Lung cancer， with persistently high incidence and mortality rates， remains a significant global health challenge. By taking the study on the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School as an example， the diagnosis and treatment system for lung cancer with phlegm-dampness and blood stasis syndrome， which was formed in response to the humid and foggy environment of the Sichuan Basin， possesses unique value. However， traditional inheritance modes face challenges such as fragmentation， lack of standardization， and insufficient quantification， which hinder the promotion and application of this experience. This research focused on how to leverage multimodal data and artificial intelligence-generated content （AIGC） to achieve precise analysis， intelligent inheritance， and clinical innovation of the experience in diagnosis and treatment of lung cancer with phlegm-dampness and blood stasis syndrome by distinguished traditional Chinese medicine physicians of the Sichuan School. By integrating multimodal data （encompassing four diagnostic methods of traditional Chinese medicine， modern medical imaging， clinical laboratory tests， molecular biology， and regional environmental information）， a precise diagnosis and treatment system integrating macro and micro perspectives for the "disease， syndrome， and pathogenesis" was constructed. The research yielded the following results： （1） In precise syndrome differentiation， the objective quantification of the phlegm-dampness and blood stasis syndrome was achieved. By constructing a "four diagnostic methods， imaging， and molecule" correlation model， the study revealed intrinsic links between tongue and pulse parameters and the tumor microenvironment， as well as between regional climatic factors and syndrome characteristics， enabling real-time dynamic monitoring of efficacy. （2） In elucidating patterns， the study systematically explored the syndrome differentiation thoughts of Sichuan School physicians， such as the timing of purgation and tonification. A "pathogenesis， syndrome complex， and prescriptions and herb" network model was constructed， which accurately elucidated the synergistic action mechanisms of core herb pairs and quantified the dynamic compatibility patterns of reinforcing healthy Qi and eliminating pathogenic factors. （3） In intelligent empowerment， an auxiliary system integrating intelligent syndrome differentiation， treatment plan generation， and efficacy evaluation was built. This system can fuse regional characteristics with individual data， dynamically generate and optimize personalized prescriptions aligned with the experience of Sichuan School， and predict efficacy trends and potential adverse reactions. The integration of multimodal data and AIGC can effectively facilitate the structured inheritance and clinical translation of distinguished physicians' experience. The established intelligent diagnosis and treatment model integrating traditional Chinese medicine and Western medicine demonstrates clear potential in prolonging patients' progression-free survival， alleviating symptoms， and reducing adverse reactions to treatment. This study provides a referential methodological framework for the traditional Chinese medicine experience in diagnosis and treatment of lung cancer， especially the empirical inheritance and modernized development of regional academic schools. It contributes to advancing clinical diagnosis and treatment toward greater precision and personalization.

Objective To investigate the correlation between G protein-coupled receptor family C group 6 member A(GPRC6A)gene polymorphisms and their expression and pulmonary infections in elderly patients with chronic heart failure(CHF).Methods 138 elderly CHF patients admitted to the Xianyang First People's Hospital from January 2021 to January 2024 were selected as the research subjects,and were divided into an infected group(n=42)and an uninfected group(n=96)based on their lung infection status.Polymerase chain reaction(PCR)was used to detect polymorphisms at the rs6901250 and rs1606365 loci of the GPRC6A gene.The allele and genotype frequency distributions of the infected and uninfected groups were compared.Logistic regression modeling was used to analyze the s6901250 and rs1606365 loci under three genetic models(co-dominant,dominant and reces-sive)and lung infections in elderly patients with CHF.