ArticleJournal of intensive medicine2023
Nomogram prediction model called "ADPLCP" for predicting linezolid-associated thrombocytopenia in elderly individuals.
Article in Journal of intensive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Adverse Drug Reaction to Linezolid in Drug-Resistant Tuberculosis: A Systematic Review.Medical sciences (Basel, Switzerland) · 2025Pooled it
- Prediction model of thrombocytopenia on patients using linezolid: a ranked-based covariate selection with multi-center data.Frontiers in pharmacology · 2026Article
- Using Machine Learning to Predict Linezolid-Associated Thrombocytopenia.Infection and drug resistance · 2025Article
- Development and validation of a risk prediction model for linezolid-induced anemia in elderly patients: a retrospective cohort study.Therapeutic advances in drug safety · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Linezolid-associated thrombocytopenia (LAT) leads to drug withdrawal associated with a poor prognosis. Some risk factors for LAT have been identified; however, the sample size of previous studies was small, data from elderly individuals are limited, and a simple risk score scale was not established to predict LAT at an early stage, making it difficult to identify and intervene in LAT at an early stage. Methods: In this single-center retrospective case-control study, we enrolled elderly patients treated with linezolid in the intensive care unit from January 2015 to December 2020. All the data of enrolled patients, including demographic information and laboratory findings at baseline, were collected. We analyzed the incidence and risk factors for LAT and established a nomogram risk prediction model for LAT in the elderly population. Results: A total of 428 elderly patients were enrolled, and the incidence of LAT was 35.5% (152/428). Age ≥80 years old (OR=1.980; 95% CI: 1.179-3.325; Conclusions: We created the ADPLCP risk score scale to predict the occurrence of LAT in elderly individuals. ADPLCP is simple and feasible and is helpful for the early determination of LAT to guide drug withdrawal or early intervention.
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Registered trials
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