ObjectiveTo construct a standardized diagnostic scale for Qi-Yin deficiency with blood stasis syndrome in diabetic macrovascular disease. MethodsLiterature related to Qi-Yin deficiency with blood stasis syndrome in diabetic macrovascular disease was retrieved from CNKI， VIP， and Wanfang databases. Diagnostic information from four diagnostic methods was extracted and standardized， with items having a frequency of ≥15 included in the item pool. A three-round Delphi expert consultation was conducted， screening items using support degree， mean score， rank sum， and coefficient of variation. Item weights were determined using analytic hierarchy process （AHP）， gactor analysis （FA）， and combined weighting method （CWM）. The optimal weighting method was selected by comparing the area under the receiver operating characteristic （ROC） curve （AUC）. The Youden index was calculated to establish the diagnostic cutoff value， which was proportionally scaled. ResultsA total of 102 studies were included. Thirty-five items were incorporated into the item pool. The authority coefficients for the three Delphi rounds were 0.82， 0.85， and 0.86， with coordination coefficients of 0.648， 0.538， and 0.506， respectively. Fifteen items were retained after screening. ROC curve analysis showed the AUC ranking as FA > CWM > AHP. The maximum Youden index was 0.814， corresponding to a diagnostic cutoff of 8.361 （scaled to 40 points）. The final scale adopted a structured diagnostic framework： the symptom dimension requires at least 2 items， and the tongue or pulse dimension requires at least 1 category. ConclusionThis study developed a standardized diagnostic scale for Qi-Yin deficiency with blood stasis syndrome in diabetic macrovascular disease. Core items were screened via the Delphi method， with factor analysis identified as the optimal weighting method through AUC comparison. The diagnostic threshold （40 points） and structured diagnostic framework provide a quantitatively clear， clinically practical tool.

ObjectiveTo explore the establishment of a rat model of diabetic macrovascular atherosclerosis （DMA） with Qi and Yin deficiency syndrome induced by high-fat diet， streptozotocin （STZ）， and Yin-depleting herbs， and to evaluate its biological characteristics. MethodsForty SD rats were randomly divided into a blank group （n=10） and a modeling group （n=30）. Except for the blank group， rats in the model group were fed a high-fat diet for 4 weeks， followed by intraperitoneal injection of STZ （30 mg·kg^-1） to establish a diabetic model. Twenty-four successfully modeled diabetic rats were randomly divided into a model group （n=7）， a Qi and Yin deficiency syndrome group （n=8）， and a counter-syndrome group （n=9）. Except for the model group， rats received intragastric administration of Yin-depleting herbs （1.2 g·kg^-1） for 8 weeks. The counter-syndrome group was further treated with Shenqi compound formula （1.69 g·kg^-1） for an additional 8 weeks. General condition and body weight were recorded， and syndrome-related indicators were assessed， including precordial temperature， skin moisture content， grip strength， open-field test performance， and tongue appearance. Serum levels of vascular endothelial growth factor （VEGF）， endothelin-1 （ET-1）， vascular cell adhesion molecule-1 （VCAM-1）， insulin-like growth factor-1 （IGF-1）， and monocyte chemotactic protein-1 （MCP-1） were measured by enzyme-linked immunosorbent assay （ELISA）. Fasting blood glucose， blood lipids， hemorheological parameters， and coagulation function were analyzed using an automatic biochemical analyzer. Vascular ultrasound and hematoxylin-eosin （HE） staining were used to evaluate vascular lesions. ResultsIn terms of syndrome manifestations， compared with the blank group， body weight increased rapidly during the first 5 weeks in the model， Qi and Yin deficiency， and counter-syndrome groups. After STZ injection combined with Yin-depleting herbal administration at week 5， body weight decreased significantly （P<0.01） and continued to decline until the end of the experiment. Rats exhibited decreased activity， irritability， coarse and yellowish fur with obvious shedding， polydipsia， polyphagia， frequent urination， and dry stools， which were most pronounced in the Qi and Yin deficiency group. Grip strength decreased， peak activity time occurred earlier， total distance in the open-field test was reduced， and residence time was prolonged. Precordial temperature decreased （P<0.01）， while paw temperature increased （P<0.05）， and skin moisture and oil content were reduced （P<0.05， P<0.01）. In terms of disease-related indicators， compared with the blank group， fasting blood glucose was significantly increased （>16.7 mmol·L^-1） in the model and Qi and Yin deficiency groups， and blood lipid levels were significantly elevated （P<0.05）. Vascular-related factors ET-1， MCP-1， VCAM-1， and VEGF were significantly increased （P<0.05，P<0.01）， while IGF-1 was significantly decreased （P<0.01）. Pathological examination of the aortic valve showed valvular thickening and structural disorganization. Carotid artery examination revealed discontinuity of the intima， foam cell accumulation beneath the intima， disordered smooth muscle arrangement， and widened intercellular spaces. Compared with the model group， ET-1， MCP-1， and VEGF levels were significantly decreased in both the Qi and Yin deficiency group and the counter-syndrome group. The reductions in ET-1 and MCP-1 were more pronounced in the Qi and Yin deficiency group （P<0.01）， while the decrease in VCAM-1 was more significant in the counter-syndrome group （P<0.05）. Compared with the blank group， the Qi and Yin deficiency group showed significantly prolonged activated partial thromboplastin time （APTT）， thrombin time （TT）， and prothrombin time （PT） （P<0.01）. The erythrocyte deformability index （TK）， erythrocyte sedimentation rate， erythrocyte electrophoresis index， and whole blood low-shear viscosity all showed increasing trends. Vascular ultrasound revealed reduced arterial blood flow velocity， increased vascular resistance， and intimal thickening without plaque formation. The aortic intima showed no obvious overall thickening， with only occasional localized thickening and foam cell presence， and carotid artery injury was observed. ConclusionA rat model of DMA with Qi and Yin deficiency syndrome was successfully established using high-fat diet feeding combined with STZ injection and Yin-depleting herbal administration. Shenqi compound formula effectively alleviated Qi and Yin deficiency syndrome， regulated glucose and lipid metabolism， improved hemorheological and coagulation function， reduced vascular lesion severity， and demonstrated potential for early prevention and treatment of DMA.

