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Clinical characteristics of Polish patients with ANCA-associated vasculitides—retrospective analysis of POLVAS registry

  • K. Wójcik
  • K. Wawrzycka-Adamczyk
  • A. Włudarczyk
  • J. Sznajd
  • Z. Zdrojewski
  • A. Masiak
  • Z. Czuszyńska
  • M. Majdan
  • R. Jeleniewicz
  • M. Klinger
  • K. Jakuszko
  • O. Rowaiye
  • M. Brzosko
  • M. Milchert
  • A. Dębska-Ślizień
  • H. Storoniak
  • W. Tłustochowicz
  • J. Kur-Zalewska
  • M. Wisłowska
  • M. Madej
  • A. Hawrot-Kawecka
  • P. Głuszko
  • E. Kucharz
  • Jacek MusiałEmail author
Open Access
Original Article

Abstract

Objective

Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAV) are rare small to medium-size vessel systemic diseases. As their clinical picture, organ involvement, and factors influencing outcome may differ between countries and geographical areas, we decided to describe a large cohort of Polish AAV patients coming from several referral centers—members of the Scientific Consortium of the Polish Vasculitis Registry (POLVAS).

Methods

We conducted a systematic multicenter retrospective study of adult patients diagnosed with AAV between Jan 1990 and Dec 2016 to analyze their clinical picture, organ involvement, and factors influencing outcome. Patients were enrolled to the study by nine centers (14 clinical wards) from seven Voivodeships populated by 22.3 mln inhabitants (58.2% of the Polish population).

Results

Participating centers included 625 AAV patients into the registry. Their distribution was as follows: 417 patients (66.7%) with GPA, 106 (17.0%) with MPA, and 102 (16.3%) with EGPA. Male-to-female ratios were almost 1:1 for GPA (210/207) and MPA (54/52), but EGPA was twice more frequent among women (34/68). Clinical manifestations and organ involvement were analyzed by clinical phenotype. Their clinical manifestations seem very similar to other European countries, but interestingly, men with GPA appeared to follow a more severe course than the women. Fifty five patients died. In GPA, two variables were significantly associated with death: permanent renal replacement therapy (PRRT) and respiratory involvement (univariate analysis). In multivariate analysis, PRRT (OR = 5.3; 95% confidence interval (CI) = 2.3–12.2), respiratory involvement (OR = 3.2; 95% CI = 1.06–9.7), and, in addition, age > 65 (OR = 2.6; 95% CI = 1.05–6.6) were independently associated with death. In MPA, also three variables were observed to be independent predictors of death: PRRT (OR = 5.7; 95% CI = 1.3–25.5), skin involvement (OR = 4.4; 95% CI = 1.02–19.6), and age > 65 (OR = 6.3; 95% CI = 1.18–33.7).

Conclusions

In this first multicenter retrospective study of the Polish AAV patients, we have shown that their demographic characteristics, disease manifestations, and predictors of fatal outcome follow the same pattern as those from other European countries, with men possibly suffering from more severe course of the disease.

Keywords

Antineutrophil cytoplasmic antibodies Churg-Strauss syndrome Microscopic polyangiitis Registries Wegener’s granulomatosis 

Introduction

Vascultides are a heterogeneous group of rare diseases with unknown etiology and the clinical spectrum ranging from life-threatening systemic disease, through single organ involvement to minor isolated skin changes [1, 2]. Present nomenclature and definitions of systemic vasculitides have been proposed in 2012 at the International Chapel Hill Consensus Conference (CHCC 2012) [3]. Among various forms of vasculitic syndromes (antineutrophil cytoplasmic antibody (ANCA)-associated vasculitides (AAV)), belong to the small to medium-size vessel systemic diseases comprising granulomatosis with polyangiitis (GPA, previously known as Wegener’s granulomatosis (WG), microscopic polyangiitis (MPA), and eosinophilic granulomatosis with polyangiitis (EGPA, previously known as Churg-Strauss syndrome (CSS)). Despite progress made in the management of AAV, those patients still remain at an increased risk of death. Recent publication indicates that standardized mortality ratio in AAV patients is 2.7-fold higher compared with the general population [4].

Epidemiology and clinical characteristics of AAV have been described in several studies, most often, however, analyzing jointly GPA and MPA [5, 6] and considering both entities as a spectrum of the same pathological process. EGPA patients were usually analyzed separately [5, 7]. However, ANCA specificity, clinical phenotype, and outcome of AAV patients may differ depending on geographic area and ethnicity [8, 9, 10].

For this reason, we decided to study in a retrospective manner immunologic profile, clinical picture, and the disease outcome in ethically uniform Polish AAV patients depending on their phenotype. We also attempted to identify in these patients poor outcome predictors. As studies on Polish AAV patients were usually limited to one center, including single diagnosis and relatively small number of patients [11, 12], we established Scientific Consortium of the Polish Vasculitis Registry (POLVAS) [13, 14, 15] to increase substantially the number of analyzed subjects.

