HR, Hazard Risk

HR,危险风险
  • 文章类型: Journal Article
    未经批准:维生素D影响免疫系统和炎症反应。已知补充维生素D可降低急性呼吸道感染的风险。在过去的两年里,许多研究人员研究了维生素D在COVID-19疾病病理生理中的作用。
    UNASSIGNED:从临床试验和系统评价中获得的发现强调,大多数COVID-19患者的维生素D水平降低,维生素D水平低增加了严重疾病的风险。这一证据似乎也在儿科人群中得到证实。
    UNASSIGNED:需要对儿童进行进一步的研究(系统评价和荟萃分析),以确认维生素D会影响COVID-19的结局,并确定补充剂的有效性和适当的剂量,持续时间和给药方式。
    UNASSIGNED: vitamin D influences the immune system and the inflammatory response. It is known that vitamin D supplementation reduces the risk of acute respiratory tract infection. In the last two years, many researchers have investigated vitamin D\'s role in the pathophysiology of COVID-19 disease.
    UNASSIGNED: the findings obtained from clinical trials and systematic reviews highlight that most patients with COVID-19 have decreased vitamin D levels and low levels of vitamin D increase the risk of severe disease. This evidence seems to be also confirmed in the pediatric population.
    UNASSIGNED: further studies (systematic review and meta-analysis) conducted on children are needed to confirm that vitamin D affects COVID-19 outcomes and to determine the effectiveness of supplementation and the appropriate dose, duration and mode of administration.
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  • 文章类型: Journal Article
    已经提出炎症标志物来预测许多类型癌症的临床结果。目的探讨淋巴细胞与单核细胞比值(LMR)对骨肉瘤患者临床预后的影响。这项研究收集了2006-2010年期间接受骨肉瘤手术治疗的327例患者。根据术前外周血细胞计数计算LMR。基于接收器工作特性曲线分析确定了LMR的最佳截止值。使用Kaplan-Meier方法绘制总生存期(OS)和无事件生存期(EFS),并通过对数秩检验进行评估。建立了预测OS临床预后的预测模型,模型的预测精度由一致性指数(c指数)确定。我们的结果显示,年轻时,碱性磷酸酶升高,诊断时转移,化疗,淋巴细胞和单核细胞计数与LMR显著相关。低LMR与较短的OS和EFS相关(P<0.001),并且是OS和EFS的独立预测因子(HR=1.72,95%CI=1.14-2.60,P=0.010;HR=1.89,95%CI=1.32-2.57,P=0.009)。列线图在预测骨肉瘤患者的总体生存率方面表现良好(c指数0.630)。总之,术前LMR低与骨肉瘤患者预后不良相关.有必要进行前瞻性研究以进一步验证我们的结果。
    Inflammatory markers have been proposed to predict clinical outcomes in many types of cancers. The purpose of this study was to explore the influence of the lymphocyte-to-monocyte ratio (LMR) on clinical prognosis of patients with osteosarcoma. This study collected 327 patients who underwent surgical treatment for osteosarcoma during the period 2006-2010. LMR was calculated from pre-operative peripheral blood cells counts. The optimal cut-off value of LMR was determined based on receiver operating characteristic curve analysis. Overall survival (OS) and event free survival (EFS) was plotted using the Kaplan-Meier method and evaluated by the log-rank test. A predictive model was established to predict clinical prognosis for OS, and the predictive accuracy of this model was determined by concordance index (c-index). Our results showed that young age, elevated alkaline phosphatase, metastasis at diagnosis, chemotherapy, lymphocyte and monocyte counts were significantly associated with LMR. Low LMR was associated with shorter OS and EFS (P < 0.001), and was an independent predictor of both OS and EFS (HR = 1.72, 95% CI = 1.14-2.60, P = 0.010; HR = 1.89, 95% CI = 1.32-2.57, P = 0.009). The nomogram performed well in the prediction of overall survival in patients with osteosarcoma (c-index 0.630). In conclusion, low pre-operative LMR is associated with a poor prognosis in patients suffering from osteosarcoma. A prospective study is warranted for further validation of our results.
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