Upper extremity joint tenderness as a practical indicator for assessing presenteeism in rheumatoid arthritis patients

Upper extremity joint tenderness as a practical indicator for assessing presenteeism in rheumatoid arthritis patients | medRxiv /* */ /* */ <!-- <!-- /*! * yepnope1.5.4 * (c) WTFPL, GPLv2 */ (function(a,b,c){function d(a){return"[object Function]"==o.call(a)}function e(a){return"string"==typeof a}function f(){}function g(a){return!a||"loaded"==a||"complete"==a||"uninitialized"==a}function h(){var a=p.shift();q=1,a?a.t?m(function(){("c"==a.t?B.injectCss:B.injectJs)(a.s,0,a.a,a.x,a.e,1)},0):(a(),h()):q=0}function i(a,c,d,e,f,i,j){function k(b){if(!o&&g(l.readyState)&&(u.r=o=1,!q&&h(),l.onload=l.onreadystatechange=null,b)){"img"!=a&&m(function(){t.removeChild(l)},50);for(var d in y[c])y[c].hasOwnProperty(d)&&y[c][d].onload()}}var j=j||B.errorTimeout,l=b.createElement(a),o=0,r=0,u={t:d,s:c,e:f,a:i,x:j};1===y[c]&&(r=1,y[c]=[]),"object"==a?l.data=c:(l.src=c,l.type=a),l.width=l.height="0",l.onerror=l.onload=l.onreadystatechange=function(){k.call(this,r)},p.splice(e,0,u),"img"!=a&&(r||2===y[c]?(t.insertBefore(l,s?null:n),m(k,j)):y[c].push(l))}function j(a,b,c,d,f){return q=0,b=b||"j",e(a)?i("c"==b?v:u,a,b,this.i++,c,d,f):(p.splice(this.i++,0,a),1==p.length&&h()),this}function k(){var a=B;return a.loader={load:j,i:0},a}var l=b.documentElement,m=a.setTimeout,n=b.getElementsByTagName("script")[0],o={}.toString,p=[],q=0,r="MozAppearance"in l.style,s=r&&!!b.createRange().compareNode,t=s?l:n.parentNode,l=a.opera&&"[object Opera]"==o.call(a.opera),l=!!b.attachEvent&&!l,u=r?"object":l?"script":"img",v=l?"script":u,w=Array.isArray||function(a){return"[object Array]"==o.call(a)},x=[],y={},z={timeout:function(a,b){return b.length&&(a.timeout=b[0]),a}},A,B;B=function(a){function b(a){var a=a.split("!"),b=x.length,c=a.pop(),d=a.length,c={url:c,origUrl:c,prefixes:a},e,f,g;for(f=0;f<d;f++)g=a[f].split("="),(e=z[g.shift()])&&(c=e(c,g));for(f=0;f<b;f++)c=x[f](c);return c}function g(a,e,f,g,h){var i=b(a),j=i.autoCallback;i.url.split(".").pop().split("?").shift(),i.bypass||(e&&(e=d(e)?e:e[a]||e[g]||e[a.split("/").pop().split("?")[0]]),i.instead?i.instead(a,e,f,g,h):(y[i.url]?i.noexec=!0:y[i.url]=1,f.load(i.url,i.forceCSS||!i.forceJS&&"css"==i.url.split(".").pop().split("?").shift()?"c":c,i.noexec,i.attrs,i.timeout),(d(e)||d(j))&&f.load(function(){k(),e&&e(i.origUrl,h,g),j&&j(i.origUrl,h,g),y[i.url]=2})))}function h(a,b){function c(a,c){if(a){if(e(a))c||(j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}),g(a,j,b,0,h);else if(Object(a)===a)for(n in m=function(){var b=0,c;for(c in a)a.hasOwnProperty(c)&&b++;return b}(),a)a.hasOwnProperty(n)&&(!c&&!--m&&(d(j)?j=function(){var a=[].slice.call(arguments);k.apply(this,a),l()}:j[n]=function(a){return function(){var b=[].slice.call(arguments);a&&a.apply(this,b),l()}}(k[n])),g(a[n],j,b,n,h))}else!c&&l()}var h=!!a.test,i=a.load||a.both,j=a.callback||f,k=j,l=a.complete||f,m,n;c(h?a.yep:a.nope,!!i),i&&c(i)}var i,j,l=this.yepnope.loader;if(e(a))g(a,0,l,0);else if(w(a))for(i=0;i (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0];var j=d.createElement(s);var dl=l!='dataLayer'?'&l='+l:'';j.src='//www.googletagmanager.com/gtm.js?id='+i+dl;j.type='text/javascript';j.async=true;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-P4HH5NV'); Skip to main content Home About Submit ALERTS / RSS Search for this keyword Advanced Search Upper extremity joint tenderness as a practical indicator for assessing presenteeism in rheumatoid arthritis patients View ORCID Profile Ryota Naito , Masashi Taniguchi , Hideo Onizawa , Tomoya Nakajima , Kayo McCracken , Masato Mori , Ryosuke Hiwa , Takuji Nakamura , Akira Onishi , Shuichi Matsuda , Akio Morinobu , Shinji Hirose , Yutaka Shinkawa , Hisanori Umehara , View ORCID Profile Masao Tanaka doi: https://doi.org/10.1101/2025.01.12.25320432 Ryota Naito 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan 2 Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Ryota Naito Masashi Taniguchi 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan 2 Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hideo Onizawa 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan 3 Immunology Medicine, Shiga General Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Tomoya Nakajima 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan 2 Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Kayo McCracken 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Masato Mori 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Ryosuke Hiwa 2 Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Takuji Nakamura 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Akira Onishi 4 Department of Advanced Medicine for Rheumatic Diseases, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Shuichi Matsuda 5 Department of Orthopaedic Surgery, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Akio Morinobu 2 Department of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Shinji Hirose 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Yutaka Shinkawa 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Hisanori Umehara 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site Masao Tanaka 1 Center for Rheumatic Diseases, Nagahama City Hospital , Shiga, Japan 4 Department of Advanced Medicine for Rheumatic Diseases, Graduate School of Medicine, Kyoto University , Kyoto, Japan Find this author on Google Scholar Find this author on PubMed Search for this author on this site ORCID record for Masao Tanaka For correspondence: masatana{at}kuhp.kyoto-u.ac.jp Abstract Full Text Info/History Metrics Data/Code Preview PDF Abstract Objective Rheumatoid arthritis (RA) causes chronic polyarthritis and joint dysfunction, reducing work productivity. This reduction is mainly due to presenteeism, characterized by impaired work performance despite being present at work. This study aims to investigate the impact of specific joint involvement, particularly in the upper extremities, on work disability in RA patients. Methods Annual surveys assessing work disability were conducted among RA outpatients enrolled in the Nagahama Riumachi Cohort at Nagahama City Hospital, using the Work Productivity and Activity Impairment Questionnaire (WPAI). A multivariate regression analysis was performed to examine the cross-sectional and longitudinal associations between presenteeism and the tender joint count (TJC) in the extremities across two WPAI surveys. Results The analysis included 201 patients, 52% of whom reported presenteeism. Cross-sectional analysis revealed a significant positive correlation between three or more TJCs of the upper extremity and presenteeism, with a regression coefficient (β) = 17.9 (95% confidence interval [CI]: 9.85–25.9). Among the joints evaluated, the sum of TJCs in the shoulder area (β = 9.55, CI: 5.39–13.7) and the fingers (β = 1.60, CI: 0.35–2.85) were significantly correlated with presenteeism. Additionally, change in presenteeism were significantly correlated with change in upper extremity TJCs (β = 1.41, CI: 0.05–2.77). Conclusions The upper extremity TJC is strongly associated with presenteeism in RA patients. The TJC of the upper extremities serves as a valuable indicator for clinicians, helping them effectively assess a patient’s underlying work disability. Introduction Rheumatoid arthritis (RA) is a disease of unknown cause in which joint pain and destruction due to inflammation can lead to physical dysfunction. The prevalence of RA in developed countries is as high as 0.5-1%, and RA imposes an economic burden on individuals and society, even with the availability of biologic disease-modifying anti-rheumatic drugs (DMARDs) [ 1 – 3 ]. The cost of illness due to RA includes not only the direct costs of medical treatment, but also a considerable proportion of indirect costs, most of which are thought to be accounted for by work disability [ 3 ]. The loss of productivity due to work disability in RA patients is not due to absence from work (absenteeism) but to impairment while at work (presenteeism), and this is also the case in Japan [ 4 , 5 ]. Previous studies have shown that disease activity indicators, including tender joint count (TJC), as well as the measure of functional disability such as the Health Assessment Questionnaire Disability Index (HAQ-DI), are associated with work disability in RA patients [ 2 , 6 ]. In particular, strong evidence supports the association between functional disability and work disability in RA patients, with HAQ-DI being a well-established predictor of work impairments [ 2 , 6 ]. RA patients are particularly prone to work disability with physical labor and heavy