Exosomes are bilayer membrane vesicles with cargos that contain a variety of surface proteins, markers, lipids, nucleic acids, and noncoding RNAs. Exosomes from different cardiac cells participate in the processes of cell migration, proliferation, apoptosis, hypertrophy, and regeneration, as well as angiogenesis and enhanced cardiac function, which accelerate cardiac repair. In this article, we mainly focused on the exosomes from six main types of cardiac cells, i.e., fibroblasts, cardiomyocytes, endothelial cells, cardiac progenitor cells, adipocytes, and cardiac telocytes. This may be the first article to describe the commonalities and differences in regard to the function and underlying mechanisms of exosomes among six cardiac cell types in cardiovascular disease.

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Aims Facial features were associated with increased risk of coronary artery disease (CAD). We developed and validated a deep learning algorithm for detecting CAD based on facial photos. Methods and results We conducted a multicentre cross-sectional study of patients undergoing coronary angiography or computed tomography angiography at nine Chinese sites to train and validate a deep convolutional neural network for the detection of CAD (at least one ≥50% stenosis) from patient facial photos. Between July 2017 and March 2019, 5796 patients from eight sites were consecutively enrolled and randomly divided into training (90%, n = 5216) and validation (10%, n = 580) groups for algorithm development. Between April 2019 and July 2019, 1013 patients from nine sites were enrolled in test group for algorithm test. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated using radiologist diagnosis as the reference standard. Using an operating cut point with high sensitivity, the CAD detection algorithm had sensitivity of 0.80 and specificity of 0.54 in the test group; the AUC was 0.730 (95% confidence interval, 0.699–0.761). The AUC for the algorithm was higher than that for the Diamond–Forrester model (0.730 vs. 0.623, P < 0.001) and the CAD consortium clinical score (0.730 vs. 0.652, P < 0.001). Conclusion Our results suggested that a deep learning algorithm based on facial photos can assist in CAD detection in this Chinese cohort. This technique may hold promise for pre-test CAD probability assessment in outpatient clinics or CAD screening in community. Further studies to develop a clinical available tool are warranted.

Background We aimed to assess the recurrence risk of sinonasal inverted papillomas (SNIPs), based on a staging system developed according to the originating site of SNIP. Methods A total of 200 patients with SNIP were enrolled, and a staging system was developed based on the originating sites and corresponding recurrence rates of tumor in the patients. In the verification phase, 675 patients with SNIPs were enrolled as above, and the originating sites of the SNIPs were confirmed by an endoscopic sinus surgery. Cluster analysis was performed to determine the stage for each SNIP. Results Overall, 608 patients completed the study. SNIP recurrence rates for stages 1‐4 were 0 (n = 43), 4.0% (n = 420), 13.4% (n = 134), 36.4% (n = 11), respectively (total = 6.4%). Conclusions The origin site‐based classification of SNIP may aid surgeons in selecting appropriate endoscopic surgical approaches to minimize the risk of recurrence.

ObjectivesThe purpose of this study was to investigate whether fractional flow reserve (FFR) should be performed for patients with coronary artery disease (CAD) to guide the percutaneous coronary intervention (PCI) strategy.BackgroundPCI is the most effective method to improve the outcomes of CAD. However, the proper usage of PCI has not been achieved in clinical practice.MethodsA meta-analysis was performed on angiography-guided PCI and FFR-guided PCI strategies. Prospective and retrospective studies were included when research subjects were patients with CAD undergoing PCI. The primary endpoint was the rate of major adverse cardiac events (MACE) or major adverse cardiac and cerebrovascular events (MACCE). Secondary endpoints included death, myocardial infarction (MI), repeat revascularisation and death or MI.ResultsFour prospective and three retrospective studies involving 49 517 patients were included. Absolute risks of MACE/MACCE, death, MI, revascularisation and death or MI for angiography-guided PCI and FFR-guided PCI were 34.8% vs 22.5%, 15.3% vs 7.6%, 8.1% vs 4.2%, 20.4% vs 14.8%, and 21.9% vs 11.8%, respectively. The meta-analysis demonstrated that FFR-guided PCI was associated with lower MACE/MACCE (OR: 1.71, 95% CI 1.31 to 2.23), death (OR: 1.64, 95% CI 1.37 to 1.96), MI (OR: 2.05, 95% CI 1.61 to 2.60), repeat revascularisation (OR: 1.25, 95% CI 1.09 to 1.44), and death or MI (OR: 1.84, 95% CI 1.58 to 2.15) than angiography-guided PCI strategy.ConclusionsThis meta-analysis supports current guidelines advising the FFR-guided PCI strategy for CAD. PCI should only be performed when haemodynamic significance is found.

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Aims The aim of the present study was to establish the safety and efficacy profile of prasugrel and ticagrelor in real-life acute coronary syndrome (ACS) patients with renal dysfunction. Methods and results All consecutive patients from RENAMI (REgistry of New Antiplatelets in patients with Myocardial Infarction) and BLEEMACS (Bleeding complications in a Multicenter registry of patients discharged with diagnosis of Acute Coronary Syndrome) registries were stratified according to estimated glomerular filtration rate (eGFR) lower or greater than 60 mL/min/1.73 m2. Death and myocardial infarction (MI) were the primary efficacy endpoints. Major bleedings (MBs), defined as Bleeding Academic Research Consortium bleeding types 3 to 5, constituted the safety endpoint. A total of 19 255 patients were enrolled. Mean age was 63 ± 12; 14 892 (77.3%) were males. A total of 2490 (12.9%) patients had chronic kidney disease (CKD), defined as eGFR <60 mL/min/1.73 m2. Mean follow-up was 13 ± 5 months. Mortality was significantly higher in CKD patients (9.4% vs. 2.6%, P < 0.0001), as well as the incidence of reinfarction (5.8% vs. 2.9%, P < 0.0001) and MB (5.7% vs. 3%, P < 0.0001). At Cox multivariable analysis, potent P2Y12 inhibitors significantly reduced the mortality rate [hazard ratio (HR) 0.82, 95% confidence interval (CI) 0.54–0.96; P = 0.006] and the risk of reinfarction (HR 0.53, 95% CI 0.30–0.95; P = 0.033) in CKD patients as compared to clopidogrel. The reduction of risk of reinfarction was confirmed in patients with preserved renal function. Potent P2Y12 inhibitors did not increase the risk of MB in CKD patients (HR 1.00, 95% CI 0.59–1.68; P = 0.985). Conclusion In ACS patients with CKD, prasugrel and ticagrelor are associated with lower risk of death and recurrent MI without increasing the risk of MB.