Literature DB >> 32591980

Cardiovascular Outcomes Post Percutaneous Coronary Intervention in Patients with Obstructive Sleep Apnea and Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Hong Wang1, Xinxin Li2, Zhangui Tang3, Guoping Gong2.   

Abstract

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a major risk factor for the occurrence of cardiovascular diseases. Similar to T2DM, obstructive sleep apnea (OSA) is also known to be a risk factor for cardiovascular diseases. In this analysis, we aimed to systematically compare the post-interventional cardiovascular outcomes observed in patients with T2DM with versus without OSA.
METHODS: Electronic databases were searched for relevant publications comparing the cardiovascular outcomes following percutaneous coronary intervention (PCI) in patients with T2DM with OSA. Cardiovascular outcomes were considered as the relevant endpoints. The RevMan software 5.3 was used to carry out the statistical analysis. Odds ratios (OR) with 95% confidence intervals (CI) were used to represent the results following data assessment.
RESULTS: A total of 1168 participants with T2DM were included in this analysis, of whom 614 had co-existing OSA. The time period of patients' enrollment varied from year 2002 to 2017. Our current analysis showed that major adverse cardiac events (MACEs) (OR 2.28, 95% CI 1.24-4.18; P = 0.008) and all-cause mortality (OR 1.95, 95% CI 1.08-3.54; P = 0.03) were significantly higher in the OSA subgroup. However, major adverse cerebrovascular and cardiovascular (MACCEs) (OR 1.38, 95% CI 0.97-1.98; P = 0.07) and cardiac death (OR 1.79, 95% CI 0.77-4.16; P = 0.18) were not significantly different post PCI. In addition, hospitalization for heart failure (OR 1.99, 95% CI 0.43-9.25; P = 0.38), re-infarction (OR 1.52, 95% CI 0.85-2.70; P = 0.16), stroke (OR 1.81, 95% CI 0.81-4.08; P = 0.15), target vessel revascularization (TVR) (OR 1.54, 95% CI 0.98-2.42; P = 0.06), and target lesion revascularization (TLR) (OR 1.32, 95% CI 0.80-2.18; P = 0.28) were also not significantly different post PCI in the patients with T2DM with versus without OSA.
CONCLUSION: OSA was associated with a significant increase in all-cause mortality and MACEs post PCI in these patients with T2DM. Therefore, special care and continuous follow-up might be required for patients with T2DM with associated OSA after PCI. However, as a result of the limited number of participants, further larger studies would be required to confirm these hypotheses.

Entities:  

Keywords:  Major adverse cardiac events; Obstructive sleep apnea; Percutaneous coronary intervention; Type 2 diabetes mellitus

Year:  2020        PMID: 32591980      PMCID: PMC7376814          DOI: 10.1007/s13300-020-00870-6

Source DB:  PubMed          Journal:  Diabetes Ther        ISSN: 1869-6961            Impact factor:   2.945


Key Summary Points

Introduction

It is well known that type 2 diabetes mellitus (T2DM) is a major risk factor for the occurrence of cardiovascular diseases [1]. Similar to T2DM, obstructive sleep apnea (OSA) [2], characterized by recurrent partial or complete upper airway obstruction causing hypoxia and arousal from sleep, is also known to be a risk factor for cardiovascular diseases [3]. Several studies have already shown T2DM to be associated with worse cardiovascular outcomes following percutaneous coronary intervention (PCI) [4]. Recent studies have also shown that in those patients with acute coronary syndrome (ACS), OSA is associated with a higher risk of short- and long-term cardiovascular events compared to those patients without OSA [5]. However, no study has yet systematically assessed the cardiovascular outcomes in patients with co-existing T2DM and OSA following coronary angioplasty. In this analysis, we aimed to systematically compare the post-interventional cardiovascular outcomes observed in patients with T2DM with versus without OSA.

