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Abstract

Introduction. Rapid Emergency Medicine Score (REMS) has been known as a useful instrument to stratify patients in emergency department (ED) based on its ability to predict short term mortality. As the clinical characteristics of elderly patients visiting ED are frequently aypical, validation of REMS in this specific population is very important. To measure predictive validity of REMS in elderly patients visiting ED Methods. Prospective cohort study in elderly visiting ED of Cipto Mangunkusumo between September to October 2016. Subjects were followed for 30 days after visiting ED. Calibration (Hosmer Lemeshow test), discrimination (Area Under ROC Curve) and REMS predictive value of 30 days mortality were measured. Result. Of 321 elderly subjects visiting ED during study period, 306 subjects were included in the study. Among them, 163 (53,2%) were men. 30 days mortality incidence was 22,8% (95% CI 22,3-23,3). Median age was 68,3 (6,7) year. As many as 83 (27%) subjects were in red triage. There were 154 (50%) patients with REMS 0-7, 140 (46%) with REMS 8-17 and 12(4%) with REMS more than 17. Calibration plot shows r=0,23 with poor calibration (p=0,00) in Hosmer Lemeshow test. AUC of REMS in predicting 30 days mortality in elderly was 0,45 (95% CI 0,23-0,66). Conclusion. REMS shows poor calibration and discrimination in eldery patients visiting ED.

References

1. Abikusno N. Older population in Indonesia: trends, issues, and policy responses [Internet]. United Nation Population Fund Indonesia and Country Technical Services Team for East and SouthEast Asia; 2017 [Diakses 22 April 2016]. Tersedia di:http://unfpa. org/webdav/site/asiapacific/shared/Publications 2. Imison C, Poteliakhoff E, Thompson J. Older people and emergency bed use exploring variation [Internet]. Marylebone: The King’s Fund; Aug 2012 [Diakses 22 April 2016]. Tersedia di:https://www. kingsfund.org.uk/sites/files/kf/field/field_publication_file/olderpeople-and-emergency-bed-use-aug-2012.pdf 3. Jayadevappa R. Quality of emergency department care for elderly. Emerg Med. 2011;1:e107. 4. Buurman BM, van den Berg W, Korevaar JC, Milisen K, de Haan RJ, de Rooij SE. Risk for poor outcomes in older patients discharged from an emergency department: feasibility of four screening instruments. Eur J Emerg Med. 2011;18(4):215–20. 5. McCusker J, Bellavance F, Cardin S, Trepanier S, Verdon J, Ardman O. 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):1229–37. 6. Aminzadeh F, Dalziel WB. 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):238–47. 7. Olsson T, Terrent A, Lind L. Rapid emergency medicine score: a new prognostic tool for in-hospital mortality in nonsurgical emergency department patients. J Intern Med. 2004;255(5):579–87. 8. Winardi M, Amin Z, Pitoyo CW, Ramlan AAW, Dewiasty A. Validasi Rapid Emergency Scoring System Dalam Memprediksi Mortalitas Pasien Gawat Darurat Non Bedah [Tesis]. Jakarta: Universitas Indonesia; 2013. 9. Briggs R, Coughlan T, Collins R, O’Neill D, Kennelly SP. Nursing home residents attending the emergency depart- ment: clinical characteristics and outcomes. QJM. 2013;106(9):803–08. 10. Kennelly SP, Morley D, Coughlan T, Collins R, Rochford M, O’Neill D. Knowledge, skills and attitudes of doctors towards assessing cognition in older patients in the emergency department. Postgrad Med J. 2013;89(1049):137–41. 