Journals / Cukurova Medical Journal / 2019 / Cilt: 44 - Sayı: Ek Sayı 1

Relationship between mortality and baseline platelet to lymphocyte ratio in hemodialysis patients

Hemodiyaliz hastalarında mortalite ile bazal trombosit lenfosit oranı arasındaki ilişki

Pages
400–411
Publication Date
2022-10-12
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Baseline 3.hemodialysis month PLR of which is easily accessible,inexpensive and simple, can be a predictor of mortality atfollow up period in hemodialysis patients.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Purpose: The aim of this study was to evaluate baselineparameters including platelet-lymphocyte ratio (PLR) andneutrophil-lymphocyte ratio (NLR) as predictive value formortality in hemodialysis patients.Materials and Methods: In this study 129 patientsundergoing hemodialysis more than 3 months, wereevaluated for survival between 1999 and 2017.
📊
Key Findings & Data:In the 3.Month of beginning of hemodialysis clinical andlaboratory parameters of the patients were evaluatedretrospectively.
💡
Conclusion & Impact:Baseline 3.hemodialysis month PLR of which is easily accessible,inexpensive and simple, can be a predictor of mortality atfollow up period in hemodialysis patients.
🔬Design:Modeling & Simulation
📍Scope:2017 Verileri
⚙️Variables:Domain Parameters

Abstract

Purpose: The aim of this study was to evaluate baselineparameters including platelet-lymphocyte ratio (PLR) andneutrophil-lymphocyte ratio (NLR) as predictive value formortality in hemodialysis patients.Materials and Methods: In this study 129 patientsundergoing hemodialysis more than 3 months, wereevaluated for survival between 1999 and 2017. In the 3.Month of beginning of hemodialysis clinical andlaboratory parameters of the patients were evaluatedretrospectively. The patients were separated into 2 groupsas dead and living. After 30 excluded patients due to studycriteria, 33 paients of the remaining 99 patients died and66 were still undergoing hemodialysis.Results: The mean age of patients was 57 ± 18.9 years (13-93), 46.5% (46) were female and mean hemodialysisvintage was 35.02 ± 30.44 months. According to KaplanMeier, survival analysis PLR was significantly higher inhemodialysis patients who died compared to survivinghemodialysis patients but NLR was not different inhemodialysis patients who surviving or died. MultivariateCox regression analysis model, correlated factorsassociated with mortality were PLR and serum sodium.Conclusion: Baseline PLR and serum sodium were foundto be sensitive biomarkers for mortality. Baseline 3.hemodialysis month PLR of which is easily accessible,inexpensive and simple, can be a predictor of mortality atfollow up period in hemodialysis patients.

Özet

Amaç: Bu çalışmada, hemodiyaliz hastalarında trombositlenfosit oranı (PLR) ve nötrofil-lenfosit oranı (NLR) gibi temel parametrelerin mortalite ile ilişkisinin değerlendirilmesi amaçlanmıştır.. Gereç ve Yöntem: Bu çalışmada, 1999-2017 yılları arasında, 3 aydan uzun süre hemodiyalize giren 129 hasta retrospektif olarak değerlendirildi. Hastalar dışlama kriterlerinden sonra, halen diyalize giren (n=66) ve ölen (n=33) olarak 2 gruba ayrıldı. Hastaların hemodiyaliz başlangıç (hemodiyalizden sonraki üçüncü ay) klinik ve laboratuvar kayıtları değerlendirilerek mortalite ile ilişkisi araştırıldı. Bulgular: Hastaların yaş ortalaması 57 ± 18,9 yıl (13-93), % 46,5'i (46) kadın ve ortalama hemodiyaliz süresi 35.02 ± 30.44 ay idi. Kaplan Meier sağkalım analizine göre PLR, sağ kalan hemodiyaliz hastalarına kıyasla ölen hemodiyaliz hastalarında anlamlı olarak daha yüksekti, ancak NLR sağ kalan ya da ölen hemodiyaliz hastalarında farklı değildi. Çok değişkenli Cox regresyon analiz modelinde, mortalite ile ilişkili faktörler PLR ve serum sodyum idi. Sonuç: Bazal PLR ve serum sodyumun mortalite için hassas biyobelirteçler olduğunu söyleyebiliriz. Hemodiyalizin 3. ayındaki bazal PLR, kolay erişilebilir, ucuz ve basit bir belirteç olup takip süresince mortalite göstergesi olabilir.

