Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2010 Mar 2.
Published in final edited form as: Arch Dermatol. 2009 Mar;145(3):255–260. doi: 10.1001/archdermatol.2008.594

Cross-sectional analysis of a collaborative web-based database for lupus erythematosus associated skin lesions: 114 prospectively enrolled patients

Siamak Moghadam-Kia 1, Katherine Chilek 1, Elizabeth Gaines 1, Melissa Costner 2, Mathew E Rose 1, Joyce Okawa 1, Victoria P Werth 1,3
PMCID: PMC2830744  NIHMSID: NIHMS82298  PMID: 19289753

Abstract

Objective

To assess disease severity in subsets of cutaneous lupus erythematosus (CLE) by using outcome and quality of life (QoL) measures, and to determine treatment responsiveness by establishing a web-based database of patients with skin manifestations of lupus.

Design

A prospective, cross-sectional study.

Setting

A university hospital cutaneous autoimmunity outpatient clinic

Patients

One hundred fourteen patients who presented from January 2007 to November 2007 and met the criteria for having CLE or lupus-nonspecific skin disease.

Main Outcome Measures

We used the CLE Disease Activity and Severity index (CLASI) to evaluate cutaneous disease. Patients completed the modified Skindex-29 at each visit.

Results

Seven (6.2%) of the University of Pennsylvania patients presented with ACLE, 21 (18.6 %) with SCLE, 77 (68.1 %) with CCLE, 7 (6.2 %) with SLE and LE-nonspecific skin lesions, and 1 (0.9 %) with LE-nonspecific skin disease only. The mean baseline CLASI activity/damage scores in ACLE, SCLE, and CCLE patients were 6.4/5.1, 11.1, 1.6, 7.5/10.2, respectively. The mean baseline modified Skindex-29 score in ACLE, SCLE, and CCLE patients was 76.3, 79.4, and 82.7, respectively (ns). Eleven of the patients (9.7%) were considered refractory to conventional therapies. The number of patients with positive history of current smoking was significantly higher in the refractory group than the non-refractory group (p=0.006).

Conclusions

This web-based database is the first systematic epidemiologic study of cutaneous LE in the United States, and should allow collection of data related to disease activity, QoL, and response to therapy at multiple centers.

Introduction

Lupus Erythematosus (LE) is a potentially disabling autoimmune disease that presents clinically as a spectrum ranging from mildly affected patients with only localized discoid skin lesions to those at risk of dying from severe systemic manifestations of LE. While the prevalence of systemic LE (SLE) is 17-48 per 100,000 worldwide, cutaneous LE is estimated to be as much as 2-3 times more frequent than SLE itself.1 Skin disease is the second most frequent clinical manifestation of LE as well as the second most common primary presenting symptom of LE.2

Skin disease in LE is diagnosed on the basis of clinical, serological and histological criteria, following the Gilliam’s or modified Gilliam’s classification.3-4 According to this classification, skin disease in LE can present with either lupus-specific cutaneous LE (CLE) or lupus-nonspecific findings. Lupus-specific skin lesions are seen only in patients with LE. Lupus-nonspecific skin lesions may occur in patients with LE, but also may be present among other disease processes. Lupus-specific skin manifestations are subclassified into chronic CLE (CCLE), subacute CLE (SCLE), and acute CLE (ACLE).3 The types of skin lesions in an individual patient can provide insight into the likelihood of underlying systemic disease. CCLE and SCLE may persist for many years, and like SLE, may lead to severe disability and limited quality of life. CLE is considered to be the third most common cause of industrial disability from dermatologic disease, with as many as 45% of CLE patients experiencing some form of vocational handicap.5 These data imply considerable societal and medical costs for patients.

The need for high quality, multicenter clinical databases which enable collection and organization of information on specific diseases has been well documented. Databases enable clinicians to conduct research, plan and manage services, and obtain more accurate estimates of care outcomes that can be shared with patients.6-11 Valid and reliable information is critical in chronic diseases like LE in which patients present with a large spectrum of symptoms requiring management over an extended period of time.12

At present, though a few SLE databases exist, including the Cincinnati Children’s Hospital SLE Database and the CaNIOS (National Lupus Registry and the 1000 Canadian Faces of Lupus) Database,13-14 there has not been a comprehensive prospective collection of data on CLE. Since research projects depend on systematic data collection to determine feasibility and design, medical databases are a valuable tool to support new inquiries and investigations.

Additionally, until recently there have been no adequate disease severity measures available to allow this type of study to be conducted. Skin-specific and systemic clinical outcome and quality of life measures have recently become available to enable clinicians to plan future research projects that can lead to improved patient care and treatment modalities. The CLE Disease Activity and Severity index (CLASI) was designed in 2005 to convert subjective observations seen in CLE into objective data by means of a scoring system.15 The recent development of this validated skin instrument, which has separate scores for quantifying activity and damage, has made it possible to objectively follow patients’ disease course and response to therapy. Since CLE is a relatively rare condition, data collection can be improved by multicenter collaborative efforts.

