Objective To study the predictive value of red blood cell distribution width in severity stratification of community-acquired pneumonia(CAP). Methods One-hundred and seventeen CAP patients admitted between August 2014 and August 2015 were recruited in the study.According to the severity of CAP evaluated by pneumonia severity index (PSI)and CURB score,the patients were divided into a severe group,a moderate group and a mild group with 39 cases in each group.Meanwhile 39 healthy volunteers were recruited as control.The blood red blood cell distribution width and high sensitive C-reactive protein(hs-CRP)levels were measured in all subjects. Results The PSI score and CURB score were significantly higher in the CAP patients than the control group and increased with the deterioration of the disease.The red blood cell distribution width and hs-CRP level were also significantly higher in the CAP patients than the control group and increased with the deterioration of the disease (P<0.05). Conclusion The red blood cell distribution width is correlated with the severity of CAP and has predictive value in CAP severity stratification.
Objective To prepare a new glycoproteinopticin specific antibody and to explore the distribution of opticin in human eye. Methods Firstly, take the opticin specific antibody to compound a synthetic peptide chain（CLPRLPIGRFT）, and then get the opticin antibody. To verify the availability of antibody through the western blot for human vitreous extract, to test the distribution of opticin in human eye by immunohistochemistry. Results Through the western blot for human vitreous extract, we can see a band with wild range at molecular weight 45times;103~50 times;103. We find that opticin exact in retina, vitreous and non-pigmented epithelium of ciliary body which distributes along the collagen fibrils in vitreous. Conclusion The availability of the antibody was confirmed by western blot. Opticin are mainly in retina, vitreous and nonpigmented epithelium of ciliary body. Opticin distributes along the collagen fibrils which may be related to the stability of vitreous. （Chin J Ocul Fundus Dis，2008，24：286-288）
ObjectiveTo summarize the blood routine indexes and predictive systems that can predict the severity of acute pancreatitis (AP). MethodThe recent domestic and foreign literatures on the predictive value of blood routine indexes for the severity of AP were reviewed.ResultsFrom the current research results at domestic and foreign, independent blood routine indexes such as red blood cell distribution width, average platelet volume, hematocrit (TCT), platelet (PLT) count, platelet distribution width, percentage of immature granulocytes (IG%), and some blood routine calculation indexes such as neutrophil to lymphocyte ratio (NLR), PLT to lymphocyte ratio (PLR), red blood cell distribution width to PLT ratio (RPR), neutrophil-monocyte product, and so on, all had different predictive value for the severity of AP. In addition, multiple prediction modes such as blood routine indexes combined with some serological indexes or other scoring systems could also be used to predict the severity of AP. In general, the predictive value of the NLR, IG%, and HCT on the severity of AP had been unanimously recognized by researchers. However, the conclusions of related studies on the predictive values of PLT, PLR, and RPR on the severity of AP were still controversial. ConclusionsAt present, there are a variety of blood routine indexes can be used to predict severity of AP, but their predictive values are different. Further researches are still needed.
ObjectiveThe purpose of the research is to study the distribution and early warning of electroencephalogram (EEG) in acute mountain sickness (AMS). MethodsA total of 280 healthy young men were recruited from September 2016 to October 2016. The basic data were collected by the centralized flow method, the general situation of the division of the investigators after the training, the Lewis Lake score, the computer self-rating anxiety scale and depression scale, and the collection of EEG. Follow up in three months. Results94 of the patients with AMS, morbidity is 33%, 21 (22.34%) of the patients are moderate to severe, 73 (77.66%) are mild, morbidity is 26.67%. The abnormal detection rate of electrogram was 7.9% (22/280), which were mild EEG, normal EEG abnormal rate was 8.6% (16/186), abnormal detection rate of mild AMS was 4.1% (3/73), and the abnormal detection rate was 14.3% (3/21) in the medium / heavy AMS. The latter was significantly different from the previous (P < 0.05). Three months follow-up of this group of patients with 0 case of high altitude disease. Conclusions The EEG in AMS is mainly a rhythm irregular, unstable, poor amplitude modulation; or two hemisphere volatility difference of more than 50% or slightly increased activity. The result is statistically significant, suggesting that EEG distributions has possible early warning of AMS.
In the present work, Monte Carlo simulations were employed to study the characteristics of the dose distribution of high energy electron beam in the presence of uniform transverse magnetic field. The simulations carried out the transport processes of the 30 MeV electron beam in the homogeneous water phantom with different magnetic field. It was found that the dose distribution of the 30 MeV electron beam had changed significantly because of the magnetic field. The result showed that the range of the electron beam was decreased obviously and it formed a very high dose peak at the end of the range, and the ratio of maximum dose to the dose of the surface was greatly increased. The results of this study demonstrated that we could change the depth dose distribution of electron beam which is analogous to the heavy ion by modulating the energy of the electron and magnetic field. It means that using magnetic fields in conjunction with electron radiation therapy has great application prospect, but it also has brought new challenges for the research of dose algorithm.
ObjectiveTo investigate the prognostic value of platelet volume indices ［mean platelet volume (MPV) and platelet distribution width (PDW)］ in early period for patients with sepsis .MethodsThis retrospective study was conducted in a general ICU at a University Hospital from January 2015 to January 2017. Patients with sepsis were divided into a survival group and a death group according to 28-day prognosis. The demographic and clinical data were recorded and analyzed, including platelet indices, Charlson comorbidity index, Glasgow Coma Scale (GCS) score and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHEⅡ) score. Multivariable COX proportional hazard ratio model was used to evaluate the 28-day mortality risk, and receiver operating characteristic (ROC) curve were used to evaluate the value of platelet volume indices.ResultsA total of 209 patients were enrolled in this study. Mean arterial pressure, pH, platelet count, serum creatinine, bilirubin, troponin I, prothrombin time, GCS score and platelet volume indices showed significant differences between the survival group (n=137) and the death group (n=72) (all P<0.05). Multivariable COX regression analysis revealed that the PDW was independently associated with 28-day mortality in sepsis (HR=1.068, 95%CI 1.002-1.139, P=0.043). The area under the ROC curve of PDW was 0.762 (95%CI 0.694 - 0.831), with a sensitivity of 86% and a specificity of 63% at a cut-off value of 18.65%.ConclusionPDW can be used as a powerful prognostic indicator in patients with sepsis following 28-day.
