1.Coronary artery perforation after using shockwave balloon during percutaneous coronary intervention treatment:a case report
Chen-Ji XU ; Fei LI ; Fa ZHENG ; Bin ZHANG ; Feng-Xia QU ; Jian-Meng WANG ; Ya-Qun ZHOU ; Xian-Liang LI ; Song-Tao WANG ; Yan SHAO ; Chang-Hong LU
Chinese Journal of Interventional Cardiology 2024;32(7):405-408
Coronary perforation is when a contrast agent or blood flows outside a blood vessel through a tear in a coronary artery.In this case,we reported a case of percutaneous coronary intervention for coronary calcified lesions,which led to iatrogenic coronary perforation and cardiac tamponade after the use of Shockwave balloon to treat intracoronary calcified nodules,and the management of PCI-related CAP was systematically reviewed through the literature.
2.Mechanism and clinical study of cardiac contractility modulation for heart failure
Qun LU ; Xiao LIANG ; Ling BAI ; Dan-Jun ZHU ; Xiao-Lin XUE ; Ke HAN
Chinese Journal of Interventional Cardiology 2024;32(8):457-462
Cardiac contractility modulation(CCM),as a new implantable electronic therapy device for treating chronic heart failure with reduced ejection fraction(HFrEF),has rapidly become a hot topic in the cardiovascular field due to its ability to enhance ventricular myocardial contractility,improve patients'symptoms and signs,cardiac function indexes and even long-term prognosis.This article reviews the mechanism and clinical studies of CCM in treating HFrEF,and based on its mechanism and signal transduction algorithm,further analyzes and prospects its efficacy in patients with heart failure with preserved ejection fraction,cardiac resynchronization therapy non-response,and HFrEF with concomitant atrial fibrillation,aiming to promote CCM to meet the needs of more diverse clinical situations in heart failure patients.
3.Analysis of the characteristics of infectious pathogens in burn patients with sepsis based on metagenomic next-generation sequencing technology
Jijing SHI ; Liang ZHAO ; Xiaoliang LI ; Qun ZHANG ; Chengde XIA ; Chao MA
Chinese Journal of Burns 2024;40(10):940-947
Objective:To analyze the characteristics of infectious pathogens in burn patients with sepsis based on metagenomic next-generation sequencing (mNGS) technology.Methods:This study was a retrospective observational study. From July 2021 to December 2023, 109 burn patients with sepsis who met the inclusion criteria were admitted to the Department of Burns of the First People's Hospital of Zhengzhou, including 68 males aged 57 to 92 years and 41 females aged 48 to 83 years. Blood, bronchoalveolar lavage fluid, cerebrospinal fluid, sputum, or other fluid specimens were collected from the patients during their hospital stay for microbiological culture (86 patients) and mNGS technology detection (109 patients). The types of specimens and pathogens detected by mNGS technology were counted. Patients were divided into intensive care unit (ICU) group (78 cases) who were admitted to the ICU and non-ICU group (31 cases) who were not admitted to the ICU, and the pathogens for infection in the two groups of patients were analyzed. In addition, the detection of pathogens in the specimens of 86 patients who underwent both mNGS technology detection and microbiological culture detection was analyzed.Results:Among the 109 specimens detected by mNGS technology, there were 42 blood specimens, 17 bronchoalveolar lavage fluid specimens, 4 sputum specimens, 6 cerebrospinal fluid specimens, 16 pus specimens, and 24 tissue fluid specimens; a total of 39 pathogens were detected, including 13 bacteria, 12 fungi, 10 viruses, 2 parasites, and 2 mycoplasmas. The overall positive rate of pathogen detection was 88.99% (97/109). Ranked by the detection rate, the top three Gram-negative bacteria were Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas spp, the top three Gram-positive bacteria were Streptococcus pneumoniae, Staphylococcus aureus, and Enterococcus faecalis; the top three viruses were human herpesvirus, cytomegalovirus, and circovirus; the top three fungi were Aspergillus fumigatus, Candida albicans, and Aspergillus flavus. Twenty-seven patients were infected with one pathogen, 45 patients with two pathogens, and 25 patients with three or more pathogens. Compared with those in non-ICU group, the proportions of Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas spp, Streptococcus pneumoniae, Aspergillus fumigatus, and cytomegalovirus detected in the patients in ICU group were significantly higher (with χ2 values of 8.62, 7.93, 3.93, 5.48, 4.28, and 5.58, respectively, P<0.05). In the pathogens detected by mNGS technology and microbiological culture method, the most common bacteria were Klebsiellapneumoniaeand Acinetobacter baumannii, and the most common fungi were strains of Aspergillus and Candida. There were 19 pathogens those could only be detected by mNGS technology, such as Lichtheimia ramosa, Pneumocystis jirovecii, Mycobacterium tuberculosis, viruses, etc.; there were no pathogens detected by microbiological culture method that couldn't be detected by mNGS technology. Compared with those detected by microbiological culture method, the overall positive rate, bacterial positive rate, and fungal positive rate detected by mNGS technology were significantly increased (with χ2 values of 45.52, 5.88, and 4.94, respectively, P<0.05). The 27.91% (24/86) of patients were detected positive by both methods, and 72.09% (62/86) of the patients were detected positive by mNGS technology but negative by microbiological culture method. The consistency test of the results obtained by the two detection methods showed that the difference was not statistically significant ( κ=0.02, P>0.05). Conclusions:The positive rate of pathogen detection in specimens using mNGS technology is higher than that detected by using conventional microbiological culture method, and it can detect pathogens those cannot be detected by the latter, such as Lichtheimia ramosa, Pneumocystis jirovidii, Mycobacterium tuberculosis, viruses, etc. Detection using mNGS technology can help clarify the types of infectious pathogens in burns patients with sepsis, and provide basis and guidance for clinical medication.
