Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Metabolic and inflammatory links to rotator cuff tear in hand osteoarthritis: A cross sectional study

  • Young Sun Suh ,

    Contributed equally to this work with: Young Sun Suh, Hyun-Ok Kim

    Roles Data curation, Formal analysis, Validation, Writing – original draft, Writing – review & editing

    Affiliation Division of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea

  • Hyun-Ok Kim ,

    Contributed equally to this work with: Young Sun Suh, Hyun-Ok Kim

    Roles Data curation, Validation, Writing – original draft, Writing – review & editing

    Affiliation Division of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea

  • Yun-Hong Cheon,

    Roles Data curation

    Affiliation Division of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea

  • Mingyo Kim,

    Roles Data curation

    Affiliation Division of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea

  • Rock-Bum Kim,

    Roles Formal analysis, Methodology

    Affiliation Department of Preventive Medicine, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, Republic of Korea

  • Ki-Soo Park,

    Roles Conceptualization, Formal analysis, Methodology

    Affiliation Department of Preventive Medicine, Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, Republic of Korea

  • Hyung Bin Park,

    Roles Conceptualization, Data curation, Methodology

    Affiliation Department of Orthopedic Surgery, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea

  • Jae-Beom Na,

    Roles Data curation, Visualization

    Affiliation Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea

  • Jin Il Moon,

    Roles Formal analysis, Validation

    Affiliation Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea

  • Sang-Il Lee

    Roles Conceptualization, Data curation, Supervision, Writing – review & editing

    goldgu@gnu.ac.kr

    Affiliation Division of Rheumatology, Department of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea

Abstract

Objectives

To estimate the prevalence and associated factors of rotator cuff tear (RCT) in patients with hand osteoarthritis (HOA).

Methods

Between June 2013 and December 2015, we recruited 1150 participants in rural area of South Korea. Of the 1150 participants, 307 participants with HOA were analyzed. Plain radiography of both hands, magnetic resonance imaging of both shoulders, and serum levels of high-sensitive C-reactive protein (hsCRP) and high-density lipoprotein (HDL) were obtained for all patients. HOA and RCT were diagnosed by clinical and radiologic findings.

Results

The prevalence of RCT in patients with HOA (192/307, 62.5%) was higher than that in those without HOA (410/827, 49.5%, p<0.001). Among the 307 patients with HOA, the patients with RCT were older, and had higher hsCRP and lower HDL levels than the patients without RCT. Multiple logistic regression analysis confirmed significant associations of age (odds ratio [OR], 1.06; 95% confidence interval [CI], 1.02–1.11), serum hsCRP levels ≥0.6mg/L (OR, 1.68; CI, 1.00–2.80), and low HDL levels (male, <50 mg/dL; female, <40 mg/dL) (OR, 1.93; CI, 1.05–3.56) with RCT in patients with HOA. For patients below 60 years old, the prevalence of RCT was 2.8-fold higher in the low HDL group than normal HDL group (p = 0.048). Finally, the prevalence of RCT was 2.6-fold higher in patients with HOA with both elevated hsCRP and low HDL levels compared with those with neither (p<0.05).

Conclusions

Our findings suggest inflammation and metabolic factors were associated with the prevalence of RCT in HOA patients.

Introduction

Osteoarthritis (OA) is the leading cause of musculoskeletal morbidity in the elderly, with the hands being the most frequent site of OA development [1,2]. Socioeconomic burden is also high, with direct cost of OA estimated between 1.0% and 2.5% of the gross domestic product in developed countries [3]. It is known that the prevalence of OA increases in the presence of mechanical factors such as hyper-mobility, altered joint mechanical loading, and joint injury, as well as age-related degenerative change [47]. However, inflammation and metabolic factors such as dyslipidaemia, have emerged as important causes in recent studies [810].

Rotator cuff tear (RCT) is one of the most common shoulder disorders [11]. Causes include degenerative factors such as aging, mechanical factors, and anatomic factors; similar to OA [12]. Recently, inflammation and metabolic factors were also considered as crucial causes of RCT [13]. Surgical treatment is eventually required for RCT when conventional treatment fails. An estimated 250,000 to >500,000 repairs are performed annually, and in the United States the mean costs for surgical treatments were $15,063 per episode [14]. Thus, early diagnosis and proper treatment of RCT are important in minimizing the burden of RCT.

