Gender differences in health of EU10 and EU15 populations: the double burden of EU10 men

This study compares gender differences in Healthy Life Years (HLY) and unhealthy life years (ULY) between the original (EU15) and new member states (EU10). Based on the number of deaths, population and prevalence of activity limitations from the Statistics of Living and Income Conditions Survey (SILC) survey, we calculated HLY and ULY for the EU10 and EU15 in 2006 with the Sullivan method. We used decomposition analysis to assess the contributions of mortality and disability and age to gender differences in HLY and ULY. HLY at age 15 for women in the EU10 were 3.1 years more than those for men at the same age, whereas HLY did not differ by gender in the EU15. In both populations ULY at age 15 for women exceeded those for men by 5.5 years. Decomposition showed that EU10 women had more HLY because higher disability in women only partially offset (−0.8 years) the effect of lower mortality (+3.9 years). In the EU15 women’s higher disability prevalence almost completely offset women’s lower mortality. The 5.3 fewer ULY in EU10 men than in EU10 women mainly reflected higher male mortality (4.5 years), while the fewer ULY in EU15 men than in EU15 women reflected both higher male mortality (2.9 years) and higher female disability (2.6 years). The absence of a clear gender gap in HLY in the EU15 thus masked important gender differences in mortality and disability. The similar size of the gender gap in ULY in the EU-10 and EU-15 masked the more unfavourable health situation of EU10 men, in particular the much stronger and younger mortality disadvantage in combination with the virtually absent disability advantage below age 65 in men

Neuropsychiatric Events in Systemic Lupus Erythematosus: Predictors of Occurrence and Resolution in a Longitudinal Analysis of an International Inception Cohort

Objective: To determine predictors of change in neuropsychiatric (NP) event status in a large, prospective, international inception cohort of patients with systemic lupus erythematosus (SLE). // Methods: Upon enrollment and annually thereafter, NP events attributed to SLE and non-SLE causes and physician-determined resolution were documented. Factors potentially associated with the onset and resolution of NP events were determined by time-to-event analysis using a multistate modeling structure. // Results: NP events occurred in 955 (52.3%) of 1,827 patients, and 593 (31.0%) of 1,910 unique events were attributed to SLE. For SLE-associated NP (SLE NP) events, multivariate analysis revealed a positive association with male sex (P = 0.028), concurrent non-SLE NP events excluding headache (P < 0.001), active SLE (P = 0.012), and glucocorticoid use (P = 0.008). There was a negative association with Asian race (P = 0.002), postsecondary education (P = 0.001), and treatment with immunosuppressive drugs (P = 0.019) or antimalarial drugs (P = 0.056). For non-SLE NP events excluding headache, there was a positive association with concurrent SLE NP events (P < 0.001) and a negative association with African race (P = 0.012) and Asian race (P < 0.001). NP events attributed to SLE had a higher resolution rate than non-SLE NP events, with the exception of headache, which had comparable resolution rates. For SLE NP events, multivariate analysis revealed that resolution was more common in patients of Asian race (P = 0.006) and for central/focal NP events (P < 0.001). For non-SLE NP events, resolution was more common in patients of African race (P = 0.017) and less common in patients who were older at SLE diagnosis (P < 0.001). // Conclusion: In a large and long-term study of the occurrence and resolution of NP events in SLE, we identified subgroups with better and worse prognosis. The course of NP events differs greatly depending on their nature and attribution

Lower vitamin D is associated with metabolic syndrome and insulin resistance in systemic lupus: data from an international inception cohort

OBJECTIVES: Vitamin D (25(OH)D) deficiency and metabolic syndrome (MetS) may both contribute to increased cardiovascular risk in systemic lupus erythematosus (SLE). We aimed to examine the association of demographic factors, SLE phenotype, therapy and vitamin D levels with MetS and insulin resistance. METHODS: The Systemic Lupus International Collaborating Clinics (SLICC) enrolled patients recently diagnosed with SLE (<15 months) from 33 centres across 11 countries from 2000. Clinical, laboratory and therapeutic data were collected. Vitamin D level was defined according to tertiles based on distribution across this cohort, which were set at T1 (10-36 nmol/l), T2 (37-60 nmol/l) and T3 (61-174 nmol/l). MetS was defined according to the 2009 consensus statement from the International Diabetes Federation. Insulin resistance was determined using the HOMA-IR model. Linear and logistic regressions were used to assess the association of variables with vitamin D levels. RESULTS: Of the 1847 patients, 1163 (63%) had vitamin D measured and 398 (34.2%) subjects were in the lowest 25(OH)D tertile. MetS was present in 286 of 860 (33%) patients whose status could be determined. Patients with lower 25(OH)D were more likely to have MetS and higher HOMA-IR. The MetS components, hypertension, hypertriglyceridemia and decreased HDL were all significantly associated with lower 25(OH)D. Increased average glucocorticoid exposure was associated with higher insulin resistance. CONCLUSIONS: MetS and insulin resistance are associated with lower vitamin D in patients with SLE. Further studies could determine whether vitamin D repletion confers better control of these cardiovascular risk factors and improve long-term outcomes in SLE

