Literature DB >> 32946275

Sleep Apnea and COVID-19 Mortality and Hospitalization.

Brian E Cade1,2, Hassan S Dashti2,3,4, Syed M Hassan1,2, Susan Redline1,2,5, Elizabeth W Karlson1,2,3.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32946275      PMCID: PMC7667903          DOI: 10.1164/rccm.202006-2252LE

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


× No keyword cloud information.
To the Editor: A report describing 5,700 patients with coronavirus disease (COVID-19) identified that common risk factors for poor outcomes are older age, minority ethnicity, obesity, hypertension, and diabetes (1). However, mortality and hospitalizations, estimated by the CDC COVID-19 Response Team to occur in 1.8–3.4% and 20.7–31.4% of COVID-19–positive individuals, respectively (2), are not fully explained by recognized risk factors. Sleep apnea—prevalent in older, obese, and minority individuals—increases risk for COVID-19 comorbidities and may contribute to poor outcomes by exacerbating or causing endothelial dysfunction, inflammation, oxidative stress, microaspiration, and lung injury (3–8). Although prior reports of COVID-19 risk factors have not identified sleep apnea as a prevalent risk factor, data were from healthcare systems where clinical recognition of sleep apnea is markedly underrecognized. Given its association with recognized COVID-19 comorbidities and physiological plausibility, we analyzed electronic health record (EHR) data (9) from a large New England healthcare system to ask whether sleep apnea is an unrecognized risk factor for COVID-19–related death, hospitalization, ventilator use, and ICU admission among patients with positive COVID-19 diagnostic testing.

Methods

The sample was adult nonemployee participants with positive COVID-19 RNA PCR diagnostic results who had available demographic data, a minimum of two clinical notes, two encounters, and three International Classification of Disease (ICD) diagnoses of any disease (to minimize the effect of minimal EHR documentation in participants with out-of-network care). Participants were further restricted to include those with either zero or two or more ICD-9 or ICD-10 diagnoses of sleep apnea or obstructive sleep apnea on different dates (to minimize the effect of rule-out diagnosis codes). Natural language processing (10) was used to obtain documentation of continuous positive airway pressure (CPAP) usage in the year before the first COVID-19 test.

Results

The sample of 4,668 patients included 55.6% females with a median age of 56.1 years (interquartile range, 40.5–71.1) and body mass index (BMI) of 28.8 (interquartile range, 25.4–33.1) and was composed of 48.3% European Americans, 14.8% African Americans, 14.0% Hispanic and Latino Americans, and 22.9% others. The mortality rate was 7.4% (median days from first test to May 24, 2020, or death = 31). The 443 participants (9.5%) with sleep apnea had an increased all-cause mortality rate (11.7%) compared with sleep apnea controls (6.9%) (P < 0.001; odds ratio [OR], 1.79; 95% confidence interval [CI], 1.31–2.45). A significant association between with sleep apnea and COVID-19 death persisted in analyses adjusted for demographics (Table 1). Associations were somewhat attenuated after adjusting for BMI class and diagnoses associated with sleep apnea. Similar but weaker associations were observed between sleep apnea and the composite outcome of ICU admission, mechanical ventilation, or death, or for hospitalization. In an exploratory analysis, participants with EHR CPAP documentation in the prior year displayed a nonsignificant trend for attenuated composite outcome results (n = 310; model 4 OR, 0.97 [95% CI, 0.73–1.30]; reference = no sleep apnea) compared with participants without evidence of CPAP documentation (n = 133; model 4 OR, 1.23 [95% CI, 0.82–1.84]; reference = no sleep apnea).
Table 1.

Odds Ratios Associating Sleep Apnea with COVID-19 Mortality and Severe Morbidity

OutcomeReferenceModel 1 (Unadjusted)Model 2 (Adjusted for Demographics)Model 3 (Model 2 Plus WHO BMI Class)Model 4 (Model 3 Plus Comorbidities)
DeathAlive1.79 (1.31–2.45)*1.53 (1.08–2.15)1.39 (0.97–1.98)1.16 (0.8–1.68)
Death, mechanical ventilation, or ICU admissionAll others1.64 (1.32–2.04)*1.29 (1.03–1.62)1.11 (0.87–1.40)1.04 (0.81–1.34)
Inpatient admissionOutpatient1.55 (1.27–1.89)*1.18 (0.95–1.45)1.01 (0.81–1.26)0.91 (0.72–1.14)

Definition of abbreviations: BMI = body mass index; COVID-19 = coronavirus disease; WHO = World Health Organization.

Results are presented as odds ratios with 95% confidence intervals. Model 1 = unadjusted (base); model 2 = adjusted for race and ethnicity, age, sex (demographics); model 3 = model 2 plus BMI (demographics + BMI); model 4 = model 3 plus asthma, chronic bronchitis, emphysema, essential hypertension, BMI, and type 2 diabetes (fully adjusted).

