Vascular cognitive impairment has been a research hotspot in the field of neurology in recent years.The Montreal Cognitive Assessment is a rapid screening tool for detecting mild cognitive impairment.Now it has been widely used in the evaluation of vascular cognitive impairment.This article reviews the content,features,application status,and development prospects of the Montreal Cognitive Assessment.

Objective:To evaluate the effectiveness and safety of using apatinib in the treatment of refractory triple-negative advanced breast cancer. Methods:Eight cases of advanced triple-negative breast cancer patients confirmed via histopathology, who were previously treated with anthracycline, taxane, gemcitabine, capecitabine, and 500 mg/d apatinib in our hospital from July 2015 to November 2016, were retrospectively analyzed. The time of disease progress, effective rate, clinical benefits, and side effects were observed. Results:Eight patients were administrated with an average of 4 treatment cycles, and the effects were evaluated after 2 weeks. Four patients exhibited partial remission, 3 had a stable disease, and 1 had a progressive disease. The disease control rate was 87.5%, and the median progression free survival was 4.2 months. The main side effects were hand-foot syndrome (3/8), bone marrow arrest (4/8), hypertension (2/8), proteinuria (3/8), hemoptysis (1/8), nausea (2/8), and fatigue (2/8). Most of these side effects were tolerable. Conclusion:Apatinib can effectively and tolerably prolong survival time and improve the quality of life of patients with advanced triple-negative breast cancer.

Objective To investigate the incidence,characteristics and risk factors of cognitive impairment in patients with transient ischemic attack(TI A) or minor stroke.Methods Montreal cognitive assessment(MoCA) was carried out in 279 patients with TIA or minor stroke and 150 healthy controls to assess their cognitive function.Results (1) Compared with the healthy controls,the TIA/minor stroke patients scored significantly lower on MoCA total score((23.98±2.55) vs (26.60±0.99),t=12.084,P＜0.01) and subtests including visuoexecutive function((3.68±0.94) vs (4.41±0.64),t=8.483,P＜0.01),digital span ((1.81±0.40) vs (1.95±0.23),t=3.771,P＜0.01),attention((0.84±0.37) vs (0.95±0.23),t=3.357,P＜ 0.01),repetition((1.59±0.62) vs (1.89±0.37),t=5.496,P＜0.01),verbal fluency((0.88±0.33) vs (0.95 ± ±0.23),t=2.286,P＜0.05),abstraction((1.55±0.64) vs (1.91±0.34),t=6.357,P＜0.01) and recall ((2.87±1.13) vs (3.18±0.41),t=3.281,P＜0.01) were significantly decreased.(2) Of 279 TIA/Minor stroke patients,213 (76.3％) suffered from cognitive impairment.The incidence of cognitive impairment was positively correlated with the gender,age,educational level,smoking,course,leukoaraiosis,comorbidities such as hypertension,diabetes mellitus(P＜0.05),and negatively correlated with hyperlipidemia(P＞0.05).Conclusion Extensive impairments of cognitive functions occur along with the incidence of TIA or minor stroke.It is thus suggested that cognitive assessment and interventions may be carried out at an early stage.

Objective To explore the inflnence of autologous peripheral blood hematopoietic stem cell transplantation (auto-HSCT) for lymphoma process on the quality of patients blood coagulation.Methods Plasma samples were collected before the conditioning and on day 0,7,14,28,35 follow auto-HSCT from 20 patients.The following parameters were measured:prothrombin time (PT),activated partial thromboplastin time (APTT),fibrinogen (FIB) and D-dimer(D-Di).Results Compared with the values before conditioning,a significant rise in the FIB values was detected on day 7 and day 14 after auto-HSCT,no essentially change in the FIB values was detected on day 21 and day 28 and day 35 after auto-HSCT.Other coagulation parameters investigated(PT.APTT.D-Di) remained essentially unchanged.All of the patients not concurrent thrombotic disease.Conclusion Lymphoma patients with autologous peripheral blood hematopoietic stem cell transplantation appear abnormality in coagulant function.Clinical doctors should concern.

0.05).However,the effect on decreasing mean yearly incidence of RRTI and duration of each onset in group A was superior to that in group B(P0.05).【Conclusion】JY can reduce the mean yearly incidence of RRTI and duration of each onset in preschool children with RRTI,and its mechanism may be related to the regualtion of cellular immune function by improving the parameters of subgroups of T lymphocytes.

Objective To propose a multi-scale convolutional neural network ( CNN) based lesions detection method of fundus image,and evaluate its application in diabetic retinopathy ( DR) assisted diagnosis. Methods A multi-scale CNN based on lesions detection method of fundus image was proposed. Compared with the existing detection methods,the problem of poor robustness based on threshold segmentation and morphological segmentation was overcome. The idea of multi-scale grids detection without relying on manual pixel-by-pixel labeling was adopted in this algorithm,and the detection performance of small lesions was significantly improved. In addition, multiple DR lesions with high accuracy could be detected by the proposed loss function under the condition of weak labels and small data sets. Results At the level of lesions,the sensitivity and specificity of hard exudation lesions detection were 92. 17％ and 97. 17％,respectively. Compared with single-scale method,the sensitivity and accuracy of multi-scale method proposed in this paper increased by 7. 41％ and 5. 02％,respectively,and compared with other algorithm using the same public dataset IDRiD, the specificity of this algorithm increased by 55. 82％. This method could effectively detect the lesions in fundus images,and could give the basic range of the lesions. The average detection time of fundus images with a large number of lesions was 1. 59 seconds. Conclusions The DR lesions in the fundus image can be quickly and reliably identified,the location information of the lesions can be marked,and the influence of subjective factors can be reduced by using this algorithm, and it can be used to assist the clinician to conduct more effectively.