[Objective] To investigate the differences in metabolomics between apheresis platelets stored at 4℃ and at 22℃ with agitation, aiming to provide a theoretical basis for the cold storage of apheresis platelets. [Methods] Samples were collected at four time points (d1, d5, d10, d15) for platelets stored at 4℃ (experimental group) and two time points (d1, d5) for platelets stored at 22℃ with agitation (control group). Liquid chromatography-tandem mass spectrometry (LC-MS/MS) technology was used to detect changes in platelet metabolome levels under different storage conditions. Platelet functional activity was assessed by thromboelastography (TEG) for maximum amplitude (MA) values and flow cytometry for CD62P activation rates. [Results] Metabolites in the glycolytic pathway, key metabolites in the tricarboxylic acid cycle (citrate, α-ketoglutarate), metabolites in the purine metabolism pathway (adenine, inosine monophosphate, guanine, etc.) and amino acid metabolites significantly decreased by d5 in the control group, whereas they remained stable in the experimental group. The content of fatty acid metabolites, such as prostaglandin G2, 13(S)-HOTrE, and linoleic acid, significantly increased in the control group. Statistically significant differences in MA values were observed between the two groups at d1 and d5 (P<0.05). However, in the experimental group, as the storage time extended, the MA values at d10 and d15 showed no significant difference compared to the control group at d5 (P>0.05). The CD62P activation rate between the two groups was statistically significant (P<0.05). Additionally, the CD62P activation rate of platelets in the 22℃ group increased rapidly from d1, while it rose gradually in the 4 ℃ group. [Conclusion] Platelets stored at 4 ℃ exhibit more stable metabolic activity and slower functional deterioration, which is beneficial for extending the effective storage period of platelets.

Sinopodophyllum hexandruma is a traditional Chinese medicine in China,which is mostly distributed in Gansu,Shaanxi,Sichuan,Qinghai,Yunnan and Xizang,etc.In recent years,with the gradual deepening of the research on the chemical composition and pharmacology-toxicology of Sinopodophyllum hexandruma,its antitumour and antiviral pharmacodynamic evaluation has increasingly become a research hotspot in the industry.Based on the chemical structure,pharmacological properties and the theoretical basis of quality markers(Q-markers),this paper presents an in-depth literature review and analysis of the chemical composition,pharmacological activities and Q-markers of Sinopodophyllum hexandruma,and systematically explores and predicts the Q-markers of Sinopodophyllum hexandruma.It is proposed that Podophyllotoxin,picropodophyllotoxin,podophyllotoxinone,quercetin,kaempferol,quercetin-3-O-β-glucoside can be used as the Q-marker of Sinopodophyllum hexandruma.In the later stage,these index components can be selected to control the whole quality of Sinopodophyllum hexandrum,and provide some data support and theoretical reference for the quality evaluation of Sinopodophyllum hexandrum.

