Effect of High-Risk Obstructive Sleep Apnea on Clinical Outcomes in Adults with Coronavirus Disease 2019: A Multicenter, Prospective, Observational Clinical Trial

Yüksel Peker, Yeliz Celik, Semih Arbatli, Sacide Rana Isik, Baran Balcan, Ferhan Karataş, Fatma Işıl Uzel, Levent Tabak, Betül Çetin, Arzu Baygül, Ayşe Bilge Öztürk, Elif Altuğ, Sinem İliaz, Cetin Atasoy, Mahir Kapmaz, Duygu Yazici, Hasan Bayram, Birsen Durmaz Çetin, Benan Çağlayan, OSACOVID-19 Study Collaborators, Önder Ergönül, Şiran Keske, Suda Tekin, Pelin İrkören, Mehmet Karaca, Bilgin Sait, Nahit Çakar, Evren Şentürk, Gülay Kır, Semra Ugur, Ayla Esin, Fatma Yurdakul, Boğaç Özserezli, İpek Erus, Zeynep Atçeken, Saide Aytekin, Gökhan Erdoğan, Nur Konyalilar, Özgecan Kayalar, Yüksel Peker, Yeliz Celik, Semih Arbatli, Sacide Rana Isik, Baran Balcan, Ferhan Karataş, Fatma Işıl Uzel, Levent Tabak, Betül Çetin, Arzu Baygül, Ayşe Bilge Öztürk, Elif Altuğ, Sinem İliaz, Cetin Atasoy, Mahir Kapmaz, Duygu Yazici, Hasan Bayram, Birsen Durmaz Çetin, Benan Çağlayan, OSACOVID-19 Study Collaborators, Önder Ergönül, Şiran Keske, Suda Tekin, Pelin İrkören, Mehmet Karaca, Bilgin Sait, Nahit Çakar, Evren Şentürk, Gülay Kır, Semra Ugur, Ayla Esin, Fatma Yurdakul, Boğaç Özserezli, İpek Erus, Zeynep Atçeken, Saide Aytekin, Gökhan Erdoğan, Nur Konyalilar, Özgecan Kayalar

Abstract

Rationale: Coronavirus disease (COVID-19) is an ongoing pandemic, in which obesity, hypertension, and diabetes have been linked to poor outcomes. Obstructive sleep apnea (OSA) is associated with these conditions and may influence the prognosis of adults with COVID-19. Objectives: To determine the effect of OSA on clinical outcomes in patients with COVID-19. Methods: The current prospective observational study was conducted in three hospitals in Istanbul, Turkey from March 10 to June 22, 2020. The participants were categorized as high-risk or low-risk OSA according to the Berlin questionnaire that was administered in the out-patient clinic, in hospital, or shortly after discharge from hospital blinded to the clinical outcomes. A modified high-risk (mHR)-OSA score based on the snoring patterns (intensity and/or frequency), breathing pauses, and morning/daytime sleepiness, without taking obesity and hypertension into account, were used in the regression models. Results: The primary outcome was the clinical improvement defined as a decline of two categories from admission on a 7-category ordinal scale that ranges from 1 (discharged with normal activity) to 7 (death) on Days 7, 14, 21, and 28, respectively. Secondary outcomes included clinical worsening (an increase of 1 category), need for hospitalization, supplemental oxygen, and intensive care. In total, 320 eligible patients (median [interquartile range] age, 53.2 [41.3-63.0] yr; 45.9% female) were enrolled. In all, 121 (37.8%) were categorized as known (n = 3) or high-risk OSA (n = 118). According to the modified scoring, 70 (21.9%) had mHR-OSA. Among 242 patients requiring hospitalization, clinical improvement within 2 weeks occurred in 75.4% of the mHR-OSA group compared with 88.4% of the modified low-risk-OSA group (P = 0.014). In multivariate regression analyses, mHR-OSA (adjusted odds ratio [OR], 0.42; 95% confidence interval [CI], 0.19-0.92) and male sex (OR, 0.39; 95% CI, 0.17-0.86) predicted the delayed clinical improvement. In the entire study population (n = 320), including the nonhospitalized patients, mHR-OSA was associated with clinical worsening (adjusted hazard ratio, 1.55; 95% CI, 1.00-2.39) and with the need for supplemental oxygen (OR, 1.95; 95% CI, 1.06-3.59). Snoring patterns, especially louder snoring, significantly predicted delayed clinical improvement, worsening, need for hospitalization, supplemental oxygen, and intensive care. Conclusions: Adults with mHR-OSA in our COVID-19 cohort had poorer clinical outcomes than those with modified low-risk OSA independent of age, sex, and comorbidities. Clinical trial registered with www.clinicaltrials.gov (NCT04363333).

