Literature DB >> 26155131

Relationship between hypoalbuminemia, hyperlipidemia and renal severity in patients with lupus nephritis: a prospective study.

Manshu Sui1, Xibei Jia1, Chengyuan Yu2, Xiaofang Guo1, Xiaogang Liu1, Ying Ji1, Suhong Mu1, Hongchi Wu1, Rujuan Xie1.   

Abstract

AIM OF THE STUDY: The purpose is to evaluate the relationship between hypoalbuminemia, hyperlipidemia, nephrotic and renal severity in patients with lupus nephritis.
MATERIAL AND METHODS: Autoantibodies and serological parameters were measured and analyzed in 429 patients with lupus nephritis in a single centre.
RESULTS: The prevalence for anti-dsDNA, anti-nucleosome and anti-histone was higher in the nephrotic syndrome (NS) patients than that in non-NS patients (p < 0.0001 for all comparisons). The NS patients had a higher proportion of diffuse proliferative renal lesions (69.05%) and membranous lesions (68.00%). Serum total cholesterol and albumin levels were associated with activity and severity of renal disease. The levels of proteinuria and serum albumin were positively correlated with activity and chronicity index (p < 0.001 for all correlations). The incidence of a poor renal outcome (p = 0.0461) in the NS patients was significantly increased. On the other hand, the remission rate (p = 0.0002) was significantly reduced and recurrence rate (p = 0.0027) was significantly increased in NS patients.
CONCLUSIONS: This paper highlights that nephrotic-range proteinuria, elevated total cholesterol level and decreased serum albumin levels may reflect the activity and severity of renal damage in SLE patients.

Entities:  

Keywords:  activity; hyperlipidemia; hypoalbuminemia; renal damage; systemic lupus erythematosus

Year:  2014        PMID: 26155131      PMCID: PMC4440014          DOI: 10.5114/ceji.2014.43730

Source DB:  PubMed          Journal:  Cent Eur J Immunol        ISSN: 1426-3912            Impact factor:   2.085


Introduction

Lupus nephritis (LN) is manifested in about 40-90% of all systemic lupus erythematosus (SLE) patients, and is associated with significant morbidity and a poor prognosis [1, 2]. Double-stranded DNA (dsDNA), nucleosome, histone, as well as more complex antigenic structures resulting from the assembly of histone and non-histone proteins with DNA [3] are recognized by both cellular and humoral constituents of the immune system in SLE patients with and without LN [4-6]. In active lupus renal disease, both the classic and the alternate pathways of the complement cascade are activated, and serum levels of C3 and C4 are often depressed [7, 8]. Moreover, the diverse renal pathologic findings in SLE present with a range of clinical renal syndromes, such as asymptomatic hematuria/proteinuria, nephrotic syndrome (NS), or nephritic syndrome. This may be accompanied by varying degrees of hypertension and renal dysfunction [9, 10]. Furthermore, higher creatinine, low complement levels, thrombocytopenia, anemia, hypertension, and proliferative glomerulonephritis are predictors of end-stage renal disease (ESRD) in LN within multiethnic cohorts [11-13]. The general characteristics of nephrotic syndrome, including heavy proteinuria, hypoalbuminemia, hyperlipidemia and edema, are well recognized. In patients with LN, the NS is generally associated with diffuse (WHO class IV) or membranous glomerulonephritis (WHO class V) [14]. Several reports showed that presence of nephrotic-range proteinuria is associated with poor renal outcomes [9, 11]. Furthermore, to determine whether an elevated serum total cholesterol level in a first-available sample obtained at a SLE clinic is associated with worse renal outcome and mortality in patients with SLE [11, 15]. Serum albumin reflects disease activity in SLE patients with nephritis [16]. Given this background, we hypothesized that nephrotic-range proteinuria, elevated total cholesterol level and decreased serum albumin levels may reflect the activity and severity of renal damage in patients with LN. Up to date, however, there have been no previous reports on the relationship between hypoalbuminemia, hyperlipidemia, nephrotic syndrome and exacerbation of renal disease with SLE in China or available data from a large cohort of lupus nephritis with SLE from previous studies due to its rarity. Including 429 LN patients, of which 214 were diagnosed with nephrotic syndrome, this large retrospective study aimed to analyze the clinical and pathological features and outcome of LN patients who had nephrotic syndrome with those who did not, and to investigate the association between the different pathologic phenotypes and the specific clinical manifestations of the nephrotic syndrome in a single center. Furthermore, major focus of the present research was to find nephrotic-range proteinuria, elevated total cholesterol level and decreased serum albumin levels may reflect the activity and severity of renal damage in LN patients, and the LN patients with NS are more likely to have poor renal outcome.

Material and methods

Patients

In this single-center retrospective study, 429 lupus patients with nephritis, diagnosed from 2002 to 2011 in Harbin Medical University First Hospital, were enrolled. All the patients fulfilled the 1997 American College of Rheumatology revised criteria for SLE [17]. The clinical and pathological data of the patients were retrospectively analyzed. Patients were divided into two groups based on the presence (the NS group) or absence (the non-NS group) of nephrotic syndrome. There were 214 lupus patients (192 females, 23 males; median 34 years, inter-quartile range 10-74 years) with evidence of nephrotic syndrome at baseline, defined as proteinuria, with protein ≥ 3.5 g/24 h, serum albumin level ≤ 30 g/l, and edema. The second group consisted of 215 lupus patients (201 females, 13 males; median 35 years, inter-quartile range 10-80 years) without clear evidence of nephrotic syndrome. No significant differences were found between the groups for the gender and age. The research was in compliance with the Declaration of Helsinki and approved by the ethics committee of Harbin Medical University First Hospital. Informed consent was obtained from each patient.

