Search

Type 1 diabetes mellitus (DM) is one of the most common autoimmune disease that is treated with lifelong insulin therapy. Non-target indicators of glycemic control, which are observed in 71% of patients, lead to the formation and progression of diabetes complications, early disability and mortality. In this regard, the search for new approaches to the treatment and prevention of type 1 DM seems to be relevant. Various methods of immunological prophylaxis for the development of type 1 DM have been studied, in particular, the use of monoclonal antibodies. Thus, in November 2022, teplizumab was approved to slow down the clinical progression of the stage of type 1 DM. The prospects for the use of new options for islet cell transplantation are being studied — in June 2023, an allogeneic donor β-cell transplant obtained from the pancreas of donors after death was approved. Another pathogenetically substantiated method for the prevention and treatment of autoimmune diseases is high-dose immunosuppressive therapy with autologous hematopoietic stem cell transplantation (HDIT-HSCT). HDIT-HSCT demonstrated its effectiveness and cost-effectiveness in various clinical trials. This review provides up-to-date information on modern methods of immunological prophylaxis of type 1 DM.

This study presents the findings of the magnetic resonance morphometric analysis of brain subcortical structures in patients with remitting relapsing multiple sclerosis (RRMS) and secondary progressive multiple sclerosis (SPMS) phenotypes in comparison with the control group. The study revealed significant differences between the volume of the left nucleus accumbens [control:RRMS= 570,108 ± 100,024:487,851 ± 124,174; F(p) ANOVA=

Introduction. Modern transplantation and biological therapy methods are associated with a wide range of adverse events and complications. Incidence and variety of neurological complications mostly depend on myelo- and immunosuppression severity and duration as well as on donor's and recipient's characteristics. The most frequent complications involving the nervous system include neurotoxic reactions, infections, autoimmune and lymphoproliferative diseases, and dysmetabolic conditions as well as cerebrovascular complications that potentially affect transplantation outcomes. Objective. To evaluate the impact of post-transplantation cerebrovascular events (CVEs) on transplantation outcomes in patients with hematologic malignancies. Materials and methods. We analyzed 899 transplantations performed at the Raisa Gorbacheva Memorial Research Institute for Pediatric Oncology, Hematology, and Transplantation, Pavlov First Saint Petersburg State Medical University, from 2016 to 2018. We assessed transplantation parameters and donor's and recipient's characteristics by intergroup comparison, pseudo-randomization (propensity score matching), KaplanMeier survival analysis, and log-rank tests. Results. Post-transplantatively, CVEs developed in 2.6% (n = 23) of cases: 13 (1.4%) ischemic strokes and 11 (1.2%) hemorrhagic strokes or intracranial hemorrhages were diagnosed. CVEs developed on days 99.5 39.2 post hematopoetic stem cell transplantation (HSCT). There were more patients with non-malignant conditions in the CVE group as compared to the non-CVE group (21.7% vs 7.9%; p = 0.017). Patients with CVE had a significantly lower Karnofsky index (75.6 21.3 vs 85.2 14.9; p = 0.008). Statistically, we also note some non-significant trends: patients with CVE more often underwent allogenic HSCT (82.6% vs 64.0%; p = 0.077) while donors were more often partially (rather than totally) HLA compatible for recipients (39.1% vs 21.1%; p = 0.33). Patients with CVE more often had a history of venous thromboses (13.3% vs 4.2%; p = 0.077). Post-HSCT stroke decreased post-transplantation longevity by approximately 3 times (331.8 81.6 vs 897.9 25.4 post HSCT; p = 0.0001). In the CVE group, survival during first 180 days post HSCT (landmarks post-HSCT Day+60 and Day+180) was significantly lower as compared to that in the CVE-free group. If CVE developed during first 30 days and 100 days post HSCT, vascular catastrophe did not affect post-HSCT survival significantly. Conclusion. Whereas ischemic stroke is a long-term HSCT complication (beyond D+100 post transplantation), hemorrhagic stroke is a short-term complication (D0D+100 post HSCT). CVEs affect survival in patients with hematologic malignancies, especially those developed between D+60 and D+180 post HSCT. History of venous abnormalities, low Karnofsky index at HSCT initiation, and the type of allogenic HSCT, especially from half-matched donors, can be considered as negative outcome risk factors in post-HSCT CVE.

