Atherosclerosis （AS） is a chronic and inflammatory vascular disease. Macrophages are common immune cells and play an important role in the development of AS. In recent years， research has found that the formation of AS plaques is closely related to pathological and physiological processes such as macrophage polarization， energy metabolism， and lipid phagocytosis. This review aims to summarize the mechanism of macrophages in the development of AS， and to explore potential therapeutic methods for delaying AS by regulating macrophages， providing new ideas for the treatment and research of AS.

Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*

Objective:To construct a Harvard cancer index-based risk predictive model for perioperative venous thromboembolism (VTE) in elderly patients with femoral neck fracture and assess its predictive effectiveness.Methods:A retrospective cohort study was conducted to analyze the clinical data of 610 elderly patients with femoral neck fracture admitted to Peking Union Medical College Hospital between January 2013 and December 2022, including 193 males and 417 females, aged 60-99 years [(77.3±9.0)years]. The patients were divided into VTE group ( n=125) and non-VTE group ( n=485) according to occurrence of VTE during the perioperative period. The two groups were compared in terms of gender, age, body mass index, smoking status, alcohol consumption, time from fracture to admission, surgical waiting time, comorbidities, perioperative electrolyte disorders, past or present history of malignancy, past history of deep vein thrombosis (DVT) or pulmonary embolism (PE), and preoperative use of oral anticoagulants. Univariate analysis and multivariable stepwise Logistic regression analysis were conducted to evaluate and identify independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. A perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed using the Harvard cancer index: (1) assigning a risk score to each variable according to the corresponding conversion criteria of the Harvard cancer index and risk score, based on the magnitude of their ORs; (2) determining the exposure rate of each risk factor based on the population distribution observed in this study; (3) calculating the average population risk score; (4) computing the individual VTE risk score; (5) deriving the ratio (X) of each individual ′s VTE risk score to the population average. Based on the Harvard cancer index classification criteria for disease risk levels, individual VTE risk categories were determined. The predictive performance of the risk stratification was evaluated by comparing the incidence of VTE across different risk levels. The predictive performance of the model was evaluated based on sensitivity, specificity, and the area under the receiver operating characteristic (ROC) curve (AUC). The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) test and internal validation was performed using the bootstrap resampling method with 1000 iterations. Results:Univariate analysis showed that gender, age, time from fracture to admission, surgical waiting time, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, history of DVT or PE, and preoperative use of oral anticoagulant drug were moderately associated with the occurrence of VTE in elderly patients with femoral neck fracture ( P<0.10). Multivariable stepwise logistic regression analysis demonstrated that female gender ( OR=2.26, 95% CI 1.34, 3.80, P<0.01), time from fracture to admission>1 day ( OR=3.70, 95% CI 2.24, 6.12, P<0.01), surgical waiting time>70 hours ( OR=2.06, 95% CI 1.29, 3.30, P<0.01), previous cerebral infarction ( OR=3.78, 95% CI 1.04, 13.76, P<0.05), stroke within the past month ( OR=11.57, 95% CI 1.21, 110.44, P<0.05), Alzheimer′s disease ( OR=3.26, 95% CI 1.12, 9.49, P<0.05), primary Parkinson ′s syndrome ( OR=3.47, 95% CI 1.22, 9.85, P<0.05), previous hysterectomy with bilateral adnexectomy ( OR=4.75, 95% CI 2.09, 10.80, P<0.01), perioperative electrolyte disorders ( OR=2.73, 95% CI 1.39, 5.35, P<0.01), and preoperative oral anticoagulant use ( OR=3.86, 95% CI 1.18, 12.67, P<0.05) were significantly associated with the occurrence of perioperative VTE in elderly patients