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Record W2804081346 · doi:10.1093/ndt/gfy104.sp340

SP340IS LOW HEMOGLOBIN AT HEMODIALYSIS INITIATION ASSOCIATED WITH FIRST-YEAR SURVIVAL AMONG PATIENTS TREATED TO TARGET LEVELS SOON AFTER DIALYSIS START?

2018· article· en· W2804081346 on OpenAlexaff
Angelo Karaboyas, Hal Morgenstern, Ronald L. Pisoni, Sandra Waechter, Raymond Vanholder, Stefan H. Jacobson, Masaaki Inaba, Manish M. Sood, Friedrich K. Port, Bruce Robinson

Bibliographic record

VenueNephrology Dialysis Transplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineHemodialysisDialysisHemoglobinInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

INTRODUCTION AND AIMS: Many patients initiate hemodialysis (HD) with low hemoglobin (Hgb) levels and receive intense therapy during the early HD period to achieve Hgb targets. Management of anemia before the start of HD may improve survival after dialysis start by avoiding the potential lingering harm of chronic anemia and/or avoiding high doses of ESA and IV iron in the early months of HD. To test this hypothesis, we investigated the association between low vs. target Hgb at HD start and mortality through 1 year of HD among patients with target Hgb at 4 months. METHODS: We analyzed incident HD patients from 21 countries in phases 4-5 (2009-2015) of the Dialysis Outcomes and Practice Patterns Study (DOPPS). Cox regression was used to estimate the association between Hgb measured within 30 days (month 1) of starting HD and mortality from month 4 through month 12 among patients with Hgb ≥ 10 g/dL at month 4. Models were stratified by DOPPS phase and country and adjusted for potential confounders. IV iron and ESA dose over the first 90 days of HD were added to the model in a sensitivity analysis because these factors may be on the causal pathway between low month 1 Hgb and death after month 4. RESULTS: The study population consisted of 4461 HD patients with Hgb ≥ 10 g/dL at month 4; at month 1, 80% had Hgb < 11 g/dL and 53% had Hgb < 10 g/dL. Compared to patients with Hgb <11 g/dL, patients with Hgb ≥11 g/dL at month 1 were older, more likely male, had higher albumin and lower TSAT, but did not have a lower burden of comorbidities. Hgb at month 1 was inversely associated with first-year mortality (adjusted HR for 1 g/dL higher Hgb = 0.89; 95% CI: 0.82-0.96) despite minimal differences in Hgb at month 4 (see Table, where Hgb is categorized). Patients with lower Hgb at month 1 received greater ESA doses over the first 3 months of HD and achieved the largest Hgb increases over these 3 months. In contrast, mean IV iron dose over the first 3 months varied much less by month 1 Hgb level. Additional adjustment for ESA and IV iron doses over the first 3 months of HD had minimal impact on the mortality HR = 0.90 (95% CI: 0.82-1.00). CONCLUSIONS: These results support our hypothesis that management of anemia before the start of HD may improve survival during the first year of HD treatment. High doses of ESA and IV iron did not appear to explain the association between low Hgb and mortality, though a more formal mediation analysis is required. A limitation of this analysis is the lack of available data on pre-HD treatment with ESA or iron; we also cannot rule out residual confounding due to better health status and/or pre-HD care in patients who start HD with higher Hgb.

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)0.005
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.222
Teacher spread0.212 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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