The clinical practice guidelines of traditional Chinese medicine （TCM） have problems such as limited clinical application and unclear implementation effects， which may be related to the lack of clinical practice evidence. To provide reliable and precise evidence for clinical practice， this article proposes a model of combining TCM guidelines with real-world study， which includes 4 steps. Firstly， during the implementation process of the guidelines， a high-quality research database is established. Secondly， the recommendations in the guidelines are evaluated based on the established database in multiple dimensions， including applicability， effectiveness， safety， and cost-effectiveness， and thus their effectiveness in practical applications can be determined. Thirdly， based on the established database， core prescriptions are identified， and the targeted populations and medication plans are determined. That is， the best treatment regimen is established based on the analysis of abundant clinical data regarding the effects of different medication frequencies， dosages， and duration on efficacy. Fourthly， the guidelines are updated according to the real-world evidence. The research based on this model can provide real-world evidence for ancient and empirical prescriptions， improving their application in clinical practice. Moreover， this model can reduce research costs and improve research efficiency. When applying this model， researchers need to pay attention to the quality of real-world evidence， ensuring that it can truly reflect the situation in clinical practice. In addition， importance should be attached to the clinical application of guideline recommendations， ensuring that doctors can conduct standardized diagnosis and treatment according to the guidelines. Finally， full-process participation of multidisciplinary experts is encouraged to ensure the comprehensiveness and scientificity of the study. In conclusion， the application of this model will contribute to the development of TCM guidelines responsive to the needs of clinical practice and achieve the goal of promoting the homogenization of TCM clinical diagnosis and treatment.

As a supplement to randomized controlled trials， observational studies can provide evidence for the effectiveness of traditional Chinese medicine （TCM） treatment measures. They can also study influencing factors of diseases， etiology， and prognosis. However， there is a confounding effect due to the lack of randomization， which seriously affects the causal inference between the study factors and the outcome， resulting in confounding bias. Therefore， identifying and controlling confounding factors are key issues to be addressed in TCM observational studies. According to the causal network and the characteristics of TCM theory， confounding factors can be categorized into measured and unmeasured confounding factors. In addition， attention must be paid to identifying confounding factors and intermediate variables， as well as the interaction between confounding factors and study factors. For methods of controlling confounding factors， measured confounding factors can be controlled by stratification， multifactor analysis， propensity scores， and disease risk scores. Unmeasured and unknown confounding factors can be corrected using instrumental variable methods， difference-in-difference methods， and correction for underlying event rate ratios. Correcting and controlling confounding factors can ensure a balance between groups， and confounding bias can be reduced. In addition， methods such as sensitivity analysis and determination of interactions make the control of confounding factors more comprehensive. Due to the unique characteristics of TCM， observational studies of TCM face unique challenges in identifying and controlling confounding factors， including the ever-changing TCM treatment measures received by patients， the often-overlooked confounding effects in the four diagnostic information of TCM， and the lack of objective criteria for TCM evidence-based diagnosis. Some scholars have already conducted innovative explorations to address these issues， providing a methodological basis for conducting higher-quality TCM observational studies， so as to obtain more rigorous real-world evidence of TCM and gradually develop quality evaluation criteria for OS that are consistent with the characteristics of TCM.

The classification of traditional Chinese medicine （TCM） syndromes is one of the core technical elements in the industry standard of Specification of Diagnosis and Therapeutic Effect Evaluation of Diseases and Syndromes in TCM. In the past，when clinical standards for TCM were formulated，the determination of TCM syndrome classification relied heavily on textbooks and expert experience，lacking systematic research. This approach thus failed to reflect the advancement and scientificity of the standards，thereby affecting their implementation and application. This article reviewed the presentation forms and technical methods of TCM syndrome classification，including the two-tier syndrome classification model with primary and secondary symptoms，as well as the application of modern literature research，ancient literature research，Delphi method，in-depth expert interviews，consensus conferences，and real-world research. When syndrome classification standards are developed，it is necessary to build upon modern literature research，adopt a mixed approach combining qualitative research and quantitative analysis results，and reach expert consensus through consensus conferences. Through systematic research，the scientificity，applicability，and coordination of TCM syndrome classification standards can be enhanced，providing guidance for the standardization of TCM.

