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Trends in incidence, mortality, and causes of death associated with systemic sclerosis in Denmark between 1995 and 2015: a nationwide cohort study

BMC Rheumatology volume 2, Article number: 36 (2018) Cite this article

Abstract

Background

To investigate the incidence and the mortality-rates of systemic sclerosis (SSc), its primary causes of death, and the temporal trends in events in Denmark during the last decades.

Methods

Using the Danish National Patient Registry, we identified all persons aged ≥18 years with a first-time diagnosis of SSc (ICD-10 code M34, excluding M34.2) between 1995 and 2015.

Results

A total of 2778 incident SSc cases were identified. The mean age at time of SSc diagnosis was 56 (standard deviation 15) years and 76% were women. The overall incidence rate (per 1,000,000 person-years) of diagnosed SSc was 24.4 (95% confidence interval 23.6–25.4), with a slight increase over the study period, age- and sex-adjusted incidence rate ratio 1.02 (95% confidence interval 1.01–1.02) per 1-year increase. The 1-year all-cause mortality rate per 100 person-years decreased from 6.1 (3.1–12.2) in 1995 to 5.3 (2.5–11.1) in 2015, sex- and age-adjusted hazard ratio 0.96 (95% CI 0.94–0.98) per 1-year increase. Over the period, the average age at SSc diagnosis increased and the proportion of women decreased, whereas the burden of comorbidities increased. One fifth of all deaths were attributable to cardiovascular causes, a fourth to pulmonary diseases, and 15% were due to cancer.

Conclusions

Within the last few decades, the incidence of SSc has increased and the 1-year mortality rate has decreased slightly in Denmark. Almost half of all deaths were attributable to cardiopulmonary causes.

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Background

Systemic sclerosis (SSc) is a heterogenic systemic autoimmune connective tissue disease characterized by humoral and cellular immune dysregulation resulting in vasculopathy and progressive fibrosis of the skin and visceral organs. SSc is also associated with substantially increased morbidity and mortality compared with the general population [1, 2].

Epidemiologically, SSc has been difficult to characterize due to its rarity, heterogeneity, imprecise date of onset and difficulty in case ascertainment. Consequently, large variability in estimates of incidence and mortality rates have been reported in prior studies [3]. Due to its rarity and imprecise date of onset, large datasets with continuous registration of diagnoses, such as nationwide administrative data, are needed to get more precise estimates of the incidence and mortality, and to investigate changes in these measures over time.

The question about trends over time is particularly interesting in the setting of SSc, as an increasing incidence of several autoimmune disorders has been noted over the last few decades [4] and there is some evidence that also the incidence of SSc may also been increasing [5, 6]. Similar, the survival over the past decades may have improved, but sparse data are available, especially on causes of death [1, 3, 7,8,9]. The SSc population in Denmark has been scarcely depicted [10]. In this study, we therefore aimed to estimate the incidence and the mortality rates of SSc in Denmark. We also investigated underlying causes of deaths and if these measures have changed during 1995 to 2015.

Methods

Data sources

All Danish citizens are given a permanent civil registration number at the time of birth or immigration. This number is used in every contact with the hospital system and at the central population registry, where all births and deaths (including dates) are registered. For the present study, we cross-linked the central population registry with the nationwide Danish National Patient Register (DNPR), which contains information on all in and out hospital visits. In brief, the DNPR is held by the Danish government in order to keep statistics of resources and needs of medical care. All medical care is tax funded and equally available to Danish citizens. For each visit to the hospital, patients are assigned one main diagnosis and any secondary diagnoses of relevance to the current hospital contact upon discharge. Financial reimbursement to the hospital departments is pending on the diagnostic codes, which makes a great incitement for correct coding. The diagnostic codes have been based on the international classification of diseases (ICD) 10th version system since 1994. Between 1978 (when the hospitalization registry was established) and 1993 the codes were based on the ICD 8th version. The ICD-9 coding system was never implemented in Denmark. The diagnostic codes utilized in this study are presented in Additional file 1. Causes of death are available from the National Causes of Death Registry. All causes of deaths (primary and any contributing causes) are registered with ICD-10 codes and assessed by the treating physicians or based on autopsy reports, if available.

Study population

The definition of SSc in this study was based on a first-time registration of SSc using ICD-10 codes M34 except for M34.2 in the DNPR following outpatient or inpatient visits between 1995 and 2015. To ensure inclusion of only incident cases, we excluded patients with a prior diagnosis of SSc, defined as an ICD-10 code in 1994 or an ICD-8 code of 734 anytime between 1978 and 1993.