work [ 1 , 2 , 6 ]. While the modernization of industry has alleviated the physical burden of labor, upper extremity disabilities, especially of the fingers, may still affect work disability due to the essential role of the upper extremities in operating various tools and machinery. However, to date, no studies have focused on the impact of involvement of specific joints on work disability in patients with RA. The impact of joint involvement on the HAQ-DI score differs by joint site, with finger symptoms having a lesser effect compared to other joints [ 7 ]. Relying solely on the HAQ-DI score may underestimate the impact of joint involvement on work disability for certain joints. In this study, we hypothesized that upper extremity joint involvement has a significant impact on work disability in Japanese RA patients. To test this hypothesis, we analyzed the relationship between upper extremity joint involvement and work disability, adjusting for confounding factors, including HAQ-DI. We found that the upper extremity TJC could serve as a useful marker for predicting work disability in RA patients. Methods Patients Eligible patients were those participating in the Nagahama Riumachi Cohort at Nagahama City Hospital who met the American College of Rheumatology (ACR) 1987 or ACR 2010 classification criteria for RA [ 8 , 9 ] and visited the hospital between March 2017 and February 2020. To assess the work disability of these participants, we collected their responses to the Work Productivity and Activity Impairment (WPAI) questionnaire [ 10 , 11 ]. Patients who were not working during the observation period or who had no medical records in the seven days prior to completing the WPAI questionnaire were excluded from the analysis. Ethical considerations The study was approved by the Ethics Committee of Nagahama City Hospital (approval number: H28-38). Physicians conducted the study after obtaining verbal and written consent from patients. Data collection Information such as RA disease duration and comorbidities were obtained from a questionnaire completed at the time of enrollment in the Nagahama Riumachi Cohort. A standardized visit data set including the HAQ-DI, TJC and swollen joint count (SJC) of the 70 joints (68 joints in the American College of Rheumatology core set plus two thumb carpometacarpal joints) [ 12 ], and blood test results were recorded at each patient visit. The WPAI questionnaire was used to assess each patient’s work disability at the first visit of each year. The patient’s medical record was consulted for the use of oral steroids and disease-modifying antirheumatic drugs (DMARDs). The change in each variable from the initial to the subsequent WPAI survey was quantified using the delta symbol (Δ). For instance, ΔCRP represented the difference in values for C-reactive protein (CRP) between the first and second surveys. The last access to the cohort database to collect the above data was made on November 27, 2020, and the data were anonymized at that time and recorded in a spreadsheet for various subsequent statistical analyses. TJC evaluation of upper and lower extremities Of the 70 total body joints evaluated, 68, excluding the bilateral temporomandibular joints, were classified as joints of the upper and lower extremities. The joints of upper extremities included bilateral sternoclavicular, acromioclavicular, shoulder, elbow, wrist, first carpometacarpal, metacarpophalangeal (MCP), thumb interphalangeal (IP), proximal interphalangeal (PIP), and distal interphalangeal (DIP) joints, for a total of 40 joints. The joints of lower extremities consisted of 28 joints, including bilateral hip, knee, ankle, tarsal, metatarsophalangeal (MTP), and PIP joints. The TJC for the MCP, IP, PIP, and DIP joints of the hands, and for the MTP and PIP joints of the feet, was each summed to provide a total TJC for each hand and foot, respectively. Previous study has demonstrated that a higher TJC compared to SJC is associated with increased physical dysfunction and work disability [ 13 ]. Additionally, joint tenderness is known to correlate with pain during motion [ 14 ]. Based on these findings, we considered that joint tenderness is more likely to affect work productivity than joint swelling. Therefore, this study examined the relationship between TJC and work disability. In both