We established a collaborative, web-based database to collect information on patients with various skin manifestations of LE in order to elucidate certain differences that may exist across disease subtypes. This is the first known systematic epidemiologic study of cutaneous LE in the United States. The primary endpoints of our prospective study were: 1) to establish a web-based database of patients with skin lesions associated with lupus erythematosus, 2) to perform a prospective evaluation of CLE patients in order to assess disease severity, quality of life, and response to therapy, and 3) to determine the prevalence, clinical severity, and characteristics of refractory cases. Using available and validated clinical outcome measures such as the CLASI and quality of life measures such as the modified Skindex-29, we evaluated the severity of disease as well as the efficacy of currently available treatments in order to assess the need for novel interventions and provide useful data for future clinical trials of new therapies for CLE.

Methods

Subject Selection

Subjects at the University of Pennsylvania were enrolled sequentially during scheduled outpatient clinic visits. All subjects at the University of Pennsylvania who were 18 years of age or older and who were diagnosed with CLE or LE-nonspecific disease by clinico-histopathological correlation were invited to enroll in the database study. Most of these patients were already receiving established medical standard of care at the Hospital of the University of Pennsylvania. All subjects were consented using IRB-approved informed consent and HIPAA forms.

Study Procedures

Information was obtained via history, physical exams, chart reviews, and subject questionnaires. All subjects who agreed to participate were assessed in terms of specific parameters related to their medical history and treatment. Information related to socio-demographics (age, gender), concomitant systemic illness and duration, dermatologic diagnosis and duration, smoking history, medications used, and response to therapies was recorded. The following distinct yet complementary outcome measures of the subject’s disease and therapeutic experience were used at each visit: the CLASI; the SLE disease activity index (SLEDAI), which evaluates systemic disease; the modified Skindex-29, a CLE-modified quality-of-life (QoL) measure; and analogue measures of itch, pain, fatigue, general health, and skin assessments. Data were collected in accordance with Good Clinical Practice (GCP) guidelines to ensure accuracy and integrity. Completeness of data and use of explicit definitions for variables were assessed and a constant effort at quality control was maintained. Data were then organized and entered into a collaborative web-based database. Data security and confidentiality were managed carefully to ensure regulatory compliance.

Subjects were categorized into the various subtypes of CLE, namely ACLE, SCLE (annular or papulosquamous), and CCLE (classic DLE [generalized or localized], hypertrophic DLE, tumid LE, chilblains, or lupus panniculitis), according to the modified Gilliams’s classification.4

Statistical Analysis

Conventional methods were used to generate descriptive statistical results. Groups were compared by using ANOVA, followed by the Student-newman-Keuls Test. P values of less than 0.05 were considered to represent differences among population sets examined.

Results

We sequentially enrolled and followed 114 patients who presented to our outpatient clinic at the Hospital of the University of Pennsylvania from January 2007 to November 2007 and met the criteria for having CLE or lupus-nonspecific skin disease. One of the patients had three types of LE-specific skin disease with ACLE, SCLE, and CCLE skin lesions. CCLE was the most predominant subset seen, with 77 patients (68.1%) carrying that diagnosis. Of these subjects, 26 had generalized DLE, 32 had localized DLE, 2 had hypertrophic DLE, 13 had tumid LE, 1 had chilblains, and 3 had LE panniculitis. Seven (6.2%) of the subjects presented with ACLE, 21 (18.6 %) presented with SCLE, 7 (6.2 %) presented with SLE and LE-nonspecific skin lesions, and 1 (0.9 %) presented with LE-nonspecific skin disease only. Of the SCLE patients, 17 (81 %) had predominantly papulosquamous lesions, 2 (9.5 %) had predominantly annular lesions, and 2 (9.5 %) had a combination of both papulosquamous and annular lesions (Table 1). Twenty-five subjects refused to participate in the study. Twenty-two (88 %) of these subjects were female and 3 (12%) of them were male. Race distribution in the non-enrolled subjects was as follows: 52% Caucasian, 44% African-American, and 4% Asian. Twenty-three of the non-enrolled subjects had CCLE (20 female, 3 male; 11 Caucasian, 11 African-American, 1 Asian), 1 had SCLE (female, Caucasian), and 1 had SLE (female, Caucasian).

Table 1.

