Results 1 to 10 of about 3,123 (128)

Braden score for early mortality risk assessment in critically ill intensive care patients with multiple organ dysfunction syndrome  [PDF]

open access: yesScientific Reports
Multiple organ dysfunction syndrome (MODS) is a clinical syndrome characterized by the simultaneous or sequential dysfunction of two or more organs. This condition can result in prolonged hospital stays, high in-hospital mortality rates, and an increased
Yuwei Ji
exaly   +3 more sources

The relationship between admission Braden score and poor prognosis in Sepsis patients: evidence from the MIMIC-III database [PDF]

open access: yesBMC Infectious Diseases
Background The measurement of Braden score can be used as a useful tool for clinical care. However, the relationship between the Braden score and clinical outcomes in sepsis patients remains unclear. This study aims to investigate the association between
Ding T   +5 more
exaly   +3 more sources

Braden score at ICU admission predicts 30-day mortality in acute pancreatitis. [PDF]

open access: yesBiomol Biomed
The Braden score, a bedside assessment tool for evaluating the risk of pressure ulcers and frailty, may identify vulnerabilities pertinent to outcomes in acute pancreatitis (AP).
Dong L, Wang H, Yang X, Zhu X, He C.
europepmc   +2 more sources

Admission Braden Scale Score Is Associated with In-Hospital Mortality in ICU Patients Admitted After a Same-Level Fall: A Retrospective Cohort Study. [PDF]

open access: yesDiagnostics (Basel)
Background/Objectives: Ground-level falls (GLFs) are the leading cause of injury-related deaths in older adults, yet a validated bedside tool for early mortality risk stratification remains unavailable.
Kayan T   +6 more
europepmc   +2 more sources

Models Containing the Braden Scale Predict Activities of Daily Living Improvement in Post-Stroke Hemiplegia: A Single Center Retrospective Cohort Study. [PDF]

open access: yesPhysiother Res Int
ABSTRACT Background and Purpose This study sought to develop and validate a predictive model integrating the Braden scale to forecast the recovery of activities of daily living (ADL) in patients with post‐stroke hemiplegia. Additionally, it aimed to evaluate the effectiveness of a comprehensive rehabilitation program.
Zhu Y   +6 more
europepmc   +2 more sources

Development and validation of a nomogram for predicting ADL outcomes in patients undergoing subacute stroke rehabilitation based on machine learning and standard bedside clinical data: a retrospective cohort study. [PDF]

open access: yesFront Neurol
BackgroundThe subacute phase is a key period for stroke recovery, yet there is a lack of simple and effective indicators to predict rehabilitation outcomes.
Chen X   +6 more
europepmc   +2 more sources

Turkish Translation and Cultural Adaptation, Validity and Reliability of the CALCULATE Pressure Injury Risk Scale in Intensive Care Unit Patients. [PDF]

open access: yesNurs Open
ABSTRACT Background Pressure injuries are largely preventable adverse events that compromise patients' quality of life and impose a substantial financial burden on healthcare systems. Aim To assess the validity and reliability of the Turkish version of the Critical Care Pressure Ulcer Assessment Tool Made Easy (CALCULATE) for evaluating pressure injury
Alkan AÖ, Karabacak Ü.
europepmc   +2 more sources

Prognostic value of the Braden scale for short-term mortality in critically ill patients with traumatic brain injury. [PDF]

open access: yesSci Rep
Traumatic brain injury (TBI) is a leading cause of global mortality and disability. Early identification of mortality risk factors is crucial for improving outcomes.
Wang B   +7 more
europepmc   +2 more sources

The Predator-Prey Encounter Detection (PrED) Model: Detecting Interactions Between Rotifers and Algae Using Computer Vision and Machine Learning. [PDF]

open access: yesEcol Evol
Using a simpler predator‐prey pairing of a semi‐sessile rotifer and motile algae, the Predator‐Prey Encounter Detection (PrED) model aims to streamline and semi‐automate video analysis of species interactions using computer‐vision and machine learning techniques. Based on Ultralytics YOLOv5 architecture with an implementation of SORT tracking, the PrED
DeMattei BC, Hampton SE.
europepmc   +2 more sources

Early Detection of Deep Tissue Pressure Injury in Intensive Care Using Hemodynamics-Based Machine Learning: A Retrospective Cohort Study. [PDF]

open access: yesInt Wound J
ABSTRACT This study examines factors associated with deep tissue pressure injury and develops interpretable machine learning models for early risk prediction in adult ICU patients. This retrospective observational cohort study included 336 adult intensive care unit patients, of whom 211 developed deep tissue pressure injury and 125 remained pressure ...
Sengul T   +10 more
europepmc   +2 more sources

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