TY - JOUR
T1 - Trend of FEV1 in Cystic Fibrosis patients: A telehomecare experience
AU - Murgia, Fabrizio
AU - Tagliente, Irene
AU - Zoppis, Italo
AU - Mauri, Giancarlo
AU - Sicurello, Francesco
AU - Bella, Francesco
AU - Mercuri, Vanessa
AU - Santoro, Eugenio
AU - Castelnuovo, Gianluca
AU - Bella, Sergio
PY - 2016
Y1 - 2016
N2 - Since 2001, in the Cystic Fibrosis Center of the Pediatric Hospital Bambino Gesù in Rome, we use telemedicine for monitoring of our patients. While in our first published works reporting this experience, we showed statistically significant reduction in hospital admissions and a tendency over time towards a better stability of the respiratory function for telehomecare (THC) patients, here we focus on the trend of the Forced Expiratory Volume in the first second (FEV1). In particular, we investigate the evolution of the clinical trend of the FEV1 index, by monitoring the activities of home patients from 2011 to 2014. THC is applied in addition to the standard therapeutic protocol by following 16 Cystic Fibrosis (CF) patients with specialized doctors. Our results show that THC patients improve their FEV1 values with a trend which can be considered significantly better than the one reported by the control group.
AB - Since 2001, in the Cystic Fibrosis Center of the Pediatric Hospital Bambino Gesù in Rome, we use telemedicine for monitoring of our patients. While in our first published works reporting this experience, we showed statistically significant reduction in hospital admissions and a tendency over time towards a better stability of the respiratory function for telehomecare (THC) patients, here we focus on the trend of the Forced Expiratory Volume in the first second (FEV1). In particular, we investigate the evolution of the clinical trend of the FEV1 index, by monitoring the activities of home patients from 2011 to 2014. THC is applied in addition to the standard therapeutic protocol by following 16 Cystic Fibrosis (CF) patients with specialized doctors. Our results show that THC patients improve their FEV1 values with a trend which can be considered significantly better than the one reported by the control group.
KW - Computer Networks and Communications
KW - Computer Science Applications1707 Computer Vision and Pattern Recognition
KW - Mathematics (all)
KW - Signal Processing
KW - Software
KW - Computer Networks and Communications
KW - Computer Science Applications1707 Computer Vision and Pattern Recognition
KW - Mathematics (all)
KW - Signal Processing
KW - Software
UR - http://hdl.handle.net/10807/101564
U2 - 10.1109/ISCC.2016.7543752
DO - 10.1109/ISCC.2016.7543752
M3 - Conference article
SN - 1530-1346
VL - 2016-
SP - 271
EP - 273
JO - PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS
JF - PROCEEDINGS - IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS
T2 - 2016 IEEE Symposium on Computers and Communication, ISCC 2016
Y2 - 27 June 2016 through 1 July 2016
ER -