The Ottawa Statement implementation guidance document for cluster randomized trials in the hemodialysis setting.

Research teams are increasingly interested in using cluster randomized trial (CRT) designs to generate practice-guiding evidence for in-center maintenance hemodialysis. However, CRTs raise complex ethical issues. The Ottawa Statement on the Ethical Design and Conduct of Cluster Randomized Trials, published in 2012, provides 15 recommendations to address ethical issues arising within 7 domains: justifying the CRT design, research ethics committee review, identifying research participants, obtaining informed consent, gatekeepers, assessing benefits and harms, and protecting vulnerable participants. But applying the Ottawa Statement recommendations to CRTs in the hemodialysis setting is complicated by the unique features of the setting and population. Here, with the help of content experts and patient partners, we co-developed this implementation guidance document to provide research teams, research ethics committees, and other stakeholders with detailed guidance on how to apply the Ottawa Statement recommendations to CRTs in the hemodialysis setting, the result of a 4-year research project. Thus, our work demonstrates how the voices of patients, caregivers, and all stakeholders may be included in the development of research ethics guidance.

Prevalence and risk factors of long COVID among maintenance hemodialysis patients post SARS-CoV-2 infection: A one-year follow-up study in China.

Patients undergoing maintenance hemodialysis (MHD) are a high-risk group susceptible to SARS-CoV-2 infection and long-COVID syndrome appearance. However, there is limited and unclear evidence for long COVID in MHD patients. We collected the general information, symptoms, signs and laboratory indices of 366 MHD patients infected with COVID-19 and conducted 12 months follow-up with a series of questionnaires. As a result, 285 MHD patients had long COVID, with the most common symptoms were fatigue (84.69%) and muscle weakness (72.45%). Mobility problem (p < 0.001), anxiety/depression (p = 0.002) and breathlessness (p < 0.001) were more prevalent in long COVID patients than in non-long COVID patients. Persistent long COVID people were more likely to report all domains problems of the EQ-5D-5L. Age, female, inadequate dialysis (Kt/V < 1.2), coagulation abnormalities (d-dimer > 1 mg/L) and more comorbidities were risk factors for the development of long COVID. In addition to these factors, elevated inflammatory markers (CRP > 10 mg/L) represent an extra risk factor for the persistence of long COVID symptoms in MHD patients. And more than 80% of long COVID symptoms would resolve after 1 year in MHD patients, of which the sixth month after COVID-19 infection is a critical turning point. In conclusion, more than 68% of MHD patients have long COVID, which has a poor impact on their health status and quality of life. These risk factors for the development and persistence of long COVID deserve the attention of clinicians.

Cerebral blood flow changes in maintenance hemodialysis patients with restless legs syndrome and their clinical significance:a cross-sectional case-control study.

OBJECTIVE: Restless legs syndrome (RLS) stands as a prevalent neurological complication within maintenance hemodialysis (MHD) patients. However, the alterations in cerebral blood flow (CBF) among MHD-RLS patients remain uncharted. Through the utilization of the arterial spin labeling (ASL) technique, we evaluated the fluctuations in CBF within distinct brain regions and analyzed the risk factors for the development of RLS in MHD patients in the context of the clinic. METHODS: Thirty-one MHD patients with concomitant RLS (MHD-RLS group) and thirty-one non-RLS patients matched based on age, gender, as well as cognitive function (MHD-nRLS group) were included. Through image preprocessing and data analysis, the changes in CBF values in distinct brain regions were obtained, and the CBF values of brain regions with substantial differences between the two groups were correlated with the RLS scores. Furthermore, the differences in baseline data were compared, and through the utilization of multifactorial logistic regression, the independent risk factors for the development of RLS were examined. RESULTS: Compared with the MHD-nRLS group, the MHD-RLS group had increased CBF in the right superior temporal gyrus, reduced CBF in the right hippocampus, left middle frontal gyrus, inferior frontal gyrus of right triangle, middle frontal gyrus of left orbit, left precentral gyrus, and left precuneus. Only left precentral gyrus CBF were negatively correlated with RLS scores after correction for dialysis duration(r = -0.436, P = 0.016). Accordingly, multifactorial regression analysis by stepwise method yielded that the left precentral gyrus CBF values(OR: 0.968, 95%CI: 0.944-0.993, P = 0.012) remained an independent risk factor for RLS in MHD patients. In addition, the results showed that hemodialysis duration (OR: 1.055, 95%CI: 1.014-1.098, P = 0.008) and serum iron levels (OR: 0.685, 95%CI: 0.551-0.852, P = 0.001) were also risk factors for the development of RLS. CONCLUSION: Patients afflicted with MHD-RLS exhibit alterations in CBF across several brain regions. Notably, the left precentral gyrus might serve as a pivotal region influencing the onset of RLS among MHD patients. Furthermore, extended hemodialysis duration and a relative insufficiency in serum iron levels independently contribute as risk factors for RLS development within the MHD patient population.

