Abstract
Background Chikungunya fever (CF) is marked by acute, subacute, and chronic phases, with a significant proportion of patients experiencing persistent joint and neuropathic pain. These symptoms may mimic those of rheumatic diseases such as rheumatoid arthritis (RA) and spondyloarthritis (SpA). There is currently no consensus on whether the infection directly causes chronic joint disease or serves as an immunological trigger for the development of rheumatic conditions.
Aim This study aims to evaluate the overall proportion of CF patients who progress to chronic arthropathy, and to identify how many of these patients meet the classification criteria for RA and SpA (including ankylosing spondylitis (AS) and psoriatic arthritis (PsA)).
Methods A thorough search was conducted in electronic databases, including PubMed, Embase, LILACS, and the Cochrane Library. The primary endpoint was the occurrence of chronic arthropathy, defined as joint signs and symptoms lasting more than six weeks following the acute phase of CF. The secondary endpoint involved the proportion of patients meeting the classification criteria for RA, SpA, AS, and PsA. A random-effects meta-analysis model was utilized to combine studies and determine the pooled frequency of persistent joint symptoms. Subgroup analyses were performed based on the fulfillment of classification criteria for rheumatic diseases. The risk of bias was assessed using the Joanna Briggs Institute critical appraisal tools. The study protocol was registered with PROSPERO (CRD42020211430).
Results A total of thirty-eight studies, comprising data from 12.524 individuals with CF published between 2008 and 2022, met the inclusion criteria. Of these, 4.324 (34.5%) patients developed chronic arthropathy; among them, 11.43% (240 in 2099) patients met the criteria for RA, 12.1% (86 in 711) patients for SpA, 3.42% (36 in 1052) patients for AS, and 2.05% (25 in 1220) patients for PsA.
Conclusion This study found that approximately one-third of CF patients experience persistent joint pain lasting over six weeks. However, only a minority of these individuals meet classification criteria for rheumatic diseases.
Keywords
Arbovirus; Chikungunya; Meta-analysis; Rheumatic diseases; Systematic review
Background
Chikungunya virus (CHIKV) is a single-stranded RNA virus from the Togaviridae family and Alphavirus genus, transmitted primarily by Aedes aegypti and Aedes albopictus mosquitoes [ 1 , 2 ]. Chikungunya fever (CF) poses a significant public health challenge in tropical and subtropical regions, where it causes debilitating joint and neuropathic pain [ 3 ]. The term "chikungunya" originates from the Makonde dialect, meaning "to bend forward," reflecting the arthralgia and discomfort experienced by patients [ 4 ].
The global spread of CHIKV, from initial epidemics in Tanzania during the 1950s to recent outbreaks in the Americas, since 2014, highlights its impact [ 5 ]. A decade after the virus began circulating in the Americas, 3.7 million cases of CF have been reported across fifty countries and territories in the region, with Brazil accounting for 45% of these cases [ 6 ].
Progression to the chronic phase, which is characterized by symptoms persisting beyond six weeks, stems from both direct viral damage and inflammatory responses. These persistent symptoms resemble those of rheumatological diseases such as rheumatoid arthritis (RA), spondyloarthritis (SpA), and psoriatic arthritis (PsA) [ 7 ].
Pathophysiological changes post-CHIKV infection include synovial hyperplasia and macrophage infiltration, similar to those in autoimmune joint disorders [ 8 ]. Animal models further reveal bone tissue proliferation and necrosis [ 9 ]. Risk factors for chronicity include female gender, age over 45, and severe acute phase joint involvement [ 10 , 11 ].
Chronic joint sequelae from CF not only mirror rheumatic diseases but also exacerbate morbidity and economic burdens, without specific vaccines or antivirals currently available [ 12 ]. This review evaluates the extent of chronic arthropathy in CF patients and assesses the overlap with established rheumatic disease criteria through observational studies.
