Frailty Measurement Using Administrative Data in Older Patients With Cardiovascular Disease

2020 ◽  
Vol 5 (8) ◽  
pp. 967
Author(s):  
Abdulla A. Damluji ◽  
Gary Gerstenblith ◽  
Jodi B. Segal
BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033374 ◽  
Author(s):  
Daniela Balzi ◽  
Giulia Carreras ◽  
Francesco Tonarelli ◽  
Luca Degli Esposti ◽  
Paola Michelozzi ◽  
...  

ObjectiveIdentification of older patients at risk, among those accessing the emergency department (ED), may support clinical decision-making. To this purpose, we developed and validated the Dynamic Silver Code (DSC), a score based on real-time linkage of administrative data.Design and settingThe ‘Silver Code National Project (SCNP)’, a non-concurrent cohort study, was used for retrospective development and internal validation of the DSC. External validation was obtained in the ‘Anziani in DEA (AIDEA)’ concurrent cohort study, where the DSC was generated by the software routinely used in the ED.ParticipantsThe SCNP contained 281 321 records of 180 079 residents aged 75+ years from Tuscany and Lazio, Italy, admitted via the ED to Internal Medicine or Geriatrics units. The AIDEA study enrolled 4425 subjects aged 75+ years (5217 records) accessing two EDs in the area of Florence, Italy.InterventionsNone.Outcome measuresPrimary outcome: 1-year mortality. Secondary outcomes: 7 and 30-day mortality and 1-year recurrent ED visits.ResultsAdvancing age, male gender, previous hospital admission, discharge diagnosis, time from discharge and polypharmacy predicted 1-year mortality and contributed to the DSC in the development subsample of the SCNP cohort. Based on score quartiles, participants were classified into low, medium, high and very high-risk classes. In the SCNP validation sample, mortality increased progressively from 144 to 367 per 1000 person-years, across DSC classes, with HR (95% CI) of 1.92 (1.85 to 1.99), 2.71 (2.61 to 2.81) and 5.40 (5.21 to 5.59) in class II, III and IV, respectively versus class I (p<0.001). Findings were similar in AIDEA, where the DSC predicted also recurrent ED visits in 1 year. In both databases, the DSC predicted 7 and 30-day mortality.ConclusionsThe DSC, based on administrative data available in real time, predicts prognosis of older patients and might improve their management in the ED.


2020 ◽  
Vol 95 (6) ◽  
pp. 1231-1252 ◽  
Author(s):  
Mandeep Singh ◽  
John A. Spertus ◽  
Shahyar M. Gharacholou ◽  
Rakesh C. Arora ◽  
Robert J. Widmer ◽  
...  

2020 ◽  
Vol 18 (2) ◽  
pp. 141-148
Author(s):  
Anne-Sophie Boureau ◽  
Laure de Decker ◽  
Gilles Berrut ◽  
Olivier Hanon

2018 ◽  
Vol 9 (6) ◽  
pp. 853-861 ◽  
Author(s):  
Eléonore F. van Dam van Isselt ◽  
Jan van Wijngaarden ◽  
Dirk J. A. Lok ◽  
Wilco P. Achterberg

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Bastiaan Van Grootven ◽  
Anthony Jeuris ◽  
Maren Jonckers ◽  
Els Devriendt ◽  
Bernadette Dierckx de Casterlé ◽  
...  

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Laurien E. Zijlstra ◽  
Stella Trompet ◽  
Simon P. Mooijaart ◽  
Marjolijn van Buren ◽  
Naveed Sattar ◽  
...  

2018 ◽  
Vol 7 (5) ◽  
pp. 7
Author(s):  
Stacy A. Ackroyd-Stolarz ◽  
Susan K. Bowles ◽  
Lorri Giffin

Objective: Older patients are at higher risk of experiencing an adverse event (AE) during an acute hospitalization. The objective of the current study was to use routinely collected administrative data to characterize AEs and their system-level impact for older patients hospitalized in one Canadian health authority.Methods: This retrospective cross-sectional study occurred in the Capital District Health Authority in Nova Scotia, Canada between April 1, 2012 and March 31, 2013. The primary outcome was identification of pressure ulcers, fall-related injuries and adverse drug events in patients 65 years of age and older admitted to an acute inpatient service. AEs were identified using validated screening criteria. Data were analyzed using standard descriptive statistics.Results: There were 11,747 hospitalizations during the study period. A total of 330 (2.8%) AEs in 325 patients were identified using the screening criteria. This included 55 (16.7% of 330) pressure ulcers, 25 (7.6%) fall-related injuries and 250 (75.8%) adverse drug events. The average length of stay was significantly higher in patients with a pressure ulcer (35.8 ± 47.3 vs. 9.0 ± 14.8 days, p < .0001), fall-related injury (30.3 ± 23.2 vs. 9.0 ± 15.2 days, p < .0001), or adverse drug event (14.6 ± 14.4 vs. 9.0 ± 15.2 days, p < .0001) during their acute hospitalization.Conclusions:Use of validated screening criteria with administrative hospitalization data provides important information for monitoring the system-level impact of common AEs in older patients. Significant and clinically important differences in healthcare utilization underscore the value in monitoring these AEs in this growing patient population.


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