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Record W4398252078 · doi:10.1093/ndt/gfae069.524

#2434 Literature review on the burden of herpes zoster in patients with kidney disease—a need for earlier prevention

2024· article· en· W4398252078 on OpenAlexaff
Deepali Kumar, Anamaria Jorga, Huifeng Yun, Charles A. Williams

Bibliographic record

VenueNephrology Dialysis Transplantation · 2024
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineDiseaseKidney diseaseIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background and Aims Kidney disease (KD), including end stage renal disease (ESRD), is a global health problem. Both are associated with impaired immune systems, which can lead to infections. Complications such as cardiovascular disease and various infections are leading causes of morbidity and mortality in KD patients. Notably, patients with KD have an increased risk of herpes zoster (HZ). While the link between ESRD and renal transplant with increased HZ risk is understood, knowledge gaps regarding the burden of HZ across the KD spectrum still exist. This review aims to describe the risk and impact of HZ across the KD spectrum in order to guide preventive care strategies for patients with renal diseases. Method A structured literature review was conducted in PubMed using a combination of keywords and Medical Subject Heading (MeSH) terms to identify studies related to HZ risk in adult KD patients aged ≥18 years published in the English language between 01/11/2003–31/10/2023. Data extracted from published studies included the burden of HZ infection in patients with KD (risk of HZ and related complications), impact of HZ on underlying KD, and the efficacy/effectiveness of HZ vaccines among patients with KD. Results A total of 47 studies were identified (Randomized controlled trials [RCT] = 2; observational studies = 45) in this review (Fig. 1). Included studies presented evidence from regions in Europe (n = 18), Asia (n = 17), North America (n = 7), South America (n = 1), multinational (n = 2) and Australia (n = 1); country not reported in one study. Evidence from observational studies (n = 37) reported a high risk of HZ infection and related complications, such as disseminated HZ, and recurrent HZ across the KD spectrum, including chronic KD, polycystic KD, hemodialysis, peritoneal dialysis and kidney transplant patients. Infection with HZ was reported to accelerate KD progression and increased the risk of ESRD and cardiovascular events. In general, for ESRD patients with an inpatient HZ diagnosis, mortality increased with age, followed by malnutrition and bacteremia/septicemia. Studies reporting vaccine efficacy (n = 2) and effectiveness results (n = 8) suggest that HZ vaccination was associated with a reduced risk of HZ when compared to unvaccinated individuals. Furthermore, the recombinant zoster vaccine (RZV) was found to be immunogenic in kidney transplant recipients, with immunogenicity persisting through 12 months post-vaccination. An RCT post-hoc analysis showed high vaccine efficacy in patients aged ≥50 years with medical conditions at enrollment, including KD, which was consistent with the overall population. A favorable benefit-risk profile was reported in randomized and observational studies. Studies evaluating the effectiveness of the zoster live-attenuated vaccine (ZVL) found a lower risk of HZ in patients with ESRD immunized against HZ compared to unvaccinated individuals. In many countries, vaccination guidelines specifically recommended immunization of people with KD to protect against HZ. However, ZVL is contraindicated for immunocompromised (e.g. kidney transplant) patients. Conclusion Findings indicate that HZ has a significant HZ burden across the KD spectrum, which may negatively impact renal disease progression. With effective vaccines offering durable protection against HZ and its complications, the immunization of renal patients at earlier stages could enhance healthcare management and patient outcomes.

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)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0120.014
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.008
GPT teacher head0.263
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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