Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest

Gong, Yushun; Lu, Yubao; Zhang, Lei; Zhang, Hehua; Li, Yongqin

doi:10.1155/2015/493472

Cited by 23 publications

(15 citation statements)

References 34 publications

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“…All classical predictors showed significantly different statistical distributions (p < 10 −10 ), and the boxplots visually show little overlap between the classes. Moreover, the values obtained for the features in both classes are in line with the values reported on other studies on shock outcome prediction [12,20,21,25,30]. The entropy measures of regularity also showed good class separation and significantly different distributions (p < 10 −10 ).…”

Section: Classical Versus Entropy-based Predictorssupporting

confidence: 89%

“…The main motivation of the present study stems from the recent success of several indices based on non-linear dynamics for the prediction of VF defibrillation success during OHCA [21,29,30]. These indices convey important information on the metabolic state of the myocardium and on the different phases of VF [21].…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, a plethora of VF-waveform features have been proposed to predict defibrillation success and to optimize treatment decisions [23][24][25][26]. These quantitative measures include the classical amplitude, slope or spectral analyses of VF [23,27], but also features derived from non-linear dynamics, such as: fractal dimension [28], Hurst exponents [28], scaling exponents [20], detrended fluctuation analysis [29] or Poincare-plot analysis [30]. These later approaches suggest that quantifying the VF waveform regularity and/or predictability through non-linear metrics may be an adequate way to predict defibrillation success.…”

Section: Introductionmentioning

confidence: 99%

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Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

Chicote

Irusta

Alcaraz

et al. 2016

Entropy

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Prediction of defibrillation success is of vital importance to guide therapy and improve the survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most efficient methods to predict shock success are based on the analysis of the electrocardiogram (ECG) during ventricular fibrillation (VF), and recent studies suggest the efficacy of waveform indices that characterize the underlying non-linear dynamics of VF. In this study we introduce, adapt and fully characterize six entropy indices for VF shock outcome prediction, based on the classical definitions of entropy to measure the regularity and predictability of a time series. Data from 163 OHCA patients comprising 419 shocks (107 successful) were used, and the performance of the entropy indices was characterized in terms of embedding dimension (m) and matching tolerance (r). Six classical predictors were also assessed as baseline prediction values. The best prediction results were obtained for fuzzy entropy (FuzzEn) with m = 3 and an amplitude-dependent tolerance of r = 80 µV. This resulted in a balanced sensitivity/specificity of 80.4%/76.9%, which improved by over five points the results obtained for the best classical predictor. These results suggest that a FuzzEn approach for a joint quantification of VF amplitude and its non-linear dynamics may be a promising tool to optimize OHCA treatment.

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Section: Classical Versus Entropy-based Predictorssupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

Chicote

Irusta

Alcaraz

et al. 2016

Entropy

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“…Egy korábbi pakisztá-ni kutatás során sürgősségi osztályon dolgozó orvosok körében is vizsgálták ezt a kérdést, ott még rosszabb eredmények születtek, hiszen a résztvevők mindössze 25,7%-a válaszolt helyesen [22]. Ez azért fontos, mert egyértelműen kimutatták, hogy sokkolandó ritmus esetén a korai defibrilláció nagymértékben képes növelni a túlélési esélyeket [23,24]. Ehhez viszont szükséges, hogy a szakemberek képesek legyenek ezt helyesen kivitelezni.…”

Section: éSzrevételek Egyéb Eredményeinkkel Kapcsolatbanunclassified

Mentőtiszthallgatók felnőtt emelt szintű újraélesztéssel kapcsolatos ismeretei Magyarországon

