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Üçüncü Basamak Bir Yoğun Bakım Ünitesinde Bir Yıl Içinde Ölen Hastaların Klinik Özellikleri

Year 2021, Volume: 3 Issue: 3, 197 - 203, 01.09.2021
https://doi.org/10.37990/medr.946800

Abstract

Amaç: Amaç: Bu çalışmada Yoğun Bakım Ünitesinde (YBÜ) bir yıl içinde mortalite gözlenen hastaların klinik özelliklerinin saptanması ve YBÜ’ye kabul esnasında albümin, laktat seviyelerinin ve Acute Physiology and Chronic Health Evaluation II (APACHE II) skorlarının YBÜ yatış süresi ile ilişkisinin belirlenmesi amaçlandı.
Materyal ve Metot: Çalışmada Ocak 2018 ve Aralık 2018 tarihleri arasında YBÜ’de mortalite gözlenen (n:350) hastaların dosyaları retrospektif olarak incelendi. Hastaların demografik verileriyle birlikte klinik özellikleri, YBÜ’ye kabul tipi (cerrahi veya dahili), kabul edildiği üniteleri, kabul nedenleri, komorbiditeleri, kabul albümin ve laktat seviyeleri, APACHE II skorları ve YBÜ yatış süreleri kayıt edildi. Hastaların klinik özelliklerinin YBÜ yatış süresi ve laboratuvar değerleri ile ilişkisi değerlendirildi.
Bulgular: Hastaların yaş ortalaması 72.68±12.98 yıl, ortalama APACHE II skoru 27.0±10.0, albümin değeri 3.1±0.7 g/dL ve laktat değeri 4.1±3.3 mmol/L olarak belirlendi. Mekanik ventilatör (MV) ihtiyacı nedeniyle YBÜ’ye kabul edilen hastalarda albümin değerinin daha düşük olduğu (p<0.001), laktat değerinin ve APACHE II skorunun post–kardiyopulmoner resusitasyon hastalarda anlamlı olarak daha yüksek olduğu saptandı (p<0.001). YBÜ yatış süresi ortalaması 28.24 ± 37.53 gündü. Hastaların yatış süresi ile albümin arasında zayıf pozitif korelasyon (r = 0.172, p = 0.001), laktat (r = 0.121, p = 0.023) ve APACHE II skorları ile zayıf negatif korelasyon bulundu (r = 0,151, p = 0,001). Hastaların albümin ile laktat (r = 0.152, p = 0.004) arasında ve APACHE II skoru (r = 0.179, p = 0.001) arasında zayıf negatif korelasyon ve laktat ile APACHE II skoru arasında (r =0,401, p<0.001) orta derecede pozitif korelasyon bulundu.
Sonuç: Bu çalışmada, YBÜ’de mortalite gözlenen hastalarda hipoalbuminemi, hiperlaktatemi ve yüksek APACHE II skorları ile YBÜ yatış süresi arasında anlamlı bir ilişki gözlendi. Bu ilişkinin YBÜ’lerin etkin kullanımına etkilerini göstermek için daha kapsamlı araştırmalar gereklidir.

