ObjectiveTo retrospectively analyze antibiotic resistance and clinical characteristics of Klebsiella pneumoniae strains for guiding the rational use of antibiotics in the area of the Bai nationality.MethodsThe antibiotic resistance and clinical characteristics of Klebsiella pneumoniae strains were retrospective analyzed, which were isolated from specimens of inpatients in First People’s Hospital of Dali between May 2016 and May 2017.ResultsAmong the 1 342 samples of various kinds of samples, 262 strains of Klebsiella pneumoniae were isolated, with the detection rate of 19.52% (262/1342). Clinical isolated strains were mainly from the new pediatric, intensive care unit, respiratory medicine, pediatrics, and mostly from sputum specimens (78.24%, 205/262). By screening of 22 kinds of antimicrobial agents, all strains had ampicillin resistance (100.00%), while none of these strains had ertapenem resistance. Extended-spectrum β-lactamases (ESBLs) positive strains’ resistance rate was higher than ESBLs negative strains (χ2=261.992, P<0.01). There were 76 drug resistant profiles, most of which were multidrug-resistant bacteria except 116 (44.27%) strains were resistant to ampicillin antibiotics only. And the number of strains in other resistant types ranged from 1 to 16. Only one of 262 strains had amikacin resistance, two of them were resistant to imipenem and meroenan.ConclusionsThere are many multidrug-resistant bacteria in Klebsiella pneumoniae in the population of Bai nationality, and there are no extensively drug resistant bacteria and pandrug-resistant bacteria strains. The strains of carbapene-resistant antibiotics should be worthy of clinical attention.
Objective To investigate the correlation of red blood cell distribution width (RDW) and neutrophil to lymphocyte ratio (NLR) with total imaging load of cerebral small vessel disease (CSVD), and the clinical diagnostic value of RDW, NLR and their combined indicators for high load of CSVD imaging. Methods The medical records of CSVD patients hospitalized in the Department of Neurology of Baotou Central Hospital between October 2018 and October 2022 were retrospective collected. The total imaging load of CSVD was obtained by evaluating the cranial MRI and divided into a low load group and a high load group. The general clinical data, past medical history, and blood biochemical indicators were compared between the two groups. The correlation analysis method was used to analyze the relationship between the relevant indicators and the total imaging load. Logistic regression analysis was used to analyze the risk factors of the total imaging load of CSVD. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of the detection indicators for clinical diagnosis. Results A total of 320 patients were included. Among them, there were 201 cases (62.81%) in the low load imaging group and 119 cases (37.19%) in the high load imaging group. Excepted for age, gender, history of hypertension, RDW, and NLR (P<0.05), there was no statistically significant difference in the comparison of other indicators between the two groups (P>0.05). Spearman correlation analysis showed that RDW (r=0.445, P<0.001) and NLR (r=0.309, P<0.001) were positively correlated with the total imaging load of CSVD. The results of multivariate logistic regression analysis showed that age, male gender, RDW, and NLR were risk factors for high imaging load of CSVD. The areas under the ROC curve of RDW, NLR, and their combined indicators were 0.733, 0.644, and 0.792, respectively.Conclusions In patients with CSVD, the levels of RDW and NLR are related to the total imaging load of CSVD, which are independent risk factors for high imaging load of CSVD. The levels of RDW and NLR have clinical diagnostic value in predicting CSVD high load.
ObjectiveTo exclusively compare the short-and long-term outcomes of hepatic resection (HR) patients with multifocal tumors meeting the Milan criteria between locating in same and different sections. MethodsA total of 219 consecutive HR patients with multifocal tumors meeting the Milan criteria were divided into group SS (n=97, same section) and group DS (n=122, different sections) according to their anatomical location (Couinaud's segmentation). ResultsThe 1-, 3-, and 5-year overall survival (OS) and recurrence-free survival (RFS) rates were significantly higher in the group SS than those in the group DS (P < 0.05). The subgroup analysis showed that patients with 2 tumors and those undergoing en bloc resection were associated with better OS and RFS (P < 0.05). ConclusionsFor HCC patients with multifocal tumors meeting the Milan criteria, those with tumors locating in same hepatic section may have better longterm survival and lower HCC recurrence rates than those locating in different sections after HR.
ObjectiveStudy how to quantify the bias of each study and how to estimate them. MethodIn the random-effect model, it is commonly assumed that the effect size of each study in meta-analysis follows a skew normal distribution which has different shape parameter. Through introducing a shape parameter to quantify the bias and making use of Markov estimation as well as maximum likelihood estimation to estimate the overall effect size, bias of each study, heterogeneity variance. ResultIn simulation study, the result was closer to the real value when the effect size followed a skew normal distribution with different shape parameter and the impact of heterogeneity of random effects meta-analysis model based on the skew normal distribution with different shape parameter was smaller than it in a random effects metaanalysis model. Moreover, in this specific example, the length of the 95%CI of the overall effect size was shorter compared with the model based on the normal distribution. ConclusionIncorporate the bias of each study into the random effects meta-analysis model and by quantifying the bias of each study we can eliminate the influence of heterogeneity caused by bias on the pooled estimate, which further make the pooled estimate closer to its true value.