Demographics of the patients recruited at the University of Pennsylvania

Type of LE skin manifestations Number of cases Age at onset (mean+/- SEM; range) F/M ratio Race distribution
African-American Caucasian Hispanic Asian
ACLE 7 33.1+/-5.0; 17-56) 7/0 3 3 0 1
SCLE 21 48.2+/-4.1; 15-82 16/5 (3.2) 20 1
CCLE 77 36.1+/-1.5; 12-65 62/15 (4.1) 37 36 1 3
CCLE Subclassifications DLE generalized 26 32.6+/-1.9 ;19-57 21/5 (4.2) 17 8 1
DLE localized 32 39.1+/-2.8; 12-65) 26/6 (4.3) 17 14 1
DLE hypertrophic 2 24.5+/-5.0; 21-28) 2/0 2
Tumid LE 13 37.4+/-3.4; 19-60) 9/4 (2.2) 2 9 1 1
Chilblains 1 46 1/0 1
LE panniculitis 3 36.3+/-14.3; 20-59) 3/0 1 2
SLE 7 34.5+/-4.1; 24-45) 7/0 1 6
Only LE non-specific disease 1 23 1/0 1

Demographics

The racial composition of our study population was as follows: 58.4% Caucasian, 36.3% African-American, 0.9% Hispanic, and 4.4% Asian. Thirty-six (46.8 %) CCLE subjects were Caucasian, 37 (48 %) were African-American, 3 (3.9 %) were Asian, and 1 (1.3 %) was Hispanic. Twenty (95.2 %) SCLE subjects were Caucasian, and 1 (4.8 %) was Asian. Three (42.9 %) ACLE subjects were Caucasian, 3 (42.9 %) were African-American, and 1 (14.3%) was Asian. Females comprised the majority of the study population, as ninety-three (82.3 %) of our subjects were female and only 20 (18%) were male. Female-to-male ratio was 3.2:1 in subjects with SCLE and 4.1:1 in subjects with CCLE. Within CCLE subsets, the female-to-male ratio was the highest (4.3) in subjects with localized DLE and the lowest (2.2) in subjects with tumid LE. All of our ACLE subjects were female.

The mean age at onset was the highest in SCLE subjects (48.2 +/- 4.1, P<0.05 for SCLE vs. ACLE and SCLE vs. CCLE). The difference between the mean age at onset in ACLE subjects and CCLE subjects was not statistically significant (33.1 +/- 5 vs. 36.1 +/- 1.5, P = NS). Eight (7.6 %) of the CLE subjects were younger than 20 years old at onset of disease and 5 (4.8 %) were older than 60 at the time of onset. 10% of the SCLE subjects were younger than 20 at disease onset, while 20% were older than 60 at the time of onset. 6.9 % of the CCLE subjects were younger than 20 at disease onset and 1.4% were older than 60; however, there was no significant difference in the age at onset between the different subsets of CCLE. Furthermore, in the CCLE subjects, no significant difference at age of onset between genders was found (mean age at onset in our female and male CCLE subjects: 36.5 +/- 1.6 and 33.2 +/- 3.9, respectively, P=0.39 [t test]) (Table 1).

CLASI analysis

Regarding CLASI, modified Skindex-29, and SLEDAI calculations, we used second visit data instead of first visit data in 5 subjects (1 ACLE, and 4 CCLE [1 localized DLE, 2 generalized DLE, 1 tumid LE]) due to the unavailability of first visit data. Four subjects (all with CCLE [1 localized DLE, 1 generalized DLE, 1 tumid LE, 1 LE panniculitis] were excluded from the CLASI, modified Skindex-29, and SLEDAI calculations, and 2 subjects (1 SCLE, and 1 CCLE [tumid LE]) were excluded only from SLEDAI calculations due to unavailability of data. The mean baseline CLASI activity score (performed at the first visit) was the highest in SCLE subjects and higher in CCLE than ACLE subjects; however, none of these differences were statistically significant (P=0.244) (Table 2). The mean baseline CLASI damage score was the highest in CCLE subjects and higher in ACLE than SCLE subjects (P<0.05 for CCLE vs. SCLE; NS for CCLE or SCLE vs. ACLE) (Table 2). Within CCLE subsets the mean baseline CLASI activity score was the highest in generalized DLE subjects and similar between tumid LE and localized DLE subjects (P<0.05 for generalized DLE vs. localized DLE and generalized DLE vs. tumid LE; NS for tumid LE vs. localized DLE). The mean baseline CLASI damage score was the highest in generalized DLE subjects and higher in localized DLE than in tumid LE subjects (P<0.05 for generalized DLE vs. tumid LE, generalized DLE vs. localized DLE, and localized DLE vs. tumid LE) (Table 3).

Table 2.

