Tubal ciliary movement is one of the essential transport mechanisms for female fertility, playing a key role in facilitating oocyte pickup and transporting the fertilized ovum. This movement is mediated by multiciliated cells and regulated by specific proteins and hormones that modulate ciliary number, length, polarity, beat frequency, and amplitude to ensure proper function. Genetic mutations, inflammatory stimuli, and hormonal fluctuations can impair ciliary activity or induce ciliary apoptosis, leading to ciliary dysfunction. Disorders of tubal ciliary movement are frequently observed in primary ciliary dyskinesia, pelvic inflammatory disease, polycystic ovary syndrome, and endometriosis, conditions commonly associated with female infertility. These disorders manifest as structural abnormalities of cilia, disrupted polarity, shortened ciliary length, reduced ciliary count, and decreased beat frequency and amplitude. Understanding the role of tubal ciliary movement in female infertility-related diseases, through immunohistochemistry and ultrastructural analysis, helps clarify underlying infertility mechanisms. Identifying abnormal inflammatory factors, hormonal environments, and gene expression, combined with advanced techniques for measuring ciliary protein and beat frequency, may offer novel clinical targets for early prevention and treatment of female infertility.
Humans ; Female ; Infertility, Female/etiology* ; Cilia/physiology* ; Polycystic Ovary Syndrome/physiopathology* ; Fallopian Tubes/physiopathology* ; Endometriosis/complications* ; Pelvic Inflammatory Disease/complications*

Cancer is one of the major fatal diseases that seriously threaten human health， and its burden needs to be solved urgently. Health technology assessment （HTA） can provide scientific evidence-based basis for cancer diagnosis， treatment， prevention and related policy formulation. Cost-utility analysis is the gold standard for economic evaluation in HTA， and the accurate measurement of its health utility is one of the key elements to determine the accuracy of its results. This article focuses on systematic introduction of direct measures， multi-attribute health utility scales， and mapping methods in the field of cancer measurement and reviews their applications in cancer patients. Among them， direct measures are complex， costly， and require a high level of subject knowledge； multi-attribute health utility measures are currently the preferred method for measuring health utility in cancer patients； with the continuous development and refinement of disease-specific utility measures in multi-attribute health utility instruments， the mapping method may gradually decrease in future applications. This paper can provide a reference for the selection of health utility measurement tools for HTA in the field of cancer， and provide evidence-based basis for optimizing resource allocation and policy formulation in the field of cancer.

Objective: To understand the status of childcare center disinfection around the COVID-19 pandemic, the needs of professional technical support, so as to give advice for improvement measures. Methods: Using multi stage stratified sampling method, one was selected from each area of northern and southern Anhui Province, with 3 counties/districts selected from each city. A total of 54, 58, 60 childcare institutions were selected. A questionnaire survey, as well as on site visits and data check were administered in these childcare centers in Anhui Province were implemented. Information regarding the three stage disinfection work from 2019 to 2022 and technical support needs were collected. Results: A total of 54, 58, 60 childcare centers were investigated in 2019, 2020 and 2021-2022. Most of the childcare centers recorded disinfection work (96.3%, 96.6%, 98.3%), while few of them ( 26.4% , 26.3%, 58.3%) monitored disinfection factor intensity. The implementing rate of disinfection effect evaluation was 68.3% at the stage of normal prevention and control, the highest demand rate for professional technical support was guidance and training ( 95.0% ), and the highest demand rate for training content was disinfectant preparation method (81.7%). There were significant differences in the rate of disinfection tableware room allocation (A: 93.3%, B: 70.0%), and the rate of disinfection effect evaluation among different cities (A: 53.3%, B: 83.3%)( χ 2=6.24, 5.46, P <0.05). Conclusions From 2019 to 2022, childcare center disinfection has significantly improved, however, disinfection factor intensity monitoring and disinfection effect evaluation are neglected during the stage of normal prevention and control. The demand for professional technical institutions to provide disinfectant preparation method guidance and training is high.It is suggested to strengthen the monitoring and evaluation of disinfection and related technical guidance.