References

  • 1. Martin CM, Hill AD, Burns K, et al. Characteristics and outcomes for critically ill patients with prolonged intensive care unit stays. Crit Care Med 2005;33:1922–7.
  • 2. Ihra GC, Lehberger J, Hochrieser H, et al. Development of demographics and outcome of very old critically ill patients admitted to intensive care units. Intensive Care Med 2012;38:620–6.
  • 3. Weigl W, Adamski J, Goryński P, Kański A, Hultström M. ICU mortality and variables associated with ICU survival in Poland: A nationwide database study. Eur J Anaesthesiol 2018;35:949–54.
  • 4. Weigl W, Adamski J, Goryński P, Kański A, Hultström M. Mortality rate is higher in Polish intensive care units than in other European countries. Intensive Care Medicine. 2017, May 8.
  • 5. Siddiqui S. Mortality profile across our Intensive Care Units: A 5-year database report from a Singapore restructured hospital. Indian J Crit Care Med 2015;19:726-7.
  • 6. Pehlivanlar Küçük M, Özlü T, Küçük AO, et al. Mortality prediction ability of phycians in intensive care units of Turkey. Tuberk Toraks 2020;68:205-217.
  • 7. Çakir E, Kocabeyoğlu GM, Gürbüz Ö, Özen SB, Mutlu NM. Yoğun Bakım Ünitesinde Mortalite Sıklığı Ve Risk Faktörlerinin Değerlendirilmesi. Ankara Eğt Arş Hast Derg 2020;53:20-24.
  • 8. Akkoc I, Yucetas E, Isıtemız I, et al. Mortality Rate In Intensive Care Units of Tertiary Health Institutions and Identifying Risk Factors: Analysis of 3945 Patients. Bezmialem Sci 2017; 5: 116–20.
  • 9. Cantürk M. Analysis of Patients Discharged as Exitus from Intensive Care Unit : One Year Data of a Tertiary Health Institution. Ahı Evran Medıcal Journal 2018;3:34–40.
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  • 16. Adıyaman E, Tokur ME, Mermi Bal Z, Gökmen AN, Koca U. Retrospective Analysis of Trauma Patients Who were Treated and Followed in Anesthesia Intensive Care Unit. Turkish J Intensive Care 2019;17:146–53.
  • 17. Akın S, Gündoğan K, Coşkun R, et al. Critically Ill Elderly Patient Mortality: Is Age a Risk Factor? J Med Surg Intensive Care Med 2014;5:26–9.
  • 18. Becker S, Müller J, de Heer G, et al. Clinical characteristics and outcome of very elderly patients ≥90 years in intensive care: a retrospective observational study. Ann Intensive Care 2015;5:1–8.
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  • 21. Rellos K, Falagas ME, Vardakas KZ, Sermaides G, Michalopoulos A. Outcome of critically ill oldest-old patients (aged 90 and older) admitted to the intensive care unit. J Am Geriatr Soc 2006;54(1):110–4.
  • 22. Lai CC, Ko SC, Chen CM, Weng SF, Tseng KL, Cheng KC. The outcomes and prognostic factors of the very elderly requiring prolonged mechanical ventilation in a single respiratory care center. Med (United States) 2016;95:1–5.
  • 23. Meregalli A, Oliveira RP, Friedman G. Occult hypoperfusion is associated with increased mortality in hemodynamically stable, high-risk, surgical patients. Crit Care 2004;8:60–5.
  • 24. Demircan A, Aygencel Bikmaz G, Kadi G, et al. Evaluation of the general characteristics of patients aged 85 years and above admitted to a university hospital emergency department. Turkish J Med Sci 2017;47:1393–402.
  • 25. Laupland KB, Kirkpatrick AW, Kortbeek JB, Zuege DJ. Long-term mortality outcome associated with prolonged admission to the ICU. Chest 2006;129:954–9.
  • 26. Martini V, Lederer AK, Laessle C, et al. Clinical characteristics and outcomes of surgical patients with intensive care unit lengths of stay of 90 days and greater. Crit Care Res Pract 2017;7.
  • 27. Rordorf G, Koroshetz W, Efird JT, Cramer SC. Predictors of mortality in stroke patients admitted to an intensive care unit. Crit Care Med 2000;28:1301–5.
  • 28. Soliman HM, Vincent JL. Prognostic value of admission serum lactate concentrations in intensive care unit patients. Acta Clin Belg 2010;65:176–81.

Clinical Characteristics of Patients who Died Within a Year in a Tertiary Intensive Care Unit

Year 2021, Volume: 3 Issue: 3, 197 - 203, 01.09.2021
https://doi.org/10.37990/medr.946800