Methods
This systematic review and meta-analysis were adapted on recommendations from the Cochrane Guidelines for Systematic Reviews of Interventions taking into account the methodological guidelines set out by Borges Migliavaca et al., 2020 [ 13 ] and was written according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) ( Supplementary material 1 ) [ 14 - 16 ].
The review protocol was registered at the PROSPERO (CRD42020211430).
There was no need for approval from an ethics committee as this was a systematic review and meta-analysis study.
All authors contributed to this study. VAS, DMM, NSG, MPGUSS, and AMK designed the study, wrote, and revised the main manuscript. NSG conducted the technical aspects related to the systematic review and meta-analysis. VAS, DMM and AMK conducted the study selection and data extraction. NSG and DMM were responsible for the risk of bias and quality assessment.
Search strategy
We searched four independent databases to conduct a comprehensive and specific bibliographic search for each database until October 2024: PubMed, Embase, Cochrane Central, and the Latin American and Caribbean Health Sciences Information (LILACS). Additionally, we manually searched for observational studies using the references of the selected studies as a sample. There was no language, date, document type, publication status, or geographic restriction for the inclusion of records. Descriptors were identified in Medical Subject Headings (MeSH), Descritores em Ciências da Saúde (Decs) and Embase Subject Headings (Emtree). The search strategy was adapted based on descriptors in each database and is presented in the Supplementary material 2 .
Outcomes
Primary endpoint included the occurrence of chronic arthropathy in patients with CF defined as articular signs and symptoms lasting more than six weeks after the acute infection, according to the Recommendations of the Brazilian Society of Rheumatology for diagnosis and treatment of CF [ 17 ]. The secondary outcome was the proportion of patients with chronic CF meeting classification criteria for RA, SpA, AS, or PsA, as following: ACR 1987 [ 18 ] and ACR/EULAR 2010 for RA [ 19 ], ASAS 2009, ACR and ESSG criteria for SpA [ 20 ], Modified New York criteria for AS [ 21 ] and CASPAR and ACR for PsA [ 22 ].
Eligibility criteria
We included observational studies (cross-sectional, cohort, and case-control) that evaluated patients with confirmed CF (by clinical or laboratory testing) that presented chronic arthropathy and assessed any primary (more than six weeks of articular symptoms) and secondary outcomes (fulfillment of classification criteria for RA, AS, SpA or PsA). Randomized clinical trials, case series, case reports, systematic reviews with or without meta-analysis, narrative, and integrative reviews were excluded.
Study selection and data extraction
Electronic search results from defined databases were uploaded to the Rayyan Qatar Computing Research Institute [ 23 ]. Study selection and data extraction were independently performed by two investigators. A third reviewer resolved any disagreements. For duplicate registrations, only the most recent one was included. Authors initially screened titles and abstracts. Subsequently, they assessed each study to determine whether it met inclusion criteria.
We extracted data on first author of the study, year of publication, study population (n, sex, age group, average, median value age), scenario in which the data were evaluated (outpatient/ hospital), study design, sample selection (sample calculation and sampling), number of events (chronic arthropathy, RA, SpA, AS, or PsA), classification criteria, outcomes and main results.
Risk of bias and quality assessment
Two investigators (NSG and DMM) independently assessed the risk of bias in the selected studies according to the Joanna Briggs Institute (JBI's) critical appraisal tools [ 24 ]. Three scores of yes, no, and unclear or Not/Applicable, referring to high risk, low risk, and unknown risk, respectively, were performed ( Supplementary material 3 ). The reviewers resolved discrepancies by discussion.
Sensitivity analysis
To assess the robustness of the pooled prevalence estimates, a sensitivity analysis was conducted. This involved the exclusion of studies with non-standard (laboratorial) diagnostic criteria, those classified as having higher risk of bias, and studies that reported 100% event rates, which could disproportionately influence the meta-analytic estimates. The sensitivity analysis aimed to evaluate the stability of the results under different analytical assumptions.