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of GPRC6A gene.The predictive value of the mRNA expression level of the GPRC6A gene for the development of pulmonary infections in elderly patients with CHF was analyzed by applying the receiver operator characteristic(ROC)curve.Results The distribution of genotypes at loci rs6901250 and rs1606365 of the GPRC6A gene in both the infected and uninfected groups of the lungs of elderly CHF patients conformed to the Hardy-Weinberg equilibrium law(χ2=0.199～0.376,all P>0.05),which was representative of the population.Compared with the uninfected group,the frequency of allele A at locus rs6901250(57.14%vs 41.67%)was significantly higher in the infected group,Allele G(54.76%vs.37.50%)and genotype GG(14.06%vs 29.99%)frequencies were significantly higher at locus rs1606365,and the differences were statistically significant(χ2=5.628,7.114,6.849,all P<0.05).At locus rs6901250,in the co-dominant model(GG vs AA)and the dominant model(GA+AA vs GG),the elderly CHF patients with AA genotype the risk of lung infection was higher than that of GG genotype(OR=1.753,1.546,all P<0.05);.rs1606365 locus showed that the risk of lung infection was higher than that of CC genotype in el-derly CHF patients with GG genotype under all three genetic models of co-dominant model(CC vs GG),dominant model(CG+GG vs CC)and recessive model(CG+CC vs GG)(OR=1.833,1.741,0.695,all P<0.05).The mRNA expression level of GPR-C6A gene in the lung-infected group of elderly CHF patients(1.43±0.35)was significantly higher than that in the uninfected group(1.02±0.21),and the difference was statistically significant(t=8.515,P<0.001).The results of the ROC curve analysis showed that the GPRC6A gene expression level predicted lung infection in elderly CHF patients with an AUC value of 0.895,a cut-offvalue of 1.37,and sensitivity and specificity of 85.7%and 66.7%,respectively.Conclusion The AA genotype at the rs6901250 locus and the GG genotype at the rs1606365 locus of the GPRC6A gene increased the risk of developing lung infec-tions in elderly patients with CHF.MRNA expression levels of the GPRC6A gene were elevated in the infected group,and its ex-pression level could be used as a predictive indicator for the development of lung infections in elderly patients with CHF.

Objective To investigate the correlation between G protein-coupled receptor family C group 6 member A(GPRC6A)gene polymorphisms and their expression and pulmonary infections in elderly patients with chronic heart failure(CHF).Methods 138 elderly CHF patients admitted to the Xianyang First People's Hospital from January 2021 to January 2024 were selected as the research subjects,and were divided into an infected group(n=42)and an uninfected group(n=96)based on their lung infection status.Polymerase chain reaction(PCR)was used to detect polymorphisms at the rs6901250 and rs1606365 loci of the GPRC6A gene.The allele and genotype frequency distributions of the infected and uninfected groups were compared.Logistic regression modeling was used to analyze the s6901250 and rs1606365 loci under three genetic models(co-dominant,dominant and reces-sive)and lung infections in elderly patients with CHF.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of GPRC6A gene.The predictive value of the mRNA expression level of the GPRC6A gene for the development of pulmonary infections in elderly patients with CHF was analyzed by applying the receiver operator characteristic(ROC)curve.Results The distribution of genotypes at loci rs6901250 and rs1606365 of the GPRC6A gene in both the infected and uninfected groups of the lungs of elderly CHF patients conformed to the Hardy-Weinberg equilibrium law(χ2=0.199～0.376,all P>0.05),which was representative of the population.Compared with the uninfected group,the frequency of allele A at locus rs6901250(57.14%vs 41.67%)was significantly higher in the infected group,Allele G(54.76%vs.37.50%)and genotype GG(14.06%vs 29.99%)frequencies were significantly higher at locus rs1606365,and the differences were statistically significant(χ2=5.628,7.114,6.849,all P<0.05).At locus rs6901250,in the co-dominant model(GG vs AA)and the dominant model(GA+AA vs GG),the elderly CHF patients with AA genotype the risk of lung infection was higher than that of GG genotype(OR=1.753,1.546,all P<0.05);.rs1606365 locus showed that the risk of lung infection was higher than that of CC genotype in el-derly CHF patients with GG genotype under all three genetic models of co-dominant model(CC vs GG),dominant model(CG+GG vs CC)and recessive model(CG+CC vs GG)(OR=1.833,1.741,0.695,all P<0.05).The mRNA expression level of GPR-C6A gene in the lung-infected group of elderly CHF patients(1.43±0.35)was significantly higher than that in the uninfected group(1.02±0.21),and the difference was statistically significant(t=8.515,P<0.001).The results of the ROC curve analysis showed that the GPRC6A gene expression level predicted lung infection in elderly CHF patients with an AUC value of 0.895,a cut-offvalue of 1.37,and sensitivity and specificity of 85.7%and 66.7%,respectively.Conclusion The AA genotype at the rs6901250 locus and the GG genotype at the rs1606365 locus of the GPRC6A gene increased the risk of developing lung infec-tions in elderly patients with CHF.MRNA expression levels of the GPRC6A gene were elevated in the infected group,and its ex-pression level could be used as a predictive indicator for the development of lung infections in elderly patients with CHF.

