Cost-effectiveness of cardiovascular magnetic resonance imaging compared to common strategies in the diagnosis of coronary artery disease: a systematic review.

Cardiovascular magnetic resonance imaging (CMR) has established exceptional diagnostic utility and prognostic value in coronary artery disease (CAD). An assessment of the current evidence on the cost-effectiveness of CMR in patients referred for the investigation of CAD is essential for developing an economic model to evaluate the cost-effectiveness of CMR in CAD. We conducted a comprehensive search of multiple electronic databases, including PubMed, Scopus, Web of Science core collection, Embase, National Health Service Economic Evaluation Database (NHS EED), and health technology assessment, to identify relevant literature. After removing duplicates and screening the title/abstract, a total of 13 articles were deemed eligible for full-text assessment. We included studies that reported one or more of the following outcomes: incremental cost-effectiveness ratio (ICER), cost per quality-adjusted life year (QALYs), cost per life year gained, sensitivity and specificity rate as the primary outcome, and health utility measures or health-related quality of life as the secondary outcome. The quality of the included studies was assessed using the CHEERS 2022 guidelines. The findings of this study demonstrate that in patients undergoing urgent percutaneous coronary intervention, CMR over a one-year and lifetime horizon leads to higher quality-adjusted life years (QALYs) compared to current strategies in cases of multivessel disease. The systematic review indicates that the CMR-based strategy is more cost-effective when compared to standard methods such as single-photon emission computed tomography (SPECT), coronary computed tomography angiography (CCTA), and coronary angiography (CA) (CMR = $19,273, SPECT = $19,578, CCTA = $19,886, and immediate CA = $20,929). The results also suggest that the CMR strategy can serve as a cost-effective gatekeeping tool for patients at risk of obstructive CAD. A CMR-based strategy for managing patients with suspected CAD is more cost-effective compared to both invasive and non-invasive strategies, particularly in real-world patient populations with a low to intermediate prevalence of the disease.

Feature tracking cardiac magnetic resonance imaging to assess cardiac manifestations of systemic diseases.

Feature-tracking cardiac magnetic resonance (FT-CMR), with the ability to quantify myocardial deformation, has a unique role in the evaluation of subclinical myocardial abnormalities. This review aimed to evaluate the clinical use of cardiac FT-CMR-based myocardial strain in patients with various systemic diseases with cardiac involvement, such as hypertension, diabetes, cancer-therapy-related toxicities, amyloidosis, systemic scleroderma, myopathies, rheumatoid arthritis, thalassemia major, and coronavirus disease 2019 (COVID-19). We concluded that FT-CMR-derived strain can improve the accuracy of risk stratification and predict cardiac outcomes in patients with systemic diseases prior to symptomatic cardiac dysfunction. Furthermore, FT-CMR is particularly useful for patients with diseases or conditions which are associated with subtle myocardial dysfunction that may not be accurately detected with traditional methods. Compared to patients with cardiovascular diseases, patients with systemic diseases are less likely to undergo regular cardiovascular imaging to detect cardiac defects, whereas cardiac involvement in these patients can lead to major adverse outcomes; hence, the importance of cardiac imaging modalities might be underestimated in this group of patients. In this review, we gathered currently available data on the newly introduced role of FT-CMR in the diagnosis and prognosis of various systemic conditions. Further research is needed to define reference values and establish the role of this sensitive imaging modality, as a robust marker in predicting outcomes across a wide spectrum of patients.

Association between Nontraditional Risk Factors and Calculated 10-Year Risk of Atherosclerotic Cardiovascular Disease in a Large General Population: Based on the Pars Cohort Study.

