Search

Your search keyword '"Leibovitz, Daniel"' showing total 9 results
Start Over Author "Leibovitz, Daniel"
9 results on '"Leibovitz, Daniel"'

1. Sex-specific differences in physiological parameters related to SARS-CoV-2 infections among a national cohort (COVI-GAPP study)

Author

UMC Utrecht Holding, Global Health, Planetary Health & Exposoom, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Grossmann, Kirsten, Risch, Martin, Markovic, Andjela, Aeschbacher, Stefanie, Weideli, Ornella C., Velez, Laura, Kovac, Marc, Pereira, Fiona, Wohlwend, Nadia, Risch, Corina, Hillmann, Dorothea, Lung, Thomas, Renz, Harald, Twerenbold, Raphael, Rothenbühler, Martina, Leibovitz, Daniel, Kovacevic, Vladimir, Klaver, Paul, Brakenhoff, Timo B., Franks, Billy, Mitratza, Marianna, Downward, George S., Dowling, Ariel, Montes, Santiago, Veen, Duco, Grobbee, Diederick E., Cronin, Maureen, Conen, David, Goodale, Brianna M., Risch, Lorenz, behalf of the COVID-19 remote early detection (COVID-RED) consortium, UMC Utrecht Holding, Global Health, Planetary Health & Exposoom, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Grossmann, Kirsten, Risch, Martin, Markovic, Andjela, Aeschbacher, Stefanie, Weideli, Ornella C., Velez, Laura, Kovac, Marc, Pereira, Fiona, Wohlwend, Nadia, Risch, Corina, Hillmann, Dorothea, Lung, Thomas, Renz, Harald, Twerenbold, Raphael, Rothenbühler, Martina, Leibovitz, Daniel, Kovacevic, Vladimir, Klaver, Paul, Brakenhoff, Timo B., Franks, Billy, Mitratza, Marianna, Downward, George S., Dowling, Ariel, Montes, Santiago, Veen, Duco, Grobbee, Diederick E., Cronin, Maureen, Conen, David, Goodale, Brianna M., Risch, Lorenz, and behalf of the COVID-19 remote early detection (COVID-RED) consortium

Published
2024

2. Sex-specific differences in physiological parameters related to SARS-CoV-2 infections among a national cohort (COVI-GAPP study).

Author

Grossmann, Kirsten, Risch, Martin, Markovic, Andjela, Aeschbacher, Stefanie, Weideli, Ornella C., Velez, Laura, Kovac, Marc, Pereira, Fiona, Wohlwend, Nadia, Risch, Corina, Hillmann, Dorothea, Lung, Thomas, Renz, Harald, Twerenbold, Raphael, Rothenbühler, Martina, Leibovitz, Daniel, Kovacevic, Vladimir, Klaver, Paul, Brakenhoff, Timo B., and Franks, Billy

Subjects
HEART beat, COVID-19 pandemic, COVID-19, MACHINE learning, SEX (Biology), SARS-CoV-2
Abstract

Considering sex as a biological variable in modern digital health solutions, we investigated sex-specific differences in the trajectory of four physiological parameters across a COVID-19 infection. A wearable medical device measured breathing rate, heart rate, heart rate variability, and wrist skin temperature in 1163 participants (mean age = 44.1 years, standard deviation [SD] = 5.6; 667 [57%] females). Participants reported daily symptoms and confounders in a complementary app. A machine learning algorithm retrospectively ingested daily biophysical parameters to detect COVID-19 infections. COVID-19 serology samples were collected from all participants at baseline and follow-up. We analysed potential sex-specific differences in physiology and antibody titres using multilevel modelling and t-tests. Over 1.5 million hours of physiological data were recorded. During the symptomatic period of infection, men demonstrated larger increases in skin temperature, breathing rate, and heart rate as well as larger decreases in heart rate variability than women. The COVID-19 infection detection algorithm performed similarly well for men and women. Our study belongs to the first research to provide evidence for differential physiological responses to COVID-19 between females and males, highlighting the potential of wearable technology to inform future precision medicine approaches. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

3. The number of beds occupied is an independent risk factor for discharge of trauma patients

Author

Halvachizadeh, Sascha, Leibovitz, Daniel, Held, Leonhard, Jensen, Kai Oliver, Pape, Hans-Christoph, Muller, Dominik, Neuhaus, Valentin, and University of Zurich

Subjects
Male, 610 Medicine & health, General Medicine, 10060 Epidemiology, Biostatistics and Prevention Institute (EBPI), 2700 General Medicine, Middle Aged, Patient Discharge, Hospitalization, 10021 Department of Trauma Surgery, Risk Factors, Humans, Female, Triage, Retrospective Studies
Abstract

Reducing the burden of limited capacity on medical practitioners and public health systems requires a time-dependent characterization of hospitalization rates, such that inferences can be drawn about the underlying causes for hospitalization and patient discharge. The aim of this study was to analyze non-medical risk factors that lead to the discharge of trauma patients. This retrospective cohort study includes trauma patients who were treated in Switzerland between 2011 and 2018. The national Swiss database for quality assurance in surgery (AQC) was reviewed for trauma diagnoses according to the ICD-10 code. Non-medical risk factors include seasonal changes, daily changes, holidays, and number of beds occupied by trauma patients across Switzerland. Individual patient information was aggregated into counts per day of total patients, as well as counts per day of levels of each categorical variable of interest. The ARIMA-modeling was utilized to model the number of discharges per day as a function of auto aggressive function of all previously mentioned risk factors. This study includes 226,708 patients, 118,059 male (age 48.18, standard deviation (SD) 22.34 years) and 108,649 female (age 62.57, SD 22.89 years) trauma patients. The mean length of stay was 7.16 (SD 14.84) days and most patients were discharged home (n = 168,582, 74.8%). A weekly and yearly seasonality trend can be observed in admission trends. The mean number of occupied trauma beds ranges from 3700 to 4000 per day. The number of occupied beds increases on weekdays and decreases on holidays. The number of occupied beds is a positive, independent risk factor for discharge in trauma patients; as the number of occupied beds increases at any given time, so does the risk for discharge. The number of beds occupied represents an independent non-medical risk factor for discharge. Capacity determines triage of hospitalized patients and therefore might increase the risk of premature discharge.

