Single Center Experience With Sodium-Glucose Co-Transporter-2 Inhibitors (SGLT2i) in Kidney Transplant Recipients With Diabetes
Bibliographic record
Abstract
Background: Sodium-glucose co-tranporter-2 inhibitors have been shown to be safe and effective in patients with type 2 diabetes for improving glycemia. Furthermore large, randomized control trials have shown cardiovascular and renal benefits. However, limited safety and efficacy data is available in kidney transplant patients with diabetes. Objective: To investigate the safety and efficacy of SGLT2i use on stability of renal function in adult kidney transplant recipients (KTR) with type 2 diabetes mellitus (DM2) or New Onset Diabetes After Transplantation (NODAT). Design: We performed a single center, retrospective cohort study pre- and post-SGLT2i exposure. Patients: Adults with DM2 or NODAT who received a living or deceased kidney transplant (Tx) and started on an SGLT2i post-Tx were reviewed. Patients who had type 1 diabetes were excluded. Measurements and Methods: The baseline was the SGLT2i start date. We reviewed available data from 24 months (M) before and after SGLT2i initiation. The primary endpoints were the effects of SGLT2i use on stability of renal function using serum creatinine and eGFR, change in urine albumin excretion(uACR), and glycosylated hemoglobin (A1C). Secondary endpoints compared blood pressure, body mass index and adverse reactions at baseline and quarterly after SGLT2i initiation. Results: 125 KTRs were included in cohort: NODAT (52, 42%), DM2 (73, 58%); female (33, 27%); mean age at Tx 55 years (25-75); LD (56, 45%), DD (69, 55%); mean duration of Tx (6.8 years, 0.1-42.5); study follow-up (1.8 years, 0.3-4.9). The mean eGFR remained stable pre-SGLT2i at 64.6 mL/min/1.73m 2 , vs post at 64.3 mL/min/1.73m 2 . There was no difference in mean A1C after SGLT2i initiation. The slope of uACR using natural log transformation pre-SGLT2i compared with post-SGLT2i slope reduced from +0.7 (0.03, 0.11) to -0.04 (-0.01, -0.35) mg/mmol/3mths ( P = .002). The risk of developing new genital mycotic infections among all patients was 4% (95% CI 1.3%-9.1%) While there was no significant difference in UTI before (13.6%) and after (12%) SGLT2i use ( P = .68), there was a higher risk of UTI seen in patients with a previous history of UTI (23.5%) vs no previous history (10.2%) post initiation. There was no significant increase in AKI pre 8%, post 10.4%, P = .51. There was a single DKA event pre- and post-SGLT2. Limitations: The limitations of this study include its retrospective nonrandomized nature. Conclusion: In this retrospective analysis, SGLT2i use in KTR appears to be safe and efficacious with stable renal function and glycemic control, alongside improvements in uACR. There was a low risk of new genital yeast infections after SGLT2i start. UTI occurrence was higher in patients with a previous history of UTI compared with those with no previous history.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".