Validation

In the DNPR, the accuracy and completeness of discharge data have been shown to be high for most diagnoses [11]. Prior epidemiological studies have used the SSc diagnosis from the DNPR under the assumption that the quality of the hospital registry data is high because patients with SSc are almost exclusively treated in specialized departments of rheumatology and dermatology [12]. Patients with SSc are usually seen at outpatient clinics where a diagnosis is typically made and registered in the DNPR. We further validated the ICD-10 diagnosis of SSc by reviewing charts at hospitals involved in the treatment of SSc patients in the Eastern Denmark. Up to 30 consecutive patients were identified in the period 2005–2010 based on DNPR data from each of three departments (two departments of rheumatology and one department of dermatology) at three different hospitals. The chosen departments were chosen to represent one highly specialized and two ordinary referral centers for connective tissue diseases reflecting the common referral process in Denmark. The study sample and period for validation was chosen based on feasibility and the sample is therefore not a completely random sample of all SSc patients in Denmark (as three departments were chosen). In total, 86 patients (26, 30, and 30 patients from each department, respectively) had available electronic charts and hereof 81 patients fulfilled the 2013 ACR/EULAR criteria for SSc, corresponding to a positive predictive value of 94%.

Statistics

Incidence and mortality rates for SSc (by calendar year) were calculated using all Danish inhabitants who were alive per the 1st of January and who turned 18 years of age during the year. One-year mortality for SSc-cases was defined with first registration of diagnosis and censored at death or at 365 days follow-up. For the background population the 1-year mortality was defined per calendar year. Age was calculated at the 31st of December for each year. 95% confidence intervals (CIs) of the estimates were calculated under the assumption of a Poisson distribution and were used to assess if the annual rates may be fluctuating randomly. A Poisson regression analysis was used to calculate age- and sex adjusted incidence rate ratios per 1-year increase to investigate the trends over time (between 1995 and 2015). Trends in mortality rates per 1-year increase in calendar time (between 1995 and 2015) among SSc patients were also estimated using age- and sex adjusted Cox proportional hazard regression models. Standardized mortality rates (SMR), used as a mean to compare rates with the background population within selected strata, were calculated by dividing the mortality rate of SSc patients with the mortality rate in a corresponding age- and sex stratum of the background population. Test for differences in distribution of patient characteristics (within calendar bins of 1995–2001, 2002–2008, 2009–2015) was done by the ANOVA test (for continuous variables) and by the Cochran-Armitage trend test (for discrete variables), respectively. Similar, tests for differences in distributions of 1-year causes of death between the early (1995–2005) and late (2006–2015) study period was done by the Chi-squared test. Two-sided p-values < 0.05 were considered statistically significant for all analyses. All analyses were performed in SAS version 9.4 (Cary, NC, USA).

Ethics

The study was approved by the Danish Data Protection Agency (ref. 2007-58-0015, int. ref. GEH-2014-018). As a retrospective registry-based study, Danish law does not require ethical approval. The chart review for the validation process was approved by the Danish Patient Safety Authority and the permission was granted based on the assumption that only physicians at a given department reviewed its own patients’ charts.

Results

Population characteristics

Between 1995 and 2015 a total of 2778 patients with a first-time SSc diagnoses were identified. The mean age at the time of diagnosis was around the middle of the 5th decade of life, but increased slightly throughout the study period. The proportion of women was 76% for the entire study period, but decreased slightly throughout the study period, Table 1. Diagnosed renal disease, diabetes, treated hypertension, and prior cancer at the time of the SSc diagnosis was more common in the late study period vs. the earlier periods, whereas the proportion of immigrants or prior cardiovascular diseases did not change significantly during the observational period.

Table 1 Demographics of SSc cases stratified by calendar time
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Incidence

Incidence rates peaked around age 60–79 years in men and at age 50–79 years in women, Fig. 1. Between 1995 and 2015, the incidence rates were slightly increasing, Fig. 2 and Additional file 2. The corresponding age- and sex-adjusted incidence rate ratio per year increase was 1.02 (95% CI 1.01–1.02). Similar trends were observed in analyses of men and women separately, Fig. 3.

