Monitoring Big Data During Mechanical Ventilation in the ICU

Smallwood, Craig D

doi:10.4187/respcare.07500

Cited by 9 publications

(3 citation statements)

References 54 publications

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“…However, due to the influence of many factors, MV will inevitably lead to adverse postoperative outcomes, such as weaning difficulties caused by serious respiratory fatigue, spontaneous respiratory arrest, and prolonged treatment time [ 17 ]. Referring to the previous data, we found that DD was one of the important reasons for the difficulty and failure of weaning [ 18 ]. Therefore, active prevention and treatment of DD is of great significance to help patients recover as soon as possible and improve postoperative outcomes.…”

Section: Resultssupporting

confidence: 63%

Influence of Dexmedetomidine on Diaphragm Function and Postoperative Outcomes in ICU Patients with Mechanical Ventilation

Zhao

Huang

Wang

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Objective. To probe into the influence of dexmedetomidine (DEX) on diaphragm function and postoperative outcomes of mechanically ventilated patients in the intensive care unit (ICU). Methods. 84 patients with mechanical ventilation (MV) in the ICU of our hospital were selected as the research participants, including 38 patients in the control group (CG) sedated with midazolam (MZ) and 46 patients in the research group (RG) with DEX sedation. Ramsay sedation score, visual analogue scale (VAS), and restlessness score (RS) were used to evaluate their state before sedation (T0), as well as 2 h (T1), 6 h (T2), and 24 h (T3) after sedation, and the alterations of mean arterial pressure (MAP) and heart rate (HR) were recorded. Serum cortisol (Cor), adrenocorticotropic hormone (ACTH), superoxide dismutase (SOD), malondialdehyde (MDA), interleukin- (IL-) 1β, IL-6, and tumor necrosis factor-α (TNF-α) were measured before and 24 h after sedation. The end-inspiratory diaphragm thickness (DTei) and end-expiratory diaphragm thickness (DTee) were measured within 2 h after the initiation of MV and 5 min after the spontaneous breathing test (SBT), and the diaphragm thickening fraction (DTF) was calculated. Finally, the ventilator weaning, MV time, and the incidence of adverse reactions (ADs) of the two groups were counted. Results. T0 and T3 witnessed no distinct difference in Ramsay, VAS, and RS scores between the two arms ( P > 0.05 ), but at T1 and T2, RG had better sedation state and lower VAS and RS scores than CG ( P < 0.05 ), with more stable vital signs ( P < 0.05 ). After sedation, the contents of oxidative stress and inflammatory factors in RG were lower, while DTee, DTei, and DTF were higher, versus CG ( P < 0.05 ). Moreover, RG presented higher success rate of first ventilator weaning, less MV time, and lower incidence of ADs than CG ( P < 0.05 ). Conclusions. DEX is effective in mechanically ventilated patients in the ICU, which can protect patients against diaphragm function damage, improve the success rate of ventilator weaning, and benefit the postoperative outcome, with excellent and rapid sedation effect and less stress damage to patients.

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Section: Resultssupporting

confidence: 63%

Influence of Dexmedetomidine on Diaphragm Function and Postoperative Outcomes in ICU Patients with Mechanical Ventilation

Zhao

Huang

Wang

et al. 2021

Evidence-Based Complementary and Alternative Medicine

View full text Add to dashboard Cite

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“…Smallwood [16] emphasized using a big data technique during MV in the ICU because many aspects in the ICU are not well informed by high-quality, large, randomized controlled trials (RCTs), and high-variability among providers. It is not evitable due to that individual patient data is complex.…”

Section: Related Workmentioning

confidence: 99%

“…Meanwhile, MLA's indirect MV intervention is primarily used to predict health outcomes and evaluate clinical interventions. Because there is no need to intervene in the MV directly, retrospective studies are a good way to evaluate direct MV intervention by MLA in a safe manner [16]. The existing trends of MLA application studies demonstrate the feasibility and the promising of MLA as a direct MV intervention.…”

Section: Research Question 1: How Does the Integration Of ML And Vm C...mentioning

confidence: 99%

Mechanical ventilation intervention based on machine learning from vital signs monitoring: a scoping review

Baidillah

Busono

Riyanto

2023

Meas. Sci. Technol.

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BackgroundAsynchronous breathing (AB) during mechanical ventilation (MV) may lead to a detrimental effect on the patient's condition. Due to the massive amount of data displayed in a large ICU, a machine learning algorithm (MLA) was proposed extensively to extract the patterns within the multiple continuous-in-time vital signs, to determine which are the variables that will predict the AB, to intervene in the MV as an early warning system, and finally to replace a highly demand of clinician's cognition. ObjectiveThis study reviews the MLA for prediction and detection models from vital signs monitoring data for MV intervention. MethodsPublication on MLA development on MV intervention based on vital signs monitoring to support clinicians' decision-making process was extracted from the three electronic academic research databases Web of Science Core Collection (WoSCC), ScienceDirect, and PUBMED Central to February 2023. Findings838 papers from the electronic academic research databases are extracted. There are 14 review papers, while 25 related papers that pass with the Quality Assessments (QA). ConclusionsFew studies have been published that considered VS monitoring data along with the MV parameters waveforms for MV intervention. Vital signs monitoring data is not the only predictor in the developed MLA. Most studies suggested that developing the MLA for direct MV intervention requires more concern in the pre-processing of real-time data to avoid false positive and false detection than developing MLA itself. 

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The impact of “Big Data” on beginning-of-life issues

Sacchini,

Spagnolo

2023

Clinical Ethics at the Crossroads of Genetic and Reproductive Technologies

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Monitoring Big Data During Mechanical Ventilation in the ICU

Cited by 9 publications

References 54 publications

Influence of Dexmedetomidine on Diaphragm Function and Postoperative Outcomes in ICU Patients with Mechanical Ventilation

Influence of Dexmedetomidine on Diaphragm Function and Postoperative Outcomes in ICU Patients with Mechanical Ventilation

Mechanical ventilation intervention based on machine learning from vital signs monitoring: a scoping review

The impact of “Big Data” on beginning-of-life issues

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