Evidence map›Paper›PMID 40281494›Full record

ArticleBMC endocrine disorders2025

A new perspective of blood routine test for the prediction and diagnosis of hyperglycemia.

Wei Wang, Yanjun Zhu, Guangchao Zhao, Xiaojun Kong, Cai Chen, Binbin Chen

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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Wei WangDepartment of Laboratory, Suzhou Xiangcheng Centers for Disease Control and Prevention, Suzhou, China.
Yanjun ZhuYan 'an Street Community Health Service, Centers of Longzihu District, Bengbu, China.
Guangchao ZhaoDepartment of Blood Transfusion Medicine, School of Medicine, Jinling Hospital, Nanjing University, Nanjing, China.
Xiaojun KongDepartment of Blood Transfusion, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, China.
Cai ChenDepartment of Blood Transfusion Medicine, School of Medicine, Jinling Hospital, Nanjing University, Nanjing, China. chencai_sxk@163.com.
Binbin ChenDepartment of Laboratory, School of Medicine, Jinling Hospital, Nanjing University, Nanjing, China. 13814086941@163.com.

Funding

Research and Development Fund of Kangda College of Nanjing Medical University KD2023KYJJ254The 2024 Suzhou application basic (healthcare) youth program SYW2024166The Suzhou Science and education revitalize health Project KJXW2023085
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe presence of hyperglycemia induces alterations in the blood cell microenvironment. However, further investigations are warranted to comprehend the regulation of physiological parameter changes within the hyperglycemic cohort and validate their correlation. This study aims to investigate the correlation between hyperglycemia and peripheral blood physiological parameters, providing valuable insights for the screening and treatment of hyperglycemia.

methodsA retrospective study was conducted to analyze the demographic characteristics and blood routine test (blood RT) results of both the normal population and individuals with hyperglycemia. The distribution of abnormal blood RT results was compared between the hyperglycemic groups and the normal group. Univariate and multivariate logistic regression analyses were employed to investigate the correlation between blood RT results and levels of hyperglycemia. In addition, the stored red blood cells (RBCs) were placed in high glucose concentration and low glucose concentration environment, and the changes of physiological parameters of RBCs were observed after 35 days of storage.

resultsThe study included a total of 413 participants, with 202 individuals representing the normal population. Among these, there were 95 males (47.03%) and 107 females (52.97%). The hyperglycemia group consisted of individuals with impaired glucose tolerance (IGT) and diabetes mellitus (DM). Out of the total sample, 61 participants with IGT, consisting of 45 males (73.77%) and 16 females (26.23%). Additionally, there were 150 participants with DM, including 107 males (71.33%) and 43 females (28.67%). The prevalence of hyperglycemia showed a significant increase among males aged over 45 years (p < 0.05). The levels of white blood cell count (WBC), red blood cell count (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin concentration (MCHC) in the hyperglycemia group were significantly higher than those in the normal group (p < 0.05). The distribution of abnormal blood RT results revealed that the DM group had the highest proportion of abnormal WBC, while the IGT group exhibited the highest proportions of abnormal RBC, HGB, and HCT (p < 0.05). Univariate logistic regression analysis showed that WBC (odds ratio [OR], 1.422; 95% CI, 1.249-1.631), RBC (OR, 2.163; 95% CI, 1.449-3.270), HGB (OR, 1.033; 95% CI, 1.020-1.047), HCT (OR, 4.549; 95% CI, 0.569-8.591), MCH (OR, 1.175; 95% CI, 1.057-1.319), MCHC (OR, 1.071; 95% CI, 1.047-1.098) were the predictor indices for hyperglycemia (p < 0.05). Multivariate logistic regression analysis showed that WBC (OR, 1.434; 95% CI, 1.193-1.742) and MCHC (OR, 4.448; 95% CI, 0.084-237.9) were predictor indices for hyperglycemia (p < 0.05). The results of in vitro experiments demonstrated that the high glucose concentration significantly decreased MCV, while concurrently increasing MCHC and coefficient variation of the distribution width of the red blood cell (RDW-CV) (p < 0.05).

conclusionThe present study revealed significant correlations between hyperglycemia and gender, age, as well as certain peripheral blood physiological parameters. Moreover, in vitro experiments provided further support for these associations. Consequently, peripheral blood physiological parameters can serve as valuable predictor indices for DM and IGT prevention, offering essential insights to enhance preventive strategies.

Indexed as

BiomarkersDiagnostic Tests, RoutineHematologic TestsHyperglycemiaAdultAgedBlood GlucoseDiabetes MellitusFemaleFollow-Up StudiesGlucose IntoleranceHumansMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersBlood GlucoseBlood routine testDiabetes mellitusImpaired glucose toleranceRed blood cells

Identifiers

PMID40281494
PMCPMC12023680

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.