{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:54:33Z","timestamp":1783958073190,"version":"3.55.0"},"reference-count":43,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:00:00Z","timestamp":1706054400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Respir Care"],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:sec>\n                    <jats:title>BACKGROUND:<\/jats:title>\n                    <jats:p>Improved patient-ventilator asynchrony (PVA) identification using waveform analysis by critical care physicians (CCPs) may improve patient outcomes. This study aimed to assess the ability of CCPs to identify different types of PVAs using waveform analysis as well as factors related to this ability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>We surveyed 12 university-affiliated medical ICUs (MICUs) in Tunisia. CCPs practicing in these MICUs were asked to visually identify 4 clinical cases, each corresponding to a different PVA. We collected the following characteristics regarding CCPs: scientific grade, years of experience, prior training in mechanical ventilation, prior exposure to waveform analysis, and the characteristics of the MICUs in which they practice. Respondents were categorized into 2 groups based on their ability to correctly identify PVAs (defined as the correct identification of at least 3 of the 4 PVA cases). Univariate analysis was performed to identify factors related to the correct identification of PVA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>\n                      Among 136 included CCPs, 72 (52.9%) responded to the present survey. The respondents comprised 59 (81.9%) residents, and 13 (18.1%) senior physicians. Further, 50 (69.4%) respondents had attended prior training in mechanical ventilation. Moreover, 21 (29.2%) of the respondents could correctly identify PVAs. Double-triggering was the most frequently identified PVA type, 43 (59.7%), followed by auto-triggering, 36 (50%); premature cycling, 28 (38.9%); and ineffective efforts, 25 (34.7%). Univariate analysis indicated that senior physicians had a better ability to correctly identify PVAs than residents (7 [53.8%] vs 14 [23.7%],\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = .044).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>The present study revealed a significant deficiency in the accurate visual identification of PVAs among CCPs in the MICUs. When compared to residents, senior physicians exhibited a notably superior aptitude for correctly recognizing PVAs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4187\/respcare.11360","type":"journal-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T09:55:18Z","timestamp":1701165318000},"page":"176-183","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["The Ability of Critical Care Physicians to Identify Patient-Ventilator Asynchrony Using Waveform Analysis: A National Survey"],"prefix":"10.1177","volume":"69","author":[{"given":"Rym","family":"Chelbi","sequence":"first","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farah","family":"Thabet","sequence":"additional","affiliation":[{"name":"University of Monastir, Faculty of Medicine of Monastir, Monastir, Tunisia; and Pediatric Department, Fattouma Bourguiba University Hospital, Monastir, Tunisia; University of Medicine of Monastir, Monastir, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emna","family":"Ennouri","sequence":"additional","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khaoula","family":"Meddeb","sequence":"additional","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Radhouane","family":"Toumi","sequence":"additional","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marwa","family":"Zghidi","sequence":"additional","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Imen","family":"Ben Saida","sequence":"additional","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed","family":"Boussarsar","sequence":"additional","affiliation":[{"name":"University of Sousse, Faculty of Medicine of Sousse, 4002, Sousse, Tunisia; and Farhat Hached University Hospital, Medical Intensive Care Unit, Research Laboratory \u201cHeart Failure,\u201d LR12SP09, 4000, Sousse, Tunisia."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,1,24]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.4187\/respcare.01009"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-006-0301-8"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-200002000-00019"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1378\/chest.112.6.1592"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-016-4423-3"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-015-3702-8"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-015-3692-6"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201212-2214CI"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1208707"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.23736\/S0375-9393.19.13418-9"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10122738"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1097\/MCC.0000000000000307"},{"key":"e_1_3_2_14_2","first-page":"e6942497","article-title":"Accuracy of algorithms and visual inspection for detection of trigger asynchrony in critical patients: a systematic review","volume":"2021","author":"Bandeira M","year":"2021","unstructured":"Bandeira M, , Almeida A, , Melo L, , de Moura PH, , Ribeiro Silva EO, , Silva J, et al. Accuracy of algorithms and visual inspection for detection of trigger asynchrony in critical patients: a systematic review. Crit Care Res Pract, 2021; 2021:e6942497.","journal-title":"Crit Care Res Pract"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-005-2828-5"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1183\/23120541.00075-2017"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.4187\/respcare.05500202"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201312-2193CI"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.4187\/respcare.04750"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-021-06737-1"},{"issue":"7","key":"e_1_3_2_21_2","first-page":"6","article-title":"Patient-ventilator asynchronies: types, outcomes, and nursing detection skills","volume":"89","author":"Bulleri E","year":"2018","unstructured":"Bulleri E, , Fusi C, , Bambi S, , Pisani L. 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Monitoring of sedation in mechanically ventilated patients using remote technology. Curr Opin Crit Care, 2022; 28(3):360\u2013366.","journal-title":"Curr Opin Crit Care"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.23736\/S0375-9393.20.15087-9"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.4187\/respcare.09316"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1177\/0310057X20978981"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.4187\/respcare.01006"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aucc.2020.11.008"},{"issue":"6","key":"e_1_3_2_35_2","first-page":"101153","article-title":"Waveforms-guided cycling-off during pressure support ventilation improves both inspiratory and expiratory patient-ventilator synchronisation","volume":"41","author":"Mojoli F","year":"2022","unstructured":"Mojoli F, , Orlando A, , Bianchi IM, , Puce R, , Arisi E, , Salve G, et al. 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