Ventilatory support and predictors of hospital stay in neonates

Shiao, Shyang Yun Pamela K.; Andrews, Claire M.; Ahn, Chul

doi:10.1053/s1527-3369(03)00079-5

Cited by 5 publications

(6 citation statements)

References 39 publications

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“…We also reported that the lower the weight of a neonate, the longer the NICU stay and the greater the number of days on oxygen, ventilator, and central line (Shiao et al, 2003). The risk of NICU admission and ventilatory support for preterm infants decreased gradually from 28 weeks gestation to a low point at 34 to 36 weeks gestation (Jones, Istwan, Jacques, Coleman, & Stanziano, 2002;Shiao et al, 2002Shiao et al, , 2003. Prolonging birth to 35 weeks gestation improved neonatal outcomes, reduced health care needs, and decreased associated health care costs (Jones et al, 2002).…”

Section: Gestational Age and Birthmentioning

confidence: 86%

“…In an earlier study, we found that endotracheal intubation of newborn infants was associated with lower gestational age (Shiao et al, 2002). We also reported that the lower the weight of a neonate, the longer the NICU stay and the greater the number of days on oxygen, ventilator, and central line (Shiao et al, 2003). The risk of NICU admission and ventilatory support for preterm infants decreased gradually from 28 weeks gestation to a low point at 34 to 36 weeks gestation (Jones, Istwan, Jacques, Coleman, & Stanziano, 2002;Shiao et al, 2002Shiao et al, , 2003.…”

Section: Gestational Age and Birthmentioning

confidence: 89%

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Maternal Race/Ethnicity and Predictors of Pregnancy and Infant Outcomes

Shiao

Andrews

Helmreich

2005

Biological Research For Nursing

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Section: Gestational Age and Birthmentioning

confidence: 86%

Section: Gestational Age and Birthmentioning

confidence: 89%

Maternal Race/Ethnicity and Predictors of Pregnancy and Infant Outcomes

Shiao

Andrews

Helmreich

2005

Biological Research For Nursing

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“…11 Four weeks of support itself poses a strain on unit resource utilization. 5 In India, this emotionally and financially drains the family.…”

Section: Discussionmentioning

confidence: 99%

“…Concurrently, need for prolonged respiratory supports would in turn influence length of stay and expenses to the family. 5,6 Being able to envisage these possible outcomes may aid in parent counseling and help the clinical team plan resources as well. We hypothesized that composite outcomes of death or continued need for respiratory supports at 4 weeks postnatal age (RS4), may be predicted by perinatal factors and clinical status in the first 3 days of life itself.…”

Section: Introductionmentioning

confidence: 99%

Can Early Clinical Status Predict Outcomes in Extremely Low Birth Weight Neonates?

Venkata

Nandakumar

et al. 2020

Journal of Child Science

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Background Extremely low birth weight (ELBW) neonates are the sickest patrons of neonatal intensive care. Authors have attempted to predict outcomes based on perinatal factors very soon after birth. Allowing a longer duration for clinical assessment may permit meaningful assessments. Postponing these predictions to several weeks does not offer succour. Methods We retrospectively studied association of predefined perinatal factors and clinical status of 53 ELBW infants in the first 72 hours of life; with death or continued need for respiratory support at 4 weeks of life separately (RS4). Results Mean and standard deviations of birth weight and gestational age were 781.8 (±130.7) g (range: 510–990 g) and 26.4 (±1.5) weeks (range: 24–30 weeks), respectively; 32.9% were < 750 g at birth. Of the 53 neonates, 20.7% babies expired and 47.1% required RS4 (66% neonates suffered composite outcome of death/RS4). Need for > 0.3 fraction of inspired oxygen (FiO2) beyond 72 hours of life demonstrated strong association with death/RS4 (odds ratio [OR] 14.3; 95% confidence interval [CI] 3.2–63.0). Need for chest compression (OR 15.3; 95% CI 1.4–167.2) and shock (OR 14.2; 95% CI 2.7–72.8) were significantly associated with mortality. Conclusion FiO2 requirement of > 0.3 at 72 hours reasonably predicts death or dependence on respiratory supports at 4 weeks of life.

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“…Four significant confounding variables were identified for the study outcomes, by reviewing the literature and by the results of an observational study [20][21][22]. These variables included race (white or other), delivery by cesarean (C-) section (yes or no), gestational age in weeks (≤28 weeks or > 28 weeks), and multiple-birth status (singleton or twins).…”

Section: Random Allocationmentioning

confidence: 99%

Second-order interactions with the treatment groups in controlled clinical trials

Shiao

Ahn

Akazawa

2007

Computer Methods and Programs in Biomedicine

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SummaryThe occurrence of significant second-order interactions for group characteristics was examined using real data in a randomized controlled trial (RCT). The interactions exist in all RCTs; they could be easily overlooked when using the simple randomization or stratification methods, but could become more obvious when minimization methods are used. Using real data from an RCT, the minimization method enabled balancing the distributions of the four selected stratified factors. Analyses for 3-way second-order interactions including 6 additional potential confounding variables (for a total of 10 variables) presented 8 significant second-order interactions with the treatment groups. Interaction effects need to be evaluated when treatment effects are examined to maximize the power of the treatment effects in any RCTs. A stepwise regression method with piecewise linear functions would be useful to select the significant variables with interaction effects affecting the treatment outcomes in RCTs. Additional ways to handle interaction effects in RCTs are presented in this paper.

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Ventilatory support and predictors of hospital stay in neonates

Cited by 5 publications

References 39 publications

Maternal Race/Ethnicity and Predictors of Pregnancy and Infant Outcomes

Maternal Race/Ethnicity and Predictors of Pregnancy and Infant Outcomes

Can Early Clinical Status Predict Outcomes in Extremely Low Birth Weight Neonates?

Second-order interactions with the treatment groups in controlled clinical trials

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