Distribution of cardiovascular disease and retinopathy in patients with type 2 diabetes according to different classification systems for chronic kidney disease: a cross-sectional analysis of the renal insufficiency and cardiovascular events (RIACE) Italian multicenter study

Giuseppe Pugliese, Anna Solini, Enzo Bonora, Emanuela Orsi, Gianpaolo Zerbini, Cecilia Fondelli, Gabriella Gruden, Franco Cavalot, Olga Lamacchia, Roberto Trevisan, Monica Vedovato, Giuseppe Penno, RIACE Study Group, Giuseppe Pugliese, Giuseppe Penno, Anna Solini, Enzo Bonora, Emanuela Orsi, Roberto Trevisan, Luigi Laviola, Antonio Nicolucci, Giuseppe Pugliese, Salvatore De Cosmo, Gabriella Gruden, Susanna Morano, Giuseppe Penno, Francesco Pugliese, Giampaolo Zerbini, Luigi Laviola, Anna Solini, Roberto Trevisan, Giuseppe Pugliese, Laura Salvi, Lucilla Bollanti, Alessandra Bazuro, Paolo Cavallo-Perin, Gabriella Gruden, Bartolomeo Lorenzati, Mariella Trovati, Giovanni Anfossi, Franco Cavalot, Massimo Chirio, Giampaolo Zerbini, Valentina Martina, Silvia Maestroni, Emanuela Orsi, Laura Montefusco, Dario Zimbalatti, Antonio Pontiroli, Annamaria Veronelli, Barbara Zecchini, Maura Arosio, Alessia Dolci, Roberto Trevisan, Anna Corsi, Enzo Bonora, Giacomo Zoppini, Angelo Avogaro, Monica Vedovato, Elisa Pagnin, Giuseppe Penno, Laura Pucci, Daniela Lucchesi, Eleonora Russo, Monia Garofolo, Anna Solini, Francesco Dotta, Cecilia Fondelli, Laura Nigi, Susanna Morano, Alessandra Gatti, Raffaella Buzzetti, Chiara Foffi, Mauro Cignarelli, Olga Lamacchia, Sabina Pinnelli, Lucia Monaco, Francesco Giorgino, Luigi Laviola, Sebastio Perrini, Giorgio Sesti, Francesco Andreozzi, Marco Giorgio Baroni, Giuseppina Frau, Giuseppe Pugliese, Anna Solini, Enzo Bonora, Emanuela Orsi, Gianpaolo Zerbini, Cecilia Fondelli, Gabriella Gruden, Franco Cavalot, Olga Lamacchia, Roberto Trevisan, Monica Vedovato, Giuseppe Penno, RIACE Study Group, Giuseppe Pugliese, Giuseppe Penno, Anna Solini, Enzo Bonora, Emanuela Orsi, Roberto Trevisan, Luigi Laviola, Antonio Nicolucci, Giuseppe Pugliese, Salvatore De Cosmo, Gabriella Gruden, Susanna Morano, Giuseppe Penno, Francesco Pugliese, Giampaolo Zerbini, Luigi Laviola, Anna Solini, Roberto Trevisan, Giuseppe Pugliese, Laura Salvi, Lucilla Bollanti, Alessandra Bazuro, Paolo Cavallo-Perin, Gabriella Gruden, Bartolomeo Lorenzati, Mariella Trovati, Giovanni Anfossi, Franco Cavalot, Massimo Chirio, Giampaolo Zerbini, Valentina Martina, Silvia Maestroni, Emanuela Orsi, Laura Montefusco, Dario Zimbalatti, Antonio Pontiroli, Annamaria Veronelli, Barbara Zecchini, Maura Arosio, Alessia Dolci, Roberto Trevisan, Anna Corsi, Enzo Bonora, Giacomo Zoppini, Angelo Avogaro, Monica Vedovato, Elisa Pagnin, Giuseppe Penno, Laura Pucci, Daniela Lucchesi, Eleonora Russo, Monia Garofolo, Anna Solini, Francesco Dotta, Cecilia Fondelli, Laura Nigi, Susanna Morano, Alessandra Gatti, Raffaella Buzzetti, Chiara Foffi, Mauro Cignarelli, Olga Lamacchia, Sabina Pinnelli, Lucia Monaco, Francesco Giorgino, Luigi Laviola, Sebastio Perrini, Giorgio Sesti, Francesco Andreozzi, Marco Giorgio Baroni, Giuseppina Frau

Abstract

Background: The National Kidney Foundation's Kidney Disease Outcomes Quality Initiative (NKF's KDOQI) staging system for chronic kidney disease (CKD) is based primarily on estimated GFR (eGFR). This study aimed at assessing whether reclassification of subjects with type 2 diabetes using two recent classifications based on both eGFR and albuminuria, the Alberta Kidney Disease Network (AKDN) and the Kidney Disease: Improving Global Outcomes (KDIGO), provides a better definition of burden from cardiovascular disease (CVD) and diabetic retinopathy (DR) than the NKF's KDOQI classification.

