scholarly journals Cellular and humoral apoptosis markers in acute coronary syndrome combined with essential hypertension

2008 ◽  
Vol 14 (4) ◽  
pp. 332-335 ◽  
Author(s):  
L. V. Vasina
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Unstable Angina ◽  
Mononuclear Cells ◽  
Control Group ◽  
Annexin A5 ◽  
Healthy Individuals ◽  
Coronary Syndrome ◽  
Early Stages ◽  
Apoptosis Markers

The aim of this work was to examine the contents of annexin A5, sApo-1/Fas and sBcl-2 and the number of circulating mononuclear cells in apoptosis in order to clarify their role in the pathogenesis of acute coronary syndrome (ACS) combined with arterial hypertension (AH). We examined 83 patients with ACS (47 patients with unstable angina and 36 with myocardial infarction) and 14 healthy individuals. AH has been identified in 15 patients with unstable angina and in 17 with myocardial infarction. The number of viable mononuclear cells was significantly decreased and the number of mononuclear cells at the early stages of apoptosis (annexin A5-positive) was significantly increased as compared to control group in patients with the ACS, especially if combined with AH. At the same time there was a significant increase of sBcl-2 and sApo-1/Fas and annexin A5 in blood of the patients with myocardial infarction compared to patients with unstable angina, especially if combined with AH. The association between the level of sAro-1/Fas, annexin A5 and the number of circulating mononuclear cells at the early stages of apoptosis was shown in the study. Thus, in ACS, especially if combined with AH, enhanced cell apoptosis resulting from hemodynamic abnormal changes leads to activation of antiapoptotic mechanisms aimed at the decrease of the thrombophilia severity by reducing thrombogenic features of endotheliocytes subjected to apoptosis.

scholarly journals Level of uric acid and its, relationship with lipid peroxidation in sera of patients with acute coronary syndrome

2010 ◽  
Vol 7 (1) ◽  
pp. 696-703
Author(s):  
Baghdad Science Journal
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Lipid Peroxidation ◽  
Uric Acid ◽  
Unstable Angina ◽  
Thiobarbituric Acid ◽  
Control Group ◽  
Healthy Individuals ◽  
Significant Elevation ◽  
Coronary Syndrome

Unstable angina pectoris often leads to acute myocardial infarction. Since uric acid is thought to be risk factor for cardiovascular disease and considered a major antioxidant in human blood .The level of uric acid and lipid peroxidation in the sera of patients with unstable angina and myocardial infarction were measured and compared to the healthy individuals. Twenty-nine patients with unstable angina and twenty-nine patients with myocardial infarction were studied and compared to twenty-five healthy individuals. Uric acid was measured by using Human Kit. Malondialdelyde (MDA) a lipid peroxidation marker, was measured by thiobarbituric acid method .Significant elevation of uric acid and MDA were observed in the sera of patients with unstable angina and myocardial infarction compared to the control group , while a non significant correlation between uric acid and lipid peroxidation were found in the present study in the sera of patients with unstable angina and myocardial infarction.

scholarly journals C-Reactive Protein in Estimating Inflammatory Status in Patients with Acute Coronary Syndrome

2008 ◽  
Vol 27 (1) ◽  
pp. 35-39
Author(s):  
Olivera Dimitrijević ◽  
Blagica Đorić-Stojčevski ◽  
Svetlana Ignjatović ◽  
Nada Majkić-Singh
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Unstable Angina ◽  
Chronic Inflammation ◽  
Control Group ◽  
Healthy Population ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Coronary Syndrome ◽  
Inflammatory Status

C-Reactive Protein in Estimating Inflammatory Status in Patients with Acute Coronary Syndrome Chronic inflammation plays a key role in the pathogenesis of atherosclerosis, and is considered as a risk factor for the occurrence of acute coronary events, together with traditional risk factors such as age, smoking, hypercholesterolemia, diabetes mellitus and genetic predisposition. In this study, inflammatory status was estimated in patients with acute coronary syndrome. C-reactive protein, erythrocyte sedimentation rate and white blood cell count were measured at admission to the hospital in 25 patients with unstable angina pectoris and 31 patients with acute myocardial infarction, and compared with healthy control group (n = 59). C-reactive protein was the only parameter that differed significantly between all three groups (p < 0.0001), and patients with unstable angina had higher levels (median 7.28 mg/L) than patients with myocardial infarction (4.10 mg/L) and control group (1.07 mg/L). The obtained results show that levels of chronic inflammation in patients with acute coronary syndrome are significantly higher than baseline inflammation levels in a healthy population.

scholarly journals Acute Myocardial Infarction In Systemic Mastocytosis: Case Report With Literature Review Of The Role Of Inflammatory Process In Acute Coronary Syndrome