Fig. 1
figure 1

Age and sex stratified incidence rates. Incidence rates per million for men (blue) and women (red) with 95% confidence intervals

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Fig. 2
figure 2

Temporal trends in overall incidence and 1-year mortality rates between 1995 and 2015. Incidence rate (black line) and mortality rate (red line) with 95% confidence intervals of estimate

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Fig. 3
figure 3

Temporal trends in sex-stratified incidence rates between 1995 and 2015. Incidence rate per million (blue and red lines) with 95% confidence intervals of estimate

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Mortality

1-year all-cause mortality was 5.8 (95% 5.0–6.8) per 100 persons among SSc patients. Compared with the background population, the sex and age-adjusted hazard ratio for 1-year mortality associated with SSc was 5.5 (95% CI 4.7–6.4). 5-year mortality rates were slightly lower than 1-year mortality rates, 3.7 (95% 3.3–4.1) per 100 person-years, but still substantially higher than the background population, Table 2. Full details of mortality rates by calendar-year for the background population and the SSc patients are available in Table 2. The mortality rates were highest in the older age-groups for both men and for women. When compared to the mortality rate of the background population, the SMR was, however, highest in the younger age-groups and declined with increasing age, Table 3.

Table 2 SSc mortality rates, SMR and hazard ratios
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Table 3 1-year mortality rates in SSc patients stratified by age and sex, compared with the background population
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As illustrated in Fig. 2 (and in Table 2), the all-cause 1-year mortality rate per 100 person-years decreased from 1995 to 2015 with a sex- and age-adjusted annual hazard ratio of 0.96 (95% CI 0.94–0.98) per 1-year increase within the SSc population. Similar trends were noted for both women and men, Fig. 4. Causes of death for all SSc patients dying at any time during the observational period are given in Table 4. For the 1-year mortality endpoint specifically, the primary cause of death was in 22% attributed to cardiovascular disorders, in 17% to pulmonary causes, in 9% to cancer, and in 22% to musculoskeletal causes (the majority being SSc itself without further specification). These distributions did not differ for the early (1995–2005) and late (2005–2015) period (all p > 0.25), except for the musculoskeletal causes which were statistically more common in the early vs. late period (29% vs. 7%, p = 0.0007).

Fig. 4
figure 4

Temporal trends in sex-stratified mortality rates between 1995 and 2015. 1-year mortality rates for men and women

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Table 4 Primary causes of death from 1995 to 2015
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Discussion

Using administrative registries of the whole population, we have herein described the incidence and the mortality of SSc in Denmark over the last couple of decades. In keeping with former epidemiologic studies [3, 13], we found SSc to be more common in women than in men with an overall woman: men ratio of approximately 4:1. The mean age of diagnosis was around the middle of the 5th decade of life, but was slightly increasing between 1995 and 2015. Our main observation includes a small, but steady increase in incidence rates throughout the study period. Moreover, incidence rates increased gradually with advancing age until the age of 60–79 years for men and of 50–79 years for women. These observations are consistent with the literature [5, 14]. Our second principle finding was that mortality rates decreased slightly during the study period. Still, SSc patients remained to have a substantially increased risk of death, when compared to the general population at the end of the study period.

Incidence

Our study extends other studies that have shown an increase in the incidence rate of SSc over recent times. However, large discrepancies have been noted among regions and methodological concerns have been raised. Earlier and smaller studies have reported lower incidence rates in the Northern Europe (Finland, Iceland, Norway, England) [15,16,17,18], as compared to the Southern Europe (Spain, Greece, France, Italy) [5, 19,20,21,22]. This has led to speculations of a north-south European gradient of SSc. A recent study in Sweden [23], however, has shown substantially higher rates, with annual incidence rate estimates as high as 19 per million inhabitants, which does not support the existence of such a gradient. Our study revealed higher incidence rates than other northern European estimates, with an overall incidence rate of 24 per million adults. However, our study represents the only newer nationwide European study, whilst almost all other studies have been based on selected cohorts. Studies in certain geographical clusters in Italy, England and Australia [3, 24] have pointed towards unexpectedly high cumulated incidence rates albeit the actual number of patients has been low. When comparing studies from other continents over time, recent studies have also shown an increasing trend in incidence and prevalence rates e.g. in Australia [25] (22.8 incident cases per million) and the U.S. [14] (19.3 incident cases per million). In contrast, low rates have been estimated in Taiwan (10.9 incident cases per million) [26].

