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Comorbidities in patients with osteoarthritis: frequency and impact on pain and physical function

Abstracts

INTRODUCTION: As the prevalence of osteoarthritis (OA) increases with age, the coexistence of other chronic diseases is common. OBJECTIVES: To evaluate the frequency of comorbidities in OA patients and to measure their impact on pain and physical function of those patients. METHODS: Cross-sectional study in OA patients of a public rheumatology clinic. Pain was measured by use of the Visual Analogue Scale (VAS) and physical function by use of the Lequesne's and SACRAH indices. A screening for depression was performed, as were the following measurements: anthropometric data; blood pressure; fasting glycemia; and lipid profile. RESULTS: The study assessed 91 patients (mean age 59.3 years; 91.4% female). The metabolic syndrome frequency was 54.9%. Hypertension occurred in 75.8% of the patients, dyslipidemia in 52.6%, and obesity in 57.1%. The screening for depression was positive in 61.3% of patients. When comparing the metabolic syndrome components individually, patients with hypertension had higher SACRAH scores, with statistically significant differences (P = 0.035). For the other variables, no differences among the Lequesne's, SACRAH and VAS scores were observed. CONCLUSION: This group of OA patients showed a high frequency of depression, metabolic syndrome and its components in isolation, which can impact the pain and physical function of those patients. Such results showed the need for investigating and treating those comorbidities in OA patients.

osteoarthritis; metabolic syndrome X; depression; chronic disease


INTRODUÇÃO: Uma vez que a prevalência da osteoartrite (OA) aumenta com o envelhecimento, é comum a coexistência de outras doenças crônicas. OBJETIVOS: Avaliar a frequência de comorbidades em pacientes com OA e mensurar o impacto destas na dor e a função física nesses pacientes. MÉTODOS: Estudo transversal em pacientes portadores de OA do ambulatório de reumatologia do IMIP. A dor foi mensurada pela Escala Visual Analógica (EVA) e a função física pelos índices de Lequesne e SACRAH. Foi realizado um screening para depressão, além de aferição de medidas antropométricas, pressão arterial, dosagem da glicemia de jejum e perfil lipídico. RESULTADOS: Foram estudados 91 pacientes, com média de idade de 59,3 anos, sendo 91,4% do sexo feminino. A frequência de síndrome metabólica foi de 54,9%. Hipertensão arterial sistêmica ocorreu em 75,8% dos casos, dislipidemia em 52,6% e obesidade em 57,1%. O screening para depressão foi positivo em 61,3% dos pacientes. Quando comparamos individualmente os componentes da síndrome metabólica, observamos que pacientes com hipertensão apresentavam maiores escores no SACRAH com diferença estatisticamente significante (P = 0,035). Para as outras variáveis, não foram demonstradas diferenças entre os escores Lequesne, SACRAH e EVA. CONCLUSÃO: Foi observada uma alta frequência de depressão, síndrome metabólica e de seus componentes isoladamente nesse grupo de pacientes com OA, podendo haver impacto da presença destes na dor e na função física desses pacientes. Tais resultados demonstraram a necessidade de investigação e tratamento dessas comorbidades em pacientes com OA.

osteoartrite; síndrome X metabólica; depressão; doença crônica


ORIGINAL ARTICLE

Comorbidities in patients with osteoarthritis: frequency and impact on pain and physical function

Alice Abath LeiteI; Aline Jurema Gesteira CostaI; Beatriz de Arruda Matheos de LimaI; Adriana Valentina Lopes PadilhaII; Emidio Cavalcanti de AlbuquerqueIII; Claudia Diniz Lopes MarquesIV

IScientific Initiation scholarship from IMIP/CNPq - Medical student of the Faculdade Pernambucana de Medicina - FPS

IIMSc candidate in Internal Medicine of the Universidade Federal de Pernambuco (UFPE); Cardiologist, Tutor at the Ambulatório de Ensino de Clínica Médica of the FPS

