Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

OBJECTIVE: To explore clinical effect of bone cement-strengthened pedicle screw technique in the correction of stage Ⅲ asymptomatic Kümmell disease with kyphosis. METHODS: A retrospective analysis was conducted on clinical data of 40 asymptomatic stage Ⅲ Kümmell disease patients admitted between March 2019 and December 2021, including 15 males and 25 females, aged from 61 to 81 years old with an average of (67.4±5.2) years old;according to different surgical methods, they were divided into percutaneous kyphoplasty group (PKP) and reinforced screw group. There were 18 patients in PKP group, including 7 males and 11 females, aged from 61 to 78 years old with an average of (66.2±5.5) years old;the courses of disease ranged from 5 to 12 months with an average of (7.33±1.78) months;bone mineral density(BMD) T values ranged from -2.45 to -4.00 with an average of (-3.08±0.46);2 patients with T₈-T₉, 10 patients with T₁₀-T₁₂, and 6 patients with L₁-L₂;treated with PKP. There were 22 patients in reinforced screw group, including 8 males and 14 females, aged from 65 to 81 years old with an average of (68.5±3.8) years old;the courses of disease ranged from 4 to 15 months with an average of (7.86±2.73)months;bone mineral density(BMD) T values ranged from -2.40 to -4.50 with an average of (-3.18±0.54);3 patients with T₈-T₉, 12 patients with T₁₀-T₁₂, and 7 patients with L₁-L₂;treated with bone cement reinforced pedicle screw internal fixation combined with kyphoplasty. Cobb angle and anterior margin height of the injured vertebra were compared before operation, 3 d and 12 months after operation. Visual analogue scale (VAS) and Oswestry disability index (ODI) were compared between two groups before operation and 12 months after operation. The incidence of postoperative complications was compared between two groups. RESULTS: All patients were followed up, PKP group followed up for 11 to 14 months with an average of (11.97±0.96) months and 10 to 14 months with an average of (12.05±1.09) months in reinforced screw group;there was no significant difference between two groups (P>0.05). Postoperative Cobb angle at 3 days and 12 months in reinforced screw group were (7.34±2.26) ° and (18.86±1.96) °, while in PKP group were (18.88±1.89) ° and (23.28±1.90) °;there were statistical difference between two groups (P<0.05). The anterior margin height of the injured vertebra in reinforced screw group were (25.28±1.33) mm and (19.62±2.22) mm at 3 days and 12 months after operation, while in PKP group were (18.61±2.16) mm and(15.93±1.34) mm;there were statistical difference between two groups (P<0.05). Cobb angle and the anterior margin height of the injured vertebra were significantly improved at 3 days and 12 months after operation between two groups (P<0.05). Postoperative VAS and ODI at 12 months in PKP group were (2.00±0.69) score and (13.44±4.02)%, while in reinforced screw group were(1.91±0.61) score and (10.18±4.26)%;which were significantly lower than (6.89±0.76) score and (36.33±3.40)% in PKP group, (7.23±0.75) score and (37.09±3.73) % in reinforced screw group before operation. There were no difference in postoperative VAS between two groups at 12 months (P>0.05);postoperative ODI in reinforced screw group at 12 months was lower than that in PKP group(P<0.05). There was no significant difference in complications between two groups (χ²=0.071, P>0.05). CONCLUSION PKP and bone cement reinforced nail combined with PKP could improve kyphotic deformity and postoperative function, and relieve pain. The application of bone cement-reinforced nail fixation technology could provide a more stable support, more obvious functional recovery, lower the risk of re-collapse of the injured vertebra, and maintain the long-term stability of spine.
Humans ; Male ; Female ; Aged, 80 and over ; Kyphosis/surgery* ; Aged ; Bone Cements ; Middle Aged ; Retrospective Studies ; Pedicle Screws ; Spinal Fractures/surgery* ; Fracture Fixation, Internal/methods* ; Bone Screws ; Kyphoplasty

