OBJECTIVE To discuss the effect mechanism of atractylodin （ATR） on lung injury and airway inflammation in rats with acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. METHODS AECOPD model was established using smoke exposure and intratracheal injection of lipopolysaccharide. Rats were randomly grouped into model group， ATR low-， medium- and high-dose groups （25， 50 and 100 mg/kg）， as well as high-dose ATR+anisomycin [ANS， c-Jun N-terminal kinase （JNK） activator] group （100 mg/kg ATR+5 mg/kg ANS）. Additionally， a non-modeled control group was set up， with 12 rats in each group. Rats in each group were intraperitoneally injected with the corresponding drug solution/normal saline once daily for 14 consecutive days. After the last medication， lung function [peak expiratory flow （PEF）， the ratio of forced expiratory volume （FEV） to forced vital capacity （FVC）， arterial partial pressure of oxygen （PaO2）]， as well as the number of inflammatory cells and the levels of inflammatory cytokines [interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and IL-1β] in bronchoalveolar lavage fluid （BALF）， were measured. The pathological morphology of lung tissue in rats was observed. 163.com The apoptosis of lung epithelial cells was detected， and the expression levels of proteins related to the JNK/p38 mitogen-activated protein kinase （p38 MAPK） signaling pathway in rat lung tissues were detected. RESULTS Compared with control group， PEF， FEV/FVC and PaO2 of model group were slowed or decreased significantly （P＜0.05）. The number of white blood cells， neutrophils， lymphocytes and macrophages， as well as the levels of IL-1β， TNF-α and IL-6 in BALF， along with the pathological score， the apoptosis rate of lung epithelial cells， and the phosphorylation levels of JNK and p38 MAPK proteins in lung tissues， were all increased or raised significantly （P＜0.05）； lung tissue exhibited severe damage， with disordered cell arrangement and marked infiltration of inflammatory cells. Compared with model group， the levels of above quantitative indicators in rats from all ATR dosage groups showed significant improvement in a dose-dependent manner （P＜0.05）； moreover， the pathological damage in lung tissue was alleviated， with cells arranged in a regular and orderly fashion. Compared with ATR high-dose group， the levels of the above quantitative indicators in rats from the high-dose ATR+ANS group were significantly reversed （P＜0.05）， and the pathological damage in lung tissue was exacerbated. CONCLUSIONS ATR inhibits airway inflammation by suppressing the activity of the JNK/p38 MAPK signaling pathway， thereby improving lung tissue damage in AECOPD rats.

Objective:To screen the risk factors of acute kidney injury (AKI) in patients with multiple trauma, construct a prediction model accordingly, and evaluate its predictive value.Methods:A retrospective cohort study was performed to analyze the clinical data of 560 multiple trauma patients who were admitted to while Affiliated Hospital of Jiangsu University from January 2017 to June 2023, including 424 males and 136 females, aged 18-91 years [(55.5±15.0)years]. The patients were randomly divided into a training set ( n=392) and validation set ( n=168) with a ratio of 7∶3. Of all, 77 patients were combined with AKI in the training set, while 33 patients combined with AKI in the validation set. The AKI group and non-AKI group in the training set were compared in terms of gender, age, hypertension, diabetes, cause of injury, abbreviated injury scale (AIS) score of head and neck injury, AIS score of maxillofacial injury, AIS score of chest injury, AIS score of abdominal injury, AIS score of extremities and pelvic injury, AIS score of body surface injury, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, Glasgow coma score (GCS) on admission, revised trauma score (RTS) on admission, acute physiology and chronic health assessment II (APACHE II) on admission, injury severity score (ISS) on admission, and laboratory test results on admission including white blood cell count, neutrophil count, lymphocyte count, C-reactive protein, hemoglobin, platelet count, activated partial thromboplastin time (APTT), prothrombin (PT), fibrinogen (FIB), thrombin time (TT), international normalized ratio (INR), D-dimer, blood lactate, base excess, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, globulin, urea nitrogen, serum