1.Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis
Jian LIU ; Hongchun ZHANG ; Chengxiang WANG ; Hongsheng CUI ; Xia CUI ; Shunan ZHANG ; Daowen YANG ; Cuiling FENG ; Yubo GUO ; Zengtao SUN ; Huiyong ZHANG ; Guangxi LI ; Qing MIAO ; Sumei WANG ; Liqing SHI ; Hongjun YANG ; Ting LIU ; Fangbo ZHANG ; Sheng CHEN ; Wei CHEN ; Hai WANG ; Lin LIN ; Nini QU ; Lei WU ; Dengshan WU ; Yafeng LIU ; Wenyan ZHANG ; Yueying ZHANG ; Yongfen FAN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):182-188
The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis (GS/CACM 337-2023) was released by the China Association of Chinese Medicine on December 13th, 2023. This expert consensus was developed by experts in methodology, pharmacy, and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine (CACM) and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine (pulmonary diseases) and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung, acute bronchitis, and acute attack of chronic bronchitis from the aspects of applicable populations, efficacy evaluation, usage, dosage, drug combination, and safety. It is expected to guide the rational drug use in medical and health institutions, give full play to the unique value of Qinbaohong Zhike oral liquid, and vigorously promote the inheritance and innovation of Chinese patent medicines.
2.Comprehensive evaluation of benign and malignant pulmonary nodules using combined biological testing and imaging assessment in 1 017 patients: A retrospective cohort study
Lei ZHANG ; Zihao LI ; Nan LI ; Jun CHENG ; Feng ZHANG ; Pinghui XIA ; Wang LÜ ; ; Jian HU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(01):60-66
Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.
3.Identification of Alumen and Ammonium alum Based on XRD, FTIR, TG-DTA Combined with Chemometrics
Bin WANG ; Jingwei ZHOU ; Huangsheng ZHANG ; Jian FENG ; Hanxi LI ; Guorong MEI ; Jiaquan JIANG ; Hongping CHEN ; Fu WANG ; Yuan HU ; Youping LIU ; Shilin CHEN ; Lin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):178-186
ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction(XRD), Fourier-transform infrared spectroscopy(FTIR) and thermogravimetric-differential thermal analysis(TG-DTA), and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant, Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum, and the XRD characteristic profiles of Alumen were established, and then the common peaks were screened. Based on hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection(VIP) value>1. FTIR characteristic profiles of Alumen were established, and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile, the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA, and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However, by comparing the PDF standard cards of XRD, 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles, 10 characteristic peaks were confirmed, corresponding to diffraction angles of 14.560°, 24.316°, 12.620°, 32.122°, 17.898°, 34.642°, 27.496°, 46.048°, 40.697° and 21.973°. In the FTIR profiles, 4 wavenumber ranges(399.193-403.050, 1 186.010-1 471.420, 1 801.190-2 620.790, 3 612.020-3 997.710 cm-1) and 12 characteristic wavenumbers(1 428.994, 1 430.922, 1 432.851, 1 434.779, 1 436.708, 1 438.636, 1 440.565, 1 442.493, 1 444.422, 1 446.350, 1 448.279, 1 450.207 cm-1) were identified. In the TG-DTA profiles, there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD, FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum, and combined with the discriminant features selected through chemometrics, the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.
4.Identification of Alumen and Ammonium alum Based on XRD, FTIR, TG-DTA Combined with Chemometrics
Bin WANG ; Jingwei ZHOU ; Huangsheng ZHANG ; Jian FENG ; Hanxi LI ; Guorong MEI ; Jiaquan JIANG ; Hongping CHEN ; Fu WANG ; Yuan HU ; Youping LIU ; Shilin CHEN ; Lin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(13):178-186
ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction(XRD), Fourier-transform infrared spectroscopy(FTIR) and thermogravimetric-differential thermal analysis(TG-DTA), and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant, Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum, and the XRD characteristic profiles of Alumen were established, and then the common peaks were screened. Based on hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA), the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection(VIP) value>1. FTIR characteristic profiles of Alumen were established, and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile, the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA, and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However, by comparing the PDF standard cards of XRD, 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles, 10 characteristic peaks were confirmed, corresponding to diffraction angles of 14.560°, 24.316°, 12.620°, 32.122°, 17.898°, 34.642°, 27.496°, 46.048°, 40.697° and 21.973°. In the FTIR profiles, 4 wavenumber ranges(399.193-403.050, 1 186.010-1 471.420, 1 801.190-2 620.790, 3 612.020-3 997.710 cm-1) and 12 characteristic wavenumbers(1 428.994, 1 430.922, 1 432.851, 1 434.779, 1 436.708, 1 438.636, 1 440.565, 1 442.493, 1 444.422, 1 446.350, 1 448.279, 1 450.207 cm-1) were identified. In the TG-DTA profiles, there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD, FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum, and combined with the discriminant features selected through chemometrics, the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.
5.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
6.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
7.Clinical practice guidelines for intraoperative cell salvage in patients with malignant tumors
Changtai ZHU ; Ling LI ; Zhiqiang LI ; Xinjian WAN ; Shiyao CHEN ; Jian PAN ; Yi ZHANG ; Xiang REN ; Kun HAN ; Feng ZOU ; Aiqing WEN ; Ruiming RONG ; Rong XIA ; Baohua QIAN ; Xin MA
Chinese Journal of Blood Transfusion 2025;38(2):149-167
Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.