Methods

We conducted a multicenter retrospective study of all adult patients diagnosed with AAV by participating centers between 1990 and 2016. Their clinical and laboratory data were collected in POLVAS registry [13] by nine referral centers (14 clinical wards) from seven Voivodeships with 22.3 mln inhabitants, encompassing 58.2% of the Polish population. Specialties of the centers included rheumatology (10), nephrology (2), metabolic diseases (1), and clinical immunology (1). The work described in this article has been carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans; the locally appointed ethics committee of each partner has approved the research protocol, and informed consent has been obtained from the subjects (or their legally authorized representative). Study protocol was approved by Bioethical Commission of Jagiellonian University, decision No 122.6120.25.2016. Only patients who met the American College of Rheumatology (ACR) classification criteria for GPA(WG) or EGPA(CSS) and fulfilled requirements for the nomenclature of GPA, MPA, and EGPA according to CHCC 2012 [3] were included in the study. Specific organ involvement, disease relapse, and disease remission were defined retrospectively according to BVAS v3 [16]. Patients diagnosed with AAV according to medical documentation but lost to follow-up at the time of data collection were not included to the study.

Following data were systematically collected according to the common protocol: demographics, clinical, laboratory, radiographic, pathology, and treatment details. ANCA positivity in the earliest patients included into Registry (1990–2000) was detected by an indirect immunofluorescence (IIF) method only and identified as cANCA or pANCA positivity. Later, ANCA positivity was detected by both, ELISA (anti-PR3 or anti-MPO antibodies) and, if necessary, by IIF.

Statistical analysis

Categorical data were summarized as percentages; significant differences or associations were analyzed using the χ2 test or Fisher’s exact tests. Continuous variables are presented as mean and/or median and interquartile range [IQR], depending on normality of data distribution demonstrated by Kolmogorov–Smirnov test. Associations of quantitative data were analyzed with Student’s t test and with the nonparametric Mann–Whitney U test or the Kruskal–Wallis test. For analysis of risks related to mortality and the need for permanent renal replacement therapy (PRRT), variables shown to be statistically significant in the univariate analysis were further analyzed in a multivariate logistic regression model. Statistical analysis was performed using Statistica 13 software.

Results

Demographic analysis of AAV patients

Participating centers included a total of 625 adult AAV patients into our retrospective registry. All patients were uniformly Caucasian. Demographic data of our AAV patients and basic information about their ANCA status are given in Table 1. Among 625 patients, only 26 (4.2%) were diagnosed between 1990 and 2000 with the remaining 599 subjects diagnosed after the year 2000.
Table 1

Demographic, clinical characteristics, and ANCA status of AAV patients in the POLVAS Registry

 

GPA

MPA

EGPA

GPA vs MPA

GPA vs EGPA

MPA vs EGPA

No. of patients

417

106

102

p

Male/female

210/207

54/52

34/68

NS

< 0.01

< 0.05

Age (years); median, [range]

51.4 [13–80]

63.7 [19–85]

44.5 [9–85]

< 0.01

< 0.05

< 0.0001

ANCA positive1; n (%)

376 (93.3)

104 (98.1)

43 (47.8)

NS

< 0.00001

< 0.00001

ANCA negative; n (%)

26 (6.7)

2 (1.9)

47 (52.2)

ANCA–missing data/not performed

15

0

12

cANCA/anti-PR32

344 (85.6)

9 (8.5)

10 (11.1)

< 0.00001

< 0.00001

< 0.00001

pANCA/anti-MPO3

19 (4.7)

87 (82.1)

28 (31.1)

Double positive2

13 (3.2)

6 (5.7)

2 (2.2)

Time to diagnosis4 (month); median, [IQR]

5.95 [2.95–14.0]

5.01 [2–10.95]

14.9 [7.7–34.8]

NS

< 0.001

< 0.0001

  Organ involvement

    General n (%)

355 (85.1)

83 (78.3)

87 (85.3)

NS

NS

NS

      Skin n (%)

140 (33.6)

24 (22.6)

51 (50)

< 0.05

< 0.01

< 0.001

      Eye n (%)

114 (27.3)

4 (3.8)

6 (5.9)

< 0.0001

< 0.0001

NS

      ENT n (%)

315 (75.5)

18 (17.0)

82 (80.4)

< 0.0001

NS

< 0.0001

    Respiratory n (%)

315 (75.5)

60 (56.6)

100 (98.0)

< 0.0001

< 0.0001

< 0.0001

      Heart n (%)

55 (13.2)

11 (10.4)

43 (42.2)

NS

< 0.0001

<0.0001

      GI n (%)

46 (11.0)

12 (11.3)

25 (24.5)

NS

< 0.001

< 0.05

    Renal n (%)

252 (60.4)

101 (95.3)

25 (24.5)

< 0.0001

< 0.0001

< 0.0001

      Urinary n (%)

8 (1.9)

3 (2.8)

0

NS

NS

NS

    CNS n (%)

45(10.8)

2 (1.9)

8 (7.8)

< 0.01

NS

< 0.05

    Neurological n (%)

75 (18.0)

20 (18.9)

50 (49.0)

NS

< 0.0001

< 0.0001

Creatinine max5 (mg/dl); median, [IQR]

1.04 [1.0–3.0]

3.8 [2.0–6.0]

0.84 [0.7–1.0]

< 0.0001

< 0.0001

< 0.0001

Number of organs involved; mean (median), [IQR]

3.27 (3) [2–4]

2.4 (2) [2–3]

3.82 (4) [3–5]

< 0.0001

< 0.01

< 0.0001

Observation time (month); median, [IQR]

61.9 [24.3–104.3]

27.4 [10.5–48.8]

68 [35.3–113.1]

< 0.0001

NS

< 0.0001

Patients with relapse n (%)

243 (58.3)

27 (25.5)

70 (68.6)