Objective:To explore the differences in early clinical features between Kawasaki disease shock syndrome (KDSS) and septic shock (SS).Methods:A retrospective case-control study was conducted. Clinical data was collected from 64 children who were diagnosed with KDSS or SS and admitted to the Department of Critical Care Medicine of Capital Center for Children′s Health, Capital Medical University from January 2018 to February 2025. Mann-Whitney U test, χ2 test, or Fisher′s exact test were used to compare the differences in clinical features, treatment, and outcomes between children with KDSS and SS. Lasso regression was applied to screen predictive variables, and multivariable logistic regression analysis was performed to identify factors associated with KDSS. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of parameters for KDSS. Results:Among the 64 children (30 males and 34 females), the age was 3.6 (1.2, 6.5) years. There were 51 cases in the SS group and 13 cases in the KDSS group. Compared to children with SS, children with KDSS had a longer pre-shock fever duration, lower lactate levels and serum albumin levels, and higher soluble interleukin-2 receptor (sIL-2R) levels (all P<0.05). Additionally, they exhibited a higher incidence of coronary involvement, pericardial effusion, and ascites, a higher utilization rate of intravenous immunoglobulin, and a lower utilization rate of invasive mechanical ventilation (all P<0.05). There was no significant difference in in-hospital mortality between KDSS and SS ( P=0.574). Multivariate logistic regression analysis identified pre-shock fever duration and sIL-2R as independent factors associated with KDSS ( OR=1.52 and 1.54 per 1 000 U increase, 95% CI 1.12-2.05 and 1.06-2.24, respectively; both P<0.05). ROC curve analysis showed that the areas under the curve for pre-shock fever duration and sIL-2R in identifying KDSS were 0.83 (95% CI 0.73-0.94, P=0.001) and 0.70 (95% CI 0.53-0.87, P=0.042), respectively. The optimal cutoff values were 3.5 d and 3.8×10 6 U/L, with sensitivities of 0.91 and 0.82, and specificities of 0.71 and 0.62, respectively. Conclusions:Children with KDSS have higher incidences of coronary involvement, pericardial effusion, and ascites compared to those with SS. Pre-shock fever duration and sIL-2R may serve as potential early indicators for distinguishing KDSS from SS.

Objective:To explore the differences in early clinical features between Kawasaki disease shock syndrome (KDSS) and septic shock (SS).Methods:A retrospective case-control study was conducted. Clinical data was collected from 64 children who were diagnosed with KDSS or SS and admitted to the Department of Critical Care Medicine of Capital Center for Children′s Health, Capital Medical University from January 2018 to February 2025. Mann-Whitney U test, χ2 test, or Fisher′s exact test were used to compare the differences in clinical features, treatment, and outcomes between children with KDSS and SS. Lasso regression was applied to screen predictive variables, and multivariable logistic regression analysis was performed to identify factors associated with KDSS. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of parameters for KDSS. Results:Among the 64 children (30 males and 34 females), the age was 3.6 (1.2, 6.5) years. There were 51 cases in the SS group and 13 cases in the KDSS group. Compared to children with SS, children with KDSS had a longer pre-shock fever duration, lower lactate levels and serum albumin levels, and higher soluble interleukin-2 receptor (sIL-2R) levels (all P<0.05). Additionally, they exhibited a higher incidence of coronary involvement, pericardial effusion, and ascites, a higher utilization rate of intravenous immunoglobulin, and a lower utilization rate of invasive mechanical ventilation (all P<0.05). There was no significant difference in in-hospital mortality between KDSS and SS ( P=0.574). Multivariate logistic regression analysis identified pre-shock fever duration and sIL-2R as independent factors associated with KDSS ( OR=1.52 and 1.54 per 1 000 U increase, 95% CI 1.12-2.05 and 1.06-2.24, respectively; both P<0.05). ROC curve analysis showed that the areas under the curve for pre-shock fever duration and sIL-2R in identifying KDSS were 0.83 (95% CI 0.73-0.94, P=0.001) and 0.70 (95% CI 0.53-0.87, P=0.042), respectively. The optimal cutoff values were 3.5 d and 3.8×10 6 U/L, with sensitivities of 0.91 and 0.82, and specificities of 0.71 and 0.62, respectively. Conclusions:Children with KDSS have higher incidences of coronary involvement, pericardial effusion, and ascites compared to those with SS. Pre-shock fever duration and sIL-2R may serve as potential early indicators for distinguishing KDSS from SS.