Objective To investigate the detection of multidrug-resistant organisms (MDRO) by targeted monitoring in a tertiary hospital, and to understand the distribution of MDRO. Methods We retrospectively analyzed the detection and distribution of methicillin-resistantStaphylococcus aureus (MRSA), carbon black alkeneAcinetobacter baumannii (CRABA), carbapenem-resistantPseudomonas aeruginosa (CRPAE), vancomycin-resistantEnterococci (VRE) and carbapenem-resistantEnterobacter (CRE) in clinical samples collected from 2013 to 2015. Results A total of 990 multidrug-resistant bacteria strains were isolated from 2013 to 2015, of which 445 were MRSA (44.95%), 328 were CRABA (33.13%), 99 were CRPAE (10.00%), 12 were VRE (1.21%), and 106 were CRE (10.71%). They were mainly distributed in the Department of Burn, Comprehensive ICU, Department of Neurosurgery, Department of Respiratory Medicine and Department of Orthopedic Surgery. The detection rates of multidrug-resistant organisms of 2013-2015 were 10.85% (352/3 244), 9.20% (304/3 303), and 7.11% (334/4 699) respectively, which reduced year by year with significant difference (χ2= 34.42,P< 0.001). The detection rates of CRPAE, CRE and VRE all reduced with significant differences (P< 0.05). Conclusions The detection rate of multidrug-resistant organisms under targeted monitoring shows an obvious downward trend. MRSA and CRABA are still the major MDROs, which show no obvious change. The detection rates of CRPAE, VRE and CRE show obvious downward trend. Department of Burn, Comprehensive ICU, Department of Neurosurgery, Department of Respiratory Medicine and Department of Orthopedic Surgery have the highest risks of MDRO. In the future, we should strengthen the monitoring of high-risk departments, and focus on the reasonable choice of special antimicrobial agents to avoid special MDROs.
The traditional method of multi-parameter flow data clustering in flow cytometry is to mainly use professional software to manually set the door and circle out the target cells for analysis. The analysis process is complex and professional. Based on this, a clustering algorithm, which is based on t-distributed stochastic neighbor embedding (t-SNE) algorithm for multi-parameter stream data, is proposed in the paper. In this algorithm, the Euclidean distance of sample data in high dimensional space is transformed into conditional probability to represent similarity, and the data is reduced to low dimensional space. In this paper, the stained human peripheral blood cells were treated by flow cytometry, and the processed data were derived as experimental sample data. Thet-SNE algorithm is compared with the kernel principal component analysis (KPCA) dimensionality reduction algorithm, and the main component data obtained by the dimensionality reduction are classified using K-means algorithm. The results show that thet-SNE algorithm has a good clustering effect on the cell population with asymmetric and trailing distribution, and the clustering accuracy can reach 92.55%, which may be helpful for automatic analysis of multi-color multi-parameter flow data.
ObjectiveTo analyze the distribution, prognostic differences, and characteristics of patients with colorectal cancer (CRC) from 2007 to 2022 based on the current version of the Database from Colorectal Cancer (DACCA), so as to provide a basis for clinical decision-making. MethodsThe eligible CRC patients based on the established screening criteria from the updated DACCA were collected. The distribution and survival status of CRC patients in different residence places were analyzed. The residence places included 21 cities (prefectures) within Sichuan Province. ResultsA total of 5 416 cases that met the screening criteria from 2007 to 2022 were collected. Among these, CRC patients were predominantly concentrated in Chengdu (44.77%), Meishan (5.78%), and Nanchong (4.56%) cities. A heatmap depicting the superimposed trend of CRC patients origins revealed the distribution of patients was basically divided into eastern and western regions along the axis of “Mianyang–Chengdu–Yaan cities”. The majority of patients (5 359 cases, 98.95%) was distributed in the eastern region, while a few in the western region (57 cases, 1.05%). The patients in the eastern region were more high clustered (especially Chengdu city), while those in the western region was sporadically dispersed, and the patients in the western region increased slowly without aggregation. The 1, 3, and 5-year cumulative overall survival rates of the CRC patients in the DACCA were 96.2%, 89.7%, and 85.1%, respectively. The multivariate Cox proportional hazards regression model showed that the male, age ≥35-year old, adenocarcinoma (mucinous adenocarcinoma as a reference), poorly differentiated degree, pTNM stages Ⅲ and Ⅳ, obstruction, and perforation were the risk factors for median overall survival shortening in the CRC patients (all P<0.05). The survival curve of patients with CRC drawn by Kaplan-Meier method showed that the overall survival of CRC patients in different cities (prefectures) had no statistical differences as compared with the integral CRC patients (P>0.05), except for Neijiang city (was worse than that of the integral CRC patients, P<0.05). ConclusionsBased on data analysis for the DACCA from 2007 to 2022, the majority of CRC patients clusters in the eastern region. Chengdu city exhibits a high clustering, while the western region shows a sporadic distribution without aggregation phenomena. It is found that the cumulative overall survival of CRC patients in Neijiang city is worse than that of the integral CRC patients, while which in the other cities (prefectures) was relatively close to that of the integral CRC patients in Sichuan Province.