Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis

被引:23
|
作者
McLeod, Jennifer S. [1 ]
Menon, Anitha [2 ]
Matusko, Niki [3 ]
Weiner, Gary M. [4 ,5 ]
Gadepalli, Samir K. [1 ,4 ]
Barks, John [4 ,5 ]
Mychaliska, George B. [1 ,4 ]
Perrone, Erin E. [1 ,4 ]
机构
[1] Univ Michigan, Dept Surg, Pediat Surg Sect, Michigan Med, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Med, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Dept Surg Stat, Michigan Med, Ann Arbor, MI 48109 USA
[4] Univ Michigan, Michigan Med, Fetal Diag & Treatment Ctr, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Dept Pediat, Michigan Med, Neonatal Perinatal Med Div, Ann Arbor, MI 48109 USA
关键词
BIRTH-WEIGHT INFANTS; NEONATAL INTENSIVE-CARE; CRIB-II; ILLNESS SEVERITY; ACUTE PHYSIOLOGY; GESTATIONAL-AGE; BABIES SCORE; INDEX; PREDICTION; POPULATION;
D O I
10.1038/s41372-020-0650-0
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective To compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting pre-discharge mortality among very low birth weight (VLBW) infants (<1500 g) and very preterm infants (<32 weeks' gestational age). Study design PubMed, EMBASE, and Scopus were the data sources searched for studies published before January 2019. Data were extracted, pooled, and analyzed using random-effects models and reported as AUC with 95% confidence intervals (CI). Results Of 1659 screened studies, 24 met inclusion criteria. CRIB was the most discriminate for predicting pre-discharge mortality [AUC 0.88 (0.86-0.90)]. GA was the least discriminate [AUC 0.76 (0.72-0.80)]. Conclusions Although the original CRIB score was the most accurate predictor of pre-discharge mortality, significant heterogeneity between studies lowers confidence in this pooled estimate. A more precise illness severity score to predict pre-discharge mortality is still needed.
引用
收藏
页码:695 / 703
页数:9
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