1.Comparison of delirium assessment tool used in the old dementia patients
Xueqin GAN ; Wenwu ZHANG ; Yi'na WANG ; Binbin PAN ; Lei FENG ; Dongsheng ZHOU
Chinese Journal of Modern Nursing 2017;23(8):1095-1098
Objective To compare the diagnostic validity between the delirium rating methods (confusion assessment method,CAM) and the nurse used delirium screening scale(nursing delirium screening scale,NU-DESC)for the old dementia patients. Methods Patients who met the criteria for DSM-IV dementia diagnosis,the CAM and the NU-DESC was used to assess at 0,2,4,6,8 weeks after admission,and the DSM-IV was used as the gold standard diagnosis criteria for delirium. To compare the diagnostic sensitivity, specificity and consistency between the two evaluation tools using the ROC curve analysis and diagnostic consistency test. Results The criticality value of the CAM to estimate dementia patients with delirium was 26,with sensitivity 0.97,specificity 0.82,and the Kappa of the consistent with DSM-IV diagnosis was 0.60;the criticality value of the NU-DESC to estimate dementia patients with delirium was 3,with sensitivity 0.81, specificity 0.77,and the Kappa of the consistent with DSM-IV diagnosis was 0.45. For mild and moderate dementia patients,the diagnostic validity of the two tools was closer;for the severe dementia patients,the diagnostic validity of the CAM was better than the NU-DESC. Conclusions The sensitivity and specificity of the CAM used in the dementia patients were higher,the CAM was better than the NU-DESC,and could be used to screen for senile dementia patients with delirium;the NU-DESC could be used to estimate the mild and moderate dementia patients.
2.Review on the etiology and risk factors of progressive local kyphosis after vertebral augmentation for osteoporotic vertebral fractures
Jiadong WANG ; Lei LIU ; Yuzhu XU ; Pan FAN ; Lele ZHANG ; Wenwu GAN ; Feng ZHANG ; Yuntao WANG
Chinese Journal of Orthopaedics 2024;44(21):1424-1431
With an aging population, the incidence of osteoporotic vertebral fractures (OVFs) is on the rise, posing new challenges for developing personalized treatment strategies. For patients who do not respond to conservative treatment, percutaneous vertebroplasty or percutaneous kyphoplasty (PVP/PKP) remains the preferred surgical option due to its minimal invasiveness and rapid recovery time. However, progressive local kyphosis (PLK) is one of the most severe complications following PVP/PKP, with an incidence rate of 1.5%-25.8%. PLK often presents with recurring thoracic and lower back pain, and in severe cases, spinal stenosis, causing symptoms like numbness and pain in the lower limbs. The severity of PLK varies, and treatments can range from conservative management and bone cement reinforcement to internal fixation or osteotomy. Current studies suggest that re-fracture of the affected vertebra, intervertebral disc degeneration, and osteonecrosis may be underlying mechanisms. These conditions shift the axial load forward, promoting postoperative PLK, which tends to progress over time. Postoperative PLK is closely associated with patient characteristics, fracture details, surgical factors, and post-surgery osteoporosis management. 1) The severity of osteoporosis, as indicated by the T-score from bone mineral density testing, can help predict postoperative PLK. While factors like age and gender influence osteoporosis severity, no direct relationship has been established between these factors and PLK. 2) Thoracolumbar fractures, old nonunion fractures, endplate fractures, or severe preoperative compression changes with kyphosis can increase PLK risk. Surgical factors, including the use of balloons or implants and the distribution of bone cement, also play a role. Personalized treatment plans should be developed based on the patient's general condition and imaging results to ensure adequate bone cement diffusion, as enhanced integration can reduce PLK risk. 3) Postoperative anti-osteoporosis therapy is also crucial; long-term therapy, particularly with teriparatide, can prevent PLK. Recognizing the related risk factors and establishing predictive models can help clinicians tailor treatments. Machine learning models, utilizing big data, are particularly adept at handling complex interrelated risk factors and may provide a powerful tool for personalized treatment in the future.
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.