Cargando…

The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians

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 nonagenarian...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Ming, Xie, Linlin, Liu, Xiu, Hao, Qiukui, Jiang, Jiaojiao, Dong, Birong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773485/
https://www.ncbi.nlm.nih.gov/pubmed/29348636
http://dx.doi.org/10.1038/s41598-018-19534-4
_version_ 1783293567512346624
author Yang, Ming
Xie, Linlin
Liu, Xiu
Hao, Qiukui
Jiang, Jiaojiao
Dong, Birong
author_facet Yang, Ming
Xie, Linlin
Liu, Xiu
Hao, Qiukui
Jiang, Jiaojiao
Dong, Birong
author_sort Yang, Ming
collection PubMed
description 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.
format Online
Article
Text
id pubmed-5773485
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-57734852018-01-26 The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians Yang, Ming Xie, Linlin Liu, Xiu Hao, Qiukui Jiang, Jiaojiao Dong, Birong Sci Rep Article 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. Nature Publishing Group UK 2018-01-18 /pmc/articles/PMC5773485/ /pubmed/29348636 http://dx.doi.org/10.1038/s41598-018-19534-4 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Ming
Xie, Linlin
Liu, Xiu
Hao, Qiukui
Jiang, Jiaojiao
Dong, Birong
The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
title The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
title_full The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
title_fullStr The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
title_full_unstemmed The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
title_short The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
title_sort gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5773485/
https://www.ncbi.nlm.nih.gov/pubmed/29348636
http://dx.doi.org/10.1038/s41598-018-19534-4
work_keys_str_mv AT yangming thegammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT xielinlin thegammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT liuxiu thegammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT haoqiukui thegammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT jiangjiaojiao thegammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT dongbirong thegammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT yangming gammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT xielinlin gammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT liuxiu gammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT haoqiukui gammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT jiangjiaojiao gammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians
AT dongbirong gammagappredicts4yearallcausemortalityamongnonagenariansandcentenarians