1991
DOI: 10.1111/j.1469-8749.1991.tb05092.x
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The Epidemiology of Germinal Matrix Hemorrhage During the First Half‐day of Life

Abstract: SUMMARY The personal and maternal characteristics of 27 babies with early‐onset germinal matrix hemorrhage (EGMH) were compared with those of 280 babies with normal cranial ultrasonograms, studied in a separate clinical trial. None of the mothers of the babies with EGMH had high blood pressure or pre‐eclampsia during pregnancy. Gestational age <30 weeks and initial pH <7·2 indicated increased risks of EGMH, and maternal receipt of steroids indicated reduced risk of EGMH. Thus prenatal and immediately perinatal… Show more

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Cited by 52 publications
(15 citation statements)
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“…Because postnatal phenomena, such as the need for ventilation assistance, can be influenced by antepartum phenomena, we created logistic regression models in which risk factors are ordered in a temporal pattern, so that the earliest occurring predictors/covariates of CBCL-DP are entered first and are not displaced by later occurring covariates. 41,42 For these time-oriented risk models (TORMs), we categorize sets of antecedents/covariates by the time they occurred or are identified. We selected variables in each epoch using a manual backwards stepwise selection procedure, in which covariates were removed singly until all predictors in the model were statistically significant (p<.05).…”
Section: Methodsmentioning
confidence: 99%
“…Because postnatal phenomena, such as the need for ventilation assistance, can be influenced by antepartum phenomena, we created logistic regression models in which risk factors are ordered in a temporal pattern, so that the earliest occurring predictors/covariates of CBCL-DP are entered first and are not displaced by later occurring covariates. 41,42 For these time-oriented risk models (TORMs), we categorize sets of antecedents/covariates by the time they occurred or are identified. We selected variables in each epoch using a manual backwards stepwise selection procedure, in which covariates were removed singly until all predictors in the model were statistically significant (p<.05).…”
Section: Methodsmentioning
confidence: 99%
“…Because postnatal phenomena, such as the need for respiratory support, can be influenced by antepartum factors, and these relationships can vary over time,30 we created LR models in which risk factors were ordered in a temporal pattern, so that the earliest occurring predictors/covariates of a CP diagnosis were entered first and those that were significantly associated with the outcome of interest were not displaced by later occurring covariates 13 3136. For the time-oriented regression models, we categorise sets of antecedents/covariates by the time they occurred or were identified.…”
Section: Methodsmentioning
confidence: 99%
“…Because postnatal phenomena, such as the need for ventilatory assistance, can be influenced by antepartum phenomena, we created logistic regression models in which risk factors are ordered in a temporal pattern, so that the earliest occurring predictors/covariates of an outcome (eg, CLD) are entered first and are not displaced by later occurring covariates 914. For these time-oriented risk models (TORMs), we categorise sets of antecedents/covariates by the time they occur or are identified.…”
Section: Methodsmentioning
confidence: 99%