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Record W4417106951 · doi:10.1177/11795476251401715

Purple Urine Bag Syndrome Caused by <i>Klebsiella pneumoniae</i> in an Elderly Patient: A Case Report

2025· article· en· W4417106951 on OpenAlexaff
Sreeja Botuku, S. Garrè, Ramya Sree Muppavarapu, Nagateja Yedida, Sumanth Gundraju, Tarun Kumar Suvvari, Tejinder Singh

Bibliographic record

VenueClinical Medicine Insights Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicMethemoglobinemia and Tumor Lysis Syndrome
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsUrineUrinary systemAntibioticsGastrointestinal tractMetabolic syndrome

Abstract

fetched live from OpenAlex

Purple Urine Bag Syndrome (PUBS) is an uncommon but notable clinical phenomenon primarily observed in patients with long-term indwelling catheters. This syndrome is characterized by a striking purple discoloration of the urine collection bag, often indicative of an underlying urinary tract infection (UTI) and associated metabolic processes. PUBS occurs due to the breakdown of indoxyl sulfate, a tryptophan metabolite, by specific bacteria present in the urinary tract. In this report, we present the case of a 73-year-old female with a chronic Foley’s catheter, later developed PUBS, accompanied by symptoms of lower abdominal pain, fever, and reduced urine output. Urine culture identified Klebsiella pneumoniae , a common uropathogen, as the causative organism. This case highlights the clinical presentation, pathophysiology, and management of PUBS in a patient with long-standing catheterization, along with a brief review of existing literature on the condition. Prompt recognition and targeted antibiotic therapy, alongside supportive measures, were essential in managing the infection and alleviating symptoms.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.030
GPT teacher head0.353
Teacher spread0.323 · 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 designCase report
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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