< 0.00001

NS

< 0.00001

  Relapse rate&

18.0 ± 0.8

12.0 ± 1.9

25.2 ± 1.9

< 0.05

< 0.05

< 0.01

Time to relapse6 (month); median, [IQR]

16 [8–31]

17 [9–45]

11 [4.5–19]

NS

< 0.001

< 0.05

CTX median7 (g); [IQR]

9 [5.35–16]

5 [2–7]

6 [5.7–8.36]

< 0.0001

NS

NS

Permanent renal replacement therapy n (%)

55 (13.2)

36 (34)

0

< 0.0001

< 0.0001

< 0.0001

Temporary renal replacement therapy n (%)

32(7.7)

11 (10.4)

0

NS

< 0.01

< 0.001

&Relapse rate = number of relapses per 100 patients per 1 year

1Positive by either IIF or ELISA, or both

2Positive for either cANCA by IIF or anti-PR3 by ELISA, or both

3Positive for either pANCA by IIF or anti-MPO by ELISA, or both

4Time from reported onset of symptoms to diagnosis

5Creatinine max-maximum creatinine concentration ever

6Time to relapse = time in months between diagnosis and the first disease relapse

7Cumulative dose of cyclophosphamide (CTX)

ENT, ear, nose, throat; CNS, central nervous system; GI, gastrointestinal tract; IQR, interquartile range, CTX, cyclophosphamide

AAV patients from POLVAS registry included 66.7% diagnosed with GPA, 17.0% with MPA, and 16.3% with EGPA. As in other European countries, male-to-female ratio was almost 1:1 for GPA (210/207) and MPA (54/52). Unexpectedly, EGPA was diagnosed twice more often among women (Table 1).

Demographic characteristics of AAV patients according to their ANCA specificity

In our cohort, 127 subjects were identified with anti-MPO+ and 334 with anti-PR3+ (see Suppl. Tab.S1 and S2). Analysis by antibody specificity did not add important new information to the one obtained by phenotype analysis. Understandably, EGPA demographic characteristic significantly differed from that of MPA—main AAV group with anti-MPO+ antibodies. Surprisingly, the age at diagnosis in EGPA anti-MPO+ subgroup and male to female ratio (1:1) was similar to other anti-MPO+ positive AAV patients (median age at diagnosis 56.9 years vs 63.1 years; p = 0.25) (Suppl. Tab.S1 and S3).

Clinical manifestations of AAV

Organ involvement and laboratory parameters of different AAV phenotypes are summarized in Table 1. The main organs affected in GPA and EGPA were respiratory tract and ENT, whereas in MPA, kidneys followed by lower respiratory tract. EGPA was the entity characterized by the highest number of organs involved. Heart and neurological involvement was also highly represented in this group as compared to GPA and MPA. In terms of kidney function, the highest (ever documented) maximal serum creatinine concentration was observed in MPA patients, as was the need for temporary or permanent RRT.

Interestingly, 2.9% of patients with GPA (10 out of 342 in whom differential blood count was available) showed increased blood eosinophil count (defined as > 1500 cells/mm3 or > 10% of total leukocyte count).

Disease relapses were not only prevalent in GPA patients but also affected many EGPA subjects with the shortest time between diagnosis and the first relapse in the latter. Relapse rate (expressed as number of relapses per 100 patients/years) was higher among GPA (18.0) and EGPA (25.2) patients than in the MPA group (12.0) (Table 1). Of note, in our cohort, the average observation time in MPA group was significantly shorter (median 27.4 months) than in GPA (61.9 months) and EGPA (68 months).

Biopsy was performed in 381 (61%) cases (renal-106, lung-65, muscle, nerve-1, ENT-115, skin-42, eye-5, muscle-4, intestine-9, other-31). The diagnosis of vasculitis was supported by histopathology in 310 (81.4%) subjects.

Factors related to poor outcome

Among all AAV subjects who died during retrospective observation (n = 55; 8.8%), 42 suffered from GPA and 13 from MPA, which corresponds to 10.1% and 12.3% of patients, respectively (Table 2). AAV patients who died showed higher serum creatinine concentration ever observed, more often required permanent RRT, and suffered from multiorgan disease (Table 2).
Table 2

Factors related to death in AAV patients

 

GPA

MPA

 

Death cases

Alive patients

Death cases

Alive patients

No. of patients

42

375

13

93

Age (years); median

55.5

51.1

71.1

62.9+

Male/female

26/16

184/191

6/7

48/45

Time to diagnosis1 (month); median, [IQR]

6.0 [4.0–14]

5.9 [3.0–13.9]

4.0 [1.8–7.4]

5.3 [2.0–12.0]

Diagnosis to 1. Relapse (month); median, [IQR]

12 [7.8–24]

18 [8.5–33.5]

26.5 [14.25–39] n = 5

17 [9–45]

Average observation time (month)

66.2

72.6+

20.55

36.2

Number of organs involved; mean (median), [IQR]

3.73 (4) [3–4]

3.22 (3) [2–4]*

3.15 (3) [2–4]

2.3 (2) [2–3]*

Permanent renal replacement therapy; n (%)

15 (35.7)

40 (10.7)#

8 (61.5)

28 (30.1)#

Temporary renal replacement therapy; n (%)

4 (9.5)

28 (7.5)

1 (7.7)

10 (10.7)

Patients with at least one relapse; n (%)

28 (66.7)

214 (57.1)#

5 (38.4)