Both diseases are frequently accompanied and shared etiology [15,16]. According to shared etiology, inflammation and dyslipidemia affect the prevalence of rotator cuff tear in hand osteoarthritis. However, no previous study investigated the relationship between RCT and HOA. Therefore, this study was conducted to estimate the prevalence of RCT and evaluate the factors associated with the prevalence of RCT in patients with HOA.

Methods

Research subjects

This cross-sectional study used the HOA subgroup data of the NAMGARAM cohort. The NAMGARAM cohort is made to determine the prevalence and risk factors of upper extremity musculoskeletal disorders in a rural province of South Korea. From June 2013 to August 2015, six villages randomly selected from villages in Gyeongnam Province. Participants consisted of those who were over 40 years old and who agreed to take part in the study among the residents living in Jinju, Sichuan, Changwon, Haman, Hamyang and Sancheong of South Korea. Residents who did not agree with the study were excluded. A total of 1150 people were enrolled in this study. For the study, the participants visited Gyeongsang National University Hospital and conducted a comprehensive examination. Of the 1150 participants, 307 participants with HOA were analyzed. All participants were required to provide written informed consent. The study was approved by the Institutional Review Board of the Gyeongsang National University Hospital (GNUH 2015-02-001). This study was supported by a grant of the Centre for Farmer’s Safety and Health, Ministry of Agriculture, Food and Rural Affairs, Republic of Korea.

Measurements

Study participants answered the questionnaires, and underwent physical examinations, blood tests, plain radiographies of both hands and shoulders, and magnetic resonance imaging (MRI) of both shoulders. The one-on-one survey was conducted by nurses who were informed about the objective of this study and who were trained in data collection procedures, and it took approximately 30 minutes to complete the questionnaire. The survey included information on socio-demographic variables (age, sex, level of education, smoking, marriage, underlying diseases, height, weight, body mass index [BMI], waist circumference, blood pressure, work hours per day, and total work period); the Patient Health Questionnaire-2 (PHQ-2) [17], a survey tool measuring the degree of depressive symptoms; and the Korean version of the Australian/Canadian (AUSCAN) Osteoarthritis Hand Index, which evaluates pain and functional limitations of HOA [18]. The total working load was defined as the multiplication of the mean working hours per day and the total working period.

Cholesterol tests (total cholesterol, high-density lipoprotein cholesterol [HDL-C], triglycerides [TG], and low-density lipoprotein cholesterol [LDL]), glycated haemoglobin (HbA1c), and high-sensitive C-reactive protein (hsCRP) were performed. Blood tests were performed on an empty stomach for 8 hours to ensure the precise measurement of fasting plasma glucose and HDL, which correspond to items of metabolic syndrome in the questionnaire. The biospecimens and data used for this study were provided by the Gyeongsang National University Hospital, a member of the Korea Biobank Network.

Anterior–posterior plain radiographs of both hands and shoulders were obtained from all participants. The interpretation of these radiographs was performed by a musculoskeletal radiology specialist (20 years of experience in radiographic evaluation) and a rheumatology specialist (10 years of experience in radiographic evaluation). Both readers were blinded to subject history. The second to fifth distal interphalangeal (DIP), proximal interphalangeal (PIP), first to fifth metacarpophalangeal (MCP), thumb interphalangeal (IP), and first carpometacarpal (CMC) joints for each hand were graded for radiographic HOA using the modified Kellgren–Lawrence (KL) scale to assess the existence and severity of osteophytes, joint space narrowing (JSN), sclerosis, and erosion. The modified KL scale was graded from 0 to 4, where 0 is no OA; 1 is questionable osteophytes (OPs) and/or JSN; 2 is definite small OPs and/or mild JSN; 3 is moderate OPs and/or moderate JSN, sclerosis, and possible presence of erosions; and 4 is large OPs and/or severe JSN, sclerosis, and possible presence of erosions [1921]. The diagnosis of HOA was based on the American College of Rheumatology 1990 guideline, and defined as pain or stiffness on most days of the prior month in addition to three of the following criteria: bony swelling of ≥2 of the 10 selected joints (bilateral 2nd and 3rd DIPs, 2nd and 3rd PIPs, and 1st CMC joint), bony swelling of ≥2 DIP joints, <3 swollen MCP joints, and deformity of ≥1 of the 10 selected joints [22]. Radiological HOA was defined as a case wherein the result of plain radiography was determined to be higher than KL grade 2 of at least one joint [19]. The total number of affected joints and the sum of KL grades of all the affected joints were evaluated while assessing the OA burden of radiological HOA; OA burden was speculated to increase in proportion with the evaluated value. Erosive HOA was defined radiographically by subchondral erosion, cortical destruction and subsequent reparative change, which may include bony ankyloses [23]. The Cohen's kappa correlation coefficient for agreement between the two readers was 0.824 for scoring total KL grades, suggesting excellent level of agreement.