CLASI, modified Skindex-29, and SLEDAI in the CLE patients recruited at the University of Pennsylvania

Type of LE skin manifestations ACLE SCLE CCLE
CLASI Activity (mean+/-SEM; range) 6.4+/-3.3; 0-19 11.1+/-2.5; 0-41 7.5+/-1; 0-32
CLASI Damage (mean+/-SEM; range) 5.1+/-2; 0-11 1.6+/-0.9; 0-17 10.2+/-1.2; 0-40
Modified Skindex-29 (mean+/-SEM; range) 76.3+/-12.1; 43-120 79.4+/-6.9; 33-137 82.7+/-3.3; 34-142
SLEDAI (mean+/-SEM; range) 4.3+/-1.5; 0-10 2.2+/-0.8; 0-10 1.7+/-0.3; 0-11

Table 3.

CLASI and modified Skindex-29 in the CCLE patients recruited at the University of Pennsylvania

Type of LE skin manifestations Generalized DLE Localized DLE Tumid LE
CLASI Activity (mean+/-SEM; range) 13.3+/-2.2; 0-32 4+/-0.8; 0-17 5+/-0.9; 2-12
CLASI Damage (mean+/-SEM; range) 19.2+/-2.4; 0-40 6.6+/-0.9; 0-18 1.9+/-1; 0-10
Modified Skindex-29 (mean+/-SEM; range) 93.6+/-5.6; 40-141 74.2+/-3.6; 41-110 75.7+/-9.1; 43-141

Skindex analysis

The mean baseline modified Skindex-29 total score was not significantly different among the subsets of CLE (See Table 2). The mean baseline modified Skindex-29 total score was the highest in generalized DLE subjects and similar in tumid LE and localized DLE subjects (P<0.05 for generalized DLE vs. localized DLE, generalized DLE vs. tumid LE; NS for tumid LE vs. localized DLE) (Table 3).

SLEDAI analysis

The mean baseline SLEDAI total score was the highest in our ACLE subjects and trending to higher in the SCLE than in the CCLE subjects; however, none of these differences were statistically significant (P=0.08) (Table 2).

LE-nonspecific skin lesions

The lowest incidence (23.8%) of LE-nonspecific skin lesions occurred in SCLE subjects, while CCLE subjects had a slightly higher incidence (31.2%) of LE-nonspecific skin lesions. The highest incidence of LE-nonspecific skin lesions was seen among ACLE subjects (57.1%) (p=ns, χ2).

Refractory Cases

Eleven subjects (9.7%) at the University of Pennsylvania were considered refractory to conventional therapies, meaning that their skin lesions remained active despite aggressive medical treatment. The majority of refractory cases were females. The distribution of subtypes in the refractory group was significantly different from the distribution of subtypes in the whole population, and the number of refractory cases was enriched with generalized DLE relative to localized DLE and SCLE (p=0.036, χ2). The number of subjects with current history of smoking was significantly higher in the refractory group than the non-refractory group (p=0.006). The race distribution in the refractory group was not significantly different from the race distribution in the whole population (Table 4).

Table 4.

Characteristics of refractory cases recruited at the University of Pennsylvania (HCQ=hydroxychloroquine, CQ=chloroquine, Q=quinacrine)

Diagnosis Sex Ethnicity Age at onset Medication History
Generalized DLE F African-American 33 HCQ, CQ, Q, immunosuppressives, systemic steroids, thalidomide
Generalized DLE F African-American 30 HCQ, Q, immunosuppressives, systemic steroids
Generalized DLE F Caucasian 28 HCQ, CQ, Q, immunosuppressives, thalidomide, dapsone
Generalized DLE F African-American 28 HCQ, CQ, Q, immunosuppressives, systemic steroids, thalidomide
Generalized DLE F African-American 35 HCQ, CQ, Q, immunosuppressives, systemic steroids, thalidomide
Generalized DLE F African-American 39 HCQ, Q, immunosuppressives, systemic steroids
Localized DLE F African-American 32 HCQ, immunosuppressives, systemic steroids
Localized DLE F Caucasian 58 HCQ, CQ, Q, immunosuppressives, thalidomide
Hypertrophic DLE F Caucasian 28 HCQ, CQ, Q, immunosuppressives, systemic steroids, thalidomide
Hypertrophic DLE F Caucasian 21 CQ, Q, immunosuppressives, systemic steroids, thalidomide
SCLE M Caucasian 37 HCQ, CQ, Q, immunosuppressives, thalidomide

Discussion

Sontheimer et al. found SCLE lesions in 9 % of their study patients,16 and others have found SCLE lesions in 7-27 % of their LE patient populations.17-23 SCLE patients comprised 18.6 % of our LE patient population, similar to previously reported ratios. Most of our SCLE patients had papulosquamous rather than annular-polycyclic lesions, similar to previous reported results.24 Additionally, most of our CCLE patients presented with DLE (either generalized or localized) or tumid LE.

