Patients and method: it was a retrospective and analytical study, conducted over a period of 10 years from 01 January 2007 to 31 December 2016 in the nephrology department of Aristide Le Dantec Hospital in Dakar. Histological parameters were crossed over with demographic, clinical and biological data to search for clinicobiological and histological correlation.
Results: In a total of 93 black patients with lupus, 64 were included, giving a hospital prevalence of 69%. The mean age of the patients was 31.97 ± 10.44 years old. There were 81% women and 19% men with a sex ratio of 0.23. The existence of hypertension and renal failure was correlated with the presence of a proliferative class. Interstitial fibrosis was correlated with renal failure. A statistically significant correlation was found between the presence of interstitial infiltration and the existence of renal failure and leukocyturia. Fibrous endarteritis was correlated with renal failure and hypertension. Arteriosclerosis was associated with hypertension. Bproliferative classes, interstitial fibrosis, interstitial infiltration and chronic vascular lesions were correlated with severe clinicobiological manifestations. Multicentric studies are needed to support these results.
Keywords: Correlation; Anatomoclinical; Lupus nephritis; Senegal;
To our knowledge, no study has been done on the clinicohistological correlation in patients with lupus nephritis in a nephrology department in Senegal. This study was conducted to look for clinico-histological correlation during lupus nephritis.
The data entry was made using the software “The sphinx” version 5.1.0.2
The analysis of the data was done using SPSS (Statistical Package for Social Science) software version 18. The averages and percentages were compared using the Student’s test and the Chi-square test, and the exact test of Fischer, according to their conditions of applicability.
Any difference below 0.05 was considered statistically significant.
|
Proliferative class |
Without proliferative class |
P |
Age Sex-ratio Hypertension Mean serum creatinine Renal insufficiency Anemia Lymphopenia C3 Hypocomplementemia CH50 Hypocomplementemia Anti-ENA antibodies Anti-dsDNA antibodies Mean proteinuria Nephrotic syndrome Microscopic hematuria Leukocyturia
|
31.19±8.1 11M/33F 21cas (47.72%) 22.3±12.5 20 cas (45.45%) 39 cas (88.63%) 7 cas (15.90%) 2 cas (4.54%) 2 cas (4.54%) 17 cas (38.63%) 8 cas (18.18%) 3.55±2.7 24 cas (54.54%) 17 cas (38.63%) 15 cas (34.09%) |
30.7±7.4 1M/19F 1 cas (5%) 12±6.9 2 cas (10%) 15 cas (75%) 1 cas (5%) 0 cas (0%) 0 cas (0%) 8 cas (40%) 2 cas (10%) 1.86±1.78 11 cas (55%) 6 cas (30%) 5 cas (20%) |
0.74 0.28 0.02 0.16 0.04 0.66 0.58 0.81 0.81 0.09 0.07 0.38 0.08 0.09 0.83 |
|
Fibrous interstitial |
Without Fibrous interstitial |
P |
Age Sex-ratio Hypertension Mean serum creatinine Renal insufficiency Anemia Lymphopenia C3 Hypocomplementemia CH50 Hypocomplementemia Anti-ENA antibodies Anti-dsDNA antibodies Mean proteinuria Nephrotic syndrome Microscopic hematuria Leukocyturia |
34.01±8.31 5M/14F 4 cas (21.05%) 22.61±11.64 15 cas (78.94%) 17 cas (89.47%) 3 cas (15.78%) 2 cas (10.52%) 2 cas (10.52%) 8 cas (42.10%) 3 cas (15.78%) 3.24±2.15 11 cas (57.75%) 5 cas (26.31%) 6 cas (31.57%) |
31.81±9.75 7M/38F 18 cas (40%) 19.51±9.55 7 cas (15.55%) 37 cas (82.22%) 5 cas (11.11%) 0 cas (0%) 0 cas (0%) 17 cas (37.78%) 7 cas (15.55%) 3,65±2.94 24 cas (53.33%) 18 cas (40%) 14 cas (31.11%) |
0.53 0.63 0.15 0.08 0.04 0.11 0.23 0.09 0.09 0.41 0.45 0.32 0.18 0.24 0.33 |
|
Interstitial infiltration |
Without Interstitial infiltration |
P |
Age Sex-ratio Hypertension Mean serum creatinine Renal insufficiency Anemia Lymphopenia C3 Hypocomplementemia CH50 Hypocomplementemia Anti-ENA antibodies Anti-dsDNA antibodies Mean proteinuria Nephrotic syndrome Microscopic hematuria Leukocyturia |
33.21±6.14 2M/16F 5 cas (27.78%) 23.7±9.75 15 cas (83.33%) 15 cas (83.33%) 2 cas (11.11%) 0 cas (0%) 0 cas (0%) 4 cas (22.2%) 1 cas (5.55%) 2.94±2.41 8 cas (44.44%) 5 cas (27.78%) 16 cas (88.89%) |
