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Record W2520003227 · doi:10.1016/s2214-109x(16)30221-2

Antimicrobial resistance—a threat to neonate survival

2016· letter· en· W2520003227 on OpenAlexaff
Ramanan Laxminarayan, Zulfiqar A Bhutta

Bibliographic record

VenueThe Lancet Global Health · 2016
Typeletter
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsAntimicrobialAntibiotic resistanceMedicineMEDLINEResistance (ecology)Intensive care medicineBiologyMicrobiologyAntibioticsEcology

Abstract

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Improvements in child survival have contributed much of the gains in life expectancy at birth during the last two decades. At a global level, neonatal mortality has decreased from 36 to 19 deaths per 1000 livebirths between 1990 and 2012.1You D Hug L Ejdemyr S et al.Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation.Lancet. 2015; 386: 2275-2286Summary Full Text Full Text PDF PubMed Scopus (451) Google Scholar However, the reduction in neonatal mortality between 1990 and 2015 (47%) has lagged behind that of postneonatal under-5 years mortality (58%) globally.2United Nations Inter-agency Group for Child Mortality EstimationLevels and trends in child mortality: report 2015. United Nations, New York2015Google Scholar The Every Newborn Action Plan aims for countries to have ten or fewer neonatal deaths per 1000 livebirths by 2035 (or 12 or fewer neonatal deaths by 2030).3Lawn JE Blencowe H Oza S et al.Every Newborn: progress, priorities, and potential beyond survival.Lancet. 2014; 384: 189-205Summary Full Text Full Text PDF PubMed Scopus (1040) Google Scholar 40% of newborn deaths and stillbirths occur around the time of birth and interventions that focus on facility-based care during this period have been shown to effectively prevent deaths and disability.4Bhutta ZA Das JK Bahl R et al.Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost?.Lancet. 2014; 384: 347-370Summary Full Text Full Text PDF PubMed Scopus (773) Google Scholar A particular focus of these interventions is on the reduction of neonatal sepsis or meningitis, which accounted for 421 000 deaths5Liu L Oza S Hogan D et al.Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.Lancet. 2015; 385: 430-440Summary Full Text Full Text PDF PubMed Scopus (1996) Google Scholar or roughly 16% of neonatal deaths in 2013,5Liu L Oza S Hogan D et al.Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.Lancet. 2015; 385: 430-440Summary Full Text Full Text PDF PubMed Scopus (1996) Google Scholar in which rates of reduction between 1990 and 2012 have been among the slowest. Facility-based births could help to reduce the risk of sepsis but poor quality facilities are where the dangers of antimicrobial resistance are greatest. Estimates indicate that 56 524 neonates die each year from resistance-attributable neonatal sepsis deaths caused by bacteria resistant to first-line antibiotics in India; the toll in Pakistan is 25 692 neonates.6Laxminarayan R Matsoso P Pant S et al.Access to effective antimicrobials: a worldwide challenge.Lancet. 2016; 387: 168-175Summary Full Text Full Text PDF PubMed Scopus (667) Google Scholar Our understanding of the impact of antimicrobial resistance on sepsis outcomes comes from small single-centre studies. In Tanzania, 40% of the 300 neonates with sepsis at a neonatal unit tracked in one study had early onset sepsis and 47% had a positive blood culture.7Kayange N Kamugisha E Mwizamholya DL Jeremiah S Mshana SE Predictors of positive blood culture and deaths among neonates with suspected neonatal sepsis in a tertiary hospital, Mwanza-Tanzania.BMC Pediatr. 2010; 10: 39Crossref PubMed Scopus (180) Google Scholar Of those, 29% of neonates who were culture positive died compared with 9% who were culture negative. Mortality was increased in neonates with a Gram-negative bacterial infection, extended-spectrum β lactamase producing organism or meticillin-resistant Staphylococcus aureus. A single neonatal intensive care unit study from India reported that the proportion of culture positive sepsis was 14·8 per 1000 inborn neonates and 83·0 per 1000 outborn neonates based on 997 blood cultures. Overall sepsis-related mortality was 19%.8Viswanathan R Singh AK Mukherjee S Mukherjee R Das P Basu S Aetiology and antimicrobial resistance of neonatal sepsis at a tertiary care centre in eastern India: a 3 year study.Indian J Pediatr. 2011; 78: 409-412Crossref PubMed Scopus (45) Google Scholar Most cultures showed Gram-negative bacteria, Klebsiella pneumoniae being the most common pathogen. The Delhi Neonatal Infection Study (DeNIS)9Investigators of the Delhi Neonatal Infection Study (DeNIS) collaborationCharacterisation and antimicrobial resistance of sepsis pathogens in neonates born in tertiary care centres in Delhi, India: a cohort study.Lancet Glob Health. 