Results 131 to 140 of about 1,392,484 (364)

Text mining for case report articles on “peritoneal dialysis” from PubMed database

open access: yesTherapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 459-470, June 2025.
Abstract Introduction The number of published medical articles on peritoneal dialysis (PD) has been increasing, and efficiently selecting information from numerous articles can be difficult. In this study, we examined whether artificial intelligence (AI) text mining can be a good support for efficiently collecting PD information.
Kazuhiko Fukushima   +6 more
wiley   +1 more source

Risk of hospitalization associated with body mass index and weight changes among prevalent haemodialysis patients [PDF]

open access: yes, 2018
COSMOS is sponsored by the Bone and Mineral Research Unit (Hospital Universitario Central de Asturias), SAFIM (Sociedad Asturiana Fomento Investigaciones Óseas), the European Renal Association-European Dialysis and Transplant Association, the National ...
Cabezas Rodríguez, I.   +3 more
core   +2 more sources

Impact of hot stone massage therapy on sleep quality in patients on maintenance hemodialysis: A randomized controlled trial

open access: yesJournal of Research in Medical Sciences, 2019
Background: Many patients on maintenance hemodialysis experience sleep disorders. This problem is related to depression, anxiety, hospitalizations, chronic medical conditions, decreased quality of life, and increasing mortality rate in patients on ...
H. Ghavami   +4 more
semanticscholar   +1 more source

Impact of barometric pressure on blood pressure during dialysis: Introducing intradialytic time‐averaged cumulative systolic blood pressure (TACsBP‐inD) as a new metric

open access: yesTherapeutic Apheresis and Dialysis, Volume 29, Issue 3, Page 525-534, June 2025.
Abstract Background Blood pressure is a crucial risk factor for hemodialysis patients, but the specific impact of weather factors, particularly barometric pressure, on blood pressure remains unclear. This study aims to examine the relationship between barometric pressure and blood pressure in hemodialysis patients. Methods We conducted a single‐center,
Kosaku Iwatsubo   +2 more
wiley   +1 more source

Relationship of serum ferritin level with prognosis in maintenance hemodialysis patients

open access: yesLinchuang shenzangbing zazhi, 2019
Objective To explore the relationship of serum ferritin(SF) level with prognosis in maintenance hemodialysis patients.Methods From June 2011 to December 2012, 180 patients with end-stage renal diseases(ESRD) who underwent maintenance hemodialysis in the ...
WANG Ming-li, CHEN De-zheng
doaj  

Uremic xerosis among patients on maintenance hemodialysis: Prevalence and correlation with clinical and laboratory markers

open access: yesУкраїнський Журнал Нефрології та Діалізу
Xerosis, characterized by dry skin, is a frequent manifestation in patients undergoing maintenance hemodialysis. Understanding the prevalence of xerosis in this population and exploring its associations with various clinical and laboratory parameters is
Zahraa Jasim, Hayder Aledan
doaj   +1 more source

Understanding safety-critical interactions with a home medical device through Distributed Cognition [PDF]

open access: yes, 2015
As healthcare shifts from the hospital to the home, it is becoming increasingly important to understand how patients interact with home medical devices, to inform the safe and patient-friendly design of these devices.
Blandford, AE, Mayer, A, Rajkomar, A
core  

Characterizing cardiac involvement in chronic kidney disease using CMR—a systematic review [PDF]

open access: yes, 2018
Purpose of Review: The aim of the review was to identify and describe recent advances (over the last 3 years) in cardiac magnetic resonance (CMR) imaging in patients with chronic kidney disease (CKD).
Mangion, Kenneth   +3 more
core   +1 more source

Role of resilience and social support in alleviating depression in patients receiving maintenance hemodialysis

open access: yesTherapeutics and Clinical Risk Management, 2018
Background Patients who undergo hemodialysis encounter challenges including role changes, physical degeneration, and difficulty in performing activities of daily living (ADLs) and self-care.
Yueh-Min liu   +5 more
semanticscholar   +1 more source

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

open access: yesArtificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato   +11 more
wiley   +1 more source

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