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Record W3126771191 · doi:10.1016/j.eclinm.2021.100727

A global point prevalence survey of antimicrobial use in neonatal intensive care units: The no-more-antibiotics and resistance (NO-MAS-R) study

2021· article· en· W3126771191 on OpenAlexafffund
Pavel Prusakov, Debra A. Goff, Phillip S. Wozniak, Azraa Cassim, Catherine E. A. Scipion, Soledad Urzúa, Andrea Ronchi, Lingkong Zeng, Oluwaseun Ladipo‐Ajayi, Noelia Aviles-Otero, Chisom R. Udeigwe‐Okeke, Rimma Melamed, Rita C. Silveira, Cinzia Auriti, Claudia Beltrán-Arroyave, Elena Zamora-Flores, María Isabel Sánchez-Códez, Eric S. Donkor, Satu Kekomäki, Nicoletta Mainini, Rosalba Vivas Trochez, Jamalyn Casey, Juan M. Graus, Mallory Muller, Sara Singh, Yvette G.T. Loeffen, María Eulalia Tamayo Pérez, Gloria Isabel Ferreyra, Victoria Lima‐Rogel, Barbara Perrone, Giannina Izquierdo, María Cernada, Sylvia Stoffella, Sebastian O. Ekenze, Concepción de Alba-Romero, Chryssoula Tzialla, Jennifer T. Pham, Kenichiro Hosoi, Magdalena Cecilia Calero Consuegra, P Betta, O. Alvaro Hoyos, Emmanuel Roilides, Gabriela Naranjo-Zuñiga, Makoto Oshiro, Victor Garay, Vito Mondı̀, Danila Mazzeo, James A. Stahl, Joseph B. Cantey, Juan Gonzalo Mesa Monsalve, Erik Normann, Lindsay C. Landgrave, Ali Mazouri, Claudia Alarcón Avila, Fiammetta Piersigilli, Mónica Trujillo, Sonya Kolman, Verónica Delgado, Veronica Guzman, Mohamed Abdellatif, Luis Monterrosa, Lucia Gabriella Tina, Khalid Yunis, Marco Antonio Belzu Rodriguez, Nicole Le Saux, Valentina Leonardi, Alessandro Porta, Giuseppe Latorre, Hidehiko Nakanishi, Michal Meir, Paolo Manzoni, Ximena Norero, Ángela Hoyos, Diana Arias, Rubén García Sánchez, Alexandra K Medoro, Pablo J. Sánchez

Bibliographic record

VenueEClinicalMedicine · 2021
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsChildren's Hospital of Eastern OntarioSaint John Regional Hospital
FundersLarner College of Medicine, University of VermontCollege of Medicine Office of Research, Ohio State UniversityUppsala UniversitetSultan Qaboos UniversityHospital de Clínicas de Porto AlegrePontificia Universidade Catolica de CampinasUniversidad Nacional de San LuisSchool of MedicineAmerican University of BeirutNelson Mandela Metropolitan UniversityChildren's Hospital of Eastern Ontario FoundationUniversidade Federal do Rio Grande do SulOhio State UniversityNationwide Children's HospitalFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoYale UniversityUniversity of VermontMerck
KeywordsMedicineAmikacinMeropenemVancomycinAntimicrobial stewardshipGentamicinAntibioticsAntimicrobialPediatricsAntibiotic resistanceGestational ageBirth weightLow birth weightAmpicillinNeonatal intensive care unitIntensive careMoxifloxacinIntensive care medicinePregnancyMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: Global assessment of antimicrobial agents prescribed to infants in the neonatal intensive care unit (NICU) may inform antimicrobial stewardship efforts. METHODS: We conducted a one-day global point prevalence study of all antimicrobials provided to NICU infants. Demographic, clinical, and microbiologic data were obtained including NICU level, census, birth weight, gestational/chronologic age, diagnoses, antimicrobial therapy (reason for use; length of therapy), antimicrobial stewardship program (ASP), and 30-day in-hospital mortality. FINDINGS: = 0·02). INTERPRETATION: Global NICU antibiotic use was frequent and prolonged regardless of culture results. NICU-specific ASPs were associated with lower antibiotic utilization rates, suggesting the need for their implementation worldwide. FUNDING: Merck & Co.; The Ohio State University College of Medicine Barnes Medical Student Research Scholarship.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.345
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations83
Published2021
Admission routes2
Has abstractyes

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