ArticleScientific reports2018
The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- CMV IgG and EBV Cell-Associated DNA Independently Associate With Veterans Aging Cohort Study Index 2.0 Scores in People With HIV on ART.The Journal of infectious diseases · 2026Article
- A synergistic impact of body mass index and gamma gap on heart failure and mortality rate among older patients with coronary artery disease: a prospective study with 10-year follow-up.Nutrition & diabetes · 2023Article
- Association of serum globulin with all-cause mortality in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022Article
- Characterizing COVID-19 clinical phenotypes and associated comorbidities and complication profiles.PloS one · 2021Article
- Article
- The Gamma Gap Predicts All-Cause Mortality in Chronic Dialysis Patients.Indian journal of nephrologyArticle
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies have revealed the prognostic role of the gamma gap, the total serum proteins concentration minus the albumin concentration, for predicting all-cause mortality among adults. This study aims to investigate the relationship between the gamma gap and all-cause mortality among nonagenarians and centenarians via a secondary data analysis of a prospective observational study. The analysis included 801 participants (260 men and 541 women, mean age: 93.7 ± 3.5 years), 46 of which were lost at the 4-year follow-up. The mean gamma gap was 2.7 ± 0.5 g/dl. After adjusting for relevant confounders, the gamma gap was significantly associated with 4-year all-cause mortality (hazard ratio [HR] per 1-SD = 1.22, 95% confidential interval [CI]: 1.12-1.78). Using different cut-off points, the elevated gamma gap could be defined as ≥2.9, 3.0, 3.1, or 3.2 g/dl. The relevant HRs and 95% CIs of the elevated gamma gap for predicting mortality were 1.27 (1.12-1.90), 1.29 (1.03-1.78), 1.21 (1.23-1.66), and 1.26 (1.09-1.69), respectively. In conclusion, the gamma gap is an independent prognostic factor for long-term mortality in nonagenarians and centenarians. A value greater than or equal to 3.1 g/dl may define an elevated gamma gap, but further studies are required.
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