creatinine, blood glucose, potassium, sodium and chloronium. In the training set, univariate analysis and Lasso regression analysis were used to screen the risk factors of AKI in patients with multiple trauma, which were then included into multivariate logistic regression analysis to identify the independent risk factors. A nomogram prediction model was constructed using the R software based on the above independent risk factors. Hosmer-Lemeshow (H-L) goodness-of-fit test was performed to evaluate the fitting degree of the prediction model in the training set and the validation set, and the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve (DCA) were plotted in the training set and the validation set to evaluate the predictive performance of the prediction model. Results:There were statistically significant differences in AIS score of abdominal injury, heart rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, GCS on admission, RTS on admission, APACHE II on admission, ISS on admission as well as hemoglobin, platelet count, APTT, PT, FIB, TT, INR, blood lactate, base excess, AST, albumin, globulin, urea nitrogen, serum creatinine, blood glucose and sodium on admission between the AKI group and the non-AKI group ( P<0.05 or 0.01). The characteristic variables screened by Lasso regression analysis included AIS score of abdominal injury, red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drugs therapy, blood lactate on admission, blood creatinine on admission, AST on admission, and blood sodium on admission. Multivariate logistic regression analysis showed that red blood cell transfusion volume within 24 hour following admission ( OR=1.09, 95% CI 1.01, 1.18), mechanical ventilation ( OR=2.49, 95% CI 1.06, 5.85), vasoactive drug therapy ( OR=2.04, 95% CI 1.03, 4.03), blood lactate on admission ( OR=1.10, 95% CI 1.01, 1.21) and serum creatinine on admission ( OR=1.02, 95% CI 1.01, 1.03) were independent risk factors for AKI in patients with multiple trauma ( P<0.05). The regression equation was constructed: Logit[ P/(1- P)]=0.086 2×"red blood cell transfusion volume within 24 hour following admission"+0.912 7×"mechanical ventilation"+0.713 2×"vasoactive drug therapy"+0.098 9×"blood lactate on admission"+0.019 2×"serum creatinine on admission" -4.822 3. H-L goodness-of-fit test showed χ2 value of 9.50 in the training set ( P>0.05) and 6.43 in the validation set ( P>0.05). The results of the ROC curve indicated that the area under the curve (AUC) was 0.84 (95% CI 0.78, 0.89) in the training set and 0.80 (95% CI 0.72, 0.88) in the validation set. The calibration curves showed good agreement with the actual curves, with the predicted probability consistent with the actual probability in both training set and validation set. DCA analysis showed that the threshold probability ranged from 2% to 70% with the net benefit rate of the prediction model greater than 0 in the training set, while the threshold probability ranged from 3% to 69% with the net benefit rate of the prediction model greater than 0 in the validation set. Conclusions:Red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drug therapy, lactate and serum creatinine on admission are independent risk factors for AKI in patients with multiple trauma. The nomogram prediction model based on the above 5 predictive variables of AKI in patients with multiple trauma shows good predictive efficacy and clinical application value.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective:To screen the risk factors of acute kidney injury (AKI) in patients with multiple trauma, construct a prediction model accordingly, and evaluate its predictive value.Methods:A retrospective cohort study was performed to analyze the clinical data of 560 multiple trauma patients who were admitted to while Affiliated Hospital of Jiangsu University from January 2017 to June 2023, including 424 males and 136 females, aged 18-91 years [(55.5±15.0)years]. The patients were randomly divided into a training set ( n=392) and validation set ( n=168) with a ratio of 7∶3. Of all, 77 patients were combined with AKI in the training set, while 33 patients combined with AKI in the validation set. The AKI group and non-AKI group in the training set were compared in terms of gender, age, hypertension, diabetes, cause of injury, abbreviated injury scale (AIS) score of head and neck injury, AIS