Objective To discuss the effect of interleukin-17A(IL-17A)and transforming growth factor-β1(TGF-β1)on the benign tracheal stenosis after tracheal injury in experimental dogs.Methods The trachea stenosis model of healthy Beagle dogs was established by burning the middle part of trachea with electric snare under bronchoscopy guidance.A total of 21 dogs were divided into normal group(n=3,receiving normal feeding),molding group(n=12,after airway modeling every 3 dogs were sacrificed each week for 4 weeks),IL-17A suppression group(n=3,receiving Secukinumab after airway modeling),and IL-17A inhibitor+TGF-β1 inhibitor group(n=3,receiving Secukinumab and SB43154 after airway modeling).Bronchoscopy and CT scan were performed once a week,and the stenosis degree was calculated.RT-qPCR,immunohistochemistry,and HE staining of the obtained tracheal tissues were performed.Results Within 1-4 weeks after molding,in module-making dogs the degree of stenosis of the injured trachea gradually increased,and the expressions of ECM-related proteins,TGF-β1 and IL-17A were up-regulated.After treatment with IL-17A inhibitors,the inflammatory infiltration and granulation tissue hyperplasia were reduced and the early tracheal stenosis was improved(P＜0.05).The combination use of IL-17A inhibitor and TGF-β1 inhibitor had a better remission effect(P＜0.05).Conclusion IL-17A and TGF-β1 may synergistically affect the formation of tracheal stenosis.

Objective:To identify independent risk factors for chronic critical illness (CCI) secondary to severe pneumonia and to develop and validate a clinical prediction model.Methods:A retrospective cohort study was conducted using electronic medical records from 415 patients with severe pneumonia admitted between January 2023 and March 2024. Patients were randomly divided into a training set ( n = 290) and a validation set ( n = 125) at a 7:3 ratio. Univariate and multivariate logistic regression analyses were used to identify independent risk factors, and a nomogram was constructed. The model’s discriminative ability, calibration, and clinical utility were assessed using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Results:The overall incidence of CCI was 23.13% (96/415). Multivariate analysis identified five independent predictors: virus infection ( OR = 13.00, 95% CI: 5.07–33.35, P < 0.001), mechanical ventilation ≥72 hours ( OR = 8.06, 95% CI: 3.68–20.09, P < 0.001), neutrophil-to-albumin ratio (NAR) ( OR = 27848, 95% CI: 193.93–5542274.11, P < 0.001), oxygenation index ( OR =1.09, 95% CI: 1.01–1.09, P < 0.001), and age ( OR = 0.94, 95% CI: 0.91–0.97, P < 0.001). The model demonstrated excellent performance in both sets: training set AUC = 0.96 (95% CI: 0.94–0.98), sensitivity 0.93, specificity 0.89, Brier score 0.09; validation set AUC = 0.93 (95% CI: 0.88–0.98), sensitivity 0.89, specificity 0.64, Brier score 0.13. Calibration curves showed high consistency between predicted and observed risks (mean absolute error < 3%), and DCA indicated significant net clinical benefit within the threshold probability range of 15–60%. Conclusions:The developed prediction model integrates etiological, inflammatory, metabolic, and respiratory support parameters and demonstrates outstanding predictive performance (AUC > 0.90). It may serve as a quantitative tool for early risk stratification and intervention in patients with severe pneumonia. Further multicenter external validation and exploration of integrating dynamic biomarker monitoring are recommended.

