Objective To summarize the experience of single incision thoracoscopic surgery (SITS),and to explore its feasibility and safety for treating thoracic diseases.Methods The clinical data in 186 cases of SITS in our hospital from August 2014 to March 2016 were retrospectively analyzed.Local lesion resection was performed in 171 cases and pulmonary lobectomy in 15 cases.Results The average operation time in local lesion resection was 46(10-75)min and average blood loss amount was 23(5-65)mL;11 cases were converted to double holes during operation and 6 cases converted to three holes;the average postoperative hospitalization stay was 4.7(3-9)d.The average operation time in the cases of pulmonary lobectomy was 152(95-215)min and average blood loss amount was 96(60-195)mL;2 cases converted to double holes during operation and 2 cases converted to three holes during operation;the average postoperative hospitalization stay was 6.7(5-9)d.No perioperative death or severe complications were observed in all cases.Conclusion SITS for treating thoracic diseases is safe,reliable and beautiful with little complications,less trauma and faster recovery.

Objective To evaluate the relation between metabolic syndrome (MetS) and gastric cancer (GC) based on a meta-analysis. Methods The case-control studies about the relation between MetS and GC were retrieved from CNKI, WanFang Data, VIP, CBM, Web of Science, The Cochrane Library and PubMed database. The retrieval time was from inception to June, 2020. Two researchers independently screened the literatures, extracted the data and evaluated the quality of the included studies. The meta-analysis of the included literatures was conducted by the Stata 12.0 software. Results A total of six literatures, involving 43617 participants, were included. The results of meta-analysis showed that there was no statistically significant difference between GC and non-GC groups in the risk of hyperglycemia (OR=1.24, 95%CI: 0.59-2.61), hypertension (OR=1.40, 95%CI: 0.60-3.25) or MetS (OR=0.79, 95%CI: 0.44-1.39), respectively. Conclusion MetS may not be related to the risk of GC.

OBJECTIVETo investigate the new biomarkers of acute kidney injury, as well as to confirm the values of response gene to complement 32 (RGC-32) for early diagnosis of acute kidney injury by comparing the values of serum creatinine (Scr) and cystatin C (CysC) in children who had undergone cardiopulmonary bypass (CPB).

METHODSixty-seven patients who had accepted CPB were recruited from the cardiac surgery intensive care unit, Children's Hospital Affiliated to Shanghai Jiao Tong University from March to June 2013 and assigned to acute kidney injury group (group AKI) or non-acute kidney injury group (group non-AKI), on the basis of the definition by the pediatric RIFLE (pRIFLE) criteria. Also 30 healthy control children were recruited. Serum samples were taken regularly from each patient after CPB at 30 min, 2 h, 4 h, 24 h, 48 h and 72 h for RGC-32. Serum samples were tested by enzyme linked immunosorbent assay (ELISA) which was employed to determine the levels of serum RGC-32. Scr and CysC were analyzed by HITACHI 7180 automatic biochemical analyzer. All the data were analyzed by receiver operator characteristic curve (ROC) and area under curve (AUC).

RESULTThe incidence of AKI was 34% (23/67), including 15 cases with risk stage AKI, 4 cases with injury stage AKI, 3 cases with failure stage AKI, 1 cases with loss stage AKI. Three out of four subjects with Failure stage AKI and the one case with Loss stage all accepted renal replacement therapy. CPB group had a higher level of serum RGC-32 than that of pre-operation after CPB 30 minute [(2.88 ± 0.68) µg/L vs. (1.39 ± 0.31) µg/L, P < 0.05]. At the same time, comparing with the non-AKI group, the levels of serum RGC-32 were higher than that of controls 30 min, 2 h, 4 h, 24 h and 48 h after CPB (t = 2.560, 2.180, 2.818, 2.226, 3.017; P < 0.05). The values for the AUC were determined for RGC-32 as 0.770, 0.707, 0.768, 0.728,0.723 and 0.770 after CPB 30 min, 2 h, 4 h, 24 h, 48 h and 72 h. The values for sensitivity of serum RGC-32 30 min, 2 h and 4 h after CPB was 0.914, 0.824, 0.824 and the values for specificity of serum RGC-32 was 0.619, 0.667, 0.810, respectively. But the values for sensitivity of CysC was 0.625, 0.813, 0.813, and specificity 0.571, 0.619, 0.571, respectively. The values for sensitivity of Scr was 0.625, 0.625, 0.813 and specificity was 0.571, 0.571, 0.524, respectively.

CONCLUSIONThe sensitivity of serum RGC-32 for detecting AKI was much higher than that of Scr and serum CysC in children who had accepted CPB, and that RGC-32 may be a new biomarker for early detection of AKI. However, the conclusion needs to be further elucidated.

Acute Kidney Injury ; blood ; diagnosis ; etiology ; Area Under Curve ; Biomarkers ; blood ; Cardiopulmonary Bypass ; adverse effects ; Case-Control Studies ; Cell Cycle Proteins ; blood ; Creatinine ; blood ; Cystatin C ; blood ; Female ; Heart Defects, Congenital ; surgery ; Humans ; Infant ; Intensive Care Units, Pediatric ; Male ; Muscle Proteins ; blood ; Nerve Tissue Proteins ; blood ; Postoperative Complications ; Predictive Value of Tests ; Prospective Studies ; ROC Curve ; Sensitivity and Specificity

Background: and Purpose We investigated the causal relationships between the gut microbiota (GM), stroke, and potential metabolite mediators using Mendelian randomization (MR). Methods: We leveraged the summary statistics of GM (n=18,340 in the MiBioGen consortium), blood metabolites (n=115,078 in the UK Biobank), and stroke (cases n=60,176 and controls n=1,310,725 in the Global Biobank Meta-Analysis Initiative) from the largest genome-wide association studies to date. We performed bidirectional MR analyses to explore the causal relationships between the GM and stroke, and two mediation analyses, two-step MR and multivariable MR, to discover potential mediating metabolites. Results: Ten taxa were causally associated with stroke, and stroke led to changes in 27 taxa. In the two-step MR, Bifidobacteriales order, Bifidobacteriaceae family, Desulfovibrio genus, apolipoprotein A1 (ApoA1), phospholipids in high-density lipoprotein (HDL_PL), and the ratio of apolipoprotein B to ApoA1 (ApoB/ApoA1) were causally associated with stroke (all P<0.044). The causal associations between Bifidobacteriales order, Bifidobacteriaceae family and stroke were validated using the weighted median method in an independent cohort. The three GM taxa were all positively associated with ApoA1 and HDL_PL, whereas Desulfovibrio genus was negatively associated with ApoB/ApoA1 (all P<0.010). Additionally, the causal associations between the three GM taxa and ApoA1 remained significant after correcting for the false discovery rate (all q-values <0.027). Multivariable MR showed that the associations between Bifidobacteriales order, Bifidobacteriaceae family and stroke were mediated by ApoA1 and HDL_PL, each accounting for 6.5% (P=0.028) and 4.6% (P=0.033); the association between Desulfovibrio genus and stroke was mediated by ApoA1, HDL_PL, and ApoB/ApoA1, with mediated proportions of 7.6% (P=0.019), 4.2% (P=0.035), and 9.1% (P=0.013), respectively. Conclusion The current MR study provides evidence supporting the causal relationships between several specific GM taxa and stroke and potential mediating metabolites.