Background: While the traditional risk factors of atherosclerotic cardiovascular disease (ASCVD) have been well-established, the evolving role of nontraditional risk factors is not apparent. This study aimed to evaluate the association between nontraditional risk factors and the calculated 10-year ASCVD risk in a general population. Methods: This cross-sectional study was conducted using the Pars Cohort Study data. All inhabitants of the Valashahr district in southern Iran, aged 40-75 years, were invited (2012-2014). Patients with a history of cardiovascular disease (CVD) were excluded. The demographic and lifestyle data were collected using a validated questionnaire. Multinomial logistic regression analysis was used to evaluate the association between the calculated 10-year ASCVD risk and the nontraditional risk factors of CVD, including marital status, ethnicity, educational level, tobacco and opiate consumption, physical inactivity, and psychiatric disorders. Results: Of 9264 participants (mean age =52.2±9.0 y; 45.8% male), 7152 patients met the inclusion criteria. In total, 20.2%, 7.6%, 36.3%, 56.4%, and 46.2% of the population were cigarette smokers, opiate consumers, tobacco consumers, ethnically Fars, and illiterate, respectively. The prevalence rates of low, borderline, and intermediate-to-high 10-year ASCVD risks were 74.3%, 9.8%, and 16.2%, respectively. In multinomial regression, anxiety (adjusted odds ratio [aOR], 0.58; P<0.001) was significantly associated with a lower ASCVD risk, whereas opiate consumption (aOR, 2.94; P<0.001) and illiteracy (aOR, 2.48; P<0.001) were significantly associated with a higher ASCVD risk. Conclusion: Nontraditional risk factors are associated with the 10-year ASCVD risk and, thus, might be considered besides traditional ones for ASCVD in preventive medicine and health policies.

Evaluation of the Correlation between Coronary Artery Disease and Nonalcoholic Fatty Liver Disease: Is There Any Correlation?

Background: Coronary artery disease (CAD) and nonalcoholic fatty liver disease (NAFLD) are 2 common diseases around the globe. This investigation aimed to evaluate NAFLD prevalence in patients with CAD and the potential association between NAFLD and CAD. Methods: This case-control study was performed between January 2017 and January 2018 at Ziaeian Hospital, Tehran, Iran. All patients aged between 35 and 5 years and referred for myocardial perfusion imaging were selected for the study. Totally, 180 participants were divided into CAD+ and CAD- groups. CAD was defined as stenosis of greater than 50.0% in at least 1 coronary artery. Afterward, all the patients underwent abdominal sonography and laboratory tests for NAFLD evaluation. Patients with a history of liver diseases, alcohol consumption, and drug-induced steatosis were excluded. Results: The study population consisted of 122 women (67.8%) and 58 men (32.2%) at a mean age of 49.31±5.42 years. NAFLD was detected in 115 patients. NAFLD prevalence in the CAD+ group was 78.9%. NAFLD was determined as an independent risk factor for CAD (OR, 3.9). Conclusion: NAFLD prevalence was high in the CAD+ group. The incidence of steatosis is on the rise in the general population. Hence, considering the high prevalence of abdominal obesity, all patients with NAFLD should be evaluated for CAD.

Effects of opium use on one-year major adverse cardiovascular events (MACE) in the patients with ST-segment elevation MI undergoing primary PCI: a propensity score matched - machine learning based study.

BACKGROUND: Considerable number of people still use opium worldwide and many believe in opium's health benefits. However, several studies proved the detrimental effects of opium on the body, especially the cardiovascular system. Herein, we aimed to provide the first evidence regarding the effects of opium use on one-year major adverse cardiovascular events (MACE) in the patients with ST-elevation MI (STEMI) who underwent primary PCI. METHODS: We performed a propensity score matching of 2:1 (controls: opium users) that yielded 518 opium users and 1036 controls. Then, we performed conventional statistical and machine learning analyses on these matched cohorts. Regarding the conventional analysis, we performed multivariate analysis for hazard ratio (HR) of different variables and MACE and plotted Kaplan Meier curves. In the machine learning section, we used two tree-based ensemble algorithms, Survival Random Forest and XGboost for survival analysis. Variable importance (VIMP), tree minimal depth, and variable hunting were used to identify the importance of opium among other variables. RESULTS: Opium users experienced more one-year MACE than their counterparts, although it did not reach statistical significance (Opium: 72/518 (13.9%), Control: 112/1036 (10.8%), HR: 1.27 (95% CI: 0.94-1.71), adjusted p-value = 0.136). Survival random forest algorithm ranked opium use as 13th, 13th, and 12th among 26 variables, in variable importance, minimal depth, and variable hunting, respectively. XGboost revealed opium use as the 12th important variable. Partial dependence plot demonstrated that opium users had more one-year MACE compared to non-opium-users. CONCLUSIONS: Opium had no protective effects on one-year MACE after primary PCI on patients with STEMI. Machine learning and one-year MACE analysis revealed some evidence of its possible detrimental effects, although the evidence was not strong and significant. As we observed no strong evidence on protective or detrimental effects of opium, future STEMI guidelines may provide similar strategies for opium and non-opium users, pending the results of forthcoming studies. Governments should increase the public awareness regarding the evidence for non-beneficial or detrimental effects of opium on various diseases, including the outcomes of primary PCI, to dissuade many users from relying on false beliefs about opium's benefits to continue its consumption.

