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Clinical Characteristics of Patients who Died Within a Year in a Tertiary Intensive Care Unit
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.
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.
Keywords
Kaynakça
- 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.
Ayrıntılar
Birincil Dil
İngilizce
Konular
İç Hastalıkları
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
1 Eylül 2021
Gönderilme Tarihi
3 Haziran 2021
Kabul Tarihi
29 Haziran 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 3 Sayı: 3