3.0 tesla (T) MRI equipment (Ingenia; Philips Medical Systems, Eindhoven, Netherlands) was used to obtain MRI scans, which included axial, sagittal, and coronal T2-weighted images (repetition time [TR]/echo time [TE] = 2800/60); coronal T1-weighted images (TR/TE = 500/20); and coronal fat-saturated fast spin-echo images. The field of view was 16 cm, the data matrix size was 448 × 448, and the slice thickness was 3 mm without gaps. RCT was diagnosed by the involved shoulder pain and the results of the MRI images, included from partial to complete tear of at least one tendon based on the interpretations of two musculoskeletal radiology specialists (10 years and 20 years of experience in radiographic evaluation). Both readers were blinded to subject history. The Cohen's kappa correlation coefficient for agreement between the two readers was 0.839 for MRI, suggesting excellent level of agreement.

Statistical analysis

SPSS for Windows (version 20.0, SPSS Inc., Chicago, IL, USA) was used for statistical analysis. The HOA with RCT group and without RCT group were compared to evaluate associated factors of RCT prevalence in HOA patients. Differences between two groups were evaluated using student’s t test or Mann-Whitney test for continuous variables and chi-square test for categorical variables. Cohen's kappa correlation for agreement was used for evaluating agreements in the interpretation of MRI and scoring radiographic KL grades. To identify factors independently affecting the prevalence of RCT in people with HOA, logistic regression analysis was performed, including the variables with p-values <0.2 in initial univariate analysis and variables expected to be relevant in previous studies. P-values <0.05 were defined as statistically significant in all analyses.

Results

The prevalence of RCT in HOA

Of the 307 participants with HOA, 192 (62.5%) had RCT, whereas among the other 827 participants without HOA, 417 (49.5%) had RCT; thus indicating that the prevalence of RCT was higher in patients with HOA than in those without (p<0.001) (S1 Fig). After adjusting confounding factors, HOA tended to affect RCT prevalence (OR 1.16 C.I 0.79–1.71) and total sum of KL grades, which meant the severity of radiographic HOA was associated with RCT prevalence (OR 1.02 C.I 1.00–1.05) with statistical significance (S1 Table).

Baseline characteristics and factors associated with the prevalence of RCT in HOA

The basic characteristics of the groups with HOA with and without RCT were compared to identify any differences. HOA with RCT group were older (62.69±7.04 vs. 59.10±7.66, p<0.001) than HOA without RCT group. In HOA with RCT group, the total sum of KL grades (9.0 [3.0–18.0] vs. 6.0 [1.0–14.0], p = 0.027) were high, resulting in higher HOA burden compared with HOA without RCT group. In addition, patients with HOA with RCT showed higher serum hsCRP levels (1.51±3.78 vs. 0.67±0.70, p = 0.004), and a higher ratio in men and women with HDL levels <40 mg/dL and <50 mg/dL was also observed compared with those without RCT (27.6% vs. 15.7%, p = 0.018). No differences were found in the total working period (years) and total working load, which was defined as the multiplication of the mean working hours per day by the total working period (Table 1).

thumbnail
Table 1. Comparison of the participants with rotator cuff tear and those without rotator cuff tear in hand osteoarthritis (n = 307).

