1.Development of biological safety protection third-level laboratory based on folding-modular shelters
Si-Qing ZHAO ; Jian-Qiao XIA ; Zhong-Jie SUN ; Kang OUYANG ; Xiao-Jun JIN ; Kang-Li ZHOU ; Wei XIE ; Hai-Yang LI ; Da-Peng JIANG ; Yan-Yan GAO ; Bei SUN
Chinese Medical Equipment Journal 2024;45(3):41-46
Objective To develop a biological safety protection third-level(BSL-3)laboratory based on folding-modular shelters to solve the problems of the existing laboratories in space and function expansion,large-scale deployment and low-cost transportation.Methods The BSL-3 laboratory was composed of a folding combined shelter module,a ventilation and purification module,a power supply and distribution module,a monitoring and communication module,a control system module and an equipment module.The folding combined shelter module used a leveling base frame as the foundation and a lightweight panel as the enclosure mechanism,and was divided into an auxiliary area and a protection protected area;the ventilation and purification module was made up of an air supply unit and an air exhaust unit,the air supply unit was integrated with a fresh-air air conditioner and the exhaust unit was equipped with a main fan,a standby fan and a bag in/bag out filter;the control system module adopted a supervision mode of decentralized control and centralized management,which executed communication with the data server as the center and Profinet protocol and MODBUS-TCP.Results The BSL-3 laboratory proved to meet the requirements of relevant standards in internal microenvironment,airflow direction,airtightness,working condition and disinfection effect.Conclusion The BSL-3 laboratory is compatible with large-scale transport and deployment and facilitates reliable and safe experiments for epidemic prevention and control and cross-regional support.[Chinese Medical Equipment Journal,2024,45(3):41-46]
2.Trauma condition identification and localization based on improved YOLOv5 algorithm
Yu-Shu WANG ; Yong-Jian NIAN ; Xue PENG ; Jin XIE ; Jun QI ; Yao TAN
Chinese Medical Equipment Journal 2024;45(9):1-6
Objective To propose an attention mechanism-based YOLOv5 algorithm to relieve the wrong or missed diagnosis due to the complexity and variability of trauma conditions.Methods A YOLOv5-attention algorithm was constructed with YOLOv5 algorithm as the basic framework,which introduced the convolutional attention mechanism module into the feature fusion network and embedded the self-attention module at the end of the feature extraction network and the feature fusion network,respectively.The YOLOv5-attention algorithm was trained and validated on the Kaggle platform and compared with Fast-RCNN and YOLOv5 algorithms for determining fracture sites.Results The YOLOv5-attention algorithm achieved an average presicion of 0.859 8 for fracture site determination,which behaved better than Fast-RCNN algorithm with an average presicion of 0.697 5 and YOLOv5 algorithm with an average presicion of 0.847 1.Conclusion The YOLOv5-attention algorithm with high accuracy and robustness can identify and locate trauma conditions effectively and accurately.[Chinese Medical Equipment Journal,2024,45(9):1-6]
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.
4.The value of the modified 5-factor frailty index in assessing postoperative complications and mortality in elderly patients with hip fractures
Zongyan XIE ; Shuyu ZHANG ; Xuhong WANG ; Junrong GUO ; Jian XI ; Feifei ZHAO ; Lu JIN ; Liang LIU
Chinese Journal of Geriatrics 2024;43(1):50-55
Objective:To analyze the value of the modified 5-factor frailty index in assessing postoperative complications and mortality in elderly hip fracture patients.Methods:In this retrospective study, clinical data were collected of hip fracture patients aged 60 years and above surgically treated at Beijing Luhe Hospital affiliated to Capital Medical University between January 2015 and December 2019.Patients' group assignment was based on whether the modified frailty index score was ≤1 or ≥2, and a post-surgery follow-up was conducted for survival at 30 days, 1 year, 2 years, and 4 years, which was analyzed by the Kaplan-Meier method.Multivariate Cox regression analysis was used to identify factors affecting death in elderly patients.Results:A total of 1 208 patients were included, with 890 in the group with the index score ≤1 and 318 in the group with the index score ≥2.There was no difference in mortality at 30 days(1.6% or 14/890 vs.1.9% or 6/318, P=0.707), 1-year(11.3% or 99/874 vs.11.6% or 36/310, P=0.917), 2-years(19.7% or 168/852 vs.24.3% or 73/300, P=0.099)and 4-years(44.0% or 238/541 vs.51.5% or 106/206, P=0.071). The incidence of postoperative complications in the group with the score ≥2 was higher(14.8% or 47/318 vs.9.7% or 86/890, P=0.012), including the incidence of stroke(6.3% or 20/318 vs.1.8% or 16/890, P<0.001)and the incidence of postoperative pneumonia(6.0% or 19/318 vs.3.1% or 28/890, P=0.029), and the differences were statistically significant.Multivariate Cox regression analysis showed that age, being female, the Charlson comorbidity index score and low hemoglobin at admission were risk factors for 1-year, 2-year and 4-year mortality post-surgery(all P<0.05), while the modified frailty index score had no correlation with postoperative mortality. Conclusions:A modified frailty index ≥2 is predictive of increased risk of postoperative pneumonia and stroke in patients with hip fractures, but is not correlated with the risk of postoperative mortality.
