Correlations between type 2 diabetes patients with left ventricular hypertrophy and levels of inflammatory markers

CAO Huifang; ZHANG Dongming; CUI Tingting; ZHANG Danyang

doi:10.7619/jcmp.20212239

Journal of Clinical Medicine in Practice > 2021 > 25(19): 53-56, 61. > DOI: 10.7619/jcmp.20212239

CAO Huifang, ZHANG Dongming, CUI Tingting, ZHANG Danyang. Correlations between type 2 diabetes patients with left ventricular hypertrophy and levels of inflammatory markers[J]. Journal of Clinical Medicine in Practice, 2021, 25(19): 53-56, 61. DOI: 10.7619/jcmp.20212239

Citation:

PDF (731 KB)

Correlations between type 2 diabetes patients with left ventricular hypertrophy and levels of inflammatory markers

Department of Endocrinology, the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450014

More Information

Received Date: May 28, 2021
Available Online: October 27, 2021
Published Date: October 14, 2021

Graphical Abstract

Abstract

Abstract

Objective To investigate the correlations between type 2 diabetes (T2DM) patients with left ventricular hypertrophy (LVH) and neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV).
Methods A total of 216 patients with T2DM were enrolled in the study. According to left ventricular mass index(LVMI), these patients were divided into LVH group(n=103) and non-LVH group(n=113). The general clinical data, blood routine indicators, and biochemical indicators of the two groups were compared.
Results The levels of triglycerides (TG), NLR, PLR, MPV and 24h urine protein, albumin-to-creatinine ratio(UACR) in the LVH group were higher than those in the non-LVH group, high-density lipoprotein cholesterol (HDL-C) and left ventricular ejection fraction(LVEF) levels were lower than that of the non-LVH group (P < 0.05). T2DM combined with LVH was positively correlated with TG, NLR, PLR, MPV and 24 h urine protein and UACR index levels (r_s=0.192, 0.490, 0.442, 0.313, 0.205, 0.167, P < 0.05), and was negatively correlated with HDL-C and LVEF index levels (r_s=-0.214, -0.232, P < 0.05). NLR, PLR and MPV are independent influencing factors of T2DM patients with LVH (P < 0.05). The areas under the curve(AUC) of NLR, PLR and MPV forecasted T2DM with LVH were 0.783 (95%CI, 0.723 to 0.844), 0.756 (95%CI, 0.692 to 0.819) and 0.681 (95%CI, 0.610to0.751) respectively, the best cut-off values were 1.97, 97.37 and 11.15 fL respectively, the sensitivities were 87.4%, 84.5% and 62.1%, and the specificities were 61.9%, 57.5% and 61.8%.
Conclusion The levels of NLR, PLR and MPV in T2DM patients with LVH are significantly increased. NLR, PLR, and MPV can be used as predictors of T2DM combined with LVH, and the predictive value of NLR is better than PLR and MPV.
- type 2 diabetes,
- left ventricular hypertrophy,
- neutrophil to lymphocyte ratio,
- platelet to lymphocyte ratio,
- mean platelet volume

FullText(HTML)

References (12)

