Interaction effect of blood glucose and pressure on the risk of chronic kidney disease: a population-based prospective cohort study

被引:4
作者
Wang, Minzhen [1 ]
Xia, Miao [1 ]
Yang, Hongyan [1 ]
Zhang, Desheng [2 ]
Zhao, Yanan [1 ]
He, Yingqian [1 ]
Liu, Jing [1 ]
Zhang, Lulu [1 ]
Yin, Chun [2 ]
Bai, Yana [1 ]
机构
[1] Lanzhou Univ, Sch Publ Hlth, Dept Epidemiol & Stat, Lanzhou 730000, Gansu, Peoples R China
[2] Workers Hosp Jinchuan Grp Co Ltd, Jinchang 737100, Gansu, Peoples R China
基金
中国国家自然科学基金;
关键词
Blood glucose; Blood pressure; Chronic kidney disease; Prospective cohort study; Interaction; COMMUNITY-BASED POPULATION; TYPE-2; DIABETES-MELLITUS; HYPERTENSION; PREVALENCE; 10-YEAR; IMPACT; INJURY; CKD;
D O I
10.1007/s12020-022-03094-9
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: To evaluate the interaction effect of blood glucose and blood pressure on the risk of chronic kidney disease (CKD). Methods: 31,165 subjects were selected without CKD at baseline and had completed the first follow-up from "Jinchang cohort". Cox regression model and restricted cubic splines functions were used to evaluate the effects of blood glucose or pressure on the incidence of CKD and dose-response relationship after adjusting for confounding covariates. Synergic effect was assessed by the multiplicative or additive interaction scale. Results: Among 31,165 subjects, 1307 new-onset CKD were observed during 68905.78 person-years follow-up, and the incidence density was 18.97 per 1000 person-years. The risk of CKD gradually increased with the increase of blood pressure in diabetes, pre-diabetes and normal groups (P-trend < 0.05). And, the risk was greatest when SBP/DBP reached >= 150/>= 110 mmHg in three groups, and HRs (95% CI) were 1.610 (1.070-2.422), 2.142 (1.396-3.288) and 2.455 (1.941-3.106), respectively. Additionally, among hypertension, pre-hypertension and normal groups, the risk of CKD increased by 16.0%, 14.3% and 25.2% for each 1 mmol/L of FPG. When FPG level was more than 9.0 mmol/L, the risk was greatest and adjusted HRs (95% CI) were 2.856 (2.176-3.748), 2.979 (1.828-4.854) and 7.520 (4.517-12.519). Furthermore, the risk was highest when hypertension was accompanied by diabetes (HR = 4.915, 95% CI: 3.923-6.157). This analysis supported a less than multiplicative effect (HR = 0.634, 95% CI: 0.417-0.964) for the interaction term of diabetes and hypertension, while there was no additive interaction towards CKD in all interaction term. Conclusions: Blood glucose and pressure were independent risk factors in incidence of CKD, but there was only a negative multiplicative interaction between hypertension and diabetes, but no additive interaction effect between them.
引用
收藏
页码:252 / 261
页数:10
相关论文
共 44 条
[1]   Diabetic Nephropathy and Its Risk Factors in a Society with a Type 2 Diabetes Epidemic: A Saudi National Diabetes Registry-Based Study [J].
Al-Rubeaan, Khalid ;
Youssef, Amira M. ;
Subhani, Shazia N. ;
Ahmad, Najlaa A. ;
Al-Sharqawi, Ahmad H. ;
Al-Mutlaq, Hind M. ;
David, Satish K. ;
AlNaqeb, Dhekra .
PLOS ONE, 2014, 9 (02)
[2]   Calculating measures of biological interaction [J].
Andersson, T ;
Alfredsson, L ;
Källberg, H ;
Zdravkovic, S ;
Ahlbom, A .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2005, 20 (07) :575-579
[3]  
[Anonymous], 2018, DIABETES CARE, V41, pS1, DOI [10.2337/dc18-Sint01, 10.2337/dc18-SINT01]
[4]   Cohort Profile: The China Metal-Exposed Workers Cohort Study (Jinchang Cohort) [J].
Bai, Yana ;
Yang, Aimin ;
Pu, Huangquan ;
Dai, Min ;
Cheng, Ning ;
Ding, Jiao ;
Li, Juansheng ;
Li, Haiyan ;
Hu, Xiaobin ;
Ren, Xiaowei ;
He, Jie ;
Zheng, Tongzhang .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2017, 46 (04) :1095-+
[5]   Renal microvascular dysfunction, hypertension and CKD progression [J].
Bidani, Anil K. ;
Polichnowski, Aaron J. ;
Loutzenhiser, Rodger ;
Griffin, Karen A. .
CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION, 2013, 22 (01) :1-9
[6]   US Renal Data System 2011 Annual Data Report [J].
Collins, Allan J. ;
Foley, Robert N. ;
Chavers, Blanche ;
Gilbertson, David ;
Herzog, Charles ;
Johansen, Kirsten ;
Kasiske, Bertram ;
Kutner, Nancy ;
Liu, Jiannong ;
St Peter, Wendy ;
Guo, Haifeng ;
Gustafson, Sally ;
Heubner, Brooke ;
Lamb, Kenneth ;
Li, Shuling ;
Li, Suying ;
Peng, Yi ;
Qiu, Yang ;
Roberts, Tricia ;
Skeans, Melissa ;
Snyder, Jon ;
Solid, Craig ;
Thompson, Bryn ;
Wang, Changchun ;
Weinhandl, Eric ;
Zaun, David ;
Arko, Cheryl ;
Chen, Shu-Cheng ;
Daniels, Frank ;
Ebben, James ;
Frazier, Eric ;
Hanzlik, Christopher ;
Johnson, Roger ;
Sheets, Daniel ;
Wang, Xinyue ;
Forrest, Beth ;
Constantini, Edward ;
Everson, Susan ;
Eggers, Paul ;
Agodoa, Lawrence .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2012, 59 (01) :EVII-E418
[7]   Prevalence of hypertension and obesity in patients with type 2 diabetes mellitus in observational studies: a systematic literature review [J].
Colosia, Ann D. ;
Palencia, Roberto ;
Khan, Shahnaz .
DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY, 2013, 6 :327-338
[8]  
Daugirdas JT, 2015, AM J KIDNEY DIS, V66, P884, DOI 10.1053/j.ajkd.2015.07.015
[9]   The effect of joint exposures: examining the presence of interaction [J].
de Mutsert, Renee ;
Jager, Kitty J. ;
Zoccali, Carmine ;
Dekker, Friedo W. .
KIDNEY INTERNATIONAL, 2009, 75 (07) :677-681
[10]   Dose-response analyses using restricted cubic spline functions in public health research [J].
Desquilbet, Loic ;
Mariotti, Francois .
STATISTICS IN MEDICINE, 2010, 29 (09) :1037-1057