Literature DB >> 32000703

MEST-C pathological score and long-term outcomes of child and adult patients with Henoch-Schönlein purpura nephritis.

Donghwan Yun1,2, Dong Ki Kim1, Kook-Hwan Oh1, Kwon Wook Joo1, Kyung Chul Moon3, Yon Su Kim1,2, Kyoungbun Lee4, Seung Seok Han5.   

Abstract

BACKGROUND: Henoch-Schönlein purpura nephritis (HSPN), a small-vessel vasculitis, shares renal pathological features with immunoglobulin A nephropathy. Oxford classification of immunoglobulin A nephropathy pathology has been updated to the MEST-C score, but its application in HSPN remains unresolved.
METHODS: Two hundred and thirteen patients with biopsy-proven HSPN were retrieved from the Seoul National University Hospital between 2000 and 2017. Renal outcome risks (i.e., end-stage renal disease or doubling of serum creatinine) were evaluated according to MEST-C scores after stratification by age: 113 children aged < 18 years (9.2 ± 3.6 years) and 100 adults aged ≥18 years (38.6 ± 18.3 years). We pooled our data with four previous cohort studies in which MEST or MEST-C scores were described in detail.
RESULTS: Twenty-one child (19%) and 16 adult (16%) patients reached the renal outcome during the median follow-up periods of 12 years and 13 years, respectively (maximum 19 years). In children, M1 and T1/T2 scores revealed worse renal outcomes than did M0 and T0 scores, respectively, whereas the T score was the only factor related to worse outcomes in adult patients after adjusting for multiple clinical and laboratory variables. The pooled data showed that M1, S1, and T1/T2 in children and E1 and T1/T2 in adults were correlated with poorer renal outcomes than those of their counterpart scores.
CONCLUSIONS: The Oxford classification MEST-C scores can predict long-term renal outcomes in patients with HSPN.

Entities:  

Keywords:  End-stage renal disease; Henoch-Schönlein purpura nephritis; MEST-C; Oxford classification

Mesh:

Substances:

Year:  2020        PMID: 32000703      PMCID: PMC6993338          DOI: 10.1186/s12882-020-1691-5

Source DB:  PubMed          Journal:  BMC Nephrol        ISSN: 1471-2369            Impact factor:   2.388


Background

Henoch-Schönlein purpura (HSP) is a small vessel vasculitis that features immunoglobulin A (IgA) deposition, mainly in the joints, skin, and kidneys. The incidences of HSP are approximately 20 and 10 per 100,000 person-years in children and adults, respectively [1], wherein the risk is higher in Asians than in other ethnic groups [2]. When the disease affects the kidneys, it is called HSP nephritis (HSPN). HSPN is rare but can potentially cause chronic kidney disease and end-stage renal disease (ESRD). The prevalence of renal progression to chronic kidney disease or ESRD in patients with HSPN ranges from approximately 5–20% in children and 35–69% in adults [3-6], depending on the patient’s ethnic background [2]. Histopathological findings from renal biopsies are frequently accepted as the most predictable factor of renal outcomes [7, 8]. However, the histopathological classification methods for HSPN are inconsistent and depend on clinicians or societies, although two main classifications exist for HSPN: the Meadow classification, which primarily focuses on the degree of mesangial hypercellularity [9] and the International Study Group of Kidney Disease in Children (ISKDC), which uses crescents as an important factor [10]. Which classification is best for HSPN patients remains uncertain because of limited evidence [11], and the above classifications do not consider other pathological features such as endocapillary hypercellularity, and tubular atrophy / interstitial fibrosis. HSPN shares many pathological characteristics with IgA nephropathy, and these diseases are indistinguishable from each other in terms of renal pathology [12]. The Oxford classification was developed to score the pathological findings of IgA nephropathy. The previous scoring system included mesangial hypercellularity (M), endocapillary hypercellularity (E), segmental sclerosis (S), and tubular atrophy and interstitial fibrosis (T) [13]. The classification was revised in 2016, wherein the crescent score (C) was added to the scoring system. The Oxford classification with these pathological parameters has shown good predictive power in previous studies [14, 15]. Because HSPN and IgA nephropathy share their renal pathology, a few studies have used the Oxford classification score to predict renal outcomes in HSPN [16-19]. However, these studies yielded inconsistent results for MEST-C score predictability; thus, further study is warranted. The present study addressed the value of the recently updated MEST-C score in predicting long-term renal outcomes in patients with biopsy-proven HSPN. This issue was analyzed after stratification by child vs adult patients.

