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1.
Euro Surveill ; 20(12)2015 Mar 26.
Article in English | MEDLINE | ID: mdl-25846490

ABSTRACT

Current Ebola virus disease (EVD) diagnosis relies on reverse transcription-PCR (RT-PCR) technology, requiring skilled laboratory personnel and technical infrastructure. Lack of laboratory diagnostic capacity has led to diagnostic delays in the current West African EVD outbreak of 2014 and 2015, compromising outbreak control. We evaluated the diagnostic accuracy of the EVD bedside rapid diagnostic antigen test (RDT) developed by the United Kingdom's Defence Science and Technology Laboratory, compared with Ebola virus RT-PCR, in an operational setting for EVD diagnosis of suspected cases admitted to Ebola holding units in the Western Area of Sierra Leone. From 22 January to 16 February 2015, 138 participants were enrolled. EVD prevalence was 11.5%. All EVD cases were identified by a positive RDT with a test line score of 6 or more, giving a sensitivity of 100% (95% confidence interval (CI): 78.2-100). The corresponding specificity was high (96.6%, 95% CI: 91.3-99.1). The positive and negative predictive values for the population prevalence were 79.0% (95% CI: 54.4-93.8) and 100% (95% CI: 96.7-100), respectively. These results, if confirmed in a larger study, suggest that this RDT could be used as a 'rule-out' screening test for EVD to improve rapid case identification and resource allocation.


Subject(s)
Disease Outbreaks/prevention & control , Ebolavirus/isolation & purification , Hematologic Tests/methods , Hemorrhagic Fever, Ebola/diagnosis , Point-of-Care Systems , Reverse Transcriptase Polymerase Chain Reaction/methods , Ebolavirus/genetics , Epidemics , Female , Hemorrhagic Fever, Ebola/blood , Hemorrhagic Fever, Ebola/epidemiology , Humans , Male , Predictive Value of Tests , Prevalence , RNA, Viral/analysis , Sensitivity and Specificity , Sierra Leone/epidemiology , Time Factors
2.
J Appl Physiol (1985) ; 65(2): 570-8, 1988 Aug.
Article in English | MEDLINE | ID: mdl-3170407

ABSTRACT

We describe a breath-by-breath method to test for entrainment of breathing and walking cycles. Thirty-eight normal subjects walked comfortably on a treadmill while breathing through a pneumotachograph. We analyzed the time intervals between heel strikes and the onset of inspiration (or expiration) for evidence of phase locking between steps and breaths, using Monte Carlo simulation to model the probability that n consecutive inspirations (or expirations) would begin at a constant time interval +/- 0.10 s from heel strikes by chance. We developed empirical criteria for rhythm synchronization during series of four or more breaths, while maintaining an estimated specificity of 95%. The majority of subjects showed some evidence of entrainment (29 +/- 23% of breaths on average), which occurred intermittently, usually lasting less than 10 breaths at a time. The precision of phase locking during spontaneous entrainment was similar to that in 10 subjects who attempted to maintain deliberate entrainment. The results suggest that the walking cadence provides a persuasive, but not dominant, input to the central breathing pattern generator. The present method can detect entrainment even when it occurs sporadically or with varying coupling pattern.


Subject(s)
Locomotion , Physical Exertion , Respiration , Adult , Female , Humans , Male , Middle Aged
3.
Comput Biol Med ; 15(5): 279-85, 1985.
Article in English | MEDLINE | ID: mdl-4042633

ABSTRACT

An interactive, real-time, computer-based data acquisition system was designed to obtain data for breathing and exercise entrainment studies. By timing the steps of subjects walking on a treadmill relative to different points in the respiratory cycle (e.g. the beginning and end of inspiration), the relation between gait and ventilation can be followed on a breath-by-breath basis. Accurate establishment of the beginning and end of respiratory events from a pneumotachygraph signal was assured by using tidal volume thresholds for (1) noise, (2) minimum valid volume and (3) minimum duration.


Subject(s)
Computers , Physical Exertion , Respiration , Gait , Humans , Information Systems , Tidal Volume , Time Factors
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