Prevalence and Risk Factors of Cognitive Frailty in Patients Undergoing Maintenance Hemodialysis: A Systematic Review and Meta-Analysis.

BACKGROUND: The purpose of this study is to investigate the prevalence and risk factor of cognitive frailty in patients undergoing maintenance hemodialysis. METHODS: Systematically searched PubMed, EmBase, Web of Science, Cochrane Library, SinoMed, China Knowledge Resource Integrated Database, Wanfang Database, and Weipu Database from inception until January 1, 2024. Two researchers were independently screened and cross-checked. Stata 15.1 software was used to perform the meta-analysis. RESULTS: A total of 15 articles were included, including 5398 patients. The results showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was 24%. Among them, age (odds ratio [OR] = 1.33, 95% CI [1.16, 1.53]), waist circumference (OR = 1.05, 95% CI [1.03, 1.08]), malnutrition (OR = 2.91, 95% CI [1.94, 4.35]), comorbidities (OR = 1.93, 95% CI [1.47, 2.54]), stroke history (OR = 2.94, 95% CI [1.72, 5.03]), and depression (OR = 3.26, 95% CI [1.91, 5.57]) were the main risk factors for cognitive frailty in patients undergoing maintenance hemodialysis. Education level (OR = 0.48, 95% CI [0.31, 0.73]) was protective factors for cognitive frailty in patients undergoing maintenance hemodialysis. CONCLUSIONS: Current evidence showed that the prevalence of cognitive frailty in patients undergoing maintenance hemodialysis was high, and there were many risk factors. Therefore, early identification and intervention of cognitive frailty in maintenance hemodialysis patients should be carried out, which may be helpful to reduce the prevalence rate and occurrence of adverse events and improve the prognosis of patients.

Risk prediction models for autogenous arteriovenous fistula failure in maintenance hemodialysis patients: A systematic review and meta-analysis.

BACKGROUND: The aim of this study was to systematically retrieve and evaluate published risk prediction models for autogenous arteriovenous fistula (AVF) failure post-formation in maintenance hemodialysis (MHD) patients, with the goal of assisting healthcare providers in selecting or developing appropriate risk assessment tools and providing a reference for future research. METHODS: A systematic search of relevant studies was conducted in PubMed, Web of Science, Cochrane Library, CINAHL, Embase, CNKI, Wanfang Database, VIP Database, and CBM Database up to February 1, 2024. Two researchers independently performed literature screening, data extraction, and methodological quality assessment using the Prediction Model Risk of bias (ROB) Assessment Tool. RESULTS: A total of 4869 studies were identified, from which 25 studies with 28 prediction models were ultimately included. The incidence of autogenous AVF failure in MHD patients ranged from 3.9% to 39%. The most commonly used predictors were age, vein diameter, history of diabetes, AVF blood flow, and sex. The reported area under the curve (AUC) ranged from 0.61 to 0.911. All studies were found to have a high ROB, primarily due to inappropriate data sources and a lack of rigorous reporting in the analysis domain. The pooled AUC of five validation models was 0.80 (95% confidence interval: 0.79-0.81), indicating good predictive accuracy. CONCLUSION: The included studies indicated that the predictive models for AVF failure post-formation in MHD patients are biased to some extent. Future research should focus on developing new models with larger sample sizes, strict adherence to reporting procedures, and external validation across multiple centers.

Social support, family resilience and psychological resilience among maintenance hemodialysis patients: a longitudinal study.

BACKGROUND: Psychological distress is common in maintenance hemodialysis patients, and high psychological resilience can promote psychological well-being. The current research focuses on psychological resilience protective factors such as family resilience and social support. However, the trajectories of psychological resilience, family resilience, and social support over time and their longitudinal relationships in maintenance hemodialysis patients have not been fully explored yet. Therefore, this study aims to explore the longitudinal relationship between these factors. METHODS: Patients who received regular hemodialysis treatment for more than three months at dialysis centers of three tertiary hospitals in Zhejiang, China, were recruited from September to December 2020. A total of 252 patients who met the inclusion and exclusion criteria completed three follow-up surveys, including social support, family resilience, and psychological resilience assessments. A repeated measures ANOVA was used to explore differences in their respective scores at different time points. The cross-lagged analysis was performed in AMOS using the maximum likelihood method to examine the the reciprocal predictive relationships between these factors. RESULTS: Social support and psychological resilience remained relatively stable over time, whereas family resilience indicated a little increasing trend. According to the cross-lagged analysis, higher T1 social support predicted higher family resilience at T2 [ß = 0.123, 95% CI (0.026-0.244)]. Further, the effects of T2 social support to T3 family resilience [ß = 0.194, 95%CI (0.039-0.335)] and psychological resilience [ß = 0.205, 95%CI (0.049-0.354)] were significant. Finally, the effects of T2 family resilience to T3 social support [ß = 0.122, 95%CI (0.010-0.225)] and psychological resilience [ß = 0.244, 95%CI (0.119-0.359)] were also significant. CONCLUSIONS: The study showed that the directionality of the relationship appears to be from social support or family resilience to patients' psychological resilience but not vice versa. This finding reminds healthcare professionals to emphasize the vital role of social and family resources in providing appropriate support and interventions for maintenance hemodialysis patients to promote psychological resilience and mental health development.