Methods

Patient and data collection

The institutional review board of Seoul National University Hospital approved the study design (no. H-1808-011-963), which was conducted in accordance with the principles of the Declaration of Helsinki. Two hundred and twenty-four patients with clinical features including palpable purpuric eruption and abdominal or joint pain were diagnosed with HSPN via kidney biopsy between 2000 and 2017 years at the Seoul National University Hospital. We excluded 11 patients whose renal pathology slides were unavailable. Consequently, 213 patients were analyzed in the present study. These patients comprised 113 children (aged < 18 years) and 100 adults (aged ≥18 years). Under the review board’s approval, informed consent was waived. Clinical data on age, sex, body mass index, diabetes mellitus, hypertension, and treatments were collected. Blood parameters, including white blood cell counts, hemoglobin, blood urea nitrogen, creatinine, and cholesterol, were obtained. Proteinuria and hematuria on dipstick tests were scored from negative to ≥3+. The estimated glomerular filtration rate (eGFR) was calculated using the bedside Schwartz equation [20] for children and the Chronic Kidney Disease Epidemiology Collaboration equation [21] for adults. All kidney biopsy slides were reviewed by nephropathologists and scored according to the revised Oxford classification criteria: mesangial hypercellularity (M0 < 50%; M1 ≥ 50% of the glomeruli), endocapillary hypercellularity (E0: absent; E1: present), segmental glomerulosclerosis (S0: absent; S1: present), tubular atrophy and interstitial fibrosis (T0: 0–24%; T1: 25–49%; and T2: ≥50% of the cortical area), and cellular or fibrocellular crescents (C0: absent; C1: 1–24%; and C2: ≥25% of the glomeruli) [14].

Study outcome

The primary outcome was either doubling of the baseline serum creatinine or development of ESRD during the follow-up period. ESRD events were obtained from the Kidney Renal Registry database of South Korea. Information on all-cause mortality was identified from the National Database of Statistics, Korea.

Statistical analysis

Statistical analyses were performed using SPSS (version 23.0; IBM Corp., Armonk, NY, USA) and R software (version 3.5.1; The Comprehensive R Archive Network: http://cran.r-project.org). Categorical and continuous variables are expressed as proportions and the means ± standard deviation for normally distributed variables and as the median with interquartile range for not normally distributed variables. The normality of the distribution was analyzed via the Kolmogorov-Smirnov test. The chi-square test was used to compare categorical variables (Fisher’s exact test if not applicable). The Student’s t-test or the Mann-Whitney U test was used to compare continuous variables with or without normal distributions, respectively. Kaplan-Meier survival curves were constructed and compared using the log-rank test. A Cox proportional hazards regression model was applied to calculate hazard ratios (HRs) of the outcome risks. Pooled estimates of the relative risks and 95% confidence intervals were evaluated using the Mantel-Haenszel fixed-effects model if there was no evidence of heterogeneity or the DerSimonian and Laird random effects model if there was heterogeneity between studies. Heterogeneity was assessed using the Cochran Q statistic and I2. All P values were two-sided, and values < 0.05 were considered significant.

