Skip to main content
Medicine logoLink to Medicine
. 2021 Feb 26;100(8):e24541. doi: 10.1097/MD.0000000000024541

Efficacy and safety of immunosuppressive therapies in the treatment of high-risk IgA nephropathy

A network meta-analysis

Tongtong Liu 1, Yuyang Wang 1, Huimin Mao 1, Liping Yang 1, Yongli Zhan 1,
Editor: Anil Jha1
PMCID: PMC7909110  PMID: 33663060

Abstract

Background:

IgA nephropathy (IgAN) is one of the significant contributing factors of end-stage renal disease (ESRD). It is reported that over half of patients with IgAN accompany multiple high-risk factors, which increase the risk of ESRD progression. Studies have shown that immunosuppressive agents were beneficial in high-risk IgAN, but the efficacy and safety have not been fully demonstrated yet. The present study aims to elucidate the efficacy of commonly used immunosuppressants in high-risk IgAN and their relative safety profiles via a network meta-analysis strategy.

Methods:

Randomized controlled trials (RCTs) eligible for this network meta-analysis were included to evaluate the efficacy and safety of different immunosuppressants for high-risk IgAN. Main outcomes and measures include incidence of renal composite end point, the rate of total remission, adverse events, and proteinuria. Besides, subgroup analysis and cluster analysis were carried out.

Results:

This network meta-analysis of 37 RCTs involving 3012 participants found that Mycophenolate mofetil (MMF) combined with corticosteroids (CS) was superior to other interventions in end point events and proteinuria. Cyclosporine A (CsA) plus CS was the best option for clinical remission rate, and supportive care (SC) was the safest treatment. Cluster analysis showed that MMF+CS and Leflunomide (LEF)+CS were best protocols in efficacy and safety. Subgroup analysis indicated the best benefits of MMF were presented among the Asian population, and the benefits increased with the increase of follow-up duration. The effect of Cyclophosphamide (CTX) +CS on crescent IgAN was better than that of other risk factors. Moreover, the increasing follow-up duration was negatively associated with the effect.

Conclusions:

MMF+CS and LEF+CS appear to serve as the best choice for treating high-risk IgAN than other immunosuppressive therapies.

Keywords: efficacy, high-risk IgA nephropathy, immunosuppressive, network meta-analysis, safety

1. Introduction

IgA nephropathy (IgAN) is the most prevalent primary glomerulonephritis worldwide and one of the significant contributing factors of end-stage renal disease (ESRD).[1] Around 20% to 40% patients with IgAN will progress to ESRD within 10 to 20 years after diagnosis.[2,3] It is reported that over half of patients with IgAN accompany various high-risk factors like severe renal pathological damage, high proteinuria, hypertension, and lower estimated glomerular filtration rate (eGFR) which confer an increased risk of ESRD by 10 to 15 times.[46] Therefore, early intervention of high-risk IgAN impose great significance. The reno-protective effect of corticosteroids (CS) among high-risk IgAN has been demonstrated via multiple clinical trials and meta-analysis.[7,8] However, safety concerns using CS have been raised lately in studies involving patients with IgAN.[9] Thus, more safe and effective strategies are urgently required in the treatment of high-risk IgAN. In recent years, increasing evidence suggested that immunosuppressive therapy plus CS was superior to CS alone in patients with high-risk IgAN.[10,11] Notably, the effects of different immunosuppressive therapies plus CS have not been systematically assessed. Here, we carried out a network meta-analysis to evaluate the efficacy and safety of commonly used immunosuppressant in high-risk IgAN.

2. Methods

We performed this network meta-analysis based on the Cochrane handbook[12] and reported it in accordance with the network meta-analysis priority report entries in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension statement.[13]

2.1. Data sources

All randomized clinical trials (RCTs), comparing clinical efficacy and safety of different immunosuppressive agents in high-risk IgAN were retrieved from PubMed, EMbase, the Cochrane Library, CNKI, Wanfang Data, CBM, and VIP databases from database inception through to March 31, 2020. Besides, references from associated literatures were also traced to supplement the relevant research. MeSH terms was applied in combination of subject terms as the retrieval strategy. Search terms included: IgA nephropathy; IgA glomerulonephritides; Berger's disease; Immunoglobulin A nephropathy; IgA type nephritis; IgAN; Nephropathy, IgA; Progressive; Advanced; High-risk; Severe; Pathological damage; Renal failure; Proteinuria; Immunosuppressive treatment; Steroid; Mycophenolate mofetil; Cyclophosphamide; Leflunomide; Cyclosporine A; Azathioprine; Tripterygium wilfordii; Randomized controlled trial; RCT.

2.2. Study selection

Clinical trials eligible for this network meta-analysis were those:

  • 1.

    enrolling participants older than 18 years with biopsy-proven IgAN and accompanied with at least one of the following risk factors[14,15]:

    • (a)

      Active renal pathological lesions (Diffuse mesangial proliferation, crescent formation, and glomerulosclerosis);

    • (b)

      Estimated glomerular filtration rate (eGFR): 30–90 mL/(min·1.73 m2);

    • (c)

      24 h-urine total protein (24 h-UTP) ≥ 1 g;

    • (d)

      The blood pressure was still higher above 140/80 mm Hg after conventional antihypertensive treatment.

  • 2.

    comparing the efficacy of different immunosuppressive agents combined with CS or not, or with supportive care (SC), for more than 6 months;

  • 3.

    providing data on any of the prespecified primary, secondary, and safety end points.

Trials that did not study the effect of single immunosuppressive agent (two immunosuppressants were used in the same arm, or the study compared different doses or treatment time of the same immunosuppressant) were considered not eligible.

2.3. Data extraction and quality assessment

Data were extracted using piloted forms, independently by 2 authors (TTL and YYW), and disagreements were resolved by YLZ through discussion. For similar studies, those with more participants and longer follow-up duration were selected. The extracted information included: Basic information (First author, publication date, country, sample size, and age of participants), characteristics of the intervention (type of immunosuppressive agents, treatment duration, and follow-up duration), outcomes. The risk of bias of included studies was assessed by two authors (HMM and LPY) using the RCT bias risk assessment tool recommended by Cochrane manual 5.1.0, and cross-checked finally.

2.4. Outcomes

The primary outcome was the incidence of renal composite end point, including the development of ESRD, the occurrence of 50% increase in serum creatinine (SCr), or death due to kidney disease. The secondary outcomes included:

  • 1.

    the rate of total remission (defined as 24 h-UTP < 0.5 g, and stable renal function);

  • 2.

    occurrence of adverse events (including infection, leucopenia, transaminase elevation, etc);

  • 3.

    24 h-UTP after treatment.

2.5. Statistical analysis

The Bayesian network meta-analysis was performed using STATA (version 14.0) and GeMTC (version 0.14.3) software. STATA was applied to draw the network evidence map of network meta-analysis as well as test the inconsistency (based on closed loops and node-splitting model). If the difference presented statistically significance (P > .05), the consistency model was used for analysis and the results were sorted. Otherwise, the inconsistency model was used. Outcomes analysis was performed via GeMTC in the network meta-analysis. STATA was employed to draw a funnel plot for detecting the publication bias, and cluster analysis of different immunosuppressive interventions was conducted according to the incidence of renal composite end point, the rate of overall response and the incidence of adverse events. The odds ratio (OR) and 95% confidence interval (CI) of the dichotomous variables were used as the effect-quantity indexes, and the mean difference (MD) and 95%CI were used as the effect-quantity indexes for the continuous variables. The surface under the cumulative ranking curves (SUCRA) was used to assess the efficacy of each drug intervention program.

2.6. Ethics

This is a network meta-analysis and did not contain original data from clinical trials, so ethics approval is not applicable.

