UNASSIGNED: In women receiving chronic dialysis, fertility is impaired. The objectives of this study were to estimate the incidence rate of pregnancies among women of childbearing age (15-50 years) receiving chronic dialysis from 2006 to 2020 in France, to describe the pregnancy outcomes and renal management during pregnancy.
UNASSIGNED: This national observational, retrospective study was based on data from the French REIN registry matched with the National Health Data System.
UNASSIGNED: Over the period 2006 to 2020 in France, 348 pregnancies were identified in 240 women receiving chronic dialysis. The overall incidence of pregnancy was 11.1, 95% confidence interval (CI) (9.9-12.3) cases per 1000 person-years. Hemodialysis was the predominant modality during pregnancy. Main maternal complications were preeclampsia (n = 19) and gestational diabetes (n = 11). The most obstetric complications were premature rupture of membranes (n = 14) and polyhydramnios (n = 5). These pregnancies resulted in 174 (50%) abortions (<22 weeks), including 104 elective abortions (29.9%), 44 miscarriages (12.6%), 17 therapeutic abortions (4.9%), 5 ectopic pregnancies (1.4%), and 4 hydatidiform moles (1.2%). The remaining 174 (50%) pregnancies with deliveries (≥22 weeks) resulted in 166 live births (70 full-term [42.2%], 96 preterm births [57.8%]), and 8 stillbirths. Median gestational age was 36 weeks (32-38) for 174 deliveries.
UNASSIGNED: There have been improvements in maternal and fetal outcomes regarding pregnancy on chronic dialysis. However, our study shows a significant proportion of elective abortions. Better fertility management of women receiving chronic dialysis is advised by contraception or by pregnancy planning and early multidisciplinary follow-up.

Little is known about the prognostic value of left atrial strain by four-dimensional speckle-tracking echocardiography in end-stage renal disease patients with preserved left ventricular ejection fraction. This prospective study collected clinical and echocardiographic data from 80 stable dialysis patients (mean age 57 ± 10 years; 62.5% men). All patients underwent the dedicated four-dimensional speckle-tracking echocardiography to measure LASr (peak longitudinal strain of reservoir function), LAScd (peak longitudinal strain of conduit function), LASct (peak longitudinal strain of contractile function), LASr_c (peak circumferential strain of reservoir function), LAScd_c (peak circumferential strain of conduit function) and LASct_c (peak circumferential strain of contractile function). These patients were enrolled from August 2021 to August 2023 and followed-up for 19 months (interquartile-range 15 to 20 months). The primary outcome was a composite of all-cause mortality or major adverse cardiovascular events (MACEs). The study patients were classified into event (developed mortality or MACEs) and event-free group according to the primary outcome. Multivariate Cox regression analysis was used to investigate risk factors for all-cause mortality or MACEs. The event group had lower LASr (16.4% vs. 21.2%, P = 0.0003), LASct (8.2% vs. 11.2%, P = 0.01), LASr_c (25.2% vs. 35.0%, P = 0.0004) and LASct_c (14.9% vs. 20.9%, P = 0.001) than the event-free group. Using optimal cut-off value determined by ROC curve, the less LASr (LASr < 18.5%), LASct (LASct < 8.5%), LASr_c (LASr_c < 28.5%), and LASct_c (LASct_c < 17.5%) group had a higher mortality or MACEs rate. Multivariate cox regression analyses revealed that LASr (HR = 0.81, 95% CI [0.17; 0.91], P = 0.0005, per 1% increase) and LASr_c (HR = 0.93, 95% CI [0.87; 0.98], P = 0.01, per 1% increase) were independent predictors of all-cause mortality or MACEs. Less peak longitudinal and circumferential strains of reservoir function are predictive of poor prognosis among end-stage renal disease patients with preserved left ventricular ejection fraction.