The majority (82.3%) of our LE patients were female, consistent with previous studies.25 However, more of our CLE patients were Caucasian rather than African-American (58.4 vs. 36.3). This finding is different from the previously reported higher incidence of systemic LE in African-Americans relative to Caucasians.26-27 The difference implies that there may be a difference between SLE and cutaneous LE and may also reflect the population of patients attending the Hospital of the University of Pennsylvania clinic. The majority of SCLE subjects were Caucasian, which is consistent with an earlier report that indicated that 85% of the involved SCLE population is of Caucasian origin.16 Others have reported similar racial demographic data.17, 20, 21, 23, 28-30 CCLE subjects were evenly divided between Caucasians and African-Americans, which differs from previous reports. Hochberg et al. showed that African-Americans were seemingly affected more frequently by DLE;31 however, some earlier studies have found DLE to be more frequent in Caucasians.32-35 These results likely reflect different populations drawn to clinics.

The mean age at onset was the highest in our SCLE subjects. The mean age of onset was lower in our ACLE than CCLE subjects; however, this difference was not statistically significant. Malar rash, which is the most common pattern of localized ACLE, has previously been suggested to be associated with a younger age of disease onset.17 There was no significant difference in the age at onset between different subsets of CCLE. The mean age at onset in our CCLE subjects (36.1) was not significantly different between genders. The usual age at onset of DLE has been reported as 20 to 40 years both in male and females.32-38

All of our ACLE subjects were female, which is consistent with a previously reported female-to-male ratio in ACLE patients of 8:1.39 Malar rash has been reported more commonly in women than in men,17, 40 which correlates with the higher incidence of ACLE in women. The female-to-male ratio was not significantly different between SCLE and CCLE subjects. The female-to-male ratio was 3.2:1 in our SCLE subjects. Earlier studies have shown that there is likewise a female predominance in SCLE, with women affected 3-6 times more frequently than men.16, 31, 41 The female-to-male ratio in our CCLE subjects of 4.1:1 is somewhat higher than reported ratios of 3:1.35, 42, 43 Other researchers have reported the female-to-male ratio for DLE to be between 3:2 and 3:1,33-38, 42, 43 lower than the ratio of females to males with SLE. In CCLE subjects, the female-to-male ratio was the lowest in tumid LE patients. Interestingly, half of our CLE subjects with onset of disease before age 20 were male.

The CLASI was developed due to a need for skin-based outcome measures for clinical trials in CLE. It allows for detailed measurement of the extent and severity of skin involvement. The mean baseline CLASI activity score was the highest in our SCLE subjects and was similar between our ACLE and CCLE subjects. The mean baseline CLASI damage score was the highest in our CCLE subjects, which is not surprising since CCLE lesions typically can produce scarring and dyspigmentation as they resolve. The mean baseline CLASI damage score was higher in ACLE than SCLE subjects. This may reflect that there are African Americans who pigment with ACLE, while SCLE subjects are Caucasian.

CLASI can document the distribution and severity of cutaneous symptoms in a way that allows comparison between groups of patients. In our CCLE patients, the mean baseline CLASI activity score was the highest in generalized DLE subjects and was similar between localized DLE and tumid LE subjects. As mentioned before, the majority of patients with CCLE lesions tend to suffer an indolently progressive disease that can spread to scarring and dyspigmentation. The mean baseline CLASI damage score was the highest in generalized DLE subjects and was higher in localized DLE than tumid LE subjects.

QoL assessment in dermatology has become a major focus for researchers. The development of new therapeutics is dependent upon meeting the needs of patients. Therefore, using patient-rated outcome measures is one of the best methods of understanding this need. The Skindex is a commonly used index of QoL in dermatology. Since CLE is exacerbated with sun exposure, three questions related to photosensitivity were added to create the modified Skindex-29. The modified Skindex-29 total score was not significantly different among the ACLE, SCLE, and CCLE subsets of CLE.

In our CCLE subjects, the mean baseline modified Skindex-29 total score was the highest in generalized DLE subjects and was similar between localized DLE and tumid LE subjects. Future studies will correlate QoL findings with elements of activity and damage in the CLASI, given the trend to worse QoL in generalized DLE.

The mean baseline SLEDAI total score was the highest in our ACLE subjects and was higher in our SCLE than CCLE subjects, but these differences were not statistically significant. Our subjects were at the mild end of the SLE spectrum.

Almost 10% of our patients were considered refractory to current therapies, with a disproportionate number (54.5 %) of these cases having generalized DLE. Other studies have suggested that patients with generalized DLE have more resistant disease and involvement of cytotoxic T cells.44 DLE has previously been associated with smoking.45 Smoking has been also shown to interfere with efficacy of antimalarials in CLE.46-47 Our data regarding the higher number of smokers in the refractory group suggest that smoking may be a risk factor for refractory CLE. This highlights the importance of smoking cessation in CLE.

