Blood pressure control with active ultrafiltration measures and without antihypertensives is essential for survival in hemodiafiltration and hemodialysis programs for patients with CKD. A prospective observational study.
The main finding confirms the hypothesis of the study that there is more remarkable survival in the group of patients with CKD whose hypertension can be controlled without antihypertensive treatment and with the use of constant dry weight reduction measures to optimize ultrafiltration. The factors associated with the lack of control of arterial hypertension were a history of vascular amputation, a history of being an ex-smoker, being a carrier of type 2 diabetes mellitus, having a serum ferritin level greater than 26.75%, being male, and being treated with hemodialysis. The associated protective factors were having a diagnosis of glomerulonephritis as an etiology of chronic kidney disease, a history of never smoking, a serum ALB concentration greater than 4.214 g/dl, effective blood flow greater than 423.5 ml/min, and interdialytic weight gain >4.925%, hemodiafiltration as treatment, urea levels less than 103.78 mg/dl, and fasting glucose levels less than 109.2 mg/dl. According to the time-adjusted model, only four factors were associated: age, transferrin saturation, serum albumin levels, and history of vascular amputation.
In the stratified analysis, differences in survival were demonstrated by the percentiles of blood pressure taken in the last month of survival or censoring. With blood pressures ranging from 141 mmHg to 122 mmHg, there is a proportional risk of death associated with the intake of antihypertensive agents. The same occurs when the blood pressure is less than 105 mmHg. These relationships could not be established with pressures greater than 141 mmHg.
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BMC Nephrology
This is an open access journal publishing original peer-reviewed research articles in all aspects of the prevention, diagnosis and management of kidney and associated disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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Artificial intelligence in nephrology
BMC Nephrology welcomes submissions to a Collection on Artificial intelligence in nephrology.
Current research trends in nephrology represent the beginning of a new era of cross-disciplinary informational synthesis. With accelerating discoveries in genetics, molecular pathways, biochemical interactions and intercellular communication, new potential therapeutic targets are being introduced at an unprecedented rate. With application of novel methods in translational research and vast accumulation of clinical data, personalized treatment regimens have become central in advancing the quality of care and improving outcomes. Innovations in dialysis and transplant management, artificial kidney development, implementation of early diagnostic and disease prevention strategies are at the forefront of a modern patient-centered approach in nephrology.
The continuous flow of novel and constantly evolving information requires a powerful resource for high-level data synthesis and complex analysis in order to find meaning in a perpetually expanding informational field. Artificial Intelligence (AI) technologies, including Machine Learning (ML) are such resources, application of which in clinical and translational research is gaining momentum. The AI generated data-based knowledge has potential to impact patient management strategies by forming support systems for clinical decisions, improving drug design, risk identification and personalization of treatment. In all possible ways, AI and ML are enabling the emergence of “intelligent nephrology”.
This Collection gathers researchers with interest in kidney diseases from different perspectives, from basic science to clinical settings, including bioengineers and data scientists, aiming to present novel strategies of analysis to unravel the causes of renal diseases and improving in personalized therapeutics with the goal of achieving precision medicine. We encourage contributions with focus on the role of AI in novel data acquisition, synthesis, and interpretation, in scope with the journal’s aims in the diagnosis and treatment of renal diseases.
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Publishing Model: Open Access
Deadline: Apr 10, 2025
Pediatric chronic kidney disease: Transitioning into adult care
BMC Nephrology invites submissions to the collection exploring various aspects of this transition from childhood to adulthood including but not limited to:
Transitional care models: Exploring effective strategies
RISE to Transition program: Evaluating its impact
Pediatric to adult services integration: Challenges and solutions
Disease awareness among adolescents with CKD: Bridging gaps
Health-related quality of life in transitioning patients: Assessments and interventions
Enhancing self-management skills in young adults with CKD
Optimizing adult CKD services for transitional patients
Pediatric nephrology: Setting the stage for successful transitions
Multidisciplinary approaches to CKD transitional care
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer-review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
Publishing Model: Open Access
Deadline: May 12, 2025
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