22 (23.7)#

Relapse rate&

26.4 ± 3.4

19.2 ± 1.0

26.4 ± 10.8

12.0 ± 2.4

  Organ involvement

    General; n (%)

37 (88.1)

318 (84.8)

12 (92.3)

71 (76.3)

      Skin; n (%)

17 (40.5)

123 (32.8)

6 (46.1)

18 (19.3)*

      Eye; n (%)

7 (16.7)

107 (28.5)

0 (0)

4 (4.3)

      ENT; n (%)

31 (73.8)

284 (75.7)

5 (38.4)

13 (13.9)*

    Respiratory; n (%)

38 (90.5)

277 (73.9)*

9 (69.2)

51 (54.8)

      Heart; n (%)

8 (19.1)

47 (12.5)

0 (0)

11 (11.8)

      GI; n (%)

6 (14.3)

40 (10.7)

3(23.1)

9 (9.7)

    Renal; n (%)

32 (76.2)

220 (58.7)*

12 (92.3)

89 (95.6)

      Urinary; n (%)

1 (2.4)

7 (1.7)

0

3 (3.2)

    CNS; n (%)

6 (14.3)

39 (10.4)

2 (15.4)

0 (0)

      Peripheral nerves; n (%)

11 (26.1)

64 (17.1)

4 (30.8)

16 (17.2)

Creatinine max2; (mg/dl); median [IQR]

3 [1.0–6.7]

1.03 [1.0–2.8]*

5 [4.0–6.2]

3 [2.0–6.0]+

CRP at baseline (mg/l); median, [IQR]

64 [22.5–130]

33.2 [8.9–92.8]

49 [33.3–116.5]

30.5 [13.0–81.0]

CTX (g)3; median, [IQR]

7.1 [3.0–13.5]

9 [6–16.2]

1.5 [1.0–3.25]

5.1 [2.4–8.0]+

Smoker/previous smoker/no/missing (n)4

3/7/10/22

22/65/173/92

0/1/5/7

5/36/34/17

*p < 0.05; +p < 0.01; #p < 0.001

&Relapse rate = number of relapses per 100 patient per 1 year

1Time from reported onset of symptoms to diagnosis

2Maximal serum creatinine concentration ever. Values after initiation of renal replacement therapy are excluded

3Cumulative dose of cyclophosphamide (CTX)

4Statistical analysis compared smokers and previous smokers vs no (subjects who never smoked)

ENT, ear, nose, throat; CNS, central nervous system; GI, gastrointestinal tract, IQR, interquartile range, CTX, cyclophosphamide, numbers in italic - significant statistical difference between groups

The age of GPA patients who died did not differ from those who remained alive, but it appears that there were slightly more men (26 men vs 16 women), although this difference did not reach statistical significance. GPA patients who died showed more frequently respiratory and kidney involvement and were more prone to relapse, while MPA patients were older, and showed higher rate of skin and ENT involvement (Table 2).

Analysis of factors related to death in AAV identified various aspects of kidney involvement as a key health issue in both GPA and MPA. This prompted us to investigate which factors differentiated between patients requiring temporary or permanent renal replacement therapy from those who did not (Table 3).
Table 3

Factors related to renal replacement therapy in AAV patients

 

GPA

MPA

No RRT

Any RRT

No RRT

Any RRT

No. of patients

330

87

59

47

Age (years); median

50.1

56.5#

60.5

64.7

Male/female

157/173

53/34*

32/27

22/25

Time to diagnosis1 (month); median [IQR]

6.0 [3.0–14.1]

4.95 [2.0–10]

3.9 [2.0–13.6]

5.8 [2–10.5]

Diagnosis to 1. Relapse (month); median, [IQR]

17.5 [8–30]

15 [10–33]

27 [13–48]

17 [7.5–28]

Average observation time (month)

75.1

82.8

39.9

31.7

Number of organs involved; mean (median) [IQR]

3.25 (3) [2–4]

3.35 (3) [2–4]

2.37 (2) [2, 3]

2.44 (2) [2, 3]

Permanent renal replacement therapy n (%)

NA

55 (63.2)

NA

36 (76.6)

Temporary renal replacement therapy n (%)

NA

32 (36.8)

NA

11 (23.4)

Death; n (%)

23 (7.0)

19 (21.8)#

4 (6.8)

9 (19.1)

Patients with relapse n (%)

196 (59.4)

46 (52.9)

15 (25.4)

12 (25.5)

Relapse rate&

19.2 ± 1.0

15.0 ± 1.6

10.8 ± 2.4

14.4 ± 4.8

  Organ involvement

    General n (%)

274 (83.0)

81 (93.1)

45 (76.3)

38 (80.8)

      Skin n (%)

112 (33.9)

28 (32.2)

16 (27.1)

8 (17)

      Eye n (%)

100 (30.3)

14(16.1)

4 (6.8)

0 (0)

      ENT n (%)

271 (82.1)

44 (50.6)#

9 (15.3)

9 (19.1)

    Respiratory n (%)

245 (74.2)

70(80.5)

33 (55.9)

27 (57.5)

      Heart n (%)

43 (13.0)

12(13.8)

4 (6.8)

7 (14.9)

      GI n (%)

32 (9.7)

14 (16.1)

3 (5.1)

9 (19.1)*

    Renal n (%)

165 (50)

87 (100)

55 (93.2)

47 (100)

      Urinary n (%)

5 (1.5)

3(3.4)

2 (3.4)