Can regional anticoagulation with calcium-free dialysate be extended to maintenance hemodialysis?

BACKGROUND: Regional anticoagulation in hemodialysis avoids the use of heparin, which is responsible for both hemorrhagic and non-hemorrhagic complications. Typically, blood is decalcified by injecting citrate into the arterial line of the extracorporeal circuit. Calcium-free dialysate improves anticoagulation efficacy but requires injection of a calcium-containing solution into the venous line and strict monitoring of blood calcium levels. Recent improvements have made regional anticoagulation with calcium-free dialysate safer and easier. OBSERVATIONS: (1) Adjusting the calcium injection rate to ionic dialysance avoids the risk of dyscalcemia, thus making unnecessary the monitoring of blood calcium levels. This adjustment could be carried out automatically by the hemodialysis monitor. (2) As calcium-free dialysate reduces the amount of citrate required, this can be supplied by dialysate obtained from currently available concentrates containing citric acid. This avoids the need for citrate injection and the risk of citrate overload. (3) Calcium-free dialysate no longer needs the dialysate acidification required for avoiding calcium carbonate precipitation in bicarbonate-containing dialysate. CONCLUSIONS: Regional anticoagulation with calcium-free dialysate enables an acid- and heparin-free procedure that is more biocompatible and environmentally friendly than conventional bicarbonate hemodialysis. The availability of specific acid-free concentrates and adapted hemodialysis monitors is required to extend this procedure to maintenance hemodialysis.

Construction of Risk-Prediction Models for Autogenous Arteriovenous Fistula Thrombosis in Patients on Maintenance Hemodialysis.

INTRODUCTION: Autogenous arteriovenous fistula (AVF) is the preferred vascular access in patients undergoing maintenance hemodialysis (MHD). However, complications such as thrombosis may occur. This study aimed to construct and validate a machine learning-based risk-prediction model for AVF thrombosis, hypothesizing that such a model can effectively predict occurrences, providing a foundation for early clinical intervention. METHODS: The retrospective longitudinal study included a total of 270 patients who underwent MHD at the Hemodialysis Center of the Second Affiliated Hospital of Harbin Medical University between March 2021 and December 2022. During this study, baseline data and scale information of patients between March 2020 and December 2021 were collected. We recorded outcome indicators between March 2021 and December 2022 for subsequent analyses. Five machine learning models were developed (artificial neural network, logistic regression, ridge classification, random forest, and adaptive boosting). The sensitivity (recall), specificity, accuracy, and precision of each model were evaluated. The effect size of each variable was analyzed and ranked. Models were assessed using the area under the receiver-operating characteristic (AUROC) curve. RESULTS: Among the 270 included patients, 105 had AVF thrombosis (55 male and 50 female patients; age range, 29-79 years; mean age, 56.72 years; standard deviation [SDs], ±13.10 years). Conversely, 165 patients did not have AVF thrombosis (99 male and 66 female patients; age range, 23-79 years; mean age, 53.58 years; SD, ± 13.33 years). During the observation period, approximately 52.6% of patients with AVF experienced long-term complications. The most common complications associated with AVF were thrombosis (105; 38.9%), aneurysm formation (27; 10%), and excessively high output flow (10; 3.7%). Fifty-four (20%) patients with AVF required intervention because of complications associated with vascular access. The AUROC curve of the testing set was between 0.858 and 0.903. CONCLUSION: In this study, we developed five machine learning models to predict the risk of AVF thrombosis, providing a reference for early clinical intervention.

Development and validation of a social alienation predictive model for older maintenance hemodialysis patients based on latent profile analysis-a cross-sectional study.