descriptive and cross-sectional analyses, upper and lower extremity TJCs were categorized into three groups (0, 1-2, and >2), with cutoffs set at 0 and 2. This decision was based on the fact that the upper extremity TJC was 0 in more than half of the patients, and the median TJC was 2 in patients with an upper extremity TJC greater than 0. The cutoffs between groups for lower extremity TJC were set at the same as for upper extremity TJC. To validate the results obtained with this categorization, a model was also created with two categories (0 and > 0) of upper and lower extremity TJC, respectively. For the TJC change in the upper extremities (Δupper extremity TJC) between the two time points of the WPAI survey, we categorized the changes as follows: "Δupper extremity TJC > 0" as "increased", "Δupper extremity TJC = 0" as "no change", and "Δupper extremity TJC < 0" as "decreased". In addition to classifying joints as upper and lower extremity joints, we investigated the association between tender joint regions and work disability. Based on the assumption that joint function is a key contributor to work disability, we analyzed joints as functional units rather than as individual anatomical joints by summing the TJC values, treating these summed values as continuous variables. Specifically, we defined the total shoulder TJC as the sum of the TJCs for both sternoclavicular joints, acromioclavicular joints, and shoulder joints. The total finger TJC was defined as the sum of the TJCs for the MCP, IP, PIP, DIP, and first carpometacarpal joints in both hands. Finally, the total foot TJC was defined as the sum of the TJCs for the ankle, tarsal, MTP, and PIP joints in both feet. WPAI questionnaire WPAI questionnaire was used to assess work disability due to RA [ 10 , 11 ]. The WPAI consists of the following six questions (Q1–Q6) about work disability in the past 7 days: Q1 = currently employed; Q2 = hours missed due to RA; Q3 = hours missed due to other reasons; Q4 = hours actually worked; Q5 = degree to which RA affected productivity while working (using a 0 to 10-cm visual analog scale, VAS); and Q6 = degree to which RA affected productivity in regular unpaid activities (using a 0 to 10-cm VAS). The four main outcomes were quantified as percentages by multiplying the following scores by 100: 1) work time missed due to RA (absenteeism) = Q2/(Q2+Q4), 2) percent impairment while working due to RA (presenteeism) = Q5/10,3) percent overall work impairment due to RA (overall work impairment) = Q2/(Q2+Q4)+(1-Q2)/(Q2+Q4)×(Q5/10), 4) percent activity impairment due to RA (activity impairment) = Q6/10. Statistical analysis Baseline data were summarized using descriptive statistics. Means and standard deviations, or medians and interquartile ranges were calculated for continuous variables and proportions were calculated for categorical variables. The association between work disability and the upper extremity TJC, as well as TJC in each area of the extremities, was analyzed using univariate and multivariate linear regression models. Covariates for the model were selected from factors reported or estimated to be associated with the upper extremity TJCs and work disability including age, gender, disease duration, HAQ-DI, erythrocyte sedimentation rate (ESR), oral steroids [ 1 , 2 , 6 ], bDMARDs [ 5 , 15 , 16 ], and lower extremity TJCs. Since targeted synthetic DMARDs (tsDMARDs) are considered to suppress disease activity to the same extent as bDMARDs [ 17 ], tsDMARDs and bDMARDs were treated as a single variable, bDMARDs or tsDMARDs. In the linear regression analysis of the association between the area of tender joints and work disability, the temporomandibular joint was excluded as it is not an extremity joint, and the hip joint due to a 1% prevalence. Additionally, we examined the impact of changes in the total upper extremity TJC and TJC in each area of the extremities on change in presenteeism, using data from the WPAI survey at two time points and employing univariate and multivariate linear regression models. The same covariates were used as in the cross-sectional analysis except that reduction or discontinuation of oral steroids was defined as "reduction of oral steroids" and initiation of treatment with bDMARDs or tsDMARDs was defined as "introduction of bDMARDs or tsDMARDs". Due to