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    Uncontrolled Donation after Circulatory Death: European practices and recommendations for the development and optimization of an effective programme.

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    Shortage of organs has made a global interest for donation after circulatory death (DCD) to re-emerge. While controlled DCD (cDCD) has been progressively increasing, uncontrolled DCD (uDCD) has only been developed in a few settings.1 This activity is quantitatively important in France and Spain, although it has also been reported in other European countries, as Austria, Belgium, Italy, the Netherlands, and recently in Russia.2,3 uDCD protocols have allowed the transplantation of a significant number of kidneys, livers and lungs at these countries.3 Excellent graft survival has been reported in kidney transplantation from uDCD, in spite of an increased incidence of delayed graft function (DGF).4,5,6,7,8,9,10,11,12,13,14,1516 Albeit promising, results with liver transplants obtained in uDCD protocols do not consistently provide similar outcomes compared with livers from donors after brain death (DBD), mainly due to a higher incidence of primary graft dysfunction and non-function and biliary complications.17,18,19,20,21,22 Lung transplantation is still facing limited experience, but preliminary results are encouraging.pre-print938 K

    ๋น„์นจ์Šต์  ๋‡ŒํŒŒ ์‹ ํ˜ธ๋ฅผ ์ด์šฉํ•œ ์‘๊ธ‰ํ™˜์ž์˜ ์ƒ์ฒด๋ฐ˜์‘ ๋ชจ๋‹ˆํ„ฐ๋ง ๊ธฐ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๋ฐ”์ด์˜ค์—”์ง€๋‹ˆ์–ด๋ง์ „๊ณต, 2021. 2. ๊น€ํฌ์ฐฌ.๋‡ŒํŒŒ๋Š” ๋Œ€๋‡Œํ”ผ์งˆ์ด๋‚˜ ๋‘ํ”ผ์˜ ์ „๊ทน์„ ํ†ตํ•ด์„œ ๋‡Œ์˜ ์ „๊ธฐ์  ์‹ ํ˜ธ๋ฅผ ๊ธฐ๋กํ•œ ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋‡Œ ๊ธฐ๋Šฅ ๊ด€์ฐฐ์„ ์œ„ํ•œ ์ง„๋‹จ๋„๊ตฌ๋กœ์จ ๋‡ŒํŒŒ๋Š” ๋‡Œ์ „์ฆ์ด๋‚˜ ์น˜๋งค ์ง„๋‹จ ๋“ฑ์˜ ๋ชฉ์ ์œผ๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๋น„์นจ์Šต์  ๋‡ŒํŒŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์‘๊ธ‰ํ™˜์ž์˜ ์ฃผ์š” ์ƒ๋ฆฌํ•™์  ์ง€ํ‘œ๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๋Š” ๊ธฐ์ˆ ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ์ฒ˜์Œ ๋‘ ์—ฐ๊ตฌ์—์„œ ์‹ฌํ์†Œ์ƒ์ˆ ์˜ ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•œ ์‹ฌ์ •์ง€ ๋ผ์ง€์‹คํ—˜๋ชจ๋ธ์„ ๊ณ ์•ˆํ•˜์˜€๋‹ค. ํ˜„์žฌ์˜ ์‹ฌํ์†Œ์ƒ์ˆ  ์ง€์นจ์€ ์ฒด์ˆœํ™˜ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด ๊ธฐ๋„์‚ฝ๊ด€์„ ํ†ตํ•œ ํ˜ธ๊ธฐ๋ง ์ด์‚ฐํ™”ํƒ„์†Œ ๋ถ„์••์˜ ์ธก์ •์„ ๊ถŒ๊ณ ํ•œ๋‹ค. ํ•˜์ง€๋งŒ, ์ •ํ™•ํ•œ ๊ธฐ๋„์‚ฝ๊ด€์ด ํŠนํžˆ ๋ณ‘์› ๋ฐ– ์ƒํ™ฉ์—์„œ ์–ด๋ ค์šธ ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ๊ฐ„ํŽธํžˆ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๊ณ  ์†Œ์ƒ ํ™˜์ž์˜ ์‹ ๊ฒฝํ•™์  ์˜ˆํ›„๋ฅผ ์ง„๋‹จํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋˜๋Š” ๋‡ŒํŒŒ๋ฅผ ์ด์šฉํ•œ ์˜ˆ์ธก ๊ธฐ์ˆ ์ด ์‹ฌํ์†Œ์ƒ์ˆ  ํ’ˆ์งˆํ‰๊ฐ€์ง€ํ‘œ์˜ ๋Œ€์•ˆ์œผ๋กœ ์ œ์•ˆ๋˜์—ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ ์‹คํ—˜์—์„œ๋Š” ๊ณ ํ’ˆ์งˆ๊ณผ ์ €ํ’ˆ์งˆ ๊ธฐ๋ณธ์‹ฌํ์†Œ์ƒ์ˆ ์„ 10ํšŒ ๋ฐ˜๋ณตํ•˜๋ฉด์„œ ์ธก์ •๋œ ๋‡ŒํŒŒ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์‹ฌํ์†Œ์ƒ์ˆ ์˜ ํ’ˆ์งˆ์— ๋”ฐ๋ฅธ ๋‡ŒํŒŒ์˜ ๋ณ€ํ™”๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฒด์ˆœํ™˜ ํ‰๊ฐ€๋ฅผ ์œ„ํ•œ EEG-based Brain Resuscitation Index (EBRI) ๋ชจ๋ธ์„ ๋„์ถœํ•˜์˜€๋‹ค. EBRI ๋ชจ๋ธ์—์„œ ํš๋“ํ•œ ํ˜ธ๊ธฐ๋ง ์ด์‚ฐํ™”ํƒ„์†Œ ๋ถ„์•• ์˜ˆ์ธก์น˜๋Š” ์‹ค์ œ ๊ฐ’๊ณผ ์–‘์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๋ฉฐ, ๋ณ‘์› ๋ฐ– ์ƒํ™ฉ์—์„œ์˜ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์˜€๋‹ค. ๋‘ ๋ฒˆ์งธ ์‹คํ—˜์—์„œ๋Š” ๋‘ ๊ฐ€์ง€ ์‹ฌํ์†Œ์ƒ์ˆ (๊ธฐ๋ณธ์‹ฌํ์†Œ์ƒ์ˆ , ์ „๋ฌธ์‹ฌํ์†Œ์ƒ์ˆ )์ด ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์ œ์„ธ๋™ ์ง์ „์— ์ˆ˜์ง‘๋œ ๋‡ŒํŒŒ๋Š” ์‹ฌํ์†Œ์ƒ์ˆ  ๋„์ค‘ ๊ฒฝ๋™๋งฅํ˜ˆ๋ฅ˜์˜ ํšŒ๋ณต๋ฅ ๊ณผ ํ•จ๊ป˜ ๋ถ„์„๋˜์—ˆ๋‹ค. ์‹ฌํ์†Œ์ƒ์ˆ  ๋„์ค‘ ๊ฒฝ๋™๋งฅํ˜ˆ๋ฅ˜์˜ ํšŒ๋ณต๋ฅ ์„ ๋ฐ˜์˜ํ•˜๋Š” ๋‡ŒํŒŒ ๋ณ€์ˆ˜๋ฅผ ๊ทœ๋ช…ํ•œ ํ›„, ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ ๋†’์€ ํšŒ๋ณต๋ฅ (30% ์ด์ƒ)๊ณผ ๋‚ฎ์€ ํšŒ๋ณต๋ฅ (30% ๋ฏธ๋งŒ)์„ ๊ตฌ๋ถ„ํ•˜๋Š” ๊ธฐ๊ณ„ํ•™์Šต ๊ธฐ๋ฐ˜ ์ด์ง„๋ถ„๋ฅ˜๋ชจ๋ธ์„ ๋„์ถœํ•˜์˜€๋‹ค. ์„œํฌํŠธ ๋ฒกํ„ฐ ๋จธ์‹  ๊ธฐ๋ฐ˜์˜ ์˜ˆ์ธก๋ชจ๋ธ์ด 0.853์˜ ์ •ํ™•๋„์™€ 0.909์˜ ๊ณก์„ ํ•˜๋ฉด์ ์„ ๋ณด์ด๋ฉฐ ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์˜ˆ์ธก๋ชจ๋ธ์€ ์‹ฌ์ •์ง€ ํ™˜์ž์˜ ๋‡Œ ์†Œ์ƒ์„ ํ–ฅ์ƒ์‹œ์ผœ ๋น ๋ฅธ ๋‡Œ ๊ธฐ๋Šฅ ํšŒ๋ณต์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•  ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ์„ธ ๋ฒˆ์งธ ์—ฐ๊ตฌ์—์„œ ๋น„์นจ์Šต์  ๋‡ŒํŒŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋‘๊ฐœ๋‚ด์••์„ ์˜ˆ์ธกํ•˜๋Š” ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ธฐ ์œ„ํ•œ ์™ธ์ƒ์„ฑ ๋‡Œ์†์ƒ ๋ผ์ง€์‹คํ—˜๋ชจ๋ธ์ด ๊ณ ์•ˆ๋˜์—ˆ๋‹ค. ์™ธ์ƒ์„ฑ ๋‡Œ์†์ƒ์€ ๋ฌผ๋ฆฌ์  ์ถฉ๊ฒฉ์— ์˜ํ•ด ์ •์ƒ์ ์ธ ๋‡Œ ๊ธฐ๋Šฅ์ด ์ค‘๋‹จ๋œ ์ƒํƒœ๋ฅผ ์˜๋ฏธํ•˜๋ฉฐ, ์ด ๋•Œ์˜ ๋‘๊ฐœ๋‚ด์•• ์ƒ์Šน๊ณผ ๊ด€๋ฅ˜์ €ํ•˜๊ฐ€ ๋‡ŒํŒŒ์— ์˜ํ–ฅ์„ ๋ผ์น  ์ˆ˜ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์šฐ๋ฆฌ๋Š” ๋‡ŒํŒŒ ๊ธฐ๋ฐ˜ ๋‘๊ฐœ๋‚ด์•• ์˜ˆ์ธก๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ํด๋ฆฌ์นดํ…Œํ„ฐ๋กœ ์‹คํ—˜๋™๋ฌผ์˜ ๋‘๊ฐœ๋‚ด์••์„ ๋ณ€๊ฒฝํ•˜๋ฉด์„œ ๋‡ŒํŒŒ๋ฅผ ํš๋“ํ•˜์˜€๋‹ค. ๋‘๊ฐœ๋‚ด์••์˜ ์ •์ƒ๊ตฌ๊ฐ„(25 mmHg ๋ฏธ๋งŒ)๊ณผ ์œ„ํ—˜๊ตฌ๊ฐ„(25 mmHg ์ด์ƒ)์„ ์œ ์˜๋ฏธํ•˜๊ฒŒ ๊ตฌ๋ถ„ํ•˜๋Š” ๋‡ŒํŒŒ ๋ณ€์ˆ˜๋ฅผ ๊ทœ๋ช…ํ•œ ํ›„ ๊ธฐ๊ณ„ํ•™์Šต ๊ธฐ๋ฐ˜ ์ด์ง„๋ถ„๋ฅ˜๋ชจ๋ธ์„ ๋„์ถœํ•˜์˜€๋‹ค. ๋‹ค์ธต ํผ์…‰ํŠธ๋ก  ๊ธฐ๋ฐ˜์˜ ์˜ˆ์ธก๋ชจ๋ธ์ด 0.686์˜ ์ •ํ™•๋„์™€ 0.754์˜ ๊ณก์„ ํ•˜๋ฉด์ ์„ ๋ณด์ด๋ฉฐ ๊ฐ€์žฅ ์šฐ์ˆ˜ํ•œ ์„ฑ๋Šฅ์„ ๋ณด์˜€๋‹ค. ๋˜๋‹ค๋ฅธ ๋น„์นจ์Šต ๋ฐ์ดํ„ฐ์ธ ์‹ฌ๋ฐ•์ˆ˜ ์ •๋ณด์™€ ํ•จ๊ป˜ ์‚ฌ์šฉํ•˜์˜€์„ ๋•Œ ์ •ํ™•๋„์™€ ๊ณก์„ ํ•˜๋ฉด์ ์€ ๊ฐ๊ฐ 0.760๊ณผ 0.834๋กœ ํ–ฅ์ƒ๋˜์—ˆ๋‹ค. ์ œ์•ˆ๋œ ์˜ˆ์ธก๋ชจ๋ธ์€ ์‘๊ธ‰์ƒํ™ฉ์—์„œ ๋น„์นจ์Šต์ ์œผ๋กœ ๋‘๊ฐœ๋‚ด์••์„ ๊ด€์ฐฐํ•˜์—ฌ ์ •์ƒ ์ˆ˜์ค€์˜ ๋‘๊ฐœ๋‚ด์••์„ ์œ ์ง€ํ•˜๋Š”๋ฐ ๋„์›€์„ ์ค„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์‘๊ธ‰ํ™˜์ž์˜ ์ฃผ์š” ์ƒ๋ฆฌํ•™์  ์ง€ํ‘œ๋ฅผ ๋น„์นจ์Šต์  ๋‡ŒํŒŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ด€์ฐฐํ•˜๋Š” ์˜ˆ์ธก๋ชจ๋ธ์„ ์ œ์•ˆํ•˜๊ณ  ์„ฑ๋Šฅ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋‡ŒํŒŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ฆ‰๊ฐ์ ์ธ ํ˜ธ๊ธฐ๋ง ์ด์‚ฐํ™”ํƒ„์†Œ ๋ถ„์••, ๊ฒฝ๋™๋งฅํ˜ˆ๋ฅ˜, ๋‘๊ฐœ๋‚ด์••์„ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•œ ์˜ˆ์ธก๋ชจ๋ธ์„ ์ˆ˜๋ฆฝํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ, ๋‡ŒํŒŒ ๋ฐ์ดํ„ฐ๋Š” ์žฅ๊ธฐ๊ฐ„์˜ ์‹ ๊ฒฝํ•™์ , ๊ธฐ๋Šฅ์  ํšŒ๋ณต๊ณผ ํ•จ๊ป˜ ํ‰๊ฐ€๋˜์–ด์•ผ ํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ๊ฐœ๋ฐœํ•œ ์˜ˆ์ธก๋ชจ๋ธ์˜ ์„ฑ๋Šฅ๊ณผ ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์€ ํ–ฅํ›„ ๋‹ค์–‘ํ•œ ์ž„์ƒ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด cerebral performance category์™€ modified Rankin scale ๋“ฑ์˜ ์‹ ๊ฒฝํ•™์  ํ‰๊ฐ€์ง€ํ‘œ์™€ ํ•จ๊ป˜ ๋ถ„์„, ๊ฐœ์„ ๋˜์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.Electroencephalogram (EEG) is a recording of the electrical activity of the brain, measured using electrodes attached to the cerebrum cortex or the scalp. As a diagnostic tool for brain disorders, EEG has been widely used for clinical purposes such as epilepsy- and dementia diagnosis. This study develops an EEG-based noninvasive critical care monitoring method for emergency patients. In the first two studies, ventricular fibrillation swine models were designed to develop EEG-based monitoring methods for evaluating the effectiveness of cardiopulmonary resuscitation (CPR). The CPR guidelines recommend measuring end-tidal carbon dioxide (ETCO2) via endotracheal intubation to assess systemic circulation. However, accurate insertion of the endotracheal tube might be difficult in an out-of-hospital setting (OOHS). Therefore, an easily measurable EEG, which has been used to predict resuscitated patients neurologic prognosis, was suggested as a surrogate indicator for CPR feedback. In the first experimental setup, the high- and low quality CPRs were altered 10 times repeatedly, and the EEG parameters were analyzed. Linear regression of an EEG-based brain resuscitation index (EBRI) was used to estimate ETCO2 levels as a novel feedback indicator of systemic circulation during CPR. A positive correlation was found between the EBRI and the real ETCO2, which indicates the feasibility of EBRI in OOHSs. In the second experimental setup, two types of CPR mode were performed: basic life support and advanced cardiovascular life support. EEG signals that were measured between chest compressions and defibrillation shocks were analyzed to monitor the cerebral circulation with respect to the recovery of carotid blood flow (CaBF) during CPR. Significant EEG parameters were identified to represent the CaBF recovery, and machine learning (ML)-based classification models were established to differentiate between the higher (โ‰ฅ 30%) and lower (< 30%) CaBF recovery. The prediction model based on the support vector machine (SVM) showed the best performance, with an accuracy of 0.853 and an area under the curve (AUC) of 0.909. The proposed models are expected to guide better cerebral resuscitation and enable early recovery of brain function. In the third study, a swine model of traumatic brain injury (TBI) was designed to develop an EEG-based prediction model of an elevated intracranial pressure (ICP). TBI is defined as the disruption of normal brain function due to physical impact. This can increase ICP, and the resulting hypoperfusion can affect the cerebral electrical activity. Thus, we developed EEG-based prediction models to monitor ICP levels. During the experiments, EEG was measured while the ICP was adjusted with the Foley balloon catheter. Significant EEG parameters were determined to differentiate between the normal (< 25 mmHg) and dangerous (โ‰ฅ 25 mmHg) ICP levels and ML-based binary classifiers were established to distinguish between these two groups. The multilayer perceptron model showed the best performance with an accuracy of 0.686 and an AUC of 0.754, which were improved to 0.760 and 0.834, respectively, when a noninvasive heart rate was also used as an input. The proposed prediction models are expected to instantly treat an elevated ICP (โ‰ฅ 25 mmHg) in emergency settings. This study presents a new EEG-based noninvasive monitoring method of the physiologic parameters of emergency