Cardiovascular and nephrological risk in patients with chronic kidney disease in ambulatory care.

Authors

DOI:

https://doi.org/10.26641/2307-0404.2019.3.181874

Keywords:

cardiovascular risk, chronic kidney disease, progression, arterial hypertension

Abstract

Patients with chronic kidney disease (CKD) have higher than in general population all-cause and cardiovascular mortality. Arterial hypertension (HTN) is a powerful potentially modifiable risk factor that affects the majority of patients with chronic kidney disease and one of the main causes of end stage renal disease worldwide. Existing tools for assessment of risk of CKD progression do not take into account arterial hypertension. The aim – to investigate the association between cardiovascular and nephrological risk factors in patients with CKD in ambulatory practice. The study was carried out in the Center of Nephrology Care in Mechnikov Dnipropetrovsk Regional Hospital, Dnipro, Ukraine. 278 patients (114 males and 164 women, aged 41 [31;61] years) with CKD (stages 1-3) who were followed-up in ambulatory care, but required diagnosis or treatment revision were enrolled to the study. All patients were examined and followed-up according to local and European standards. Females slightly prevailed in our study, gender distribution varied insufficiently in groups by CKD progression risk. Elevation of risk of CKD progression was accompanied by rise of prevalence of diabetes mellitus, left ventricle hypertrophy, proteinuria and HTN.  Risk of CKD progression correlated with age, systolic and diastolic blood pressure, erythrocyte sedimentation rate, total cholesterol, glomerular filtration rate, albumin excretion rate, duration of HTN and body mass index. Rise of cardiovascular risk was accompanied by rise of proportion of patients with high risk of CKD progression. Increase in risk of CKD progression is associated with rise of burden of cardiovascular risk factors. HTN and blood pressure values should be accounted for assessment of risk of CKD progression.

Author Biographies

O. Kuryata

SE «Dnipropetrovsk medical academy of Health Ministry of Ukraine»
department Internal Medicine 2
V. Vernadsky str., 9, Dnipro, 49044, Ukraine

V. Semenov

SE «Dnipropetrovsk medical academy of Health Ministry of Ukraine»
department Internal Medicine 2
V. Vernadsky str., 9, Dnipro, 49044, Ukraine

References

Carrero JJ, Grams ME, Sang Y, Gasparini A, Matsushita K, Evans M, et al. Albuminuria changes and subsequent risk of end-stage renal disease and mortality. Kidney Int. 2018;91(1):244-51. doi: https://doi.org/10.1016/j.kint.2016.09.037

Mahmoodi BK, Matsushita K, Woodward M, Blankestijn J, Cirillo M, Ohkubo T, et al. Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis. The Lancet. 2012;380(9854):1649-61. doi: https://doi.org/10.1053/j.ackd.2014.12.001

Bolignano D, Zoccali C. Non-proteinuric rather than proteinuric renal diseases are the leading cause of end-stage kidney disease. Nephrol Dial Transplant. 2017;32(March 2017):ii194-9. doi: https://doi.org/10.1093/ndt/gfw440

Thompson S, James M, Wiebe N, Hemmelgarn B, Manns B, Klarenbach S, et al. Cause of Death in Patients with Reduced Kidney Function. J Am Soc Nephrol [Internet]. 2015;26(10):2504-11. Available from: http://www.jasn.org/cgi/doi/10.1681/ASN.2014070714. doi: https://doi.org/10.1681/ASN.2014070714

Heerspink HJL, Gansevoort RT, Brenner BM, Cooper ME, Parving HH, Shahinfar S, et al. Comparison of Different Measures of Urinary Protein Excretion for Pre­diction of Renal Events. J Am Soc Nephrol. 2010;21:1355-60. doi: https://doi.org/10.1681/ASN.2010010063

Mattace-Raso F, Hofman A, Verwoert G, Witte­mana J, Wilkinson I, Cockcroft J, et al. Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors : establishing normal and reference values. Eur Heart J. 2010;185:2338-50. doi: https://doi.org/10.1093/eurheartj/ehq165