Results

Baseline characteristics

In children, the mean age was 9.2 ± 3.6 years, and 46.0% were girls. The median values of the serum creatinine and eGFR at the time of biopsy were 0.6 mg/dL (0.5–0.8 mg/dL) and 111.4 mL/min/1.73 m2 (82.4–142.7 mL/min/1.73 m2), respectively. Proteinuria and hematuria were present in 83.2 and 91.2% of patients, respectively. In adults, the mean age was 38.6 ± 18.3 years, and 40.0% were women. At the time of biopsy, the median values of the serum creatinine and eGFR were 1.0 mg/dL (0.8–1.2 mg/dL) and 94.6 mL/min/1.73 m2 (59.5–108.8 mL/min/1.73 m2), respectively. Proteinuria was present in 83.0%, and hematuria was present in 89.0%. The median follow-up periods were 12 and 13 years for children and adults, respectively. Table 1 shows other baseline characteristics of the patients.
Table 1

Baseline characteristics of the study patients

Child(n = 113)Adult(n = 100)
Age (years)9.2 ± 3.638.6 ± 18.3
Female (%)46.040.0
Body mass index (kg/m2)18.6 ± 3.723.3 ± 3.3
Diabetes mellitus (%)08.1
Hypertension (%)2.38.1
Laboratory findings
 WBC (×103/μL)10.2 (7.4–12.7)7.5 (5.9–9.7)
 Hemoglobin (g/dL)12.6 (11.3–13.4)12.9 (10.7–14.0)
 BUN (mg/dL)12 (10–15)14 (11–20)
 Creatinine (mg/dL)0.60 (0.45–0.80)1.00 (0.80–1.24)
 eGFR (mL/min/1.73 m2)111.4 (82.4–142.7)94.6 (59.5–108.8)
 Cholesterol (mg/dL)219 (182–262)177 (150–202)
 Proteinuria (%)
  – or ±16.817.0
  1+5.313.0
  2+23.035.0
  ≥ 3+54.935.0
 Hematuria (%)
  – or ±8.811.0
  1+8.013.0
  2+23.919.0
  ≥ 3+59.357.0
Treatment (%)a
 ACEi/ARB96.559.7
 Steroid82.654.8
 Cytotoxic agents43.06.5

Data are presented as proportion or mean ± standard deviation or median (interquartile range)

WBC white blood cells, BUN blood urea nitrogen, eGFR estimated glomerular filtration, ACEi angiotensin converting enzyme inhibitor, ARB aldosterone II receptor blocker

aNot available in 27 child and 38 adult patients

Baseline characteristics of the study patients Data are presented as proportion or mean ± standard deviation or median (interquartile range) WBC white blood cells, BUN blood urea nitrogen, eGFR estimated glomerular filtration, ACEi angiotensin converting enzyme inhibitor, ARB aldosterone II receptor blocker aNot available in 27 child and 38 adult patients

Pathological findings according to classification criteria

Using the Oxford classification, M1, E1, S1, T1/T2, and C1/C2 occurred in 54.9, 61.9, 63.7, 5.3% (T1, 4.4%; T2, 0.9%), and 44.2% (C1, 38.9%; C2, 5.3%) of the children, respectively. M1, E1, S1, T1/T2, and C1/C2 occurred in 31.0, 48.0, 59.0, 11.0% (T1, 8.0%; T2, 3.0%) and 38% (C1, 30.0%; C2, 8.0%) of the adults, respectively (Table 2). The rates of M1 (54.9% vs. 31.0%; P < 0.001) and E1 (61.9% vs. 48.0%; P = 0.041) differed between the children and adults, whereas the other scores did not.
Table 2

Renal pathology findings

Oxford classification (%)Child patientsAdult patients
TotalNon-progressionProgressionPTotalNon-progressionProgressionP
M154.948.981.00.00831.028.643.80.249
E161.958.776.20.13648.046.456.30.471
S163.762.071.40.41559.059.556.30.807
T1/T25.33.314.30.04211.06.037.50.002
C1/C244.244.642.90.88738.034.556.30.101

M mesangial hypercellularity, E endocapillary hypercellularity, S segmental glomerulosclerosis, T tubular atrophy and interstitial fibrosis, C cellular or fibrocellular crescents

Renal pathology findings M mesangial hypercellularity, E endocapillary hypercellularity, S segmental glomerulosclerosis, T tubular atrophy and interstitial fibrosis, C cellular or fibrocellular crescents