Psychosis in Systemic Lupus Erythematosus: Results From an International Inception Cohort Study

Objectives: To determine, in a multi-ethnic/racial, prospective SLE inception cohort, the frequency, attribution, clinical and autoantibody associations with lupus psychosis and the short and long-term outcome as assessed by physicians and patients. Methods: Patients were evaluated annually for 19 neuropsychiatric (NP) events including psychosis. SLE disease activity 2000, SLICC/ACR damage index and SF-36 scores were collected. Time to event and linear regressions were used as appropriate. Results: Of 1,826 SLE patients, 88.8% were female, 48.8% Caucasian. The meanSD age was 35.1±13.3 years, disease duration 5.64.2 months and follow-up 7.44.5 years. There were 31 psychotic events in 28/1,826 (1.53%) patients and most [(26/28; 93%)] had a single event. In the majority of patients [20/25; (80%)] and events [28/31; (90%)] psychosis was attributed to SLE, usually within 3 years of SLE diagnosis. Positive associations [hazard ratio and 95% confidence interval [HR (95%CI)] with lupus psychosis were prior SLE NP events [3.59, (1.16, 11.14), male sex [3.0, (1.20, 7.50)], younger age at SLE diagnosis [(per 10 years younger), 1.45 (1.01, 2.07)] and African ancestry [4.59 (1.79, 11.76)]. By physician assessment most psychotic events resolved by the second annual visit following onset, in parallel with an improvement in patient reported SF-36 summary and subscale scores. Conclusion: Psychosis is an infrequent manifestation of NPSLE. Generally, it occurs early after SLE onset and has a significant negative impact on health status. As determined by patient and physician report, the short and long term outlook is good for most patients, though careful follow-up is required

Antinuclear Antibody–Negative Systemic Lupus Erythematosus in an International Inception Cohort

Objectives: The spectrum of antinuclear antibodies (ANA) is changing to include both nuclear staining as well as cytoplasmic and mitotic cell patterns (CMPs) and accordingly a change in terminology to anti‐cellular antibodies. This study examined the prevalence of indirect immunofluorescence (IIF) anti‐cellular antibody staining using the Systemic Lupus International Collaborating Clinics inception cohort. / Methods: Anti‐cellular antibodies were detected by IIF on HEp‐2000 substrate utilizing the baseline serum. Three serological subsets were examined: 1) ANA‐positive (presence of either nuclear or mixed nuclear/CMP staining), 2) anti‐cellular antibody‐negative (absence of any intracellular staining), and 3) isolated CMP staining. The odds of being anti‐cellular antibody‐negative versus ANA or isolated CMP‐positive was assessed by multivariable analysis. / Results: 1137 patients were included; 1049/1137 (92.3%) were ANA‐positive, 71/1137 (6.2%) were anti‐cellular antibody‐negative, and 17/1137 (1.5%) had isolated CMP. The isolated CMP group did not differ from the ANA‐positive or anti‐cellular antibody‐negative group in clinical, demographic or serologic features. Patients who were older (OR 1.02 [95% CI: 1.00, 1.04]), of Caucasian race/ethnicity (OR 3.53 [95% CI: 1.77, 7.03]), or on high dose glucocorticoids at or prior to enrolment (OR 2.39 [95% CI: 1.39, 4.12]) were more likely to be anti‐cellular antibody‐negative. Patients on immunosuppressants (OR 0.35 [95% CI: 0.19, 0.64]) or with anti‐SSA/Ro60 (OR 0.41 [95% CI: 0.23, 0.74]) or anti‐UI‐RNP (OR 0.43 [95% CI: 0.20, 0.93]) were less likely to be anti‐cellular antibody‐negative. / Conclusions: In newly diagnosed SLE, 6.2% of patients were anti‐cellular antibody‐negative and 1.5% had isolated CMP. The prevalence of anti‐cellular antibody‐negative SLE will likely decrease as emerging nomenclature guidelines recommend that non‐nuclear patterns should also be reported as a positive ANA

Accrual of Atherosclerotic Vascular Events in a Multicenter Inception Systemic Lupus Erythematosus Cohort