An approach to the preparation of pullulan-graft-poly(2-methyl-2-oxazoline)s based on Cu-catalyzed azide–alkyne cycloaddition with polyoxazoline-azide was applied. All of the obtained polymers were characterized through classical molecular hydrodynamic methods and NMR. The formation of graft copolymers was accomplished by oxidative degradation of pullulan chains. Nevertheless, graft copolymers were obtained as uniform products with varied side chain lengths and degrees of substitution.

Introduction. More than 50,000 haematopoietic stem cell transplantations (HSCTs) are performed worldwide each year to treat malignant blood cancers, solid tumours, bone marrow aplasia, primary immunodeficiency conditions, autoimmune disorders, and storage disorders. The success of HSCTs depends on many factors, including patient's past medical history. Purpose. To assess the effect of an acute cerebrovascular accident (CVA) that occurred before the HSCT on the transplantation outcome in patients with blood cancer. Materials and methods. We examined the results of 899 transplantations conducted between 2016 and 2018 at the R.M. Gorbacheva Research Institute for Pediatric Oncology, Haematology and Transplantation of the Pavlov First Saint Petersburg State Medical University. We analysed transplantation parameters, as well as donor and recipient characteristics. Apart from intergroup comparisons, pseudo-randomization was performed using the Propensity Score Matching method. The survival rate analysis was conducted using the KaplanMeier estimate and the log rank test. Results. Sixteen patients (1.8%) had cerebrovascular events in their past history before the HSCT: ischaemic stroke in 0.4% of cases and haemorrhagic stroke or intracerebral haemorrhage in 1.4% of cases. Patients with a history of cerebrovascular events included more people with leukaemia (p = 0.02), had more often received an allogenic transplant (р = 0.01), the donors more often had a partial rather than a full HLA match with the recipient (р = 0.06), had a lower body mass index (р = 0.02), and a lower Karnofsky/Lansky score (р = 0.01) than patients in the control group. The presence of a cardiovascular event had a statistically significant association with reduced overall survival rate of HSCT recipients (р = 0.0012). Conclusion. Patients with blood cancer and stroke preceding the transplantation do not typically have any 'classical' risk factors (diabetes mellitus, venous system disorders, decreased cardiac output, significant atherosclerotic changes in precerebral arteries), therefore, secondary prevention guidelines for CVA during treatment of the main disease may not be effective and cannot be relied on. This article discusses the most likely causes of CVA in patients with blood cancer. A history of CVA before HSCT may have a significant effect on the transplantation outcome, but is not a contraindication for this treatment method. Recipient selection is a very important stage in HSCT planning. A multidisciplinary team should find a balance between the indications and contraindications for performing HSCT from an unrelated donor.

In this single-center analysis, we evaluated the trends in 5185 hematopoietic cell transplantations performed between 1990 and 2022. The study group comprised 3237 allogeneic (alloHCT) and 1948 autologous (autoHCT) hematopoietic cell transplantations. In the multivariate analysis, there was an improvement in event-free-survival (EFS) after autoHCT (HR 0.6, 95% CI 0.4–0.7, p < 0.0001) due to reduced cumulative incidence of relapse in the last five years (56% in 2010–2014 vs. 38% in 2015–2022). An improvement in EFS after alloHCT over time was observed (HR 0.33, 95% CI 0.23–0.48, p < 0.0001), which was due to reduced non-relapse mortality. No difference in cumulative relapse incidence was observed over the last decade for allografted patients. Survival after autoHCT improved in Hodgkin’s disease (HR 0.1, 95% CI 0.1–0.3), multiple myeloma (HR 0.4, 95% CI 0.2–0.7) and solid tumors (HR 0.2, 95% CI 0.2–0.4), while after alloHCT, improvement was observed in acute myeloid leukemia (HR 0.3, 95% CI 0.1–0.5), acute lymphoblastic leukemia (HR 0.2, 95% CI 0.1–0.5), Hodgkin’s disease (HR 0.1, 95% CI 0.0–0.4), non-Hodgkin’s lymphomas and chronic lymphocytic leukemia (HR 0.2, 95% CI 0.0–0.6), inborn diseases (HR 0.2, 95% CI 0.2–0.4) and acquired aplastic anemia with matched related donors and matched unrelated donors (HR 0.3, 95% CI 0.2–0.8).

