MétaCan
Menu
Back to cohort
Record W4407731008 · doi:10.1016/j.ijregi.2025.100605

Klebsiella pneumoniae urinary tract infection: A multicentric study highlights significant regional variations in antimicrobial susceptibility across India

2025· article· en· W4407731008 on OpenAlexaff
Meher Rizvi, Shalini Malhotra, Hiba Sami, Jyotsna Agarwal, Areena Hoda Siddiqui, Sheela Devi, Aruna Poojary, Bhaskar Thakuria, Isabella Princess, Aarti Gupta, Amal Malehi, Asfia Sultan, Ashish Jitendranath, Balvinder Mohan, Fatima Khan, H. Tahir, Nainaraj Ilanchezhiyan, Mannu Jain, Maria Khan, Narendra Pal Singh, Renu Gur, Sarita Mohapatra, Shaika Farooq, Vellore Ramanathan Yamunadevi, Ken Masters, Nisha Goyal, Manodeep Sen, Razan Al Zadjali, Rugma Rajendradas, Suneeta Meena, Bradley J. Langford, Reba Kanungo, Zaaima Al Jabri, Arwa Al Rajaibi, Sanjeev Singh, Azza AL Mamari, Sarman Singh, Keith H. St. John, Raman Sardana, Pawan Kapoor, Amina Al Jardani, Rajeev Soman, Abdullah Balkhair, Neelam Taneja

Bibliographic record

VenueIJID Regions · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Toronto
FundersData Across Sectors for HealthSultan Qaboos University
KeywordsKlebsiella pneumoniaeAntimicrobialMicrobiologyMedicineBiologyEscherichia coliGenetics

Abstract

fetched live from OpenAlex

• Mapping of the antimicrobial susceptibility of Klebsiella pneumoniae in urinary tract infection was undertaken by 18 centers across India. • The national susceptibilities to nitrofurantoin, meropenem, and fosfomycin were 39%, 81%, and 89%, respectively. • The proportion of susceptibility of K. pneumoniae to different antimicrobials was directly linked to geographic region ( P <0.001). • South India had the highest mean susceptibility to trimethoprim/sulfamethoxazole, piperacillin/tazobactam, imipenem, and meropenem. • Humidity, and low and high temperatures ( P <0.05) had a statistically significant effect on the proportion of susceptible K. pneumoniae . Knowledge of local antibiotic susceptibility rates is essential to strengthen antimicrobial stewardship programs. DASH to Protect Antibiotics ( https://dashuti.com/ ), promotes the dissemination of focused local antibiograms in community urinary tract infection (UTI). This study mapped the susceptibility profile of Klebsiella pneumoniae from 18 Indian centers. The centers spanned nine Indian States and three Union Territories. Urinary K. pneumoniae antibiograms from the outpatient clinic were collated and analyzed. Standardization was achieved through online training. For epidemiological purposes, five centers tested fosfomycin. Overall, low susceptibility (<60%) was observed for the standard oral antibiotics prescribed for cystitis: co-trimoxazole, 54% (36-68%); ciprofloxacin, 52% (29-55%); amoxicillin-clavulanic acid, 46%, (35-82%); nitrofurantoin, 39% (19-78%); and cefuroxime, 30% (15-62%). The rates for third- and fourth-generation cephalosporins were 49% (45-52%) and 60% (36-76%), respectively. Extended-spectrum beta-lactamases ranged from 36-61% in India. Piperacillin-tazobactam 74% (65-87%), amikacin 76% (45-91%), and meropenem 81% (61-87%) exhibited higher activity. Fosfomycin was the most active antimicrobial, with 89% (92-97%) susceptibility. K. pneumoniae susceptibility was directly linked to geographic region, log gross domestic product ( P <0.001), and humidity, and low and high temperatures ( P <0.05). Oral treatment options for K. pneumoniae cystitis are rapidly decreasing. Northern and southern India showed significant differences in antimicrobial susceptibility, highlighting the importance of local antibiograms for promoting antimicrobial stewardship. For uncomplicated cystitis, co-trimoxazole (54%) may be the empirical choice. Good susceptibility to fosfomycin was observed (89%). The empirical use of fluoroquinolones, cephalosporins, and amoxicillin-clavulanic acid has been discouraged. Piperacillin-tazobactam and aminoglycosides are carbapenem-sparing agents.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.293
Teacher spread0.279 · 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 teacher head, not a consensus.

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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueIJID RegionsSame topicAntibiotic Resistance in BacteriaFrench-language works237,207