Tag: DIAL
Machine Learning Can Predict Intradialytic Hypotension During Hemodialysis
Various standard clinical variables measured by clinicians analyzed to determine scope of machine learning techniques in predicting IDH
ASN: Hypertension Most Common Cardiovascular Comorbidity Seen With Dialysis
The next most common conditions included atherosclerotic heart disease and congestive heart failure
Varying Dialysate Calcium Dosage Not Tied to Differences in All-Cause, Cardiovascular Mortality
Findings seen for 1.50 versus 1.25 mmol/L in patients undergoing hemodialysis
Study Looks at Impact of Peritoneal Dialysis on Thyroid Function
PD patients had higher T4 concentrations at baseline; higher FT4 concentration at 12 and 24 months than hemodialysis patients
Modest Gains in Life Expectancy Seen for Dialysis in Older Adults With eGFR <12
Older adults starting dialysis when eGFR falls below 12 who are not referred for transplant have modest gains in survival
Disparities Exist in Wait-Listing for Pediatric Kidney Transplants
Adult transplant candidates who initiated dialysis before 18 years missed opportunity for pediatric prioritization
Digital Subtraction Angiography-Guided TDC Performance Superior
Performance of DSA-guided tunneled dialysis catheters is superior to ultrasound-guided TDC in renal replacement therapy
SGLT2 Inhibitors Improve Outcomes in Patients With Diabetes Plus Kidney Disease
Benefits include lower risk for dialysis, hospitalization for myocardial infarction, heart failure, acute kidney injury, and diabetic ketoacidosis
Leukocyte Glucose Index, Arteriovenous Fistula Failure Linked in ESKD
Risk for AVF failure significantly higher for patients with higher baseline LGI, independent of age, sex, CV risk factors
Remote Patient Monitoring Tied to Better Dialysis Technique Survival
Findings seen for patients on automated peritoneal dialysis
