Acil serviste geriatrik hastaların değerlendirilmesinde skorlama sistemlerinin rolü

Amaç: Bu çalışmada acil serviste kritik geriatrik hastaları belirlemede skorlama sistemlerinin güvenilirliğini karşılaştırmayı amaçlanmıştır. Gereç ve Yöntem: Bu prospektif çalışmaya 15 Ekim 2014-15 Kasım 2014 tarihleri arasında acil servise başvuran 65 yaş üstü hastalar dahil edildi. Çalışmada APACHE II (Akut Fizyoloji ve Kronik Sağlık Değerlendirmesi II) , REMS (Hızlı Acil Tıp Skoru), HOTEL (hipotansiyon, oksijen satürasyonu, düşük vücut sıcaklığı, EKG değişiklikleri ve bağımsız yaşam kaybı), VIEWS (Vital PAC Erken Uyarı Skoru) ve VIEWS-L (Vital PAC Laktat Seviyesi ile Erken Uyarı Skoru) değerlendirildi. Bulgular: Çalışmaya dahil edilen 244 hastadan sağ kalanların yaş ortalaması 75.69 ± 6.96 yıl, ölen vakaların yaş ortalaması 80.47 ± 6.63 yıl, 139’u (%57) kadındı. Çalışmaya alınan hastaların 30'u (%12,3) mortal sonuçlandı. Yoğun bakımda yatan hastaların risk puanları, servisten taburcu olan veya hospitalize edilenlere göre daha yüksekti. Mortalite grubundaki tüm risk skorları diğer hasta gruplarına göre anlamlı derecede yüksek bulundu. Sonuç: Çalışma, acil serviste geriatrik hastaların değerlendirilmesinde, mortaliteyi ön görebilmek ve kritik hastaları seçebilmek için risk skorlama sistemlerinin güvenle kullanılabileceğini göstermiştir.

The role of scoring systems in evaluation of the geriatric patients in emergency department

Purpose: The aim of this study was to compare the reliability of scoring methods in determining critical geriatric patients in the emergency department. Materials and Methods: This prospective study included patients aged over 65 who presented to the emergency department between 15 October 2014 and 15 November 2014. APACHE II (Acute Physiology and Chronic Health Evaluation II), REMS (Rapid Emergency Medicine Score), HOTEL (Hypotension, Oxygen saturation, low Temperature, ECG changes, and Loss of independence), VIEWS (Vital PAC Early Warning Score) and VIEWS-L (Vital PAC Early Warning Score with Lactate Level) were evaluated. Results: Of the 244 patients included in the study, the mean age of survivors was 75.69 ± 6.96 years, and the mean age of the mortal cases was 80.47 ± 6.63 years, 139 (57%) women. It was found that 30 (12.3%) of the patients included in the study died. The risk scores of the patients hospitalized in the intensive care unit were higher than those who were discharged or hospitalized. All risk scores in the mortality group were found to be significantly higher than the other patient groups. Conclusion: The study showed that risk scoring systems can be used safely in the evaluation of geriatric patients in the emergency department, to predict mortality and to select critically ill patients.