Objective:To develop an area under curve (AUC)-based nomogram to predict vancomycin-associated nephrotoxicity in critically ill patients.Methods:This retrospective cohort study included adult patients treated with vancomycin in the intensive care unit at a tertiary teaching hospital from January 2015 to December 2017. Baseline clinical characteristics before vancomycin treatment and pharmacokinetic parameters were collected to establish a prediction model of nephrotoxicity. Univariate analysis was used to screen variables, and multivariate logistic regression analysis was used to establish the prediction model and nomogram.Results:A total of 159 patients met the inclusion criteria, sixty-four were included in the final analysis. Sixteen patients (25%, 16/64) developed vancomycin-associated nephrotoxicity. The following variables were incorporated into the prediction model: vancomycin AUC, estimated glomerular filtration rate (GFR), and combined nephrotoxic drugs. The following equation was established to calculate the probability of nephrotoxicity: logit (P)=-4.83+0.009×AUC-2.87×1 (if GFR>60 ml/min)+2.53×1 (if number of combined nephrotoxic drugs≥2). A nomogram was generated based on the equation. The receiver-operating characteristic curve demonstrated that the AUC of the prediction model was 0.927 (95% CI 0.851-1.000). The cut-off value of the probability of nephrotoxicity was 26.48%. The sensitivity and specificity were 87.5% and 87.5% respectively. Conclusion:The incidence of vancomycin-associated nephrotoxicity is high. The AUC-based nomogram can effectively predict vancomycin-associated nephrotoxicity in critically ill patients.

Objective:To investigate the relationship between anemia and renal function prognosis in IgA nephropathy (IgAN) patients.Methods:Patients diagnosed with IgAN by renal biopsy in Shenzhen Second People′s Hospital (The First Affiliated Hospital of Shenzhen University) from January 1, 2010 to December 31, 2018 were retrospectively analyzed. Patients who lacked baseline estimated glomerular filtration rate (eGFR), or patients with the baseline eGFR<15 ml·min -1·(1.73 m 2) -1, or patients who lacked baseline hemoglobin data were excluded. Clinical data, laboratory data, pathological data and follow-up data of renal function were collected. Patients were divided into anemic group (hemoglobin level<120 g/L in males and<110 g/L in females) and non-anemic group. A generalized additive mixed model (GAMM) was used to analyze the relationship between anemia at baseline and decreased renal function (eGFR) in follow-up. Results:A total of 821 IgAN patients were enrolled in this study, including 666 non-anemia patients and 155 anemia patients. There were 397 males (48.36%), aged (34.91±9.46) years. The median baseline eGFR was 72.00(15.00, 167.46) ml·min -1·(1.73 m 2) -1, and the median baseline urinary protein quantification was 1.00(0.01, 15.82) g/24 h. The median follow-up time was 176(0, 3 770) days. A total of 2 352 repeated measurements were performed of which 1 268 (53.91%) repeated measurements were from males. Compared with those in non-anemia group, patients in anemia group had lower levels of baseline eGFR, body mass index (BMI) and serum albumin, higher proportion of females, and higher pathologic manifestations of glomerular segmental sclerosis (S1), tubulointerstitial atrophy/fibrosis (T1 and T2), and crescent (C1 and C2) (all P<0.05). Using the single-factor GAMM, the eGFR decreased by 4.778 ml·min -1·(1.73 m 2) -1 (95% CI 2.727-6.830, P<0.001) more per year in the anemia group than that in the non-anemia group. After adjusting for age, gender, BMI, blood uric acid, mean arterial pressure, serum albumin, blood cholesterol, 24 h urinary protein, glomerular mesangial cell proliferation (M), capillary cell proliferation (E), glomerular segmental sclerosis (S), tubulointerstitial atrophy/fibrosis (T), and crescent formation (C), each additional year of time, eGFR decreased by 6.817 ml·min -1·(1.73 m 2) -1 (95% CI 4.245-9.388, P<0.001) more in the anemia group than that in the non-anemia group. Conclusions:Anemia is correlated with renal function decline in IgAN patiens. IgAN patients with anemia have accelerated deterioration of progress. Early intervention of anemia might delay renal function progression.

Objective:To establish a diagnostic model for glomerular micro thrombosis (GMT) in lupus nephritis through clinical indicators.Methods:A continuous collection of patients diagnosed with lupus nephritis (LN) by renal biopsy in the Department of Nephrology, Shenzhen Second People's Hospital, from January 2010 to March 2021. All patients were admitted and discharged through the inclusion and exclusion criteria. Demographic data, clinical characteristics, biochemical indicators, and immune indicators were collected. A GMT diagnosis model was established from the most important variables among the abovementioned variables through machine learning and Logistic stepwise regression analysis. The model was presented through a nomogram. The receiver operating characteristic curve (ROC), the clinical decision curve and the calibration curve were used to evaluate the model discrimination, clinical use and accuracy, respectively. The internal verification of the model was carried out by repeated sampling 500 times by the Bootstrap method.Results:There were a total of 129 patients with lupus nephritis including the study, including 117 females (90.7%); the average age was (34±11) years. There were 39 patients with GMT (30.2%). Using machine learning to screen out the top 10 important variables from 47 candidate variables, then through logistic stepwise regression analysis, five variables were further screened to establish the diagnostic model of GMT, namely hemoglobin [ OR(95% CI)=0.966(0.943, 0.990), P=0.005], serum C3 [ OR(95% CI)=0.133(0.022, 0.819), P=0.030], systolic blood pressure [ OR(95% CI)=1.027(1.005, 1.049), P=0.017], lymphocyte count [ OR(95% CI)=0.462(0.213, 0.999), P=0.049], and TT [ OR(95% CI)=1.260(0.993, 1.597), P=0.057]. Draw up the equation of the GMT diagnosis model of lupus nephritis and establish a nomogram to present the model. The area under curve (AUC) of the diagnostic model was 0.823, 95% CI(0.753, 0.893), indicating that the model had a reasonable degree of discrimin-ation. The Hosmer-Lemeshow test showed a perfect fit between the predicted GMT risk and the observed GMT risk ( χ2= 14.62, P=0.067). The clinical decision curve and clinical impact curve reflect that the model had a good clinical application value, especially when the threshold probability is between 0.4 and 0.6, the application value is more significant. In addition, after 500 repeated samplings by the Bootstrap method, the average AUC was 0.825, 95% CI(0.753, 0.893), which is basically the same as the AUC obtained by the original model. Conclusion:We established a diagnostic model of GMT inLN based on clinical indicators through machine learning and logistic stepwise regression analysis. It is used for early diagnosis of the risk of GMT before the renal biopsy.

