Objective To investigate the influencing factors associated with early neurological deterioration(END)in patients with minor acute ischemic stroke(mAIS),develop a clinical prediction model for END,and identify independent risk factors for 90-day neurological functional outcomes after stroke.Methods mAIS patients admitted consecutively to the Department of Neurology,Yijishan Hospital of Wannan Medical College(the First Affiliated Hospital of Wannan Medical College),from July 2023 to July 2024 were retrospectively collected.A minor ischemic stroke was defined as acute ischemic stroke with a National Institutes of Health stroke scale(NIHSS)score≤5 on admission.Baseline,clinical,and imaging data of all mAIS patients were collected and recorded,including demographic information(age,sex),past medical history(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,alcohol consumption,baseline blood pressure,pre-onset modified Rankin scale(mRS),NIHSS scores at admission and during hospitalization(24 hours,48 hours,72 hours after admission),motor component subscore of the NIHSS scores,NIHSS scores at discharge,trial of Org 10172 in acute stroke treatment(TOAST)classification,laboratory indicators(fasting blood glucose,hemoglobin A1c[HbA1c],total cholesterol,triglycerides,high-density lipoprotein,low-density lipoprotein),clinical treatment information(intravenous thrombolysis,mono antiplatelet therapy,dual antiplatelet therapy,anticoagulation therapy)and length of stay.The status of stenosis and occlusion in the culprit vessel were assessed based on imaging results.Mild-to-moderate stenosis was defined as a stenosis rate of 0％to 69％,severe stenosis as a stenosis rate of 70％to 99％,and occlusion as complete interruption of the supplying artery.END was defined as an increase in NIHSS score of ≥2 points from baseline within 72 hours after admission,combined with an increase of at least 1 point in the motor score compared to the score at admission.Prognosis was assessed via telephone follow-ups at 90-day after onset using mRS score,with an mRS score ≤ 2 indicating a favorable outcome and an mRS score＞2 indicating a poor outcome.Variables with P＜0.05 in the univariate analysis were incorporated into multivariate Logistic regression analysis to identify the independent risk factors for END in mAIS patients.A nomogram model was constructed,and calibration curves along with decision curve analysis were plotted to evaluate the model's goodness-of-fit and clinical utility.Univariate and multivariate Logistic regression analyses were performed to identify factors associated with poor 90-day functional outcome after mAIS.Results(1)A total of 826 patients were included,aged 33-94 years,with a median age of 67(57,76)years.There were 571 males and 255 females.The NIHSS score at admission ranged from 0 to 5,with a median NIHSS score at admission of 3(2,4).The NIHSS motor subscore at admission ranged from 0 to 5,with a median baseline NIHSS motor score of 2(0,2).Among them,119 patients(14.4％)were in the END group and 707 patients(85.6％)were included in the non-END group.At 90days after stroke,744 patients(90.1％)had a favorable outcome,while 82 patients(9.9％)had a poor outcome.(2)Univariate analysis showed that there were statistically significant differences between the END group and the non-END group in terms of HbA1c,fasting blood glucose,baseline NIHSS score,baseline NIHSS motor subscore,history of alcohol consumption,diabetes mellitus,culprit vessel stenosis and occlusion,and TOAST classification(all P＜0.05).Statistically significant differences were observed between the favorable outcome group and the poor outcome group in HbA1c,fasting blood glucose,incidence of END,baseline NIHSS score,discharge NIHSS score,culprit vessel stenosis and occlusion,TOAST classification,and history of alcohol consumption(all P＜0.05).(3)Multivariate Logistic regression analysis indicated that mAIS patients with severe stenosis of the culprit vessel(OR,5.88,95％CI2.32-14.91,P＜0.01),occlusion of the culprit vessel(OR,5.74,95％CI 2.25-14.62,P＜0.01),history of alcohol consumption(OR,5.59,95％CI3.41-9.17,P＜0.01),elevated HbA1c(OR,1.67,95％CI 1.35-2.08,P＜0.01),and higher baseline NIHSS motor score(OR,1.43,95％CI 1.08-1.89,P=0.012)had an increased risk of END.A higher discharge NIHSS score(OR,2.59,95％CI 1.89-3.57,P＜0.01)and the occurrence of END(OR,18.42,95％CI 5.13-66.18,P＜0.01)were associated with poor 90-day functional outcome after mAIS.(4)The nomogram model constructed based on independent risk factors of END in mAIS patients demonstrated an AUC of 0.78(95％CI 0.73-0.83)for predicting END,with a sensitivity of 0.8 and a specificity of 0.7.The model showed good calibration,and the Hosmer-Lemeshow test indicated good agreement between predicted and observed values(P=0.333).Decision curve analysis revealed that the model provided a high net benefit across a range of high-risk thresholds(0.1-0.7),suggesting its potential clinical utility.Conclusions Severe stenosis of the culprit vessel,occlusion of the culprit vessel,glycated hemoglobin levels,baseline NIHSS motor subscale scores,and history of alcohol consumption are independent risk factors for END in patients with mAIS.The nomogram model constructed based on these factors demonstrated good predictive performance.END and NIHSS scores at discharge are independent predictors of poor 90-day outcomes in patients with mAIS.