Objective To investigate the role of macrophages in the process of fine particulate matter (PM2.5)exposure induced damage to pulmonary blood-air barrier.Methods Eighteen male BALB/C mice (aged of 10 weeks,weighing 24～27 g)were randomly divided into control group and low-and high-dose PM2.5 exposure groups (receiving 1 .8 and 16.2 mg/kg,respectively),with 6 mice in each group.The control group received tracheal instillations of normal saline on days 1,4,and 7,whereas the exposure groups were administered corresponding dose of PM2.5 exposure at the same time points.In 24 h after last exposure,pathological changes in the lung tissues were observed,and the contents of total protein (TP ),lactate dehydrogenase (LDH ),and alkaline phosphatase (AKP ) in bronchoalveolar lavage fluid (BALF ),and F4/80 protein level in lung tissue were measured to evaluate the blood-air barrier damage and macrophage infiltration within the lung tissues.Additionally,an in vitro model of the blood-air barrier was established using A549 alveolar epithelial cells and EA.hy926 vascular endothelial cells.In combination with a THP-1 macrophage model,the supernatant PM2.5 supernatant,macrophage supernatant,and PM2.5-macrophage supernatant were incubated with the barrier model for 24 h,respectively.Transmembrane electrical resistance (TEER),sodium fluorescein permeability of the barrier model,and LDH release from the barrier cells were measured to ascertain the extent of macrophage-mediated enhancement in barrier damage induced by PM2.5 exposure.Furthermore,the expression of inflammatory cytokines,such as TNF-α,IL-1β,IL-6,and IL-8 in the macrophages after PM2.5 exposure was analyzed with quantitative real-time PCR (qPCR)and enzyme-linked immunosorbent assay (ELISA).Results PM2.5 exposure induced lung tissue damage in mice in a dose-dependent manner,significantly elevated the contents of TP,LDH and AKP in the BALF and caused marked infiltration of macrophages into the lung tissue,especially the high-dose exposure when compared with the mice from the control group (P<0.01 ).In vitro barrier model exposure experiments showed that in comparison with the treatment of 150 and 300 μg/mL PM2.5 and macrophage supernatant,the same doses of PM2.5-macrophage supernatant resulted in notably decreased TEER and significantly enhanced permeability in the barrier model (P<0.01 ),and markedly increased LDH release from epithelial and endothelial barrier cells (P<0.01 ).Additionally,the exposure of 150 and 300μg/mL PM2.5 led to a significant up-regulation of TNF-α,IL-1β,IL-6,and IL-8 in the macrophages (P<0.01 ).Conclusion Macrophages deteriorate PM2.5-induced functional impairment of the pulmonary blood-air barrier.

Background::Carotid intima-media thickness (IMT) and diameter, stiffness, and wave reflections, are independent and important clinical biomarkers and risk predictors for cardiovascular diseases. The purpose of the present study was to establish nationwide reference values of carotid properties for healthy Chinese adults and to explore potential clinical determinants.Methods::A total of 3053 healthy Han Chinese adults (1922 women) aged 18-79 years were enrolled at 28 collaborating tertiary centers throughout China between April 2021 and July 2022. The real-time tracking of common carotid artery walls was achieved by the radio frequency (RF) ultrasound system. The IMT, diameter, compliance coefficient, β stiffness, local pulse wave velocity (PWV), local systolic blood pressure, augmented pressure (AP), and augmentation index (AIx) were then automatically measured and reported. Data were stratified by age groups and sex. The relationships between age and carotid property parameters were analyzed by Jonckheere-Terpstra test and simple linear regressions. The major clinical determinants of carotid properties were identified by Pearson’s correlation, multiple linear regression, and analyses of covariance.Results::All the parameters of carotid properties demonstrated significantly age-related trajectories. Women showed thinner IMT, smaller carotid diameter, larger AP, and AIx than men. The β stiffness and PWV were significantly higher in men than women before forties, but the differences reversed after that. The increase rate of carotid IMT (5.5 μm/year in women and 5.8 μm/year in men) and diameter (0.03 mm/year in both men and women) were similar between men and women. For the stiffness and wave reflections, women showed significantly larger age-related variations than men as demonstrated by steeper regression slopes (all P for age by sex interaction <0.05). The blood pressures, body mass index (BMI), and triglyceride levels were identified as major clinical determinants of carotid properties with adjustment of age and sex. Conclusions::The age- and sex-specific reference values of carotid properties measured by RF ultrasound for healthy Chinese adults were established. The blood pressures, BMI, and triglyceride levels should be considered for clinical application of corresponding reference values.

