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Analysis of risk factors and establishment of risk prediction model for linezolid-associated thrombocytopenia
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Yan-Xin Liu1, 2, Ting-Ting Liu2, Ge Wei3, Peng Yan4, Xiang-Qun Fang2, *, Li-Xin Xie1, 4, *
Medical Journal of Chinese People’s Liberation Army | 2021, 46(8) : 777 - 782
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Medical Journal of Chinese People’s Liberation Army | 2021, 46(8): 777-782
Clinical Research
Analysis of risk factors and establishment of risk prediction model for linezolid-associated thrombocytopenia
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Yan-Xin Liu1, 2, Ting-Ting Liu2, Ge Wei3, Peng Yan4, Xiang-Qun Fang2, *, Li-Xin Xie1, 4, *
Affiliations
  • 1Chinese PLA Medical School, Beijing 100853, China
  • 2Department of Respiratory and Critical Care Medicine, the Second Medical Center of Chinese PLA General Hospital, Beijing 100853, China
  • 3People's Liberation Army Haidian District 17th Retired Cadres Rest Home, Beijing 100143, China
  • 4Center of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100094, China
Published: 2021-08-28 doi: 10.11855/j.issn.0577-7402.2021.08.06
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Objective To explore the risk factors of linezolid associated thrombocytopenia and establish a risk prediction model. Methods A total of 796 patients with infection treated by linezolid from January 2010 to December 2020 in 7 intensive care units (ICU) of the First Medical Center of PLA General Hospital were selected. The basic clinical data of the patients were extracted by case retrieval system, and the patients were divided into thrombocytopenia group (n=228) and non-thrombocytopenia group (n=568) according to the occurrence of thrombocytopenia. The general data of the two groups were compared, and the risk factors of linezolid-associated thrombocytopenia were analyzed by multivariate logistic regression, and a risk prediction model was established. Then, the receiver operating characteristic curve (ROC) was used to evaluate the effectiveness of the model. Results Multivariate analysis showed age ≥80 years, duration of linezolid >7 d, WBC count ≥16×109/L, platelet count <200×109/L,and creatinine clearance (Ccr) <50 ml/min were independent risk factors for linezolid associated thrombocytopenia. The area under the curve (AUC) of the risk prediction model was 0.782(95%CI 0.747-0.816, P<0.001), The cut-off value was 6 points, the sensitivity was 82.1%, the specificity was 59.1%, the positive predictive value was 44.7%, and the negative predictive value was 89.1%. Conclusion The risk prediction model based on age, duration of linezolid use, WBC count, platelet count and, Ccr can effectively predict the occurrence of linezolid associated thrombocytopenia.

linezolid associated thrombocytopenia  /  risk factors  /  prediction model
Yan-Xin Liu, Ting-Ting Liu, Ge Wei, Peng Yan, Xiang-Qun Fang, Li-Xin Xie. Analysis of risk factors and establishment of risk prediction model for linezolid-associated thrombocytopenia[J]. Medical Journal of Chinese People’s Liberation Army, 2021 , 46 (8) : 777 -782 . DOI: 10.11855/j.issn.0577-7402.2021.08.06
  • Medical Big Data Project of Chinese PLA General Hospital(2017MED-011)
Year 2021 volume 46 Issue 8
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Article Info
doi: 10.11855/j.issn.0577-7402.2021.08.06
  • Receive Date:2020-12-23
  • Online Date:2025-12-19
  • Published:2021-08-28
Article Data
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History
  • Received:2020-12-23
  • Revised:2021-04-23
Funding
Medical Big Data Project of Chinese PLA General Hospital(2017MED-011)
Affiliations
    1Chinese PLA Medical School, Beijing 100853, China
    2Department of Respiratory and Critical Care Medicine, the Second Medical Center of Chinese PLA General Hospital, Beijing 100853, China
    3People's Liberation Army Haidian District 17th Retired Cadres Rest Home, Beijing 100143, China
    4Center of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100094, China

Corresponding:

*Xie Li-Xin, E-mail: ;
Fang Xiang-Qun, E-mail:
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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