Evidence map›Paper›PMID 39365840›Full record

Observational studyPLoS neglected tropical diseases2024

Trends in antimicrobial resistance amongst Salmonella Typhi in Bangladesh: A 24-year retrospective observational study (1999-2022).

Arif Mohammad Tanmoy, Yogesh Hooda, Mohammad Saiful Islam Sajib, Hafizur Rahman, Anik Sarkar, Dipu Das, Nazrul Islam, Naito Kanon, Md Asadur Rahman, Denise O Garrett and 8 more

Abstract readObservational Study
In one paragraph

Observational study in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

18 authors.

Arif Mohammad TanmoyChild Health Research Foundation, Dhaka, Bangladesh.
Yogesh HoodaChild Health Research Foundation, Dhaka, Bangladesh.
Mohammad Saiful Islam SajibChild Health Research Foundation, Dhaka, Bangladesh.
Hafizur RahmanChild Health Research Foundation, Dhaka, Bangladesh.
Anik SarkarChild Health Research Foundation, Dhaka, Bangladesh.
Dipu DasChild Health Research Foundation, Dhaka, Bangladesh.
Nazrul IslamChild Health Research Foundation, Dhaka, Bangladesh.
Naito KanonChild Health Research Foundation, Dhaka, Bangladesh.
Md Asadur RahmanPopular Diagnostic Center, Dhaka, Bangladesh.
Denise O GarrettSabin Vaccine Institute, Washington DC, Maryland, United States of America.
Hubert P EndtzDepartment of Medical Microbiology and Infectious Diseases, Erasmus MC, Rotterdam, The Netherlands.
Stephen P LubyDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Mohammod ShahidullahDepartment of Neonatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Md Ruhul AminDepartment of Pediatrics, Bangladesh Institute of Child Health, Dhaka, Bangladesh.
Jahangir AlamDepartment of Pediatrics, Bangladesh Institute of Child Health, Dhaka, Bangladesh.
Mohammed HanifDepartment of Pediatrics, Bangladesh Institute of Child Health, Dhaka, Bangladesh.
Samir K SahaChild Health Research Foundation, Dhaka, Bangladesh.
Senjuti SahaChild Health Research Foundation, Dhaka, Bangladesh.ORCID 0000-0001-6087-6766

Funding

Gates Foundation INV-008335World Health Organization 201588766
6 · The paper itself

Abstract

backgroundRising antimicrobial resistance (AMR) in Salmonella Typhi restricts typhoid treatment options, heightening concerns for pan-oral drug-resistant outbreaks. However, lack of long-term temporal surveillance data on AMR in countries with high burden like Bangladesh is scarce. Our study explores the AMR trends of Salmonella Typhi isolates from Bangladesh, drawing comparisons with antibiotic consumption to optimize antibiotic stewardship strategies for the country. METHODOLOGY/PRINCIPAL

findingsThe typhoid fever surveillance from 1999 to 2022 included two pediatric hospitals and three private clinics in Dhaka, Bangladesh. Blood cultures were performed at treating physicians' discretion; cases were confirmed by microbiological, serological, and biochemical tests. Antibiotic susceptibility was determined following CLSI guidelines. National antibiotic consumption data for cotrimoxazole, ciprofloxacin, and azithromycin was obtained from IQVIA-MIDAS database for comparison. Over the 24 years of surveillance, we recorded 12,435 culture-confirmed typhoid cases and observed declining resistance to first-line drugs (amoxicillin, chloramphenicol, and cotrimoxazole); multidrug resistance (MDR) decreased from 38% in 1999 to 17% in 2022. Cotrimoxazole consumption dropped from 0.8 to 0.1 Daily defined doses (DDD)/1000/day (1999-2020). Ciprofloxacin non-susceptibility persisted at >90% with unchanged consumption (1.1-1.3 DDD/1000/day, 2002-2020). Low ceftriaxone resistance (<1%) was observed, with slightly rising MIC (0.03 to 0.12 mg/L, 1999-2019). Azithromycin consumption increased (0.1 to 3.8 DDD/1000/day, 1999-2020), but resistance remained ≤4%.

conclusionOur study highlights declining MDR amongst Salmonella Typhi in Bangladesh; first-line antimicrobials could be reintroduced as empirical treatment options for typhoid fever if MDR rates further drops below 5%. The analysis also provides baseline data for monitoring the impact of future interventions like typhoid conjugate vaccines on typhoid burden and associated AMR.

Indexed as

Anti-Bacterial AgentsMicrobial Sensitivity TestsSalmonella typhiTyphoid FeverAdolescentAzithromycinBangladeshChildChild, PreschoolCiprofloxacinDrug Resistance, BacterialDrug Resistance, Multiple, BacterialFemaleHumansMaleRetrospective StudiesAnti-Bacterial AgentsAzithromycinCiprofloxacinTrimethoprim, Sulfamethoxazole Drug Combination

Identifiers

PMID39365840
PMCPMC11482714

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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.