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Record W4403319827 · doi:10.2215/cjn.0000000000000537

Prevalence and Outcomes of Chronic Kidney Disease-Associated Pruritus

2024· article· en· W4403319827 on OpenAlexaff
Karthik Tennankore, Keith McCullough, Brian Bieber, Yeoungjee Cho, David W. Johnson, Talerngsak Kanjanabuch, Hideki Kawanishi, Yong-Lim Kim, Mark Lambie, Claudio Rigatto, Jenny I. Shen, Martin A. Schreiber, Jeffrey Perl, Ronald L. Pisoni

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsSt. Michael's HospitalUniversity of ManitobaOrthopaedic Innovation CentreNova Scotia Health AuthorityDalhousie University
FundersBayer YakuhinBaxter Healthcare CorporationKisseiCaraNational Institutes of HealthKidney Foundation, JapanVifor PharmaMSD K.K.Ono PharmaceuticalKyowa Hakko KirinTorii PharmaceuticalChugai PharmaceuticalAstellas Pharma USAkebia TherapeuticsTerumoAmgen
KeywordsMedicineKidney diseaseDiseaseInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Key Points CKD-associated pruritus is highly prevalent among peritoneal dialysis patients. Pruritus is associated with reduced health-related quality of life, and the composite of mortality and transfer to hemodialysis for peritoneal dialysis patients. Efforts to better identify and manage pruritus in this population are needed. Background Pruritus is common in hemodialysis patients. Less is known about the prevalence and outcomes of pruritus among patients receiving peritoneal dialysis (PD). Herein, we describe the prevalence of pruritus and its associations with patient-reported outcomes (PROs) and mortality/transfer to hemodialysis. Methods We analyzed a multicenter, international cohort of PD patients enrolled in the PD Outcomes and Practice Patterns Study from 2014 to 2022. Pruritus was assessed at entry into the PD Outcomes and Practice Patterns Study with a single-question Likert Scale capturing the extent to which patients were bothered by itch ranging from 1: not at all to 5: extremely . The kidney disease quality of life-36 and the Center for Epidemiological Studies Depression Scale assessed various PROs. Moderate-to-extreme pruritus was defined as a Likert scale score ≥3. The associations of pruritus with PROs were assessed using linear/logistic regression where appropriate. Death or hemodialysis transfer was assessed using multivariable Cox regression models. Results Overall, 5535 patients from eight countries were included; 43% had moderate-to-extreme pruritus which was the highest in Thailand (50%) and the lowest in the United States (33%). The adjusted odds ratios of moderate-to-extreme pruritus were higher for diabetes, low albumin, and elevated phosphorus but lower for residual urine volume (adjusted odds ratio, 0.98 per 200 ml increase in 24-hour urine volume; 95% confidence interval, 0.96 to 1.00; P = 0.05). Patients with extreme pruritus had the lowest mental and physical health component scores and a higher burden of other PROs including restless legs and disturbed sleep. Overall, 921 patients died and 1150 were transferred to hemodialysis. Patients with moderate-to-extreme pruritus were at higher adjusted risk for death or hemodialysis transfer (adjusted hazard ratio, 1.12; 95% confidence interval, 1.02 to 1.23; P = 0.02) with similar point estimates for each subcomponent of the composite outcome. Conclusions Pruritus is highly prevalent in PD and associated with poor health outcomes. Efforts to better identify and manage pruritus should be considered in this population.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.358
Teacher spread0.334 · 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 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

Citations12
Published2024
Admission routes1
Has abstractyes

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