Diabetes Metab J.  2024 Mar;48(2):242-252. 10.4093/dmj.2023.0201.

Abrupt Decline in Estimated Glomerular Filtration Rate after Initiating Sodium-Glucose Cotransporter 2 Inhibitors Predicts Clinical Outcomes: A Systematic Review and Meta-Analysis

Affiliations
  • 1Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
  • 2Division of Nephrology, Department of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
  • 3Taipei Medical University Research Center of Urology and Kidney, Taipei, Taiwan
  • 4Division of Nephrology, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan
  • 5Department of Health and Nutrition, Chia Nan University of Pharmacy and Science, Tainan, Taiwan
  • 6Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan
  • 7Division of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
  • 8Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
  • 9Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
  • 10Division of Nephrology, Department of Medicine, University of Michigan, Ann Arbor, MI, USA

Abstract

Background
The initiation of sodium-glucose cotransporter-2 inhibitors (SGLT2i) typically leads to a reversible initial dip in estimated glomerular filtration rate (eGFR). The implications of this phenomenon on clinical outcomes are not well-defined.
Methods
We searched MEDLINE, Embase, and Cochrane Library from inception to March 23, 2023 to identify randomized controlled trials and cohort studies comparing kidney and cardiovascular outcomes in patients with and without initial eGFR dip after initiating SGLT2i. Pooled estimates were calculated using random-effect meta-analysis.
Results
We included seven studies in our analysis, which revealed that an initial eGFR dip following the initiation of SGLT2i was associated with less annual eGFR decline (mean difference, 0.64; 95% confidence interval [CI], 0.437 to 0.843) regardless of baseline eGFR. The risk of major adverse kidney events was similar between the non-dipping and dipping groups but reduced in patients with a ≤10% eGFR dip (hazard ratio [HR], 0.915; 95% CI, 0.865 to 0.967). No significant differences were observed in the composite of hospitalized heart failure and cardiovascular death (HR, 0.824; 95% CI, 0.633 to 1.074), hospitalized heart failure (HR, 1.059; 95% CI, 0.574 to 1.952), or all-cause mortality (HR, 0.83; 95% CI, 0.589 to 1.170). The risk of serious adverse events (AEs), discontinuation of SGLT2i due to AEs, kidney-related AEs, and volume depletion were similar between the two groups. Patients with >10% eGFR dip had increased risk of hyperkalemia compared to the non-dipping group.
Conclusion
Initial eGFR dip after initiating SGLT2i might be associated with less annual eGFR decline. There were no significant disparities in the risks of adverse cardiovascular outcomes between the dipping and non-dipping groups.

Keyword

Diabetes mellitus, type 2; Glomerular filtration rate; Kidney; Sodium-glucose transporter 2 inhibitors

Figure

  • Fig. 1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram of study selection for the current systematic review.

  • Fig. 2. Forest plot showing difference in slope of annual estimated glomerular filtration rate (eGFR) decline between the dipping and non-dipping groups. SD, standard deviation; IV, inverse variance; CI, confidence interval.

  • Fig. 3. Forest plot illustrating the comparison of major kidney adverse events between the dipping and non-dipping groups. HR, hazard ratio; SE, standard error; IV, inverse variance; CI, confidence interval; eGFR, estimated glomerular filtration rate.

  • Fig. 4. Comparisons of cardiovascular (CV) outcomes, all-cause death and adverse events (AEs) between the dipping and non-dipping groups. HR, hazard ratio; CI, confidence interval; HHF, hospitalized heart failure; OR, odds ratio; SGLT2i, sodium-glucose cotransporter-2 inhibitor.


