| Literature DB >> 31349802 |
Makoto Yamaguchi1, Takayuki Katsuno1, Shiho Iwagaitsu1, Hironobu Nobata1, Hiroshi Kinashi1, Shogo Banno1, Yasuhiko Ito2.
Abstract
BACKGROUND: Several studies have identified predictors of severe infections in antineutrophil cytoplasmic antibody-associated vasculitis (AAV). However, the development of oral candidiasis (OC) as a predictor of subsequent severe infections has not been evaluated. The aim of this study was to assess the association between OC and subsequent severe infection requiring hospitalization during immunosuppressive therapy in AAV.Entities:
Keywords: AAV; ANCA; Antineutrophil cytoplasmic antibody; Infection; Oral candidiasis; Small-vessel vasculitis
Mesh:
Substances:
Year: 2019 PMID: 31349802 PMCID: PMC6660661 DOI: 10.1186/s12879-019-4300-0
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Clinical characteristics of 71 patients with AAV
| Non-OC | OC | ||
|---|---|---|---|
| Baseline characteristics | |||
| Age (year) | 73 (65–78) | 71 (67–76) | 0.576 |
| Male (N (%)) | 30 (55.6) | 9 (52.9) | 0.850 |
| Serum albumin (mg/dL) | 3.0 (2.3–3.7) | 2.8 (2.2–3.2) | 0.138 |
| Serum creatinine (mg/dL) | 0.9 (0.7–1.7) | 1.2 (0.5–2.1) | 0.925 |
| CRP (mg/dL) | 3.3 (0.9–9.0) | 4.8 (2.7–9.4) | 0.196 |
| IgG (mg/dL) | 1682 (1403–2046) | 1674 (1170–1992) | 0.454 |
| Diagnosis | |||
| MPA | 45 (83.3) | 13 (76.5) | 0.196 |
| GPA | 0 (0.0) | 1 (5.9) | |
| EGPA | 9 (16.7) | 3 (17.6) | |
| Antibody | |||
| MPO-ANCA | 50 (92.6) | 17 (100) | 0.513 |
| PR3-ANCA | 1 (1.9) | 0 (0) | |
| ANCA-negative | 3 (5.6) | 0 (0) | |
| BVAS | 13 (11–16) | 15 (13–16) | 0.183 |
| General | 52 (96.3) | 17 (100) | 0.421 |
| Cutaneous | 6 (11.1) | 5 (29.4) | 0.069 |
| Ear, nose, and throat | 11 (20.4) | 6 (35.3) | 0.209 |
| Chest | 26 (48.2) | 6 (35.3) | 0.353 |
| Cardiovascular | 1 (1.9) | 1 (5.9) | 0.381 |
| Abdominal | 3 (5.6) | 0 (0) | 0.321 |
| Renal | 28 (51.9) | 10 (58.8) | 0.615 |
| Nervous system | 17 (31.5) | 8 (47.1) | 0.241 |
| Induction immunosupressive therapy | |||
| Glucocorticoid monotherapy | 45 (83.3) | 14 (82.4) | 0.939 |
| Intravenous cyclophosphamide | 5 (9.3) | 2 (11.8) | |
| Rituximab | 4 (7.4) | 1 (5.9) | |
| Use of mPSL pulse therapy | 18 (33.3) | 8 (47.6) | 0.306 |
| Maintenance immunosuppressive therapy | |||
| Glucocorticoid monotherapy | 34 (63.0) | 9 (52.9) | 0.863 |
| Oral cyclophosphamide | 2 (3.7) | 1 (5.9) | |
| Azathioprine | 13 (24.1) | 5 (29.4) | |
| Methotrexate | 1 (1.9) | 1 (5.9) | |
| Rituximab | 4 (7.4) | 1 (5.9) | |
| Outcomes | |||
| Remission | 52 (96.3) | 15 (88.2) | 0.209 |
| Relapse | 19 (38.0) | 10 (62.5) | 0.086 |
| Hemodialysis | 2 (3.7) | 2 (11.8) | 0.209 |
| Deaths | 4 (7.4) | 1 (5.9) | 0.830 |
| Severe Infection | 8 (14.8) | 11 (64.7) | < 0.001 |
| Observation period (months) | 26 (12–51) | 15 (5–47) | 0.396 |
Median (interquartile range), categorical values are expressed as number (proportion)
For continuous variables, the Wilcoxon rank-sum test was performed to assess the significance of inter-group differences
Categorical variables were expressed as percentages and compared by using Fisher’s exact test
ANCA anti-neutrophil cytoplasmic antibody, AAV ANCA-associated vasculitis, MPA microscopic polyangiitis GPA granulomatosis with polyangiitis, EGPA eosinophilic granulomatosis with polyangiitis, BVAS Birmingham Vasculitis Activity Score, MPO myeloperoxidase, PR3 proteinase-3, OC oral candidiasis, mPSL methylprednisolone
Fig. 1The proportion of patients who developed severe infection was significantly higher [11 (64.7%) vs 8 (14.8%)] in the OC group than in the non-OC group (P < 0.001). The cumulative probabilities of severe infection within 6, 12, and 24 months were 0.18, 0.33, and 0.49 for the OC group and 0.02, 0.08, and 0.05 for the non-OC group, respectively, that is, significant differences in the occurrence of severe infection were found in the OC and non-OC groups (P < 0.001; Fig. 1)
Predictors of severe infection
| Univariate model | Multivariate model | |||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Age (per 10 years) | 1.03 (0.99–1.09) | 0.134 | 1.05 (0.99–1.12) | 0.071 |
| Male (vs. female) | 1.02 (0.41–2.53) | 0.959 | 1.61 (0.55–4.76) | 0.387 |
| Serum albumin (per 1.0 g/dL) | 0.41 (0.21–0.78) | 0.007 | 0.45 (0.19–0.99) | 0.045 |
| Serum creatinine (per 1.0 mg/dL) | 1.31 (1.02–1.63) | 0.038 | 1.16 (0.85–1.59) | 0.371 |
| Methylprednisolone pulse therapy | 2.71 (1.08–6.78) | 0.033 | 3.59 (1.07–12.0) | 0.038 |
| Oral candidiasis | 5.34 (2.13–13.4) | < 0.001 | 4.55 (1.73–12.0) | 0.002 |
HR hazard ratio, CI confidence interval
Data are the HR, 95% CI, and P value from Cox proportional hazard regression analyses
Adjusted for baseline characteristics including age, sex, serum albumin level, serum creatinine level, methylprednisolone pulse therapy, and oral candidiasis
Immunosuppressive treatment during the observation period
| Non-OC | OC | ||
|---|---|---|---|
| Baseline | ( | ( | |
| Prednisolone (mg/kg/day) | 0.91 (0.69–1.15) | 1.01 (0.86–1.23) | 0.109 |
| 3rd month | ( | ( | |
| Prednisolone (mg/kg/day) | 0.34 (0.27–0.40) | 0.31 (0.24–0.40) | 0.537 |
| Cumulative dose of prednisolone (g) | 1.6 (1.4–1.8) | 1.8 (1.6–1.9) | 0.312 |
| Use of immunosuppressants [n (%)] | 7 (14.3) | 4 (25.0) | 0.309 |
| 6th month | ( | ( | |
| Prednisolone (mg/kg/day) | 0.24 (0.2–0.30) | 0.21 (0.21–0.30) | 0.605 |
| Cumulative dose of prednisolone (g) | 2.6 (2.2–3.0) | 2.5 (2.2–3.0) | 0.936 |
| Use of immunosuppressants [n (%)] | 9 (19.1) | 3 (17.6) | 0.811 |
| 1st year | ( | ( | |
| Prednisolone (mg/kg/day) | 0.18 (0.13–0.20) | 0.19 (0.16–0.28) | 0.189 |
| Cumulative dose of prednisolone (g) | 3.5 (2.9–4.0) | 3.2 (2.6–3.8) | 0.442 |
| Use of immunosuppressants [n (%)] | 10 (25.6) | 4 (40.0) | 0.517 |
| 2nd year | ( | ( | |
| Prednisolone (mg/kg/day) | 0.15 (0.12–0.18) | 0.17 (0.13–0.25) | 0.320 |
| Cumulative dose of prednisolone (g) | 4.8 (3.7–5.9) | 3.9 (2.7–6.2) | 0.473 |
| Use of immunosuppressants [n (%)] | 9 (32.1) | 4 (66.7) | 0.474 |
Median (interquartile range), categorical values are expressed as number (proportion)
For continuous variables, the Wilcoxon rank-sum test was performed to assess the significance of inter-group differences
Categorical variables were expressed as percentages and compared by using Fisher’s exact test