Objective To investigate the influencing factors associated with early neurological deterioration(END)in patients with minor acute ischemic stroke(mAIS),develop a clinical prediction model for END,and identify independent risk factors for 90-day neurological functional outcomes after stroke.Methods mAIS patients admitted consecutively to the Department of Neurology,Yijishan Hospital of Wannan Medical College(the First Affiliated Hospital of Wannan Medical College),from July 2023 to July 2024 were retrospectively collected.A minor ischemic stroke was defined as acute ischemic stroke with a National Institutes of Health stroke scale(NIHSS)score≤5 on admission.Baseline,clinical,and imaging data of all mAIS patients were collected and recorded,including demographic information(age,sex),past medical history(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,alcohol consumption,baseline blood pressure,pre-onset modified Rankin scale(mRS),NIHSS scores at admission and during hospitalization(24 hours,48 hours,72 hours after admission),motor component subscore of the NIHSS scores,NIHSS scores at discharge,trial of Org 10172 in acute stroke treatment(TOAST)classification,laboratory indicators(fasting blood glucose,hemoglobin A1c[HbA1c],total cholesterol,triglycerides,high-density lipoprotein,low-density lipoprotein),clinical treatment information(intravenous thrombolysis,mono antiplatelet therapy,dual antiplatelet therapy,anticoagulation therapy)and length of stay.The status of stenosis and occlusion in the culprit vessel were assessed based on imaging results.Mild-to-moderate stenosis was defined as a stenosis rate of 0％to 69％,severe stenosis as a stenosis rate of 70％to 99％,and occlusion as complete interruption of the supplying artery.END was defined as an increase in NIHSS score of ≥2 points from baseline within 72 hours after admission,combined with an increase of at least 1 point in the motor score compared to the score at admission.Prognosis was assessed via telephone follow-ups at 90-day after onset using mRS score,with an mRS score ≤ 2 indicating a favorable outcome and an mRS score＞2 indicating a poor outcome.Variables with P＜0.05 in the univariate analysis were incorporated into multivariate Logistic regression analysis to identify the independent risk factors for END in mAIS patients.A nomogram model was constructed,and calibration curves along with decision curve analysis were plotted to evaluate the model's goodness-of-fit and clinical utility.Univariate and multivariate Logistic regression analyses were performed to identify factors associated with poor 90-day functional outcome after mAIS.Results(1)A total of 826 patients were included,aged 33-94 years,with a median age of 67(57,76)years.There were 571 males and 255 females.The NIHSS score at admission ranged from 0 to 5,with a median NIHSS score at admission of 3(2,4).The NIHSS motor subscore at admission ranged from 0 to 5,with a median baseline NIHSS motor score of 2(0,2).Among them,119 patients(14.4％)were in the END group and 707 patients(85.6％)were included in the non-END group.At 90days after stroke,744 patients(90.1％)had a favorable outcome,while 82 patients(9.9％)had a poor outcome.(2)Univariate analysis showed that there were statistically significant differences between the END group and the non-END group in terms of HbA1c,fasting blood glucose,baseline NIHSS score,baseline NIHSS motor subscore,history of alcohol consumption,diabetes mellitus,culprit vessel stenosis and occlusion,and TOAST classification(all P＜0.05).Statistically significant differences were observed between the favorable outcome group and the poor outcome group in HbA1c,fasting blood glucose,incidence of END,baseline NIHSS score,discharge NIHSS score,culprit vessel stenosis and occlusion,TOAST classification,and history of alcohol consumption(all P＜0.05).(3)Multivariate Logistic regression analysis indicated that mAIS patients with severe stenosis of the culprit vessel(OR,5.88,95％CI2.32-14.91,P＜0.01),occlusion of the culprit vessel(OR,5.74,95％CI 2.25-14.62,P＜0.01),history of alcohol consumption(OR,5.59,95％CI3.41-9.17,P＜0.01),elevated HbA1c(OR,1.67,95％CI 1.35-2.08,P＜0.01),and higher baseline NIHSS motor score(OR,1.43,95％CI 1.08-1.89,P=0.012)had an increased risk of END.A higher discharge NIHSS score(OR,2.59,95％CI 1.89-3.57,P＜0.01)and the occurrence of END(OR,18.42,95％CI 5.13-66.18,P＜0.01)were associated with poor 90-day functional outcome after mAIS.