IIIStatistician; MSc in Public Health at the Centro de Pesquisas Aggeu Magalhães - Fiocruz

IVPhD at the Centro de Pesquisas Aggeu Magalhães - Fiocruz; MCs in Internal Medicine at the UFPE; Tutor at the FPS

Correspondence to Correspondence to: Claudia Diniz Lopes Marques Rua dos Coelhos, 300, Boa Vista Recife, PE, Brazil. Zip Code: 50070-550 E-mail: claudia_reumatologia@terra.com.br

ABSTRACT

INTRODUCTION: As the prevalence of osteoarthritis (OA) increases with age, the coexistence of other chronic diseases is common.

OBJECTIVES: To evaluate the frequency of comorbidities in OA patients and to measure their impact on pain and physical function of those patients.

METHODS: Cross-sectional study in OA patients of a public rheumatology clinic. Pain was measured by use of the Visual Analogue Scale (VAS) and physical function by use of the Lequesne's and SACRAH indices. A screening for depression was performed, as were the following measurements: anthropometric data; blood pressure; fasting glycemia; and lipid profile.

RESULTS: The study assessed 91 patients (mean age 59.3 years; 91.4% female). The metabolic syndrome frequency was 54.9%. Hypertension occurred in 75.8% of the patients, dyslipidemia in 52.6%, and obesity in 57.1%. The screening for depression was positive in 61.3% of patients. When comparing the metabolic syndrome components individually, patients with hypertension had higher SACRAH scores, with statistically significant differences (P = 0.035). For the other variables, no differences among the Lequesne's, SACRAH and VAS scores were observed.

CONCLUSION: This group of OA patients showed a high frequency of depression, metabolic syndrome and its components in isolation, which can impact the pain and physical function of those patients. Such results showed the need for investigating and treating those comorbidities in OA patients.

Keywords: osteoarthritis, metabolic syndrome X, depression, chronic disease.

INTRODUCTION

Osteoarthritis (OA) is considered the most common disorder of the musculoskeletal system and the greatest cause of disability in both developed and the so-called emerging countries.1 Since the the population is aging, the prevalence of OA has increased, and its consequences have a great socioeconomic impact. Approximately 40% of the adults over the age of 70 years have knee OA, and 80% of those with OA have any type of limitation of movement.1 Data obtained from the Framingham study place OA at the same level of both cardiovascular diseases and chronic obstructive pulmonary disease as the major cause of chronic physical disability.2

Because the prevalence of OA increases with aging, coexistence with other chronic diseases is common, further increasing the impact on the quality of life of those patients. The major comorbidities of OA patients are systemic arterial hypertension (SAH), cardiovascular disease, diabetes, and dyslipidemia.3,4 Metabolic syndrome, defined as the association of SAH, central obesity, glucose intolerance, and hypertriglyceridemia or low HDL levels (at least three of the five criteria) in the same individual,5 also occurs at a high frequency in OA patients.6 Despite the clear relation between OA development and the trauma resulting from excessive weight, the occurrence of OA in joints that do not bear load suggest that the chronic inflammation status existing in patients with metabolic syndrome can alter the metabolism of cartilage, regardless of excessive weight.7 In addition, glucose intolerance can also collaborate to maintain that persistent inflammation status in obese individuals with metabolic syndrome.8

As OA is the major cause of pain in elderly patients, a population with a very high prevalence of depression, the coexistence of both diseases is frequent. The impact of depression on OA is significant, since it influences the two major joint symptoms: pain and physical disability. Depressed individuals are more likely to report chronic or more severe pain, and more than half of the patients with chronic pain are depressed.9

The presence of diabetes, heart disease or even visual alterations are not only more frequent in OA patients, but also lead to a greater impairment of physical functions and quality of life, in addition to worsening the prognosis of arthroplasties.10,11