Platelet Aggregation Inhibition: An Evidence-Based Systematic Review on the Role of Herbs for Primary Prevention Based on Randomized Controlled Trials.

Background: Platelet aggregation is a crucial mechanism in the progression of atherothrombotic events. This systematic review aims to introduce the plants studied in healthy people as the primary prevention to inhibit platelet aggregation. We also discuss possible mechanisms that are involved in the inhibition of platelet aggregation. Methods: A systematic search on the electronic medical databases from 1970 to February 2020 was performed. The selected keywords were: "herb", "plant", "platelet aggregation", "platelet activation", "clinical trial", "randomized" and "controlled". Results: The result of the initial search was a pool of 136 articles. After initial abstract reviewing, there were 55 relevant articles. Finally, 28 eligible records fulfilled our inclusion criteria to enter the qualitative synthesis process. Conclusion: Out of the 10 plants evaluated in the clinical trials, nine had inhibitory effects on platelet aggregation. Most of the reviewed plants, including tomato (Solanum lycopersicum L), garlic (Allium sativum), kiwifruit (Actinidia deliciosa), cacao (Theobroma cacao), grape (Vitis vinifera), ginkgo (Ginkgo biloba), flaxseed (Linum usitatissimum), sea buckthorn berry (Hippophae), and argan (Argania spinose) could be potential sources for the primary prevention of atherothrombotic events at an appropriate dosage. Finally, we do not consider phytoceuticals as a replacement for the guideline-directed medical treatment. Large randomized double-blind clinical trials are required to evaluate the anti-platelet characteristics of these plants for the adjuvant primary prevention of cardiovascular disease.

Comparison of conventional scoring systems to machine learning models for the prediction of major adverse cardiovascular events in patients undergoing coronary computed tomography angiography.

Background: The study aims to compare the prognostic performance of conventional scoring systems to a machine learning (ML) model on coronary computed tomography angiography (CCTA) to discriminate between the patients with and without major adverse cardiovascular events (MACEs) and to find the most important contributing factor of MACE. Materials and methods: From November to December 2019, 500 of 1586 CCTA scans were included and analyzed, then six conventional scores were calculated for each participant, and seven ML models were designed. Our study endpoints were all-cause mortality, non-fatal myocardial infarction, late coronary revascularization, and hospitalization for unstable angina or heart failure. Score performance was assessed by area under the curve (AUC) analysis. Results: Of 500 patients (mean age: 60 ± 10; 53.8% male subjects) referred for CCTA, 416 patients have met inclusion criteria, 46 patients with early (<90 days) cardiac evaluation (due to the inability to clarify the reason for the assessment, deterioration of the symptoms vs. the CCTA result), and 38 patients because of missed follow-up were not enrolled in the final analysis. Forty-six patients (11.0%) developed MACE within 20.5 ± 7.9 months of follow-up. Compared to conventional scores, ML models showed better performance, except only one model which is eXtreme Gradient Boosting had lower performance than conventional scoring systems (AUC:0.824, 95% confidence interval (CI): 0.701-0.947). Between ML models, random forest, ensemble with generalized linear, and ensemble with naive Bayes were shown to have higher prognostic performance (AUC: 0.92, 95% CI: 0.85-0.99, AUC: 0.90, 95% CI: 0.81-0.98, and AUC: 0.89, 95% CI: 0.82-0.97), respectively. Coronary artery calcium score (CACS) had the highest correlation with MACE. Conclusion: Compared to the conventional scoring system, ML models using CCTA scans show improved prognostic prediction for MACE. Anatomical features were more important than clinical characteristics.

