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This week's featured articles

5/15/2022

Expeditionary Mechanical Ventilation in Conjunction With Extracorporeal Life Support During Ground Transport

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Beely BM, Harea GT, Wendorff DS, Choi JH, Sieck K, Karaliou V, Cannon JW, Lantry JH, Cancio LC, Sams VG, Batchinsky AI. 22(1). 64 - 69. (Journal Article)

Abstract

Background: We assessed the use of an FDA-cleared transport ventilator with limited functions and settings during ground transport in a swine model of ground evacuation. We hypothesized that when used as an adjunct to extracorporeal life support (ECLS), the device would enable safe mobile ventilatory support during ground evacuation. Methods: Female Yorkshire swine (n = 11; mean, 52.4 ± 1.3 kg) were sedated and anesthetized and received mechanical ventilation (MV) with a standard intensive care unit (ICU) ventilator and were transitioned to the Simplified Automated Ventilator II (SAVe II; AutoMedx) during ground transport. MV served as an adjunct to ECLS in all animals. Ventilator performance was assessed in the uninjured state on day 1 and after bilateral pulmonary contusion on day 2. Data were collected pre- and post-transport on both days. Results: During 33 transports, the SAVe II provided similar ventilation support as the ICU ventilator. Mean total transport time was 38.8 ± 2.1 minutes. The peak inspiratory pressure (PIP) limit was the only variable to show consistent differences pre- and post-transport and between ventilators. No adverse events occurred. Conclusion: As an adjunctive supportive device during ground transport, the SAVe II performed adequately without failure or degradation in subject status. Further testing is warranted to elucidate the clinical limits of this device during standalone use.

Keywords: acute respiratory distress syndrome; trauma; extracorporeal life support; Mechanical Ventilation; expeditionary ground evacuation

PMID: 35278316

DOI: LI26-W9AR

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Linear Regression as a Method to Prioritize Humanitarian Efforts in Stability Operations

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Nicholson J, Perry MJ. 22(1). 92 - 96. (Journal Article)

Abstract

With a mandate to work by, with, and through host nation partners, Special Operations Forces (SOF) often face the challenge of pursuing humanitarian endeavors in the hopes of securing access to a specific population and mapping the human terrain. Likewise, should limitations in the rules of engagement (ROE) shift incentives from lethal to non-lethal effects, commanders must find unique ways to exert influence on the operational environment. However, with inevitable resource constraints such as money and time, it can be exceedingly difficult to determine which humanitarian project to undertake, especially in a population whose needs are multifaceted. Linear regression, a statistical tool available within the standard Microsoft Excel package on government computers, permits the modeling of predictive outcomes between a number of independent variables against a dependent variable. This allows the determination of significance and effect for each independent variable, which can facilitate a thoughtful recommendation to commanders for project selection. Using Iraq as an example, publicly available information (PAI) provides a wealth of records to make data-driven assessments for mutually beneficial shaping efforts in a stability operations framework. Additionally, this paper will highlight how data can be analyzed without a reliance on statistical software that is unlikely to be present in the tactical environment.

Keywords: humanitarian; stability operations; linear regression

PMID: 35278321

DOI: GOO4-57N3

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