11. RSUPN Dr Cipto Mangunkusumo. Data Kunjungan Pasien IGD RSCM 2015. Jakarta: RSCM; 2016. 12. Lunaesti C, Rahardja C, Firdaus R, Wijaya AA. Prediktor kematian pada pasien dengan keadaan kritis yang dirawat di instalasi gawat darurat: sebuah studi di rumah sakit rujukan nasional. Departemen Anestesiologi dan Intensive Care, Fakultas Kedokteran Universitas Indonesia, Rumah Sakit Cipto Mangunkusumo, Jakarta, 2011. (Tidak dipublikasi). 13. Hambali W. Peran bersihan laktat pada kesintasan pasien sepsis berat [tesis]. [Jakarta]: Universitas Indonesia; 2011. 14. Hericos M, Saad A, Azrin M. Profil penderita asma yang berobat ke instalasi gawat darurat RSUD Arifin Achmad Provinsi Riau periode Januari – Desember 2011 [diakses 4 April 2013]. Tersedia di: 15. Azmi E, Sukiandra R, Fridayenti. Gambaran kadar kolesterol HDL dan tekanan darah pasien stroke yang dirawat di bagian saraf RSUD Arifin Achmad Provinsi Riau [diakses 4 April 2013]. Tersedia di: 123456789/1602/1/Artikel%20Publikasi.pdf 16. Goodacre S, Turner J, Nicholl J. Prediction of mortality among emergency medical admissions. Emerg Med J. 2006;23(5):372–5. 17. Merz TM, Etter R, Mende L, Barthelmes D, Wiegand J, Martinolli L, Takala J. Risk assessment in the first fifteen minutes: a prospective cohort study of a simple physiological scoring system in the emergency department. Crit care. 2011;15(1):R25. 18. Dwimartutie N, Setiati S, Wahyudi ER, Harimurti K. Model Prediksi Mortalitas 30 hari pasien usia lanjut di ruang rawat akut geriatri menggunakan Domain P3G [Tesis]. [Jakarta]: Universitas Indonesia; 2014. 19. Walter LC, Brand RJ, Cousell Sr, Palmer RM, LEindefeld CS, Fortinsky RH, et al. Development and validation of a prognostic index for1 year mortality in older adults after hospitalization. JAMA. 2001;285(23):2987-94. 20. Inouye SK, Foreman MD, Mion LC, Katz KH, Cooney LM Jr. Nurses’ recognition of delirium and its symptoms: comparison of nurse and researcher ratings. Arch Intern Med. 2001;161(20):2467–73. 21. Harimurti K, Setiati S, Rumende CM. Identifikasi faktor prediktor kematian pada pasien usia lanjut dengan pneumonia komunitas: suatu studi prognostik sebagai upaya stratifikasi risiko kematian dalam rangka tata laksana pasien usia lanjut yang optimal dan efisien (Laporan Pendahuluan). Jakarta: Departemen Ilmu Penyakit Dalam, Fakultas Kedokteran UI/RS Cipto Mangunkusumo; 2010 22. Buurman BM, van den Berg W, Korevaar JC, Milisen K, de Haan RJ and de Rooij SE. Risk for poor outcomes in older patients discharged from an emergency department: feasibility of four screening instruments. Eur J Emerg Med. 2011;18(4):215-20. 23. Di Bari M, Salvi F, Roberts AT, Balzi D, Loren- zetti B, Morichi V, Rossi L, Lattanzio F. Screening Instruments for elderly patients in the emergency department: a comparison of Identification of Senior at Risk” and the “Silver Code”. J Gerontol A Biol Sci Med Sci. 2012;67:544-50. 24. Salvi F, Morichi V, Grilli A, Spazzafumo L, Giorgi R, Polonara S, De Tommaso G and Dessì-Fulgh. Predictive validity of Identification of Seniors At Risk (ISAR) screening tool in elderly patients presenting to two Italian Emergency Departments. Aging Clin Exp Res. 2009;21(1):69-75. 25. Ghanem Zoubi NO, Vardi M, Laor A, Weber G, Bitterman H. Assessment of disease-severity scoring systems for patients with sepsis in general internal medicine departments. Crit Care. 2011;15(2):R95. 