Standards of intrauterine growth for an African population at sea level

Olowe, S. A.

doi:10.1016/s0022-3476(81)80358-7

Cited by 46 publications

(16 citation statements)

References 9 publications

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“…SCBU has the advantage of capturing other undocumented/undiagnosed morbidities necessitating delay in hospital-discharge especially in resource-poor settings. Intrauterine/fetal growth restriction (IUGR) based on a relevant intrauterine growth curve was also considered [12]. Clinical data was obtained from the hospital records and non-clinical information mainly from the mothers at enrolment.…”

Section: Predictor Variablesmentioning

confidence: 99%

Is discordance in TEOAE and AABR outcomes predictable in newborns?

Olusanya¹,

Bamigboye²

2010

International Journal of Pediatric Otorhinolaryngology

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Section: Predictor Variablesmentioning

confidence: 99%

Is discordance in TEOAE and AABR outcomes predictable in newborns?

Olusanya¹,

Bamigboye²

2010

International Journal of Pediatric Otorhinolaryngology

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“…The low prevalence of SGA in the present study may be due to the different intrauterine growth curves used. The Olowe intrauterine growth chart [20] used in this study classified babies less than minus two standard deviations from the mean or below the 3 rd percentile as SGA whereas the Brenner intrauterine growth chart which uses the 10 th percentile as the cut-off for SGA was used in the study by Metcoff [11] and Adebami et al [5].Korkmaz et al [6]used the Denver growth chart which also used the 10 th percentile as cut-off for SGA. It is possible that the Olowe growth chart used may not have identified all the SGA babies as Brenner or Denver growth charts would have done.…”

Section: Discussionmentioning

confidence: 99%

“…The study was carried out on consecutive, singleton, live born babies of ≥28 completed weeks through 36 [20], birth weights for gestational age below the 3rd percentile and above the 97th percentile on the chart were taken as small for gestational age and large for gestational age respectively. The infant's length was measured using the infants measuring board, Infantometer.…”

Section: Methodsmentioning

confidence: 99%

Determination of Fetal Malnutrition in Preterm Newborns

Ezenwa¹

2013

JFNS

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Abstract:Background: Fetal malnutrition has been associated with an increased risk of neonatal morbidities and mortalities and its proper documentation in a newborn is essential for optimal management of the child.Objective: To determine the nutritional status of preterm newborns at birth using CANSCORE and anthropometry and to compare the relative efficiency of CANSCORE and the anthropometric indices in detecting FM.Methods:The study was carried out on consecutive, singleton, live born babies of ≥28 completed weeks through 36 weeks gestation born at Lagos University Teaching Hospital, Lagos, Nigeria without any major congenital abnormalities or severe perinatal illness. Each infant was examined by the investigator within 48 hours of birth. Birth weights and lengths were recorded for each infant at birth. Using the Oloweintrauterine growth chart, birth weights for gestational age below the 3rd percentile and above the 97th percentile on the chart were taken as small for gestational age and large for gestational age respectively. PI was computed from the formula: PI = weight (g) / length 3 (cm) X100 . A PI <2.2 was considered as malnutrition.The MAC/HC ratio was calculated for each infant and value plotted on and compared with a standard curve. Clinical assessment of nutritional status score (CANSCORE) consisted of inspection and estimation of loss of subcutaneous tissues and muscles in the designated areas. A maximum score of 4 was awarded to each parameter with no evidence of malnutrition, and the lowest score of 1 was awarded to parameter with the worst evidence of malnutrition. Fetal malnutrition was defined as CANSCORE less than 25. Statistical analysis was done using the Epi info statistics software version 3.5.1.Results:One hundred and forty preterm newborns were assessed.One hundred and eight (77%) of them were of LBW. CANSCORE identified 34.3% of the babies as FM while PI, MAC/HC and birth weight identified 30.7%, 12.1 and 3.6% of the babies, respectively, as FM. The mean CANSCORE and anthropometry between males and females were not significantly different (p >0.05). Both CANSCORE and PI detected significantly large numbers of FM in the study sample compared with birth weight. All the anthropometric parameters showed low sensitivity in detection of FM (which is the visible wasting or loss of subcutaneous tissues and muscles) but they all had high specificity.Conclusion:FM is still prevalent in our environment even in preterm babies. CANSCORE identified moremalnourished subjects than anthropometry.

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“…9-11 In 1981, Olowe developed an intrauterine chart from a small population of Nigeria children, largely using a sample of only 436 patients from the country’s commercial city of Lagos. 12 This chart has, therefore, not been widely used in the country and most newborn units continue to use the Lubchenco chart. 7 …”

Section: Introductionmentioning

confidence: 99%

Intrauterine Growth Standards: A Cross-Sectional Study in A Population of Nigerian Newborns

et al. 2012

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The aim of the study was to define an intrauterine growth curve for a population of Nigerian newborn babies. A cross-sectional observational study design was adopted. Weight, length and head circumference were all measured in consecutive singleton deliveries at the University of Ilorin Teaching Hospital over a 3-year period. Gestational age (GA) of the babies was estimated from the last menstrual period or first trimester ultrasound. The estimates obtained were clinically validated using the Ballard score. Mean birth weights and percentiles of the weight, length and head circumferences for the respective GA were estimated using the SPSS 15 software package. A total of 5273 babies were recruited for the study with GA ranging from 25-44 weeks. Comparison of the mean birth weights of the various GA with the data from Denver, Colorado, showed that Nigerian babes tended to weigh less at the early GA, although these differences were not statistically significant. Between 26-36 weeks, the average weights of both sexes were similar; however, beyond this time point there was a consistent increase in the average weight of the males over the female babies. Growth curves for Nigerian newborn babies were generated and showed that the mean birth weight of Nigerian preterm babies was lighter than that of babies in Colorado. The impact of these differences on the classification of newborns will require further evaluation.

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Standards of intrauterine growth for an African population at sea level

Cited by 46 publications

References 9 publications

Is discordance in TEOAE and AABR outcomes predictable in newborns?

Is discordance in TEOAE and AABR outcomes predictable in newborns?

Determination of Fetal Malnutrition in Preterm Newborns

Intrauterine Growth Standards: A Cross-Sectional Study in A Population of Nigerian Newborns

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