30.51±7.81 10M/36F 17 cas (36.95%) 18.75±6.45 7cas (15.21 %) 39 cas (84.78%) 6 cas (13.04%) 2 cas (4.34%) 2 cas (4.34%) 21 cas (45.65%) 9 cas (19.56%) 3.25±2.81 27 cas (58.69%) 17 cas (36.95%) 4 cas (8.69%) |
0.47 0.98 0.22 0.10 0.03 0.87 0.25 0.59 0.59 0.87 0.16 0.21 0.40 0.37 0.02 |
|
Fibrous endarteritis |
Without fibrous endarteritis (n=44) |
P |
Age Sex-ratio Hypertension Mean serum creatinine Renal insufficiency Anemia Lymphopenia C3 Hypocomplementemia CH50 Hypocomplementemia Anti-ENA antibodies Anti-dsDNA antibodies Mean proteinuria Nephrotic syndrome Microscopic hematuria Leukocyturia |
34.24±7.35 3M/17F 14 cas (70%) 19.61±10.00 16 cas (80%) 15 cas (75%) 5 cas (25%) 1 cas (5%) 1 cas (5%) 11 cas (55%) 2 cas (10%) 2.84±2.66 10 cas (50%) 7 cas (35%) 7 cas (35%) |
32.01±6.54 9M/35F 8 cas (17.02%) 22.64±10.81 6 cas (13.63%) 39 cas (88.63%) 3 cas (6.81%) 1 cas (2.27%) 1 cas (2.27%) 14 cas (31.81%) 8 cas (18.18%) 3.41±2.71 25 cas (56.81%) 16 cas (36.36%) 13 cas (29.54%) |
0.59 0.62 0.03 0.13 0.02 0.49 0.97 0.22 0.22 0.86 0.71 0.62 0.14 0.85 0.36 |
|
Arteriosclerosis |
Without Arteriosclerosis |
P |
Age Sex-ratio Hypertension Mean serum creatinine Renal insufficiency Anemia Lymphopenia C3 Hypocomplementemia CH50 Hypocomplementemia Anti-ENA antibodies Anti-dsDNA antibodies Mean proteinuria Nephrotic syndrome Microscopic hematuria Leukocyturia |
34.24±6.31 2M/13F 14 cas (93.33%) 19.41±8.55 7 cas (46.66%) 12 cas (80.04%) 3 cas (20%) 1 cas (6.67%) 1 cas (6.67%) 5 cas (33.33%) 0 cas (0%) 2.72±2.11 8 cas (53.36%) 3 cas (20%) 3 cas (20%) |
31.71±8.95 10M/39F 8 cas (16.32%) 22.44±9.81 15 cas (30.61%) 42 cas (85.71%) 5 cas (10.20%) 1 cas (2.41%) 1 cas (2.04%) 20 cas (40.81%) 8 cas (16.32%) 3.61±3.15 27 cas (55.10%) 20 cas (40.81%) 17 cas (34.69%) |
0.07 0.36 0.01 0.48 0.65 0.59 0.87 0.29 0.29 0.69 0.95 0.28 0.15 0.85 0.69 |
Interstitial fibrosis was correlated with renal failure. This correlation of interstitial fibrosis with renal failure could be explained by the fact that it reflects a renal damage already evolved. A statistically significant correlation was found between the presence of interstitial infiltration and renal failure and leukocyturia. Gassongo-Koumou and Alsuwaida found a correlation between interstitial infiltration and renal failure [13, 14]. For Hsieh and Hill, interstitial infiltration is a histological parameter strongly correlated with serum creatinine [14]. In proliferative form, the presence of interstitial infiltration may have a significant effect on treatment response as well as renal prognosis [14]. Hsieh and Yu discovered that interstitial infiltration is a parameter that can predict renal survival [14]. All of this means that today the ISN / RNP classification needs to be updated to include tubulointerstitial lesions. It is also important to use immunohistochemistry to evaluate the degree of tubulointerstitial inflammation as it is better able to detect moderate or minimal tubulointerstitial inflammation than the usual hematoxylin-eosin staining techniques or with periodic acid Schiff [15]. In our series, we noted a high frequency of tubulointerstitial inflammation which suggests a possible participation of environmental factors such as herbal medicine but also genetic factors. Indeed, other studies have found a higher incidence of tubulointerstitial inflammation in Afro-americans [15, 16].
Fibrous endarteritis was correlated with the existence of hypertension and renal failure. Hypertension was associated with arteriosclerosis. This correlation of chronic vascular lesions with hypertension was found in other series by Gassongo-Koumou and Descombes [17, 18]. This correlation is explained by the fact that fibrous endarteritis and arteriosclerosis are repercussions renal hypertension. This makes hypertension a factor in the progression of kidney disease. Therefore, it is important to control the blood pressure by the antagonists of the renin angiotensin aldosterone system during lupus nephritis.
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