Hospitalization, major complications and mortality in acute myocardial infarction patients during the COVID-19 era: A systematic review and meta-analysis.

Since the SARS-CoV-2 pandemic began, numerous studies have reported a concerning drop in the number of acute myocardial infarction (AMI) admissions. In the present systematic review and meta-analysis, we aimed to compare the rate of AMI admissions and major complication during the pandemic, in comparison with pre-pandemic periods. Three major databases (PubMed, Scopus, and Web of Science Core Collection) were searched. Out of 314 articles, 41 were entered into the study. Patients hospitalized for AMI were 35% less in the COVID-19 era compared with pre-pandemic periods, which was statistically significantly (OR = 0.65; 95% CI: 0.56-0.74; I2 = 99%; p < 0.001; 28 studies). Patients hospitalized for STEMI and NSTEMI were 29% and 34% respectively less in the COVID-19 era compared with periods before COVID-19, which was statistically significantly (OR = 0.71; 95% CI: 0.65 -0.78; I2 = 93%; p < 0.001; 22 studies, OR = 0.66; 95% CI: 0.58-0.73; I2 = 95%; p < 0.001; 14 studies). The overall rate of in-hospital mortality in AMI patients increased by 26% in the COVID-19 era, which was not statistically significant (OR = 1.26; 95% CI: 1.0-1.59; I2 = 22%; p < 0.001; six studies). The rate of in-hospital mortality in STEMI and NSTEMI patients increased by 15% and 26% respectively in the COVID-19 era, which was not statistically significant (OR = 1.15; 95% CI: 0.85-1.57; I2 = 48%; p = 0.035; 11 studies, OR = 1.35; 95% CI: 0.64-2.86; I2 = 45%; p = 0.157; 3 articles). These observations highlight the challenges in the adaptation of health-care systems with the impact of the COVID-19 pandemic.

Developing a Risk Prediction Model for Early Atrial Fibrillation Recurrence After Maze Procedure.

BACKGROUND: The efficiency of maze is a safe procedure in AF patients who underwent concomitant mitral valve surgery was more than 60%. The aim of this study was to define predictors of early AF recurrence after concomitant maze procedure with valvular surgery. METHODS: In this retrospective study, 234 patients with AF underwent concomitant valvular replacement and maze procedure. Patients were classified into 2 groups of sinus and atrial fibrillation (AF). Baseline characteristics of patients were then compared between 2 groups. RESULTS: Totally, 234 patients were enrolled, 148 of which maintained sinus rhythm during hospitalization. Left atrial diameter and type of valvular surgery were similar in both groups. Age, number of replaced valves, concomitant coronary artery bypass grafting, and history of preoperative persistent AF and beta-blocker therapy were independent predictors of in-hospital AF recurrence. We used these variables to build a model to anticipate early AF recurrence. CONCLUSIONS: Being older, multivalvular surgery, and persistent preoperative AF were the predictors of higher risk of early recurrent AF, whereas concomitant coronary artery bypass grafting and using beta-blocker had a protective effect. This model based on preoperative and operative characteristics can help us to better evaluate if the patient benefits from maze procedure coincide with valvular surgery.

Predictors of in-hospital mortality in diabetic patients with non-ST-elevation myocardial infarction.