Methods

Data Sources

The following search databases were explored for relevant publications: MEDLINE Cochrane Central https://www.ClinicalTrials.gov EMBASE Web of Science Google Scholar

Searched Terms and Search Strategies

The aforementioned databases were searched for relevant publications comparing the cardiovascular outcomes in patients with T2DM with versus without OSA following PCI by using the following search terms: Obstructive sleep apnea, diabetes mellitus, percutaneous coronary intervention Obstructive sleep apnea and percutaneous coronary intervention Obstructive sleep apnea, type 2 diabetes mellitus, percutaneous coronary intervention Obstructive sleep apnea, diabetes mellitus, coronary angioplasty Obstructive sleep apnea, diabetes mellitus, coronary revascularization Obstructive sleep apnea, coronary angioplasty Obstructive sleep apnea, diabetes mellitus, PCI Only studies published in English language were considered relevant to this research.

Inclusion and Exclusion Criteria

Criteria for inclusion were: Patients with T2DM with OSA who have undergone PCI. Post-PCI cardiovascular outcomes were reported. English publications. Criteria for exclusion: Patients with T2DM without OSA. Post-interventional cardiovascular outcomes were not reported. Repeated studies. Non-English publications. Literature reviews, meta-analyses and systematic reviews as well as case studies.

Outcomes

The outcomes assessed in this analysis were: Major adverse cerebrovascular and cardiac events (MACCEs), defined as the total number of deaths, re-infarction, revascularization, and stroke Major adverse cardiac events (MACEs), defined as the total number of deaths, re-infarction, and revascularization Cardiac death All-cause mortality Re-infarction Stroke Target vessel revascularization (TVR) Target lesion revascularization (TLR) Hospitalization for heart failure. All patients were revascularized by PCI. The outcomes reported in the original studies are listed in Table 1.
Table 1

Outcomes reported in these patients with type 2 diabetes mellitus

StudiesOutcomes reportedApproximate mean follow-up time periodTreatment strategy
Fan [8]MACCE, cardiovascular death, MI, stroke, hospitalization for unstable angina, hospitalization for heart failure, all-cause mortality, TVR, TLR1 yearPCI or CABG
Lee [9]Death, re-infarction, stroke, TVR, admission due to heart failure, major adverse events18 monthsPCI
Lee [10]MI, stroke, revascularization, stent thrombosis, MACCE, cardiovascular death, all-cause mortality1.9 yearsPCI
Loo [11]MI, revascularization, stroke, hospitalization for heart failure, cardiac death, MACCE24 monthsPCI
Meng [12]MACEs, cardiac death, heart failure, TVR, stroke1 yearPCI
Nakashima [13]TVR, re-infarction, MACEs4 yearsPCI
Wu [14]Revascularization, TLR, TVR, MI, stroke, death, MACE, MACCE1 and 5 yearsPCI
Yumino [15]TVR, cardiac death, MACEs8 monthsPCI

MACCEs major adverse cardiovascular and cerebrovascular events, MACEs major adverse cardiac events, MI myocardial infarction, TVR target vessel revascularization, TLR target lesion revascularization, PCI percutaneous coronary intervention, CABG coronary artery bypass grafting

Outcomes reported in these patients with type 2 diabetes mellitus MACCEs major adverse cardiovascular and cerebrovascular events, MACEs major adverse cardiac events, MI myocardial infarction, TVR target vessel revascularization, TLR target lesion revascularization, PCI percutaneous coronary intervention, CABG coronary artery bypass grafting The mean follow-up time period ranged between 1 and 5 years.

Data Extraction and Quality Assessment

Data were extracted by four independent authors. First of all the first authors’ names, the publication year, the total number of participants with T2DM, the total number of participants with T2DM with versus without OSA, the baseline characteristics including the mean age of the participants, the percentage of male patients, the percentage of participants with T2DM who were current smokers, who had hypertension, and those who had dyslipidemia were all carefully extracted. In addition, the type of study, the type of revascularization procedures, the time period of patients’ enrollment, the cardiovascular outcomes reported in the original studies, and the corresponding follow-up time period were all carefully extracted. If any of the authors disagreed about the inclusion of certain data or had any difficulty in the data extraction process, the issues were carefully discussed among all the authors, and then a final decision was made by the corresponding author. The methodological quality of the studies was assessed by the Newcastle Ottawa Scale (NOS) [6]. Grades were allotted to the studies to denote low (A), moderate (B), or high risk (C) of bias.

