• 中国科学论文统计源期刊
  • 中国科技核心期刊
  • 美国化学文摘(CA)来源期刊
  • 日本科学技术振兴机构数据库(JST)

JOURNAL OF CLINICAL TRANSFUSION AND LABORATORY MEDICINE ›› 2022, Vol. 24 ›› Issue (2): 202-206.DOI: 10.3969/j.issn.1671-2587.2022.02.013

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Anemia-Related Factors in Very Low Birth Weight Infants and Establishment of an Assessment Model

ZHAO Xing-dan, FU Xiao-ling, WENG Ai-han   

  1. Department of Blood Transfusion,Hainan Women and Children's Medical Center,Haikou 570206
  • Received:2021-09-28 Published:2022-04-12

Abstract: Objective To explore the related factors of very low birth weight infant (VLBWI) anemia, and establish a nomogram prediction model. Methods We retrospectively selected VLBWI admitted to the neonatology department and NICU of our hospital from January 2016 to July 2021 as the research objects,and recorded their general data,prenatal data,postnatal data,and complications during hospitalization. The subjects were divided into anemia group(73 cases)and non-anemia group (81 cases)according to whether they are anemia. Logistic regression analysis was used to screen the related factors of anemia of VLBWI. The nomogram prediction model was established,and the ROC curve was used to evaluate the predictive ability of the nomogram model for VLBWI anemia. Results Multivariate logistic regression results showed birth weight,gestational age at birth,hemoglobin(Hb)at birth,hematocrit(Hct)at birth,and reticulocyte hemoglobin content(RET-He)at birth were independent protective factors for anemia of VLBWI, cesarean section and pregnancy anemia were independent risk factors for anemia of VLBWI. The constructed nomogram model fits well, and the AUC value of the nomogram model predicting anemia of VLBWI was 0.921 (0.907~0.935). Conclusion Birth weight,gestational age at birth,Hb at birth,Hct at birth,RET-He at birth,cesarean section,and anemia during pregnancy are closely related to VLBWI anemia. Clinicians and pregnant women must pay attention to health care during pregnancy control high-risk factors, and improve prognosis of delivery.

Key words: Very low birth weight infants, Anemia, Influencing factors, Nomogram model

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