3. Results

3.1. Study selection and characteristics

A total of 6357 relevant literatures were identified through systematic searching, and 37 studies[9,1651] (3012 participants) were finally included in this network meta-analysis to compare the efficacy and safety of 10 immunosuppressive therapies with each other or with supportive care (SC), including CS, Mycophenolate mofetil (MMF), Leflunomide (LEF), Tripterygium wilfordii (TW), Cyclosporine A (CsA) combined with CS, Cyclophosphamide (CTX) combined with CS, azathioprine (Aza) combined with CS, MMF combined with CS, LEF combined with CS, TW combined with CS. Twenty-eight studies[9,1619,22,24,26,2933,3537,3944,4651] were conducted in China, 4 in Italy,[23,34,38,45] 2 in Japan,[20,28] and one in the United States,[27] Greece[25] and Belgium,[21] respectively. Twenty-one studies[9,1618,2024,2628,3235,3738,42,4546] reported the incidence of renal composite end point. The characteristics of the included studies were shown in Table 1 and the evidence network among different intervention programs were shown in Figure 1. These studies theoretically yield 55 different pairwise comparisons. A total of 12 studies[9,18,2021,23,2627,34,3738,45,51] were at low risk of bias in all areas, and 8 studies[30,36,39,4143,48,50] were at high risk in the blind method. The bias risks of included studies were detailed in Figure 2.

Table 1.

Characteristics of included study.

Intervention
Study Country Sample size Age Inclusion criteria Treatment 1 Treatment 2 Intervention course (month) Follow-up (month) Outcomes
Lv 2017[9] China 136/126 38.6 ± 11.5/38.6 ± 11.7 24 h-UTP ≥ 1 g; eGFR:20–120 mL/min/1.73 m2 CS SC 8 25 (5.7∼45.3) ①③④
Cheng 2015[16] China 84/84 33.33 ± 8.78/33.98 ± 9.70 Lee's histological grade II–IV LEF SC 24 24 ①③④
Liu 2014[17] China 42/42 39.8 ± 3.81/37.4 ± 4.78 Lee's histological grade>III; 24 h-UTP ≥ 1.0 g; Scr < 267 μmol/L (3 mg/dL). MMF+CS CTX+CS 12 18 ①②③④
Hou 2017[18] China 87/88 30.83 ± 9.05/33.50 ± 13.57 Active proliferative histologic lesions; 24 h-UTP:1.0–2.0 g. MMF+CS CS 12 12 ①②③
Xu 2014[19] China 48/48 35.4 ± 7.3/34.5 ± 8.0 Lee's histological grade III–V; 24 h-UTP:1.0–3.5 g; Scr < 150 mmol/L or eGFR > 60 mL/min/1.73 m2 CsA+CS CS 12 / ②④
Katafuchi 2003[20] Japan 43/47 33.6 ± 13.4/32.5 ± 10.8 Glomerular score ranging from 4–7; Scr ≤ 1.5 mg/dL (132.6 μmol/L) CS SC 60 67 ± 34/63 ± 10 ①②③④
Maes 2004[21] Belgium 21/13 39 ± 11/43 ± 15 eGFR:20–70 mL/min/1.73 m2; or 24 h-UTP > 1.0 g; or arterial hypertension; or Lee's histological grade II–IV MMF SC 36 12∼36 ①③④
Liang 2014[22] China 31/40/48 35.1 ± 9.4/32.9 ± 5.2/34.5 ± 12.2 24 h-UTP ≥ 1.0 g; eGFR ≥ 30 mL/min/1.73 m2 MMF+CS/CTX+CS CS 24 30 (12–96) ①③④
Pozzi 2013[23] Italy 20/26 42.67 ± 15.80/40.77 ± 15.37 24 h-UTP ≥ 1.0 g; Scr > 2.0 mg/dL Aza+CS CS 12 54 (34.8,73.2) ①③④
Liu 2014[24] China 23/25 42.39 ± 13.10/36.84 ± 8.06 24 h-UTP ≥ 1.0 g; eGFR > 30 mL/min/1.73 m2 CsA+CS CS 12 12∼60 ①②③④
Stangou 2011[25] Greece 12/10 46.6 ± 12.1/51.3 ± 9.1 24 h-UTP ≥ 1.0 g, eGFR > 30 mL/min/1.73 m2 Aza+CS CS 12 / ②③④
LV 2009[26] China 33/30 27.8 ± 8.9/30.43 ± 8.8 24 h-UTP:1.0–5.0 g; eGFR > 30 mL/min/1.73 m2 CS SC 6∼8 27.3 ± 7.7 (15∼48) ①③④
Frisch 2005[27] USA 17/15 42.25 ± 14.75/38.75 ± 10.64 24 h-UTP > 1.0 g and at least two of risk factors MMF SC 12 14.75/18.75 ①③④
Kobayashi 1996[28] Japan 20/26 30 ± 7/33 ± 10 24 h-UTP ≥ 1.0 g, Ccr ≥ 70 mL/min; total histological score ≥ 7 CS SC 18 120 ①④
Lou 2006[29] China 24/22 29 ± 11/34 ± 11 24 h-UTP:1.0–3.0 g; Scr < 354 μmol/L LEF SC 6 / ②③④
Mao 2009[30] China 19/15/15 36.7 ± 5.6/40.7 ± 11.2/35.4 ± 9.1 Lee's histological grade III–V; 24 h-UTP:1–3 g LEF+CS/TW+CS CS 6 / ②③④
Tu 2019[31] China 34/34 42.9 ± 4.4/42.8 ± 5.6 24 h-UTP ≥ 1.0 g; eGFR > 50 mL/min/1.73 m2 TW+CS CS 12 / ②③④
Bao 2007[32] China 19/18 27.4 ± 10.3/27.6 ± 11.0 Proportion of crescents ≥ 15% MMF+CS CTX+CS 12 12 ①②③④
Li 2016[33] China 42/42 32.10 ± 8.56 Lee's histological grade II–IV LEF SC 12 32.10 ± 8.56 ①③④
Manno 2009[34] Italy 48/49 31.8 ± 11.3/34.9 ± 11.2 Histological grade moderate lesions; 24 h-UTP ≥ 1.0 g; eGFR ≥ 50 mL/min/1.73 m2 CS SC 6 60 (36∼108) ①③④
Min 2017[35] China 40/45 36.90 ± 10.49/36.60 ± 11.53 24 h-UTP ≥ 1.0 g; eGFR ≥ 30 mL/min/1.73 m2 LEF+CS CS 12 87.22 ± 21.24/89.12 ± 22.61 ①②③④
Zhang 2014[36] China 30/26 29.33 ± 12.88/31.22 ± 12.75 Hass histological grade II–IV; 24 h-UTP ≥ 1.0 g TW+CS CS 12 / ③④
Tang 2010[37] China 20/20 42.1 ± 2.6/43.3 ± 2.8 24 h-UTP ≥ 1.0 g MMF SC 6 36 ①③④
Pozzi 1999[38] Italy 43/43 38 (26–45)/40 (29–51) 24 h-UTP:1–3.5 g/d, Scr < 133 μmol/L (1.5 mg/dL) CS SC 6 48 (12–120) ①②③④
Li 2011[39] China 30/30 36.43 ± 14.78/37.66 ± 16.12 Lee's histological grade ≥ III; 24 h-UTP ≥ 1.0 g LEF+CS CS 6 / ②③④
Yang 2016[40] China 52/52 34.4 ± 3.2/34.1 ± 2.3 Lee's histological grade ≥ III; 24 h-UTP ≥ 1.0 g LEF+CS CS 6 / ②③④
Lu 2016[41] China 55/54 41.36 ± 11.76/37.89 ± 11.14 eGFR:30–90 mL/min/1.73 m2 TW CS 12 / ②③④
Zou 2013[42] China 25/32 30.3 ± 10.0/31.5 ± 11.0 Lee's histological grade > II CTX+CS LEF+CS 12 12 ①③
Zhu 2017[43] China 30/30 39.5 ± 12.5/34.9 ± 11.5 24 h-UTP:1.0–3.5 g TW SC 6 / ②③④
Wang 2017[44] China 60/60 37.8 ± 5.7/37.6 ± 5.5 Lee's histological grade III–V; Scr < 150 μmol/L; 24 h-UTP:1.0–3.5 g CsA+CS CS 6 / ②③④
Pozzi 2010[45] Italy 101/106 35.3 ± 3.24/40.65 ± 4.17 Scr ≤ 2.0 mg/dL; 24 h-UTP ≥1.0 g Aza+CS CS 6 58.8 (36,76.8) ①③④
Wang 2013[46] China 20/20/20 40.00 ± 11.64/39.45 ± 12.72/39.40 ± 11.98 Renal histological moderate lesions; 24 h-UTP > 1.0 g/d; eGFR:15–60 mL/min/1.73 m2 MMF+CS/CTX+CS CS 12 24.09 ± 13.86 ①②③④
Zhu 2019[47] China 24/24/24 36.2 ± 5.2/36.4 ± 5.3/36.3 ± 5.2 Hass histological grade > III MMF+CS/CTX+CS CS 6 / ②③④
Yu 2012[48] China 40/22 37.4 ± 10.4/37.3 ± 10.5 24 h-UTP:1–3.5 g TW SC 6 / ②③④
Xiong 2007[49] China 26/21 24.2 ± 8.4/33.3 ± 9.3 24 h-UTP:1–3.5 g; Scr < 133 μmol/L CS SC 12 / ②③④
Zhang 2019[50] China 36/23 35.69 ± 1.63/36.43 ± 2.41 eGFR:15–60 mL/min/1.73 m2; 24 h-UTP > 1.0 g MMF+CS TW 9 / ②③④
Chen 2002[51] China 31/31 28 ± 10/29 ± 10 Lee's histological grade IV–V; 24 h-UTP ≥ 2.0 g; Scr < 355 μmol/L(4 mg/dL) MMF CS >6 18 ②④