Laboratory and serological measures

24-hour urine protein excretion was measured by an immunoturbidimetry. Serum albumin (Alb), serum total cholesterol (TChol), serum total triglyceride (TG), serum creatinine (Scr) and blood urea nitrogen (BUN) concentration was determined by an automatic analyzer. In addition, autoantibodies were detected by the European Union immunoblot assay for all patients. Complement factor 3 (C3, normal range, 0.88 to 2.01 g/l) and complement factor 4 (C4, normal range, 0.10 to 0.47g/l) were determined by nephelometry.

Renal histopathology

Renal biopsy was performed in 150 of the 429 lupus patients with nephritis (75 NS and 75 non-NS patients). Renal specimens were evaluated using light and electron microscopy and direct immunofluorescence. For light microscopy, paraffin sections were stained with silver, periodic acid-Schiff, hematoxylin & eosin and trichrome and were forwarded to two pathologists. Renal histopathology was classified according to the World Health Organization and International Society of Nephrology/Renal Pathology Society as follows: 16 patients had class I lesions, 76 patients had class II lesions, 7 had class III lesions, 48 had class IV lesions, 30 had class V lesions and one patient had class VI lesions [18]. Pathological parameters such as the activity index (AI) and chronicity index (CI) were approached using a modification of the criteria proposed [19]. Activity index includes endocapillary hypercellularity, leukocyte infiltration, cellular crescents, karyorrhexis, fibrinoid necrosis, formation of wire-loop and interstitial inflammatory cell infiltration. CI includes glomerular sclerosis, fibrous crescents and interstitial fibrosis. Differences in scoring between the two pathologists were resolved by re-reviewing the biopsies and coming to a consensus. Renal treatment and outcome measures The patients were treated in accordance with clinical routine for LN [20]. The mainstay of induced therapy was prednisone (1 mg/kg per day) combined with cyclophosphamide (Cyc, 0.75 g/m2 per month). Patients with severe necrotizing crescentic glomerulonephritis and diffuse pulmonary alveolar hemorrhage were also treated with methylprednisone (MP, 7-15 mg/kg per day, 3 days) pulse therapy. For maintenance therapy, a low dose of prednisone combined with immunosuppressive drugs such as azathioprine and mycophenolate mofetil were administered. The remission of LN includes complete remission and partial remission. Complete remission was defined as urinary protein excretion < 0.3 g/day, normal urinary sediment (red blood cell < 3/HP, white blood cell < 5/HP), normal serum albumin and normal renal function. Partial remission was defined as having any one of the following items: decrease of Scr to < 130 µmol/l for patients with a baseline Scr level ≥ 130 µmol/l but ≤ 260 µmol/l; decrease of Scr by > 50% for patients with a baseline Scr level > 260 µmol/l; decrease of urinary protein excretion by > 50% and < 3.0 g/day, with a serum albumin level ≥ 30 g/l and stable renal function. A poor renal outcome was defined as doubling Scr values for a period of at least six months, with a minimum value of Scr of 176.8 µmol/l. Renal relapse is doubling of the lowest Scr observed so far and/or developing either NS while the lowest proteinuria had been < 2.0 g/day repeatedly, or proteinuria > 1.5 g/day without other causes in a patient who does not have proteinuria.

Statistical analyses

Differences of quantitative parameters between groups were assessed using the non-parametric test. Differences of qualitative data were compared using the χ2 test or Fisher exact test. The odds ratio (OR) was calculated for assessing the risk of appearance of each variable. A lower limit of the 95% confidence interval (CI) that exceeded 1.0 was taken to indicate statistical significance in the case of positive association and an upper limit lower than 1.0 in the case of negative association. The Spearman Correlation was used to analyze correlation. Analysis was performed with statistical software GraphPad Prism (version 5.0; GraphPad Software, Inc., San Diego, CA, USA). P < 0.05 is considered statistically significant.

Results

The nephrotic syndrome patients suffered more severe renal disease damage than non-nephrotic syndrome patients

To study the clinical characteristics of NS, the groups of NS (n = 214) and non-NS (n = 215) patients in the total of 429 LN patients were compared with respect to related clinical and serological parameters. First of all, the age and gender distribution was balanced between NS and non-NS groups (Table 1). The average levels of 24-hour urine protein excretion, urinary RBC, Scr and BUN was significantly higher in NS patients than those in non-NS patients (p < 0.001 for all comparisons), while the average levels of platelet (PLT), hemoglobin (HB), serum C3 and C4 were significantly lower in the NS group than those in the non- NS group (p < 0.0001 for all comparisons) (Table 1). No significant association was found between NS and other laboratory parameters (Table 1).
Table 1

