Initial Acute Decline in Estimated Glomerular Filtration Rate After Sodium-Glucose Cotransporter-2 Inhibitor in Patients With Chronic Kidney Disease
Bibliographic record
Abstract
Background: Renal function deterioration accompanied by an acute decrease in estimated glomerular filtration rate (eGFR) was observed early after starting sodium-glucose cotransporter-2 inhibitor (SGLT2i) therapy. It is unclear how much and how frequently the initial acute decline in eGFR (IAD-eGFR) would occur after SGLT2i administration, and the effects of IAD-eGFR on subsequent renal function are unknown in type 2 diabetes mellitus (T2DM) patients with chronic kidney disease (CKD). Methods: We retrospectively recruited T2DM patients with CKD (stage 3b; 30 ? eGFR < 45 mL/min/1.73 m 2 ) and who were newly treated with add-on SGLT2i. We further investigated the effects of SGLT2i therapy on eGFR early after starting treatment (1 - 3 months) and after 6 months of treatment. We examined the factors associated with a large IAD-eGFR (? 10%) using logistic regression analyses. Results: Eighty-seven patients (male, 74.7%; mean age, 69.8 years; median hemoglobin A1c, 7.3%; mean eGFR, 37.8 mL/min/1.73 m 2 ) were analyzed. The mean minimum eGFR early after SGLT2i administration was 34.9 mL/min/1.73 m 2 , which was significantly lower than before treatment (mean, -7.7%). Seventy patients (80.5%) had IAD-eGFR, and 36 patients (41.4%) had a large IAD-eGFR (? 10%). Overall, the mean eGFR was 38.2 at 6 months after starting SGLT2i administration. In patients with a large IAD-eGFR (? 10%), the eGFR decreased by 72.2% at 6 months to 35.5 mL/min/1.73 m 2 , showing a significant decline from the pretreatment value. In patients without a large IAD-eGFR, eGFR increased by 66.7% at 6 months to 40.0 mL/min/1.73 m 2 . Multiple logistic regression analysis showed that patients with a large IAD-eGFR had a significant association with a high estimated daily salt intake. Conclusions: SGLT2i treatment frequently induced a significant decrease in eGFR early after starting therapy, but eGFR tended to recover after 6 months in T2DM patients with CKD stage 3b. A large IAD-eGFR (? 10%) caused by SGLT2i may lead to subsequent deterioration in renal function, and it was significantly associated with a higher estimated daily salt intake. These results suggest that a more effective renoprotective therapeutic strategy using SGLT2i may be implemented by avoiding the occurrence of a large IAD-eGFR. Further prospective studies are warranted. J Clin Med Res. 2020;12(11):724-733 doi: https://doi.org/10.14740/jocmr4351
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".