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Record W2944570192 · doi:10.9740/mhc.2019.05.124

Clozapine-associated renal failure: A case report and literature review

2019· article· en· W2944570192 on OpenAlexfundno aff
Erica Davis, Deanna L. Kelly

Bibliographic record

VenueMental Health Clinician · 2019
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
FundersHLS TherapeuticsNational Institute of Mental HealthH. Lundbeck A/S
KeywordsClozapineDiscontinuationMedicineLithium (medication)ConcomitantRenal functionMood stabilizerIntensive care medicineInternal medicinePediatricsSchizophrenia (object-oriented programming)Bipolar disorderPsychiatry

Abstract

fetched live from OpenAlex

One of clozapine's unrecognized potential side effects is renal insufficiency and nephritis. Although most clinicians are aware of the possibility of clozapine-induced myocarditis, less is known about other inflammatory disorders due to clozapine treatment. This patient was started on lithium and clozapine within 4 days of each other although lithium was discontinued after 7 days due to tremor. Routine labs showed an increase in serum creatinine, which was initially attributed to the recent lithium. However, the patient's kidney function continued to worsen, requiring discontinuation of clozapine despite a robust response to a low dose. Several years later, the patient's kidney function improved but has not returned to baseline. This literature review and case report illustrates the similarities in diagnostic presentation of clozapine-associated renal insufficiency as well as potential risk factors. More research should be conducted into the role concomitant sodium valproate and/or lithium play in the risk of clozapine-associated renal insufficiency.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.486
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.365
Teacher spread0.346 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations12
Published2019
Admission routes1
Has abstractyes

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