Statistical Analysis

The RevMan software 5.3 was used to carry out the statistical analysis. Odds ratios (OR) with 95% confidence intervals (CI) were used to represent the results following data assessment. There were two ways to assess heterogeneity: (1) using the Q statistic test whereby a P value less than or equal to 0.05 was considered statistically significant; (2) the I2 test whereby heterogeneity was increased with an increasing I2 value. An I2 value with a low percentage denoted low heterogeneity whereas an I2 value with a high percentage denoted increased heterogeneity. A fixed statistical effect was used during data analysis if the heterogeneity was low; however, a random statistical effect model was used in case of high heterogeneity. Sensitivity analysis was also carried out to prove that the main results were not influenced by any of the studies. In addition, a funnel plot was generated to visually assess publication bias.

Compliance with Ethical Guidelines

This article is based on previously conducted studies and does not contain any studies with human participants or animals performed by any of the authors.

Results

Search Outcomes

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guideline was followed [7]. A thorough search through the electronic databases resulted in a total of 1080 publications. After an assessment of the titles and abstracts by the authors, 988 publications were eliminated and the remaining 92 full-text publications were assessed for eligibility. Full-text articles were eliminated on the basis of the following criteria: Involved participants did not undergo PCI (n = 7). Post-interventional outcomes were not reported (n = 3). Non-English publications (n = 4). Case studies (n = 6). Literature review (n = 1). Systematic reviews and meta-analyses (n = 3). Repeated studies (n = 60). Finally only eight studies [8-15] were included in this analysis as shown in Fig. 1.
Fig. 1

Flow diagram representing the selection of studies to be included in this analysis

Flow diagram representing the selection of studies to be included in this analysis

Main and Baseline Features

Table 2 shows the main characteristics of the studies included in this analysis. The time period of patients’ enrollment varied from year 2002 to 2017. A total of 1168 participants with T2DM were included in this analysis, of whom 614 had co-existing OSA.
Table 2

Main features of the studies

StudiesType of studyYear of participants’ enrollmentNo. of patients with T2DM with OSA (n)No. of patients with T2DM without OSA (n)NOS grade
Fan [8]Prospective2015–2017121127B
Lee [9]Prospective2007–20082121B
Lee [10]Prospective2011–2014271284B
Loo [11]Prospective2011–201298B
Meng [12]OS20081911B
Nakashima [13]OS2003–20094551B
Wu [14]Retrospective2002–201210033B
Yumino [15]OS2819B
Total no. of participants with T2DM (n)614554

OS observational study, T2DM type 2 diabetes mellitus, OSA obstructive sleep apnea, NOS Newcastle Ottawa Scale

Main features of the studies OS observational study, T2DM type 2 diabetes mellitus, OSA obstructive sleep apnea, NOS Newcastle Ottawa Scale On the basis of the assessment by the NOS, a grade B was allotted to the studies indicating a moderate risk of bias as shown in Table 2. The baseline features of the studies are listed in Table 3. According to the baseline features listed, the mean age of the participants ranged between 50.9 and 71.0 years. The majority of these patients with T2DM were male participants with an average percentage ranging from 66.7% to 98.4%. The mean percentages of participants with hypertension (49.2% to 79.2%), dyslipidemia (25.7% to 88.6%), and current smoker (16.7% to 63.6%) are also given in Table 3.
Table 3

