{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T04:45:59Z","timestamp":1789447559200,"version":"build-2803163510"},"reference-count":23,"publisher":"American Academy of Pediatrics (AAP)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,11,1]]},"abstract":"<jats:sec>\n                  <jats:title>OBJECTIVE:<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>METHODS:<\/jats:title>\n                  <jats:p>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\u20132005 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>RESULTS:<\/jats:title>\n                  <jats:p>A total of 3787 infants were evaluated (mean \u00b1 SD birth weight: 787 \u00b1 136 g; gestational age: 26 \u00b1 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%\u201342%) were moderately accurate. Predictors for the primary outcome by regression were shunt surgery for hydrocephalus, hospital stay of &amp;gt;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 &amp;gt;120 days for pulmonary reasons had a 66% rehospitalization rate compared with 42% without such a stay.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>CONCLUSIONS:<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1542\/peds.2011-1142","type":"journal-article","created":{"date-parts":[[2011,10,18]],"date-time":"2011-10-18T02:57:23Z","timestamp":1318906643000},"page":"e1216-e1225","source":"Crossref","is-referenced-by-count":67,"title":["Identification of Extremely Premature Infants at High Risk of Rehospitalization"],"prefix":"10.1542","volume":"128","author":[{"given":"Namasivayam","family":"Ambalavanan","sequence":"first","affiliation":[{"name":"Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waldemar A.","family":"Carlo","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott A.","family":"McDonald","sequence":"additional","affiliation":[{"name":"RTI International, Research Triangle Park, North Carolina;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Yao","sequence":"additional","affiliation":[{"name":"RTI International, Research Triangle Park, North Carolina;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abhik","family":"Das","sequence":"additional","affiliation":[{"name":"RTI International, Rockville, Maryland; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosemary D.","family":"Higgins","sequence":"additional","affiliation":[{"name":"NICHD Neonatal Research Network, National Institutes of Health, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"for the Generic Database and Follow-up Subcommittees of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"417","published-online":{"date-parts":[[2011,11,1]]},"reference":[{"issue":"5","key":"2021120900313839000_B1","first-page":"375","article-title":"Association between the severity of chronic lung disease and first-year outcomes of very low birth weight infants","volume":"17","author":"deRegnier","year":"1997","journal-title":"J 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