned out to be the most sensitive (90,0% on the validation set).Copyright © 2023, Silicea-Poligraf. All rights reserved.
ABSTRACT
Aim. To establish risk factors for heart failure (HF) in patients with coronavirus disease 2019 (COVID-19). Material and methods. Medical records of 151 patients treated in an infectious disease hospital from November 3, 2020 to February 2, 2021 with a confirmed diagnosis of COVID-19 were retrospectively selected. The collection of clinical, history and laboratory data were carried out by analyzing electronic medical records. We analyzed information on age, sex, body mass index, smoking, and comorbidities. Following laboratory studies were analyzed: complete blood count, biochemical blood tests, coagulation profile, acute phase proteins (C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH)), procalcitonin. The diagnosis of HF was confirmed by clinical performance, echocardiography, and elevated levels of the N-terminal pro-brain natriuretic peptide (NT-proBNP). The risk of HF was taken as the endpoint of the study. Results. The studied sample of patients was divided into two groups depending on HF: the 1st group included 46 patients with HF, the 2nd group - 105 patients without HF. The median age was 66,2 (50-92) years (women, 91 (60,3%)). Laboratory indicators, such as the levels of CRP, LDH, procalcitonin, creatinine, bilirubin, differed significantly from each other, and the median values were higher in patients with HF. The neutrophil-to-lymphocyte ratio (NLR) showed significant intergroup differences: in the group of patients with HF, the median was 4,97% vs 3,62% (p=0,011) in the group of patients without HF. There were following most significant predictors increasing the HF risk: age >=66 years (odds ratio, 8,038, p<0,001), procalcitonin level, which increases the HF risk in patients by 3,8 times (p<0,001), NLR >=4,11% (p=0,010), thrombocytopenia <=220x109/l (p=0,010), history of chronic kidney disease (CKD) (p=0,018). Conclusion. The following predictors of HF were established: age >=66 years, procalcitonin >=0,09 ng/ml, NLR >=4,11%, thrombocytopenia <=220x109/l, history of CKD, LDH >=685 U/l and creatinine >=102 micromol/l, international normalized ratio >=1,19, QTc interval >=407,5 ms, bilirubin <=10,7 micromol/l. It is worth noting that the best accuracy values are demonstrated by the Random Forest algorithm (88,5% on the validation set), but the mathematical model of the neural network turned out to be the most sensitive (90,0% on the validation set).Copyright © 2023, Silicea-Poligraf. All rights reserved.
ABSTRACT
Aim. To assess the clinical performance and factors associated with inhospital mortality in patients with coronavirus disease 2019 (COVID-19). Material and methods. Our results are based on data from hospital charts of inpatients hospitalized in the Asinovskaya District Hospital in the period from March 11, 2020 to December 31, 2020, with a verified COVID-19 by polymerase chain reaction. The study included 151 patients, the median age of which was 66,2 (5092) years (women, 91;60,3%). The study endpoints were following hospitalization outcomes: Discharge or death. Depending on the outcomes, the patients were divided into 2 groups: The 1st group included 138 patients (survivors), while the 2nd one included 13 patients (death). To objectify the severity of multimorbidity status, the Charlson comorbidity index was used. The final value was estimated taking into account the patient age by summing the points assigned to a certain nosological entity using a calculator table. Results. Hypertension was recorded in the majority of patients — 79,5%, chronic kidney disease — in 61,1%. The prevalence of type 2 diabetes and coronary artery disease was high — 31,8% each. Prior myocardial infarction was diagnosed in 11,3% of cases. The prevalence of percutaneous coronary intervention and coronary bypass surgery was 5,3% and 3,3%, respectively. Stroke was detected in 9,3% of participants. Prior chronic pulmonary pathologies in COVID-19 patients were rare (asthma — 3,3%, chronic obstructive pulmonary disease — 2,0%). In order to predict the death risk in COVID-19 patients, a logistic regression analysis was performed, which showed that age and Charlson comorbidity index were the most significant predictors. Conclusion. Independent factors of inhospital mortality were age and Charlson’s comorbidity index. The risk assessment model will allow clinicians to identify patients with a poor prognosis at an earlier disease stage, thereby reducing mortality by implementing more effective COVID-19 treatment strategies in conditions with limited medical resources.
ABSTRACT
Repetitive quarantines and social restrictions during the coronavirus disease 2019 (COVID-19) pandemic have negatively affected the population health in general, and the control of hypertension (HTN) in particular. Aim. To evaluate the control of HTN in the Russian population during the COVID-19 period based on the results of screening for HTN May Measurement Month 2021 (MMM2021). Material and methods. During May-August 2021, 2491 participants from 11 Russian regions took part in the screening. Participation was voluntary without restrictions on sex. All participants were over 18 years of age. During the screening, blood pressure (BP) was measured three times using automatic and mechanical BP monitors. In addition, a questionnaire was filled out on behavioral risk factors, comorbidities and therapy. HTN was diagnosed with systolic BP ≥140 mmHg and/ or diastolic blood pressure ≥90 mmHg and/or taking antihypertensive therapy. The questionnaire included questions about prior COVID-19, vaccinations and their impact on the intake of antihypertensive drugs. Results. The analysis included data from 2461 respondents aged 18 to 92, of which 963 were men (39,1%). The proportion of hypertensive patients was 41,0%, while among them 59,0% took antihypertensives and 30,9% were effectively treated. In comparison with pre-pandemic period according to MMM2018-2019, the higher proportion of HTN patients in the Russian sample was revealed during MMM2021 (41,0% vs 31,3%, p<0,001) with a comparable proportion of patients receiving antihypertensive therapy (60,7% vs 59,0%, p=0,05) and treatment efficacy (28,7% vs 30,9%, p=0,36). Monotherapy was received in 44,7% of cases, while dual and triple combination therapy — in 30,9% and 14,1%, respectively. The majority of respondents (~90%) did not adjust their antihypertensive therapy during the COVID-19 pandemic. Conclusion. According to HTN screening in Russia, there is persistent ineffective control of HTN, which may be due to both the worsening pattern of behavioral risk factors, limited access to healthcare during COVID-19, and the inertia of physicians and low adherence of patients due to the asymptomatic HTN course in the majority.