Critically ill elderly patient mortality: Is age a risk factor? Yoğun bakımda yaşlı hasta mortalitesi: Yaş risk faktörü mü?

Akin S., Gundogan K., Coskun R., YÜKSEL R. C., Topaloglu U. S., Ozturk F., ...Daha Fazla

Journal of Medical and Surgical Intensive Care Medicine, cilt.5, sa.2, ss.26-29, 2014 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5 Sayı: 2
  • Basım Tarihi: 2014
  • Doi Numarası: 10.5152/dcbybd.2014.667
  • Dergi Adı: Journal of Medical and Surgical Intensive Care Medicine
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, CINAHL, EMBASE
  • Sayfa Sayıları: ss.26-29
  • Anahtar Kelimeler: Elderly, intensive care unit, mortality, risk factors, QUALITY-OF-LIFE, INTENSIVE-CARE, SHORT-TERM, ICU
  • Lokman Hekim Üniversitesi Adresli: Hayır

Özet

© 2014, AVES Ibrahim Kara. All Rights reserved.Objective: The aim of this study is to evaluate mortality rates and risk factors for mortality among patients more than 65 years old admitted to the medical intensive care unit (ICU). Material and Methods: ICU admissions of patients older than 65 years were retrospectively analyzed. Patients divided into three groups according to their age: 65-74 (group 1), 75-84 (group 2), and 85 age and over (group 3). Results: A total of 442 patients were included into the study. The mean age of the patients was 75±7 years, and 49% of them was female. The overall mortality rate was 83%. Every 1-point rise in Sequential Organ Failure Assessment (SOFA) score was associated with a 1.48-fold (95% CI 1.32-1.68, p<0.001) increase in mortality rate. Mechanical ventilation (MV) was associated with a 5.02-fold (95% CI 2.57-9.80, p<0.001) increase in mortality rate. MV (both invasive and non-invasive together) was associated with 4.32 fold increase in mortality. (95% CI 1.71-10.45, p=0.002). Conclusion: The comorbid conditions of patients and severity of disease should be considered for mortality prediction for critically ill elderly patients.