Published
2022

6. The number of beds occupied is an independent risk factor for discharge of trauma patients

Author

Halvachizadeh, Sascha; https://orcid.org/0000-0003-1393-3232, Leibovitz, Daniel; https://orcid.org/0000-0003-4512-2514, Held, Leonhard; https://orcid.org/0000-0002-8686-5325, Jensen, Kai Oliver; https://orcid.org/0000-0002-6207-8087, Pape, Hans-Christoph; https://orcid.org/0000-0002-2059-4980, Muller, Dominik, Neuhaus, Valentin; https://orcid.org/0000-0003-4012-5628, Halvachizadeh, Sascha; https://orcid.org/0000-0003-1393-3232, Leibovitz, Daniel; https://orcid.org/0000-0003-4512-2514, Held, Leonhard; https://orcid.org/0000-0002-8686-5325, Jensen, Kai Oliver; https://orcid.org/0000-0002-6207-8087, Pape, Hans-Christoph; https://orcid.org/0000-0002-2059-4980, Muller, Dominik, and Neuhaus, Valentin; https://orcid.org/0000-0003-4012-5628

Abstract

Reducing the burden of limited capacity on medical practitioners and public health systems requires a time-dependent characterization of hospitalization rates, such that inferences can be drawn about the underlying causes for hospitalization and patient discharge. The aim of this study was to analyze non-medical risk factors that lead to the discharge of trauma patients. This retrospective cohort study includes trauma patients who were treated in Switzerland between 2011 and 2018. The national Swiss database for quality assurance in surgery (AQC) was reviewed for trauma diagnoses according to the ICD-10 code. Non-medical risk factors include seasonal changes, daily changes, holidays, and number of beds occupied by trauma patients across Switzerland. Individual patient information was aggregated into counts per day of total patients, as well as counts per day of levels of each categorical variable of interest. The ARIMA-modeling was utilized to model the number of discharges per day as a function of auto aggressive function of all previously mentioned risk factors. This study includes 226,708 patients, 118,059 male (age 48.18, standard deviation (SD) 22.34 years) and 108,649 female (age 62.57, SD 22.89 years) trauma patients. The mean length of stay was 7.16 (SD 14.84) days and most patients were discharged home (n = 168,582, 74.8%). A weekly and yearly seasonality trend can be observed in admission trends. The mean number of occupied trauma beds ranges from 3700 to 4000 per day. The number of occupied beds increases on weekdays and decreases on holidays. The number of occupied beds is a positive, independent risk factor for discharge in trauma patients; as the number of occupied beds increases at any given time, so does the risk for discharge. The number of beds occupied represents an independent non-medical risk factor for discharge. Capacity determines triage of hospitalized patients and therefore might increase the risk of premature discharge.

Published
2022

7. Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective cohort study (COVI-GAPP)

Author

Risch, Martin, primary, Grossmann, Kirsten, additional, Aeschbacher, Stefanie, additional, Weideli, Ornella C, additional, Kovac, Marc, additional, Pereira, Fiona, additional, Wohlwend, Nadia, additional, Risch, Corina, additional, Hillmann, Dorothea, additional, Lung, Thomas, additional, Renz, Harald, additional, Twerenbold, Raphael, additional, Rothenbühler, Martina, additional, Leibovitz, Daniel, additional, Kovacevic, Vladimir, additional, Markovic, Andjela, additional, Klaver, Paul, additional, Brakenhoff, Timo B, additional, Franks, Billy, additional, Mitratza, Marianna, additional, Downward, George S, additional, Dowling, Ariel, additional, Montes, Santiago, additional, Grobbee, Diederick E, additional, Cronin, Maureen, additional, Conen, David, additional, Goodale, Brianna M, additional, and Risch, Lorenz, additional

Published
2022
Full Text
View/download PDF

8. Investigation of the Use of a Sensor Bracelet for the Pre-Symptomatic Detection of COVID-19: A National Cohort Study (COVI-Gapp)

Author

Risch, Martin, primary, Grossmann, Kirsten, additional, Aeschbacher, Stefanie, additional, Weideli, Ornella C., additional, Kovac, Marc, additional, Pereira, Fiona, additional, Wohlwend, Nadia, additional, Risch, Corina, additional, Hillmann, Dorothea, additional, Lung, Thomas, additional, Renz, Harald, additional, Twerenbold, Raphael, additional, Rothenbühler, Martina, additional, Leibovitz, Daniel, additional, Kovacevic, Vladimir, additional, Klaver, Paul, additional, Brakenhoff, Timo B., additional, Franks, Billy, additional, Mitratza, Marianna, additional, Downward, George S., additional, Dowling, Ariel, additional, Montes, Santiago, additional, Grobbee, Diederick E., additional, Cronin, Maureen, additional, Conen, David, additional, Goodale, Brianna M., additional, and Risch, Lorenz, additional

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results