5.Investigation of Adductive Characteristics of Sulfur Mustards with Active Thiols
Meng-Yao ZHANG ; Jin-Long CAI ; Meng-Qiang GONG ; Bin XU ; Jian-Feng WU ; Hai-Xia WU ; Jian-Wei XIE
Chinese Journal of Analytical Chemistry 2024;52(7):995-1003,中插30-中插34
An analytical method based on ultra high performance liquid chromatography-high resolution tandem mass spectrometry(UHPLC-HRMS/MS)and high performance liquid chromatography-triple quadrupole mass spectrometry(HPLC-TQ MS)was established to reveal the characteristics of various sulfur mustard analogs with different active thiol molecules in CWC Schedule 1.A.04.Firstly,the toxic agents were prepared by micro-directed synthesis,and then the differences of the reactivity and abundance of formed adducts between different sulfur mustards and glutathione(GSH),cysteine(Cys)and N-acetylcysteine(NAC)in incubation solution,plasma and cell were investigated,respectively.The results indicated that all target sulfur mustards could react with three kinds of thiol molecules.The content of Cys and sulfur mustard adducts in plasma was higher than that of GSH and sulfur mustard adducts,while NAC and sulfur mustard adducts might have fewer types of adducts due to low content or poor mass spectrometry response.Additionally,the content of GSH and sulfur mustard adducts in exposed cells was higher than that of Cys,which should be due to the significant difference in the content of thiol molecules in plasma and cells.
6.Expert consensus on difficulty assessment of endodontic therapy
Huang DINGMING ; Wang XIAOYAN ; Liang JINGPING ; Ling JUNQI ; Bian ZHUAN ; Yu QING ; Hou BENXIANG ; Chen XINMEI ; Li JIYAO ; Ye LING ; Cheng LEI ; Xu XIN ; Hu TAO ; Wu HONGKUN ; Guo BIN ; Su QIN ; Chen ZHI ; Qiu LIHONG ; Chen WENXIA ; Wei XI ; Huang ZHENGWEI ; Yu JINHUA ; Lin ZHENGMEI ; Zhang QI ; Yang DEQIN ; Zhao JIN ; Pan SHUANG ; Yang JIAN ; Wu JIAYUAN ; Pan YIHUAI ; Xie XIAOLI ; Deng SHULI ; Huang XIAOJING ; Zhang LAN ; Yue LIN ; Zhou XUEDONG
International Journal of Oral Science 2024;16(1):15-25
Endodontic diseases are a kind of chronic infectious oral disease.Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha.However,it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT).Recent research,encompassing bacterial etiology and advanced imaging techniques,contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT.Success in RCT hinges on factors like patients,infection severity,root canal anatomy,and treatment techniques.Therefore,improving disease management is a key issue to combat endodontic diseases and cure periapical lesions.The clinical difficulty assessment system of RCT is established based on patient conditions,tooth conditions,root canal configuration,and root canal needing retreatment,and emphasizes pre-treatment risk assessment for optimal outcomes.The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT.These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.
7.Analysis of enterovirus infection type among acute respiratory tract infection cases in Luohe City, Henan Province from 2017 to 2021.