Reference

1. Heerspink HJL, Stefansson BV, Correa-Rotter R, Chertow GM, Greene T, Hou FF, et al. Dapagliflozin in patients with chronic kidney disease. N Engl J Med. 2020; 383:1436–46.
Article
2. Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJ, Charytan DM, et al. Canagliflozin and renal outcomes in type 2 diabetes and nephropathy. N Engl J Med. 2019; 380:2295–306.
Article
3. Nuffield Department of Population Health Renal Studies Group; SGLT2 inhibitor Meta-Analysis Cardio-Renal Trialists’ Consortium. Impact of diabetes on the effects of sodium glucose cotransporter-2 inhibitors on kidney outcomes: collaborative meta-analysis of large placebo-controlled trials. Lancet. 2022; 400:1788–801.
4. Donnan JR, Grandy CA, Chibrikov E, Marra CA, Aubrey-Bassler K, Johnston K, et al. Comparative safety of the sodium glucose co-transporter 2 (SGLT2) inhibitors: a systematic review and meta-analysis. BMJ Open. 2019; 9:e022577.
Article
5. Lo KB, Gul F, Ram P, Kluger AY, Tecson KM, McCullough PA, et al. The effects of SGLT2 inhibitors on cardiovascular and renal outcomes in diabetic patients: a systematic review and meta-analysis. Cardiorenal Med. 2020; 10:1–10.
Article
6. Zelniker TA, Wiviott SD, Raz I, Im K, Goodrich EL, Bonaca MP, et al. SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials. Lancet. 2019; 393:31–9.
Article
7. Toyama T, Neuen BL, Jun M, Ohkuma T, Neal B, Jardine MJ, et al. Effect of SGLT2 inhibitors on cardiovascular, renal and safety outcomes in patients with type 2 diabetes mellitus and chronic kidney disease: a systematic review and meta-analysis. Diabetes Obes Metab. 2019; 21:1237–50.
Article
8. Petrie MC, Verma S, Docherty KF, Inzucchi SE, Anand I, Belohlavek J, et al. Effect of dapagliflozin on worsening heart failure and cardiovascular death in patients with heart failure with and without diabetes. JAMA. 2020; 323:1353–68.
Article
9. Oshima M, Jardine MJ, Agarwal R, Bakris G, Cannon CP, Charytan DM, et al. Insights from CREDENCE trial indicate an acute drop in estimated glomerular filtration rate during treatment with canagliflozin with implications for clinical practice. Kidney Int. 2021; 99:999–1009.
Article
10. Cherney DZ, Charbonnel B, Cosentino F, Dagogo-Jack S, McGuire DK, Pratley R, et al. Effects of ertugliflozin on kidney composite outcomes, renal function and albuminuria in patients with type 2 diabetes mellitus: an analysis from the randomised VERTIS CV trial. Diabetologia. 2021; 64:1256–67.
Article
11. Kraus BJ, Weir MR, Bakris GL, Mattheus M, Cherney DZ, Sattar N, et al. Characterization and implications of the initial estimated glomerular filtration rate ‘dip’ upon sodium-glucose cotransporter-2 inhibition with empagliflozin in the EMPA-REG OUTCOME trial. Kidney Int. 2021; 99:750–62.
Article
12. Tonneijck L, Muskiet MH, Smits MM, van Bommel EJ, Heerspink HJ, van Raalte DH, et al. Glomerular hyperfiltration in diabetes: mechanisms, clinical significance, and treatment. J Am Soc Nephrol. 2017; 28:1023–39.
Article
13. Vallon V, Komers R. Pathophysiology of the diabetic kidney. Compr Physiol. 2011; 1:1175–232.
Article
14. Thomson SC, Vallon V. Effects of SGLT2 inhibitor and dietary NaCl on glomerular hemodynamics assessed by micropuncture in diabetic rats. Am J Physiol Renal Physiol. 2021; 320:F761–71.
Article
15. Cherney DZ, Perkins BA, Soleymanlou N, Maione M, Lai V, Lee A, et al. Renal hemodynamic effect of sodium-glucose cotransporter 2 inhibition in patients with type 1 diabetes mellitus. Circulation. 2014; 129:587–97.
Article
16. Kidokoro K, Cherney DZ, Bozovic A, Nagasu H, Satoh M, Kanda E, et al. Evaluation of glomerular hemodynamic function by empagliflozin in diabetic mice using in vivo imaging. Circulation. 2019; 140:303–15.
Article
17. Wanner C, Inzucchi SE, Lachin JM, Fitchett D, von Eynatten M, Mattheus M, et al. Empagliflozin and progression of kidney disease in type 2 diabetes. N Engl J Med. 2016; 375:323–34.
Article