Bánfai

Elias²,

Nagy³

et al. 2016

Orvosi Hetilap

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Országos Mentőszolgálat, Nyugat-dunántúli Régió Szentgotthárdi Mentőállomása, SzentgotthárdBevezetés: A megfelelő emelt szintű újraélesztési ismeretek elengedhetetlenek a sürgősségi ellátásban dolgozó szakemberek számára. Célkitűzés: A szerzők célja a magyarországi mentőtiszthallgatók felnőtt emelt szintű újraélesztési ismereteinek felmérése volt. Módszer: Felmérésüket a Pécsi Tudományegyetem Egészségtudományi Karának, a Semmelweis Egyetem Egészségtudományi Karának és a Debreceni Egyetem Egészségügyi Karának III. és IV. évfolyamos hallgatói körében végezték, saját szerkesztésű kérdőív segítségével. A mintába 97 fő hallgató került be (n = 97). Eredmények: A hallgatók átlagosan 67,79%-os eredménnyel teljesítettek a felmérésen. A férfiak és a nők összpontszá-mai között nem volt szignifikáns különbség (p = 0,725). Az alacsony életkor szignifikánsan javította az elért össz-pontszámokat (p = 0,003). A nappali tagozatosok szignifikánsan magasabb összpontszámot értek el, mint a levelező-sök (p = 0,004). Az egyes képzőintézmények hallgatóinak összpontszámai között szignifikáns különbség nem volt a felmérés során (p = 0,254). Következtetések: Célszerű lenne a mentőtisztképzésben a témával foglalkozó tantárgyak számát növelni, a számonkérések kritériumrendszerét szigorítani. A szerzők a jövőben indokoltnak tartanák a gyakorlati ismereteket vizsgáló felmérés elvégzését. Orv. Hetil., 2016, 157(37), 1476-1482. Kulcsszavak: újraélesztés, mentőtiszt, oktatás Adult advanced life support knowledge among ambulance officer/paramedic students in HungaryIntroduction: Resuscitation knowledge is necessery for emergency care workers. Aim: The aim of the authors was to investigate the advanced life support knowledge of paramedic students in Hungary. Method: The research has been executed at University of Pécs -Faculty of Health Sciences, Semmelweis University -Faculty of Health Sciences, and University of Debrecen -Faculty of Health Care. 97 students (n = 97) were involved in the study from third and fourth grades. Data were recorded with a self-fill-in questionnaire. Results: Average scores were 67.79%. There was no significant difference between women and men (p = 0.725). Younger age improved significantly scores (p = 0.003). Full-time students completed the test significantly better than part-time students (p = 0.004). There was no significant difference between the students from different locations (p = 0.254). Conclusions: It would be appropriate to increase the number of resuscitation courses and to tighten the exams. The authors propose that it would be reasonable to examine the students' practical skills.

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“…Along with time domain data, this gave parameters for heart rate and cardiac output after parabolic peak interpolation. Data were analysed in linear terms, including ellipse fitting 1 and standard deviation of successive differences; 2 and in non-linear terms including complex correlation, 3 multi-scale ratio analysis, 4 median stepping increment 5 and finite time growth. 6 Results Results demonstrate that non-linear analysis methods are superior to linear methods in differentiating cardiac arrhythmias from both one another and from normal rhythm.…”

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confidence: 99%

221 Altered biophysical properties of the voltage-gated sodium channels in mouse atrial and ventricular cardiomyocytes

O’Brien

Holmes

Parnell

et al. 2017

Heart

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AngII infusion caused two-fold increase in ROS production of WT hearts (p<0.05) (but not p47 phox KO mice), which was inhibited significantly by diphenyleneiodonium (DPI, a flavoprotein inhibitor) or superoxide dismutase, significantly but slightly by NG-nitro-l-arginine methyl ester (L-NAME, a nitric oxide synthase inhibitor), but not by rotenone (mitochondrial respiratory chain inhibitor) or oxypurinol (xanthine oxidase inhibitor). Increased ROS production in WT AngII-infused hearts was accompanied by significant phosphorylation of ERK1/2. In conclusion, p47 phox and p47 phox signalling through ERK1/2 play an important role in AngII-induced cardiac hypertrophy. Introduction Hyperglycemia-induced ROS generation within mitochondria plays a major role in the development of diabetic complications. Mitochondria are one of the most important cell organelles in diabetes research because of its crucial role as a regulator of energy balance. The present study was aimed to evaluate the effect galangin, a flavonoid, on oxidative mitochondrial damage in in streptozotocin (STZ)-induced diabetic rats. Materials and methods Diabetes was induced by intraperitoneal administration of low dose of STZ (40 mg/kg body weight (BW)) into male albino Wistar rats. Galangin (8 mg/kg BW) or glibenclamide (600 mg/kg BW) was given orally daily once for 45 days to normal and STZ-induced diabetic rats. Results Diabetic rats showed a significant (p<0.05) increase in kidney and heart mitochondrial oxidant (Thiobarbituric acid reactive substance) levels and a significant decrease in enzymatic (superoxide dismutase, glutathione peroxidase) and nonenzymatic (reduced glutathione) antioxidants levels as compared to control rats. The activities of mitochondrial enzymes such as isocitrate dehydrogenase, alpha-ketoglutarate dehydrogenase, succinate dehydrogenase, and malate dehydrogenase and mitochondrial respiratory chain enzymes such as NADH dehydrogenase and Cytochrome c-oxidase were decreased significantly (p<0.05) in diabetic rats as compared to control rats. Administration of galangin to diabetic rats resulted in the following findings as compared to diabetic control rats: the oxidant levels decreased significantly (p<0.05); the enzymatic and non-enzymatic antioxidants levels increased significantly (p<0.05); and the function of mitochondrial enzymes and the mitochondrial respiratory chain enzymes increased significantly (p<0.05).Conclusion From the results, we conclude that galangin could maintain kidney and heart mitochondrial function in diabetic rats.

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Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest

Cited by 23 publications

References 34 publications

Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

Mentőtiszthallgatók felnőtt emelt szintű újraélesztéssel kapcsolatos ismeretei Magyarországon

221 Altered biophysical properties of the voltage-gated sodium channels in mouse atrial and ventricular cardiomyocytes

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