P ≤ 0.001 (Wald’s test).

P ≤ 0.05.

P = 0.07.

Odds Ratios Associating Sleep Apnea with COVID-19 Mortality and Severe Morbidity Definition of abbreviations: BMI = body mass index; COVID-19 = coronavirus disease; WHO = World Health Organization. Results are presented as odds ratios with 95% confidence intervals. Model 1 = unadjusted (base); model 2 = adjusted for race and ethnicity, age, sex (demographics); model 3 = model 2 plus BMI (demographics + BMI); model 4 = model 3 plus asthma, chronic bronchitis, emphysema, essential hypertension, BMI, and type 2 diabetes (fully adjusted). P ≤ 0.001 (Wald’s test). P ≤ 0.05. P = 0.07.

Discussion

The results of this U.S. healthcare system–based analysis of mortality and markers of severe morbidity identify sleep apnea as a risk factor for COVID-19 mortality, highlighting the need for close monitoring of patients with sleep apnea who become infected. Study strengths include analysis of a comprehensive electronic health data set and inclusion of a “data floor” to exclude participants with insufficient clinical data. Outcomes were based on a relatively long period of observation (median 31 d of follow-up) within a large healthcare system serving a diverse population and an area with high COVID-19 prevalence. Overall prevalence of sleep apnea, however, was lower than in community-based epidemiological studies, likely leading to some misclassification and attenuation of effect sizes. The CPAP analysis results are consistent with associations being driven by the untreated group; however, we caution that the analysis is limited by a lack of adherence data and should be replicated in a larger study. Although associations were somewhat reduced after adjusting for BMI, a common comorbidity of sleep apnea, the magnitude of effect and underlying biological plausibility of pathways linking sleep apnea to COVID-19–related morbidity highlight the importance of improved efforts to recognize sleep apnea in individuals presenting with COVID-19 infection. Given the urgent need to target mechanistic pathways underlying COVID-19 morbidity, research is warranted to understand whether sleep apnea–related hypoxemia, endothelial dysfunction, coagulopathy, inflammation, cardiac dysfunction, and other related pathologies contribute to the excessive COVID-19 morbidity and mortality observed in obese, minority, and other individuals at risk for sleep apnea.
  9 in total

1.  Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Authors:  Guergana K Savova; James J Masanz; Philip V Ogren; Jiaping Zheng; Sunghwan Sohn; Karin C Kipper-Schuler; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

Review 2.  Oxidative stress in obstructive sleep apnea and intermittent hypoxia--revisited--the bad ugly and good: implications to the heart and brain.

Authors:  Lena Lavie
Journal:  Sleep Med Rev       Date:  2014-07-24       Impact factor: 11.609

3.  Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area.

Authors:  Safiya Richardson; Jamie S Hirsch; Mangala Narasimhan; James M Crawford; Thomas McGinn; Karina W Davidson; Douglas P Barnaby; Lance B Becker; John D Chelico; Stuart L Cohen; Jennifer Cookingham; Kevin Coppa; Michael A Diefenbach; Andrew J Dominello; Joan Duer-Hefele; Louise Falzon; Jordan Gitlin; Negin Hajizadeh; Tiffany G Harvin; David A Hirschwerk; Eun Ji Kim; Zachary M Kozel; Lyndonna M Marrast; Jazmin N Mogavero; Gabrielle A Osorio; Michael Qiu; Theodoros P Zanos
Journal:  JAMA       Date:  2020-05-26       Impact factor: 56.272

4.  Inflammation, oxidative stress, and repair capacity of the vascular endothelium in obstructive sleep apnea.

Authors:  Sanja Jelic; Margherita Padeletti; Steven M Kawut; Christopher Higgins; Stephen M Canfield; Duygu Onat; Paolo C Colombo; Robert C Basner; Phillip Factor; Thierry H LeJemtel
Journal:  Circulation       Date:  2008-04-14       Impact factor: 29.690

Review 5.  The Last 25 Years of Obstructive Sleep Apnea Epidemiology-and the Next 25?

Authors:  Paul E Peppard; Erika W Hagen
Journal:  Am J Respir Crit Care Med       Date:  2018-02-01       Impact factor: 21.405

Review 6.  Sleep apnoea and endothelial dysfunction: An individual patient data meta-analysis.

