Search Results - "B. I. Geltser"

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  1. 1

    Estimation of Renal Clearance in Hypertensive Rats According to fMRI Data by Agafonova, I. G., Kotelnikov, V. N., Geltser, B. I.

    “…Renal clearance in Wistar rats with multifactorial cardiovasorenal model of arterial hypertension was assessed by fMRI using (EPI_Diffusion_map) protocol after…”
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    Journal Article
  2. 2

    Structural and Functional Changes of the Thoracic Aorta in Experimental Arterial Hypertension by Agafonova, I. G., Kotelnikov, V. N., Geltser, B. I.

    “…The functional characteristics of the thoracic aorta in Wistar rat with experimental arterial hypertension were studied using MRI. The intravital images of the…”
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  3. 3

    Comparative Assessment of the Influence of Embolizing Agents on the Adrenal Parenchyma by Annayev, M. S., Stegniy, K. V., Geltser, B. I., Goncharuk, R. A., Seliutin, S. M., Maslyantsev, E. V., Fisenko, V. G., Dvoinikova, E. R., Zvereva, L. V.

    “…A comparative analysis of morphological and functional changes in the adrenal glands after embolization of supplying arteries with Lifepearl microspheres…”
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  4. 4

    Comparative analysis of the strength of the respiratory muscles in community-acquired pneumonia with different severity of endogenous intoxication by Geltser, B. I., Dej, A. A., Titorenko, I. N., Kotelnikov, V. N.

    Published in Terapevtic̆eskii arhiv (27-04-2020)
    “…Aim. To assess the strength of the respiratory muscles in patients with community-acquired pneumonia (CAP) with varying severity of endogenous intoxication…”
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  5. 5

    Assessment of the respiratory muscles strength at patients with chronic obstructive pulmonary disease with various forms of comorbidity by Kurpatov, I. G., Geltser, B. I., Kinyaikin, M. F.

    Published in Terapevtic̆eskii arhiv (27-04-2020)
    “…The respiratory muscles (RM) strength is the main indicator of their functional state. However, RM strength is not used as criteria for chronic obstructive…”
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  6. 6

    Chronic obstructive pulmonary disease and cerebrovascular diseases: functional and clinical aspect of comorbidity by Geltser, B I, Kurpatov, I G, Kotelnikov, V N, Zayats, Yu V

    Published in Terapevtic̆eskii arhiv (19-04-2018)
    “…Literature data of chronic obstructive pulmonary disease (COPD) and cerebrovascular diseases (CVD) comorbidity are represented in this review. Key aspects of…”
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  7. 7

    Comparative Analysis of the Effectiveness of Riskometer Scales in Predicting the Risk of in-Hospital Mortality in Patients With ST-Segment Elevation Myocardial Infarction After Percutaneous Coronary Intervention by Geltser, B I, Shahgeldyan, K I, Domzhalov, I G, Kuksin, N S, Kotelnikov, V N, Kokarev, E A

    Published in Kardiologiia (31-08-2024)
    “…Comparative evaluation of the effectiveness of riskometer scales in predicting in-hospital death (IHD) in patients with ST-segment elevation myocardial…”
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  8. 8

    Parameters of complete blood count and coronary lesions in predicting inhospital mortality in patients with acute ST-segment elevation myocardial infarction after percutaneous coronary intervention by Geltser, B. I., Shahgeldyan, K. I., Domzhalov, I. G., Kuksin, N. S., Kotelnikov, V. N.

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (01-03-2024)
    “…Aim.  To evaluate the predictive potential of complete blood count (CBC) and coronary involvement parameters for predicting inhospital mortality in patients…”
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  9. 9

    Performance of the Models Predicting In-Hospital Mortality in Patients with ST-Segment Elevation Myocardial Infarction with Predictors in Categorical and Continuous Forms by Shakhgeldyan, K I, Kuksin, N S, Domzhalov, I G, Geltser, B I

    Published in Sovremennye tekhnologii v medit͡s︡ine (01-01-2024)
    “…is to assess the performance of predictive models developed on the basis of predictors in the continuous and categorical forms to predict the probability of…”
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  10. 10

    Machine learning in predicting immediate and long-term outcomes of myocardial revascularization: a systematic review by Geltser, B. I., Rublev, V. Yu, Tsivanyuk, M. M., Shakhgeldyan, K. I.

