Importancia de algunos aspectos técnicos del procedimiento de estimulación percutánea del nervio tibial posterior en pacientes con incontinencia fecal

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P-Values and Power in Orthopedic Research: Myths and Reality

The results of statistical tests in orthopedic studies are typically reported using P-values. If a P-value is smaller than the pre-determined level of significance (eg, < .05), the null hypothesis is rejected in support of the alternative. This automaticity in interpreting statistical results without consideration of the power of the study has been denounced over the years by statisticians, since it can potentially lead to misinterpretation of the study conclusions. In this paper, we review fundamental misconceptions and misinterpretations of P-values and power, along with their connection with confidence intervals, and we provide guidelines to orthopedic researchers for evaluating and reporting study results. We provide real-world orthopedic examples to illustrate the main concepts. Please visit the following https://youtu.be/bdPU4luYmF0 for videos that explain the highlights of the paper in practical terms.     

Sample size re-estimation for clinical trials with longitudinal negative binomial counts including time trends

In some diseases, such as multiple sclerosis, lesion counts obtained from magnetic resonance imaging (MRI) are used as markers of disease progression. This leads to longitudinal, and typically overdispersed, count data outcomes in clinical trials. Models for such data invariably include a number of nuisance parameters, which can be difficult to specify at the planning stage, leading to considerable uncertainty in sample size specification. Consequently, blinded sample size re-estimation procedures are used, allowing for an adjustment of the sample size within an ongoing trial by estimating relevant nuisance parameters at an interim point, without compromising trial integrity. To date, the methods available for re-estimation have required an assumption that the mean count is time-constant within patients. We propose a new modeling approach that maintains the advantages of established procedures but allows for general underlying and treatment-specific time trends in the mean response. A simulation study is conducted to assess the effectiveness of blinded sample size re-estimation methods over fixed designs. Sample sizes attained through blinded sample size re-estimation procedures are shown to maintain the desired study power without inflating the Type I error rate and the procedure is demonstrated on MRI data from a recent study in multiple sclerosis.     

Impact of sampling rate on statistical significance for single subject fMRI connectivity analysis

A typical time series in functional magnetic resonance imaging (fMRI) exhibits autocorrelation, that is, the samples of the time series are dependent. In addition, temporal filtering, one of the crucial steps in preprocessing of functional magnetic resonance images, induces its own autocorrelation. While performing connectivity analysis in fMRI, the impact of the autocorrelation is largely ignored. Recently, autocorrelation has been addressed by variance correction approaches, which are sensitive to the sampling rate. In this article, we aim to investigate the impact of the sampling rate on the variance correction approaches. Toward this end, we first derived a generalized expression for the variance of the sample Pearson correlation coefficient (SPCC) in terms of the sampling rate and the filter cutoff frequency, in addition to the autocorrelation and cross‐covariance functions of the time series. Through simulations, we illustrated the importance of the variance correction for a fixed sampling rate. Using the real resting state fMRI data sets, we demonstrated that the data sets with higher sampling rates were more prone to false positives, in agreement with the existing empirical reports. We further demonstrated with single subject results that for the data sets with higher sampling rates, the variance correction strategy restored the integrity of true connectivity.     

Fecal microbiota transplantation to eradicate vancomycin-resistant enterococci colonization in case of an outbreak

Objective

A rapid and worrying emergence of vancomycin-resistant enterococci (VRE) gut colonization is occurring worldwide and may be responsible for outbreaks, especially in healthcare facilities. While no efficient decolonization strategies are recommended, we assessed fecal microbiota transplantation (FMT) to eradicate VRE colonization.

反复粪便培养金黄色葡萄球菌阳性老年患者口服万古霉素效果评价

目的 通过探讨肠道非急性感染期反复粪便培养金黄色葡萄球菌阳性的老年患者口服万古霉素的效果，为此类患者提供一种潜在的治疗方案。方法 前瞻性分析吉林大学第一医院干部病房2015 年9 月～2018 年12 月收治的186 例肠道非急性感染期反复粪便培养金黄色葡萄球菌阳性的老年患者。根据是否口服万古霉素治疗分为万古组和对照组。收集两组患者的一般临床资料，比较两组患者试验前后万古霉素血药浓度、血常规、降钙素原（PCT）、C 反应蛋白（CRP），试验期间粪便培养结果、体温、抗生素使用情况。结果 试验治疗期间，万古组便培养转阴率高于对照组，差异有统计学意义（P＜0.05）；万古组发热率（29.75%）低于对照组的34.77%，差异有高度统计学意义（P＜0.01）；万古组抗生素使用率（4.49%）低于对照组的19.23%，差异有高度统计学意义（P＜0.01）。试验前两组白细胞、中性粒细胞计数、中性粒细胞比例、PCT、CRP 比较，差异无统计学意义（P＞0.05）；试验后万古组白细胞、中性粒细胞计数、中性粒细胞比例、CRP 低于对照组，差异有高度统计学意义（P＜0.01）。试验后万古组白细胞、中性粒细胞计数、中性粒细胞比例、CRP 低于试验前，差异有高度统计学意义（P＜0.01）。结论 口服万古霉素可能提高肠道非急性感染期反复粪便培养金黄色葡萄球菌阳性的老年患者粪便转阴率，减少发热及抗生素的应用，降低炎症细胞水平，可能是此类患者一种潜在的临床治疗方案。     

存样食物在追查食物中毒源头中的作用

[目的]针对食物中毒事件追查源头的困难局面,探索1种新的食物中毒追查方法。[方法]通过分析各种常见类型食物中毒的潜伏期,结合各种实际情况,探讨存样食物保存的时间和方法。[结果]存样食物至少要保存24h。[结论]这种存样待检方法有其先进性,但仍存在不少问题,需进一步改进。