Background: Uremic pruritus (UP) and restless legs syndrome (RLS) are highly prevalent complaints among patients with end-stage renal disease (ESRD) undergoing chronic dialysis. These chronic troublesome symptoms lead to a significant decrease in quality of life (QOL) and increase in mortality rate. Despite their distressing characteristics, these symptoms usually remain under-recognized by healthcare providers. Therefore, careful history intake, and stepwise treatment are essential. Numerous pharmacological and non-pharmacological treatments have been demonstrated to help in controlling these 2 conditions. Summary: In this review, we discuss the latest findings regarding UP and RLS among ESRD patients on maintenance dialysis. We also examine different treatment options in this group of patients. The majority of these patients do not have the opportunity to receive a kidney transplant and need other treatments for these burdensome symptoms in order to improve their QOL and prognosis. Key Messages: UP and RLS are common but underdiagnosed conditions in ESRD patients on maintenance dialysis that are related to a decline in patients’ QOL and poor prognosis. The pathophysiology of these conditions remains not well understood. Therefore, controversies still exist on treatment options. Treating these conditions provides an opportunity to improve the health-related QOL and outcomes of dialysis patients.
The decreased ability of the kidney to regulate water and monovalent cation excretion predisposes patients with chronic kidney disease (CKD) to dysnatremias. In this report, we describe the clinical associations and methods of management of dysnatremias in this patient population by reviewing publications on hyponatremia and hypernatremia in patients with CKD not on dialysis, and those on maintenance hemodialysis or peritoneal dialysis. The prevalence of both hyponatremia and hypernatremia has been reported to be higher in patients with CKD than in the general population. Certain features of the studies analyzed, such as variation in the cut-off values of serum sodium concentration ([Na]) that define hyponatremia or hypernatremia, create comparison difficulties. Dysnatremias in patients with CKD are associated with adverse clinical conditions and mortality. Currently, investigation and treatment of dysnatremias in patients with CKD should follow clinical judgment and the guidelines for the general population. Whether azotemia allows different rates of correction of [Na] in patients with hyponatremic CKD and the methodology and outcomes of treatment of dysnatremias by renal replacement methods require further investigation. In conclusion, dysnatremias occur frequently and are associated with various comorbidities and mortality in patients with CKD. Knowledge gaps in their treatment and prevention call for further studies.
Background: Hypernatremia is a frequently encountered electrolyte disorders in hospitalized patients. Controversies still exist over the relationship between hypernatremia and its outcomes in hospitalized patients. This study examines the relationship of hypernatremia to outcomes among hospitalized patients and to examine the extent to which this relationship varies by kidney function and age. Methods: We conducted an observational study to investigate the association between hypernatremia, eGFR and age at hospital admission and in-hospital mortality, and discharge dispositions. We analyzed the data of 1.9 million patients extracted from the Cerner Health Facts databases (2000-2018). Adjusted multinomial regression models were used to estimate the relationship of hypernatremia to outcomes of hospitalized patients. Results: Of all hospitalized patients, 3.2% had serum sodium ([Na]) >145 at hospital admission. Incidence of in-hospital mortality was 11.7% and 2.2% in hyper- and normonatremic patients, respectively. The risk of all outcomes increased significantly for [Na] >155 mEq/L compared to the reference interval of [Na]: 135-145 mEq/L. Odds Ratios (95% confidence interval) for in-hospital mortality, discharge to hospice and discharge to nursing facilities were 34.41 (30.59-38.71), 21.14 (17.53-25.50) and 12.21 (10.95-13.61), respectively, (p<0.001, for all). In adjusted models, we found the association between [Na] and disposition was modified by eGFR (p<0.001) and by age (p<0.001). Sensitivity analyses were performed using the eGFR equation without race as a covariate and the inferences did not substantially change. In all hypernatremic groups, patients aged 76-89 and ≥90 had higher odds of in-hospital mortality compared to younger patients (p<0.001, for all). Conclusions: Hypernatremia was significantly associated with in-hospital mortality, discharge to hospice or to nursing facility. The risk of in-hospital mortality and other outcomes was highest among those with [Na]>155 mEq/L. This work demonstrates that hypernatremia is an important factor related to discharge disposition and supports the need to study whether protocolized treatment of hypernatremia improves outcomes.