Baseline features of the participants with T2DM with versus without OSA

StudiesAge (years)Male (%)HBP (%)DYS (%)CS (%)DM (%)
OSA/NOSAOSA/NOSAOSA/NOSAOSA/NOSAOSA/NOSAOSA/NOSA
Fan [8]57.7/57.284.9/80.368.2/63.626.6/25.750.1/50.9100/100
Lee [9]55.2/50.997.7/98.456.8/49.288.6/80.354.6/60.7100/100
Lee [10]59.0/57.588.1/82.968.0/54.060.1/58.735.4/35.6100/100
Loo [11]56.7/52.875.0/93.266.7/38.687.5/70.516.7/63.6100/100
Meng [12]66.5/66.870.7/66.775.7/79.268.9/66.736.5/31.3100/100
Nakashima [13]71.0/65.077.0/73.063.0/56.056.0/55.032.0/45.0100/100
Wu [14]55.0/55.084.2/83.273.8/70.544.6/40.024.6/23.2100/100
Yumino [15]66.0/65.084.0/68.078.0/79.084.0/53.063.0/58.0100/100

HBP high blood pressure, DYS dyslipidemia, CS current smoker, DM diabetes mellitus, OSA obstructive sleep apnea, NOSA non-obstructive sleep apnea

Baseline features of the participants with T2DM with versus without OSA HBP high blood pressure, DYS dyslipidemia, CS current smoker, DM diabetes mellitus, OSA obstructive sleep apnea, NOSA non-obstructive sleep apnea

Results of this Analysis

All patients with T2DM with or without OSA who underwent PCI were included. Our current analysis showed that MACEs (OR 2.28, 95% CI 1.24–4.18; P = 0.008) and all-cause mortality (OR 1.95, 95% CI 1.08–3.54; P = 0.03) were significantly higher in the OSA subgroup as shown in Fig. 2. However, MACCEs (OR 1.38, 95% CI 0.97–1.98; P = 0.07) and cardiac death (OR 1.79, 95% CI 0.77–4.16; P = 0.18) were not significantly different post PCI between these two subgroups of patients with T2DM with versus without OSA as shown in Fig. 2.
Fig. 2

Comparing the post-percutaneous coronary interventional outcomes in patients with T2DM with versus without obstructive sleep apnea (part I)

Comparing the post-percutaneous coronary interventional outcomes in patients with T2DM with versus without obstructive sleep apnea (part I) In addition, hospitalization for heart failure (OR 1.99, 95% CI 0.43–9.25; P = 0.38), re-infarction (OR 1.52, 95% CI 0.85–2.70; P = 0.16), stroke (OR 1.81, 95% CI 0.81–4.08; P = 0.15), TVR (OR 1.54, 95% CI 0.98–2.42; P = 0.06) and TLR (OR 1.32, 95% CI 0.80–2.18; P = 0.28) were also not significantly different post PCI as shown in Fig. 3.
Fig. 3

Comparing the post-percutaneous coronary interventional outcomes in patients with T2DM with versus without obstructive sleep apnea (part II)

Comparing the post-percutaneous coronary interventional outcomes in patients with T2DM with versus without obstructive sleep apnea (part II) Sensitivity analysis was carried out by an exclusion method whereby each study was excluded one by one and a new analysis was carried out each time and the new results were compared for any significant change compared to the main result of this analysis. However, consistent results were obtained throughout. The funnel plot (Fig. 4) showed that there was no evidence of publication bias among the studies that were included to assess these cardiovascular outcomes post PCI in these patients with T2DM with versus without OSA.
Fig. 4

Funnel plot visually demonstrating no publication bias

Funnel plot visually demonstrating no publication bias A summary of the results is shown in Table 4.
Table 4

Results of this analysis

OutcomesOR with 95% CIP valueI2 value (%)
Major adverse cardiovascular and cerebrovascular events (MACCEs)1.38 [0.97–1.98]0.070
Major adverse cardiac events (MACEs)2.28 [1.24–4.18]0.0080
Cardiac death1.79 [0.77–4.16]0.180
All-cause mortality1.95 [1.08–3.54]0.030
Hospitalization for heart failure1.99 [0.43–9.25]0.380
Re-infarction1.52 [0.85–2.70]0.160
Stroke1.81 [0.81–4.08]0.150
Target vessel revascularization (TVR)1.54 [0.98–2.42]0.060
Target lesion revascularization (TLR)1.32 [0.80–2.18]0.280