(4)The nomogram model constructed based on independent risk factors of END in mAIS patients demonstrated an AUC of 0.78(95％CI 0.73-0.83)for predicting END,with a sensitivity of 0.8 and a specificity of 0.7.The model showed good calibration,and the Hosmer-Lemeshow test indicated good agreement between predicted and observed values(P=0.333).Decision curve analysis revealed that the model provided a high net benefit across a range of high-risk thresholds(0.1-0.7),suggesting its potential clinical utility.Conclusions Severe stenosis of the culprit vessel,occlusion of the culprit vessel,glycated hemoglobin levels,baseline NIHSS motor subscale scores,and history of alcohol consumption are independent risk factors for END in patients with mAIS.The nomogram model constructed based on these factors demonstrated good predictive performance.END and NIHSS scores at discharge are independent predictors of poor 90-day outcomes in patients with mAIS.

Objective To investigate the incidence and types of patient-ventilator asynchrony(PVA)in mechanically ventilated patients within the intensive care unit(ICU),and to identify associated high-risk factors,thereby providing a basis for reducing PVA,enhancing mechanical ventilation efficiency,and refining ventilation strategies.Methods A prospective observational study was conducted among patients admitted to the general ICU of the Affiliated Hospital of Guizhou Medical University from October to December 2024 who were receiving mechanical ventilation.Inclusion criteria were as follows:age ≥18 years and mechanical ventilation duration ≥12 hours.Exclusion criteria included complete controlled mechanical ventilation,palliative care or do-not-resuscitate status,and lack of informed consent.Senior respiratory therapists performed daily bedside observations of ventilator waveforms for 10～15 minutes between 08:00 and 12:00.PVA was diagnosed based on pressure-time and flow-time waveforms,with the types of PVA being recorded.Demographic and clinical data,including age,sex,body mass index(BMI),primary diagnosis,comorbidities,APACHEⅡ score at ICU admission,blood gas analysis,ventila-tion mode and parameters,analgesia and sedation status,duration of mechanical ventilation,and length of ICU stay,were collected.The incidence and types of PVA during the observation period were analyzed.Univariate and multivariate logistic regression analyses were performed to identify high-risk factors for PVA.Clinical outcomes were compared between patients with and without PVA.Results A total of 105 patients and 453 episodes of assisted mechanical ventilation waveforms were analyzed.Among these,60.95％(64/105)experienced at least one episode of PVA.Of the 453 ventilation waveforms assessed,35.76％(162/453)demonstrated PVA.The types of PVA,ranked by incidence,were as follows:cycling mismatch(12.58％,57/453),double triggering(11.92％,54/453),ineffective triggering(9.49％,43/453),flow starvation(5.30％,24/453),and exhalation flow limitation(1.77％,8/453).The incidence of PVA varied significantly across different ventilation modes:45.7％in volume-assist/control ventilation(V-A/C),38.1％in pressure-assist/control ventilation(P-A/C),42.9％in synchronized intermittent mandatory ventilation(SIMV),and 16.7％in pressure support ventilation(PSV)(P<0.001).Multi-variate logistic regression analysis revealed that the mechanical ventilation mode[reference:PSV;V-A/C:OR=4.687,95％CI:2.140～10.263,P<0.001;P-A/C:OR=2.922,95％CI:1.489～5.734,P=0.002;SIMV:OR=4.682,95％CI:1.758～12.466,P=0.002]and actual respiratory rate(OR=1.07,95％CI:1.016～1.127,P=0.011)were significant high-risk factors for PVA.Patients with PVA had a significantly longer duration of mechanical ventilation[8.21(5.35,13.91)days vs.3.00(1.96,5.71)days,P<0.001]compared to those without PVA.Conclusions PVA is commonly observed in ICU patients receiving assisted invasive mechanical ventilation,with cycling mismatch,double triggering,and ineffective triggering being the most prevalent types.The incidence of PVA tends to be lower when using the PSV mode.Clinically,real-time monitoring of patient-ventilator synchrony via ventilator waveforms,along with the optimization of ventilator modes and parameters,should be employed to minimize the occurrence of PVA and enhance the efficiency of mechanical ventilation.