with femoral neck fracture. Based on the above 10 risk factors, a perioperative VTE risk predictive model for elderly patients with femoral neck fracture was constructed with the Harvard cancer index. The formula was as follows: X=[10×(female gender)+25×(time from fracture to admission>1 day)+10×(surgical waiting time>70 hours)+25×(previous cerebral infarction)+50×(stroke within the past month)+25×(Alzheimer′s disease)+25×(primary Parkinson′s disease)+25×(previous hysterectomy with bilateral adnexectomy)+10×(perioperative electrolyte disorders)+25×(preoperative use of oral anticoagulant drug)]/33. Individualized VTE risk was classified into five levels: very low, low, moderate, high, and very high, with corresponding VTE rates of 4.8%, 11.8%, 14.9%, 32.3%, and 73.5%, respectively ( χ2=87.71, P<0.01). The VTE risk predictive model demonstrated an AUC of 0.74 (95% CI 0.69, 0.79, P<0.01), with a sensitivity of 63.2% and specificity of 74.8%. The H-L goodness-of-fit test indicated satisfactory model calibration ( P>0.05). The internal validation with the bootstrap method confirmed that the AUC remained 0.74. Conclusions:Female gender, time from fracture to admission>1 day, surgical waiting time>70 hours, previous cerebral infarction, stroke within the past month, Alzheimer′s disease, primary Parkinson′s syndrome, hysterectomy with bilateral adnexectomy, perioperative electrolyte disorders, and preoperative use of oral anticoagulant drug are independent risk factors for perioperative VTE in elderly patients with femoral neck fracture. Based on these factors, the perioperative VTE risk predictive model constructed using the Harvard cancer index demonstrates good clinical predictive value. Individualized VTE risk stratification can effectively identify high-, intermediate-, and low-risk populations, providing a valuable reference for tailoring anticoagulant prophylaxis strategies and enhancing postoperative surveillance.

Purpose To assess the right atrial and right ventricular strain and right ventricular-pulmonary artery(RV-PA)coupling in rheumatoid arthritis(RA)via two-dimensional speckle tracking.Materials and Methods Sixty patients with RA in the General Hospital of Ningxia Medical University from June 2020 to June 2022 were prospectively selected,and all RA patients were divided into three groups according to pulmonary artery systolic pressure(PASP),including group A(n=20 cases)with PASP<33 mmHg,group B(n=20 cases)with PASP 33-39 mmHg as mild ePH,and group C(n=20 cases)PASP≥40 mmHg,twenty healthy individuals were selected as the control group.All subjects underwent transthoracic echocardiography,and right atrial and right ventricular systolic function was assessed by two-dimensional speckle tracking technique,and RV-PA coupling was assessed noninvasively by right ventricular free wall strain/pulmonary artery systolic pressure(RV FWS/PASP),pulmonary function was analyzed by pulmonary function instruments.Spearman's analysis was used to analyze the correlation between right heart function and RV-PA coupling to pulmonary diffusion function.Results There were statistical differences in right ventricular base diameter,right atrium diameter,tricuspid annular plane systolic excursion,inferior vena cava diameter,PASP,right ventricular global strain,RV FWS,right atrium strain-reservoi,right atrium strain-conduit(S-CD),RV FWS/PASP among the four groups(F/H=2.369-74.880,all P<0.05).Right atrium strain-reservoi[(36.0±7.9)%vs.(30.9±7.8)%],right atrium S-CD[(19.9±6.9)%vs.(15.3±4.7)%]and RV FWS/PASP(0.96±0.19 vs.0.56±0.13)in group B were significantly lower than those of group A(t=2.040,2.262,7.704,all P<0.05).There was a good correlation between diffusing capacity of the lung for carbon monoxide single-breathmethod and right ventricular global strain,RV FWS,right atrium S-CD and RV FWS/PASP in RA patients(r=0.392,0.472,0.431,0.572,all P<0.05).Conclusion The more increases of pulmonary artery pressures,the more decreases of right heart function in RA patients,and the more uncoupling in RV-PA.Right heart dysfunction and right ventricle-pulmonary artery uncoupling have developed in RA patients with PASP 33-39 mmHg,with association of pulmonary diffusion dysfunction.

