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Titolo:
AN ANALYSIS OF BIRTH-WEIGHT BY GESTATIONAL-AGE USING A COMPUTERIZED PERINATAL DATA-BASE, 1975-1992
Autore:
AMINI SB; CATALANO PM; HIRSCH V; MANN LI;
Indirizzi:
CASE WESTERN RESERVE UNIV,SCH MED,DEPT EPIDEMIOL & BIOSTAT CLEVELAND OH 44105 CASE WESTERN RESERVE UNIV,SCH MED,DEPT REPROD BIOL CLEVELAND OH 44106 CASE WESTERN RESERVE UNIV,METRO HLTH MED CTR,DEPT OBSTET & GYNECOL CLEVELAND OH 00000
Titolo Testata:
Obstetrics and gynecology
fascicolo: 3, volume: 83, anno: 1994,
pagine: 342 - 352
SICI:
0029-7844(1994)83:3<342:AAOBBG>2.0.ZU;2-Z
Fonte:
ISI
Lingua:
ENG
Soggetto:
FETAL GROWTH; INFANTS; STANDARD; MOTHERS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
17
Recensione:
Indirizzi per estratti:
Citazione:
S.B. Amini et al., "AN ANALYSIS OF BIRTH-WEIGHT BY GESTATIONAL-AGE USING A COMPUTERIZED PERINATAL DATA-BASE, 1975-1992", Obstetrics and gynecology, 83(3), 1994, pp. 342-352

Abstract

Objective: To develop birth weight-for-gestational age nomograms based on a computerized perinatal data base collected prospectively from 1975-1992. Methods: Using information from over 60,000 singleton deliveries (January 1975 through October 1992) at the Metro-Health Medical Center in Cleveland, Ohio, standard curves for normal birth weights were computed. Nomograms were developed for the overall population and for subgroups determined by factors known to affect fetal growth, including sex, race, smoking status, and gestational diabetes. The nomogramsincluded the tenth, 50th, and 90th percentiles of birth weights for 24-44 weeks' gestation. Gestational age was based on clinical obstetricestimates confirmed by Dubowitz assessment of the neonate. In addition, third-order regression models were developed to predict median birth weight using gestational age. These models were validated using delivery data for the months of November and December, 1992, which were not included in model development. Results: The most significant predictors of median birth weight were the first-, second-, and third-order gestational ages, which explained over 80% of the total variation in birth weight. Other significant factors influencing birth weight included infant gender, maternal race, parity, smoking, and diabetes status. Among the marginally significant factors influencing birth weight werepay status and maternal age. In general, before 33 weeks' gestation, there were few differences in the birth weight percentiles of various groups except for those with diabetes; infants of diabetic women exhibited greater birth weights as early as 26 weeks' gestation. Conclusions: Considering the large size of the data base and the diverse background of the study population, we believe that these nomograms provide useful norms of birth weight for an indigent urban population. These norms enhance the obstetrician's and neonatologist's ability to identifytrue cases of retardation or acceleration of intrauterine growth. Simple mathematical models provide easy calculation of the median birth weights for 24-44 weeks while adjusting for many confounding factors.

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Documento generato il 22/09/20 alle ore 14:02:26