Prediction of the Development of Low Birth Weight Preterm Infants by a New Neonatal Medical Index

Korner, Anneliese F.; Stevenson, David K.; Kraemer, Helena C.; Spiker, Donna; Scott, David T.; Constantinou, Janet C.; Dimiceli, Sue

doi:10.1097/00004703-199304000-00005

Cited by 100 publications

(66 citation statements)

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“…Infant demographics of the original study group, the 18-month follow-up group, and those who were lost to follow-up are shown in Table 1. The highest Neonatal Medical Index (NMI) 21 score, which represents the greatest severity of illness, was experienced by 45% of the study population. Length of time on mechanical ventilation is the overarching determinant of severity of illness, but additional contributing factors are surgery for patent ductus arteriosus performed on 20% of the subjects, 13% had necrotizing enterocolitis, 45% had at least one episode of sepsis, 9% of the subjects had PVL and 9% had IVH Grade II, III or IV.…”

Section: Resultsmentioning

confidence: 99%

Movement, imaging and neurobehavioral assessment as predictors of cerebral palsy in preterm infants

et al. 2007

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Objective: To study the relative efficacy of three early predictors of cerebral palsy.Method: One Hundred and thirty infants with birth weight <1500 g were recruited. Video recordings of spontaneous general movements were made at 36 and 52 weeks postconceptional age. Magnetic resonance imaging and the neurobehavioral assessment of the preterm infant were done at 36 weeks postconceptional age. Follow-up neurological examination and Bayley assessments were made at 18 months corrected age to make early identification of cerebral palsy.Results: Magnetic resonance imaging gave the best specificity and accuracy of 91 and 84% respectively. General movements at 52 weeks showed an improved specificity and accuracy over performance at 36 weeks postconceptional age. The negative predictive value for all methods tested was between 90 and 97%. Combining the results of magnetic resonance imaging and the neurobehavioral assessment improved the sensitivity of prediction to 80%, suggesting that a holistic approach to early detection of cerebral lesions is preferable to a single test. Conclusions:The majority of infants who appeared to behave within normal limits and exhibit normal brain structure in the newborn period were classified as neurologically intact at follow-up.

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Section: Resultsmentioning

confidence: 99%

Movement, imaging and neurobehavioral assessment as predictors of cerebral palsy in preterm infants

et al. 2007

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“…Morbidity was measured using the Neonatal Medical Index (NMI). 20 The NMI was designed to measure how ill the infants were during the hospital stay rather than representing a complete inventory of all the different complications and symptoms that infants experience. Neonatal Medical Index scores at 32 weeks have been found to be predictive of PCA at full bottle-feeding and discharge.…”

Section: Methodsmentioning

confidence: 99%

Prediction of Feeding Performance in Preterm Infants

Pickler

Best

Reyna

et al. 2005

Newborn and Infant Nursing Reviews

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A nonexperimental study with a sample of 95 preterm infants was used to develop a model of feeding performance outcomes (proficiency, percent of prescribed volume consumed, and efficiency) using feeding readiness indicators (morbidity, maturity, behavior state at feeding start, and feeding experience). All readiness indicators were related to each other. In particular, there was a strong relationship between maturity and feeding experience. Morbidity only had an effect on efficiency; the most ill infants were less efficient feeders. Behavior state affects all feeding outcomes in a linear fashion; more awake and alert infants had better feeding performance outcomes. The effect of experience and maturity on the outcomes is more complex because of the relationship between the two. Experience has a greater effect as the infant matures, and as the infant matures, the amount of experience increases. Successful feeding requires maturity as well as experience.Once physiological stability has been attained, a major challenge for preterm infants is achievement of oral feeding competence. Although breast-feeding may present fewer physiological challenges to the growing preterm infant, 1 , 2 many preterm infants are bottle-fed either formula or expressed breast milk. 3 For the bottle-fed infant, feeding competence is the achievement of total or complete oral feedings. The American Academy of Pediatrics has included competency at nipple-feeding, either breast or bottle, as a criterion for preterm infant readiness for hospital discharge. 4 Achieving competence at this important task takes time, with the transition from gavage to full bottle-feedings reported to last 10 to 14 days. 5 Longer transition to full bottle-feedings has been associated with increased length of hospital stay. 6Assisting the preterm infant achieve bottle-feeding competence is a primary responsibility of the nursing staff. 7 Despite this responsibility, there continues to be a paucity of information available to support nurses in their decision making regarding preterm infant feeding. In particular, although the mechanics of bottle-feeding have been studied extensively, 8 , 9 there is very little research on the predictors of feeding performance.

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“…The environment was assessed with the SES-Composite Index (SESComp) (Aylward et al 1985) or the SES-Composite IndexRevised (SES-Comp-R) (Aylward 1997a), which was completed by a social worker at the first visit to the clinic. The Neonatal Medical Index (Korner et al 1993) was scored from the infant's medical record by a member of the nursing staff to document biologic risk.…”

Section: Methodsmentioning

confidence: 99%

Predictive utility of the Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications: clinical interpretation and application

Aylward

Verhulst

2000

Develop Med Child Neuro

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Predictive validity and clinical implications of the increasingly popular Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications have not been previously reported. In this longitudinal follow‐up study, the BINS was administered to high‐risk infants at 6, 12, and 24 months of age, and the McCarthy Scales at 3 years of age. Ninety‐two children were evaluated at 6 and 36 months, 105 at 12 and 36 months, and 118 at 24 and 36 months; 190, 125, and 140 infants were included in the comparisons at 6 to 12, 6 to 24, and 12 to 24 months. BINS risk status was classified as low, moderate, or high; or as a binary variable, LOWRISK/HIGHRISK. The three BINS items groups were moderately correlated. Consistency was most variable in the moderate‐risk group. BINS risk was predictive of 36‐month function in 18 out of 18 comparisons. Odds ratios, ranging from 2.76 to 54.70, were significant in 15 out of 18 logistic models. An early high‐risk classification was associated with increased probability of later developmental morbidity. The BINS offers an alternative to detailed assessment in high‐volume clinical applications and has good concurrent and predictive validity.

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Prediction of the Development of Low Birth Weight Preterm Infants by a New Neonatal Medical Index

Cited by 100 publications

References 0 publications

Movement, imaging and neurobehavioral assessment as predictors of cerebral palsy in preterm infants

Movement, imaging and neurobehavioral assessment as predictors of cerebral palsy in preterm infants

Prediction of Feeding Performance in Preterm Infants

Predictive utility of the Bayley Infant Neurodevelopmental Screener (BINS) risk status classifications: clinical interpretation and application

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