This paper studies the working principles of antagonistic magneto-rheological (MR) actuators, i.e., a combination of an electric motor and a pair of MR clutches in an antagonistic configuration, for compliant actuation in robotics. The study focuses on the unique boundedness property exhibited by MR actuators, which limits the output torques delivered to the load, independent of the received input torque and/or control commands. This inherent property is of significant importance for ensuring human safety in human–robot interaction applications. Through a comprehensive analysis, we provide analytical proof of the inherent output boundedness of antagonistic MR actuators and validate our findings through experimental results. Our research demonstrates that these actuators are well-suited for safe operations in robotic applications, eliminating the need for additional sensor measurements or complex control strategies. This promising capability enables the avoidance of trade-offs between actuator performance, complexity, and cost. The insights gained from this study contribute to advancing compliant actuation technology, paving the way for high-performance and human-safe robotic systems.

Transcriptomic analysis conducted by us previously revealed upregulation of genes involved in low-density lipoprotein particle receptor (LDLR) activity pathway in lethal COVID-19 caused by SARS-CoV-2 virus (severe acute respiratory syndrome coronavirus 2). Last data suggested the possible role of extracellular vesicles in COVID-19 pathogenesis. The aim of the present study was to retrospectively evaluate parameters of cholesterol metabolism and newly identified EVs, exomeres, as possible predictors of fatal outcome of COVID-19 patients infected by the Alpha and the Delta variants of SARS-CoV-2 virus. Blood from 67 patients with severe COVID-19 were collected at the time of admission to the intensive care unit (ICU) and 7 days after admission to the ICU. After 30 days patients were divided into two subgroups according to outcome-34 non-survivors and 33 survivors. This study demonstrated that plasma low- and high-density lipoprotein cholesterol levels (LDL-C and HDL-C) were decreased in non-survivors compared to controls at the time of admission to the ICU. The conjoint fraction of exomeres and LDL particles measured by dynamic light scattering (DLS) was decreased in non-survivors infected by the Alpha and the Delta variants compared to survivors at the time of admission to the ICU. We first showed that reduction of exomeres fraction may be critical in fatal outcome of COVID-19.

Abstract Background Several anti-cytokine therapies were tested in the randomized trials in hospitalized patients with severe acute respiratory syndrome coronavirus 2 infection (COVID-19). Previously, dexamethasone demonstrated a reduction of case-fatality rate in hospitalized patients with respiratory failure. In this matched control study we compared dexamethasone to a Janus kinase inhibitor, ruxolitinib. Methods The matched cohort study included 146 hospitalized patients with COVID-19 and oxygen support requirement. The control group was selected 1:1 from 1355 dexamethasone-treated patients and was matched by main clinical and laboratory parameters predicting survival. Recruitment period was April 7, 2020 through September 9, 2020. Results Ruxolitinib treatment in the general cohort of patients was associated with case-fatality rate similar to dexamethasone treatment: 9.6% (95% CI [4.6–14.6%]) vs 13.0% (95% CI [7.5–18.5%]) respectively (p = 0.35, OR = 0.71, 95% CI [0.31–1.57]). Median time to discharge without oxygen support requirement was also not different between these groups: 13 vs. 11 days (p = 0.13). Subgroup analysis without adjustment for multiple comparisons demonstrated a reduced case-fatality rate in ruxolitnib-treated patients with a high fever (≥ 38.5 °C) (OR 0.33, 95% CI [0.11–1.00]). Except higher incidence of grade 1 thrombocytopenia (37% vs 23%, p = 0.042), ruxolitinib therapy was associated with a better safety profile due to a reduced rate of severe cardiovascular adverse events (6.8% vs 15%, p = 0.025). For 32 patients from ruxolitinib group (21.9%) with ongoing progression of respiratory failure after 72 h of treatment, additional anti-cytokine therapy was prescribed (8–16 mg dexamethasone). Conclusions Ruxolitinib may be an alternative initial anti-cytokine therapy with comparable effectiveness in patients with potential risks of steroid administration. Patients with a high fever (≥ 38.5 °C) at admission may potentially benefit from ruxolitinib administration. Trial registration The Ruxolitinib Managed Access Program (MAP) for Patients Diagnosed With Severe/Very Severe COVID-19 Illness NCT04337359, CINC424A2001M, registered April, 7, 2020. First participant was recruited after registration date

