Objective:To describe audiological symptoms,audiometric profile,and distortion product otoacoustic emission in symptomatic patients recovering from SARS-CoV-2 infection(positive RT-PCR test)and asymptomatic patients(negative RT-PCR test).Methods:An analytical cross-sectional study was conducted using data obtained from clinical charts,physical examination,audiometry,and distortion product otoacoustic emission on 40 patients[case patients(CP)]recovering from SARS-CoV-2 infection diagnosed by a positive RT-PCR test and 22asymptomatic participants with a negative RT-PCR test[non-case(NC)].Results:Sixty-two patients(mean age:31.1 and 28.2 years in the CP and NC groups,respectively)were *** participants were young without significant comorbidities,risk factors for hearing loss or otological ***(5%),tinnitus(17.5%)and aural fullness/hearing loss(35%)were found in the CP group.A statistically significant difference was found in specific frequencies(1000,4000,and 8000 Hz)and pure tone average(low and high conversational frequencies with increased threshold in the PC group compared with the NC group),which was not found in distortion product otoacoustic ***:Audiovestibular symptoms are frequent in symptomatic patients recovering from SARS-CoV-2 ***-CoV-2 infection was consistently associated with an increased audiometric hearing threshold at specific frequencies and low tone average.
Introduction: The law of Zipf-Mandelbrot is a power law, which has been observed in natural languages. A mathematical diagnosis of fetal cardiac dynamics has been developed with this law. Objective: To develop a metho...
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Introduction: The law of Zipf-Mandelbrot is a power law, which has been observed in natural languages. A mathematical diagnosis of fetal cardiac dynamics has been developed with this law. Objective: To develop a methodology for diagnostic aid to assess the degree of complexity of adult cardiac dynamics by Zipf-Mandelbrot law. Methodology: A mathematical induction was done for this;two groups of Holter recordings were selected: 11 with normal diagnosis and 11 with acute disease of each group, one Holter of each group was chosen for the induction, the law of Zipf-Mandelbrot was applied to evaluate the degree of complexity of each Holter, searching similarities or differences between the dynamics. A blind study was done with 20 Holters calculating sensitivity, specificity and the coefficient kappa. Results: The complexity grade of a normal cardiac dynamics varied between 0.9483 and 0.7046, and for an acute dynamic between 0.6707 and 0.4228. Conclusions: A new physical mathematical methodology for diagnostic aid was developed;it showed that the degree of complexity of normal cardiac dynamics was higher than those with acute disease, showing quantitatively how cardiac dynamics can evolve to acute state.
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