BACKGROUND: Social alienation refers to the state of feeling isolated, helpless, and unsatisfied due to maintaining distance from others or avoiding social interaction and activities. This phenomenon is caused by a lack of social skills, social anxiety, physical health problems, and other reasons. Older maintenance hemodialysis patients are exposed to a higher risk of social alienation. However, previous studies have been performed using the total score of the scale, which does not allow the identification of the characteristics of various patient groups with different levels of social alienation. In contrast, latent profile analysis can classify individuals into different categories based on continuous observational indicators, which improves accuracy and provides a more objective assessment by accounting for the uncertainty of variables. Given the concealed nature of social alienation and the differences in characteristics and treatment measures between different profiles, developing a predictive model for social alienation in older maintenance hemodialysis patients holds significance. OBJECTIVE: To explore the latent profile analysis of social alienation in older maintenance hemodialysis patients and to develop and validate a predictive model for social alienation in this population. METHODS: A total of 350 older maintenance hemodialysis patients were selected as the study subjects using convenience sampling. A cross-sectional survey was conducted using a general information questionnaire, the Generalized Alienation Scale, and the Self-Perceived Burden Scale. Based on the results of the Generalized Alienation Scale, a latent profile analysis was performed, followed by univariate analysis and multinomial logistic regression to develop a predictive model. The effectiveness of the predictive model was evaluated in terms of its authenticity, reliability, and predictive ability. RESULTS: Three hundred nineteen valid questionnaires were collected. The social alienation of older maintenance hemodialysis patients based on latent profile analysis were divided into three profiles, which were named the low/medium/high-symptom groups, comprising 21%, 38.9%, and 40.1% of participants, respectively. Based on male, monthly social activity hours, Age-Adjusted Charlson Comorbidity Index, dialysis age, and Self-Perceived Burden Scale, a predictive model of social alienation for older maintenance hemodialysis patients was developed, and the Hosmer-Lemeshow tests showed no statistical significance (P > 0.05). The model has high predictive efficiency in authenticity, reliability and predictability. CONCLUSION: Older maintenance hemodialysis patients exhibited moderate to high levels of social alienation. The latent profile analysis based method was used to divide patients into low/medium/high-symptom profiles, and the predictive model demonstrates excellent authenticity, reliability, and predictability.

Single-pool model urea clearance index is associated with sarcopenia and nutritional status in patients undergoing maintenance hemodialysis: a cross-sectional study.

BACKGROUND: The single-pool model urea clearance index (single-pool Kt/Vurea; spKt/V) is the most commonly used method for dialysis adequacy assessment. However, only a few studies have examined the relationship between spKt/V values and parameters related to sarcopenia and nutritional status. This study aimed to evaluate whether the spKt/V is an indicator of sarcopenia and nutritional status in patients undergoing maintenance hemodialysis (MHD). METHODS: A total of 142 patients were included in this single-center, cross-sectional study. Venous blood samples were collected shortly before the hemodialysis session. The adequacy of dialysis in patients receiving MHD was assessed using spKt/V. Sarcopenia was identified according to the Asian Working Group for Sarcopenia (2019) definition. Receiver operating characteristic curve and area under the curve were used to evaluate the predictive value of spKt/V in sarcopenia. Univariate and multivariate binary logistic regression analyses were used to determine the association between spKt/V and sarcopenia and nutritional status. RESULTS: The mean spKt/V level was 1.3 ± 0.2, the prevalence of sarcopenia was 15.5% in patients on MHD. The best cutoff value of spKt/V in sarcopenia was 1.45 for both sexes, 1.33 and 1.45 for men and women, respectively (P < 0.05). The multivariate binary logistic regression shown that the spKt/V was independently positively associated with sarcopenia (OR = 122.88, 95% CI = 0.64-0.87, P = 0.002). Grouping spKt/V by the best cutoff value, when spKt/V ≥ 1.45, the OR of sarcopenia was 11.75 (95% CI = 3.16-43.67, P < 0.001). Subgroup analyses showed that when spKt/V ≥ 1.33 in men and spKt/V ≥ 1.45 in woman, the OR of sarcopenia was 9.73 (95% CI = 2.25-42.11, P = 0.002) and 14.52 (95% CI = 1.06-199.67, P = 0.045), respectively. CONCLUSIONS: The present study showed that spKt/V was an important influencing factor of sarcopenia and malnutrition in Asian patients on MHD.

The mediating effect of family resilience between coping styles and caregiver burden in maintenance hemodialysis patients: a cross-sectional study.

