简介：AbstractBackground:Blood glucose control is closely related to type 2 diabetes mellitus (T2DM) prognosis. This multicenter study aimed to investigate blood glucose control among patients with insulin-treated T2DM in North China and explore the application value of combining an elastic network (EN) with a machine-learning algorithm to predict glycemic control.Methods:Basic information, biochemical indices, and diabetes-related data were collected via questionnaire from 2787 consecutive participants recruited from 27 centers in six cities between January 2016 and December 2017. An EN regression was used to address variable collinearity. Then, three common machine learning algorithms (random forest [RF], support vector machine [SVM], and back propagation artificial neural network [BP-ANN]) were used to simulate and predict blood glucose status. Additionally, a stepwise logistic regression was performed to compare the machine learning models.Results:The well-controlled blood glucose rate was 45.82% in North China. The multivariable analysis found that hypertension history, atherosclerotic cardiovascular disease history, exercise, and total cholesterol were protective factors in glycosylated hemoglobin (HbA1c) control, while central adiposity, family history, T2DM duration, complications, insulin dose, blood pressure, and hypertension were risk factors for elevated HbA1c. Before the dimensional reduction in the EN, the areas under the curve of RF, SVM, and BP were 0.73, 0.61, and 0.70, respectively, while these figures increased to 0.75, 0.72, and 0.72, respectively, after dimensional reduction. Moreover, the EN and machine learning models had higher sensitivity and accuracy than the logistic regression models (the sensitivity and accuracy of logistic were 0.52 and 0.56; RF: 0.79, 0.70; SVM: 0.84, 0.73; BP-ANN: 0.78, 0.73, respectively).Conclusions:More than half of T2DM patients in North China had poor glycemic control and were at a higher risk of developing diabetic complications. The EN and machine learning algorithms are alternative choices, in addition to the traditional logistic model, for building predictive models of blood glucose control in patients with T2DM.

简介：在那些之中的服务和它有在一张农村南方印第安人population.METHODSA人口的单方的视觉缺陷(VI)的联系因素基于代表性的学习的眼睛照顾的利用上的AIMTo报告处于AndhraPradesh的状态在三个区域(Adilabad，Mahbubnagar和西方Godavari)被进行，印度。详细会见和全面眼睛考试被进行。那些关于在视觉并且在眼睛照顾服务的利用上注意任何变化与单方的VI被问问题。参加者为不利用服务报导的最重要的原因被用于分析。多重逻辑回归模型被用来检验在在象4456个参加者变老的VI.RESULTSAmong的住处，严厉和原因的年龄，性，教育和区域那样的视觉和socio人口统计的变量注意一个变化之间的协会16y被管理问询表，53.2%是女人，并且54.7%没有教育。489(11%；95%CI：10.1-11.9)有单方的VI的人，399(81.6%)参加者报导了在最后五年在他们的视觉注意一个变化但是仅仅136(34.1%)参加者寻求了眼睛照顾咨询。有任何教育的那些(或：1.9；95%CI：1.1-3.2)，有的盲目(或：2.7；95%CI：1.4-5.2)，并且奔流(或：2.1；95%CI：1.0-4.3)因为单方的VI的一个原因是相似的更多寻求，看照顾咨询。为不寻求眼睛照顾服务的最通常报导的原因是没有钱因为在30.7%参加者的眼睛检查列在后面由没有一个严重问题(30.0%)农村人口的大比例不过注意了的.CONCLUSIONA在他们的视觉的一个变化没寻求眼睛照顾由于金融并且人相关的原因。眼睛照顾服务供应商需要这些障碍到地址与单方的VI在那些之中提高眼睛照顾服务的举起。

简介：AbstractBackground:Real-time polymerase chain reaction (PCR) is a sensitive and specific method for diagnosing schistosomiasis. However, this method should be performed in a laboratory, usually located distant from the sample collection site. Therefore, it is important to have fast sampling preservation methods, which allow simple transport prior to DNA extraction and amplification. The aim of this study was to verify if blood samples applied to filter paper are suitable for analysis of Schistosoma mansoni DNA by real-time PCR.Methods:A cross-sectional study was conducted among 100 study participants aged 17 to 70 years in a fishing village on the southern shore of Lake Victoria, Tanzania. Serum samples and ethylenediaminetetraacetic acid (EDTA)-anticoagulated whole blood for preparation of dried blood spots (DBS) were collected to test for Schistosoma mansoni infection by real-time PCR. A combined diagnostic reference of positive results of serum-based real-time PCR and the Kato-Katz (KK) method was used for analysis. Sensitivity and negative predictive value (NPV) were calculated. The Wilcoxon signed-rank test was chosen to compare the mean cycle threshold (Ct) values from serum and DBS.Results:According to the reference, 92.5% S. mansoni positive samples were determined. The serum-based real-time PCR performed excellently with 95.4% sensitivity, whereas the DBS-based real-time PCR showed a low sensitivity (45.4%). The Ct-values were significantly higher in DBS (median: 37.3) than in serum samples (median: 27.5, P < 0.001), reflecting a lower parasite-specific DNA load on the filter cards. With increasing egg counts, an increase in sensitivity was observed for all methods. The POC-CCA test and the serum-based real-time PCR showed a sensitivity of 100% for medium and severe infections. The DBS real-time PCR showed a sensitivity of only 85.7% even for severe infections.Conclusions:DBS-based real-time PCR did not provide good results in our study and therefore should not be recommended or must be tested concerning temperature of storage, storage duration, use of different filter papers and extraction methods before it is used in future studies. In contrast, our results showed that the POC-CCA test is a sensitive and precise test for detecting S. mansoni infections.