BACKGROUND: There have been little data about the additive effects of coronary risk factors on mortality in diabetic patients presenting with non-ST-segment elevation myocardial infarction (NSTEMI). This study aimed to evaluate the predictors of mortality in diabetic patients presenting with NSTEMI. All patients admitted to Tehran Heart Center (THC) with a confirmed diagnosis of NSTEMI and a history of diabetes mellitus (DM) type 2 between September 2003 and April 2017 were included. Clinical characteristics and paraclinical data such as lipid profiles, creatinine, hemoglobin, and hemoglobin A1C (HbA1C) were evaluated in these patients to predict in-hospital mortality. The approach for model calibration was a logistic regression with the backward elimination method. RESULTS: Of a total of 9158 patients with non-ST-segment elevation myocardial infarction, 3133 had diabetes mellitus type 2 and met our criteria to enter the final analysis. In the multivariable analysis, age, chronic obstructive pulmonary disease, and a severely reduced left ventricular ejection fraction (LVEF) significantly increased the rate of in-hospital mortality, whereas mildly and moderately reduced left ventricular ejection fraction did not increase the rate of mortality. CONCLUSIONS: Age, chronic obstructive pulmonary disease (COPD), and severely reduced LVEF (< 30%) independently increased in-hospital mortality in our diabetic patients with a confirmed diagnosis of NSTEMI. Severely reduced LVEF had the strongest relationship with in-hospital mortality, whereas the mean HbA1C level and the type of DM management exerted no significant effect on in-hospital mortality.

Concomitant active inflammation of myocardium and thyroid, incidental finding in COVID-19 pandemic: A case report.

SARS-CoV-2 could affect every organ either directly or indirectly. We describe a young, healthy man diagnosed with COVID-19 whose inaugural presentation was concurrent myocarditis and incidental thyroiditis in cardiac magnetic resonance imaging within two months post recovery. This case illustrates the ongoing pro-inflammatory process several months' post-COVID-19 recovery.

A potential misdiagnosis in the COVID-19 pandemic era: a case report of superimposed thrombosis or tumor recurrence.

BACKGROUND: The clinical manifestations of coronavirus disease 2019 (COVID-19) overlap with those of other disorders, especially cardiovascular disease. CASE PRESENTATION: We herein describe a 58-year-old woman who presented with syncopal episodes and dyspnea on exertion with a left atrial (LA) mass, scheduled for surgical removal and mitral valve replacement. Nearly 3 months later, the patient developed dyspnea, fever, and a sore throat, resulting in hospital admission with suspected COVID-19. During the diagnostic evaluation, a larger LA mass was detected. The mass seemed to be a COVID-19-induced organized thrombus with prosthetic mitral valve malfunction. Resection was, therefore, planned. An immunohistochemistry study revealed a liposarcoma. CONCLUSIONS: The unusual early recurrence of liposarcomas and the misdiagnosis with COVID-19-induced thrombosis are the hallmark of the present case.

Burden of Hypertensive Heart Disease in Iran during 1990-2017: Findings from the Global Burden of Disease study 2017.

BACKGROUND: Hypertension and its consequent end-organ damage including Hypertensive Heart Disease (HHD) are a major concern that impact health, resulting into impairment and reduced quality of life (QOL). The purpose of this study was to describe the burden of HHD in Iran and comparing it with the World Bank upper middle-income countries (UMICs) in terms of disability-adjusted life years (DALY), mortality and prevalence. METHODS: Using data from the Global Burden of Disease study 2017, we compared the number of DALYs, deaths and prevalence trends for HHD from 1990 to 2017 in all age groups for both sex in Iran, and compared the epidemiology and trends with UMICs and globally. RESULTS: The age-standardized DALY rate for HHD increased by 51.6% for men (95% uncertainty interval [UI] 305.8 to 436.7 per 100,000) and 4.4% for women (95% UI 429.4 to 448.7 per 100,000) in Iran. The age-standardized prevalence of HHD in Iran was almost twice times higher than globally and 1.5-times more than the World Bank UMICs. The age-standardized death rate for HDD increased by 60.1% (95% UI 17.3 to 27.7% per 100,000) for men and by 21.7% (95% UI 25.85 to 31.48 per 100,000) for women from 1990 to 2017. Age-standardized death rate in Iran was 2.4 and 1.9 times higher than globally and UMICs, respectively. CONCLUSIONS: The higher prevalence and death rate in Iran in comparison with UMICs and globally should encourage health care provider to perform intensive screening activities in at risk population to prevent HHD and mitigate its mortality.