Methods: This is a cross-sectional analysis of patients with type 2 diabetes (n = 15,773) from the Renal Insufficiency And Cardiovascular Events Italian Multicenter Study, consecutively visiting 19 Diabetes Clinics throughout Italy in years 2007-2008. Exclusion criteria were dialysis or renal transplantation. CKD was defined based on eGFR, as calculated from serum creatinine by the simplified Modification of Diet in Renal Disease Study equation, and albuminuria, as measured by immunonephelometry or immunoturbidimetry. DR was assessed by dilated fundoscopy. Prevalent CVD, total and by vascular bed, was assessed from medical history by recording previous documented major acute events.

Results: Though prevalence of complications increased with increasing CKD severity with all three classifications, it differed significantly between NKF's KDOQI stages and AKDN or KDIGO risk categories. The AKDN and KDIGO systems resulted in appropriate reclassification of uncomplicated patients in the lowest risk categories and a more graded independent association with CVD and DR than the NKF's KDOQI classification. However, CVD, but not DR prevalence was higher in the lowest risk categories of the new classifications than in the lowest stages of the NKF's KDOQI, due to the inclusion of subjects with reduced eGFR without albuminuria. CVD prevalence differed also among eGFR and albuminuria categories grouped into AKDN and KDIGO risk category 1 and moderate, respectively, and to a lesser extent into higher risk categories.

Conclusions: Though the new systems perform better than the NKF's KDOQI in grading complications and identifying diabetic subjects without complications, they might underestimate CVD burden in patients assigned to lower risk categories and should be tested in large prospective studies.

Trial registration: ClinicalTrials.gov; NCT00715481.

Figures

Figure 1
Figure 1
NFK’s KDOQI, AKDN risk category, and KDIGO CKD classification systems. NFK’s KDOQI classification: stage 0 (green), 1 (yellow), 2 (orange), 3 (red), 4 (brown), and 5 (blue); AKDN alternate system: risk category 0 (green), 1 (yellow), 2 (orange), 3 (red), and 4 (brown); KDIGO classification: risk category low (green), moderate (yellow), high (orange), and very high (red).
Figure 2
Figure 2
Cases (% of total, A) and prevalence (% of cases, number of subjects on top of columns) of any CVD (B) and non-advanced (C) and advanced (D) DR according to CKD NFK’s KDOQI stage (left), AKDN risk category (middle), and KDIGO risk category (right). NFK’s KDOQI classification: stage 0 (green), 1 (yellow), 2 (orange), 3 (red), 4 (brown), and 5 (blue); AKDN alternate system: risk category 0 (green), 1 (yellow), 2 (orange), 3 (red), and 4 (brown); KDIGO classification: risk category low (green), moderate (yellow), high (orange), and very high (red).
Figure 3
Figure 3
Prevalence (% of cases, number of subjects on top of columns) of any coronary event (A), AMI (B), any cerebrovascular event (C), stroke (D), any peripheral event (E), and ulcer/gangrene (F) according to CKD NFK’s KDOQI stage (left), AKDN risk category (middle), and KDIGO risk category (right). NFK’s KDOQI classification: stage 0 (green), 1 (yellow), 2 (orange), 3 (red), 4 (brown), and 5 (blue); AKDN alternate system: risk category 0 (green), 1 (yellow), 2 (orange), 3 (red), and 4 (brown); KDIGO classification: risk category low (green), moderate (yellow), high (orange), and very high (red).
Figure 4
Figure 4
Independent* relation of any CVD, any coronary event, AMI, any cerebrovascular event, stroke, any peripheral event, ulcer/gangrene, and non-advanced and advanced DR with CKD NKF’s KDOQI stages, and AKDN and KDIGO risk categories. * Confounders: age, gender, smoking habits, diabetes duration, HbA1c, anti-hyperglycemic treatment, triglycerides, HDL cholesterol, dyslipidemia, and hypertension. The green lines indicate the reference categories (i.e. no CKD stage, risk category 0 and risk category low for NKF’s KDOQI, AKDN, and KDIGO classifications, respectively). * P<0.0001.

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Source: PubMed

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