Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

Objectives: . This study aimed to investigate the regulatory functions of gamma-aminobutyric acid (GABA)ergic neural circuits from the inferior colliculus (IC) to the medial geniculate body (MGB) in salicylate-induced tinnitus. Methods: . Mice were treated with salicylate to induce tinnitus, and tinnitus-like behaviors were evaluated via gap prepulse inhibition of acoustic startle. Using combined viral tracing methodologies, we identified and mapped the pathways and connections from the IC to the MGB. Furthermore, we employed Gq-coupled human M3 designer receptors exclusively activated by designer drugs (DREADDs) and Gi-coupled human M4 DREADDs to achieve targeted excitation or suppression of GABAergic neurons in the IC and MGB. Following the administration of clozapine N-oxide, which binds to these receptors, we modulated these neural circuits to assess their impact on tinnitus severity in a mouse model. Results: . Our findings demonstrated that mice exposed to salicylate exhibited tinnitus-like behaviors. GABAergic neurons projecting retrogradely from the MGB to the IC were primarily concentrated in the external nucleus of the IC. After clozapine N-oxide administration, chemogenetic activation of IC-MGB GABAergic neurons aggravated salicylate-induced tinnitus. Additionally, activation of GABAergic neurons between the IC and MGB induced the perception of tinnitus even without salicylate. However, chemogenetic inhibition of the IC-MGB GABAergic circuit did not reverse salicylate-induced tinnitus. Conclusion . These findings suggest that activation of the IC-MGB GABAergic neural circuit may contribute to tinnitus generation through a mechanism distinct from that of salicylate-induced tinnitus. This study provides novel insights into the mechanisms underlying tinnitus.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

ObjectiveTo investigate the lower limb muscle synergy patterns during jumping in patients after anterior cruciate ligament reconstruction (ACLR). MethodsFrom March to November, 2022, 23 patients after ACLR were enrolled as observation group, and 24 healthy ones matched in height, body mass and exercise level were recruited as control group at Wuhan Sports University. Surface electromyography (sEMG) data of lower limb muscles were collected during a single-leg vertical jump task. Non-negative matrix factorization was applied for synergy analysis. The number of synergies, variance accounted for, synergy structure (muscle weight) and activation coefficient were extracted. ResultsThree types of muscle synergy patterns were identified on the affected side and contralateral side of the observation group, and the control group. For Synergy 1, the weight of biceps femoris was higher on both the affected and contralateral sides than in the control group (P < 0.01); the weight of semitendinosus was higher on the affected side than on the contralateral side (P < 0.05). For Synergy 2, the weight of lateral gastrocnemius and soleus were higher on both sides of the observation group than in the control group (P < 0.05). For Synergy 3, the weight of gluteus maximus was lower on the affected side than on the contralateral side and in the control group (P < 0.05); the weight of tibialis anterior was higher on the affected side than on the contralateral side and in the control group (P < 0.001); the weight of vastus lateralis was lower on the contralateral side than on the affected side and in the control group (P < 0.001). In the observation group, the peak activation time and stop time of Synergy 3 were delayed bilaterally (P < 0.05). ConclusionPatients after ACLR exhibit altered structural and temporal characteristics of lower limb muscle synergy during jump task. The hamstrings show increased participation during the pre-activation phase, and calf muscles undertake more stabilizing functions during the landing phase.