4.Analysis of correlation between colorectal adenoma and serum lipid level
Qun LIANG ; Su-Dong LIU ; Rui-Qiang WENG ; Xiao-Dong GU ; Bo-Ying LIU
Modern Interventional Diagnosis and Treatment in Gastroenterology 2024;29(2):122-125,134
Objective To investigate the relationship between serum lipid profiles and colorectal adenomas,and to benefit the prevention of colorectal cancer.Methods This study retrospectively analyzes the serum lipid profiles and clinical parameters of 2,960 patients who were diagnosed with colorectal adenomas,and 3,156 individuals without colorectal adenomas in Meizhou People's Hospital from May 2018 to May 2020.The association between serum lipid profiles and colorectal adenoma was evaluated by Logistic regression analysis.Results It was observed that the serum levels of total cholesterol(TC),triglyceride(TG),low density lipoprotein cholesterol(LDL-C)and apoliprotein B(ApoB)were significantly elevated in patients with colorectal adenomas.Dyslipidemia was more prevalent in adenoma cases than in controls.The Logistic regression analysis suggested that serum TC and TG levels were positively associated with the occurrence of colorectal adenomas.Conclusion Elevated serum TG and TC levels are independent risk factors for adenoma,and adenoma patients with elevated serum TG and TC levels may be more likely to develop high-risk adenoma.
5.Post-operative healthcare-associated infection influencing factors and me-diating effect of diagnosis-intervention packet payment differentials in colorectal cancer patients
Yu RONG ; Qian-Qian HUANG ; Jia-Yi OU ; Shu-Liang YU ; Ye-Ying SONG ; Wei-Qun LU ; Li-Ming REN ; Yao FU ; Jian-Hui LU
Chinese Journal of Infection Control 2024;23(11):1421-1429
Objective To explore the potential influencing factors of post-operative healthcare-associated infection(HAI)in colorectal cancer patients,as well as the mediating effect relationship between the influencing factors and the diagnosis-intervention packet(DIP)payment differentials.Methods Medical data of patients who underwent colorectal cancer surgery in a tertiary first-class cancer hospital in Guangzhou were retrospectively analyzed.According to HAI status,patients were divided into infection group and non-infection group.Baseline demographic information and differences in DIP payment differentials between two groups of patients were compared by rank sum test or chi-square test.The influence of each potential factor on the occurrence of HAI was analyzed by logistic re-gression.Mediating analysis was preformed by bootstrap method,and mediating effect of HAI and total hospitaliza-tion days on DIP payment differentials was evaluated.Results A total of 350 patients were included in analysis,50 were in the infection group and 300 in the non-infection group.The incidence of HAI was 14.29%.Logistic regres-sion analysis result showed that risk of HAI in patients with central venous catheterization ≥10.00 days was 13.558 times higher than that<10.00 days(P<0.001);risk of HAI in patients with urinary catheterization ≥3.00 days was 2.388 times higher than that<3.00 days(P=0.022).There were all statistically significant differences in DIP payment differentials among patients with different ages,prognostic nutritional index(PNI),HAI status,total length of hospitalization stay,duration of surgery,central venous catheterization days,and catheterization days(all P<0.05).The mediating analysis results showed that the occurrence of HAI resulted a change in DIP payment di-fferentials by affecting the total number of hospitalization days.The mediating effect value of total hospitalization days was 0.038,accounting for 35.68%of the total effect.Conclusion Medical institutions should pay attention to HAI resulting from prolonged central venous and urinary catheterization in patients underwent surgery for colorectal cancer,reducing the total length of hospital stay,thus reducing the overruns associated with the increased DIP pay-ment differentials.