References

[1]	DAWSON A, MORRIS A D, STRUTHERS A D. The epidemiology of left ventricular hypertrophy in type 2 diabetes mellitus[J]. Diabetologia, 2005, 48(10): 1971-1979. doi: 10.1007/s00125-005-1896-y
[2]	LIN T H, CHIU H C, SU H M, et al. Association Between Fasting Plasma Glucose and Left Ventricular Mass and Left Ventricular Hypertrophy over 4 Years in a Healthy Population Aged 60 and Older[J]. Journal of the American Geriatrics Society, 2010, 55(5): 717-724. http://www.onacademic.com/detail/journal_1000034684715010_cbf1.html
[3]	PALMIERI V, TRACY R P, ROMAN M J, et al. Relation of left ventricular Between fasting plasma glucose and left ventricular mass and left ventricular hypertrophy over 4 years in a healthy population aged 60 and older[J]. J Am Geriatr Soc, 2007, 55(5): 717-724. doi: 10.1111/j.1532-5415.2007.01134.x
[4]	石贵文. 2型糖尿病合并颈动脉粥样硬化的危险因素及血小板与淋巴细胞比和中性粒细胞与淋巴细胞比值分析[J]. 实用临床医药杂志, 2018, 22(1): 27-30. doi: 10.7619/jcmp.201801009
[5]	KIM S H, SUNG K C, LEE S K, et al. Longitudinal changes in left ventricular structure and function in patients with type 2 diabetes: Normal weight versus overweight/obesity[J]. Diabetes & Vascular Disease Research, 2019, 16(5): 450-457. http://www.researchgate.net/publication/333058135_Longitudinal_changes_in_left_ventricular_structure_and_function_in_patients_with_type_2_diabetes_Normal_weight_versus_overweightobesity
[6]	中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版)[J]. 中华内分泌代谢杂志, 2021, 37(4): 311-398. doi: 10.3760/cma.j.cn311282-20210304-00142
[7]	MARKUS M R P, ROSPLESZCZ S, ITTERMANN T, et al. Glucose and insulin levels are associated with arterial stiffness and concentric remodeling of the heart[J]. Cardiovasc Diabetol, 2019, 18(1): 145. doi: 10.1186/s12933-019-0948-4
[8]	TSALAMANDRIS S, ANTONOPOULOS A S, OIKONOMOU E, et al. The role of inflammation in diabetes: current concepts and future perspectives[J]. Eur Cardiol, 2019, 14(1): 50-59. doi: 10.15420/ecr.2018.33.1
[9]	NAGAI T, KOMURO I. Gene and cytokine therapy for heart failure: molecular mechanisms in the improvement of cardiac function[J]. Am J Physiol Heart Circ Physiol, 2012, 303(5): H501-H512. doi: 10.1152/ajpheart.00130.2012
[10]	WAN H, WANG Y, FANG S, et al. Associations between the Neutrophil-to-Lymphocyte Ratio and Diabetic Complications in Adults with Diabetes: A Cross-Sectional Study[J]. J Diabetes Res, 2020, 2020: 6219545. http://www.researchgate.net/publication/341050706_Associations_between_the_Neutrophil-to-Lymphocyte_Ratio_and_Diabetic_Complications_in_Adults_with_Diabetes_A_Cross-Sectional_Study
[11]	邱乐, 刘奇志. 中性粒细胞与淋巴细胞比值在心血管疾病中作用的研究进展[J]. 中国全科医学, 2020, 23(12): 1559-1565. https://www.cnki.com.cn/Article/CJFDTOTAL-QKYX202012019.htm
[12]	QIAO S, GAO W, GUO S J. Neutrophil-lymphocyte ratio (NLR) for predicting clinical outcomes in patients with coronary artery disease and type 2 diabetes mellitus: a propensity score matching analysis[J]. Ther Clin Risk Manag, 2020, 16: 437-443. doi: 10.2147/TCRM.S244623

[1]	LIN Ningning, ZHAO Jiajia, FAN Junya, TIAN Xinyu, ZHANG Hui. Effects of three therapeutic schedules on cardiac functionand prognosis in patients undergoing percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2022, 26(16): 66-70. DOI: 10.7619/jcmp.20220829
[2]	YANG Junxia. Effect of rehabilitation nursing intervention on the improvement of quality of life in patients with cerebral infarction[J]. Journal of Clinical Medicine in Practice, 2019, 23(12): 96-98, 102. DOI: 10.7619/jcmp.201912028
[3]	DING Xiaowei, CHEN Haiyan. Correlation study of continuous nursing on quality of life in patients with coronary artery disease after transradial coronary intervention[J]. Journal of Clinical Medicine in Practice, 2016, (22): 5-7,14. DOI: 10.7619/jcmp.201622002
[4]	GU Yongzhen. Effect of continuous nursing on the life quality and prognosis in children with asthma[J]. Journal of Clinical Medicine in Practice, 2015, (16): 113-115,119. DOI: 10.7619/jcmp.201516035
[5]	FAN Wenxia, XIAO Qiong, ZHOU Ke. Clinical observation on the effect of nursing intervention on psychologyand quality of life in patients with hemodialysis[J]. Journal of Clinical Medicine in Practice, 2015, (14): 36-38. DOI: 10.7619/jcmp.201514012
[6]	YANG Xiaoping, CHEN Qinjie, LI Lina, CHEN Qing. Quality of life in infertile couples and its influencing factors[J]. Journal of Clinical Medicine in Practice, 2015, (10): 71-74. DOI: 10.7619/jcmp.201510022
[7]	XIANG Mei, LIU Aihua. The impact of high quality nursing on adverse emotion and quality of life in patients with colorectal cancer after operation[J]. Journal of Clinical Medicine in Practice, 2015, (6): 62-64. DOI: 10.7619/jcmp.201506020
[8]	TU Xuemei. The effect and clinical analysis of continuous nursing intervention on prognosis of patients with coronary heart disease[J]. Journal of Clinical Medicine in Practice, 2015, (6): 4-6,22. DOI: 10.7619/jcmp.201506002
[9]	The effect of evidence-based nursing on postoperative complications and life quality of percutaneous coronary intervention[J]. Journal of Clinical Medicine in Practice, 2014, (10): 3-5. DOI: 10.7619/jcmp.201410002
[10]	SONG Wenying. Influence of nursing intervention on the quality of life of patients with depression[J]. Journal of Clinical Medicine in Practice, 2013, (16): 147-149. DOI: 10.7619/jcmp.201316057