End-stage kidney disease (ESKD) presents a significant public health challenge, with hemodialysis (HD) remaining one of the most prevalent kidney replacement therapies. Ensuring the longevity and functionality of arteriovenous accesses is challenging for HD patients. Blood flow sound, which contains valuable information, has often been neglected in the past. However, machine learning offers a new approach, leveraging data non-invasively and learning autonomously to match the experience of healthcare professionas. This study aimed to devise a model for detecting arteriovenous grafts (AVGs) stenosis. A smartphone stethoscope was used to record the sound of AVG blood flow at the arterial and venous sides, with each recording lasting one minute. The sound recordings were transformed into mel spectrograms, and a 14-layer convolutional neural network (CNN) was employed to detect stenosis. The CNN comprised six convolution blocks with 3x3 kernel mapping, batch normalization, and rectified linear unit activation function. We applied contrastive learning to train the pre-training audio neural networks model with unlabeled data through self-supervised learning, followed by fine-tuning. In total, 27,406 dialysis session blood flow sounds were documented, including 180 stenosis blood flow sounds. Our proposed framework demonstrated a significant improvement (p<0.05) over training from scratch and a popular pre-trained audio neural networks (PANNs) model, achieving an accuracy of 0.9279, precision of 0.8462, and recall of 0.8077, compared to previous values of 0.8649, 0.7391, and 0.6538. This study illustrates how contrastive learning with unlabeled blood flow sound data can enhance convolutional neural networks for detecting AVG stenosis in HD patients.

Dental caries and periodontal disease are typical oral diseases frequently observed in patients with renal diseases. Tooth loss is an outcome of dental caries and periodontal disease, and the number of existing teeth is an indicator of oral health status. However, the association between the number of existing teeth and end-stage kidney disease (ESKD) has not been investigated in detail. This study aimed to investigate the association between oral health status, expressed by the number of existing teeth, and ESKD. We analyzed data from the second survey of the Longitudinal Evaluation of Multi-phasic, Odontological, and Nutritional Associations in Dentists, a cohort study conducted among members of the Japan Dental Association. From August 2016 to July 2017, self-administered questionnaires were mailed to 16,128 male dentists and 8,722 responded. Among them, 7,479 men with complete data on age, number of existing teeth, and ESKD were included in the analysis. Multivariate logistic regression analysis was conducted, with ESKD as the dependent variable and the number of existing teeth (≥23 teeth and <23 teeth) as the independent variable. Subgroup analysis by age (<65 years and ≥65 years) was also conducted. The <23 teeth group had a significantly higher rate of ESKD than did the ≥23 teeth group. After adjusting for age, body mass index, smoking habits, hypertension, and diabetes mellitus, there was no significant association between having <23 teeth and ESKD in all participants. However, the subgroup analysis revealed a significant association after adjustment for covariates in participants aged <65 years but not in those aged ≥65 years. In conclusion, having <23 teeth was associated with the risk of requiring maintenance dialysis therapy among Japanese men aged <65 years. Therefore, tooth loss may be associated with renal function decline.

Background: Management of body fluid volumes and adequate prescription of ultrafiltration (UF) remain key issues in the treatment of chronic kidney disease patients.Objective: This study aims to estimate the magnitude as well as the precision of absolute blood volume (Vb) modeled during regular hemodialysis (HD) using standard data available with modern dialysis machines.Methods: The estimation utilizes a two-compartment fluid model and a mathematical optimization technique to predict UF-induced changes in hematocrit measured by available on-line techniques. The method does not rely on a specific hematocrit sensor or a specific UF or volume infusion protocol and uses modeling and prediction tools to quantify the error in Vb estimation.Results: The method was applied to 21 treatments (pre-UF body mass: 65.57±13.44 kg, UF-volume: 3.99±1.14 L) obtained in ten patients (4 female). Pre-HD Vb was 5.4±0.53 L with an average coefficient of variation of 9.8% (range 1 to 22%). A significant moderate correlation was obtained when Vb was compared to a different method applied to the same data set (r = 0.5). Specific blood volumes remained above the critical level of 65 mL/kg in 17 treatments (80.9%).Conclusion: The method offers the opportunity to detect critical blood volumes during HD and to judge the quality and reliability of that information based on the precision of the Vb estimate.

