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White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study
OBJECTIVE: The purposes of current research were to investigate the time-dependent dynamic alteration of white cell count (WCC) in health management populations and to analyse its association with the type 2 diabetes mellitus (T2DM). DESIGN: Retrospective cohort research. SETTING: Shengjing Hospital...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490632/ https://www.ncbi.nlm.nih.gov/pubmed/36127085 http://dx.doi.org/10.1136/bmjopen-2021-057966 |
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author | Yang, Tengfei Zhao, Bo Guan, Xuelai Pei, Dongmei |
author_facet | Yang, Tengfei Zhao, Bo Guan, Xuelai Pei, Dongmei |
author_sort | Yang, Tengfei |
collection | PubMed |
description | OBJECTIVE: The purposes of current research were to investigate the time-dependent dynamic alteration of white cell count (WCC) in health management populations and to analyse its association with the type 2 diabetes mellitus (T2DM). DESIGN: Retrospective cohort research. SETTING: Shengjing Hospital of China Medical University in China’s Shenyang. PARTICIPANTS: The number of non-diabetic subjects (median age: 40 years) totaled 7924 in the present work. PRIMARY AND SECONDARY OUTCOME MEASURES: Assessment and grouping of changes in WCC between 2016 and 2019 were accomplished through group-based trajectory modelling. Newly diagnosed incidence associated with T2DM was estimated based on varying trajectories of WCC by the Kaplan-Meier method. Statistical differences in the incidences of new-onset T2DM among various WCC trajectory groups were examined through log-rank test. The influence of WCC trajectory alterations on the new-onset T2DM was evaluated with a multiparameter Cox (proportional-hazards) model. RESULTS: During a 3-year (2016–2019) period, the T2DM development was noted in 3.14% (249) of the subjects. The trajectory model of WCC change was divided into four groups. For participants with low stability (trajectory 1), medium stability (trajectory 2), medium stability (trajectory 3) and high stability (trajectory 4), the incidence of T2DM was separately 2.2%, 2.62%, 4.82% and 7.4%, respectively. After adjusting for the underlying confounders, new-onset T2DM HRs (95% CIs) for trajectories 3 and 4 were separately 1.94 (1.32 to 2.83) and 3.08 (1.82 to 5.21) compared with the trajectory 1, implying that the T2DM risks were statistically significantly high. CONCLUSION: The 3-year T2DM incidence was impacted independently by the WCC trajectory fluctuations. The grouping trajectory can reflect the dynamic change of WCC over time, which is more representative than the measured WCC at a single time point. |
format | Online Article Text |
id | pubmed-9490632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-94906322022-09-22 White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study Yang, Tengfei Zhao, Bo Guan, Xuelai Pei, Dongmei BMJ Open Diabetes and Endocrinology OBJECTIVE: The purposes of current research were to investigate the time-dependent dynamic alteration of white cell count (WCC) in health management populations and to analyse its association with the type 2 diabetes mellitus (T2DM). DESIGN: Retrospective cohort research. SETTING: Shengjing Hospital of China Medical University in China’s Shenyang. PARTICIPANTS: The number of non-diabetic subjects (median age: 40 years) totaled 7924 in the present work. PRIMARY AND SECONDARY OUTCOME MEASURES: Assessment and grouping of changes in WCC between 2016 and 2019 were accomplished through group-based trajectory modelling. Newly diagnosed incidence associated with T2DM was estimated based on varying trajectories of WCC by the Kaplan-Meier method. Statistical differences in the incidences of new-onset T2DM among various WCC trajectory groups were examined through log-rank test. The influence of WCC trajectory alterations on the new-onset T2DM was evaluated with a multiparameter Cox (proportional-hazards) model. RESULTS: During a 3-year (2016–2019) period, the T2DM development was noted in 3.14% (249) of the subjects. The trajectory model of WCC change was divided into four groups. For participants with low stability (trajectory 1), medium stability (trajectory 2), medium stability (trajectory 3) and high stability (trajectory 4), the incidence of T2DM was separately 2.2%, 2.62%, 4.82% and 7.4%, respectively. After adjusting for the underlying confounders, new-onset T2DM HRs (95% CIs) for trajectories 3 and 4 were separately 1.94 (1.32 to 2.83) and 3.08 (1.82 to 5.21) compared with the trajectory 1, implying that the T2DM risks were statistically significantly high. CONCLUSION: The 3-year T2DM incidence was impacted independently by the WCC trajectory fluctuations. The grouping trajectory can reflect the dynamic change of WCC over time, which is more representative than the measured WCC at a single time point. BMJ Publishing Group 2022-09-20 /pmc/articles/PMC9490632/ /pubmed/36127085 http://dx.doi.org/10.1136/bmjopen-2021-057966 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Diabetes and Endocrinology Yang, Tengfei Zhao, Bo Guan, Xuelai Pei, Dongmei White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
title | White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
title_full | White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
title_fullStr | White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
title_full_unstemmed | White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
title_short | White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
title_sort | white cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study |
topic | Diabetes and Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490632/ https://www.ncbi.nlm.nih.gov/pubmed/36127085 http://dx.doi.org/10.1136/bmjopen-2021-057966 |
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