1(2.1)

    CNS n (%)

37 (11.2)

8 (9.2)

0 (0)

2 (4.2)

      Peripheral nerves n (%)

64 (19.4)

11 (12.6)

14 (23.7)

6 (12.8)

Creatinine max2; (mg/dl); median, [IQR]

1 [1.0–1.7]

6.0 [4.5–8.1]#

2.07 [1.2–3.0]

6.1 [5.0–7.75]#

CRP at baseline (mg/l); median, [IQR]

32 [8.7–88.7]

54 [18–138]*

30 [16–76.6]

34.8 [11.1–103.5]

CTX (g)3; median, [IQR]

9 [6–17]

7.2 [4–15]

6.3 [3.5–9.6]

2.4 [1.3–5.0]#

Smoker/previous smoker/no/missing (n)4

19/52/160/77

6/20/23/36+

4/18/25/11

1/19/14/13

See Table 2 for legend

In general, MPA patients significantly more often required RRT than the GPA ones (44% vs 21%; p < 0.0001). GPA patients who were never dialyzed (330; 79%) were on average 7 years younger (47.6 years vs 54.3 years p < 0.001) and showed ENT involvement significantly more frequently than those dialyzed. Again, men prevailed among GPA patients requiring dialysis (M/F, 53/34; p < 0.05). Dialyzed GPA patients also showed significantly higher serum CRP concentration at baseline (median 54 mg/l vs 32 mg/l; p < 0.05).

In the subgroup of MPA patients defined by dialysis status, no differences in their demographic characteristics were observed. The only clinical difference was GI tract involvement which was more common in dialyzed patients (19.1% vs 5.1%, p < 0.05) (Table 3).

Patients who died, both in GPA and MPA group experienced disease relapses more often. For this reason, we decided to analyze further possible factors influencing relapse rate (Suppl. Tab. S4).

In the GPA group (during an average observation time of 49.1 months), 175 patients (42%) never experienced a relapse, while 58% experienced at least one relapse (average observation time 96.7 months). In MPA patients, only 27 patients (34%) relapsed (average observation time in relapsing group—64.2 months). Observation time in both subgroups differed, but after adjustment for the duration of the disease, their relapse rate was very similar (Suppl. Tab. S4).

Relapsing GPA patients were younger than the subgroup without any relapse. They also showed increased ENT and eye involvement (81% vs 68%; p < 0.01 and 31.8% vs 21.1%; p < 0.01) and low rate of GI tract involvement (5.8% vs 14.1%; p < 0.01).

Relapsing MPA subgroup did not differ by age from the non-relapsing ones. Clinical differences between these groups resembled, although less significantly, GPA subjects.

As we observed, an increased participation of men among those GPA patients who died and those requiring RRT (Table 2 and Suppl. Tab. S4), we decided to see into possible differences in the disease course and organ involvement between male and female AAV subjects.

Surprisingly, in the GPA group, male patients compared to women showed significantly more often respiratory (81.4% vs 69.6%; p < 0.01) and renal (70.9% vs 49.8%; p < 0.00001) involvement, but suffered from ENT symptoms slightly less frequently (71.4% vs 79.7%; p < 0.05). Higher rate of renal and lung involvement in men may have facilitated final diagnosis exemplified by a significantly shorter time to diagnosis in male GPA patients (median 4.9 months vs 7.0 months; p < 0.01; see Tab.4). In contrast, men and women in the MPA (Table 4) and EGPA (data not shown) groups showed only single, isolated differences.
Table 4

Demographic characteristics and comparison of organ involvement and laboratory parameters of GPA and MPA patients (male vs female)

 

GPA

MPA

Male

Female

Male

Female

No. of patients

210

207

54

52

Age (years); median

51.0

52.6

60.7

66.1

Time to diagnosis1 (month); median, [IQR]

4.9 [2.24–12.0]

7.0 [3.0–20.4]+

3.9 [2–9.2]

6.9 [2–12.8]

Diagnosis to 1. Relapse (month); median [IQR]

14 [7.5–31.5]

21.5 [10–30]

16 [9–45]

18.5 [13.75–39]

Average observation time (month); (median), [IQR]

77.4 (59.0) [23.4–106.1]

75.9 (62.4) [22.3–71.5]

37.7 (27.9)[10.8–52.7]

34.6 (23.9) [8.5–43.6]

Number of organs involved; mean (median) [IQR]

3.37 (3) [2–4]

3.17 (3) [2–4]

2.62 (2) [2–3.75]

2.17 (2) [1–3]

Permanent renal replacement therapy n (%)

32 (15.2)

23 (11.1)

18 (33.3)

18 (34.6)

Temporary renal replacement therapy n (%)

21 (10)

11 (5.3)

4 (7.4)

7 (13.5)

Death n (%)

26 (12.4)

16 (7.7)

6 (11.1)

7 (13.5)

Patients with relapse n (%)

130 (61.9)

112 (54.1)

15 (27.7)

12 (23.1)

Relapse rate&

19.2 ± 1.2

16.8 ± 1.2

13.2 ± 2.4

10.8 ± 2.4

Organ involvement

    General n (%)

180 (85.7)

175 (84.5)

39 (72.2)

44 (84.6)

      Skin n (%)

74 (35.2)

66 (31.9)

12 (22.2)

12 (23.1)

      Eye n (%)

46 (21.9)

68 (32.8)

2 (3.7)

2 (3.9)

