• No results found

Cover Page The following handle holds various files of this Leiden University dissertation: http://hdl.handle.net/1887/79262

N/A
N/A
Protected

Academic year: 2021

Share "Cover Page The following handle holds various files of this Leiden University dissertation: http://hdl.handle.net/1887/79262"

Copied!
9
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

Cover Page

The following handle holds various files of this Leiden University dissertation:

http://hdl.handle.net/1887/79262

Author: Gelder, J. de

Title: Prediction of adverse health outcomes in older patients visiting the Emergency

Department: the APOP study

(2)
(3)
(4)

Abstrac

(5)

General introduction

1

| 9

General introduction

Older patients experience high rates of adverse health outcomes after visiting the emergency department (ED),[1] but at the moment of acute presentation it is difficult to determine who will deteriorate. Identification of older patients at risk for adverse health outcomes with a screening instrument may be helpful to assist health care professionals to anticipate on the risk of possible deterioration and deliver care accordingly. Several screening instruments have been developed, of which the Identification of Seniors at Risk (ISAR)[2] and Triage Risk Stratification Tool (TRST)[3] are studied most. Usability of such risk stratification screening instruments is debated, due to the limitation in distinguishing low from high risk patients and because a relatively high proportion of patients is incorrectly assigned as ‘high risk’.[4, 5] To date, there still is a lack of pragmatic, accurate and reliable instruments for risk stratification of older patients in the ED.[4]

The rate of adverse health outcomes is particularly high in the first three months after the ED visit. Approximately 10% will die and up to 45% will experience functional decline. [1] A comprehensive geriatric assessment (CGA) is able to identify the older patients at increased risk and consequently improve outcomes.[6] Performing a CGA in the acute setting is virtually impossible, due to the time limitation and often the condition of the patient. Therefore, another strategy is necessary in order to identify those at high risk. A two-step approach is suggested in order to reduce the incidence of adverse health outcomes.[7] First a screening instrument is needed to identify the patients at increased risk. The second step is to target interventions in patients at highest risk. Interventions which are tailored to the individuals’ need and preferences, for example determined with a CGA, can help older patients to maintain independence.[6, 8]

The ED is designed for acutely ill and injured patients and is characterized by a high patient turnover, rapid triage, acute interventions and with a focus on disposition.[1, 9] Since the 1980’s scientists payed increasing attention to the health care needs of the older patients[10] and now in the 21st century the need to redesign the core of the ED is

(6)

Chapter 1

10 |

experienced as an unfamiliar noisy environment, while laying on a thin mattress in a room with little privacy, with the physical examinations being quickly performed and often with a restriction on nutrition and drinks.[19]

Multiple factors contribute to the complexity of delivering adequate care to the older patient in the ED.[18, 20] Approximately 20-40% of this population present with impaired cognition, but this is recognised only in a third of the cases.[11, 21-23] Older patients often present with atypical symptoms, resulting in incomplete resolution of their initial complaints.[1] They have a high prevalence of comorbidities, which causes that physicians have to deal with a mixture of chronic, subacute and acute issues.[22, 24, 25] The complex older patients in the ED challenges physicians to deliver adequate (after)care for the individual patient.

(7)

General introduction

1

| 11

Outline of the thesis

(8)

Chapter 1

12 |

References

1. Aminzadeh, F. and W.B. Dalziel, Older adults in the emergency department: a systematic review

of patterns of use, adverse outcomes, and effectiveness of interventions. Ann.Emerg.Med., 2002.

39 (3) : p. 238-247.

2. McCusker, J., et al., Detection of older people at increased risk of adverse health outcomes after an

emergency visit: the ISAR screening tool. J.Am.Geriatr.Soc., 1999. 47 (10): p. 1229-1237.

3. Meldon, S.W., et al., A brief risk-stratification tool to predict repeat emergency department visits

and hospitalizations in older patients discharged from the emergency department. Acad Emerg

Med, 2003. 10 (3): p. 224-32.

4. Carpenter, C.R., et al., Risk factors and screening instruments to predict adverse outcomes for

undifferentiated older emergency department patients: a systematic review and meta-analysis.

Acad Emerg Med, 2015. 22 (1): p. 1-21.

5. Yao, J.L., et al., 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. Int J Clin Exp Med, 2015.

8 (4): p. 4778-86.

6. Ellis, G., T. Marshall, and C. Ritchie, Comprehensive geriatric assessment in the emergency

department. Clin Interv Aging, 2014. (9): p. 2033-43.