8.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
9.Efficacy and Safety of Systemic Thrombolysis in the Treatment of Lower Extremity Fracture Complicated With Distal Deep Vein Thrombosis.
Shi-Qiang LIAO ; Shu-Ming SHI ; Qiang ZHANG ; Chuan-Yong LI ; Guang-Feng ZHENG ; Zhi-Chang PAN ; Jian-Jie RONG
Acta Academiae Medicinae Sinicae 2025;47(2):237-243
Objective To evaluate the efficacy and safety of systemic thrombolysis(ST)and standard anticoagulation(SA)in the treatment of lower extremity fracture complicated with distal deep vein thrombosis(DDVT).Methods We retrospectively analyzed the clinical data of 60 patients with lower extremity fracture complicated with DDVT treated from January 2021 to December 2023.When the lower limb venography indicated a calf thrombus burden score ≥3 points,a retrievable inferior vena cava filter(IVCF)was successfully placed in the healthy femoral vein before orthopedic surgery.The patients who received further anticoagulant or thrombolytic therapy after surgery were allocated into a ST group(n=30,urokinase ST and SA)and a SA group(n=30,only SA).The two groups were compared in terms of calf thrombus burden score,thrombus dissolution rate,IVCF placement time,IVCF retrieval rate,intercepted thrombi,hemoglobin level,platelet count,D-dimer level,and complications.Results There was no statistically significant difference in the calf thrombus burden score between the two groups before treatment(P=0.431).However,after treatment,the scores in both groups decreased(both P<0.001),with the ST group showing lower score than the SA group(P=0.002).The thrombus dissolution rate in the ST group was higher than that in the SA group(P<0.001).There was no statistically significant difference in the IVCF placement time between the two groups(P=0.359),and the IVCF retrieval rate was 100% in both groups.The ST group had fewer intercepted thrombi than the SA group(P=0.002).There was no statistically significant difference in hemoglobin level(P=0.238),platelet count(P=0.914),or D-dimer level(P=0.756)between the two groups before treatment.However,after treatment,both groups showed an increase in platelet count(both P<0.001)and a decrease in D-dimer level(both P<0.001).There was no statistically significant difference in the occurrence of complications between the two groups(P=0.704).Conclusions Both SA and ST demonstrate safety and efficacy in the treatment of lower extremity fractures complicated with DDVT,serving as valuable options for clinical application.Compared with SA,ST not only enhances the thrombus dissolution in the calf but also mitigates the risk of thrombosis associated with IVCF.
Humans
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Venous Thrombosis/therapy*
;
Retrospective Studies
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Thrombolytic Therapy/methods*
;
Male
;
Female
;
Middle Aged
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Fractures, Bone/complications*
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Lower Extremity/injuries*
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Anticoagulants/therapeutic use*
;
Aged
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Treatment Outcome
;
Adult
10.Risk Factors and a Nomogram Construction for Prolonged Length of Hospital Stay in Patients With Peritoneal Dialysis Associated Peritonitis.
Jing YAO ; Xiao-Jian BAO ; Ya-Feng ZHANG ; Bin WU ; Qi-Shun WU
Acta Academiae Medicinae Sinicae 2025;47(2):244-250
Objective To analyze the risk factors for prolonged length of hospital stay in patients with peritoneal dialysis associated peritonitis(PDAP)and construct a nomogram based on Logistic regression model.Methods A retrospective study was conducted on patients with PDAP who were hospitalized at the Affiliated Hospital of Jiangsu University from January 2013 to December 2023.Using the 75th percentile of hospitalization time as the cutoff(>21 days),the patients were divided into prolonged length of hospital stay group and normal length of hospital stay group.Clinical data were compared between the two groups.Logistic regression analysis was used to analyze the risk factors for prolonged hospital stay in PDAP patients and to construct a nomogram.Results A total of 131 PDAP patients were included in this study,including 40 cases in prolonged length of hospital stay group and 91 cases in normal length of hospital stay group.Multivariate Logistic regression analysis showed that Gram-negative bacteria detected in ascites(OR=6.012,95% CI=1.878-19.248,P=0.003)and elevated platelet count(OR=1.010,95% CI=1.005-1.015,P<0.001)were independent risk factors for prolonged length of hospital stay,while elevated serum chloride(OR=0.885,95% CI=0.802-0.978,P=0.016)was a protective factor.Based on the above three indicators,a nomogram was constructed.The multivariate Logistic regression model showed an area under the receiver operating characteristic curve(AUC)of 0.755,with an internal validation AUC of 0.727 using the Bootstrap method.The calibration curve indicated that the predicted probability was consistent with the actual probability.The decision curve showed that the model was clinically applicable when the threshold probabilities were 9%-10%,13% and 18%-92%.Conclusion A nomogram,based on the detection of gram-negative bacteria in ascites,platelet count and serum chloride,was helpful for clinical screening PADP patients at risk for prolonged length of hospital stay,and can provide a basis for optimizing clinical decision-making.
Humans
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Nomograms
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Risk Factors
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Peritoneal Dialysis/adverse effects*
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Retrospective Studies
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Length of Stay
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Peritonitis/etiology*
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Logistic Models
;
Male
;
Female
;
Middle Aged
;
Aged

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