Purpose: The aim of this research is to develop an accurate and interpretable aggregated score not only for hospitalization outcome prediction (death/discharge) but also for the daily assessment of the COVID-19 patient's condition.Patients and Methods: In this single-center cohort study, real-world data collected within the first two waves of the COVID-19 pandemic was used (27.04.2020–03.08.2020 and 01.11.2020–19.01.2021, respectively). The first wave data (1,349 cases) was used as a training set for the score development, while the second wave data (1,453 cases) was used as a validation set. No overlapping cases were presented in the study. For all the available patients' features, we tested their association with an outcome. Significant features were taken for further analysis, and their partial sensitivity, specificity, and promptness were estimated. Sensitivity and specificity were further combined into a feature informativeness index. The developed score was derived as a weighted sum of nine features that showed the best trade-off between informativeness and promptness.Results: Based on the training cohort (median age ± median absolute deviation 58 ± 13.3, females 55.7%), the following resulting score was derived: APTT (4 points), CRP (3 points), D-dimer (4 points), glucose (4 points), hemoglobin (3 points), lymphocytes (3 points), total protein (6 points), urea (5 points), and WBC (4 points). Internal and temporal validation based on the second wave cohort (age 60 ± 14.8, females 51.8%) showed that a sensitivity and a specificity over 90% may be achieved with an expected prediction range of more than 7 days. Moreover, we demonstrated high robustness of the score to the varying peculiarities of the pandemic.Conclusions: An extensive application of the score during the pandemic showed its potential for optimization of patient management as well as improvement of medical staff attentiveness in a high workload stress. The transparent structure of the score, as well as tractable cutoff bounds, simplified its implementation into clinical practice. High cumulative informativeness of the nine score components suggests that these are the indicators that need to be monitored regularly during the follow-up of a patient with COVID-19.

Machine learning methods to predict the risk of epilepsy, including vascular epilepsy, in oncohematological patients are currently considered promising. These methods are used in research to predict pharmacoresistant epilepsy and surgical treatment outcomes in order to determine the epileptogenic zone and functional neural systems in patients with epilepsy, as well as to develop new approaches to classification and perform other tasks. This paper presents the results of applying machine learning to analyzing data and developing diagnostic models of epilepsy in oncohematological and cardiovascular patients. This study contributes to solving the problem of often unjustified diagnosis of primary epilepsy in patients with oncohematological or cardiovascular pathology, prescribing antiseizure drugs to patients with single seizure syndromes without finding a disease associated with these cases. We analyzed the hospital database of the V.A. Almazov Scientific Research Center of the Ministry of Health of Russia. The study included 66,723 treatment episodes of patients with vascular diseases (I10–I15, I61–I69, I20–I25) and 16,383 episodes with malignant neoplasms of lymphoid, hematopoietic, and related tissues (C81–C96 according to ICD-10) for the period from 2010 to 2020. Data analysis and model calculations indicate that the best result was shown by gradient boosting with mean accuracy cross-validation score = 0.96. f1-score = 98, weighted avg precision = 93, recall = 96, f1-score = 94. The highest correlation coefficient for G40 and different clinical conditions was achieved with fibrillation, hypertension, stenosis or occlusion of the precerebral arteries (0.16), cerebral sinus thrombosis (0.089), arterial hypertension (0.17), age (0.03), non-traumatic intracranial hemorrhage (0.07), atrial fibrillation (0.05), delta absolute neutrophil count (0.05), platelet count at discharge (0.04), transfusion volume for stem cell transplantation (0.023). From the clinical point of view, the identified differences in the importance of predictors in a broader patient model are consistent with a practical algorithm for organic brain damage. Atrial fibrillation is one of the leading factors in the development of both ischemic and hemorrhagic strokes. At the same time, brain infarction can be accompanied both by the development of epileptic seizures in the acute period and by unprovoked epileptic seizures and development of epilepsy in the early recovery and in a longer period. In addition, a microembolism of the left heart chambers can lead to multiple microfocal lesions of the brain, which is one of the pathogenetic aspects of epilepsy in elderly patients. The presence of precordial fibrillation requires anticoagulant therapy, the use of which increases the risk of both spontaneous and traumatic intracranial hemorrhage.

Deficit of donor organs is main critical factor limiting of organ transplantation. In article highlighted the organ donation practice in SaintPetersburg with accent on unsuccessful attempts of the increasing of number deceased organ donors. Given by analyses of neurosurgical and neurological rates of mortality last three years, the authors tried to ground the urgency of the putting in clinical practice the optimization of the transplant algorithms, organ donor’s audit, and the implementation of new approach to define organ donor’s process stages. In article are presented the results worked out of the metrics coefficients for estimating donation potential of emergency hospitals. There was done the study of involvement and education in organ donation practice, legislative issues among critical care professionals, neurologists and critical care nurses. In articles is presented the first attempt of estimate of economical aspects of donation process in donor’s hospitals. There was done the recommendation for national organ donation network creating.

