{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T06:53:12Z","timestamp":1777531992283,"version":"3.51.4"},"reference-count":27,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T00:00:00Z","timestamp":1532995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"This study was supported by a grant from the French Ministry of Health"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Chron Respir Dis"],"published-print":{"date-parts":[[2019,1,1]]},"abstract":"<jats:p>Ineffective efforts (IEs) are among the most common types of patient\u2013ventilator asynchrony. The objective of this study is to validate IE detection during expiration using pressure and flow signals, with respiratory effort detection by esophageal pressure (Pes) measurement as the reference, in patients with neuromuscular diseases (NMDs). We included 10 patients diagnosed with chronic respiratory failure related to NMD. Twenty-eight 5-minute recordings of daytime ventilation were studied for IE detection. Standard formulas were used to calculate sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of IE detection using pressure and flow signals compared to Pes measurement. Mean sensitivity and specificity of flow and pressure signal-based IE detection versus Pes measurement were 97.5% \u00b1 5.3% and 91.4% \u00b1 13.7%, respectively. NPV was 98.1% \u00b1 8.2% and PPV was 67.6% \u00b1 33.8%. Spearman\u2019s rank correlation coefficient indicated a moderately significant correlation between frequencies of IEs and controlled cycles ( \u03c1 = 0.50 and p = 0.01). Among respiratory cycles, 311 (11.2%) were false-positive IEs overall. Separating false-positive IEs according to their mechanisms, we observed premature cycling in 1.2% of cycles, delayed ventilator triggering in 0.1%, cardiac contraction in 9.2%, and upper airway instability during expiration in 0.3%. Using flow and pressure signals to detect IEs is a simple and rapid method that produces adequate data to support clinical decisions.<\/jats:p>","DOI":"10.1177\/1479972318790267","type":"journal-article","created":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T23:45:35Z","timestamp":1533080735000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Flow and airway pressure analysis for detecting ineffective effort during mechanical ventilation in neuromuscular patients"],"prefix":"10.1177","volume":"16","author":[{"given":"Cristina","family":"Ciorba","sequence":"first","affiliation":[{"name":"Service Physiologie et Explorations-Fonctionnelles, INSERM CIC 1429, AP-HP, H\u00f4pital Raymond Poincar\u00e9, Garches, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jesus","family":"Gonzalez-Bermejo","sequence":"additional","affiliation":[{"name":"Service de Pneumologie et R\u00e9animation M\u00e9dicale (D\u00e9partement \u201cR3S\u201d), INSERM UMRS1158, AP-HP, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re Charles Foix, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria-Antonia Quera","family":"Salva","sequence":"additional","affiliation":[{"name":"Service Physiologie et Explorations-Fonctionnelles, INSERM CIC 1429, AP-HP, H\u00f4pital Raymond Poincar\u00e9, Garches, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Djillali","family":"Annane","sequence":"additional","affiliation":[{"name":"Service de R\u00e9animation m\u00e9dicale et unit\u00e9 de ventilation \u00e0 domicile, INSERM CIC 1429, AP-HP, H\u00f4pital Raymond Poincar\u00e9, Garches, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Orlikowski","sequence":"additional","affiliation":[{"name":"Service de R\u00e9animation m\u00e9dicale et unit\u00e9 de ventilation \u00e0 domicile, INSERM CIC 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H\u00f4pital Raymond Poincar\u00e9, Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines, Garches, 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