Abstract

Aim: The aim of this study was to find out the clinical characteristics of patients who died within a year in the intensive care unit (ICU) and to find out the association of ICU admission albumin, lactate levels and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores of these patients who died with ICU length of stay.
Material and Method: The files of patients who died in the ICU (n:350) between January 2018 and December 2018 were examined retrospectively. The patients’ demographic data and their clinical characteristics, ICU admission types (surgery or medical medicine), the units they were admitted in, reasons for admission, comorbidities, admission albumin and lactate levels, APACHE II scores and ICU length of stay were recorded. The association of patients’ clinical characteristics with ICU length of stay and laboratory values was evaluated.
Result: The patients’ mean age was 72.68±12.98 years, mean APACHE II score was 27.0±10.0, mean albumin value was 3.1±0.7 g/dL and mean lactate value was 4.1±3.3 mmol/L. It was found that albumin value was lower in patients admitted to ICU with mechanical ventilator (MV) need (p<0.001), and lactate value and APACHE II score were significantly higher in patients with post-cardiopulmonary resuscitation (p<0.001). Mean ICU length of stay was 28.24 ± 37.53 days. A weak positive correlation (r =0.172, p=0.001) was found between the patients’ length of stay and albumin, and a weak negative correlation was found with the lactat (r = 0.121, p=0.023) and APACHE II scores (r = 0.151, p=0.001). A weak negative correlation was found between the patients’ albumin and lactate (r =0.152, p=0.004), and APACHE II score (r =0.179, p=0.001), as well as a moderate positive correlation between lactate and APACHE II score.
Conclusion: Significant association was found between hypoalbuminemia, hyperlactatemia and high APACHE II scores and ICU length of stay in patients who died in ICU. More comprehensive studies are needed to show the effects of this association on effective use of ICUs. 