Keywords: COVID-19; clinical outcomes; hospitalization; intensive care; obstructive sleep apnea.

Figures

Figure 1.
Figure 1.
Flow of patients through the study. COVID-19 = coronavirus disease; ICU = intensive care unit.
Figure 2.
Figure 2.
Distribution of proportion falling into each category of the 7-category scale from admission to Day 28 among 242 hospitalized patients with modified high-risk OSA and modified low-risk OSA. hosp. = hospitalization; ICU = intensive care unit; OSA = obstructive sleep apnea.
Figure 3.
Figure 3.
(A) Odds ratios with 95% CIs for the clinical improvement within 2 weeks for 242 hospitalized patients with coronavirus disease (COVID-19) in a multivariate logistic regression analysis (modified high-risk OSA adjusted for age, sex, BMI, and hypertension). (B) Odds ratios with 95% CIs for the clinical improvement within 2 weeks for 242 hospitalized patients with COVID-19 in a multivariate logistic regression analysis (louder snoring adjusted for age, sex, BMI, and hypertension). *Louder than talking/very loud (can be heard in adjacent rooms). BMI = body mass index; CI = confidence interval; OSA = obstructive sleep apnea.
Figure 4.
Figure 4.
Cumulative incidence of clinical worsening in the entire study population of 320 cases with coronavirus disease (COVID-19) in a Cox proportional hazard model, adjusted for covariates. CI = confidence interval; HR = hazard ratio; mHR = modified high-risk; mLR = modified low-risk; OSA = obstructive sleep apnea.