score of maxillofacial injury, AIS score of chest injury, AIS score of abdominal injury, AIS score of extremities and pelvic injury, AIS score of body surface injury, systolic blood pressure, diastolic blood pressure, heart rate, respiratory rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, Glasgow coma score (GCS) on admission, revised trauma score (RTS) on admission, acute physiology and chronic health assessment II (APACHE II) on admission, injury severity score (ISS) on admission, and laboratory test results on admission including white blood cell count, neutrophil count, lymphocyte count, C-reactive protein, hemoglobin, platelet count, activated partial thromboplastin time (APTT), prothrombin (PT), fibrinogen (FIB), thrombin time (TT), international normalized ratio (INR), D-dimer, blood lactate, base excess, total bilirubin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin, globulin, urea nitrogen, serum creatinine, blood glucose, potassium, sodium and chloronium. In the training set, univariate analysis and Lasso regression analysis were used to screen the risk factors of AKI in patients with multiple trauma, which were then included into multivariate logistic regression analysis to identify the independent risk factors. A nomogram prediction model was constructed using the R software based on the above independent risk factors. Hosmer-Lemeshow (H-L) goodness-of-fit test was performed to evaluate the fitting degree of the prediction model in the training set and the validation set, and the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve (DCA) were plotted in the training set and the validation set to evaluate the predictive performance of the prediction model. Results:There were statistically significant differences in AIS score of abdominal injury, heart rate, body temperature, red blood cell and plasma transfusion volume within 24 hours following admission, emergency surgery, mechanical ventilation, vasoactive drug therapy, GCS on admission, RTS on admission, APACHE II on admission, ISS on admission as well as hemoglobin, platelet count, APTT, PT, FIB, TT, INR, blood lactate, base excess, AST, albumin, globulin, urea nitrogen, serum creatinine, blood glucose and sodium on admission between the AKI group and the non-AKI group ( P<0.05 or 0.01). The characteristic variables screened by Lasso regression analysis included AIS score of abdominal injury, red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drugs therapy, blood lactate on admission, blood creatinine on admission, AST on admission, and blood sodium on admission. Multivariate logistic regression analysis showed that red blood cell transfusion volume within 24 hour following admission ( OR=1.09, 95% CI 1.01, 1.18), mechanical ventilation ( OR=2.49, 95% CI 1.06, 5.85), vasoactive drug therapy ( OR=2.04, 95% CI 1.03, 4.03), blood lactate on admission ( OR=1.10, 95% CI 1.01, 1.21) and serum creatinine on admission ( OR=1.02, 95% CI 1.01, 1.03) were independent risk factors for AKI in patients with multiple trauma ( P<0.05). The regression equation was constructed: Logit[ P/(1- P)]=0.086 2×"red blood cell transfusion volume within 24 hour following admission"+0.912 7×"mechanical ventilation"+0.713 2×"vasoactive drug therapy"+0.098 9×"blood lactate on admission"+0.019 2×"serum creatinine on admission" -4.822 3. H-L goodness-of-fit test showed χ2 value of 9.50 in the training set ( P>0.05) and 6.43 in the validation set ( P>0.05). The results of the ROC curve indicated that the area under the curve (AUC) was 0.84 (95% CI 0.78, 0.89) in the training set and 0.80 (95% CI 0.72, 0.88) in the validation set. The calibration curves showed good agreement with the actual curves, with the predicted probability consistent with the actual probability in both training set and validation set. DCA analysis showed that the threshold probability ranged from 2% to 70% with the net benefit rate of the prediction model greater than 0 in the training set, while the threshold probability ranged from 3% to 69% with the net benefit rate of the prediction model greater than 0 in the validation set. Conclusions:Red blood cell transfusion volume within 24 hours following admission, mechanical ventilation, vasoactive drug therapy, lactate and serum creatinine on admission are independent risk factors for AKI in patients with multiple trauma. The nomogram prediction model based on the above 5 predictive variables of AKI in patients with multiple trauma shows good predictive efficacy and clinical application value.