Comparisons of clinical parameters between NS and non-NS patients with LN

IndexNS group (n = 214)Non-NS group (n = 215) p
Age (yr)35 (10-80)34 (10-74)0.9988
Female201 (93.93)192 (89.30)0.1161
Proteinuria (g/24 h)4.44 (0.95-16.08)0.97 (0.36-5.55) < 0.0001
Hematuria (n/hpf)9.13 (0-879.1)2.48 (0.07-195.2) < 0.0001
Scr (µmol/l)76.3 (31.8-665)64.3 (30.6-978) < 0.0001
BUN (mmol/l)7.45 (1.60-54.47)5.16 (2.00-47.66) < 0.0001
WBC (×109/l)4.23 (0.39-23.60)4.58 (1.02-30.40)0.1184
PLT (×109/l)86.25 (4.4-385.0)169.0 (2.00-584) < 0.0001
HB (g/l)90.50 (26.20-148)109 (32-181) < 0.0001
C3 (g/l)0.38 (0.06-1.55)0.58 (0.17-1.86) < 0.0001
C4 (g/l)0.07 (0.01-0.43)0.11 (0.01-0.63) < 0.0001
AI (out of 24)7 (1-18)5 (1-14) 0.0001
CI (out of 12)2 (0-8)1 (0-9) 0.0036

Data of 429 patients with LN. Values are shown as medians (IQR) or numbers (%)

NS – nephrotic syndrome; IQR – inter-quartile range. Scr – serum creatinine; BUN – blood urea nitrogen; TChol – total cholesterol; TG – total triglycerides; WBC – white blood cell count; PLT – platelet count; HB – hemoglobin; C3 – complement factor 3; C4 – complement factor 4 p < 0.05 indicates a difference; p < 0.01 indicates a significant difference.

Comparisons of clinical parameters between NS and non-NS patients with LN Data of 429 patients with LN. Values are shown as medians (IQR) or numbers (%) NSnephrotic syndrome; IQR – inter-quartile range. Scr – serum creatinine; BUN – blood urea nitrogen; TChol – total cholesterol; TG – total triglycerides; WBC – white blood cell count; PLT – platelet count; HB – hemoglobin; C3complement factor 3; C4complement factor 4 p < 0.05 indicates a difference; p < 0.01 indicates a significant difference.

Prevalence of three autoantibody reactivity in lupus nephritis patients with nephrotic syndrome

Table 2 summarizes the findings of the autoantibody profile in LN patients with/out NS. Significantly, prevalence of three out of the sixteen routinely tested antibodies in our center was observed in LN patients with NS as compared to those without NS. Of the 214 patients with NS, 73.83% (158) of anti-dsDNA (OR = 2.848, p < 0.0001), 67.29% (144) of anti-nucleosome (OR = 2.699, p < 0.0001) and 59.81% (128) of anti-histone (OR = 2.276, p < 0.0001) were positive. Positive rates of other tested autoantibodies such as anti-RNP, anti-Ro, anti-Sm and anti-centromere were not associated with NS in this group. Furthermore, the positive rates among the respective three antibodies including anti-dsDNA, anti-nucleosome and anti-histone in NS and non-NS patients with SLE were comparable (73.83%, 67.29% and 59.81% in NS group; 49.77%, 43.26% and 39.53% in non-NS group, Table 2).
Table 2

Prevalence of autoantibodies in patients with LN

AntibodiesNS (n = 214)Non-NS (n = 215) OR (95% CI) P
ANA206 (96.26)204 (94.88)1.388 (0.5471-3.524)0.6400
Anti-mitochondria25 (11.68)16 (7.44)1.645 (0.8516-3.178)0.1430
Anti-ribosome47 (21.96)63 (29.30)0.679 (0.4386-1.051)0.0971
Anti-histone128 (59.81)85 (39.53)2.276 (1.5460-3.351)< 0.0001
Anti-nucleosome144 (67.29)93 (43.26)2.699(1.822-3.998)< 0.0001
Anti-dsDNA158 (73.83)107 (49.77)2.848 (1.898-4.272)< 0.0001
Anti-PNCA7(3.27)4 (1.86)1.784 (0.5143-6.187)0.3808
Anti-centromere5 (2.34)5 (2.33)1.005 (0.2866-3.523)1.0000
Anti-Jo100undefinedundefined
Anti-PM-Scl3 (1.40)1 (0.47)3.043 (0.3138-29.50)0.3721
Anti-Scl704 (1.87)7 (3.26)0.566 (0.1632-1.963)0.5435
Anti-SSB37 (17.29)36 (16.74)1.039 (0.6280-1.720)0.8984
Anti-Ro52103 (48.13)102 (47.44)1.028 (0.7037-1.502)0.9231
Anti-SSA129 (60.28)124 (57.67)1.114 (0.7578-1.637)0.6239
Anti-Sm49 (22.90)49 (22.79)1.006 (0.6409-1.579)1.0000
Anti-RNP63 (29.44)80 (37.21)0.704 (0.4702-1.054)0.1013

Values are shown as numbers (%)

LN – lupus nephritis; NS – nephrotic syndrome; OR – odds ratio; ANA – antinuclear antibody; anti-dsDNA – anti-double-stranded DNA antibody; anti-PNCA – anti-proliferative cell nuclear antigen; anti-Sm – anti-Smith antibody; anti-SSA – anti-Sjögren's syndrome antigen A; anti-SSB – anti-Sjögren's syndrome antigen B; anti-RNP – anti-ribonucleoprotein; anti-RibP – anti-ribosomal P protein antibody Prevalence of three antibodies tested was significantly increased in LN patients with nephrotic syndrome as compared to patients without nephrotic syndrome p < 0.05 indicates a difference; p < 0.01 indicates a significant difference.

