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Objective:To investigate the incidence, drug sensitivity and drug resistance characteristies, and theraputic effect of staphylococcal peritoneal dialysis-associated peritonitis (PDAP), aim to provide clinical evidences for standardizing treatment therapy of staphylococcal PDAP. Methods:Clinical data of PDAP patients admitted to the Second Hospital of Jilin University, the First Hospital of Jilin University-the Eastern Division, Jilin Central Hospital and Jilin First Automobile Work General Hospital during January 1, 2013 and December 31, 2019 were retrospectively collected. The results of etiology, drug sensitivity and drug resistance of staphylococcal PDAP patients were collected. According to the pathogenic bacteria, patients were divided into staphylococcus aureus group ( n=48) and coagulase-negative staphylococcus group ( n=232). According to the results of methicillin resistance, patients were divided into drug-resistant group ( n=71) and drug-sensitive group ( n=30). The prognosis of antibiotic therapy in each group were compared. Poisson regression was used to test the changing trend of the incidence of staphylococcal PDAP. The changes of drug sensitivity and drug resistance of staphylococcus were compared between 2013 and 2019 by linear trend χ2 test. Results:A total of 1 085 cases of PDAP occurred in 625 patients were screened, and 280 cases of staphylococcal PDAP were finally included. The incidences of staphylococcal PDAP, staphylococcus aureus PDAP and coagulase-negative staphylococcal PDAP were 0.063 times per patient year, 0.010 times per patient year and 0.053 times per patient year respectively. In addition, the incidence of PDAP caused by staphylococcus, staphylococcus aureus and coagulase-negative staphylococcus decreased year by year (all P<0.05). With the change of years, the sensitivity rate of staphylococcus to rifampicin increased, while the sensitivity rate of staphylococcus to moxifloxacin decreased (both P<0.05). The drug resistance rate of staphylococcus to levofloxacin increased ( P<0.05). The staphylococcus aureus group was more prone to refractory PDAP and catheter removal than that in coagulase-negative staphylococcus group, and the recurrence rate was higher than that in coagulase-negative staphylococcus group (all P<0.05). The proportion of vancomycin used during the whole course of antibiotic therapy in drug-resistant group was higher than that in drug-sensitive group ( P<0.05). Conclusions:The incidence of staphylococcal PDAP decreases year by year, and the drug sensitivity characteristics of staphylococcus also change. The therapeutic outcomes of staphylococcus aureus PDAP are worse than that of coagulase-negative staphylococcus.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the pandemic of coronavirus disease 2019 (COVID-19). Great international efforts have been put into the development of prophylactic vaccines and neutralizing antibodies. However, the knowledge about the B cell immune response induced by the SARS-CoV-2 virus is still limited. Here, we report a comprehensive characterization of the dynamics of immunoglobin heavy chain (IGH) repertoire in COVID-19 patients. By using next-generation sequencing technology, we examined the temporal changes in the landscape of the patients immunological status, and found dramatic changes in the IGH within the patients immune system after the onset of COVID-19 symptoms. Although different patients have distinct immune responses to SARS-CoV-2 infection, by employing clonotype overlap, lineage expansion and clonotype network analyses, we observed a higher clonotype overlap and substantial lineage expansion of B cell clones during 2-3 weeks of illness, which is of great importance to B-cell immune responses. Meanwhile, for preferences of V gene usage during SARS-CoV-2 infection, IGHV3-74 and IGHV4-34 and IGHV4-39 in COVID-19 patients were more abundant than that of healthy controls. Overall, we present an immunological resource for SARS-CoV-2 that could promote both therapeutic development as well as mechanistic research.
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SARS-CoV-2 unprecedentedly threatens the public health at worldwide level. There is an urgent need to develop an effective vaccine within a highly accelerated time. Here, we present the most comprehensive S-protein-based linear B-cell epitope candidate list by combining epitopes predicted by eight widely-used immune-informatics methods with the epitopes curated from literature published between Feb 6, 2020 and July 10, 2020. We find four top prioritized linear B-cell epitopes in the hotspot regions of S protein can specifically bind with serum antibodies from horse, mouse, and monkey inoculated with different SARS-CoV-2 vaccine candidates or a patient recovering from COVID-19. The four linear B-cell epitopes can induce neutralizing antibodies against both pseudo and live SARS-CoV-2 virus in immunized wild-type BALB/c mice. This study suggests that the four linear B-cell epitopes are potentially important candidates for serological assay or vaccine development.
