Nightly Variation in Sleep Apnea Severity as Atrial Fibrillation Risk
In this observational cohort study, we examined the relationship between simultaneous long-term day-by-day SDB and AF monitoring extracted from a deidentified home monitoring database of 191 patients with LivaNova Reply 200 (LivaNova, London, United Kingdom) or Kora 100 DR (Sorin CRM, Clamart, Franc...
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| Veröffentlicht in: | Journal of the American College of Cardiology 2018-11, Vol.72 (19), p.2406-2407 |
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| container_title | Journal of the American College of Cardiology |
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| creator | Linz, Dominik Brooks, Anthony G. Elliott, Adrian D. Kalman, Jonathan M. McEvoy, R. Doug Lau, Dennis H. Sanders, Prashanthan |
| description | In this observational cohort study, we examined the relationship between simultaneous long-term day-by-day SDB and AF monitoring extracted from a deidentified home monitoring database of 191 patients with LivaNova Reply 200 (LivaNova, London, United Kingdom) or Kora 100 DR (Sorin CRM, Clamart, France) dual-chamber pacemakers implanted according to guideline-directed indications. A binary logistic generalized estimating equation (SPSS, version 24, IBM, Armonk, New York) was used to develop a prediction model for the dichotomous AF outcome (>5 min of cumulative mode switch per day) using the within-patient standardized (via quartiles) SDB severity data. [...]studies in well-characterized patient cohorts are needed to investigate the effect of concomitant risk factors on SDB day-to-day variability and whether the findings are applicable to the general AF population. |
| doi_str_mv | 10.1016/j.jacc.2018.08.2159 |
| format | Article |
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[...]studies in well-characterized patient cohorts are needed to investigate the effect of concomitant risk factors on SDB day-to-day variability and whether the findings are applicable to the general AF population.</description><identifier>ISSN: 0735-1097</identifier><identifier>EISSN: 1558-3597</identifier><identifier>DOI: 10.1016/j.jacc.2018.08.2159</identifier><identifier>PMID: 30384896</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Apnea ; Atrial Fibrillation - diagnosis ; Atrial Fibrillation - epidemiology ; Atrial Fibrillation - physiopathology ; Cardiac arrhythmia ; Cardiology ; Cohort Studies ; Female ; Fibrillation ; Humans ; Male ; Patients ; Polysomnography - methods ; Polysomnography - trends ; Risk Factors ; Severity of Illness Index ; Sleep ; Sleep apnea ; Sleep Apnea Syndromes - diagnosis ; Sleep Apnea Syndromes - epidemiology ; Sleep Apnea Syndromes - physiopathology ; Sleep disorders</subject><ispartof>Journal of the American College of Cardiology, 2018-11, Vol.72 (19), p.2406-2407</ispartof><rights>2018</rights><rights>Copyright Elsevier Limited Nov 6, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-5ec46655280e4b214538467147f1f4b11861578c93ceb60bc33bfecb952286b83</citedby><cites>FETCH-LOGICAL-c432t-5ec46655280e4b214538467147f1f4b11861578c93ceb60bc33bfecb952286b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jacc.2018.08.2159$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,778,782,3539,27911,27912,45982</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30384896$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Linz, Dominik</creatorcontrib><creatorcontrib>Brooks, Anthony G.</creatorcontrib><creatorcontrib>Elliott, Adrian D.</creatorcontrib><creatorcontrib>Kalman, Jonathan M.</creatorcontrib><creatorcontrib>McEvoy, R. Doug</creatorcontrib><creatorcontrib>Lau, Dennis H.