title: [Risk factors for prognosis of neonatal necrotizing enterocolitis: an analysis of 82 cases].
abstract: OBJECTIVE
  To study the risk factors for prognosis of neonatal necrotizing enterocolitis (NEC).
  
  
  METHODS
  A retrospective analysis was performed on the clinical data of 82 neonates with NEC confirmed between January 2008 and October 2012. The possible prognostic factors in NEC were investigated by logistic regression analysis.
  
  
  RESULTS
  In the 82 cases of NEC, the cure rate decreased with the aggravation of condition (P<0.05). The preterm infants had a significantly higher incidence of NEC than the full-term infants at three or more weeks after birth (P=0.004). The univariate analysis showed that the prognosis of NEC was related to the factors such as sepsis, congenital heart disease, scleredema, peritonitis, metabolic acidosis, hyponatremia, leukocyte disorder, thrombocytopenia, elevated C-reactive protein, and severe abdominal X-ray abnormalities (P<0.05), and the further logistic regression analysis revealed that congenital heart disease, scleredema, and metabolic acidosis were main risk factors for the clinical outcome of NEC (P<0.05).
  
  
  CONCLUSIONS
  The onset time of NEC is correlated with gestational age in neonates. There are multiple prognostic factors in NEC; special attention should be paid to the patients with congenital heart disease, scleredema, and metabolic acidosis so that early intervention is performed to reduce mortality.
authors.affiliation: Department of Neonatology, Children's Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215000, China. sunyu628@126.com.
authors.forename: Lun
authors.initials: L
authors.lastname: Yu
authors.forename: Bin
authors.initials: B
authors.lastname: Sun
authors.forename: Po
authors.initials: P
authors.lastname: Miao
authors.forename: Xing
authors.initials: X
authors.lastname: Feng
mesh_terms: D020345:Enterocolitis, Necrotizing / Q000401:mortality* / Q000628:therapy; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D011379:Prognosis; D012189:Retrospective Studies; D012307:Risk Factors