Prolonged QT with Multiple-Causation and its Succesful Multistage Therapy

2017 ◽  
Vol 20 (3) ◽  
pp. 265-268
Author(s):  
Muhammed Keskin ◽  
Ahmet Taha Alper ◽  
Ceyhan Türkkan ◽  
Ahmet İlker Tekkeşin
Author(s):  
Ghariani Rania ◽  
Chrif Yosra ◽  
Samar Derbal ◽  
Rihab Laamouri ◽  
Fatma Ben Dahmene ◽  
...  

Author(s):  
Ghil'ad Zuckermann

This seminal book introduces revivalistics, a new trans-disciplinary field of enquiry surrounding language reclamation, revitalization and reinvigoration. The book is divided into two main parts that represent Zuckermann’s fascinating and multifaceted journey into language revival, from the ‘Promised Land’ (Israel) to the ‘Lucky Country’ (Australia) and beyond: PART 1: LANGUAGE REVIVAL AND CROSS-FERTILIZATION The aim of this part is to suggest that due to the ubiquitous multiple causation, the reclamation of a no-longer spoken language is unlikely without cross-fertilization from the revivalists’ mother tongue(s). Thus, one should expect revival efforts to result in a language with a hybridic genetic and typological character. The book highlights salient morphological, phonological, phonetic, syntactic, semantic and lexical features, illustrating the difficulty in determining a single source for the grammar of ‘Israeli’, the language resulting from the Hebrew revival. The European impact in these features is apparent inter alia in structure, semantics or productivity. PART 2: LANGUAGE REVIVAL AND WELLBEING The book then applies practical lessons (rather than clichés) from the critical analysis of the Hebrew reclamation to other revival movements globally, and goes on to describe the why and how of language revival. The how includes practical, nitty-gritty methods for reclaiming ‘sleeping beauties’ such as the Barngarla Aboriginal language of Eyre Peninsula, South Australia, e.g. using what Zuckermann calls talknology (talk+technology). The why includes ethical, aesthetic, and utilitarian reasons such as improving wellbeing and mental health.


2008 ◽  
Vol 1 (1) ◽  
pp. 35-41 ◽  
Author(s):  
Amanda S. Y. Chan ◽  
Geoffrey K. Isbister ◽  
Carl M. J. Kirkpatrick ◽  
Stephen B. Duffull

2002 ◽  
Vol 62 (2) ◽  
pp. 580-584 ◽  
Author(s):  
Alberto Bettinelli ◽  
Camillo Tosetto ◽  
Giacomo Colussi ◽  
Ginaluca Tommasini ◽  
Alberto Edefonti ◽  
...  

1997 ◽  
Vol 30 (4) ◽  
pp. 337-339 ◽  
Author(s):  
Rohan Perera ◽  
Andreas Kraebber ◽  
Miles J. Schwartz

2021 ◽  
Vol 30 (6) ◽  
pp. 466-470
Author(s):  
Enrique Calvo-Ayala ◽  
Vince Procopio ◽  
Hayk Papukhyan ◽  
Girish B. Nair

Background QT prolongation increases the risk of ventricular arrhythmia and is common among critically ill patients. The gold standard for QT measurement is electrocardiography. Automated measurement of corrected QT (QTc) by cardiac telemetry has been developed, but this method has not been compared with electrocardiography in critically ill patients. Objective To compare the diagnostic performance of QTc values obtained with cardiac telemetry versus electrocardiography. Methods This prospective observational study included patients admitted to intensive care who had an electrocardiogram ordered simultaneously with cardiac telemetry. Demographic data and QTc determined by electrocardiography and telemetry were recorded. Bland-Altman analysis was done, and correlation coefficient and receiver operating characteristic (ROC) coefficient were calculated. Results Fifty-one data points were obtained from 43 patients (65% men). Bland-Altman analysis revealed poor agreement between telemetry and electrocardiography and evidence of fixed and proportional bias. Area under the ROC curve for QTc determined by telemetry was 0.9 (P < .001) for a definition of prolonged QT as QTc ≥ 450 milliseconds in electrocardiography (sensitivity, 88.89%; specificity, 83.33%; cutoff of 464 milliseconds used). Correlation between the 2 methods was only moderate (r = 0.6, P < .001). Conclusions QTc determination by telemetry has poor agreement and moderate correlation with electrocardiography. However, telemetry has an acceptable area under the curve in ROC analysis with tolerable sensitivity and specificity depending on the cutoff used to define prolonged QT. Cardiac telemetry should be used with caution in critically ill patients.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Trisha Patel ◽  
Stanley Kamande ◽  
Elizabeth Jarosz ◽  
James Bost ◽  
Sridhar hanumanthaiah ◽  
...  

Introduction: Resting electrocardiogram (ECG) identification of long QT syndrome (LQTS) has limitations. Uncertainty exists on how to classify patients with borderline prolonged QT intervals. We tested if exercise testing could help serve as a guide for which children with borderline prolonged QT intervals may be gene positive for LQTS. Methods: Pediatric patients (n=139) were divided into three groups: Controls (n=76), gene positive LQTS with borderline QTc (n=21), and gene negative patients with borderline QTc (n=42). Borderline QTc was defined between 440 to 470 (male) and 440 to 480 (female) msec. ECGs were recorded while supine, sitting, and standing. Patients then underwent treadmill stress testing using the Bruce protocol followed by a 9-minute recovery phase. Statistical analysis was completed to compare the QTc intervals amongst all three of the groups using t-test, ANOVA, and the Youden method to calculate sensitivity and specificity cut points. Results: Supine resting QTc, age, and Schwartz score for the three groups were: 1) Gene positive: 446 ± 23 msec, 12.4 ± 3.4 yo, 3.2 ± 1.8; 2) Gene negative: 445 ± 20 msec, 12.1 ± 2.8 yo, 2.0 ± 1.2; and 3) Control: 400 ± 24 msec, 15.0 ± 3 yo. The three groups could be differentiated by their QTc response at two time points: standing and recovery phase at six minutes. Standing QTc ≥ 460 msec differentiated borderline prolonged QTc patients (Gene positive and Gene negative) from controls with a specificity of 90% for gene positive versus control and 83% for gene negative versus control. A late recovery QTc ≥ 480 msec at minute six distinguished Gene positive from Gene negative patients with a specificity of >97%. Conclusions: Exercise stress testing can be useful to identify Gene positive borderline LQTS from a normal population and Gene negative borderline QTc patients, allowing for increased cost effectiveness by selectively gene testing a higher risk group of patients with borderline QTc intervals and intermediate Schwartz scores.


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