      ENT n (%)

150 (71.4)

165 (79.7)*

11 (20.4)

7 (13.5)

    Respiratory n (%)

171 (81.4)

144 (69.6)+

34 (62.9)

26 (50.0)

      Heart n (%)

31 (14.8)

24 (11.6)

8 (14.8)

3 (5.8)

      GI n (%)

21 (10.0)

25 (12.1)

8 (14.8)

4 (7.7)

    Renal n (%)

149 (70.9)

103 (49.8)#

51 (94.4)

50 (96.2)

      Urinary n (%)

4 (1.9)

4 (1.9)

2 (3.7)

1 (1.9)

    CNS n (%)

22 (10.5)

23 (11.1)

2 (3.7)

0 (0)

      Peripheral nerves n (%)

40 (19.1)

35 (16.9)

12 (22.2)

8 (15.4)

Creatinine max2 (mg/dl); median, [IQR]

1.6 [1.0–4.52]

1.0 [0.9–2.0]#

3.0 [1.85–5.37]

4.3 [2.0–6.14]

Subjects with renal involvement creatinine max (mg/dl); median, [IQR]

2.5 [1.3–5.7]

2.0 [1–4.0]*

  

Subjects without renal involvement creatinine max (mg/dl); median, [IQR]

1.0 [0.99–1]

1.0 [0.8–1]

  

CRP at baseline (mg/l); median, [IQR]

46 [10–115.5]

31 [8–89]

35 [19–86]

32 [10–78]

CTX (g)3; median, [IQR]

9 [5–20]

8 [5.7–14.5]

6 [2–9.25]

3.5 [1.5–7]*

Smoker/previous smoker/no/missing (n)4

20/48/69/61

5/24/114/52#

5/24/11/13

0/23/29/0+

See Table 2 for legend

To identify factors independently related to death and the requirement for PRRT in AAV patients, we additionally performed logistic regression analysis (Table 5). For analysis, we have chosen parameters significantly different between groups (death vs alive; any RRT vs no RRT) in previous analyses (p < 0.05). Analysis included whole AAV group (here specificity of ANCA antibodies was also added), GPA, and MPA. EGPA group was not included as there was only one death among EGPA patients, and no need for renal replacement therapy was reported. In the whole AAV group, independent risk factors for death in univariate analysis were PRRT, kidney involvement, age > 65 years, and the presence of c/PR3 ANCA, while in multivariate analysis, it included PRRT, respiratory involvement, age > 65 years, and the presence of c/PR3 ANCA. As PRRT risk factors univariate analysis identified: relapsing disease, age > 65, p/MPO ANCA, and ENT involvement as a factor negatively associated with PRRT, whereas multivariate analysis confirmed only a role of ENT involvement and the presence of p/MPO ANCA, and added as a significant, although weak risk factor, the presence of c/PR3 ANCA.
Table 5

Factors related to death and PRRT in whole AAV, GPA and MPA groups according to univariate and multivariate logistic regression

 

Death

 

PRRT

Univariate

OR

Cl 95%

Multivariate

OR

Cl 95%

Univariate

OR

Cl 95%

Multivariate

OR

Cl 95%

ALL AAV

ALL AAV

Gender

NS

  

NS

  

Gender

NS

  

NS

  

Relapse

NS

  

NS

  

Relapse

p < 0.02

1.8

1.1–2.8

NS

  

PRRT

p < 0.001

5.7

3.1–10.3

p < 0.001

6.3

3.3–11.9

Kidney inv

p < 0.001

3.5

1.7–7.2

NS

  

Respiratory inv

NS

  

p < 0.03

2.6

1.1–5.9

Respiratory inv

NS

  

NS

  

ENT inv

NS

  

NS

  

ENT inv

p < 0.000001

0.2

0.1–0.3

p < 0.000001

0.2

0.1–0.4

Diagnosis > 65 years

p < 0.002

2.8

1.5–5.2

p < 0.001

3.4

1.7–6.8

Diagnosis > 65 years

p < 0.002

2.3

1.4–3.9

NS

  

cANCA/PR3

p < 0.02

2.3

1.2–4.6

p < 0.002

3.3

1.6–7.0

cANCA/PR3

NS

  

p < 0.02

2.0

1.1–3.6

pANCA/MPO

NS

  

NS

  

pANCA/MPO

p < 0.0001

2.6

1.6–4.0

p < 0.006

2.2

1.3–3.9

GPA

GPA

Gender

NS

  

NS

  

Gender

NS

  

NS

  

Relapse

NS

  

NS

  

Relapse

NS

  

NS

  

PRRT

p < 0.001

4.6

2.2–9.4

p < 0.001

5.3

2.3–12.2

No of organs inv

NS

  

p < 0.001

1.4

1.1–1.8

Kidney inv

NS

  

NS

  

Respiratory inv

p < 0.05

3.2

1.09–9.2

p < 0.05

3.2

1.06–9.7

Respiratory inv

NS

  

NS

  

ENT inv

NS

  

NS

  

ENT inv

p < 0.001

0.2

0.1–0.4

p < 0.001

0.16

0.1–0.3

Diagnosis > 65 years

NS

  

p < 0.05

2.6

1.05–6.6

Diagnosis > 65 years

NS

  

NS

  

MPA

MPA

Gender

NS

  

NS

  

Gender

NS

  

NS

  

Relapse

NS

  

NS

  

Relapse

NS

  

NS

  