BACKGROUND: Primary caregivers of hemodialysis patients suffer from varying degrees of stress from their patients. Caring for hemodialysis patients can expose caregivers to many problems, leading to an increased burden of care and even impacting the quality of care. The purpose of our study was to examine whether family resilience could be a mediating variable moderating the relationship between patient coping styles and caregiver burden. METHODS: The study was a cross-sectional and descriptive-analytical study that interviewed 173 pairs of hemodialysis patients and their caregivers at a blood purification center in a public hospital in China. The Brief Coping Styles Scale (Chinese version) was used to assess individuals' coping styles for disease and treatment. From the caregiver's perspective, the Family Resilience Assessment Scale (Chinese version) was used to understand the resilience of families, and the Zarit Caregiver Burden Scale was used to capture the caregiver's subjective experience of burden. Statistical analyses were conducted using SPSS version 23 and Amos version 26 to analyze the relationships between variables to examine for correlation and construct mediated effects models. RESULTS: Coping styles showed a significant positive correlation with family resilience (r = 0.347, P < 0.01) and a negative correlation with caregiver burden (r = -0.379, P < 0.01). A significant negative correlation was found between family resilience and caregiver burden (r = -0.503, P < 0.01). In the mediation model, patient coping styles directly impacted caregiver burden significantly (95% CI [-0.372, -0.058]), and coping styles indirectly impacted caregiver burden by family resilience in a significant way (95% CI [-0.275, -0.098]). CONCLUSIONS: Patient coping styles directly affect caregiver burden. Family resilience is a mediating variable between patients' coping styles and the burden on caregivers.

Association between lipoprotein (a) and risk of atherosclerotic cardiovascular disease events among maintenance hemodialysis patients in Beijing, China: a single-center, retrospective study.

BACKGROUND: Serum lipoprotein(a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD) in the general population, its association with ASCVD incidence in Chinese maintenance hemodialysis (MHD) patients remains unclear. We aimed to evaluate the relationship between Lp(a) levels and ASCVD incidence among MHD patients in Beijing, China. METHODS: This retrospective, observational cohort study included MHD patients at Beijing Tongren Hospital from January 1, 2013 to December 1, 2020, and followed until December 1,2023. The primary outcome was ASCVD occurrence. Kaplan-Meier survival analysis was used to evaluate ASCVD-free survival in MHD patients, with stratification based on Lp(a) levels. Cox regression analyses were conducted to assess the association between Lp(a) levels and the occurrence of ASCVD. RESULTS: A total of 265 patients were enrolled in the study. The median follow-up period were 71 months.78 (29.4%) participants experienced ASCVD events, and 118 (47%) patients died, with 58 (49.1%) deaths attributed to ASCVD. Spearman rank correlation analyses revealed positive correlations between serum Lp(a) levels and LDL-c levels, and negative correlations with hemoglobin, triglyceride, serum iron, serum creatinine, and albumin levels. Multivariate Cox regression analysis showed that Lp(a) levels ≥ 30 mg/L, increased age, decreased serum albumin levels, and a history of diabetes mellitus were significantly associated with ASCVD incidence. CONCLUSIONS: This study demonstrated an independent and positive association between serum Lp(a) levels and the risk of ASCVD in MHD patients, suggesting that serum Lp(a) could potentially serve as a clinical biomarker for estimating ASCVD risk in this population.

Rare skin color changes in an acute pancreatitis patient undergoing maintenance hemodialysis.

BACKGROUND: Skin conditions are common in patients on maintenance hemodialysis and those with pancreatitis. However, there is a lack of research on dermatological issues in patients who have both hemodialysis and pancreatitis concurrently. CASE PRESENTATION: A 62-year-old male patient with a 4-year history of maintenance hemodialysis (MHD) presented with pain and was diagnosed with acute pancreatitis and gallbladder stones. Markedly elevated blood amylase, creatine kinase, and myoglobin were noted, alongside a purplish-red skin discoloration. Treatment included inhibition of digestive fluid secretion, anti-infection measures, blood purification, fasting, rehydration, and symptomatic care. Notably, continuous renal replacement therapy (CRRT) combined with hemoperfusion (HP) was employed. The patient's dialysis effluent initially appeared red. Upon examination of the patient's peripheral blood smear, red blood cell debris was not observed. The dialysis effluent (on Day 0) was analyzed, revealing no hemoglobin (0 g/L) but an elevated myoglobin concentration of 80.4 U/L. After the therapeutic intervention, the indicators, including the blood amylase, C-reactive protein, total bilirubin, creatine kinase, and myoglobin were improved. The patient experienced resolution of sternal and upper abdominal pain within two days. After four consecutive days of CRRT and HP treatment, the skin color returned to normal, alongside improved clarity of the dialysis effluent. Subsequently, the patient's method of blood purification was reverted to conventional hemodialysis. On the eighth day of hospitalization, the patient resumed normal diet and was discharged. CONCLUSIONS: In the case of the current patient with acute pancreatitis undergoing MHD, it is noteworthy to report the observation of a unique purplish-red skin discoloration. This phenomenon may be attributable to inflammation resulting from acute pancreatitis, and the retention of myoglobin within the body.

