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find Keyword "恶性血液病" 2 results
  • 优质护理服务对恶性血液病患者焦虑抑郁的影响

    目的 讨论优质护理服务对恶性血液病患者焦虑及抑郁的影响。 方法 2011年10月-2012年1月对58例恶性血液病患者从人文关怀角度施以关心和心理干预,并加大健康教育宣传力度,提供全程化、无缝隙护理。并采用Zung焦虑自评量表(SAS)和抑郁自评量表(SDS)对入、出院时患者焦虑及抑郁情况进行问卷调查。 结果 患者入院时SAS、SDS得分显著高于我国常模值(P<0.01),出院患者焦虑及抑郁得到改善和缓解,与入院相比SAS、SDS得分差异有统计学意义(P<0.01)。 结论 恶性血液病患者存在焦虑抑郁情绪,通过优质护理服务可改善其焦虑抑郁状况。

    Release date:2021-06-23 07:35 Export PDF Favorites Scan
  • Prognostic value of red cell volume distribution width in hematological malignancies: a meta-analysis

    Objective To explore the prognostic value of red cell volume distribution width (RDW) for hematological malignancies. Methods PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang, Chongqing VIP, and SinoMed were searched for related literatures on myelodysplastic syndrome, leukemia and other hematological malignancies and pretreatment RDW from the establishment of databases to April 5, 2022. The main statistical indicators were Hazard ratio (HR) and its 95% confidence interval (CI). Stata 12.0 SE software was used for analysis, and Q test was used to evaluate literature heterogeneity. Subgroup pooled analysis was used to evaluate the prognostic value of RDW. Results A total of 7 articles were included, with a total of 804 patients. A fixed-effect model was selected for meta-analysis, and the results showed that patients with elevated pretreatment RDW had worse overall survival [HR=2.91, 95%CI (2.01, 4.22), I2=0%, P=0.714]. The results of subgroup analysis for different types of diseases showed that in myelodysplastic syndrome group [HR=2.61, 95%CI (1.28, 5.31), I2=22.0%, P=0.258)], chronic myeloid leukemia group [HR= 3.24, 95%CI (1.91, 5.51), I2=0%, P=0.546], and adult T-cell leukemia/lymphoma group [HR=2.64, 95%CI (1.22, 5.70)], the overall survival rate of patients with elevated pretreatment RDW were worse. Sensitivity analysis showed that the study was stable and there was no heterogeneity in the overall study result.Conclusion Elevated pretreatment RDW is associated with overall survival and can be used as an indicator for evaluating the prognosis of hematological malignancies, but large sample studies are still needed to determine the best predictive cutoff for various diseases.

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