Outcomes: ① Renal composite end point incidence; ② Total remission; ③ Incidence of adverse effect; ④ Proteinuria.

Figure 1.

Figure 1

The evidence network graph among different intervention programs. (A) All outcome indicators; (B) renal composite end point incidence; (C) total remission; (D) incidence of adverse effect; (E) proteinuria. The size of nodes reflects the total sample size of participants for each treatment; and the thickness of the line represents the number of related studies.

Figure 2.

Figure 2

Assessment of the risk of bias summary in the study.

3.2. Network meta-analysis

3.2.1. Renal composite end point incidence

Results showed that the risk of endpoint events in high-risk IgAN treated with MMF+CS was lower than that of CTX+CS (RR = 0.22, 95%CI[0.07,0.65]), LEF+CS (RR = 0.18, 95%CI[0.04,0.90]), Aza+CS (RR = 0.09, 95%CI[0.02,0.44]), CS (RR = 0.11, 95%CI[0.04,0.36]), MMF (RR = 0.04, 95%CI[0.01,0.26]), and SC (RR = 0.03, 95%CI[0.01,0.13]); SC had a higher risk of endpoint events than MMF+CS (RR = 29.76, 95%CI[7.64,115.96]), CTX+CS (RR = 6.47, 95%CI[1.85,22.59]), LEF+CS (RR = 5.42, 95%CI[1.23,23.83]), CS (RR = 3.33, 95%CI[1.60,6.93]), and LEF (RR = 7.81, 95%CI[1.72,35.39]). Based on the SUCRA analysis of different schemes intervene high-risk IgAN, MMF+CS may be a less risky option for endpoint events. The ranking results of the risk of end-point events of the 11 treatment options were as follows: MMF+CS(1.9%) < LEF(27.7%) < CTX+CS(29.7%) < LEF+CS(36%) < CS(52.5%) < Aza+CS(58.9%) < CsA+CS(75.2%) < MMF(80.2%) < SC(87.9%) (Table 2, Fig. 3).

Table 2.

Matrix of the risk of renal composite end point incidence.

CS 0.11 (0.04,0.36) 0.52 (0.19,1.43) 0.61 (0.17,2.24) 3.40 (0.11,107.78) 3.33 (1.60,6.93) 1.24 (0.42,3.69) 2.71 (0.65,11.37) 0.43 (0.08,2.29)
8.92 (2.81,28.32) MMF+CS 4.60 (1.53,13.83) 5.49 (1.11,27.02) 30.34 (0.79,1160.59) 29.76 (7.64,115.96) 11.08 (2.27,54.14) 24.21 (3.87,151.38) 3.81 (0.50,29.13)
1.94 (0.70,5.39) 0.22 (0.07,0.65) CTX+CS 1.19 (0.30,4.74) 6.60 (0.18,242.42) 6.47 (1.85,22.59) 2.41 (0.54,10.71) 5.26 (0.91,30.40) 0.83 (0.12,5.89)
1.63 (0.45,5.92) 0.18 (0.04,0.90) 0.84 (0.21,3.33) LEF+CS 5.53 (0.14,221.46) 5.42 (1.23,23.83) 2.02 (0.37,10.94) 4.41 (0.64,30.22) 0.69 (0.08,5.76)
0.29 (0.01,9.32) 0.03 (0.00,1.26) 0.15 (0.00,5.57) 0.18 (0.00,7.24) CsA+CS 0.98 (0.03,33.57) 0.37 (0.01,13.69) 0.80 (0.02,33.65) 0.13 (0.00,5.86)
0.30 (0.14,0.62) 0.03 (0.01,0.13) 0.15 (0.04,0.54) 0.18 (0.04,0.81) 1.02 (0.03,34.90) SC 0.37 (0.10,1.38) 0.81 (0.24,2.78) 0.13 (0.03,0.58)
0.81 (0.27,2.39) 0.09 (0.02,0.44) 0.41 (0.09,1.84) 0.50 (0.09,2.68) 2.74 (0.07,102.61) 2.69 (0.72,9.97) AZA+CS 2.18 (0.36,13.21) 0.34 (0.05,2.54)
0.37 (0.09,1.55) 0.04 (0.01,0.26) 0.19 (0.03,1.10) 0.23 (0.03,1.55) 1.25 (0.03,52.85) 1.23 (0.36,4.21) 0.46 (0.08,2.77) MMF 0.16 (0.02,1.11)
2.34 (0.44,12.54) 0.26 (0.03,2.01) 1.21 (0.17,8.58) 1.44 (0.17,11.94) 7.96 (0.17,371.22) 7.81 (1.72,35.39) 2.91 (0.39,21.49) 6.35 (0.90,44.61) LEF

The values in bold are statistically significant.

Figure 3.

Figure 3

The SUCRA of each outcomes.

3.2.2. The rate of total remission

For rate of total remission, patients received CsA+CS were higher than that treated with CTX+CS (RR = 5.19, 95%CI[1.27,21.21]), LEF (RR = 24.79, 95%CI[3.51,175.23]), CS (RR = 3.84, 95%CI[1.44,10.28]), TW (RR = 4.54, 95%CI[1.33,15.55]) or SC (RR = 14.58, 95%CI[4.43,47.95]). Furthermore, patients accepted TW+CS presented a higher rate of total remission than that accepted CTX+CS (RR = 5.32, 95%CI[1.02,27.81]), CS (RR = 3.94, 95%CI[1.07,14.54]), TW (RR = 4.65, 95%CI[1.04,20.89]), LEF (RR = 25.40, 95%CI[3.00,214.74]), or SC (RR = 14.94, 95%CI[3.45,64.72]). Conversely, LEF therapy was less effective in improving rate of total remission than therapies like MMF+CS (RR = 0.09, 95%CI[0.01,0.55]), LEF+CS (RR = 0.09, 95%CI[0.01,0.55]), CS (RR = 0.16, 95%CI[0.03,0.84]) or MMF (RR = 0.10, 95%CI[0.01,0.89]), and similarly, SC intervention was less effective than interventions including MMF+CS (RR = 0.15, 95%CI[0.06,0.39]), LEF+CS (RR = 0.15, 95%CI[0.06,0.40]), CS (RR = 0.26, 95%CI[0.14,0.51]), MMF (RR = 0.18, 95%CI[0.04,0.77]), and TW (RR = 0.31, 95%CI[0.15,0.67]). SUCRA analysis for rate of total remission of 11 interventions were described as follows in a descending order: CsA+CS(88.6%) > TW+CS(87.4%) > LEF+CS(66.2%) > MMF+CS(66%) > Aza+CS(60.6%) > MMF(58.2%) > CS(41.5%) > TW(36.1%) > CTX+CS(32%) > SC(8.9%) > LEF(4.5%) (Table 3, Fig. 3).

Table 3.

Matrix of comparison of total remission rate.