less than 2% of patients showing change in TJC, the hip joint was excluded from the linear regression analyses. The temporomandibular joint was excluded from the all analysis of work disability as a non-extremity joint. In the multivariate analysis, we confirmed that the variance inflation factor for all independent variables was below 5, suggesting no evidence of significant multicollinearity. P values less than 0.05 were considered significant. Significance levels were assigned as follows: ns, not significant; * p <0.05; ** p < 0.01; *** p < 0.001. Statistical analyses were performed using JMP Pro 15 software (SAS Institute), except for the Jonckheere-Terpstra test performed using R language software version 4.3.2 (R Development Core Team, Vienna, Austria). Results Baseline characteristics and joint tenderness distribution There were 483 RA patients in the cohort who visited a hospital during the observation period, with WPAI data obtained from 471 of these patients. After excluding 258 non-working patients and 12 patients lacking medical records within seven days of completing the WPAI data, 201 RA patients remained eligible ( Fig 1 ). Table 1 presents the baseline characteristics of the 201 patients analyzed at their first response to WPAI questionnaire. The mean age was 55.0 years, with 19.4% of the patients were older than 65 years, and 65.7% were female. Anti-CCP antibodies tested positive in 80.2% of the patients, and the median disease duration was 4.0 years. The median HAQ-DI score was 0.1, and the median Disease Activity Score based on 28 joints and ESR (DAS28-ESR) was 2.8. Comorbidities included interstitial pneumonia in 9.0% and other connective tissue diseases in 6.5%. Conventional synthetic DMARDs were used in 83.6%, bDMARDs in 20.3%, and tsDMARDs in 1.5% ( Table 1 ). Table 2 shows the frequency of TJC across various anatomical joints. Tenderness was observed in 23.4% of the patients on either or both sides of the finger joints (IP, MCP, PIP, and DIP joints), 15.9% for the wrist joints, 10.4% for the shoulder joints, 4.0% for the elbow joints, 10.9% for the knee joints, 8.0% for the ankle joints, and 8.0% for the toe joints (MTP and PIP joints). Tenderness in the sternoclavicular, acromioclavicular, first carpometacarpal, hip, and tarsal joints was observed in 1.5% or less of patients ( Table 2 ). Download figure Open in new tab Fig 1. Diagram of participant flow. View this table: View inline View popup Download powerpoint Table 1. Patient characteristic View this table: View inline View popup Table 2. Prevalence of tender joints in the patients Presenteeism was observed in more than half of the patients At the time of the first WPAI questionnaire, absence from work (absenteeism) due to RA symptoms was observed in only 7.5% of patients, while decreased productivity at work (presenteeism) was observed in more than half of the patients (52.2%). Overall work impairment due to RA symptoms was present in 53.7% of patients. Impairment in activities of daily living other than work (activity impairment) was present in 60.7% of patients ( Fig 2 ). Download figure Open in new tab Fig 2. Distribution of WPAI outcomes at the first survey. The vertical axis shows the percentages of patient, with each WPAI outcome displayed separately and shaded in grayscale. TJCs in the upper extremity were associated with presenteeism We next examined the association between upper extremity TJC and work disability. As upper extremity TJC increased, WPAI outcomes scores tended to increase ( Fig 3 ). Download figure Open in new tab Fig 3. Relationship between upper extremity TJC and WPAI outcomes. Patients are categorized into three groups by upper extremity TJC: 0 (n=128), 1-2 (n=39), and > 2 (n=34). The median (bold line), 25th percentile, 75th percentile (box), and range (whiskers) are shown. The vertical axis represents the WPAI outcomes expressed as percentages. The significance of the differences in WPAI outcomes among the three groups was tested using the Jonckheere-Terpstra test. To further explore the relationship, we examined various demographic and clinical indicators as shown in Table 3 . Using a linear regression model, we analyzed the association of presenteeism with demographic characteristics and clinical indicators of RA. For two patients, erythrocyte sedimentation rate (ESR) test