Prevalence of chronic kidney disease in a representative sample of the Polish population: Results of the NATPOL 2011 survey

Nephrology Dialysis Transplantation

Volumn 31, Issue 3, 2016, Pages 433-439

  Zdrojewski, Lukasz ^a   Zdrojewski, Tomasz ^a   Rutkowski, Marcin ^a   Bandosz, Piotr ^a   Król, Ewa ^a   Wyrzykowski, Bogdan ^a   Rutkowski, Bolesław ^a  

^a MEDICAL UNIVERSITY OF GDANSK   (Poland)

Author keywords

albuminuria; chronic kidney disease; eGFR formula; glomerular filtration rate; national population survey

Indexed keywords

ANTIHYPERTENSIVE AGENT;

ADULT; AGED; ALBUMIN BLOOD LEVEL; ALBUMINURIA; ARTICLE; CARDIOVASCULAR DISEASE; CHRONIC KIDNEY DISEASE; COMORBIDITY; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CROSS-SECTIONAL STUDY; DIASTOLIC BLOOD PRESSURE; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; KIDNEY TRANSPLANTATION; MAJOR CLINICAL STUDY; MALE; MORPHOLOGY; OBSERVATIONAL STUDY; POLISH CITIZEN; POPULATION SIZE; PREVALENCE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; RISK ASSESSMENT; RISK FACTOR; SYSTOLIC BLOOD PRESSURE; URINARY EXCRETION; ADOLESCENT; CLINICAL TRIAL; MIDDLE AGED; MULTICENTER STUDY; PATHOPHYSIOLOGY; PHYSIOLOGY; POLAND; QUESTIONNAIRE; RENAL INSUFFICIENCY, CHRONIC; RETROSPECTIVE STUDY;

ADOLESCENT; ADULT; AGED; CROSS-SECTIONAL STUDIES; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; MALE; MIDDLE AGED; POLAND; PREVALENCE; RENAL INSUFFICIENCY, CHRONIC; RETROSPECTIVE STUDIES; RISK FACTORS; SURVEYS AND QUESTIONNAIRES;

EID: 84960101332     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfv369     Document Type: Article

References (34)

