Evidence map›Paper›PMID 42038235›Full record

ArticleFrontiers in pediatrics2026

Predictive value of red blood cell parameters for sepsis during chemotherapy-induced neutropenia in children with acute lymphoblastic leukemia based on propensity score matching.

Chuncan Wu, Chuan Tian, Liuhua Liao, Lili Liu, Zhonglv Ye, Min Chen, Weijun Huang, Qiping Yang, Xiang Lan

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Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Chuncan WuDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Chuan TianDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Liuhua LiaoDepartment of Pediatrics, Huizhou Central People's Hospital, Huizhou, China.
Lili LiuDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Zhonglv YeDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Min ChenDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Weijun HuangDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Qiping YangDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Xiang LanDepartment of Pediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the predictive efficacy and clinical application value of red blood cell (RBC) parameters (hemoglobin and red blood cell distribution width) and their combined model for sepsis during chemotherapy-induced neutropenia (CIN) in children with acute lymphoblastic leukemia (ALL), based on propensity score matching (PSM) to eliminate confounding bias between groups. Methods: A retrospective cohort design was adopted. A total of 264 children with ALL who received induction remission chemotherapy according to the South China Children's Leukemia Group-ALL-2016 (SCCLG-ALL-2016) protocol and developed CIN between January 2021 and December 2024 in the Affiliated Hospital of Guangdong Medical University and Huizhou Central People's Hospital were included. The patients were divided into a sepsis group and a CIN group according to clinical outcomes. PSM was used to balance baseline characteristics between groups. Univariate and multivariate logistic regression models were used to screen independent influencing factors for sepsis. Receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the predictive efficacy and incremental value of single indicators and the combined model. Decision curve analysis (DCA) was applied to assess clinical net benefit, and Kaplan-Meier curves were plotted to analyze the cumulative incidence of sepsis under different RDW quartiles. Results: A total of 108 patients were included after PSM matching (75 in the CIN group and 33 in the sepsis group). The RDW levels and pediatric Sequential Organ Failure Assessment (pSOFA) scores in the sepsis group were significantly higher than those in the CIN group, while Hb, RBC, and Hct levels were significantly lower ( Conclusions: RBC parameters (RDW, Hb) are independent predictors of sepsis in children with ALL during CIN. The combined prediction model constructed by Hb and RDW can effectively capture early signals of microcirculatory dysfunction, with predictive efficacy and clinical benefit superior to single indicators.

Indexed as

acute lymphoblastic leukemiachemotherapy induced neutropeniapropensity score matchingred blood cell parameterssepsis

Identifiers

PMID42038235
PMCPMC13106554

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