JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2009, Vol. 47 ›› Issue (12): 13-16.

• Articles • Previous Articles     Next Articles

Clinical research of noninvasive cardiac hemodynamics in middleaged and oldaged patients with type 2 diabetes mellitus

YU Fei 1 , LI Baoying 1 , SHI Shanshan 1 , WANG Qian 1 , ZHANG Zhimian 2 , GAO Haiqing 1   

  1. 1. Department of Gerontology; 2. Department of Health Examination Center,
    Qilu Hospital of Shandong University, Jinan 250012, China
  • Received:2009-08-31 Online:2009-12-16 Published:2009-12-16

Abstract:

To explore the characteristics of cardiac hemodynamics in middleaged and oldaged patients with type 2 diabetes mellitus and the sensitive indicators to determine the early heart diseases by the Lifegard ICG Hemodynamic Monitor. Methods218 individuals were divided into three groups: healthy controls(n=130), patients with prediabetes(n=23), and patients with type 2 diabetes mellitus(n=65). Body mass index (BMI), waisthip ratio (WHR), fasting blood glucose (FPG), triglycerides (TG), total cholesterol (TC), systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP) and mean arterial pressure (MAP) were measured in all subjects. Cardiac output (CO), cardiac index (CI), systemic vascular resistance (SVR), systemic vascular resistance index (SVRI), stroke volume (SV), stroke index (SI), thoracic fluid content (TFC), acceleration index (ACI), left cardiac works index (LCWI), preejection period (PEP), left ventricular ejection time (LVET), velocity index (VI), contraction time ratio (STR) and heart rate (HR) were measured using the Lifegard ICG Hemodynamic Monitor. Results① There were significant differences in WHR, FPG, TC, SBP, DBP, PP, ACI, VI, PEP and STR in patients with type 2 diabetes mellitus compared with the healthy controls(P<0.05 or P<0.01). ② There were  significant differences in FPG, ACI and VI in patients with prediabetes(P<0.05 or P<0.01)compared with the healthy controls. ③ Correlation analysis showed that ACI was negatively related with BMI, WHR, FPG, SBP, DBP, MAP and HR (P<0.01), PEP positively with BMI (P<0.01), VI negatively with BMI, WHR, FPG, SBP, DBP, MAP and HR (P<0.01), and STR positively with BMI and WHR(P<0.05 or P<0.01). ConclusionCardiac hemodynamics impairment exit in patients with diabetes mellitus or prediabetes in various degrees. BMI is a common risk factor to induce the changes of the above indicators. ACI and VI are noninvasive and sensitive indicators in evaluating abnormalities of cardiac hemodynamics in diabetes mellitus.

Key words: Diabetes, Noninvasive cardiac hemodynamics, Body mass index

CLC Number: 

  • R541.8
[1] ZHANG Chunhui, WANG Chaoyi, YANG Jinghan, ZHANG Wenxia, KONG Yujia, SHI Fuyan, WANG Suzhen. Association between body mass index and hyperuricemia based on propensity score matching method [J]. Journal of Shandong University (Health Sciences), 2026, 64(4): 100-108.
[2] MENG Xiaomei, HAO Yaping, WANG Liang, YU Xiao, TANG Yuxiao. Correlation between the levels of serum Isthmin1, Gremlin2 and retinopathy in type 2 diabetic patients [J]. Journal of Shandong University (Health Sciences), 2025, 63(9): 102-107.
[3] WANG Mengxing, XUE Fuzhong, YANG Fan. Blood glucose concentration prediction method for type 1 diabetes mellitus based on multi-modal cross-attention mechanism fusion [J]. Journal of Shandong University (Health Sciences), 2025, 63(8): 41-50.
[4] SHEN Lujia, LU Tianwei, GONG Weiming, ZHAO Yansong, WANG Shukang, YUAN Zhongshang. Application of metabolomic risk score in predicting cardiovascular outcomes in patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2025, 63(8): 69-78.
[5] CHEN Yingying, WANG Lu, HU Xifeng, ZHU Gaopei, XUE Fuzhong. A Bayesian network-based risk prediction study of stroke in patients with type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2025, 63(8): 94-102.
[6] LIU Kailin, GUO Ying, WANG Zhihao, GENG Chong, WANG Nana. Influence of physiological indicators on parathyroid gland function [J]. Journal of Shandong University (Health Sciences), 2025, 63(6): 100-106.
[7] CHEN Xujun, HE Guowei. Focus on further more use of arterial grafts in coronary artery bypass grafting in patients with coronary heart disease in China [J]. Journal of Shandong University (Health Sciences), 2025, 63(5): 1-5.
[8] LU Shengxun, XING Yachuang, LUO Junhui, LIU Jie, HE Houle, WANG Zhiqiang, ZHANG Na. Diabetic patients arterial grafts in coronary artery bypass grafting: current research status [J]. Journal of Shandong University (Health Sciences), 2025, 63(5): 33-39.
[9] LIU Wen, FENG Wenjuan, YANG Yang, JI Changli, CHAO Lan. Impact of BMI on cumulative birth rate in patients with normal ovarian response [J]. Journal of Shandong University (Health Sciences), 2024, 62(3): 54-60.
[10] LIN Xiaoqian, FENG Maoyan, MOU Zheng. Pharmaceutical characteristics and clinical utility of dipeptidyl peptidase-4 inhibitors [J]. Journal of Shandong University (Health Sciences), 2024, 62(12): 43-48.
[11] YU Danfeng, CAO Juan, YU Shijia, DU Lutao, HOU Xinguo. Diagnostic capacity of electrochemiluminescence immunoassay compared with liquid chromatography-tandem mass spectrometry for vitamin D deficiency in diabetic patients [J]. Journal of Shandong University (Health Sciences), 2023, 61(7): 90-95.
[12] LI Jinquan, GAO Meifang, YAN Fei, DONG Ming. Frequency and risk factors of muscle cramp in 136 cases of type 2 diabetes mellitus [J]. Journal of Shandong University (Health Sciences), 2023, 61(5): 20-24.
[13] ZHANG Tianxin, ZHANG Ting, HUANG Xin, HAN Jiayi, WANG Shukang. A mendelian randomization analysis on the causal associations between amino acids and type 2 diabetes [J]. Journal of Shandong University (Health Sciences), 2023, 61(5): 102-107.
[14] HAN Mei, MENG Weijing, TAO Zikun, YANG Xi, XU Yaqi, MU Huaxia, BU Weixiao, WANG Suzhen, SHI Fuyan. Causal mediation analysis with multiple-mediator of hypertension and depression between type 2 diabetes mellitus and cognitive function based on G-computation [J]. Journal of Shandong University (Health Sciences), 2023, 61(10): 101-108.
[15] LI Tao, YANG Chunlin, DU Tong, LI Heng, WANG Congcong, LI Xiaoli, DUAN Ruisheng,ZHANG Peng. Effects of diabetes mellitus on the subsets and function of NK cells in myasthenia gravis [J]. Journal of Shandong University (Health Sciences), 2022, 60(5): 31-36.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!