Objective:To investigate the relationship between hemoglobin levels and renal prognosis in patients with IgA nephropathy (IgAN).Methods:The clinical data and pathological examination results of IgAN patients diagnosed by renal biopsy at the Second People's Hospital of Shenzhen from February 25, 2010 to September 9, 2020 were retrospectively collected and analyzed. The patients were divided into anemic group and non-anemic group according to the anemia diagnostic criteria (The hemoglobin levels were<120 g/L and<110 g/L in males and females respectively at sea level area). Endpoint event was defined as a decrease in estimated glomerular filtration rate (eGFR) of>50% from baseline and/or progression to stage 5 chronic kidney disease [eGFR<15 ml·min -1·(1.73 m 2) -1]. Cox regression analysis was used to analyze the factors affecting the poor renal prognosis. The relationship between hemoglobin and renal function prognosis was analyzed by smoothing curve fitting and threshold effect. Kaplan-Meier survival curve was used to compare and analyze the difference of renal survival rate between the anemic and non-anemic IgAN patients. Results:A total of 1 263 IgAN patients were included in this study, 255(20.19%) patients were in the anemia group and 1 008 (79.81%) patients were in the non-anemia group. The anemia group had lower body mass index, baseline eGFR, serum albumin, and triglyceride than those in the non-anemia group (all P<0.05). The proportion of females, 24 h urinary protein content, and the proportion of renal tubule atrophy/interstitial fibrosis, segmental sclerosis and crescents in the anemia group were higher than those in the non-anemia group (all P<0.05). Multivariate Cox regression analysis showed that low hemoglobin was an independent influencing factor for renal endpoint event ( HR=0.25, 95% CI 0.07-0.90, P=0.022). Smoothing curve fitting analysis and threshold effect analysis showed that a curving relationship was detected between hemoglobin and relative risk of renal endpoint event. As hemoglobin increased, there was a protective effect on renal function when hemoglobin level was lower than 147 g/L ( β=0.96, 95% CI 0.94-0.99, P=0.008). Kaplan-Meier survival curve analysis suggested that patients with anemia had a lower cumulative renal survival rate than that of patients without anemia (Log-rank test χ2=10.106, P=0.002). Conclusions:Low hemoglobin is an independent influencing factor for poor prognosis of renal function in IgAN patients. Cumulative renal survival rate is lower in IgAN patients with anemia than that of patients without anemia.

Objective To assess the rate achieving the target vancomycin trough level (VTL) and its influencing factors in critically ill patients.Methods The retrospective observational study recruited adult patients treated with intravenous vancomycin in the intensive care unit (ICU) at Zhongda Hospital from January 2015 to December 2017.Serum VTL was tested at steady state.Patients' demographics,the sites of infection,microbial culture results,the severity of illness,laboratory data and vancomycin regimen were obtained at the baseline.The rate achieving target VTL (15-20 mg/L) was analyzed based on renal function.Linear regression was performed to determine the influencing factors of VTL.Results A total of 85 patients were enrolled,among whom only 23.5％ (20/85) achieved the target VTL.In patients with normal renal function,the achieving rate was only 11.4％ (4/35),and 80.0％ (28/35) was lower than the target trough level multiple linear regression analysis showed that procalcitonin (PCT),estimated glomerular filtration rate (eGFR) and acute physiology and chronic health disease classification system Ⅱ (APACHE Ⅱ) score were independent factors associated with VTL.Conclusion Achieving target VTL in critically ill patients is not satisfactory.Further study to optimize the administration is needed to facilitate prompt attainment of target VTL.

Objective To explore the clinicopathological features and outcomes of IgA nephropathy patients with different proportions of crescents.Methods A total of 270 patients who were diagnosed as IgA nephropathy by renal biopsies from January 2010 to December 2015 in the First Affiliated Hospital of Shenzhen University were enrolled.All patients were divided into 3 groups according to the optimal cutoff level of crescents proportion in the Receiver Operating Characteristic Curve (ROC) as follows:0％,＜ 14％;≥ 14％.The endpoint was defined as the doubling of baseline serum creatinine (Scr) and/or end-stage renal disease (ESRD).Kaplan-Meier curve and Cox regression model were used to analyze the renal survival among three groups.Results One hundred and four patients (38.5％) without any crescents;84 patients (31.1％) with crescents proportion ＜ 14％ and 82 patients (31.4％) with crescents proportion ≥14％.Patients with crescents proportion ≥14％ group were older and had higher level of systolic blood pressure and diastolic blood pressure,24-hour urine protein and serum uric acid level;more patients treated with RAS blocker,glucocorticoid and immunotherapy,but lower eGFR,hemoglobin and serum albumin level than those with crescents proportion ＜ 14％.Compared with those without crescents and crescent proportion ＜ 14％,patients with crescent proportion ≥ 14％ also had higher proportion of global glomerulosclerosis,more endocapillary hypercellularity and severe tubulointerstitial lesions,higher degree of IgA and C3 depositions in renal.24-hour proteinuria,serum uric acid level,low hemoglobin level,endocapillary hypercellularity and renal C3 depositions were risk factors for crescents formation.Patients were followed-up for a median of (31.7±21.0) months,and Kaplan-Meier analysis revealed that renal survival rate was significantly lower in patients with crescents proportion ≥ 14％ compared with other groups (P=0.001).But there was no significant difference between no crescent group and crescents proportion ＜ 14％ group.However,multivariate Cox analysis showed no significant difference between crescents proportion and renal survival.Conclusion Crescents proportion is associated with higher risk of renal function and renal progression.

Objective To investigate the relationship between interventricular septum thickness(IVS) and renal function in patients with diabetes mellitus.Methods Two hundred and sixty-five patients of type 2 diabetes without dialysis were enrolled in a cross-sectional study.According to their IVS,the patients were divided into normal group (IVS≤ 11 mm) and higher IVS group (IVS ＞ 11 mm).All patients according to evaluated glomerular filtration rate (eGFR) level were divided into eGFR≥60 ml· min-1 · (1.73 m2) 1 group and eGFR ＜ 60 ml· min-1 · (1.73 m2)-1 group.The demographic characteristic,biochemical examination,eGFR,and proteinuria of different groups were compared.Pearson or spearman correlation was used to analyze the relationship between eGFR,IVS and other parameters.eGFR ＜ 60 ml · min-1 · (1.73 m2)-1 and IVS thickening were analyzed by binary logistic regression.Risk factors affect the prognosis of renal function in patients with diabetes mellitus were analyzed by Cox regression analysis.Results Compared with normal group,patients in the higher IVS group had higher systolic pressure (P=0.002),their level of Scr,BUN,24 h urinary protein were increased (all P ＜ 0.05),while the level of eGFR,albumin (ALB),hemoglobin (Hb) and fasting blood glucose were decreased (all P ＜ 0.05).The prevalence of hypertension was increased (81.16％ vs 58.67％,x2=11.273,P=0.001),and there was also a difference in the proportion of patients in each stage of CKD (x2=34.593,P ＜ 0.001).Correlation analysis showed that IVS was positively correlated with BMI,systolic BP,Scr,BUN,24 h urinary albumin,24 h urinary protein (all P ＜ 0.05),while negative correlation was observed between the thickened degree of IVS and Hb,albumin,eGFR and total calcium (all P ＜ 0.05).It's worth noting that IVS also correlated with history of hypertension and degree of renal injury (all P ＜ 0.01).Logistic regression analysis showed that longer duration of diabetes,higher systolic pressure and BUN were independent risk factors for eGFR ＜ 60 ml·min-1·(1.73 m2)-1 (all P ＜ 0.05),while higher Hb and Alb were independent protective factors for eGFR ＜ 60 ml· min-1· (1.73 m2)-1 (all P ＜ 0.05).Logistic regression analysis also showed that the baseline increased Scr was independent risk factor for interventricular thickening (P ＜ 0.05),while the increase of fasting blood-glucose was independent protective factor for interventricular thickening (P ＜ 0.05).Cox regression analysis showed that interventricular thickening was an independent risk factor in predicting the progression of type 2 diabetes (HR=1.396,95％ CI=1.098-1.774,P=0.006).Conclusion Interventricular septum thickness is closely related to the state of renal function,as well as is an independent risk factor to predict kidney function decline in patients with type 2 diabetes.