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Erkennung von Asynchronien zwischen Patient und Beatmungsgerät mithilfe der Kurvenformanalyse. Die Übersichtskarte

Asynchronien. Mangelnde Abstimmung zwischen Patient und Beatmungsgerät

Asynchronien zwischen Patient und Beatmungsgerät beruhen auf einer mangelnden Abstimmung zwischen den Inspirations- und Exspirationszeiten des Patienten und des Beatmungsgerätes. Eine gängige Methode, mit der Asynchronien erkannt werden, ist die Untersuchung der Kurvenformen am Beatmungsgerät. Es gibt verschiedene Typen von Asynchronien, die an ihren markanten Eigenschaften in der Kurve erkennbar sind. Ein gut geschultes Auge kann Asynchronien erkennen, indem es entweder die Flow- oder die Druckkurve analysiert (Tassaux D, Gainnier M, Battisti A, Jolliet P. Impact of expiratory trigger setting on delayed cycling and inspiratory muscle workload. Am J Respir Crit Care Med. 2005;172(10):1283-1289. doi:10.1164/rccm.200407-880OC1​, Thille AW, Rodriguez P, Cabello B, Lellouche F, Brochard L. Patient-ventilator asynchrony during assisted mechanical ventilation. Intensive Care Med. 2006;32(10):1515-1522. doi:10.1007/s00134-006-0301-82​, Blanch L, Villagra A, Sales B, et al. Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med. 2015;41(4):633-641. doi:10.1007/s00134-015-3692-63​, Mojoli et al. Automatic monitoring of plateau and driving pressure during pressure and volume controlled ventilation. Intensive Care Medicine Experimental 2015 3(Suppl 1):A998.4​).

Übersichtskarte herunterladen
Übersichtskarten zur Asynchronie Übersichtskarten zur Asynchronie

Die Übersichtskarte. Ihr Hilfsmittel bei der Erkennung von Asynchronien zwischen Patient und Beatmungsgerät

Um Sie dabei zu unterstützen, die typischen Erkennungsmerkmale eines jeden Asynchronietyps zu identifizieren, haben wir eine zweiseitige Übersichtskarte (auch „Cheatsheet“ genannt) zusammengestellt, die Sie unter dem Link unten herunterladen können.

Die Übersichtskarte bietet auf einen Blick:

  • Die 7 Haupttypen von Asynchronien

  • Hinweise, was bei der Druck- und Flow-Kurve zu beachten ist

  • Ein grafisch dargestelltes Beispiel für eine Kurvenform mit Hervorhebung des auffälligsten Erkennungsmerkmals

  • Häufige mögliche Ursachen für die verschiedenen Typen von Asynchronien

Den Asynchronien zwischen Patient und Beatmungsgerät auf der Spur. Mit dem Formular zur Übersichtskarte

Verpassen Sie nicht die Gelegenheit, Ihre Kenntnisse in der maschinellen Beatmung zu erweitern.

Referenzen

  1. 1. Tassaux D, Gainnier M, Battisti A, Jolliet P. Impact of expiratory trigger setting on delayed cycling and inspiratory muscle workload. Am J Respir Crit Care Med. 2005;172(10):1283-1289. doi:10.1164/rccm.200407-880OC
  2. 2. Thille AW, Rodriguez P, Cabello B, Lellouche F, Brochard L. Patient-ventilator asynchrony during assisted mechanical ventilation. Intensive Care Med. 2006;32(10):1515-1522. doi:10.1007/s00134-006-0301-8

 

  1. 3. Blanch L, Villagra A, Sales B, et al. Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med. 2015;41(4):633-641. doi:10.1007/s00134-015-3692-6
  2. 4. Mojoli et al. Automatic monitoring of plateau and driving pressure during pressure and volume controlled ventilation. Intensive Care Medicine Experimental 2015 3(Suppl 1):A998.

Fußnoten

 

Impact of expiratory trigger setting on delayed cycling and inspiratory muscle workload.

Tassaux D, Gainnier M, Battisti A, Jolliet P. Impact of expiratory trigger setting on delayed cycling and inspiratory muscle workload. Am J Respir Crit Care Med. 2005;172(10):1283-1289. doi:10.1164/rccm.200407-880OC



RATIONALE

During pressure-support ventilation, the ventilator cycles into expiration when inspiratory flow decreases to a given percentage of peak inspiratory flow ("expiratory trigger"). In obstructive disease, the slower rise and decrease of inspiratory flow entails delayed cycling, an increase in intrinsic positive end-expiratory pressure, and nontriggering breaths.

OBJECTIVES

We hypothesized that setting expiratory trigger at a higher than usual percentage of peak inspiratory flow would attenuate the adverse effects of delayed cycling.

METHODS

Ten intubated patients with obstructive disease undergoing pressure support were studied at expiratory trigger settings of 10, 25, 50, and 70% of peak inspiratory flow.

