ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

ObjectiveTo investigate the potential mechanism of action of the Qufeng Tongqiao Cough-relieving Decoction （祛风通窍止咳方， QTCD） in the treatment of upper airway cough syndrome （UACS）. MethodsTwenty-four guinea pigs were randomly divided into blank group， model group， traditional Chinese medicine （TCM） group， and inhibitor group， with six guinea pigs in each group. Except for the blank group， guinea pigs were sensitized with ovalbumin and aluminum hydroxide via intraperitoneal injection， followed by ovalbumin nasal drops combined with smoke exposure to establish the UACS model. After modeling， the TCM group was administered QTCD 0.9 g/（100 g·d） by gavage， the inhibitor group received the transient receptor potential vanilloid receptor 4 （TRPV4） inhibitor GSK2193874 1 mmol/L， 5 min by nebulisation， and the blank group and model group were given 2 ml/（100 g·d） normal saline by gavage once daily. After 7 days of treatment， a cough provocation test was performed using 0.4 mol/L citric acid. The levels of IgE in serum and inflammatory cytokines， including interleukin-6 （IL-6）， interleukin-8 （IL-8） in serum， bronchoalveolar lavage fluid （BALF）， and nasal lavage fluid （NLF） were detected by enzyme-linked immunosorbent assay （ELISA）. Histopathological changes in lung and nasal mucosal tissues were observed by hematoxylin-eosin （HE） staining. Immunohistochemistry was used to detect the protein levels of TRPV4， substance P （SP）， and calcitonin gene-related peptide （CGRP） in lung and nasal mucosal tissues. Real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRPV4， SP， and CGRP in lung tissues. ResultsHE staining showed significant structural damage and infiltration of inflammatory cells in the lung and nasal mucosal tissues in the model group， while the TCM group and inhibitor group showed improved pathological changes. Compared with the blank group， the model group showed increased cough frequency， serum IgE level， and IL-6 and IL-8 levels in serum， BALF， and NLF. The protein levels of TRPV4， SP， and CGRP in lung and nasal mucosal tissues and their mRNA expression were elevated （P＜0.05 or P＜0.01）. Compared with the model group， the TCM group and inhibitor group showed reduced cough frequency， serum IgE level， and TRPV4 and SP mRNA expression in lung tissues. The TCM group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， and reduced TRPV4 and CGRP protein levels in lung and nasal mucosal tissues. The inhibitor group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， reduced IL-6 in BALF， reduced IL-8 in NLF， and decreased TRPV4， SP， and CGRP protein levels in lung tissues and SP and CGRP protein levels in nasal mucosal tissues （P＜0.05 or P＜0.01）. Compared with the TCM group， the inhibitor group had increased serum IgE， IL-6， and IL-8 levels， increased IL-6 level in BALF， and increased IL-8 levle in NLF， but decreased SP protein level in lung tissues and increased TRPV4 and SP mRNA expression in lung tissues （P＜0.01）. ConclusionQTCD effectively reduces cough frequency in the UACS guinea pig model. Its mechanism may involve inhibiting the activation of the TRPV4 pathway， improving airway neurogenic inflammation， alleviating inflammatory responses， and reducing cough hypersensitivity.

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 13^th， 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.

Objective To observe the clinical effect of traditional Chinese medicine bone-setting technique using spinal,pelvi-lower extremity line to treat patients with knee osteoarthritis(KOA).Methods 426 patients with KOA were all from the First Affiliated Hospital of Hebei University of Traditional Chinese Medicine.They were randomly divided into experimental group(384 cases,57 cases of elimination,shedding and termination)by computer generated sequence.Traditional Chinese bone setting techniques were applied with spinal-pelvic-lower limb force line(divided into three parts:lumbar fixed point reduction method,hip joint push-pull and extension method and knee peripheral tendon recovery method every 3 days.2 weeks)treatment;The control group was the waiting treatment group(48 cases,6 cases were eliminated,abscission,termination),which was only used for clinical observation for 2 weeks.The main outcome index was WOMAC pain score.Secondary outcome measures were WOMAC stiffness score,functional score,standardized score and quality of life score(SF-12).The test time points were baseline,2 weeks after enrollment,and follow-up(14 weeks after enrollment).The control group was at baseline and 2 weeks after enrollment.Results Compared with baseline,WOMAC pain score,stiffness score,functional score and standardized score were all decreased in 2 groups 2 weeks after enrollment(P<0.05),but the experimental group was significantly decreased compared with the control group(P<0.001).SF-12 quality of life scores were all higher than before(P<0.001),but the experimental group was significantly higher than the control group(P<0.001).At follow-up,compared with 2 weeks after enrollment,WOMAC pain scores were increased(P<0.001),WOMAC stiffness,joint function and standardized scores were decreased(P<0.001),and SF-12 scores were increased(P<0.001).Conclusion The use of spinal-pelvi-lower extremity line of traditional Chinese medicine bone-setting technique in the treatment of KOA is effective in improving the knee joint function and improving the quality of life of patients,but the short-term effect of pain relief is good,and the long-term effect is not good.Its safety is good,and it can be considered in clinical application for KOA patients with joint dysfunction as the main manifestation.