🔖

Cite This Article

Kaya, B., Paydaş, S., Kara, E. (2022). Relationship between mortality and baseline platelet to lymphocyte ratio in hemodialysis patients. Cukurova Medical Journal, Cilt: 44 - Sayı: Ek Sayı 1, 400–411. https://ajindex.com/articles/476824

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Foley RN, Parfrey PS, Sarnak MJ. Clinical epidemiology of cardiovascular disease in chronic renal disease. Am J Kidney Dis. 1998;32:112-9
  2. Dummer CD, Thome FS, Veronese FV. Chronic renal disease, inflammation and atherosclerosis: new concepts about an old problem. Rev Assoc Med Bras (1992). 2007;53:446-50
  3. Dai L, Golembiewska E, Lindholm B, Stenvinkel P. End-Stage Renal Disease, Inflammation and Cardiovascular Outcomes. Contrib Nephrol. 2017;191:32-43
  4. Akchurin OM, Kaskel F. Update on inflammation in chronic kidney disease. Blood Purif. 2015;39:84-92
  5. Kalantar-Zadeh K, Stenvinkel P, Pillon L, Kopple JD. Inflammation and nutrition in renal insufficiency. Adv Ren Replace Ther. 2003;10:155-69
  6. Stenvinkel P, Alvestrand A. Inflammation in endstage renal disease: sources, consequences, and therapy. Semin Dial. 2002;15:329-37
  7. Yeun JY, Levine RA, Mantadilok V, Kaysen GA. CReactive protein predicts all-cause and cardiovascular mortality in hemodialysis patients. Am J Kidney Dis. 2000;35:469-76
  8. Qureshi AR, Alvestrand A, Divino-Filho JC, Gutierrez A, Heimburger O, Lindholm B, et al. Inflammation, malnutrition, and cardiac disease as predictors of mortality in hemodialysis patients. J Am Soc Nephrol. 2002;13:28-36
  9. Zhang W, He J, Zhang F, Huang C, Wu Y, Han Y et al. Prognostic role of C-reactive protein and interleukin-6 in dialysis patients: a systematic review and meta-analysis. J Nephrol. 2013;26:243-53
  10. Hsu HC, Tsai WH, Jiang ML, Ho CH, Hsu ML, Ho CK et al. Circulating levels of thrombopoietic and inflammatory cytokines in patients with clonal and reactive thrombocytosis. J Lab Clin Med. 1999;134:392-7
  11. Sayinalp N, Haznedaroglu IC, Ozdemir O, Ozcebe OI, Dundar S, Kirazli S. Interleukin-1 beta and interleukin-6 in clonal versus reactive thrombocytosis. Eur J Haematol. 1995;55:339-40
  12. Tefferi A, Ho TC, Ahmann GJ, Katzmann JA, Greipp PR. Plasma interleukin-6 and C-reactive protein levels in reactive versus clonal thrombocytosis. Am J Med. 1994;97:374-8
  13. Zahorec R. Ratio of neutrophil to lymphocyte counts- -rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy. 2001;102:5- 14
  14. Ouellet G, Malhotra R, Penne EL, Usvya L, Levin NW, Kotanko P. Neutrophil-lymphocyte ratio as a novel predictor of survival in chronic hemodialysis patients. Clin Nephrol. 2016;85:191-8
  15. Templeton AJ, Ace O, McNamara MG, Al-Mubarak M, Vera-Badillo FE, Hermanns T et al. Prognostic role of platelet t