Interest in CLE by pharmaceutical and biotechnology companies has increased and in preparation for future clinical trials of new therapies for CLE, it is crucial that the prevalence, clinical severity, and characteristics of refractory cases be measured and evaluated. This target population of refractory patients will benefit the most from new therapies and assessment of their prevalence will assist in planning future studies.

Conclusions

This pilot study demonstrates the ability to collect data prospectively using a web-based design. Our data suggest significant numbers of both generalized and localized DLE subjects relative to SCLE and ACLE subjects. Our data showed higher CLASI scores in generalized versus localized patients, with a trend to higher modified Skindex-29 scores in generalized DLE. Our future goals are to follow treatment responsiveness and disease severity prospectively, to assess feasibility of using instruments to measure CLE flares, to compare skin-specific vs. general QoL measures in CLE, and to expand use of the web-based database to incorporate participation from additional sites.

Acknowledgments

This study was supported in part by a V.A. Merit Review grant and National Institutes of Health (NIH K24-AR 02207)

Footnotes

Financial Disclosure: No disclosure relevant to the manuscript.

References

  • 1.Tebbe B, Orfanos CE. Epidemiology and socioeconomic impact of skin disease in lupus erythematosus. Lupus. 1997;6(2):96–104. doi: 10.1177/096120339700600204. [DOI] [PubMed] [Google Scholar]
  • 2.Pistiner M, Wallace DJ, Nessim S, Metzger AL, Klinenberg JR. Lupus erythematosus in the 1980s: A survey of 570 patients. Semin Arthritis Rheum. 1991 Aug;21(1):55–64. doi: 10.1016/0049-0172(91)90057-7. [DOI] [PubMed] [Google Scholar]
  • 3.Gilliam JN, Sontheimer RD. Distinctive cutaneous subsets in the spectrum of lupus erythematosus. J Am Acad Dermatol. 1981 Apr;4(4):471–5. doi: 10.1016/s0190-9622(81)80261-7. [DOI] [PubMed] [Google Scholar]
  • 4.Sontheimer RD. The lexicon of cutaneous lupus erythematosus--a review and personal perspective on the nomenclature and classification of the cutaneous manifestations of lupus erythematosus. Lupus. 1997;6(2):84–95. doi: 10.1177/096120339700600203. [DOI] [PubMed] [Google Scholar]
  • 5.O’Quinn SE, Cole J, Many H. Problems of disability and rehabilitation in patients with chronic skin diseases. Arch Dermatol. 1972 Jan;105(1):35–41. [PubMed] [Google Scholar]
  • 6.Pryor DB, Califf RM, Harrell FE, Jr, et al. Clinical data bases. accomplishments and unrealized potential. Med Care. 1985 May;23(5):623–47. doi: 10.1097/00005650-198505000-00020. [DOI] [PubMed] [Google Scholar]
  • 7.Black N. High-quality clinical databases: Breaking down barriers. Lancet. 1999 Apr 10;353(9160):1205–6. doi: 10.1016/S0140-6736(99)00108-7. [DOI] [PubMed] [Google Scholar]
  • 8.Smith R. Is the NHS getting better or worse? BMJ. 2003 Nov 29;327(7426):1239–41. doi: 10.1136/bmj.327.7426.1239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Williams JG, Cheung WY, Cohen DR, Hutchings HA, Longo MF, Russell IT. Can randomised trials rely on existing electronic data? A feasibility study to explore the value of routine data in health technology assessment. Health Technol Assess. 2003;7(26):iii–v. x, 1–117. doi: 10.3310/hta7260. [DOI] [PubMed] [Google Scholar]
  • 10.Lundin J, Lundin M, Isola J, Joensuu H. A web-based system for individualised survival estimation in breast cancer. BMJ. 2003 Jan 4;326(7379):29. doi: 10.1136/bmj.326.7379.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Black N, Barker M, Payne M. Cross sectional survey of multicentre clinical databases in the united kingdom. BMJ. 2004 Jun 19;328(7454):1478. doi: 10.1136/bmj.328.7454.1478. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Edworthy SM. A database for systemic lupus erythematosus and systemic connective tissue disorders. Rheum Dis Clin North Am. 1995 May;21(2):501–25. [PubMed] [Google Scholar]