18. Vallon V, Thomson SC. The tubular hypothesis of nephron filtration and diabetic kidney disease. Nat Rev Nephrol. 2020; 16:317–36.
Article
19. Jongs N, Chertow GM, Greene T, McMurray JJV, Langkilde AM, Correa-Rotter R, et al. Correlates and consequences of an acute change in eGFR in response to the SGLT2 inhibitor dapagliflozin in patients with CKD. J Am Soc Nephrol. 2022; 33:2094–107.
Article
20. Zannad F, Ferreira JP, Gregson J, Kraus BJ, Mattheus M, Hauske SJ, et al. Early changes in estimated glomerular filtration rate post-initiation of empagliflozin in EMPEROR-Reduced. Eur J Heart Fail. 2022; 24:1829–39.
21. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021; 372:n71.
22. Ottawa Hospital Research Institute: Newcastle-Ottawa quality assessment scale case control studies. Available from: https://www.ohri.ca/programs/clinical_epidemiology/nosgen.pdf (cited 2023 Oct 17).
23. Lo CK, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol. 2014; 14:45.
Article
24. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008; 336:924–6.
Article
25. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003; 327:557–60.
Article
26. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page M, et al. Cochrane handbook for systematic reviews of interventions version 6.3, 2022 (updated February 2022). Available from: https://training.cochrane.org/handbook/archive/v6.3 (cited 2023 Oct 17).
27. Adamson C, Docherty KF, Heerspink HJ, de Boer RA, Damman K, Inzucchi SE, et al. Initial decline (Dip) in estimated glomerular filtration rate after initiation of dapagliflozin in patients with heart failure and reduced ejection fraction: insights from DAPA-HF. Circulation. 2022; 146:438–49.
Article
28. Chan YH, Chen SW, Chao TF, Kao YW, Huang CY, Chu PH. Impact of the initial decline in estimated glomerular filtration rate on the risk of new-onset atrial fibrillation and adverse cardiovascular and renal events in patients with type 2 diabetes treated with sodium-glucose co-transporter-2 inhibitors. Diabetes Obes Metab. 2021; 23:2077–89.
Article
29. Cherney DZ, Cosentino F, Dagogo-Jack S, McGuire DK, Pratley RE, Frederich R, et al. Initial eGFR changes with ertugliflozin and associations with clinical parameters: analyses from the VERTIS CV trial. Am J Nephrol. 2022; 53:516–25.
Article
30. Sugiyama S, Yoshida A, Hieshima K, Kurinami N, Jinnouchi K, Tanaka M, et al. Initial acute decline in estimated glomerular filtration rate after sodium-glucose cotransporter-2 inhibitor in patients with chronic kidney disease. J Clin Med Res. 2020; 12:724–33.
Article
31. van Bommel EJ, Muskiet MH, van Baar MJ, Tonneijck L, Smits MM, Emanuel AL, et al. The renal hemodynamic effects of the SGLT2 inhibitor dapagliflozin are caused by post-glomerular vasodilatation rather than pre-glomerular vasoconstriction in metformin-treated patients with type 2 diabetes in the randomized, double-blind RED trial. Kidney Int. 2020; 97:202–12.
Article
32. Skrtic M, Yang GK, Perkins BA, Soleymanlou N, Lytvyn Y, von Eynatten M, et al. Characterisation of glomerular haemodynamic responses to SGLT2 inhibition in patients with type 1 diabetes and renal hyperfiltration. Diabetologia. 2014; 57:2599–602.
Article
33. Bailey CJ, Day C, Bellary S. Renal protection with SGLT2 inhibitors: effects in acute and chronic kidney disease. Curr Diab Rep. 2022; 22:39–52.
Article
34. Cheung AK, Rahman M, Reboussin DM, Craven TE, Greene T, Kimmel PL, et al. Effects of intensive BP control in CKD. J Am Soc Nephrol. 2017; 28:2812–23.
Article
35. Malhotra R, Craven T, Ambrosius WT, Killeen AA, Haley WE, Cheung AK, et al. Effects of intensive blood pressure lowering on kidney tubule injury in CKD: a longitudinal subgroup analysis in SPRINT. Am J Kidney Dis. 2019; 73:21–30.
Article
36. Hunter RW, Bailey MA. Hyperkalemia: pathophysiology, risk factors and consequences. Nephrol Dial Transplant. 2019; 34(Suppl 3):iiI2–11.
Article
Full Text Links
  • DMJ
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr