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Ординатура / Офтальмология / Английские материалы / Sjögren's Syndrome Diagnosis and Therapeutics_Ramos-Casals, Stone, Moutsopoulos_2012.pdf
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C. Vitali

Final validation studies of both the ESSDAI and ESSPRI in a large series of real patients are under way. When this ongoing phase of the project is finished, valid and reliable instruments to assess activity in SS will finally be available for clinical trials and practice.

References

1. Symmonds DPM. Disease assessment indices: activity, damage and severity. Baillieres Clin Rheumatol. 1995;9:267–85.

2. Fries JF, Hochberg MC, Medsger TA. Criteria for rheumatic diseases: different types and different functions. Arthritis Rheum. 1994;37:454–62.

3. Liang MH. Translating outcomes measurement in experimental therapeutics of systemic rheumatic disease to patient care. Rheum Dis Clin North Am. 2006;32:1–8.

4. Mitsias DI, Kapsogeorgou EK, Moutsopoulos HM. Sjögren’s syndrome: why autoimmune epithelitis? Oral Dis. 2006;12:523–32.

5. Garcia-Carrasco M, Ramos Casals M, Rasas J, et al. Primary Sjögren’s syndrome: clinical and immunologic disease patterns in a cohort of 400 patients. Medicine (Baltimore). 2002;81:270–80.

6. Ioannidis JP, Vassiliou VA, Moutsopoulos HM. Long term risk of mortality and lymphoproliferative diseases and predictive classification of primary Sjögren’s syndrome. Arthritis Rheum. 2002;46:741–7.

7. Ramos-Casals M, Brito-Zeron P. Emerging biological therapies in primary Sjögren’s syndrome. Rheumatology (Oxford). 2007;46:1389–96.

8. Looney RJ. Will targeting B cells be the answer for Sjögren’s syndrome. Arthritis Rheum. 2007;56:1371–7.

9. Seror R, Sordet C, Guillevin L, et al. Tolerance and efficacy of rituximab and changes in serum B cell biomarkers in patients with systemic complications of primary Sjögren’s syndrome. Ann Rheum Dis. 2007;66:351–7.

10. Szororay P, Jonnson R. The BAFF/APRIL system in systemic autoimmune diseases with special emphasis on Sjögren’s syndrome. Scand J Immunol. 2005;62:421–8.

11. Meijer JM, Meiners PM, Vissink A, et al. Effectiveness of rituximab treatment in primary Sjögren’s syndrome: a randomized, double-blind, placebo-controlled trial. Arthritis Rheum. 2010;62:960–8.

12. Pincus T, Sokka T. Complexities in the quantitative assessment of patients with rheumatic diseases in clinical trials and clinical care. Clin Exp Rheumatol. 2005;23 Suppl 39:S1–9.

13. Liang MH, Socher SA, Neal Roberts W, et al. Measurement of systemic lupus erythematosus activity in clinical research. Arthritis Rheum. 1988;31(7):817–25.

14.American College of Rheumatology Ad Hoc Committee on Systemic Lupus Erythematosus Response Criteria. The American College of Rheumatology response criteria for systemic lupus erythematosus clinical trials: measures of overall disease activity. Arthritis Rheum.

2004;50:3418–26.

15. Pincus T, Sokka T. Quantitative measures for assessing rheumatoid arthritis in clinical trials and clinical care. Best Pract Res Clin Rheumatol. 2003;17:753–81.

16. Strand V, Gladman D, Isenberg D, et al. Outcome measures to be used in clinical trials in systemic lupus erythematosus. J Rheumatol. 1999;26:490–7.

17. Valentini G, Della Rossa A, Bombardieri S, et al. European multicentre study to define disease activity criteria for systemic sclerosis. II. Identification of disease activity variables and development of preliminary activity indexes. Ann Rheum Dis. 2001;60:592–8.

18. Gladman D, Ginzler E, Goldsmith C, et al. The development and initial validation of the Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index for systemic lupus erythematosus. Arthritis Rheum. 1996;39:363–9.

30 Measurement of Chronicity and Activity in Sjögren’s Syndrome

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19. van der Heijde D. How to read radiographs according to the Sharp/van der Heijde method. J Rheumatol. 2000;27:261–3.

20. Vitali C, Palombi G, Baldini C, et al. Sjögren’s syndrome disease damage index and disease activity index. Scoring systems for the assessment of disease damage and disease activity in Sjögren’s syndrome, derived from an analysis of a cohort of Italian patients. Arthritis Rheum. 2007;56:2223–31.

21. Vitali C, Bencivelli W, Isenberg DA, et al. Disease activity in systemic lupus erythematosus: report of the Consensus Study Group of the European Workshop for Rheumatology Research. II Identification of the variables indicative of disease activity and their use in the development of an activity score. Clin Exp Rheumatol. 1992;10:541–7.