Due to the absence of common diagnostic criteria until the eighties and only recent inclusion of milder and possibly earlier variants of disease, prior estimates of incidence should be interpreted with caution. Some of the considerable differences across time, space and ethnic diversity can be speculated to be due to, in part at least, the methodology applied in the respective studies. After the introduction of the ACR/EULAR 2013 criteria some reports have cited a 30–40% increase in incidence and prevalence rates [23], while others have reported an increase of 26% in the number of patients fulfilling the disease definition in comparison with the 1980 ARA criteria [27, 28]. Our study found a substantially smaller increase over the time period than those prior estimates albeit an increased incidence proportion in the latter timespan from 2008 to 2015 compared to the first from 1995 to 2002. The latter could perhaps also be explained by e.g. increasing use of serological markers or capillaroscopy leading to a diagnosis of early and mild disease. In contrast to what may be expected with more sensitive diagnostic criteria (where possibly earlier and milder diseases may be included) our mean age increased throughout the study period. Similarly, the demographic characteristics yielded a higher diagnosed comorbidity burden within recent years. The etiology behind this may be multifactorial and in part due to an ageing population, more adverse lifestyle manifestations, earlier diagnosis, lower threshold for treatment, better access to screening programs and specialized care. The increasing comorbidity however is also an argument against that less sick people are included with the new diagnostic criteria. This could suggest that the observed increase in incidence may, at least in part, represent a true increase rather than the substantial increases resulting merely from methodological differences. Yet, the varying diagnostic criteria used over time and the rarity of the disease prohibit any conclusions on this matter (as discussed in detail below under the limitations section).

Mortality

The increased morbidity and mortality observed in SSc is well-known, and several meta-analyses have reported a high overall SMR for SSc ≥ 3 [1, 2, 8]. However, there are several studies from the 1960’s and onwards indicating higher survival rates in recent cohorts compared with older ones [14, 29,30,31]. These findings are somewhat consistent with our study, with falling 1-year mortality rates from 1995 to 2015, although the observed decline was rather small. The SMR and hazard ratio were at the higher end of earlier reported figures with an overall SMR of 5.7, as compared with prior pooled SMR estimates of 3–4 [1, 2, 10, 32]. Perhaps, this difference could be explained by our study being a nationwide cohort study and thus more inclusive not limited by sample size or certain age-groups. Comparing age-groups, we expectedly (and in accordance with prior studies [33,34,35,36] found that older age of diagnosis was linked to higher mortality rates. SMR, however, peaked in younger age-groups and was not significantly different in males and females. Such findings were also noted in a prior Danish cohort [10]. Information on the modifying role of age at onset in outcome has been inconsistent, but our findings with higher mortality rates in the elderly may be explained by increased occurrence of comorbidities and the reduced life expectancy in this age group. Finally, our SMR was calculated from 1-year mortality rates, which would expectedly be higher than e.g. long-term mortality rates.

Although the lowered mortality rates within the more recent years, in theory, could be explained by lead time bias (meaning that an earlier diagnosis of e.g. mild or early limited cutaneous SSc falsely appears to prolong survival), several things suggest otherwise. First, the mean age and comorbidity burden increased throughout the years in our cohort. Secondly, the main causes of death did not seem to change over the study period (although we admittedly had low power to detect smaller differences). One possibility underlying the increased survival could be related to more aggressive management of e.g. hypertension and other comorbidities, possibly consistent with our observations of more treated patients in the later study period. Currently available treatments for SSc related internal organ involvement e.g. sclerodermal renal crisis, pulmonary hypertension, and more aggressive strategies for interstitial lung disease have also been hypothesized to have changed the pattern of causes of mortality in SSc [31, 37, 38]. We did not observe such pattern changes during our 20-year study period, although we observed a lower proportion of deaths directly attributable to SSc in the late vs. early period. Whether this may be a true finding or changes in registration practice, is, however, unknown. Notably, our study period was limited to 1995–2015 and did not include the calendar time before the introduction of recent treatment approaches. Cardiopulmonary manifestations are currently believed to be among the leading causes of death in SSc [8, 39, 40], which is also supported by our study data. Still, nearly half of all deaths were due to other causes, including approximately one seventh of all deaths being primarily attributed to a cancer diagnosis, underlining the need for a consistent focus on non-SSc comorbidity. The association between SSc and cancer is well recognized and an area warranting more research [41, 42].

Study strengths and weaknesses

In general, Denmark is well-suited for epidemiological studies of rare diseases, as the population is stable and homogeneous, and as the Danish registries, including the hospitalization registries, are accurate and complete [43, 44]. Considering the findings of the validation process and the high positive predictive value (94%) of the diagnosis in the DNPR, this report is submitted on the assumption that the SSc diagnosis is valid and accurate. However, the validation process was not based on a completely random selection of patient files due to the infeasibility of doing so (restrained by Danish laws). The principle strength of this study is the unselected nature of the population. A major limitation is the lack of validation of causes of death which were based on clinicians’ adjudication. Furthermore, as the specific patient context was not available via the National Causes of Death Registry, it was not possible to classify cause of death and organ involvement as SSc or non-SSc related.