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OBJECTIVE@#To analyze the clinical characteristics and treatment outcomes of the first episode of peritoneal dialysis-associated peritonitis (PDAP) in patients receiving long-term peritoneal dialysis.@*METHODS@#The clinical data of patients with the first episode of PDAP in 4 general hospitals in Jilin Province from 2013 to 2019 were collected retrospectively. According to the duration of dialysis, the patients were divided into long-term (≥36 months) and short-term (< 36 months) dialysis groups for comparison of the clinical data, treatment outcomes and long-term prognostic events.@*RESULTS@#A total of 625 patients with PDAP were enrolled, including 93 on long-term and 532 on short-term dialysis. Compared with those on short-term dialysis, the patients on long-term dialysis had significantly higher hemoglobin levels and lower glomerular filtration rates when the first episode of PDAP occurred (@*CONCLUSIONS@#Compared with those on short-term dialysis, patients on long-term dialysis are prone to gram-negative bacterial infection when the first episode of PDAP occurs with worse treatment outcomes but similar long-term outcomes. Long-term dialysis is an independent risk factor of extubation and treatment failure for the first episode of PDAP, and fungal and mixed bacterial infections are independent risk factors for treatment failure of the first PDAP in patients with long-term dialysis.
Subject(s)
Humans , Kidney Failure, Chronic/therapy , Peritoneal Dialysis/adverse effects , Peritonitis/etiology , Retrospective Studies , Treatment OutcomeABSTRACT
Objective: To observe the value of real-time three-dimensional echocardiography (RT-3DE) for evaluating left ventricular global and regional systolic function in children with left ventricular noncompaction (LVNC). Methods: According to left ventricular ejection fraction (LVEF) detected with conventional echocardiography, 34 children with LVNC were divided into LVEF normal group (group A, LVEF≥50%, n=25) and LVEF reduced group (group B, LVEF0.05), while rEF of apical septal, inferior and lateral segments, as well as med inferoseptal, inferior and inferolateral segments were significantly different between group A and C (all P0.05), while rESV of basal inferolateral and anterolateral segments, med anterior, anteroseptal, inferior, inferolateral and anterolateral segments, apical anterior, septal and lateral segments, as well as rEF in all 17 segments of myocardium in left ventricular were significantly different between group B and C (all P<0.05). Conclusion: RT-3DE can be used to evaluate the regional and global systolic function, which is helpful to early diagnosis, treatment and prognosis of LVNC children.
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Objective To investigatethe value of advanced oxidation protein products (AOPP ) in predicting in-stent restenosis in patients with coronary heart disease and diabetes mellitus undergoing percutaneous coronary intervention(PCI) . Methods A total of 682patients with coronary heart disease and diabetes mellitus undergoing coronary angiography (CAG) and PCI were enrolled in this prospective cohort study .All the subjects were divided into two groups :low level of AOPP group (AOPP ≤50.51μmol/L ,n=350) and high level of AOPP group (AOPP>50.51μmol/L ,n=332) according to the average level of AOPP .Therate of In-stent restenosis (ISR)was evaluated after1-year follow-up . Results The rate of ISR was higher in high level AOPP group than in low level AOPP group (10.24％ vs 5.14％ ,P<0.05) .Logistic regression analysis showed that AOPP>50.51 μmol/L was an independent risk factor for ISR prediction (OR 1.842 ,95％ CI 1.568～1.999 ,P<0.05) . Conclusion AOPP may be a biomarker for predicting ISR in patients with coronary heart disease and diabetes mellitus undergoing PCI .
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Electrooculogram (EOG) artifact contamination is a common critical issue in general electroencephalogram (EEG) studies as well as in brain-computer interface (BCI) research. It is especially challenging when dedicated EOG channels are unavailable or when there are very few EEG channels available for independent component analysis based ocular artifact removal. It is even more challenging to avoid loss of the signal of interest during the artifact correction process, where the signal of interest can be multiple magnitudes weaker than the artifact. To address these issues, we propose a novel discriminative ocular artifact correction approach for feature learning in EEG analysis. Without extra ocular movement measurements, the artifact is extracted from raw EEG data, which is totally automatic and requires no visual inspection of artifacts. Then, artifact correction is optimized jointly with feature extraction by maximizing oscillatory correlations between trials from the same class and minimizing them between trials from different classes. We evaluate this approach on a real-world EEG dataset comprising 68 subjects performing cognitive tasks. The results showed that the approach is capable of not only suppressing the artifact components but also improving the discriminative power of a classifier with statistical significance. We also demonstrate that the proposed method addresses the confounding issues induced by ocular movements in cognitive EEG study.
Subject(s)
Artifacts , Brain/physiology , Cognition/physiology , Electroencephalography/methods , Electrooculography/methods , Pattern Recognition, Automated/methods , Algorithms , Discriminant Analysis , Eye Movements/physiology , Humans , Machine Learning , Reproducibility of Results , Sensitivity and SpecificityABSTRACT
To address the nonstationarity issue in EEG-based brain computer interface (BCI), the computational model trained using the training data needs to adapt to the data from the test sessions. In this paper, we propose a novel adaptation approach based on the divergence framework. Cross-session changes can be taken into consideration by searching the discriminative subspaces for test data on the manifold of orthogonal matrices in a semi-supervised manner. Subsequently, the feature space becomes more consistent across sessions and classifiers performance can be enhanced. Experimental results show that the proposed adaptation method yields improvements in classification performance.
