Influence of the PEPA Membrane on the Undernutrition Syndrome Inflammation in Chronic Hemodialysis
Condition: ESRD Intervention: Device: PEPA Sponsor: Theradial Recruiting
CONCLUSION: Hospitalization or death was not influenced by the type of RO, Al accumulation, or TMV classification. An elevated prevalence of osteoporosis and Al accumulation was detected. PMID: 31967202 [PubMed - as supplied by publisher]
Authors: Benites-Zapata VA, Herrera-Añazco P, Yarasca-Zegarra C, Venegas-Ojeda D, Flores-Benites V PMID: 31967267 [PubMed - in process]
Due to the potential risk of volume overload, physicians are hesitant to aggressively fluid-resuscitate septic patients with end-stage renal disease (ESRD) on hemodialysis (HD). Our study indicates that aggressive fluid resuscitation appears to be safe in ESRD patients.
AbstractThe immunoglobulin (Ig) D type is a rare variant of multiple myeloma (MM), that accounts for 1 –2% of all cases. Compared to the more common types of MM, IgD MM is known to have more severe symptoms at presentation, and a poorer prognosis. A woman was admitted to our hospital for severe acute kidney disease and disorder (AKD) and back pain, and was started on hemodialysis. The renal biopsy revealed light chain cast nephropathy. She was diagnosed with IgD-λ MM based on Bence-Jones protein expression and high IgD serum levels, and started bortezomib therapy with plasma exchange (PE). After three sessions...
Authors: Borrego Garcia E, Ruiz Sancho AL, Plaza Lara E, Díaz Gómez L, Delgado Ureña A PMID: 31955900 [PubMed - as supplied by publisher]
Authors: Valga F, Monzón T, Henriquez F, Anton-Pérez G PMID: 31955899 [PubMed - as supplied by publisher]
This systematic review aimed to investigate whether non-surgical periodontal therapy (NSPT) can reduce systemic inflammatory levels and improve metabolism in patients undergoing haemodialysis (HD) and/or perit...
Publication date: Available online 21 January 2020Source: American Journal of Kidney DiseasesAuthor(s): Dana Miskulin, Daniel E. Weiner, Harold J. Manley
Publication date: Available online 21 January 2020Source: American Journal of Kidney DiseasesAuthor(s): Anne M. Butler, J. Bradley Layton, Vikas R. Dharnidharka, Leah J. McGrath
Much of medical data is buried in the free text of clinical notes and not captured by structured data, such as administrative codes. Natural language processing (NLP) can locate and use information that resides in unstructured free text. Chan et al. demonstrate that NLP is sensitive for identifying symptoms in hemodialysis patients. These findings highlight the benefit NLP may bring to nephrology and should prompt discussion of important considerations for NLP system design and implementation.