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (04-09-2021)
    “…Machine learning (ML) is among the main tools of artificial intelligence and are increasingly used in population and clinical cardiology to stratify…”
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  11. 11
  12. 12

    Magnetic Resonance Imaging of Rat Brain in Assessment of the Neuroprotective Properties of Histochrome in Experimental Arterial Hypertension by Agafonova, I. G., Kotel’nikov, V. N., Geltser, B. I.

    “…The neuroprotective effects of the course therapy with Histochrome in Wistar rats with modeled arterial hypertension were studied by using magnetic resonance…”
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  13. 13

    Behavioral Status in Rats with Experimental Comorbidity of Chronic Obstructive Pulmonary Disease and Acute Cerebral Ischemia by Geltser, B. I., Kotelnikov, V. N., Zayats, Yu. V.

    Published in Neuroscience and behavioral physiology (01-05-2020)
    “…Objectives. To undertake a comparative analysis of the behavioral patterns of rats with experimental chronic obstructive pulmonary disease (COPD), acute…”
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  14. 14

    Electrocardiographic, echocardiographic and lipid parameters in predicting obstructive coronary artery disease in patients with non-ST elevation acute coronary syndrome by Tsivanyuk, M. M., Geltser, B. I., Shakhgeldyan, K. I., Emtseva, E. D., Zavalin, G. S., Shekunova, O. I.

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (01-07-2022)
    “…Aim . To assess the predictive potential of electrocardiographic (ECG), echocardiographic, and lipid parameters for predicting obstructive coronary artery…”
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  15. 15

    Machine learning for assessing the pretest probability of obstructive and non-obstructive coronary artery disease by Geltser, B. I., Tsivanyuk, M. M., Shakhgeldyan, K. I., Rublev, V. Yu

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (08-06-2020)
    “…The review presents an analysis of publications on use of machine learning (ML) to assess the pretest probability of obstructive and non-obstructive coronary…”
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  16. 16

    Parameters of complete blood count, lipid profile and their ratios in predicting obstructive coronary artery disease in patients with non-ST elevation acute coronary syndrome by Tsivanyuk, M. M., Geltser, B. I., Shakhgeldyan, K. I., Vishnevskiy, A. A., Shekunova, O. I.

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (04-09-2022)
    “…Aim. To evaluate the predictive potential of the parameters of complete blood count (CBC), lipid profile and their ratios for predicting obstructive coronary…”
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    Journal Article
  17. 17

    Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by Geltser, B. I., Tsivanyuk, M. M., Shakhgeldyan, K. I., Emtseva, E. D., Vishnevskiy, A. A.

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (01-12-2021)
    “…Aim . To develop predictive models of obstructive coronary artery disease (OPCA) in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS)…”
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  18. 18

    Functional State of Respiratory Muscles in Patients with Chronic Obstructive Pulmonary Disease by Kurpаtov, I. G., Geltser, B. I., Kotelnikov, V. N., Kinyaykin, M. F.

    Published in Tuberkulëz i bolezni lëgkikh (17-07-2021)
    “…The objective : to assess the strength of respiratory muscles (RM) in patients with chronic obstructive pulmonary disease (COPD) and determine the role of…”
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  19. 19

    Prediction of in-hospital mortality in patients with ST-segment elevation acute myocardial infarction after percutaneous coronary intervention by Geltser, B. I., Shahgeldyan, K. I., Domzhalov, I. G., Kuksin, N. S., Kokarev, E. A., Kotelnikov, V. N., Rublev, V. Yu

    Published in Rossiĭskiĭ kardiologicheskiĭ zhurnal (11-07-2023)
    “…Aim. Development of models for predicting in-hospital mortality (IHM) in patients with ST-segment elevation myocardial infarction (STEMI) after percutaneous…”
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  20. 20

    Machine learning for predicting 5-year mortality risks: data from the ESSE-RF study in Primorsky Krai by Nevzorova, V. A., Brodskaya, T. A., Shakhgeldyan, K. I., Geltser, B. I., Kosterin, V. V., Priseko, L. G.

    “…Aim. To develop and perform comparative assessment of the accuracy of models for predicting 5-year mortality risks according to the Epidemiology of…”
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