Objective:To compare the application effects of electric impedance tomography (EIT)-guided positive end-expiratory pressure conventional PEEP and PEEP-fraction of inspired oxygen (FiO 2) table-guided PEEP in the mechanical ventilation of patients with traumatic brain injury (TBI) complicated with acute respiratory distress syndrome (ARDS). Methods:A retrospective cohort study was conducted on the clinical data of 80 TBI patients complicated with ARDS admitted to Zhengzhou Central Hospital Affiliated to Zhengzhou University from July 2020 to December 2022, including 42 males and 38 females, aged 29-59 years [(42.4±7.8)years]. The Glasgow coma scale (GCS) scores were 3-12 points [(7.7±2.2)points]. According to ARDS classification, 33 were mild, 26 moderate and 21 severe. All the patients were treated with mechanical ventilation according to lung protective ventilation strategy, including 42 patients treated with EIT-guided PEEP (EIT group) and 38 treated with conventional PEEP-FiO 2 table-guided PEEP (conventional group). At 12 hours, 1, 3 and 5 days after ventilation, the optimal PEEP, respiratory mechanics [driving pressure (ΔP), static compliance (C St), mechanical power (MP)], pulmonary gas exchange [arterial blood pH value, arterial partial pressure of carbon dioxide (PaCO 2), oxygenation index (P/F)], ventilation distribution [heterogeneity index (GI), regions of interest (ROI)1-4], hemodynamics [heart rate (HR), central venous pressure (CVP), mean arterial pressure (MAP)], cerebral perfusion status [intracranial pressure (ICP), regional cerebral oxygen saturation (rScO 2) grading], and treatment outcomes (mechanical ventilation duration, incidence of ventilator-induced lung injury (VILI), length of ICU stay, 6-month survival rate) separately at their optimal PEEP were compared between the two groups. Results:All the patients were followed up for 6 months. The optimal PEEP of the EIT group was (7.4±1.0)cm, (8.2±1.2)cm, (9.8±0.8)cm and (8.4±0.7)cm respectively at 12 hours, 1, 3 and 5 days after mechanical ventilation, which were higher than (7.0±1.0)cm, (7.6±1.0)cm, (9.0±0.6)cm and (7.2±0.5)cm of the conventional group ( P<0.05 or 0.01). At their optimal PEEP separately, at 12 hours, 1, 3 and 5 days after treatment, the ΔP of the EIT group was (7.1±1.3)cmH 2O, (7.7±1.3)cmH 2O, (9.5±1.1)cmH 2O and (6.1±1.3)cmH 2O respectively, which were all lower than (8.9±1.3)cmH 2O, (10.5±1.3)cmH 2O, (11.2±1.2)cmH 2O and (8.7±1.2)cmH 2O of the conventional group respectively ( P<0.05 or 0.01); the C St of the EIT group was (51.5±4.2)ml/cmH 2O, (52.9±4.6)ml/cmH 2O, (55.1±4.3)ml/cmH 2O and (57.5±3.6)ml/cmH 2O, which were all higher than (46.8±3.9)ml/cmH 2O, (47.6±4.4)ml/cmH 2O, (49.9±4.3)ml/cmH 2O and (53.3±3.6)ml/cmH 2O of the conventional group respectively ( P<0.05); the MP of the EIT group was (7.9±1.8)J/min, (8.8±1.3)J/min, (10.6±1.3)J/min and (7.8±0.9)J/min, which were lower than (8.6±1.5)J/min, (9.5±1.0)J/min, (12.2±1.8)J/min and (8.6±0.9)J/min of the conventional group respectively ( P<0.05 or 0.01); the P/F of the EIT group was (207.1±7.1)mmHg, (213.1±6.9)mmHg, (239.3±13.1)mmHg and (255.5±11.8)mmHg, which were all higher than (179.6±7.2)mmHg, (187.8±9.6)mmHg, (212.8±9.6)mmHg and (228.1±12.3)mmHg of the conventional group respectively ( P<0.05 or 0.01); the GI of the EIT group were 0.381±0.013, 0.387±0.012, 0.392±0.010 and 0.395±0.010, lower than 0.403±0.005, 0.406±0.005, 0.409±0.005 and 0.411±0.004 of traditional group respectively ( P<0.01); there were no significant differences in the arterial blood pH value, PaCO 2, ROI1-4, HR, CVP, MAP, ICP, or rScO 2 grading between the two groups (P>0.05). The ventilation duration of the EIT group was (78.5±9.0)hours, which was shorter than (83.1±7.4)hours of the conventional group ( P<0.05). The incidence of VILI was 0.0% (0/42) in the EIT group, which was lower than 7.8% (3/38) in the conventional group ( P<0.05). There were no significant differences in the ICU stay or 6-month survival rate between the two groups ( P>0.05). Conclusions:In mechanical ventilation treatment of TBI complicated with ARDS, the optimal PEEP guided by EIT was higher than that guided by PEEP-FiO 2 table. At this optimal PEEP, the respiratory mechanics and oxygen supply of the patients can be improved more effectively, making regional lung ventilation more uniform, reducing the mechanical ventilation time and decreasing the incidence of VILI without affecting their hemodynamics and brain perfusion.

To summarize the nursing care of a very low birth weight premature infant with severe type Ⅱbronchopulmonary dysplasia(BPD)during the transition period from hospitalization to home.The care of the infant was provided one-on-one by a BPD specialist nurse throughout the period.The key points of transitional care from hospitalization to home include:implementing tracheotomy and mechanical ventilation care to ensure stable blood oxygen saturation of the infant;providing nutritional support to improve the nutritional status of the infant;implementing step-by-step rehabilitation measures to improve the neuromotor development of the infant;implementing family integrated care to promote the primary caregivers of the infant to master nursing knowledge and skills;conducting personalized discharge follow-up with a multidisciplinary team to improve the quality of home care for this infant.After being hospitalized for 106 days,the infant was successfully discharged with a tracheotomy tube.At the age of 2 years and 6 months,a tracheotomy closure surgery was performed.After the surgery,the infant was able to breathe autonomously without symptoms of breathing difficulties and returned to normal family life.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.