Peripheral Blood MicroRNA-21 as a Predictive Biomarker for Heart Failure With Preserved Ejection Fraction in Old Hypertensives.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a major health issue with high morbidity and mortality. The epidemiology and the factors that cause HFpEF have not been fully clarified, while accurate predictive biomarkers are lacking. Our aim was to determine whether levels of microRNA-21 (miR-21) in peripheral blood monocytes, which play a critical role in many pathophysiological pathways of hypertensive heart disease, can predict the occurrence of HFpEF in older hypertensives, as well as the associated mortality and morbidity. METHODS: We enrolled 151 elderly patients >60 years old with essential hypertension but without HF at baseline. miRs expression levels in peripheral blood mononuclear cells had been quantified by real-time reverse transcription polymerase chain reaction. RESULTS: During a median follow-up of 8.2 years, 56 patients (37%) had an event. Levels of miR-21 in peripheral mononuclear blood cells proved to be significantly associated with the occurrence of HFpEF. More specifically, the median HFpEF-free period was 110 months for those with miR-21 >2.1 and 114 months for those with miR-21 <2.1. In addition, multivariate analysis showed that miR-21 (hazard ratio 11.14), followed by hemoglobin (Hg) (hazard ratio 0.56 for Hg >13.6 g/dl, a 45% risk reduction), were independent and the most significant predictors of HFpEF events. CONCLUSIONS: miR-21 levels in peripheral blood monocytes are associated with the development of future HFpEF. Our findings may alter the risk models of HFpEF and support the rationale for further research into the modulation of miRs as biomarkers and treatment targets for HFpEF.

Differences in MicroRNA Expression in Pericoronary Adipose Tissue in Coronary Artery Disease Compared to Severe Valve Dysfunction.

Pericoronary adipose tissue (PCAT) is a source of microRNAs (miRs) that act as messengers for intercellular communication. We investigated whether the PCAT surrounding significant coronary atherosclerotic lesions shows specific miR expression patterns compared with PCAT surrounding plaque-free segments. We included 49 patients with 3-vessel coronary artery disease (CAD) and 19 patients with severe valvular disease but no CAD, who underwent elective cardiac surgery. The PCAT was harvested from two sites: adjacent to a significant atherosclerotic coronary lesion and from plaque-free segments. miR-133a, miR-21, miR-26b, miR-9, and miR-143 levels in PCAT cells were quantified by real-time reverse transcription polymerase chain reaction (data expressed as arbitrary units). Expression of miR-133, miR-21, and miR-26b in adipose tissue at a site without atherosclerotic lesion was much lower in patients with CAD than in those without CAD (0.82 ± 1.37 vs 1.86 ± 0.52, P < .001, 0.45 ± 1.3 vs 1.51 ± 1.11, P < .001, 0.3 ± 1.25 vs 1.2 ± 0.73, P = .02, respectively). In addition, miR-133, miR-21, and miR-143 in CAD patients showed significantly greater expression in PCAT from atherosclerotic lesion compared with plaque-free segments (1.32 ± 0.96 vs 0.82 ± 0.37 (P = .011), 0.91 ± 1.7 vs 0.3 ± 1.25 (P = .012), 1.2 ± 1.59 vs 0.43 ± 0.54 (P < .001), respectively). Our findings open new perspectives for the role of PCAT in the pathophysiology of atherosclerosis and should be further investigated.

Artificial intelligence-based opportunistic screening for the detection of arterial hypertension through ECG signals.

OBJECTIVES: Hypertension is a major risk factor for cardiovascular disease (CVD), which often escapes the diagnosis or should be confirmed by several office visits. The ECG is one of the most widely used diagnostic tools and could be of paramount importance in patients' initial evaluation. METHODS: We used machine learning techniques based on clinical parameters and features derived from the ECG, to detect hypertension in a population without CVD. We enrolled 1091 individuals who were classified as hypertensive or normotensive, and trained a Random Forest model, to detect the existence of hypertension. We then calculated the values for the Shapley additive explanations (SHAP), a sophisticated feature importance analysis, to interpret each feature's role in the Random Forest's results. RESULTS: Our Random Forest model was able to distinguish hypertensive from normotensive patients with accuracy 84.2%, specificity 78.0%, sensitivity 84.0% and area under the receiver-operating curve 0.89, using a decision threshold of 0.6. Age, BMI, BMI-adjusted Cornell criteria (BMI multiplied by RaVL+SV 3 ), R wave amplitude in aVL and BMI-modified Sokolow-Lyon voltage (BMI divided by SV 1 +RV 5 ), were the most important anthropometric and ECG-derived features in terms of the success of our model. CONCLUSION: Our machine learning algorithm is effective in the detection of hypertension in patients using ECG-derived and basic anthropometric criteria. Our findings open new horizon in the detection of many undiagnosed hypertensive individuals who have an increased CVD risk.