Although OA is the disease that most commonly causes physical disability, the real extension of the impact of its combination with other chronic diseases on physical function has not yet been assessed among us. A study in England has concluded that the presence of comorbidities increases the frequency of physical disability in OA patients, and the influence of the combination is higher than that expected for OA alone or for each disease in isolation. The treatment of such comorbidities in OA patients would, thus, be crucial to reduce the impact on physical disability, and, consequently, enhance the quality of life of those individuals.11

This study aimed at assessing the frequency of the association of chronic degenerative diseases in patients diagnosed with OA, as well as the impact of such associations on the physical function of those patients, measured by use of the Lequesne's algofunctional and SACRAH indices, both validated for the Portuguese language.12,13

METHODS

This was a cross-sectional study including patients with OA of the hands, knees, and hips, being followed up at the outpatient clinic of rheumatology of the Fundação Professor Martiniano Fernandes, Instituto de Medicina Integral Professor Fernando Figueira (IMIP), from August 2008 to May 2009.

Patients underwent their regular consultation in the outpatient clinic of rheumatology, and, those diagnosed with OA according to the criteria of the American College of Rheumatology14-16 were invited to participate in the study. Once accepted the invitation, the written informed consent was read and signed, and an interview followed.

The interview comprised the application of a questionnaire specifically developed for the study, with information about the disease duration, life habits (smoking), previous history of SAH, diabetes mellitus, obesity, dyslipidemia, and depression, in addition to site of OA and pain severity, by use of a 100-mm visual analogue scale (VAS). If the patient was being treated for SAH, diabetes mellitus, and dyslipidemia, those data were computed as positive in the final analysis, even if during the interview blood pressure was normal or the laboratory tests showed no alterations.

The following were also applied: the Lequesne's algofunctional index for knees and hip validated for the Portuguese language;12 SACRAH validated for the Portuguese language;13 and the Goldberg depression questionnaire.17 When patients had at least three depressive symptoms of the Goldberg scale, the ICD-1018 diagnostic criteria for major depression were applied. For analysis, the cutoff points of the Lequesne's index used were as follows: score from 8 to 10 means severe OA; from 11 to 13, very severe; and equal to or greater than 14, extremely severe. For patients with OA affecting more than one joint, the questionnaire was directed to the most painful or disabling joint. Then, physical examination was performed, and included the following measurements: blood pressure (BP) on two occasions at a 5-minute interval; abdominal circumference (AC); weight; and height. At the end of the consultation, the following complementary tests were carried out at the IMIP: fasting glycemia; and lipid profile, comprising LDL, HDL, triglycerides and total cholesterol.

Patients returned 21 days after the first interview, and BP was once again measured following the same technique of the first contact; if BP remained altered, the patients were then classified as hypertensive. After assessing the results of the laboratory tests, at the same consultation, patients were classified as either having or not having the following: diabetes mellitus,19 SAH,20 obesity,21 dyslipidemia,22 and metabolic syndrome.5 Classification was based on the specific criteria used in clinical practice, even in the absence of positive previous history for each condition.

Data were stored in the Excel 2000 software and analyzed by use of the SPSS statistical program, version 13.0, with 95% significance. For comparing quantitative variables, Student's t test or Mann-Whitney test were used in case of Comorbidities in patients with osteoarthritis: frequency and impact on pain and physical function normal distribution. For categorical variables, the chi-square and Fisher's exact tests were used to identify the statistically significant associations.

The study was approved by the Committee on Ethics and Research of the IMIP, and all participants provided written informed consent.

RESULTS

The study included 93 patients as follows: 67 with knee OA; 24 with hand OA; and two with hip OA. To make the sample more homogeneous, we chose to exclude the two patients with hip OA. Thus, the final sample comprised 91 patients [83 (91.2%) of the female sex; mean age, 59.3 years (38-85 years)]. Table 1 shows the demographic data, frequency of anterior diseases, most frequent OA sites, and frequencies of SAH, diabetes mellitus, dyslipidemia, obesity, metabolic syndrome, and depression identified in this study.

