SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores

The Journal of Pediatrics - Tập 138 - Trang 92-100 - 2001
Douglas K. Richardson1, John D. Corcoran1, Gabriel J. Escobar1, Shoo K. Lee1
1Joint Program in Neonatology (Beth Israel Deaconess Medical Center, Brigham and Women’s Hospital, Children’s Hospital and Harvard Medical School), Harvard School of Public Health, Boston, Massachusetts; University of British Columbia and Centre for Health Evaluation Research, B.C. Research Institute for Children’s and Women’s Health; Perinatal Research Unit, Kaiser Permanente Medical Care Program, Division of Research, Oakland, California; Department of Pediatrics, University of British Columbia, Vancouver; and Centre for Health Evaluation Research, B.C. Research Institute for Children’s and Women’s Health Vancouver, British Columbia, Canada

Tài liệu tham khảo

Richardson, 1993, Score for Neonatal Acute Physiology: a physiologic severity index for neonatal intensive care, Pediatrics, 91, 617, 10.1542/peds.91.3.617 Richardson, 1993, Birth weight and illness severity: independent predictors of neonatal mortality, Pediatrics, 91, 969, 10.1542/peds.91.5.969 Escobar, 1995, Score for neonatal acute physiology: validation in three Kaiser Permanente neonatal intensive care units, Pediatrics, 96, 918, 10.1542/peds.96.5.918 Petridou, 1998, Outcome prediction in Greek neonatal intensive care units using a score for neonatal acute physiology (SNAP), Pediatrics, 101, 1037, 10.1542/peds.101.6.1037 Pollack, 2000, A comparison of neonatal mortality risk prediction models in very low birth weight infants, Pediatrics, 105, 1051, 10.1542/peds.105.5.1051 The International Neonatal Network, 1993, The CRIB (Clinical Risk Index for Babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units, Lancet, 342, 193, 10.1016/0140-6736(93)92296-6 1995, CRIB (Clinical Risk Index for Babies), mortality, and impairment after neonatal intensive care, Lancet, 345, 1020, 10.1016/S0140-6736(95)90758-0 de Courcy-Wheeler, 1995, Use of the CRIB (Clinical Risk Index for Babies) score in prediction of neonatal mortality and morbidity, Arch Dis Child Fetal Neonatal Ed, 73, F32, 10.1136/fn.73.1.F32 Richardson, 1994, Measuring illness severity in newborn intensive care, J Intensive Care Med, 9, 20, 10.1177/088506669400900104 Richardson, 1998, Neonatal risk scoring systems. Can they predict mortality and morbidity?, Clin Perinatol, 25, 591, 10.1016/S0095-5108(18)30099-X Richardson, 1999, Risk adjustment for quality improvement, Pediatrics, 103, 255, 10.1542/peds.103.SE1.255 Pollack, 1997, The Pediatric Risk of Mortality III—Acute Physiology Score (PRISM III-APS): a method of assessing physiologic instability for pediatric intensive care unit patients, J Pediatr, 131, 575, 10.1016/S0022-3476(97)70065-9 Pollack, 1996, PRISM III: an updated Pediatric Risk of Mortality score, Crit Care Med, 24, 743, 10.1097/00003246-199605000-00004 Pollack, 1988, Pediatric risk of mortality (PRISM) score, Crit Care Med, 16, 1110, 10.1097/00003246-198811000-00006 Knaus, 1991, The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults, Chest, 100, 1619, 10.1378/chest.100.6.1619 Le Gall, 1993, A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study, JAMA, 270, 2957, 10.1001/jama.1993.03510240069035 Teres, 1987, Validation of the mortality prediction model for ICU patients, Crit Care Med, 15, 208, 10.1097/00003246-198703000-00005 Hosmer, 1989, Model building strategies and methods for logistic regression, 82 Hosmer, 1989, Assessing the fit of the model, 135 Hanley, 1982, The meaning and use of the area under a receiver operating characteristic (ROC) curve, Radiology, 143, 29, 10.1148/radiology.143.1.7063747 Lemeshow, 1994, Modeling the severity of illness of ICU patients. A systems update, JAMA, 272, 1049, 10.1001/jama.1994.03520130087038 Carmines, 1979 Slagle, 1999, Perinatal information systems for quality improvement: visions for today, Pediatrics, 103, 266, 10.1542/peds.103.SE1.266 Escobar, 1997, Rapid retrieval of neonatal outcomes data: the Kaiser Permanente Neonatal Minimum Data Set, Qual Manag Health Care, 5, 19, 10.1097/00019514-199705040-00003 Richardson, 1999, Perinatal risk and severity of illness in newborns at 6 neonatal intensive care units, Am J Public Health, 89, 511, 10.2105/AJPH.89.4.511 Richardson, 1998, Declining severity adjusted mortality: evidence of improving neonatal intensive care, Pediatrics, 102, 893, 10.1542/peds.102.4.893 Zupancic, 1998, Characterization of the triage process in neonatal intensive care, Pediatrics, 102, 1432, 10.1542/peds.102.6.1432 Thompson, 1997, Mortality risk due to congenital anomalies (CAs) in VLBW infants: a simple scoring system [abstract], Pediatr Res, 41, 211A, 10.1203/00006450-199704001-01273 Richardson, 1998, Neonatal illness severity and new insights into perinatal audit, Acta Paediatr, 87, 134, 10.1111/j.1651-2227.1998.tb00963.x Stevens, 1994, Estimating neonatal mortality risk: an analysis of clinicians’ judgments, Pediatrics, 93, 945, 10.1542/peds.93.6.945