Renal outcomes according to classification

During the follow-up period, 21 children (18.6%) and 16 adults (16.0%) reached the primary endpoint of serum creatinine doubling or the ESRD event. Among them, 4 children and 7 adults progressed to ESRD. The treatment regimens did not differ between the progression and non-progression groups (Additional file 1: Table S1). Children in the progression group had higher rates of M1 and T1/T2 than did those in the non-progression group. In adults, only T scores were higher in the progression group but not the non-progression group in adults. The all-cause mortality rates were 0 and 16% in children and adults, respectively. Figure 1 (child patients) and Fig. 2 (adult patients) present the renal outcome-free curves according to MEST-C score. Children with M1 and T1/T2 had poorer renal outcomes than did those with M0 and T0, respectively. The other scores did not separate the survival curves. In the adult group, T1 and T2 were associated with poorer renal outcomes compared with T0. Patients with C1/C2 had poorer outcomes than did those with C0, although the significance was marginal. The other scores did not correlate with renal outcomes. Table 3 show the unadjusted and adjusted Cox models in children and adults. In model 1 (the univariate model), the M1 and T1/T2 scores for children and the T1/T2 scores for adults were associated with worse renal outcomes. Multivariate models 2–4 also showed that M1 and T1/T2 for children and T1/T2 for adults were independently associated with a risk of poor renal outcome.
Fig. 1

Renal outcome-free survival curves according to MEST-C scores in child patients. a M0 vs. M1; b E0 vs. E1; c S0 vs. S1; d T0 vs. T1/T2; e C0 vs. C1/C2

Fig. 2

Renal outcome-free survival curves according to MEST-C scores in adult patients. a M0 vs. M1; b E0 vs. E1; c S0 vs. S1; d T0 vs. T1/T2; e C0 vs. C1/C2

Table 3

Prediction of renal outcomes among MEST-C scores

ParametersHR (95% CI) from Model 1PHR (95% CI) from Model 2PHR (95% CI) from Model 3PHR (95% CI) from Model 4P
Child patients
 M1 (vs. M0)4.16 (1.394–12.407)0.0113.38 (1.101–10.363)0.0333.53 (1.118–11.140)0.0324.02 (1.217–13.304)0.023
 E1 (vs. E0)2.00 (0.734–5.470)0.1752.14 (0.720–6.355)0.1711.56 (0.486–5.026)0.4531.50 (0.464–4.832)0.499
 S1 (vs. S0)1.43 (0.553–3.675)0.4631.44 (0.554–3.762)0.4521.36 (0.508–3.642)0.5401.35 (0.494–3.672)0.560
 T1/T2 (vs. T0)4.86 (1.406–16.794)0.0124.24 (1.124–15.979)0.0339.74 (1.920–49.462)0.00612.28 (2.728–55.273)0.001
 C1/C2 (vs. C0)0.94 (0.396–2.229)0.8870.60 (0.232–1.569)0.3000.59 (0.231–1.524)0.2790.58 (0.216–1.531)0.268
Adult patients
 M1 (vs. M0)2.05 (0.756–5.532)0.1591.29 (0.420–3.933)0.6591.41 (0.411–4.819)0.5861.36 (0.410–4.473)0.618
 E1 (vs. E0)1.53 (0.569–4.114)0.3990.86 (0.233–3.170)0.8200.56 (0.139–2.239)0.4100.35 (0.075–1.598)0.174
 S1 (vs. S0)0.80 (0.299–2.159)0.6641.01 (0.354–2.907)0.9791.15 (0.371–3.547)0.8121.02 (0.357–2.898)0.974
 T1/T2 (vs. T0)6.25 (2.265–17.258)< 0.0015.32 (1.807–15.660)0.0024.29 (1.124–16.333)0.0334.02 (1.665–9.684)0.002
 C1/C2 (vs. C0)2.43 (0.900–6.553)0.0801.95 (0.494–7.717)0.3401.57 (0.389–6.334)0.5260.85 (0.198–3.639)0.825

HR Hazard ratio, CI confidence interval

Model 1: Unadjusted

Model 2: Adjusted for other pathological scores

Model 3: Adjusted for model 2 plus age, sex, and estimated glomerular filtration rate