CS 1.71 (0.86,3.39) 0.74 (0.27,2.04) 1.77 (0.86,3.67) 3.84 (1.44,10.28) 0.26 (0.14,0.51) 3.94 (1.07,14.54) 1.80 (0.12,26.67) 0.85 (0.40,1.77) 1.48 (0.40,5.44) 0.16 (0.03,0.84)
0.59 (0.29,1.16) MMF+CS 0.43 (0.18,1.06) 1.04 (0.39,2.78) 2.25 (0.68,7.44) 0.15 (0.06,0.39) 2.31 (0.53,10.10) 1.05 (0.07,17.03) 0.50 (0.21,1.19) 0.87 (0.20,3.78) 0.09 (0.01,0.55)
1.35 (0.49,3.72) 2.31 (0.94,5.65) CTX+CS 2.39 (0.70,8.23) 5.19 (1.27,21.21) 0.36 (0.11,1.18) 5.32 (1.02,27.81) 2.43 (0.14,43.29) 1.14 (0.35,3.72) 2.00 (0.38,10.39) 0.21 (0.03,1.48)
0.56 (0.27,1.17) 0.96 (0.36,2.58) 0.42 (0.12,1.44) LEF+CS 2.17 (0.64,7.36) 0.15 (0.06,0.40) 2.22 (0.54,9.14) 1.02 (0.06,16.58) 0.48 (0.17,1.35) 0.83 (0.19,3.71) 0.09 (0.01,0.55)
0.26 (0.10,0.70) 0.44 (0.13,1.47) 0.19 (0.05,0.79) 0.46 (0.14,1.56) CsA+CS 0.07 (0.02,0.23) 1.02 (0.20,5.26) 0.47 (0.03,8.26) 0.22 (0.06,0.75) 0.38 (0.08,1.97) 0.04 (0.01,0.29)
3.79 (1.95,7.39) 6.48 (2.58,16.24) 2.81 (0.85,9.27) 6.72 (2.49,18.16) 14.58 (4.43,47.95) SC 14.94 (3.45,64.72) 6.83 (0.43,109.76) 3.21 (1.50,6.86) 5.60 (1.30,24.23) 0.59 (0.12,2.78)
0.25 (0.07,0.94) 0.43 (0.10,1.90) 0.19 (0.04,0.98) 0.45 (0.11,1.85) 0.98 (0.19,5.01) 0.07 (0.02,0.29) TW+CS 0.46 (0.02,9.14) 0.21 (0.05,0.96) 0.38 (0.06,2.37) 0.04 (0.00,0.33)
0.56 (0.04,8.23) 0.95 (0.06,15.31) 0.41 (0.02,7.32) 0.98 (0.06,16.06) 2.13 (0.12,37.63) 0.15 (0.01,2.35) 2.19 (0.11,43.74) Aza+CS 0.47 (0.03,7.70) 0.82 (0.04,16.39) 0.09 (0.00,2.07)
1.18 (0.56,2.48) 2.02 (0.84,4.84) 0.87 (0.27,2.84) 2.09 (0.74,5.91) 4.54 (1.33,15.55) 0.31 (0.15,0.67) 4.65 (1.04,20.89) 2.13 (0.13,34.82) TW 1.75 (0.39,7.81) 0.18 (0.03,1.03)
0.68 (0.18,2.49) 1.16 (0.26,5.04) 0.50 (0.10,2.61) 1.20 (0.27,5.34) 2.60 (0.51,13.32) 0.18 (0.04,0.77) 2.67 (0.42,16.87) 1.22 (0.06,24.34) 0.57 (0.13,2.57) MMF 0.10 (0.01,0.89)
6.45 (1.19,34.92) 11.01 (1.81,66.85) 4.78 (0.67,33.84) 11.43 (1.81,72.16) 24.79 (3.51,175.23) 1.70 (0.36,8.02) 25.40 (3.00,214.74) 11.61 (0.48,279.53) 5.46 (0.97,30.72) 9.53 (1.13,80.44) LEF

The values in bold are statistically significant.

3.2.3. Incidence of adverse events

In patients with high-risk IgAN, CTX+CS showed higher risk in incidence of adverse events compared with MMF+CS (RR = 4.38, 95%CI[1.66,11.58]), LEF+CS (RR = 3.68, 95%CI[1.12,12.13]), CsA+CS (RR = 6.89, 95%CI[1.45,32.75]), MMF (RR = 8.11, 95%CI[1.20,55.08]), LEF (RR = 7.27, 95%CI[1.38,38.20]), TW (RR = 9.44, 95%CI[2.39,37.33]), CS (RR = 4.15, 95%CI[1.56,11.01]), and SC (RR = 13.37, 95%CI[3.79,47.13]). SC notably showed a lower risk in incidence of adverse events compared with LEF+CS (RR = 0.28, 95%CI[0.08,0.90]), TW+CS (RR = 0.18, 95%CI[0.04,0.83]), Aza+CS (RR = 0.12, 95%CI[0.03,0.45]), and CS (RR = 0.31, 95%CI[0.14,0.71]), and TW was associated with lower risk in incidence of adverse events than Aza+CS (RR = 0.17, 95%CI[0.04,0.76]). The SUCRA analysis of the 11 treatment regimens was sequenced as follows: SC(8.8%) < TW(22.2%) < MMF(30.9%) < LEF(33.5%) < CsA+CS(34.5%) < MMF+CS(51.7%) < CS(54.8%) < LEF+CS(59%) < TW+CS(73.4%) < Aza+CS (86.1%) < CTX+CS(95.1%) (Table 4, Fig. 3).

Table 4.

Matrix of the risk of adverse effect incidence.

CS 0.95 (0.40,2.25) 4.15 (1.56,11.01) 1.13 (0.48,2.65) 0.60 (0.18,2.02) 0.31 (0.14,0.71) 1.77 (0.47,6.73) 2.66 (0.90,7.88) 0.44 (0.15,1.28) 0.51 (0.10,2.71) 0.57 (0.15,2.22)
1.06 (0.45,2.51) MMF+CS 4.38 (1.66,11.58) 1.19 (0.37,3.84) 0.64 (0.14,2.81) 0.33 (0.10,1.03) 1.87 (0.39,9.00) 2.81 (0.70,11.22) 0.46 (0.14,1.59) 0.54 (0.08,3.44) 0.60 (0.13,2.91)
0.24 (0.09,0.64) 0.23 (0.09,0.60) CTX+CS 0.27 (0.08,0.89) 0.15 (0.03,0.69) 0.07 (0.02,0.26) 0.43 (0.08,2.20) 0.64 (0.15,2.76) 0.11 (0.03,0.42) 0.12 (0.02,0.84) 0.14 (0.03,0.72)
0.89 (0.38,2.08) 0.84 (0.26,2.71) 3.68 (1.12,12.13) LEF+CS 0.53 (0.12,2.35) 0.28 (0.08,0.90) 1.57 (0.37,6.65) 2.36 (0.59,9.39) 0.39 (0.10,1.51) 0.45 (0.07,2.94) 0.51 (0.10,2.51)
1.66 (0.49,5.58) 1.57 (0.36,6.94) 6.89 (1.45,32.75) 1.87 (0.43,8.24) CsA+CS 0.52 (0.12,2.22) 2.94 (0.49,17.73) 4.42 (0.87,22.44) 0.73 (0.15,3.67) 0.85 (0.11,6.67) 0.95 (0.15,5.84)
3.22 (1.41,7.33) 3.05 (0.97,9.56) 13.37 (3.79,47.13) 3.63 (1.11,11.85) 1.94 (0.45,8.36) SC 5.70 (1.20,27.09) 8.58 (2.20,33.38) 1.42 (0.48,4.20) 1.65 (0.38,7.05) 1.84 (0.62,5.42)
0.56 (0.15,2.15) 0.53 (0.11,2.57) 2.34 (0.46,12.08) 0.64 (0.15,2.70) 0.34 (0.06,2.05) 0.18 (0.04,0.83) TW+CS 1.50 (0.27,8.37) 0.25 (0.05,1.37) 0.29 (0.03,2.45) 0.32 (0.05,2.15)
0.38 (0.13,1.11) 0.36 (0.09,1.42) 1.56 (0.36,6.72) 0.42 (0.11,1.68) 0.23 (0.04,1.15) 0.12 (0.03,0.45) 0.66 (0.12,3.70) Aza+CS 0.17 (0.04,0.76) 0.19 (0.03,1.40) 0.21 (0.04,1.22)
2.27 (0.78,6.59) 2.15 (0.63,7.36) 9.44 (2.39,37.33) 2.56 (0.66,9.94) 1.37 (0.27,6.87) 0.71 (0.24,2.10) 4.02 (0.73,22.18) 6.05 (1.32,27.68) TW 1.16 (0.19,7.11) 1.30 (0.28,6.02)
1.96 (0.37,10.34) 1.85 (0.29,11.77) 8.11 (1.20,55.08) 2.20 (0.34,14.30) 1.18 (0.15,9.25) 0.61 (0.14,2.60) 3.46 (0.41,29.32) 5.21 (0.71,38.02) 0.86 (0.14,5.26) MMF 1.12 (0.18,6.83)
1.75 (0.45,6.81) 1.66 (0.34,7.99) 7.27 (1.38,38.20) 1.97 (0.40,9.79) 1.05 (0.17,6.49) 0.54 (0.18,1.60) 3.10 (0.47,20.64) 4.66 (0.82,26.45) 0.77 (0.17,3.57) 0.90 (0.15,5.48) LEF

The values in bold are statistically significant.