Objective To investigate the predictive factors for death within 30 days after admission in patients with decompensated liver cirrhosis and acute kidney injury(AKI),and to establish and validate a nomogram prediction model.Methods The Joint Medical Record Management System of The First Affiliated Hospital of Nanchang University was used to obtain the patients with decompensated liver cirrhosis who were hospitalized in Department of Gastroenterology and Department of Infectious Diseases from January 2015 to December 2020,among whom 330 patients who met the 2015 International Club of Ascites diagnostic criteria for AKI were enrolled and divided into training group with 193 patients and validation group with 137 patients.A Cox regression analysis was used to investigate the predictive factors for death,and then a nomogram prediction model for the risk of death within 30 days after admission was established and validated.The independent-samples t-test was used for comparison of normally distributed continuous data between two groups,and a one-way analysis of variance was used for comparison between multiple groups,while the least significant difference t-test was used for further comparison between two groups;The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups,while the Kruskal-Wallis H test was used for comparison between multiple groups.The chi-square test or the Fisher's exact test was used for comparison of categorical data between groups.Results The prevalence rate of AKI was 16.5%in patients with decompensated liver cirrhosis.The 330 patients included in the study had a mean age of 53.6±12.4 years,and male patients accounted for 79.1%.The mortality rate was 50.0%within 30 days after admission,with a mortality rate of 46.6%in the training group and 54.7%in the validation group.The presence of acute-on-chronic liver failure(ACLF)on admission was an independent risk factor for the progression of AKI into stage 1(odds ratio=2.571,95%confidence interval:1.143-5.780,P=0.022).The nomogram based on white blood cell count,international normalized ratio,presence or absence of hepatic encephalopathy,and AKI stage on admission could well predict the risk of death with 30 days after admission,with a C-index of 0.680 in the training group and 0.683 in the validation group,and it was not inferior to CTP score and MELD score.Conclusion ACLF is an independent risk factor for the progression of AKI into stage 1.The nomogram prediction model established in this study can effectively predict the risk of death within 30 days after admission and thus has important guiding significance for the early identification and management of patients with decompensated liver cirrhosis and AKI.

Objective To observe the value of left atrial strain combined with electrocardiogram(ECG)P-wave parameters for predicting recurrence of paroxysmal atrial fibrillation(PAF)after pulmonary vein isolation(PVI)using radiofrequency catheter.Methods Totally 88 PAF patients who planned to receive the first PVI were prospectively enrolled and divided into recurrence group(n=30)and non-recurrence group(n=58)according to results of ECG within 6 months after PVI.The patients'basic data,the transthoracic echocardiography(TTE)parameters,including left atrial reservoir strain(LASr),left atrial conduct strain(LAScd)and left atrial contraction strain(LASct),as well as ECG parameters including P-wave duration,PR interval and P/PR(the ratio of P-wave duration to PR interval)were compared between groups.Multivariate logistic regression analysis was performed of parameters being statistically different between groups to screen independent predictors for recurrence of PAF after PVI.The receiver operating characteristic curve and the area under the curve(AUC)were used to evaluate the predicting efficacy of individual independent predictors alone and their combination,and DeLong test was used for comparison.Results No significant difference of patients'basic data was found between groups(all P＞0.05).Compared with those in non-recurrence group,LASr and LAScd decreased while P/PR increased in recurrent group(all P＜0.05).LASr(OR=0.805),LAScd(OR=0.850)and P/PR(OR=1.119)were all independent predictors for recurrence of PAF after PVI(all P＜0.05),with AUC of 0.755,0.643 and 0.771,respectively,all lower than their combination(AUC=0.869)(all P＜0.05).Conclusion TTE and ECG parameters could be used to predict recurrence of PAF after PVI.The predicting efficacy of the combination of LASr,LAScd and P/PR was better than that of each alone.

