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find Author "YANG Sihao" 3 results
  • Research progress on signal pathways in pathogenesis of acute lung injury and the drug intervention

    Acute lung injury (ALI), in which various factors inside and outside the lung lead to hypoxemic respiratory insufficiency and even the development of acute respiratory distress syndrome, has a high morbidity and mortality rate, and its pathogenesis is characterized by complex signaling pathways and limited therapeutic options. A large number of studies have reported that nuclear factor kappa B (NF-κB), phosphatidylinositol 3-kinase (PI3K)/Akt, mitogen-activated protein kinase (MAPK), AMP-activated protein kinase (AMPK), vascular endothelial growth factors (VEGF) and JAK/signal transducer and activator of transcription (STAT) signaling pathways are all related to the inflammatory response of ALI, and they are involved in regulating the inflammatory response process of ALI individually or cooperatively. Therefore, this article reviews the research progress on the pathogenesis-related signaling pathways and the drug interventions, aiming to provide a reference for early intervention in lung injury, optimizing the donor pool to increase the proportion of donation after cardiac death and providing quality donor protection conditions.

    Release date:2024-08-22 04:25 Export PDF Favorites Scan
  • Risk factors for esophagogastric anastomotic leakage after esophageal cancer surgery: A systematic review and meta-analysis

    ObjectiveTo systematically review risk factors for esophagogastric anastomotic leakage (EGAL) after esophageal cancer surgery for adults to provide theoretical basis for clinical prevention and treatment.MethodsPubMed, Web of Science, The Cochrane Library, WanFang Data, VIP, CNKI and CBM were searched from inception to January 2020 to collect case control studies and cohort studies about risk factors for EGAL after esophageal cancer surgery. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, and then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 33 studies were included, including 19 case-control studies and 14 cohort studies, all of which had a Newcastle-Ottawa Scale (NOS)≥6. There were 26 636 patients, including 20 283 males and 6 353 females, and there were 9 587 patients in China and 17 049 patients abroad. The results of meta-analysis showed that the following factors could increase the risk for EGAL (P≤0.05), including patient factors (18): age, sex, body mass index (BMI), smoking history, smoking index (≥400), alcohol history, digestive tract ulcer, respiratory disease, lower ratio of forced expiratory volume in one second to forced vital capacity (FEV1/FVC), chronic obstructive pulmonary disease (COPD), coronary atherosclerosis, peripheral vascular disease, arrhythmia, diabetes, hypertension, cerebrovascular disease, celiac trunk calcification and descending aortic calcification; preoperative factors (6): abnormal liver function, renal insufficiency, American Society of Anesthesiologists (ASA) grading, neoadjuvant radiotherapy and preoperative albumin<35 g/L, preoperative lower albumin; intraoperative factors (7): retrosternal route, cervical anastomosis, thoracoscopic surgery, operation time≥4.5 h, tubular stomach, upper segment tumor, splenectomy; postoperative factors (5): respiratory failure, postoperative arrhythmia, use of fiberoptic bronchoscopy, pulmonary infection, deep venous thrombosis. Neoadjuvant chemotherapy could reduce the risk for postoperative EGAL (P<0.05). However, age≥60 years, upper gastrointestinal inflammation, diffusing capacity for carbon monoxide (DLCO%), thoracic surgery history, abdominal surgery history, glucocorticoid drugs history, neoadjuvant chemoradiotherapy, anastomotic embedding, end-to-end anastomosis, hand anastomosis, intraoperative blood loss and other factors were not significantly correlated with EGAL.ConclusionCurrent evidence suggests that the risk factors for postoperative EGAL include age, sex, BMI, smoking index, alcohol history, peptic ulcer, FEV1/FVC, COPD, diabetes, ASA grading, neoadjuvant radiotherapy, preoperative albumin<35 g/L, cervical anastomosis, thoracoscopic surgery, operation time≥4.5 h, tubular stomach, upper segment tumor, intraoperative splenectomy, postoperative respiratory failure, postoperative arrhythmia and other risk factors. Neoadjuvant chemotherapy may be the protection factor for EGAL. Due to limited study quality, more high quality studies are needed to verify the conclusion.

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  • Risk factors and prediction model of perioperative esophagogastric anastomotic leakage after esophageal cancer surgery

    ObjectiveTo analyze the risk factors for esophagogastric anastomotic leakage (EGAL) after esophageal cancer surgery, and to establish a risk prediction model for early prevention and treatment.MethodsClinical data of patients undergoing esophagectomy in our hospital from January 2013 to October 2020 were retrospectively analyzed. The independent risk factors for postoperative EGAL were analyzed by univariate and multivariate logistic regression analyses, and a clinical nomogram prediction model was established. According to whether EGAL occurred after operation, the patients were divided into an anastomotic fistula group and a non-anastomotic fistula group.ResultsA total of 303 patiens were enrolled, including 267 males and 36 females with a mean age of 62.30±7.36 years. The incidence rate of postoperative EGAL was 15.2% (46/303). The multivariate logistic regression analysis showed that high blood pressure, chronic bronchitis, peptic ulcer, operation way, the number of lymph node dissected, anastomotic way, the number of intraoperative chest drainage tube, tumor location, no-supplementing albumin in the first three days after operation, postoperative pulmonary infection, postoperative use of bronchoscope were the independent risk factors for EGAL after esophageal cancer surgery (P<0.05). A prognostic nomogram model was established based on these factors with the area under the receiver operating characteristic curve of 0.954 (95%CI 0.924-0.975), indicating a high predictive value.ConclusionThe clinical prediction model based on 11 perioperative risk factors in the study has a good evaluation efficacy and can promote the early detection, diagnosis and treatment of EGAL.

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