Background: The use of cisplatin is limited by the development of nephrotoxicity, with an incidence approaching 30%. It is unclear if a risk prediction score can effectively predict the development of nephrotoxicity throughout all cycles of cisplatin therapy among outpatients.
Methods: Retrospective, observational study evaluating adult patients receiving cisplatin in outpatient infusion centers from January 2009 to November 2019 (n = 186). A risk prediction score consisting of patient age, cisplatin dose, hypertension, and serum albumin was calculated to predict the risk of cisplatin-induced nephrotoxicity.
Results: The incidence of nephrotoxicity was 23.7% overall, with 8.1% of patients developing cisplatin-induced nephrotoxicity after the first dose. Patients who developed nephrotoxicity had a higher mean risk prediction score compared to patients who did not have nephrotoxicity (4.0 ± 2.0 versus 2.9 ± 2.1, p = 0.004, respectively). Multivariate logistic regression demonstrated each 1-point increase in the risk prediction score increased the odds of nephrotoxicity by 26.5% (OR: 1.27; 95% CI: 1.02-1.57, p = 0.034). Presence of diabetes mellitus increased the odds of cisplatin-induced nephrotoxicity (OR 3.66; 95% CI: 1.43-9.33, p = 0.007), whereas receipt of greater than or equal to 1 liter of 0.9% sodium chloride was protective, decreasing the odds of developing nephrotoxicity by 25%.
Conclusion: By identifying patients at the highest risk of cisplatin-induced nephrotoxicity, providers can individualize risk reduction strategies. The use of a risk prediction model successfully predicted the risk of nephrotoxicity throughout all cycles of cisplatin in an outpatient setting.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/phar.2500 | DOI Listing |
Am J Emerg Med
January 2025
Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.
Background: The study of the inclusion of new variables in already existing early warning scores is a growing field. The aim of this work was to determine how capnometry measurements, in the form of end-tidal CO2 (ETCO2) and the perfusion index (PI), could improve the National Early Warning Score (NEWS2).
Methods: A secondary, prospective, multicenter, cohort study was undertaken in adult patients with unselected acute diseases who needed continuous monitoring in the emergency department (ED), involving two tertiary hospitals in Spain from October 1, 2022, to June 30, 2023.
Biomed Phys Eng Express
January 2025
Shandong University of Traditional Chinese Medicine, Qingdao Academy of Chinese Medical Sciences, Jinan, Shandong, 250355, CHINA.
Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's disease, and it can be used as an important indicator of disease progression. However, many existing methods focus mainly on the image itself when processing brain imaging data, ignoring other non-imaging data (e.g.
View Article and Find Full Text PDFJ Neurosurg Pediatr
January 2025
1Division of Neurosurgery, Department of Surgery, Children's Hospital of Philadelphia.
Objective: The natural history of cephaloceles is not well understood. The goal of this study was to better understand the natural history of fetal cephaloceles from prenatal diagnosis to the postnatal period.
Methods: Between January 2013 and April 2023, all patients evaluated with a cephalocele at the Center for Fetal Diagnosis and Treatment were identified.
PLoS One
January 2025
Center of Excellence in Probiotics, Srinakharinwirot University, Bangkok, Thailand.
Modern treatment, a healthy diet, and physical activity routines lower the risk factors for metabolic syndrome; however, this condition is associated with all-cause and cardiovascular mortality worldwide. This investigation involved a randomized controlled trial, double-blind, parallel study. Fifty-eight participants with risk factors of metabolic syndrome according to the inclusion criteria were randomized into two groups and given probiotics (Lacticaseibacillus paracasei MSMC39-1 and Bifidobacterium animalis TA-1) (n = 31) or a placebo (n = 27).
View Article and Find Full Text PDFClin Infect Dis
January 2025
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Background: Existing risk evaluation tools underperform in predicting intensive care unit (ICU) admission for patients with the Coronavirus Disease 2019 (COVID-19). This study aimed to develop and evaluate an accurate and calculator-free clinical tool for predicting ICU admission at emergency room (ER) presentation.
Methods: Data from patients with COVID-19 in a nationwide German cohort (March 2020-January 2023) were analyzed.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!