Evidence map›Paper›PMID 39883069›Full record

ArticleInternational health2025

Direct economic costs related to antimicrobial resistance in bloodstream infections isolated from newborns in a perinatal hospital in Peru.

Maria J Pons, Antonio M Quispe, Miguel Tirado, Gabriela Soza, Joaquim Ruiz

Abstract read
In one paragraph

Article in International health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Hospital Cost Components and Predictors inTropical medicine and infectious disease · 2026
    Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maria J PonsUniversidad Cientifica del Sur, Villa el Salvador, Lima 15067, Perú.ORCID 0000-0001-8384-2315
Antonio M QuispeUniversidad Señor de Sipán, Chiclayo 1502, Perú.
Miguel TiradoInstituto Nacional Materno Perinatal de Lima, Cercado de Lima, Lima 15001, Perú.
Gabriela SozaInstituto Nacional Materno Perinatal de Lima, Cercado de Lima, Lima 15001, Perú.
Joaquim RuizUniversidad Cientifica del Sur, Villa el Salvador, Lima 15067, Perú.ORCID 0000-0002-4431-2036

Funding

Universidad Científica del Sur
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) has emerged as a priority for both public health and the global economy. Moreover, information on AMR is scarce, particularly in low/middle-income countries. We evaluated the direct economic cost of microorganisms and AMR.

methodsWe performed a cross-sectional study to assess the economic costs of neonatal cases diagnosed with bacteremia at the Instituto Nacional Materno Perinatal in Lima, Peru, from January 2017 to June 2018. We used cost invoices calculated by the micro-costing bottom-up approach, as well as the strain identification and antimicrobial susceptibility data, to estimate the direct costs.

resultsThe average costs of bacteremia were US$349 (SD 403) for multidrug-resistant (MDR) strains and US$276 (SD 349) for non-MDR strains. Costs were higher for microorganisms associated with late-onset sepsis (LOS). We found that LOS, multidrug resistance and age were significantly associated with bloodstream infection (BSI) costs. Also, all microorganism groups were associated with increased costs, with the highest average costs for Acinetobacter, followed by Pseudomonas.

conclusionsIn Peru, BSI costs are strongly associated with AMR. Furthermore, costs increase significantly with LOS, multidrug resistance and the patient's age. We urge health authorities to strengthen measures and strategies against the pressing threat of AMR.

Indexed as

Anti-Bacterial AgentsBacteremiaHealth Care CostsCross-Sectional StudiesDrug Resistance, Multiple, BacterialFemaleHumansInfant, NewbornMalePeruAnti-Bacterial Agentsantibiotic resistancebacteremiacostsneonatesPeru

Identifiers

PMID39883069
PMCPMC12212210

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.