UNASSIGNED: Poorly controlled diabetes is a principal cause of end stage renal disease (ESRD), generating an estimated 44% of new cases. Diabetes self-management education and support (DSMES) has been documented to reduce adverse outcomes such as ESRD. Helping patients better manage their condition could ultimately reduce ESRD prevalence.
UNASSIGNED: We compared the county-level availability of DSMES and dialysis as of November 2022 sorted by the estimated prevalence of diabetes among residents aged 18 years or older. The locations of DSMES programs and ESRD dialysis facilities were obtained from 2 professional organizations and the Centers for Medicare & Medicade Services. Estimated diabetes prevalence was obtained from the Centers for Disease Control and Prevention\'s PLACES data set. Counties were considered to have high diabetes prevalence if they fell into the top quartile for diabetes prevalence in 2019 (≥14.4% of adults). Analyses were conducted in 2023.
UNASSIGNED: DSMES was available in 41.0% of counties but in only 20.7% of counties with high diabetes prevalence versus 47.9% of low prevalence counties. Dialysis facilities were present in 59.2% of all counties, in 52.8% of all high diabetes prevalence counties, and in 61.4% of other counties. DSMES availability was linked to the presence of a hospital in the county, with only 6.3% of counties without a hospital offering the service.
UNASSIGNED: DSMES could play a role in reducing the prevalence of ESRD. Public health professionals need to be aware of the differing levels of local availability of this service and work to develop partnerships to provide DSMES in high-prevalence areas not currently served.

BACKGROUND: Adherence to diet is effective for metabolic control in patients on hemodialysis. There are educational pamphlets or booklets to improve patients\' knowledge about healthy diets. As video presentation is more desirable than the presentation of readable materials, we designed an educational video on healthy diets in renal failure patients who was played during several sessions of hemodialysis. We compared the effect of this modality on the knowledge, attitudes and metabolic control of the patients before and after the intervention.
METHODS: In this interventional study, all the patients who were referred to the hemodialysis ward at Ashrafi-Esfahani Medical Center (Tehran, Iran) between May 2018 and March 2019 were enrolled (N = 190). Totally, 130 patients had inclusion criteria. An educational video about a healthy diet was shown seven times (once a week in the first month, once every two weeks in the second month, and once in the third month) during hemodialysis for the patients. The nephrologist prepared a video in the form of a lecture with graphic images for 20 min based on the healthy nutrition of the Kidney Federation of Iran\'s Guide for hemodialysis patients. The questionnaire was completed in terms of awareness and attitudes, and blood and urine tests were performed at the 1st, 3rd, and 12th months. Serum parameters, including electrolytes, lipid profile, CBC-diff, dialysis efficacy (Kt/V), and the URR (urine filtration rate) were examined. Pre and post intervention values were compared via the statistical analysis performed using IBM SPSS. P-Value < 0.05 was significant.
RESULTS: The data of 128 people were analyzed at the end of the study. 55% of patients were 10-40 years old and 60% were male. 56% of patients were illiterate or had an elementary school education. The most common underlying diseases were hypertension and diabetes mellitus. Ten to 19% of participants had enough knowledge about the various components of a healthy diet for patients on hemodialysis. Approximately 25%, 14%, and 45% of the participants consumed a healthy diet for breakfast, lunch and dinner, respectively. A comparison of the mean values of the serum parameters before and after the intervention revealed significant changes in phosphorus, blood urea nitrogen, and hemoglobin with mean differences of -118.41 ± 22.84, 21.51 ± 10.38 (both P < 0.001), and 0.29 ± 1.18 (P = 0.044), respectively. The mean Kt/V was similar at all phases.
CONCLUSIONS: The use of an educational video was effective for normalizing the metabolic parameters in patients under hemodialysis and can be an appropriate option, especially for illiterate patients.
BACKGROUND: IRCT2016082229481N1.