Introduction: When bacterial pericarditis is suspected, urgent pericardial drainage combined with intravenous antibacterial therapy is mandatory to avert devastating, life-threatening complications. There have been scanty results on antimicrobial susceptibility of common causative microorganisms of bacterial pericarditis; most studies had small sample sizes and were performed decades ago. Methodology: This prospective study surveyed the causative bacteria in infectious pericardial effusions and their antimicrobial susceptibility among 320 consecutive cardiac patients who underwent pericardiocentesis at Tehran Heart Center between 2007 and 2012, using the European Society of Cardiology (ESC)'s criteria. Results: Staphylococcus spp. (S. epidermidis, S. aureus, S. haemolyticus) were the main causative organisms isolated from cultures of pericardial effusion samples. Other causative organisms were Streptococcus spp., Enterococcus faecium, Pseudomonas aeruginosa, and Acinetobacter baumannii. In the cultures studied, 35% methicillin-resistant Staphylococcus epidermidis (MRSE) and 42.9% methicillinresistant Staphylococcus aureus (MRSA) were detected. The most effective antimicrobial agents in S. epidermidis were gentamicin, ciprofloxacin, and cefoxitin. Clindamycin was relatively effective. S. aureus was highly susceptible to clindamycin and erythromycin. In cases of S. haemolyticus infection, clindamycin, erythromycin, cefoxitin, and ciprofloxacin were effective antibiotics. Conclusions: In order to diminish the nascence and extension of antimicrobial-resistant pathogens, logical and optimized antimicrobial usage and monitoring in hospitals are highly recommended. It is incumbent on healthcare systems to determine current local resistance patterns by which to guide empiric antimicrobial therapy for specific infections and microorganism types.
Background: Chronic kidney disease (CKD) is an increasing epidemic globally that is associated with adverse health outcomes including end stage kidney disease (ESKD), cardiovascular disease (CVD), and death. American Indians (AIs) have a higher prevalence of CKD than most other racial/ethnic groups, due in part to a high prevalence of type 2 diabetes. Other genetic and environmental factors not yet identified may also contribute to the disproportionate burden of CKD in AIs. Method: We will establish 3 clinical centers to recruit AIs from the Southwest United States (US) to expand the Chronic Renal Insufficiency Cohort (CRIC) study. We will follow the current CRIC protocol for kidney and cardiovascular measures and outcomes, which include ambulatory monitoring of kidney function and the use of mobile health technologies for CVD sub-phenotyping, and compare the outcomes in AIs with those in other racial/ ethnic groups in CRIC. Discussion: AI-CRIC will identify the role of various risk factors for rapid loss of kidney function among AIs of the Southwest US. In addition, to better understand the natural history of CKD and CVD in this high-risk population, we will identify unique risk factors for CKD and CVD progression in AIs. We will also compare event rates and risk factors for kidney and cardiovascular events in AIs with the other populations represented in CRIC.
Background: Converting electronic health record (EHR) entries to useful clinical inferences requires one to address the poor scalability of existing implementations of Generalized Linear Mixed Models (GLMM) for repeated measures. The major computational bottleneck concerns the numerical evaluation of multivariable integrals, which even for the simplest EHR analyses may involve millions of dimensions (one for each patient). The hierarchical likelihood (h-lik) approach to GLMMs is a methodologically rigorous framework for the estimation of GLMMs that is based on the Laplace Approximation (LA), which replaces integration with numerical optimization, and thus scales very well with dimensionality. Methods: We present a high-performance implementation of the h-lik for GLMMs in the R package TMB. Using this approach, we examined the relation of repeated serum potassium measurements and survival in the Cerner Real World Data (CRWD) EHR database. Analyzing this data requires the evaluation of an integral in over 3 million dimensions, putting this problem beyond the reach of conventional approaches. We also assessed the scalability and accuracy of LA in smaller samples of 1 and 10% size of the full dataset that were analyzed via the a) original, interconnected Generalized Linear Models (iGLM), approach to h-lik, b) Adaptive Gaussian Hermite (AGH) and c) the gold standard of Markov Chain Monte Carlo (MCMC) for multivariate integration. Results: Random effects estimates generated by the LA were within 10% of the values obtained by the iGLMs, AGH and MCMC techniques. The H-lik approach was 4-30 times faster than AGH and nearly 800 times faster than MCMC. The major clinical inferences in this problem are the establishment of the non-linear relationship between the potassium level and the risk of mortality, as well as estimates of the individual and health care facility sources of variations for mortality risk in CRWD. Conclusions: We found that the combination of the LA and AD offers a computationally efficient, numerically accurate approach for the analysis of extremely large, real world repeated measures data via the h-lik approach to GLMMs. The clinical inference from our analysis may guide choices of threatment thresholds for treating potassium disorders in the clinic.
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