Infective endocarditis in patients with liver cirrhosis: a systematic review.

Liver cirrhosis is an increasing cause of mortality and morbidity in developed countries. Infective Endocarditis (IE) is an uncommon disease with notable morbidity and mortality. Even though cirrhosis is associated with immune dysfunction and increased occurrence of bacterial infection, IE is infrequently diagnosed in these patients. Thus, the purpose of this study was to systematically review all published cases of IE in patients with cirrhosis in the literature. A systematic review of PubMed, Scopus and Cochrane (through 23th April 2020) for studies providing epidemiological, clinical, microbiological as well as treatment data and outcomes of IE in patients with cirrhosis was performed. A total of 78 studies, containing data of 602 patients, were included. A prosthetic valve was present in 17.8%, while the most common causative pathogen was S. aureus in 26% followed by Streptococcus spp in 16.8%. Aortic valve was the most commonly infected site, followed by mitral valve. Diagnosis was set with a transthoracic ultrasound in 55.2%, while the diagnosis was set at autopsy in 16.7%. Fever and heart failure were the most common clinical presentations. Aminoglycosides, vancomycin, and cephalosporins were the antimicrobials most frequently used for treatment. Clinical cure was noted in 68.2%, while overall mortality was 41.4%. This systematic review thoroughly describes IE in patients with liver cirrhosis and provides information on epidemiology, clinical presentation, treatment and outcomes.

CT coronary angiography in asymptomatic male patients with high atherosclerosis risk: Is it justified?

PURPOSE: To study the necessity of coronary artery screening with computerized tomography coronary angiography (CTCA) in asymptomatic male patients. MATERIAL AND METHODS: A total of 226 asymptomatic male patients aged over 50 years were included in this prospective study, according to a clinical protocol approved by the Heraklion University Hospital's Ethics Committee. All participants had at least 3 or more known atherosclerosis risk factors. All patients had none or normal noninvasive cardiological tests in the past and had no contraindications for CTCA. All patients gave their informed consent after being notified regarding contrast medium and radiation dose risks. RESULTS: Significant stenoses were found in 52 asymptomatic males (23%). Out of them, 38 male patients underwent invasive coronography and 14 patients were lost in follow-up. In 18 patients, no lesions were found (47.4%). In the other 20 (52.6%) patients, 28 lesions were found. Stent placement was performed in 11 patients, bypass surgery was proposed in 3 patients, and in another 6 patients conservative treatment was suggested. Patients with findings in CTCA were more likely to have a family history of coronary artery disease, compared to patients with normal CTCA (P < 0.05 by using Fischer's Exact Test). Sensitivity of CTCA for significant stenosis was 74.3% with a specificity of 62%. CONCLUSION: CTCA may be used to screen for clinically significant coronary artery disease (CAD) in asymptomatic male patients, particularly those with positive family history or potentially high-risk patients with >3 risk factors for CAD.

Perfusion-CT analysis for assessment of hepatocellular carcinoma lesions: diagnostic value of different perfusion maps.

BACKGROUND: Computed tomography liver perfusion (CTLP) has been improved in recent years, offering a variety of perfusion-parametric maps. A map that better discriminates hepatocellular carcinoma (HCC) is still to be found. PURPOSE: To compare different CTLP maps, regarding their ability to differentiate cirrhotic or non-cirrhotic parenchyma from malignant HCC. MATERIAL AND METHODS: Twenty-six patients (11 cirrhotic) with 50 diagnosed HCC lesions, underwent CTLP on a 128-row dual-energy CT system. Nine different maps were generated. Regions of interest (ROIs) were positioned on non-tumorous parenchyma and on HCCs found on previous magnetic resonance imaging. Perfusion parameters for non-cirrhotic and cirrhotic livers were compared. Receiver operating characteristic (ROC) analysis was employed to evaluate each map's ability to discriminate HCCs from non-tumorous livers. Comparison of ROC curves was performed to evaluate statistical significance of differences in the discriminating efficiency of derived perfusion maps. RESULTS: Perfusion parameters for non-tumorous liver and HCCs recorded in cirrhotic patients did not significantly differ from corresponding values recorded in non-cirrhotic patients ( P > 0.05). The highest power for HCC discrimination was found for the maximum-slope-of-increase (MSI) parametric map, with estimated the area under ROC curve of 0.997. An MSI cut-off criterion of 2.2 HU/s was found to provide 96% sensitivity and 100% specificity. Time to peak, blood flow, and transit time to peak were also found to have high discriminating power. CONCLUSION: Among available CTLP-derived perfusion parameters, MSI was found to provide the highest diagnostic accuracy in discriminating HCCs from non-tumorous parenchyma. Perfusion parameters for non-tumorous livers and HCCs were not found to significantly differ between cirrhotic and non-cirrhotic patients.