Wen Xia LI ; Zhi Bo XIE ; Jin XU ; Bai Cheng XIA ; Hong Jian DUAN ; Jin Hua SONG ; Hui Ling WANG ; Wen Bo XU ; Yan ZHANG ; Hua FAN
Chinese Journal of Preventive Medicine 2023;57(3):378-385
Objective: To understand the infection status of Enterovirus (EV) in cases of acute respiratory infections (ARIs) in Luohe City, Henan Province from 2017 to 2021, and analyze the prevalence and type composition of EV in ARIs. Methods: From October 2017 to May 2021, pharyngeal swab samples were collected from 1 828 patients with ARIs in Luohe Central Hospital and the clinical epidemiological data of these cases were also collected. EV-positive samples were identified by Quantitative Real-time Polymerase Chain Reaction (qPCR). The 5'-untranslated region (5'UTR) was amplified by Reverse Transcription-Polymerase Chain Reaction (RT-PCR). The results of 5'UTR region were initially typed by Enterovirus Genotyping Tool Version 1.0. Based on the typing results, the full-length of VP1 region was amplified by RT-PCR. The EV typing was identified again by VP1 region. Results: Among 1 828 cases of ARIs, 56.7% (1 036) were males. The median (Q1, Q3) age was about 3 (1, 5) years. Patients under 5 years old accounted for 71.6% (1 309 cases). Among all cases, a total of 71 EV-positive samples were identified by qPCR, with a detection rate of 3.88% (71/1 828). The EV detection rates for men and women were 3.28% (34/1 036) and 4.67% (37/792), without statistically significant differences (χ2=2.32, P=0.14). The EV detection rates for 2 to <6 years, 6 months to <2 years, 6 to <10 years, and <6 months were 6.29% (48/763), 3.00% (18/600), 2.52% (4/159), and 1.67% (1/60) (χ2=27.91, P<0.001). The EV detection rate was 0.92% (3/326) in autumn and winter of 2017. The EV detection rates were 1.18% (6/508), 2.47% (12/485) and 8.31% (34/409) in each year from 2018 to 2020, with an increasing trend year by year(χ2trend=29.76, P<0.001). The main prevalent seasons were summer and autumn. The detection rate in spring of 2021 was 4.00% (4/100). A total of 12 types were identified and classified as CVA2, CVA4, CVA5, CVA6, CVA10, CVB3, CVB5, E5, E11, E30, PV-1, and EV-D68. The types of CVA2, CVA10, CVA6, and CVB3 were the dominant phenotypes. In 59 sample of EV typing, the main clinical manifestation was upper respiratory tract infection (36/59, 61.01%). The dominant types detected in upper respiratory tract infections were CVA10 (10/36, 27.78%), CVA6 (9/36, 25.00%) and CVB3 (8/36, 22.22%). The dominant type detected in lower respiratory tract infections was CVA2 (7/19, 36.84%). Conclusion: In Luohe City, Henan Province from 2017 to 2021, EV infection in ARIs cases has clear seasonal and age-specific patterns, and the dominant types of upper and lower respiratory tract infections are different.
Male
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Female
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Humans
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Enterovirus/genetics*
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5' Untranslated Regions
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Enterovirus Infections/epidemiology*
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Phenotype
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Antigens, Viral/genetics*
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Respiratory Tract Infections/epidemiology*
;
Phylogeny
8.Eligibility of C-BIOPRED severe asthma cohort for type-2 biologic therapies.
Zhenan DENG ; Meiling JIN ; Changxing OU ; Wei JIANG ; Jianping ZHAO ; Xiaoxia LIU ; Shenghua SUN ; Huaping TANG ; Bei HE ; Shaoxi CAI ; Ping CHEN ; Penghui WU ; Yujing LIU ; Jian KANG ; Yunhui ZHANG ; Mao HUANG ; Jinfu XU ; Kewu HUANG ; Qiang LI ; Xiangyan ZHANG ; Xiuhua FU ; Changzheng WANG ; Huahao SHEN ; Lei ZHU ; Guochao SHI ; Zhongmin QIU ; Zhongguang WEN ; Xiaoyang WEI ; Wei GU ; Chunhua WEI ; Guangfa WANG ; Ping CHEN ; Lixin XIE ; Jiangtao LIN ; Yuling TANG ; Zhihai HAN ; Kian Fan CHUNG ; Qingling ZHANG ; Nanshan ZHONG
Chinese Medical Journal 2023;136(2):230-232
9.A hnRNPA2B1 agonist effectively inhibits HBV and SARS-CoV-2 omicron in vivo.
