PMID- 15576272
OWN - NLM
STAT- MEDLINE
DCOM- 20050310
LR  - 20220316
IS  - 0300-5577 (Print)
IS  - 0300-5577 (Linking)
VI  - 32
IP  - 6
DP  - 2004
TI  - Predicting neonatal outcomes: birthweight, body mass index or ponderal index?
PG  - 509-13
AB  - AIMS: To compare birthweight (BW), body mass index (BMI) and ponderal index (PI) 
      as predictors of selected short-term (ST) outcomes, namely Neonatal Intensive 
      Care Unit (NICU) admission and prolonged hospitalization (PH), among newborn (NB) 
      infants. METHODS: Data was collected prospectively on 9,226 infants born during 
      one year at nine tertiary care hospitals in Greater Beirut, Lebanon. The 
      predictive abilities of BW, BMI and PI were compared using the area under the 
      receiver operator characteristic (ROC) curves and sensitivity analysis was 
      performed at the optimal cut-off points for the best anthropometric measurement. 
      RESULTS: The area under the ROC curve suggested superior discriminative power for 
      BW as compared to BMI or PI, as a predictor of NICU admission (ROC area = 0.73) 
      and PH (ROC area = 0.74). The optimal BW cut-off point was 2750 g (sensitivity: 
      0.49; specificity: 0.89) and 2950 g (sensitivity: 0.62; specificity: 0.78) for 
      NICU admission and PH, respectively. CONCLUSION: In our population of NB infants, 
      BW--a crude measure of fetal growth--is a better predictor than either BMI--a 
      measure of adiposity in adults and children--or PI--a measure of thinness at 
      birth--for selected ST outcomes in NB infants.
FAU - Tamim, Hala
AU  - Tamim H
AD  - Department of Epidemiology and Biostatistics, Faculty of Health Sciences, 
      American University of Beirut, Beirut, Lebanon.
FAU - Beydoun, Hind
AU  - Beydoun H
FAU - Itani, Mohammad
AU  - Itani M
FAU - Khogali, Mustafa
AU  - Khogali M
FAU - Chokr, Imad
AU  - Chokr I
FAU - Yunis, Khalid A
AU  - Yunis KA
CN  - National Collaborative Perinatal Neonatal Network
LA  - eng
PT  - Comparative Study
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - Germany
TA  - J Perinat Med
JT  - Journal of perinatal medicine
JID - 0361031
SB  - IM
MH  - Birth Weight
MH  - Body Mass Index
MH  - Female
MH  - Gestational Age
MH  - Head/anatomy & histology
MH  - Hospitals/statistics & numerical data
MH  - Humans
MH  - Infant, Newborn
MH  - Infant, Newborn, Diseases/*mortality/pathology
MH  - Intensive Care Units, Neonatal/statistics & numerical data
MH  - Lebanon/epidemiology
MH  - Male
MH  - Patient Admission
MH  - Predictive Value of Tests
MH  - Pregnancy
MH  - Prospective Studies
MH  - ROC Curve
MH  - Sensitivity and Specificity
MH  - *Severity of Illness Index
EDAT- 2004/12/04 09:00
MHDA- 2005/03/11 09:00
CRDT- 2004/12/04 09:00
PHST- 2004/12/04 09:00 [pubmed]
PHST- 2005/03/11 09:00 [medline]
PHST- 2004/12/04 09:00 [entrez]
AID - 10.1515/JPM.2004.120 [doi]
PST - ppublish
SO  - J Perinat Med. 2004;32(6):509-13. doi: 10.1515/JPM.2004.120.