Prevalence of autoantibodies in patients with LN Values are shown as numbers (%) LN – lupus nephritis; NSnephrotic syndrome; OR – odds ratio; ANA – antinuclear antibody; anti-dsDNA – anti-double-stranded DNA antibody; anti-PNCA – anti-proliferative cell nuclear antigen; anti-Sm – anti-Smith antibody; anti-SSA – anti-Sjögren's syndrome antigen A; anti-SSB – anti-Sjögren's syndrome antigen B; anti-RNP – anti-ribonucleoprotein; anti-RibP – anti-ribosomal P protein antibody Prevalence of three antibodies tested was significantly increased in LN patients with nephrotic syndrome as compared to patients without nephrotic syndrome p < 0.05 indicates a difference; p < 0.01 indicates a significant difference.

Hypercholesterolemia and hypoproteinemia may reflect the activity and severity of renal damage in lupus nephritis patients with nephrotic syndrome

We further analyzed the clinical relevance of hypercholesterolemia and hypoproteinemia as a marker of the activity and severity of renal damage in 214 NS patients. Among these patients, hypercholesterolemia was significantly correlated with higher levels of proteinuria (p < 0.0001), Scr (p = 0.0330), BUN (p = 0.0021) and serum TG (p < 0.0001), while we also found that there was a significant correlation between hypercholesterolemia and lower levels of serum albumin (p < 0.0001) and C4 (p = 0.0449) (Table 3). However, no significant association was found between hypercholesterolemia and other laboratory parameters (Table 3). On the other hand, patients with serum albumin levels ≤ 20 g/l were younger (p = 0.0151) than patients with serum albumin levels > 20 g/l. Furthermore, we also found that there was a strong positive correlation between serum albumin levels and higher levels of proteinuria (p < 0.0001), serum TChol (p < 0.0001) and TG (p = 0.0007) (Table 4).
Table 3

Demographic and clinical features of patients with nephrotic syndrome according to the serum total cholesterol levels

IndexWith hypercholesterolemia (n = 87)Without hypercholesterolemia (n = 127) p
Age > 45 yr12 (24.04)27(21.26)0.2075
Female84(96.55)117(92.13)0.2483
Proteinuria > 6.0 g/24 h41 (41.38)22 (17.32)< 0.0001
Hematuria > 3 n/hpf58 (58.62)79 (62.20)0.5629
Scr > 133 µmol/l27 (31.03)23 (18.11)0.0330
BUN > 7.1 mmol/l56 (56.32)54 (42.52)0.0021
TG >1.71 mmol/l76 (75.86)77 (60.63)< 0.0001
Alb ≤ 20g/l41 (41.38)14 (11.02)< 0.0001
WBC < 4 ×109/l37 (42.53)67 (52.76)0.1645
PLT ≤ 100 ×109/l23 (26.44)48 (37.80)0.1039
HB ≤ 110 g/l64 (73.56)105 (82.68)0.1254
C3 ≤ 0.88g/l76 (87.36)117 (92.13)0.2540
C4 ≤ 0.10 g/l69 (79.31)84 (66.14)0.0449

Values are shown as numbers (%)

Alb – albumin; Scr – serum creatinine; BUN – blood urea nitrogen; TChol – total cholesterol; TG – total triglycerides; WBC – white blood cell count; PLT – platelet count; HB – hemoglobin; C3 – complement factor 3; C4 – complement factor 4 p < 0.05 indicates a difference; p < 0.01 indicates a significant difference

Table 4

Demographic and clinical features of patients with nephrotic syndrome according to the serum albumin levels

IndexSerum Alb ≤ 20 g/l (n = 57)Serum Alb > 20 g/l (n = 157) p
Age > 45 yr7 (12.28)41 (26.11)0.0151
Female53 (92.98)148 (94.27)0.7495
Proteinuria > 6.0 g/24h48 (84.21)16 (10.19) < 0.0001
Hematuria > 3 n/hpf42 (73.68)97(61.78)0.1442
Scr > 133 µmol/l14 (24.56)33 (21.02)0.5796
BUN > 7.1 mmol/l35 (61.40)75 (47.77)0.0897
TChol > 5.7 mmol/l44 (77.19)42 (26.75) < 0.0001
TG > 1.71 mmol/l50 (87.72)104 (66.24) < 0.0001
WBC < 4 ×109/l28 (49.12)72 (45.86)0.7570
PLT ≤ 100 ×109/l20 (35.09)56 (35.67)1.0000
HB ≤ 110 g/l41 (71.93)127 (80.89)0.1879
C3 ≤ 0.88g/l51 (89.47)141 (89.81)1.0000
C4 ≤ 0.10 g/l48 (84.21)119(75.80)0.1463

Values are shown as numbers (%)

Alb – albumin; Scr – serum creatinine; BUN – blood urea nitrogen; TChol – total cholesterol; TG – total triglycerides; WBC – white blood cell count; PLT – platelet count; HB – hemoglobin; C3 – complement factor 3; C4 – complement factor 4 p < 0.05 indicates a difference; p < 0.01 indicates a significant difference