Objective To explore the action of Bufei Jianpi formula(BJF)on mitochondrial damage to skeletal muscle in chronic obstructive pulmonary disease(COPD)rats via its regulation of the IRS-1/PI3K signaling axis.Methods 60 SPF SD rats were randomly divided into Control group,Model group(COPD stable stage group),aminophylline(Am)group,BJF group,pioglitazone(PIO)group and BJF+PIO group,with 10 rats per group.A stable COPD rat model was established via forced smoking and Klebsiella pneumoniae nasal drip method.Samples were taken from the 9th week to the end of the 20th week,and the weight of the rats was measured every week.Routine sectioning and HE staining were performed on lung and skeletal muscle tissue,and corresponding pathological changes were observed under a light microscope.The lung function of the rats was observed by whole-body plethysmography in weeks 0,8,and 20,including tidal VT,PEF,and EF50.The mRNA expression of IRS-1,leptin,PGC1-α,and PI3K in rat skeletal muscle was detected by qPCR.The expression of PGC-1α,TFAM,IRS-1,PI3K,AKT,p-AKT,and leptin in rat skeletal muscle tissue was detected by Western blot.Results The Model group,but not the Control group,showed a large number of inflammatory cells infiltrating the alveolar interstitium and bronchus,indicative of lung disease;some alveolar walls had broken and fused to form air cavities,and fiber networks were destroyed.After drug treatment,the rats showed improved alveolar wall and fiber network integrity and reduced inflammatory cell infiltration in the bronchus,especially those in the BJF and Am groups.In the drug treatment groups,the skeletal muscle pathology of each group showed improved spatial arrangement,the atrophy and fracturing of muscle fibers were ameliorated to different degrees,and cytoplasmic staining of muscle cells was uneven,and the BJF group showed the most significant effects.Compared with the Control group,the Model group's PEF,VT,and EF50 significantly decreased from week 8(P＜0.01),while the BJF,BJF+PIO and Am groups had significantly increased PEF and EF50(P＜0.01).Compared with Control group,the Model group's mRNA and protein expression levels of IRS-1,PGC-1α,and PI3K were significantly decreased(P＜0.05,P＜0.01),the level of leptin was significantly increased(P＜0.01).Compared with the Model group,the mRNA and protein expressions of IRS-1,PGC-1α and PI3K in the BJF group were significantly increased(P＜0.05,P＜0.01),and the mRNA expression of IRS-1 in the PIO group was significantly increased(P＜0.01).The BJF+PIO group's mRNA levels of PGC-1α(P＜0.01)and mRNA and protein levels of IRS-1 and PI3K were significantly increased(P＜0.05,P＜0.01).The mRNA and protein expression levels of PI3K in the Am group were significantly increased(P＜0.01).The expression levels of leptin mRNA were significantly decreased in the four treatment groups(P＜0.01),and the expression of leptin protein was significantly decreased in all treatment groups except the Am group(P＜0.01).Compared with the Control group,the Model group's quadriceps femoris tissue showed a significant decrease in TFAM and p-AKT expression.TFAM and p-AKT expression in all the treatment groups showed an increasing trend,but the difference was not statistically significant(P＞0.05).Conclusions By regulating the IRS-1/PI3K signaling axis,Bufei Jiempi reduces mitochondrial damage to skeletal muscle,increases the expression of PGC-1α and mitochondrial transcription factor TFAM,enhances mitochondrial biosynthesis,and reduces pathological damage to lung and skeletal muscle tissue.

Objective:To compare the prevalence of frailty and related factors in middle-aged and elderly people aged ≥45 years in island and mountainous areas of Taizhou, Zhejiang Province.Methods:Based on cross-sectional design, stratified cluster sampling and quota sampling methods were adopted. One administrative district was randomly selected from each of six coastal and three inland administrative districts in Taizhou during July to August, representing two different geographical terrains. In the island area (Jiaojiang District), all residents aged ≥45 years were included by cluster sampling. In the mountainous area (Xianju County), participants were selected through quota sampling, with same gender and age distributions. Data about their demographic characteristics, lifestyle and health-related factors were collected through questionnaire surveys and laboratory examinations. The prevalence of frailty was assessed using the Fried frailty phenotype scale. Hierarchical analysis and multivariate logistic regression analysis were used to compare the influencing factors of frailty.Results:A total of 1 011 local residents were studied, in whom island and mountainous residents accounted for 48.1% (486/1 011) and 51.9% (525/1 011) respectively; men and women accounted for 45.9% (464/1 011) and 54.1% (547/1 011) respectively. Middle-aged (45-49 years), younger elderly (60-74 years), and older elderly (≥75 years) residents accounted for 38.6% (390/1 011), 44.6% (451/1 011), and 16.8% (170/1 011) respectively. The overall prevalence rate of frailty was 3.6% (36/1 011), the prevalence rate was 3.7% (17/464) in men and 3.5% (19/547) in women. The prevalence rates in age groups 45-59,60-74 years and ≥75 years were 0.3% (1/390), 2.2% (10/451), and 14.7% (25/170), respectively. The prevalence rates of frailty and pre-frailty in island area were 6.0% (29/486) and 39.1% (190/486), respectively, which was higher than those in mountainous area (1.3%, 7/525) and (30.9%, 162/525). After adjusting for potential confounding factors, the risk for frailty in island residents was significantly higher than that in mountainous residents (a OR=1.55,95% CI: 1.07-2.25, P=0.019). In island area, older age (60-74 years:a OR=2.52,95% CI: 1.56-4.13; ≥75 years:a OR=11.65,95% CI:5.38-26.70), being women (a OR=1.94,95% CI: 1.20-3.17), suffering from depression (a OR=1.09,95% CI:1.02-1.17) were associated with frailty symptoms. In mountainous area, older age was also associated with an increased risk of frailty symptoms, but the OR value was lower than those in island area (60-74 years: a OR=1.74,95% CI:1.04-2.94;≥75 years: a OR=4.78,95% CI:2.45-9.50). Polydrug use (a OR=2.08,95% CI: 1.14-3.80) and suffering from depression (a OR=1.10,95% CI: 1.02-1.18) had significant positive association with frailty symptoms. Higher education level had significant negative association with frailty symptoms (junior high school: a OR=0.40,95% CI: 0.21-0.75; senior high school and technical secondary school: a OR=0.29,95% CI: 0.15-0.53; college or above:a OR=0.22,95% CI: 0.11-0.42). Conclusions:The prevalence of frailty in middle-aged and elderly community residents was significantly higher in island area than in mountainous area in Taizhou. The frailty-related factors varied with area. The elderly people (≥75 years) and women in island area had higher risk for frailty. Older age and suffering from depression were the independent risk factors for frailty. It is necessary to pay attention to the health risk factors and special environment in island area, and take comprehensive intervention measures to delay the process of debilitation and improve the quality of life of middle-aged and elderly people.

Objective:To explore the expression levels of adrenomedullin (ADM) in follicular fluid of patients with polycystic ovary syndrome (PCOS) and its correlation with ovarian function and inflammation.Methods:To conduct a cohort study, the data on infertile couples who received an antagonistic regimen of in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) to promote ovulation from March to December 2023 at the Reproductive Medicine Center of Shanxi Children's Hospital (Shanxi Maternal and Child Health Hospital) were collected. PCOS patients were selected as the PCOS group, and patients who underwent IVF/ICSI assisted pregnancy solely due to tubal and/or male factors during the same period were selected as control group. The general clinical data of two groups of patients were analyzed, and the expression of ADM, interleukin 1β (IL-1β), IL-18, transforming growth factor β (TGF-β) in the follicular fluid were compared between the two groups of patients. And taking the concentration of ADM in follicular fluid as the main research indicator, correlation and multiple linear regression analysis were conducted with other indicators. Simultaneously the ADM mRNA expression, cell cycle and cell apoptosis of granulosa cells were compared between the two groups. Results:This study included 20 cases in the PCOS group and 20 cases in control group. Compared with control group, the expression of ADM in follicular fluid and granulosa cells of patients with PCOS were significantly lower (both P<0.001), while its testosterone, the ratio of luteinizing hormone and follicle-stimulating hormone, antral follicle count (AFC), number of retrieved eggs, ovarian sensitivity index, as well as IL-1β, IL-18 and TGF-β in follicular fluid were higher and negatively correlated with ADM ( r=-0.37, P=0.019; r=-0.32, P=0.047; r=-0.50, P<0.001; r=-0.38, P=0.017; r=-0.38, P=0.016; r=-0.44, P=0.005; r=-0.37, P=0.018; r=-0.54, P<0.001). Multiple linear regression showed that AFC, gonadotropin initiation dose, IL-1β and TGF-β were the independent related factors that affect local ADM levels ( r=-0.37, P=0.008; r=-0.27, P=0.035; r=-0.28, P=0.028; r=-0.45, P<0.001). There was no statistically significant difference in the cell cycle of granulocytes between the two groups ( P>0.05), but the apoptosis rate (AR) of granulocytes was higher in the PCOS group than in control group (median AR in the PCOS group was 46.07%, median AR in control group was 28.57%, n=10, P=0.036). Conclusion:The decreased expression of ADM in follicles of PCOS patients is related to ovarian endocrine disorders, multiple vesicles, high ovarian responsiveness and local inflammatory status.