Buhong Zheng1, Zhiyu Huang1, Yunxia Huang1, Liang Hong1, Jinluan Li1, Junxin Wu2. 1. Department of Radiation Oncology, Teaching Hospital of Fujian Medical University, Fujian Provincial Cancer Hospital, Fuma Road 420, Fuzhou, Fujian, People's Republic of China. 2. Department of Radiation Oncology, Teaching Hospital of Fujian Medical University, Fujian Provincial Cancer Hospital, Fuma Road 420, Fuzhou, Fujian, People's Republic of China. junxinwu@outlook.com.
Abstract
PURPOSE: To explore whether monocytes, lymphocytes, and platelets have a predictive value for short-term neutrophil changes in patients with severe neutropenia (SN) induced by chemotherapy. METHODS: Complete blood counts (CBC) were collected from a total of 62 patients with chemotherapy-induced SN from December 2013 to March 2018. CBCs at intervals of 1 day, 2 days, 3 days, 4 days, and 5 days were recorded, and logistic regression analyses were performed to determine whether the monocyte percentage (MP), absolute monocyte count (AMC), lymphocyte percentage (LP), absolute lymphocyte count (ALC), or platelet count (PC) were correlated with short-term neutrophil changes. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for parameters with a P value < 0.05. RESULTS: The MP was significantly correlated with changes in neutrophils for intervals of 1 to 5 days, while the LP was significantly correlated with changes in neutrophils for intervals of 2 to 5 days. A cutoff value of 6.5% for the MP yielded a sensitivity of 80%, a specificity of 88.6%, and an AUC of 0.908 for predicting an increase in neutrophils on the third day. A cutoff value of 14.75% for the LP yielded a sensitivity of 93.3%, a specificity of 70.3%, and an AUC of 0.812 for predicting an increase in neutrophils on the sixth day. CONCLUSIONS: In chemotherapy-induced neutropenia patients, the MP is the best predictor of short-term neutrophil changes. Close monitoring and proper interpretation of the MP and LP are informative in managing chemotherapy-induced neutropenia.
PURPOSE: To explore whether monocytes, lymphocytes, and platelets have a predictive value for short-term neutrophil changes in patients with severe neutropenia (SN) induced by chemotherapy. METHODS: Complete blood counts (CBC) were collected from a total of 62 patients with chemotherapy-induced SN from December 2013 to March 2018. CBCs at intervals of 1 day, 2 days, 3 days, 4 days, and 5 days were recorded, and logistic regression analyses were performed to determine whether the monocyte percentage (MP), absolute monocyte count (AMC), lymphocyte percentage (LP), absolute lymphocyte count (ALC), or platelet count (PC) were correlated with short-term neutrophil changes. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for parameters with a P value < 0.05. RESULTS: The MP was significantly correlated with changes in neutrophils for intervals of 1 to 5 days, while the LP was significantly correlated with changes in neutrophils for intervals of 2 to 5 days. A cutoff value of 6.5% for the MP yielded a sensitivity of 80%, a specificity of 88.6%, and an AUC of 0.908 for predicting an increase in neutrophils on the third day. A cutoff value of 14.75% for the LP yielded a sensitivity of 93.3%, a specificity of 70.3%, and an AUC of 0.812 for predicting an increase in neutrophils on the sixth day. CONCLUSIONS: In chemotherapy-induced neutropeniapatients, the MP is the best predictor of short-term neutrophil changes. Close monitoring and proper interpretation of the MP and LP are informative in managing chemotherapy-induced neutropenia.
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