Two-step

两步
  • 文章类型: Journal Article
    未经评估:需要准确的预后评分来预测COVID-19感染成人的死亡率,以了解谁将从住院和更密集的支持和护理中受益最大。我们的目标是开发和验证用于患者分诊的两步评分系统,并使用易于收集的个人信息来识别死亡率风险相对较低的患者。
    UNASSIGNED:多中心回顾性观察性队列研究。
    UNASSIGNED:弗吉尼亚联邦大学的四个健康中心,乔治敦大学,佛罗里达大学,和加州大学,洛杉矶.
    未经批准:2019年冠状病毒病确诊和住院的成年患者。
    UNASSIGNED:我们纳入了来自弗吉尼亚联邦大学(VCU)的1,673名参与者作为推导队列。在重复缺失数据填补后,使用多变量逻辑模型和变量选择程序确定住院死亡的危险因素。开发了两步风险评分,以识别较低的患者,中度,和更高的死亡风险。第一步选择增加年龄,不止一种预先存在的合并症,心率>100次/分钟,呼吸频率≥30次呼吸/分钟,和SpO2<93%进入预测模型。除了年龄和SpO2,第二步使用血尿素氮,中性粒细胞绝对计数,C反应蛋白,血小板计数,和中性粒细胞与淋巴细胞比率作为预测因子。C-statisticsreflectedverygooddistinctionwithinternalvalidationatVCU(0.83,95%CI0.79-0.88)andexternalvalidationattheotherthreehealthsystems(range,0.79-0.85)。还推导了一步模型进行比较。总的来说,两步风险评分的表现优于一步风险评分.
    UNASSIGNED:广泛使用的两步评分系统,COVID-19患者分诊的护理点数据,在实践中是一种潜在的节省时间和成本的工具。
    UNASSIGNED: An accurate prognostic score to predict mortality for adults with COVID-19 infection is needed to understand who would benefit most from hospitalizations and more intensive support and care. We aimed to develop and validate a two-step score system for patient triage, and to identify patients at a relatively low level of mortality risk using easy-to-collect individual information.
    UNASSIGNED: Multicenter retrospective observational cohort study.
    UNASSIGNED: Four health centers from Virginia Commonwealth University, Georgetown University, the University of Florida, and the University of California, Los Angeles.
    UNASSIGNED: Coronavirus Disease 2019-confirmed and hospitalized adult patients.
    UNASSIGNED: We included 1,673 participants from Virginia Commonwealth University (VCU) as the derivation cohort. Risk factors for in-hospital death were identified using a multivariable logistic model with variable selection procedures after repeated missing data imputation. A two-step risk score was developed to identify patients at lower, moderate, and higher mortality risk. The first step selected increasing age, more than one pre-existing comorbidities, heart rate >100 beats/min, respiratory rate ≥30 breaths/min, and SpO2 <93% into the predictive model. Besides age and SpO2, the second step used blood urea nitrogen, absolute neutrophil count, C-reactive protein, platelet count, and neutrophil-to-lymphocyte ratio as predictors. C-statistics reflected very good discrimination with internal validation at VCU (0.83, 95% CI 0.79-0.88) and external validation at the other three health systems (range, 0.79-0.85). A one-step model was also derived for comparison. Overall, the two-step risk score had better performance than the one-step score.
    UNASSIGNED: The two-step scoring system used widely available, point-of-care data for triage of COVID-19 patients and is a potentially time- and cost-saving tool in practice.
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  • 文章类型: Comparative Study
    背景:个体患者数据(IPD)荟萃分析允许探索异质性,并可以识别从干预(或暴露)中受益最大的亚组,比汇总数据的荟萃分析更成功。一阶段或两阶段IPD荟萃分析是可能的,前者使用混合效应回归模型,后者通过更简单的回归模型获得研究估计,然后使用标准荟萃分析方法进行汇总。然而,两种方法的综合比较,在实践中,缺乏。
    方法:我们为许多模拟场景中的每一个生成了1000个数据集,涵盖了不同的IPD大小和不同水平(截距和暴露)的不同研究间方差(异质性)假设。还使用了许多不同假设的模拟设置,而我们评估了主要效应和交互效应的表现。性能是根据平均偏差进行评估的,平均误差,覆盖范围,和权力。
    结果:完全指定的单阶段模型(随机研究截距或固定研究特定截距;随机暴露效应;和协变量的固定研究特定效应)是总体上表现最好的,尤其是在调查互动时。对于主要影响,各个模型的性能几乎相同,除非存在截距异质性,在这种情况下,完全指定的一阶段和两阶段模型表现更好。对于相互作用的影响,在两阶段模型始终优于两个完全指定的一阶段模型的情况下,模型之间的差异更大。
    结论:应首选完全指定的单阶段模型(考虑潜在的暴露,拦截,and,可能,相互作用异质性),尤其是在调查互动时。如果遇到随机研究截距不收敛,应使用固定的特定研究截距一阶段模型。
    BACKGROUND: Individual patient data (IPD) meta-analysis allows for the exploration of heterogeneity and can identify subgroups that most benefit from an intervention (or exposure), much more successfully than meta-analysis of aggregate data. One-stage or two-stage IPD meta-analysis is possible, with the former using mixed-effects regression models and the latter obtaining study estimates through simpler regression models before aggregating using standard meta-analysis methodology. However, a comprehensive comparison of the two methods, in practice, is lacking.
