Prophylactic intra-aortic balloon pump in patients with left main disease undergoing off-pump coronary artery bypass grafting.

BACKGROUND: Preventive intra-aortic balloon pump (IABP) for high-risk patients with stable hemodynamics is controversial, and its definition of high-risk is still unclear. This study aimed to investigate the effect of prophylactic IABP on the early outcome of left main disease (LMD) patients receiving off-pump coronary artery bypass grafting (OPCABG) with stable hemodynamics. METHODS: From January 2013 to April 2020, 257 consecutive patients who underwent OPCABG through sternotomy were enrolled in this study. All LMD patients (greater than 70%) had stable hemodynamics (BP>100 mmHg without vasoconstrictor substance infusion). Early outcomes of 125 patients with prophylactic IABP (IABP group) and 132 patients without IABP (Control group) were compared in this study. RESULTS: IABP did not show favorable effect on the conversion to CPB (RR 0.63, 95%CI 0.05-7.89, P = 0.7211), perioperative MI (RR 0.69, 95%CI 0.22-2.12, P = 0.5163), mortality (RR 0.65, 95%CI 0.04-10.25, P = 0.7608) or the composite end of the conversion, MI and mortality (RR 0.63, 95%CI 0.23-1.74, P = 0.3747). There was greater incidence of prolonged ventilation in IABP after adjustment (RR2.16, 95%CI 1.12-4.18, P = 0.0221). There was no IABP-related mortality or limb ischemia. CONCLUSION: No significant difference in early outcomes was observed in hemodynamically stable patients with LMD between prophylactic IABP group and control group. Prophylactic IABP may be unnecessary in patients with LMD undergoing OPCABG.

[Optimum body fat percentage cut-off in evaluation of overweight and obesity among adult people].

OBJECTIVE: To discuss the optimum cut-off of body fat percentage among Chinese adult people according to current BMI cut-off, and compare with WHO standard of body fat percentage. METHODS: A cross-sectional survey included plenty of hospitals throughout the country from September to December 2017, a total of 46618 residents' body composition data. BMI and BF% were measured by biological impedance analysis, took BMI established by WGOC as reference standard, and ROC curve analysis was used to determine the optimum BF% cut-off. Comparison between optimum cut-off and WHO standard was made by relevance rate, sensitivity, specificity and kappa index. Partial correlation, curve estimation and regression model were used to discuss the relationship between BMI and BF%. RESULTS: The average BMI and BF% was(24. 07±3. 16) and(21. 57±9. 16)% in males, and(23. 76±3. 38) and(27. 65±9. 94)% in females. The optimum BF% cut-off to evaluate obesity were 27. 4% in males, and 34. 3% in females. Compared with WHO standard, the optimum BF% cut-off above had a lower relevance rate and sensitivity, and a higher specificity and consistency. There was a statistical difference between BMI and BF% method when diagnosing obesity(P<0. 05). The partial correlation index r=0. 637, and curvilinear model was much suitable than linear model. CONCLUSION: Compared with BMI, BF% had poor accuracy and consistency to predict obesity. BMI method may cause more people to escape diagnosis, especially in aging males.

Reconstruction of a lncRNA-Associated ceRNA Network in Endothelial Cells under Circumferential Stress.