3.2.4. Proteinuria

The improvement of proteinuria was remarkable in the MMF+CS group in comparison with CTX+ CS (RR = 0.34, 95%CI[0.02,0.67]), LEF+CS (RR = 0.53, 95%CI[0.04,1.02]), Aza+CS (RR = 0.85, 95%CI[0.25,1.45]), MMF (RR = 0.74, 95%CI[0.15,1.32]), TW (RR = 0.85, 95%CI[0.39,1.32]), CS (RR = 0.64, 95%CI[0.30,0.97]), and SC (RR = 1.07, 95%CI[0.65,1.48]). Instead, compared with SC, CTX+CS (RR = 0.72, 95%CI[0.26,1.18]), LEF+CS (RR = 0.53, 95%CI [0.09,0.98]), CsA+CS (RR = 0.70, 95%CI[0.20,1.19]), TW+CS (RR = 0.89, 95%CI[0.34,1.44]), CS (RR = 0.43, 95%CI [0.16,0.70]), and LEF (RR = 0.59, 95%CI [0.14,1.04]) led to notably reduction in proteinuria. In addition, combination therapies TW+CS were superior to TW (RR = 0.68, 95%CI[0.05,1.31]). Results of SUCRA analysis in reducing proteinuria was detailed as follows: MMF+CS(95.1%) > TW+CS(82.8%) > CTX+CS(69.7%) > CsA+CS(68%) > LEF(58.2%) > LEF+CS(52.4%) > CS(40.7%) > MMF(33%) > Aza+CS(23.5%) > TW(21.8%) > SC(4.9%) (Table 5, Fig. 3).

Table 5.

Matrix of the effect of reducing proteinuria.

CS 0.64 (0.97,0.30) −0.29 (−0.68,0.09) −0.11 (−0.46,0.25) −0.27 (−0.69,0.15) 0.43 (0.16,0.70) −0.46 (−0.95,0.02) 0.21 (−0.28,0.71) 0.22 (−0.19,0.62) 0.10 (−0.39,0.59) −0.16 (−0.68,0.36)
0.64 (0.30,0.97) MMF+CS 0.34 (0.02,0.67) 0.53 (0.04,1.02) 0.37 (−0.17,0.91) 1.07 (0.65,1.48) 0.18 (−0.42,0.77) 0.85 (0.25,1.45) 0.85 (0.39,1.32) 0.74 (0.15,1.32) 0.48 (−0.14,1.09)
0.29 (−0.09,0.68) 0.34 (0.67,0.02) CTX+CS 0.19 (−0.34,0.71) 0.03 (−0.54,0.60) 0.72 (0.26,1.18) −0.17 (−0.79,0.45) 0.51 (−0.12,1.14) 0.51 (−0.01,1.03) 0.39 (−0.22,1.01) 0.13 (−0.51,0.78)
0.11 (−0.25,0.46) 0.53 (1.02,0.04) −0.19 (−0.71,0.34) LEF+CS −0.16 (−0.71,0.39) 0.53 (0.09,0.98) −0.36 (−0.89,0.18) 0.32 (−0.30,0.94) 0.32 (−0.22,0.87) 0.21 (−0.40,0.81) −0.05 (−0.69,0.58)
0.27 (−0.15,0.69) −0.37 (−0.91,0.17) −0.03 (−0.60,0.54) 0.16 (−0.39,0.71) CsACS 0.70 (0.20,1.19) −0.19 (−0.84,0.45) 0.48 (−0.17,1.13) 0.48 (−0.10,1.07) 0.37 (−0.28,1.01) 0.11 (−0.56,0.78)
0.43 (0.70,0.16) 1.07 (1.48,0.65) 0.72 (1.18,0.26) 0.53 (0.98,0.09) 0.70 (1.19,0.20) SC 0.89 (1.44,0.34) −0.21 (−0.78,0.35) −0.21 (−0.62,0.20) −0.33 (−0.78,0.12) 0.59 (1.04,0.14)
0.46 (−0.02,0.95) −0.18 (−0.77,0.42) 0.17 (−0.45,0.79) 0.36 (−0.18,0.89) 0.19 (−0.45,0.84) 0.89 (0.34,1.44) TW+CS 0.68 (−0.02,1.37) 0.68 (0.05,1.31) 0.56 (−0.13,1.25) 0.30 (−0.41,1.01)
−0.21 (−0.71,0.28) 0.85 (1.45,0.25) −0.51 (−1.14,0.12) −0.32 (−0.94,0.30) −0.48 (−1.13,0.17) 0.21 (−0.35,0.78) −0.68 (−1.37,0.02) Aza+CS 0.00 (−0.64,0.65) −0.11 (−0.81,0.58) −0.37 (−1.10,0.35)
−0.22 (−0.62,0.19) 0.85 (1.32,0.39) −0.51 (−1.03,0.01) −0.32 (−0.87,0.22) −0.48 (−1.07,0.10) 0.21 (−0.20,0.62) 0.68 (1.31,0.05) −0.00 (−0.65,0.64) TW −0.12 (−0.71,0.47) −0.38 (−0.99,0.23)
−0.10 (−0.59,0.39) 0.74 (1.32,0.15) −0.39 (−1.01,0.22) −0.21 (−0.81,0.40) −0.37 (−1.01,0.28) 0.33 (−0.12,0.78) −0.56 (−1.25,0.13) 0.11 (−0.58,0.81) 0.12 (−0.47,0.71) MMF −0.26 (−0.90,0.38)
0.16 (−0.36,0.68) −0.48 (−1.09,0.14) −0.13 (−0.78,0.51) 0.05 (−0.58,0.69) −0.11 (−0.78,0.56) 0.59 (0.14,1.04) −0.30 (−1.01,0.41) 0.37 (−0.35,1.10) 0.38 (−0.23,0.99) 0.26 (−0.38,0.90) LEF

The values in bold are statistically significant.

3.3. Cluster analysis

A cluster analysis based on SUCRA of the incidence of renal composite end point, rate of total remission and incidence of adverse events was carried out for demonstrating the efficacy and safety of the different interventions in high-risk IgAN. The SUCRA of incidence of adverse events, rate of total remission and incidence of renal composite end point represented safety, short-term efficacy, and long-term efficacy, respectively. Results indicated that MMF+CS and LEF+CS were top two best choice for protecting patients form high-risk IgAN. Despite benefits in short-term efficacy and safety about CsA+CS has been suggested, the long-term efficacy was still unsatisfactory. Moreover, SC showed benefits in safety with poor short- and long-term efficacy, other protocols has displayed no significant benefits in efficacy and safety (Fig. 4A). In addition, we also did cluster analysis for renal composite end point, proteinuria and incidence of adverse events, and found that MMF + CS was still the best treatment (Fig. 4B).

Figure 4.

Figure 4

Cluster analysis of efficacy and safety of different treatment schemes (The size of the points represents the number of related studies).

3.4. Subgroup and sensitivity analyses

Studies[52,53] have reported that races and follow-up duration may affect the effects of immunosuppressants. Therefore, we divided the included studies into Asian subgroup[9,1620,22,24,26,2833,3537,3944,4651] (China and Japan) and European and American subgroup[21,23,25,27,34,38,45] (United States, Italy, Greece, and Belgium). The results showed that the long-term effect and proteinuria were improved in MMF group among Asian population with high-risk IgAN, and the efficacy of other interventions was consistent across ethnic groups.

