MétaCan
Menu
Back to cohort
Record W4396992094 · doi:10.1681/asn.20213210s1812c

Association of Serum Bicarbonate with Incident Gout in Patients with Advanced CKD

2021· article· en· W4396992094 on OpenAlexaff
Nancy L. Reaven, Susan E. Funk, Vandana Mathur, Thomas W. Ferguson, Navdeep Tangri

Bibliographic record

VenueJournal of the American Society of Nephrology · 2021
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGoutMedicineInternal medicineBicarbonateIntensive care medicine

Abstract

fetched live from OpenAlex

Background: Patients with CKD are at increased risk for gout and alkalinization solubilizes uric acid. We sought to determine if baseline bicarbonate or change in bicarbonate was an independent predictor of incident gout in patients with CKD stages 3-5. Methods: Optum's de-identified Integrated Claims-Clinical dataset of US patients (2007-2019) was queried to identify patients with non-dialysis CKD stages 3-5 with 2 consecutive serum bicarbonate values 12 to <30 mEq/L, 28-365 days apart, with data ≥1 year prior and ≥2 years of post-index or death within 2 years. Patients without pre-existing gout were followed for up to 11.5 years for diagnosed incident gout (ICD-9 or ICD-10 diagnosis codes 274.** excluding 274.11, M10.* or M1A). Cox proportional hazards models were used to examine predictors of incident gout, controlling for demographic characteristics as well as BMI, time-dependent change in serum bicarbonate; and baseline covariates eGFR, serum bicarbonate, hypertriglyceridemia, hypercholesterolemia, hyperuricemia, high c-reactive protein, hypertension, diabetes, obstructive sleep apnea, irritable bowel syndrome, inflammatory bowel disease, Charlson Comorbidity score, and prescriptions for thiazide diuretics or metoprolol. Death was similarly evaluated as a competing risk. Results: 125,551/136,067 patients (92%) had no evidence of gout during the pre-index period. During the period up to 11.5-years of follow-up (median 4.2 years), the following covariates were most strongly associated with incident gout: male sex (HR 1.69, 95% CI:1.63-1.76), Black or Asian race (HR 1.52, 95% CI:1.44-1.60 and HR 1.47, CI:1.23-1.75), and hyperuricemia (HR 1.40, 95% CI:1.27-1.55). Hispanic ethnicity (HR 0.82, 95% CI:0.73-0.92), low-income status (HR 0.90, 95% CI:0.85-0.94), higher baseline eGFR (HR 0.98, 95% CI:0.979-0.983, and lower overall comorbidity burden (HR 0.98, 95% CI:0.97-0.99) were associated with a lower risk of gout. Baseline serum bicarbonate and time-dependent change in serum bicarbonate were not associated with incident gout. Conclusions: In this longitudinal analysis of patients with CKD, serum bicarbonate was not associated with the development of gout. Funding: Commercial Support - Tricida, Inc.

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)0.000
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 score0.029
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.225
Teacher spread0.221 · 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Society of NephrologySame topicRenal function and acid-base balanceFrench-language works237,207