[Abstract]The number of lung transplantation is gradually increasing worldwide, which brings new challenges to the multi-disciplinary team of lung transplantation. The prognosis of lung transplant recipients is seriously affected by the pathophysiological state of specific lung diseases and perioperative risk factors. It is of great significance for these patients to optimize perioperative management according to these factors. Recently, several expert consensus have been published regarding anesthesia management of lung transplantation. Based on the current evidence and clinical practice of West China Hospital, this review summarizes the key points of anesthesia management for lung transplant recipients to guide anesthesiologists' clinical practice.
Brain-computer interface (BCI) systems based on steady-state visual evoked potential (SSVEP) have become one of the major paradigms in BCI research due to their high signal-to-noise ratio and short training time required by users. Fast and accurate decoding of SSVEP features is a crucial step in SSVEP-BCI research. However, the current researches lack a systematic overview of SSVEP decoding algorithms and analyses of the connections and differences between them, so it is difficult for researchers to choose the optimum algorithm under different situations. To address this problem, this paper focuses on the progress of SSVEP decoding algorithms in recent years and divides them into two categories—trained and non-trained—based on whether training data are needed. This paper also explains the fundamental theories and application scopes of decoding algorithms such as canonical correlation analysis (CCA), task-related component analysis (TRCA) and the extended algorithms, concludes the commonly used strategies for processing decoding algorithms, and discusses the challenges and opportunities in this field in the end.
Objective To survey and analyze the quality assessment of the included studies in the Overviews of reviews (Overviews), so as to provide methodology references for Overviews authors. Methods A computerized search was performed for collecting Overviews in The Cochrane Library (Issue 1, 2010), PubMed, EMBASE, and CBM, and the search time ended by December, 2009. Then the relevant data, such as assessment standard etc, were extracted, and the staple standards were analyzed. Results A total of 43 typical Overviews were included. Thirty-two (74.4%) of them assessed the methodology quality of the included systematic reviews with different standards, including OQAQ (34.9%/15), AMSTAR (9.1%/3), Checklist from DARE (4.6%/2), Assendelft scale (4.6%/2), Effective Public Health Practice Project standards (2.3%/1), self-formulated standards (14.0%/ 6), syntaxic standards (2.3%/1), and other standards (4.6%/2). Ten Overviews (23.6%) assessed the quality of evidence, including eight (18.6%) applied the GRADE system. Only 7 studies (16.3%) assessed the quality of evidence and applied the GRADE system as well. Conclusion The quality assessment in Overviews includes the assessment of both methodological quality and evidence quality. But most Overviews do not assess comprehensively. The methodological quality standards applied in current Overviews are numerous and no standard is acknowledged. Yet, the OQAQ and AMSTAR are applied widely and recommended because they are comprehensive and easy to be conducted. It suggests that Overviews authors should choose appropriate methodological quality assessment standards according to concrete conditions. The GRADE system is much more comprehensive and systematic than other systems, so it is recommended that Overviews authors should apply GRADE to assess the quality of evidence in their studies in order to make the study results more comprehensive and easier for clinical application.
目的 探討抗核抗體（ANA）在IgA腎病中的陽性率及其對臨床的意義。 方法 回顧性分析2007年1月－2009年12月間進行ANA檢測的115例IgA腎病患者及59例非IgA腎病慢性腎炎患者的臨床資料。統計分析ANA陽性與陰性的臨床指標。 結果 IgA腎病患者中有12例（10.4%）存在ANA陽性，與非IgA腎病慢性腎炎中的陽性率比較差異無統計學意義（P＞0.05），ANA陽性的IgA腎病血漿IgG水平較高，病理改變較輕。 結論 IgA腎病ANA陽性的機體免疫有增強，腎功、尿蛋白及病理損害較輕，其對IgA腎病預后的影響仍需進一步研究。
ObjectiveTo systematically review the prognostic value of the triglyceride-glucose (TyG) index in predicting cardiovascular outcomes in patients with acute coronary syndrome (ACS). MethodsThe PubMed, Embase, Cochrane Library, Web of Science, CBM, WanFang Data and CNKI databases were electronically searched to collect cohort studies investigating the association between the TyG index and ACS prognosis from inception to January 25, 2025. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.4 and Stata 18.0 software. ResultsA total of 18 studies involving 30 769 patients were included. The meta-analysis revealed that the TyG index was associated with ACS prognosis. When the TyG index was treated as a categorical variable, higher TyG index was significantly associated with an increased risk of MACE compared to lower TyG index (HR=1.94, 95%CI 1.62 to 2.31, P<0.001). Subgroup analysis indicated that the association between the TyG index and MACE remained independent of gender, age, participant characteristics, hypertension, and diabetes. In patients with ACS but without chronic kidney disease, the TyG index demonstrated a strong correlation with MACE (P=0.006). However, in ACS patients with concurrent chronic kidney disease, the TyG index did not appear to be a suitable predictor of MACE (P=0.22). ConclusionThe TyG index demonstrates a strong correlation with MACE in ACS patients, where a higher TyG index is associated with an increased incidence of MACE, indicating poorer prognosis. The TyG index may serve as a simple surrogate marker for prognostic prediction in ACS patients, independent of sex, age, participant characteristics, hypertension, and diabetes. However, its application is currently limited in ACS patients with comorbid CKD.