patients, especially in an OOHS, and evaluates the performance of the proposed models. In this study, EEG was analyzed to predict immediate ETCO2, CaBF, and ICP. The prediction models demonstrate that a noninvasive EEG can yield clinically important predictive outcomes. Eventually, the EEG parameters should be investigated with regard to the long-term neurological and functional outcomes. Further clinical trials are warranted to improve and evaluate the feasibility of the proposed method with respect to the neurological evaluation scores, such as the cerebral performance category and modified Rankin scale.Abstract i Contents iv List of Tables viii List of Figures x List of Abbreviations xii Chapter 1 General Introduction 1 1.1 Electroencephalogram 1 1.2 Clinical use of spontaneous EEG 5 1.3 EEG and cerebral hemodynamics 7 1.4 EEG use in emergency settings 9 1.5 Noninvasive CPR assessment 10 1.6 Noninvasive traumatic brain injury assessment 16 1.7 Thesis objectives 21 Chapter 2 EEG-based Brain Resuscitation Index for Monitoring Systemic Circulation During CPR 23 2.1 Introduction 23 2.2 Methods 25 2.2.1 Ethical statement 25 2.2.2 Study design and setting 25 2.2.3 Experimental animals and housing 27 2.2.4 Surgical preparation and hemodynamic measurements 27 2.2.5 EEG measurement 29 2.2.6 Data analysis 32 2.2.7 EBRI calculation 33 2.2.8 Delta-EBRI calculation 34 2.3 Results 36 2.3.1 Hemodynamic parameters 36 2.3.2 Changes in EEG parameters 37 2.3.3 EBRI calculation 39 2.3.4 Delta-EBRI calculation 41 2.4 Discussion 42 2.4.1 Accomplishment 42 2.4.2 Limitations 45 2.5 Conclusion 46 Chapter 3 EEG-based Prediction Model of the Recovery of Carotid Blood Flow for Monitoring Cerebral Circulation During CPR 47 3.1 Introduction 47 3.2 Methods 50 3.2.1 Ethical statement 50 3.2.2 Study design and setting 50 3.2.3 Experimental animals and housing 52 3.2.4 Surgical preparation and hemodynamic measurements 54 3.2.5 EEG measurement 55 3.2.6 Data processing 57 3.2.7 Data analysis 58 3.2.8 Development of machine-learning based prediction model 59 3.3 Results 63 3.3.1 Results of CPR process 63 3.3.2 EEG changes with the recovery of CaBF 66 3.3.3 Changes in EEG parameters depending on four CaBF groups 68 3.3.4 Changes in EEG parameters depending on two CaBF groups 69 3.3.5 EEG parameters for prediction models 70 3.3.6 Performances of prediction models 73 3.4 Discussion 76 3.4.1 Accomplishment 76 3.4.2 Limitations 78 3.5 Conclusion 80 Chapter 4 EEG-based Prediction Model of an Increased Intra-Cranial Pressure for TBI patients 81 4.1 Introduction 81 4.2 Methods 83 4.2.1 Ethical statement 83 4.2.2 Study design and setting 83 4.2.3 Experimental animals and housing 85 4.2.4 Surgical preparation and hemodynamic measurements 86 4.2.5 EEG measurement 88 4.2.6 Data processing 90 4.2.7 Data analysis 90 4.2.8 Development of machine-learning based prediction model 91 4.3 Results 92 4.3.1 Hemodynamic changes during brain injury phase 92 4.3.2 EEG changes with an increase of ICP 93 4.3.3 EEG parameters for prediction models 94 4.3.4 Performances for prediction models 95 4.4 Discussion 100 4.4.1 Accomplishment 100 4.4.2 Limitations 104 4.5 Conclusion 104 Chapter 5 Summary and Future works 105 5.1 Thesis summary and contributions 105 5.2 Future direction 108 Bibilography 113 Abstract in Korean 135Docto

    2023 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations: Summary From the Basic Life Support; Advanced Life Support; Pediatric Life Support; Neonatal Life Support; Education, Implementation, and Teams; and First Aid Task Forces

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    The International Liaison Committee on Resuscitation engages in a continuous review of new, peer-reviewed, published cardiopulmonary resuscitation and first aid science. Draft Consensus on Science With Treatment Recommendations are posted online throughout the year, and this annual summary provides more concise versions of the final Consensus on Science With Treatment Recommendations from all task forces for the year. Topics addressed by systematic reviews this year include resuscitation of cardiac arrest from drowning, extracorporeal cardiopulmonary resuscitation for adults and children, calcium during cardiac arrest, double sequential defibrillation, neuroprognostication after cardiac arrest for adults and children, maintaining normal temperature after preterm birth, heart rate monitoring methods for diagnostics in neonates, detection of exhaled carbon dioxide in neonates, family presence during resuscitation of adults, and a stepwise approach to resuscitation skills training. Members from 6 International Liaison Committee on Resuscitation task forces have assessed, discussed, and debated the quality of the evidence, using Grading of Recommendations Assessment, Development, and Evaluation criteria, and their statements include consensus treatment recommendations. Insights into the deliberations of the task forces are provided in the Justification and Evidence-to-Decision Framework Highlights sections. In addition, the task forces list priority knowledge gaps for further research. Additional topics are addressed with scoping reviews and evidence updates

