Literature DB >> 22156440

Prognostic stratification of elderly patients in the emergency department: a comparison between the "Identification of Seniors at Risk" and the "Silver Code".

Mauro Di Bari1, Fabio Salvi, Anna T Roberts, Daniela Balzi, Barbara Lorenzetti, Valeria Morichi, Lorena Rossi, Fabrizia Lattanzio, Niccolò Marchionni.   

Abstract

BACKGROUND: The increasing number of elderly patients accessing emergency departments (EDs) requires use of validated assessment tools. We compared the Identification of Seniors at Risk (ISAR), using direct patient evaluation, with the Silver Code (SC), based on administrative data.
METHODS: Subjects aged 75+ years accessing a geriatric ED over an 8-month period were enrolled. Outcomes were need for hospital admission and mortality at the index ED access, ED return visit, hospitalization, and death at 6 months.
RESULTS: Of 1,632 participants (mean age 84 ± 5.5 years), 75% were ISAR positive, and the sample was homogeneously distributed across the four SC risk categories (cutoffs of 0-3, 4-6, 7-10, and 11+). The two scores were mildly correlated (r = .350, p < .001) and had a similar area under the receiver-operating characteristic curve in predicting hospital admission (ISAR: 0.65, SC: 0.63) and mortality (ISAR: 0.72, SC: 0.70). ISAR-positive subjects were at greater risk of hospitalization and death (odds ratio 2.68 and 5.23, respectively, p < .001); the risk increased across SC classes (p < .001). In the 6-month follow-up of discharged patients, the tools predicted similarly ED return visit, hospital admission, and mortality. The SC predicted these outcomes even in participants not hospitalized at the index ED access.
CONCLUSIONS: Prognostic stratification of elderly ED patients with the SC is comparable with that obtained with direct patient evaluation. The SC, previously validated in hospitalized patients, predicts ED readmissions and future hospitalizations even in patients discharged directly from the ED.

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Year:  2011        PMID: 22156440     DOI: 10.1093/gerona/glr209

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  20 in total

Review 1.  A systematic review of the identification of seniors at risk (ISAR) tool for the prediction of adverse outcome in elderly patients seen in the emergency department.

Authors:  Jin-Lan Yao; Juan Fang; Qing-Qing Lou; Robert M Anderson
Journal:  Int J Clin Exp Med       Date:  2015-04-15

Review 2.  [Preoperative risk identification using the Identification of Seniors at Risk? : Suitability as sole screening tool for inpatient aged risk patients].

Authors:  Simone Gurlit; Henriette Möllmann
Journal:  Z Gerontol Geriatr       Date:  2018-05-23       Impact factor: 1.281

3.  Is polypharmacy an independent risk factor for adverse outcomes after an emergency department visit?

Authors:  Fabio Salvi; Lorena Rossi; Fabrizia Lattanzio; Antonio Cherubini
Journal:  Intern Emerg Med       Date:  2016-04-13       Impact factor: 3.397

4.  A 10-min Targeted Geriatric Assessment Predicts Mortality in Fast-Paced Acute Care Settings: A Prospective Cohort Study.

Authors:  M J R Aliberti; K E Covinsky; D Apolinario; S J Lee; S Q Fortes-Filho; J A Melo; S S C Viana; C K Suemoto; W Jacob-Filho
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

5.  Instruments to identify elderly patients in the emergency department in need of geriatric care.

Authors:  Ulrich Thiem; Hans Jürgen Heppner; Katrin Singler
Journal:  Z Gerontol Geriatr       Date:  2015-01-16       Impact factor: 1.281

6.  Measuring Frailty Can Help Emergency Departments Identify Independent Seniors at Risk of Functional Decline After Minor Injuries.

Authors:  Marie-Josée Sirois; Lauren Griffith; Jeffrey Perry; Raoul Daoust; Nathalie Veillette; Jacques Lee; Mathieu Pelletier; Laura Wilding; Marcel Émond
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-09-22       Impact factor: 6.053

7.  Prognostic importance of baseline neutrophil to lymphocyte ratio in patients with advanced papillary thyroid carcinomas.

Authors:  Ju-Yeon Kim; Taejin Park; Sang-Ho Jeong; Chi-Young Jeong; Young-Tae Ju; Young-Joon Lee; Soon-Chan Hong; Woo-Song Ha; Sang-Kyung Choi; Eun Jung Jung
Journal:  Endocrine       Date:  2013-11-23       Impact factor: 3.633

8.  The Identification of Seniors at Risk (ISAR) score to predict clinical outcomes and health service costs in older people discharged from UK acute medical units.

Authors:  Judi Edmans; Lucy Bradshaw; John R F Gladman; Matthew Franklin; Vladislav Berdunov; Rachel Elliott; Simon P Conroy
Journal:  Age Ageing       Date:  2013-05-10       Impact factor: 10.668

9.  Prospective stratification of patients at risk for emergency department revisit: resource utilization and population management strategy implications.

Authors:  Bo Jin; Yifan Zhao; Shiying Hao; Andrew Young Shin; Yue Wang; Chunqing Zhu; Zhongkai Hu; Changlin Fu; Jun Ji; Yong Wang; Yingzhen Zhao; Yunliang Jiang; Dorothy Dai; Devore S Culver; Shaun T Alfreds; Todd Rogow; Frank Stearns; Karl G Sylvester; Eric Widen; Xuefeng B Ling
Journal:  BMC Emerg Med       Date:  2016-02-03

10.  Adrenomedullin for Risk Stratification of Emergency Patients With Nonspecific Complaints: An Interventional Multicenter Pilot Study.

Authors:  Christian Hans Nickel; Anna Sarah Messmer; Leyla Ghanim; Julia Ilsemann-Karakoumis; Sven Giersdorf; Sabine Hertel; Susanne Ernst; Nicolas Geigy; Roland Bingisser
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

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