ObjectiveTo analyze the geographical distribution of patients with colorectal cancer by screening the current Database from Colorectal Cancer (DACCA) version in West China Hospital.MethodsThe selected DACCA database version of this data analysis was updated on September 5, 2019, and the two data of the " date of operation” and " address” were selected as the main research items. The characteristics of each selected data item were analyzed, and then the selected data were used as a joint feature analysis.ResultsAccording to the condition of selection by " address”, 7 096 valid data rows from the whole nation were obtained, 6 551 valid data rows from Sichuan province were obtained, and 2 954 valid data rows from Chengdu city were obtained. The geographic information provided by the DACCA database showed that, with the year changing, the provincial distribution area of patients was mainly the southwest region with middle-east of Sichuan province as center, mainly including the parts of Chongqing, Yunnan, and Guizhou; The distribution area of the municipal level in Sichuan province was mainly the east region with axis of the " Mianyang-Chengdu-Ya’an”, and Chengdu was the core; The regional distribution of patients in the Chengdu was mainly within the third ring load with Wuhou District, the Jinniu District, and the Qingyang District as the core area.ConclusionThegeographical information provided by DACCA database shows the geographical distribution characteristics of patients in the past 20 years, reflecting the basic characteristics and changes of the service area of West China Hospital, and can provide a basis for medical policy makers in screening, diagnosing and treating of colorectal cancer, and key management areas of following-up.
It has been found that in biological studies, the simple linear superposition mathematical model cannot be used to express the feature mapping relationship from multiple activated grid cells' grid fields to a single place cell's place field output in the hippocampus of the cerebral cortex of rodents. To solve this problem, people introduced the Gauss distribution activation function into the area. We in this paper use the localization properties of the function to deal with the linear superposition output of grid cells' input and the connection weights between grid cells and place cells, which filters out the low activation rate place fields. We then obtained a single place cell field which is consistent with biological studies. Compared to the existing competitive learning algorithm place cell model, independent component analysis method place cell model, Bayesian positon reconstruction method place cell model, our experimental results showed that the model on the neurophysiological basis can not only express the feature mapping relationship between multiple activated grid cells grid fields and a single place cell's place field output in the hippocampus of the cerebral cortex of rodents, but also make the algorithm simpler, the required grid cells input less and the accuracy rate of the output of a single place field higher.
The temperature during the brain tumor therapy using high-intensity focused ultrasound (HIFU) should be controlled strictly. This research aimed at realizing uniform temperature distribution in the focal region by adjusting driving signals of phased array transducer. The three-dimensional simulation model imitating craniotomy HIFU brain tumor treatment was established based on an 82-element transducer and the computed tomography (CT) data of a volunteer's head was used to calculate and modulate the temperature distributions using the finite difference in time domain (FDTD) method. Two signals which focus at two preset targets with a certain distance were superimposed to emit each transducer element. Then the temperature distribution was modulated by changing the triggering time delay and amplitudes of the two signals. The results showed that when the distance between the two targets was within a certain range, a focal region with uniform temperature distribution could be created. And also the volume of focal region formed by one irradiation could be adjusted. The simulation results would provide theoretical method and reference for HIFU applying in clinical brain tumor treatment safely and effectively.
Objective To study the distribution of P2 Y2 receptor in spine cord, dorsal root ganglia and sciatic nerve in rat, and to provide the basis for clarifying the mechanism of the effect of adenosine triphosphate(ATP) on the peripheral nerve regeneration. Methods Six specimens of the spine cord, dorsal root ganglia and sciatic nerve from SD rats were fixed rapidly in 4% paraformaldehyde which included DEPC, imbedded by paraffin and made into ultrathin section. According to the sequence of P2 Y2 receptor’s gene, DNA needle was adopted to detect the distribution of P2 Y2 receptor by hybridization technique in section under the light microscope after theyhad been stained in NBT liquid（50 mg/ml） and BCIP liquid （75 mg/ml）. In thecontrol group, the ultrathin section was only covered with hybridism buffer solution. The result of staining was observed. ResultsHybridization in section showed that P2 Y2 receptor was distributed mainly in the anterior horn cell of spine cordgray matter and Schwann cell of the dorsal root ganglia. No P2 Y2 receptor was observed in the sciatic nerve of both groups. Conclusion P2 Y2 receptor is located mainly in the spine cord and the dorsal root ganglia. Extracellular ATP can affect the cell of spine cord, dorsal root ganglia through P2 Y2 receptor.
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.
Three dimensional (3D) printing is considered as an advanced manufacturing technology because of its additive nature. Electron beam melting (EBM) is a widely used 3D printing processes for the manufacturing of metal components. However, the products printed via this process generally contain micro porosities which affect mechanical properties, especially the fatigue property. In this paper, two types of EBM printed samples of the Ti-6Al-4V alloy, one with a round cross section and the other with a triangle cross section, were employed to investigate the existence of porosities using computed tomography (CT). Statistical analyses were conducted on the number, volume, shape, and distribution of pores. The results show that small pores (less than 0.000 2 mm3) account for 80% of all pores in each type of samples. Additionally, to some extent, the shape of sample has influence on the number of micro porosities in EBM made Ti-6Al-4V. The sphericity of the pores is relatively low and is inversely proportional to pore volume. It is found that re-melting on the free surface effectively reduce pore density near the surface. This study may help produce a medical implant with better fatigue resistance.