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Wang P, Li Y, Wang M, Song L, Dong Y, Han X, Tuomilehto J, Wang Y, Du Y, Qiu C. Comparing glycemic traits in defining diabetes among rural Chinese older adults. PLoS One 2024; 19:e0296694. [PMID: 38271374 PMCID: PMC10810428 DOI: 10.1371/journal.pone.0296694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND We sought to identify the optimal cut-off of glycated hemoglobin (HbA1c) for defining diabetes and to assess the agreements of fasting plasma glucose (FPG), fasting serum glucose (FSG), and HbA1c in defining diabetes among rural older adults in China. METHODS This population-based cross-sectional study included 3547 participants (age ≥61 years, 57.8% women) from the Multidomain Interventions to Delay Dementia and Disability in Rural China from 2018-2019; of these, 3122 had no previously diagnosed diabetes. We identified the optimal cut-off of HbA1c against FPG ≥7.0 mmol/L for defining diabetes by using receiver operating characteristic curve and Youden index. The agreements of FPG, FSG, and HbA1c in defining diabetes were assessed using kappa statistics. RESULTS Among participants without previously diagnosed diabetes (n = 3122), the optimal HbA1c cut-off for defining diabetes was 6.5% (48 mmol/mol), with the sensitivity of 88.9%, specificity of 93.7%, and Youden index of 0.825. The correlation coefficients were 0.845 between FPG and FSG, 0.574 between FPG and HbA1c, and 0.529 between FSG and HbA1c in the total sample (n = 3547). The kappa statistic for defining diabetes was 0.962 between FSG and FPG, and 0.812 between HbA1c and FPG. CONCLUSIONS The optimal cut-off of HbA1c for diagnosing diabetes against FPG >7.0 mmol/L is ≥6.5% in Chinese rural-dwelling older adults. The agreement in defining diabetes using FPG, FSG, and HbA1c is nearly perfect. These results have relevant implications for diabetes research and clinical practice among older adults in China. CLINICAL TRIAL REGISTRATION The protocol of MIND-China was registered in the Chinese Clinical Trial Registry (ChiCTR, www.chictr.org.cn; registration no.: ChiCTR1800017758).
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Affiliation(s)
- Pin Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Yuanjing Li
- Department of Neurobiology, Aging Research Center, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Mingqi Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Lin Song
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Yi Dong
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III. Madrid, Spain
- Qingdao Endocrinology and Diabetes Hospital, Qingdao, Shandong Province, P.R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital, Jinan, Shandong Province, P.R. China
- Department of Neurobiology, Aging Research Center, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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Li C, Xiao J, Wu S, Liu L, Zeng X, Zhao Q, Zhang Z. Clinical application of serum-based proteomics technology in human tumor research. Anal Biochem 2023; 663:115031. [PMID: 36580994 DOI: 10.1016/j.ab.2022.115031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
The rapid development of proteomics technology in the past decades has led to further human understanding of tumor research, and in some ways, the technology plays a very important supporting role in the early detection of tumors. Human serum has been shown to contain a variety of proteins closely related to life activities, and the dynamic change in proteins can often reflect the physiological and pathological conditions of the body. Serum has the advantage of easy extraction, so the application of proteomics technology in serum has become a hot spot and frontier area for the study of malignant tumors. However, there are still many difficulties in the standardized use of proteomic technologies, which inevitably limit the clinical application of proteomic technologies due to the heterogeneity of human proteins leading to incomplete whole proteome populations, in addition to most serum protein markers being now not highly specific in aiding the early detection of tumors. Nevertheless, further development of proteomics technologies will greatly increase our understanding of tumor biology and help discover more new tumor biomarkers with specificity that will enable medical technology.
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Affiliation(s)
- Chen Li
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Juan Xiao
- Department of Otorhinolaryngology, The Second Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Shihua Wu
- Department of Pathology, The Second Hospital of Shaoyang College, Hunan, Shaoyang, 422000, Hunan Province, China
| | - Lu Liu
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Xuemei Zeng
- Cancer Research Institute of Hengyang Medical College, University of South China, Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang, 421001, China
| | - Qiang Zhao
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China.
| | - Zhiwei Zhang
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China; Cancer Research Institute of Hengyang Medical College, University of South China, Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang, 421001, China.
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Plebani M, Banfi G, Bernardini S, Bondanini F, Conti L, Dorizzi R, Ferrara FE, Mancini R, Trenti T. Serum or plasma? An old question looking for new answers. Clin Chem Lab Med 2021; 58:178-187. [PMID: 31525152 DOI: 10.1515/cclm-2019-0719] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 08/22/2019] [Indexed: 12/17/2022]
Abstract
Serum or plasma? An old question looking for new answers. There is a continual debate on what type of sample a clinical laboratory should use. While serum is still considered the gold standard and remains the required sample for some assays, laboratories must consider turn-around time, which is an important metric for laboratory performance and, more importantly, plays a critical role in patient care. In addition, a body of evidence emphasise the choice of plasma in order to prevent modifications of some analytes due to the coagulation process and related interferences. Advantages and disadvantages of serum and plasma are discussed on the basis of current literature and evidence. In addition, data are provided on the current utilisation of the samples (serum or plasma) in Italy and in other countries. Finally, a rationale for a possible switch from serum to plasma is provided.
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Affiliation(s)
- Mario Plebani
- Dipartimento Strutturale Medicina di Laboratorio, Azienda Ospedale Università di Padova, Padova, Italy
| | - Giuseppe Banfi
- Direttore Scientifico, IRCCS Istituto Ortopedico Galeazzi, Università Vita e Salute San Raffaele, Milan, Italy
| | - Sergio Bernardini
- Dipartimento di Medicina Sperimentale, Università degli Studi di Tor Vergata, Rome, Italy
| | - Francesco Bondanini
- Unità Operativa Complessa Patologia Clinica Presidio, Ospedaliero Sant'Eugenio/CTO ASL Roma 2, Rome, Italy
| | - Laura Conti
- Patologia Clinica, IRCCS Istituto Nazionale Tumori Regina Elena Roma, Rome, Italy
| | - Romolo Dorizzi
- Unità Operativa Patologia Clinica, AUSL della Romagna, Cesena, Italy
| | - Fulvio Enrico Ferrara
- Direttore Servizio Integrato di Medicina di Laboratorio e Anatomia Patologica, Centro Diagnostico Italiano Spa, Milan, Italy
| | - Rita Mancini
- Laboratorio Unico Metropolitano, AUSL Bologna, Bologna, Italy
| | - Tommaso Trenti
- Dipartimento di Medicina di Laboratorio e Anatomia Patologica Azienda Ospedaliera Universitaria e USL di Modena, Modena, Italy
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