ObjectiveTo investigate the risk factors for postpancreatectomy acute pancreatitis （PPAP） after minimally invasive pancreaticoduodenectomy （MIPD） and their association with major complications， to improve the understanding of PPAP and postoperative pancreatic fistula （POPF）， and to reduce the incidence rates of PPAP and POPF. MethodsA retrospective analysis was performed for the clinical data of 114 patients who underwent MIPD in Department of Hepatobiliary and Pancreatic Surgery， The First Affiliated Hospital of University of South China， from March 2015 to December 2023， and the definition of PPAP and its diagnostic criteria provided by the International Study Group of Pancreatic Surgery were used to determine the presence or absence of PPAP. The independent samples t-test or the Mann-Whitney U rank sum test was used for comparison of continuous data between groups， and the Kruskal-Wallis H test was used for comparison between multiple groups， and the Dunn-test was used for further comparison between two groups.； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups.， and the Bonferroni-test was used for further comparison between two groups. The multivariate logistic regression analysis was used to identify the risk factors for PPAP after MIPD. ResultsOf all 114 patients undergoing MIPD， 27 （23.7%） experienced PPAP. The multivariate analysis showed that main pancreatic duct diameter ≤3 mm （odds ratio ［OR］=5.083， 95% confidence interval ［CI］： 1.703 — 15.172， P=0.004）， soft pancreatic texture （OR=5.925， 95%CI： 1.986 — 17.677， P=0.001）， and C-reactive protein ≥180 mg/L on day 1 after surgery （OR=5.419， 95%CI： 1.586 — 18.513， P=0.007） were independent risk factors for the onset of PPAP after MIPD. Clinical analyses showed that the patients with PPAP tended to have significantly higher incidence rates of POPF， peritoneal infection， Clavien-Dindo grade 3/4 complications， discharge with tube， and 90-day postoperative death （χ²=5.676， 5.460， 9.863， 5.439， and 4.207， all P<0.05）. ConclusionMain pancreatic duct diameter， pancreatic texture， and C-reactive protein on day 1 after surgery are closely associated with the onset of PPAP after MIPD， and PPAP can lead to other postoperative complications and even death.

Objective:To compare the clinical efficacy of catheter-directed thrombolysis (CDT) via the contralateral femoral vein approach (CFVA-CDT) and the calf deep vein approach (CVA-CDT) in the treatment of acute mixed-type lower extremity deep vein thrombosis (DVT).Methods:Patients treated with CFVA-CDT and CVA-CDT for acute mixed-type DVT were retrospectively collected from January 2018 to December 2021, totaling 49 and 32 patients, respectively. The relevant technical indicators, thrombolysis rates in the iliac-femoral vein segment and femoral-popliteal vein segment, clinical efficacy, and the incidence of lower extremity deep vein patency, venous valve insufficiency, and post-thrombotic syndrome (PTS), as well as the severity of chronic venous disease in the affected limb (VCSS score) during a 2-year follow-up period were retrospectively compared between the two venous access CDT groups. The t-test was used for comparing quantitative data, while the chi-square test or Fisher′s exact test was used for categorical data.Results:During CFVA-CDT procedure, 6-8 F vascular sheaths were used, and balloon dilation of 2~6 mm was more frequently employed (65.31%, 32/49) to expand venous stenosis/occlusion segments before successful sheath placement compared to the CVA-CDT group (37.50%, 12/32), and the difference was statistically significant ( P=0.014). In the CVA-CDT group, 31.25% (10/32) of patients had a maximum sheath size of 6 F, while the remainder used 4 or 5 F sheaths. Among them, 34.38% (11/32) of patients required re-puncture of the popliteal or femoral vein for larger sheaths (≥8 F) for thrombus aspiration and subsequent endovascular treatment during or after thrombolysis. The effective thrombolysis rates (≥50%) in the iliac-femoral vein segment were not significantly different between the two groups ( P=0.778). The effective thrombolysis rate of the femoral-popliteal venous segment is related to the presence or absence of popliteal vein opacification on lower extremity venous antegrade venography. There was no significant difference between the groups when the popliteal vein was visualized ( P=1.000). While the popliteal vein was not visualized, the CVA-CDT group (75.0%, 15/20) was significantly better than the CFVA-CDT group (34.38%, 11/32), and the difference was statistically significant ( P=0.004). There was no significant difference in clinical efficacy between the two groups ( P=0.819). During follow-up, the femoral-popliteal vein patency rate in the CVA-CDT group (87.50%, 28/32) was significantly higher than in the CFVA-CDT group (44.90%, 22/49), the difference was statistically significant ( P<0.001). Conclusions:Successful CFVA-CDT requires the assistance of more ancillary devices, while the use of larger sheaths is more limited in CVA-CDT due to the smaller caliber of the calf deep veins. The presence or absence of popliteal vein opacification on lower extremity venous antegrade venography may influence the effective thrombolysis of the femoral-popliteal venous segment thrombus in patients with acute mixed deep vein thrombosis (DVT) treated with CFVA-CDT and CVA-CDT. Compared to CFVA-CDT, CVA-CDT can improve the patency rate of the femoral-popliteal venous segment.

