Literature DB >> 28918555

Prognostic factors for mortality in middle-aged and older hemodialysis patients: a 5-year observational study.

Kojiro Nagai1, Motokazu Matsuura2, Kenji Tsuchida3, Hiro-Omi Kanayama4, Toshio Doi2, Jun Minakuchi5.   

Abstract

Clinical guidelines for hemodialysis therapy have been described in an evidence-based manner with most evidence from randomized control trials or retrospective studies in which all generations of the hemodialysis patients were enrolled. Therefore, the question still remains whether these guidelines can be applied to increasing older patients. This study is an observational study, including 735 patients who received maintenance hemodialysis in April 2006. At baseline, the participants' age was 62.1 ± 12.8 years (mean ± SD). Hemodialysis duration was 103.7 ± 89.3 months. In a 5-year observation period (actual follow-up period: 1551 ± 499 days), 175 patients died. Prognostic factors were investigated by multivariate analysis with Cox proportional hazard model. Next, we stratified the patients according to their age. 363 patients were included in the middle-aged patient's category between 40 and 64 years, and 314 were involved in the older patient's category between 65 and 84 years old. As a subanalysis, significant predictors of 5-year survival were examined in the age-stratified cohort. Then, Kt/V, serum β2-microglobulin and calcium concentration were significant predictors in our entire cohort, as well as body mass index, neutrophil count, and serum sodium concentration even after adjustment for age, gender, diabetic status and hemodialysis duration. However, Kt/V, serum β2-microglobulin and calcium concentration controlled by hemodialysis prescriptions were independent risk factors especially in older patients, not in middle-aged patients. In conclusion, hemodialysis prescriptions for lowering uremic toxins and managing mineral-bone disorder are important to decrease the risk of death even in older hemodialysis patients.

Entities:  

Keywords:  Aging; Hemodialysis; Hemodialysis prescription; Mortality

Mesh:

Year:  2017        PMID: 28918555     DOI: 10.1007/s10047-017-0993-2

Source DB:  PubMed          Journal:  J Artif Organs        ISSN: 1434-7229            Impact factor:   1.731


  22 in total

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Authors:  Geoffrey A Block
Journal:  Curr Opin Nephrol Hypertens       Date:  2011-07       Impact factor: 2.894

2.  Body fat mass and lean mass as predictors of survival in hemodialysis patients.

Authors:  R Kakiya; T Shoji; Y Tsujimoto; N Tatsumi; S Hatsuda; K Shinohara; E Kimoto; H Tahara; H Koyama; M Emoto; E Ishimura; T Miki; T Tabata; Y Nishizawa
Journal:  Kidney Int       Date:  2006-06-21       Impact factor: 10.612

3.  Clinical practice guideline for the management of chronic kidney disease-mineral and bone disorder.

Authors:  Masafumi Fukagawa; Keitaro Yokoyama; Fumihiko Koiwa; Masatomo Taniguchi; Tetsuo Shoji; Junichiro James Kazama; Hirotaka Komaba; Ryoichi Ando; Takatoshi Kakuta; Hideki Fujii; Msasaaki Nakayama; Yugo Shibagaki; Seiji Fukumoto; Naohiko Fujii; Motoshi Hattori; Akira Ashida; Kunitoshi Iseki; Takashi Shigematsu; Yusuke Tsukamoto; Yoshiharu Tsubakihara; Tadashi Tomo; Hideki Hirakata; Tadao Akizawa
Journal:  Ther Apher Dial       Date:  2013-06       Impact factor: 1.762

Review 4.  The relationship between laboratory-based outcome measures and mortality in end-stage renal disease: a systematic review.

Authors:  Amar A Desai; Allen Nissenson; Glenn M Chertow; Mary Farid; Inder Singh; Martijn G H Van Oijen; Eric Esrailian; Matthew D Solomon; Brennan M R Spiegel
Journal:  Hemodial Int       Date:  2009-07-03       Impact factor: 1.812

5.  The economic impact of improving phosphate binder therapy adherence and attainment of guideline phosphorus goals in hemodialysis patients: a Medicare cost-offset model.

Authors:  Karthik Ramakrishnan; Peter Braunhofer; Britt Newsome; Deborah Lubeck; Steven Wang; Jennifer Deuson; Ami J Claxton
Journal:  Adv Ther       Date:  2014-12-06       Impact factor: 3.845

6.  Unraveling the relationship between mortality, hyponatremia, inflammation and malnutrition in hemodialysis patients: results from the international MONDO initiative.

Authors:  M J E Dekker; D Marcelli; B Canaud; C J A M Konings; K M Leunissen; N W Levin; P Carioni; V Maheshwari; J G Raimann; F M van der Sande; L A Usvyat; P Kotanko; J P Kooman
Journal:  Eur J Clin Nutr       Date:  2016-04-20       Impact factor: 4.016

7.  Effects of high-flux hemodialysis on clinical outcomes: results of the HEMO study.

Authors:  Alfred K Cheung; Nathan W Levin; Tom Greene; Lawrence Agodoa; James Bailey; Gerald Beck; William Clark; Andrew S Levey; John K Leypoldt; Daniel B Ornt; Michael V Rocco; Gerald Schulman; Steve Schwab; Brendan Teehan; Garabed Eknoyan
Journal:  J Am Soc Nephrol       Date:  2003-12       Impact factor: 10.121

8.  Serum beta2-microglobulin level is a significant predictor of mortality in maintenance haemodialysis patients.

Authors:  Senji Okuno; Eiji Ishimura; Kaori Kohno; Yoko Fujino-Katoh; Yoshifumi Maeno; Tomoyuki Yamakawa; Masaaki Inaba; Yoshiki Nishizawa
Journal:  Nephrol Dial Transplant       Date:  2008-09-17       Impact factor: 5.992

Review 9.  Prevalence and incidence of chronic kidney disease stage G5 in Japan.

Authors:  Kunihiro Yamagata; Takashi Yagisawa; Shigeru Nakai; Masaaki Nakayama; Enyu Imai; Motoshi Hattori; Kunitoshi Iseki; Takashi Akiba
Journal:  Clin Exp Nephrol       Date:  2014-05-13       Impact factor: 2.801

Review 10.  Blood-borne biomarkers of mortality risk: systematic review of cohort studies.

Authors:  Evelyn Barron; Jose Lara; Martin White; John C Mathers
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

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  3 in total

1.  The association between body mass index and all-cause mortality in Japanese patients with incident hemodialysis.

Authors:  Koji Inagaki; Naoto Tawada; Masahiro Takanashi; Toshiyuki Akahori
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

2.  Illness Perceptions, Self-Care Management, and Clinical Outcomes According to Age-Group in Korean Hemodialysis Patients.

Authors:  Sisook Kim; Eunhye Kim; Eunjung Ryu
Journal:  Int J Environ Res Public Health       Date:  2019-11-13       Impact factor: 3.390

3.  Postoperative Complications and Survival Rate in Hemodialysis-Dependent Patients Undergoing Cervical Spine Surgery.

Authors:  Keiji Wada; Ryo Tamaki; Tomohisa Inoue; Kenji Hagiwara; Ken Okazaki
Journal:  Spine Surg Relat Res       Date:  2021-12-14
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