Objective To investigate the incidence and types of patient-ventilator asynchrony(PVA)in mechanically ventilated patients within the intensive care unit(ICU),and to identify associated high-risk factors,thereby providing a basis for reducing PVA,enhancing mechanical ventilation efficiency,and refining ventilation strategies.Methods A prospective observational study was conducted among patients admitted to the general ICU of the Affiliated Hospital of Guizhou Medical University from October to December 2024 who were receiving mechanical ventilation.Inclusion criteria were as follows:age ≥18 years and mechanical ventilation duration ≥12 hours.Exclusion criteria included complete controlled mechanical ventilation,palliative care or do-not-resuscitate status,and lack of informed consent.Senior respiratory therapists performed daily bedside observations of ventilator waveforms for 10～15 minutes between 08:00 and 12:00.PVA was diagnosed based on pressure-time and flow-time waveforms,with the types of PVA being recorded.Demographic and clinical data,including age,sex,body mass index(BMI),primary diagnosis,comorbidities,APACHEⅡ score at ICU admission,blood gas analysis,ventila-tion mode and parameters,analgesia and sedation status,duration of mechanical ventilation,and length of ICU stay,were collected.The incidence and types of PVA during the observation period were analyzed.Univariate and multivariate logistic regression analyses were performed to identify high-risk factors for PVA.Clinical outcomes were compared between patients with and without PVA.Results A total of 105 patients and 453 episodes of assisted mechanical ventilation waveforms were analyzed.Among these,60.95％(64/105)experienced at least one episode of PVA.Of the 453 ventilation waveforms assessed,35.76％(162/453)demonstrated PVA.The types of PVA,ranked by incidence,were as follows:cycling mismatch(12.58％,57/453),double triggering(11.92％,54/453),ineffective triggering(9.49％,43/453),flow starvation(5.30％,24/453),and exhalation flow limitation(1.77％,8/453).The incidence of PVA varied significantly across different ventilation modes:45.7％in volume-assist/control ventilation(V-A/C),38.1％in pressure-assist/control ventilation(P-A/C),42.9％in synchronized intermittent mandatory ventilation(SIMV),and 16.7％in pressure support ventilation(PSV)(P<0.001).Multi-variate logistic regression analysis revealed that the mechanical ventilation mode[reference:PSV;V-A/C:OR=4.687,95％CI:2.140～10.263,P<0.001;P-A/C:OR=2.922,95％CI:1.489～5.734,P=0.002;SIMV:OR=4.682,95％CI:1.758～12.466,P=0.002]and actual respiratory rate(OR=1.07,95％CI:1.016～1.127,P=0.011)were significant high-risk factors for PVA.Patients with PVA had a significantly longer duration of mechanical ventilation[8.21(5.35,13.91)days vs.3.00(1.96,5.71)days,P<0.001]compared to those without PVA.Conclusions PVA is commonly observed in ICU patients receiving assisted invasive mechanical ventilation,with cycling mismatch,double triggering,and ineffective triggering being the most prevalent types.The incidence of PVA tends to be lower when using the PSV mode.Clinically,real-time monitoring of patient-ventilator synchrony via ventilator waveforms,along with the optimization of ventilator modes and parameters,should be employed to minimize the occurrence of PVA and enhance the efficiency of mechanical ventilation.

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.

