| Literature DB >> 30413153 |
Dimitri Titeca-Beauport1, Alexis Francois2, Thierry Lobbedez3,4, Dominique Guerrot5,6, David Launay7,8,9,10,11, Laurence Vrigneaud12, Maité Daroux13, Celine Lebas14, Boris Bienvenu15,16, Eric Hachulla7,8,9,10,11, Momar Diouf17, Gabriel Choukroun2.
Abstract
BACKGROUND: The risk of early death is particularly high in patients over the age of 65 presenting with antineutrophil cytoplasmic antibody (ANCA)-associated renal vasculitis. We hypothesized that by combining disease severity markers, a comorbidity index and serious adverse event reports, we would be able to identify early predictors of one-year mortality in this population.Entities:
Keywords: ANCA; Elderly; Glomerulonephritis; Infection; Mortality
Mesh:
Year: 2018 PMID: 30413153 PMCID: PMC6234782 DOI: 10.1186/s12882-018-1102-3
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Baseline demographic and clinical data
| Age (years) | 72.7 [68.5–76.8] |
| Female | 72 (48) |
| Comorbidities | |
| Hypertension | 99 (66) |
| Diabetes mellitus | 18 (12) |
| Cardiovascular diseases | 21 (14) |
| Malignancy | 16 (11) |
| Charlson Comorbidity Index | 4 [3–5] |
| Performance Status | |
| 0–2 | 129 (87) |
| 3–4 | 20 (13) |
| AAV type | |
| MPO/PR3 | 101/46 |
| GPA | 60 (40) |
| MPA | 80 (54) |
| RVL | 9 (6) |
| Renal involvement | |
| Peak SCr (μmol/l) | 337 [221–522] |
| uPCR (g/day) | 1.8 [0.9–2.6] |
| Dialysis | 45 (30) |
| Renal biopsy | 131 (88) |
| Focal | 31 |
| Crescentic | 38 |
| Mixed | 36 |
| Sclerotic | 26 |
| Inflammatory parameters | |
| C-reactive protein (mg/l) | 88 [19–151] |
| Serum albumin (g/l) | 28 [22–32] |
| Leukocyte count (× 109/l) | 9.2 [7.1–12.9] |
| Haemoglobin (g/dl) | 9.4 [8.3–10.5] |
| Organ involvement | |
| Cutaneous | 12 (8) |
| Ocular | 8 (5.3) |
| Ear, nose, throat | 27 (18) |
| Pulmonary | 67 (45) |
| Cardiac | 8 (5.3) |
| Gastrointestinal | 11 (7.3) |
| Musculoskeletal | 41 (27.5) |
| Nervous system | 27 (18) |
| BVAS | 18 [14–22] |
| Five-Factor Score ≥ 3 | 120 (81) |
Data are quoted as n (%) median and interquartile range. AAV anti-neutrophil cytoplasmic antibody, ANCA associated vasculitis, MPO myeloperoxidase, PR3 proteinase 3, MPA microscopic polyangiitis, GPA granulomatosis with polyangiitis, RVL renal-limited vasculitis, SCR serum creatinine, uPCR urinary protein to creatinine ratio, BVAS Birmingham Vasculitis Activity Score
Univariate analysis for one-year mortality
| Variable | RR [95%CI] | |
|---|---|---|
| Age | 1.34 [1.01–1.68]a | 0.03 |
| Female | 1.10 [0.94–1.28] | 0.20 |
| Diabetes mellitus | 1.90 [0.90–4.02] | 0.10 |
| CCI | 1.32 [1.02–1.71] | 0.04 |
| PS 3–4 vs. 0–2 | 2.90 [1.55–5.45] | < 0.001 |
| PR3 vs. MPO | 0.75 [0.31–1.78] | 0.50 |
| Peak SCr | 1.13 [1.02–1.24]b | 0.01 |
| Dialysis | 2.40 [1.26–4.55] | 0.007 |
| Serum albumin | 0.94 [0.89–0.99] | 0.02 |
| Haemoglobin | 0.67 [0.52–0.86] | 0.002 |
| Leukocyte | 0.98 [0.89–1.07] | 0.62 |
| CRP | 0.99 [0.95–1.04] | 0.79 |
| BVAS | 1.04 [1.00–1.09] | 0.05 |
| FFS | 3.48 [2.10–5.79] | < 0.001 |
| CYC | 0.50 [0.22–1.12] | 0.09 |
| MP pulses | 0.83 [0.32–2.16] | 0.70 |
| PLEX | 1.66 [0.75–3.66] | 0.21 |
| Co-trimoxazole | 0.40 [0.20–0.84] | 0.02 |
| Infection at M1 | 3.47 [1.84–6.54] | < 0.001 |
| Leukopenia at M1 | 2.05 [0.76–5.56] | 0.15 |
RR relative risk, CI confidence interval, CCI Charlson Comorbidity Index, PS Performance Status, PR3 proteinase 3, MPO myeloperoxidase, SCr serum creatinine, CRP C-reactive protein, FFS Five-Factor Score, CYC cyclophosphamide, MP methylprednisolone, PLEX plasma exchange
aper 5 years
bper 100 μmol/l
Multivariable analysis for one-year mortality
| Third variable added to the model | AIC | AUC | RR [95%CI] | |
|---|---|---|---|---|
| Infection at M1 | 122.1 | 0.799 | FFS 2.57 [1.30; 5.09] | 0.006 |
| Infection 2.74 [1.27; 5.92] | 0.01 | |||
| Age 1.05 [0.99; 1.12] | 0.09 | |||
| PS 3–4 vs. 0–2 | 129.0 | 0.781 | FFS 3.09 [1.51; 6.27] | 0.002 |
| PS 1.92 [0.84; 4.35] | 0.12 | |||
| Age 1.05 [0.99; 1.12] | 0.13 | |||
| Haemoglobin | 126.7 | 0.761 | FFS 3.06 [1.46; 6.40] | 0.003 |
| Hg 0.82 [0.63; 1.06] | 0.13 | |||
| Age 1.05 [0.99; 1.12] | 0.09 | |||
| Serum creatinine | 130.1 | 0.759 | FFS 2.98 [1.45; 6.13] | 0.003 |
| SCr 1.09 [0.97; 1.22] | 0.15 | |||
| Age 1.05 [0.99; 1.12] | 0.07 | |||
| Dialysis | 130.2 | 0.758 | FFS 2.96 [1.44; 6.08] | 0.003 |
| Dialysis 1.66 [0.76; 3.60] | 0.20 | |||
| Age 1.05 [0.99; 1.12] | 0.10 | |||
| Co-trimoxazole | 127.5 | 0.752 | FFS 2.98 [1.40; 6.34] | 0.004 |
| CTZ 0.53 [0.23; 1.20] | 0.13 | |||
| Age 1.04 [0.98; 1.11] | 0.20 | |||
| CCI | 132.4 | 0.749 | FFS 3.43 [1.71; 6.89] | 0.0005 |
| CCI 1.12 [0.80; 1.57] | 0.51 | |||
| Age 1.04 [0.97; 1.11] | 0.22 |
Given the limited number of events for the primary endpoint (29 deaths) and Peduzzi et al.’s recommendations [26], we built several multivariable models with three variables (including age and the Five-Factor Score (FFS)) known to be prognostic factors. Next, each of the other candidate variables with a univariate p < 0.05 was added as the third variable. Even though age is included in the FFS score, we selected it because all patients were aged 65 or over. The best multivariable model was considered to be that with the lowest Akaike information criterion (AIC) and highest area under the curve (AUC)
RR relative risk, CI confidence interval, PS performance status, Hg haemoglobin, CTZ Co-trimoxazole, CCI Charlson comorbidity index
Fig. 1Kaplan-Meier curves for five-year survival, as a function of the independent predictors of a poor one-year outcome: a infections during the first month of care, and b the Five-Factor Score
Fig. 2Outcomes during the first two years. The M24 analysis is based on data from 137 patients with at least 2 years of follow-up at the end of the study