Wouters OJ, O’Donoghue DJ, Ritchie J, Kana­vos PG, Narva AS. Early chronic kidney disease: Diagnosis, management and models of care. Nature Reviews Nephro­logy; 2015. doi: https://doi.org/10.1038/nrneph.2015.85

Piepoli MF, Hoes AW, Agewall S, Albus C, Bro­tons C, Catapano AL, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2016;37(29):2315-81. doi: https://doi.org/10.1093/eurheartj/ehw106

Firke S. janitor: Simple Tools for Examining and Clea­ning Dirty Data. R package version 1.2.0. [software]. 2019. Available from: https://CRAN.R-project.org/package=janitor

Greve SV, Laurent S, Olsen MH. Estimated Pulse Wave Velocity Calculated from Age and Mean Arterial Blood Pressure. Pulse [Internet]. 2016;4(4):175-9. Available from: https://www.karger.com/Article/FullText/453073. doi: https://doi.org/10.1159/000453073

Hlavac, Marek. stargazer: Well-Formatted Reg­ression and Summary Statistics Tables. R package version 5.2.1. [software]. 2018. Available from: https://CRAN.R-project.org/package=stargazer

Amdur RL, Feldman HI, Gupta J, Yang W, Ka­netsky P, Shlipak M, et al. Inflammation and Progression of CKD : The CRIC Study. Clin J Am Soc Nephrol. 2016;11(9):1546-56. doi: https://doi.org/10.2215/CJN.13121215

Judd E, Calhoun DA. Management of Hyperten­sion in CKD: Beyond the Guidelines. Advances in Chro­nic Kidney Disease; 2015. doi: https://doi.org/10.1053/j.ackd.2014.12.001

Eknoyan G, Lameire N, Echardt K, Kasiske B, Wheeler D, Abboud O. KDIGO Clinical Practice Guide­line for the Management of Blood Pressure in Chronic Kidney Disease. Kidney Int. 2012;Supp:2(5):337-414. doi: https://doi.org/10.1038/kisup.2012.7

Eknoyan G, Lameire N, Echardt K, Kasiske B, Wheeler D, Abboud O. KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int Suppl [Internet]. 2013;3(1):1-150. doi: https://doi.org/10.1038/kisup.2012.76

National Institute for Health and Clinical Excel­lence. Chronic kidney disease in adults: assessment and management. NICE Guidelines; 2014

R Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria; 2019. Available from: https://www.R-project.org/

Teo BW, Loh PT, Wong WK, Ho PJ, Choi KP, Toh QC, et al. Spot Urine Estimations Are Equivalent to 24-Hour Urine Assessments of Urine Protein Excretion for Predicting Clinical Outcomes. Int J Nephrol.; 2015 (Epub 2015 Jan 8.). doi: https://doi.org/10.1155/2015/156484

Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A, Böhm M, et al. 2013 ESH/ESC guidelines for the management of arterial hypertension: The Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). Eur Heart J. 2013;34(28):2159-219. doi: https://doi.org/10.1093/eurheartj/eht151

Whelton PK, Carey RM, Aronow WS, Ovbia­gele B, Casey DE, Smith SC, et al. 2017 ACC/AHA/­AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults [Internet]. Journal of American College of Cardiology. 2017;283. Available from: http://www.ncbi.nlm.nih.gov/­pubmed/29133356. doi: https://doi.org/10.1161/HYP.0000000000000066

Williams B, Mancia G, Spiering W, Agabiti Ro­sei E, Azizi M, Burnier M, et al. 2018 ESC/ESH Guide­lines for the management of arterial hypertension. Eur Hear J. 2018;39(33):3021-104. doi: https://doi.org/10.1093/eurheartj/ehy339

Downloads

How to Cite

1.
Kuryata O, Semenov V. Cardiovascular and nephrological risk in patients with chronic kidney disease in ambulatory care. Med. perspekt. [Internet]. 2019Nov.5 [cited 2024Dec.23];24(3):15-21. Available from: https://journals.uran.ua/index.php/2307-0404/article/view/181874

Issue

Section

CLINICAL MEDICINE