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

Siqi WU; Gang CHEN; Yishuang XIAO

doi:10.12259/j.issn.2095-610X.S20240520

Volume 45 Issue 5

May 2024

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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, 2024, 45(5): 130-135. doi: 10.12259/j.issn.2095-610X.S20240520

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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, 2024, 45(5): 130-135. doi: 10.12259/j.issn.2095-610X.S20240520

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

doi: 10.12259/j.issn.2095-610X.S20240520

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
Publish Date: 2024-05-31

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)

References

[1]	中华医学会眼科学分会眼底病学组. 中国早产儿视网膜病变筛查指南(2014年)[J]. 中华眼科杂志,2014,50(12):933-935.
[2]	Hellström A,Smith L E H,Dammann O. Retinopathy of prematurity[J]. Lancet,1991,337(8733):83-84. doi: 10.1016/0140-6736(91)90742-8
[3]	Kim T I,Sohn J,Pi S Y,et a1. Postnatal risk factors of retinopathy of prematurity[J]. Paediatr Perinat Epidemiol,2004,18(2):130-134. doi: 10.1111/j.1365-3016.2003.00545.x
[4]	Ronit,Lubetzky,Chaim,et a1. Nucleated red blood cells in preterm infants with retinopathy of prematurity[J]. Pediatrics,2005,116(5):e619-22. doi: 10.1542/peds.2005-0915
[5]	姜海涛,李国仁. 我国早产儿视网膜病变的筛查现状[J]. 国际眼科杂志,2021,21(8):1386-1389.
[6]	陈志伟,凌华,林琳. 早产儿视网膜病变筛查结果及其高危因素分析[J]. 中国医药科学,2019,9(2):77-80.
[7]	Waheeb S,Alshehri K. Incidence of retinopathy of prematurity at two tertiary centers in Jeddah,Saudi Arabia[J],Saudi J Ophthalmol,2016,30(2) : 109- 112.
[8]	Akdogan M,Ustundag Y,Cevik S G,et al. Correlation between systemic immune-inflammation index and routine hemogram-related inflammatory markers in the prognosis of retinopathy of prematurity[J]. Indian J Ophthalmol,2021,69(8):2182-2187. doi: 10.4103/ijo.IJO_2745_20
[9]	Song Y,Jiahua Z,Jingyang W ,et al. Use of the monocyte-to-lymphocyte ratio to predict diabetic retinopathy[J]. International Journal of Environmental Research and Public Health,2015,12(8): 10009-10019.
[10]	中国医师协会新生儿科医师分会. 早产儿治疗用氧和视网膜病变防治指南(2016年)[J]. 发育医学电子杂志,2016,4(4):196-198.
[11]	Paul,Courtright,Amy,et al. Visual impairment in children in middle- and lower-income countries[J]. Archives of Disease in Childhood,2011,96(12):1129. doi: 10.1136/archdischild-2011-300093
[12]	高宏程,陈晨,张迎秋,等. 早产儿视网膜病变的危险因素研究进展[J]. 国际眼科杂志,2018,18(1):80-83.
[13]	陈鹤. 早产儿视网膜病变危险因素分析及发病预测模型研究[D]. 广州: 南方医科大学,2019.
[14]	Modrzejewska M. Retinopathy of prematurity-pathogenesis and prevalence[J]. Ann Acad Med Stetin,2006,52(1):67-72.
[15]	Lundgren P,Klevebro S,Brodin P,et a1. Leucocytosis is associated with retinopathy of prematurity in extremely preterm infants[J]. Acta Paediatr,2019,108(7):1357-1358. doi: 10.1111/apa.14798
[16]	Hong H,Lee H,Ko J ,et al. Neonatal systemic inflammation in rats alters retinal vesseldevelopment and simulates pathologic features of retinopathy of prematurity[J]. Journal of Neuroinflammation,2014,11(1): 707-717.
[17]	Correa-Rocha R ,Alicia Pérez,Lorente R ,et al. Preterm neonates show marked leukopenia and lymphopenia that are associated with increased regulatory T-cell values and diminished IL-7[J]. Pediatric Research,2012,71(5): 590.
[18]	Mosser D M ,Edwards J P . Exploring the full spectrum of macrophage activation[J]. Nature Reviews Immunology,2008,8(12): 958-969.
[19]	高翔,王雨生. 巨噬细胞在小鼠氧诱导视网膜新生血管形成中的作用[J]. 眼科新进展,2015,35(3):201-204.
[20]	Jopling J,Henry E,Wiedmeier S E ,et al. Reference ranges for hematocrit and blood hemoglobin concentration during the neonatal period: Data from a multihospital health care system[J]. Pediatrics,2009,123(2): 2008-2654.
[21]	Lundgren P,Athikarisamy S E,Patole S,et al. Duration of anaemia during the first week of life is an independent risk factor for retinopathy of prematurity[J]. Acta Paediatr,2018,107(5):759-766. doi: 10.1111/apa.14187
[22]	Lundgren P,Hellgren G,Pivodic A,et al. Erythropoietin serum levels,versus anaemia as risk factors for severe retinopathy of prematurity[J]. Pediatr Res,2019,86(2):276-282. doi: 10.1038/s41390-018-0186-6
[23]	Dani C,Martelli E,Bertini G,et al. Effect of blood transfusions on oxidative stress in preterm infants[J]. Arch Dis Child Fetal Neonatal Ed,2004,89(5):F408-F411. doi: 10.1136/adc.2003.037085
[24]	申金付,张琴,李茂,等. 中性粒细胞/淋巴细胞比值与糖尿病视网膜病变的相关性分析[J]. 中国糖尿病杂志,2016,24(7):617-621.
[25]	Hu Y X ,Xu X X ,Shao Y ,et al. The prognostic value of lymphocyte-to-monocyte ratio in retinopathy of prematurity citation[J]. International Journal of Ophthalmology,2017,10(11): 1716-1721.
[26]	Kurtul B E. Neutrophil-to-lymphocyte ratio in ocular diseases: A systematic review[J]. International Journal of Ophthalmology,2019,12(12):1951-1958. doi: 10.18240/ijo.2019.12.18

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