Browsing by Author "Eggleston, Barry"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Initial Laparotomy Versus Peritoneal Drainage in Extremely Low Birthweight Infants With Surgical Necrotizing Enterocolitis or Isolated Intestinal Perforation: A Multicenter Randomized Clinical Trial
    (Wolters Kluwer, 2021) Blakely, Martin L.; Tyson, Jon E.; Lally, Kevin P.; Hintz, Susan R.; Eggleston, Barry; Stevenson, David K.; Besner, Gail E.; Das, Abhik; Ohls, Robin K.; Truog, William E.; Nelin, Leif D.; Poindexter, Brenda B.; Pedroza, Claudia; Walsh, Michele C.; Stoll, Barbara J.; Geller, Rachel; Kennedy, Kathleen A.; Dimmitt, Reed A.; Carlo, Waldemar A.; Cotten, C. Michael; Laptook, Abbot R.; Van Meurs, Krisa P.; Calkins, Kara L.; Sokol, Gregory M.; Sanchez, Pablo J.; Wyckoff, Myra H.; Patel, Ravi M.; Frantz, Ivan D., III.; Shankaran, Seetha; D'Angio, Carl T.; Yoder, Bradley A.; Bell, Edward F.; Watterberg, Kristi L.; Martin, Colin A.; Harmon, Carroll M.; Rice, Henry; Kurkchubasche, Arlet G.; Sylvester, Karl; Dunn, James C.Y.; Markel, Troy A.; Diesen, Diana L.; Bhatia, Amina M.; Flake, Alan; Chwals, Walter J.; Brown, Rebeccah; Bass, Kathryn D.; St. Peter, Shawn D.; Shanti, Christina M.; Pegoli, Walter, Jr.; Skarda, David; Shilyansky, Joel; Lemon, David G.; Mosquera, Ricardo A.; Peralta-Carcelen, Myriam; Goldstein, Ricki F.; Vohr, Betty R.; Purdy, Isabell B.; Hines, Abbey C.; Maitre, Nathalie L.; Heyne, Roy J.; DeMauro, Sara B.; McGowan, Elisabeth C.; Yolton, Kimberly; Kilbride, Howard W.; Natarajan, Girija; Yost, Kelley; Winter, Sarah; Colaizy, Tarah T.; Laughon, Matthew M.; Lakshminrusimha, Satyanarayana; Higgins, Rosemary D.; Eunice Kennedy Shriver National Institute of Child Health; Human Development Neonatal Research Network; Pediatrics, School of Medicine
    Objective: The aim of this study was to determine which initial surgical treatment results in the lowest rate of death or neurodevelopmental impairment (NDI) in premature infants with necrotizing enterocolitis (NEC) or isolated intestinal perforation (IP). Summary background data: The impact of initial laparotomy versus peritoneal drainage for NEC or IP on the rate of death or NDI in extremely low birth weight infants is unknown. Methods: We conducted the largest feasible randomized trial in 20 US centers, comparing initial laparotomy versus peritoneal drainage. The primary outcome was a composite of death or NDI at 18 to 22 months corrected age, analyzed using prespecified frequentist and Bayesian approaches. Results: Of 992 eligible infants, 310 were randomized and 96% had primary outcome assessed. Death or NDI occurred in 69% of infants in the laparotomy group versus 70% with drainage [adjusted relative risk (aRR) 1.0; 95% confidence interval (CI): 0.87-1.14]. A preplanned analysis identified an interaction between preoperative diagnosis and treatment group (P = 0.03). With a preoperative diagnosis of NEC, death or NDI occurred in 69% after laparotomy versus 85% with drainage (aRR 0.81; 95% CI: 0.64-1.04). The Bayesian posterior probability that laparotomy was beneficial (risk difference <0) for a preoperative diagnosis of NEC was 97%. For preoperative diagnosis of IP, death or NDI occurred in 69% after laparotomy versus 63% with drainage (aRR, 1.11; 95% CI: 0.95-1.31); Bayesian probability of benefit with laparotomy = 18%. Conclusions: There was no overall difference in death or NDI rates at 18 to 22 months corrected age between initial laparotomy versus drainage. However, the preoperative diagnosis of NEC or IP modified the impact of initial treatment.
  • Thumbnail Image
    Item
    Predictive Modeling for Perinatal Mortality in Resource-Limited Settings
    (American Medical Association, 2020-11-02) Shukla, Vivek V.; Eggleston, Barry; Ambalavanan, Namasivayam; McClure, Elizabeth M.; Mwenechanya, Musaku; Chomba, Elwyn; Bose, Carl; Bauserman, Melissa; Tshefu, Antoinette; Goudar, Shivaprasad S.; Derman, Richard J.; Garcés, Ana; Krebs, Nancy F.; Saleem, Sarah; Goldenberg, Robert L.; Patel, Archana; Hibberd, Patricia L.; Esamai, Fabian; Bucher, Sherri; Liechty, Edward A.; Koso-Thomas, Marion; Carlo, Waldemar A.; Pediatrics, School of Medicine
    Importance: The overwhelming majority of fetal and neonatal deaths occur in low- and middle-income countries. Fetal and neonatal risk assessment tools may be useful to predict the risk of death. Objective: To develop risk prediction models for intrapartum stillbirth and neonatal death. Design, setting, and participants: This cohort study used data from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Global Network for Women's and Children's Health Research population-based vital registry, including clinical sites in South Asia (India and Pakistan), Africa (Democratic Republic of Congo, Zambia, and Kenya), and Latin America (Guatemala). A total of 502 648 pregnancies were prospectively enrolled in the registry. Exposures: Risk factors were added sequentially into the data set in 4 scenarios: (1) prenatal, (2) predelivery, (3) delivery and day 1, and (4) postdelivery through day 2. Main outcomes and measures: Data sets were randomly divided into 10 groups of 3 analysis data sets including training (60%), test (20%), and validation (20%). Conventional and advanced machine learning modeling techniques were applied to assess predictive abilities using area under the curve (AUC) for intrapartum stillbirth and neonatal mortality. Results: All prenatal and predelivery models had predictive accuracy for both intrapartum stillbirth and neonatal mortality with AUC values 0.71 or less. Five of 6 models for neonatal mortality based on delivery/day 1 and postdelivery/day 2 had increased predictive accuracy with AUC values greater than 0.80. Birth weight was the most important predictor for neonatal death in both postdelivery scenarios with independent predictive ability with AUC values of 0.78 and 0.76, respectively. The addition of 4 other top predictors increased AUC to 0.83 and 0.87 for the postdelivery scenarios, respectively. Conclusions and relevance: Models based on prenatal or predelivery data had predictive accuracy for intrapartum stillbirths and neonatal mortality of AUC values 0.71 or less. Models that incorporated delivery data had good predictive accuracy for risk of neonatal mortality. Birth weight was the most important predictor for neonatal mortality.