7. McCusker, J., et al., Rapid two-stage emergency department intervention for seniors: impact on

continuity of care. Acad.Emerg.Med., 2003. 10 (3): p. 233-243.

8. Beswick, A.D., et al., Complex interventions to improve physical function and maintain independent

living in elderly people: a systematic review and meta-analysis. Lancet, 2008. 371 (9614): p. 725-35.

9. Adams, J.G. and L.W. Gerson, A new model for emergency care of geriatric patients. Acad Emerg Med, 2003. 10 (3): p. 271-4.

10. Lowenstein, S.R., et al., Care of the elderly in the emergency department. Ann Emerg Med, 1986. 15 (5): p. 528-35.

11. Samaras, N., et al., Older patients in the emergency department: a review. Ann.Emerg.Med., 2010. 56 (3): p. 261-269.

12. McCusker, J., et al., Determinants of emergency department visits by older adults: a systematic

review. Acad Emerg Med, 2003. 10 (12): p. 1362-70.

13. Gray, L.C., et al., Profiles of older patients in the emergency department: findings from the interRAI

Multinational Emergency Department Study. Ann Emerg Med, 2013. 62 (5): p. 467-74.

14. Gruneir, A., M.J. Silver, and P.A. Rochon, Emergency department use by older adults: a literature

review on trends, appropriateness, and consequences of unmet health care needs. Med Care Res

Rev, 2011. 68 (2): p. 131-55.

15. Sager, M.A., et al., Functional outcomes of acute medical illness and hospitalization in older persons. Arch Intern Med, 1996. 156 (6): p. 645-52.

16. Hastings, S.N., et al., Adverse health outcomes after discharge from the emergency

(9)

General introduction

1

| 13

17. de Saint-Hubert, M., et al., Risk factors predicting later functional decline in older hospitalized

patients. Acta Clin.Belg., 2009. 64 (3): p. 187-194.

18. Singal, B.M., et al., Geriatric patient emergency visits. Part I: Comparison of visits by geriatric and

younger patients. Ann Emerg Med, 1992. 21 (7): p. 802-7.

19. Hwang, U. and R.S. Morrison, The geriatric emergency department. J Am Geriatr Soc, 2007. 55 (11): p. 1873-6.

20. Lucke, J.A., et al., Early prediction of hospital admission for emergency department patients: a

comparison between patients younger or older than 70 years. Emerg Med J, 2018. 35 (1): p. 18-27.

21. Litovitz, G.L., et al., Recognition of psychological and cognitive impairments in the emergency

department. Am J Emerg Med, 1985. 3 (5): p. 400-2.

22. Salvi, F., et al., The elderly in the emergency department: a critical review of problems and solutions. Intern.Emerg.Med., 2007. 2 (4): p. 292-301.

23. Schofield, I., et al., Screening for cognitive impairment in older people attending accident and

emergency using the 4-item Abbreviated Mental Test. Eur J Emerg Med, 2010. 17 (6): p. 340-2.

24. Schellevis, F.G., et al., Comorbidity of chronic diseases in general practice. J Clin Epidemiol, 1993. 46 (5): p. 469-73.

25. Barnett, K., et al., Epidemiology of multimorbidity and implications for health care, research, and

Referenties

GERELATEERDE DOCUMENTEN

Schuit, Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands... van der Ouderaa

In chapter 3 a new prediction model for predicting 90-day functional decline or mortality was developed and validated for older patients visiting the ED: the APOP (Acutely

In hoofdstuk 3 werd een nieuw screeningsinstrument voor het voorspellen van 90 dagen functionele achteruitgang of sterfte ontwikkeld en gevalideerd voor oudere patiënten die de

Prediction of adverse health outcomes in older patients visiting the Emergency Department: the APOP study 1.. Met behulp van de APOP screener kan bij oudere patiënten,

17 These experiments, involving ZFN technolo- gy and various human target cell types (e.g., K562 erythromyeloblastoid leukemia cells, lymphoblastoid cells, and embryonic stem

Ex vivo approaches encompass the in vitro transduction of patient-derived cells (for example, myogenic stem or progenitor cells) with gene-editing viral vectors, which is followed

Hoofdstuk 2 laat zien dat “in trans paired nicking” genoom-editing kan resulteren in de precieze incorpo- ratie van kleine en grote DNA-segmenten op verschillende loci in

Dur- ing her studies in Hebei Medical University, she received a national undergraduate scholarship in 2008 and a national graduate scholarship in 2011 from the Ministry of