Objective:To evaluate the efficacy and safety of palonosetron in preventing chemotherapy-induced vomiting. Meth-ods:A multi-center, randomized, double-blind, and self-cross-over positively controlled clinical trial design was used. All patients were randomized into two groups, as follows:Regiment A (61 cases) and Regiment B (64 cases). Regimen A with palonosetron hydrochlo-ride injection (test agent) was used in the treatment cycle A, whereas granisetron hydrochloride injection (control drug) was used in the cycle B. Treatments were randomly administered on the patients of the two groups. Regimen B was on the contrary, the control drug was used in the cycle A, and the test agent was used in the treatment cycle B. All patients treated with the test agent were classified as the test group, whereas those treated with the control drug were classified as the control group. Complete control rate and adverse reac-tion of acute and delayed vomiting in the two groups during the two cycles of chemotherapy regimen were compared. Results: In Group One, the complete control rate of delayed vomiting was significantly higher in the palonosetron administration cycles than in the granisetron cycles (76.92%vs. 55.38%, P=0.0110). In the same group, the frequency of vomiting was significantly less in palonosetron cycles than in the granisetron cycles during day 1 to day 5 (1.32±3.42 vs. 1.94±3.03, P=0.0096). The incidences of adverse effects were low in both groups. No grades 3 and 4 adverse effects were observed. Conclusion: Palonosetron showed efficacy in preventing the acute and delayed chemotherapy-induced vomiting. The drug is superior to granisetron, specifically in delaying vomiting in Group One. Palonosetron hydrochloride showed slight adverse effects. Hence, this drug can be used in clinic.

AIM:This study was performed to investigate the impact of neutrophil extracellular traps(NETs)on scar formation following urethral trauma.METHODS:(1)Clinical samples were derived from patients of Department of Urology,The First Affiliated Hospital of Fujian Medical University,from June 2021 to December 2022.Levels of NETs in the blood and urine were compared between patients with urethral trauma(n=20)and those without urethral trauma(controls,n=20).The relationship between NETs and scar formation was analyzed.(2)Urethral fibroblasts were isolated from urethral scar tissues,and neutrophils were induced to produce NETs in vitro.The urethral fibroblasts were treated with normal saline,0.5 mg/L NETs,or 1.5 mg/L NETs to investigate the effects of NETs on activation and collagen syn-thesis of urethral fibroblasts.Additionally,a rabbit model of urethral trauma was established and the animals were dioided into four groups to explore the therapeutic potential of deoxyribonuclease I(DNase I)in preventing urethral scar forma-tion:control,operation + transforming growth factor-β1(TGF-β1),operation + normal saline,and operation+DNase I.RESULTS:The level of NETs in urine increased after urethral trauma(P<0.05),but the level of NETs in blood did not change(P>0.05).In the animal models,the urethral scar became more severe as the level of NETs in the urine increased(P<0.05).At the cellular level,NETs promoted the viability,migration,and collagen synthesis of urethral fibroblasts(P<0.05)..Additionally,urethral injection of DNase I after trauma reduced the level of NETs and inhibited the formation of urethral scar tissue in the animal models(P<0.05).CONCLUSION:Infiltration of NETs promotes activation of urethral fibroblasts and scar formation after urethral trauma.

Objective:To explore the characteristics of BCR-ABL1 kinase domain mutations in imatinib-resistant chronic myelogenous leukemia (CML) and Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph + ALL) patients from Northeast China and their impact on prognosis. Methods:The clinical data of 252 CML patients and 49 Ph + ALL patients who were admitted to the First Hospital of Jilin University from January 2013 to October 2018 were retrospectively analyzed. The samples of bone marrow or peripheral blood were collected from patients when imatinib treatment was not effective. Nested polymerase chain reaction (PCR) was used to amplify the BCR-ABL1 kinase domain, and Sequencing Analysis v5.4 software was used to analyze the mutation of BCR-ABL1 kinase domain. Patients were followed up for 6-48 months, and the survival analysis was performed. Results:Among 252 CML patients, the mutations in ABL1 kinase domain were found in 57 patients (22.6%), including 25 patients in the chronic phase, 21 patients in the accelerated phase and 11 patients in the blast crisis; 50 patients had 20 types of single point mutation, and the most common mutation types were E255K (16.0%, 8/50), T315I (14.0%, 7/50), M244V (8.0%, 4/50) and G250E (8.0%, 4/50), which were all concentrated in the P-loop and C-helix domains; 7 patients had double mutations; patients with multiple mutations had the worst prognosis, with a median overall survival (OS) time of 3.2 months. Among 49 Ph + ALL patients, 17 cases (34.7%) were positive for mutations in the BCR-ABL1 kinase domain, 14 patients had 12 types of single point mutation, and 3 patients had multiple mutations; the median OS time of patients with multiple mutations, mutations located in the P-loop and C-helix domains and mutations located in the other domains was 2.0, 8.0 and 18.0 months, and the difference in OS among the three groups was statistically significant ( P < 0.01). Conclusions:Among the imatinib-resistant CML and Ph + ALL patients from Northeast China, point mutations in the P-loop and C-helix domains are most commonly found. Multiple mutations, mutations in the P-loop and C-helix domains are related to the poor prognosis of the patients.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.