    2023 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations: Summary From the Basic Life Support; Advanced Life Support; Pediatric Life Support; Neonatal Life Support; Education, Implementation, and Teams; and First Aid Task Forces

    Get PDF
    The International Liaison Committee on Resuscitation engages in a continuous review of new, peer-reviewed, published cardiopulmonary resuscitation and first aid science. Draft Consensus on Science With Treatment Recommendations are posted online throughout the year, and this annual summary provides more concise versions of the final Consensus on Science With Treatment Recommendations from all task forces for the year. Topics addressed by systematic reviews this year include resuscitation of cardiac arrest from drowning, extracorporeal cardiopulmonary resuscitation for adults and children, calcium during cardiac arrest, double sequential defibrillation, neuroprognostication after cardiac arrest for adults and children, maintaining normal temperature after preterm birth, heart rate monitoring methods for diagnostics in neonates, detection of exhaled carbon dioxide in neonates, family presence during resuscitation of adults, and a stepwise approach to resuscitation skills training. Members from 6 International Liaison Committee on Resuscitation task forces have assessed, discussed, and debated the quality of the evidence, using Grading of Recommendations Assessment, Development, and Evaluation criteria, and their statements include consensus treatment recommendations. Insights into the deliberations of the task forces are provided in the Justification and Evidence-to-Decision Framework Highlights sections. In addition, the task forces list priority knowledge gaps for further research. Additional topics are addressed with scoping reviews and evidence updates

