Objective To investigate the relationship between C-reactive protein(C-RP)/albumin ratio(CAR)and peripheral artery disease(PAD)in elderly patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 elderly patients with T2DM hospitalized in the Department of Endocrinology of our hospital were enrolled in this study from December 2022 to December 2023 and divided into PAD group with ankle brachial index(ABI)≤0.9(n=78)and T2DM group with ABI>0.9(n=72).The general data,biochemical indicators and CAR were compared between the two groups.Pearson correlation analysis was used to analyze the correlation between CAR and each biochemical index.Logistic regression analysis was used to explore the influencing factors for PAD in T2DM patients.Receiver operator characteristic(ROC)curve was used to evaluate the predictive value of CAR for PAD.Results Age,DM duration,body mass index,systolic blood pressure,diastolic blood pressure,C-RP,white blood cell count,fasting plasma glucose(FPG),total cholesterol(TC),triglycerides(TG),blood uric acid,low density lipoprotein cholesterol(LDL-C),and blood urea nitrogen(BUN),CAR was higher(P<0.05),while albumin,high density lipoprotein cholesterol(HDL-C),and ABI were lower in the PAD group than in the T2DM group(P<0.05).Pearson correlation analysis showed that CAR was positively correlated with FPG,TG,and BUN(P<0.05),and negatively correlated with HDL-C and ABI(P<0.05).Logistic regression analysis showed that CAR(OR 1.594,95%CI 1.236～2.062),TC(OR 1.070,95%CI 1.017～1.130),TG(OR 1.101,95%CI 1.021～1.184),HDL-C(OR 0.883,95%CI 0.813～0.965),LDL-C(OR 1.090,95%CI 1.012～1.186),FPG(OR 1.065,95%CI 1.020～1.104)were influencing factors for the occurrence of PAD in elderly patients with T2DM.ROC curve analysis showed that the area under the curve of CAR was 0.82 for predicting PAD in elderly patients with T2DM,the cut-off value was 0.35,the sensitivity was 78%,and the specificity was 85%.Conclusions CAR is correlated with ABI in elderly patients with T2DM.Given CAR is an influencing factor for the occurrence of PAD,it may serve as a potential predictor for PAD development in this population.

Objective To investigate the relationship between C-reactive protein(C-RP)/albumin ratio(CAR)and peripheral artery disease(PAD)in elderly patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 elderly patients with T2DM hospitalized in the Department of Endocrinology of our hospital were enrolled in this study from December 2022 to December 2023 and divided into PAD group with ankle brachial index(ABI)≤0.9(n=78)and T2DM group with ABI>0.9(n=72).The general data,biochemical indicators and CAR were compared between the two groups.Pearson correlation analysis was used to analyze the correlation between CAR and each biochemical index.Logistic regression analysis was used to explore the influencing factors for PAD in T2DM patients.Receiver operator characteristic(ROC)curve was used to evaluate the predictive value of CAR for PAD.Results Age,DM duration,body mass index,systolic blood pressure,diastolic blood pressure,C-RP,white blood cell count,fasting plasma glucose(FPG),total cholesterol(TC),triglycerides(TG),blood uric acid,low density lipoprotein cholesterol(LDL-C),and blood urea nitrogen(BUN),CAR was higher(P<0.05),while albumin,high density lipoprotein cholesterol(HDL-C),and ABI were lower in the PAD group than in the T2DM group(P<0.05).Pearson correlation analysis showed that CAR was positively correlated with FPG,TG,and BUN(P<0.05),and negatively correlated with HDL-C and ABI(P<0.05).Logistic regression analysis showed that CAR(OR 1.594,95%CI 1.236～2.062),TC(OR 1.070,95%CI 1.017～1.130),TG(OR 1.101,95%CI 1.021～1.184),HDL-C(OR 0.883,95%CI 0.813～0.965),LDL-C(OR 1.090,95%CI 1.012～1.186),FPG(OR 1.065,95%CI 1.020～1.104)were influencing factors for the occurrence of PAD in elderly patients with T2DM.ROC curve analysis showed that the area under the curve of CAR was 0.82 for predicting PAD in elderly patients with T2DM,the cut-off value was 0.35,the sensitivity was 78%,and the specificity was 85%.Conclusions CAR is correlated with ABI in elderly patients with T2DM.Given CAR is an influencing factor for the occurrence of PAD,it may serve as a potential predictor for PAD development in this population.

