The impact of remote ICD follow up on a large tertiary care center

Heart Rhythm ◽  
2005 ◽  
Vol 2 (5) ◽  
pp. S105-S106
Author(s):  
Elizabeth A. Ching ◽  
Bruce L. Wilkoff ◽  
Beverly M. Foxhall ◽  
Miriam Grooms ◽  
Janet Davis ◽  
...  
PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e89984 ◽  
Author(s):  
Marios Arvanitis ◽  
Theodora Anagnostou ◽  
Themistoklis K. Kourkoumpetis ◽  
Panayiotis D. Ziakas ◽  
Athanasios Desalermos ◽  
...  

2017 ◽  
Vol 152 (5) ◽  
pp. S201-S202
Author(s):  
Jacob A. Kurowski ◽  
Alex Milinovich ◽  
Kevin Chagin ◽  
Xinge Ji ◽  
Janine Bauman ◽  
...  

2021 ◽  
Vol 93 (6) ◽  
pp. AB139-AB140
Author(s):  
Martin Coronel ◽  
Firas Bahdi ◽  
Disha Kumar ◽  
Shria Kumar ◽  
Phillip Lum ◽  
...  

2020 ◽  
Vol 41 (S1) ◽  
pp. s263-s264
Author(s):  
Jordan Polistico ◽  
Avnish Sandhu ◽  
Teena Chopra ◽  
Erin Goldman ◽  
Jennifer LeRose ◽  
...  

Background: Influenza causes a high burden of disease in the United States, with an estimate of 960,000 hospitalizations in the 2017–2018 flu season. Traditional flu diagnostic polymerase chain reaction (PCR) tests have a longer (24 hours or more) turnaround time that may lead to an increase in unnecessary inpatient admissions during peak influenza season. A new point-of-care rapid PCR assays, Xpert Flu, is an FDA-approved PCR test that has a significant decrease in turnaround time (2 hours). The present study sought to understand the impact of implementing a new Xpert Flu test on the rate of inpatient admissions. Methods: A retrospective study was conducted to compare rates of inpatient admissions in patients tested with traditional flu PCR during the 2017–2018 flu season and the rapid flu PCR during the 2018–2019 flu season in a tertiary-care center in greater Detroit area. The center has 1 pediatric hospital (hospital A) and 3 adult hospitals (hospital B, C, D). Patients with influenza-like illness who presented to all 4 hospitals during 2 consecutive influenza seasons were analyzed. Results: In total, 20,923 patients were tested with either the rapid flu PCR or the traditional flu PCR. Among these, 14,124 patients (67.2%) were discharged from the emergency department and 6,844 (32.7%) were admitted. There was a significant decrease in inpatient admissions in the traditional flu PCR group compared to the rapid flu PCR group across all hospitals (49.56% vs 26.6% respectively; P < .001). As expected, a significant proportion of influenza testing was performed in the pediatric hospital, 10,513 (50.2%). A greater reduction (30% decrease in the rapid flu PCR group compared to the traditional flu PCR group) was observed in inpatient admissions in the pediatric hospital (Table 1) Conclusions: Rapid molecular influenza testing can significantly decrease inpatient admissions in a busy tertiary-care hospital, which can indirectly lead to improved patient quality with easy bed availability and less time spent in a private room with droplet precautions. Last but not the least, this testing method can certainly lead to lower healthcare costs.Funding: NoneDisclosures: None


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
C. A. Cabizuca ◽  
P. S. Rocha ◽  
J. V. Marques ◽  
T. F. L. R. Costa ◽  
A. S. N. Santos ◽  
...  

Author(s):  
Michele Spinicci ◽  
Iacopo Vellere ◽  
Lucia Graziani ◽  
Marta Tilli ◽  
Beatrice Borchi ◽  
...  

Abstract We evaluated 100 post-acute COVID-19 patients, a median of 60 days (IQR 48-67) after discharge from the Careggi University Hospital, Italy. Eighty-four (84%) had at least one persistent symptom, irrespective of COVID-19 severity. A considerable number of hospital re-admission (10%) and/or infectious diseases (14%) during the post-discharge period was reported.


2021 ◽  
Vol 86 ◽  
pp. 97-102
Author(s):  
Hatice Yuksel ◽  
Gorkem Tutal Gursoy ◽  
Ebru Bilge Dirik ◽  
Safiye Gul Kenar ◽  
Hesna Bektas ◽  
...  

2016 ◽  
Vol 5 (5) ◽  
pp. S22-S23
Author(s):  
Linette Mejias ◽  
Elly Landolfi ◽  
Tatyana Kalinicheva ◽  
Dongping Shi ◽  
Sudeshna Bandyopadhyay ◽  
...  

2018 ◽  
Vol 4 (5) ◽  
Author(s):  
Ayman Gehad Elnahry ◽  
Mohamed Mahmoud Khafagy ◽  
Soheir Mohamed Esmat ◽  
Hassan Aly Mortada

2021 ◽  
Vol 1 (S1) ◽  
pp. s20-s21
Author(s):  
Alexandra Trannel ◽  
Takaaki Kobayashi ◽  
Oluchi Abosi ◽  
Kyle Jenn ◽  
Holly Meacham ◽  
...  

Background: Hospital semiprivate rooms may lead to coronavirus disease 2019 (COVID-19) patient exposures. We investigated the risk of COVID-19 patient-to-patient exposure in semiprivate rooms and the subsequent risk of acquiring COVID-19. Methods: The University of Iowa Hospitals & Clinics is an 811-bed tertiary care center. Overall, 16% of patient days are spent in semiprivate rooms. Most patients do not wear masks while in semiprivate rooms. Active COVID-19 surveillance included admission and every 5 days nasopharyngeal SARS-CoV-2 polymerase chain reaction (PCR) testing. We identified inpatients with COVID-19 who were in semiprivate rooms during their infectious periods during July–December 2020. Testing was repeated 24 hours after the first positive test. Cycle threshold (Ct) values of the two tests (average Ct <30), SARS-CoV-2 serology results, clinical assessment, and COVID-19 history were used to determine patient infectiousness. Roommates were considered exposed if in the same semiprivate room with an infectious patient. Exposed patients were notified, quarantined (private room), and follow-up testing was arranged (median seven days). Conversion was defined as having a negative test followed by a subsequent positive within 14 days after exposure. We calculated the risk of exposure: number of infectious patients in semiprivate rooms/number of semiprivate patient-days (hospitalization days in semiprivate rooms). Results: There were 16,427 semiprivate patient days during July–December 2020. We identified 43 COVID-19 inpatients who roommates during their infectious periods. Most infectious patients (77%) were male; the median age was 67 years; and 22 (51%) were symptomatic. Most were detected during active surveillance: admission testing (51%) and serial testing (28%). There were 57 exposed roommates. The risk of exposure was 3 of 1,000 semiprivate patient days. In total, 16 roommates (28%) did not complete follow-up testing. Of 41 exposed patients with follow-up data, 8 (20%) converted following their exposure. Median time to conversion was 5 days. The risk of exposure and subsequent conversion was 0.7 of 1,000 semiprivate patient days. Median Ct value of the source patient was 20 for those who converted and 23 for those who did not convert. Median exposure time was 45 hours (range, 3–73) for those who converted and 12 hours (range, 1–75) for those who did not convert. Conclusions: The overall risk of exposure in semiprivate rooms was low. The conversion rate was comparable to that reported for household exposures. Lower Ct values and lengthier exposures may be associated with conversion. Active COVID-19 surveillance helps early detection and decreases exposure time.Funding: NoDisclosures: None


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