1. Kidney Disease: Improving Global Outcomes (KDIGO)CKDWork Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2013; 3: 1-150
2. Sarnak MJ, Levey AS, Schoolwerth AC, et al. Kidney disease as a risk factor for development of cardiovascular disease: a statement from the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention. Circulation 2003; 108: 2154-2169
3. Weiner DE, Tighiouart H, Amin MG, et al. Chronic kidney disease as a risk factor for cardiovascular disease and all-cause mortality: a pooled analysis of community-based studies. J Am Soc Nephrol 2004; 15: 1307-1315
4. Chadban SJ, Briganti EM, Kerr PG, et al. Prevalence of kidney damage inAustralian adults: the AusDiab kidney study. J AmSocNephrol 2003; 14: 131-138
5. Coresh J, Selvin E, Stevens LA, et al. Prevalence of chronic kidney disease in the United States. JAMA 2007; 298: 2038-2047
6. Wen CP, Cheng TY, Tsai MK, et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan. Lancet 2008; 371: 2173-2182
7. de Zeeuw D, Hillege HL, de Jong PE. The kidney, a cardiovascular risk marker, and a new target for therapy. Kidney Int Suppl 2005; 98: 25-29
8. Hallan SI, Coresh J, Astor BC, et al. International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. J Am Soc Nephrol 2006; 17: 2275-2284
9. Otero A, de Francisco A, Gayoso P, et al. Prevalence of chronic renal disease in Spain: results of the EPIRCE study. Nefrologia 2010; 30: 78-86
10. Viktorsdottir O, Palsson R, Andresdottir MB, et al. Prevalence of chronic kidney disease based on estimated glomerular filtration rate and proteinuria in Icelandic adults. Nephrol Dial Transplant 2005; 20: 1799-1807
11. Gambaro G, Yabarek T, Graziani MS, et al. Prevalence of CKD in northeastern Italy: results of the INCIPE study and comparison with NHANES. Clin J Am Soc Nephrol 2010; 5: 1946-1953
12. Stack AG, Casserly LF, Cronin CJ, et al. Prevalence and variation of chronic kidney disease in the Irish health system: initial findings from the National Kidney Disease Surveillance Programme. BMC Nephrol 2014; 15: 185
13. Rutkowski B, Czarniak P, Krol E, et al. Overweight, obesity, hypertension and albuminuria in Polish adolescents-results of the Sopkard 15 study. Nephrol Dial Transplant 2013; 28: 204-211
14. Krol E, Rutkowski B, Czarniak P, et al. Early detection of chronic kidney disease: results of the PolNef study. Am J Nephrol 2009; 29: 264-273
15. Chudek J, Wieczorowska-Tobis K, Zejda J, et al. The prevalence of chronic kidney disease and its relation to socioeconomic conditions in an elderly Polish population: results from the national population-based study PolSenior. Nephrol Dial Transplant 2014; 29: 1073-1082
16. Zdrojewski T, Rutkowski M, Bandosz P, et al. Prevalence and control of cardiovascular risk factors in Poland. Assumptions and objectives of the NATPOL 2011 Survey. Kardiol Pol 2013; 71: 381-392
17. Rutkowski M, Bandosz P, Czupryniak L, et al. Prevalence of diabetes and impaired fasting glucose in Poland-the NATPOL 2011 Study. Diabet Med 2014; 31: 1568-1571
18. Levey AS, Bosch JP, Lewis JB, et al. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999; 130: 461-470
19. Levey AS, Coresh J, Greene T, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006; 145: 247-254
20. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612
21. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification and stratification. Am J Kidney Dis 2002; 39: 1-266
22. Inker LA, Levey AS. Pro: estimating GFR using the chronic kidney disease epidemiology collaboration (CKD-EPI) 2009 creatinine equation: the time for change is now. Nephrol Dial Transplant 2013; 28: 1390-1396
23. Matsushita K, Mahmoodi BK, WoodwardMet al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA 2012; 307: 1941-1951
24. Zdrojewski Ł, Rutkowski B. MDRD or CKD-EPI equation-revolution or evolution? Forum Nefrologiczne 2014; 7: 38-44
25. White SL, Polkinghorne KR, Atkins RC, et al. Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study. Am J Kidney Dis 2010; 55: 660-670
26. DeNicola L, DonfrancescoC, Minutolo Ret al. Prevalence and cardiovascular risk profile of chronic kidney disease in Italy: results of the 2008-12 National Health Examination Survey. Nephrol Dial Transplant 2015; 30: 806-814
27. Krol E, Rutkowski B, Czarniak P, et al. Aging or comorbid conditions-what is the main cause of kidney damage? J Nephrol 2010; 23: 444-452
28. Rutkowski B, Lichodziejewska-Niemierko M, Grenda R, et al. Report on Renal Replacement Therapy in Poland-2011. Gdansk: Polish Renal Registry of the Polish Society of Nephrology, 2014, pp. 7-31
29. Whaley-Connell A, Shlipak MG, Inker LA, et al. Awareness of kidney disease and relationship to end-stage renal disease and mortality. Am J Med 2012; 125: 661-669
30. Hallan SI, Matsushita K, Sang Y, et al. Age and association of kidneymeasures with mortality and end-stage renal disease. JAMA 2012; 308: 2349-2360
31. Mahmoodi BK, Matsushita K, WoodwardMet al. Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without hypertension: a meta-analysis. Lancet 2012; 380: 1649-1661
32. Fox CS, Matsushita K, Woodward M, et al. Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis. Lancet 2012; 380: 1662-1673
33. Hallan SI, Orth SR. Smoking is a risk factor in the progression to kidney failure. Kidney Int 2011; 80: 516-523
34. Matsushita K, van Der Velde M, Astor BC, et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet 2010; 375: 2073-2081