In addition, we divided the included studies into long-term follow-up subgroup[20,23,28,3435,3738,45] (≥3 years) and short-term follow-up subgroup[9,1618,2122,24,2627,3233,42,46] (<3 years). Results showed that the long-term effect of MMF increased and that of CTX+CS decreased with the increase of follow-up duration.

Crescentic IgAN is a special type of high-risk IgAN. In order to test the sensitivity of this network meta-analysis, a sensitivity analysis was conducted after removing 3 studies about crescentic[18,22,32] IgAN, and the results was consistent except for the decreased efficacy of CTX+CS.

3.5. Inconsistency and publication bias

We tested the inconsistency of the closed-loop formed by each outcome index. Our results showed that no significant difference between the closed loops existed, indicating that, the consistency model was reliable (Table 6). Furthermore, based on the node-splitting model, we further tested the inconsistency between the comparisons of each head-to-head treatment schemes. There is no significant difference in outcomes.

Table 6.

Inconsistency between closed loops of different indicators.

Outcomes Closed loops IF P 95%CI (truncated)
Renal composite end point incidence CS-CTX+CS-LEF+CS 0.696 .510 (0.00,2.77)
CS-MMF+CS-CTX+CS 0.339 .844 (0.00,3.72)
Total remission CS-MMF+CS-CTX+CS 1.006 .339 (0.00,3.07)
CS-LEF+CS-TW+CS 0.769 .603 (0.00,3.27)
CS-SC-TW 0.015 .990 (0.00,2.44)
CS-MMF+CS-TW 0.038 .973 (0.00,2.23)
Incidence of adverse effect CS-LEF+CS-TW+CS 2.180 .196 (0.00,5.49)
CS-SC-TW 1.166 .216 (0.00,3.01)
CS-MMF+CS-CTX+CS 0.803 .675 (0.00,4.55)
CS-CTX+CS-LEF+CS 0.068 .970 (0.00,3.59)
CS-MMF+CS-TW 0.024 .992 (0.00,4.85)
Proteinuria CS-SC-MMF 1.344 .051 (0.00,2.69)
CS-MMF+CS-TW 0.770 .124 (0.00,1.75)
CS-MMF+CS-CTX+CS 0.591 .078 (0.00,1.25)
CS- LEF+CS-TW+CS 0.455 .069 (0.00,0.95)
CS-SC-TW 0.358 .542 (0.00,1.51)

The comparison adjusted funnel plot with fitting auxiliary line was made for each outcomes. The results showed that the funnel plots were basically symmetrical, indicating that there was no publication bias in included studies, or publication bias did not affect the results of this network meta-analysis (Fig. 5).

Figure 5.

Figure 5

Funnel chart of different outcome indicators. (A) Renal composite end point incidence; (B) total remission; (C) incidence of adverse effect; (D) proteinuria. (A:CS, B:MMF+CS, C:CTX+CS, D:LEF+CS, E:CsA+CS, F:SC, G:TW+CS, H:Aza+CS, I:TW, J:MMF, K:LEF).

4. Discussion

Renin-angiotension-aldosterone system (RAAS) inhibitors are considered as the basic supportive treatment for IgAN recommended by The Kidney Disease: Improving Global Outcomes (KDIGO) guidelines.[54] However, some patients still manifest as persistent urine protein excretion >1 g/24 h after a maximal tolerated or allowed daily dose of RAAS inhibitors for a minimum of 3 months. IgAN is an autoimmune disease and immune complex mediating “Multi-hits” may ultimately lead to glomerular lesions and interstitial fibrosis,[55] indicating the therapeutical potential of immunosuppressants. Evidence obtained from clinical trials has demonstrated the beneficial effects of immunosuppressive therapies in high-risk IgAN,[9] and consistent results have been showed by meta-analysis subsequently. Of note, clinical studies mentioned also pointed out that long-term benefits of immunosuppressive drugs was poor due to serious adverse events. The need of seeking a safe and effective immunosuppressive protocol for high-risk IgAN is extremely urgent.

Our network meta-analysis indicated that MMF+CS conferred a lower risk of renal endpoint events in high-risk IgAN indicating a better long-term effect. MMF is a new immunosuppressant with less side effects in the treatment of IgAN. After 6 years follow-up, Tang et al,[37] found that MMF could not only reduce the proteinuria level and the eGFR decline of IgAN patients, but also display long-term renal protection. And the results were consistent with a recent meta-analysis reported by Du et al.[52] Furthermore, our subgroup analysis showed that the efficacy of MMF was better in Asian population, and the effects increased with the increase of follow-up duration. LEF showed the second best long-term benefits in this study, and the clinical effect was improved by the combination of LEF and CS. Chen et al found that LEF combined with CS significantly reduced urinary protein, improved albumin and eGFR in patients with IgAN compared with supportive care.[56] The similar results has been obtained from a meta-analysis.[57] We found that the long-term efficacy of CTX+CS was better, but its safety concerns may restrict the possible benefits, which was in accordance with the study conducted by Woo et al with a minimum 10 years follow-up.[58] Our subgroup analysis suggested that CTX+CS showed beneficial effects in crescent IgAN. When the crescent IgAN was removed, the efficacy lost its advantage, and the efficacy became worse with the increase in follow-up duration. In addition, CsA had a significant improvement in rate of total remission in this meta-analysis. Ihm et al,[59] found that the long-term efficacy and safety of low-dose CsA combined with CS in IgAN was better than that of high-dose steroid alone. However, clinical evidence on CsA in the treatment of IgAN was few, and more RCTs were needed to further confirm the efficacy and safety of CsA+CS in high-risk IgAN. Our study found that supportive care performed best in safety but worst in the incidence of renal composite end point, total remission rate and adverse events, cluster analysis of different protocols in the treatment of high-risk IgAN showed that MMF+CS and LEF+CS displayed better efficacy and safety; The therapeutical effect of CTX+CS in high-risk IgAN accompanied with serious safety concerns, while supportive therapy was safe but had no significant benefit in the long-term course; Other protocols showed no significant benefits in efficacy and safety.

Proteinuria is validated as the prognostic urine biomarker for IgAN.[5] Zhao et al,[60] confirmed that albumin-to-creatinine ratio(ACR) and 24 h-UTP was associated with severe clinical symptoms and pathological lesions of IgAN. Recently, Reich et al[61] found that the time-average proteinuria (TAp) (mean value of proteinuria every 6 months) was an important predictor for prognosis of IgAN after average of 6.5 years follow-up. Increase of TAp is related to the decrease of renal function. For patients with IgAN whose Tap > 1 g, the risk of ESRD will increase 3 to 10 times. The correlation between TAp and renal survival has also been confirmed in recent studies.[62,63] These studies indicated reduction in proteinuria can improve renal prognosis. Our study found that MMF + CS has a great improvement in proteinuria, and the effect of supportive care was the worst.

IgAN at different risks may respond differently to CS and/or immunosuppressants, which previous meta-analyses may not consider. Our study avoided this heterogeneity and only included high-risk IgAN patients. To the best of our knowledge, our study is the first to evaluate the efficacy and safety of different immunosuppressants in high-risk IgAN. However, there are some limitations in this study. First of all, the sample size of most included RCTs is small, which may limit the accuracy of the results of this study. Second, the dosage and treatment duration of immunosuppressive agents were not considered in this study, which may lead to some deviation in the research results. Third, some studies have found that there are racial differences in the therapeutic effect of some immunosuppressants.[52] Given that most of RCTs included were conducted in Asia, the results of this study cannot explain whether racial differences affect the therapeutic effect of immunosuppressants. Finally, some emerging immunosuppressants, such as Budesonide, were not included in this meta-analysis. Thus, the optimal treatment for high-risk IgAN still needs more RCTs and meta-analysis to reach a reliable conclusion.

5. Conclusion

In this network meta-analysis, MMF+CS was the best option for high-risk IgAN compared with other immunosuppressive therapies, followed by LEF+CS. However, conclusions need to be explained with caution due to limitations in this study. Well-design prospective RCTs are still required to further provide strong evidence for the results and guide the clinical use of immunosuppressants in the treatment of high-risk IgAN.

