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Association Between Glycemic Control and Adverse Outcomes in People With Diabetes Mellitus and Chronic Kidney Disease

2011· article· en· W2117864471 on OpenAlexaffabout
Sabin Shurraw

Bibliographic record

VenueArchives of Internal Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Kidney Disease and Diabetes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineGlycemicRenal functionKidney diseaseInternal medicineDiabetes mellitusCreatinineNephropathyProportional hazards modelDiabetic nephropathyEndocrinology

Abstract

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BACKGROUND: Better glycemic control as reflected by lower hemoglobin A(1c) (HbA(1c)) level may prevent or slow progression of nephropathy in people with diabetes mellitus (DM). Whether a lower HbA(1c) level improves outcomes in people with DM and chronic kidney disease (CKD) is unknown. METHODS: From all people with serum creatinine measured as part of routine care in a single Canadian province from 2005 through 2006, we identified those with CKD based on laboratory data (estimated glomerular filtration rate [eGFR], <60.0 mL/min/1.73 m(2)]) and DM using a validated algorithm applied to hospitalization and claims data. Patients were classified based on their first HbA(1c) measurement; Cox regression models were used to assess independent associations between HbA(1c) level and 5 study outcomes (death, progression of kidney disease based on a doubling of serum creatinine level, or new end-stage renal disease [ESRD], cardiovascular events, all-cause hospitalization). RESULTS: We identified 23,296 people with DM and an eGFR lower than 60.0 mL/min/1.73 m(2). The median HbA(1c) level was 6.9% (range, 2.8%-20.0%), and 11% had an HbA(1c) value higher than 9%. Over the median follow-up period of 46 months, 3665 people died, and 401 developed ESRD. Regardless of baseline eGFR, a higher HbA(1c) level was strongly and independently associated with excess risk of all 5 outcomes studied (P < .001 for all comparisons). However, the association with mortality was U-shaped, with increases in the risk of mortality apparent at HbA(1c) levels lower than 6.5% and higher than 8.0%. The increased risk of ESRD associated with a higher HbA(1c) level was attenuated at a lower baseline eGFR (P value for interaction, <.001). Specifically, among those with an eGFR of 30.0 to 59.9 mL/min/1.73 m(2), the risk of ESRD was increased by 22% and 152% in patients with HbA(1c) levels of 7% to 9% and higher than 9%, respectively, compared with patients with an HbA(1c) level lower than 7% (P < .001), whereas corresponding increases were 3% and 13%, respectively, in those with an eGFR of 15.0 to 29.9 mL/min/1.73 m(2). CONCLUSIONS: A hemoglobin A(1c) level higher than 9% is common in people with non-hemodialysis-dependent CKD and is associated with markedly worse clinical outcomes; lower levels of HbA(1c) (<6.5%) also seemed to be associated with excess mortality. The excess risk of kidney failure associated with a higher HbA(1c) level was most pronounced among people with better kidney function. These findings suggest that appropriate and timely control of HbA(1c) level in people with DM and CKD may be more important than previously realized, but suggest also that intensive glycemic control (HbA(1c) level <6.5%) may be associated with increased mortality.

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)0.001
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 score0.013
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.231
Teacher spread0.225 · 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

Citations267
Published2011
Admission routes2
Has abstractyes

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