Effect of central dialysis fluid delivery system on markers of inflammation in hemodialysis patients.

BACKGROUND: The utilization of ultrapure dialysate has been shown to decrease dialysate contamination and mitigate inflammatory responses. The central dialysate delivery system (CDDS) has the potential to attain a level of purity similar to ultrapure dialysate. Nevertheless, there is limited research examining the impact of CDDS on inflammation in comparison to single-patient dialysis fluid delivery system(SPDDS). This study aims to investigate the effects of CDDS utilizing ultrapure dialysate on ameliorating the microinflammatory state in hemodialysis patients. METHOD: A retrospective cohort clinical study enrolled a total of 125 hemodialysis patients, with 58 patients from the CDDS unit and 67 patients from the SPDDS unit. Each participant was monitored for a period of 6 months, and the repeated measurement data was analyzed using a generalized linear mixed models (GLMM). RESULTS: The average age of the studty cohort was 56.22 ± 12.64 years. The GLMM analysis showed a significant time*group interaction effect on hs-CRP changes over the follow-up period (ß = -1.966, FTime* CDDS group = 13.389, P < 0.001). A linear mixed model analysis with random slope showed that a different slope was observed between CDDS group and SPDDS group (ßCDDS =-0.793; ßSPDDS = 0.791), indicating a decreased hs-CRP levels in CDDS group, while increased in the SPDDS group over the follow-up period. However, no significant time*group interaction effect were observed on albumin and ß2-microglobulin levels during follow-up period(ß2-microglobulin: ß = -0.658, FTime* CDDS group = 1.228, P = 0.269; albumin: ß = 0.012, FTime* CDDS group = 1.429, P = 0.233). CONCLUSION: Using ultrapure dialysate in the CDDS is associated with an improvement in hs-CRP levels compared to standard dialysate, which might confer long-term clinical advantages.

Associations between pinch strength, cardiovascular events and all-cause mortality in patients undergoing maintenance hemodialysis.

BACKGROUND AND AIMS: Patients undergoing maintenance hemodialysis (MHD) experience increased mortality and cardiovascular disease (CVD) risks; however, the potential connection between pinch strength (PS) and the prognosis of these patients remains unknown. Consequently, this study aimed to comprehensively assess the influence of PS and handgrip strength (HGS) on both survival and cardiovascular events (CVE) in patients undergoing MHD. METHODS: Data were gathered from patients undergoing MHD at the Hemodialysis Center of Guangzhou Red Cross Hospital in March 2021. We performed a retrospective follow-up spanning 24 months, with death serving as the primary endpoint for observation and CVE as the secondary endpoint. Multifactorial Cox regression analysis, Kaplan-Meier survival curves, trend tests, and restricted cubic spline were applied to explore the association. RESULTS: During a 24-month follow-up, data were collected from 140 patients undergoing MHD with an average age of 66.71 ± 12.61 years. Among them, 52 (37.14%) experienced mortality, whereas 36 (40.00%) had CVE without baseline CVD. Kaplan-Meier survival curves demonstrated better survival rates and reduced CVE risk for patients in the second, third, and fourth quartiles compared with those in the first quartile for PS. Adjusted analyses in different models revealed higher PS levels were independently associated with all-cause mortality (major model, model 4, HR, 0.78; 95% CI, 0.64-0.95) but not with CVE risk (unadjusted HR, 0.90; 95% CI, 0.77-1.05). Compared with lower quartile PS levels, higher PS levels significantly reduced all-cause mortality (HR, 0.31; 95% CI, 0.10-1.02), and this trend remained consistent (P for trend = 0.021). Finally, the restricted cubic spline method using different models showed a linear relationship between PS and all-cause mortality (P > 0.05), when PS exceeded 4.99 kg, the all-cause mortality of MHD patients significantly decreased. CONCLUSIONS: PS was independently associated with all-cause mortality but not with CVE in patients undergoing MHD.

Bioelectrical impedance analysis-derived phase angle predicts possible Sarcopenia in patients on maintenance hemodialysis: a retrospective study.