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective:To construct and validate a nomogram model for predicting the risk of 28-day mortality in sepsis patients.Methods:A retrospective cohort study was conducted. 281 sepsis patients admitted to the department of intensive care unit (ICU) of the 940th Hospital of the Joint Logistics Support Force of PLA from January 2017 to December 2022 were selected as the research subjects. The patients were divided into a training set (197 cases) and a validation set (84 cases) according to a 7∶3 ratio. The general information, clinical treatment measures and laboratory examination results within 24 hours after admission to ICU were collected. Patients were divided into survival group and death group based on 28-day outcomes. The differences in various data were compared between the two groups. The optimal predictive variables were selected using Lasso regression, and univariate and multivariate Logistic regression analyses were performed to identify factors influencing the mortality of sepsis patients and to establish a nomogram model. Receiver operator characteristic curve (ROC curve), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC) were used to evaluate the nomogram model.Results:Out of 281 cases of sepsis, 82 cases died with a mortality of 29.18%. The number of patients who died in the training and validation sets was 54 and 28, with a mortality of 27.41% and 33.33% respectively. Lasso regression, univariate and multivariate Logistic regression analysis screened for 5 independent predictors associated with 28-day mortality. There were use of vasoactive drugs [odds ratio ( OR) = 5.924, 95% confidence interval (95% CI) was 1.244-44.571, P = 0.043], acute physiology and chronic health evaluation Ⅱ (APACHEⅡ: OR = 1.051, 95% CI was 1.000-1.107, P = 0.050), combined with multiple organ dysfunction syndrome (MODS: OR = 17.298, 95% CI was 5.517-76.985, P < 0.001), neutrophil count (NEU: OR = 0.934, 95% CI was 0.879-0.988, P = 0.022) and oxygenation index (PaO 2/FiO 2: OR = 0.994, 95% CI was 0.988-0.998, P = 0.017). A nomogram model was constructed using the independent predictive factors mentioned above, ROC curve analysis showed that the AUC of the nomogram model was 0.899 (95% CI was 0.856-0.943) and 0.909 (95% CI was 0.845-0.972) for the training and validation sets respectively. The C-index was 0.900 and 0.920 for the training and validation sets respectively, with good discrimination. The Hosmer-Lemeshoe tests both showed P > 0.05, indicating good calibration. Both DCA and CIC plots demonstrate the model's good clinical utility. Conclusions:The use of vasoactive, APACHEⅡ score, comorbid MODS, NEU and PaO 2/FiO 2 are independent risk factors for 28-day mortality in patients with sepsis. The nomogram model based on these 5 indicators has a good predictive ability for the occurrence of mortality in sepsis patients.

Objective To investigate the influencing factors for acute multiple vessels occlusion(MVO)and its impact on the prognosis of patients with anterior circulation acute large vessel occlusion stroke(ALVOS)who achieved successful recanalization after endovascular treatment(EVT).Methods Patients with anterior circulation ALVOS who received successful EVT at the Yijishan Hospital of Wannan Medical College between July 2015 and April 2023 were retrospectively analyzed.Baseline data,including age,sex,onset-to-puncture time(OTP),onset-to-recanalization time(OTR),medical history(including atrial fibrillation,diabetes,hypertension),alcohol and smoking history,admission blood pressure(systolic and diastolic),Alberta stroke program early CT score(ASPECTS),National Institutes of Health stroke scale(NIHSS)score,trial of Org 10172 in acute stroke treatment(TOAST)classification(atherosclerotic type,cardioembolic type,and other etiology types),and 90-day modified Rankin scale(mRS)score were collected.Collateral circulation was assessed based on the degree of contrast agent reflux observed in the occluded arterial supply area during delayed DSA,and patients were classified into poor and good collateral circulation groups.Malignant cerebral edema was defined as a midline shift of ≥5 mm on the follow-up CT scan performed on day 3 post-surgery.The