OBJECTIVE:To probe into the characteristics and general pattern of new ADR in our hospital. METHODS:A to-tal of 151 new ADR cases reported to Nationwide ADR Monitoring Network by our hospital during 2013 to 2014 were analyzed statistically. RESULTS:Of the 151 ADR cases,males(56.29%)showed higher proportion than females(43.71%);most of ADR cases were induced by anti-infective agents,including 45 cases(29.80%). ADR cases most easily induced by injection and intrave-nous dripping,accounting for 83.44% and 91.39 %,respectively. Lesions of skin and its appendants were most common clinical manifestations of ADR,which accounted for 28.82%(66 cases). There were 10 new and severe ADR cases(6.62%). All of ADR cases were cured or improved. CONCLUSIONS:More attention should be paid to ADR monitoring especially indication of anti-in-fective agent to reduce the occurrence of ADR.

After the Statute on Disposing Medical Accident was put in practice,doctors in China are faced with tremendous stress that never faced before.Doctors begin to evade risks with defensive medicine under the stress.There are two types of defensive medicine,one is positive defensive medicine,which will induce to excessive medical treatment for evading risks,another is negative defensive medicine which will lead to nonfeasance in the presence of intensive patients or dangerous diagnosis and treat procedure.Defensive medicine results in inefficiency of medical service and influences patients' safety.How to lessen doctors' defensive medicine will be an important social problem.

Objective To investigate the effect of quality control circle on reducing incidence of fecal incontinence dermatitis of intensive care unit (ICU) patients. Methods Quality control circle team was set up and theme was determined then retrospective analysis was carried out for the occurrence of defect in patients with fecal incontinence dermatitis from January to May 2014 before quality control circle activities. Occurrence reasons were explored and corrective measures were formulated and implemented.After the implementation of quality control circle,the occurrence of defect from June to October 2014 was observed. Results After the implementation of quality control circle,the occurrence of fecal incontinence dermatitis reduced from 24.5%(24/98) to 10.4% (10/96) and the difference was statistically significant,χ2=6.65, P<0.05. Conclusion Quality control circle is effective for reducing the occurrence of ICU fecal incontinence dermatitis and continual improvement of nursing quality.

10.3969/j.issn.1008-9691.2013.03.017

AIM:To investigate whether Mycoplasma pneumoniae ( Mp)-induced interleukin-1β( IL-1β) pro-duction in RAW264.7 cells is through the activation of NLRP3 inflammasome via reactive oxygen species (ROS).ME-THODS:RAW264.7 cells were randomly divided into 3 groups.In normal group , RAW264.7 cells were treated without Mp.In model group, RAW264.7 cells were treated with 1∶10 multiplicity of infection ( MOI) of Mp.In NAC group, RAW264.7 cells were pretreated with N-acetylcysteine ( NAC) at a concentration of 5 mmol/L for 30 min before infection with Mp.The RAW264.7cells were infected with Mp (1∶10 MOI) for 4, 8, 16 and 24 h in model group and NAC group , respectively.The intracellular ROS level was analyzed by flow cytometry .The mRNA expressions of NLRP3, ASC and caspase-1 were detected by real-time PCR.The protein levels of NLRP3, ASC and caspase-1 p20 were determined by Western blot.The levels of pro-inflammatory cytokine IL-1βin the supernatant were measured by ELISA .RESULTS:Compared with normal group , the production of ROS were significantly increased at 4, 8, 16 and 24 h after infection, the mRNA expression of NLRP3, ASC and caspase-1 were increased at 8, 16 and 24 h after infection, the protein levels of NL-RP3, ASC and caspase-1 p20 were increased at 16 and 24 h after infection, and the releases of IL-1βwere increased at 24 h after infection in model group (P<0.01).Compared with the model group, the level of ROS in NAC group decreased, so as the expression of NLRP3, ASC and caspase-1 at mRNA and protein levels and the releases of IL-1βin the superna-tant at the corresponding time points .CONCLUSION:Mp may stimulate the ROS production to activate NLRP 3 inflam-masome in RAW264.7 cells.

