Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis
IntroductionThis study aimed to explore the novel classification of inpatients with new-onset diabetes in Eastern China by the cluster-based classification method and compare the clinical characteristics among the different subgroups.MethodsA total of 1017 Inpatients with new-onset diabetes of five...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.927661/full |
| _version_ | 1818012931568173056 |
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| author | Xueke Song Xueke Song Yingqi Lv Yingqi Lv Nan Huang Nan Huang Jinfang Sun Ting Yang Ting Yang Xiaoyuan Wang Xiaoyuan Wang Jianan Zhang Jianan Zhang Ziwei Zhou Ziwei Zhou Huihua Gao Jie Li Wei Zhang Han Yin Han Yin Qiong Wei Qiong Wei Kun Wang Ling Li Ling Li |
| author_facet | Xueke Song Xueke Song Yingqi Lv Yingqi Lv Nan Huang Nan Huang Jinfang Sun Ting Yang Ting Yang Xiaoyuan Wang Xiaoyuan Wang Jianan Zhang Jianan Zhang Ziwei Zhou Ziwei Zhou Huihua Gao Jie Li Wei Zhang Han Yin Han Yin Qiong Wei Qiong Wei Kun Wang Ling Li Ling Li |
| author_sort | Xueke Song |
| collection | DOAJ |
| description | IntroductionThis study aimed to explore the novel classification of inpatients with new-onset diabetes in Eastern China by the cluster-based classification method and compare the clinical characteristics among the different subgroups.MethodsA total of 1017 Inpatients with new-onset diabetes of five hospitals in Eastern China were included in the study. Clustering analysis was used to cluster the data into five subgroups according to six basic variables. The differences in clinical characteristics, treatments, and the prevalence of diabetes-related diseases among the five subgroups were analyzed by multiple groups comparisons and pairwise comparisons. The risk of diabetes-related diseases in the five subgroups was compared by calculating odd ratio (OR). P value < 0.05 was considered significant.ResultsFive subgroups were obtained by clustering analysis with the highest proportion of patients with severe insulin-deficient diabetes (SIDD) 451 (44.35%), followed by patients with mild age-related diabetes (MARD) 236 (23.21%), patients with mild obesity-related diabetes (MOD) 207 (20.35%), patients with severe insulin-resistant diabetes (SIRD) 81 (7.96%), and patients with severe autoimmune diabetes (SAID) 42 (4.13%). Five subtypes had their own unique characteristics and treatments. The prevalence and risk of diabetes-related complications and comorbidities were also significantly different among the five subtypes. Diabetic kidney disease (DKD) was the most common in SIRD group. Patients in SIDD, SIRD, and MARD groups were more likely to develop cardiovascular disease (CVD) and/or stroke, diabetic peripheral vascular disease (DPVD), and diabetic distal symmetric polyneuropathy (DSPN). The prevalence and risk of metabolic syndrome (MS) were the highest in MOD and SIRD groups. Patients in SAID group had the highest prevalence and risk of diabetic ketoacidosis (DKA). Patients with MOD were more likely to develop non-alcoholic fatty liver disease (NAFLD).ConclusionsThe inpatients with new-onset diabetes in Eastern China had the unique clustering distribution. The clinical characteristics, treatments, and diabetes-related complications and comorbidities of the five subgroups were different, which may provide the basis for precise treatments of diabetes. |
| first_indexed | 2024-04-14T06:27:06Z |
| format | Article |
| id | doaj.art-74440cc5241b41c6894563c81f5f8a1b |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-04-14T06:27:06Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-74440cc5241b41c6894563c81f5f8a1b2022-12-22T02:07:46ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-07-011310.3389/fendo.2022.927661927661Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering AnalysisXueke Song0Xueke Song1Yingqi Lv2Yingqi Lv3Nan Huang4Nan Huang5Jinfang Sun6Ting Yang7Ting Yang8Xiaoyuan Wang9Xiaoyuan Wang10Jianan Zhang11Jianan Zhang12Ziwei Zhou13Ziwei Zhou14Huihua Gao15Jie Li16Wei Zhang17Han Yin18Han Yin19Qiong Wei20Qiong Wei21Kun Wang22Ling Li23Ling Li24Department of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaMoE Key Laboratory of Environmental