Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1136/aim.19.2.137 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study.
J Med Internet Res
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Background: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
Objective: This study used machine learning (ML) algorithms with an aim to extract critical predictors and develop an ML model to predict PND among LT recipients.
Methods: In this retrospective study, data from 958 patients who underwent LT between January 2015 and January 2020 were extracted from the Third Affiliated Hospital of Sun Yat-sen University.
Impact of Frailty on Surgical Outcomes of Patients With Cushing Disease Using the Multicenter Registry of Adenomas of the Pituitary and Related Disorders Registry.
Neurosurgery
February 2025
Global Neurosciences Institute, Philadelphia , Pennsylvania , USA.
Background And Objectives: Despite growing interest in how patient frailty affects outcomes (eg, in neuro-oncology), its role after transsphenoidal surgery for Cushing disease (CD) remains unclear. We evaluated the effect of frailty on CD outcomes using the Registry of Adenomas of the Pituitary and Related Disorders (RAPID) data set from a collaboration of US academic pituitary centers.
Methods: Data on consecutive surgically treated patients with CD (2011-2023) were compiled using the 11-factor modified frailty index.
Purpose Of Review: The 2024 mpox outbreak, primarily driven by the possibly more virulent clade Ib strain, prompted the WHO declaring it a public health emergency of international concern (PHEIC) on August 14, 2024. This review provides essential guidance for clinicians managing mpox cases, as it contrasts the features of the 2024 outbreak with those of the 2022 epidemic to support better clinical decision-making.
Recent Findings: The review highlights significant differences between the 2024 and 2022 outbreaks, including total case numbers, demographic distribution, and fatality rates.
Current applications and research trends of ultrasound examination in acute kidney injury assessment: a bibliometric analysis.
Int Urol Nephrol
January 2025
Department of Intensive Care Unit, School of Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, People's Republic of China.
Background: Acute kidney injury (AKI) is a significant clinical condition, and ultrasound examination has emerged as a crucial non-invasive imaging method for assessing kidney status, especially in its diagnosis and management. This study aims to perform a bibliometric analysis to clarify current research trends in ultrasound assessment of AKI.
Methods: We conducted a literature search in the Web of Science database using keywords related to ultrasound examinations of acute kidney injury, up to November 15, 2023.
The predictive value of prostate spherical volume ratio in lower urinary tract symptoms and clinical progression of benign prostatic hyperplasia: a retrospective cohort study.
Int Urol Nephrol
January 2025
Department of Urology, School of Medicine, Shanghai East Hospital, Tongji University, No. 150 Jimo Road, Pudong New District, Shanghai, 200120, China.
Purpose: To evaluate the predictive value of Prostate Spherical Volume Ratio for Lower urinary tract symptoms and clinical progression of Benign prostatic hyperplasia. And compared with other prostatic anatomical parameters.
Methods: A total of 154 patients with Benign prostatic hyperplasia who underwent MRI and urodynamics were included in the study, while prostate anatomical parameters such as prostate spherical volume ratio, prostate volume, intravesical prostatic protrusion, prostatic urethral length and presumed circle area ratio were determined based on MRI measurements.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!