Background:Ideal bowel preparation is the prerequisite for the successful diagnostic and therapeutic colonoscopy.The retention of intestinal bubbles can seriously affect the clarity of the intestinal mucosa and subsequently decrease the detection rate of colonoscopy.Aims:To investigate the application value of dyclonine hydrochloride mucilage in bowel preparation for colonoscopy.Methods:This study was a randomized double-blinded placebo-controlled trial.Patients who underwent colonoscopy from October 2020 to October 2023 at Hainan West Central Hospital were enrolled and randomly allocated into the dyclonine hydrochloride mucilage group and the control group.3 L polyethylene glycol(PEG)+dyclonine hydrochloride mucilage and 3 L PEG+placebo were given for bowel preparation,respectively.The quality of bowel preparation was evaluated by Boston bowel preparation scale(BBPS)score and bubble score.Furthermore,a questionnaire was conducted.The cecal intubation time,withdrawal time,adenoma detection rate and adverse reaction were compared between the two groups.Results:A total of 482 patients who underwent colonoscopy were included.No significant differences in clinical characteristics such as gender,age,body mass index(BMI)and main reasons for colonoscopy were found between the dyclonine hydrochloride mucilage group and the control group(all P>0.05).Compared with the control group,no significant differences existed in total BBPS score and segment scores for right,transverse,and left colon in the dyclonine hydrochloride mucilage group(all P>0.05),but the total bubble score and segment scores for right,transverse,and left colon were significantly decreased(all P<0.001).The withdrawal time in the dyclonine hydrochloride mucilage group was significantly decreased compared to the control group(P<0.001),and the adenoma detection rate was significantly increased(P=0.001).However,no significant differences in cecal intubation time and incidence of adverse reaction were found between the two groups(all P>0.05).Conclusions:Administration of dyclonine hydrochloride mucilage during bowel preparation for colonoscopy can reduce the formation of intestinal bubbles,shorten the withdrawal time and increase the adenoma detection rate.

Objective:To establish a gas chromatography-mass spectrometry method(GC-MS-MS)for determining the content of methyl p-toluenesulfonate(MTS),ethyl p-toluenesulfonate(ETS),and isopropyl p-toluenesulfonate(IPTS)in tosufloxacin tosylate hydrate.Methods:The HP-1MS(0.250 mm ×30 m,0.50 μm)column was used at progamming temperature,the injection temperature was 250 ℃.The MS conditions were as follow:the ionization mode was EI,the electron voltage was 70 V,the ion source temperature was 250 ℃,the scanning method was MRM,the quantitative ion pairs for MTS,ETS and IPTS were m/z 91 →65,m/z 155→91 and m/z 91→65.Results:The linearity ranges of MTS,ETS and IPTS were 48.779-975.59 ng·mL-1(r=0.998 5),54.586-1 091.7 ng·mL-1(r=0.998 4)and 46.241-924.82 ng·mL-1(r=0.999 8).The average recoveries were 99.47％,99.15％,98.83％(n=9).The MTS,ETS and IPTS were not detected in the 7 batches of tosufloxacin tosylate hydrate.Conclusion:The established method can be used for the determination of MTS,ETS,and IPTS content in tosufloxacin tosylate hydrate.

Objective:To establish a gas chromatography-mass spectrometry method(GC-MS-MS)for determining the content of methyl p-toluenesulfonate(MTS),ethyl p-toluenesulfonate(ETS),and isopropyl p-toluenesulfonate(IPTS)in tosufloxacin tosylate hydrate.Methods:The HP-1MS(0.250 mm ×30 m,0.50 μm)column was used at progamming temperature,the injection temperature was 250 ℃.The MS conditions were as follow:the ionization mode was EI,the electron voltage was 70 V,the ion source temperature was 250 ℃,the scanning method was MRM,the quantitative ion pairs for MTS,ETS and IPTS were m/z 91 →65,m/z 155→91 and m/z 91→65.Results:The linearity ranges of MTS,ETS and IPTS were 48.779-975.59 ng·mL-1(r=0.998 5),54.586-1 091.7 ng·mL-1(r=0.998 4)and 46.241-924.82 ng·mL-1(r=0.999 8).The average recoveries were 99.47％,99.15％,98.83％(n=9).The MTS,ETS and IPTS were not detected in the 7 batches of tosufloxacin tosylate hydrate.Conclusion:The established method can be used for the determination of MTS,ETS,and IPTS content in tosufloxacin tosylate hydrate.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]