Evidence map›Paper›PMID 40356741›Full record

ArticleJAC-antimicrobial resistance2025

The association between antibiotic use in hospitals and residual antibiotic concentrations in hospital effluents: a pilot study.

Fatima Zahra Deedat, Andile Mbuso Faya, Bhekumuzi Prince Gumbi, Deanne Mary Graham Johnston, Rajshekhar Karpoormath, Sabiha Yusuf Essack

Abstract read
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Article in JAC-antimicrobial resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Fatima Zahra DeedatAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa.
Andile Mbuso FayaDiscipline of Pharmaceutical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Bhekumuzi Prince GumbiSchool of Chemistry and Physics, University of KwaZulu-Natal, Durban, South Africa.
Deanne Mary Graham JohnstonDiscipline of Pharmaceutical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Rajshekhar KarpoormathDiscipline of Pharmaceutical Sciences, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Sabiha Yusuf EssackAntimicrobial Research Unit, College of Health Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa.ORCID https://orcid.org/0000-0003-3357-2761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyse the possible association between hospital antibiotic use and residual antibiotic concentrations in wastewater effluents, with the aim of evaluating wastewater surveillance as a potential alternative antimicrobial use monitoring system (AlAUMS). Methods: The study was conducted at a Regional Hospital in South Africa and followed an observational, quantitative and correlational design. The hospital use of selected antibiotics was determined using consumption data as a proxy and calculated using the WHO Anatomic Therapeutic Chemical (ATC) and DDD methodology. Selected antibiotics in the hospital effluent were analysed by solid-phase extraction (SPE) and quantified by GC-MS. Spearman's rank correlation coefficient and Findings: The highest mean antibiotic use in the hospital was for oral sulfamethoxazole (6.71 DDD/100 bed days), followed by parenteral cefazolin (3.15 DDD/100 bed days). The highest mean antibiotic concentration in the hospital effluent was for sulfamethoxazole (34.57 μg/L) followed by cefazolin (25.32 μg/L). A strong positive correlation was observed for sulfamethoxazole ( Conclusions: The positive correlation displayed between the use of cefazolin and sulfamethoxazole and their concentrations in wastewater indicates a potential association between antibiotic use and residual antibiotic concentrations in hospital settings suggesting that wastewater surveillance is a promising proxy for conventional antibiotic use surveillance. Further studies are necessary to validate these results before wastewater surveillance can be implemented as an AlAUMS.

Identifiers

PMID40356741
PMCPMC12066823

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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.