Chinese Medical Sciences Journal ›› 2017, Vol. 32 ›› Issue (3): 145-151.doi: 10.24920/J1001-9294.2017.021
• Original Article • Previous Articles Next Articles
Chen Zhen-jie, Li Hang, Cai Jian-fang, Zhang Xin, Li Chao, Zou Pei-mei, Li Ming-xi, Chen Li-meng, Li Xue-mei, Li Xue-wang*(), Wen Yu-bing
Received:
2016-10-06
Published:
2017-09-27
Online:
2017-09-27
Contact:
Li Xue-wang
E-mail:xuewanglee@126.com
Chen Zhen-jie, Li Hang, Cai Jian-fang, Zhang Xin, Li Chao, Zou Pei-mei, Li Ming-xi, Chen Li-meng, Li Xue-mei, Li Xue-wang, Wen Yu-bing. The Neglected Significance of Glomerular Density as a 5-year Progression Indicator for IgA Nephropathy△[J].Chinese Medical Sciences Journal, 2017, 32(3): 145-151.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
Table 1
Comparisons of baseline characteristics between the group containing the first tertile and the group containing the last two tertiles of glomerular density at the time of biopsy in patients with IgA nephropathy"
Characteristics | All patients | Glomerular density | t value | P value | |
---|---|---|---|---|---|
≤2.18/mm2 | >2.18/mm2 | ||||
n Age§ (yrs) | 173 | 58 | 115 | ||
36.2 ± 9.9 | 36.6 ± 9.3 | 36.0±10.3 | –0.25 | 0.001 | |
Male [n (%)] | 74 (42.8) | 25 (43.1) | 49 (42.6) | 0.54 | |
Diabetes [n (%)] | 15 (8.7) | 3 (5.2) | 12 (10.4) | 0.19 | |
Hypertension [n (%)] | 71 (41.0) | 31 (53.4) | 40 (34.8) | 0.014 | |
Body mass index§ (kg/m2) | 24.5 ± 3.9 | 24.3 ± 3.6 | 24.5 ± 4.1 | –0.12 | 0.75 |
Mean arterial pressure§ (mm Hg) | 96.0 ± 13.3 | 98.4 ± 14.2 | 94.8 ± 12.6 | 2.17 | 0.09 |
Proteinuria [g/d, median (Q1, Q3)] | 2.0 (0.9, 4.0) | 2.2 (1.0, 3.8) | 2.0 (0.9, 4.0) | 0.94 | |
eGFR§ (ml/min per 1.73 m2) | 80.0 ± 25.4 | 67.9 ± 22.0 | 86.0 ± 24.9 | –4.73 | <0.001 |
Serum creatinine§ (μmol/L) | 100.3 ± 39.8 | 113.0 ± 39.0 | 89.8 ± 27.8 | 3.99 | <0.001 |
Uric acid§ (μmol/L) | 361.0 ± 109.2 | 405.8 ± 114.2 | 338.3 ± 99.6 | 5.08 | <0.001 |
Total cholesterol [mmol/L, median (Q1, Q3)] | 5.6 (4.7, 6.7) | 5.6 (4.7, 6.6) | 5.5 (4.7, 6.8) | 0.94 | |
Triglycerides§ (mmol/L) | 2.2 ± 1.2 | 2.1 ± 1.2 | 2.2 ± 1.2 | –0.33 | 0.48 |
Pathological variables | |||||
Glomerular density§ (per mm2) | 2.7 ± 1.1 | 1.5 ± 0.4 | 3.3 ± 0.9 | –8.21 | <0.001 |
Global glomerulosclerosis§ (%) | 26.1 ± 18.4 | 40.8 ± 18.8 | 18.6 ± 13.0 | 8.19 | <0.001 |
