5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Neonatal Outcomes of Infants Admitted to a Large Government Hospital in Amman, Jordan

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective:

          To describe characteristics and outcomes of Jordanian newborns admitted to a large governmental neonatal intensive care unit (NICU).

          Methods:

          Newborns born at the government hospital, Al Bashir, in Amman, Jordan were prospectively enrolled. The study focused on newborns admitted to the NICU and a retrospective chart review was performed. Abstraction included in-hospital mortality, antibiotic days, ventilation, oxygen use, and CRP levels. Rank sum and chi-squared tests were used to compare across outcomes. Logistic regression of hypothesized risk factors with death adjusted for gestational age.

          Results:

          Of the 5,466 neonates enrolled from 2/10-2/11, medical records were available for 321/378(84.9%) infants admitted to the NICU. The median gestational age was 36 weeks, median birth weight was 2.3 kg, and 28(8.7%) infants died. The two most common reasons for admission and mortality were respiratory distress syndrome and prematurity. Low Apgar scores and positive CRP were predictors of mortality. Risk factors associated with increased use of antibiotics, oxygen hood, and mechanical ventilation included lower gestational age and prematurity.

          Conclusion:

          Infants admitted to the Jordanian NICU have significantly higher median gestational age and birth weights than in developed countries and were associated with significant morbidity and mortality. Continuations of global efforts to prevent prematurity are needed.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: found
          • Article: not found

          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Estimating the causes of 4 million neonatal deaths in the year 2000.

            Information on cause-of-death is lacking for 98% of the world's 4 million neonatal deaths that occur in countries with inadequate vital registration (VR). Our aim was to estimate, by country for the year 2000, the distribution of neonatal deaths across programme-relevant causes including: asphyxia, preterm birth, congenital abnormalities, sepsis/pneumonia, neonatal tetanus, diarrhoea, and 'other'. Two sources of neonatal cause-of-death data were examined: VR datasets for countries with high coverage (>90%), and published and unpublished studies identified through systematic searches. Multinomial regression was used to model the distribution of neonatal deaths. A VR-based model was used to estimate the distribution of causes of death for 37 low-mortality countries without national data. A study-based model was applied to obtain estimates for 111 high-mortality countries. Uncertainty estimates were derived using the jackknife approach. Data from 44 countries with VR (96 797 neonatal deaths) and from 56 studies (29 countries, 13 685 neonatal deaths) met inclusion criteria. The distribution of reported causes of death varied substantially between countries and across studies. Based on 193 countries, the major causes of neonatal death globally were estimated to be infections (sepsis/pneumonia, tetanus, and diarrhoea, 35%), preterm birth (28%), and asphyxia (23%). Regional variation is important. Substantial uncertainty surrounds these estimates. This exercise highlights the lack of reliable cause-of-death data in the settings in which most neonatal deaths occur. Complex statistical models are not a panacea. Representative data with comparable case definitions and consistent hierarchical cause-of-death attribution are required.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Persistence of morbidity and cost differences between late-preterm and term infants during the first year of life.

              Late-preterm infants are known to have greater morbidity and costs compared with term infants during the neonatal period, but less is known about whether these differences continue beyond this period. The purpose of this study was to examine the most common causes and costs of rehospitalization and other health care use among late-preterm and term infants throughout the first year of life. We conducted a retrospective cohort study of late-preterm (33-36 weeks' gestation) and term infants born in 2004 with > or =1 year of enrollment in a large national US database of commercially insured members. All of the reported health care services and costs were examined from the birth hospitalization through the first year of life. We evaluated 1683 late-preterm and 33 745 term infants. The average length of stay of the birth hospitalization for term infants was 2.2 days, and the average cost was $2061. Late-preterm infants had a substantially longer average stay of 8.8 days and average cost of $26 054. Total first-year costs after birth discharge were, on average, 3 times as high among late-preterm infants ($12 247) compared with term infants ($4069). Late-preterm infants were rehospitalized more often than term infants (15.2% vs 7.9%). A subset of late-preterm infants that were discharged late from their birth hospitalization had the highest rates of rehospitalization and total health care costs. Higher costs during rehospitalization of late-preterm infants, especially those with a late discharge, indicate their propensity to have more severe illness. Late-preterm infants have greater morbidity and total health care costs than term infants, and these differences persist throughout the first year of life. Management strategies and guidelines to reduce morbidity and costs in late-preterm infants should be investigated.
                Bookmark

                Author and article information

                Journal
                Glob J Health Sci
                Glob J Health Sci
                Global Journal of Health Science
                Canadian Center of Science and Education (Canada )
                1916-9736
                1916-9744
                July 2015
                14 January 2015
                : 7
                : 4
                : 217-234
                Affiliations
                [1 ]Vanderbilt University School of Medicine, Nashville, TN, USA
                [2 ]Vanderbilt Institute for Global Health, 2525 West End Avenue Suite 750, Nashville, TN, 37203, USA
                [3 ]Departments of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA
                [4 ]Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA
                [5 ]Pediatrics, Al-Bashir Government Hospital, Amman, Jordan
                [6 ]Pediatrics, Division of Infectious Diseases, Jordan University Hospital, Jordan
                Author notes
                Correspondence: Priya G. Sivasubramaniam, Vanderbilt University School of Medicine, Nashville, TN, USA. E-mail: priya.g.sivasubramaniam@ 123456Vanderbilt.Edu ; Natasha Halasa, 1161 21st Ave South MCN D7232 Nashville, TN 37232, USA. Tel: 1-613-947-3592. E-mail: natasha.halasa@ 123456vanderbilt.edu
                Article
                GJHS-7-217
                10.5539/gjhs.v7n4p217
                4802098
                25946927
                3872d48e-119b-4627-945d-df06937ee31b
                Copyright: © Canadian Center of Science and Education

                This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 14 October 2014
                : 17 December 2014
                Categories
                Articles

                jordan,middle east,mortality,neonatal intensive care unit (nicu),outcomes,prematurity

                Comments

                Comment on this article