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Dowling J, Arscott-Mills T, Bayani O, Boustany M, Moorad B, Richard-Greenblatt M, Tlhako N, Zalot M, Steenhoff AP, Gezmu AM, Nakstad B, Strysko J, Coffin SE, McGann C. Antibiotic Use for Sepsis in Hospitalized Neonates in Botswana: Factors Associated with Guideline-Divergent Prescribing. Microorganisms 2023; 11:2641. [PMID: 38004653 PMCID: PMC10673292 DOI: 10.3390/microorganisms11112641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
In low- and middle-income countries, where antimicrobial access may be erratic and neonatal sepsis pathogens are frequently multidrug-resistant, empiric antibiotic prescribing practices may diverge from the World Health Organization (WHO) guidelines. This study examined antibiotic prescribing for neonatal sepsis at a tertiary referral hospital neonatal unit in Gaborone, Botswana, using data from a prospective cohort of 467 neonates. We reviewed antibiotic prescriptions for the first episode of suspected sepsis, categorized as early-onset (EOS, days 0-3) or late-onset (LOS, >3 days). The WHO prescribing guidelines were used to determine whether antibiotics were "guideline-synchronous" or "guideline-divergent". Logistic regression models examined independent associations between the time of neonatal sepsis onset and estimated gestational age (EGA) with guideline-divergent antibiotic use. The majority (325/470, 69%) were prescribed one or more antibiotics, and 31 (10%) received guideline-divergent antibiotics. Risk factors for guideline-divergent prescribing included neonates with LOS, compared to EOS (aOR [95% CI]: 4.89 (1.81, 12.57)). Prematurity was a risk factor for guideline-divergent prescribing. Every 1-week decrease in EGA resulted in 11% increased odds of guideline-divergent antibiotics (OR [95% CI]: 0.89 (0.81, 0.97)). Premature infants with LOS had higher odds of guideline-divergent prescribing. Studies are needed to define the causes of this differential rate of guideline-divergent prescribing to guide future interventions.
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Affiliation(s)
- Jameson Dowling
- College of Public Health, Temple University, Philadelphia, PA 19122, USA;
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA (S.E.C.)
| | - Tonya Arscott-Mills
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, NC 27101, USA
| | - One Bayani
- Faculties of Medicine & Health Sciences, Department of Paediatric & Adolescent Health, University of Botswana, Gaborone P.O. Box 00701, Botswana
| | - Mickael Boustany
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA (S.E.C.)
| | - Banno Moorad
- Botswana-UPenn Partnership, University of Pennsylvania & University of Botswana, Gaborone P.O. Box 45498, Botswana
| | - Melissa Richard-Greenblatt
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S 1A1, Canada
- Public Health Ontario, Toronto, ON M5G 1M1, Canada
| | - Nametso Tlhako
- Botswana-UPenn Partnership, University of Pennsylvania & University of Botswana, Gaborone P.O. Box 45498, Botswana
| | - Morgan Zalot
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA (S.E.C.)
| | - Andrew P. Steenhoff
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA (S.E.C.)
- Botswana-UPenn Partnership, University of Pennsylvania & University of Botswana, Gaborone P.O. Box 45498, Botswana
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alemayehu M. Gezmu
- Faculties of Medicine & Health Sciences, Department of Paediatric & Adolescent Health, University of Botswana, Gaborone P.O. Box 00701, Botswana
| | - Britt Nakstad
- Faculties of Medicine & Health Sciences, Department of Paediatric & Adolescent Health, University of Botswana, Gaborone P.O. Box 00701, Botswana
| | - Jonathan Strysko
- Botswana-UPenn Partnership, University of Pennsylvania & University of Botswana, Gaborone P.O. Box 45498, Botswana
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Susan E. Coffin
- Division of Infectious Diseases, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA (S.E.C.)
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Carolyn McGann
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, PA 19104, USA
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Gansaonré RJ, Moore L, Kobiané JF, Sié A, Haddad S. Birthweight, gestational age, and early school trajectory. BMC Public Health 2023; 23:1032. [PMID: 37259123 DOI: 10.1186/s12889-023-15913-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/17/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Birthweight and gestational age are important factors of not only newborn health by also child development and can contribute to delayed cognitive abilities. However, no study has analyzed the association of birthweight and gestational age with school trajectory measured simultaneously by school entry, grade repetition, and school dropout. This study aims, first, to analyze the association of birthweight or gestational age with school entry, and second, to explore the relationship between birthweight or gestational age and grade repetition and school dropout among children in Ouagadougou, Burkina Faso. METHODS This study used longitudinal data from the Ouagadougou Health and Demographic Surveillance System. Our samples consisted of children born between 2008 and 2014 who were at least three years old at the beginning of the 2017-18 school year. Samples included 13,676, 3152, and 3498 children for the analysis of the school entry, grade repetition, and dropout, respectively. A discrete-time survival model was used to examine the relationship between birthweight or gestational age and school entry, grade repetition, and dropout. The association between birthweight or gestational age and age at school entry were assessed using a Poisson regression. RESULTS The incidence rate of school entry was 18.1 per 100 people-years. The incidence of first repetition and dropout were 12.6 and 5.9, respectively. The probability of school entry decreased by 31% (HR:0.69, 95%CI: 0.56-0.85) and 8% (HR:0.92, 95%CI: 0.85-0.99) for children weighing less than 2000 g and those weighing between 2000 and 2499 g, respectively, compared to those born with a normal weight (weight ≥ 2500 g). The age at school entry of children with a birthweight less than 2000 g and between 2000 and 2499 g was 7% (IRR: 1.07, 95%CI: 1.06-1.08) and 3% (IRR: 1.03, 95%CI: 1.00-1.06) higher than children born at a normal birthweight, respectively. Gestational age was not associated with school entry or age at school entry. Similarly, birthweight and gestational age were not associated with grade repetition or dropout. CONCLUSION This study shows that low birthweight is negatively associated with school entry and age at school entry in Ouagadougou. Efforts to avoid low birthweights should be part of maternal and prenatal health care because the associated difficulties may be difficult to overcome later in the child's life. Further longitudinal studies are needed to better understand the relationship between development at birth and school trajectory.