Objective:To analyze the disease burden of Parkinson's disease (PD) in China from 1990 to 2021 and predict the disease burden of PD from 2022 to 2030.Methods:Based on the data of PD incidence in China from the Global Burden of Disease Study 2021 (GBD 2021), changes in PD disease burden from 1990 to 2021 were analyzed. Age-period-cohort model was used to analyze the independent influences of age, period and cohort in PD incidence (according to age group of 5 years, patients were divided into 15 groups: group of 20-24 years, group of 25-29 years..., and group of 90-94 years; according to a 5-year period, patients were divided into 6 groups: group of 1992-1996, group of 1997-2001..., and group of 2017-2021; because of birth cohort=period-age, patients were divided into 20 birth cohorts: birth cohort of 1897-1906, birth cohort of 1902-1911..., and birth cohort of 1992-2001). Nordpred model was used to predict the disease burden of PD from 2022 to 2030.Results:(1) From 1990 to 2021, number of PD patients, and PD incidence and standardized incidence in China showed upward trends. The standardized incidence increased by 89.68% for the total population, 89.71% for males, and 77.64% for females. (2) PD incidence was low in young subjects and increased obviously in subjects aged 60 years. PD incidence in subjects aged 20-24 years or 90-94 years was 0.07/100 000 and 643.31/100 000, respectively. Compared with female subjects, male subjects aged 60-94 years had higher PD incidence. (3) The onset relative risk increased from 0.71 (95% CI: 0.69-0.73) in group of 1992-1996 to 1.17 (95% CI: 1.16-1.19) in group of 2017-2021 in the total population, increased from 0.68 (95% CI: 0.66-0.70) to 1.18 (95% CI: 1.16-1.21) in males, and increased from 0.75 (95% CI: 0.73-0.77) to 1.14 (95% CI: 1.12-1.16) in females. (4) Onset relative risk was 0.40 (95% CI: 0.33-0.48) in the earliest birth cohort (1897-1906), which increased to 1.81 (95% CI: 0.95-3.43) in the latest birth cohort (1992-2001). (5) Number of PD patients in males, females and total population in China would increase to 455 010, 301 173 and 756 183, respectively, and the standardized incidence would increase to 56.45/100 000, 32.28/100 000 and 43.40/100 000, respectively, till 2030. Conclusion:PD disease burden in China from 1990 to 2021 is severe, particularly among males and the elderly; the disease burden is projected to continue rising up till 2030.