The well-known insulin-like growth factor 1 (IGF1)/IGF-1 receptor (IGF-1R) signaling pathway is overexpressed in many tumors, and is thus an attractive target for cancer treatment. However, results have often been disappointing due to crosstalk with other signals. Here, we report that IGF-1R signaling stimulates the growth of hepatocellular carcinoma (HCC) cells through the translocation of IGF-1R into the ER to enhance sarco-endoplasmic reticulum calcium ATPase 2 (SERCA2) activity. In response to ligand binding, IGF-1Rβ is translocated into the ER by β-arrestin2 (β-arr2). Mass spectrometry analysis identified SERCA2 as a target of ER IGF-1Rβ. SERCA2 activity is heavily dependent on the increase in ER IGF-1Rβ levels. ER IGF-1Rβ phosphorylates SERCA2 on Tyr⁹⁹⁰ to enhance its activity. Mutation of SERCA2-Tyr⁹⁹⁰ disrupted the interaction of ER IGF-1Rβ with SERCA2, and therefore ER IGF-1Rβ failed to promote SERCA2 activity. The enhancement of SERCA2 activity triggered Ca²⁺_ER perturbation, leading to an increase in autophagy. Thapsigargin blocked the interaction between SERCA2 and ER IGF-1Rβ and therefore SERCA2 activity, resulting in inhibition of HCC growth. In conclusion, the translocation of IGF-1R into the ER triggers Ca²⁺_ER perturbation by enhancing SERCA2 activity through phosphorylating Tyr⁹⁹⁰ in HCC.

Traditional Chinese Medicine (TCM) shows unique advantages in the field of adjuvant treatment of gastric cancer. The main mechanism of TCM in improving gastric cancer includes regulating cell proliferation and apoptosis, reversing cell resistance, reducing the ability of invasion and metastasis and epithelial-mesenchymal transformation, regulating immune function, inhibiting neovascularization, regulating autophagy exosome, and ferroptosis.

【Objective】 To compare the effects of low flux and high flux hemodialysis on insulin resistance (IR), inflammatory factors and coronary artery calcification(CAC) in patients with non-diabetic end-stage renal disease (ESRD), and analyze the related factors affecting the prognosis survival of patients. 【Methods】 A total of 217 patients with non-diabetic ESRD treated in our hospital from February 2015 to April 2017 were selected and randomly divided into control group (n=108) and observation group (n=109) according to the random number table. Low flux and high flux hemodialysis were adopted respectively. Baseline data, renal function, lipid metabolism, inflammatory factors, IR, CAC, complications, outcomes and health and economic benefits of the two groups were compared. The patients were followed up for 3 years and divided into survival group (n=130) and death group (n=75). The clinical data of the two groups were compared and related factors affecting the prognosis and survival were analyzed. 【Results】 Scr, BUN, UAER, TC, TG and LDL-C in the two groups were significantly lower than those before treatment [control group: Scr (μmol/L)349.62±37.16 vs 201.73±24.58, BUN (mmol/L) 28.43±5.39 vs20.81±3.47, UAER(μg /min)60.14±11.52 vs 55.73±9.86, TC (mmol/L)5.46±0.93 vs 4.75±0.69, TG (mmol/L)2.58±0.64 vs 2.13±0.57, LDL-C(mmol/L)3.69±0.73 vs 2.45±0.60; observation group: Scr (μmol/L) 352.14±38.29 vs 136.85±16.47, BUN (mmol/L) 27.96±5.25 vs17.56±3.68, UAER(μg /min) 60.32±12.07 vs 49.85±7.42, TC (mmol/L)5.48±0.97 vs 4.27±0.56, TG (mmol/L) 2.55±0.62 vs 1.49±0.35, LDL-C(mmol/L) 3.72±0.74 vs1.91±0.48), and eGFR and HDL-C were significantly higher than those before treatment [control group: eGFR(mL/min/1.73m)29.32±3.25 vs 72.54±7.86, HDL-C(mmol/L)1.13±0.24 vs1.28±0.31, observation group: eGFR(mL/min/1.73m)30.05±3.29 vs 121.63±13.34, HDL-C(mmol/L)1.09±0.22 vs 1.57±0.46), differences between groups were statistically significant (P<0.05); FBG, FINS, HOMA-IR, IL-6, IL-8, TNF-α and hs-CRP in the two groups were significantly lower than those before treatment [control group: FBG(mmol/L)4.99±0.95 vs 4.52±0.63, FINS(mU/L)12.93±2.54 vs10.15±2.21, HOMA-IR 2.87±0.54 vs 2.04±0.43, IL-6(pg/mL)120.16±13.54 vs 75.94±9.28, IL-8(mg/L)56.83±6.15 vs 41.52±5.38, TNF-α(ng/L)50.03±5.42 vs 45.62±4.81, hs-CRP(mg/L)26.75±2.79 vs 14.37±2.19; observation group: FBG(mmol/L)5.01±0.97 vs 4.11±0.56, FINS(mU/L)13.07±2.62 vs 8.86±1.79, HOMA-IR 2.91±0.55 vs 1.62±0.31, IL-6(pg/mL)119.85±12.91 vs 