We observed a higher frequency of SAH, dyslipidemia, and depressive symptoms than that initially reported by the patients. For example, only 25% of the patients reported a previous history of depression, and, when applying the Goldberg questionnaire, 56% screened positive for depression (P = 0.003). Regarding SAH, 63% of the patients reported a previous history, but during physical examination, SAH was identified in 75.8% of the patients (P = 0.000). Of the 52.6% patients diagnosed with dyslipidemia, only 33.9% reported the disease previously (P = 0.065). The same was not observed with diabetes mellitus, because all patients identified as diabetic in the study reported previous history of that disease.

The frequency of metabolic syndrome was 54.9% in that group of patients and distributed as follows: 82% in knee OA and 18% in hand OA. No statistically significant difference was observed between groups (P = 0.078). Individually, 61.2% of the patients with knee OA had metabolic syndrome.

When comparing individually the components of metabolic syndrome (SAH, dyslipidemia, obesity, increased abdominal circumference, diabetes mellitus), patients with SAH showed higher SACRAH scores, with a statistically significant difference (P = 0.035). Regarding the other variables, no statistically significant difference was observed among the VAS, Lequesne's, and SACRAH scores.

Statistically significant differences were observed for the pain scale (VAS) and SACRAH questionnaire in patients who screened positive for depression as compared with patients who screened negative (P = 0.006 and 0.000, respectively). The same has not occurred with the Lequesne's index, although its mean was greater in the group with depressive symptoms.

Table 2 shows the means and standard deviations of the VAS, Lequesne's and SACRAH scores in OA patients with and without each of the comorbidities studied.

DISCUSSION

Our results showed a high frequency of comorbidities, such as metabolic syndrome, SAH, dyslipidemia, obesity, diabetes, and depression, in the OA patients cared for at the outpatient clinic of rheumatology of the IMIP. With the increase in the life expectancy of the population, the coexistence of chronic and degenerative diseases is becoming more and more frequent, increasing the impact on the health and quality of life of the population.

Possible explications for the relation between OA and those comorbidities include shared etiology and physiopathology or the result of the aging biological process, in which different events occur more frequently (cartilage degeneration, increased insulin resistance, weight gain, dyslipidemia), and, thus, can appear simultaneously, even if not interrelated.23 Perhaps, more important than identifying the cause leading to the simultaneity of those diseases is defining to what extent they can influence the health status of OA patients. Previous studies have shown that comorbidities, such as visual disorders, diabetes, and cardiovascular disease not only occur more frequently than expected in OA patients,23 but also result in greater physical function impairment10 and adverse results for patients undergoing arthroplasty.24

To the extent of our knowledge, in Brazil, there are no previous studies on the frequency of the comorbidities in OA patients. For the sake of comparison, we looked for studies assessing the presence of those comorbidities in individuals without OA and observed that the frequency in our sample was higher than that found in patients without the disease.25-7

The estimated prevalence of SAH in the Brazilian population is approximately 30%.25 Sighn et al.,4 in the United States, in a study interviewing 115.9 million people, reported a 21% frequency of OA patients, of whom 40% had SAH, whose frequency in the general North-American population is 25%. In our sample, the frequency of SAH was much higher, reaching 75.8%, for all hypertension classes. That discrepancy can be explained by the cultural differences of our population that resists adhering to treatment, in addition to the difficulties in having access to appropriate follow-up and medication, which is often not made available for free in the public health system. In addition, of the OA therapeutic options, undoubtedly non-steroidal anti-inflammatory drugs (NSAIDs) are the most commonly used. They are known to be able to cause elevations in blood pressure levels, mainly in patients treated with angiotensin-converting enzyme (ACE) inhibitors and beta-blockers.28

Clinical and epidemiological studies have shown the coexistence of obesity and hand and knee OA. Several clinical conditions associated with obesity and sedentary lifestyle, such as SAH and type II diabetes mellitus, are also frequently found in OA patients. The presence of OAis significantly increased in overweight individuals and can be associated with the trauma caused by the body mass excess on joints that bear load, such as the hips and knees.29 However, the increased OA frequency in joints that do not bear load has suggested that a component of the overweight syndrome can alter the metabolism of cartilage and subchondral bone, regardless of the load.7 Rojas-Rodriguez et al.8 have studied the role of the pathogenesis of obesity in inducing OA. The metabolic alterations in the striated muscle induced by the interaction of insulin resistance and systemic inflammation in obese individuals with metabolic syndrome would lead to OAas a final consequence. In England, Kadam et al.11 have concluded that the non-musculoskeletal Comorbidities in patients with osteoarthritis: frequency and impact on pain and physical function comorbidity most commonly associated with OA is obesity. In our sample, the minority of patients had adequate weight, and the association of OA and diabetes mellitus was also high.

In our study, the percentage of patients with dyslipidemia was 40.9%, also higher than those reported in studies performed in other countries, emphasizing the importance of assessing the components of the metabolic syndrome in patients with OA. Singh et al.4 have reported a 32% prevalence of dyslipidemia in OA patients when assessing only total cholesterol. Another study in Germany has concluded that high serum levels of cholesterol are independent systemic risk factors for OA.30

Individuals with persistent pain have a greater tendency to have disorders such as anxiety and depression (classified according to the CID-10 criteria) than individuals without pain.30 Kadam et al.11 have reported an association between depression and OA, confirmed in our study, showing a high frequency of patients reporting being diagnosed with depression, and an even greater number of patients meeting the criteria for depressive symptoms.

Regarding the impact of the coexistence of those diseases on OA patients, we observed that SAH and the depressive symptoms lead to greater pain perception in patients with hand OA. In addition, patients screening positive for depression had a more impaired hand function, with a statistically significant difference.

Despite the lack of statistically significant difference between the other variables studied regarding the functional tests (Lequesne's and SACRAH) and VAS, a tendency towards a worse score is observed in the group with each of the diseases, as shown in Table 2.

Kadam and Croft,11 in a study with OA patients over the age of 50 years in England, have shown that the presence of comorbidities increases the possibility of physical function impairment, and that the influence of their combination is higher than that expected for OA or comorbidities isolated.

CONCLUSION

The frequency of comorbidities in OA patients is very high, mainly SAH, diabetes mellitus, obesity, dyslipidemia, metabolic syndrome, and depression. The recognition of such associations by the internist and rheumatologist is extremely important. Those associations can jeopardize the result of the OA treatment due to the interaction of such comorbidities with the chronic pain symptomatology. In addition, OA therapy can cause complications and aggravation of those diseases. The routine follow-up of OA patients should include periodic measurements of BP, lipid profile, and fasting glycemia, in addition to instructions about weight control and identification of depressive symptoms, which can be easily obtained by applying the Goldberg scale. The adequate control of each of those situations and referral to a specialist can help with the OA treatment and improve the quality of life of our patients.

REFERENCES

1. Sharma L, Kapoor D, Issa S. Epidemiology of osteoarthritis: an update. Curr Opin Rheumatol 2006; 18:147-156.

2. Guccione AA, Felson DT, Anderson JJ, Anthony JM, Zhang Y, Wilson PW et al. The effects of specific medical conditions on the functional limitations of elders in the Framingham study. Am J Public Health 1994; 82:351-358.

3. Gabriel SE, Crowson CS, O'Fallon WM. Comorbidity in arthritis. J Rheumatol 1999; 26:2475-2479.

4. Singh G, Miller JD, Lee FH, Pettitt D, Russell MW. Prevalence of cardiovascular disease risk factors among US adults with self-reported osteoarthritis: data from the Third National Health and Nutrition Examination Survey. Am J Manag Care 2002; 8:S383-S391.