  • 13.http://www.cincinnatichildrens.org/research/trials/current/rheumatology/database.htm
  • 14.http://www.canios.ca/Operations_studies.aspx
  • 15.Albrecht J, Taylor L, Berlin JA, et al. The CLASI (cutaneous lupus erythematosus disease area and severity index): An outcome instrument for cutaneous lupus erythematosus. J Invest Dermatol. 2005 Nov;125(5):889–94. doi: 10.1111/j.0022-202X.2005.23889.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sontheimer RD, Thomas JR, Gilliam JN. Subacute cutaneous lupus erythematosus: A cutaneous marker for a distinct lupus erythematosus subset. Arch Dermatol. 1979 Dec;115(12):1409–15. [PubMed] [Google Scholar]
  • 17.Cervera R, Khamashta MA, Font J, et al. Systemic lupus erythematosus: Clinical and immunologic patterns of disease expression in a cohort of 1,000 patients. the european working party on systemic lupus erythematosus. Medicine (Baltimore) 1993 Mar;72(2):113–24. [PubMed] [Google Scholar]
  • 18.Weinstein C, Miller MH, Axtens R, Littlejohn GO, Dorevitch AP, Buchanan R. Lupus and non-lupus cutaneous manifestations in systemic lupus erythematosus. Aust N Z J Med. 1987 Oct;17(5):501–6. doi: 10.1111/j.1445-5994.1987.tb00108.x. [DOI] [PubMed] [Google Scholar]
  • 19.Wysenbeek AJ, Guedj D, Amit M, Weinberger A. Rash in systemic lupus erythematosus: Prevalence and relation to cutaneous and non-cutaneous disease manifestations. Ann Rheum Dis. 1992 Jun;51(6):717–9. doi: 10.1136/ard.51.6.717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Herrero C, Bielsa I, Font J, et al. Subacute cutaneous lupus erythematosus: Clinicopathologic findings in thirteen cases. J Am Acad Dermatol. 1988 Dec;19(6):1057–62. doi: 10.1016/s0190-9622(88)70272-8. [DOI] [PubMed] [Google Scholar]
  • 21.Molad Y, Weinberger A, David M, Garty B, Wysenbeek AJ, Pinkhas J. Clinical manifestations and laboratory data of subacute cutaneous lupus erythematosus. Isr J Med Sci. 1987 Apr;23(4):278–80. [PubMed] [Google Scholar]
  • 22.Mooney E, Wade TR. Subacute cutaneous lupus erythematosus in iceland. Int J Dermatol. 1989 Mar;28(2):104–6. doi: 10.1111/j.1365-4362.1989.tb01328.x. [DOI] [PubMed] [Google Scholar]
  • 23.Cohen MR, Crosby D. Systemic disease in subacute cutaneous lupus erythematosus: A controlled comparison with systemic lupus erythematosus. J Rheumatol. 1994 Sep;21(9):1665–9. [PubMed] [Google Scholar]
  • 24.Yell JA, Mbuagbaw J, Burge SM. Cutaneous manifestations of systemic lupus erythematosus. Br J Dermatol. 1996 Sep;135(3):355–62. [PubMed] [Google Scholar]
  • 25.Hopkinson ND, Doherty M, Powel RJ. The prevalence and incidence of systemic lupus erythematosus in Nottingham, UK, 1989-1990. Br J Rheum. 1993;32:110–115. doi: 10.1093/rheumatology/32.2.110. [DOI] [PubMed] [Google Scholar]
  • 26.Hopkinson ND, Doherty M, Powell RJ. Clinical features and race-specific incidence/prevalence rates of systemic lupus erythematosus in a geographically complete cohort of patients. Ann Rheum Dis. 1994 Oct;53(10):675–80. doi: 10.1136/ard.53.10.675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.McCarty DJ, Manzi S, Medsger TA, Jr, Ramsey-Goldman R, LaPorte RE, Kwoh CK. Incidence of systemic lupus erythematosus. race and gender differences. Arthritis Rheum. 1995 Sep;38(9):1260–70. doi: 10.1002/art.1780380914. [DOI] [PubMed] [Google Scholar]
  • 28.Callen JP, Klein J. Subacute cutaneous lupus erythematosus. clinical, serologic, immunogenetic, and therapeutic considerations in seventy-two patients. Arthritis Rheum. 1988 Aug;31(8):1007–13. doi: 10.1002/art.1780310811. [DOI] [PubMed] [Google Scholar]
  • 29.Johansson-Stephansson E, Koskimies S, Partanen J, Kariniemi AL. Subacute cutaneous lupus erythematosus. genetic markers and clinical and immunological findings in patients. Arch Dermatol. 1989 Jun;125(6):791–6. doi: 10.1001/archderm.125.6.791. [DOI] [PubMed] [Google Scholar]