31.07±4.46, IL-8(mg/L)57.04±6.09 vs 32.65±4.27, TNF-α(ng/L)49.78±5.36 vs 40.15±4.27, hs-CRP(mg/L)23.04±2.82 vs 7.56±1.03], and the CACS score was significantly higher than that before treatment(control group: 26.75±2.79 vs 53.68±26.93, observation group: 27.04±2.82 vs 75.49±7.66), differences between groups are statistically significant (all P<0.05). Compared with the control group, the total incidence of complications during dialysis was significantly lower in the observation group (P<0.05), and has more economic advantages.Venerable age(OR=1.893, P<0.05), low HDL-C level(OR=0.575, P<0.05), high CACS score(OR=2.384, P<0.05), and high hs-CRP level(OR=3.526, P<0.05) were independent risk factors affecting the survival rate of non-diabetic ESRD patients after dialysis treatment (P<0.05). 【Conclusion】 Compared with low-flux hemodialysis, high-flux hemodialysis has significant effects in improving renal function, lipid metabolism, IR, micro-inflammatory state, and reducing CAC progression and complications, with more prominent cost-effectiveness advantages. HDL-C and Hs-CRP levels and CACS scores of patients should be closely monitored during clinical application, and active preventive measures should be taken to improve the survival rate of patients.

Objective: To study the segment of liver according to the large amount of three-dimensional(3D) reconstructive images of normal human livers and the vascular system, and to recognize the basic functional liver unit based on the anatomic features of the intrahepatic portal veins. Methods: The enhanced CT primitive DICOM files of 1 260 normal human livers from different age groups who treated from October 2013 to February 2017 provided by 16 hospitals were analyzed using the computer-aided surgery system.The 3D liver and liver vascular system were reconstructed, and the digital liver 3D model was established.The vascular morphology, anatomical features, and anatomical distributions of intrahepatic portal veins were statistically analyzed. Results: The digital liver model obtained from the 3D reconstruction of CAS displayed clear intrahepatic portal vein vessels of level four.Perform a digital liver segments study based on the analysis of level four vascular distribution areas.As the less anatomical variation of left hepatic portal vein, the liver was classified into four types of liver segmentation mainly based on right hepatic portal vein.Type A was similar to Couinaud or Cho′s segmentation, containing 8 segments(537 cases, 42.62%). Type B contained 9 segments as there are three ramifications of right-anterior portal vein(464 cases, 36.82%). The main difference for Type C was the variation of right-posterior portal vein which was sector shape(102 cases, 8.10%). Type D contained the cases with special portal vein variations, which needs three-dimensional simulation to design individualized liver resection plan(157 cases, 12.46%). These results showed that there was no significant difference in liver segmental typing between genders(χ²=2.179, P=0.536) and did not reveal any significant difference in liver segmental typing among the different age groups(χ²=0.357, P=0.949). Conclusions The 3D digital liver model can demonstrate the true 3D anatomical structures, and its spatial vascular variations.The observation of anatomic features, distribution areas of intrahepatic portal veins and individualized liver segmentation achieved via digital medical 3D visualization technology is of great value for understand the complexity of liver anatomy and to guide the precise hepatectomy.

Neuroendocrine tumors(NET) is a rare tumor with high heterogeneity.Pancreatic NET is the most common type in China. European Neuroendocrine Tumor Society(ENETS) has launched the ENETS guidelines since 2006 and published the ENETS standard of care in 2009. With the newly targeted therapies and further research on NET, 2017 new edition of the ENETS standard of care has changed a lot in the diagnosis and treatment of NET. This article explains the update of pancreatic NET in the 2017 edition of the ENETS standard of care, and introduces pancreatic NET from pathology, imaging examination, surgery, systemic therapy, etc., and deepens the understanding of the diagnosis and treatment of pancreatic NET.