The Correlation between Routine Blood Indicators and Severity of Retinopathy of Prematurity

Siqi WU; Gang CHEN; Yishuang XIAO

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Siqi WU, Gang CHEN, Yishuang XIAO. The Correlation between Routine Blood Indicators and Severity of Retinopathy of Prematurity[J]. Journal of Kunming Medical University.

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Siqi WU, Gang CHEN, Yishuang XIAO. The Correlation between Routine Blood Indicators and Severity of Retinopathy of Prematurity[J]. Journal of Kunming Medical University.

Siqi WU, Gang CHEN, Yishuang XIAO. The Correlation between Routine Blood Indicators and Severity of Retinopathy of Prematurity[J]. Journal of Kunming Medical University.

Citation:

Siqi WU, Gang CHEN, Yishuang XIAO. The Correlation between Routine Blood Indicators and Severity of Retinopathy of Prematurity[J]. Journal of Kunming Medical University.

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The Correlation between Routine Blood Indicators and Severity of Retinopathy of Prematurity

1.
Dept. of Ophthalmology，Kunming Children’s Hospital，Kunming Yunnan 650034
2.
Dept. of Ophthalmology，Dali Maternal and Child Health Hospital，Dali Yunnan 671000，China

Received Date: 2024-01-15
Available Online: 2024-04-25

Abstract

Abstract

Objective To analyze the morbidity rate and severity of retinopathy of prematurity （ROP） so as to provide a basis for the clinical prevention and treatment and reduce the severity of ROP. Methods 648 premature infants, including 371 males and 277 females, who underwent the fundus examination at Kunming Children’ s Hospital from September 2018 to September 2023 were selected and divided into a non ROP group and a ROP group （including pre threshold ROP, threshold ROP, and rapidly advancing posterior pole ROP （A-ROP）. The parameters of gestational age, birth weight, and blood routine were collected, and chi square test was used to detect gender group differences. Univariate analysis of variance was used to analyze the inter group differences in gestational age and birth weight. Rank sum test was used to detect the inter group differences in blood routine data, and the logistic regression analysis were conducted to establish the relevant independent risk factors, and evaluate the early predictive value of LMR and NLR for ROP by drawing receiver operating characteristic （ROC） curves. Results The rank-sum test showed that the differences in gestational age, daytime age, and birth weight were statistically significant （P < 0.05） in the four groups compared with the no-ROP, pre-threshold, threshold, and A-ROP groups. The white blood cell count, neutrophil count, monocyte count, hemoglobin, and NLR ratio were significantly lower and the LMR ratio was significantly higher in the three ROP groups compared to the children in the no-ROP group, and the differences were statistically significant （P < 0.05）. Multi-factor logistic regression analysis suggested that birth weight, gestational age, hemoglobin, NLR, and LMR were independent risk factors for the development of ROP （P < 0.05）. The ROC curve showed that the area under the curve for LMR was 0.651 （95%CI: 0.605-0.698）, with a best predictive value was 7.36, corresponding to a sensitivity of 55.8% and a specificity of 71.4%. Conclusion Birth weight, gestational age, hemoglobin, and NLR are independent risk factors for ROP, with birth weight, gestational age, and hemoglobin as the protective factors. LMR has some early predictive value for ROP.
- Retinopathy of prematurity,
- Risk factors,
- Blood indices,
- Disease severity

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References(26)

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