References

    1. World Health Organization. Coronavirus disease (COVID-19 pandemic). WHO; 2020 [accessed 2021 Feb 2]. Available from:
    1. Ministry of Health, Republic of Turkey (MoH-TR)
    1. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review. JAMA. 2020;324:782–793.
    1. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054–1062.
    1. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. COVID-19 Lombardy ICU Network. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA. 2020;323:1574–1581.
    1. Suleyman G, Fadel RA, Malette KM, Hammond C, Abdulla H, Entz A, et al. Clinical characteristics and morbidity associated with coronavirus disease 2019 in a series of patients in metropolitan Detroit. JAMA Netw Open. 2020;3:e2012270.
    1. Cariou B, Hadjadj S, Wargny M, Pichelin M, Al-Salameh A, Allix I, et al. CORONADO investigators. Phenotypic characteristics and prognosis of inpatients with COVID-19 and diabetes: the CORONADO study. Diabetologia. 2020;63:1500–1515.
    1. Gottlieb DJ, Punjabi NM. Diagnosis and management of obstructive sleep apnea: a review. JAMA. 2020;323:1389–1400.
    1. Javaheri S, Barbe F, Campos-Rodriguez F, Dempsey JA, Khayat R, Javaheri S, et al. Sleep apnea: types, mechanisms, and clinical cardiovascular consequences. J Am Coll Cardiol. 2017;69:841–858.
    1. McSharry D, Malhotra A. Potential influences of obstructive sleep apnea and obesity on COVID-19 severity. J Clin Sleep Med. 2020;16:1645.
    1. Tufik S, Gozal D, Ishikura IA, Pires GN, Andersen ML. Does obstructive sleep apnea lead to increased risk of COVID-19 infection and severity? J Clin Sleep Med. 2020;16:1425–1426.
    1. Maas MB, Kim M, Malkani RG, Abbott SM, Zee PC. Obstructive sleep apnea and risk of COVID-19 infection, hospitalization and respiratory failure. Sleep Breath. doi: 10.1007/s11325-020-02271-2.
    1. Cade BE, Dashti HS, Hassan SM, Redline S, Karlson EW. Sleep apnea and COVID-19 mortality and hospitalization. Am J Respir Crit Care Med. 2020;202:1462–1464.
    1. Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131:485–491.
    1. Hani C, Trieu NH, Saab I, Dangeard S, Bennani S, Chassagnon G, et al. COVID-19 pneumonia: a review of typical CT findings and differential diagnosis. Diagn Interv Imaging. 2020;101:263–268.
    1. Demir A, Ardic S, Firat H, Karadeniz D, Aksu M, Ucar Z, et al. Prevalence of sleep disorders in the Turkish adult population epidemiology of sleep study. Sleep Biol Rhythms. 2015;13:298–308.
    1. van Oosten EM, Hamilton A, Petsikas D, Payne D, Redfearn DP, Zhang S, et al. Effect of preoperative obstructive sleep apnea on the frequency of atrial fibrillation after coronary artery bypass grafting. Am J Cardiol. 2014;113:919–923.
    1. Obesity: preventing and managing the global epidemic: report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii, 1–253.
    1. Wang Y, Fan G, Horby P, Hayden F, Li Q, Wu Q, et al. CAP-China Network. Comparative outcomes of adults hospitalized with seasonal influenza A or B virus infection: application of the 7-category ordinal scale. Open Forum Infect Dis. 2019;6:ofz053.
    1. Demirbilek Y, Pehlivantürk G, Özgüler ZÖ, Alp Meşe E. COVID-19 outbreak control, example of ministry of health of Turkey. Turk J Med Sci. 2020;50:489–494.
    1. Patel SR, Donovan LM. The COVID-19 pandemic presents an opportunity to reassess the value of polysomnography. Am J Respir Crit Care Med. 2020;202:309–310.
    1. Miller MA, Cappuccio FP. A systematic review of COVID-19 and obstructive sleep apnoea. Sleep Med Rev. 2021;55:101382.
    1. Li J, McEvoy RD, Zheng D, Loffler KA, Wang X, Redline S, et al. Self-reported snoring patterns predict stroke events in high-risk patients with OSA: post hoc analyses of the SAVE study. Chest. 2020;158:2146–2154.
    1. Roshkovan L, Chatterjee N, Galperin-Aizenberg M, Gupta N, Shah R, Barbosa EM, Jr, et al. The role of imaging in the management of suspected or known COVID-19 pneumonia: a multidisciplinary perspective. Ann Am Thorac Soc. 2020;17:1358–1365.
    1. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. China Medical Treatment Expert Group for Covid-19. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382: 1708–1720.
    1. Liu R, Han H, Liu F, Lv Z, Wu K, Liu Y, et al. Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020. Clin Chim Acta. 2020;505: 172–175.
    1. Bernheim A, Mei X, Huang M, Yang Y, Fayad ZA, Zhang N, et al. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology. 2020;295:200463.
    1. Watson J, Whiting PF, Brush JE. Interpreting a covid-19 test result. BMJ. 2020;369:m1808.
    1. Xiao AT, Tong YX, Zhang S. False negative of RT-PCR and prolonged nucleic acid conversion in COVID-19: rather than recurrence. J Med Virol. 2020;92:1755–1756.
    1. Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 2020;296:E115–E117.

Source: PubMed

3
Sottoscrivi