AI Article Synopsis

  • Anemia significantly increases mortality risk in chronic kidney disease patients, especially those undergoing hemodialysis.
  • A 5-year study in western Seoul, involving 362 hemodialysis patients, assessed the relationship between hemoglobin levels and mortality, categorizing Hb levels into six groups for analysis.
  • The findings indicated that Hb levels between 10-11 g/dL corresponded to the lowest mortality risk, suggesting further research is needed to establish the best Hb target for this patient population.

Article Abstract

Background: Anemia is a major risk factor that contributes to mortality in patients with chronic kidney disease. There is controversy over the optimal hemoglobin (Hb) target in these patients. This study investigated the association between Hb level and mortality in a cohort of hemodialysis (HD) patients in Korea.

Methods: This study was a multicenter prospective observational study of maintenance HD patients that was performed for 5 years in western Seoul, Korea. Three hundred and sixty-two participants were enrolled. Laboratory values and mortality were accessed every 6 months. Repeated measures of laboratory values in each interval were averaged to obtain one semiannual mean value. The Hb values were divided into six groups: (1) Hb<9 g/dL; (2) 9 g/dL≤Hb<10 g/dL; (3) 10 g/dL≤Hb<11 g/dL; (4) 11 g/dL≤Hb<12 g/dL; (5) 12 g/dL≤Hb<13 g/dL; and (6) Hb≥13 g/dL. We analyzed the odds ratio for all-cause mortality, based on the Hb group, and adjusted for demographics and various laboratory values. Statistics were performed with SAS, version 9.1 software (SAS Institute Inc., Cary, NC, USA).

Results: Mortality odds ratios relative to the reference group (10-11 g/dL) in the fully adjusted model were 3.61 for<9 g/dL; 3.17 for 9-10 g/dL(⁎); 4.65 for 11-12 g/dL(⁎); 5.50 for 12-13 g/dL(⁎); and 2.05 for≥13 g/dL ((⁎) indicates P<0.05).

Conclusion: In this study, a Hb level of 10-11 g/dL was associated with the lowest mortality among the groups with Hb level<13 g/dL. Larger interventional trials are warranted to determine the optimal Hb target for Korean HD patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4570631PMC
http://dx.doi.org/10.1016/j.krcp.2014.11.003DOI Listing

Publication Analysis

Top Keywords

optimal hemoglobin
8
cohort hemodialysis
8
hemodialysis patients
8
laboratory values
8
patients
5
hemoglobin level
4
level anemia
4
anemia treatment
4
treatment cohort
4
patients background
4

Similar Publications

Musculoskeletal complications in sickle cell disease: Pathophysiology, diagnosis and management.

Best Pract Res Clin Rheumatol

January 2025

ICMR-National Institute of Research in Tribal Health, Jabalpur, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; Model Rural Health Research Unit, Jheet, Durg, India. Electronic address:

Sickle cell disease (SCD) is a mono-genic disorder causing chronic hemolysis, anemia, and vaso-occlusion, leading to musculoskeletal complications such as osteonecrosis, osteoporosis, and bone fractures affecting 50-70% SCD patients. These complications result from a complex interplay of genetic and physiological factors, including abnormal hemoglobin production, chronic inflammation, and oxidative stress. This review discusses the pathophysiology, pre-clinical symptoms, and clinical manifestations of musculoskeletal complications in SCD, as well as current treatment options, including pharmacological interventions, surgical procedures, and bone marrow transplantation.

View Article and Find Full Text PDF

Unraveling the complexity: Case reports of drug-induced hemolytic anemia due to ceftriaxone.

Asian J Transfus Sci

August 2024

Department of Immunohematology and Transfusion Medicine, Santokba Durlabhji Memorial Hospital, Jaipur, Rajasthan, India.

Drug-induced hemolytic anemia (DIHA) is a rare but significant condition characterized by the premature destruction of red blood cells (RBCs) triggered by certain medications. Ceftriaxone, a commonly used antibiotic, has been linked to DIHA, presenting diagnostic challenges due to its diverse clinical manifestations. This study examines three cases of DIHA caused by ceftriaxone therapy at our center.

View Article and Find Full Text PDF

Objective: To develop predictive models for assessing deep vein thrombosis (DVT) risk among lumbar disc herniation (LDH) patients and evaluate their performances.

Methods: A retrospective study was conducted on 798 LDH patients treated at the First Hospital of Hebei Medical University from January 2017 to December 2023. The patients were divided into a training set (n = 558) and a test set (n = 240) using computer-generated random numbers in a ratio of 7:3.

View Article and Find Full Text PDF

ChatGPT-Assisted Machine Learning for Chronic Disease Classification and Prediction: A Developmental and Validation Study.

Cureus

December 2024

Department of Medicine, Medical Teaching Institution (MTI) Hayatabad Medical Complex, Peshawar, PAK.

Background Chronic diseases such as chronic kidney disease (CKD), chronic liver disease (CLD), tuberculosis (TB), dementia, and heart disease are global health concerns of significant importance, representing major causes of morbidity and mortality worldwide. Early diagnosis and interventions are critical to improve patient outcomes and reduce healthcare costs. Methods This prospective observational study analyzed clinical data from 270 patients (calculated using G*Power 3.

View Article and Find Full Text PDF

Fanconi anemia (FA) is a rare inherited disorder characterized by progressive bone marrow failure (BMF) and a predisposition to malignancy. Systemic reactive-oxygen species (ROS) and increased sensitivity of FA hematopoietic progenitors to ROS play a key role in the pathogenesis of BMF. Treatment with antioxidants improve hematopoietic function in Fancc-/- mice.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!