Statistical analysis
A random effects model was used to calculate pooled frequency estimates of the number of patients with CF who presented with chronic arthropathy and those diagnosed with RA, SpA, AS or PsA. Pooled frequency estimates were expressed as mean estimates and 95% confidence intervals (CIs). Forest plots were used to visually assess the combined estimates and their corresponding 95% confidence intervals. We used an I2 statistic estimate of ≥ 50% as an indicator of large statistical heterogeneity.
We conducted the meta-analysis estimates that had been transformed using the raw proportions (PRAW) method with random effect. Subgroup analyses were performed by classification criteria. In all analyses, p-value < 0.05 was defined as statistically significant. Analyses were performed using the R language (4.3.2).
Results
Search results
After the search, 640 references were identified. No study was found in LILACS. After excluding duplicate studies, 632 articles were included for screening of titles and abstracts. Of these, 580 were excluded because they did not meet the inclusion criteria ( Supplementary material 4 ). Thus, 52 studies were included in the textual analysis. Six articles did not include participants with chronic arthropathy, 5 did not meet the study design criteria and in 3 the patient population was not suitable. According to the inclusion criteria, 38 studies were finally included in the qualitative and quantitative synthesis. Data that remained unrecoverable (when authors did not respond to contact) were not included in the meta-analysis. Figure 1 shows the results of the search and selection of studies.
Flowchart of information through the different phases of the systematic review. The flowchart was adapted from the Preferred Reporting Items for Systematic Review and Meta-Analyses flowchart model. *Reason 1 - Wrong Research Design, i.e. the patient population or study design was inadequate; Reason 2 – Wrong Patient, i.e., did not include participants with chronic arthropathy; Reason 3 – Wrong Setting, i.e. did not meet the study design criteria
Among the studies that reported gender distribution, the participants were predominantly female (68%). The papers selected for this systematic review were published between 2008 and 2022, and no studies were retrieved after that. In terms of geographical location, 12 studies were carried out in India, 6 in Colombia, 5 in the French Antilles, 4 in Brazil, 2 in France, 2 in the Philippines, 1 in Bangladesh, 1 in Jamaica, 1 in Pakistan, 1 in Puerto Rico, 1 in Singapore, 1 in Thailand, and 1 in Venezuela. As for the design of the studies included, 4 were case-control studies, 11 cross-sectional studies, and 23 cohort studies, comprising 38 studies. Of the 23 cohorts, 17 were prospective and 6 retrospective. Regarding the followup time of the cohorts, the lower limit was 7 weeks and the upper limit was 288 weeks, and the median followup time was 24 weeks. Most of the studies did not report ethnicity, in 1 Colombian study the majority were Afro-Colombian, in another the mestizos stood out and in 2 Brazilian studies black race predominated. Table 1 illustrates the results of the qualitative synthesis.
Meta-analysis
The diagnosis of CF in patients with chronic arthropathy was clinical-laboratorial in 59.0% (95%CI 42.0–76.0) of patients, laboratorial in 56.0% (95%CI 43.0–70.0) and clinical in 63.0% (95%CI 40.0–87.0). In total, 12,524 individuals with CF were included and, of these, 58.0% (95%CI 48.0–68.0) developed chronic arthropathy ( Fig. 2 ).
Proportion of patients with Chikungunya fever with chronic arthropathy and met clinical and/or laboratorial criteria, divided into subgroups
The meta-analysis values are shown in Supplementary material 5 .
Sensitivity analysis
For this analysis, we excluded the studies of Rodriguez-Morales et al., 2016; Bossy et al., 2020, and Ganu et al., (2009). We found that the pooled prevalence estimates remained consistent under these analytical assumptions, suggesting that our findings are robust despite the high heterogeneity ( Supplementary material 6 ).
The frequency of patients with CF who developed chronic arthropathy and met classification criteria for RA was 14.0% (95%CI 6.0–22.0). Of these, 23.75% ( n = 57) obtained the criteria through ACR/1987 and 76.25% ( n = 183) by ACR/EULAR ( Fig. 3 ).