Objective: In previous studies, atherosclerotic vascular events (AVEs) were shown to occur in ~10% of patients with systemic lupus erythematosus (SLE). We undertook this study to investigate the annual occurrence and potential risk factors for AVEs in a multinational, multiethnic inception cohort of patients with SLE. / Methods: A large 33‐center cohort of SLE patients was followed up yearly between 1999 and 2017. AVEs were attributed to atherosclerosis based on SLE being inactive at the time of the AVE as well as typical atherosclerotic changes observed on imaging or pathology reports and/or evidence of atherosclerosis elsewhere. Analyses included descriptive statistics, rate of AVEs per 1,000 patient‐years, and univariable and multivariable relative risk regression models. / Results: Of the 1,848 patients enrolled in the cohort, 1,710 had ≥1 follow‐up visit after enrollment, for a total of 13,666 patient‐years. Of these 1,710 patients, 3.6% had ≥1 AVEs attributed to atherosclerosis, for an event rate of 4.6 per 1,000 patient‐years. In multivariable analyses, lower AVE rates were associated with antimalarial treatment (hazard ratio [HR] 0.54 [95% confidence interval (95% CI) 0.32–0.91]), while higher AVE rates were associated with any prior vascular event (HR 4.00 [95% CI 1.55–10.30]) and a body mass index of >40 kg/m2 (HR 2.74 [95% CI 1.04–7.18]). A prior AVE increased the risk of subsequent AVEs (HR 5.42 [95% CI 3.17–9.27], P < 0.001). / Conclusion: The prevalence of AVEs and the rate of AVE accrual demonstrated in the present study is much lower than that seen in previously published data. This may be related to better control of both the disease activity and classic risk factors

Prediction of damage accrual in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI)

OBJECTIVE: The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) has been shown to predict mortality, but its association with other important outcomes is unknown. We examined the association of baseline SLICC-FI values with damage accrual in the SLICC inception cohort. METHODS: The baseline visit was defined as the first at which both organ damage (SLICC/ACR Damage Index [SDI]) and health-related quality of life (Short-Form 36 [SF-36]) were assessed. Baseline SLICC-FI scores were calculated. Damage accrual was measured by the increase in SDI between the baseline assessment and the last study visit. Multivariable negative binomial regression estimated the association between baseline SLICC-FI values and the rate of increase in the SDI during follow-up, adjusting for relevant demographic and clinical characteristics. RESULTS: The 1549 SLE patients eligible for this analysis were mostly female (88.7%) with mean (standard deviation, SD) age 35.7 (13.3) years and median (interquartile range) disease duration 1.2 (0.9-1.5) years at baseline. Mean (SD) baseline SLICC-FI was 0.17 (0.08) with a range of 0-0.51. Over a mean (SD) follow-up of 7.2 (3.7) years, 653 patients (42.2%) had an increase in SDI. Higher baseline SLICC-FI values (per 0.05 increment) were associated with higher rates of increase in the SDI during follow-up (Incidence Rate Ratio [IRR] 1.19; 95% CI 1.13-1.25), after adjusting for age, sex, ethnicity/region, education, baseline SLEDAI-2K, baseline SDI, and baseline use of corticosteroids, antimalarials, and immunosuppressives. CONCLUSION: The SLICC-FI predicts damage accrual in incident SLE, which further supports the SLICC-FI as a valid health measure in SLE

Economic evaluation of damage accrual in an international SLE inception cohort using a multi-state model approach

OBJECTIVES: There is a paucity of data regarding healthcare costs associated with damage accrual in systemic lupus erythematosus (SLE). We describe costs associated with damage states across the disease course using multi-state modeling. METHODS: Patients from 33 centres in 11 countries were enrolled in the Systemic Lupus International Collaborating Clinics (SLICC) inception cohort within 15 months of diagnosis. Annual data on demographics, disease activity, damage (SLICC/American College of Rheumatology (ACR) Damage Index [SDI]), hospitalizations, medications, dialysis, and selected procedures were collected. Ten-year cumulative costs (Canadian dollars) were estimated by multiplying annual costs associated with each SDI state by the expected state duration using a multi-state model. RESULTS: 1687 patients participated, 88.7% female, 49.0% of Caucasian race/ethnicity, mean age at diagnosis 34.6 years (SD 13.3), and mean follow up 8.9 years (range 0.6-18.5). Annual costs were higher in those with higher SDIs (SDI ≥ 5: $22 006 2019 CDN, 95$16 662, $27 350 versus SDI=0:$1833, 95% CI $1134,$2532). Similarly, 10-year cumulative costs were higher in those with higher SDIs at the beginning of the 10-year interval (SDI ≥ 5: $189 073, 95$142 318, $235 827 versus SDI=0:$21 713, 95% CI $13 639,$29 788). CONCLUSION: Patients with the highest SDIs incur 10-year cumulative costs that are almost 9-fold higher than those with the lowest SDIs. By estimating the damage trajectory and incorporating annual costs, damage can be used to estimate future costs, critical knowledge for evaluating the cost-effectiveness of novel therapies