</creatorcontrib><creatorcontrib>Sanders, Prashanthan</creatorcontrib><title>Nightly Variation in Sleep Apnea Severity as Atrial Fibrillation Risk</title><title>Journal of the American College of Cardiology</title><addtitle>J Am Coll Cardiol</addtitle><description>In this observational cohort study, we examined the relationship between simultaneous long-term day-by-day SDB and AF monitoring extracted from a deidentified home monitoring database of 191 patients with LivaNova Reply 200 (LivaNova, London, United Kingdom) or Kora 100 DR (Sorin CRM, Clamart, France) dual-chamber pacemakers implanted according to guideline-directed indications. A binary logistic generalized estimating equation (SPSS, version 24, IBM, Armonk, New York) was used to develop a prediction model for the dichotomous AF outcome (>5 min of cumulative mode switch per day) using the within-patient standardized (via quartiles) SDB severity data. [...]studies in well-characterized patient cohorts are needed to investigate the effect of concomitant risk factors on SDB day-to-day variability and whether the findings are applicable to the general AF population.</description><subject>Apnea</subject><subject>Atrial Fibrillation - diagnosis</subject><subject>Atrial Fibrillation - epidemiology</subject><subject>Atrial Fibrillation - physiopathology</subject><subject>Cardiac arrhythmia</subject><subject>Cardiology</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Fibrillation</subject><subject>Humans</subject><subject>Male</subject><subject>Patients</subject><subject>Polysomnography - methods</subject><subject>Polysomnography - trends</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Sleep</subject><subject>Sleep apnea</subject><subject>Sleep Apnea Syndromes - diagnosis</subject><subject>Sleep Apnea Syndromes - epidemiology</subject><subject>Sleep Apnea Syndromes - physiopathology</subject><subject>Sleep disorders</subject><issn>0735-1097</issn><issn>1558-3597</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kD1PwzAURS0EoqXwC5BQJBaWBH_EjjMwVFULSBVIFFit2H0BhzQpdlqp_x5HBQYGprece9_VQeic4IRgIq6rpCqMSSgmMsEyoYTnB2hIOJcx43l2iIY4YzwmOM8G6MT7CmMsJMmP0YBhJlOZiyGaPti3967eRa-Fs0Vn2yayTbSoAdbReN1AES1gC852u6jw0bgLUB3NrHa2rvf4k_Ufp-ioLGoPZ993hF5m0-fJXTx_vL2fjOexSRntYg4mFYJzKjGkmpKUhxkiI2lWkjLVhEhBeCZNzgxogbVhTJdgdM4plUJLNkJX-961az834Du1st5AmNJAu_GKEprzFFNKA3r5B63ajWvCup4SMhMZZoFie8q41nsHpVo7uyrcThGsesuqUr1l1VtWWKreckhdfHdv9AqWv5kfrQG42QMQZGwtOOWNhcbA0jownVq29t8HX31mi2A</recordid><startdate>20181106</startdate><enddate>20181106</enddate><creator>Linz, Dominik</creator><creator>Brooks, Anthony G.</creator><creator>Elliott, Adrian D.</creator><creator>Kalman, Jonathan M.</creator><creator>McEvoy, R. Doug</creator><creator>Lau, Dennis H.</creator><creator>Sanders, Prashanthan</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20181106</creationdate><title>Nightly Variation in Sleep Apnea Severity as Atrial Fibrillation Risk</title><author>Linz, Dominik ; Brooks, Anthony G. ; Elliott, Adrian D. ; Kalman, Jonathan M. ; McEvoy, R. 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A binary logistic generalized estimating equation (SPSS, version 24, IBM, Armonk, New York) was used to develop a prediction model for the dichotomous AF outcome (>5 min of cumulative mode switch per day) using the within-patient standardized (via quartiles) SDB severity data. [...]studies in well-characterized patient cohorts are needed to investigate the effect of concomitant risk factors on SDB day-to-day variability and whether the findings are applicable to the general AF population.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30384896</pmid><doi>10.1016/j.jacc.2018.08.2159</doi><tpages>2</tpages><oa>free_for_read</oa></addata></record> |
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| source | Elsevier ScienceDirect Journals Complete - AutoHoldings; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Apnea Atrial Fibrillation - diagnosis Atrial Fibrillation - epidemiology Atrial Fibrillation - physiopathology Cardiac arrhythmia Cardiology Cohort Studies Female Fibrillation Humans Male Patients Polysomnography - methods Polysomnography - trends Risk Factors Severity of Illness Index Sleep Sleep apnea Sleep Apnea Syndromes - diagnosis Sleep Apnea Syndromes - epidemiology Sleep Apnea Syndromes - physiopathology Sleep disorders |
| title | Nightly Variation in Sleep Apnea Severity as Atrial Fibrillation Risk |
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