PRRT

p < 0.05

3.7

1.1–12.5

p < 0.05

5.7

1.3–25.5

Respiratory inv

NS

  

NS

  

Skin inv

p < 0.05

3.6

1.1–12.1

p < 0.05

4.4

1.02–19.6

ENT inv

p < 0.05

3.8

1.1–13.8

NS

  

Diagnosis > 65 years

p < 0.05

5.0

1.3–19.9

p < 0.05

6.3

1.18–33.7

Diagnosis > 65 years

NS

  

NS

  

In GPA patients, univariate analysis identified the following risk factors related to death: PRRT and lower respiratory tract involvement. Multivariate analyses added elder age at diagnosis (> 65 years). Analysis of risk factors for PRRT identified ENT involvement as a factor negatively associated with risk of dialysis by both univariate and multivariate analysis. In addition, multivariate analyses identified multiorgan disease as directly and independently related to PRRT (p < 0.01).

In MPA patients, factors related to death by univariate analysis include PRRT, skin and ENT involvement, and the age > 65 years at diagnosis. Multivariate logistic regression analyses confirmed significance of all three factors. In the MPA group, among factors analyzed, none was identified by regression analysis as related to PRRT.

Discussion

POLVAS registry is the first large database of AAV patients in Poland. Data were obtained from tertiary reference centers representing several specialties to cover a spectrum of different possible symptomatology at presentation and during the course of the disease [17]. In general, major demographic characteristics and patterns of organ involvement in our ethnically homogenous Caucasian population were consistent with already published major AAV series from the UK, French, and Spanish cohorts [8, 9], [18, 19, 20]. Frequency of AAV was also typical for other European countries. Male to female ratio was 1:1 for GPA and MPA, and 1:2 in for EGPA. This corresponds to other recently published Polish report [21] and, unexpectedly, to data obtained in the Japanese population [22], but differs from the results published by French Vasculitis Study Group and from Spain [19, 20]. As the proportion of anti-MPO positive and anti-MPO negative EGPA patients in our cohort was similar to the one observed in other European countries [2], higher proportion of women in our registry may represent a true difference between Central and South-Western Europe. Ethnic and geographic differences in epidemiology and clinical presentation of AAV have been already described in other populations throughout the world [8, 9], [10, 23].

At this point, it is important to note that there were important differences within EGPA group depending on their ANCA status. The presence of anti-MPO ANCA in EGPA not only modified the age at disease diagnosis but also its clinical manifestations. This is in accordance with other clinical reports describing ANCA-positive EGPA patients [11, 19]. EGPA may also pose some problems with definitions. For example, in our cohort, the highest frequency of relapses was surprisingly observed in EGPA patients. However, it might rather reflect asthma exacerbations than true vasculitic relapse [24]. It is than well substantiated to analyze EGPA patients separately from other AAV subjects [25] with ANCA status as an important differentiating factor [26]. Of interest, almost 3% of our GPA patients in whom differential blood smear was available showed increased blood eosinophil count as defined by Lanham [27].

Usually, AAVs are characterized by a multisystem involvement. Accordingly, in Polish patients, the highest number of organs involved was found in the EGPA group (median 3.84 organs), followed by GPA (3.27), and finally MPA (2.4), which was consistent with recently published data [18]. Differences between clinical presentation and laboratory findings in GPA and MPA exist, but they overlap making differential diagnosis between these two clinical entities often difficult. As it could be expected, also in POLVAS patients, 14% of pANCA/anti-MPO positive subjects were diagnosed with GPA while 5% of MPA (or EGPA) patients showed cANCA/anti-PR3 positivity.

In recent decades, a significant progress has been made in effective treatment of AAV, an often life-threatening multi-organ systemic diseases. The 5-year survival rate is now estimated by some authors at 94.5% [28]. Others report the 5-year survival in GPA ranging between 73 and 83% and in MPA, between 45 and 85% [23, 29]. Despite a significant improvement in survival noted between the last decades of the twentieth century as compared to recent years [28, 29], mortality in AAV is still about three times higher than in the general population [28, 29]. For this reason, it seems of utmost importance to identify factors related to the poor outcome in AAV patients.

In POLVAS AAV patients, predictors of death identified by logistic regression analysis slightly differed depending on the AAV phenotype. Independent risk factors for death in both GPA and MPA patients included age at diagnosis over 65 years, chronic renal replacement therapy, and lower respiratory tract involvement. In addition, in MPA, skin involvement was also independently associated with mortality which might represent a more generalized disease. Overall, our results concur with the findings from other AAV cohorts [9, 20, 30]. However, a word of caution is required while comparing different reports, as sometimes terms defining kidney disease differed, including “any renal involvement” or “increased serum creatinine concentration” [9, 20, 31]. To clarify this issue, we performed additional analyses applying those different definitions of renal involvement. Only PRRT and maximal creatinine concentration ever (data not shown) remained independently associated with death in our AAV cohort. The general term “kidney involvement” did not reach statistical significance in these analyses (p = 0.064).

As PRRT was independently associated with death in both GPA and MPA, we further attempted to identify risk factors associated with PRRT. Again, the factors slightly differed depending on the AAV phenotype. In GPA, a number of organs involved was positively associated with PRRT while ENT involvement seemed to represent a protective factor. This latter finding indicates that, in fact, limited form of GPA is characterized by a more benign disease course [32]. Logistic regression analysis of the whole AAV group with the addition of ANCA specificity identified the presence of c/PR3 ANCA (for death) and of both, c/PR3 and p/MPO ANCA for PRRT. We did not analyzed risk factors for relapse (as an outcome measure) in our patients as we identified time from diagnosis (the length of retrospective observation) as the main factor associated with the first and further relapse episodes.

