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Pregled bibliografske jedinice broj: 910476

Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area


Fuček, Mirjana; Dika, Živka; Karanović, Sandra; Vuković Brinar, Ivana; Premužić, Vedran; Kos, Jelena; Cvitković, Ante; Mišić, Maja; Samardžić, Josip; Rogić, Dunja; Jelaković, Bojan
Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area // Biochemia Medica, 28 (2018), 1; 010701, 8 doi:10.11613/BM.2018.010701 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 910476 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area

Autori
Fuček, Mirjana ; Dika, Živka ; Karanović, Sandra ; Vuković Brinar, Ivana ; Premužić, Vedran ; Kos, Jelena ; Cvitković, Ante ; Mišić, Maja ; Samardžić, Josip ; Rogić, Dunja ; Jelaković, Bojan

Izvornik
Biochemia Medica (1330-0962) 28 (2018), 1; 010701, 8

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
chronic kidney disease ; endemic nephropathy ; estimated glomerular filtration rate ; predictive equation

Sažetak
Chronic kidney disease (CKD) is a significant public health problem and it is not possible to precisely predict its progression to terminal renal failure. According to current guidelines, CKD stages are classified based on the estimated glomerular filtration rate (eGFR) and albuminuria. Aims of this study were to determine the reliability of predictive equation in estimation of CKD prevalence in Croatian areas with endemic nephropathy (EN), compare the results with non- endemic areas, and to determine if the prevalence of CKD stages 3-5 was increased in subjects with EN. A total of 1573 inhabitants of the Croatian Posavina rural area from 6 endemic and 3 non- endemic villages were enrolled. Participants were classified according to the modified criteria of the World Health Organization for EN. Estimated GFR was calculated using Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI). The results showed a very high CKD prevalence in the Croatian rural area (19%). CKD prevalence was significantly higher in EN then in non EN villages with the lowest eGFR value in diseased subgroup. eGFR correlated significantly with the diagnosis of EN. Kidney function assessment using CKD-EPI predictive equation proved to be a good marker in differentiating the study subgroups, remained as one of the diagnostic criteria for EN.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)



POVEZANOST RADA


Ustanove:
Hrvatski zavod za javno zdravstvo,
Medicinski fakultet, Zagreb,
Opća bolnica "Dr. Josip Benčević",
Klinički bolnički centar Zagreb,
Fakultet za dentalnu medicinu i zdravstvo, Osijek

Citiraj ovu publikaciju:

Fuček, Mirjana; Dika, Živka; Karanović, Sandra; Vuković Brinar, Ivana; Premužić, Vedran; Kos, Jelena; Cvitković, Ante; Mišić, Maja; Samardžić, Josip; Rogić, Dunja; Jelaković, Bojan
Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area // Biochemia Medica, 28 (2018), 1; 010701, 8 doi:10.11613/BM.2018.010701 (međunarodna recenzija, članak, znanstveni)
Fuček, M., Dika, Ž., Karanović, S., Vuković Brinar, I., Premužić, V., Kos, J., Cvitković, A., Mišić, M., Samardžić, J., Rogić, D. & Jelaković, B. (2018) Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area. Biochemia Medica, 28 (1), 010701, 8 doi:10.11613/BM.2018.010701.
@article{article, author = {Fu\v{c}ek, Mirjana and Dika, \v{Z}ivka and Karanovi\'{c}, Sandra and Vukovi\'{c} Brinar, Ivana and Premu\v{z}i\'{c}, Vedran and Kos, Jelena and Cvitkovi\'{c}, Ante and Mi\v{s}i\'{c}, Maja and Samard\v{z}i\'{c}, Josip and Rogi\'{c}, Dunja and Jelakovi\'{c}, Bojan}, year = {2018}, pages = {8}, DOI = {10.11613/BM.2018.010701}, chapter = {010701}, keywords = {chronic kidney disease, endemic nephropathy, estimated glomerular filtration rate, predictive equation}, journal = {Biochemia Medica}, doi = {10.11613/BM.2018.010701}, volume = {28}, number = {1}, issn = {1330-0962}, title = {Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area}, keyword = {chronic kidney disease, endemic nephropathy, estimated glomerular filtration rate, predictive equation}, chapternumber = {010701} }
@article{article, author = {Fu\v{c}ek, Mirjana and Dika, \v{Z}ivka and Karanovi\'{c}, Sandra and Vukovi\'{c} Brinar, Ivana and Premu\v{z}i\'{c}, Vedran and Kos, Jelena and Cvitkovi\'{c}, Ante and Mi\v{s}i\'{c}, Maja and Samard\v{z}i\'{c}, Josip and Rogi\'{c}, Dunja and Jelakovi\'{c}, Bojan}, year = {2018}, pages = {8}, DOI = {10.11613/BM.2018.010701}, chapter = {010701}, keywords = {chronic kidney disease, endemic nephropathy, estimated glomerular filtration rate, predictive equation}, journal = {Biochemia Medica}, doi = {10.11613/BM.2018.010701}, volume = {28}, number = {1}, issn = {1330-0962}, title = {Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area}, keyword = {chronic kidney disease, endemic nephropathy, estimated glomerular filtration rate, predictive equation}, chapternumber = {010701} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • EMBASE (Excerpta Medica)
  • COPE
  • EASE
  • Creative Cpommons
  • Crossref
  • EBSCO/Academic Search Complete
  • ICMJE
  • JCR/Science Edition
  • ScienceCentral


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