BACKGROUND: The prevalence of possible sarcopenia is notably high among maintenance hemodialysis (MHD) patients. Possible sarcopenia, defined as a decrease in muscle strength and/or somatic function, is an early and reversible condition between non-sarcopenic and sarcopenia, and early recognition and intervention for possible sarcopenia is important for preventing adverse outcomes and improving the quality of life of these patients. This study aimed to establish a simple and effective model for screening and identifying MHD patients at high risk of possible sarcopenia by using 50 kHz-Whole Body Phase Angle (PhA), with a specific focus on gender differences. METHODS: This prospective cross-sectional study was conducted from September to December 2023 at the Wenjiang Hemodialysis Center in the Department of Nephrology, West China Hospital, Sichuan University, Chengdu, China. A total of 244 MHD patients, including 130 males and 114 females, were enrolled. Data were collected prospectively, including demographic information and physical measurements. All participants provided informed consent before enrollment. Measurements were taken post-dialysis to ensure consistency. The whole-body phase angle was measured using the InBody S10 device, grip strength was measured using an electronic grip strength tester, and physical function was assessed by the Short Physical Performance Battery (SPPB). The Skeletal Muscle Index (SMI) was also calculated. RESULTS: A total of 244 patients receiving hemodialysis were enrolled in this study. Among these, 109 patients were categorized as non-sarcopenic, 111 as having possible sarcopenia, and 24 as sarcopenic. The prevalence of sarcopenia among MHD patients is 9.8%, while the prevalence of possible sarcopenia is 45.5%. The receiver operating characteristic (ROC) curve analysis showed that for male patients, the AUC of PhA for predicting possible sarcopenia was 0.798, with a sensitivity of 80.36%, specificity of 69.70%, and a cutoff value of 6.20°. For female patients, the AUC of PhA was 0.701, with a sensitivity of 70.91% and specificity of 62.79%, and a cutoff value of 5.70°. CONCLUSIONS: PhA may be a useful and simple predictor of the risk of possible sarcopenia in MHD patients, and more research is needed to further promote the use of PhA in possible sarcopenia.

Clinical characteristics and outcomes of maintenance hemodialysis patients with COVID-19 during the Omicron wave of the pandemic in Beijing: a single center retrospective study.

BACKGROUND: The clinical manifestations and prognosis of hemodialysis patients with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) during the Omicron wave of the pandemic infection were still unclear. This study investigated the clinical characteristics of patients undergoing maintenance hemodialysis (MHD) infected with it. METHODS: This retrospective single-center study included 151 patients undergoing MHD. Healthcare workers were selected as control group were assessed from December 1, 2022 to March 31, 2023. Clinical data, laboratory test results, treatment protocols, and prognoses were collected and analyzed. RESULTS: The study population included 146 patients with MHD, 93 (63.7%) of whom were infected with SARS-CoV-2. The number of non-severe, severe, and critical cases was 84 (90.3%), 4 (4.3%), and 5 (5.3%), respectively. Six patients (6.5%) died during the study period. The main symptoms of SARS-CoV-2 infection, including fever, cough, and fatigue, were less common in patients with MHD than the controls. During SARS-CoV-2 infection, the C-reactive protein (2.9 vs. 11.8 mg/dl, p < 0.0001) and ferritin levels(257.7 vs. 537 ng/l, p < 0.0001) were elevated. The hemoglobin(113vs 111 g/L, p = 0.0001) and albumin levels(39.4 vs. 36.1 g/L, p < 0.0001) decreased. Generally, it took two months for the hemoglobin levels to recover. Positivity rate for SARS-COV-2 serum immunoglobin G (IgG) antibodies and IgG titers were lower in dialysis patients than the controls. Age was positively associated with disease severity, while age and hyponatremia were associated with death. CONCLUSIONS: Patients with MHD and COVID-19 were primarily classified as non-severe. SARS-CoV-2 infection would soon lead to the increase of inflammation related acute response protein in dialysis patients, and then lead to the decrease of hemoglobin and albumin. About 9.6% in HD patients were severe cases and had poor prognosis. Advanced age and hyponatremia were associated with disease severity and prognosis.

The Role of Muscle Ultrasonography to Diagnose Malnutrition and Sarcopenia in Maintenance Hemodialysis.