Maximal glomerular diameter§ (μm) | 216.3 ± 25.8 | 224.1 ± 22.6 | 212.4 ± 26.4 | 2.57 | 0.004 |
M1 [n (%)] | 102 (59.0) | 35 (60.3) | 67 (58.3) | 0.46 | |
E1 [n (%)] | 52 (30.1) | 15 (25.9) | 37 (32.2) | 0.25 | |
S1 [n (%)] | 163 (94.2) | 56 (96.6) | 107 (93.0) | 0.29 | |
T1 [n (%)] | 58 (33.5) | 21 (36.2) | 37 (32.2) | 0.36 | |
T2 [n (%)] | 17 (9.8) | 14 (24.1) | 3 (2.6) | <0.001 |
Table 2
Results of Cox regression analysis for the risk of a 30% of decline in eGFR by using glomerular density and other variables in the patients with IgA nephropathy ([hazard ratio (95% CI)]"
Characteristics | Unadjusted | Model 1 | Model 2 | Model 3 | Model 4 |
---|---|---|---|---|---|
Glomerular density (per mm2) | |||||
>2.18/mm2 | 1.0 (Ref) | 1.0 (Ref) | 1.0 (Ref) | 1.0 (Ref) | 1.0 (Ref) |
≤2.18/mm2 | 12.41 (4.26, 36.18) | 14.05 (4.79, 41.21) | 13.14 (4.08, 42.39) | 10.80 (3.03, 8.45) | 7.21 (1.82, 28.52) |
Age | 0.94 (0.90, 0.99) | 0.92 (0.87, 0.98) | 0.93 (0.88, 1.00) | 0.94 (0.89, 1.00) | |
Gender | 1.49 (0.66, 3.34) | 2.18 (0.85, 5.57) | 2.11 (0.80, 5.58) | 2.14 (0.81, 5.66) | |
Hypertension | 0.80 (0.33, 1.80) | 0.85 (0.32, 2.31) | 0.90 (0.34, 2.38) | ||
Proteinuria | 1.12 (0.95 ,1.32) | 1.09 (0.89, 1.34) | 1.13 (0.91, 1.40) | ||
eGFR | 0.98 (0.96, 1.00) | 0.99 (0.97, 1.01) | 0.99 (0.97, 1.02) | ||
Corticosteroids | 4.38 (1.23, 15.53) | 4.33 (1.07, 17.46) | 6.16 (0.40, 27.11) | ||
RAS blockers | 0.65 (0.08, 5.53) | 0.64 (0.07, 6.21) | 0.84 (0.08, 8.76) | ||
Immunosuppressive agents | 2.27 (0.79, 6.55) | 2.18 (0.70, 6.74) | 2.08 (0.66, 6.57) | ||
M1 | 1.07 (0.42, 2.73) | 1.13 (0.44, 2.94) | |||
E1 | 1.03 (0.40, 2.69) | 1.19 (0.45, 3.20) | |||
S1 | 0.87 (0.08, 9.98) | 0.80 (0.07, 9.75) | |||
T1-2 | 1.02 (0.98, 1.06) | 1.01 (0.97, 1.05) | |||
Maximal glomerular diameter | 1.00 (0.98, 1.03) | 1.01 (0.99, 1.03) | |||
Global glomerulosclerosis percent | 1.02 (1.00, 1.06) |
Figure 1.
Receiver-operating characteristic curve for C-statistic in four different Cox models predicting the risk for eGFR decline in the patients with IgA nephropathy. The model with only clinical parameters included eGFR, mean arterial pressure over time, and proteinuria over time. The model with both clinical and pathological parameters included these clinical parameters, relative amount of segmental glomerul- osclerosis, tubular atrophy/interstitial fibrosis ≥26%, and glomerular density."