BACKGROUND: Atrial fibrillation (AF) is prevalent among patients with end-stage kidney disease (ESKD) undergoing dialysis, and both conditions are associated with a heightened risk of cardiovascular diseases. Anticoagulation is essential for preventing thromboembolic complications in these patients. This study aimed to evaluate the effects of factor Xa inhibitors compared to vitamin K antagonists (VKAs) for AF patients on dialysis.
METHODS: A comprehensive search of PubMed and Embase databases was conducted to identify relevant studies published up to June 2024. Eligible studies compared factor Xa inhibitors (rivaroxaban, apixaban, edoxaban) with VKAs in AF patients on dialysis, with primary outcomes of stroke or systemic embolism(SSE) and major bleeding.
RESULTS: A total of 7 studies (3 randomized controlled trials and 4 observational cohorts) were included. For the RCTs, the use of factor Xa inhibitors was associated with a reduced risk of SSE compared to VKAs (odds ratio [OR] = 0.37, 95% confidence interval [CI]:0.15-0.93). There was no significant difference in the risk of major bleeding events between the two groups (OR = 0.65, 95%CI:0.32-1.33). Observational cohort studies yielded similar results with a decreased risk of SSE (hazard ratio [HR] = 0.74, 95%CI:0.57-0.96) and no significant difference in major bleeding (HR = 0.87, 95%CI:0.62-1.22). No differences in treatment effect between apixaban and rivaroxaban were observed for efficacy (p-interaction = 0.44) and safety (p-interaction = 0.21) outcomes.
CONCLUSIONS: Factor Xa inhibitors, particularly apixaban and rivaroxaban, were associated with a lower risk of SEE without an increase in major bleeding, which might be convenient alternatives to VKAs in managing AF in patients with ESKD on dialysis.

OBJECTIVE: This study aimed to evaluate inflammatory biomarkers in patients undergoing peritoneal dialysis and investigate their association with all-cause mortality or transfer to hemodialysis.
METHODS: This prospective cohort study included 43 patients undergoing peritoneal dialysis. Plasma levels of cytokines were measured using flow cytometry and capture enzyme-linked immunosorbent assay. Biomarkers were categorized based on their respective median values. Survival analysis was conducted using the Kaplan-Meier estimator, considering two outcomes: all-cause mortality and transfer to hemodialysis.
RESULTS: After adjusting for confounding factors, plasma levels above the median of the levels of CCL2 and plasma, as well as below the median of TNF-α, and the median of dialysate IL-17 levels, were associated with an increased risk of experiencing the specified outcomes after approximately 16 months of follow-up.
CONCLUSIONS: These findings suggest that inflammatory biomarkers may be a valuable tool for predicting all-cause mortality and transfer to hemodialysis in patients undergoing peritoneal dialysis.

UNASSIGNED: Little is known about the effect of combined exposure to different air pollutants on mortality in dialysis patients. This study aimed to investigate the association of multiple exposures to air pollutants with all-cause and cause-specific death in dialysis patients.
UNASSIGNED: This registry-based nationwide cohort study included 90,373 adult kidney failure patients initiating maintenance dialysis between 2012 and 2020 identified from the French REIN registry. Estimated mean annual municipality levels of PM2.5, PM10, and NO2 between 2009 and 2020 were combined in different composite air pollution scores to estimate each participant\'s exposure at the residential place one to 3 years before dialysis initiation. Adjusted cause-specific Cox proportional hazard models were used to estimate hazard ratios (HRs) per interquartile range (IQR) greater air pollution score. Effect measure modification was assessed for age, sex, dialysis care model, and baseline comorbidities.
UNASSIGNED: Higher levels of the main air pollution score were associated with a greater rate of all-cause deaths (HR, 1.082 [95% confidence interval (CI), 1.057-1.104] per IQR increase), regardless of the exposure lag. This association was also confirmed in cause-specific analyses, most markedly for infectious mortality (HR, 1.686 [95% CI, 1.470-1.933]). Sensitivity analyses with alternative composite air pollution scores showed consistent findings. Subgroup analyses revealed a significantly stronger association among women and fewer comorbid patients.
UNASSIGNED: Long-term multiple air pollutant exposure is associated with all-cause and cause-specific mortality among patients receiving maintenance dialysis, suggesting that air pollution may be a significant contributor to the increasing trend of CKD-attributable mortality worldwide.