[Predictive factors of poor prognosis in children with acute kidney injury treated with renal replacement therapy]

Objective: To investigate the predictive factors of poor prognosis in children with acute kidney injury (AKI) treated with renal replacement therapy (RRT). Methods: In this retrospective case-control study, the clinical data were collected from 134 pediatric patients (82 male, 52 female) with AKI treated with RRT in six tertiary hospitals from May 2015 to June 2018. According to the serum creatinine level at discharge, the patients were divided into the favorable outcome group and unfavorable outcome group. The data of sex, age, primary diseases, AKI stage, time from diagnosis of AKI to start of RRT (h) and whether to start RRT within 24 hours, urine volume and complications between the two groups were compared. Continuous variables were compared by t test and Mann-Whitney U test, and percentage or proportions were compared by Chi square test. The predictive factors of adverse prognosis were analyzed by using univariate and unconditional binary logistic regression analysis. Results: The average age of the 134 AKI patients was (6±4) years. There were 114 patients (85.0%) in the favorable outcome group and 20 patients (15.0%) in the unfavorable outcome group. No statistically significant differences were found between the two groups in terms of sex (χ(2)=2.596, P=0.107), age (t=0.718, P=0.474), primary disease (χ(2)=2.076, P=0.722), AKI stage (χ(2)=0.004, P=0.998), time from diagnosis of AKI to start RRT (h) (P=0.745), whether to start RRT within 24 hours (χ(2)=0.016, P=0.899), urine volume (χ(2)=3.118, P=0.374), fluid overload (χ(2)=0.014, P=0.905), multiple organ dysfunction syndrome (MODS) (χ(2)=2.972, P=0.085), acidosis (χ(2)=3.204, P=0.073), hyperkalemia (χ(2)=2.829, P=0.093), the level of blood urea nitrogen (t=1.351, P=0.179) and serum creatinine (P=0.901) at the beginning of RRT. In the unfavorable outcome group, the proportion of patients with mechanical ventilation (45.0% (9/20) vs. 12.3% (14/114), χ(2)=12.811, P<0.01) and the incidence of extra organ injury (≥3) (30.0% (6/20) vs. 10.5% (12/114), χ(2)=6.365, P=0.041) were higher than those in the favorable outcome group. Logistic regression analysis showed that mechanical ventilation (OR=12.540, 95%CI: 3.376-46.577, P<0.01) and hyperkalemia (OR=4.611, 95%CI: 1.265-16.805, P=0.021) were the predictive factors of poor prognosis in patients with AKI treated with RRT. Conclusion: Mechanical ventilation and hyperkalemia may predict a poor prognosis in AKI patients treated with RRT.

Viral etiology of chronic cervicitis and its therapeutic response to a recombinant interferon

Chronic cervicitis was shown to be related to papillomavirus type 16(HPV-16), herpes simplex virus type 2 and cytomegalovirus (CMV) infections as demonstrated by DNA hybridization technique and virus isolation method from samples taken from erosive and normal cervices. After one course of treatment with recombinant interferon alpha 1 (rIFN-alpha 1), 93.8% of cases showed clinical improvement and 60% marked improvement. The HPV-16 and HSV detection rates dropped down significantly after rIFN-alpha 1 treatment as compared with those before treatment. Astragalus membranaceus, a Chinese herbal drug, was shown to be synergic to interferon therapy.

Normalized auto- and cross-covariance functions for neuronal spike train analysis

The normalized auto- and cross-covariance functions of discrete-time stochastic point process, used for quantitatively analyzing neuronal spike trains, were derived from the corresponding functions of general stochastic process using Kronecker delta functions. The auto-correlation and cross-correlation properties can be described as numerical differences on a monotonic scale ranging from -1 -1 to +1. A segmental integration method and a significance test for the normalized cross-covariance function estimate are suggested. Examples from real spike trains are illustrated, and Monte Carlo methods are used for controls and for testing the algorithms and computer programs.