Table 3
Comparison of baseline characteristics of patients (n=22) with eGFR of 30 to 60 ml/min per 1.73 m2 at biopsy between the lower and the higher glomerular density group"
Characteristics | Glomerular density | t value | P value | |
---|---|---|---|---|
≤1.99/mm2 | >1.99/mm2 | |||
Age§ (yrs) | 33.8±9.2 | 41.7±10.4 | -2.66 | 0.01 |
Male [n (%)] | 10 (45.5) | 10 (45.5) | 1.00 | |
Body mass index§ (kg/m2) | 23.3±3.6 | 25.4±4.4 | -1.74 | 0.09 |
Mean arterial pressure§ (mm Hg) | 99.6±14.4 | 98.2±10.9 | 0.36 | 0.72 |
Proteinuria§ (g/d) | 3.9±2.9 | 2.7±2.5 | 1.51 | 0.14 |
eGFR§ (ml/min per 1.73 m2) | 46.8±7.8 | 51.2±9.0 | -1.72 | 0.09 |
Uric acid§ (μmol/L) | 460.5±84.4 | 408.2±91.2 | 1.98 | 0.06 |
Total cholesterol§ (mmol/L) | 6.3±1.6 | 5.7±1.5 | 1.37 | 0.18 |
Triglycerides§ (mmol/L) | 2.3±1.3 | 2.6±1.2 | -0.72 | 0.47 |
Pathological variables | ||||
Maximal glomerular diameter§ (μm) | 224.8±26.9 | 211.8±19.8 | 1.61 | 0.08 |
M1 [n (%)] | 14 (63.6) | 9 (40.9) | 0.13 | |
E1 [n (%)] | 8 (36.4) | 7 (31.8) | 0.75 | |
S1 [n (%)] | 22 (100.0) | 21 (95.5) | 0.31 | |
T1 [n (%)] | 11 (50.0) | 10 (45.5) | 0.76 | |
T2 [n (%)] | 6 (27.3) | 5 (22.7) | 0.73 |
1. | Wyatt RJ, Julian BA.IgA nephropathy. N Engl J Med 2013; 368(25):2402-14. doi: 10.1056/NEJMra1206793. |
2. | Elsherbiny HE, Alexander MP, Kremers WK, Park WD, Poggio ED, Prieto M, et al.Nephron hypertrophy and glomerulosclerosis and their association with kidney function and risk factors among living kidney donors. Clin J Am Soc Nephrol 2014; 9(11):1892-902. doi: 10.2215/ CJN.02560314. |
3. | Tsuboi N, Kawamura T, Koike K, Okonogi H, Hirano K, Hamaguchi A, et al.Glomerular density in renal biopsy specimens predicts the long-term prognosis of IgA nephropathy. Clin J Am Soc Nephrol 2010; 5(1):39-44. doi: 10.2215/CJN.04680709. |
4. | Hewitson TD, Darby IA, Bisucci T, Jones CL, Becker GJ.Evolution of tubulointerstitial fibrosis in experimental renal infection and scarring. J Am Soc Nephrol 1998; 9(4):632-42. |
5. | Le W, Liang S, Hu Y, Deng K, Bao H, Zeng C, et al.Long-term renal survival and related risk factors in patients with IgA nephropathy: results from a cohort of 1155 cases in a Chinese adult population. Nephrol Dial Transplant 2012; 27(4):1479-85. doi: 10.1093/ndt/gfr527. |
6. | Coppo R, Troyanov S, Bellur S, Cattran D, Cook HT, Feehally J, et al.Validation of the Oxford classification of IgA nephropathy cohorts with different presentations and treatments. Kidney Int 2014; 86(4):828-36. doi: 10. 1038/ki.2014.63. |
7. | Sarcina C, Tinelli C, Ferrario F, Visciano B, Pani A, De Silvestri A, et al.Corticosteroid treatment influences TA-proteinuria and renal survival in IgA nephropathy. PLoS One 2016; 11(7):e0158584. doi: 10.1371/journal.pone. 0158584. |
8. | Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150(9): 604-12. doi: 10.7326/0003-4819-150-9-200905050-00006. |
9. | Coresh J, Turin TC, Matsushita K, Sang Y, Ballew SH, Appel LJ, et al.Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA 2014; 311(24):2518-31. doi: 10.1001/ jama.2014.6634. |
10. | Levey AS, Inker LA, Matsushita K, Greene T, Willis K, Lewis E, et al.GFR decline as an end point for clinical trials in CKD: a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration. Am J Kidney Dis 2014; 64(6):821-35. doi: 10.1053/j.ajkd.2014.07.030. |
