Single Cross-Sectional Analysis; Post-Myocardial Infarction Instrumental &amp; Laboratory changes in Prognosis Behavior

Marzoog, Basheer Abdullah; Bloshkina, Natalia Igorevna; Gromova, Vera Sergeevna; Evlakhova, Anastasia Olegvona; Gorshinina, Elena Ivanovna

doi:10.1101/2023.02.25.23286453

Cited by 3 publications

(3 citation statements)

References 45 publications

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“…The pathophysiology of myocardial infarction includes a mismatch between the demand and supply of heart tissue with the blood [7,8] . Subsequently, cardiac cells start to suffer ischemia and is associated with sequalae, such as oxidative stress due to the deterioration of the mitochondrial bilayer membrane and cell membrane [3,9,18,19,[10][11][12][13][14][15][16][17] . The lipid content of membranes plays an essential role in cardiac cells in terms of ischemia, and, at the same time, maintaining stability during ischemia has a protective effect against ischemia [20] .…”

Section: Introductionmentioning

confidence: 99%

Early Prognostic Instrumental and Laboratory Biomarkers in Post-MI

Marzoog

2024

CHAMC

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Background: Post-myocardial infarction (MI) changes have been frequently reported in the literature and are associated with determining the prognosis. Aims: The aim of this study is to find a prognosis marker for the favorability of determination of the medium-term outcomes in patients with acute MI. Objectives: MI patients’ prognosis is poorly understood and requires further elaboration. Materials and Methods: A single center, cross-sectional cohort study involved 211 patients’ medical history with acute MI, for the period 2014-2019, had been evaluated retrospectively for 76 parameters. The data was collected from the Republic Rehabilitation Mordovian Hospital. The described measurement units were used in the local laboratories to describe the values. The descriptive values were expressed in the mean average and standard deviation. For statistical analysis, descriptive statistics, t-test independent by groups and dependent by numerical variables for repeated analysis for the same patients, multinomial logistic regression, Pearson’s correlation coefficient, ROC analysis, and for clarification purposes, diagrams and bar figures were used. For performing the statistical analysis, the SPSS program, version 28 was used. Results: Descriptive statistics showed a proportion of men to females 7:3. The mean age of the MI patients was 61.50 years (Std. Dev. ± 10.68), and the mean height of the sample was 171.00 cm (Std. Dev. ± 7.20). The mean body weight of the sample is 83.62 kg (Std. Dev. ± 12.35), and the body mass index (BMI) is 29.02 kg/m2 (Std. Dev. ± 5.07). The total hospitalization days are 14.79 (Std. Dev. ± 3.41). The mean heart rate (HR) beat per minute (bpm) was 79.03 (Std. Dev. ± 15.63), and the mean blood pressure was 138.53/84.09 mmHg (Std. Dev. ± 28.66/12.79). On the complete blood count (CBC), the mean level of the hemoglobin (Hb) 136.33 g/l (Std. Dev. ± 15.29), the mean level of the leukocytes (WBC) 8.76 /μl (Std. Dev. ± 2.77), the mean level of the red blood cells (RBC) 4.55 /μl (Std. Dev. ± 0.52), the mean level of the relative value of the lymphocytes 24.46 % (Std. Dev. ± 9.015), and the mean level of the thrombocytes 207.87 /μl (Std. Dev. ± 64.035). The mean erythrocytes segmentation rate (ESR) is 18.99 mm/hr (Std. Dev. ± 12.16). The regression analysis demonstrated that the dependent variable, complication, in particular, pericarditis, and the independent factor, concomitant disease, in particular, chronic heart failure, has a significant regression coefficient of 29.101 at p <0.05. Furthermore, the dependent variable, complication, in particular, pneumonitis, and the independent factor, concomitant disease, particularly, arrhythmia, have a significant regression coefficient of 21.937 at p <0.05. Conclusion: An elevated level of CPK-MB/LDH/Troponin I is linked to the development of arrhythmia. Patients with other medical conditions experience high diastolic blood pressure and an enlargement of the right ventricle. The early complication observed after MI is the formation of a left ventricular aneurysm. Complications arise due to low levels of potassium and calcium. Chronic Kidney Disease (CKD) contributes to the End-Diastolic Size (EDS) of the Left Ventricle (LV), Troponin I, and creatine phosphokinase-MB (CPK-MB). Advanced CKD patients have a hypertrophic left ventricle and persistently elevated post-myocardial Infarction (MI) cardiac biomarkers (CPKMB/ LDH/Troponin I) due to impaired kidney detoxification. Therefore, prolonged elevation of MI biomarkers can be an indicative of severe MI or kidney function impairment due to the chronic mild elevation in the MI biomarkers. Pericarditis development is related to the pre-existence of chronic heart failure. Moreover, pneumonitis development is related to the pre-existence of arrhythmia. Others: Hypertensive patients do not exhibit a significant increase in calcium levels, indicating that it is not a reliable biomarker in this patient population. Additionally, gender plays a crucial role in the development of ischemic heart disease, including myocardial infarction.