BACKGROUND: Numerous studies have highlighted that long noncoding RNA (lncRNA) can indirectly regulate the expression of mRNAs by binding to microRNA (miRNA). LncRNA-associated ceRNA networks play a vital role in the initiation and progression of several pathological mechanisms. However, the lncRNA-miRNA-mRNA ceRNA network in endothelial cells under cyclic stretch is seldom studied. METHODS: The miRNA, mRNA, and lncRNA expression profiles of 6 human umbilical vein endothelial cells (HUVECs) under circumferential stress were obtained by next-generation sequencing (NGS). We identified the differential expression of miRNAs, mRNAs, and lncRNAs using the R software package GDCRNATools. Cytoscape was adopted to construct a lncRNA-miRNA-mRNA ceRNA network. In addition, through GO and KEGG pathway annotations, we analyzed gene functions and their related pathways. We also adopted ELISA and TUNEL to investigate the effect of si-NEAT1 on endothelial inflammation and apoptosis. RESULTS: We recognized a total of 32978 lncRNAs, 1046 miRNAs, and 31958 mRNAs in 6 samples; among them, 155 different expressed lncRNAs, 74 different expressed miRNAs, and 960 different mRNAs were adopted. Based on the established theory, the ceRNA network was composed of 13 lncRNAs, 44 miRNAs, and 115 mRNAs. We constructed and visualized a lncRNA-miRNA-mRNA network, and the top 20 nodes are identified after calculating their degrees. The nodes with most degrees in three kinds of RNAs are hsa-miR-4739, NEAT1, and MAP3K2. Functional analysis showed that different biological processes enriched in biological regulation, response to stimulus and cell communication. Pathway analysis was mainly enriched in longevity regulating, cell cycle, mTOR, and FoxO signaling pathway. Circumferential stress can significantly downregulate NEAT1, and after transducing si-NEAT1 for 24 h, inflammatory cytokine IL-6 and MCP-1 were significantly increased; furthermore, fewer TUNEL-positive cells were found in the si-NEAT1 treated group. CONCLUSIONS: The establishing of a ceRNA network can help further understand the mechanism of vein graft failure. Our data demonstrated that NEAT1 may be a core factor among the mechanical stress factors and that cyclic stress can significantly reduce expression of NEAT1, give rise to inflammation in the early stage of endothelial dysfunction, and promote EC apoptosis, which may play an essential role in vein graft failure.

Outcomes of Coronary Artery Bypass Graft Surgery Versus Percutaneous Coronary Intervention in Patients Aged 18-45 Years with Diabetes Mellitus.

BACKGROUND: Debate on treatment for young patients with coronary artery disease still exists. This study aimed to investigate the intermediate- and long-term outcomes between coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI) in patients aged 18-45 years with diabetes mellitus (DM). METHODS: Between January 2006 and March 2016, a total of 2018 DM patients aged 18-45 years including 517 cases of CABG and 1501 cases of PCI were enrolled in the study. Using propensity score matching (PSM), 406 patients were matched from each group. The intermediate- and long-term data were collected. The primary end point of this study was long-term death. The secondary end points included long-term major adverse cardiovascular and cerebrovascular events (MACCEs), stroke, angina, myocardial infarction (MI), and repeat revascularization. RESULTS: Before PSM, the in-hospital mortality was 1.2% in the CABG group and 0.1% in the PCI group, with statistically significant difference (P < 0.0001). The 10-year follow-up outcomes including long-term survival rate and freedom from MACCEs were better in the CABG group than those in the PCI group (97.3% vs. 94.5%, P = 0.0072; 93.2% vs. 86.3%, P < 0.0001), but CABG group was associated with lower freedom from stoke compared to PCI group (94.2% vs. 97.5%, P = 0.0059). After propensity score-matched analysis, these findings at 10-year follow-up were also confirmed. Freedom from MACCEs was higher in CABG group compared to PCI group, but no significant difference was observed (93.1% vs. 89.2%, P = 0.0720). The freedom from recurrent MI was significantly higher in CABG patients compared with PCI patients (95.6% vs. 92.5%, P = 0.0260). Furthermore, CABG was associated with a higher rate of long-term survival rate than PCI (97.5% vs. 94.6%, P = 0.0403). There was no significant difference in the freedom from stroke between CABG and PCI groups (95.3% vs. 97.3%, P = 0.9385). The hospital cost was greater for CABG (13,936 ± 4480 US dollars vs. 10,926 ± 7376 US dollars, P < 0.0001). CONCLUSIONS: In DM patients aged 18-45 years, the cumulative survival rate, and freedom from MI and repeat revascularization for CABG were superior to those of PCI. However, a better trend to avoid stroke was observed with PCI.