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| Clinical Value of Platelet Distribution Width in Predicting the Prognosis of Patients with Radical Resection of Lung Adenocarcinoma |
| XU Sumei, ZHU Rongrong |
| Department of Laboratory Medicine, Shanghai International Medical Center, Shanghai 201321 |
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Abstract 【Objective】 To explore the clinical value of platelet distribution width (PDW) in predicting the prognosis of patients with radical resection of lung adenocarcinoma. 【Methods】The PDW levels of 186 patients undergoing radical resection of lung adenocarcinoma admitted to two hospitals were measured. The critical value of PDW was determined based on the receiver operating characteristic (ROC) curve of the subjects, and the patients were divided into high PDW group and low PDW group. The relationship between PDW levels and clinical characteristics of cancer patients was analyzed. After discharge, continuous follow-up for 3 years was conducted to explore the influencing factors of patient prognosis using multivariate Cox regression analysis. 【Results】The optimal cutoff value for PDW was 2.57, which had the highest predictive value. The high expression rate of PDW in patients with TNM stage Ⅱ-Ⅲ and tumor diameter>3 cm was higher than that in patients with TNM stage I and tumor diameter ≤ 3 cm (P<0.05). After a 3-year follow-up, 119 out of 186 patients survived, with an overall survival rate of 63.98% (119/186); The 3-year overall survival rate of patients was related to TNM staging, tumor diameter, and PDW (mean P<0.05); The 3-year overall survival rate of patients in the low PDW group was 79.00% (79/100), which was higher than the 46.51% (40/86) in the high PDW group (P<0.05). Multivariate Cox regression analysis showed that TNM stage Ⅱ-Ⅲ, tumor diameter ≥3 cm, and PDW ≥ 2.57 were risk factors for poor prognosis in patients (P<0.05). 【Conclusion】The level of PDW is closely related to the prognosis of patients with radical resection of lung adenocarcinoma, and it also has high predictive value for prognosis evaluation. PDW, TNM staging, and tumor diameter are independent risk factors affecting patient prognosis.
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Received: 20 February 2024
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2024, Vol. 41 
