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Record W4397044818 · doi:10.1681/asn.20233411s1784a

Renal TMA Presenting After Eight Years of Sunitinib Therapy

2023· article· en· W4397044818 on OpenAlexaff
Anukul Ghimire, Rebecca Brassington, Kim Solez, Aminu K. Bello

Bibliographic record

VenueJournal of the American Society of Nephrology · 2023
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSunitinibMedicineUrologyNephrologyInternal medicineRenal cell carcinoma

Abstract

fetched live from OpenAlex

Introduction: Thrombotic microangiopathy (TMA) is a rare side effect of Tyrosine Kinase Inhibitor (TKI) therapy that has almost always been reported as occurring within the first year of TKI initiation, with very few cases reported between two-three years. We report a case of renal-TMA occurring after eight years of TKI therapy. Case Description: A 70-year-old male was seen for worsening renal function and edema in early 2022. He had a history of metastatic renal clear cell carcinoma treated with left renal resection in 2013 and was started on Sunitinib (TKI) in 2014. His baseline serum creatinine was 151 umol/L and peaked to 260 umol/L with urine protein: creatinine ratio (UPCR) of 857 mg/mmol at the time of referral. Physical exam revealed hypertension and bilateral lower extremity pitting edema. Rheumatologic work up, complement levels, and paraproteinemia panel were unremarkable. Renal biopsy revealed hyaline occlusive glomerular microangiopathy. Sunitinib was discontinued and within one week, his serum creatinine decreased from 260 umol/L to 182 umol/L. He was switched to Nivolumab in late 2022. After a year of discontinuation of Sunitinib, his serum creatinine and UPCR decreased from 260 umol/l and 857 mg/mmol respectively at referral, to 135 umol/l and 50 mg/mmol. The only other treatment that was leveraged was the optimization of his renin-angiotensin blockade using Irbesartan. No recurrence of renal dysfunction was noted after a year of follow-up and his hypertension and edema had resolved. Discussion: To the best of our knowledge, our case is the first to highlight renal TMA occurring after three years TKI therapy. In previous case reports, renal recovery was seen with simply discontinuing the medication and supportive care such as reninangiotensin inhibition, as was seen with our case. Some reports have used steroid therapy however these cases have almost always included stopping the offending agent as well. Mixed results have been reported with re-introducing TKI therapy. Take-away points from this case include: (1) Renal TMA can occur even after many years of TKI therapy, and should be monitored for as a possible long term side effect (2) Management involves obtaining renal biopsy, stopping the TKI, and supportive care to optimize hypertension and proteinuria (3) Further work is needed to understand if steroid treatment is effective and if re-introducing TKI therapy is safe

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.294
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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