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Enregistrement W2751566307 · doi:10.14393/ufu.di.2016.370

Impacto na epidemiologia da sepse tardia após a mudança do protocolo de antimicrobianos em uma UTIN de um serviço universitário

2016· dissertation· pt· W2751566307 sur OpenAlexaff
Maria Beatriz Guimarães Ferreira

Notice bibliographique

Revuenon disponible
Typedissertation
Languept
DomaineMedicine
ThématiqueNeonatal and Maternal Infections
Établissements canadiensImpact
Organismes subventionnairesnon disponible
Mots-clésHumanitiesMedicinePhilosophy

Résumé

récupéré en direct d'OpenAlex

Advances in neonatology resulted in reducing the mortality rate and the consequent increase in survival of newborn pre terms (PTN). On the other hand, there was also a considerable increase in the risk of developing health care-related infection (HAI) in its most invasive, especially for bloodstream. This situation is worrying, and prevent the occurrence of it is a challenge and becomes one of the priorities in the Neonatal Intensive Care Unit (NICU). Sepsis is the main cause of death in critical neonates and affects more than one million newborns each year, representing 40% of all deaths in neonates. The incidence of late sepsis can reach 50% in NICUs. Currently the major responsible for the occurrence of sepsis in developed countries is the coagulase negative Staphylococcus (CoNS), followed by S. aureus. The cases of HAIs caused by resistant isolates for major classes of antimicrobial agents have been increasingly frequent in the NICU. Therefore, vancomycin has to be prescribed more frequently, and, today, the first option in the treatment of bloodstream infections by resistant Staphylococcus. The objectives of this study were to assess the impact on late sepsis in epidemiology III NICU after the change of the use of antimicrobials protocol; check the frequency of multiresistant microorganisms; assess the number of neonates who came to death. This study was conducted in NICU Level III HC-UFU. three study groups were formed based on the use of the proposed late sepsis treatment protocol, with 216 belonging to the period A, 207 B and 209 to the C. The work was divided into three stages: Period A: data collected from neonates admitted to the unit between September 2010 to August 2011. was using treatment of late sepsis: with oxacillin and gentamicin, oxacillin and amikacin, oxacillin and cefotaxime. Period B: data were collected from March 2012 to February 2013. Data collection was started six months after protocol change. Due to the higher prevalence of CoNS, the initial protocol was changed to vancomycin and cefotaxime. Period C: data were collected from newborns inteerne in the unit from September 2013 to August 2014. Data collection was started six months after the protocol change, which occurred in March 2013. From the 632 neonates included in this study, 511 (80,8%) came from the gynecology and obstetrics department of the HC-UFU. The mean gestational age was 33 weeks and the prevailing sex was male (55,7%). Seventy-nine percent of the studied neonates were hospitalized at the NICU HC-UFU III because of complications related to the respiratory system. Suspicion of sepsis took to hospitalization in the unit of 1,9% of newborns. In general, the infection rate was 34,5%, and the most frequent infectious sepsis syndrome 81,2%. There was a tendency to reduce the number of neonates who died between periods A 11 and C (p = 0,053). From the 176 cases of late sepsis, 73 were clinical sepsis and 103 had laboratory confirmation, with greater representation of Gram positive bacteria, which corresponded to 67.2% of the isolates and CoNS the most frequent micro-organism (91,5%). There was a statistically significant difference in the reduction of isolation of Gram positive microorganisms between periods A and C (p = 0,0365) as well as in reducing multidrug-resistant CoNS (A and B period p = 0,0462 and A and C period, p = 0,158). This study concluded that: the CoNS was the main microorganism responsible for the occurrence of late sepsis in neonates in the NICU of HC-UFU; the main risk factors for the occurrence of late sepsis were: birth weight <1500 g, use of PICC and CUV, need for mechanical ventilation and parenteral nutrition, SNAPPE> 24 and length of stay more than seven days; the new empirical treatment protocol late sepsis, based on the use of vancomycin associated cefepime, it was effective, since promoted a reduction in insulation CoNS blood cultures between the pre and post implementation of the Protocol (A and C, respectively); just as there was a reduction in the number of newborns who evolved to death between periods A and C.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,032
score de la tête « metaresearch » (Gemma)0,063
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil0,168

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0320,063
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,001
Communication savante0,0030,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,020
Tête enseignante GPT0,318
Écart entre enseignants0,298 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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