Platelet indices and blood cell ratios in acute coronary syndrome and their predictive values

Hassan, Neveen; El-Ddin, Taghreed M Kamal; Kafafy, Tarek A. H. Nagib; Mahran, Esraa H

doi:10.4103/jcmrp.jcmrp_51_19

Cited by 4 publications

(3 citation statements)

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“…11 In 21,26 The study reveals that the mean (±SD) value of total platelet count was lower in cases than controls without any significant statistical difference (p -0.239). Total platelet count was 258±44 X 10 17,22,23,24,25,14,8,18,11 In our study, we found no significant difference (p -0.239) in mean platelet count between two groups. In such the prediction of MI is not possible from platelets count.…”

Section: Resultscontrasting

confidence: 50%

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Association of Platelet Count and Mean Platelet Volume in Acute ST- Elevated Myocardial Infarction

Ahmed,

Uddin,

Popy

et al. 2023

Bangladesh Heart J

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Background: Early prediction and quick diagnosis with simple, quick and easily available tool is essential part of early management of acute coronary syndrome e.g. ST segment elevated myocardial infarction. As platelet has a significant role in thrombus formation and larger sized platelets are more active in thrombotic pathogenicity, as such platelet indices can be the early predictor for acute coronary syndrome. Objective: Aim of this study was to assess the association of platelet count and mean platelet volume (MPV) in acute ST-elevated myocardial infarction. Methodology: This observational study was conducted at the department of Cardiology of National Institute of Cardiovascular Diseases (NICVD), Dhaka, Bangladesh from November 2019 to October 2020. Total 166 subjects were enrolled in this study. Among them 82 subjects (Group I) had acute ST-elevated myocardial infarction on resting ECG were admitted at CCU of NICVD and without any prior history of anti-platelet drugs intake, another 84 subjects (Group II) were enrolled in this study as control group with normal 12 lead resting ECG with normal Troponin-I. Results: No significant age difference observed between two groups (p =0.063). Significantly higher smoking and family history of coronary artery disease observed with ST elevated MI subjects (p:0.002 and <0.001 respectively). Associated risk factors like hypertension, diabetes and dyslipidemia were significantly high (<0.001) in ST-elevated MI patients. No significant difference observed in platelet count between ST elevated MI groups compared with the control (258 X 109/L vs. 267 X109/L). Mean platelet volume (MPV) was found to be higher in group I patients as compared to control (12.20±0.86 vs. 9.26±0.77) and it was significant (p <0.001). Conclusion: In acute ST-elevated myocardial infraction, higher mean platelet volume (MPV) and lower platelet count may be a useful marker. Bangladesh Heart Journal 2023; 38(2): 120-126

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Section: Resultscontrasting

confidence: 50%

“…11, 18 On the other hand, Cameron H A et al and Hassan, N.A.E. et al observed significantly lower platelet count on admission in ST elevated MI subjects than normal control group 27,24. In our study, we found that ST-elevated MI was associated with higher mean platelet volume (MPV) which was significantly higher (p <0.001) in group I than group II.…”

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confidence: 48%

Association of Platelet Count and Mean Platelet Volume in Acute ST- Elevated Myocardial Infarction

Ahmed,

Uddin,

Popy

et al. 2023

Bangladesh Heart J

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“…94 Although statistical and score-based methods are still con-95 sidered [41], [42], the machine learning methods are taking 96 over, showing better performances [43]- [45]. Also for ACS 97 prediction, EHRs play a crucial role [46], as well as the 98 application of novel deep artificial neural networks [47], 99 [48] and the quest for key biomarkers [49]. When dealing 100 with the scenario of an underlying IBD condition, predicting 101 CV events is still an uncharted territory, especially if relying only on EHR, let alone detecting significant biomark-103 ers.…”

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confidence: 99%

Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease

Chicco

Jurman

2021

IEEE Access

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Inflammatory bowel diseases (IBDs) are a group of disorders causing chronic inflammation of small intestine and colon, and include Chron's disease and ulcerative colitis as most common occurrences. Patients suffering from IBD have more chances to experience an arterial event, such as a stroke or an acute coronary syndrome. In this setting, computational data mining methods applied to electronic medical records of patients diagnosed with IBD can provide useful information regarding the possibility for them to develop arterial diseases, in few minutes and at small cost. In this manuscript, we analyzed a dataset of 90 patients diagnosed with IBD, 30 of which having an arterial disease. After detecting the capability of predicting the arterial event and the most important features of the whole dataset, we repeated the analysis only on the subset of 30 patients suffering from both IBD and arterial disease. Our results show that machine learning can precisely predict both the occurrence of an arterial event and its type (stroke or acute coronary syndrome) from medical records, and can provide useful rankings about the most important clinical variables available in the dataset. Our otherwise unobservable findings can have a strong impact in the clinical settings, allowing physicians and medical doctors to make better decisions regarding prognoses and therapies of patients suffering from this disease.

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Platelet indices in acute coronary syndrome patients

Keshtkar Rajabi,

Delpasand,

Nematollahi

et al. 2023

RABMS

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Platelet indices and blood cell ratios in acute coronary syndrome and their predictive values

Cited by 4 publications

References 0 publications

Association of Platelet Count and Mean Platelet Volume in Acute ST- Elevated Myocardial Infarction

Association of Platelet Count and Mean Platelet Volume in Acute ST- Elevated Myocardial Infarction

Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease

Platelet indices in acute coronary syndrome patients

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