5. NCEP - Executive summary of the third report of the National Cholesterol Education Program. Expert Panel on Detection, Evaluation and Treatment of high blood cholesterol in adults (Adult treatment panel III). JAMA 2001; 285:2486-2497.

6. Katz JD, Agrawal S, Velasquez M. Getting to the heart of the matter: osteoarthritis takes its place as part of the metabolic syndrome. Curr Opin Rheumatol 2010; 22(5):512-9.

7. Bray GA, Bellanger T. Epidemiology, trends, and morbidities of obesity and the metabolic syndrome. Endocrine 2006; 29(1):109-17.

8. Rojas-Rodríguez J, Escobar-Linares LE, Garcia-Carrasco M, Escárcega RO, Fuentes-Alexandro S, Zamora-Ustaran A. The relationship between the metabolic syndrome and energy-utilization deficit in the pathogenesis of obesity-induced osteoarthritis. Med Hypotheses 2007; 69:860-8.

9. Memel DS, Kirwan JR, Sharp DJ, Hehir M. General practitioners miss disability and anxiety as well as depression in their patients with osteoarthritis. Br J Gen Pract 2000; 50:645-8.

10. Ettinger WH, Davis MA, Neuhaus JM, Mallon KP. Long-term physical functioning in persons with knee osteoarthritis from NHANES I. Effects of comorbid medical conditions. J Clin Epidemiol 1994; 47:809-15.

11. Kadam UT, Croft PR. Clinical Comorbidity in Osteoarthritis: Associations with Physical Function in Older Patients in Family Practice. J Rheumatol 2007;34:1899-904.

12. Marx FC, Oliveira LM, Bellini CG, Ribeiro MCC. Tradução e validação cultural do questionário algofuncional de Lequesne para osteoartrite de joelho e quadril para a língua portuguesa. Rev. Bras. Reumatol 2006; 46:253-60.

13. Ferreira VC, Marques CDL. Avaliação e quantificação de afecções reumáticas crônicas das mãos através do questionário SACRAH. Jornal da LIRNNE 2008; 4:171-177.

14. Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K et al. The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum 1991; 34:505-514.

15. Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K et al. The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hand. Arthritis Rheum 1990; 33:1601-1610.

16. Altman R, Asch E, Bloch D, Bole G, Borenstein D, Brandt K et al. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Arthritis Rheum 1986; 29:1039-1049.

17. Goldberg D, Bridges K, Duncan-Jones P, Grayson D. Detecting anxiety and depression in general medical settings. BMJ 1988; 297:897-9.

18. World Health Organization. Mental health and behavioral disorders (including disorders of psychological development). In: World Health Organization. International Classification of Diseases: ICD-10. Geneva: World Health Organization; 1992. p. 311-87.

19. Kahn R, Buse J, Ferrannini E, Stern M. American Diabetes Association; European Association for the Study of Diabetes. The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 2005; 28(9):2289-304.

20. Sociedade Brasileira de Cardiologia. Sociedade Brasileira de Hipertensão. V Diretrizes Brasileiras de Hipertensão Arterial. Rev Bras Hipertens 2006; 13(4):256-312.

21. NHLBI Obesity Education Initiative Expert Panel on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults. The practical guide: indentification, evaluation, and treatment of overweight and obesity. NIH Publication. National Instututes of Health: Washington, DC; 2000.

22. Segundo Consenso Brasileiro sobre Dislipidemias. Detecção, avaliação e tratamento. Arq Bras Cardiol 1996; 63(Suppl):1.

23. Kadam UT, Jordan K, Croft PR. Clinical comorbidity was specific to disease pathology, psychologic distress, and somatic symptom amplification. J Clin Epidemiol 2005; 58:909-17.

24. Imamura K, Black N. Does comorbidity affect the outcome of surgery? Total hip replacement in the UK and Japan. Int J Qual Health Care 1998; 10:113-23.

25. Freitas OC, Carvalho FR, Neves JM, Veludo PK, Parreira RS, Marafiotti RG et al. Prevalência da hipertensão arterial sistêmica na população urbana de Catanduva, SP. Arq Bras Cardiol 2001; 77:9-15.