Model 4: Adjusted for model 3 plus proteinuria and hematuria

Renal outcome-free survival curves according to MEST-C scores in child patients. a M0 vs. M1; b E0 vs. E1; c S0 vs. S1; d T0 vs. T1/T2; e C0 vs. C1/C2 Renal outcome-free survival curves according to MEST-C scores in adult patients. a M0 vs. M1; b E0 vs. E1; c S0 vs. S1; d T0 vs. T1/T2; e C0 vs. C1/C2 Prediction of renal outcomes among MEST-C scores HR Hazard ratio, CI confidence interval Model 1: Unadjusted Model 2: Adjusted for other pathological scores Model 3: Adjusted for model 2 plus age, sex, and estimated glomerular filtration rate Model 4: Adjusted for model 3 plus proteinuria and hematuria Because all child patients were alive during the follow-up period, the risk of all-cause mortality was evaluated only in adults. E1 and C1/C2 were significant variables in the unadjusted Cox model, but no variable predicted the risk of mortality after adjusting for multiple clinical variables (Additional file 2: Table S2).

Pooled analysis with previous studies

Pooled analysis of the predictability of MEST and MEST-C scores for HSPN patients was performed using four previous studies [16-19], although the relationship for C score in adults could not be determined because the C score was defined differently in one study [19]. Two hundred ninety-two children and 235 adults were included in the meta-analysis, and their information is summarized in Table 4. In the children, M1, S1, and T1/T2 scores correlated with poor renal outcomes, while E1 and T1/T2 were associated with worse renal outcomes in adults (Fig. 3).
Table 4

Summary of studies regarding application of the Oxford classification to patients with Henoch-Schönlein purpura nephritis

StudyNo. of patientsAgeDefinition of renal outcomeSignificant pathologic parameters
Univariate modelMultivariate model
Child patients
 Çakıcı et el. (2019) [17]75< 18 years< 90 mL/min/1.73 m2 or 50% decrease of eGFR; or persistent PU/HUS1, T1/T2T1/T2b
 Xu et el. (2018) [18]104< 18 years< 90 mL/min/1.73 m2 or 50% decrease of eGFRS1Nonec
 The present study113< 18 yearsESRD or doubling of sCrM1, T1/T2M1, T1/T2
Adult patients
 Inagaki et el. (2018) [16]74≥18 yearsESRD or 30% decrease of eGFRE1E1d
 Kim et el. (2014)a [19]61≥16 yearsESRD; or < 60 mL/min/1.73 m2 or ≥ 30% decrease of eGFRE1, T1/T2, CaE1, T1/T2e
 The present study100≥18 yearsESRD or doubling of sCrT1/T2T1/T2

ESRD end-stage renal disease, sCr serum creatinine, eGFR estimated glomerular filtration rate, PU proteinuria, HU hematuria

aCrescent formation was defined when crescents were ≥ 50% of the glomeruli, which differs from the updated Oxford classification (C1: 0–25%; C2: ≥25%)

bAdjusted for E, S, T, and estimated glomerular filtration rate

cAdjusted for M, E, S, T, and C

dAdjusted for E, T, C, age, sex, and proteinuria

eAdjusted for E, T, C, hypertension, proteinuria, and estimated glomerular filtration rate

Fig. 3

Pooled analysis of renal outcome according to MEST-C scores in children (a) and MEST scores in adults (b)

Summary of studies regarding application of the Oxford classification to patients with Henoch-Schönlein purpura nephritis ESRD end-stage renal disease, sCr serum creatinine, eGFR estimated glomerular filtration rate, PU proteinuria, HU hematuria aCrescent formation was defined when crescents were ≥ 50% of the glomeruli, which differs from the updated Oxford classification (C1: 0–25%; C2: ≥25%) bAdjusted for E, S, T, and estimated glomerular filtration rate cAdjusted for M, E, S, T, and C dAdjusted for E, T, C, age, sex, and proteinuria eAdjusted for E, T, C, hypertension, proteinuria, and estimated glomerular filtration rate Pooled analysis of renal outcome according to MEST-C scores in children (a) and MEST scores in adults (b)