Demographic and clinical features of patients with nephrotic syndrome according to the serum total cholesterol levels Values are shown as numbers (%) Albalbumin; Scr – serum creatinine; BUN – blood urea nitrogen; TChol – total cholesterol; TG – total triglycerides; WBC – white blood cell count; PLT – platelet count; HB – hemoglobin; C3complement factor 3; C4complement factor 4 p < 0.05 indicates a difference; p < 0.01 indicates a significant difference Demographic and clinical features of patients with nephrotic syndrome according to the serum albumin levels Values are shown as numbers (%) Albalbumin; Scr – serum creatinine; BUN – blood urea nitrogen; TChol – total cholesterol; TG – total triglycerides; WBC – white blood cell count; PLT – platelet count; HB – hemoglobin; C3complement factor 3; C4complement factor 4 p < 0.05 indicates a difference; p < 0.01 indicates a significant difference

The nephrotic syndrome tended to suffer from/be presented/related with diffuse proliferative or membranous glomerulonephritis in lupus nephritis patients

Analysis of the histological classification of NS revealed a higher frequency of diffuse proliferative glomerulonephritis (class IV) (69.05% vs. 34.94%, p = 0.0005) and membranous lesions (class V) (68.00% vs. 34.94%, p = 0.0030) compared to non-diffuse proliferative renal lesions (class I + II + III), respectively in the same patient group. There was no significant difference between class IV and class V (69.05% vs. 68.00%, p = 1.0000) (Fig. 1A). On the other hand, the prevalence of hypercholesterolemia in patients with diffuse proliferative renal lesions (class IV) was significantly higher than that in patients with non-diffuse proliferative lesions (class I + II + III) (69.57% vs. 28.00%, p = 0.0085) (Fig. 1B), while the prevalence of serum albumin levels ≤ 20 g/l in patients with membranous lesions (class V) was significantly higher than that in patients with non-diffuse proliferative lesions (class I + II + III, 64.71% vs. 17.24%, p = 0.0003) and diffuse proliferative renal lesions (class IV, 64.71% vs. 31.03%, p = 0.0348) (Fig. 1C).
Fig. 1

A) Prevalence of NS in patients with diffuse proliferative renal lesions (class IV) and membranous lesions (class V) versus non-diffuse proliferative lesions (class I + II + III) (p = 0.0005, p = 0.0023, respectively); B) Prevalence of CHOL ≥ 5.7 in patients with diffuse proliferative renal lesions (class IV) versus non-diffuse proliferative lesions (class I + II + III) and membranous lesions (class V) (p = 0.0085, p = 0.3035, respectively). C) Prevalence of ALB ≤ 20 in patients with membranous lesions (class V) versus non-diffuse proliferative lesions (class I + II + III) and diffuse proliferative renal lesions (class IV) (p = 0.0003, P = 0.0348, respectively)

A) Prevalence of NS in patients with diffuse proliferative renal lesions (class IV) and membranous lesions (class V) versus non-diffuse proliferative lesions (class I + II + III) (p = 0.0005, p = 0.0023, respectively); B) Prevalence of CHOL ≥ 5.7 in patients with diffuse proliferative renal lesions (class IV) versus non-diffuse proliferative lesions (class I + II + III) and membranous lesions (class V) (p = 0.0085, p = 0.3035, respectively). C) Prevalence of ALB ≤ 20 in patients with membranous lesions (class V) versus non-diffuse proliferative lesions (class I + II + III) and diffuse proliferative renal lesions (class IV) (p = 0.0003, P = 0.0348, respectively) For the pathological features, we found that average AI (p = 0.0001) and CI (p = 0.0036) scores in LN patients with NS were significantly higher than in non-NS patients (Table 1). Meanwhile, we found that LN patients with NS presented with a distinguished high incidence of crescent (36.00% vs. 8%, p < 0.0001), tubular atrophy (60.00% vs. 38.00%, p = 0.0003) and interstitial fibrosis (62.67% vs. 41.33%, p = 0.0140) (Table 5). On the other hand, there was no significant difference in the occurrence of segmental necrosis, wire-loops, glomerulosclerosis and vascular lesion between the two groups. Significantly, we also found that there was a strong positive correlation between the levels of proteinuria and AI (r = 0.3495, p < 0.0001) and CI (r = 0.3568, p < 0.0001) (Figs. 2A and 2B). A negative correlation was found between the levels of serum albumin and AI (r = –0.3719, p < 0.0001) and CI (r = –0.3005, p = 0.0002) (Figs. 2C and 2D).
Table 5

Correlations between nephrotic syndrome and the relevant histopathologic parameters

Histopathologic parametersNS (n = 75)Non-NS (n = 75) P
Crescent27 (36.00)6 (8.00) < 0.0001
Segmental necrosis13 (17.33)8 (10.67)0.3469
Wire-loops13 (17.33)11 (14.67)0.8242
Glomerulosclerosis23 (30.67)18 (24.00)0.3678
Tubular atrophy60 (80.00)38 (50.67) 0.0003
Interstitial fibrosis47 (62.67)31 (41.33) 0.0140
Vascular lesion22 (29.33)13 (17.33)0.1218
Activity index, score7 (1-18)5 (1-14) 0.0001
Chronicity index, score2 (0-8)1 (0-9) 0.0036

Values were show as number (%) or median (IQR). IQR, inter-quartile range. P < 0.05 indicates difference; p < 0.01 indicates significant difference.