26. Nakazone MA, Pinheiro A, Braile MCVB, Pinhel MAS, Sousa GF, Pinheiro Júnior S et al. Prevalência de síndrome metabólica em indivíduos brasileiros pelos critérios de NCEP-ATPIII e IDF. Rev Assoc Med Bras 2007; 53:407-413.

27. Barbieri MA, Bettiol H, Silva AAM, Cardoso VC, Simões VM, Gutierrez MR et al. Health in early adulthood: the contribution of the 1978/79 Ribeirao Preto birth cohort. Braz J Med Biol Res 39:1041-55, 2006.

28. Pope JE, Anderson JJ, Felson DT. A meta-analysis of the effects of nonsteroidal anti-inflammatory drugs on blood pressure. Arch Intern Med 1993; 153:477-8430. Stürmer T, Günther KP, Brenner H. Obesity, overweight and patterns of osteoarthritis: the Ulm Osteoarthritis Study. J Clin Epidemiol 2000 ;53:307-13.

29. Stürmer T, Günther KP, Brenner H. Obesity, overweight and patterns of osteoarthritis: the Ulm Osteoarthritis Study. J Clin Epidemiol 2000 ;53:307-13.

30. Stürmer T, Sun Y, Sauerland S, Zeissig I, Günther KP, Puhl W et al. Serum cholesterol and osteoarthritis: the baseline examination of the Ulm osteoarthritis study. J Rheumatol 1998; 25:1827-32.

Received on 02/23/2010.

Approved on 01/19/2011.

Financial support: Alice Abath received a Scientific Initiation scholarship from IMIP/CNPq.

The authors declare no conflict of interest.

Ethics Committee: FR189426.

Instituto de Medicina Integral Professor Fernando Figueira - IMIP, Recife, PE, Brazil.