Discussion

Renal pathology findings may determine the renal outcomes of HSPN [7, 8]. However, pathological classification of HSPN has been inconsistent between studies [11], and many of the previous pathological classifications provided no information on tubular atrophy and interstitial fibrosis, which has frequently been shown to predict renal outcomes [17, 19, 22, 23]. The updated Oxford classification of IgA nephropathy includes information on various pathological features, which are graded as the MEST-C score; however, applying this classification to HSPN cases requires further validation [14]. The present study found that M and T scores in children and T scores in adults were associated with the renal outcomes of HSPN. A pooled analysis supported these findings. Increasing evidence shows the benefits of using the Oxford classification. A previous study involving 61 adult patients with HSPN revealed that E1 and T1/T2 were independently associated with poor renal outcomes [19]. Another study found that E1 lesions were the only significant variable related to renal outcomes [16]. A study of 104 children showed that S1 lesions were predictors of renal outcome, and T1/T2 were risk factors for non-remission from proteinuria [18]. A recent study involving 75 children with HSPN found that T1/T2 was an independent predictor of renal outcome, whereas the effect of S1 was dependent on the other variables [17]. Collectively, the E, S, and T scores have been shown to predict renal outcomes in HSPN. The present study first identified the validity of the M score in children with HSPN. Pooling these studies showed that M1, S1, and T1/T2 in child patients and E1 and T1/T2 in adult patients were associated with poor renal outcomes. These findings were similar to or different from the results for IgA nephropathy [15, 24], and several factors, such as underlying pathophysiology, clinical conditions, and treatments, would affect the predictability of each score. The present study found no evidence that C scores can predict renal outcomes. Many previous studies also failed to demonstrate the predictability of C lesions although these studies did not use the recent Oxford classification [25-27]. Two large Chinese studies, wherein the definition of crescentic severity complied with the Oxford classification, found no independent value of crescents relative to renal outcomes [28, 29]. Another study, which defined crescents as ≥50% of the glomeruli, failed to show that crescents had an independent value in predicting renal outcomes of HSPN [19]. Crescent formation, which is an important pathological feature of the ISKDC classification, was recently added to the Oxford classification of IgA nephropathy and is considered to predict a poor prognosis in Chinese patients with IgA nephropathy [30, 31]. However, in HSPN cases, the C score may need to be adjusted to increase its predictive value or clinical application. Although the present study results are informative, this study had some limitations. The study used a retrospective design and thus could not determine a causal relationship. The random urine protein-to-creatinine ratio, which is the best parameter of proteinuria, was not considered because half the patients had missing values. Other outcomes, such as proteinuria remission, were not obtained, and these outcomes may have been associated with the MEST-C scores. The use of treatment agents, such as anti-hypertensive drugs and steroids, was not considered in multivariate models because of missing values, although these agents have been known to affect the predictability of pathological parameters [15, 32]. The results from Korean patients may have limited applicability to Caucasian patients; thus, a current pooled analysis with results from both ethnics may be more generalizable than results from Korean patients alone. These issues will be addressed in future studies with larger sample sizes, and a new initiative of the International IgA Nephropathy Network is currently evaluating > 1000 renal biopsies from HSPN [33].

Conclusion

The MEST-C scores of the Oxford classification, particularly M and T, are related to renal outcomes in patients with HSPN. These results suggest that the pathological classification of IgA nephropathy may also be applied to HSPN patients. Nevertheless, the predictability of certain scores, such as C lesions, should be further evaluated or adjusted in up-coming studies. Additional file 1: Table S1. Comparison of treatment regimen between progression and non-progression groups. Additional file 2: Table S2. Prediction of all-cause mortality in adults.
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2.  Incidence of Henoch-Schönlein purpura, Kawasaki disease, and rare vasculitides in children of different ethnic origins.

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3.  Predictors of outcome in Henoch-Schönlein nephritis in children and adults.

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7.  Significance of histological crescent formation in patients with IgA vasculitis (Henoch-Schönlein purpura)-related nephritis: a cohort in the adult Chinese population.