https://doi.org/10.1371/journal.pone.0228779.t001

Logistic regression analysis was performed to examine whether metabolic and inflammatory factors were significantly associated with the prevalence of RCT in the HOA group, with the models being adjusted for other factors that were significant in univariate analyses. Serum hsCRP determined the cut-off value (0.6 mg/L) through regression tree analysis, and HDL used known metabolic syndrome criteria (male<40mg/dL, female<50mg/dL). Age (odds ratio [OR], 1.06; confidence interval [CI], 1.02–1.11); serum hsCRP ≥0.6 mg/L (OR, 1.68; CI, 1. 004–2.80), an inflammatory factor; and serum HDL (male<40 mg/dL, female<50 mg/dL) (OR, 1.93; CI, 1.05–3.56), one of the metabolic factors, were significantly associated with the prevalence of RCT (Table 2).

thumbnail
Table 2. Risk factors of rotator cuff tear in hand osteoarthritis using multivariate logistic regression analysis.

https://doi.org/10.1371/journal.pone.0228779.t002

Influence of hsCRP and HDL on RCT prevalence in HOA based on age

Patients with HOA were divided into two groups (≥0.6 mg/L and <0.6 mg/L), and a stratified analysis on the risk of RCT prevalence based on age was performed. There was a trend that hsCRP values above 0.6 mg/L group showed a higher prevalence of RCT compared to the group with hsCRP values below 0.6 mg/L at age under 60 (OR 1.66 C.I 0.73–3.79) and 60s (OR 1.94 C.I 0.86–4.36), but there was no statistical significance (Table 3). When a stratified analysis by age was performed among patients stratified by normal and low HDL values (male<40 mg/dL, female<50 mg/dL), the prevalence of RCT in the low HDL group was 2.8-fold greater than that in the control group among people younger than 60 years (OR, 2.82; CI, 1.01–7.91) with a statistical significance (Table 4).

thumbnail
Table 3. Association between high-sensitive C-reactive protein and rotator cuff tear in relation to age.

https://doi.org/10.1371/journal.pone.0228779.t003

thumbnail
Table 4. Association between high-density lipoprotein cholesterol and rotator cuff tear in relation to age.

https://doi.org/10.1371/journal.pone.0228779.t004

Influence of the coexistence of inflammatory and metabolic factors on RCT prevalence in HOA

To investigate the influence of the coexistence of inflammatory and metabolic factors on RCT prevalence, OR values were calculated for 4 groups; participants with normal HDL and hsCRP values <0.6 mg/L (reference), normal HDL and hsCRP values ≥0.6 mg/L (group 1), low HDL and hsCRP values <0.6 mg/L (group 2), and low HDL and hsCRP values ≥0.6 mg/L (group 3). Compared with the reference group (68/137, 49.6%), participants with hsCRP values ≥0.6 mg/L showed a 1.9-fold higher ratio of RCT prevalence (69/99, 69.7%), those with low HDL showed a 2.3-fold increase (18/26, 69.2%), and those with hsCRP values ≥0.6 mg/L and low HDL showed a 2.6-fold increase (34/46, 73.9%). This indicated that HOA patients with high hsCRP values, which is an inflammatory factor, and with low HDL, which is a metabolic factor, more often also had RCT (Fig 1).

thumbnail
Fig 1. Association between the concurrent presence of inflammatory and metabolic factors and the development of rotator cuff tear in hand osteoarthritis.

Adjusted for sex, age, level of education, body mass index and total sum of Kellgren–Lawrence grades. Abbreviation: RCT, rotator cuff tear; hsCRP, high-sensitive C-reactive protein; HDL, high-density lipoprotein cholesterol; M, male; F, female; OR, odds ratio; CI, confidence interval * p<0.05.

https://doi.org/10.1371/journal.pone.0228779.g001

Discussion

In this study, we aimed to identify the association between RCT and HOA. RCT was prevalent in patients with HOA compared with that in those without HOA. Even after adjusting confounding factors, HOA and RCT may relate, and especially severe radiographic HOA is significantly related to RCT. In addition to age, serum hsCRP level, an inflammatory factor, and serum HDL-C level, a metabolic factor, were associated with the development of RCT in patients with HOA. In particular, the association of metabolic factors with RCT was stronger in participants younger than 60 years. In addition, increased RCT prevalence was associated with presence of both inflammatory and metabolic factors. We conclude that a strong link exists between inflammatory and metabolic factors with the prevalence of RCT in patients with HOA.