This article reports a case of hyperthyroidism complicated with cerebral venous sinus thrombosis(CVST). A 33-year-old woman patient was admitted to the Department of Endocrinology due to hyperthyroidism. She developed convulsions of the legs, unconsciousness, and " epileptic" seizures in the early morning of the next day and was transferred to the Department of Neurology. The patient′s clinical manifestations and laboratory tests suggested hyperthyroidism, Graves′ disease complicated with CVST formation, internal jugular vein thrombosis, and venous acute cerebral infarction. After standard treatment for hyperthyroidism, anticoagulation, and reduction in intracranial pressure were given, the patient′s condition improved. After 3 months of follow-up, the patient had a good prognosis. Until now, 41 patients with hyperthyroidism complicated with CVST have been described in case reports. For patients with hyperthyroidism presenting with headaches, especially those with severe neurological symptoms such as epilepsy or hemiplegia, clinicians should be vigilant and conduct appropriate imaging evaluations to assess the possibility of CVST. Once the diagnosis of CVST is confirmed, treatment for both hyperthyroidism and CVST should be initiated simultaneously to achieve a favorable prognosis.

Objective To assess the life cycle, focus of research and developments of transcranial magnetic stimulation (TMS) from the perspective of technology management and information research.Methods Based on data sources from the Web of Science Core Collection and Derwent Innovations Index,such research methods as statistical analysis and social network analysis were adopted.The whole dataset was loaded into Bicomb, Loglet Lab and UCINET for further bibliometric analysis and network drawing.Results and Conclusion TMS research is currently quite active.The technology trajectory is in the second phase, having developed from the stage of growth to the stage of maturity.Network structure of TMS is taking shape, and there is still the lack of core technology themes.The present research focus of TMS will provide strong and firm support for its future medical application.In the next phase, research on the mechanism and neurobiological effects of TMS will be a hot spot.For practical assessment of specific technology, we should strengthen data mining and analysis, while bringing in the expert consultation method.

The life cycle, evolution and trend of EEG technology were studied by plotting its S curve model ac-cording to its maturity theory with Derwent Innovation Index Database-covered EEG technology patent data as a sample. Cluster analysis and strategic coordinate analysis according to the co-classification network of Derwent pa-tent classification code showed the linkage relationship and evolution trend in different fields of EEG technology. The frequency and centrality of EEG technology were analyzed according to the co-word network of Derwent manual code in order to identify the distribution and hotspots of research on EEG technology.

