Background: Linezolid-induced thrombocytopenia (LIT) occurs in a dose-dependent manner. There is no consensus regarding personalized dosing of linezolid in the real world. This study investigated the usefulness of personalized dosing for the potential mitigation of LIT compared with standard dosing.
Methods: A systematic review and meta-analysis were performed using 4 medical electronic databases. Inclusion criteria were original research articles published up to October 23, 2023, whereas nonoriginal articles were excluded. Eligible participants included adults who were administered linezolid. A random-effects model was used to synthesize the results.
Results: Four studies were eligible for inclusion. There were 208 patients in the personalized dosing (intervention) group and 195 patients in the standard dosing (comparison) group. The odds ratio for the intervention was 0.648 (95% confidence interval: 0.150-2.797), although significant heterogeneity was observed (I2 = 83.3%). An ad hoc analysis was performed by excluding one study with a significant bias risk in the treatment duration. The odds ratio for the intervention in the ad hoc analysis was 0.356 (95% confidence interval: 0.179-0.708) with little heterogeneity, showing a lower incidence risk of LIT.
Conclusions: Personalized dosing in linezolid therapy may mitigate the risk of LIT.
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http://dx.doi.org/10.1097/FTD.0000000000001300 | DOI Listing |
Curr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Ther Drug Monit
January 2025
Department of Pharmacy, Kumamoto University Hospital, Kumamoto, Japan.
Background: Linezolid-induced thrombocytopenia (LIT) occurs in a dose-dependent manner. There is no consensus regarding personalized dosing of linezolid in the real world. This study investigated the usefulness of personalized dosing for the potential mitigation of LIT compared with standard dosing.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
January 2025
Translational Research Unit, Trainfes Center, Santiago 8760903, Chile.
Background: Rehabilitation is a critical process for enhancing functionality, independence, and quality of life in individuals with disabilities. Grounded in the biopsychosocial model, it addresses physical, emotional, and social dimensions through personalized, evidence-based interventions. By integrating standardized assessments and continuous evaluation, rehabilitation has the potential to promote recovery and support active participation in society.
View Article and Find Full Text PDFObjectives: Non-adherence to medication is common in the adult ADHD clinical group. The goal of this pre-registered study was to examine whether the DSM-5 Alternative Model of Personality Disorder (AMPD), generality personality dysfunction (LPFS-BF 2.0) or maladaptive personality traits (PID-5), can predict time to premature discontinuation of pharmacological treatment beyond other known factors.
View Article and Find Full Text PDFClin Transl Radiat Oncol
March 2025
Department of Radiation Oncology, Oncology Institute of Southern Switzerland, EOC, Bellinzona, Switzerland.
Purpose: In prostate cancer patients, high radiation doses to the urethra have been associated with an increased risk of severe genitourinary toxicity following dose-escalated radiotherapy. Urethra-sparing techniques have emerged as a promising approach to reduce urinary toxicity. This international survey aims to evaluate current global practices in urethra-sparing and explore future directions for the implementation of this technique in external beam radiotherapy (EBRT) for prostate cancer.
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