Fig. 2

Correlation between proteinuria / serum albumin level / and activity index (AI) / chronicity index (CI) in patients with lupus nephritis. A) Correlation between proteinuria and AI (r = 0.3495, p < 0.0001); B) Correlation between serum albumin level and CI (r = 0.3586, p < 0.0001); C) Correlation between serum albumin level and AI (r = –0.3719, p < 0.0001); D) Correlation between serum albumin level and CI (r = –0.3005, p = 0.0002)

Correlation between proteinuria / serum albumin level / and activity index (AI) / chronicity index (CI) in patients with lupus nephritis. A) Correlation between proteinuria and AI (r = 0.3495, p < 0.0001); B) Correlation between serum albumin level and CI (r = 0.3586, p < 0.0001); C) Correlation between serum albumin level and AI (r = –0.3719, p < 0.0001); D) Correlation between serum albumin level and CI (r = –0.3005, p = 0.0002) Correlations between nephrotic syndrome and the relevant histopathologic parameters Values were show as number (%) or median (IQR). IQR, inter-quartile range. P < 0.05 indicates difference; p < 0.01 indicates significant difference.

The NS patients had worse outcomes than nonnephrotic syndrome within the lupus nephritis patient group

General treatment protocols were comparable between NS and non-NS patients in the LN group of patients. Of the 429 LN patients, a total of 35 patients, including 11 NS and 24 non-NS patients, were treated with oral corticosteroids alone (p = 0.0330). Comparably, 167 of 215 non-NS patients and 179 of 214 NS patients received corticosteroids combined with cyclophosphamide (p = 0.1423). However, a significant difference was obtained between the two patient groups who had to take intravenous methylprednisolone pulse therapy (82/214 for NS vs. 36/215 for non-NS patients, p < 0.0001, Table 6). Furthermore, the total remission rate including both partial and complete remission in NS patients was significantly lower than that in non-NS patients based on a mean follow-up time of 13 months (range 10 to 14 months; 76.64% vs. 90.23%, p = 0.0245, Table 6). Notably, NS patients tended to have worse renal disease outcome than non-NS, as defined by doubling the serum creatinine value for a period of at least 6 months, with a minimum value of serum creatinine of 176.8 µmol/l (6.98% vs. 2.79%, p = 0.0461). In addition, at their respective last observations before they were discharged from the hospital, NS patients had a significantly higher average level of proteinuria (1.05 vs. 0.26 g/24 h, p < 0.0001) than non-NS patients. For the total of 429 LN patients, although respective rates of the worst disease outcome including mortality and ESRD (progression to end-stage renal disease) were not significantly different between NS and non-NS groups (Table 6), after a mean follow-up time of 25 months (range 22 to 27 months) post-treatment, the recurrence rate in the NS group was significantly higher than that in the non-NS group (50.58% vs. 33.96%, p = 0.0027).
Table 6

Clinical status of the patients at their last observation

IndexNS group (n = 214)Non-NS group (n = 215) P
Oral corticosteroid alone11/214 (5.14)24/215 (11.16) 0.0330
Corticosteroid combined CTX179/214 (83.64)167/215 (77.67)0.1423
Methylprednisolone pulse therapy82/214 (38.32)36/215 (16.74) < 0.0001
Remission rates164/214 (76.64)194/215 (90.23)0.0002
Patients with poor outcome15/214 (6.98)6/215 (2.79)0.0461
Plasma creatinine at last observation (µmol/l)69.30 (17.00-976.0)67.95 (43.40-652.2)0.9236
Proteinuria at last observation (g/24 h)1.05 (0.36-8.08)0.26 (0.19-4.87) < 0.0001
Mortality rates6/214 (2.80)3/215 (1.40)0.3380
ESRD rates7/214 (3.27)3/215 (1.40)0.2205
Recurrence rate87/172 (50.58)54/159 (33.96) 0.0027

Values were show as median (IQR) or number (%). IQR, inter-quartile range. Poor outcome: defined as a doubling in serum creatinine values for a period of at least 6 months, with a plasma creatinine value of at least 176.8 µmol/l. ESRD, end-stage renal disease. P < 0.05 indicates difference; P < 0.01 indicates significant difference

Clinical status of the patients at their last observation Values were show as median (IQR) or number (%). IQR, inter-quartile range. Poor outcome: defined as a doubling in serum creatinine values for a period of at least 6 months, with a plasma creatinine value of at least 176.8 µmol/l. ESRD, end-stage renal disease. P < 0.05 indicates difference; P < 0.01 indicates significant difference