OR odds ratios, CI confidence intervals

Results of this analysis OR odds ratios, CI confidence intervals

Discussion

In a systematic review and meta-analysis which was published in 2012, the authors concluded that even though OSA appeared to be associated with stroke, the relationship between OSA and acute coronary syndrome or cardiovascular mortality would require further research [16]. This current analysis focused on the post-interventional cardiovascular outcomes observed in patients with T2DM with versus without OSA. Our results from this analysis have shown that in patients with T2DM, OSA was associated with a significantly higher all-cause mortality and MACEs following coronary angioplasty. However, the results for re-infarction, repeated revascularization, cardiac death, MACCEs, stroke, and re-hospitalization for heart failure were not significant. The fact that MACEs were significantly higher in patients with T2DM and co-existing OSA whereas MACCEs were not significantly different following PCI might be explained by the all-cause mortality being significantly higher, thereby contributing to significantly higher MACEs whereas stroke was not significantly different between these two groups, rendering MACCEs non-significant. OSA has been linked to cardiovascular events by several mechanisms [17]. Studies have shown repeated cycles of intermittent hypoxemia, sympathetic activation, and sleep disruption as a result of OSA could lead to several vascular abnormalities such as endothelial dysfunction, vascular inflammation, and high platelet reactions [18]. Similar to the results of this current study, another recently published meta-analysis based on the association of OSA with cardiovascular outcomes after PCI showed a significantly higher risk of MACEs and all-cause mortality associated with this intermittent hypoxemic disease [19]. The authors concluded that patients with OSA had a greater risk of subsequent cardiovascular outcomes after PCI. They also stated that whether prevention of OSA might improve cardiovascular outcomes should further be investigated. A recent meta-analysis of prospective studies additionally showed that OSA apparently increased the risk of cardiac death, repeated revascularization, and non-fatal myocardial infarction after PCI [20]. Nevertheless, the study dealt with the general population with coronary artery disease whereas our current paper was based on patients with T2DM with coronary artery disease. In another study aimed at showing the clinical significance of OSA in patients with ACS in relation to diabetes status, OSA was associated with a higher risk of MACCEs at 1-year follow-up, following ACS in these patients with diabetes mellitus, but with different results in patients without diabetes mellitus [21]. The study also showed that longer hypoxia in these patients with diabetes mellitus and OSA could further increase the risk of MACCEs to 31%. Similarly, among 168 consecutive patients who were admitted with unstable angina or non-ST elevation ACS, the authors suggested that OSA might represent an aggravating factor for such patients [22].

Limitations

This study has several limitations. Firstly, the total number of participants was small and this might have had an impact on the results and conclusion. Secondly, a few important cardiovascular outcomes including stent thrombosis were not assessed since they were not reported in the original studies, or were reported in only one study whereby a comparison was not possible. In addition, since the participants were on anticoagulants, bleeding outcomes would have also been interesting, but these outcomes were not reported in the original studies and therefore could not be analyzed in our paper. Another limitation could be the inclusion of data which were extracted from observational studies and could have contributed to the introduction of bias.

Conclusion

OSA was associated with a significant increase in all-cause mortality and MACEs post PCI in these patients with T2DM. Therefore, special care and continuous follow-up might be required for patients with T2DM with associated OSA following PCI. As a result of the limited number of participants, further larger studies would be required to confirm these hypotheses.
Why carry out this study?
Similar to diabetes mellitus, obstructive sleep apnea (OSA) is also known to be a risk factor for cardiovascular diseases.
However, no study has yet systematically assessed the cardiovascular outcomes in patients with co-existing diabetes mellitus and OSA following coronary angioplasty.
What was learned from the study?
OSA was associated with a significant increase in all-cause mortality and major adverse cardiac events post coronary intervention in these patients with diabetes mellitus.
Therefore, special care and continuous follow-up might be required for patients with diabetes mellitus with associated OSA following percutaneous coronary intervention.
  22 in total

1.  Effects of moderate-to-severe obstructive sleep apnea on the clinical manifestations of plaque vulnerability and the progression of coronary atherosclerosis in patients with acute coronary syndrome.

