[Influence of chronic obstructive pulmonary disease on hospital outcomes of percutaneous coronary interventions in patients with acute coronary syndrome].

AIM: To evaluate the impact of chronic obstructive pulmonary disease (COPD) on hospital outcomes of percutaneous coronary interventions (PCI) in patients with acute coronary syndrome (ACS). MATERIALS AND METHODS: A cohort prospective study of the COPD effect on mortality and coronary microvascular obstruction (CMVO, no-reflow) development after PCI in ACS was carried out. 626 patients admitted in 2019-2020 were included, 418 (67%) - men, 208 (33%) - women. Median age - 63 [56; 70] years. Myocardial infarction with ST elevation identified in 308 patients (49%), CMVO - in 59 (9%) patients (criteria: blood flow <3 grade according to TIMI flow grade; perfusion <2 points according to Myocardial blush grade; ST segment resolution <70%). 13 (2.1%) patients died. Based on the questionnaire "Chronic Airways Diseases, A Guide for Primary Care Physicians, 2005", 2 groups of patients were identified: 197 (31%) with COPD (≥17 points) and 429 (69%) without COPD (<17 points). Groups were compared on unbalanced data (÷2 Pearson, Fisher exact test). The propensity score was calculated, and a two-way logistic regression analysis was performed. The data were balanced by the Kernel "weighting" method, logistic regression analysis was carried out using "weighting" coefficients. Results as odds ratio (OR) and 95% confidence interval. RESULTS: The conducted research allowed us to obtain the following results, depending on the type of analysis: 1) analysis of unbalanced data in patients with COPD: OR death 3.60 (1.16-11.12); p=0.03; OR CMVO 0.65 (0.35-1.22); p=0,18; 2) two-way analysis with propensity score: OR death 3.86 (1.09-13.74); p=0.04; OR CMVO 0.61 (0.31-1.19); p=0.15; 3) regression analysis with "weight" coefficients: OR death 12.49 (2.27-68.84); p=0.004; OR CMVO 0.63 (0.30-1.33); p=0.22. CONCLUSION: The presence of COPD in patients with ACS undergoing PCI increases mortality and does not affect the incidence of CMVO.

[Use of metformin in patients with type 2 diabetes and acute myocardial infarction: safety and impact on glycemic control].

BACKGROUND: Myocardial infarction (MI) in patients with diabetes type 2 (T2DM) occurs 1.5-3.0 times higher than in general population. Metformin is contraindicated for patients with T2DM and acute coronary syndrome due to the risk of developing lactic acidosis. Using metformin more than 48 hours of MI is a topical question, which will help to improve patient's safety. AIM: To evaluate the safety and quality of glycemic control using metformin in patients with T2DM during inpatient treatment for MIMATERIALS AND METHODS: The study included 161 patients with T2DM, who were hospitalized consecutively with acute MI with ST-elevation and underwent percutaneous coronary intervention (PCI). Average time of metformin initiation was 5th day from admission. Creatinine was assessed at admission and 48 hours after PCI. The acid-base balance and lactate were assessed at admission and on the 3rd day after the start of using metformin. Criteria for the effectiveness of glycemic control was the proportion of glycemic measurements in target range of 6.1-10.0 mmol/l during hospitalization ("hospital time in range", hTIR). hTIR >55% was considered to be a critical level. The long-term outcome was estimated at 365 days after hospitalization. RESULTS: Metformin was prescribed to 99 patients (61%) ("M+"group) during the hospitalization, 62 patients were in "M-"group. Use of metformin was accompanied with better glycemic control in the «M+¼ group compared to the «M-¼: mean glycemia 9.3 ± 1.6 vs 10.3 ± 2.3 mmol/l (p=0,002), SD 2.87 ± 1.1 vs 3.26 ± 1.8 (p=0,049), hTIR 60 ± 18% vs 48 ± 23% (p<0,001). There were clinically insignificant changes in acid-base balance on the 3rd day from the start of metformin use in the "M+" group, the lactate level did not increase. Use of metformin before to hospitalization with MI was not associated with an increased risk of developing acute kidney injury (AKI): RR 0.85 (0.37-1.96), p=0,691. CONCLUSION: Use of metformin in patients with T2DM and acute MI is associated with better glycemic control. Carrying out angiography in patients, treated with metformin before the hospitalization, is not accompanied by an increased risk of developing AKI. Appointment of metformin in 3-7 days after angiography does not lead to an increase level of lactate and significant deviations in acid-base balance.