It would have further strengthened the study if it had been possible to discriminate lcSSc from dcSSc, but this was unfortunately not feasible due to the lack of detail in the ICD10 diagnostic coding. Moreover, for patients with prevalent SSc immigrating to Denmark, these could be mis-classified as incident cases in our study. However, the proportion of patients being immigrants was low and not significantly different in early and later study periods, reducing the likelihood that our period results were influenced hereby.

Conclusion

The incidence rate of SSc was approximately 24 per million inhabitants in Denmark, which is somewhat greater than that reported in many prior studies. Further, the incidence rates increased slightly from 1995 to 2015. Over the same period, 1-year mortality rates declined. The main causes of death did not seem to change over the study period although the demographic characteristics of patients with newly diagnosed SSc changed, i.e. patients were older and had more comorbidity at time of diagnosis in the later vs. earlier years. As a seventh of all patients died from cancer, more attention may be warranted on this disease in SSc patients. Further epidemiological studies of SSc based on uniform classification criteria over time are warranted to confirm our hypothesis-generating findings.

Abbreviations

ACR:

American College of Rheumatology

DNPR:

Danish National Patient Registry

EULAR:

European League against Rheumatism

ICD:

international classification of diseases

SMR:

standardized mortality rates

SSc:

systemic sclerosis

References

  1. Rubio-Rivas M, Royo C, Simeon CP, Corbella X, Fonollosa V. Mortality and survival in systemic sclerosis: systematic review and meta-analysis. Semin Arthritis Rheum. 2014;44:208–19.

    Article  Google Scholar 

  2. Elhai M, Meune C, Avouac J, Kahan A, Allanore Y. Trends in mortality in patients with systemic sclerosis over 40 years: a systematic review and meta-analysis of cohort studies. Rheumatology (Oxford). 2012;51:1017–26.

    Article  Google Scholar 

  3. Ranque B, Mouthon L. Geoepidemiology of systemic sclerosis. Autoimmun Rev. 2010;9:A311–8.

    Article  Google Scholar 

  4. Peschken C, Hitchon C. Rising prevalence of systemic autoimmune rheumatic disease: increased awareness, increased disease or increased survival? Arthritis Res Ther. 2012;14:A20.

    PubMed Central  Google Scholar 

  5. Arias-Nunez MC, Llorca J, Vazquez-Rodriguez TR, Gomez-Acebo I, Miranda-Filloy JA, Martin J, Gonzalez-Juanatey C, Gonzalez-Gay MA. Systemic sclerosis in northwestern Spain: a 19-year epidemiologic study. Medicine (Baltimore). 2008;87:272–80.

    Article  Google Scholar 

  6. Steen VD, Oddis CV, Conte CG, Janoski J, Casterline GZ, Medsger TA Jr. Incidence of systemic sclerosis in Allegheny County, Pennsylvania. A twenty-year study of hospital-diagnosed cases, 1963-1982. Arthritis Rheum. 1997;40:441–5.

    Article  CAS  Google Scholar 

  7. Ferri C, Sebastiani M, Lo Monaco A, Iudici M, Giuggioli D, Furini F, Manfredi A, Cuomo G, Spinella A, Colaci M, et al. Systemic sclerosis evolution of disease pathomorphosis and survival. Our experience on Italian patients’ population and review of the literature. Autoimmun Rev. 2014;13:1026–34.

    Article  Google Scholar 

  8. Komocsi A, Vorobcsuk A, Faludi R, Pinter T, Lenkey Z, Kolto G, Czirjak L. The impact of cardiopulmonary manifestations on the mortality of SSc: a systematic review and meta-analysis of observational studies. Rheumatology (Oxford). 2012;51:1027–36.

    Article  Google Scholar 

  9. Tyndall AJ, Bannert B, Vonk M, Airo P, Cozzi F, Carreira PE, Bancel DF, Allanore Y, Muller-Ladner U, Distler O, et al. Causes and risk factors for death in systemic sclerosis: a study from the EULAR scleroderma trials and research (EUSTAR) database. Ann Rheum Dis. 2010;69:1809–15.

    Article  Google Scholar 

  10. Jacobsen S, Halberg P, Ullman S. Mortality and causes of death of 344 Danish patients with systemic sclerosis (scleroderma). Br J Rheumatol. 1998;37:750–5.

    Article  CAS  Google Scholar 

  11. Thygesen SK, Christiansen CF, Christensen S, Lash TL, Sorensen HT. The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of patients. BMC Med Res Methodol. 2011;11:83.