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Section: Introductionmentioning

confidence: 99%

Early Prognostic Instrumental and Laboratory Biomarkers in Post-MI

Marzoog

2024

CHAMC

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“…The pathophysiology of MI involves an imbalance between myocardial oxygen demand and supply [11,12]. Subsequently, cardiac cells experience ischemia, leading to sequelae such as oxidative stress due to mitochondrial and cellular membrane deterioration [7,[13][14][15][16][17][18][19][20][21][22][23]. The lipid content of membranes plays a crucial role in cardiac cells regarding ischemia tolerance.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Early Prognostic Instrumental and Laboratory Biomarkers in Post-MI

Marzoog,

Vanichkina

2023

Preprint

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Background: Post-myocardial infarction (MI) changes have been reported frequently in the literature and are associated with the determination of the prognosis. Aims: To find a prognosis marker for the determination of the medium-term outcomes favorability in patients with acute MI. Objectives: MI victims prognosis is poorly understood and required further elaboration. Materials and methods: A single cross-sectional study involved 211 patients medical history with acute MI have been evaluated retrospectively for 76 parameters for the period 2014-2019. The data has been collected from the republic rehabilitation Mordovian hospital. Measurement units are used in the local laboratories has been used to describe the gotten values. The descriptive values are described in the mean average and standard deviation. For statistical analysis, descriptive statistics, t-test independent by groups and dependent by numerical variables for repeated analysis for the same patients, Pearsons correlation coefficient, ROC analysis, Stepwise Model Builder- logistic regression analysis, and for clarification purposes used diagrams and bar figures. For statistical analysis used the Statistica program. Results: Descriptive statistics showed a proportion of men to female 7:3. The mean age of the MI victims was 61,50 years (Std.Dev. 10,6875) and the mean height of the sample was 171,00 cm (Std.Dev. 7,2007). The mean body weight of the sample is 83,62 kg (Std.Dev. 12,3526) and the body mass index (BMI) is 29,02 kg/m2 (Std.Dev. 5,0791). The mean total hospitalization days is 14,79 (Std.Dev. 3,4125) days. The mean heart rate (HR) beat per minute (bpm) 79,03 (Std.Dev. 15,6370) and mean blood pressure 138,53/84,09 mmHg (Std.Dev. 28,6691/12,7971). On the complete blood count (CBC), the mean level of the hemoglobin (Hb) 136,332 g/l (Std.Dev. 15,2923), the mean level of the leukocytes (WBC) 8,768 /microL (Std.Dev. 2,7771), the mean level of the red blood cells (RBC) 4,559 /microL (Std.Dev. 0,5211), the mean level of the lymphocytes 24,469 % (Std.Dev. 9,0153), and the mean level of the thrombocytes 207,877 /microL (Std.Dev. 64,0350). The means erythrocytes segmentation rate (ESR) 18,990 mm/hr (Std.Dev. 12,1630). Conclusions: The gender plays an essential role for the development of ischemic heart disease including MI. The cut age in which females develop MI ≥73 years old. Patients with concomitant diseases have a high diastolic blood pressure and right ventricle size enlargement. The observed early post MI complication include left ventricle aneurysm and reinfarction. Others: a high calcium level is not a marker in hypertensive patients.

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Cytokines and Regulating Epithelial Cell Division

Abdullah Marzoog

2024

CDT

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Abstract:: Physiologically, cytokines play an extremely important role in maintaining cellular and subcellular homeostasis, as they interact almost with every cell in the organism. Therefore, cytokines play a significantly critical role in the field of pathogenic pharmacological therapy of different types of pathologies. Cytokine is a large family containing many subfamilies and can be evaluated into groups according to their action on epithelial cell proliferation; stimulatory include transforming growth factor-α (TGF-α), Interlukine-22 (IL-22), IL-13, IL-6, IL-1RA and IL-17 and inhibitory include IL-1α, interferon type I (IFN type I), and TGF-β. The balance between stimulatory and inhibitory cytokines is essential for maintaining normal epithelial cell turnover and tissue homeostasis. Dysregulation of cytokine production can contribute to various pathological conditions, including inflammatory disorders, tissue damage, and cancer. Several cytokines have shown the ability to affect programmed cell death (apoptosis) and the capability to suppress non-purpose cell proliferation. Clinically, understanding the role of cytokines' role in epithelial tissue is crucial for evaluating a novel therapeutic target that can be of use as a new tactic in the management of carcinomas and tissue healing capacity. The review provides a comprehensive and up-to-date synthesis of current knowledge regarding the multifaceted effects of cytokines on epithelial cell proliferation, with a particular emphasis on the intestinal epithelium. Also, the paper will highlight the diverse signaling pathways activated by cytokines and their downstream consequences on epithelial cell division. It will also explore the potential therapeutic implications of targeting cytokine- epithelial cell interactions in the context of various diseases.

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Single Cross-Sectional Analysis; Post-Myocardial Infarction Instrumental & Laboratory changes in Prognosis Behavior

Cited by 3 publications

References 45 publications

Early Prognostic Instrumental and Laboratory Biomarkers in Post-MI

Early Prognostic Instrumental and Laboratory Biomarkers in Post-MI

Early Prognostic Instrumental and Laboratory Biomarkers in Post-MI

Cytokines and Regulating Epithelial Cell Division

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