[The impact of BMI on the course of the acute SARS-COV-2 infection and the risks that emerge during the first year after the hospital discharge. Subanalysis evidence of the AKTIV and AKTIV 2 registries].

BACKGROUND: There is enough evidence of the negative impact of excess weight on the formation and progression of res piratory pathology. Given the continuing SARS-CoV-2 pandemic, it is relevant to determine the relationship between body mass index (BMI) and the clinical features of the novel coronavirus infection (NCI). AIM: To study the effect of BMI on the course of the acute SARS-COV-2 infection and the post-covid period. MATERIALS AND METHODS: AKTIV and AKTIV 2 are multicenter non-interventional real-world registers. The АКТИВ registry (n=6396) includes non-overlapping outpatient and inpatient arms with 6 visits in each. The АКТИВ 2 registry (n=2968) collected  the  data  of  hospitalized  patients  and  included  3  visits.  All  subjects  were  divided  into  3  groups:  not  overweight  (n=2139), overweight (n=2931) and obese (n=2666). RESULTS: A higher BMI was significantly associated with a more severe course of the infection in the form of acute kidney injury (p=0.018), cytokine storm (p<0.001), serum C-reactive protein over 100 mg/l (p<0.001), and the need for targeted therapy (p<0.001) in the hospitalized patients. Obesity increased the odds of myocarditis by 1,84 times (95% confidence interval [CI]: 1,13-3,00) and the need for anticytokine therapy by 1,7 times (95% CI: 1,30-2,30).The  patients  with  the  1st  and  2nd  degree  obesity,  undergoing  the  inpatient  treatment,  tended  to  have  a  higher  probability  of  a  mortality  rate.  While  in  case  of  morbid  obesity  patients  this  tendency  is  the  most  significant  (odds  ratio  -  1,78; 95% CI: 1,13-2,70). At the same time, the patients whose chronical diseases first appeared after the convalescence period, and those who had certain complaints missing before SARS-CoV-2 infection, more often had BMI of more than 30 kg/m2 (p<0,001).Additionally, the odds of death increased by 2,23 times (95% CI: 1,05-4,72) within 3 months after recovery in obese people over the age of 60 yearsCONCLUSION.  Overweight  and/or  obesity  is  a  significant  risk  factor  for severe  course  of  the  new  coronavirus  infection  and  the associated cardiovascular and kidney damage Overweight people and patients with the 1st and 2nd degree obesity tend to have a high risk of death of SARS-CoV-2 infection in both acute and post-covid periods. On top of that, in case of morbid obesity patients this tendency is statistically significant. Normalization of body weight is a strategic objective of modern medicine and can contribute to prevention of respiratory conditions, severe course and complications of the new coronavirus infection.

[ACTIV SARS-CoV-2 registry (Analysis of Chronic Non-infectious Diseases Dynamics After COVID-19 Infection in Adult Patients). Assessment of impact of combined original comorbid diseases in patients with COVID-19 on the prognosis].

AIM: Study the impact of various combinations of comorbid original diseases in patients infected with COVID-19 later on the disease progression and outcomes of the new coronavirus infection. MATERIALS AND METHODS: The ACTIV registry was created on the Eurasian Association of Therapists initiative. 5,808 patients have been included in the registry: men and women with COVID-19 treated at hospital or at home. CLINICALTRIALS: gov ID NCT04492384. RESULTS: Most patients with COVID-19 have original comorbid diseases (oCDs). Polymorbidity assessed by way of simple counting of oCDs is an independent factor in negative outcomes of COVID-19. Search for most frequent combinations of 2, 3 and 4 oCDs has revealed absolute domination of cardiovascular diseases (all possible variants). The most unfavorable combination of 2 oCDs includes atrial hypertension (AH) and chronic heart failure (CHF). The most unfavorable combination of 3 oCDs includes AH, coronary heart disease (CHD) and CHF; the worst combination of 4 oCDs includes AH, CHD, CHF and diabetes mellitus. Such combinations increased the risk of lethal outcomes 3.963, 4.082 and 4.215 times respectively. CONCLUSION: Polymorbidity determined by way of simple counting of diseases may be estimated as a factor in the lethal outcome risk in the acute phase of COVID-19 in real practice. Most frequent combinations of 2, 3 and 4 diseases in patients with COVID-19 primarily include cardiovascular diseases (AH, CHD and CHF), diabetes mellitus and obesity. Combinations of such diseases increase the COVID-19 lethal outcome risk.

