Ge Yang , Kun Zhang , Li Deng , Huijuan Liu , Xinrui Fu , Yue Hu , Xiaodan Yan , Xiaoyun Zhou , Wei Luo , Siyao Wang , Xiaotong Ye , Tianlang Zhang , Fan Li , Zhuanxia Huo , Yan Jiang , Shan Zeng , Dehua Wu , Yuan Yuan , Huayan Zhang
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引用次数: 0
Abstract
Objective
Hemolytic disease of newborn (HDN) is a leading risk factor for severe neonatal hyperbilirubinemia. While end-tidal carbon monoxide (CO) corrected for ambient CO (ETCOc) reflects the endogenous rate of bilirubin production, there remain translational gaps in understanding the link between ETCOc and HDN. We aimed to evaluate ETCOc levels as an indicator of increased bilirubin production in HDN.
Methods
This secondary analysis of the HEME (Hyperbilirubinemia risk Evaluation and Management by ETCOc) trial included near-term/term neonates (≥35 weeks’ gestation, birth weight ≥ 2000 g) with transcutaneous bilirubin (TcB) levels > 40th percentile within 72 h of birth. Infants diagnosed with HDN, defined as the presence of ABO HDN and/or glucose-6-phosphate dehydrogenase (G6PD) deficiency, were compared with those without HDN. ETCOc was measured within the first 7 days of life (DOL).
Results
Of 2500 infants studied, 171 (6.8%) were diagnosed with HDN. ETCOc levels within 72 h of birth were significantly higher in HDN cases compared with controls. ETCOc percentiles within 7 DOL showed trends with fluctuations. Each 1 ppm incremental increase in ETCOc was each significantly associated with odds ratios of 3.90 (95 %CI 2.89–5.29), 2.72 (95 %CI 1.89–3.92), and 2.47 (95 %CI 1.21–5.02) of developing HDN early after life ( 72 h).
Conclusion
Early postnatal ETCOc was strongly associated with increased risk of HDN in newborns of Southern China. Our findings highlight the potential of ETCOc as a noninvasive point of care biomarker for early hemolysis identification. Integration of ETCOc measurements into existing screening protocols could refine risk stratification and guide timely interventions, particularly in regions with a high prevalence of HDN.
目的新生儿溶血性疾病(HDN)是新生儿严重高胆红素血症的主要危险因素。虽然潮汐末一氧化碳(CO)校正环境一氧化碳(ETCOc)反映了内源性胆红素生成率,但在理解ETCOc和HDN之间的联系方面仍存在翻译空白。我们的目的是评估ETCOc水平作为HDN中胆红素生成增加的指标。方法对HEME(高胆红素血症风险评估和管理)试验进行二次分析,纳入经皮胆红素(TcB)水平和gt的近期/足月新生儿(≥35孕周,出生体重≥2000 g);出生后72小时内的第40百分位数。诊断为HDN的婴儿,定义为存在ABO HDN和/或葡萄糖-6-磷酸脱氢酶(G6PD)缺乏症,与没有HDN的婴儿进行比较。ETCOc在出生后7天(DOL)内测量。结果在2500名被研究的婴儿中,171名(6.8%)被诊断为HDN。HDN患者出生后72小时内的ETCOc水平明显高于对照组。7个DOL内的ETCOc百分位数呈现波动趋势。ETCOc每增加1 ppm,与生命后早期(≤72 h)发生HDN的比值比分别为3.90 (95% CI 2.89-5.29)、2.72 (95% CI 1.89-3.92)和2.47 (95% CI 1.21-5.02)显著相关。结论出生后早期ETCOc与华南地区新生儿HDN发病风险增高密切相关。我们的研究结果强调了ETCOc作为早期溶血识别的无创护理点生物标志物的潜力。将ETCOc测量整合到现有筛查方案中可以改进风险分层并指导及时干预,特别是在HDN高流行地区。
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.