1,132 research outputs found
Dr. Scott Allison and Dr. Al Goethals – Faculty Author Interview
No full textDr. Scott Allison, Professor, Department of Psychology and Dr. Al Goethals, Professor, Jepson School of Leadership Studies discuss their recent book, Heroes: What They Do and Why We Need Them. Published by Oxford University Press, the book offers a stimulating tour of the psychology of heroism, shedding light on what heroism and villainy mean to most people and why heroes — both real people and fictional characters — are so vital to our lives. For more information on the book and project, connect to the “Heroes” blog
Screening for Atrial Fibrillation in Belgium: a multicentre trial
No full textScreening for Atrial Fibrillation (AF) in Belgium: a multicentre trial
Claes Neree, Goethals Marnix, Goethals Peter, Mairesse Georges, Schwagten Bruno,
Nuyens Dieter, Schrooten Ward, Vijgen Johan
Introduction
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. The estimated prevalence is 0.4-1% in the general population, increasing with age to 8% in those older than 80y - . Epidemiological data of this arrhythmia in Belgium are scarce. It is important to screen for AF because patients with AF have a 5 times more risk for an ischemic stroke . The CHA2DS2-VASscore calculates the risk for stroke in those patients, a score ≥2 necessitate a therapy with anticoagulants .
Methods
Patients above 40 years were invited through different channels (TV, radio, journals, website, posters, leaflets) for a free screening in 69 hospitals allocated over Belgium during one week. After filling in a question on their personal history of AF, they had to fill in a questionnaire about their CHAD2-score. Afterwards a one channel ECG was taken using a versatile Heart Scan Device (Omron HCG-801-E©) by a trained nurse or a physician. If the ECG was positive for AF the patient was referred to their physician for follow-up. An Access database was constructed to collect the data and statistics were done in SPSS.
Results
11.550 patients were screened. 38% are male and 62% are female with a mean age of 59y (+/-SD 11). 860 patients declared a history of AF (7.4%), 10.188 had no history of AF and in 502 the history was missing. 229 (1.9%) of the total population had AF on the one lead ECG where 148 were newly detected. According the CHADS2 68 patients had a score of 0, 70 of 1 and 91 of ≥2. For the CHA2DS2-VASscore the distribution was as follows: 14 patients with 0, 46 with 1 and 169 with ≥2.
Conclusion
Screening campaigns are feasible and able to detect 2% of patients with AF. A significant proportion of these patients are at risk for trombo-embolic event.
Go AS, Hylek EM, Philips KA et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhytm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA 2001;285:2370-5.
Furberg CD, Psaty BM, Manolio TA, et al. Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study). Am J Cardiol 1994; 7:236-41.
Wolf PA, Abbott RD, Kannel WB. Atrial Fibrillation as an independent risk factor for stroke: teh Framingham Study. Stroke 1991;22:983-8.
Lip G, Pisters R, Crijns H. Refining clinical risk stratification using a novel risk factor based approach: The Euro Heart Survey on Atrial Fibrillation. Chest 2010;137:263-72.Sanofi Aventi
Screening for Atrial Fibrillation in Belgium: a multicentre trial
No full textScreening for Atrial Fibrillation (AF) in Belgium: a multicentre trial
Claes Neree, Goethals Marnix, Goethals Peter, Mairesse Georges, Schwagten Bruno,
Nuyens Dieter, Schrooten Ward, Vijgen Johan
Introduction
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. The estimated prevalence is 0.4-1% in the general population, increasing with age to 8% in those older than 80y - . Epidemiological data of this arrhythmia in Belgium are scarce. It is important to screen for AF because patients with AF have a 5 times more risk for an ischemic stroke . The CHA2DS2-VASscore calculates the risk for stroke in those patients, a score ≥2 necessitate a therapy with anticoagulants .