    PhD

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    dissertationThe physiological consequences of major thermal injury center around profound, life-threatening shock occurring in conjunction with the burn and consisting of two pathological syndromes: hypovolemic and cellular shock. Intravascular hypovolemia following major thermal injury results from increased capillary permeability with subsequent loss of intravascular fluid into the interstitium. The purpose of this study was to evaluate the effect of a therapeutic regime involving the removal of the circulating factors by performing plasma exchange. Fourteen adult patients with burns of 40% total body surface area (TBSA) served as subjects. Seven were randomly assigned to the control group which received standard burn shock resuscitation. Seven were randomly assigned to the treatment group which received the same resuscitation in combination with plasma exchange. The study period was the first 48 hours postburn with the plasma exchange procedures performed as soon as was clinically feasible. A total of 937 measurements of physiological variables were made on each patient. These included vital signs, cardiopulmonary parameters, respiratory status, and serum content analysis measured upon admission and every 4 hours thereafter during the study period. Hourly fluid intake and output records were compiled. Data were analyzed for statistical significance. The findings were as follows: the sample was unevenly distributed, with the treatment group more critically ill than the control on the basis of the variable or percent TBSA full-thickness injury (p < .01) and the incidence of documented inhalation injury. No significant difference was found between the groups on the variable of fluid requirement, either in subjects with or without associated inhalation injury. Plasma exchange significantly decreased platelet count (p < .05) in the treatment group when compared with the control but did not alter other serum chemistry values. The coagulopathy reported to occur in burn patients was not observed in this group of 14 subjects. The plasma exchange group was in significantly (p < .05) more normal base excess balance at both postburn hour 16 and 24 than the control. There was no evidence that plasma exchange performed during burn shock for the purpose of removing circulating factors was harmful in any way to the treatment subjects

    Cardiac arrest and therapeutic hypothermia: Prognosis and outcome

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    Abstract Therapeutic hypothermia (TH) is the only treatment available to reduce neurological sequels for unconscious patients following cardiac arrest (CA). TH requires sedation and muscular relaxation, obscuring the clinical neurological examination for estimation of prognosis, and clinical decision making. Continuous amplitude-integrated EEG (aEEG) has been used to predict outcome in neonates suffering from asphyxia. In adults following CA and TH, the novel observation was made that a continuous aEEG-pattern prior to or at normothermia strongly correlated to return of consciousness, while other patterns strongly correlated to continued coma. A status epilepticus aEEG-pattern carried a poor, but not desolate prognosis. Biochemical neuronal-markers (neuron-specific enolase (NSE) and S-100B) have previously been assessed in non-TH CA patients. In TH, an NSE level of 28 ฮผg/l 48h after CA, or an increase of more than 2 ฮผg/l between 24 and 48h were strongly associated to a poor outcome. Five days after the CA, one third of the patients remained in coma. They either had multimodal signs of extensive brain damage (high NSE levels, ischemic changes on MRI or neurophysiological evidence of advanced brain damage (bilateral lack of SSEP)), or showed sustained unconsciousness and a status epilepticus aEEG-pattern. Unconscious patients without these signs of brain injury eventually regained consciousness. Approximately 50% of hypothermia treated patients regained consciousness. Ninety-eight percent of surviving patients had an independent lifestyle six months after the CA. The dominant cognitive problem was a disturbed memory function. Taken together, aEEG appears superior in early neurological prognostication in these patients