Objective To explore application value of PDCA cycle method in intravenous( IV ) infusion speed management in inpatients. Methods Patients hospitalized in the 2nd ward of Department of Neurology,Peking University Third Hospital were selected as subjects and IV infusion speed standards were drown up using a quality improvement management,Plan-Do-Check-Action( PDCA)cycle method. Before and after the management,data related to IV infusion speeds from May 20th to 26th,2013( before management)and May 12th to 18th,2014( after management)and adverse drug reactions/events( ADR/ADE)evaluated absolutely,probably,or possibly related to drugs from August 2012 to May 2013( before management)and August 2013 to May 2014( after management)were collected,the qualified rates of IV infusion speeds and ADR/ADE rates were calculated. Results There were 40 beds of ward of department of Neurology. During May 20th to 26th ,2013,33 kinds of injections were used in patients(255 person-time),and 11 kinds of injections( belonged to 7 types,184 person-time)were selected as pilot injections for IV infusion speed management. The qualified rates of IV infusion speed were 82. 4%-100. 0% and the average IV infusion speed was 94. 6% ± 6. 7%. During May 12th to 18th ,2014,39 injections were used in patients(721 person-time). Among them,11 pilot injections were used in patients(483 person-time),the qualified rates of IV infusion speed were 85. 7%-100. 0% and the average IV infusion speed was 96. 6% ± 5. 1%. The qualified rate of IV infusion speed after IV infusion speed management increased than that before 05). A total of 145 cases of ADR/ADE which were evaluated absolutely,probably or possibly related to drugs were collected. Of them,49 cases of ADR/ADE were related to IV infusion speed,including 22 cases before IV infusion speed management(accounted for 36. 1% of 61 cases of ADR/ADE during the same time)and 27 cases after IV infusion speed management(accounted for 32. 1% of 84 cases of ADR/ADE during the same time). As for the ADR/ADE involved in 11 pilot injections, 3 cases occurred before management (accounted for 4. 9% of 61 cases of ADR/ADE during the same time)and 4 cases occurred after management( accounted for 4. 7% of 84 cases of ADR/ADE during the same time). Conclusion Application of PDCA cycle method may improve quality of IV infusion speed management in inpatients and increase medication safety management level.

Objective To explore application value of PDCA cycle method in intravenous( IV ) infusion speed management in inpatients. Methods Patients hospitalized in the 2nd ward of Department of Neurology,Peking University Third Hospital were selected as subjects and IV infusion speed standards were drown up using a quality improvement management,Plan-Do-Check-Action( PDCA)cycle method. Before and after the management,data related to IV infusion speeds from May 20th to 26th,2013( before management)and May 12th to 18th,2014( after management)and adverse drug reactions/events( ADR/ADE)evaluated absolutely,probably,or possibly related to drugs from August 2012 to May 2013( before management)and August 2013 to May 2014( after management)were collected,the qualified rates of IV infusion speeds and ADR/ADE rates were calculated. Results There were 40 beds of ward of department of Neurology. During May 20th to 26th ,2013,33 kinds of injections were used in patients(255 person-time),and 11 kinds of injections( belonged to 7 types,184 person-time)were selected as pilot injections for IV infusion speed management. The qualified rates of IV infusion speed were 82. 4%-100. 0% and the average IV infusion speed was 94. 6% ± 6. 7%. During May 12th to 18th ,2014,39 injections were used in patients(721 person-time). Among them,11 pilot injections were used in patients(483 person-time),the qualified rates of IV infusion speed were 85. 7%-100. 0% and the average IV infusion speed was 96. 6% ± 5. 1%. The qualified rate of IV infusion speed after IV infusion speed management increased than that before 05). A total of 145 cases of ADR/ADE which were evaluated absolutely,probably or possibly related to drugs were collected. Of them,49 cases of ADR/ADE were related to IV infusion speed,including 22 cases before IV infusion speed management(accounted for 36. 1% of 61 cases of ADR/ADE during the same time)and 27 cases after IV infusion speed management(accounted for 32. 1% of 84 cases of ADR/ADE during the same time). As for the ADR/ADE involved in 11 pilot injections, 3 cases occurred before management (accounted for 4. 9% of 61 cases of ADR/ADE during the same time)and 4 cases occurred after management( accounted for 4. 7% of 84 cases of ADR/ADE during the same time). Conclusion Application of PDCA cycle method may improve quality of IV infusion speed management in inpatients and increase medication safety management level.

Advances in modern science and technology bring the potential for human performance modification(HPM) which could be a golden opportunity for military medicine.HPM technologies can deepen the extension of military medicine research, provide frontier research achievements, and such innovations will fulfill increasingly sophisticated requirements coming from the military.The pull factor of HPM oriented military medicine is the capacity needs of military personnel to execute military operations.Through the bridge of science and technology, it will meet the demands of maintaining, regener-ating and improving fighting force.