4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact of obstructive sleep apnea complicated with type 2 diabetes on long-term cardiovascular risks and all-cause mortality in elderly patients

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The prognostic significance of obstructive sleep apnea (OSA) in elderly patients with type 2 diabetes is unclear. The aim of this study was to determine the risk of cardiovascular disease (CVD) and mortality in elderly patients with OSA complicated with type 2 diabetes compared to patients with OSA without type 2 diabetes.

          Methods

          From January 2015 to October 2017, 1113 eligible elderly patients with OSA, no history of cardiovascular, ≥60 years of age, and complete follow-up records were enrolled in this consecutive multicentre prospective cohort study. All patients had completed polysomnography (PSG) examinations. An apnoea-hypopnoea index of ≥5 events per hour recorded by polysomnography was defined as the diagnostic criterion for OSA. We collected baseline demographics, clinical characteristics, sleep parameters and follow-up outcomes. The primary aim of this study was to identify the risk of incident major adverse cardiovascular events (MACE). Secondary outcomes were all-cause mortality, components of MACE and a composite of all events. Kaplan-Meier survival analysis and Cox proportional hazards models were used to evaluate whether type 2 diabetes was associated with incident events.

          Results

          A total of 266 (23.9%) patients had OSA complicated with type 2 diabetes. MACE occurred in 97 patients during the median 42-month follow-up. Kaplan-Meier survival curves indicated a significant relationship between type 2 diabetes and MACE (log-rank P = 0.003). Multivariable Cox regression analysis showed that type 2 diabetes increased the risk of MACE (HR = 1.64, 95% CI:1.08–2.47, P = 0.019), hospitalisation for unstable angina (HR = 2.11, 95% CI:1.23–3.64, P = 0.007) and a composite of all events in elderly patients with OSA (HR = 1.70, 95% CI:1.17–2.49, P = 0.007). However, there were no significant differences in the incidence of cardiovascular death, all-cause mortality, MI and hospitalisation for heart failure between patients with and without diabetes ( P > 0.05). The subgroup analysis demonstrated that females (AHR = 2.46, 95% CI:1.17–5.19, P = 0.018), ≥ 70 years (AHR = 1.95, 95% CI:1.08–3.52, P = 0.027), overweight and obese (AHR = 2.04, 95% CI:1.29–3.33, P = 0.002) with mild OSA (AHR = 2.42, 95% CI: 1.03–5.71, P = 0.044) were at a higher risk for MACE by diabetes.

          Conclusion

          OSA and type 2 diabetes are interrelated and synergistic with MACE, hospitalisation for unstable angina and a composite of all events development. Overweight and obese females, ≥ 70 years with mild OSA combined with type 2 diabetes presented a significantly high MACE risk.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12877-021-02461-x.

          Related collections

          Most cited references39

          • Record: found
          • Abstract: found
          • Article: not found

          A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

          The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline.

              This guideline establishes clinical practice recommendations for the diagnosis of obstructive sleep apnea (OSA) in adults and is intended for use in conjunction with other American Academy of Sleep Medicine (AASM) guidelines on the evaluation and treatment of sleep-disordered breathing in adults.
                Bookmark

                Author and article information

                Contributors
                qianxs@yahoo.com
                yadxhjm@163.com
                liulin715@qq.com
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                25 September 2021
                25 September 2021
                2021
                : 21
                : 508
                Affiliations
                [1 ]GRID grid.440747.4, ISNI 0000 0001 0473 0092, Medical College, Yan’an University, ; Yan’an, Shanxi Province China
                [2 ]GRID grid.414252.4, ISNI 0000 0004 1761 8894, Cardiology Department of the Second Medical Center & National Clinical Research Center for Geriatric Diseases, , Chinese PLA General Hospital, ; Beijing, China
                [3 ]GRID grid.449412.e, PKU-UPenn Sleep Center, , Peking University International Hospital, ; Beijing, China
                [4 ]Sleep Center, The Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou City, Gansu Province China
                [5 ]Department of General Practice, 960th Hospital of PLA, Jinan, Shandong Province China
                [6 ]GRID grid.411634.5, ISNI 0000 0004 0632 4559, Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, , Peking University People’s Hospital, ; Beijing, China
                [7 ]GRID grid.414252.4, ISNI 0000 0004 1761 8894, Department of Respiratory and Critical Care Medicine of the Second Medical Center & National Clinical Research Center for Geriatric Diseases, , Chinese PLA General Hospital, ; 28 Fuxing Road, Beijing, China
                [8 ]GRID grid.411607.5, Department of Respiratory and Critical Care Medicine, , Beijing Chaoyang Hospital Affiliated to Capital Medical University, ; Beijing, China
                Article
                2461
                10.1186/s12877-021-02461-x
                8466658
                34563134
                8b84ad1c-1f5f-43dd-9bae-aa0be86560f0
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 19 June 2021
                : 10 September 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Geriatric medicine
                obstructive sleep apnea,type 2 diabetes,elderly,major adverse cardiovascular events,mortality,cardiovascular disease

                Comments

                Comment on this article