Intrapericardial solitary fibrous tumor: A case report and review of literature.

Solitary fibrous tumor (SFT) is a mesenchymal neoplasm mostly originates from pleura, but rarely from other parts of the body including pericardium. We report a case of a 44-year-old woman with dyspnea and intermittent edema in whom a large intrapericardial mass was discovered by echocardiography. Computed tomography (CT) revealed a focal pericardial calcification in right AV grove with pressure on right ventricle and right atrial, with no connection to cardiac chambers. Histopathological findings after complete resection of the mass revealed fibroconnective tissue with heavy calcification and no evidence of inflammation or malignancy. We reviewed the literature on pericardial solitary fibrous tumors up to 2020.

Predicting the outcome in confirmed COVID-19 patients with coronary artery disease: a key role for the first chest computed tomography.

BACKGROUND: Serial chest computed tomography (CT) scans are used to detect coronavirus disease 2019 (COVID-19) pneumonia and monitor the disease course. This study investigates relationship between total severity score by first chest CT and the outcome of coronavirus COVID-19 patients with coronary artery disease (CAD). RESULTS: A total of 48 patients with a history of CAD (mean age=60.83±3.06 years, 75% male) with positive real-time reverse transcription-polymerase chain reaction for COVID-19 were included. Outcome was defined as acute respiratory distress syndrome or death. The unadjusted and adjusted effects of the CT score on the outcome were reported through odds ratio (OR) with 95% confidence interval (CI). Outcome occurred in 17 (35.5%) patients (8 deaths). The CT score was directly and significantly correlated with the outcome in the univariate analysis (OR 1.38, 95% CI 1.12-1.70; P=0.003) and remained significant after adjustment for diabetes, hypertension, body mass index, and serum level of highly sensitive C-reactive protein (OR 1.51, 95% CI 1.11-2.05; P=0.009). Outcome rate was 24.1% in patients with a CT score <2.5, whereas it was 8.3% in patients with a CT score>2.5. CONCLUSIONS: The first chest CT score could be a robust predictor of adverse events in confirmed COVID-19 patients with coronary artery disease.

Relationship between the Severity of Coronary Artery Disease and Cardiovascular Risk Factors in Acute Coronary Syndrome: Based on Tehran Heart Center's Data Registry.

BACKGROUND: Acute coronary syndrome (ACS) is one of the main causes of mortality worldwide. We sought to evaluate the correlation between the severity of coronary artery disease (CAD) and conventional coronary artery risk factors in a large cohort of patients with ACS. METHODS: This study included all patients admitted to the coronary care unit with a diagnosis of ACS between 2003 and 2017. The patients were divided into 2 groups: 1) unstable angina and 2) myocardial infarction. The aims of this study were to evaluate the effects of the risk factors and extension of coronary artery stenosis in patients with ACS according to the Gensini score. RESULTS: Of a total 40 319 patients who presented with ACS, 18 862 patients (mean age =60.4±11.14 y, male: 67.2%) underwent conventional coronary angiography and met our criteria to enter the final analysis. The median of the Gensini score was 50 (25-88) in the study population. The multivariable analysis showed that age, sex, diabetes mellitus, hypertension, dyslipidemia, family history, cigarette smoking, opium consumption, and myocardial infarction increased the risk of positive Gensini scores. All the aforementioned risk factors, except cigarette smoking and opium consumption, increased the severity of stenosis in those with positive Gensini scores. The strongest relationship was seen vis-à-vis myocardial infarction, sex, and diabetes mellitus. CONCLUSION: Our findings suggest that age, sex, diabetes mellitus, dyslipidemia, hypertension, family history, and myocardial infarction have significant effects on the severity of CAD. The obesity paradox in relation to CAD should be taken into consideration and needs further investigation in patients with ACS.