Authors:  Vanessa Bironneau; Renaud Tamisier; Wojciech Trzepizur; Ramaroson Andriantsitohaina; Mathieu Berger; François Goupil; Marie Joyeux-Faure; Ingrid Jullian-Desayes; Sandrine Launois; Marc Le Vaillant; Marie-Carmen Martinez; Frédéric Roche; Jean-Louis Pépin; Frédéric Gagnadoux
Journal:  Sleep Med Rev       Date:  2020-03-13       Impact factor: 11.609

7.  Obstructive Sleep Apnea and Subclinical Interstitial Lung Disease in the Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  John S Kim; Anna J Podolanczuk; Priya Borker; Steven M Kawut; Ganesh Raghu; Joel D Kaufman; Karen D Hinckley Stukovsky; Eric A Hoffman; R Graham Barr; Daniel J Gottlieb; Susan S Redline; David J Lederer
Journal:  Ann Am Thorac Soc       Date:  2017-12

8.  Association between Obstructive Sleep Apnea and Community-Acquired Pneumonia.

Authors:  Eusebi Chiner; Mónica Llombart; Joan Valls; Esther Pastor; José N Sancho-Chust; Ada Luz Andreu; Manuel Sánchez-de-la-Torre; Ferran Barbé
Journal:  PLoS One       Date:  2016-04-06       Impact factor: 3.240

9.  Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) - United States, February 12-March 16, 2020.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-03-27       Impact factor: 17.586

  9 in total
  33 in total

1.  Sleep disorders and COVID-19.

Authors:  Sushanth Bhat; Sudhansu Chokroverty
Journal:  Sleep Med       Date:  2021-07-18       Impact factor: 4.842

2.  Use and limitations of databases and big data in sleep-disordered breathing research.

Authors:  Karin G Johnson; Douglas C Johnson; Stephen Derose
Journal:  J Clin Sleep Med       Date:  2022-03-01       Impact factor: 4.062

3.  Obstructive Sleep Apnea with COVID-19.

Authors:  Ying Huang; DongMing Chen; Ingo Fietze; Thomas Penzel
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

4.  Impact of Obstructive Sleep Apnea (OSA) in COVID-19 Survivors, Symptoms Changes Between 4-Months and 1 Year After the COVID-19 Infection.

Authors:  Gonzalo Labarca; Mario Henríquez-Beltrán; Liliana Lamperti; Estefania Nova-Lamperti; Sergio Sanhueza; Camilo Cabrera; Romina Quiroga; Barbara Antilef; Valeska Ormazábal; Felipe Zúñiga; Daniela Castillo; Gloria Horta; Daniel Enos; Jaime Lastra; Jessica Gonzalez; Adriano Targa; Ferran Barbe
Journal:  Front Med (Lausanne)       Date:  2022-06-14

5.  Assessment of Obstructive Sleep Apnea in Association with Severity of COVID-19: A Prospective Observational Study.

Authors:  Avishek Kar; Khushboo Saxena; Abhishek Goyal; Abhijit Pakhare; Alkesh Khurana; Saurabh Saigal; Parneet Kaur Bhagtana; Sridevi S K R Chinta; Yogesh Niwariya
Journal:  Sleep Vigil       Date:  2021-05-06

6.  Chronic respiratory diseases are predictors of severe outcome in COVID-19 hospitalised patients: a nationwide study.

Authors:  Guillaume Beltramo; Jonathan Cottenet; Anne-Sophie Mariet; Marjolaine Georges; Lionel Piroth; Pascale Tubert-Bitter; Philippe Bonniaud; Catherine Quantin
Journal:  Eur Respir J       Date:  2021-12-09       Impact factor: 16.671

7.  Obstructive sleep apnea is highly prevalent in COVID19 related moderate to severe ARDS survivors: findings of level I polysomnography in a tertiary care hospital.

Authors:  Abhishek Goyal; Khushboo Saxena; Avishek Kar; Alkesh Khurana; Parneet Kaur Bhagtana; Chinta Siva Koti Rupa Sridevi; Abhijit Pakhare
Journal:  Sleep Med       Date:  2021-06-19       Impact factor: 4.842

8.  The prevalence and impact of pre-existing sleep disorder diagnoses and objective sleep parameters in patients hospitalized for COVID-19.

Authors:  Cathy A Goldstein; Muneer Rizvydeen; Deirdre A Conroy; Louise M O'Brien; Gita Gupta; Emily C Somers; Pratima Sharma; Jonathan L Golob; Jonathan P Troost; Helen J Burgess
Journal:  J Clin Sleep Med       Date:  2021-05-01       Impact factor: 4.062

9.  Sleep in Older Adults and Its Possible Relations With COVID-19.

Authors:  Gabriel Natan Pires; Isabela Antunes Ishikura; Sandra Doria Xavier; Caetano Petrella; Ronaldo Delmonte Piovezan; Ellen Maria Sampaio Xerfan; Monica Levy Andersen; Sergio Tufik
Journal:  Front Aging Neurosci       Date:  2021-06-11       Impact factor: 5.750

10.  Case-Ascertainment Models to Identify Adults with Obstructive Sleep Apnea Using Health Administrative Data: Internal and External Validation.

Authors:  Tetyana Kendzerska; Carl van Walraven; Daniel I McIsaac; Marcus Povitz; Sunita Mulpuru; Isac Lima; Robert Talarico; Shawn D Aaron; William Reisman; Andrea S Gershon
Journal:  Clin Epidemiol       Date:  2021-06-17       Impact factor: 4.790

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.