26. Cattermole GN, Mak SP, Liow CE, Ho MF, Hung KYG, Keung KM, et al. Derivation of a prognostic score for identifying critically ill patients in an emergency department resuscitation room. Resuscitation. 2009;80(9):1000–5. 21. Harimurti K, Setiati S, Rumende CM. Identifikasi faktor prediktor kematian pada pasien usia lanjut dengan pneumonia komunitas: suatu studi prognostik sebagai upaya stratifikasi risiko kematian dalam rangka tata laksana pasien usia lanjut yang optimal dan efisien (Laporan Pendahuluan). Jakarta: Departemen Ilmu Penyakit Dalam, Fakultas Kedokteran UI/RS Cipto Mangunkusumo; 2010 22. Buurman BM, van den Berg W, Korevaar JC, Milisen K, de Haan RJ and de Rooij SE. Risk for poor outcomes in older patients discharged from an emergency department: feasibility of four screening instruments. Eur J Emerg Med. 2011;18(4):215-20. 23. Di Bari M, Salvi F, Roberts AT, Balzi D, Loren- zetti B, Morichi V, Rossi L, Lattanzio F. Screening Instruments for elderly patients in the emergency department: a comparison of Identification of Senior at Risk” and the “Silver Code”. J Gerontol A Biol Sci Med Sci. 2012;67:544-50. 24. Salvi F, Morichi V, Grilli A, Spazzafumo L, Giorgi R, Polonara S, De Tommaso G and Dessì-Fulgh. Predictive validity of Identification of Seniors At Risk (ISAR) screening tool in elderly patients presenting to two Italian Emergency Departments. Aging Clin Exp Res. 2009;21(1):69-75. 25. Ghanem Zoubi NO, Vardi M, Laor A, Weber G, Bitterman H. Assessment of disease-severity scoring systems for patients with sepsis in general internal medicine departments. Crit Care. 2011;15(2):R95. 26. Cattermole GN, Mak SP, Liow CE, Ho MF, Hung KYG, Keung KM, et al. Derivation of a prognostic score for identifying critically ill patients in an emergency department resuscitation room. Resuscitation. 2009;80(9):1000–5. 21. Harimurti K, Setiati S, Rumende CM. Identifikasi faktor prediktor kematian pada pasien usia lanjut dengan pneumonia komunitas: suatu studi prognostik sebagai upaya stratifikasi risiko kematian dalam rangka tata laksana pasien usia lanjut yang optimal dan efisien (Laporan Pendahuluan). Jakarta: Departemen Ilmu Penyakit Dalam, Fakultas Kedokteran UI/RS Cipto Mangunkusumo; 2010 22. Buurman BM, van den Berg W, Korevaar JC, Milisen K, de Haan RJ and de Rooij SE. Risk for poor outcomes in older patients discharged from an emergency department: feasibility of four screening instruments. Eur J Emerg Med. 2011;18(4):215-20. 23. Di Bari M, Salvi F, Roberts AT, Balzi D, Loren- zetti B, Morichi V, Rossi L, Lattanzio F. Screening Instruments for elderly patients in the emergency department: a comparison of Identification of Senior at Risk” and the “Silver Code”. J Gerontol A Biol Sci Med Sci. 2012;67:544-50. 24. Salvi F, Morichi V, Grilli A, Spazzafumo L, Giorgi R, Polonara S, De Tommaso G and Dessì-Fulgh. Predictive validity of Identification of Seniors At Risk (ISAR) screening tool in elderly patients presenting to two Italian Emergency Departments. Aging Clin Exp Res. 2009;21(1):69-75. 25. Ghanem Zoubi NO, Vardi M, Laor A, Weber G, Bitterman H. Assessment of disease-severity scoring systems for patients with sepsis in general internal medicine departments. Crit Care. 2011;15(2):R95. 26. Cattermole GN, Mak SP, Liow CE, Ho MF, Hung KYG, Keung KM, et al. Derivation of a prognostic score for identifying critically ill patients in an emergency department resuscitation room. Resuscitation. 2009;80(9):1000–5.

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