Invasive mechanical ventilation in the emergency department

Bayram, Başak; Şancı, Emre

doi:10.1016/j.tjem.2019.03.001

Cited by 17 publications

(20 citation statements)

References 52 publications

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“…The inspiratory trigger is defined as the condition that allows determining the beginning of inspiration and the end of expiration, and therefore defines the expiration time (Exp Time ) and the imposition of the IPAP pressure setpoint [16,30]. On the other hand, the cycling condition determines the end of inspiration and the beginning of expiration, that is, it defines the inspiration time (Insp Time ) and the imposition of the EPAP pressure setpoint [16,30]. Both conditions can be given by airflow (assisted mode) or by time (controlled mode).…”

Section: Operating Principlementioning

confidence: 99%

“…) and the imposition of the IPAP pressure setpoint [16,30]. On the other hand, the cycling condition determines the end of inspiration and the beginning of expiration, that is, it defines the inspiration time (Ins ) and the imposition of the EPAP pressure setpoint [16,30]. Both conditions can be given by airflow (assisted mode) or by time (controlled mode).…”

Section: Operating Principlementioning

confidence: 99%

“…The trigger level can be selected according to the patient's respiratory conditions so that the selected value maintains a compromise between vulnerability to false triggers and the inspiratory effort required by the patient, which may result in the patient failing to synchronize with the ventilator [16,33].…”

Section: Operating Principlementioning

confidence: 99%

“…In the first instance, we can find models made with 3D designs and electrical motors that generate the airflow through a compression mechanism regulated in time and volume over an airway mask bag unit (AMBU) [13,14] or bag valve mask (BVM) [15,16]. These proposals are characterized by a simple, open-source, low-cost, and high reproducibility ventilator model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

ResUHUrge: A Low Cost and Fully Functional Ventilator Indicated for Application in COVID-19 Patients

Vivas

Segovia

Bravo

et al. 2020

Sensors

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Although the cure for the SARS-CoV-2 virus (COVID-19) will come in the form of pharmaceutical solutions and/or a vaccine, one of the only ways to face it at present is to guarantee the best quality of health for patients, so that they can overcome the disease on their own. Therefore, and considering that COVID-19 generally causes damage to the respiratory system (in the form of lung infection), it is essential to ensure the best pulmonary ventilation for the patient. However, depending on the severity of the disease and the health condition of the patient, the situation can become critical when the patient has respiratory distress or becomes unable to breathe on his/her own. In that case, the ventilator becomes the lifeline of the patient. This device must keep patients stable until, on their own or with the help of medications, they manage to overcome the lung infection. However, with thousands or hundreds of thousands of infected patients, no country has enough ventilators. If this situation has become critical in the Global North, it has turned disastrous in developing countries, where ventilators are even more scarce. This article shows the race against time of a multidisciplinary research team at the University of Huelva, UHU, southwest of Spain, to develop an inexpensive, multifunctional, and easy-to-manufacture ventilator, which has been named ResUHUrge. The device meets all medical requirements and is developed with open-source hardware and software.

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Section: Operating Principlementioning

confidence: 99%

Section: Operating Principlementioning

confidence: 99%

Section: Operating Principlementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ResUHUrge: A Low Cost and Fully Functional Ventilator Indicated for Application in COVID-19 Patients

Vivas

Segovia

Bravo

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Learners had to listen for bilateral breath sounds to assess for pneumothorax, recognize high auto-positive end-expiratory pressure (auto-PEEP), disconnect the ventilator, and adjust the respiratory rate and inspiratory to expiratory ratio to allow adequate time for exhalation. The case was concluded with a debriefing session on the importance of recognition of auto-PEEP and the use of permissive hypercapnia in patients with obstructive lung disease and to recognize the findings of auto-PEEPing on a ventilator [10,11].…”

Section: Small-group Stations 1) Ventilator Managementmentioning

confidence: 99%

Critical Care Education Day: A Novel, Multidisciplinary, and Interactive Critical Care Education Session for Emergency Medicine Residents

Htet

Gordon

Mitarai

2020

Cureus

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Critical care medicine (CCM) is central to emergency medicine (EM) resident education. We feel that the traditional lecture format is not the ideal way to teach EM critical care, which requires integration and prioritization of diagnostic workup and team-based resuscitation under time pressure. We describe a novel critical care education day where an interactive, practical, and multidisciplinary critical care educational experience was provided for EM residents using casebased small-group sessions and fast-paced simulation.

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A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis

Ding,

Feng,

Yang

et al. 2024

JACEP Open

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ObjectiveTo analyze the risk factors associated with intubated critically ill patients in the emergency department (ED) and develop a prediction model by machine learning algorithms.MethodsThis study was conducted in an academic tertiary hospital in Hangzhou, China. Critically ill patients admitted to the ED were retrospectively analyzed from May 2018 to July 2022. The demographic characteristics, distribution of organ dysfunction, parameters for different organs’ examination, and status of mechanical ventilation were recorded. These patients were assigned to the intubation and non‐intubation groups according to ventilation support. We used the eXtreme Gradient Boosting (XGBoost) algorithm to develop the prediction model and compared it with other algorithms, such as logistic regression, artificial neural network, and random forest. SHapley Additive exPlanations was used to analyze the risk factors of intubated critically ill patients in the ED.ResultsOf 14,589 critically ill patients, 10,212 comprised the training group and 4377 comprised the test group; 2289 intubated patients were obtained from the electronic medical records. The mean age, mean scores of vital signs, parameters of different organs, and blood oxygen examination results differed significantly between the two groups (p < 0.05). The white blood cell count, international normalized ratio, respiratory rate, and pH are the top four risk factors for intubation in critically ill patients. Based on the risk factors in different predictive models, the XGBoost model showed the highest area under the receiver operating characteristic curve (0.84) for predicting ED intubation.ConclusionsFor critically ill patients in the ED, the proposed model can predict potential intubation based on the risk factors in the clinically predictive model.

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Invasive mechanical ventilation in the emergency department

Cited by 17 publications

References 52 publications

ResUHUrge: A Low Cost and Fully Functional Ventilator Indicated for Application in COVID-19 Patients

ResUHUrge: A Low Cost and Fully Functional Ventilator Indicated for Application in COVID-19 Patients

Critical Care Education Day: A Novel, Multidisciplinary, and Interactive Critical Care Education Session for Emergency Medicine Residents

A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis

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