OBJECTIVE To quantitatively evaluate the “dual channel” management policy of national medical insurance negotiation drugs at the provincial level， analyze the shortcomings and excellent experience and provide reference for the optimization of the policy. METHODS Taking the “double-channel” management policy of national medical insurance negotiation drugs in 31 provinces as the research object， text mining method was used to summarize the key contents of the policy； the policy modeling consistency （PMC） index model is constructed， and the “dual channel” management policies of 31 provinces are quantitatively analyzed through the evaluation model. Taking Beijing and Chongqing as examples， the differences between good policies and acceptable policies are compared. RESULTS Among the 31 provinces， the PMC index of 18 provinces is between 6.00 and ＜8.00， which belongs to the excellent policies. The PMC index of 13 provinces is between 4.00 and ＜6.00， which belongs to acceptable policies. The policies of Beijing and Chongqing are consistent in 5 aspects， such as policy nature and policy effectiveness， while there are differences in 4 aspects， such as policy content and policy audience. CONCLUSION The “dual channel” management policies in most provinces are at a relatively perfect level， and some provinces need to continuously optimize the policy design and improve the policy rules according to the actual situation of their own medical and health development； establish the management mode of designated pharmacies， clarify the selection rules and exit mechanism； pay attention to the construction of pharmaceutical care， and promote the outflow of prescriptions.

BACKGROUND:Existing neuroimaging techniques,including magnetic resonance imaging,computed tomography,and high-resolution ultrasound,lack the capability to provide real-time intraoperative positioning images to surgeons.However,the clinical implementation of near-infrared fluorescence imaging technology has made it possible to directly visualize surgical target areas,offering a novel solution for real-time nerve identification during surgery. OBJECTIVE:To provide a summary and overview of the research progress in near-infrared fluorescence imaging technology for intraoperative neuroimaging. METHODS:The first author used the computer to search for the documents published from January 2010 to July 2023 in WanFang,CNKI,and PubMed with the key words of"near-infrared fluorescence imaging,optical imaging,nerve imaging"in Chinese and English.A few classic old documents were also included.Initial screening was performed by reading the titles and abstracts;duplicate,low-quality,and irrelevant content documents were excluded.A total of 69 articles were finally included for review. RESULTS AND CONCLUSION:Near-infrared fluorescence imaging guided by indocyanine green has been clinically used to identify and locate tubular organs such as blood vessels,ureters,and bile ducts,as well as various tumors during surgery.This technique is currently considered a well-established imaging method in precision surgery.In the field of intraoperative neurofluorescence imaging,indocyanine green is currently the only near-infrared fluorescent dye used in clinical research.The ideal neuroimaging agent should possess certain characteristics,including easy administration in the perioperative period,logD between 0.5 and 3 at pH=7.4,molecular mass below 500 Da,excitation and emission wavelengths within the near-infrared window,long-term retention in nerve tissue,high signal-to-background ratio,and high safety.In the future,the development of near-infrared neurofluorescence imaging agents should focus on synthesizing complexes of indocyanine green and neural-specific targets.This technology not only enables intraoperative neurofluorescence imaging,but also holds promising prospects for in-situ monitoring of nerve regeneration and diagnosis of neurological diseases.

Objective:To analyze the disease burden of Parkinson's disease (PD) in China from 1990 to 2021 and predict the disease burden of PD from 2022 to 2030.Methods:Based on the data of PD incidence in China from the Global Burden of Disease Study 2021 (GBD 2021), changes in PD disease burden from 1990 to 2021 were analyzed. Age-period-cohort model was used to analyze the independent influences of age, period and cohort in PD incidence (according to age group of 5 years, patients were divided into 15 groups: group of 20-24 years, group of 25-29 years..., and group of 90-94 years; according to a 5-year period, patients were divided into 6 groups: group of 1992-1996, group of 1997-2001..., and group of 2017-2021; because of birth cohort=period-age, patients were divided into 20 birth cohorts: birth cohort of 1897-1906, birth cohort of 1902-1911..., and birth cohort of 1992-2001). Nordpred model was used to predict the disease burden of PD from 2022 to 2030.Results:(1) From 1990 to 2021, number of PD patients, and PD incidence and standardized incidence in China showed upward trends. The standardized incidence increased by 89.68% for the total population, 89.71% for males, and 77.64% for females. (2) PD incidence was low in young subjects and increased obviously in subjects aged 60 years. PD incidence in subjects aged 20-24 years or 90-94 years was 0.07/100 000 and 643.31/100 000, respectively. Compared with female subjects, male subjects aged 60-94 years had higher PD incidence. (3) The onset relative risk increased from 0.71 (95% CI: 0.69-0.73) in group of 1992-1996 to 1.17 (95% CI: 1.16-1.19) in group of 2017-2021 in the total population, increased from 0.68 (95% CI: 0.66-0.70) to 1.18 (95% CI: 1.16-1.21) in males, and increased from 0.75 (95% CI: 0.73-0.77) to 1.14 (95% CI: 1.12-1.16) in females. (4) Onset relative risk was 0.40 (95% CI: 0.33-0.48) in the earliest birth cohort (1897-1906), which increased to 1.81 (95% CI: 0.95-3.43) in the latest birth cohort (1992-2001). (5) Number of PD patients in males, females and total population in China would increase to 455 010, 301 173 and 756 183, respectively, and the standardized incidence would increase to 56.45/100 000, 32.28/100 000 and 43.40/100 000, respectively, till 2030. Conclusion:PD disease burden in China from 1990 to 2021 is severe, particularly among males and the elderly; the disease burden is projected to continue rising up till 2030.