Medicine Engineering, School of Public Health, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Internal Medicine, Xigang Community Health Service Center, Nanjing, ChinaDepartment of Endocrinology, Nanjing Central Hospital, Nanjing, ChinaDepartment of Endocrinology, Second People’s Hospital of Wuhu, Wuhu, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaDepartment of Endocrinology, Nanjing Jiangning Hospital, Nanjing, ChinaDepartment of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, ChinaInstitute of Glucose and Lipid Metabolism, Southeast University, Nanjing, ChinaIntroductionThis study aimed to explore the novel classification of inpatients with new-onset diabetes in Eastern China by the cluster-based classification method and compare the clinical characteristics among the different subgroups.MethodsA total of 1017 Inpatients with new-onset diabetes of five hospitals in Eastern China were included in the study. Clustering analysis was used to cluster the data into five subgroups according to six basic variables. The differences in clinical characteristics, treatments, and the prevalence of diabetes-related diseases among the five subgroups were analyzed by multiple groups comparisons and pairwise comparisons. The risk of diabetes-related diseases in the five subgroups was compared by calculating odd ratio (OR). P value < 0.05 was considered significant.ResultsFive subgroups were obtained by clustering analysis with the highest proportion of patients with severe insulin-deficient diabetes (SIDD) 451 (44.35%), followed by patients with mild age-related diabetes (MARD) 236 (23.21%), patients with mild obesity-related diabetes (MOD) 207 (20.35%), patients with severe insulin-resistant diabetes (SIRD) 81 (7.96%), and patients with severe autoimmune diabetes (SAID) 42 (4.13%). Five subtypes had their own unique characteristics and treatments. The prevalence and risk of diabetes-related complications and comorbidities were also significantly different among the five subtypes. Diabetic kidney disease (DKD) was the most common in SIRD group. Patients in SIDD, SIRD, and MARD groups were more likely to develop cardiovascular disease (CVD) and/or stroke, diabetic peripheral vascular disease (DPVD), and diabetic distal symmetric polyneuropathy (DSPN). The prevalence and risk of metabolic syndrome (MS) were the highest in MOD and SIRD groups. Patients in SAID group had the highest prevalence and risk of diabetic ketoacidosis (DKA). Patients with MOD were more likely to develop non-alcoholic fatty liver disease (NAFLD).ConclusionsThe inpatients with new-onset diabetes in Eastern China had the unique clustering distribution. The clinical characteristics, treatments, and diabetes-related complications and comorbidities of the five subgroups were different, which may provide the basis for precise treatments of diabetes.https://www.frontiersin.org/articles/10.3389/fendo.2022.927661/fullclustering analysisdiabetesprecise treatmentsEastern Chinainpatients |
| spellingShingle | Xueke Song Xueke Song Yingqi Lv Yingqi Lv Nan Huang Nan Huang Jinfang Sun Ting Yang Ting Yang Xiaoyuan Wang Xiaoyuan Wang Jianan Zhang Jianan Zhang Ziwei Zhou Ziwei Zhou Huihua Gao Jie Li Wei Zhang Han Yin Han Yin Qiong Wei Qiong Wei Kun Wang Ling Li Ling Li Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis Frontiers in Endocrinology clustering analysis diabetes precise treatments Eastern China inpatients |
| title | Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis |
| title_full | Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis |
| title_fullStr | Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis |
| title_full_unstemmed | Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis |
| title_short | Clinical Characteristics of Inpatients With New-Onset Diabetes Mellitus in Eastern China: Based on Novel Clustering Analysis |
| title_sort | clinical characteristics of inpatients with new onset diabetes mellitus in eastern china based on novel clustering analysis |
| topic | clustering analysis diabetes precise treatments Eastern China inpatients |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2022.927661/full |
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