1.From Bedside to Molecular Diagnosis-Multidisciplinary Treatment of a Rare Case of Autoinflammatory Disease Presenting with Skin Induration and Limb Weakness
Hanhui FU ; Wenjun WANG ; Yaping LIU ; Hui YOU ; Tao WANG ; Wen ZHANG ; Xuejun ZENG ; Liying CUI ; Huijuan ZHU ; Xiuli ZHAO ; Min SHEN ; Yicheng ZHU
JOURNAL OF RARE DISEASES 2026;5(2):207-213
This article reports a rare case of autoinflammatory disease presenting initially with skin induration and swelling after trauma as the initial manifestation, followed by progressive limb weakness. The patient was a middle-aged female who developed skin induration and swelling after trauma, which gradually progressed to limb weakness, dysarthria and bilateral facial paralysis, accompanied by livedo reticularis of the lower extremities, diffuse skin induration of the limbs, and beaded subcutaneous nodules in the right upper limb. The patient had a susceptibility to infection since childhood and a history of chronic livedo reticularis. Skin pathological examination revealed panniculitis. A comprehensive etiological screening for special infections and autoimmune diseases was completed with an unremarkable results, and whole-exome sequencing showed no abnormal findings. Following a multidisciplinary discussion combined with RNA sequencing results, the patient was diagnosed with an autoinflammatory disease, with a suspected type Ⅰ interferonopathy. Treatment with tofacitinib resulted in gradual improvement of clinical symptoms. This case highlights the importance of detailed medical history collection, systematic physical examination and multidisciplinary collaborative diagnosis and treatment, and underscores the pivotal role of molecular diagnosis in the confirmation of rare diseases. It can provide a reference for the clinical diagnosis and management of similar rare cases.
2.Development and multicenter validation of machine learning models for predicting postoperative pulmonary complications after neurosurgery.
Ming XU ; Wenhao ZHU ; Siyu HOU ; Hongzhi XU ; Jingwen XIA ; Liyu LIN ; Hao FU ; Mingyu YOU ; Jiafeng WANG ; Zhi XIE ; Xiaohong WEN ; Yingwei WANG
Chinese Medical Journal 2025;138(17):2170-2179
BACKGROUND:
Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery.
METHODS:
PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed.
RESULTS:
PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model.
CONCLUSIONS:
The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes.
TRIAL REGISTRATION
ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult
;
Aged
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Female
;
Humans
;
Male
;
Middle Aged
;
Algorithms
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Lung Diseases/etiology*
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Machine Learning
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Neurosurgical Procedures/adverse effects*
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Postoperative Complications/diagnosis*
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Risk Factors
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ROC Curve
3.Phase changes and quantity-quality transfer of raw material, calcined decoction pieces, and standard decoction of Ostreae Concha (Ostrea rivularis).
Hong-Yi ZHANG ; Jing-Wei ZHOU ; Jia-Wen LIU ; Wen-Bo FEI ; Shi-Ru HUANG ; Yu-Mei CHEN ; Chong-Yang LI ; Fei-Fei LI ; Qiao-Ling MA ; Fu WANG ; Yuan HU ; You-Ping LIU ; Shi-Lin CHEN ; Lin CHEN ; Hong-Ping CHEN
China Journal of Chinese Materia Medica 2025;50(5):1209-1223
The phase changes and quantity-quality transfer of 17 batches of Ostreae Concha(Ostrea rivularis) during the raw material-calcined decoction pieces-standard decoction process were analyzed. The content of calcium carbonate(CaCO_3), the main component, was determined by chemical titration, and the extract yield and transfer rate were calculated. The CaCO_3 content in the raw material, calcined decoction pieces, and standard decoction was 94.39%-98.80%, 95.03%-99.22%, and 84.58%-90.47%, respectively. The process of raw material to calcined decoction pieces showed the yield range of 96.85% to 98.55% and the CaCO_3 transfer rate range of 96.92% to 99.27%. The process of calcined decoction pieces to standard decoction showed the extract yield range of 2.86% to 5.48% and the CaCO_3 transfer rate range of 2.59% to 5.13%. The results of X-ray fluorescence(XRF) assay showed that the raw material, calcined decoction pieces, and standard decoction mainly contained Ca, Na, Mg, Si, Br, Cl, Al, Fe, Cr, Mn, and K. The chemometric results showed an increase in the relative content of Cr, Fe, and Si from raw material to calcined decoction pieces and an increase in the relative content of Mg, Al, Br, K, Cl, and Na from calcined decoction pieces to standard decoction. X-ray diffraction(XRD) was employed to establish XRD characteristic patterns of the raw material, calcined decoction pieces, and standard decoction. The XRD results showed that the main phase of all three was calcite, and no transformation of crystalline form or generation of new phase was observed. Fourier transform infrared spectroscopy(FTIR) was employed to establish the FTIR characteristic spectra of the raw material, calcined decoction pieces, and standard decoction. The FTIR results showed that the raw material had internal vibrations of O-H, C-H, C=O, C-O, and CO■ groups. Due to the loss of organic matter components after calcination, no information about the vibrations of C-H, C=O, and C-O groups was observed in the spectra of calcined decoction pieces and standard decoction. In summary, this study elucidated the quantity-quality transfer and phase changes in the raw material-calcined decoction pieces-standard decoction process by determining the CaCO_3 content, calculating the extract yield and transfer rate, and comparing the element changes, FTIR characteristic spectra, and XRD characteristic pattern. The results were reasonable and reliable, laying a foundation for the subsequent process research and quality control of the formula granules of calcined Ostreae Concha(O. rivularis Gould), and providing ideas and methods for the quality control of the whole process of raw material-decoction pieces-standard decoction-formula granules of Ostreae Concha and other testacean traditional Chinese medicine.