Authors:  Xiao Huang; Jing Wu; Xiao-Mei Wu; Ya-Xin Hao; Cai-Hong Zeng; Zhi-Hong Liu; Zheng Tang
Journal:  BMC Nephrol       Date:  2018-11-22       Impact factor: 2.388

8.  Updated Oxford classification and the international study of kidney disease in children classification: application in predicting outcome of Henoch-Schönlein purpura nephritis.

Authors:  Xiaohan Huang; Lili Ma; Pingping Ren; Hongya Wang; Liangliang Chen; Haidongqin Han; Jianghua Chen; Fei Han
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Review 9.  Different histological classifications for Henoch-Schönlein purpura nephritis: which one should be used?

Authors:  Marija Jelusic; Mario Sestan; Rolando Cimaz; Seza Ozen
Journal:  Pediatr Rheumatol Online J       Date:  2019-02-28       Impact factor: 3.054

10.  Validation of the Oxford classification of IgA nephropathy in cohorts with different presentations and treatments.

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  8 in total

Review 1.  IgA vasculitis nephritis in children and adults: one or different entities?

Authors:  Licia Peruzzi; Rosanna Coppo
Journal:  Pediatr Nephrol       Date:  2020-11-20       Impact factor: 3.714

2.  Epidemiology of biopsy-proven Henoch-Schönlein purpura nephritis in children: A nationwide survey in Japan.

Authors:  Chikako Terano; Riku Hamada; Ichiro Tatsuno; Yuko Hamasaki; Yoshinori Araki; Yoshimitsu Gotoh; Koichi Nakanishi; Hitoshi Nakazato; Takeshi Matsuyama; Kazumoto Iijima; Norishige Yoshikawa; Tetsuji Kaneko; Shuichi Ito; Masataka Honda; Kenji Ishikura
Journal:  PLoS One       Date:  2022-07-08       Impact factor: 3.752

3.  Comparison of clinical, pathological and long-term renal outcomes of children with Henoch-Schonlein purpura nephritis and IgA nephropathy.

Authors:  Meral Torun Bayram; Cihan Heybeli; Gizem Yıldız; Alper Soylu; Ali Celik; Sülen Sarioglu; Salih Kavukçu
Journal:  Int Urol Nephrol       Date:  2021-11-30       Impact factor: 2.266

Review 4.  IgA Vasculitis in Adults: a Rare yet Challenging Disease.

Authors:  Kinanah Yaseen; Leal C Herlitz; Alexandra Villa-Forte
Journal:  Curr Rheumatol Rep       Date:  2021-07-01       Impact factor: 4.592

5.  Predictability of the Oxford classification of IgA nephropathy in Henoch-Schonlein purpura nephritis.

Authors:  Xinyao Luo; Jiaxing Tan; Dingyuan Wan; Junda Chen; Yahong Hu
Journal:  Int Urol Nephrol       Date:  2021-04-27       Impact factor: 2.370

6.  Influence of transitional nursing on the compliance behavior and disease knowledge of children with purpura nephritis.

Authors:  Li Li; Li Huang; Ning Zhang; Chun-Mei Guo; Yan-Qun Hu
Journal:  World J Clin Cases       Date:  2020-11-06       Impact factor: 1.337

7.  Using MEST-C Scores and the International Study of Kidney Disease in Children Classification to Predict Outcomes of Henoch-Schönlein Purpura Nephritis in Children.

Authors:  Meiqiu Wang; Ren Wang; Xu He; Pei Zhang; Qianhuining Kuang; Jun Yao; Xiang Fang; Zhuo Shi; Heyan Wu; Yingchao Peng; Zhengkun Xia; Chunlin Gao
Journal:  Front Pediatr       Date:  2021-04-14       Impact factor: 3.418

8.  Global Glomerulosclerosis and Segmental Glomerulosclerosis Could Serve as Effective Markers for Prognosis and Treatment of IgA Vasculitis With Nephritis.

Authors:  Jiaxing Tan; Yicong Xu; Zheng Jiang; Gaiqin Pei; Yi Tang; Li Tan; Zhengxia Zhong; Padamata Tarun; Wei Qin
Journal:  Front Med (Lausanne)       Date:  2020-10-23
  8 in total

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