Objective:To explore the predictive value of HACOR score [heart rate (H), acidosis (A), consciousness (C), oxygenation (O), and respiratory rate (R)] on the clinical outcome of non-invasive positive pressure ventilation in patients with pulmonary encephalopathy due to chronic obstructive pulmonary disease (COPD).Methods:A prospective study was conducted. The patients with COPD combined with pulmonary encephalopathy who were admitted to Henan Provincial People's Hospital from January 1, 2017 to June 1, 2021 and initially received non-invasive positive pressure ventilation were enrolled. Besides non-invasive positive pressure ventilation, standard medical treatments were delivered to these patients according to guidelines. The need for endotracheal intubation was judged as failure of non-invasive ventilation treatment. Early failure was defined as the need for endotracheal intubation within 48 hours of treatment, and late failure was defined as the need for endotracheal intubation 48 hours and later. The HACOR score at different time points after non-invasive ventilation, the length of intensive care unit (ICU) stay, the total length of hospital stay, and the clinical outcome were recorded. The above indexes of patients with non-invasive ventilation were compared between successful and failed groups. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive effect of HACOR score on the failure of non-invasive positive pressure ventilation in the treatment of COPD with pulmonary encephalopathy.Results:A total of 630 patients were evaluated, and 51 patients were enrolled, including 42 males (82.35%) and 9 females (17.65%), with a median age of 70.0 (62.0, 78.0) years old. Among the 51 patients, 36 patients (70.59%) were successfully treated with non-invasive ventilation and discharged from the hospital eventually, and 15 patients (29.41%) failed and switched to invasive ventilation, of which 10 patients (19.61%) were defined early failure, 5 patients (9.80%) were late failure. The length of ICU and the total length of hospital stay of the non-invasive ventilation successful group were significantly longer than those of the non-invasive ventilation failure group [length of ICU stay (days): 13.0 (10.0, 16.0) vs. 5.0 (3.0, 8.0), total length of hospital stay (days): 23.0 (12.0, 28.0) vs. 12.0 (9.0, 15.0), both P < 0.01]. The HACOR score of patients at 1-2 hours in the non-invasive ventilation failure group was significantly higher than that in the successful group [10.47 (6.00, 16.00) vs. 6.00 (3.25, 8.00), P < 0.05]. However, there was no significant difference in HACOR score before non-invasive ventilation and at 3-6 hours between the two groups. The ROC curve showed that the area under the ROC curve (AUC) of 1-2 hour HACOR score after non-invasive ventilation for predicting non-invasive ventilation failure in COPD patients with pulmonary encephalopathy was 0.686, and the 95% confidence interval (95% CI) was 0.504-0.868. When the best cut-off value was 10.50, the sensitivity was 60.03%, the specificity was 86.10%, positive predictive value was 91.23%, and negative predictive value was 47.21%. Conclusions:Non-invasive positive pressure ventilation could prevent 70.59% of COPD patients with pulmonary encephalopathy from intubation. HACOR score was valuable to predict non-invasive positive pressure ventilation failure in pulmonary encephalopathy patients due to COPD.