Daming ZUO ; Yu CHEN ; Jian-Piao CAI ; Hao-Yang YUAN ; Jun-Qi WU ; Yue YIN ; Jing-Wen XIE ; Jing-Min LIN ; Jia LUO ; Yang FENG ; Long-Jiao GE ; Jia ZHOU ; Ronald J QUINN ; San-Jun ZHAO ; Xing TONG ; Dong-Yan JIN ; Shuofeng YUAN ; Shao-Xing DAI ; Min XU
Protein & Cell 2023;14(1):37-50
The twenty-first century has already recorded more than ten major epidemics or pandemics of viral disease, including the devastating COVID-19. Novel effective antivirals with broad-spectrum coverage are urgently needed. Herein, we reported a novel broad-spectrum antiviral compound PAC5. Oral administration of PAC5 eliminated HBV cccDNA and reduced the large antigen load in distinct mouse models of HBV infection. Strikingly, oral administration of PAC5 in a hamster model of SARS-CoV-2 omicron (BA.1) infection significantly decreases viral loads and attenuates lung inflammation. Mechanistically, PAC5 binds to a pocket near Asp49 in the RNA recognition motif of hnRNPA2B1. PAC5-bound hnRNPA2B1 is extensively activated and translocated to the cytoplasm where it initiates the TBK1-IRF3 pathway, leading to the production of type I IFNs with antiviral activity. Our results indicate that PAC5 is a novel small-molecule agonist of hnRNPA2B1, which may have a role in dealing with emerging infectious diseases now and in the future.
Animals
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Mice
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Antiviral Agents/pharmacology*
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COVID-19
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Hepatitis B virus
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Interferon Type I/metabolism*
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SARS-CoV-2/drug effects*
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Heterogeneous-Nuclear Ribonucleoprotein Group A-B/antagonists & inhibitors*
10.LASSO regression based risk prediction model establishment for Klebsiella pneumonia infection in patients with severe acute pancreatitis
Shanshan JIN ; Ge YU ; Hui XIE ; Jian LU ; Qiuping HUANG ; Ruilan WANG
Chinese Journal of Pancreatology 2023;23(1):20-27
Objective:To construct a risk prediction model for infection with Klebsiella pneumonia (KP) for patients with severe acute pancreatitis (SAP).Methods:Retrospective analysis was done on the clinical data of 109 SAP patients who were admitted to Shanghai General Hospital, between March 2016 and December 2021. Patients were classified into infection group ( n=25) and non-infection group ( n=84) based on the presence or absence of KP infection, and the clinical characteristics of the two groups were compared. The least absolute shrinkage and selection operator (LASSO) algorithm was used to reduce the dimension of the variables with statistical significance in univariate analysis. A nomogram prediction model was created by incorporating the optimized features from the LASSO regression model into the multivariate logistic regression analysis. Receiver operating characteristic curve (ROC) was drawn and the area under curve (AUC) was calculated; and consistency index (C-index) were used to assess the prediction model's diagnostic ability. Results:A total of 25 strains of KP were isolated from 109 patients with SAP, of which 21(84.0%) had multi-drug resistance. 20 risk factors (SOFA score, APACHEⅡ score, Ranson score, MCTSI score, mechanical ventilation time, fasting time, duration of indwelling of the peritoneal drainage tube, duration of deep vein indwelling, number of invasive procedures, without or with surgical intervention, without or with endoscopic retrograde cholangiopancreatography (ERCP), types of high-level antibiotics used, digestion disorders, abnormalities in blood coagulation, metabolic acidosis, pancreatic necrosis, intra-abdominal hemorrhage, intra-abdominal hypertension, length of ICU stay and total length of hospital stay) were found to be associated with KP infection in SAP patients by univariate analysis. The four variables (APACHEⅡ score, duration of indwelling of the peritoneal drainage tube, types of high-level antibiotics used, and total length of hospital stay) were extracted after reduced by LASSO regression. These four variables were found to be risk factors for KP infection in SAP patients by multiple logistic regression analysis (all P value <0.05). Nomogram prediction model for KP infection in SAP was established based on the four variables above. The verification results of the model showed that the C-index of the model was 0.939, and the AUC was 0.939 (95% CI 0.888-0.991), indicating that the nomogram model had relatively accurate prediction ability. Conclusions:This prediction model establishes integrated the basic clinical data of patients, which could facilitate the risk prediction for KP infection in patients with SAP and thus help to formulate better therapeutic plans for patients.

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