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Relationship of longitudinal trajectory of systolic blood pressure to new-onset chronic kidney disease
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Jin-Jie Huang1, Jun-Juan Li1, Xin-Lei Zhang1, Jing Zhou1, Yi-Han Ma2, Jun-Lu Zhang3, Ru Wang1, Zhi-Zhen Guo1, Shou-Ling Wu4, *
Medical Journal of Chinese People’s Liberation Army | 2021, 46(1) : 49 - 56
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Medical Journal of Chinese People’s Liberation Army | 2021, 46(1): 49-56
Clinical Research
Relationship of longitudinal trajectory of systolic blood pressure to new-onset chronic kidney disease
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Jin-Jie Huang1, Jun-Juan Li1, Xin-Lei Zhang1, Jing Zhou1, Yi-Han Ma2, Jun-Lu Zhang3, Ru Wang1, Zhi-Zhen Guo1, Shou-Ling Wu4, *
Affiliations
  • 1Department of Nephrology, Kailuan General Hospital, Tangshan, Hebei 063000, China
  • 2Graduate School of North China University of Science and Technology, Tangshan, Hebei 063000, China
  • 3Department of Pathology, Kailuan General Hospital, Tangshan, Hebei 063000, China
  • 4Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei 063000, China
Published: 2021-01-28 doi: 10.11855/j.issn.0577-7402.2021.01.09
Outline
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Objective To investigate the relationship of longitudinal trajectory of systolic blood pressure (SBP) to new-onset chronic kidney disease (CKD). Methods A prospective cohort study was performed with a total of 13 985 on job and retired Kailuan Group employees who met the standard and participated in health examination. SAS Proc Traj program was used to identify the longitudinal trajectories of SBP of the first three times health examination, and 5 different SBP trajectory groups formed: low-stability trajectory group (106.42-109.43 mmHg, n=2927), medium-stability trajectory group (120.63-124.46 mmHg, n=6916), medium-high trajectory group (132.22-142.97 mmHg, n=2716), high-medium trajectory group (156.77-134.15 mmHg, n=668) and high-stability trajectory group (154.65-158.98 mmHg, n=758). Log-rank test was performed to compare the differences of new-onset CKD cumulative incidence among different SBP trajectory groups during follow-up; Multi-Cox regression model was used to analyze the effect of different SBP longitudinal trajectories on new-onset CKD. Results The mean age of 13 985 subjects was (49.5±11.0)years, including 10 712 males (76.6%) and 3273 females (23.4%), the mean follow-up time was (6.8±1.0) years. The cumulative incidence of CKD was 13.9% (1187/13 985). The cumulative incidences of CKD in low-stability trajectory group, medium-stability trajectory group, medium-high trajectory group, high-medium trajectory group and high-stability trajectory group were 7.7% (147/2927), 12.2% (514/6916), 17.8% (291/2716), 21.9% (93/668), and 35.4% (142/758), respectively, the incidence of CKD increased with elevated stability trajectory (log-rank χ2=177.561, P<0.001). Multi-Cox regression model analysis showed that with adjusted confounding factors, compared with the subjects in low-stability trajectory group, SBP longitudinal trajectories were the risk factors for new-onset CKD in medium-high trajectory group, high-medium trajectory group and high-stability trajectory group, and the HR and 95%CI were 1.36 (1.04-1.77), 1.62 (1.08-2.43) and 2.06 (1.40-3.02), respectively. And the influence of SBP longitudinal trajectory on new-onset CKD was better than that of baseline SBP level. Conclusion Elevated longitudinal trajectory of SBP is the risk factor for new-onset CKD in Kailuan group population.

longitudinal trajectory of systolic blood pressure  /  new-onset chronic kidney disease  /  cohort study
Jin-Jie Huang, Jun-Juan Li, Xin-Lei Zhang, Jing Zhou, Yi-Han Ma, Jun-Lu Zhang, Ru Wang, Zhi-Zhen Guo, Shou-Ling Wu. Relationship of longitudinal trajectory of systolic blood pressure to new-onset chronic kidney disease[J]. Medical Journal of Chinese People’s Liberation Army, 2021 , 46 (1) : 49 -56 . DOI: 10.11855/j.issn.0577-7402.2021.01.09
  • Research Fund Projects of Health Commission of Hebei Province(20171430)
Year 2021 volume 46 Issue 1
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Article Info
doi: 10.11855/j.issn.0577-7402.2021.01.09
  • Receive Date:2020-10-13
  • Online Date:2025-12-26
  • Published:2021-01-28
Article Data
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History
  • Received:2020-10-13
  • Revised:2020-12-08
Funding
Research Fund Projects of Health Commission of Hebei Province(20171430)
Affiliations
    1Department of Nephrology, Kailuan General Hospital, Tangshan, Hebei 063000, China
    2Graduate School of North China University of Science and Technology, Tangshan, Hebei 063000, China
    3Department of Pathology, Kailuan General Hospital, Tangshan, Hebei 063000, China
    4Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei 063000, China

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表12种不同金属材料的力学参数

Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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