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Global, regional, and national estimates of the impact of a maternal Klebsiella pneumoniae vaccine: A Bayesian modeling analysis
by
Lewnard, Joseph A.
, O'Brien, Seamus
, Walsh, Timothy R.
, Sands, Kirsty
, Hu, Hao
, Kumar, Chirag K.
, Sharland, Mike
, Laxminarayan, Ramanan
, Srikantiah, Padmini
in
Analysis
/ Health aspects
/ Infants
/ Klebsiella infections
/ Maternal-fetal exchange
/ Patient outcomes
/ Pregnant women
/ Prevention
/ Risk factors
/ Sepsis
2023
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Global, regional, and national estimates of the impact of a maternal Klebsiella pneumoniae vaccine: A Bayesian modeling analysis
by
Lewnard, Joseph A.
, O'Brien, Seamus
, Walsh, Timothy R.
, Sands, Kirsty
, Hu, Hao
, Kumar, Chirag K.
, Sharland, Mike
, Laxminarayan, Ramanan
, Srikantiah, Padmini
in
Analysis
/ Health aspects
/ Infants
/ Klebsiella infections
/ Maternal-fetal exchange
/ Patient outcomes
/ Pregnant women
/ Prevention
/ Risk factors
/ Sepsis
2023
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Do you wish to request the book?
Global, regional, and national estimates of the impact of a maternal Klebsiella pneumoniae vaccine: A Bayesian modeling analysis
by
Lewnard, Joseph A.
, O'Brien, Seamus
, Walsh, Timothy R.
, Sands, Kirsty
, Hu, Hao
, Kumar, Chirag K.
, Sharland, Mike
, Laxminarayan, Ramanan
, Srikantiah, Padmini
in
Analysis
/ Health aspects
/ Infants
/ Klebsiella infections
/ Maternal-fetal exchange
/ Patient outcomes
/ Pregnant women
/ Prevention
/ Risk factors
/ Sepsis
2023
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Global, regional, and national estimates of the impact of a maternal Klebsiella pneumoniae vaccine: A Bayesian modeling analysis
Journal Article
Global, regional, and national estimates of the impact of a maternal Klebsiella pneumoniae vaccine: A Bayesian modeling analysis
2023
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Overview
Despite significant global progress in reducing neonatal mortality, bacterial sepsis remains a major cause of neonatal deaths. Klebsiella pneumoniae (K. pneumoniae) is the leading pathogen globally underlying cases of neonatal sepsis and is frequently resistant to antibiotic treatment regimens recommended by the World Health Organization (WHO), including first-line therapy with ampicillin and gentamicin, second-line therapy with amikacin and ceftazidime, and meropenem. Maternal vaccination to prevent neonatal infection could reduce the burden of K. pneumoniae neonatal sepsis in low- and middle-income countries (LMICs), but the potential impact of vaccination remains poorly quantified. We estimated the potential impact of such vaccination on cases and deaths of K. pneumoniae neonatal sepsis and project the global effects of routine immunization of pregnant women with the K. pneumoniae vaccine as antimicrobial resistance (AMR) increases. We developed a Bayesian mixture-modeling framework to estimate the effects of a hypothetical K. pneumoniae maternal vaccine with 70% efficacy administered with coverage equivalent to that of the maternal tetanus vaccine on neonatal sepsis infections and mortality. To parameterize our model, we used data from 3 global studies of neonatal sepsis and/or mortality-with 2,330 neonates who died with sepsis surveilled from 2016 to 2020 undertaken in 18 mainly LMICs across all WHO regions (Ethiopia, Kenya, Mali, Mozambique, Nigeria, Rwanda, Sierra Leone, South Africa, Uganda, Brazil, Italy, Greece, Pakistan, Bangladesh, India, Thailand, China, and Vietnam). Within these studies, 26.95% of fatal neonatal sepsis cases were culture-positive for K. pneumoniae. We analyzed 9,070 K. pneumoniae genomes from human isolates gathered globally from 2001 to 2020 to quantify the temporal rate of acquisition of AMR genes in K. pneumoniae isolates to predict the future number of drug-resistant cases and deaths that could be averted by vaccination. A K. pneumoniae maternal vaccine could have widespread, sustained global benefits as AMR in K. pneumoniae continues to increase.
Publisher
Public Library of Science
Subject
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