Cited By

Cited by

Periodical cited type(23)

1.	邓玉珍. 健身气功八段锦锻炼结合睡眠干预对改善冠心病行冠状动脉介入术患者生活质量的效果观察. 心血管病防治知识. 2024(03): 68-72 .
2.	王妍蝶，时贤君，秦庆祝. 认知行为干预结合健康教育对提高冠心病行经皮冠状动脉介入术后患者自我管理能力的效果. 慢性病学杂志. 2024(07): 1017-1020 .
3.	刘翠琴，郭小燕. 基于运动疗法的康复护理对风湿性心脏病瓣膜置换患者术后的影响. 心血管病防治知识. 2024(10): 135-137 .
4.	余媛媛，贺泽霞，张永佳，兰富霞，徐英. 4C干预模式对老年经皮冠状动脉介入术后患者的影响. 实用临床医药杂志. 2023(16): 68-71 . 本站查看
5.	梁夷凤. 冠心病患者PCI术后应用基于5E理念的综合康复护理的效果分析. 中外医疗. 2023(23): 155-159 .
6.	吴伟，高鹃. 双心护理模式对冠心病经皮冠状动脉介入治疗患者心理健康状况和护理满意度的影响观察. 基层医学论坛. 2022(03): 87-89 .
7.	吴张平. 早期心脏康复训练对PCI术后患者的影响. 继续医学教育. 2022(05): 125-128 .
8.	牛杜娟，尚雯，张红. 以FTS理论为指导的系统化护理模式对PCI术后患者心功能的影响. 保健医学研究与实践. 2022(07): 82-85 .
9.	王琳，张亚铮，袁媛. 基于CSMS量表和CQQC的5E康复护理在冠心病PCI术后患者康复中的应用效果. 河北医药. 2022(14): 2228-2231 .
10.	刘娟，刘芳，张静. 临床护理路径在冠状动脉搭桥术患者术后康复中的应用效果研究. 中西医结合心血管病电子杂志. 2022(11): 4-6+13 .
11.	贾艳静，王新宙. 优质护理应用于老年冠心病患者护理中对患者生活质量和疗效的影响. 中国药物与临床. 2021(08): 1409-1411 .
12.	邹蓉蓉，李天兰，吴莉玫，尹艳华. 优化康复护理流程对PCl术后患者心肺功能以及预后的影响分析. 心血管病防治知识. 2021(04): 59-61+64 .
13.	宋敏. 整体化康复护理措施在冠心病患者中的应用. 黑龙江中医药. 2021(01): 294-295 .
14.	张善婷，冯俊，刘洋. 冠心病患者PCI介入治疗中的护患沟通对治疗依从性的影响. 河北医药. 2021(11): 1743-1746 .
15.	胥加艳，郭晓鑫. 5E护理在冠心病病人PCI术后康复中的应用研究. 循证护理. 2021(08): 1108-1111 .
16.	郭秀蝶，郑雅娟，林晨芳，吴群，张亚真. 评判性思维护理对缺铁性贫血伴缺血性心脏病患者贫血及心功能的影响. 心血管病防治知识. 2021(32): 26-29 .
17.	柯晓玲，吴娟娟. 早期康复护理对老年心血管病患者的效果观察. 心血管病防治知识(学术版). 2020(14): 68-70 .
18.	孙婧，李萍. 冠心病患者的系统性心肺康复护理. 实用临床医药杂志. 2020(14): 122-125 . 本站查看
19.	陈燕华，张苗. 慢性肾脏病合并冠心病患者冠状动脉介入术后行血液透析护理研究. 山西医药杂志. 2020(18): 2548-2549 .
20.	刘姝娉. 过渡期康复护理措施对老年心血管疾病患者功能恢复及预后的影响. 心血管病防治知识. 2020(24): 70-72 .
21.	郑燕，常莉，刘桂玲，刘晚霞. 常规护理联合心脏康复护理对冠心病介入治疗后心功能的改善作用. 贵州医药. 2020(10): 1662-1663 .
22.	张书明. 探讨冠心病冠状动脉介入术患者心脏康复护理模式的建立对促进患者术后恢复的意义. 心血管病防治知识. 2020(31): 58-60 .
23.	聂志鑫. 时机理论下的家庭护理对经皮冠状动脉性心脏病介入治疗后患者预后和生活质量的影响. 中西医结合护理(中英文). 2020(11): 59-62 .

Other cited types(0)

Get Citation

PDF

XML

Article views (474) PDF downloads (32) Cited by(23)

Turn off MathJax

Article Contents

Abstract

References

Correlations between type 2 diabetes patients with left ventricular hypertrophy and levels of inflammatory markers