2020 ◽  
Vol 16 ◽  
Author(s):  
Ayman Battisha ◽  
Khalid Sawalha ◽  
Bader Madoukh ◽  
Omar Sheikh ◽  
Karim Doughem ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Plasma Lipids ◽  
Plaque Rupture ◽  
Systemic Mastocytosis ◽  
Cardiac Risk ◽  
Control Group ◽  
Coronary Syndrome

: Systemic Mastocytosis (SM) is a disorder of excessive mast cell infiltration in multiple organ tissues. Atherosclerosis is a major risk factor for developing acute coronary syndrome [1]. In addition to lipid accumulation in the arterial wall, inflammation plays an important role in the pathogenesis of plaque rupture and activating the thrombosis cascade [2]. The Mast cells contribution to plaque destabilization has been well established in multiple animal and human studies [3]. In a recent study, SM has been proven to be associated with a higher incidence of acute coronary syndrome even with lower plasma lipids level [4]. The study showed that 20% of patients with SM had cardiovascular events compared to only 6% in the control group with adjustment to all cardiac risk factors. Here, we present a case of acute myocardial infarction in a patient with SM with limited risk factors other than age.

Abstract 2602: Elevated Serum Neopterin Levels and Adverse Cardiac Events in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Juan Carlos Kaski ◽  
Luciano Consuegra-Sanchez ◽  
Daniel J. Fernandez-Berges ◽  
Jose M Cruz-Fernandez ◽  
Xavier Garcia-Moll ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Unstable Angina ◽  
Elevated Serum ◽  
Cardiac Events ◽  
St Segment Elevation ◽  
Coronary Syndrome ◽  
St Segment ◽  
Adverse Cardiac Events ◽  
Elevation Acute Coronary Syndrome

Objectives: We sought to assess whether plasma neopterin predicts adverse clinical outcomes in patients with NSTEACS. Background: Circulating C reactive protein (CRP), a marker of inflammation, correlates with events in patients with non-ST-segment elevation acute coronary syndrome (NSTEACS). High neopterin levels - a marker of macrophage activation - predict cardiovascular events in stable angina patients but their prognostic role in NSTEACS has not been systematically evaluated. Methods: We prospectively assessed 397 patients (74 % men) admitted with NSTEACS: 169 (42.5%) had unstable angina and 228 (57.5%) non-ST-segment elevation myocardial infarction (NSTEMI). Blood samples for neopterin and CRP assessment were obtained at admission. TIMI risk score was also assessed among other clinical and biochemical variables. The study end point was the composite of cardiac death, acute myocardial infarction and recurrent angina at 180-days. Results: Baseline neopterin concentrations (nmol/L) were similar in unstable angina and NSTEMI patients (8.3 [6.5–10.6] vs 8.0 [6.2–11.1], p = 0.54). Fifty-nine patients (14.9 %) had events during follow-up (highest third (%) 21.5 vs 1 st and 2 nd thirds 11.5, log rank 7.341, p = 0.007). On multivariable hazard Cox regression, only neopterin (highest vs 1 st and 2 nd thirds, HR 2.15, 95 % CI [1.21–3.81]) was independently associated with the combined endpoint.CRP levels, however, were not significantly different in patients with events compared to those without events (adjusted HR = 0.98, p = 0.89, 95% CI 0.80 –1.21). Conclusion: Increased neopterin levels are an independent predictor of 180-day adverse cardiac events in patients with NSTEACS.

scholarly journals Thyroid profile as a marker of poor prognostic factor in patients with acute coronary syndrome: a tertiary care hospital based observational study

2018 ◽  
Vol 15 (1) ◽  
pp. 39-41 ◽  
Author(s):  
Navaraj Paudel ◽  
Vijay Madhav Alurkar ◽  
Ramchandra Kafle ◽  
Abhishek Maskey ◽  
Subash Sapkota
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Unstable Angina ◽  
Tertiary Care ◽  
Care Hospital ◽  
Hormonal Changes ◽  
Poor Prognostic Factor ◽  
Coronary Syndrome ◽  
St Segment ◽  
Significant Difference