6.Relationship between AGGF1 expression and invasion, metastasis and prognosis of hepatocellular carcinoma
Shaoping LIU ; Qun LIANG ; Yinzhi WEI ; Lei NIE ; Yahua HU ; Hai ZHANG
Journal of Chinese Physician 2024;26(10):1499-1503
Objective:To detect the expression of angiogenic factor (AGGF1) with G-patch and FHA domain 1 in hepatocellular carcinoma (HCC), and to investigate its relationship with HCC angiogenesis, invasion and metastasis and its clinical significance.Methods:A total of 90 primary HCC patients were selected from the Huangshi Central Hospital and Hubei Province Cancer Hospital from January 2019 to September 2020. Clinicopathological data of all patients were collected. The expression of AGGF1 and CD34 in cancer tissues of 90 HCC patients was detected by immunohistochemistry, and microvascular density (MVD) was calculated. The patients were followed up for three years. The relationship between AGGF1 and serum angiopoietin-2 (Ang-2) content, MVD, clinicopathological parameters and postoperative prognosis was analyzed.Results:The positive rate, relative expression level and MVD value of AGGF1 in HCC tissues were significantly higher than those in adjacent tissues (all P<0.05). The relative expression of AGGF1 in cancer tissues was positively correlated with the MVD value ( r=0.716). Serum Ang-2 content and MVD in AGGF1-positive patients were significantly higher than those in AgGF1-negative patients (all P<0.01). AGGF1 expression in HCC tissues was significantly correlated with tumor differentiation, tumor size, (China Liver Cancer (CNLC) staging, lymph node metastasis, vascular invasion, and postoperative recurrence and metastasis (all P<0.01). Kaplan-Meier analysis showed that the 2- and 3-year survival rates of patients with high AGGF1 expression were significantly lower than those of patients with low AGGF1 expression (all P<0.01). Multivariate analysis showed that CNLC stage, lymph node metastasis, vascular invasion, AGGF1 expression, postoperative recurrence and metastasis were the influencing factors for postoperative survival of HCC patients (all P<0.05). Conclusions:The high expression of AGGF1 can promote the angiogenesis of HCC, and is significantly correlated with invasion and metastasis and poor prognosis, which can be a potential evaluation indicator of HCC clinical prognosis.
7.To explore the feasibility of Qingfei Paidu decoction in the prevention and treatment of sudden epidemic pulmonary infection from the perspective of"Jue heat overcomes the complex,Yin and Yang are complicated"
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2024;31(1):1-5
Traditional Chinese medicine has a long history of treating epidemic diseases.Numerous references are available.As early as the Yellow Emperor's Classic of Internal Medicine-Su Wen Chapter mentioned:"the five epidemics are all similar,regardless of their size,and the symptoms are similar".In the prevention and treatment of the coronavirus disease 2019(COVID-19),Chinese medicine has shown its unique advantages.Pulmonary infection is one of the most common diseases associated with sudden epidemic diseases,which is mostly induced by various infectious factors such as epidemic bacteria or viruses.If the patient has a history of chronic lung disease,it will further aggravate the clinical symptoms,and is easy to develop into severe pneumonia,with high mortality,rapid progress,long course of treatment,poor prognosis,and many complications,and the general antibiotic application is not as effective as desired."Jue heat overcomes the complex,Yin and Yang are complicated"comes from the chapter of Jueyin disease in Shanghan Lun(Treatise on Febrile Diseases),which is one of the typical features of fever occurring from illness to Jueyin.To explore the correlation between Jueyin disease and the pathogenesis of severe pneumonia from multiple angles,analyze the mechanism of Qingfei Paidu decoction in the treatment of Jueyin fever,better understand the essence of Zhang Zhongjing's prescription,and provide new ideas for the syndrome differentiation process of patients with pulmonary infection caused by epidemic diseases.At present,the prevention and control mechanism of COVID-19 in China has been gradually improved,the number of patients with COVID-19 has been gradually reduced,and the epidemic situation is easing.However,even so,it is still impossible to predict whether sudden and major epidemic diseases similar to COVID-19 will break out again in the future.
8.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.
