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1.
Clin Infect Dis ; 73(9): e3116-e3119, 2021 11 02.
Article in English | MEDLINE | ID: mdl-33103196

ABSTRACT

We implemented serial coronavirus disease 2019 testing for inpatients with a negative test on admission. The conversion rate (negative to positive) on repeat testing was 1%. We identified patients during their incubation period and hospital-onset cases, rapidly isolated them, and potentially reduced exposures. Serial testing and infectiousness determination were resource intensive.


Subject(s)
COVID-19 , COVID-19 Testing , Hospitals , Humans , SARS-CoV-2
2.
Sensors (Basel) ; 20(4)2020 Feb 21.
Article in English | MEDLINE | ID: mdl-32098082

ABSTRACT

Presently, smartphones are used more and more for purposes that have nothing to do withphone calls or simple data transfers. One example is the recognition of human activity, which isrelevant information for many applications in the domains of medical diagnosis, elderly assistance,indoor localization, and navigation. The information captured by the inertial sensors of the phone(accelerometer, gyroscope, and magnetometer) can be analyzed to determine the activity performedby the person who is carrying the device, in particular in the activity of walking. Nevertheless,the development of a standalone application able to detect the walking activity starting only fromthe data provided by these inertial sensors is a complex task. This complexity lies in the hardwaredisparity, noise on data, and mostly the many movements that the smartphone can experience andwhich have nothing to do with the physical displacement of the owner. In this work, we exploreand compare several approaches for identifying the walking activity. We categorize them into twomain groups: the first one uses features extracted from the inertial data, whereas the second oneanalyzes the characteristic shape of the time series made up of the sensors readings. Due to the lackof public datasets of inertial data from smartphones for the recognition of human activity underno constraints, we collected data from 77 different people who were not connected to this research.Using this dataset, which we published online, we performed an extensive experimental validationand comparison of our proposals.


Subject(s)
Smartphone , Walking/physiology , Accelerometry , Algorithms , Human Activities , Humans
3.
Antibiotics (Basel) ; 7(4)2018 Dec 12.
Article in English | MEDLINE | ID: mdl-30545049

ABSTRACT

(1) Background: The use of intravenous antibiotics for severe infections is a common practice, either as inpatient or outpatient treatment. In the case of methicillin-susceptible Staphylococcus aureus (MSSA), nafcillin is a commonly prescribed intravenous antibiotic, given its known efficacy to treat infections related to this organism effectively. However, it is not without side effects. (2) Methods: We present an interesting case of persistent hypokalemia in a patient after he was started on nafcillin infusion for an MSSA infection, which eventually resolved with the completion of the treatment. (3) Results: Hypokalemia is a known side effect of nafcillin infusion, and it is believed to be mainly due to its antibiotic effect as a non-absorbable ion in the distal tubule and/or intracellular redistribution due to volume depletion. (4) Conclusions: A review of the available literature revealed that hypokalemia is a known side effect of nafcillin infusion; however, if present, it is usually mild, and only a few cases of severe hypokalemia have been reported. Usually, hypokalemia resolves when the nafcillin infusion is stopped; however, in certain cases, when this is not possible, oral potassium replacement can be used while the patient is receiving nafcillin. Clinicians should be aware of this rare, but possible, complication when using nafcillin.

4.
Sensors (Basel) ; 18(9)2018 Sep 19.
Article in English | MEDLINE | ID: mdl-30235803

ABSTRACT

Mobile phones are increasingly used for purposes that have nothing to do with phone calls or simple data transfers, and one such use is indoor inertial navigation. Nevertheless, the development of a standalone application able to detect the displacement of the user starting only from the data provided by the most common inertial sensors in the mobile phones (accelerometer, gyroscope and magnetometer), is a complex task. This complexity lies in the hardware disparity, noise on data, and mostly the many movements that the mobile phone can experience and which have nothing to do with the physical displacement of the owner. In our case, we describe a proposal, which, after using quaternions and a Kalman filter to project the sensors readings into an Earth Centered inertial reference system, combines a classic Peak-valley detector with an ensemble of SVMs (Support Vector Machines) and a standard deviation based classifier. Our proposal is able to identify and filter out those segments of signal that do not correspond to the behavior of "walking", and thus achieve a robust detection of the physical displacement and counting of steps. We have performed an extensive experimental validation of our proposal using a dataset with 140 records obtained from 75 different people who were not connected to this research.

5.
Eur J Emerg Med ; 11(1): 39-43, 2004 Feb.
Article in English | MEDLINE | ID: mdl-15167192

ABSTRACT

INTRODUCTION: The World Athletics Championships are considered to be the third most important sporting event on the planet. Before the celebration of their seventh meeting in Seville, Spain, the need for medical care, as in the Olympic Games, was supposed to be low and of minimal complexity. It was nevertheless judged necessary to install strategically located assistance points, and to evaluate the results of this intervention. METHODOLOGY AND DESIGN: Following the planning phase carried out by a multidisciplinary commission of health, set up by the Organizer Committee, which prepared protocols, that were elaborated by five working groups, the operation developed during the World Championships in Athletics is described. Five clinics and several first aid stations were set up in the stadium and its surroundings, in hotels, warm-up and training tracks, the high-speed train station and the airport, as well as strategic points in the city. RESULTS: There were 1338 medical consultations, and 35 patients (2.6%) were transferred to hospitals. 21 codes of the International Classification of Disease constituted 50.4% of the case mix. Injuries, which accounted for 36.1% of all medical visits, were more common among athletes (48.9%) than among other groups. Injuries accounted for 30.5% of all other groups combined. Spectators and other groups accounted for most (86.8 and 63.1%, respectively) of the 276 visits concerning contusions and 165 visits for heat-related illness. The overall physician treatment rate was 19.3% for athletes and 4.5/10 000 for spectators. CONCLUSION: The preparation of a potent pre-hospital service, strategically located and dedicated to the event, was able to solve the problems that occurred. Nevertheless, a hospital alert and a coordination centre are also necessary. These data should be useful in planning medical resources for future mass sporting events.


Subject(s)
Emergency Medical Services/statistics & numerical data , Sports Medicine/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Child , Child, Preschool , Emergency Medical Services/organization & administration , Female , Heat Stress Disorders/epidemiology , Hospitalization/statistics & numerical data , Humans , International Classification of Diseases/statistics & numerical data , Male , Middle Aged , Spain/epidemiology , Sports Medicine/organization & administration , Weather , Wounds and Injuries/epidemiology
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