IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-54009-3.html
   My bibliography  Save this article

Healthcare utilization, mortality, and cardiovascular events following GLP1-RA initiation in chronic kidney disease

Author

Listed:
  • Shuyao Zhang

    (University of Texas Southwestern Medical Center)

  • Fnu Sidra

    (University of Texas Southwestern Medical Center
    The Jones Center for Diabetes & Endocrine Wellness)

  • Carlos A. Alvarez

    (Texas Tech University Health Science Center)

  • Mustafa Kinaan

    (UCF HCA Healthcare GME
    University of Central Florida, College of Medicine)

  • Ildiko Lingvay

    (University of Texas Southwestern Medical Center
    University of Texas Southwestern Medical Center)

  • Ishak A. Mansi

    (University of Central Florida, College of Medicine
    Orlando VA Healthcare System)

Abstract

Treatment with glucagon-like peptide-1 receptor agonists (GLP1-RA) in patients with type 2 diabetes (T2D) and chronic kidney disease (CKD) may attenuate kidney disease progression and cardiovascular events but their real-world impact on healthcare utilization and mortality in this population are not well-defined. Here, we emulate a clinical trial that compares outcomes following initiation of GLP1-RA vs Dipeptidyl peptidase-4 inhibitors (DPP4i), as active comparators, in U.S. veterans aged 35 years of older with moderate to advanced CKD during fiscal years 2006 to 2021. Primary outcome was rate of acute healthcare utilization. Secondary outcomes were all-cause mortality and a composite of acute cardiovascular events. After propensity score matching (16,076 pairs) and 2.2 years mean follow-up duration, use of GLP1-RA in patients with moderate to advanced CKD was associated with lower annual rate of acute healthcare utilization and all-cause mortality. There was no significant difference in acute cardiovascular events.

Suggested Citation

  • Shuyao Zhang & Fnu Sidra & Carlos A. Alvarez & Mustafa Kinaan & Ildiko Lingvay & Ishak A. Mansi, 2024. "Healthcare utilization, mortality, and cardiovascular events following GLP1-RA initiation in chronic kidney disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54009-3
    DOI: 10.1038/s41467-024-54009-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-54009-3
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-54009-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hsiu-Lan Li & Pei-Hui Tai & Yi-Ting Hwang & Shih-Wei Lin & Li-Ching Lan, 2022. "Causes of Hospitalization among End-Stage Kidney Disease Cohort before and after Hemodialysis," IJERPH, MDPI, vol. 19(16), pages 1-13, August.
    2. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    2. Paolo Naticchioni & Silvia Loriga, 2011. "Short and Long Term Evaluations of Public Employment Services in Italy," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(3), pages 201-229.
    3. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    4. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    5. Amarendra Sharma, 2019. "Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching," ASARC Working Papers 2019-05, The Australian National University, Australia South Asia Research Centre.
    6. Katchova, Ani L., 2010. "Agricultural Contracts and Alternative Marketing Options: A Matching Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(2), pages 1-16, May.
    7. Hirota, Haruaki & Iwata, Kazuyuki & Tanaka, Kenta, 2022. "Is public official training effective at reducing costs? Evidence from survey data on Japanese municipal mergers," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 145-158.
    8. Bemile, Esther & Anders, Sven M., 2014. "Linking Diet-Health Behaviour and Obesity using Propensity Score Matching," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182832, European Association of Agricultural Economists.
    9. Kalaj, Ermira Hoxha, 2009. "Do Remittances Alter Labor Market Participation? A Study of Albania," MPRA Paper 48271, University Library of Munich, Germany.
    10. Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    11. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    12. Shapiro, Joseph & Trevino, Jorge Moreno, 2004. "Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching," Policy Research Working Paper Series 3334, The World Bank.
    13. Li, Linjie & Liu, Xiaming & Yuan, Dong & Yu, Miaojie, 2017. "Does outward FDI generate higher productivity for emerging economy MNEs? – Micro-level evidence from Chinese manufacturing firms," International Business Review, Elsevier, vol. 26(5), pages 839-854.
    14. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    15. Sakaue, Katsuki, 2018. "Informal fee charge and school choice under a free primary education policy: Panel data evidence from rural Uganda," International Journal of Educational Development, Elsevier, vol. 62(C), pages 112-127.
    16. Joan-Ramon Borrell & Juan Luis Jiménez & Carmen García, 2014. "Evaluating Antitrust Leniency Programs," Journal of Competition Law and Economics, Oxford University Press, vol. 10(1), pages 107-136.
    17. Domadenik, Polona & Far?nik, Daša & Pastore, Francesco, 2013. "Horizontal Mismatch in the Labour Market of Graduates: The Role of Signalling," IZA Discussion Papers 7527, Institute of Labor Economics (IZA).
    18. Francesco Serti & Chiara Tomasi, 2008. "Self-Selection and Post-Entry Effects of Exports: Evidence from Italian Manufacturing Firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(4), pages 660-694, December.
    19. Marusca De Castris & Guido Pellegrini, 2015. "Neighborhood Effects On The Propensity Score Matching," Working Papers 0515, CREI Università degli Studi Roma Tre, revised 2015.
    20. Asad K. Ghalib & Issam Malki & Katsushi S. Imai, 2012. "Microfinance and its role in household poverty reduction: findings from Pakistan," Global Development Institute Working Paper Series 17312, GDI, The University of Manchester.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-54009-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.