Authors:  Hiroshi Nakashima; Masaya Kurobe; Kazutoshi Minami; Shinnosuke Furudono; Yuzou Uchida; Kentarou Amenomori; Tatsuya Nunohiro; Satoshi Takeshita; Koji Maemura
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2014-05-22

Review 2.  Association of obstructive sleep apnea with risk of serious cardiovascular events: a systematic review and meta-analysis.

Authors:  Yoon K Loke; J William L Brown; Chun Shing Kwok; Alagaratnam Niruban; Phyo K Myint
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-07-24

3.  Obstructive Sleep Apnea and Cardiovascular Events After Percutaneous Coronary Intervention.

Authors:  Chi-Hang Lee; Rishi Sethi; Ruogu Li; Hee-Hwa Ho; Thet Hein; Man-Hong Jim; Germaine Loo; Chieh-Yang Koo; Xiao-Fei Gao; Sharad Chandra; Xiao-Xiao Yang; Sofia F Furlan; Zhen Ge; Ajeya Mundhekar; Wei-Wei Zhang; Carlos Henrique G Uchôa; Rajiv Bharat Kharwar; Po-Fun Chan; Shao-Liang Chen; Mark Y Chan; Arthur Mark Richards; Huay-Cheem Tan; Thun-How Ong; Glenn Roldan; Bee-Choo Tai; Luciano F Drager; Jun-Jie Zhang
Journal:  Circulation       Date:  2016-05-13       Impact factor: 29.690

4.  The influence of intermittent hypoxemia on platelet activation in obese patients with obstructive sleep apnea.

Authors:  Shilpa Rahangdale; Susie Yim Yeh; Victor Novack; Karen Stevenson; Marc R Barnard; Mark I Furman; Andrew L Frelinger; Alan D Michelson; Atul Malhotra
Journal:  J Clin Sleep Med       Date:  2011-04-15       Impact factor: 4.062

5.  Severe obstructive sleep apnea and outcomes following myocardial infarction.

Authors:  Chi-Hang Lee; See-Meng Khoo; Mark Y Chan; Hwee-Bee Wong; Adrian F Low; Qian-Hui Phua; A Mark Richards; Huay-Cheem Tan; Tiong-Cheng Yeo
Journal:  J Clin Sleep Med       Date:  2011-12-15       Impact factor: 4.062

6.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  BMJ       Date:  2009-07-21

7.  Obstructive sleep apnea affects hospital outcomes of patients with non-ST-elevation acute coronary syndromes.

Authors:  Luis C L Correia; Alexandre C Souza; Guilherme Garcia; Michael Sabino; Mariana Brito; Mayara Maraux; Márcia M N Rabelo; J Péricles Esteves
Journal:  Sleep       Date:  2012-09-01       Impact factor: 5.849

8.  Association between mean platelet volume and severity of disease in patients with obstructive sleep apnea syndrome without risk factors for cardiovascular disease.

Authors:  Mustafa Serkan Karakaş; Refik Emre Altekin; Ahmet Oğuz Baktır; Murathan Küçük; Aykut Cilli; Selim Yalçınkaya
Journal:  Turk Kardiyol Dern Ars       Date:  2013-01

Review 9.  A clinical approach to obstructive sleep apnea as a risk factor for cardiovascular disease.

Authors:  Micha T Maeder; Otto D Schoch; Hans Rickli
Journal:  Vasc Health Risk Manag       Date:  2016-03-21

Review 10.  Association of obstructive sleep apnea with cardiovascular outcomes after percutaneous coronary intervention: A systematic review and meta-analysis.

Authors:  Xiao Wang; Jing-Yao Fan; Ying Zhang; Shao-Ping Nie; Yong-Xiang Wei
Journal:  Medicine (Baltimore)       Date:  2018-04       Impact factor: 1.889

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Journal:  Ann Transl Med       Date:  2020-12
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