The Ability of Critical Care Physicians to Identify Patient-Ventilator Asynchrony Using Waveform Analysis: A National Survey

被引:0
作者
Chelbi, Rym [1 ,2 ]
Thabet, Farah [3 ,4 ,5 ]
Ennouri, Emna [1 ,2 ]
Meddeb, Khaoula [1 ,2 ]
Toumi, Radhouane [1 ,2 ]
Zghidi, Marwa [1 ,2 ]
Ben Saida, Imen [1 ,2 ]
Boussarsar, Mohamed [1 ,2 ]
机构
[1] Univ Sousse, Fac Med Sousse, Sousse 4002, Tunisia
[2] Farhat Hached Univ Hosp, Med Intens Care Unit, Res Lab Heart Failure, LR12SP09, Sousse 4000, Tunisia
[3] Univ Monastir, Fac Med Monastir, Monastir, Tunisia
[4] Fattouma Bourguiba Univ Hosp, Pediat Dept, Monastir, Tunisia
[5] Univ Med Monastir, Monastir, Tunisia
关键词
patient-ventilator asynchrony; waveform analysis; respiratory support; mechanical ventilation; identification accuracy; education and training; critical care physicians; INFLICTED LUNG INJURY; MECHANICAL VENTILATION; PRESSURE; PROFESSIONALS; DYSSYNCHRONY; ESOPHAGEAL; ARDS;
D O I
暂无
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
BACKGROUND: 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. METHODS: 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. RESULTS: 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%], P 5 .044). CONCLUSIONS: 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.
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页码:176 / 183
页数:8
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