MEASUREMENTS

Continuous recording of diaphragmatic EMG activity with surface electrodes, and esophageal and gastric pressures with a dual-balloon nasogastric tube.

MAIN RESULTS

Compared with expiratory trigger 10, expiratory trigger 70 reduced the magnitude of delayed cycling (0.25 +/- 0.18 vs. 1.26 +/- 0.72 s, p < 0.05), intrinsic positive end-expiratory pressure (4.8 +/- 1.9 vs. 6.5 +/- 2.2 cm H(2)O, p < 0.05), nontriggering breaths (2 +/- 3 vs. 9 +/- 5 breaths/min, p < 0.05), and triggering pressure-time product (0.9 +/- 0.8 vs. 2.1 +/- 0.7 cm H2O . s, p < 0.05).

CONCLUSIONS

Setting expiratory trigger at a higher percentage of peak inspiratory flow in patients with obstructive disease during pressure support improves patient-ventilator synchrony and reduces inspiratory muscle effort. Further studies should explore whether these effects can influence patient outcome.

Patient-ventilator asynchrony during assisted mechanical ventilation.

Thille AW, Rodriguez P, Cabello B, Lellouche F, Brochard L. Patient-ventilator asynchrony during assisted mechanical ventilation. Intensive Care Med. 2006;32(10):1515-1522. doi:10.1007/s00134-006-0301-8



OBJECTIVE

The incidence, pathophysiology, and consequences of patient-ventilator asynchrony are poorly known. We assessed the incidence of patient-ventilator asynchrony during assisted mechanical ventilation and we identified associated factors.

METHODS

Sixty-two consecutive patients requiring mechanical ventilation for more than 24 h were included prospectively as soon as they triggered all ventilator breaths: assist-control ventilation (ACV) in 11 and pressure-support ventilation (PSV) in 51.

MEASUREMENTS

Gross asynchrony detected visually on 30-min recordings of flow and airway pressure was quantified using an asynchrony index.

RESULTS

Fifteen patients (24%) had an asynchrony index greater than 10% of respiratory efforts. Ineffective triggering and double-triggering were the two main asynchrony patterns. Asynchrony existed during both ACV and PSV, with a median number of episodes per patient of 72 (range 13-215) vs. 16 (4-47) in 30 min, respectively (p=0.04). Double-triggering was more common during ACV than during PSV, but no difference was found for ineffective triggering. Ineffective triggering was associated with a less sensitive inspiratory trigger, higher level of pressure support (15 cmH(2)O, IQR 12-16, vs. 17.5, IQR 16-20), higher tidal volume, and higher pH. A high incidence of asynchrony was also associated with a longer duration of mechanical ventilation (7.5 days, IQR 3-20, vs. 25.5, IQR 9.5-42.5).

CONCLUSIONS

One-fourth of patients exhibit a high incidence of asynchrony during assisted ventilation. Such a high incidence is associated with a prolonged duration of mechanical ventilation. Patients with frequent ineffective triggering may receive excessive levels of ventilatory support.

Asynchronies during mechanical ventilation are associated with mortality.

Blanch L, Villagra A, Sales B, et al. Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med. 2015;41(4):633-641. doi:10.1007/s00134-015-3692-6



PURPOSE

This study aimed to assess the prevalence and time course of asynchronies during mechanical ventilation (MV).

METHODS

Prospective, noninterventional observational study of 50 patients admitted to intensive care unit (ICU) beds equipped with Better Care™ software throughout MV. The software distinguished ventilatory modes and detected ineffective inspiratory efforts during expiration (IEE), double-triggering, aborted inspirations, and short and prolonged cycling to compute the asynchrony index (AI) for each hour. We analyzed 7,027 h of MV comprising 8,731,981 breaths.

RESULTS

Asynchronies were detected in all patients and in all ventilator modes. The median AI was 3.41 % [IQR 1.95-5.77]; the most common asynchrony overall and in each mode was IEE [2.38 % (IQR 1.36-3.61)]. Asynchronies were less frequent from 12 pm to 6 am [1.69 % (IQR 0.47-4.78)]. In the hours where more than 90 % of breaths were machine-triggered, the median AI decreased, but asynchronies were still present. When we compared patients with AI > 10 vs AI ≤ 10 %, we found similar reintubation and tracheostomy rates but higher ICU and hospital mortality and a trend toward longer duration of MV in patients with an AI above the cutoff.

CONCLUSIONS

Asynchronies are common throughout MV, occurring in all MV modes, and more frequently during the daytime. Further studies should determine whether asynchronies are a marker for or a cause of mortality.

Automatic monitoring of plateau and driving pressure during pressure and volume controlled ventilation

Mojoli et al. Automatic monitoring of plateau and driving pressure during pressure and volume controlled ventilation. Intensive Care Medicine Experimental 2015 3(Suppl 1):A998.