    Article  Google Scholar 

  12. Olesen AB, Svaerke C, Farkas DK, Sorensen HT. Systemic sclerosis and the risk of cancer: a nationwide population-based cohort study. Br J Dermatol. 2010;163:800–6.

    Article  CAS  Google Scholar 

  13. Nikpour M, Stevens WM, Herrick AL, Proudman SM. Epidemiology of systemic sclerosis. Best Pract Res Clin Rheumatol. 2010;24:857–69.

    Article  Google Scholar 

  14. Mayes MD, Lacey JV Jr, Beebe-Dimmer J, Gillespie BW, Cooper B, Laing TJ, Schottenfeld D. Prevalence, incidence, survival, and disease characteristics of systemic sclerosis in a large US population. Arthritis Rheum. 2003;48:2246–55.

    Article  Google Scholar 

  15. Hoffmann-Vold AM, Midtvedt O, Molberg O, Garen T, Gran JT. Prevalence of systemic sclerosis in south-East Norway. Rheumatology (Oxford). 2012;51:1600–5.

    Article  Google Scholar 

  16. Kaipiainen-Seppanen O, Aho K. Incidence of rare systemic rheumatic and connective tissue diseases in Finland. J Intern Med. 1996;240:81–4.

    Article  CAS  Google Scholar 

  17. Geirsson AJ, Steinsson K, Guthmundsson S, Sigurthsson V. Systemic sclerosis in Iceland. A nationwide epidemiological study. Ann Rheum Dis. 1994;53:502–5.

    Article  CAS  Google Scholar 

  18. Allcock RJ, Forrest I, Corris PA, Crook PR, Griffiths ID. A study of the prevalence of systemic sclerosis in Northeast England. Rheumatology (Oxford). 2004;43:596–602.

    Article  CAS  Google Scholar 

  19. Kerneis S, Boelle PY, Grais RF, Pavillon G, Jougla E, Flahault A, Simonsen L, Hanslik T. Mortality trends in systemic sclerosis in France and USA, 1980-1998: an age-period-cohort analysis. Eur J Epidemiol. 2010;25:55–61.

    Article  Google Scholar 

  20. Alamanos Y, Tsifetaki N, Voulgari PV, Siozos C, Tsamandouraki K, Alexiou GA, Drosos AA. Epidemiology of systemic sclerosis in Northwest Greece 1981 to 2002. Semin Arthritis Rheum. 2005;34:714–20.

    Article  Google Scholar 

  21. El Adssi H, Cirstea D, Virion JM, Guillemin F, de Korwin JD. Estimating the prevalence of systemic sclerosis in the Lorraine region, France, by the capture-recapture method. Semin Arthritis Rheum. 2013;42:530–8.

    Article  Google Scholar 

  22. Lo Monaco A, Bruschi M, La Corte R, Volpinari S, Trotta F. Epidemiology of systemic sclerosis in a district of northern Italy. Clin Exp Rheumatol. 2011;29:S10–4.

    PubMed  Google Scholar 

  23. Andreasson K, Saxne T, Bergknut C, Hesselstrand R, Englund M. Prevalence and incidence of systemic sclerosis in southern Sweden: population-based data with case ascertainment using the 1980 ARA criteria and the proposed ACR-EULAR classification criteria. Ann Rheum Dis. 2014;73:1788–92.

    Article  CAS  Google Scholar 

  24. Valesini G, Litta A, Bonavita MS, Luan FL, Purpura M, Mariani M, Balsano F. Geographical clustering of scleroderma in a rural area in the province of Rome. Clin Exp Rheumatol. 1993;11:41–7.

    CAS  PubMed  Google Scholar 

  25. Roberts-Thomson PJ, Jones M, Hakendorf P, Kencana Dharmapatni AA, Walker JG, MacFarlane JG, Smith MD, Ahern MJ. Scleroderma in South Australia: epidemiological observations of possible pathogenic significance. Intern Med J. 2001;31:220–9.

    Article  CAS  Google Scholar 

  26. Kuo CF, See LC, Yu KH, Chou IJ, Tseng WY, Chang HC, Shen YM, Luo SF. Epidemiology and mortality of systemic sclerosis: a nationwide population study in Taiwan. Scand J Rheumatol. 2011;40:373–8.

    Article  Google Scholar 

  27. Jordan S, Maurer B, Toniolo M, Michel B, Distler O. Performance of the new ACR/EULAR classification criteria for systemic sclerosis in clinical practice. Rheumatology (Oxford). 2015;54:1454–8.

