OBJECTIVES: To investigate variation among neonatal intensive care units (NICUs) in prevalence and management of thrombocytopenia in infants and(SNAP). Platelet counts in the first 12 hours after birth and on day 3 of life were abstracted from the infants' medical records. Thrombocytopenia was determined from the lowest platelet count in each of these time periods. RESULTS: There was variability in rates of thrombocytopenia among NICUs, even after controlling for risk factors (e.g., SNAP, small for gestational (SGA) age and maternal hypertension). One site had a high prevalence of thrombocytopenia, but the lowest percentage of infants with thrombocytopenia who received platelet transfusions. After controlling for SNAP, GA, SGA, Apgar score and incidence of thrombocytopenia, the odds of receiving platelets at this site, relative to the site with the highest transfusion rate, was 0.10 (95% CI 0.02 to 0.43). CONCLUSIONS: This multicenter study finds a 10-fold variation among NICU in the administration of platelets to their thrombocytopenic infants that cannot be explained by presence of thrombocytopenia or illness severity.

OBJECTIVES: This multisite study sought to identify (1) any differences in admission risk (defined by gestational age and illness severity) among neonatal intensive care units (NICUs) and (2) obstetric antecedents of newborn illness severity. METHODS: Data on 1476 babies born at a gestational age of less than 32 weeks in 6 perinatal centers were abstracted prospectively. Newborn illness severity was measured with the Score for Neonatal Acute Physiology. Regression models were constructed to predict scores as a function of perinatal risk factors. RESULTS: The sites differed by several obstetric case-mix characteristics. Of these, only gestational age, small for gestational age. White race, and severe congenital anomalies were associated with higher scores. Antenatal corticosteroids, low Apgar scores, and neonatal hypothermia also affected illness severity. At 2 sites, higher mean severity could not be explained by case mix. CONCLUSIONS: Obstetric events and perinatal practices affect newborn illness severity. These risk factors differ among perinatal centers and are associated with elevated illness severity at some sites. Outcomes of NICU care may be affected by antecedent events and perinatal practices.

OBJECTIVES: Very low birth weight (< 1500 g) infants frequently require packed red blood cell transfusions, and transfusion rates vary among neonatal intensive care units (NICUs). We analyzed transfusions and compared outcomes among NICUs. STUDY DESIGN: In a 6-site prospective study, we abstracted all newborns weighing < 1500 g (total = 825) born between October 1994 and September 1995. Transfusion frequency and volume and phlebotomy number were analyzed by site and adjusted for birth weight and illness severity. We compared rates of intraventricular hemorrhage, necrotizing enterocolitis, bronchopulmonary dysplasia, growth, and length of stay between the high and low transfuser NICUs. RESULTS: Sites differed significantly in mean birth weight, illness severity, number of transfusions, pretransfusion hematocrit, blood draws, and donor number. Multivariate adjustment for these risks showed that the highest transfusing NICU transfused an additional 24 cc/kg per baby during the first 14 days and 47 cc/kg per baby after 15 days, relative to the lowest transfusing NICU. The presence of arterial catheters increased the frequency of blood transfusions. The rates of intraventricular hemorrhage, necrotizing enterocolitis, and bronchopulmonary dysplasia were not higher in the 2 lowest transfusing NICUs, nor were there differences in 28-day weight gain or length of stay. CONCLUSIONS: Major differences in transfusion practices for very low birth weight infants exist among NICUs. Because clinical outcomes were no different in lower transfuser NICUs, it is likely that transfusion and phlebotomy guidelines could result in fewer transfusions, fewer complications, and reduced cost.

OBJECTIVES: To compare rates of narcotic administration for medically treated neonates in different neonatal intensive care units (NICUs) and to compare treated and untreated neonates to assess whether narcotics provided advantages or disadvantages for short-term outcomes, such as cardiovascular stability (ie, blood pressure and heart rate), hyperbilirubinemia, duration of respiratory support, growth, and the incidence of intraventricular hemorrhage. STUDY DESIGN: The medical charts of neonates weighing less than 1500 g, admitted to 6 NICUs (A-F), were abstracted. Neonates who had a chest tube or who had undergone surgery were excluded from the study, leaving the records of 1171 neonates. We modeled outcomes by linear or logistic regression, controlling for birth weight ( or =20) using the Score for Neonatal Acute Physiology (SNAP), and adjusted for NICU. RESULTS: Narcotic use varied by birth weight (g, 21%; 750-999 g, 13%; and 1000-1499 g, 8%), illness severity (low, 9%; medium, 19%; and high, 37%), day (1, 11%; 3, 6%; and 14, 2%), and NICU. We restricted analyses to the 1018 neonates who received mechanical ventilation on day 1. Logistic regression, adjusting for birth weight and SNAP, confirmed a 28.6-fold variation in narcotic administration (odds ratios, 4.1-28.6 vs NICU A). Several short-term outcomes also were associated with narcotic use, including more than 33 g of fluid retention on day 3 and a higher direct bilirubin level (6.8 micromol/L higher [0.4 mg/dL higher], P = .03). There were no differences in weight gain at 14 and 28 days or mechanical ventilatory support on days 14 and 28. Narcotic use was not associated with differences in worst blood pressure or heart rate or with increased length of hospital stay. CONCLUSIONS: Our study found a 28.6-fold variation among NICUs in narcotic administration in very low-birth-weight neonates. We were unable to detect any major advantages or disadvantages of narcotic use. We did not assess iatrogenic abstinence syndrome or long-term outcomes. These results indicate the need for randomized trials to rationalize these widely differing practices.