Serum markers of visceral and somatic protein status are directly correlated with the survival of hemodialysis patients. We prospectively examined the relationship of single baseline levels of serum albumin, cholesterol, creatinine, and urea to prognosis in 80 continuous ambulatory peritoneal dialysis patients monitored for up to 33 months. Other variables tested included age, race, gender, diabetes, cause of end-stage renal disease, and number of months on dialysis. The Cox proportional hazards model was used to determine independent predictors of mortality risk. In a subgroup of 33 patients followed for up to 21 months, the predictive value of single measurements of baseline serum prealbumin also was tested. Overall, 29 patients died during the study. Independent predictors of mortality risk included serum albumin (P = 0.024) and creatinine (P = 0.006), diabetes (P < 0.06), prior months on dialysis (P < 0.05), and older age (P = 0.18). In a subgroup of 33 patients with prealbumin measurements, there were nine deaths over 21 months. A serum prealbumin level less than 30 mg/dL was associated with an increased mortality rate compared with higher prealbumin values (odds ratio, 3.8; P = 0.09). We conclude that markers of visceral and somatic nutrition are important and independent predictors of mortality risk in continuous ambulatory peritoneal dialysis patients. We are unable to suggest whether the relationship is causal or causative. However, the predictive value of these single baseline markers were valid for up to 33 months. We also note that patients with diabetes are at an increased risk even after adjusting for somatic and visceral protein status.
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Rev Esp Anestesiol Reanim (Engl Ed)
January 2025
Servicio de Anestesiología y Reanimación, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Departamento de Medicina Legal, Psiquiatría y Patología, Universidad Complutense, Madrid, Spain. Electronic address:
Introduction: Postoperative pain in ambulatory surgery (AS) continues to be a recurrent problem despite anesthetic and surgical advances. Analgesic prescription and follow-up by patients at home may be a determining factor. Our objective was to evaluate analgesic prescription and its impact on the intensity of postoperative pain at 24 h and 7 days in an AS unit.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Information Engineering, University of Florence, 50139 Florence, Italy.
The increasing demand for personalized healthcare, particularly among individuals requiring continuous health monitoring, has driven significant advancements in sensor technology. Wearable, non-continuous monitoring, and non-contact sensors are leading this innovation, providing novel methods for monitoring vital signs and physiological data in both clinical and home settings. However, there is a lack of comprehensive comparative studies assessing the overall functionality of these technologies.
View Article and Find Full Text PDFJ Urol
January 2025
Department of Population Health, NYU Grossman School of Medicine, New York, New York.
Purpose: We aimed to determine whether implementation of clinical decision support (CDS) tool integrated into the electronic health record (EHR) of a multi-site academic medical center increased the proportion of patients with American Urological Association (AUA) "high risk" microscopic hematuria (MH) who receive guideline concordant evaluations.
Materials And Methods: We conducted a two-arm cluster randomized quality improvement project in which 202 ambulatory sites from a large health system were randomized to either have their physicians receive at time of test results an automated CDS alert for patients with 'high-risk' MH with associated recommendations for imaging and cystoscopy (intervention) or usual care (control). Primary outcome was met if a patient underwent both imaging and cystoscopy within 180 days from MH result.
PLoS One
January 2025
Discipline of Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Background: Diabetes mellitus (DM) is a global health problem. Adherence to intensive insulin therapy is necessary to achieve better glycemic control in types 1 and 2 DM. This study aimed to evaluate the extent of adherence to insulin therapy, its predictors and to identify barriers to its adherence.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Center for Wearable Intelligent Systems and Healthcare, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Recognizing human body motions opens possibilities for real-time observation of users' daily activities, revolutionizing continuous human healthcare and rehabilitation. While some wearable sensors show their capabilities in detecting movements, no prior work could detect full-body motions with wireless devices. Here, we introduce a soft electronic textile-integrated system, including nanomaterials and flexible sensors, which enables real-time detection of various full-body movements using the combination of a wireless sensor suit and deep-learning-based cloud computing.
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