Methods
Patients above 40 years were invited through different channels (TV, radio, journals, website, posters, leaflets) for a free screening in 69 hospitals allocated over Belgium during one week. After filling in a question on their personal history of AF, they had to fill in a questionnaire about their CHAD2-score. Afterwards a one channel ECG was taken using a versatile Heart Scan Device (Omron HCG-801-E©) by a trained nurse or a physician. If the ECG was positive for AF the patient was referred to their physician for follow-up. An Access database was constructed to collect the data and statistics were done in SPSS.
Results
11.550 patients were screened. 38% are male and 62% are female with a mean age of 59y (+/-SD 11). 860 patients declared a history of AF (7.4%), 10.188 had no history of AF and in 502 the history was missing. 229 (1.9%) of the total population had AF on the one lead ECG where 148 were newly detected. According the CHADS2 68 patients had a score of 0, 70 of 1 and 91 of ≥2. For the CHA2DS2-VASscore the distribution was as follows: 14 patients with 0, 46 with 1 and 169 with ≥2.
Conclusion
Screening campaigns are feasible and able to detect 2% of patients with AF. A significant proportion of these patients are at risk for trombo-embolic event.
Go AS, Hylek EM, Philips KA et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhytm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA 2001;285:2370-5.
Furberg CD, Psaty BM, Manolio TA, et al. Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study). Am J Cardiol 1994; 7:236-41.
Wolf PA, Abbott RD, Kannel WB. Atrial Fibrillation as an independent risk factor for stroke: teh Framingham Study. Stroke 1991;22:983-8.
Lip G, Pisters R, Crijns H. Refining clinical risk stratification using a novel risk factor based approach: The Euro Heart Survey on Atrial Fibrillation. Chest 2010;137:263-72.Sanofi Aventi
New codes with the same weight distributions as the Goethals codes and the Delsarte-Goethals codes
No full textAbstract- The Goethals code is a binary nonlinear code of length 2"" " which has 22m+1-3m-2 codewords and minimum Hamming distance 8 for any odd m 2 3. We construct new codes over 2 4 such that their Gray maps lead to codes with the same weight distribu-tion as the Goethals codes and the Delsarte-Goethals codes. 1
Het plan Goethals.
No full textHet plan van G. Goethals, landmeter, gepubliceerd bij P. de Goesin in 1796 en gedrukt op een groot aantal exemplaren, is merkwaardig onder velerlei opzichten. Het bevat een alfabetische lijst van de straten, markten en pleinen, geeft een lijst van de godsdienstige gebouwen, hospitalen, scholen, openbare gebouwen, bruggen in hout en steen.</jats:p
The Z4-linearity of Kerdock, Preparata, Goethals and related codes
No full textP. Sol'e thanks the DIMACS Center and the IEEE for travel support. The Z4-Linearity of Kerdock, Preparata, Goethals and Related Code
The algebraic decoding of the Z<SUB>4</SUB> linear Goethals code
No full textThe quaternary Goethals code is a Z4-linear code of length 2m which has 2(2m+1)(-3m-2) codewords and minimum Lee distance 8 for any odd integer m/spl ges/3. The Gray map of this code is known to be a nonlinear binary (2m+1, 2(2m+1)(-3m-2), 8) code. The covering radius of the Z4-linear Goethals code is 6 and we present a complete decoding algorithm for the code
Goethals (Gregor T.) The Electronic Golden Calf. Images, Religion and the Making of Meaning
No full textGutwirth Jacques. Goethals (Gregor T.) The Electronic Golden Calf. Images, Religion and the Making of Meaning. In: Archives de sciences sociales des religions, n°88, 1994. p. 72
Goethals (Gregor T.) The Electronic Golden Calf. Images, Religion and the Making of Meaning
No full textGutwirth Jacques. Goethals (Gregor T.) The Electronic Golden Calf. Images, Religion and the Making of Meaning. In: Archives de sciences sociales des religions, n°88, 1994. p. 72
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