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective To analyze the imaging features of cerebral small vessel disease in patients with type 2 diabetes mellitus by multimodal MRI.Methods The clinical data of 160 patients with cerebral small vessel disease admitted to our hospital from January to December 2020 were retrospectively analyzed.According to whether they were complicated with type 2 diabetes mellitus,they were divided into the diabetic group and the non-diabetic group,with 80 cases in each group.Both groups underwent multimodal MRI scans.And the severity of lacunar infarction,the severity of subcortical and periventricular white matter lesions,white matter integral and cerebral microbleeds of patients in the two groups were compared.Results The severity of lacunar infarction(χ2=34.076,P=0.001),subcortical white matter lesions(χ2=25.000,P=0.001),periventricular white matter lesions(χ2=22.895,P=0.001)and white matter integral(t=12.370,P=0.001)of patients in the diabetic group were significantly higher than those in the non-diabetic group.No cerebral microbleeds were detected in either group of patients.Conclusion Patients with cerebral small vessel disease and type 2 diabetes mellitus show characteristic multimodal MRI changes.The increase in the number of lacunar infarction lesions and the aggravation of white matter lesions can be used as the characteristic imaging basis for the diagnosis of type 2 diabetes mellitus related cerebral small vessel disease.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

This study aims to separate and characterize self-assembled nanoparticles(SAN) from Shaoyao Gancao Decoction(SGD) and determine the content of active compounds. Further, we aimed to observe the therapeutic effect of SGD-SAN on imiquimod-induced psoriasis in mice. The separation of SGD was performed by dialysis, and the separation process was optimized by single factor experiment. The SGD-SAN isolated under the optimal process was characterized, and the content of gallic acid, albiflorin, paeoniflorin, liquiritin, isoliquiritin apioside, isoliquiritin, and glycyrrhizic acid in each part of SGD was determined by HPLC. In the animal experiment, mice were assigned into a normal group, a model group, a methotrexate group(0.001 g·kg~(-1)), and SGD, SGD sediment, SGD dialysate, and SGD-SAN groups of different doses(1, 2, and 4 g·kg~(-1)) respectively. The psoriasis grade of mice was evaluated based on the pathological changes of skin lesions, the content of inflammatory cytokines, organ index and other indicators. The results showed that SAN obtained by centrifugation at 13 000 r·min~(-1) for 30 min was stable after dialysis for 4 times, which were uniform spherical nanoparticles with the particle size of(164.43±1.34) nm, the polydispersity index of(0.28±0.05), and the Zeta potential of(-12.35±0.80) mV. The active compound content accounted for more than 70% of SGD. Compared with the model group, SAN and SGD decreased the skin lesion score, spleen index, and inflammatory cytokine levels(P<0.05 or P<0.01) and alleviated the skin thickening and infiltration of inflammatory cells. However, the sediment group and the dialysate group had no obvious effect. SGD showed a good therapeutic effect on imiquimod-induced psoriasis in mice, and SAN demonstrated the effect equivalent to SGD in a dose-dependent manner. Therefore, we conclude that the SAN formed during decocting is the main active form of SGD, which can lower the levels of inflammatory cytokines, promote the normal differentiation of keratinocytes, and reduce the infiltration of inflammatory cells in the treatment of psoriasis lesions in mice.
Mice ; Animals ; Imiquimod ; Drugs, Chinese Herbal/pharmacology* ; Glycyrrhizic Acid ; Chromatography, High Pressure Liquid/methods*

Objective:To explore the feasibility and effectiveness of the construction of urban unmanned aerial vehicle (UAV) blood distribution system, and to provide a novel way for the distribution of emergency blood.Methods:The study was completed in Hangzhou from April 2019 to January 2021, and the main participants were from the Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang Province Blood Center and Hangzhou Fast Ant Network Technology Co., Ltd. Firstly, an unmanned aircraft delivery system was built for urban emergency blood and a special blood storage box for drones were developed. The drone was used to deliver blood products from Zhejiang Province Blood Center to Binjiang Campus, the Second Affiliated Hospital of Zhejiang University School of Medicine, and the following indicators were obtained: (1) flight time of the drone blood delivery; (2) real-time temperature of blood products during transportation; (3) Baidu map software was used to measure the blood delivery time of road traffic, which was compared with the flight time of the drone.Results:The urban drone blood delivery system consists of intelligent logistics drones, cryogenic blood storage tanks, unmanned logistics hub stations, and cloud-based operation control platforms. The drone route distance from Zhejiang Provincial Blood Center to Binjiang Campus, the Second Affiliated Hospital of Zhejiang University School of Medicine was 2.36±0.06 km, and the ground distance was 5.8 km, with 27 flights from April 12, 2019 to January 29, 2021, and the drone flight time was, shorter than the road travel time for a round trip [(6.37±0.35) min vs. (17.00±1.94) min]. At different time points of the day, UAV blood delivery could save 15.98-4.28 min, with an average saving of 10.62±1.87 min. Conclusions:Urban UAV blood delivery systems have the advantages of being fast, unaffected by ground traffic conditions, and can ensure the safety of blood products during transportation, and are worthy of further exploration.