In order to explore the pathological mechanism of perimenopausal syndrome and seek prevention and treatment measures， it is necessary to establish animal models that similar to human perimenopausal syndrome， so as to provide reference for drug research， new drug development and clinical application. In this paper， the keywords of "perimenopausal period" "perimenopausal syndrome" "menopause" "menopausal syndrome""menopausal period" "menopausal syndrome" and "animal" were searched in China National Knowledge Infrastructure （CNKI）， Chongqing Weipu， China Biomedical Literature Database （CBM） and Pubmed. In addition， the selection of domestic peripheral menopausal syndrome model animals in recent years and the advantages and disadvantages of corresponding models were summarized. A total of 673 studies were identified， of which 61 were included in the analysis. The most common animal model of perimenopausal syndrome is castration model， while the immunodeficiency model is less used. With the aging of the population and the rapid increase of psychosocial stress， the incidence of perimenopausal syndrome is high. Therefore， it is particularly important to explore the mechanism of perimenopausal syndrome. According to the experimental purpose， experimental period， experimental technology and other factors， the selection of appropriate model animals and modeling methods is the key of the success of the experiment of perimenopausal syndrome.

OBJECTIVETo assess the role of direct thrombin inhibitor argatroban in the renal replacement therapy.

METHODSElectronic databases including Cochrane library, PubMed, EMBASE, Highwire, MEDLINE, CBM, CNKI, and CSJD were searched using keywords including "Argatroban", "hemodialysis", "renal function", "renal failure", and "renal replacement therapy". A meta-analysis of all randomized controlled trials(RCTs)comparing argatroban with controls in renal replacement therapy was performed. Both the study selection and the meta-analysis were conducted according to the Cochrane Handbook for systematic reviews. Data were extracted from these trials and analyzed by RevMan 5.0 software.

RESULTSCompared with the control group, argatroban in renal replacement therapy showed no significant difference in mortality(RR=0.97, 95%CI: 0.48-1.97, P=0.93)and bleeding rate(RR=0.71, 95%CI: 0.37-1.34, P=0.29). Argatroban significantly decreased the incidence of new thrombosis in renal replacement therapy for patients with heparin-induced Thrombocytopenia(RR=0.40, 95%CI: 0.21-0.75, P=0.004). Also, argatroban significantly decreased the clotting events in extracorporeal circuit during the renal replacement therapy(RR=0.06, 95%CI: 0.01-0.23, P<0.0001). CONCLUSION Argatroban applied in renal replacement therapy can decrease the incidences of new thrombosis and clotting events in extracorporeal circuit and meanwhile will not increase the mortality and bleeding.

Antithrombins ; therapeutic use ; Hemorrhage ; epidemiology ; Humans ; Incidence ; Pipecolic Acids ; therapeutic use ; Renal Dialysis ; Renal Insufficiency ; Renal Replacement Therapy ; methods ; Thrombosis ; drug therapy

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.