11. | Working Group of the International IgA Nephropathy Network and the Renal Pathology Society, Cattran DC, Coppo R, Cook HT, Feehally J, Roberts IS, et al. The Oxford classification of IgA nephropathy: rationale, clinicopathological correlations, and classification. Kidney Int 2009; 76(5):534-45. doi: 10.1038/ki.2009.243. |
12. | Trimarchi H, Barratt J, Cattran DC, Cook HT4, Coppo R, Haas M, et al. Oxford classification of IgA nephropathy 2016: an update from the IgA nephropathy classification working group. Kidney Int 2017; 91(5):1014-21. doi: 10.1016/j.kint.2017.02.003. |
13. | Hoy WE, Bertram JF, Hughson MD.Nephron hypertrophy and glomerulosclerosis in normal donor kidneys. Clin J Am Soc Nephrol 2014; 9(11):1832-4. doi: 10.2215/CJN. 08680814. |
14. | Luyckx VA, Brenner BM.Birth weight, malnutrition and kidney-associated outcomes—a global concern. Nat Rev Nephrol 2015; 11(3):135-49. doi: 10.1038/nrneph.2014.251. |
15. | Koike K, Ikezumi Y, Tsuboi N, Kanzaki G, Haruhara K, Okabayashi Y, et al.Glomerular density and volume in renal biopsy specimens of children with proteinuria relative to preterm birth and gestational age. Clin J Am Soc Nephrol 2017; 12(4):585-90. doi: 10.2215/CJN.05650516. |
16. | Haruhara K, Tsuboi N, Kanzaki G, Koike K, Suyama M, Shimizu A, et al.Glomerular density in biopsy-proven hypertensive nephrosclerosis. Am J Hypertens 2015; 28(9): 1164-71. doi: 10.1093/ajh/hpu267. |
17. | Nyengaard J, Bendtsen T.Glomerular number and size in relation to age, kidney weight, and body surface in normal man. Anat Rec 1992; 232(2):194-201. doi: 10.1002/ar.1092320205. |
18. | Tsuboi N, Utsunomiya Y, Kanzaki G, Koike K, Ikegami M, Kawamura T, et al.Low glomerular density with glomerulomegaly in obesity-related glomerulopathy. Clin J Am Soc Nephrol 2012; 7(5):735-41. doi: 10.2215/CJN.07270711. |
19. | Koike K, Tsuboi N, Utsunomiya Y, Kawamura T, Hosoya T.Glomerular density-associated changes in clinicopathological features of minimal change nephrotic syndrome in adults. Am J Nephrol 2011; 34(6):542-8. doi: 10.1159/ 000334360. |
20. | Radhakrishnan J, Cattran DC.The KDIGO practice guideline on glomerulonephritis: reading between the (guide) lines—application to the individual patient. Kidney Int 2012; 82(8):840-56. doi: 10.1038/ki.2012.280. |
21. | Tesar V1, Troyanov S, Bellur S, Verhave JC, Cook HT, Feehally J, et al. Corticosteroids in IgA nephropathy: a retrospective analysis from the VALIGA study. J Am Soc Nephrol 2015; 26(9):2248-58. doi: 10.1681/ASN.20140 70697. |
22. | Rauen T, Eitner F, Fitzner C, Sommerer C, Zeier M, Otte B, et al.Intensive supportive care plus immunosuppression in IgA nephropathy. N Engl J Med 2015; 373(23): 2225-36. doi: 10.1056/NEJMoa1415463. |
[1] | Li-xian Sun, Wen-ling Ye, Yu-bing Wen, Xue-mei Li. Postpartum Atypical Hemolytic Uremic Syndrome: an Unusual and Severe Complication Associated with IgA Nephropathy [J]. Chinese Medical Sciences Journal, 2015, 30(3): 189-192. |
[2] | Rong-rong Li, Hang Li, Yu-bin Wen, Qing-yuan Huang, Lin Duan, Yan Li. Clinicopathological Analysis of 155 Patients with Persistent Isolated Hematuria [J]. Chinese Medical Sciences Journal, 2014, 29(3): 148-155. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|
Supervised by National Health Commission of the People's Republic of China
9 Dongdan Santiao, Dongcheng district, Beijing, 100730 China
Tel: 86-10-65105897 Fax:86-10-65133074
E-mail: cmsj@cams.cn www.cmsj.cams.cn
Copyright © 2018 Chinese Academy of Medical Sciences
All right reserved.
京公安备110402430088 京ICP备06002729号-1