2016; 4: e752-e760Summary Full Text Full Text PDF PubMed Scopus (192) Google Scholar followed up a cohort of 88 636 newborn infants for about 3 years in three large hospitals in Delhi, India, and represents one of the largest studies to date of neonatal sepsis and resistance in the Indian subcontinent. A few key results stand out. Rates of culture-proven sepsis were high—9·5 per 1000 livebirths compared with less than 5·0 per 1000 livebirths in high-income countries10Zaidi AK Huskins WC Thaver D Bhutta ZA Abbas Z Goldmann DA Hospital-acquired neonatal infections in developing countries.Lancet. 2005; 365: 1175-1188Summary Full Text Full Text PDF PubMed Scopus (495) Google Scholar but lower than the 15·6 per 1000 livebirths reported from the National Neonatal-Perinatal Database of India.8Viswanathan R Singh AK Mukherjee S Mukherjee R Das P Basu S Aetiology and antimicrobial resistance of neonatal sepsis at a tertiary care centre in eastern India: a 3 year study.Indian J Pediatr. 2011; 78: 409-412Crossref PubMed Scopus (45) Google Scholar Early onset sepsis was common with nearly two-thirds of cases occurring within 72 h of birth. Three pathogens (Klebsiella spp, Acinetobacter spp, and Escherichia coli) were associated with more than half (53%) of the infections. 181 (82%) of 222 infections caused by Acinetobacter spp were multidrug resistant, confirming that pan-resistant untreatable Acinetobacter spp infections associated with high mortality in neonatal nurseries is a subcontinentinal-wide problem.11Saleem AF Ahmed I Mir F Ali SR Zaidi AK Pan-resistant Acinetobacter infection in neonates in Karachi, Pakistan.J Infect Dev Ctries. 2010; 4: 30-37Crossref Scopus (44) Google Scholar Sepsis accounted for nearly a quarter of all newborn deaths, higher than the 15% in global estimates noted in 2013.5Liu L Oza S Hogan D et al.Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.Lancet. 2015; 385: 430-440Summary Full Text Full Text PDF PubMed Scopus (1996) Google Scholar Case fatality rates of culture-positive and culture-negative sepsis were similar to those observed in other low-income and middle-income country settings (figure 1). There was a modest excess risk of mortality associated with multidrug-resistant organisms, which was lower than that previously recorded in south Asia.18Thaver D Ali SA Zaidi AK Antimicrobial resistance among neonatal pathogens in developing countries.Pediatr Infect Dis J. 2009; 28: S19-S21Crossref PubMed Scopus (72) Google Scholar There are methodological challenges in the attribution of excess neonatal mortality with antimicrobial resistance because of known confounding with severity of illness at presentation, treatment delay, and antibiotic choices. The fairly modest excess mortality (significant only for Acinetobacter spp and Pseudomonas spp) associated with antimicrobial resistance is also possibly accounted for by the high baseline mortality associated with culture-positive sepsis—as high as 67% in one facility. Resistance among hospital acquired infections in Indian hospitals is a growing problem and driven by a combination of poor infection control and high, uncontrolled rates of antimicrobial prescribing.19Laxminarayan R Chaudhury RR Antibiotic resistance in India: drivers and opportunities for action.PLoS Med. 2016; 13: e1001974Crossref PubMed Scopus (276) Google Scholar Many neonates in hospitals in south Asia are now treated with carbapenems as a first-line therapy for sepsis or presumed sepsis. Against this backdrop, the widespread availability and antimicrobial use in community settings and the contribution of antimicrobial resistance as a complicating factor in neonate sepsis becomes extremely important. Notwithstanding the importance of preventive strategies to reduce the risks and burden of neonatal infections,3Lawn JE Blencowe H Oza S et al.Every Newborn: progress, priorities, and potential beyond survival.Lancet. 2014; 384: 189-205Summary Full Text Full Text PDF PubMed Scopus (1040) Google Scholar early detection and prescribing of appropriate antibiotics will remain the cornerstone of management strategies. The DeNIS study highlights the serious risk associated with neonatal sepsis and resistance in health-care facilities that would rank among the better performing hospitals in a large middle-income country. With an increased focus on institutionalising births in India and other low-income and middle-income countries, the quality of care and infection control in health-care institutions must receive greater attention and resources. We declare no competing interests. Characterisation and antimicrobial resistance of sepsis pathogens in neonates born in tertiary care centres in Delhi, India: a cohort studyThe high incidence of sepsis and alarming degree of antimicrobial resistance among pathogens in neonates born in tertiary hospitals underscore the need to understand the pathogenesis of early-onset sepsis and to devise measures to prevent it in low-income and middle-income countries. Full-Text PDF Open Access

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.341
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations101
Published2016
Admission routes1
Has abstractyes

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