Analysis of outcome in GPA patients suggested that there were more men among those patients who died, although, in our hands, this difference was not statistically significant. Men were more prevalent among chronically dialyzed subjects with GPA (see Table 4.). This corroborated with a higher rate of kidney and lower respiratory tract involvement and lower rate of ENT involvement—all factors identified as independently related to poor prognosis. An increase in mortality during the first 2 years of AAV was already observed among Swedish AAV patients [33]. Interestingly, delay from the first symptoms of disease to diagnosis was in males shorter than in females. Thus, it was not an unduly delayed diagnosis but rather a truly more severe disease course from the beginning which characterizes men with GPA. Indeed, there are some reports suggesting that, at least in terms of kidney involvement, this might be the case [34, 35, 36]. These results also raise the question about the most appropriate treatment regimen and monitoring in men with GPA.

The already mentioned, higher mortality observed during the first 2 years from AAV diagnosis in Swedish men changed to a higher mortality in women but only after about 8 years of observation [33]. Longer times of observation of our cohort may be needed to confirm those findings. In POLVAS registry, median observation time slightly exceeded 5 years in GPA and EGPA subjects and about 2.5 years in MPA patients.

Less than 5% of patients in our cohort was recruited between 1990 and 2000. The main reasons were possibly: the availability of ANCA tests and less well-defined entities inside AAVgroup. This is nicely reflected in the recent report from French Vasculitis Study Group showing a dramatic change in proportion of patients diagnosed with polyarteritis nodosa and GPA in the last decades of the twentieth century as compared with the years after 2000 [28].

Properly planned prospective clinical trials are needed to offer definite answers to the questions raised by our data.

Summary

In summary, this is the first multicenter retrospective study of Polish patients with AAV. Demographic characteristics and disease manifestation of patients in POLVAS registry are similar to those from other European countries. Following independent risk factors related to death were identified in both GPA and MPA: age at diagnosis > 65 years and PRRT. In addition, risk factors for death in GPA included lower respiratory tract involvement and in MPA, skin involvement. We also identified more frequent kidney and lower respiratory tract involvement in male patients with GPA. This observation requires confirmation in prospective clinical trials, and maybe a change in the therapeutic approach in male patients.

Notes

Funding

This work was supported by Jagiellonian University Medical College grant no. K/ZDS/007903.

Compliance with ethical standards

Disclosures

None.

Supplementary material

10067_2019_4538_MOESM1_ESM.docx (31 kb)
ESM 1 (DOCX 31 kb)

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© The Author(s) 2019

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • K. Wójcik
    • 1
  • K. Wawrzycka-Adamczyk
    • 1
  • A. Włudarczyk
    • 1
  • J. Sznajd
    • 2
    • 3
  • Z. Zdrojewski
    • 4
  • A. Masiak
    • 4
  • Z. Czuszyńska
    • 4
  • M. Majdan
    • 5
  • R. Jeleniewicz
    • 5
  • M. Klinger
    • 6
  • K. Jakuszko
    • 6
  • O. Rowaiye
    • 6
  • M. Brzosko
    • 7
  • M. Milchert
    • 7
  • A. Dębska-Ślizień
    • 8
  • H. Storoniak
    • 8
  • W. Tłustochowicz
    • 9
  • J. Kur-Zalewska
    • 9
  • M. Wisłowska
    • 10
  • M. Madej
    • 11
  • A. Hawrot-Kawecka
    • 12
  • P. Głuszko
    • 13
  • E. Kucharz
    • 14
  • Jacek Musiał
    • 1
    Email author
  1. 1.2nd Department of Internal Medicine, Faculty of MedicineJagiellonian University Medical CollegeKrakówPoland
  2. 2.Department of RheumatologyRaigmore HospitalInvernessUK
  3. 3.Institute of Applied Health SciencesUniversity of AberdeenAberdeenUK
  4. 4.Department of Internal Medicine, Connective Tissue Diseases and GeriatricsMedical University of GdańskGdańskPoland
  5. 5.Department of Rheumatology and Connective Tissue DiseasesMedical University of LublinLublinPoland
  6. 6.Department of Nephrology and Transplantation MedicineWroclaw Medical UniversityWrocławPoland
  7. 7.Department of Rheumatology and Internal DiseasesPomeranian Medical University in SzczecinSzczecinPoland
  8. 8.Department of Nephrology, Transplantology and Internal DiseasesMedical University of GdańskGdańskPoland
  9. 9.Department of Internal Medicine and RheumatologyMilitary Medicine InstituteWarszawaPoland
  10. 10.Department of Internal Diseases and RheumatologyCentral Clinical Hospital of the Ministry of the Interior and AdministrationWarszawaPoland
  11. 11.Department of Rheumatology and Internal MedicineWroclaw Medical UniversityWrocławPoland
  12. 12.Department of Internal Medicine and Metabolic DiseasesMedical University of SilesiaKatowicePoland
  13. 13.Department of RheumatologyNational Institute of Geriatrics, Rheumatology and RehabilitationWarszawaPoland
  14. 14.Department of Internal Medicine and RheumatologyMedical University of SilesiaKatowicePoland

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