results could not be referenced in the medical record, and they were excluded from the analysis using ESR and DAS28-ESR. In univariate regression analysis, the HAQ-DI, a measure of functional impairment, and the DAS28-ESR, Clinical Disease Activity Index (CDAI), and Simplified Disease Activity Index (SDAI), composite disease activity measures for RA, were significantly associated with presenteeism. Furthermore, ESR and CRP, indicators of inflammatory response, as well as TJC and SJC of 70 joints, were significantly associated with presenteeism. Next, we analyzed the specific impact of affected joints in the upper and lower extremities on presenteeism. "Upper extremity TJC 1-2" and "upper extremity TJC >2" were significantly associated with presenteeism compared to "upper extremity TJC 0". Notably, "upper extremity TJC > 2" showed higher regression coefficients than "upper extremity TJC 1-2". Similarly, "lower extremity TJC 1-2" and "lower extremity TJC >2" were significantly associated with presenteeism in contrast to "lower extremity TJC 0". The results were similar to upper and lower extremity SJC, but upper and lower extremity SJC were significantly associated with presenteeism when the affected joint was greater than 2, respectively. Multivariate regression analysis revealed that the regression coefficient (β) and 95% confidence interval (CI) for upper extremity TJC on presenteeism were as follow: β = 4.45 (CI: -2.1–11.0) for "TJC 1-2" and β = 17.9 (CI: 9.85–25.9) for "TJC>2," showing the latter was statistically significant. This result suggests that the level of work disability rises in tandem with the increasing number of affected joints. On the other hand, lower extremity TJC was not significantly associated with presenteeism. Other significant explanatory factors were HAQ-DI and age ( Table 3 ). When the upper and lower extremity TJCs were analyzed as binary variables, considering the presence or absence of tender joints, comparable results were observed, specifically showing that upper extremity TJC had an association with presenteeism, whereas lower extremity TJC did not (S1 Table). These results suggest that RA-related joint damage, particularly in the upper extremity, affects work disability. View this table: View inline View popup Download powerpoint Table 3. The association of demographic and clinical indicators with the percentage of presenteeism. TJCs of the shoulder and finger were correlated with presenteeism We next examined the joints significantly contributing to work disability. Table 4 shows the association between presenteeism and TJC of each area of the extremities, using linear regression models. In univariate regression analysis, the TJC of the total shoulder, wrist, total finger, knee, and total foot joints were significantly associated with presenteeism. In multivariate regression analysis, the total shoulder TJC was significantly associated with presenteeism (β = 9.55, CI: 5.39–13.7), as was the total finger TJC (β = 1.60, CI: 0.35– 2.85) ( Table 4 ). These results suggest that involvement of the shoulder and finger joints in RA patients contributes to presenteeism. View this table: View inline View popup Download powerpoint Table 4. The association of joint tenderness distribution with the presenteeism percentage. Temporal change in upper extremity TJCs was associated with temporal change in presenteeism We examined the association between change in upper extremity TJC over time and change in presenteeism. Within the observation period, WPAI data were collected twice for the same patient in 158 cases. Of these, 137 were continuing to work and 21 were retired. The retired group was significantly older than the working group (64.0 ± 9.8 vs. 53.5 ± 11.6 years, mean ± standard deviation) ( Fig 4A ). In patients who continued to work, presenteeism decreased between the first and second WPAI surveys ( Fig 4B ). Of the 137 working patients, we analyzed 134, excluding three due to missing medical records within 7 days of the WPAI survey. Presenteeism due to RA tended to improve as upper extremity TJC improved ( Fig 4C ). Download figure Open in new tab Fig 4. Characteristics of patients who continued working during the two WPAI surveys. A: Age comparison between retired (n=21) and working (n=137) patients who completed two WPAI surveys (n=158). B: Presenteeism (%) at the first and second WPAI surveys for the 137 patients who continued working. C: Relationship between changes in upper extremity TJC and presenteeism, with patients grouped by upper extremity TJC changes: decreased (n=37), unchanged (n=73), and increased (n=27). Median (bold line), 25th/75th percentiles (box), and range (whiskers) are shown. The vertical axis shows age at the first WPAI survey in A, presenteeism (%) in B, and the change in presenteeism (%) in C. Differences were determined by the Student’s t-test in A, the Wilcoxon signed-rank test in B, and the Jonckheere-Terpstra test in C. To further quantify these observations, we used a linear regression model to examine the relationship between changes in clinical indicators of RA and presenteeism, with results shown in Tables 5 and 6 . In the univariate regression analysis, we found that changes in total upper extremity TJC, as well as total shoulder joint TJC, wrist joint TJC, HAQ-DI, DAS28-ESR, CDAI, SDAI, ESR, 70-joint SJC, and upper extremity SJC were significantly associated with change in presenteeism ( Tables 5 and 6 ). Multivariate regression analysis identified changes in upper extremity TJC (β = 1.41, CI: 0.05–2.77) and HAQ-DI (β = 45.3, CI: 32.4–58.2) as significant independent variables that correlated with change in presenteeism ( Table 5 ). Another multivariate regression analysis using changes in TJC for each area of the extremities as separate independent variables yielded β = 5.19 (CI: -0.77–11.1, p = 0.087) for total shoulder TJC, and β = 1.23 (CI: -0.40–2.85, p = 0.138) for total finger TJC, suggesting a trend toward correlation with the change in presenteeism ( Table 6 ). These results suggest that change in upper extremity TJC are associated with change in work disability. View this table: View inline View popup Download powerpoint Table 5. The relationship between the changes in the clinical indicators and the change in the percentage of presenteeism. View this table: View inline View popup Download powerpoint Table 6. The relationship between changes in TJCs and changes in percentage of presenteeism across assessed joints. Discussion More than half of RA patients reported presenteeism, while absenteeism was infrequently observed. This result is consistent with a previous report from Japan [ 5 ], suggesting that presenteeism, rather than absenteeism, predominantly contributes to work disability in Japan [ 3 , 4 ]. Work disability in RA patients correlated with both composite and non-composite measures of disease activity and HAQ-DI, aligning with previous reports [ 2 , 6 , 18 ], suggesting that inflammation and dysfunction of joints cause work disability. Although previous reports have identified TJC as a factor associated with work disability in RA patients [ 2 , 6 ], the specific distribution of affected joints contributing to presenteeism has not been extensively studied. Our data showed that total upper extremity TJC, total shoulder joint TJC, and total finger joint TJC are significant independent predictors for presenteeism in RA patients, even after adjusting for confounders. Joint tenderness is known to be associated with pain during movement [ 14 ], and pain has been shown to be an important predictor of work disability in RA patients [ 6 , 19 , 20 ]. These findings suggest that TJC reflects movement-related pain, which may contribute to work disability. Less manual dexterity is associated with work disability in RA patients [ 21 ]. Work disability is prevalent in other conditions, such as systemic sclerosis (SSc), characterized by skin hardening, contractures, and peripheral vascular complications. SSc patients with digital ulcers have higher hand dysfunction and an increased risk of work disability [ 22 – 24 ]. Hand dermatitis has also been reported to cause functional impairment of hand and work disability [ 25 ]. These findings are consistent with our analysis, providing objective evidence that finger disorders contribute to work disability. In our data, total finger joint TJC emerged as a significant predictor of work disability even after adjusting for the HAQ-DI, an established predictors of work disability in RA [ 2 , 6 , 18 ]. Symptoms related to the finger joints have a lesser impact on HAQ-DI [ 7 ], suggesting that this measure may not fully capture critical