The Open Cardiovascular Medicine Journal最新文献

筛选

英文中文

Relationship between Plasma D-Dimer Level and Pulmonary Hypertension as well as Right Ventricle Dysfunction in Patient Post Pneumonia COVID-19 肺炎后患者血浆 D-二聚体水平与肺动脉高压和右心室功能障碍的关系 COVID-19

The Open Cardiovascular Medicine Journal Pub Date : 2023-12-13 DOI: 10.2174/0118741924242787231116063137

Arman Christiawan, S. Herminingsih, U. Bahrudin, Nur Farhanah

{"title":"Relationship between Plasma D-Dimer Level and Pulmonary Hypertension as well as Right Ventricle Dysfunction in Patient Post Pneumonia COVID-19","authors":"Arman Christiawan, S. Herminingsih, U. Bahrudin, Nur Farhanah","doi":"10.2174/0118741924242787231116063137","DOIUrl":"https://doi.org/10.2174/0118741924242787231116063137","url":null,"abstract":"High rate of coagulopathy and pulmonary thromboembolism in coronavirus disease 2019 (COVID-19), which is represented by an increase in plasma D-Dimer levels is believed to be related to pulmonary hypertension (PH) and right ventricle (RV) dysfunction. To evaluate the relationship between plasma D-Dimer levels with PH and RV dysfunction assessed from transthoracic echocardiography (TTE) in patients post COVID-19 pneumonia. Observational research with a cross-sectional design. Estimated mean pulmonary arterial pressure (mPAP) was calculated from Mahan's formula obtained from pulmonary artery acceleration time (PAAT) and RV function was assessed from RV free wall strain (RV FWS), tricuspid annular plane systolic excursion (TAPSE), and fractional area change (FAC). D-Dimer levels during hospitalisation were obtained from medical records and actual D-Dimer was obtained at the time of echocardiography. Total 40 patients post-COVID-19 pneumonia underwent TTE in a median of 11 days after negative PCR. There was a significant correlation between peak D-Dimer levels with mPAP (r=0.526, p<0.001), RV FWS (r=-0.506, p=0.001), TAPSE (r=-0.498, p=0.001), and FAC (r=0.447, p=0.004). Multivariate analysis found peak D-Dimer ≥4530 µg/L independently associated with PH with odds ratio (OR) 6.6, (95% CI 1.1-10; p=0.048), but not with RV dysfunction. Peak D-Dimer level correlates with echocardiographic parameters of RV function and mPAP in patients with COVID-19 infection. Peak D-Dimer ≥4530 µg/L might increase risk of PH, but not RV dysfunction in patient post pneumonia COVID-19.","PeriodicalId":504447,"journal":{"name":"The Open Cardiovascular Medicine Journal","volume":"52 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139181805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Readmission of Cardiovascular Patients Admitted to the CCU using Data Mining Techniques 利用数据挖掘技术预测入住重症监护室的心血管病人的再入院情况

The Open Cardiovascular Medicine Journal Pub Date : 2023-07-14 DOI: 10.2174/18741924-v17-e230627-2022-21

Marzie Salimi, P. Bastani, Mahdi Nasiri, Mehrdad Karajizadeh, R. Ravangard

{"title":"Predicting Readmission of Cardiovascular Patients Admitted to the CCU using Data Mining Techniques","authors":"Marzie Salimi, P. Bastani, Mahdi Nasiri, Mehrdad Karajizadeh, R. Ravangard","doi":"10.2174/18741924-v17-e230627-2022-21","DOIUrl":"https://doi.org/10.2174/18741924-v17-e230627-2022-21","url":null,"abstract":"Cardiovascular (CV) diseases account for a large number of readmissions. Using data mining techniques, we aimed to predict the readmission of CV patients to Coronary Care Units of 4 public hospitals in Shiraz, Iran, within 30 days after discharge. To identify the variables affecting the readmission of CV patients in the present cross-sectional study, a comprehensive review of previous studies and the consensus of specialists and sub-specialists were used. The obtained variables were based on 264 readmitted and non-readmitted patients. Readmission was modeled with predictive algorithms with an accuracy of >70% using the IBM SPSS Modeler 18.0 software. Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology provided a structured approach to planning the project. Overall, 47 influential variables were included. The Support Vector Machine (SVM), Chi-square Automatic Interaction Detection (CHIAD), artificial neural network, C5.0, K-Nearest Neighbour, logistic regression, Classification and Regression (C&R) tree, and Quest algorithms with an accuracy of 98.60%, 89.60%, 89.90%, 88.00%, 85.90%, 79.90%, 78.60%, and 74.40%, respectively, were selected. The SVM algorithm was the best model for predicting readmission. According to this algorithm, the factors affecting readmission were age, arrhythmia, hypertension, chest pain, type of admission, cardiac or non-cardiac comorbidities, ejection fraction, undergoing coronary angiography, fluid and electrolyte disorders, and hospitalization 6-9 months before the current admission. According to the influential variables, it is suggested to educate patients, especially the older ones, about following physician advice and also to teach medical staff about up-to-date options to reduce readmissions.","PeriodicalId":504447,"journal":{"name":"The Open Cardiovascular Medicine Journal","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139359446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0