Author contributions

Conceptualization: Yongli Zhan.

Data curation: Huimin Mao, Liping Yang.

Formal analysis: Yongli Zhan.

Validation: Yuyang Wang.

Writing – original draft: Tongtong Liu.

Writing – review & editing: Tongtong Liu.

Footnotes

Abbreviations: Aza = azathioprine, CS = corticosteroids, CsA = cyclosporine A, CTX = cyclophosphamide, eGFR = estimated glomerular filtration rate, ESRD = end-stage renal disease, LEF = leflunomide, MMF = mycophenolate mofetil, SC = supportive care, SUCRA = surface under the cumulative ranking curves, TAp = time-average proteinuria, TW = tripterygium wilfordii.

How to cite this article: Liu T, Wang Y, Mao H, Yang L, Zhan Y. Efficacy and safety of immunosuppressive therapies in the treatment of high-risk IgA nephropathy: a network meta-analysis. Medicine. 2021;100:8(e24541).

Data extraction and statistical analysis: TTL and YYW. Quality assessment: HMM and LPY. Review of the articles: YLZ.

This study is supported by the Fundamental Research Funds for the Central public welfare research institutes (ZZ13-YQ-031).

The authors have no conflicts of interest to disclose.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data availability statement: All data relevant to the study are included in the article or uploaded as supplementary information.

The datasets generated during and/or analyzed during the present study are available from the corresponding author on reasonable request.