    METHODS: We generated 1000 datasets for each of many simulation scenarios covering different IPD sizes and different between-study variance (heterogeneity) assumptions at various levels (intercept and exposure). Numerous simulation settings of different assumptions were also used, while we evaluated performance both on main effects and interaction effects. Performance was assessed on mean bias, mean error, coverage, and power.
    RESULTS: Fully specified one-stage models (random study intercept or fixed study-specific intercept; random exposure effect; and fixed study-specific effects for covariate) were the best performers overall, especially when investigating interactions. For main effects, performance was almost identical across models unless intercept heterogeneity was present, in which case the fully specified one-stage and the two-stage models performed better. For interaction effects, differences across models were greater with the two-stage model consistently outperformed by the two fully specified one-stage models.
    CONCLUSIONS: A fully specified one-stage model should be preferred (accounting for potential exposure, intercept, and, possibly, interaction heterogeneity), especially when investigating interactions. If non-convergence is encountered with a random study intercept, the fixed study-specific intercept one-stage model should be used instead.
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  • 文章类型: Journal Article
    OBJECTIVE: To evaluate the efficacy and safety of single-step endoscopic placement of self-expandable metallic stents (SEMS) for treatment of obstructive jaundice.
    METHODS: A retrospective study was performed among 90 patients who underwent transpapillary biliary metallic stent placement for malignant biliary obstruction (MBO) between April 2005 and October 2012. The diagnosis of primary disease and MBO was based on abdominal ultrasound, computed tomography, magnetic resonance imaging, endoscopic ultrasound, endoscopic retrograde cholangiopancreatography with brush cytology, biopsy, and/or a combination of these modalities. The type of SEMS (covered or non-covered, 8 mm or 10 mm in diameter) was determined by the endoscopist. Ninety patients were divided into two groups: group 1 (49 patients) who underwent a single-step SEMS placement and group 2 (41 patients) who underwent a two-step SEMS placement. The technical success rate, complication rate, stent patency, and patient survival rate were compared between the groups. In addition, to identify the clinical prognostic factors associated with patient survival, the following variables were evaluated in Cox-regression analysis: gender, age, etiology of MBO (pancreatic cancer or non-pancreatic cancer), clinical stage (IVb; with distant metastases or IVa >; without distant metastases), chemotherapy (with or without), patency of the stent, and the use of single-step or two-step SEMS.
    RESULTS: Immediate technical success was achieved in 93.9% (46/49) in group 1 and in 95.1% (39/41) in group 2, with no significant difference (P = 1.0). Similarly, there was no difference in the complication rates between the groups (group 1, 4.1% and group 2, 4.9%; P = 0.62). Stent failure was observed in 10 cases in group 1 (20.4%) and in 16 cases in group 2 (39.0%). The patency of stent and patient survival revealed no difference between the two groups with Kaplan-Meier analysis, with a mean patency of 111 ± 17 d in group 1 and 137 ± 19 d in group 2 (P = 0.91), and a mean survival of 178 ± 35 d in group 1 and 222 ± 23 d in group 2 (P = 0.57). On the contrary, the number of days of hospitalization associated with first-time SEMS placement in group 1 was shorter when compared with that number in group 2 (28 vs 39 d; P < 0.05). Multivariate analysis revealed that a clinical stage of IVa > (P = 0.0055), chemotherapy (P = 0.0048), and no patency of the stent (P = 0.011) were independent prognostic factors associated with patient survival.
    CONCLUSIONS: Our results showed that single-step endoscopic metal stent placement was safe and effective for treating obstructive jaundice secondary to various inoperable malignancies.
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