9. Effect of naringenin regulating RIP1-RIP3-MLKL signaling pathway on apoptosis of ovarian granulosa cells in rats with polycystic ovary syndrome
Xiang-Yang LYU ; Liang ZHANG ; Ji-Qun XU ; Xiao-Shuang REN
Chinese Pharmacological Bulletin 2024;40(3):483-489
Aim Based on the apoptotic pathway mediated by receptor interacting protein kinase(RIP)1-RIP3-mixed spectrum kinase domain like protein(MLKL), to explore the effects of naringenin on ovarian granulosa cell apoptosis in rats with polycystic ovary syndrome(PCOS). Methods SD rats were randomly assigned into normal control group, model group, naringenin group, RIP1 inhibitor(Nec-1)group, RIP1-RIP3-MLKL necrosis signal activator(Z-VAD-fmk)group, naringenin+Z-VAD-fmk group, 15 rats per group. ELISA method was performed to measure the levels of IL-1β and TNF-α in ovarian tissue. HE method was performed to observe the shape of the ovary. Granular cells were isolated from ovarian tissue, and flow cytometry was performed to measure apoptosis rate and necrosis rate. Immunohistochemistry was performed to measure the positive expression of p-RIP1 in ovarian tissue. Western blot was employed to detect the expression of RIP1-RIP3-MLKL pathway. Results RIP1 specific inhibitor Nec-1 and naringenin could block the phosphorylation and activation of RIP1, inhibit the RIP1-RIP3-MLKL signaling pathway, reduce the inflammation level in PCOS rats, and alleviate the necrosis and apoptosis of ovarian granulosa cells(P<0.05). Z-VAD-fmk could promote the activation of RIP1-RIP3-MLKL pathway, aggravate the apoptosis of ovarian granulosa cells, and partially weaken the anti-apoptosis effect of naringenin(P<0.05). Conclusions Naringenin may inhibit the apoptosis of ovarian granulosa cells in PCOS rats by blocking the activation of the necrotic apoptotic pathway mediated by RIP1-RIP3-MLKL.
10.Integrated Chinese and Western Medicine Prognosis Model of Complications in Patients with Influenza A/B or COVID-19
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(19):144-153
ObjectiveBased on real-world clinical data of traditional Chinese medicine (TCM), a Cox proportional hazards model was built to predict the risk factors of complications in patients with Corona Virus Disease 2019 (COVID-19) or influenza A/B, and the cumulative occurrence function graph was used to present the prediction output. MethodThe medical records of the patients with respiratory infectious diseases, including COVID-19 and influenza A/B, treated in the First Affiliated Hospital of Heilongjiang University of Chinese Medicine from November 2022 to October 2023 were collected. The data from the electronic medical record system were integrated into a data warehouse. The information of the patients with respiratory diseases caused by influenza A and B viruses and SARS-CoV-2 from November 2022 to October 2023 was retrospectively collected. The information involved age, gender, disease course, past medical history, laboratory test results, tongue manifestation, pulse manifestation, TCM syndrome, and main therapeutic drugs. The outcome indicators of whether complications occurred were obtained by telephone follow-up and review of readmission records. The data was divided into a training set and a validation set in a ratio of 70% and 30%, respectively. In the training set, the Cox proportional hazards model was used to identify the key factors affecting patient complications. Then, the combination of variables was optimized by stepwise elimination method, and an efficient complication risk assessment model was constructed, which was visualized in the form of histogram. The C-index, receiver operating characteristic (ROC) curve, calibration error graph, and decision curve analysis were employed to comprehensively measure the prediction performance of the model. ResultThe history of chronic lung diseases [hazard ratio (HR) 4.46, 95% confidence interval (95%CI) 1.79-11.12], Qi deficiency (HR 5.74, 95%CI 2.14-15.39), thready and weak pulse (HR 4.45, 95%CI 1.88-10.50), hormone use history (HR 4.57, 95%CI 2.04-10.23), procalcitonin (PCT>10 μg·L-1) (HR 1.23, 95%CI 0.06-0.86), serum amyloid A (SAA)>100 mg·L-1 (HR 9.80, 95%CI 7.24-59.75), and platelet (PLT)>303×109 /L (HR 5.66, 95%CI 2.01-16.00) were the risk factors for complications. Chinese medicine intervention (HR 0.20, 95%CI 0.06-0.70) was the protective factor for complications. Based on the above risk factors, the prediction model was constructed. In the training set, the C-index was estimated to be 0.765, and the CI was within the range of 0.667 to 0.859. In the validation set, the C-index was 0.804, and the CI varied within the range of 0.773 to 0.855. The temporal variation graph of C-index was then described. The area under the ROC curve (AUC) at 5, 10, 15 months was 0.61, 0.72, and 0.79 in the training set and 0.60, 0.67, and 0.62 in the validation set, respectively. In addition, calibration and decision curves were drawn for 5, 10, 15 months for both training and validation sets, which showed that the model had good calibration performance and was effective in clinical practice. ConclusionThe history of chronic lung diseases, Qi deficiency, thready and weak pulse, hormone use history, PCT>10 μg·L-1, SAA>100 mg·L-1, and PLT>303×109 /L were risk factors for complications in patients with COVID-19 or influenza A/B, while Chinese medicine intervention was a protective factor. The prediction model was established based on the indicators above. The model showcased excellent distinguishing performance, calibration performance, and clinical practicability, providing scientific support for the prevention and control of complications caused by respiratory viral infections.

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