    Updates Regarding Prediction and Prevention of Sudden Cardiac Death

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    Sudden cardiac death (SCD) remains a major public health problem globally, especially in the United States causing more than 300,000 deaths annually. SCD from cardiac arrest is the most common cause of death worldwide, accounting for >50% of all deaths from cardiovascular diseases (CVDs) and it is characterized by unexpected collapse due to an underlying cardiovascular cause. The condition usually results from an electrical disturbance in the heart that disrupts its pumping action, stopping blood flow to the body. When the heart stops, the lack of oxygenated blood can causes death or permanent brain damage within minutes. Time is extremely critical when someone or a clinician is helping an unconscious person who is not breathing. SCD represents a major challenge for the clinician because most episodes occur in individuals without previously known cardiac disease. Hence, an early prediction of individuals at risk of SCD is the holly-grail of all physicians. Because most individuals experiencing SCD currently are not identifiable as being at high risk, community-based public access to defibrillation programs is essential to save lives and more so to improve neurological and functional outcomes for cardiac arrest victims. In order to prevent SCD, it is imperative to impose an aggressive management of cardiovascular risk factors, including performing exercise regularly, educating patients about the dangers of CVDs, promoting a healthy diet, restricting consumption of sugar, saturated fat, salt and smoking cessation to promote a heart healthy behavior to all, young children in particular. Finally, a preclinical prediction of patients at risk of SCD and early detection of the disease is crucial for early intervention and definitely will reduce the incidence of sudden cardiac death dramatically

    2023 International consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations: summary from the basic life support; advanced life support; pediatric life support; neonatal life support; education, implementation, and teams; and first aid task forces

    Get PDF
    The International Liaison Committee on Resuscitation engages in a continuous review of new, peer-reviewed, published cardiopulmonary resuscitation and first aid science. Draft Consensus on Science With Treatment Recommendations are posted online throughout the year, and this annual summary provides more concise versions of the final Consensus on Science With Treatment Recommendations from all task forces for the year. Topics addressed by systematic reviews this year include resuscitation of cardiac arrest from drowning, extracorporeal cardiopulmonary resuscitation for adults and children, calcium during cardiac arrest, double sequential defibrillation, neuroprognostication after cardiac arrest for adults and children, maintaining normal temperature after preterm birth, heart rate monitoring methods for diagnostics in neonates, detection of exhaled carbon dioxide in neonates, family presence during resuscitation of adults, and a stepwise approach to resuscitation skills training. Members from 6 International Liaison Committee on Resuscitation task forces have assessed, discussed, and debated the quality of the evidence, using Grading of Recommendations Assessment, Development, and Evaluation criteria, and their statements include consensus treatment recommendations. Insights into the deliberations of the task forces are provided in the Justification and Evidence-to-Decision Framework Highlights sections. In addition, the task forces list priority knowledge gaps for further research. Additional topics are addressed with scoping reviews and evidence updates

    Diagnosis of brain death

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    Brain death (BD) should be understood as the ultimate clinical expression of a brain catastrophe characterized by a complete and irreversible neurological stoppage, recognized by irreversible coma, absent brainstem reflexes, and apnea. The most common pattern is manifested by an elevation of intracranial pressure to a point beyond the mean arterial pressure, and hence cerebral perfusion pressure falls and, as a result, no net cerebral blood flow is present, in due course leading to permanent cytotoxic injury of the intracranial neuronal tissue. A second mechanism is an intrinsic injury affecting the nervous tissue at a cellular level which, if extensive and unremitting, can also lead to BD. We review here the methodology of diagnosing death, based on finding any of the signs of death. The irreversible loss of cardio-circulatory and respiratory functions can cause death only when ischemia and anoxia are prolonged enough to produce an irreversible destruction of the brain. The sign of such loss of brain functions, that is to say BD diagnosis, is fully reviewed
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