Evidence map›Paper›PMID 41654708›Full record

ArticleBMC geriatrics2026

Low-inflammatory response phenotypes in elderly urinary tract infections: pathogen type, antimicrobial resistance, and comorbidity-associated risk profiles.

Hu Ming, Wang Na, Huang Tingting, Wu Huiyi, Wang Jiaping

Abstract read
In one paragraph

Article in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hu Ming *Department of Clinical Laboratory, Donghai People's Hospital, Kangda College of Nanjing Medical University, Lianyungang, 223000, China.
Wang Na *Department of Clinical Laboratory, Donghai People's Hospital, Kangda College of Nanjing Medical University, Lianyungang, 223000, China.
Huang TingtingDepartment of Clinical Laboratory, Donghai People's Hospital, Kangda College of Nanjing Medical University, Lianyungang, 223000, China.
Wu HuiyiDepartment of Clinical Laboratory, Donghai People's Hospital, Kangda College of Nanjing Medical University, Lianyungang, 223000, China.
Wang JiapingDepartment of Clinical Laboratory, Donghai People's Hospital, Kangda College of Nanjing Medical University, Lianyungang, 223000, China. 13585281988@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infections (UTIs) in elderly patients often present with attenuated inflammatory responses, complicating diagnosis and treatment. This retrospective cohort study analyzed 1,950 hospitalized patients aged ≥ 60 years (2022–2024) to investigate associations between uropathogens, antimicrobial resistance, urinary inflammatory markers (pyuria, leukocyte esterase, nitrite), and comorbidities. Standard culture, VITEK2 identification, and Clinical and Laboratory Standards Institute (CLSI) guidelines were used for pathogen characterization. Logistic regression models assessed risk factors for resistance and inflammation, while clinical outcomes were compared between susceptibility-matched and mismatched therapies.Escherichia coli dominated (62.7%) and elicited the strongest inflammatory responses, with pyuria (59.8%), leukocyte esterase (82.6%), and nitrite positivity (47.8%; all P < 0.001 compared with other pathogens). Enterococcus spp. (9.5%) and resistant strains (29.9%) showed significantly weaker inflammation: resistant isolates had lower pyuria (68.0% vs. 83.8%) and leukocyte esterase positivity (64.6% vs. 84.2%; P < 0.001). Diabetes independently increased risks of extended-spectrum β-lactamase (ESBL)-producing (OR = 1.87, 95% CI:1.50–2.33) and carbapenem-resistant Enterobacteriaceae (CRE) infections (OR = 2.01, 1.32–3.05), while chronic kidney disease correlated with Enterococcus prevalence (OR = 2.35, 1.54–3.59). Patients receiving susceptibility-matched therapy had shorter hospital stays (median 6 vs. 9 days, P = 0.025) and lower sepsis incidence (5.9% vs. 9.7%, P = 0.016).These findings reveal pathogen-specific inflammatory signatures in elderly UTIs, with resistant organisms and Enterococcus spp. linked to diagnostically challenging low-inflammatory phenotypes. Comorbidities shape resistance risks, advocating for individualized diagnostic thresholds and rapid resistance profiling to optimize empirical therapy.

Indexed as

Drug Resistance, BacterialInflammationPhenotypeUrinary Tract InfectionsAgedAged, 80 and overAnti-Bacterial AgentsCarboxylic Ester HydrolasesCohort StudiesComorbidityEnterococcusFemaleHumansMaleRetrospective StudiesRisk FactorsAnti-Bacterial AgentsCarboxylic Ester HydrolasesAntimicrobial resistanceDiabetesGeriatric infectionHost-pathogen interactionUrinary biomarkers

Identifiers

PMID41654708
PMCPMC12917960

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