共 50 条
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
相关论文