Background and aims: Serum thyroid hormonal changes can occur in acute or chronic non-thyroidal systemic illness including acute coronary syndrome in otherwise euthyroid individuals. In this study we aimed to assess thyroid hormonal profile in patients presenting with acute coronary syndromes (ACS) and compare between ST segment elevated myocardial infarction and unstable angina/Non ST segment elevated myocardial infarction.Methods: A hospital based, retrospective, observational comparative study was designed. Data of all patients with acute coronary syndrome presenting to hospital were collected from July 2015 through June 2017 in a pre-structured proforma and analyzed.Results: A total of 200 ACS patients between 23 years to 88 years with mean age of 61.33 ± 12.30 years were studied. One hundred and twenty seven (63.5%) were males. Among them 116 (58%) was ST segment elevated myocardial infarction (STEMI) patients while 84 (42%) were unstable angina/ non-ST elevated myocardial infarction (UA/ NSTEMI) patients. Total 47 (23.5%) patients had abnormal TFT of which 28(59.5%) had Euthyroid Sick Syndrome, 12(25.5%) had subclinical hypothyroidism, 5(10.6%) had subclinical hyperthyroidism and 2(4.25%) had low fT4 with normal fT3 and normal TSH. There was significant difference in TFT in patients with STEMI and UA/NSTEMI (P=0.006).There were higher rates of heart failure (p= 0.001 & 0.003 in STEMI & UA/NSTEMI respectively), longer length of hospital stay (3+0.17 days) and high mortality (more than 4 fold) in all types of ACS patients with abnormal TFT than ACS patients with normal TFT.Conclusion: There is higher prevalence of abnormal thyroid hormonal findings in ACS causing significant morbidity and mortality.

Depression in Acute Coronary Syndrome

2003 ◽  
Vol 93 (3_suppl) ◽  
pp. 1105-1108 ◽  
Author(s):  
Damir Kozmar ◽  
Katija Čatipović-Veselica ◽  
Andrea Galić ◽  
Jasna Habek
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Ventricular Fibrillation ◽  
Good Prognosis ◽  
Left Ventricular ◽  
Control Group ◽  
Coronary Syndrome ◽  
Mean Differences ◽  
And Control

This study examined the prevalence of depression based on scores of 200 patients with acute coronary syndrome on the Emotion Profile Index of Plutchik and its relationship with the type of acute coronary syndrome and the severity of ischemic heart disease. Patients with acute coronary syndrome scored higher on depression than the control group. There was no difference in scores on Depression by type of acute coronary syndrome and no significant mean differences on Depression for patients with and without left ventricular failure. Patients with acute myocardial infarction and ventricular fibrillation scored lower on Depression than other patients with acute myocardial infarction and control group. This study supports the view that patients with acute myocardial infarction and ventricular fibrillation and lower scores on Depression have good prognosis during hospitalization and maybe for the long term.

ALGORITHM TO STRATIFY THE RISK OF MYOCARDIAL INFARCTION IN PATIENTS WITH ACUTE CORONARY SYNDROME AT PRIMARY EXAMINATION

2020 ◽  
Vol 65 (6) ◽  
pp. 394-400
Author(s):  
A. S. Pushkin ◽  
D. Shulkin ◽  
L. V. Borisova ◽  
T. A. Akhmedov ◽  
S. A. Rukavishnikova
Keyword(s):  
Machine Learning ◽  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Troponin I ◽  
Final Diagnosis ◽  
Blood Analysis ◽  
Digital Data ◽  
Control Group ◽  
Laboratory Diagnostics ◽  
Coronary Syndrome

The episode of acute coronary syndrome is most often preceded by the development of systemic and local inflammation, which plays a significant role in the pathogenesis of the disease. General clinical blood analysis, directly or indirectly reflecting systemic pathological processes in the patient’s body based on quantitative and morphological assessment of blood composition, is one of the most affordable methods of laboratory diagnostics in modern public health. Taking into account the growing number of digital data obtained by diagnosticians from analytical systems, there is a growing potential for the use of machine learning methods to increase the effectiveness of provided diagnostic information in the interests of the patient. The aim of this study was to create an algorithm for stratifying the risk of myocardial infarction based on the methods of machine learning in patients with acute coronary syndrome at primary examination. A prospective pilot study was conducted. In total 307 patients with acute coronary syndrome (169 men and 138 women) were examined. The average age of patients was 68.6 ± 12.5 years. Retrospectively, the patients were divided into two groups: the main group - patients with the final diagnosis “Myocardial infarction” and the control group with the diagnosis “Unstable angina pectoris”. All patients at hospitalization at the primary laboratory examination along with the study of the concentration of cardiac troponin I by a highly sensitive method were examined by a general clinical blood analysis on an automatic hematological 5-diff analyzer. As a result of the application of the ensemble method as a method of machine learning and artificial neural networks as 6 independent models of the ensemble it was possible to achieve the area under the ROC curve = 0.77 on the test set when assessing the quality of patient stratification. Taking into account the volume of the training sample in 214 patients and the results of similar studies, the achieved stratification quality can be considered acceptable and promising for further accumulation of the database with the purpose of additional training of the developed algorithm and improvement of the disease prognosis accuracy characteristics.

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