IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i14p4922-d381852.html
   My bibliography  Save this article

Interrelationship among Obstructive Sleep Apnea, Renal Function and Survival: A Cohort Study

Author

Listed:
  • Patrizia Pochetti

    (Respiratory Unit, Sant’ Andrea Hospital, 13100 Vercelli, Italy)

  • Danila Azzolina

    (Department of Traslational Medicine, University of Eastern Piedmont, 28100 Novara, Italy)

  • Beatrice Ragnoli

    (Respiratory Unit, Sant’ Andrea Hospital, 13100 Vercelli, Italy
    Department of Traslational Medicine, University of Eastern Piedmont, 28100 Novara, Italy)

  • Paolo Amedeo Tillio

    (Respiratory Unit, Sant’ Andrea Hospital, 13100 Vercelli, Italy
    Department of Traslational Medicine, University of Eastern Piedmont, 28100 Novara, Italy)

  • Vincenzo Cantaluppi

    (Department of Traslational Medicine, Nephrology and Kidney Transplant Unit, University of Eastern Piedmont, 28100 Novara, Italy)

  • Mario Malerba

    (Respiratory Unit, Sant’ Andrea Hospital, 13100 Vercelli, Italy
    Department of Traslational Medicine, University of Eastern Piedmont, 28100 Novara, Italy)

Abstract

Previous studies showed a bidirectional relationship between renal function decline and obstructive sleep apnea (OSA) syndrome. Continuous Positive Airway Pressure (C-PAP) treatment was shown to preserve the kidney function in OSA patients. This study aims to investigate the progression of long-term renal function in OSA patients treated with different PAP strategies (patients were divided into two groups, fixed C-PAP or other PAP—automatic and bilevel pressure). Comorbidities and 10-years survival were also evaluated. We performed a retrospective, observational, single-center, cohort study, including the first 40 consecutive patients enrolled from 2009 in the Respiratory disease Unit at the Vercelli University Hospital database. The patient inclusion criteria were: age ≥ 18 years with OSA syndrome according to AASM (American Academy of Sleep Medicine) guidelines. Creatinine serum levels (mg/dL) and the estimated Glomerular Filtration Rate (eGFR, mL/min calculated by CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration equation)) were measured at 3 different time points: at baseline, 3 years and 8 years after PAP treatment. The Kaplan–Meier survival curves stratified according to PAP treatment and compliance have been reported together with log-rank test estimation. In our study, we found a significant creatinine serum level reduction after 3 years of fixed C-PAP treatment ( p value = 0.006) when compared to baseline values. However, we observed that the long-term C-PAP benefit was not significant ( p value = 0.060). Our data confirmed the progressive renal function decline in OSA patients, especially in those using other-PAP treatments; nevertheless, OSA treatment with a fixed C-PAP device has shown, in the short term, a significant improvement in renal function. By contrast, in our study, long-term benefits after 8 years are not been demonstrated probably because of the lack of compliance of the patients and the aging effect.

Suggested Citation

  • Patrizia Pochetti & Danila Azzolina & Beatrice Ragnoli & Paolo Amedeo Tillio & Vincenzo Cantaluppi & Mario Malerba, 2020. "Interrelationship among Obstructive Sleep Apnea, Renal Function and Survival: A Cohort Study," IJERPH, MDPI, vol. 17(14), pages 1-12, July.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:4922-:d:381852
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/14/4922/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/14/4922/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christian Bressen Pipper & Christian Ritz & Hans Bisgaard, 2012. "A versatile method for confirmatory evaluation of the effects of a covariate in multiple models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(2), pages 315-326, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Beatrice Ragnoli & Patrizia Pochetti & Alberto Raie & Mario Malerba, 2021. "Comorbid Insomnia and Obstructive Sleep Apnea (COMISA): Current Concepts of Patient Management," IJERPH, MDPI, vol. 18(17), pages 1-15, September.

    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. Brice Ozenne & Esben Budtz-Jørgensen & Sebastian Elgaard Ebert, 2023. "Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model," Computational Statistics, Springer, vol. 38(1), pages 1-23, March.
    2. Paul Blanche & Jean‐François Dartigues & Jérémie Riou, 2022. "A closed max‐t test for multiple comparisons of areas under the ROC curve," Biometrics, The International Biometric Society, vol. 78(1), pages 352-363, March.
    3. Signe M Jensen & Hanne Hauger & Christian Ritz, 2018. "Mediation analysis for logistic regression with interactions: Application of a surrogate marker in ophthalmology," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-7, February.
    4. Klingenberg, Bernhard & Satopää, Ville, 2013. "Simultaneous confidence intervals for comparing margins of multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 87-98.
    5. Christian Ritz & Rikke Pilmann Laursen & Camilla Trab Damsgaard, 2017. "Simultaneous inference for multilevel linear mixed models—with an application to a large-scale school meal study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 295-311, February.
    6. Holger Dette & Laura Hoyden & Sonja Kuhnt & Kirsten Schorning, 2017. "Optimal designs for thermal spraying," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 53-72, January.
    7. Frank Schaarschmidt & Christian Ritz & Ludwig A. Hothorn, 2022. "The Tukey trend test: Multiplicity adjustment using multiple marginal models," Biometrics, The International Biometric Society, vol. 78(2), pages 789-797, June.
    8. Signe M. Jensen & Christian Ritz, 2015. "Simultaneous Inference for Model Averaging of Derived Parameters," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 68-76, January.
    9. Giulia Lorenzoni & Danila Azzolina & Chiara Fraccaro & Caterina Zoccarato & Clara Minto & Sabino Iliceto & Dario Gregori & Giuseppe Tarantini, 2021. "Sleep Quality in Patients Undergoing Transcatheter Aortic Valve Implantation (TAVI)," IJERPH, MDPI, vol. 18(16), pages 1-9, August.

    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:gam:jijerp:v:17:y:2020:i:14:p:4922-:d:381852. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.