primary endpoint(efficacy indicator)was the 90-day mRS score,with mRS score≤ 2 considered as a good prognosis and mRS score＞2 considered as a poor prognosis.The secondary endpoint(safety indicator)was the 90-day mortality rate.All patients were divided into MVO and non-MVO groups based on whether they had single or multiple intracranial vessel occlusions.Acute MVO was defined as the detection of acute occlusion of other large or medium vessels,in addition to the main vessels(internal carotid artery or M1/M2 segments of the middle crebral artery[MCA]),in CT angiography,MR angiography,or DSA,resulting in ischemia in brain regions distinct from the main occlusion area.Factors that showed statistically significant differences in univariate analysis were further analyzed using multivariate Logistic regression to identify the risk factors for the occurrence of acute MVO and the factors associated with the prognosis of ALVOS patients.Results A total of 846 patients with ALVOS were included,with ages ranging from 26 to 94 years(mean age[69±11]years).The proportion of male patients was 57.2％(484/846).The median admission ASPECTS was 8(7,9)and the median admission NIHSS score was 14(12,18).The incidence of malignant cerebral edema at 3 days post-surgery was 13.4％(112/835),and the 90-day mortality rate was 19.1％(162/846).(1)Among the 846 ALVOS patients,810(95.7％)were in the non-MVO group and 36(4.3％)were in the MVO group.Univariate analysis showed significant differences between the MVO and non-MVO groups in terms of atrial fibrillation,malignant cerebral edema,admission ASPECTS,admission NIHSS scores,TOAST classification,collateral circulation,rate of complete recanalization,and 90-day poor prognosis rate(all P＜0.05).However,there was no statistically significant difference in 90-day mortality between the two groups(P=0.193).Multivariate Logistic regression analysis showed that TOAST classification of cardioembolic type(OR,16.089,95％CI 1.835-141.061,P=0.012)and other etiology types(OR,9.768,95％CI 1.078-88.540,P=0.043)were associated with the occurrence of MVO.(2)Among the 846 ALVOS patients,445 had a good prognosis at 90days,and 401 had a poor prognosis.Univariate analysis showed that,compared to the good prognosis group,the poor prognosis group had a lower proportion of males and smokers,and a higher proportion of patients with older age,higher baseline systolic blood pressure,hypertension,diabetes,and atrial fibrillation(all P＜0.01).Additionally,the poor prognosis group had higher admission NIHSS scores(P＜0.01),lower admission ASPECTS,lower rates of good collateral circulation and complete recanalization,higher rates of malignant cerebral edema and MVO,and statistically significant differences in TOAST classification distribution(all P＜0.01).Multivariate Logistic regression analysis showed that MVO was associated with poor 90-day prognosis in ALVOS patients after EVT(OR,3.368,95％CI 1.149-9.878,P=0.027).Furthermore,older age(OR,1.045,95％CI 1.025-1.066),diabetes(OR,1.719,95％CI 1.080-2.734),higher baseline systolic blood pressure(OR,1.012,95％CI 1.004-1.019),lower admission ASPECTS(OR,0.746,95％CI 0.674-0.826),higher admission NIHSS score(OR,1.115,95％CI 1.070-1.162),without immediate postoperative complete recanalization(OR,0.413,95％CI 0.290-0.592),poor collateral circulation(OR,0.594,95％CI 0.415-0.851),and malignant cerebral edema(OR,6.191,95％CI 3.026-12.670)were all associated with poor 90-day prognosis after EVT in ALVOS patients(all P＜0.05).Conclusions The TOAST classification of cardioembolic type and other etiology types is associated with MVO.MVO is a risk factor for poor outcomes after successful EVT in ALVOS patients.

Objective To explore the association of the magnitude of systolic blood pressure reduction(SBPr)with post-procedure 24 h symptomatic intracranial hemorrhage(sICH)and 90-day clinical outcomes in patients with successful endovascular thrombectomy(EVT).Methods Consecutively registered patients with EVT caused by anterior circulation large vessel occlusion stroke(LVOS)in the First Affiliated Hospital of Wannan Medical College(Yijishan Hospital)between July 2015 and April 2023 and patients with successful reperfusion were analyzed.Demographic data,medical history(hypertension,diabetes),the trial of Org 10172 in acute stroke treatment(TOAST)classification,the baseline National Institutes of Health Stroke Scale(NIHSS)score and the baseline Alberta stroke early CT(ASPECT)score of patients were collected.And procedure related parameters(including time from onset to puncture,time from onset to reperfusion,occluded site[internal carotid artery,M1 segment of middle cerebral artery,M2 segment of middle cerebral artery],collateral circulation status[determined based on preoperative occluded angiography showing the range of collateral circulation in the occluded vessel area,defined as good collateral circulation with a reflux range of ≥ 50％and poor collateral circulation with a reflux range of＜50％]),immediate postoperative reperfusion status(evaluated using the modified thrombolysis for cerebral infarction[mTICI]grading,successful reperfusion defined as mTICI grading of 2b-3),24 hours sICH,and 90 days clinical outcomes(evaluated using the modified Rankin scale score at 90days after EVT,with a score ≤ 2indicating a good prognosis and a score＞2indicating a poor prognosis).SBPr was defined as(baseline SBP-mean SBP)/baseline SBP x 100％.According to the the magnitude of SBPr,SBPr is divided into 5 categories(＜-10％,-10％-10％,＞10％-20％,＞20％-30％and＞30％).Based on the clinical outcomes at 90 days and the occurrence of sICH at 24 hours after EVT,patients were divided into a good prognosis group and a poor prognosis group,as well as an sICH group and a non-sICH group.The relationship between SBPr and postoperative 90 days clinical prognosis or sICH was analyzed using a binary Logistic regression model.Subgroup analysis was conducted based on a history of hypertension(yes and no),continuous intravenous hypotensive therapy(yes and no),baseline ASPECT scores(3-5 and 6-10),and collateral circulation status(good and bad).Using a restricted cubic plot to depict the relationship between SBPr and sICH and clinical prognosis at 90days.Results(1)In total,731 patients were included.The median age was 71(62,77)years and 424(58.0％)were men.The median baseline NIHSS score was 14(12,18),the median baseline ASPECT was 9(7,10),405(55.4％)patients achieved 90-day modified Rankin scale score 0-2,and 35 patients(4.8％)developed sICH.(2)Multivariate analysis showed that the older age(OR,1.036,95％CI 1.017-1.056),the higher baseline NIHSS score(OR,1.095,95％CI1.049-1.144),the lower baseline ASPECT score(OR,0.704,95％CI 0.636-0.780),diabetes(OR,1.729,95％CI 1.084-2.758),bad collateral circulation(good collateral circulation vs.bad collateral circulation,OR,0.481,95％CI 0.332-0.696)and SBPr＞30％(SBPr-10％-10％as a reference,OR,2.238,95％CI 1.230-4.071),the higher the risk of poor clinical outcomes at 90 days(all P＜0.05).Continuous intravenous hypotensive therapy is a risk factor for postoperative 24 h sICH(OR,2.278,95％CI 1.047-4.953;P=0.038),while SBPr 20％-30％is associated with a lower risk of postoperative 24 h sICH(SBPr-10％-10％as a reference,OR,0.362,95％CI0.131-0.998;P=0.049).(3)The restrictive cube plot shows that there is a U-shaped relationship between SBPr after EVT and poor clinical outcomes at 90 days,while there is a nearly linear relationship with the occurrence of sICH.The more SBP reduction,the lower the incidence of sICH.(4)In the subgroup analyses,in the non-hypertension history and the good collateral circulation group,SBPr＞30％has a higher risk of poor clinical outcomes compared to SBPr-10％-10％(OR and 95％CI were 2.921[1.000-8.528]and 2.363[1.078-5.183],respectively,with P=0.05 or P＜0.05);After EVT,the group receiving continuous intravenous hypotensive therapy and the baseline ASPECT score 6-10 groups showed a significant correlation between SBPr＞30％and poor clinical outcomes at 90 days(SBPr-10％-10％as a reference,OR and 95％CI were 2.646[1.168-5.993]and 2.481[1.360-4.527],respectively,with P＜0.05).The correlation between SBPr and lower incidence of sICH was only found in the subgroup of poor collateral circulation(SBPr-10％-10％as a reference,SBPr＞20％-30％:OR,0.133,95％CI 0.027-0.652;SBPr＞30％:OR,0.104,95％CI 0.013-0.864;all P＜0.05).Conclusions Among patients who achieved successful reperfusion with EVT,SBPr might be related to a worse functional outcome at 90 days and sICH 24 h after operation.However,the relationship may exhibit significant heterogeneity across different subgroups.Baseline ASPECT score,history of hypertension,collateral circulation,and the use of continuous venous hypertension after EVT have been highlighted in individualized blood pressure management after EVT.