Objective To establish the HPLC fingerprints of Tangbikang Granules; To scientifically evaluate and effectively control the quality of Tangbikang Granules; To ensure its production stability. Methods HPLC was performed on the column of Germany Merck RP-18 endcapped (250 mm × 4.6 mm, 5 μm) with mobile phase of acetonitrile-0.1% formic acid water; column temperature was 40 ℃; flow rate was 1.0 mL/min; detection wavelength was 240 nm; volume injection was 20 μL. Fingerprint Similarity Evaluation Software (edition 2004A) of Chinese Pharmacopoeia Commission was used to evaluate the similarity of the 10 batches of Tangbikang Granules, and to analyze the correlations of 9 ingredients in Tangbikang Granules. Results Wogonoside was used as the reference peak, and the common mode for the HPLC fingerprints was set up. The similarities of the 10 batches of Tangbikang Granules were above 0.930, and altogether 25 common peaks in the chromatograms were found, of which 18 peaks were assigned to Chinese materia medica in Tangbikang Granules. Conclusion The method has good separability and is accurate and simple, which can provide references for the quality control of Tangbikang Granules.

Objective:To construct a fall risk prediction model for patients with hematologic malignancies and to provide a reference for the risk assessment and accurate management of falls.Methods:The prospective study design was adopted to facilitate the selection of 510 patients with hematologic malignant in Qilu Hospital of Shandong University for investigation, and relevant data such as patient demographic characteristics, disease treatment and drugs were collected. The LASSO-Logistic regression was used to screen the risk factors of falls in patients with hematologic malignancies, to construct a nomogram risk prediction model. The receiver operating characteristic curve (ROC) and calibration curve were used to evaluate the predictive performance of the model. Bootstrap resampling were used to validate internal validation of the model.Results:Among 510 patients with hematological malignancies, there were 273 males and 237 females, aged 53.0 (41.0, 63.0) years old. A total of 6 risk factors were included in the fall risk prediction model for patients with hematological malignancies, which were disease type ( OR = 0.185, 95% CI 0.061 - 0.562), body temperature ≥38 ℃ ( OR = 2.239, 95% CI 1.128 - 4.445), pain ( OR = 15.581, 95% CI 6.592 - 36.829), anemia ( OR = 4.097, 95% CI 1.536 - 10.927), days of bone marrow suppression ( OR = 3.341, 95% CI 1.619 - 6.893), and assessment of daily self-care ability ( OR = 3.160, 95% CI 1.051 - 9.506)(all P<0.05). The ROC curve of the fall risk prediction model was 0.884 (95% CI 0.841-0.927). The optimal threshold, sensitivity, and specificity of the risk prediction model were 0.248, 87.4% and 75.6%. The internal validation C statistic was 0.873. The Calibration curve was almost coincides with the ideal curve, and the model Brier score was 0.080. Conclusions:The constructed fall risk prediction model has good predictive performance, which can efficiently and objectively quantify the risk of falls, and provide a reference for the early assessment and effective prevention of falls in patients with hematological malignancies.

Objective:To investigate the value of a deep learning model based on diffusion-weighted imaging (DWI) in quick identification of the TOAST etiology classification in patients with acute ischemic stroke (AIS).Methods:In this cross-sectional study, imaging and clinical data of 504 patients with AIS admitted to the First Affiliated Hospital of Xinjiang Medical University from March 2023 to February 2024 were retrospectively reviewed. Using the TOAST etiology classification, there were 252 large artery atherosclerosis type and 252 small-artery occlusion type. The 504 cases were divided into a training set ( n=302), a validation set ( n=101) and a test set ( n=101) using stratified randomization in the ratio of 6∶2∶2. All cases had DWI data. A DenseNet network framework was used to construct DenseNet models by optimizing the model configurations of different layers. Three DenseNet models with different layers (121, 169, 201) were constructed, named DenseNet169 model, DenseNet121 model, and DenseNet201 model. The data enhancement, Adam optimizer and cross-entropy loss function methods were used to improve the convergence speed and robustness of the model, and to balance the positive and negative sample imbalance problem. Independent sample t-test or χ2 was used to compare the clinical data of patients with large artery atherosclerosis type and small-artery occlusion type AIS. Receiver operating characteristic curves and area under the curve (AUC) were performed to evaluate the efficacy of each model in identification of patients with large artery atherosclerosis type and small-artery occlusion type AIS. Results:There were statistically significant differences in age, National Institutes of Health Stroke Scale score at admission, and stenosis or occlusion of large vessels between patients with large artery atherosclerosis type and small-artery occlusion (all P<0.05). In the test set, the AUC, sensitivity, accuracy, and F1 score values of the DenseNet201 model for discriminating patients with large artery atherosclerosis type AIS and small-artery occlusion type AIS (0.826, 0.902, 0.743, 0.780, respectively) were higher than those of DenseNet121 (0.801, 0.647, 0.723, 0.702, respectively) and DenseNet169 model (0.778, 0.882, 0.733, 0.769). Conclusions:The deep learning models based DWI constructed in this study can help with the TOAST etiology classification of AIS cases. DenseNet201 model shows the best and stable performance in the deep learning-based classification.