Drugs, Chinese Herbal/isolation & purification*
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Calcium Carbonate/analysis*
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Quality Control
4.A Health Economic Evaluation of an Artificial Intelligence-assisted Prescription Review System in a Real-world Setting in China.
Di WU ; Ying Peng QIU ; Li Wei SHI ; Ke Jun LIU ; Xue Qing TIAN ; Ping REN ; Mao YOU ; Jun Rui PEI ; Wen Qi FU ; Yue XIAO
Biomedical and Environmental Sciences 2025;38(3):385-388
5.Discussion on the Treatment of Lung Cancer by"Regulating Spirit and Invigorating Qi"Based on the View of"Chronic Stress-Tumor Immune Microenvironment"
Jinyu WEN ; Jiawei HE ; Chuan ZHENG ; Yang ZHONG ; Yuling JIANG ; Xi FU ; Fengming YOU ; Qiong MA
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(8):2244-2253
Chronic stress triggers the imbalance of the homeostasis of the tumor immune microenvironment(TIME),which is a key factor driving the development of lung cancer.Based on the mapping relationship between the concept of"spirit"in traditional Chinese medicine and chronic stress,and between"qi"and"immunity",it is believed that the cross-linking mechanism of"chronic stress-TIME-lung cancer"aligns with the understanding of traditional Chinese medicine of disease as involving the interplay between the"body,qi and spirit".The disorganization of"spirit"and"qi"is not only the root of the change of the"form",but also the key to prevent and control it.The treatment principle of synergizing to improve the chronic stress of"regulating the spirit"and remodeling the TIME of"invigorating the qi"is further proposed,which emphasizes on grasping the core pathogenesis of lung cancer at each stage of its evolution in order to administer medicines,drawing on the clinical experience and pharmacological research results in order to accurately hit the target,and combining special therapies like acupuncture,Chinese kungfu,sound therapy to treat the change of"shape"by modulating neuro-endocrine-immune network homeostasis,so as to provide new ideas and accessible solutions for the comprehensive prevention and treatment system of lung cancer.
6.Analysis of Clinical Characteristics and Risk Factors for Bone Lesions in Patients with Multiple Myeloma
Chen-Yang LI ; Qi-Ke ZHANG ; Xiao-Fang WEI ; You-Fan FENG ; Yuan FU ; Qiao-Lin CHEN ; Wen-Jie ZHANG ; Yuan-Yuan ZHANG ; Shao-Hua ZHANG ; Shang-Yi ZHANG ; Jie LIU
Journal of Experimental Hematology 2025;33(6):1635-1639
Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P<0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95%CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95%CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95%CI:4.761-14.151,P<0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95%CI:0.555-0.683,P<0.001)and bone pain(AUC=0.743,95%CI:0.692-0.793,P<0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.
7.Discussion on the Treatment of Lung Cancer by"Regulating Spirit and Invigorating Qi"Based on the View of"Chronic Stress-Tumor Immune Microenvironment"
Jinyu WEN ; Jiawei HE ; Chuan ZHENG ; Yang ZHONG ; Yuling JIANG ; Xi FU ; Fengming YOU ; Qiong MA
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(8):2244-2253
Chronic stress triggers the imbalance of the homeostasis of the tumor immune microenvironment(TIME),which is a key factor driving the development of lung cancer.Based on the mapping relationship between the concept of"spirit"in traditional Chinese medicine and chronic stress,and between"qi"and"immunity",it is believed that the cross-linking mechanism of"chronic stress-TIME-lung cancer"aligns with the understanding of traditional Chinese medicine of disease as involving the interplay between the"body,qi and spirit".The disorganization of"spirit"and"qi"is not only the root of the change of the"form",but also the key to prevent and control it.The treatment principle of synergizing to improve the chronic stress of"regulating the spirit"and remodeling the TIME of"invigorating the qi"is further proposed,which emphasizes on grasping the core pathogenesis of lung cancer at each stage of its evolution in order to administer medicines,drawing on the clinical experience and pharmacological research results in order to accurately hit the target,and combining special therapies like acupuncture,Chinese kungfu,sound therapy to treat the change of"shape"by modulating neuro-endocrine-immune network homeostasis,so as to provide new ideas and accessible solutions for the comprehensive prevention and treatment system of lung cancer.