22. Bowman SJ, Sutcliffe N, Isenberg DA, et al. Sjögren’s Syndrome Clinical Activity Index (SCAI) – a systemic disease activity measure for use in clinical trials in primary Sjögren’s syndrome. Rheumatology (Oxford). 2007;46:1845–51.

23. Hay EM, Bacon PA, Gordon C, et al. The BILAG index: a reliable and valid instrument for measuring clinical disease activity in systemic lupus erythematosus. Q J Med. 1993;86: 447–58.

24. Sutcliffe N, Stoll T, Pyke S, et al. Functional disability and end organ damage in patients with systemic lupus erythematosus (SLE), SLE and Sjögren’s syndrome (SS), and primary SS. J Rheumatol. 1998;25:63–8.

25. Barry RJ, Sutcliffe N, Isenberg DA, et al. The Sjögren’s syndrome Damage Index (SSDI) – a damage index for use in clinical trials and observational studies in primary Sjögren’s syndrome. Rheumatology (Oxford). 2008;47:1193–8.

26. Seror R, Ravaud P, Bowman SJ, et al. EULAR Sjogren’s syndrome disease activity index: development of a consensus systemic disease activity index for primary Sjogren’s syndrome. Ann Rheum Dis. 2010;69:1103–9.

27. Seror R, Mariette X, Bowman S, et al. Accurate detection of changes in disease activity in primary Sjogren’s syndrome by the European League Against Rheumatism Sjogren’s Syndrome Disease Activity Index. Arthritis Care Res. 2010;62:551–8.

28. Bowman SJ, Booth DA, Platts RG. Measurement of fatigue and discomfort in primary Sjogren’s syndrome using a new questionnaire tool. Rheumatology (Oxford). 2004;43: 758–64.

29. Bowman SJ, Booth DA, Platts RG, et al. Validation of the Sicca Symptoms Inventory for clinical studies of Sjogren’s syndrome. J Rheumatol. 2003;30:1259–66.

30. Seror R, Ravaud P, Mariette X, et al. EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI). Development of a consensus patient index for primary Sjögren’s syndrome. Ann Rheum Dis. 2011;70(6):968–72.

Chapter 31

Measurement of Quality of Life in Primary

Sjögren’s Syndrome

Simon J. Bowman and Wan-Fai Ng

Contents

 

31.1

Introduction...................................................................................................................

441

31.2

Measurement of Generic HRQoL in PSS: The SF-36 Questionnaire ......................

443

31.3

Other Generic QoL/HRQoL Measures.......................................................................

444

31.4

“Disease-Specific” HRQoL Measures .........................................................................

445

31.5

Predictors of HRQoL (SF-36) in PSS..........................................................................

446

31.6

Predictors of QoL and HRQoL (WHOQoL) in PSS..................................................

447

31.7

Therapeutic Interventions............................................................................................

449

31.8

Conclusions and Summary...........................................................................................

450

References.................................................................................................................................

451

31.1Introduction

Primary Sjögren’s syndrome (PSS) is an immune-mediated rheumatic disease in which inflammation of secretory (exocrine) glands leads to dry eyes and dry mouth [1]. Dryness of other surfaces such as the skin, vagina, airways, and gastrointestinal tract also occurs. The secretory glands are infiltrated by collections (focal aggregations) of lymphocytes. In the salivary glands, these focal lymphocyte aggregations are typically clustered around the salivary ducts. Patients typically also complain of reduced well-being, fatigue, and arthralgia. Approximately three-quarters of patients have autoantibodies in their blood – anti-Ro and/or anti-La antibodies – and a majority also have elevated total immunoglobulin levels (hypergammaglobulinaemia). Aproportionof patientshaveother systemicorganinvolvementincludingneuropathies,

S.J. Bowman (*)

Rheumatology Department, University Hospital Birmingham (Selly Oak), Birmingham, UK

W.-Fai Ng

Musculoskeletal Research Group, Institute of Cellular Medicine, Newcastle University,

Newcastle Upon Tyne, UK

M. Ramos-Casals et al. (eds.), Sjögren’s Syndrome,

441

DOI 10.1007/978-0-85729-947-5_31, © Springer-Verlag London Limited 2012

 

442

S.J. Bowman and W.-Fai Ng

skin rashes (purpura, vasculitis), interstitial lung disease, renal tubular acidosis, and hematological abnormalities. Finally, patients with PSS are at substantially increased risk for the occurrence of lymphomas, particularly mucosa-associated lymphoid tissue (MALT) B-cell lymphomas. In this chapter, we assess the issue of health-related quality of life (QoL) in PSS.