  • 30.Shi SY, Feng SF, Liao KH, Fang L, Kang KF. Clinical study of 30 cases of subacute cutaneous lupus erythematosus. Chin Med J (Engl) 1987 Jan;100(1):45–8. [PubMed] [Google Scholar]
  • 31.Hochberg MC. Systemic lupus erythematosus. Rheum Dis Clin North Am. 1990 Aug;16(3):617–39. [PubMed] [Google Scholar]
  • 32.Prystowsky SD, Herndon JH, Jr, Gilliam JN. Chronic cutaneous lupus erythematosus (DLE)--a clinical and laboratory investigation of 80 patients. Medicine (Baltimore) 1976 Mar;55(2):183–91. doi: 10.1097/00005792-197603000-00006. [DOI] [PubMed] [Google Scholar]
  • 33.Callen JP. Chronic cutaneous lupus erythematosus. clinical, laboratory, therapeutic, and prognostic examination of 62 patients. Arch Dermatol. 1982 Jun;118(6):412–6. doi: 10.1001/archderm.118.6.412. [DOI] [PubMed] [Google Scholar]
  • 34.Prystowsky SD, Herndon JH, Jr, Gilliam JN. Chronic cutaneous lupus erythematosus (DLE)--a clinical and laboratory investigation of 80 patients. Medicine (Baltimore) 1976 Mar;55(2):183–91. doi: 10.1097/00005792-197603000-00006. [DOI] [PubMed] [Google Scholar]
  • 35.Rothfield N, March CH, Miescher P, Mcewen C. Chronic discoid lupus erythematosus. N Engl J Med. 1963 Nov 28;269:1155–61. doi: 10.1056/NEJM196311282692201. [DOI] [PubMed] [Google Scholar]
  • 36.Marten RH, Blackburn EK. Lupus erythematosus. A five-year follow-up of 77 cases. Arch Dermatol. 1961 Mar;83:430–6. doi: 10.1001/archderm.1961.01580090080010. [DOI] [PubMed] [Google Scholar]
  • 37.Scott A, Rees EG. The relationship of systemic lupus erythematosus and discoid lupus erythematosus; a clinical and hematological study. AMA Arch Derm. 1959 Apr;79(4):422–35. doi: 10.1001/archderm.1959.01560160040005. [DOI] [PubMed] [Google Scholar]
  • 38.Shrank AB, Doniach D. Discoid lupus erythematosus. correlation of clinical features with serum auto-antibody pattern. Arch Dermatol. 1963 Jun;87:677–85. doi: 10.1001/archderm.1963.01590180005001. [DOI] [PubMed] [Google Scholar]
  • 39.Rowel NR, Goodfield MJD. The “connective tissue diseases”. In: champion RH, Burton JL, Burns DA, Breathnach SM, editors. Textbook of Dermatology. 6. Oxford: Blackwell Scientific Publication; 1998. pp. 2437–576. [Google Scholar]
  • 40.Font J, Cervera R, Navarro M, et al. Systemic lupus erythematosus in men: Clinical and immunological characteristics. Ann Rheum Dis. 1992 Sep;51(9):1050–2. doi: 10.1136/ard.51.9.1050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Moschella SL. Dermatologic overview of lupus erythematosus and its subsets. J Dermatol. 1989 Dec;16(6):417–28. doi: 10.1111/j.1346-8138.1989.tb01581.x. [DOI] [PubMed] [Google Scholar]
  • 42.Hough W. Discoid lupus erythematosus. A study of sex and age at onset. Acta Derm Venereol. 1966;46(2):240–1. [PubMed] [Google Scholar]
  • 43.Tebbe B, Orfanos CE. Lupus erythematosus of the skin. an analysis of 97 patients. Z Hautkr. 1987 Nov 15;62(22):1563–72. 1577–8, 1583–4. [PubMed] [Google Scholar]
  • 44.Wenzel J, Henze S, Brahler S, Bieber T, Tuting T. The expression of human leukocyte antigen-DR and CD25 on circulating T cells in cutaneous lupus erythematosus and correlation with disease activity. Exp Dermatol. 2005 Jun;14(6):454–9. doi: 10.1111/j.0906-6705.2005.00301.x. [DOI] [PubMed] [Google Scholar]
  • 45.Miot HA, Bartoli Miot LD, Haddad GR. Association between discoid lupus erythematosus and cigarette smoking. Dermatology. 2005;211(2):118–22. doi: 10.1159/000086440. [DOI] [PubMed] [Google Scholar]
  • 46.Jewell ML, McCauliffe DP. Patients with cutaneous lupus erythematosus who smoke are less responsive to antimalarial treatment. J Am Acad Dermatol. 2000 Jun;42(6):983–7. [PubMed] [Google Scholar]
  • 47.Rahman P, Gladman DD, Urowitz MB. Smoking interferes with efficacy of antimalarial therapy in cutaneous lupus. J Rheumatol. 1998 Sep;25(9):1716–9. [PubMed] [Google Scholar]

RESOURCES