8.Analysis of Clinical Characteristics and Risk Factors for Bone Lesions in Patients with Multiple Myeloma
Chen-Yang LI ; Qi-Ke ZHANG ; Xiao-Fang WEI ; You-Fan FENG ; Yuan FU ; Qiao-Lin CHEN ; Wen-Jie ZHANG ; Yuan-Yuan ZHANG ; Shao-Hua ZHANG ; Shang-Yi ZHANG ; Jie LIU
Journal of Experimental Hematology 2025;33(6):1635-1639
Objective:To investigate the clinical characteristics of patients with multiple myeloma(MM)complicated by bone lesions and the risk factors associated with bone lesions.Methods:The clinical data of 294 newly diagnosed MM patients in Gansu Provincial Hospital from January 2017 to June 2021 were retrospectively analyzed.The patients were divided into the bone lesion group(154 cases)and the non-bone lesions group(140 cases)based on the presence of absence of bone lesions at diagnosis.The general data and laboratory parameters were compared between the two groups.The risk factors for bone lesions in MM patients were analyzed by logistic regression analysis,and the characteristic(ROC)curves were plotted to assess the predictive value of each risk factor for the occurrence of bone lesions in MM patients.Results:Compared to the non-bone lesion group,the bone lesion group had significantly higher serum calcium levels and significantly greater proportions of patients with Durie-Salmon(DS)stage Ⅲ,and bone pain(all P<0.05).Logistic regression analysis showed that elevated serum calcium(OR=5.135,95%CI:1.931-13.653,P=0.001),DS stage Ⅲ(OR=1.841,95%CI:1.019-3.328,P=0.043),and bone pain(OR=8.208,95%CI:4.761-14.151,P<0.001)were independent risk factors for bone lesions in MM patients.ROC curve analysis showed that serum calcium(AUC=0.619,95%CI:0.555-0.683,P<0.001)and bone pain(AUC=0.743,95%CI:0.692-0.793,P<0.001)had predictive value for bone lesions in MM patients.Conclusion:MM patients have a high incidence of bone lesions,and active monitoring and management of risk factors may improve treatment outcomes and prognosis.
9.Construction and characterization of lpxC deletion strain based on CRISPR/Cas9 in Acinetobacter baumannii
Zong-ti SUN ; You-wen ZHANG ; Hai-bin LI ; Xiu-kun WANG ; Jie YU ; Jin-ru XIE ; Peng-bo PANG ; Xin-xin HU ; Tong-ying NIE ; Xi LU ; Jing PANG ; Lei HOU ; Xin-yi YANG ; Cong-ran LI ; Lang SUN ; Xue-fu YOU
Acta Pharmaceutica Sinica 2024;59(5):1286-1294
Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria,
10.Clinical Characteristics and Prognosis of Patients with Primary Bone Marrow Lymphoma
Qiao-Lin CHEN ; You-Fan FENG ; Yuan FU ; Fei LIU ; Wen-Jie ZHANG ; Yang CHEN ; Xiao-Fang WEI ; Qi-Ke ZHANG
Journal of Experimental Hematology 2024;32(4):1117-1120
Objective:To investigate the clinical characteristics and prognosis of primary bone marrow lymphoma.Methods:The clinical data of 6 patients with primary bone marrow lymphoma admitted to Gansu Provincial People's Hospital from February 2011 to March 2023 were collected,and their clinical characteristics and prognosis were retrospectively analyzed and summarized.Results:The median age of 6 patients was 61(52-74)years old.There were 2 males and 4 females.All patients had fever and abnormal blood routine examination.Physical examination and imaging examination showed no lymphadenopathy,no extranodal lesions in lung,gastrointestinal,liver and spleen,skin,etc.After strict exclusion of systemic lymphoma involvement in the bone marrow,the diagnosis was confirmed by bone marrow examination,5 cases were primary myeloid diffuse large B-cell lymphoma and 1 case was primary myeloid peripheral T-cell lymphoma(NOS).1 case abandoned treatment,5 cases received CHOP-like or combined R regimen,including 1 case of autologous stem cell transplantation.4 cases died and 2 case survived.The median OS was 5.5(1-36)months.Conclusion:The prognosis of primary marrow lymphoma is poor,and bone marrow-related examination is an important means of diagnosis.Diffuse large B-cell lymphoma is the most common histomorphologic and immune subtype,and autologous hematopoietic stem cell transplantation may improve the prognosis.

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