Analysis of influence of background therapy for comorbidities in the period before infection on the risk of the lethal COVID outcome. Data from the international ACTIV SARS-CoV-2 registry («Analysis of chronic non-infectious diseases dynamics after COVID-19 infection in adult patients SARS-CoV-2¼).

Aim      To study the effect of regular drug therapy for cardiovascular and other diseases preceding the COVID-19 infection on severity and outcome of COVID-19 based on data of the ACTIVE (Analysis of dynamics of Comorbidities in paTIents who surVived SARS-CoV-2 infEction) registry.Material and methods  The ACTIVE registry was created at the initiative of the Eurasian Association of Therapists. The registry includes 5 808 male and female patients diagnosed with COVID-19 treated in a hospital or at home with a due protection of patients' privacy (data of nasal and throat smears; antibody titer; typical CT imaging features). The register territory included 7 countries: the Russian Federation, the Republic of Armenia, the Republic of Belarus, the Republic of Kazakhstan, the Kyrgyz Republic, the Republic of Moldova, and the Republic of Uzbekistan. The registry design: a closed, multicenter registry with two nonoverlapping arms (outpatient arm and in-patient arm). The registry scheduled 6 visits, 3 in-person visits during the acute period and 3 virtual visits (telephone calls) at 3, 6, and 12 mos. Patient enrollment started on June 29, 2020 and was completed on October 29, 2020. The registry completion is scheduled for October 29, 2022. The registry ID: ClinicalTrials.gov: NCT04492384. In this fragment of the study of registry data, the work group analyzed the effect of therapy for comorbidities at baseline on severity and outcomes of the novel coronavirus infection. The study population included only the patients who took their medicines on a regular basis while the comparison population consisted of noncompliant patients (irregular drug intake or not taking drugs at all despite indications for the treatment).Results The analysis of the ACTIVE registry database included 5808 patients. The vast majority of patients with COVID-19 had comorbidities with prevalence of cardiovascular diseases. Medicines used for the treatment of COVID-19 comorbidities influenced the course of the infectious disease in different ways. A lower risk of fatal outcome was associated with the statin treatment in patients with ischemic heart disease (IHD); with angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor antagonists and with beta-blockers in patients with IHD, arterial hypertension, chronic heart failure (CHF), and atrial fibrillation; with oral anticoagulants (OAC), primarily direct OAC, clopidogrel/prasugrel/ticagrelor in patients with IHD; with oral antihyperglycemic therapy in patients with type 2 diabetes mellitus (DM); and with long-acting insulins in patients with type 1 DM. A higher risk of fatal outcome was associated with the spironolactone treatment in patients with CHF and with inhaled corticosteroids (iCS) in patients with chronic obstructive pulmonary disease (COPD).Conclusion      In the epoch of COVID-19 pandemic, a lower risk of severe course of the coronavirus infection was observed for patients with chronic noninfectious comorbidities highly compliant with the base treatment of the comorbidity.

Using an Artificial Neural Network to Predict Coronary Microvascular Obstruction (No-Reflow Phenomenon) during Percutaneous Coronary Interventions in Patients with Myocardial Infarction.

