Cui Xuewei, Fu Jianhua
Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Front Pediatr. 2022 Aug 11;10:959513. doi: 10.3389/fped.2022.959513. eCollection 2022.
This study investigated whether 8-hydroxy-2'-deoxyguanosine (8-OHdG) and N-terminal pro-brain natriuretic peptide (NT-proBNP) concentrations in the urine could predict bronchopulmonary dysplasia (BPD) in preterm infants.
This prospective cohort study enrolled 165 preterm infants, of whom 70 developed BPD. We measured urinary 8-OHdG and NT-proBNP concentrations from day of life (DOL) 7 to 28. Then, we evaluated the prediction efficiency by receiver operating characteristic curves and assessed correlations between the two biomarkers. Finally, we identified the predictive risk factors for BPD by multivariable logistic regression.
8-OHdG and NT-proBNP levels were significantly higher from DOL 7 to 28 in the BPD group than in the control group ( < 0.05). Additionally, the 8-OHdG level was positively correlated with the NT-proBNP level (r: 0.655-0.789, < 0.001), and the 8-OHdG and NT-proBNP levels were positively correlated with mechanical ventilation duration and oxygen exposure time (r: 0.175-0.505, < 0.05) from DOL 7 to 28. Furthermore, the 8-OHdG (DOL 14-28) and NT-proBNP (DOL 7-28) levels were significantly associated with BPD development ( < 0.05).
The urine 8-OHdG concentrations from DOL 14 to 28 and NT-proBNP concentrations from DOL 7 to 28 may be practical non-invasive predictors of BPD development in preterm infants.
本研究调查了尿中8-羟基-2'-脱氧鸟苷(8-OHdG)和N末端脑钠肽前体(NT-proBNP)浓度是否可预测早产儿支气管肺发育不良(BPD)。
这项前瞻性队列研究纳入了165例早产儿,其中70例发生了BPD。我们测量了出生后第7天至28天的尿8-OHdG和NT-proBNP浓度。然后,我们通过受试者工作特征曲线评估预测效率,并评估两种生物标志物之间的相关性。最后,我们通过多变量逻辑回归确定BPD的预测危险因素。
BPD组出生后第7天至28天的8-OHdG和NT-proBNP水平显著高于对照组(<0.05)。此外,8-OHdG水平与NT-proBNP水平呈正相关(r:0.655 - 0.789,<0.001),出生后第7天至28天的8-OHdG和NT-proBNP水平与机械通气时间和吸氧时间呈正相关(r:0.175 - 0.505,<0.05)。此外,8-OHdG(出生后第14天至28天)和NT-proBNP(出生后第7天至28天)水平与BPD的发生显著相关(<0.05)。
出生后第14天至28天的尿8-OHdG浓度和出生后第7天至28天的NT-proBNP浓度可能是早产儿BPD发生的实用非侵入性预测指标。