    Article  Google Scholar 

  28. Park JS, Park MC, Song JJ, Park YB, Lee SK, Lee SW. Application of the 2013 ACR/EULAR classification criteria for systemic sclerosis to patients with Raynaud's phenomenon. Arthritis Res Ther. 2015;17:77.

    Article  Google Scholar 

  29. Ferri C, Valentini G, Cozzi F, Sebastiani M, Michelassi C, La Montagna G, Bullo A, Cazzato M, Tirri E, Storino F, et al. Systemic sclerosis: demographic, clinical, and serologic features and survival in 1,012 Italian patients. Medicine (Baltimore). 2002;81:139–53.

    Article  Google Scholar 

  30. Nihtyanova SI, Tang EC, Coghlan JG, Wells AU, Black CM, Denton CP. Improved survival in systemic sclerosis is associated with better ascertainment of internal organ disease: a retrospective cohort study. QJM. 2010;103:109–15.

    Article  CAS  Google Scholar 

  31. Steen VD, Medsger TA. Changes in causes of death in systemic sclerosis, 1972-2002. Ann Rheum Dis. 2007;66:940–4.

    Article  Google Scholar 

  32. Hao Y, Hudson M, Baron M, Carreira P, Stevens W, Rabusa C, Tatibouet S, Carmona L, Joven BE, Huq M, et al. Early mortality in a multinational systemic sclerosis inception cohort. Arthritis Rheumatol. 2017;69:1067–77.

    Article  Google Scholar 

  33. Strickland G, Pauling J, Cavill C, Shaddick G, McHugh N. Mortality in systemic sclerosis-a single Centre study from the UK. Clin Rheumatol. 2013;32:1533–9.

    Article  Google Scholar 

  34. Hissaria P, Lester S, Hakendorf P, Woodman R, Patterson K, Hill C, Ahern MJ, Smith MD, Walker JG, Roberts-Thomson PJ. Survival in scleroderma: results from the population-based south Australian register. Intern Med J. 2011;41:381–90.

    Article  CAS  Google Scholar 

  35. Simeon CP, Armadans L, Fonollosa V, Solans R, Selva A, Villar M, Lima J, Vaque J, Vilardell M. Mortality and prognostic factors in Spanish patients with systemic sclerosis. Rheumatology (Oxford). 2003;42:71–5.

    Article  CAS  Google Scholar 

  36. Scussel-Lonzetti L, Joyal F, Raynauld JP, Roussin A, Rich E, Goulet JR, Raymond Y, Senecal JL. Predicting mortality in systemic sclerosis: analysis of a cohort of 309 French Canadian patients with emphasis on features at diagnosis as predictive factors for survival. Medicine (Baltimore). 2002;81:154–67.

    Article  Google Scholar 

  37. Yasuoka H. Recent treatments of interstitial lung disease with systemic sclerosis. Clin Med Insights Circ Respir Pulm Med. 2015;9:97–110.

    PubMed  Google Scholar 

  38. Kowal-Bielecka O, Fransen J, Avouac J, Becker M, Kulak A, Allanore Y, et al. Update of EULAR recommendations for the treatment of systemic sclerosis. Ann Rheum Dis. 2017;76(8):1327–39.

  39. Elhai M, Meune C, Boubaya M, Avouac J, Hachulla E, Balbir-Gurman A, Riemekasten G, Airo P, Joven B, Vettori S, et al. Mapping and predicting mortality from systemic sclerosis. Ann Rheum Dis. 2017;76:1897–905.

    Article  Google Scholar 

  40. Rubio-Rivas M, Simeon-Aznar CP, Velasco C, Mari-Alfonso B, Espinosa G, Corbella X, Colunga-Arguelles D, Egurbide-Arberas MV, Ortego-Centeno N, Vargas-Hitos JA, et al. Changes in the pattern of death of 987 patients with systemic sclerosis from 1990 to 2009 from the nationwide Spanish scleroderma registry (RESCLE). Clin Exp Rheumatol. 2017;35(Suppl 106):40–7.

    PubMed  Google Scholar 

  41. Zeineddine N, Khoury LE, Mosak J. Systemic sclerosis and malignancy: a review of current data. J Clin Med Res. 2016;8:625–32.

    Article  CAS  Google Scholar 

  42. Shah AA, Casciola-Rosen L. Cancer and scleroderma: a paraneoplastic disease with implications for malignancy screening. Curr Opin Rheumatol. 2015;27:563–70.

    Article  CAS  Google Scholar 

  43. Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L, Sorensen HT. The Danish National Patient Registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;7:449–90.