“Quality of life” is a broad concept that attempts to describe the general wellbeing of individuals and societies [2]. QoL studies often focus particularly on economic well-being. As an example, in terms of QoL within countries, the Economist’s 2005 QoL Index (http://www.economist.com/media/pdf/QUALITY_OF_LIFE.pdf) scores a country’s QoL according to scores on nine domains: health (life expectancy at birth), family life (divorce rate), community life (e.g., church attendance, trade union membership), material well-being (gross domestic product), political stability and security, climate and geography (latitude), job security (unemployment rate), political freedom, and gender equality (ratio of average male:female earnings). The World Health Organization (WHO) defines QoL as “individuals’ perceptions of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns” (http:// www.who.int/mental_health/media/68.pdf). Domains include a person’s physical health, psychological state, level of independence, social relationships, personal beliefs and their relationship to salient features of their environment. The WHOQOL Group has developed questionnaires to measure generic QoL: the initial (WHOQOL-100) [3] and the shorter (26 item) WHOQOL-BREF [4]. The principal domains of the WHOQOL are of physical health, psychological well-being, social relationships, and environmental factors. The questionnaires also include questions pertaining to an individual’s global QoL – “how would you rate your quality of life?” – and also introduce the generic concept of “health-related quality of life (HRQoL)”; for example: “how satisfied are you with your health?”. The WHOQOL questionnaires were designed and piloted in centers around the world and in individuals with various states of health and illness. They are intended to measure QoL independently of cultural constraints.

The line between the concepts of “QoL” and “HRQoL” is often blurred. For example, HRQoL typically focuses on aspects of physical and psychological wellbeing and the consequences of ill-health on social relationships. The environment may have a major impact on individuals and populations quality of life but only indirectly on health status. In the context of evaluating a disease state such as PSS, the term HRQoL is more widely used in most papers but in some the terms HRQoL and QoL are used interchangeably. To some extent, a convention has developed whereby questionnaires such as the WHOQoL measure QoL and other questionnaires (discussed below) measure HRQoL.

QoL/HRQoL measures fall within the broader concept of “patient-reported outcome measures” (PROMs). These are patient-completed questionnaires that encompass symptom questionnaires as well as QoL measures. Some are generic and hence widely applicable, but others are specific to particular conditions or patient groups. They can be used in a number of situations, including clinical trials, economic evaluations, and routine clinical care. Their value is that they complement more

31 Measurement of Quality of Life in Primary Sjögren’s Syndrome

443

Table 31.1 Studies using the SF-36 in patients with PSS.

 

Number of

 

Study

patients

SF-36 domains impaired

 

 

 

Thomas et al. [6]

13

All except mental

 

 

health

Strömbeck et al. [7]

42

All

Tensing et al. [8]

90

All

Rostron et al. [9]

43

All

Bowman et al. [10]

137

All

Belenguer et al. [11]

110

All

Champey et al. [12]

109

All

Stewart et al. [13]

39

All

López-Jornet et al. [14]

33

All

Meijer et al. [15]

155

All except bodily pain

 

 

and mental health

Segal et al. [16]

277

All

Baturone et al. [17]

30

All

 

 

 

“traditional” measures of physician-focused disease assessment. To give an example from PSS: an improvement in salivary flow without a corresponding improvement in the patient’s perception of oral dryness may only be of limited clinical value.

31.2Measurement of Generic HRQoL in PSS: The SF-36 Questionnaire

The Medical Outcomes Study SF-36 questionnaire [5] was developed from work done by the RAND Corporation in the 1980s and 1990s. As its name suggests it comprises 36 questions forming eight domains: vitality, physical functioning, bodily pain, general health perceptions, physical role functioning, emotional role functioning, social role functioning and mental health. The raw scores are converted through a weighted algorithm into 0–100 scores for each domain where 100 = perfect health and 0 = poor HRQoL for that domain; i.e., the higher the score the better the level of HRQoL. Composite “physical health” and “mental health” scores can also be calculated and the scores can be used in health economics to generate estimates of quality adjusted life years. However, the SF-36 does not generate a single number for “total HRQoL”. Population data, against which patient group scores can be compared, are available from many countries. The SF-36 and its more recent derivative, the SF-36 V2, have been used in thousands of research studies across the globe, making it the most successful HRQoL measure in current use.

The SF-36 has been used in many studies of PSS [6–17] (Table 31.1). Although there are some differences between the studies, the simple summary is that patients with PSS generally have reduced HRQoL across a range of domains. The HRQoL scores of PSS patients are comparable to those of patients with other rheumatic diseases, e.g., rheumatoid arthritis and systemic lupus erythematosus, as well as to

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