To our knowledge, this study is the first report to report the prevalence of RCT in patients with HOA. Previous studies reported that the prevalence of RCT in the general population ranges from 3% to 39% [24,25]. This variation in the prevalence of RCT was influenced by the different methods that were used to diagnose RCT, and which included physical examination, arthrography, ultrasonography, and MRI [2628]. However, the prevalence of RCT among patients with HOA has never been investigated. Our study showed a high prevalence of RCT in patients with HOA compared to those without HOA. The results in this study are more reliable because we used MRI to improve the accuracy of the diagnosis of RCT. Thus, patients with HOA are believed to need careful examination for possible RCT occurrence.

The relationship between these two diseases can be explained in three ways. First, both HOA and RCT are age-related degenerative diseases with the prevalence and severity of OA being associated with aging [29]. Similarly, RCT has a positive correlation with age and also comes from age-related histological and molecular changes [30,31]. Secondly, inflammatory reactions are involved in both diseases. Actually, the levels of pro-inflammatory cytokines, such as interleukin-1 and -6 and tumour necrosis factor-α are all generally increased in both diseases [3235]. Thirdly, metabolic factors, such as diabetes, obesity, and dyslipidaemia link to the development of both diseases [3638]. Our study also demonstrated that age and inflammatory and metabolic factors serve as important common factors involved in the occurrence both diseases. This result suggests the presence of a common mechanism between the two diseases.

Other studies have identified that inflammation is associated with OA. Bos et al. showed that high basal hsCRP levels may influence OA onset [39]. A prospective cohort study showed that CRP was associated with disease progression in patients with OA [40]. A recent meta-analysis demonstrated the relationship between serum CRP levels and OA [41]. Similarly, evidence of inflammation in the development of RCT has been reported, with high concentrations of inflammatory cytokines in the bursal tissue of RCT patients [42,43]. However, no study has demonstrated the important role of inflammation in the correlation between RCT and HOA. Our study showed that serum hsCRP is significantly associated with the prevalence of RCT in patients with HOA, and the prevalence of RCT increased 1.7-fold in patients with HOA with hsCRP≥0.6 mg/L. Thus, we suggest that low-grade systemic inflammation plays a crucial part in the occurrence of RCT in HOA and must be controlled properly.

Recent studies have shown that metabolic factors, such as diabetes, hypertension, high TG levels, and the total cholesterol to HDL ratio, were associated with the occurrence of OA [4447]. Several studies have also analysed the correlation between metabolic factors and RCT. A prospective study of patients with RCT showed higher levels of total cholesterol, TG, and LDL, and lower levels of HDL in patients compared to the control group [48]. Kim et al. showed that hyperlipidaemia may be a factor that adversely affects the treatment of RCT [49]. However, no study investigated the effect of metabolic factors on the occurrence RCT in patients with HOA. This study was the first study to demonstrate that lower HDL levels are the associated factor of RCT in patients with HOA; particularly in those younger than 60 years. In addition, we found that patients with HOA with lower HDL levels and higher hsCRP levels were more susceptible to RCT than patients with HOA with normal HDL levels and lower hsCRP levels. Therefore, our study revealed that metabolic and inflammatory factors were important to predict RCT in patients with HOA; these factors must be well controlled during HOA treatment.

However, this study is a cross-sectional study, and thus the causal relationship between inflammatory or metabolic factors and RCT could not be determined. Therefore, HOA patients with RCT may not be able to exercise well and may be accompanied by metabolic problems (such as obesity and dyslipidemia), and low grade inflammation as a result. A further longitudinal study is needed to clarify the causes of RCT in patients with HOA. Secondly, as the subject of this study was limited to those who agreed to study in some regions, there could be selection bias. Third, we found that RCT is prevalent in HOA patients compared to without HOA. However, the participants without HOA are not a matched population, so comparison with a calibrated control is needed. Lastly, our study was based on only clinical HOA patients. In addition to clinical HOA, further analysis of radiological HOA is needed.

In conclusion, the higher serum hsCRP level, a representative of inflammatory markers, and low HDL level, one of the metabolic factors, are more important associated factors for RCT in individuals with HOA; particularly for patients who have both factors. Therefore, patients with HOA with elevated CRP levels and/or low HDL levels need to be examined to determine whether RCT occurred together with HOA.

