Nomogram prediction model called “ADPLCP” for predicting linezolid-associated thrombocytopenia in elderly individuals

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; P=0.010), duration of linezolid ≥ 10 days (OR=1.100; 95% CI: 1.050–1.152; P 150 was defined as high risk, and the probability of LAT was >67.5%. 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.

Keywords

• Linezolid-associated thrombocytopenia
• Nomogram
• Risk prediction model
• Elderly individuals