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

Antimicrobial resistance—a threat to neonate survival

2016· letter· en· W2520003227 sur OpenAlex
Ramanan Laxminarayan, Zulfiqar A Bhutta

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Notice bibliographique

RevueThe Lancet Global Health · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésAntimicrobialAntibiotic resistanceMedicineMEDLINEResistance (ecology)Intensive care medicineBiologyMicrobiologyAntibioticsEcology

Résumé

récupéré en direct d'OpenAlex

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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,341
Écart entre enseignants0,309 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle