Objective
To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.
Methods
Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology and pediatric clinics worldwide. Several statistical methods were utilized to derive the classification criteria.
Results
Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children) new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Sub-classification is performed using a classification tree. A probability cutoff of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) “probable IIM”, had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to “definite IIM”. A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy) rules out IIM, leaving a probability of ≥50 to <55% as “possible IIM”.
Conclusions
The EULAR/ACR classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and pediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of “definite”, “probable”, and “possible” IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
Objective
To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.
Methods
Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology and pediatric clinics worldwide. Several statistical methods were utilized to derive the classification criteria.
Results
Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children) new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Sub-classification is performed using a classification tree. A probability cutoff of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) “probable IIM”, had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to “definite IIM”. A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy) rules out IIM, leaving a probability of ≥50 to <55% as “possible IIM”.
Conclusions
The EULAR/ACR classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and pediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of “definite”, “probable”, and “possible” IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
Current therapeutic and diagnostic resources have turned systemic lupus erythematosus (SLE) into a chronic disease by reducing mortality rates. The exact contribution of disease activity and disease related damage to mortality is not well studied. The aim of this study was to describe the current causes of death (COD) in a multinational European cohort of patients with SLE in relation to quantified measures of disease activity and damage. Prospective five-year observational study of case fatalities in SLE patients at 12 European centres was performed. Demographics, disease manifestations, interventions and quantified disease activity (by ECLAM and SLEDAI) and damage (by SLICC-DI) at the time of death were related to the various COD. Ninety-one case fatalities (89% females) occurred after median disease duration of 10.2 years (range 0.2-40) corresponding to a annual case fatality of one for each of the participating cohorts. Cumulative mortality correlated linearly with disease duration with nearly 10% of fatalities occurring in the first year and 40% after more than 10 years of disease. Death occurred during SLE remission in one third of cases. In the remaining cases a mixture of disease activity (median ECLAM 5.5, median SLEDAI 15) and accrued damage (median SLICC-DI 5.0) with opposing relationships to disease duration contributed to death. Infections and cardiovascular events were the most frequent COD in both early and late fatalities with no gender differences for type of COD, disease activity, damage or comorbidity. In Europe, case fatalities have become uncommon events in dedicated SLE cohorts. The bimodal mortality curve has flattened out and deaths now occur evenly throughout the disease course with infectious and cardiovascular complications as the main direct COD in both early and late fatalities. Accrued damage supplants disease activity over time as the main SLE specific contributor to death over time.
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