    Article  Google Scholar 

  44. Hermansen ML, Lindhardsen J, Torp-Pedersen C, Faurschou M, Jacobsen S. Incidence of systemic lupus erythematosus and lupus nephritis in Denmark: a Nationwide cohort study. J Rheumatol. 2016;43:1335–9.

    Article  Google Scholar 

  45. Thygesen LC, Daasnes C, Thaulow I, Bronnum-Hansen H. Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving. Scand J Public Health. 2011;39:12–6.

    Article  Google Scholar 

  46. Olesen JB, Lip GY, Hansen ML, Hansen PR, Tolstrup JS, Lindhardsen J, Selmer C, Ahlehoff O, Olsen AM, Gislason GH, Torp-Pedersen C. Validation of risk stratification schemes for predicting stroke and thromboembolism in patients with atrial fibrillation: nationwide cohort study. BMJ. 2011;342:d124.

    Article  Google Scholar 

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Acknowledgements

Not applicable.

Funding

No funding has been received for the conduct of this study or preparation of this manuscript.

Availability of data and materials

Data obtained through the nationwide registers in Denmark can only be made available for research on servers hosted in highly protected research environments. In these institutions researchers can be granted access and permission to use the registers with encrypted person identification. If external parties wish to obtain the raw data they will need to get access through collaboration with the authors or other researchers that already have been granted access. Please contact the first author with any questions regarding data access.

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Authors and Affiliations

  1. Department of Internal Medicine and Cardiology, Amager Hvidovre, Glostrup Hospital, Valdemar Hansensvej 1-23, 2600, Glostrup, Denmark

    Sheraz A. Butt & Jørgen L. Jeppesen

  2. Department of Dermatology, Bispebjerg Hospital, Bispebjerg Bakke 23, 2400, Copenhagen, Denmark

    Christine Fuchs & Mette Mogensen

  3. Department of Rheumatology, Herlev and Gentofte Hospital, Gentofte, Kildegårdsvej 28, 2900, Hellerup, Denmark

    Merete Engelhart

  4. Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7, 9220, Aalborg, Denmark

    Christian Torp-Pedersen

  5. Department of Cardiology, Herlev and Gentofte Hospital, Gentofte, Kildegårdsvej 28, 2900, Hellerup, Denmark

    Gunnar H. Gislason & Charlotte Andersson

  6. Copenhagen Lupus and Vasculitis Clinic, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark

    Søren Jacobsen

Authors
  1. Sheraz A. Butt
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  2. Jørgen L. Jeppesen
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  3. Christine Fuchs
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  4. Mette Mogensen
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  5. Merete Engelhart
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  6. Christian Torp-Pedersen
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  7. Gunnar H. Gislason
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  8. Søren Jacobsen
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  9. Charlotte Andersson
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Contributions

The study was conceptualized and designed by SB, CA, JJ and SJ. Data curation was done by CTP, GG, CA, MM, CF, ME and SB. Formal analysis was done by SB and CA. Methodology was critically appraised by SB, CA, JJ, SJ, CTP and GG. The original draft was written by SB and all authors participated in writing, editing, critical appraisal for important intellectual content of the manuscript and its final approval.

Corresponding author

Correspondence to Sheraz A. Butt.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Danish Data Protection Agency (ref. 2007-58-0015, int. ref. GEH-2014-018). As a retrospective registry-based study, Danish law does not require ethical approval [45]. The chart review for the validation process was approved by the Danish Patient Safety Authority and the permission was granted based on the assumption that only physicians at a given department reviewed its own patients’ charts.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Additional files

Additional file 1:

Variables and sources. Diagnoses (ICD-8 and ICD-10) and medication (ATC, Anatomical Therapeutical Chemical) codes used. (DOCX 20 kb)

Additional file 2:

Overall incidence rates, mean age at diagnosis and proportion of women in 1995–2015. Description: The table depicts data from 1995 to 2015 including number of cases per year, observation time (total person years), incidence rate per million, mean age at onset, and proportion of women (%). (DOCX 20 kb)

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Butt, S.A., Jeppesen, J.L., Fuchs, C. et al. Trends in incidence, mortality, and causes of death associated with systemic sclerosis in Denmark between 1995 and 2015: a nationwide cohort study. BMC Rheumatol 2, 36 (2018). https://doi.org/10.1186/s41927-018-0043-6

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  • DOI: https://doi.org/10.1186/s41927-018-0043-6

Keywords

  • Systemic sclerosis
  • Scleroderma
  • Incidence
  • Mortality
  • Cause of death
  • Epidemiology

BMC Rheumatology

ISSN: 2520-1026

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