Journals / Türk Geriatri Dergisi / 2018 / Cilt: 21 - Sayı: 3

NON-TRADITIONAL MORTALITY PREDICTORS FOR GERIATRIC INTENSIVE CARE UNIT PATIENTS

GERİATRİK YOĞUN BAKIM HASTALARINDA MORTALİTE ÖNGÖRÜCÜLERİ

Pages
323–332
Publication Date
2022-11-05
DOI
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In addition timely changed NLR and MPV were also independent mortality predictors[0.41 (95% CI 0.30-0.55) p

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Objective & Hypothesis:Introduction: There is an increased number of elderly patients in intensive care units.Decreased physiological reserve and frailty makes them more vulnerable to illnesses.Materials and Method: Geriatric intensive care unit patients (n=1093), who had nohistory of malignancy and chemotherapy with hospitalised more than 3 days were examinedretrospectively.
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Key Findings & Data:Clinical and laboratory values on admission and at the final, discharge or dead,were recorded.
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Conclusion & Impact:In addition timely changed NLR and MPV were also independent mortality predictors[0.41 (95% CI 0.30-0.55) p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Introduction: There is an increased number of elderly patients in intensive care units.Decreased physiological reserve and frailty makes them more vulnerable to illnesses.Materials and Method: Geriatric intensive care unit patients (n=1093), who had nohistory of malignancy and chemotherapy with hospitalised more than 3 days were examinedretrospectively. Clinical and laboratory values on admission and at the final, discharge or dead,were recorded. Non traditional mortality predictors neutrophil,to,lymphocyte count (NLR) andmean platelet volume (MPV), and timely changes of these parameters were examined.Results: Readily measurable and effective markers foreseeing outcome are vitalimportance. In this retrospective cohort, we showed that neutrophil-to-lymphocyte count(NLR) and mean platelet volume (MPV) are independent mortality predictors in geriatricpatients. In addition timely changed NLR and MPV were also independent mortality predictors[0.41 (95% CI 0.30-0.55) p

Özet

Giriş: Yoğun bakımlarda izlenen geriatrik hasta sayısı giderek artmaktadır. Fizyolojik rezervlerin azalması ve kırılganlık, bu hastaları, daha savunmasız hale getirmektedir. Prognozu öngörmede, kolay ölçülebilen ve etkili göstergeler hayati önem taşımaktadır. Gereç ve Yöntem: Bu çalışmada, yoğun bakım ünitesinde 3 günden fazla yatarak izlenen, herhangi bir malignite ve kemoterapi öyküsü olmayan geriatrik hastaların (n=1093) verileri retrospektif olarak incelenmiştir. Hastaların laboratuvar ve klinik verileri, kliniğe giriş ve sonlanım olmak üzere kaydedildi. Geleneksel olmayan mortalite öngörücüleri; nötrofil-lenfosit oranı (NLO) ve ortalama trombosit hacmi (MPV) ve bu parametrelerin zamansal değişimi incelenmiştir. Retrospektif kohort çalışmamızda, geriatrik hastalarda nötrofil-lenfosit oranı (NLO) ve ortalama trombosit hacminin (MPV) bağımsız mortalite prediktörleri olduğunu saptadık. Aynı zamanda, NLO ve MPV’nin zamanla değişiminin de mortalite göstergesi olduğunu saptadık [sırasıyla 0.41 (% 95CI 0.30-0.55) p

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Cite This Article

KILAVUZ, A., AKÇİÇEK, F., BOZKURT, D., KÖSE, T., CAFEROV, N. (2022). NON-TRADITIONAL MORTALITY PREDICTORS FOR GERIATRIC INTENSIVE CARE UNIT PATIENTS. Türk Geriatri Dergisi, Cilt: 21 - Sayı: 3, 323–332. https://ajindex.com/articles/623694

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References (13)

  1. Marik PE. Management of the critically ill geriatric patient. Crit Care Med 2006
  2. S176-S82. (PMID:16917421). Aksoydan E. Are developing countries ready for ageing populations? An examination on the sociodemographic, economic and health status of elderly in Turkey. Turkish Journal of Geriatrics 2009
  3. 12(2):102– 9. (in Turkish). Wang X, Zhang G, Jiang X, Zhu H, Lu Z, Xu L. Neutrophil to lymphocyte ratio in relation to risk of all-cause mortality and cardiovascular events among patients undergoing angiography or cardiac revascularization: a meta-analysis of observational studies. Atherosclerosis 2014
  4. 234(1):206-13. (PMID:24681815). Yılmaz G, Sevinc C, Ustundag S, et al. The relationship between mean platelet volume and neutrophil/ lymphocyte ratio with inflammation and proteinuria in chronic kidney disease. Saudi J Kidney Dis Transpl 2017
  5. 28(1):90-4. (PMID:28098108). Cataudella E, Giraffa CM, Di Marca S, et al. neutrophilto-lymphocyte ratio: an emerging marker predicting prognosis in elderly adults with community-acquired pneumonia. J Am Geriatr Soc 2017
  6. 65(8):1796-801. (PMID:28407209). Hirakata H, Nitta K, Inaba M, et al. Japanese Society for Dialysis Therapy. Japanese Society for Dialysis Therapy guidelines for management of cardiovascular diseases in patients on chronic hemodialysis. Ther Apher Dial 2012
  7. 16(5):387-435. (PMID:23046367). Vincent JL, Dubois MJ, Navickis RJ, Wilkes MM. Hypoalbuminemia in acute illness: is there a rationale for intervention? A meta-analysis of cohort studies and controlled trials. Ann Surg 2003
  8. 237(3):319–34. (PMID:12616115). Mohamed AKS, Mehta AA, James P. Predictors of mortality of severe sepsis among adult patients in the medical Intensive Care Unit. Lung India 2017
  9. 34(4):330-5. (PMID:28671163). Susantitaphong P, Cruz DN, Cerda J, et al. World incidence of AKI: a meta-analysis. Clinical journal of the American Society of Nephrology: CJASN 2013
  10. (PMID:23744003). Fang Y, Ding X, Zhong Y, et al. Acute kidney injury in a Chinese hospitalized population. Blood purification 2010
  11. 120–6. (PMID:20714143). Sodhi K, Singla MK, Shrivastava A, Bansal N. Do intensive care unit treatment modalities predict mortality in geriatric patients: An observational study from an Indian Intensive Care Unit. Indian J Crit Care Med 2014 Dec
  12. 18(12):789-95. (PMID:25538413). Farrell SG, Mitnitski AB, Rockwood K, Rutenberg AD. Network model of human aging: frailty limits and information measures. Phys Rev E 2016
  13. 94(5- 1):052409. (PMID:2796709