The aim of the study was to develop, evaluate, and validate an artificial neural network to predict coronary microvascular obstruction (CMVO) during percutaneous coronary interventions (PCI) in patients with myocardial infarctions (MI) based on the parameters, which are routinely available in an operating room when choosing a surgical approach. Materials and Methods: 5621 patients with MI and emergency PCI were retrospectively selected from the database of the City Clinical Hospital No.13 (Nizhny Novgorod, Russia); among them, there were 3935 men (70%) and 1686 women (30%), their mean age was 61.5±10.8 years. CMVO was recorded in 201 (4%) patients (the blood flow in the infarction-related artery after PCI was less than 3 points according to TIMI flow grade). The following input parameters were assessed: age, gender, past history of coronary artery disease, previous revascularization, presence of ST-segment elevation, a class of acute heart failure, a fact of systemic thrombolytic therapy administration and its effectiveness, symptom-to-balloon time, severity of coronary thrombosis and atherosclerosis, the number of stents and the number of operated coronary arteries. The sampling was divided into a training group (n=4060), a testing group (n=717), and an independent validation group (n=844). Results: We developed an artificial neural network by a fully connected multilayer perception with forward signal propagation and two hidden layers (the area under the ROC curve - 0.69) to predict CMVO based on the subsampling for training and testing. The network model was tested on an independent subsampling (the area under the ROC curve - 0.64, negative predictive value - 97.4%, positive predictive value - 14.6%). Conclusion: The developed artificial neural network enables to use the parameters routinely available in an operating room when choosing a surgical approach and predict CMVO development during PCI in MI patients with accuracy sufficient for practical use.

[Effect of Type 2 Diabetes Mellitus on Five­Year Survival of Patients Hospitalized Because of Acute Decompensated Heart Failure].

OBJECTIVE: To assess the impact of type 2 diabetes mellitus (T2DM) on prognosis of patients hospitalized because of acute decompensated heart failure (ADHF). MATERIALS AND METHODS: We analyzed data of the hospital register of ADHF which comprised information on 735 patients (254 [35%] with T2DM) consecutively admitted in 2010-2011. Median follow­up was 1790 days. RESULTS: The presence of T2DM was associated with increased risk of death: during the index hospitalization due to ADHF (hazard ratio [HR] 1.7, 95% confidence interval [CI] 1.0-2.8), within 18 months (HR 1.4, 95% CI 1.0-1.8), and within 5 years (HR 1.3, 95% CI 1.0-1.5). CONCLUSIONS: T2DM is common among acute decompensated heart failure patients (up to 35% of cases). T2DM is an independent risk factor of death during the index hospitalization and over the next 18 months and 5 years.

[Variability of glycemia and ventricular rhythm disturbances in patients with chronic heart failure and type 2 diabetes mellitus].

Aim of this observational study was assessment of effect of variability of glycemia on ventricular ectopic activity in patients with chronic heart failure (CHF) and type 2 diabetes mellitus (n=80). According to study protocol 24-hour Holter ECG monitoring was carried out at baseline, and after 3 and 6 months. Measurements of blood glucose level were made at 8 points during ECG monitoring - before and in 2 hours after main meals, before bedtime and at 3 o'clock in the morning. In 20 patients continuous combined monitoring of ECG and of blood glucose level was carried out. During monitoring of ECG high grade ventricular arrhythmias were found in 42 patients (53%). Pronounced variations of blood glucose level (mean amplitude of glycemic excursion >5 mmol/L) were associated with 2.3 fold increase risk of ventricular arrhythmias (p=0.04). A conclusion was made that pronounced 24-hour variations of glucose level in blood was associated with elevation of ventricular ectopic activity. High 24-hour variability of glycemia appeared to be proarrhythmogenic factor in patients with CHF and concomitant diabetes.

[Prognostic value of cardiovascular autonomic neuropathy in patients with combination type 2 diabetes mellitus and chronic heart failure].

Type 2 diabetes mellitus (DM) is often combined with chronic heart failure (CHF). Cardiovascular autonomic neuropathy (CAN) is widely spread complication of DM. In this work we studied effect of CAN on the course of CHF in patients with type 2 DM. We have shown unfavorable effect of CAN on the rate of development of myocardial infarction and course of CHF in patients with type 2 DM. We have demonstrated participation of CAN in pathogenesis of CHF and necessity of diagnostics of CAN in patients with combination of type 2 DM and CHF.

[Chronic heart failure in patients with type-2 diabetes].

Combination of diabetes and chronic heart failure is a frequently occurring syndrome. We studied interrelationship between state of carbohydrate metabolism, diabetic nephropathy and level of natriuretic peptide in patients with type 2 diabetes and concomitant chronic heart failure. The study confirmed high diagnostic value of natriuretic peptide as quantitative criterion of the presence of heart failure and revealed association of decompensation of carbohydrate metabolism and presence of diabetic nephropathy with more severe heart failure and left ventricular dysfunction. Among patients with renal failure those with more severe heart failure had low values of glycosylated hemoglobin.