4.7 Article

Identification of Extremely Premature Infants at High Risk of Rehospitalization

Journal

PEDIATRICS
Volume 128, Issue 5, Pages E1216-E1225

Publisher

AMER ACAD PEDIATRICS
DOI: 10.1542/peds.2011-1142

Keywords

logistic models; infant; premature; predictive value of tests

Categories

Funding

  1. National Institutes of Health (NIH)
  2. NICHD
  3. Department of Health and Human Services [U10 HD21364, U10 HD21385, U10 HD40689, U10 HD27871, U10 HD21373, U10 HD36790, U10 HD40498, U10 HD40461, U10 HD34216, U10 HD21397, U10 HD27904, U10 HD40492, U10 HD27856, U10 HD40521, U10 HD27853, U10 HD27880, U10 HD27851, R03 HD054420]
  4. National Institutes of Health [M01 RR30, M01 RR32, M01 RR39, M01 RR44, M01 RR70, M01 RR80, M01 RR125, M01 RR750, M01 RR633, M01 RR6022, M01 RR7122, M01 RR8084, M01 RR16587, KL2 RR24149, UL1 RR24139, UL1 RR24148, UL1 RR24160]
  5. University of Cincinnati [20012006]
  6. Alpert Medical School of Brown University and Women & Infants Hospital of Rhode Island [U10 HD27904]
  7. Rainbow Babies & Children's Hospital [U10 HD21364, M01 RR80]
  8. Cincinnati Children's Hospital Medical Center, University Hospital
  9. Good Samaritan Hospital [U10 HD27853, M01 RR8084]

Ask authors/readers for more resources

OBJECTIVE: Extremely low birth weight infants often require rehospitalization during infancy. Our objective was to identify at the time of discharge which extremely low birth weight infants are at higher risk for rehospitalization. METHODS: Data from extremely low birth weight infants in Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network centers from 2002-2005 were analyzed. The primary outcome was rehospitalization by the 18- to 22-month follow-up, and secondary outcome was rehospitalization for respiratory causes in the first year. Using variables and odds ratios identified by stepwise logistic regression, scoring systems were developed with scores proportional to odds ratios. Classification and regression-tree analysis was performed by recursive partitioning and automatic selection of optimal cutoff points of variables. RESULTS: A total of 3787 infants were evaluated (mean +/- SD birth weight: 787 +/- 136 g; gestational age: 26 +/- 2 weeks; 48% male, 42% black). Forty-five percent of the infants were rehospitalized by 18 to 22 months; 14.7% were rehospitalized for respiratory causes in the first year. Both regression models (area under the curve: 0.63) and classification and regression-tree models (mean misclassification rate: 40%-42%) were moderately accurate. Predictors for the primary outcome by regression were shunt surgery for hydrocephalus, hospital stay of > 120 days for pulmonary reasons, necrotizing enterocolitis stage II or higher or spontaneous gastrointestinal perforation, higher fraction of inspired oxygen at 36 weeks, and male gender. By classification and regression-tree analysis, infants with hospital stays of > 120 days for pulmonary reasons had a 66% rehospitalization rate compared with 42% without such a stay. CONCLUSIONS: The scoring systems and classification and regression-tree analysis models identified infants at higher risk of rehospitalization and might assist planning for care after discharge. Pediatrics 2011; 128: e1216-e1225

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available