Cited by 15Dialysis and Renal Disease ManagementChronic Kidney Disease and DiabetesParathyroid Disorders and Treatments

Predictors of Survival in Chronic Hemodialysis Patients: A 10-Year Longitudinal Follow-Up Analysis

Moromizato, Takuhiro, Kohagura, Kentaro, Tokuyama, Kiyoyuki, Shiohira, Yoshiki, Toma, Shigeki, Uehara, Hajime, Arima, Hisatomi, Ueda, Shinichiro +1 more·2021·American Journal of Nephrology

Abstract

Background: Risk factors of mortality in chronic hemodialysis patients have not yet been sufficiently evaluated. In particular, chronological transits and interactions of the impact of risk factors have rarely been described. Methods: This study is a post hoc analysis of the participants in the Olme­sartan Clinical Trial in Okinawan Patients under OKIDS (OCTOPUS) study conducted between June 2006 and June 2011. We additionally followed up on the prognosis of the participants until July 31, 2018. Standardized univariable and multivariable Cox regression analyses were used to evaluate the influences of the participants’ baseline characteristics on all-cause mortality. We also evaluated chronological changes in the impacts of risk factors, interactions among predictors, and the influence of missing values using sensitivity analyses. Results: Of the 469 original trial participants, 461 participants were evaluated. The median time of follow-up was 10.2 years. A total of 211 (45.8%) participants were deceased. The leading causes of death were infection (n = 72, 34.1%) and cardiovascular disease (n = 66, 31.3%). Univariate and multivariate Cox regression analyses revealed that the impact of diabetes mellitus, history of coronary intervention, and hypoalbuminemia were significant risk factors for mortality during the whole follow-up period. During the early follow-up period (≤3 years), standardized univariate Cox regression analyses revealed that history of amputation (hazard ratio [HR] = 4.61, p < 0.001), lower dry weight, higher cardiothoracic ratio, and lower potassium levels were statistically significant risks. In those who survived for longer than 3 years, a history of stroke (HR = 1.73, p = 0.006), higher systolic blood pressure, lower serum sodium levels, and higher levels of hemoglobin, and serum phosphate were significant risks. We also observed a stable interaction between the impacts of serum phosphate and albumin on all-cause mortality. Conclusion: In chronic hemodialysis patients, targets to improve the short-term prognosis and long-term prognosis are not equivalent. Hyperphosphatemia was a significant risk factor for the all-cause mortality among patients with normal serum albumin levels but not among patients with compromised albumin levels.

Integrity signals

Registry

Crossref · 10.1159/000513951

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Moromizato, T., Kohagura, K., Tokuyama, K., Shiohira, Y., Toma, S., Uehara, H., Arima, H., Ueda, S., & Iseki, K.
Affiliations
  • University of the Ryukyus (JP)
  • Tomishiro Central Hospital (JP)
  • Okinawa Prefectural Chubu Hospital (JP)
  • Fukuoka University (JP)
Venue
American Journal of Nephrology
Publisher
S. Karger AG
Published
2021
Volume
52
Issue
2
Pages
108-118
ISSN
  • 0250-8095 (ISSN-L)
  • 1421-9670
OpenAlex
W3136049614
Cited by
15
References
0
Citations by year
2026: 1 · 2025: 5 · 2023: 3 · 2022: 6
FWCI
1.54
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Nephrology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Nephrology › Parathyroid Disorders and Treatments
Keywords
maintenance hemodialysis, all-cause mortality, mortality risk factors, hyperphosphatemia, serum albumin, hypoalbuminemia, diabetes mellitus, coronary intervention, amputation, stroke, cardiovascular disease, infection, serum phosphorus, hemoglobin, serum sodium, potassium, systolic blood pressure, dry weight, cardiothoracic ratio, long-term prognosis, end-stage renal disease
MeSH terms
Adult, Aged, Cardiovascular Diseases, Cause of Death, Female, Follow-Up Studies, Renal Dialysis, Humans, Hypertension, Infections, Longitudinal Studies, Male, Middle Aged, Phosphates, Prognosis, Risk Factors, Serum Albumin, Survival Rate, Proportional Hazards Models, Randomized Controlled Trials as Topic, Renal Insufficiency, Kaplan-Meier Estimate, Hyperphosphatemia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review