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When pure is not so pure: Chloramine‐related hemolytic anemia in home hemodialysis patients

2010· article· en· W1907675371 on OpenAlexvenueno aff
Naushad A. Junglee, Saeed Ur Rahman, Mike Wild, Anke WILMS, Sarah Hirst, Mahdi Jibani, Jim Seale

Bibliographic record

VenueHemodialysis International · 2010
Typearticle
Languageen
FieldMedicine
TopicMethemoglobinemia and Tumor Lysis Syndrome
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineChloramineHemodialysisAnemiaIntensive care medicineDisinfectantHome hemodialysisDialysisErythropoietinHemolysisChlorineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Worldwide, chloramines are used as the preferred disinfectant for city water supplies. Although they have distinct advantages compared with chlorine and are deemed harmless to the general population, hemodialysis (HD) patients are at risk from chloramine-induced hemolytic anemia. In recent years, this has been highlighted in regional dialysis units but not as frequently in the home HD group. We report on 2 home HD patients who succumbed to severe oxidative hemolysis due to high mains water chloramine concentrations. Both patients were extensively investigated for other cause of anemia before a definitive diagnosis was reached. Delays in diagnosing this uncommon condition can be costly in terms of significant morbidity and excessive usage of recombinant erythropoietin and blood transfusion. Prevention primarily involves enforcing strict water quality control and establishing regular communication with water supply boards and home HD patients. Double (inline) carbon filters should be installed in patient's homes as an effective means for removing high incoming chloramine concentrations.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.010
GPT teacher head0.250
Teacher spread0.240 · 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; both teacher heads agree on what is shown here.

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

Citations16
Published2010
Admission routes1
Has abstractyes

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