Protocol conception for safe selection of mechanical ventilation settings for respiratory failure patients

• Main Authors: Wing, Jay Wai Lee, Yeong, Shiong Chiew, Xin, Wang, Chee, Pin Tan, Mat Nor, Mohd Basri, Cove, Matthew E., Damanhuri, Nor Salwa, Chase, J. Geoffrey
• Format: Article
• Language: English; English
• Published: Elsevier B.V 2022
• Subjects: RC731 Specialties of Internal Medicine-Diseases of The Respiratory System
• Online Access: http://irep.iium.edu.my/96913/1/96913_Protocol%20conception%20for%20safe%20selection.pdf; http://irep.iium.edu.my/96913/7/96913_Protocol%20conception%20for%20safe%20selection_SCOPUS.pdf; http://irep.iium.edu.my/96913/; https://pdf.sciencedirectassets.com/271322/1-s2.0-S0169260721X0017X/1-s2.0-S0169260721006519/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEC0aCXVzLWVhc3QtMSJHMEUCIQCJKEBtfoj7PsMLbPtB%2BgeOb2ozsNu%2FwHIe4HVJ3cIPEQIgB2OqsqdJxcrrPF8vjJTokLXfaLgHA48N0OVwd5wVJnsqgwQIhf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAEGgwwNTkwMDM1NDY4NjUiDOYVEdCM6EDh8HI7%2FSrXAzg4ncSi9g3gxSz0fTr5sXaa4z4Uhje20ZevSNO8AWKGMoIQcPN6QV1jo%2BMjDymUmQBgGcGs6dVXAdvDHgVu7rdeB727VoeQgmAO1%2B6RU6yrEF1ki8z7ypwauQgy3qpKn0cvjAvshn25NTrS21egrOKq%2Bht8BbecgP8pUpFvrB6WTy64xL7xlnVTrxZNsi081dOhevt%2Fd5i7UnmRfKWqv46BHRO5OKnVSKDy4CHQlcO%2BcO6j2lOQK3XXEDKJBoB%2BJmJ9IXRwcbnmTbQ%2F3Si1CD5LGOobB3yP3k%2Fndk2phYREI3Xc5qEW45thdAvgUGhz5%2FDYQlkVBzN2yQETltPbcLUTXLMYza%2FDT%2F518mohS7wJDYHocH9PR7gPw61op6mnz8k1LSl1QRvOYIlciyMn3zXFmlWcDba2gCB0uJNIuRXxldZcs34sokt0A%2Be%2FR8VwzBhORk5J4hFCJGqka1JS%2FLkbP9N8bcu36JZtZRVVQA7%2BLmejJfw9BICJzgap8rhFvoUceJYEg2EVDuArJLCuZdWHMz%2Bb1QsGwbFjr34snhJkNnf%2B%2FTBlIdjQL3g4djzQuLlJdBiGTrlhpG1H0Jin26M%2BIdwKvp6e%2B7yg8Cx2KlO54R1ZUEpHPjDBityQBjqlAVJiEFOxuyXK%2BAghApKYtR0zbdOM5PH1BGcyx1PmNGzivt9LB3EA0jMdmdrZMup2ZM1Gj8JWxQUAT19GFzABzI6mnnt8SzDWwUQjURdiCqhNp2RY2uC1JUFzn%2B%2BmVxDTpQRRclvnZ2AihsXvmUvdWfmjXK6UWv2ae3JSqtBAzsaJj0%2FmmJQkrwxp1sFsarVX7XTtXLmg1hDuRH5b9NT1JNXqmk5JdQ%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20220224T044346Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY3UYIBROP%2F20220224%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=495a50296b9aebdcb3fa8fe5c2daa13027e322cc7bbc2d722bb014012d2e94d9&hash=8e7b1530e59ea67d70460036a6e53eb923e2ca3faa787d9dad109d79d43b4235&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0169260721006519&tid=spdf-143e3ba2-389b-4524-9fee-043d14548baf&sid=a45e5fa79173d947b83981b8ee173b4c7f38gxrqb&type=client&ua=570454545f58040905&rr=6e2608efe824390f

Background and Objective Mechanical ventilation is the primary form of care provided to respiratory failure patients. Limited guidelines and conflicting results from major clinical trials means selection of mechanical ventilation settings relies heavily on clinician experience and intuition. Determining optimal mechanical ventilation settings is therefore difficult, where non-optimal mechanical ventilation can be deleterious. To overcome these difficulties, this research proposes a model-based method to manage the wide range of possible mechanical ventilation settings, while also considering patient-specific conditions and responses. Methods This study shows the design and development of the “VENT” protocol, which integrates the single compartment linear lung model with clinical recommendations from landmark studies, to aid clinical decision-making in selecting mechanical ventilation settings. Using retrospective breath data from a cohort of 24 patients, 3,566 and 2,447 clinically implemented VC and PC settings were extracted respectively. Using this data, a VENT protocol application case study and clinical comparison is performed, and the prediction accuracy of the VENT protocol is validated against actual measured outcomes of pressure and volume. Results The study shows the VENT protocols’ potential use in narrowing an overwhelming number of possible mechanical ventilation setting combinations by up to 99.9%. The comparison with retrospective clinical data showed that only 33% and 45% of clinician settings were approved by the VENT protocol. The unapproved settings were mainly due to exceeding clinical recommended settings. When utilising the single compartment model in the VENT protocol for forecasting peak pressures and tidal volumes, median [IQR] prediction error values of 0.75 [0.31 – 1.83] cmH2O and 0.55 [0.19 – 1.20] mL/kg were obtained. Conclusions Comparing the proposed protocol with retrospective clinically implemented settings shows the protocol can prevent harmful mechanical ventilation setting combinations for which clinicians would be otherwise unaware. The VENT protocol warrants a more detailed clinical study to validate its potential usefulness in a clinical setting.