Objective:To evaluate the safety and efficacy of endovascular thrombectomy (EVT) in acute anterior circulation large vessel occlusive stroke (ALVOS) and explore the related influencing factors for prognoses in patients with low Alberta Stroke Program Early Computed Tomography Score (ASPECT).Methods:Patients with acute ALVOS who underwent EVT in Yijishan Hospital of Wannan Medical College from January 2019 to June 2022 were sequentially enrolled. (1) Patients were divided into a low ASPECT group (0-5) and a non-low ASPECT group (6-10), and the differences between the two groups were compared with respect to incidence of perioperative complications and good prognosis rate [modified Rankin scale (mRS) score≤2] 90 days after onset. (2) According to the prognoses 90 days after onset, the low ASPECT group was divided into the good prognosis (mRS score≤2) and poor prognosis (mRS score>2) subgroup. Univariate analysis and multivariate logistic regression analysis were used to investigate the independent risk factors for prognoses of the low ASPECT patients after EVT.Results:A total of 582 patients [age 26-94(69±11) years, 345 male patients (59.3%)] were enrolled for analysis. The baseline ASPECT score was 8 (7, 10), and the baseline NIHSS score was 14 (11, 18). Among them, 102 (17.5%) patients were in the low ASPECT score group and 480 (82.5%) patients were in the non-low ASPECT score group. In the total cohort, patients in the low ASPECT score group had a higher incidence of symptomatic intracranial hemorrhage, lower 90-day good prognosis rate, and higher 90-day mortality rate. Further, propensity score matching statistical analysis showed that patients in the low ASPECT score group had a significantly higher incidence of malignant brain edema after EVT treatment (40.0% vs. 17.6%, χ2=9.13, P=0.003), and a significantly lower 90-day good prognosis rate (24.7% vs. 41.6%, χ2=4.96, P=0.026), but there was no significant difference in the incidence of symptomatic intracranial hemorrhage and 90-day mortality between the two groups (40.3% vs. 26.0%, χ2=3.55, P=0.060). Among 102 patients with low ASPECT score, 22 (21.6%) patients had good prognosis and 80 (78.4%) had poor prognosis. Multivariate logistic regression analysis showed that history of atrial fibrillation ( OR=4.478, 95% CI 1.186-16.913, P=0.027) was an independent risk factor for poor prognosis of EVT in patients with low ASPECT score, while good collateral circulation (grade 2 vs. grade 0: OR=0.206, 95% CI 0.051-0.842, P=0.028) was a protective factor for good prognosis of EVT in patients with low ASPECT score. Conclusions:Although the 90-day good prognosis rate of EVT treatment for patients with low ASPECT score was lower than that of the non-low ASPECT group, 21.6% patients still benefitted from EVT treatment, especially patients with non-atrial fibrillation and good collateral circulation. Future studies involving more patients are needed to validate our observations.

Angelicae Sinensis Radix (AS) is reproted to exert anti-depression effect (ADE) and nourishing blood effect (NBE) in a rat model of depression. The correlation between the two therapeutic effects and its underlying mechanisms deserves further study. The current study is designed to explore the underlying mechanisms of correlation between the ADE and NBE of AS based on hepatic metabonomics, network pharmacology and molecular docking. According to metabolomics analysis, 30 metabolites involved in 11 metabolic pathways were identified as the potential metabolites for depression. Furthermore, principal component analysis and correlation analysis showed that glutathione, sphinganine, and ornithine were related to pharmacodynamics indicators including behavioral indicators and hematological indicators, indicating that metabolic pathways such as sphingolipid metabolism were involved in the ADE and NBE of AS. Then, a target-pathway network of depression and blood deficiency syndrome was constructed by network pharmacology analysis, where a total of 107 pathways were collected. Moreover, 37 active components obtained from Ultra Performance Liquid Chromatography-Triple-Time of Flight Mass Spectrometer (UPLC-Triple-TOF/MS) in AS extract that passed the filtering criteria were used for network pharmacology, where 46 targets were associated with the ADE and NBE of AS. Pathway enrichment analysis further indicated the involvement of sphingolipid metabolism in the ADE and NBE of AS. Molecular docking analysis indciated that E-ligustilide in AS extract exhibited strong binding activity with target proteins (PIK3CA and PIK3CD) in sphingolipid metabolism. Further analysis by Western blot verified that AS regulated the expression of PIK3CA and PIK3CD on sphingolipid metabolism. Our results demonstrated that sphingolipid metabolic pathway was the core mechanism of the correlation between the ADE and NBE of AS.
Rats ; Animals ; Rats, Sprague-Dawley ; Molecular Docking Simulation ; Network Pharmacology ; Drugs, Chinese Herbal/chemistry* ; Metabolomics/methods* ; Mass Spectrometry