To assess the biology of the lethal endpoint in patients with SARS-CoV-2 infection, we compared the transcriptional response to the virus in patients who survived or died during severe COVID-19. We applied gene expression profiling to generate transcriptional signatures for peripheral blood mononuclear cells (PBMCs) from patients with SARS-CoV-2 infection at the time when they were placed in the Intensive Care Unit of the Pavlov First State Medical University of St. Petersburg (Russia). Three different bioinformatics approaches to RNA-seq analysis identified a downregulation of three common pathways in survivors compared with nonsurvivors among patients with severe COVID-19, namely, low-density lipoprotein (LDL) particle receptor activity (GO:0005041), important for maintaining cholesterol homeostasis, leukocyte differentiation (GO:0002521), and cargo receptor activity (GO:0038024). Specifically, PBMCs from surviving patients were characterized by reduced expression of PPARG, CD36, STAB1, ITGAV, and ANXA2. Taken together, our findings suggest that LDL particle receptor pathway activity in patients with COVID-19 infection is associated with poor disease prognosis.

We report the results of studies on the influences of the organic carbon dioxide absorbent – aqueous solution of activated methyldiethanolamine (MDEA) – on the physico-chemical and mechanical characteristics of nickel-alumina catalyst NIAP-07-01 (NKM-1) and cement-containing catalysts NIAP-07-07 (NKM-7), Meth-134 and Meth-135 for the hydrogenation of carbon oxide (methanation). It is established that for the nickel-alumina and nickel-cement-containing catalysts subjected to activated methyldiethanolamine (MDEA) it’s possible to restore their strength and catalytic properties. In order to increase the time of operation of the methanator it is recommended to apply a new Nickel cement-containing catalyst NIAP-07-07 (NKM-7), which can be produced as tablets, rings or extrudates.

The dynamics of cerebral blood flow in acute ischemic strokewas studied with allowance for a pathogenic classification ofstroke. Analysis of the ultrasound parameters demonstrated thatparticular attention should be given to quantitative, rather thanqualitative, parameters of blood flow. The dynamics of cerebralblood flow in different etiologies of cerebral stroke is reflectedin specific changes in the linear velocities, which relates a strokesubtype to the factors determining the need for extended monitoring.Clinical and instrumental assessment of the developmentof hemodynamic disorders during reperfusion after stroke bymeans of Doppler ultrasound demonstrated that, depending onthe etiology of ischemic stroke, recovery of the intracerebral hemodynamicsparameters to normal values occurs differently andhas its features that, if timely detected, may affect correction ofthe strategy and tactics of treatment. Based on these data, we suggesta differentiated algorithm of extended Doppler monitoringof cerebral blood flow in acute ischemic stroke.

For the work results correct interpretation, it is important to study initial materials that scientists have to deal with. Currently, there are a large number of different diamond substrates. Comparison of materials among themselves allows you to determine which material you are dealing with. In this work, the methods of infrared (IR) spectrometry, Raman spectroscopy and spectrophotometry are used to study four types of diamond materials: diamond polycrystalline CVD-films; natural single-crystal diamonds; synthetic polycrystalline HPHT-diamonds (such as DSPC – diamond synthetic polycrystal by GOST 9206-80); polycrystalline CVD-diamonds CDM manufactured by E6. In work it was shown that the Raman spectroscopy allows to measure the effect of heat treatment on changes in the diamond structure, even if it is such highly advanced diamond materials as natural diamonds. Heat treatment affects the perfection of diamond crystal structure by reducing stresses and the number of defects in it due to graphitization process. The IR spectrometry method is effective for determining the shape and amount of nitrogen inclusions in diamond structure. To study polycrystalline CVD-films, the spectrophotometry method turned out to be the most effective, because it made possible to determine a small number of nitrogen defects and draw conclusions about the quality of the films. The investigation of polycrystalline diamonds CDM and DSPC demonstrated that, despite their coarse-crystalline structure, diamond crystallites consist of a highly defective diamond phase; in addition, DSPC-diamonds were studied using this method in the first time.