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Affiliation(s)
- Rabi Joël Gansaonré
- Département de Médecine Sociale et Préventive, Faculté de Médecine, Université Laval, Québec, QC, Canada.
- VITAM - Centre de Recherche en Santé Durable de l'Université Laval, Québec, QC, Canada.
| | - Lynne Moore
- Département de Médecine Sociale et Préventive, Faculté de Médecine, Université Laval, Québec, QC, Canada
- Axe Santé des Populations et Pratiques Optimales en Santé, Traumatologie-Urgence-Soins intensifs, Centre de Recherche du CHU de Québec - Université Laval (Hôpital de l'Enfant- Jésus), Université Laval, Québec, QC, Canada
| | - Jean-François Kobiané
- Institut Supérieur des Sciences de la Population, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso
| | - Ali Sié
- Centre de Recherche en Santé de Nouna, Nouna, Burkina Faso
| | - Slim Haddad
- Direction de la Santé Publique, Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale, Québec, QC, Canada
- VITAM - Centre de Recherche en Santé Durable de l'Université Laval, Québec, QC, Canada
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Whelan R, Schaeffer L, Olson I, Folger LV, Alam S, Ajaz N, Ladhani K, Rosner B, Wylie BJ, Lee ACC. Measurement of symphysis fundal height for gestational age estimation in low-to-middle-income countries: A systematic review and meta-analysis. PLoS One 2022; 17:e0272718. [PMID: 36007078 PMCID: PMC9409500 DOI: 10.1371/journal.pone.0272718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 07/25/2022] [Indexed: 11/19/2022] Open
Abstract
In low- and middle-income countries (LMIC), measurement of symphysis fundal height (SFH) is often the only available method of estimating gestational age (GA) in pregnancy. This systematic review aims to summarize methods of SFH measurement and assess the accuracy of SFH for the purpose of GA estimation. We searched PubMed, EMBASE, Cochrane, Web of Science, POPLINE, and WHO Global Health Libraries from January 1980 through November 2021. For SFH accuracy, we pooled the variance of the mean difference between GA confirmed by ultrasound versus SFH. Of 1,003 studies identified, 37 studies were included. Nineteen different SFH measurement techniques and 13 SFH-to-GA conversion methods were identified. In pooled analysis of five studies (n = 5838 pregnancies), 71% (95% CI: 66-77%) of pregnancies dated by SFH were within ±14 days of ultrasound confirmed dating. Using the 1 cm SFH = 1wk assumption, SFH underestimated GA compared with ultrasound-confirmed GA (mean bias: -14.0 days) with poor accuracy (95% limits of agreement [LOA]: ±42.8 days; n = 3 studies, 2447 pregnancies). Statistical modeling of three serial SFH measurements performed better, but accuracy was still poor (95% LOA ±33 days; n = 4 studies, 4391 pregnancies). In conclusion, there is wide variation in SFH measurement and SFH-to-GA conversion techniques. SFH is inaccurate for estimating GA and should not be used for GA dating. Increasing access to quality ultrasonography early in pregnancy should be prioritized to improve gestational age assessment in LMIC.
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Affiliation(s)
- Rachel Whelan
- Global Advancement of Infants and Mothers (AIM) Lab, Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Lauren Schaeffer
- Global Advancement of Infants and Mothers (AIM) Lab, Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Ingrid Olson
- Global Advancement of Infants and Mothers (AIM) Lab, Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Lian V. Folger
- Global Advancement of Infants and Mothers (AIM) Lab, Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
- Department of Maternal and Child Health, University of North Carolina Chapel, Hill Gillings School of Global Public Health, Chapel Hill, NC, United States of America
| | - Saima Alam
- Berkshire Medical Center, Pittsfield, MA, United States of America
| | - Nayab Ajaz
- Tufts University School of Medicine, Boston, MA, United States of America
| | - Karima Ladhani
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Bernard Rosner
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Blair J. Wylie
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Anne C. C. Lee
- Global Advancement of Infants and Mothers (AIM) Lab, Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
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