Objective:To investigate the effect of volatile organic compounds (VOCs) exposure in the atmosphere on the risk of daily death from stroke in Guangzhou.Methods:Daily average concentrations of twelve atmospheric VOCs, meteorological factors, and daily deaths for stroke and its subtypes (including ischemic and hemorrhagic stroke) in Guangzhou from 2020 to 2021 were collected. The time-series Poisson generalized additive model was established to analyze the relationship between daily average concentrations of atmospheric VOCs and daily mortality from a stroke on different lag days. The season, gender, and age group further performed stratification analysis.Results:Toluene and n-pentane were associated with a higher mortality risk from stroke and its subtypes. For each interquartile range ( IQR) increment in toluene concentration at lag0- 1 days, the RRs for mortality from stroke and hemorrhagic stroke were 1.060 (95% CI: 1.036-1.085) and 1.071 (95% CI: 1.030-1.113), respectively. For each IQR increment in n-pentane concentration, the RR for mortality from ischemic stroke was 1.064 (95% CI: 1.030-1.099). The effect estimates of VOCs may be higher during the cold season and among women and people aged ≥75 years. For each IQR increment in toluene concentration, the RRs for mortality risk of stroke in the cold season and women were 1.099 (95% CI: 1.056-1.143) and 1.085 (95% CI: 1.050-1.120), respectively. For n-pentane, the RR for death risk of stroke in people aged ≥75 years old was 1.072 (95% CI: 1.036-1.109). Results of sensitivity analysis showed that the effect estimates fluctuated less when PM 2.5 and O 3 were separately introduced for the two-pollutant model, as well as changing the degrees of freedom for covariates. Conclusions:This study suggests that VOCs may be an independent risk factor for daily mortality from stroke. Moreover, Toluene presented the most significant health impact.

Objective To explore the specific plasma exosomal protein expression in Coronary Heart Disease(CHD)with phlegm-turbidity syndrome(PTS),so as to provide biological reference for the diagnosis of CHD with PTS.Methods A total of 20 CHD patients with PTS and 20 healthy subjects at the same period were included.Plasma exosomes were extracted from all subjects using the qEV size exclusion method.First,10 CHD cases with PTS and 10 healthy subjects were randomly selected,and differentially expressed proteins between the two groups were screened using label free non-targeted protein quantification analysis.Then,MRM targeting protein labeling technique was applied to verify the differentially expressed proteins in the remaining subjects.Results Compared with healthy controls,214 differentially expressed plasma exosomal proteins(61 up-regulated and 153 down-regulated)were found in CHD patients with PTS,mainly related to cholesterol metabolism,complement and coagulation cascade,and immune effects.ANXA6,C4BPB,F8,CFB,APOE,C9,and CLU proteins were further validated by MRM targeting protein.Conclusion CHD patients with PTS had differences in plasma exosomal protein expression from healthy controls,and the differential proteins are mainly related to cholesterol metabolism,complement,and the coagulation cascade.

Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.

Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.

Objective:To understand the medical experience of patients with early lung cancer in pre-hospitalization, find out the problems and shortcomings in the service process, and provide the basis for improving the quality of medical service under the pre-hospitalization mode.Methods:Through phenomenological research method, 21 pre-hospitalized patients with early lung cancer from September to October 2020 in the First Hospital Affiliated to Guangzhou Medical University were selected by purpose sampling method for semi-structured interviews, and the research data were analyzed by Colaizzi seven-step method.Results:There were four themes in the medical experience of early lung cancer pre-hospitalized patients: the turnover rate of beds was fast, the length of stay and cost of stay were reduced, the inclusion criteria of pre-hospitalization lacked the humanization, admission and examination procedures needed to be optimized and insufficient doctor-patient communication during pre-hospitalization.Conclusions:The implementation of pre-hospitalization mode can make patients′ medical treatment more convenient and efficient, and reduce hospitalization expenses. However, there are still some shortcomings in the management of pre-hospitalization of early lung cancer patients. The pre-hospitalization process should be further standardized, and the communication and management of pre-hospitalization patients during waiting period for out-of-hospital examination should be strengthened.