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    find Author "XU Fang" 3 results
    • Analysis of Characteristics and Clinical Outcomes of Multiple Myeloma

      【摘要】 目的 探討多發性骨髓瘤的臨床特征及不同方案的療效。 方法 回顧性分析2006年2月-2010年8月110例多發性骨髓瘤的臨床特征及治療情況,對不同方案的療效進行比較。 結果 110例患者中Ⅲ期73例,40例伴發有基礎疾病;24例接受MP方案,部分緩解10例,無變化1例,疾病進展8例,總有效率41.7%;其余86例接受聯合化學療法的患者完全緩解18例,部分緩解17例,輕微緩解30例,無變化17例,疾病進展4例,總有效率40.7%;兩組總有效率差異無統計學意義(Plt;0.05)。聯合化療中PAD方案的總有效率最高,為62.5%。110例患者的中位生存期32.6個月,3年生存率為34.5%,加入沙利度胺組,總有效率為35.8%,3年生存率36.5%,聯合硼替佐米治療組總有效率為75%。 結論 多發性骨髓瘤患者多為晚期,有基礎疾病,化療后易感染,聯合化療組的有效率較MP方案高,但兩組的總生存率無差異,加用新藥沙利度胺或硼替佐米可以提高有效率。【Abstract】 Objective To analyze the clinical characteristics and clinical outcomes of patients with multiple myeloma treated with different regimens.  Methods We retrospectively analyzed the clinical characteristics and treatments of 110 patients with multiple myeloma treated between February 2006 and August 2010, and compared the clinical outcomes of different treatment regimens. Results Seventy-three out of the 110 patients were at stage Ⅲ, and 40 patients had one or two more fundamental diseases. Twenty-two patients received MP regimen, among whom 10 gained partial alleviation, 1 had no change and 8 were aggravated with a total effective rate of 41.7%. Another 86 cases received combination chemotherapy, and among them, 18 gained complete alleviation, 17 attained partial alleviation, 30 achieved mild alleviation, 17 had no change, and 4 were aggravated with a total effective rate of 40.7%. In terms of the total effective rate, there was no statistical difference between these two groups. PAD-treated group had a highest effective rate of 62.5%. The median survival time for all the patients was 32.6 months; 3-year survival rate was 34.5%. For patients treated with thalidomide, the total effective rate and 3-year survival rate were 35.8% and 36.5% respectively, while for patients treated with bortezomib, the effective rate was 75%. Conclusions Patients with multiple myeloma at a late stage complicated with fundamental diseases can develop infections after chemotherapy. Total effective rate of combination chemotherapy is higher than that of MP treatment, but survival rate of the two treatments have no statistical difference. The effective rate can be increased after the using of novel agents such as thalidomide and bortezomib.

      Release date:2016-09-08 09:26 Export PDF Favorites Scan
    • Integrated analysis of a gene correlation network identifies critical regulation of fibrosis by lncRNAs and TFs in idiopathic pulmonary fibrosis

      ObjectiveTo investigate the key long non-coding RNAs (lncRNAs) and transcription factors (TFs) in idiopathic pulmonary fibrosis (IPF) by Bioinformatics analysis.MethodsBioinformatics analysis of three gene expression profiles from the Gene Expression Omnibus dataset (GSE2052, GSE44723, and GSE24206), including 42 IPF and 21 normal lung tissues, was performed in this study. Subsequently, differentially expressed genes (DEGs) were filtered, and key genes involved in signaling pathways and the DEG-associated protein-protein interaction network (PPI) were further analyzed. The filtered genes expression was determined by real-time quantitative polymerase chain reaction analysis.ResultsA total of 8483 aberrantly expressed genes were screened, and 29 overlapping genes were identified among these three datasets. A significant enrichment analysis of DEG-associated functions and pathways was further performed. A total of 18 modules were obtained from the DEG PPI network, and most of the modules were involved in polyubiquitination, Golgi vesicle transport, endocytosis and so on. The key genes were obtained through hypergeometric testing, and most of the corresponding genes were closely associated with ubiquitin-mediated proteolysis, the spliceosome, and the cell cycle. These differential expressed genes, such as lncMALAT1, E2F1 and YBX1, were detected in the peripheral blood of IPF patients when compared with those normal control subjects.ConclusionlncMALAT1, E2F1 and YBX1 might be possible regulators for the pathogenesis of idiopathic pulmonary fibrosis.

      Release date:2021-01-26 05:01 Export PDF Favorites Scan
    • Operational efficiency of thoracic surgery medical teams under policy-driven initiatives based on DEA-BCC and Malmquist index models

      Objective To evaluate the pathways for improving the operational efficiency of medical teams, thereby providing micro-level empirical evidence for the refined management and high-quality development of public hospitals. MethodsBased on panel data from nine surgical teams in the Department of Thoracic Surgery at Sichuan Cancer Hospital from 2021 to 2024, this study employed the data envelopment analysis (DEA) with the BCC model to assess static efficiency, including technical efficiency (TE), scale efficiency (SE), and overall efficiency (OE). The Malmquist index was used to analyze the dynamic total factor productivity (TFP) and its decomposition into efficiency change (EC) and technology change (TC). Input indicators were the number of physicians and the number of open beds. Output indicators included the proportion of surgical patients, the proportion of grade Ⅳ surgeries, and the average length of stay (reciprocally transformed for positive orientation). Results The mean OE of all medical teams showed a continuous upward trend, while the mean SE exhibited a “V-shaped” pattern, initially decreasing and then increasing. The most significant growth was observed in mean TE, which was the primary driver of the OE improvement. All medical teams achieved positive TFP growth, with TC values greater than 1.000 across all teams, indicating that technological innovation was the core engine of efficiency enhancement. However, EC showed a divergent trend among the teams. Conclusion Public hospital performance appraisal policies effectively guide technological upgrading of medical teams through indicators such as “proportion of discharged patients undergoing surgery” and “proportion of grade Ⅳ surgeries”. However, issues of hospital resource mismatch and SE differentiation persist. It is necessary to establish specialized operation groups for dynamic resource monitoring and construct a “technological upgrading, scale adaptation, and management innovation” triangular balanced system to achieve a sustainable mechanism for maximizing healthcare resource input-output.

      Release date:2025-08-29 01:05 Export PDF Favorites Scan
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