  • 1
    Sharma L, Kapoor D, Issa S. Epidemiology of osteoarthritis: an update. Curr Opin Rheumatol 2006; 18:147-156.
  • 2
    Guccione AA, Felson DT, Anderson JJ, Anthony JM, Zhang Y, Wilson PW et al The effects of specific medical conditions on the functional limitations of elders in the Framingham study. Am J Public Health 1994; 82:351-358.
  • 3
    Gabriel SE, Crowson CS, O'Fallon WM. Comorbidity in arthritis. J Rheumatol 1999; 26:2475-2479.
  • 4
    Singh G, Miller JD, Lee FH, Pettitt D, Russell MW. Prevalence of cardiovascular disease risk factors among US adults with self-reported osteoarthritis: data from the Third National Health and Nutrition Examination Survey. Am J Manag Care 2002; 8:S383-S391.
  • 5
    NCEP - Executive summary of the third report of the National Cholesterol Education Program. Expert Panel on Detection, Evaluation and Treatment of high blood cholesterol in adults (Adult treatment panel III). JAMA 2001; 285:2486-2497.
  • 6
    Katz JD, Agrawal S, Velasquez M. Getting to the heart of the matter: osteoarthritis takes its place as part of the metabolic syndrome. Curr Opin Rheumatol 2010; 22(5):512-9.
  • 7
    Bray GA, Bellanger T. Epidemiology, trends, and morbidities of obesity and the metabolic syndrome. Endocrine 2006; 29(1):109-17.
  • 8
    Rojas-Rodríguez J, Escobar-Linares LE, Garcia-Carrasco M, Escárcega RO, Fuentes-Alexandro S, Zamora-Ustaran A. The relationship between the metabolic syndrome and energy-utilization deficit in the pathogenesis of obesity-induced osteoarthritis. Med Hypotheses 2007; 69:860-8.
  • 9
    Memel DS, Kirwan JR, Sharp DJ, Hehir M. General practitioners miss disability and anxiety as well as depression in their patients with osteoarthritis. Br J Gen Pract 2000; 50:645-8.
  • 10
    Ettinger WH, Davis MA, Neuhaus JM, Mallon KP. Long-term physical functioning in persons with knee osteoarthritis from NHANES I. Effects of comorbid medical conditions. J Clin Epidemiol 1994; 47:809-15.
  • 11
    Kadam UT, Croft PR. Clinical Comorbidity in Osteoarthritis: Associations with Physical Function in Older Patients in Family Practice. J Rheumatol 2007;34:1899-904.
  • 12
    Marx FC, Oliveira LM, Bellini CG, Ribeiro MCC. Tradução e validação cultural do questionário algofuncional de Lequesne para osteoartrite de joelho e quadril para a língua portuguesa. Rev. Bras. Reumatol 2006; 46:253-60.
  • 13
    Ferreira VC, Marques CDL. Avaliação e quantificação de afecções reumáticas crônicas das mãos através do questionário SACRAH. Jornal da LIRNNE 2008; 4:171-177.
  • 14
    Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K et al The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum 1991; 34:505-514.
  • 15
    Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K et al The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hand. Arthritis Rheum 1990; 33:1601-1610.
  • 16
    Altman R, Asch E, Bloch D, Bole G, Borenstein D, Brandt K et al. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Arthritis Rheum 1986; 29:1039-1049.
  • 17
    Goldberg D, Bridges K, Duncan-Jones P, Grayson D. Detecting anxiety and depression in general medical settings. BMJ 1988; 297:897-9.
  • 18
    World Health Organization. Mental health and behavioral disorders (including disorders of psychological development). In: World Health Organization. International Classification of Diseases: ICD-10. Geneva: World Health Organization; 1992. p. 311-87.
  • 19
    Kahn R, Buse J, Ferrannini E, Stern M. American Diabetes Association; European Association for the Study of Diabetes. The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 2005; 28(9):2289-304.
  • 20
    Sociedade Brasileira de Cardiologia. Sociedade Brasileira de Hipertensão. V Diretrizes Brasileiras de Hipertensão Arterial. Rev Bras Hipertens 2006; 13(4):256-312.
  • 21
    NHLBI Obesity Education Initiative Expert Panel on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults. The practical guide: indentification, evaluation, and treatment of overweight and obesity. NIH Publication. National Instututes of Health: Washington, DC; 2000.
  • 22
    Segundo Consenso Brasileiro sobre Dislipidemias. Detecção, avaliação e tratamento. Arq Bras Cardiol 1996; 63(Suppl):1.
  • 23
    Kadam UT, Jordan K, Croft PR. Clinical comorbidity was specific to disease pathology, psychologic distress, and somatic symptom amplification. J Clin Epidemiol 2005; 58:909-17.
  • 24
    Imamura K, Black N. Does comorbidity affect the outcome of surgery? Total hip replacement in the UK and Japan. Int J Qual Health Care 1998; 10:113-23.
  • 25
    Freitas OC, Carvalho FR, Neves JM, Veludo PK, Parreira RS, Marafiotti RG et al. Prevalência da hipertensão arterial sistêmica na população urbana de Catanduva, SP. Arq Bras Cardiol 2001; 77:9-15.
  • 26
    Nakazone MA, Pinheiro A, Braile MCVB, Pinhel MAS, Sousa GF, Pinheiro Júnior S et al. Prevalência de síndrome metabólica em indivíduos brasileiros pelos critérios de NCEP-ATPIII e IDF. Rev Assoc Med Bras 2007; 53:407-413.
  • 27
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  • Correspondence to:

    Claudia Diniz Lopes Marques
    Rua dos Coelhos, 300, Boa Vista
    Recife, PE, Brazil. Zip Code: 50070-550
    E-mail:
  • Publication Dates

    • Publication in this collection
      04 May 2011
    • Date of issue
      Apr 2011

    History

    • Received
      23 Feb 2010
    • Accepted
      19 Jan 2011
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