BACKGROUND: Sarcopenia and malnutrition are commonly seen and fundamental indicators of prognosis and are directly associated with increased mortality in maintenance hemodialysis (MHD) patients. We aimed to reveal the frequency of malnutrition and sarcopenia in patients undergoing MHD and investigate the role of muscle ultrasound (US) parameters to predict sarcopenia and malnutrition. METHODS: A total of 45 patients who have undertaken MHD for more than 6 months three times a week were evaluated for the present study. The US measurement was performed on gastrocnemius medialis, rectus femoris (RF), and abdominal muscles, including rectus abdominis, external oblique abdominalis, internal oblique abdominalis, and transversus abdominis. Nutritional status of the participants was assessed by mini-nutritional assessment short-form (MNA-SF). RESULTS: The prevalence of probable and confirmed sarcopenia was 51.1% (n = 23) and 35.6% (n = 16), respectively. The malnutrition and risk of malnutrition were observed in 31.1% of the whole study population (n = 14). All muscle US measurements were lower in the sarcopenic group; however, the difference is meaningful only for RF cross-sectional area (CSA) (P = .046). The malnourished group had substantially lower muscle thickness and CSA, except for the gastrocnemius muscle thickness. The value of RFCSA to predict sarcopenia and malnutrition was observed as 4.61 cm2, respectively (P < .05). RFCSA was independently associated with sarcopenia (odds ratio: 0.37; 95% confidence interval: 0.17-0.79; P = .011) and malnutrition (odds ratio: 0.45; 95% confidence interval: 0.23-0.87; P = .017). CONCLUSION: RFCSA may be a useful and simple predictor for predicting patients undergoing hemodialysis who are at risk of sarcopenia and malnutrition.

Prediction Models for Sarcopenia in Patients with Maintenance Hemodialysis: A Systematic Review and Meta-Analysis.

BACKGROUND: This systematic review and meta-analysis investigated all prediction models for sarcopenia in Maintenance Hemodialysis (MHD) patients. METHODS: This study used the Systematic Reviews and Meta-Analysis statement (PRISMA) for systematic review. DATA SOURCES: PubMed, Web of Science, Embase, Cochrane Library and Medline databases up to September 2023. DATA ANALYSIS: Risk of bias (ROB) was evaluated using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Random effect models were calculated due to high heterogeneity identified. RESULTS: Fifteen models from twelve studies were analyzed. All studies had high ROB and three of them posed a high risk in terms of applicability. The pooled AUC, sensitivity, and specificity were 0.715, 0.583 and 0.656 respectively. The diagnostic criteria (P=0.0046), country (P=0.0046), and study design (P=0.0087) were significant sources of the heterogeneity. Analysing purely from the data perspective, grouping by diagnostic criterias, the AUC and specificity [(0.773, 95% CI 0.12-0.99, (0.652, 95% CI 0.641-0.664)] of the Asian Working Group for Sarcopenia (AWGS) group was lower than the European Working Group on Sarcopenia in Older People (EWGSOP) group [(0.859, 95% CI 0.12-1.00), (0.874, 95% CI 0.803-0.926)]. Grouping by styles of research, the AUC, sensitivity, and specificity in development group [(0.890, 95% CI 0.16-1.00), (0.751, 95% CI 0.697-0.800), (0.875, 95% CI 0.854-0.895)] were all higher than validation group [(0.715, 95% CI 0.09-0.98), (0.550, 95% CI 0.524-0.576), (0.617, 95% CI 0.604-0.629)]. CONCLUSIONS: Moving forward, there is a critical need to create low-ROB, high-applicability, and more accurate sarcopenia prediction models for MHD patients, customized for diverse global populations.

The influencing factors of the erythropoietin resistance index and its association with all-cause mortality in maintenance hemodialysis patients.

Anemia is a common complication of chronic kidney disease with major option treatment of erythropoiesis-stimulating agents (ESAs). This study aimed to investigate the influencing factors of erythropoietin resistance index (ERI) and its association with mortality in maintenance hemodialysis (MHD) patients. Patients enrolled from China Dialysis Outcomes and Practice Patterns Study (DOPPS) 5 were included. ERI was calculated as follows: ESA (IU/week)/weight (kg, post-dialysis)/hemoglobin level (g/dL). The Cox regression model was used to analyze the influencing factors on survival outcomes. Stepwise multivariate logistic regression was used to identify the related risk factors, and subgroup analyses were performed. A total of 1270 MHD subjects (687 males and 583 females) were included, with an average age of 60 (49.0, 71.0) years. All subjects were divided into two groups by the median ERI of 14.03. Multivariate logistic regression showed that dialysis vintage (OR 0.957, 95% CI: 0.929-0.986), white blood cells (OR 0.900, 95% CI: 0.844-0.960), high flux dialyzer use (OR 0.866, 95% CI: 0.755-0.993), body mass index (OR 0.860, 95% CI: 0.828-0.892), males (OR 0.708, 95% CI: 0.625-0.801), and albumin (OR 0.512, 95% CI: 0.389-0.673) had a negative association with high ERI baseline (all p < 0.05). There were 176 (13.9%) deaths in total including 89 cardiac/vascular deaths during follow-up. Cox regression analysis showed that ERI was positively associated with all-cause mortality, especially in some subgroups. ERI was associated with increased all-cause mortality in MHD patients, indicating the possibility of death prediction by ERI. Patients with high ERI warrant more attention.