Discussion

In this study, we retrospectively analyzed the clinical feature and outcome of 429 LN patients. Prevalence of anti- dsDNA, anti-nucleosome and anti-histone positivity was more common in LN patients with nephrotic syndrome (NS), with very high specificity. Notably, serum total cholesterol and albumin levels are associated with the activity and severity of renal damage in LN patients with NS. The kidney biopsy showed that more than 50% was nephrotic syndrome in diffuse proliferative renal lesions (class IV) and membranous lesions (class V). Furthermore, proteinuria and serum albumin levels have a strong positive correlation with AI and CI in LN patients with NS. Finally, LN patients with NS had significantly worse renal disease outcomes, lower remission and higher recurrence rates than patients without NS during a long-term follow-up. The current study first analyzed differences of demographic and clinical features between the NS and non-NS patients. Our findings have shown that 214 (49.88%) patients had nephrotic syndrome, which was different from the previous reports [21, 22]. The differing prevalence of nephrotic syndrome among the different populations studied might reflect the relative frequency of class IV and class V among each population. Furthermore, it was found that LN patients with NS had a significantly higher level of urinary RBC, Scr and BUN, and had a lower level of PLT, HB, serum C3 and C4 than those in non-NS patients. More importantly, the distribution of pathological types is largely different between NS and non-NS patients with LN. Patients with NS had a higher proportion of diffuse proliferative renal lesions (class IV) and membranous lesions (class V) and a lower proportion of non-diffuse proliferative renal lesions (class I + II + III), in accordance with previous studies [14]. However, this was different from the results found in a study by Williams et al. [23]. Williams et al. reported that nephrotic range proteinuria was most common in classes III and IV. The discrepancy of positive prevalence might be explained by various subjects enrolled from different races. Therefore, the selection bias could not be excluded. It was reported that over 150 autoantibodies [24] had been identified in sera of patients with SLE; however, only a few of them were associated with the development of LN. Our findings have shown that serum anti-dsDNA, anti-nucleosome and anti-histone positivity was more common in LN patients with NS, with very high specificity. This is consistent with most of the previously described reports but did have any different prevalence [25-27]. The discrepancy of positive prevalence might be explained by various subjects enrolled from different races, and different assays used to detect these antibodies. Notably, previously reports have indicated only that the prevalence of these autoantibodies was higher in LN, but the difference between the NS and non-NS patients was not investigated. This could indicate that positivity of anti-dsDNA, anti-nucleosome and anti-histone might be an available parameter to predict disease activity in LN patients with NS. The most important finding in this study was the association between serum total cholesterol levels and albumin and the activity and severity of renal damage in LN patients with NS. In this study, the total cholesterol level was associated with proteinuria, Scr, serum albumin levels, serum triglyceride and C4, in accordance with previous studies [11, 15]. Indeed, hyperlipidemia can affect the renal function, increase proteinuria and speed up glomerulosclerosis, thus determining a higher risk of progression to dialysis. Furthermore, the persistent proteinuria and dyslipidemia are the major factors for chronic kidney disease progression in SLE patients with renal involvement. In addition, several factors may affect the serum albumin level. However, in our study, all patients had a BMI > 18 and therefore a low serum albumin level due to malnutrition was unlikely. Furthermore, LN may lead to nephrotic range proteinuria, which in turn lowers serum albumin levels. This rationale has prompted clinicians to use serum albumin to indirectly assess activity of LN and conduct its therapy. Yip et al. demonstrated that serum albumin is inversely associated with SLE disease activity and this association was stronger in those with LN and especially in those with proteinuria 16]. Our results support this but we also found that patients with hypoalbuminemia (≤ 20 g/l) were significantly younger, and had a higher level of proteinuria, urinary RBC, serum total cholesterol and triglyceride than those without hypoalbuminemia (> 20 g/l). More importantly, this is the first report demonstrating that the prevalence of hypercholesterolemia in patients with diffuse proliferative renal lesions (class IV) was significantly higher, meanwhile the prevalence of hypoalbuminemia (≤ 20 g/l) in patients with membranous lesions (class V) was significantly lower/ higher. In addition, our findings have shown that the serum albumin level was more significantly associated with AI and CI in LN patients with NS. At the same time, we also found that the LN patients with NS presented with a distinguished high incidence of crescent, tubular atrophy and interstitial fibrosis. There are findings to indicate that an elevated serum total cholesterol level and depressed serum albumin levels may reflect the activity and severity of renal damage. Our data demonstrated that the renal injury in patients with LN seemed to be a more “fulminant” process in NS patients than that in non-NS ones. A number of studies have also reported that nephritic flares were significantly associated with a poor renal outcome [9, 28]. Results of our study support this finding and also detected a correlation between outcome and nephrotic syndrome. Our study further found a correlation between nephrotic syndrome and the plasma creatinine, as well as proteinuria in the last observation of the LN patients with NS. Moreover, the present study indicated that the nephrotic syndrome is significantly related with reduced remission, increased recurrence rates and poor outcome of renal disease in LN patients, and it is consistent with a previous study [9]. The mortality rates and ESRD rates showed no significant difference between the two subgroups of patients, which contradicts previous studies [11, 29]. The reasons for the discrepancies across studies are multifactorial, including differences in study design, ethnicity, baseline clinical characteristics and renal parameters, as well as treatment protocols employed. The resulting probability of a poor renal outcome was found to be higher for LN patients with NS. Finally, it is worth pointing out that this study has several limitations. First, it has inherent flaws of a retrospective study. Only associations can be made by using statistical techniques. Second, the expertise of different clinicians involved in the treatment of these patients differed and this could have an impact on the outcome. Nevertheless, we are convinced that the results obtained provide useful indications that could be further explored in a prospective study on the significance of nephrotic syndrome in LN.