References

  • 1. Martin CM, Hill AD, Burns K, et al. Characteristics and outcomes for critically ill patients with prolonged intensive care unit stays. Crit Care Med 2005;33:1922–7.
  • 2. Ihra GC, Lehberger J, Hochrieser H, et al. Development of demographics and outcome of very old critically ill patients admitted to intensive care units. Intensive Care Med 2012;38:620–6.
  • 3. Weigl W, Adamski J, Goryński P, Kański A, Hultström M. ICU mortality and variables associated with ICU survival in Poland: A nationwide database study. Eur J Anaesthesiol 2018;35:949–54.
  • 4. Weigl W, Adamski J, Goryński P, Kański A, Hultström M. Mortality rate is higher in Polish intensive care units than in other European countries. Intensive Care Medicine. 2017, May 8.
  • 5. Siddiqui S. Mortality profile across our Intensive Care Units: A 5-year database report from a Singapore restructured hospital. Indian J Crit Care Med 2015;19:726-7.
  • 6. Pehlivanlar Küçük M, Özlü T, Küçük AO, et al. Mortality prediction ability of phycians in intensive care units of Turkey. Tuberk Toraks 2020;68:205-217.
  • 7. Çakir E, Kocabeyoğlu GM, Gürbüz Ö, Özen SB, Mutlu NM. Yoğun Bakım Ünitesinde Mortalite Sıklığı Ve Risk Faktörlerinin Değerlendirilmesi. Ankara Eğt Arş Hast Derg 2020;53:20-24.
  • 8. Akkoc I, Yucetas E, Isıtemız I, et al. Mortality Rate In Intensive Care Units of Tertiary Health Institutions and Identifying Risk Factors: Analysis of 3945 Patients. Bezmialem Sci 2017; 5: 116–20.
  • 9. Cantürk M. Analysis of Patients Discharged as Exitus from Intensive Care Unit : One Year Data of a Tertiary Health Institution. Ahı Evran Medıcal Journal 2018;3:34–40.
  • 10. https://www.saglik.gov.tr/TR,62400/saglik-istatistikleri-yilligi-2018. Sağlık İstatistikleri Yıllığı 2018. Available from: Mart 2021.
  • 11. Nelson JE, Cox CE, Hope AA, Carson SS. Chronic critical illness. Am J Respir Crit Care Med 2010;182:446–54.
  • 12. Kıray G, İnal MT, Memiş D, Turan FN. Investigation of the Factors Affecting Prolonged Intensive Care Unit. Turkish J Intensive Care 202018:84–90.
  • 13. Boumendil A, Somme D, Garrouste-Orgeas M, Guidet B. Should elderly patients be admitted to the intensive care unit? Intensive Care Med 2007;33:1252–62.
  • 14. Bagshaw SM, Webb SAR, Delaney A, et al. Very old patients admitted to intensive care in Australia and New Zealand: A multi-centre cohort analysis. Crit Care 2009;13:R45.
  • 15. Atalay E, Erdoğdu Hİ, Tur BK, et al. The relationship between c reactive protein/albumin ratio and 1-year mortality in hospitalized elderly copd patients with acute exacerbation. Turk Geriatr Derg 2019;22:9–17.
  • 16. Adıyaman E, Tokur ME, Mermi Bal Z, Gökmen AN, Koca U. Retrospective Analysis of Trauma Patients Who were Treated and Followed in Anesthesia Intensive Care Unit. Turkish J Intensive Care 2019;17:146–53.
  • 17. Akın S, Gündoğan K, Coşkun R, et al. Critically Ill Elderly Patient Mortality: Is Age a Risk Factor? J Med Surg Intensive Care Med 2014;5:26–9.
  • 18. Becker S, Müller J, de Heer G, et al. Clinical characteristics and outcome of very elderly patients ≥90 years in intensive care: a retrospective observational study. Ann Intensive Care 2015;5:1–8.
  • 19. Al-Dorzi HM, Tamim HM, Mundekkadan S, Sohail MR, Arabi YM. Characteristics, management and outcomes of critically ill patients who are 80 years and older: A retrospective comparative cohort study. BMC Anesthesiol 2014;14:1–9.
  • 20. Doğan Baki E, Yüksek A, Bezen BA, Saritaş TB, Sivaci R. Retrospective analysis of anesthesia in geriatric patients during endoscopic retrograde cholangiopancreatography abstract. Turk Geriatr Derg 2018;21:225–30.
  • 21. Rellos K, Falagas ME, Vardakas KZ, Sermaides G, Michalopoulos A. Outcome of critically ill oldest-old patients (aged 90 and older) admitted to the intensive care unit. J Am Geriatr Soc 2006;54(1):110–4.
  • 22. Lai CC, Ko SC, Chen CM, Weng SF, Tseng KL, Cheng KC. The outcomes and prognostic factors of the very elderly requiring prolonged mechanical ventilation in a single respiratory care center. Med (United States) 2016;95:1–5.
  • 23. Meregalli A, Oliveira RP, Friedman G. Occult hypoperfusion is associated with increased mortality in hemodynamically stable, high-risk, surgical patients. Crit Care 2004;8:60–5.
  • 24. Demircan A, Aygencel Bikmaz G, Kadi G, et al. Evaluation of the general characteristics of patients aged 85 years and above admitted to a university hospital emergency department. Turkish J Med Sci 2017;47:1393–402.
  • 25. Laupland KB, Kirkpatrick AW, Kortbeek JB, Zuege DJ. Long-term mortality outcome associated with prolonged admission to the ICU. Chest 2006;129:954–9.
  • 26. Martini V, Lederer AK, Laessle C, et al. Clinical characteristics and outcomes of surgical patients with intensive care unit lengths of stay of 90 days and greater. Crit Care Res Pract 2017;7.
  • 27. Rordorf G, Koroshetz W, Efird JT, Cramer SC. Predictors of mortality in stroke patients admitted to an intensive care unit. Crit Care Med 2000;28:1301–5.
  • 28. Soliman HM, Vincent JL. Prognostic value of admission serum lactate concentrations in intensive care unit patients. Acta Clin Belg 2010;65:176–81.
There are 28 citations in total.

Details

Primary Language English
Subjects ​Internal Diseases
Journal Section Original Articles
Authors

Ökkeş Hakan Miniksar 0000-0001-5645-7729

Erol Toy

Publication Date September 1, 2021
Acceptance Date June 29, 2021
Published in Issue Year 2021 Volume: 3 Issue: 3

Cite

AMA Miniksar ÖH, Toy E. Clinical Characteristics of Patients who Died Within a Year in a Tertiary Intensive Care Unit. Med Records. September 2021;3(3):197-203. doi:10.37990/medr.946800

17741

Chief Editors

Assoc. Prof. Zülal Öner
Address: İzmir Bakırçay University, Department of Anatomy, İzmir, Türkiye

Assoc. Prof. Deniz Şenol
Address: Düzce University, Department of Anatomy, Düzce, Türkiye

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