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Record W4398252150 · doi:10.1093/ndt/gfae069.038

#2766 Impact of CKD screening in high-risk populations and guideline-directed therapy on CV event occurrence and costs in Europe: an IMPACT CKD analysis

2024· article· en· W4398252150 on OpenAlexaff
Naveen Rao, Hannah Guiang, Stacey Priest, Stephen Brown, Cole Wyman, Navdeep Tangri, Steven J. Chadban

Bibliographic record

VenueNephrology Dialysis Transplantation · 2024
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsUniversity of ManitobaEVERSANA (Canada)
Fundersnot available
KeywordsGuidelineMedicineEvent (particle physics)Pathology

Abstract

fetched live from OpenAlex

Abstract Background and Aims Chronic kidney disease (CKD) is a growing health problem in Europe exacerbated by aging and the rise of comorbidities such as diabetes mellitus (DM) and hypertension (HTN). Patients with CKD are often multi-morbid and commonly present with cardiovascular (CV) complications. While CV events including myocardial infarction (MI), stroke, and hospitalization for heart failure (HHF) occur more often in patients with advanced CKD, patients with early-stage CKD are also at increased risk. Patients with CKD also experience an increased risk of CV-related mortality, with many patients dying from CV events prior to kidney failure and renal replacement therapy. CV events also present a significant burden to clinicians and healthcare systems due to the high costs and resource use required to manage and treat them. Despite this multidimensional burden, CKD is currently underdiagnosed in Europe, and CKD screening and treatment are rarely included in public health strategies to improve mortality and health outcomes. This study aims to explore the impact of targeted CKD screening followed by guideline-directed therapy in high-risk populations on CV event occurrence and associated treatment costs across Europe. Method The IMPACT CKD microsimulation model simulates CKD progression, CV events, and comorbidities. CKD status is assigned based on estimated glomerular filtration rate (eGFR) and urine albumin-creatinine ratio levels (UACR), and CKD progression is predicted by an annual eGFR decline rate. The model was used to compare two scenarios in four country populations (Germany, Netherlands, Spain, United Kingdom [UK]): 1) targeted screening for people with DM and/or HTN followed by optimal compliance to guideline-directed therapy and 2) current practice (no screening, underdiagnosis, low treatment rates). Annual targeted screening assumed both eGFR and UACR testing. Treatment initiation for people diagnosed with CKD was based on Kidney Disease Improving Global Outcomes guidelines with a 90% compliance assumed to approximate maximum clinical benefit. Therapies were assumed to have a multiplicative treatment effect on eGFR decline and CV events. Current practice assumed observed diagnosis rates without screening and observed treatment rates in each country. For both scenarios, the model projected incidence of CV events and associated management costs in year 10 (2032) and cumulatively over the 10 simulated years (2023-2032). Results Results compare the targeted screening followed by guideline-directed treatment scenario to continuation of current practices for Germany, Netherlands, Spain, and UK (Table 1). The timely diagnosis of patients with CKD and effective treatment was associated with a reduction of 46.7-53.3%, 38.9-41.6%, and 42.1-50.5% in the number of MI, stroke, and HHF events, respectively in 2032 across the four countries. These decreases in the number of CV events were accompanied by proportional reductions in costs to treat the events. Additionally, this policy approach resulted in declines in the cumulative 10-year CV event development and associated healthcare costs, with MI having the largest reductions (40.6-47.2%), followed by HHF (37.4-43.0%), and stroke (29.8-36.1%) across the four countries. Conclusion This study illustrated that early identification of high-risk patients with CKD coupled with guideline-directed treatment would yield substantial clinical and economic benefits from reducing CV events across all four European countries. Fewer MI, stroke, and HHF events were projected in patients with CKD in both 2032 and cumulatively from 2023 to 2032 due to delayed disease progression following effective interventions. Driven by the reduced clinical burden, lower healthcare costs for CV event management were also predicted. These findings support the need for the adoption of policies for early diagnosis and treatment of CKD to slow disease progression and mitigate the growing CV disease burden among patients with CKD and for health systems. Future studies should explore the costs associated with targeted CKD screening and the guideline-directed pharmacological therapies for CKD.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.033
GPT teacher head0.382
Teacher spread0.349 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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