Supporting information

S1 Fig. Flowchart of participants for analysis.

Abbreviations: MRI, magnetic resonance imaging; N, number of patients; OA, osteoarthritis; RCT, rotator cuff tear

https://doi.org/10.1371/journal.pone.0228779.s001

(JPG)

S1 Table. Factors associated with the prevalence of rotator cuff tear in all participants: the association between rotator cuff tear and hand osteoarthritis.

https://doi.org/10.1371/journal.pone.0228779.s002

(DOCX)

References

  1. 1. Lawrence RC, Helmick CG, Arnett FC, Deyo RA, Felson DT, Giannini EH, et al. Estimates of the prevalence of arthritis and selected musculoskeletal disorders in the United States. Arthritis Rheum 1998 May; 41(5):778–799. pmid:9588729
  2. 2. Buckwalter JA, Martin J, Mankin HJ. Synovial joint degeneration and the syndrome of osteoarthritis. Instr Course Lect 2000;49:481–489. pmid:10829201
  3. 3. Hiligsmann M, Cooper C, Arden N, Boers M, Branco JC, Luisa Brandi M, et al. Health economics in the field of osteoarthritis: an expert’s consensus paper from the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis (ESCEO). Semin Arthritis Rheum 2013 Dec;43(3):303–313. pmid:23992801
  4. 4. Solovieva S, Vehmas T, Riihimäki H, Luoma K, Leino-Arjas P. Hand use and patterns of joint involvement in osteoarthritis. A comparison of female dentists and teachers. Rheumatology (Oxford). 2005;44(4):521–8.
  5. 5. Droz-Bartholet F., Verhoeven F., Prati C, et al. Prevention of hand osteoarthritis by hemiparesis. Arthritis Rheumatol. 68, 647 (2016). pmid:26606151
  6. 6. Busby J, Tobin J, Ettinger W, Wendling D. A longitudinal study of osteoarthritis of the hand: the effect of age. Ann Hum Biol 1991;18:417–24. pmid:1952799
  7. 7. Caspi D, Flusser G, Farber I, Ribak J, Leibovitz A, Habot B, et al. Clinical, radiologic, demographic, and occupational aspects of hand osteoarthritis in the elderly. Semin Arthritis Rheum 2001;30:321–31. pmid:11303305
  8. 8. Sandell LJ. Etiology of osteoarthritis: genetics and synovial joint development. Nat Rev Rheumatol 2012 Jan;8(2):77–89. pmid:22231237
  9. 9. Thijssen E, van Caam A, van der Kraan PM. Obesity and osteoarthritis, more than just wear and tear: pivotal roles for inflamed adipose tissue and dyslipidaemia in obesity-induced osteoarthritis. Rheumatology (Oxford) 2015;54(4):588–600.
  10. 10. Visser AW, de Mutsert R, le Cessie S, den Heijer M, Rosendaal FR, Kloppenburg M; NEO Study Group. The relative contribution of mechanical stress and systemic processes in different types of osteoarthritis: the NEO study. Ann Rheum Dis 2015;74(10):1842–7.
  11. 11. Chakravarty K, Webley M. Shoulder joint movement and its relationship to disability in the elderly. J Rheumatol 1993;20:1359–61. pmid:8230019
  12. 12. Tashjian RZ. Epidemiology, natural history, and indications for treatment of rotator cuff tears. Clin Sports Med 2012;31(4):589–604. pmid:23040548
  13. 13. Longo UG, Berton A, Papapietro N, Maffulli N, Denaro V. Epidemiology, genetics and biological factors of rotator cuff tears. Med Sport Sci 2012;57:1–9. pmid:21986040
  14. 14. Mather RC 3rd, Koenig L, Acevedo D, Dall TM, Gallo P, Romeo A, et al. The societal and economic value of rotator cuff repair. J Bone Joint Surg Am 2013 Nov;95(22):1993–2000. pmid:24257656
  15. 15. Busby J, Tobin J, Ettinger W, Roadarmel K, Plato CC. A longitudinal study of osteoarthritis of the hand: the effect of age. Ann Hum Biol 1991 Sep-Oct;18(5):417–424. pmid:1952799