Objective To investigate the potential of one-stop multi-modality CT in the assessment of collateral circulation and prognosis in acute ischemic stroke(AIS).Methods From February 2022 to May 2024,115 patients diagnosed with AIS at Wuzhou Red Cross Hospital were enrolled in the study.All subjects were examined with one-stop multi-modality CT at admission and received endovascular therapy.According to the collateral circulation score derived from multi-phase CT angiography(mCTA)and the modified Rankin scale score at 90 days,these patients were divided into different groups:good(n=59)vs poor(n=56)collateral circulation groups,and favorable(n=48)vs unfavorable(n=67)outcome groups.Clinical and imaging parameters were compared between these groups.Independent risk factors for collateral circulation and prognosis of AIS patients were identified through multivariate Logistic regression analysis.A prediction model for unfavorable AIS prognosis was developed based on the results of multivariate Logistic analysis,and its predictive value was assessed using receiver operating characteristic(ROC)curve analysis.Results Poor collateral circulation group exhibited higher proportions of insular ribbon and gray-white matter junction blurring as compared with good collateral circulation group(P<0.05),while the ratio of hypoperfusion intensity ratio(HIR)<0.3 was lower in poor collateral circulation group(P<0.05).Relative cerebral blood volume(rCBV)<40%,relative cerebral blood flow(rCBF)<30%,peak time(Tmax)>8 s,and Tmax>10 s volume were all significantly higher in poor collateral circulation group(P<0.05),whereas the Alberta stroke program early CT score(ASPECTS)was lower(P<0.05).Multivariate Logistic regression analysis identified ASPECTS,rCBV<40%,rCBF<30%,and Tmax>10 s as independent risk factors for poor collateral circulation(P<0.05).Unfavorable outcome group had higher rates of hemorrhage following endovascular thrombectomy and mismatch ratio<1.8 than favorable outcome group(P<0.05),with a lower HIR<0.3 ratio(P<0.05).Compared with favorable outcome group,unfavorable outcome group also showed higher admission NIHSS scores,higher percentages of rCBV<40%,rCBF<30%,Tmax>4 s,Tmax>6 s,and Tmax>10 s volumes(P<0.05),but lower mCTA collateral circulation score(P<0.05).Multivariate Logistic regression analysis indicated that admission NIHSS score,mCTA collateral circulation score,rCBV<40%,rCBF<30%,and Tmax>10 s were independent risk factors for unfavorable outcomes(P<0.05).The regression equation was formulated as:Logit(P)=-0.184+(admission NIHSS score×0.134)+(mCTA collateral circulation score×-0.415)+(rCBV<40%×0.107)+(rCBF<30%×0.089)+(Tmax>10 s×0.028).ROC curve analysis demonstrated an area under the curve of 0.775(95 CI:0.689-0.860,P<0.001)for the prediction model in assessing unfavorable AIS prognosis.Conclusion One-stop multi-modality CT has significant application value in assessing collateral circulation and predicting prognosis in AIS patients.

Sinopodophyllum hexandruma is a traditional Chinese medicine in China,which is mostly distributed in Gansu,Shaanxi,Sichuan,Qinghai,Yunnan and Xizang,etc.In recent years,with the gradual deepening of the research on the chemical composition and pharmacology-toxicology of Sinopodophyllum hexandruma,its antitumour and antiviral pharmacodynamic evaluation has increasingly become a research hotspot in the industry.Based on the chemical structure,pharmacological properties and the theoretical basis of quality markers(Q-markers),this paper presents an in-depth literature review and analysis of the chemical composition,pharmacological activities and Q-markers of Sinopodophyllum hexandruma,and systematically explores and predicts the Q-markers of Sinopodophyllum hexandruma.It is proposed that Podophyllotoxin,picropodophyllotoxin,podophyllotoxinone,quercetin,kaempferol,quercetin-3-O-β-glucoside can be used as the Q-marker of Sinopodophyllum hexandruma.In the later stage,these index components can be selected to control the whole quality of Sinopodophyllum hexandrum,and provide some data support and theoretical reference for the quality evaluation of Sinopodophyllum hexandrum.