impairments in hand function related to work. Notably, finger joint TJC may reveal aspects of work disability inadequately captured by HAQ-DI. On the other hand, the specific contribution of shoulder involvement in RA to work disability has not yet been adequately investigated. Shoulder lesions, regardless of the underlying disease, have been estimated to reduce working life by 1.8 to 8.1 years compared to the general population in Finland [ 26 ], suggesting that shoulder lesions significantly impact work disability. In RA, shoulder joint involvement exerts the greatest influence on the HAQ-DI among all the 68 joints included in the ACR core set, contributing 28.3% to the total score [ 27 ], highlighting its significant impact on physical function. Our findings are the first to demonstrate that the association between shoulder lesions and work disability in RA remains significant even after adjusting for the HAQ-DI. This suggests that, similar to the observations regarding finger joint involvement, HAQ-DI alone does not provide a comprehensive assessment of work disability associated with shoulder joint lesions in RA. Therefore, work disability in patients with RA should be evaluated not only through the HAQ-DI but also considering upper extremity TJC, particularly the TJC of the shoulder and finger joints, as important indicators. Furthermore, change in upper extremity TJC was a significant independent variable for change in presenteeism, even after adjusting for confounders. While the correlation between changes in total shoulder TJC and presenteeism, as well as changes in total finger joint TJC and presenteeism, did not reach statistical significance, there may be a trend toward a positive correlation. These findings suggest that upper extremity TJC could serve as a valuable indicator of change in work disability. This study has several limitations. First, the data were not adjusted for socioeconomic factors (such as educational level, job type and income), psychological condition [ 2 , 6 ], or the patient’s subjective pain level [ 19 , 20 ], all of which have been reported to affect work disability and were inadequately considered. Further studies incorporating these factors are needed. Second, the analysis included a substantial number of patients who had been undergoing treatment for RA for an extended period, and was restricted to those currently employed. Long-term RA patients may not experience significant improvement in disease activity with treatment, and some patients may have transitioned to careers that are more accommodating to their disability or have completely retired from workforce [ 28 ]. Therefore, our results may underestimate treatment-related improvements in work disability and the overall impact of RA on work disability. Third, retirees identified between the two WPAI surveys were excluded from the analysis of changes in presenteeism over time. The average age of these retired patients was 64 years, likely associated with the typical Japanese retirement age. However, work disability related to age or disease activity may have contributed to their retirement. Fourth, this study was conducted at a single center in Japan. Further investigation is necessary to generalize these findings to a broader RA patient population. Conclusions This study is the first to evaluate the relationship between the distribution of affected joints and work disability in RA patients. The findings underscore the importance of the upper extremity TJC as a key predictor of RA-related work disability, emphasizing its practical use as a marker for clinicians in busy clinical settings. Minimizing TJC in the upper extremities, particularly in the shoulders and fingers, could be an important treatment goal to reduce work disability in RA patients. Data Availability If this paper is accepted, all relevant data will be included in the manuscript and its Supporting Information file. Supporting information S1 Table. The association of upper and lower extremity TJC as binary variables with the percentage of presenteeism. Acknowledgments We would like to thank all the patients who participated in the present study. We would also like to acknowledge Y. Yoshinaga, H. Hosokawa, M. Fukuda and W. Yamamoto for their secretarial assistance. 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