  16. 16. Ogawa K, Yoshida A, Inokuchi W, Naniwa T. Acromial spur: relationship to aging and morphologic changes in the rotator cuff. J Shoulder Elbow Surg 2005 Nov-Dec;14(6): 591–598. pmid:16337525
  17. 17. Lowe B, Kroenke K, Grafe K. Detecting and monitoring depression with a two-item questionnaire (PHQ-2). J Psychosom Res 2005 Feb;58(2):163–171. pmid:15820844
  18. 18. Moon KW, Lee SS, Kim JH, Song R, Lee EY, Song YW, et al. Cross-cultural adaptation, validation, and responsiveness of the Korean version of the AUSCAN Osteoarthritis Index. Rheumatol Int 2012 Nov;32(11):3551–3557. pmid:22086470
  19. 19. Kellgren JH, Lawrence JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis 1957 Dec;16(4):494–502. pmid:13498604
  20. 20. Haugen IK, Englund M, Aliabadi P, Niu J, Clancy M, Kvien TK, et al. Prevalence, incidence and progression of hand osteoarthritis in the general population: the Framingham Osteoarthritis Study. Ann Rheum Dis 2011 Sep;70(9):1581–1586. pmid:21622766
  21. 21. Altman RD, Gold GE. Atlas of individual radiographic features in osteoarthritis, revised. Osteoarthritis Cartilage 2007;15 Suppl A:A1–56.
  22. 22. Altman R, Alarcon 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 Nov;33(11):1601–1610. pmid:2242058
  23. 23. Zhang W., Doherty M., Leeb B.F., Alekseeva L, Arden NK, Bijlsma JW, et al. EULAR evidence based recommendations for the diagnosis of hand osteoarthritis—report of a task force of the EULAR Standing Committee for International Clinical Studies Including Therapeutics (ESCISIT). Ann Rheum Dis 2009 Jan;68(1):8–17. pmid:18250111
  24. 24. Codman EA, Akerson IB. The pathology associated with rupture of the supraspinatus tendon. Ann Surg 1931 Jan;93(1):348–359. pmid:17866481
  25. 25. Neer CS 2nd. Impingement lesions. Clin Orthop Relat Res 1983 Mar;(173):70–77. pmid:6825348
  26. 26. Gill HS, El Rassi G, Bahk MS, Castillo RC, McFarland EG. Physical examination for partial tears of the biceps tendon. Am J Sports Med 2007 Aug;35(8):1334–1340. pmid:17369556
  27. 27. Jeong J, Shin DC, Kim TH, Kim K. Prevalence of asymptomatic rotator cuff tear and their related factors in the Korean population. J Shoulder Elbow Surg 2017 Jan;26(1): 30–35. pmid:27497789
  28. 28. Moosmayer S, Tariq R, Stiris MG, Smith HJ. MRI of symptomatic and asymptomatic full-thickness rotator cuff tears. A comparison of findings in 100 subjects. Acta Orthop 2010 Jan;81(3):361–366. pmid:20450423
  29. 29. Hart DJ, Spector TD. Definition and epidemiology of osteoarthritis of the hand: a review. Osteoarthritis Cartilage 2000;8 Suppl A:S2–7.
  30. 30. Tempelhof S, Rupp S, Seil R. Age-related prevalence of rotator cuff tears in asymptomatic shoulders. J Shoulder Elbow Surg 1999 Jul-Aug;8(4):296–99. pmid:10471998
  31. 31. Dean BJ, Franklin SL, Carr AJ. A systematic review of the histological and molecular changes in rotator cuff disease. Bone Joint Res 2012 Jul;1(7):158–66. pmid:23610686
  32. 32. Melchiorri C, Meliconi R, Frizziero L, Silvestri T, Pulsatelli L, Mazzetti I, et al. Enhanced and coordinated in vivo expression of inflammatory cytokines and nitric oxide synthase by chondrocytes from patients with osteoarthritis. Arthritis Rheum 1998 Dec;41(12):2165–2174. pmid:9870873
  33. 33. Wojdasiewicz P, Poniatowski LA, Szukiewicz D. The role of inflammatory and anti-inflammatory cytokines in the pathogenesis of osteoarthritis. Mediators Inflamm 2014;2014:561459. pmid:24876674