References

  • [1].Moriyama T. Clinical and histological features and therapeutic strategies for IgA nephropathy. Clin Exp Nephrol 2019;23:1089–99. [DOI] [PubMed] [Google Scholar]
  • [2].Zhang L, Liu X, Pascoe EM, et al. Long-term outcomes of end-stage kidney disease for patients with IgA nephropathy: a multi-centre registry study. Nephrology 2016;21:387–96. [DOI] [PubMed] [Google Scholar]
  • [3].Barbour SJ, Reich HN. Risk stratification of patients with IgA nephropathy. Am J Kidney Dis 2012;59:865–72. [DOI] [PubMed] [Google Scholar]
  • [4].Le WB, Liang SS, Hu YL. Long-term renal survival and related risk factors in patients with IgA nephropathy: results from a cohort of 1155 cases inn, a Chinese adult population. Nephrol Dial Transplant 2012;27:1479–85. [DOI] [PubMed] [Google Scholar]
  • [5].Moriyama T, Tanaka K, Iwasaki C, et al. Prognosis in IgA nephropathy: 30-year analysis of 1,012 patients at a single center in Japan. PLoS One 2014;9:e91756. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6].Liu Y, Hu Q, Shen P, et al. Clinical and pathological analysis of IgA nephropathy with chronic renal failure. Ren Fail 2016;38:1347–52. [DOI] [PubMed] [Google Scholar]
  • [7].Tan JX, Dong LQ, Ye DH, et al. The efficacy and safety of immunosuppressive therapies in the treatment of IgA nephropathy: a network meta-analysis. Sci Rep 2020;10:6062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [8].Wang W, Chen N. Treatment of progressive IgA nephropathy: an update. Contrib Nephrol 2013;181:75–83. [DOI] [PubMed] [Google Scholar]
  • [9].Lv J, Zhang H, Wong MG, et al. Effect of oral methylCSnisolone on clinical outcomes in patients with IgA nephropathy: the TESTING randomized clinical trial. JAMA 2017;318:432–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10].Rauen T, Fitzner C, Eitner F, et al. Effects of two immunosuppressive treatment protocols for IgA nephropathy. J Am Soc Nephrol 2017;29:317–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [11].Natale P, Palmer SC, Ruospo M, et al. Immunosuppressive agents for treating IgA nephropathy. Cochrane Database Syst Rev 2020;3:CD003965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [12].Higgins JP, Green S. Cochrane handbook for systematic reviews of interventions (Version 5.1.0). [Updated March 2011], The Cochrane Collaboration, 2011. [Google Scholar]
  • [13].Hutton B, Salanti G, Caldwell DM, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med 2015;162:777–84. [DOI] [PubMed] [Google Scholar]
  • [14].Coppo R. Clinical and histological risk factors for progression of IgA nephropathy: an update in children, young and adult patients. J Nephrol 2017;30:339–46. [DOI] [PubMed] [Google Scholar]
  • [15].Rauen T, Eitner F, Fitzner C, et al. Intensive supportive care plus immunosuppression in IgA nephropathy. N Engl J Med 2015;373:2225–36. [DOI] [PubMed] [Google Scholar]
  • [16].Cheng G, Liu D, Margetts P, et al. Valsartan combined with clopidogrel and/or leflunomide for the treatment of progressive immunoglobulin A nephropathy. Nephrology 2015;20:77–84. [DOI] [PubMed] [Google Scholar]
  • [17].Liu X, Dewei D, Sun S, et al. Treatment of severe IgA nephropathy: mycophenolate mofetil/CSnisone compared to cyclophosphamide/CSnisone. Int J Clin Pharmacol Ther 2013;52:95–102. [DOI] [PubMed] [Google Scholar]
  • [18].Hou JH, Le WB, Chen N, et al. Mycophenolate mofetil combined with CSnisone versus full-dose CSnisone in IgA nephropathy with active proliferative lesions: a randomized controlled trial. Am J Kidney Dis 2017;69:788–95. [DOI] [PubMed] [Google Scholar]
  • [19].Xu L, Liu ZC, Guan GJ, et al. Cyclosporine A combined with medium/low dose CSnisone in progressive IgA nephropathy. Kaohsiung J Med Sci 2014;30:390–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [20].Katafuchi R, Ikeda K, Mizumasa T, et al. Controlled, prospective trial of steroid treatment in IgA nephropathy: a limitation of low-dose CSnisolone therapy. Am J Kidney Dis 2003;41:972–83. [DOI] [PubMed] [Google Scholar]
  • [21].Maes BD, Oyen R, Claes K, et al. Mycophenolate mofetil in IgA nephropathy: results of a 3-year prospective placebo-controlled randomized study. Kidney Int 2004;65:1842–9. [DOI] [PubMed] [Google Scholar]
  • [22].Liang Y, Zhang JJ, Liu DW, et al. Retrospective study of mycophenolate mofetil treatment in IgA nephropathy with proliferative pathological phenotype. Chin Med J 2014;127:102–8. [PubMed] [Google Scholar]
  • [23].Pozzi C, Andrulli S, Pani A, et al. IgA nephropathy with severe chronic renal failure: a randomized controlled trial of corticosteroids and azathioprine. J Nephrol 2012;26:86–93. [DOI] [PubMed] [Google Scholar]
  • [24].Liu H, Xu X, Fang Y, et al. Comparison of glucocorticoids alone and combined with Cyclosporine A in patients with IgA nephropathy: a prospective randomized controlled trial. Intern Med 2014;53:675–81. [DOI] [PubMed] [Google Scholar]
  • [25].Lv JC, Zhang H, Chen YQ, et al. Combination therapy of prednisone and ACE inhibitor versus ACE-inhibitor therapy alone in patients with IgA nephropathy: a randomized controlled trial. Am J Kidney Dis 2009;53:26–32. [DOI] [PubMed] [Google Scholar]
  • [26].Frisch G, Lin J, Rosenstock J, et al. Mycophenolate mofetil (MMF) vs placebo in patients with moderately advanced IgA nephropathy: a double-blind randomized controlled trial. Nephrol Dial Transplant 2005;20:2139–45. [DOI] [PubMed] [Google Scholar]
  • [27].Kobayashi Y, Hiki Y, Kokubo T, et al. Steroid therapy during the early stage of progressive IgA nephropathy. A 10-year follow-up study. Nephron 1996;72:237–42. [DOI] [PubMed] [Google Scholar]
  • [28].Lou TQ, Wang C, Chen ZJ, et al. Randomised controlled trial of leflunomide in the treatment of immunoglobulin A Nephropathy. Nephrology 2006;11:113–6. [DOI] [PubMed] [Google Scholar]
  • [29].Mao RY, Zhang YY, Sun WX, et al. Comparison clinical effect of lefunomide combined with medium dose glucocorticoid, triptolide with medium dose glucocorticoid, routine dose glucocorticoid for IgA nephropathy of medium albuminuria. Chin J Inte Trad West Nephrol 2009;10:604–6. [Google Scholar]
  • [30].Stangou M, Ekonomidou D, Giamalis P, et al. Steroids and azathioprine in the treatment of IgA nephropathy. Clin Exp Nephrol 2011;15:373–80. [DOI] [PubMed] [Google Scholar]
  • [31].Tu X. Clinical effect of Tripterygium wilfordii glycoside combined with prednisone on IgA nephropathy with renal dysfunction. Chin J Clin Rat Drug Use 2019;12:81–3. [Google Scholar]
  • [32].Bao H, Tang Z, Yu YS, et al. Mycophenolate mofetil versus intermittent cyclophosphamide pulse therape in patients with crescentic IgA nephropathy. Chin J Nephrol Dial Transpl 2007;16:401–405+413. [Google Scholar]
  • [33].Li HJ, Cheng GY, Xiao J, et al. Clinical study of leflunomide combined with clopidogrel in the treatment of IgA nephropathy. J Pra Med 2016;32:3260–3. [Google Scholar]
  • [34].Manno C, Torres DD, Rossini M, et al. Randomized controlled clinical trial of corticosteroids plus ACE-inhibitors with long-term follow-up in proteinuric IgA nephropathy. Nephrol Dial Transplant 2009;24:3694–701. [DOI] [PubMed] [Google Scholar]
  • [35].Min LL, Wang Q, Cao L, et al. Comparison of combined leflunomide and low-dose corticosteroid therapy with full-dose corticosteroid monotherapy for progressive IgA nephropathy. Oncotarget 2017;8:48375–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [36].Zhang YH, Shi HG, Chen Z, et al. Effect of Tripterygium wilfordii glycoside combined with low dose glucocorticoid on IgA nephropathy with renal dysfunction. Chin J Inte Trad West Nephrol 2014;15:341–3. [Google Scholar]
  • [37].Tang SCW, Tang AWC, Wong SSH, et al. Long-term study of mycophenolate mofetil treatment in IgA nephropathy. Kidney Int 2010;77:543–9. [DOI] [PubMed] [Google Scholar]
  • [38].Pozzi C, Bolasco PG, Fogazzi GB, et al. Corticosteroids in IgA nephropathy: a randomised controlled trial. Lancet 1999;353:883–7. [DOI] [PubMed] [Google Scholar]
  • [39].Li T, Feng AQ, Liu YZ, et al. study on effect of Leflunomide combined with glucocorticoid in the treatment of progressive IgA nephropathy. Mod J Inte Trad Chin West Med 2011;20:13–5. [Google Scholar]
  • [40].Yang YQ, Chang XD, Cheng ML, et al. Effect of leflunomide combined with glucocorticoid in the treatment of progressive IgA nephropathy and its influence on VCAM-1 level. Pro Mod Biomed 2016;16:2134–7. [Google Scholar]
  • [41].Lu XM, Tang XL, Qin DY, et al. Treatment of Tripterygium wilfordii Hook F combined with RAS blockers in CKD stages 2∼3 of IgA nephropathy. J Pra Med 2016;32:137–9. [Google Scholar]
  • [42].Zou YR, Li GS, Zhang P, et al. Cyclophosphamide versus leflunomide combined with prednisone respectively in treatment of chronic progressive IgA nephropathy. Chin J Inte Trad West Nephrol 2013;14:1059–61. [Google Scholar]
  • [43].Zhu LB, Wang J, Liu LL, et al. Tripterygium wilfordii Hook F combined with angiotensin receptor blocker in the treatment of IgA nephropathy with moderate proteinuria. Chin J Prac Intern Med 2017;37:549–51. [Google Scholar]
  • [44].Wang XW, Wang AW, Zhang QQ, et al. Research of cyclosporine a combined with union/low-dose prednisone on the treatment of progressive IgA nephropathy. Chin J Pharmacoepidemiol 2017;26:168–170+218. [Google Scholar]
  • [45].Pozzi C, Andrulli S, Pani A, et al. Addition of azathioprine to corticosteroids does not benefit patients with IgA nephropathy. J Am Soc Nephrol 2010;21:1783–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [46].Wang WM, Jia XY, Pan XX, et al. Clinical study on treatment of IgA nephropathy with renal insufficiency by corticosteroid, corticosteroid combined with cyclophosphamide and corticosteroid combined with mycophenolate mofetil. J of SHJT Univer 2013;33:162–167+173. [Google Scholar]
  • [47].Zhu MZ, Zhong RQ, Tong Y. Analysis on effects of different treatment regimens for patients with IgA nephropathy. J Clin Nephrol 2019;19:512–5. [Google Scholar]
  • [48].Yu XF, Huang ZD. Fosinopril combined with Tripterygium wilfordii glycoside in the treatment of IgA nephropathy with moderate proteinuria. Chin J Inte Trad West Nephrol 2012;13:438–9. [Google Scholar]
  • [49].Xiong ZB, Luo Q, Xiong ZY, et al. Corticosteroid intermissive pulse and maintained low-dose therapy in IgA nephropathy: a randomised controlled clinical trial. Chin J Inte Trad West Nephrol 2007;8:20–3. [Google Scholar]
  • [50].Zhang C, Yu L, Tang L. Efficacy of low-dose prednisone combined with MMF for IgA nephropathy with mild or moderate renal injury. J Medical Forum 2019;40:22–4. [Google Scholar]
  • [51].Chen XM, Chen P, Cai GY, et al. A randomized control trial of mycophenolate mofeil treatment in severe IgA nephropathy. Natl Med J China 2002;82:7–12. [PubMed] [Google Scholar]
  • [52].Du B, Jia Y, Zhou WH, et al. Efficacy and safety of mycophenolate mofetil in patients with IgA nephropathy: an update meta-analysis. BMC Nephrol 2017;18:245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [53].Pozzi C. Pro: STOP immunosuppression in IgA nephropathy? Nephrol Dial Transplant 2016;31:1766–70. [DOI] [PubMed] [Google Scholar]
  • [54].KDIGO. Chapter 10: Immunoglobulin A nephropathy. Kidney Int Suppl 2012;2:s209–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [55].Hussain TA, Hussein MH, Mana HA, et al. Pathophysiology of IgA Nephropathy. Adv Anat Pathol 2017;24:56–62. [DOI] [PubMed] [Google Scholar]
  • [56].Shasha C, Qing Y, Song R, et al. A comparison of the effectiveness of cyclophosphamide, leflunomide, corticosteroids, or conservative management alone in patients with IgA nephropathy: a retrospective observational study. Sci Rep 2018;8:13662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [57].Yi J, He Z, Xu S, et al. Efficacy and safety of leflunomide in IgA nephropathy: a systematic review and meta-analysis. Int Urol Nephrol 2019;51:1987–98. [DOI] [PubMed] [Google Scholar]
  • [58].Woo KT, Lee GSL, Lau YK, et al. Effects of triple therapy in IgA nephritis: A follow-up study 5 years later. Clin Nephrol 1991;36:60–6. [PubMed] [Google Scholar]
  • [59].Ihm HS, Lee JY, Hwang HS, et al. Combination therapy of low-dose cyclosporine and steroid in adults with IgA nephropathy. Clin Nephrol 2019;92:131–40. [DOI] [PubMed] [Google Scholar]
  • [60].Zhao YF, Zhu L, Liu LJ, et al. Measures of urinary protein and albumin in the prediction of progression of IgA nephropathy. Clin J Am Soc Nephrol 2016;11:947–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [61].Reich HN, Troyanov S, Scholey JW, et al. Remission of proteinuria improves prognosis in IgA nephropathy. J Am Soc Nephrol 2007;18:3177–83. [DOI] [PubMed] [Google Scholar]
  • [62].Cristina S, Carmine T, Francesca F, et al. Corticosteroid treatment influences TA-proteinuria and renal survival in IgA nephropathy. PLoS One 2016;11:e0158584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [63].Coppo R, Troyanov S, Bellur S, et al. Validation of the Oxford classification of IgA nephropathy in cohorts with different presentations and treatments. Kidney Int 2014;86:828–36. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Medicine are provided here courtesy of Wolters Kluwer Health

RESOURCES