Conclusions

In summary, the LN patients with NS have a higher proportion of diffuse proliferative renal lesions (class IV) and membranous lesions (class V), serum anti-dsDNA, anti-nucleosome and anti-histone positivity are more common in LN patients with NS. Furthermore, serum total cholesterol and albumin levels are associated with the activity and severity of renal damage in LN patients with NS. Our study also confirmed that the incidence of a poor renal outcome is significantly increased in LN patients with NS. Therefore, our data suggest the ability of the nephrotic-range proteinuria, elevated total cholesterol level and decreased serum albumin levels to predict renal disease activity, may lead to a major additional benefit in the follow-up of these patients.
  29 in total

1.  Predictors of chronic kidney disease in Korean patients with lupus nephritis.

Authors:  Su-Jin Moon; Seung-Ki Kwok; Ji Hyeon Ju; Kyung-Su Park; Sung-Hwan Park; Chul-Soo Cho; Ho-Youn Kim
Journal:  J Rheumatol       Date:  2011-10-01       Impact factor: 4.666

2.  Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus.

Authors:  M C Hochberg
Journal:  Arthritis Rheum       Date:  1997-09

3.  Antinucleosome antibodies as a potential biomarker for the evaluation of renal pathological activity in patients with proliferative lupus nephritis.

Authors:  W T Hung; Y M Chen; J L Lan; H H Chen; Y H Chen; D Y Chen; C W Hsieh; M C Wen
Journal:  Lupus       Date:  2011-09-26       Impact factor: 2.911

Review 4.  Systematic review of the epidemiology of systemic lupus erythematosus in the Asia-Pacific region: prevalence, incidence, clinical features, and mortality.

Authors:  Rupert W Jakes; Sang-Cheol Bae; Worawit Louthrenoo; Chi-Chiu Mok; Sandra V Navarra; Namhee Kwon
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-02       Impact factor: 4.794

5.  Factors associated with poor outcomes in patients with lupus nephritis.

Authors:  G Contreras; V Pardo; C Cely; E Borja; A Hurtado; C De La Cuesta; K Iqbal; O Lenz; A Asif; N Nahar; B Leclerq; C Leon; I Schulman; F Ramirez-Seijas; A Paredes; A Cepero; T Khan; F Pachon; E Tozman; G Barreto; D Hoffman; M Almeida Suarez; J C Busse; M Esquenazi; A Esquenazi; L Garcia Mayol; H Garcia Estrada
Journal:  Lupus       Date:  2005       Impact factor: 2.911

6.  Worse renal outcome of lupus nephritis in male patients: a case-control study.

Authors:  A L Resende; S M Titan; R T Barros; V Woronik
Journal:  Lupus       Date:  2011-03-17       Impact factor: 2.911

7.  A potential trigger of nephritogenic anti-DNA antibodies in lupus nephritis.

Authors:  Y Hirabayashi; Y Oka; M Tada; R Takahashi; T Ishii
Journal:  Ann N Y Acad Sci       Date:  2007-06       Impact factor: 5.691

8.  The clinical and epidemiologic features in 140 patients with lupus nephritis in a predominantly black population from one center in Kingston, Jamaica.

Authors:  Winston Williams; Dipak Shah; Lincoln A Sargeant
Journal:  Am J Med Sci       Date:  2004-06       Impact factor: 2.378

Review 9.  Nephritogenic potential of anti-DNA antibodies against necrotic nucleosomes.

Authors:  Elin Synnøve Mortensen; Ole Petter Rekvig
Journal:  J Am Soc Nephrol       Date:  2009-04       Impact factor: 10.121

10.  EULAR recommendations for the management of systemic lupus erythematosus. Report of a Task Force of the EULAR Standing Committee for International Clinical Studies Including Therapeutics.

Authors:  G Bertsias; J P A Ioannidis; J Boletis; S Bombardieri; R Cervera; C Dostal; J Font; I M Gilboe; F Houssiau; T Huizinga; D Isenberg; C G M Kallenberg; M Khamashta; J C Piette; M Schneider; J Smolen; G Sturfelt; A Tincani; R van Vollenhoven; C Gordon; D T Boumpas
Journal:  Ann Rheum Dis       Date:  2007-05-15       Impact factor: 19.103

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1.  Frequency of Dyslipidemia in patients with Lupus Nephritis.

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2.  Urinary Albumin Levels are Independently Associated with Renal Lesion Severity in Patients with Lupus Nephritis and Little or No Proteinuria.

Authors:  Jin Ding; Zhaohui Zheng; Xueyi Li; Yuan Feng; Nan Leng; Zhenbiao Wu; Ping Zhu
Journal:  Med Sci Monit       Date:  2017-02-03

3.  Outcome of participants with nephrotic syndrome in combined clinical trials of lupus nephritis.

Authors:  Liliana Michelle Gomez Mendez; Matthew D Cascino; Tamiko R Katsumoto; Paul Brakeman; Paul Brunetta; David Jayne; Maria Dall'Era; Brad Rovin; Jay Garg
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4.  MicroRNA-148a regulates low-density lipoprotein metabolism by repressing the (pro)renin receptor.

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Review 5.  The Shifting Landscape of Lupus Nephritis Management: A Review.

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Journal:  Cureus       Date:  2022-01-05

6.  Serum albumin and beta-amyloid deposition in the human brain.

Authors:  Jee Wook Kim; Min Soo Byun; Jun Ho Lee; Dahyun Yi; So Yeon Jeon; Bo Kyung Sohn; Jun-Young Lee; Seong A Shin; Yu Kyeong Kim; Koung Mi Kang; Chul-Ho Sohn; Dong Young Lee
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