  34. 34. Blaine TA, Kim YS, Voloshin I, Chen D, Murakami K, Chang SS, et al. The molecular pathophysiology of subacromial bursitis in rotator cuff disease. J Shoulder Elbow Surg 2005 Jan-Feb; 14:84S–89S. pmid:15726092
  35. 35. Szomor ZL, Appleyard RC, Murrell GA. Overexpression of nitric oxide synthases in tendon overuse. J Orthop Res 2006 Jan;24(1):80–86. pmid:16419972
  36. 36. Dahaghin S, Bierma-Zeinstra SM, Koes BW, Hazes JM, Pols HA. Do metabolic factors add to the effect of overweight on hand osteoarthritis? The Rotterdam Study. Ann Rheum Dis 2007 Jul;66(7):916–20. pmid:17314121
  37. 37. Addimanda O, Mancarella L, Dolzani P, Ramonda R, Fioravanti A, Brusi V, et al. Clinical associations in patients with hand osteoarthritis. Scand J Rheumatol 2012 Aug;41(4):310–3. pmid:22455607
  38. 38. Neumann E, Junker S, Schett G, Frommer K, Müller-Ladner U. Adipokines in bone disease. Nat Rev Rheumatol 2016 May;12(5):296–302. pmid:27080691
  39. 39. Bos SD, Suchiman HED, Kloppenburg M, Houwing-Duistermaat JJ, le Graverand MP, Seymour AB, et al. Allelic variation at the C-reactive protein gene associates to both hand osteoarthritis severity and serum high sensitive C-reactive protein levels in the GARP study. Ann Rheum Dis 2008 Jun;67(6):877–879. pmid:18055473
  40. 40. Stannus OP, Jones G, Blizzard L, Cicuttini FM, Ding C. Associations between serum levels of inflammatory markers and change in knee pain over 5 years in older adults: a prospective cohort study. Ann Rheum Dis 2013 Apr;72(4):535–540. pmid:22580582
  41. 41. Jin X, Beguerie JR, Zhang W, Blizzard L, Otahal P, Jones G, et al. Circulating C reactive protein in osteoarthritis: a systematic review and meta-analysis. Ann Rheum Dis 2015 Apr;74(4):703–710. pmid:24363360
  42. 42. Voloshin I, Gelinas J, Maloney MD, O'Keefe RJ, Bigliani LU, Blaine TA. Proinflammatory cytokines and metalloproteases are expressed in the subacromial bursa in patients with rotator cuff disease. Arthroscopy 2005 Sep;21(9):1076.e1–1076.e9.
  43. 43. Gotoh M, Hamada K, Yamakawa H, Yanagisawa K, Nakamura M, Yamazaki H, et al. Interleukin-1-induced subacromial synovitis and shoulder pain in rotator cuff diseases. Rheumatology (Oxford) 2001 Sep;40(9):995–1001.
  44. 44. Davis MA, Neuhaus JM, Ettinger WH, Mueller WH. Body fat distribution and osteoarthritis. Am J Epidemiol 1990 Oct;132(4):701–7. pmid:2403110
  45. 45. Hart DJ, Doyle DV, Spector TD. Association between metabolic factors and knee osteoarthritis in women: the Chingford Study. J Rheumatol 1995 Jun;22(6):1118–1123. pmid:7674240
  46. 46. Sturmer 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 Sep;25(9):1827–1832. pmid:9733467
  47. 47. Tomi AL, Sellam J, Lacombe K, Fellahi S, Sebire M, Rey-Jouvin C, et al. Increased prevalence and severity of radiographic hand osteoarthritis in patients with HIV-1 infection associated with metabolic syndrome: data from the cross-sectional METAFIB-OA study. Ann Rheum Dis 2016 Dec;75(12):2101–2107. pmid:27034453
  48. 48. Abboud JA, Kim JS. The effect of hypercholesterolemia on rotator cuff disease. Clin Orthop Relat Res 2010 Jun;468(6):1493–1497. pmid:19885710
  49. 49. Kim JM, Kim MW, Do HJ. Influence of hyperlipidemia on the treatment of supraspinatus tendinopathy with or without tear. Ann Rehabil Med 2016 Jun;40(3):463–469. pmid:27446783