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  • 1. Aschkenasy MT, Rothenhaus TC. Trauma and falls in the elderly. Emerg Med Clin North Am. 2006;24:413- 32.
  • 2. Adedipe A, Lowenstein R. Infectious emergencies in the elderly. Emerg Med Clin North Am. 2006;24:433- 48.
  • 3. Kahn JH, Magauran B. Trends in geriatric emergency medicine. Emerg Med Clin North Am. 2006;24:243- 60.
  • 4. Mattu A. Geriatric Emergency Medicine. Emerg Med Clin North Am. 2016;34:435-694.
  • 5. Olsson T, Lind L. Comparison of the rapid emergency medicine score and APACHE II in nonsurgical emergency department patients. Acad Emerg Med. 2003;10:1040-8.
  • 6. Olsson T, Terent A, Lind L. Rapid Emergency Medicine score: a new prognostic tool for in-hospital mortality in nonsurgical emergency department patients. J Intern Med. 2004;255:579-87.
  • 7. Goodacre S, Turner J, Nicholl J. Prediction of mortality among emergency medical admissions. Emerg Med J. 2006;23:372-5.
  • 8. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818-29.
  • 9. Baines E, Kanagasundaram NS. Early warning scores. BMJ. 2008;16:320-1.
  • 10. Kellett J, Deane B, Gleeson M. Derivation and validation of a score based on Hypotension, Oxygen saturation, low Temperature, ECG changes and Loss of independence (HOTEL) that predicts early mortality between 15 min and 24 h after admission to an acute medical unit. Resuscitation. 2008;78:52-8.
  • 11. Prytherch DR, Smith GB, Schmidt PE, Featherstone PI. ViEWS--Towards a national early warning score for detecting adult inpatient deterioration. Resuscitation. 2010;81:932-7.
  • 12. Jo S, Lee JB, Jin YH, Jeong TO, Yoon JC, Jun YK et al. Modified early warning score with rapid lactate level in critically ill medical patients: the ViEWS-L score. Emerg Med J. 2013;30:123-9.
  • 13. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics. 1988;44:837– 45.
  • 14. Chesi G, Nardi R. Severity stratification of patients hospitalized on the Internal Medicine ward: work in progress. Italian Journal of Medicine. 2013;7:231-3.
  • 15. Brabrand M, Folkestad L, Clausen NG, Knudsen T, Hallas J. Risk scoring systems for adults admitted to the emergency department: a systematic review. Scand J Trauma Resusc Emerg Med. 2010;18:8.
  • 16. McClish DK, Powell SH. How well can physicians estimate mortality in a medical intensive care unit? Med Decis Making. 1989;9:125-32.
  • 17. Baz Ü, Satar S, Kozacı N, Açıkalın A, Gülen M, Karakurt Ü. Geriatric patient admissions to the emergency service. The Journal Of Academic Emergency Medicine. 2014;13:53-7.
  • 18. Kekeç Z, Koç F, Büyük S. Acil serviste yaşlı hasta yatışlarının gözden geçirilmesi. Akademik Acil Tıp Dergisi. 2009;8(3):21-4.
  • 19. Mert E. Use of emergency departments by elderly patients. Turk J Geriatr. 2006;9:70-4.
  • 20. Sona A, Maggiani G, Astengo M, Comba M, Chiusano V, Isaia G, et al. Determinants of recourse to hospital treatment in the elderly. EJPH. 2012;22:76-80.
  • 21. McCusker J, Cardin S, Bellavance F, Belzile E. Return to the emergency department among elders: patterns and predictors. Acad Emerg Med. 2000;7:249-59.
  • 22. Ünsal A, Çevik AA, Metintaş S, Arslantaş D, İnan ObÇ. Emergency department visits by elderly patients. Turk J Geriatr. 2003;6:83-8.
  • 23. Vanpee D, Swine C, Vandenbossche P, Gillet JB. Epidemiological profile of geriatric patients admitted to the emergency department of a university hospital localized in a rural area. Eur J Emerg Med. 2001;8:301- 4.
  • 24. Ross MA, Compton S, Richardson D, Jones R, Nittis T, Wilson A. The use and effectiveness of an emergency department observation unit for elderly patients. Ann Emerg Med. 2003;41:668-77.
  • 25. Fadıloğlu Ç, Tokem Y. The role of the nurse in geriatric rehabilitation. Turk J Geriatr. 2004;7:241-6.
  • 26. Lim KH, Yap KB. The prescribing pattern of outpatient polyclinic doctors. Singapore Med J. 1999;40:416-9.
  • 27. Fillenbaum GG, Pieper CF, Cohen HJ, CornoniHuntley JC, Guralnik JM. Comorbidity of five chronic health conditions in elderly community residents: determinants and impact on mortality. J Gerontol A Biol Sci Med Sci. 2000;55:84-9.
  • 28. Farley H, Zubrow MT, Gies J, Kolm P, Mascioli S, Mahoney DD, et al. Emergency department tachypnea predicts transfer to a higher level of care in the first 24 hours after ED admission. Acad Emerg Med. 2010;17:718-22.
  • 29. Considine J, Thomas S, Potter R. Predictors of critical care admission in emergency department patients triaged as low to moderate urgency. J Adv Nurs. 2009;65:818-27.
  • 30. Bulut M, Cebicci H, Sigirli D, Sak A, Durmus O, Top AA et al. The comparison of modified early warning score with rapid emergency medicine score: a prospective multicentre observational cohort study on medical and surgical patients presenting to emergency department. Emerg Med J. 2014;31:476-81.
  • 31. Fan JS, Kao WF, Yen DH, Wang LM, Huang CI, Lee CH. Risk factors and prognostic predictors of unexpected intensive care unit admission within 3 days after ED discharge. Am J Emerg Med. 2007;25:1009-14.
  • 32. Kuo SH, Tsai CF, Li CR, Tsai SJ, Chao WN, Chan KS et al. Rapid Emergency Medicine Score as a main predictor of mortality in Vibrio vulnificus-related patients. Am J Emerg Med. 2013;31:1037-41.
  • 33. Wheeler I, Price C, Sitch A, Banda P, Kellett J, Nyirenda M et al. Early warning scores generated in developed healthcare settings are not sufficient at predicting early mortality in Blantyre, Malawi: a prospective cohort study. PloS One. 2013;8:59830.
Cukurova Medical Journal-Cover
  • ISSN: 2602-3032
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1976
  • Yayıncı: Çukurova Üniversitesi Tıp Fakültesi
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