Objective:To investigate the influence of abnormal blood pressure circadian rhythms and the morning surge on aortic stiffness in elderly patients with isolated systolic hypertension(ISH).Methods:A total of 300 untreated elderly(≥60 years)patients with ISH were enrolled.24-hour ambulatory blood pressure was measured by using a non-invasive portable ambulatory sphygmomanometer with an inflatable cuff.Brachial-ankle pulse wave velocity(baPWV)and the ankle-brachial pressure index(ABI)were measured by using an automated device.Patients were divided into the dipper(n=95), no-dipper(n=177)and extreme dipper(n=28)groups according to the rate of nocturnal blood pressure reduction.They were also divided into the morning surge(n=88)and no morning surge(n=212)groups according to the morning blood pressure surge(MBPS). Differences between the groups were compared.Correlations between the parameters were calculated by partial correlation analyses.The effects on baPWV and ABI were calculated by multiple linear regression analyses.Results:baPWV was higher in the extreme dipper group than in the dipper and no dipper groups[(1 402±234)cm/s vs.(1 467±114)cm/s vs.(1 538±140)cm/s, P<0.01], while ABI values were lower in the extreme dipper group than in the dipper group(0.98±0.10 vs.1.05±0.12, P<0.01)and the no dipper group(0.98±0.10 vs.1.03±0.12, P<0.05). Moreover, baPWV[(1 508±170)cm/s vs.(1 430±163)cm/s, P<0.01]was higher while ABI values(0.98±0.13 vs.1.06±0.11, P<0.01)were lower in the morning surge group than in the no morning surge group.baPWV was positively correlated with daytime Systolic blood pressure(dSBP)( r=0.169, P<0.01), 24 hSBPCV( r=0.143, P<0.05), and MBPS( r=0.157, P<0.01), while ABI was negatively correlated with dSBP( r=-0.146, P=0.011)and MBPS( r=-0.321, P<0.01). Age( P<0.01), dSBP( P<0.05)and 24 h systolic blood pressure variation coefficient( P<0.05)were independent factors for baPWV, while dSBP and MBPS were independent factors for ABI(all P<0.01). Conclusions:Abnormal blood pressure circadian rhythms and the morning surge are associated with increased aortic stiffness in elderly patients with ISH.

Objective To observe the value of synthetic MRI(SynMRI)and diffusion tensor imaging(DTI)for evaluating grade and isocitrate dehydrogenase-1(IDH-1)status of adult gliomas.Methods Totally 115 patients with adult glioma were retrospectively enrolled and divided into adult low-grade glioma(aLGG)group(n=44)and adult high-grade glioma(aHGG)group(n=71)according to WHO classification.There were 30 cases of IDH-1 mutant type,2 cases of wild type and 12 cases of undetermined gliomas in aLGG group,whereas 26 cases of IDH-1 mutant type,24 cases of wild type and 21 cases undetermined gliomas in aHGG group,respectively.SynMRI and DTI parameters,including T1 value,T2 value,proton density(PD),apparent diffusion coefficient(ADC)and fractional anisotropy(FA)were compared between groups,and the efficacy of each parameter for distinguishing aLGG and aHGG,as well as IDH-1 mutant type and wild type was analyzed.Results Significant differences of T1 value,T2 value,ADC and FA were found between groups,also between IDH-1 mutant type and wild type gliomas within aHGG group(all P＜0.05).The area under the curve(AUC)of the above parameters for distinguishing aLGG and aHGG was 0.731,0.686,0.930 and 0.710,respectively,while for distinguishing IDH-1 mutant type and wild type in aHGG group was 0.775,0.729,0.817 and 0.705,respectively,among which ADC had the highest AUC(all P＜0.05).Conclusion SynMRI and DTI parameters such as T1 value,T2 value,ADC and FA were helpful for distinguishing aLGG and aHGG,IDH-1 mutant type and wild type,among which ADC had the highest efficacy.