Objective To investigate the potential of one-stop multi-modality CT in the assessment of collateral circulation and prognosis in acute ischemic stroke(AIS).Methods From February 2022 to May 2024,115 patients diagnosed with AIS at Wuzhou Red Cross Hospital were enrolled in the study.All subjects were examined with one-stop multi-modality CT at admission and received endovascular therapy.According to the collateral circulation score derived from multi-phase CT angiography(mCTA)and the modified Rankin scale score at 90 days,these patients were divided into different groups:good(n=59)vs poor(n=56)collateral circulation groups,and favorable(n=48)vs unfavorable(n=67)outcome groups.Clinical and imaging parameters were compared between these groups.Independent risk factors for collateral circulation and prognosis of AIS patients were identified through multivariate Logistic regression analysis.A prediction model for unfavorable AIS prognosis was developed based on the results of multivariate Logistic analysis,and its predictive value was assessed using receiver operating characteristic(ROC)curve analysis.Results Poor collateral circulation group exhibited higher proportions of insular ribbon and gray-white matter junction blurring as compared with good collateral circulation group(P<0.05),while the ratio of hypoperfusion intensity ratio(HIR)<0.3 was lower in poor collateral circulation group(P<0.05).Relative cerebral blood volume(rCBV)<40%,relative cerebral blood flow(rCBF)<30%,peak time(Tmax)>8 s,and Tmax>10 s volume were all significantly higher in poor collateral circulation group(P<0.05),whereas the Alberta stroke program early CT score(ASPECTS)was lower(P<0.05).Multivariate Logistic regression analysis identified ASPECTS,rCBV<40%,rCBF<30%,and Tmax>10 s as independent risk factors for poor collateral circulation(P<0.05).Unfavorable outcome group had higher rates of hemorrhage following endovascular thrombectomy and mismatch ratio<1.8 than favorable outcome group(P<0.05),with a lower HIR<0.3 ratio(P<0.05).Compared with favorable outcome group,unfavorable outcome group also showed higher admission NIHSS scores,higher percentages of rCBV<40%,rCBF<30%,Tmax>4 s,Tmax>6 s,and Tmax>10 s volumes(P<0.05),but lower mCTA collateral circulation score(P<0.05).Multivariate Logistic regression analysis indicated that admission NIHSS score,mCTA collateral circulation score,rCBV<40%,rCBF<30%,and Tmax>10 s were independent risk factors for unfavorable outcomes(P<0.05).The regression equation was formulated as:Logit(P)=-0.184+(admission NIHSS score×0.134)+(mCTA collateral circulation score×-0.415)+(rCBV<40%×0.107)+(rCBF<30%×0.089)+(Tmax>10 s×0.028).ROC curve analysis demonstrated an area under the curve of 0.775(95 CI:0.689-0.860,P<0.001)for the prediction model in assessing unfavorable AIS prognosis.Conclusion One-stop multi-modality CT has significant application value in assessing collateral circulation and predicting prognosis in AIS patients.

Objective:To explore the prognostic factors and the relationship between the disease type at initial diagnosis and the disease type causing death in patients with laryngeal cancer combined with simultaneous lung cancer.Methods:The clinicopathological data of 240 patients diagnosed with laryngeal cancer combined with simultaneous lung cancer between January 2004 and December 2015 in the Surveillance, Epidemiology and End Results (SEER) database were retrospectively analyzed. Chi-square test was used to evaluate the relationship between the disease type at initial diagnosis and the disease type causing death in patients with laryngeal cancer combined with simultaneous lung cancer. Kaplan-Meier method was used for survival analysis, and Cox proportional risk model was used to make univariate and multivariate analysis of the factors influencing the overall survival of patients.Results:A total of 240 cases with laryngeal cancer combined with simultaneous lung cancer included 222 males and 18 females, and there were 141 cases aged over 65 years. The disease type at initial diagnosis was not correlated with the disease type causing death of patients ( χ2 = 3.31, P = 0.191). The 1-year, 3-year, and 5-year overall survival rates of these patients were 62.1%, 31.5%, and 16.4%, respectively. Univariate analysis showed that the primary location of laryngeal cancer, primary location of lung cancer, histological grade of lung cancer, pathological type, clinical staging, surgical condition, and radiotherapy influenced the overall survival of patients (all P < 0.05); multivariate analysis showed that the primary location of laryngeal cancer, primary location of lung cancer, histological grade of lung cancer, pathological type, clinical stage, and surgical condition were independent influencing factors for overall survival of patients with laryngeal cancer combined with simultaneous lung cancer (all P < 0.05). Conclusions:The independent factors influencing the prognosis of laryngeal cancer with simultaneous lung cancer patients include the primary focus of laryngeal cancer, the primary focus of lung cancer, the histological grade of lung cancer, the pathological type, the clinical stage, and the surgical condition. And there is no correlation between the disease type at initial diagnosis and the disease type causing death.