Frequency of patients with Chikungunya fever and chronic arthropathy who fulfilled classification criteria to rheumatoid arthritis
The frequency of patients with CF who developed chronic arthropathy and met criteria for SpA was 13.0% (95%CI 4.0–23.0). Of these, 51.2% ( n = 44) were classified by ESSG criteria, 47.7% ( n = 41) by ASAS criteria, and 1.16% ( n = 1) by ACR ( Fig. 4 ).
Frequency of patients with Chikungunya fever and chronic arthropathy who fulfilled classification criteria to spondyloarthritis
The frequency of patients with CF who developed chronic arthropathy and met criteria for AS was 5.0% (95%CI 0.0–12.0). Of these, 97.2% ( n = 35) were classified by NY criteria and 2.8% ( n = 1) for ACR ( Fig. 5 ).
Frequency of patients with Chikungunya fever and chronic arthropathy who fulfilled classification criteria to ankylosing spondylitis
The frequency of patients with CF who developed chronic arthropathy and met criteria for PsA was and 6.0% (95%CI 0.0–17.0), 72% ( n = 18) classified by CASPAR criteria and 28% ( n = 7) by ACR ( Fig. 6 ).
Frequency of patients with Chikungunya fever with chronic arthropathy and fulfilled classification criteria to psoriatic arthritis
Discussion
This review synthesized evidence from observational studies on CF patients progressing to chronic arthropathy, evaluating classification criteria for RA, SpA, AS, or PsA. Our findings indicate a 58.0% frequency of chronic arthropathy in CF patients. Studies like Rodriguez-Morales et al. [ 25 ] report a 40.0% prevalence, while Edington et al. suggest 52.0% chronic joint symptoms post-infection, underscoring the need for targeted interventions [ 26 ].
The analysis by Paixão et al. of 38 articles revealed that 43.0% of patients with CF experienced arthralgia symptoms for more than three months [ 10 ]. This highlights the relevance of the condition in a significant subgroup of infected individuals. Complementing these findings, the systematic review of 37 studies conducted by Aalst et al., found that the persistence of arthralgia after CF ranged from 5.0 to 60.8%, depending on the follow-up period, with higher percentages observed in studies with closer monitoring over 13 months [ 27 ]. These variations in the frequency of chronic arthropathy between our results and those observed in the literature may be attributed to various factors, including selection bias among the studies, differences in host immune responses, viral mutations, and the genetic make up of the affected population [ 28 ]. This context emphasizes the need for further investigation to understand the determinants of symptom persistence across different patient cohorts.
In our study, among the patients who developed chronic arthropathy, the following percentages met the classification criteria: 14.0% for RA, 13.0% for SpA, 6.0% for PsA and 5.0% for AS. Nevertheless, chronic arthropathy following CF shares several characteristics with joint manifestations observed in immune-mediated rheumatic diseases. For instance, in RA, there is a notable prevalence among middle-aged women, alongside specific patterns of joint involvement and radiographic and laboratory findings that resemble those seen in chronic arthropathy post-CF. Additionally, the expression of pro-inflammatory cytokines and the response to various disease-modifying antirheumatic drugs (DMARDs) are comparable [ 29 ].
Several cohorts have reported patients with chronic arthropathy after CF that exhibit symptoms similar to those of RA or SpA [ 30 - 34 ]. A cross-sectional study conducted in Brazil identified that four out of 120 patients were diagnosed with RA following CHIKV infection [ 33 ]. Furthermore, Manimunda et al. found in a prospective cohort that 34 out of 94 patients met the criteria for RA [ 34 ].
It is noteworthy that almost a quarter of patients with a classification for RA met the 1987 ACR criteria, since the presence of bone erosion is one of the conditions required, and indicates a more established disease, with the possibility of irreversible joint damage. Unfortunately, we do not have data on the presence or frequency of radiographic changes in these studies.
Despite the clinical similarities, the radiographic involvement in CF arthropathy is still controversial. As mentioned, studies indicate that up to 40.0–60.0% of patients with CF may progress to the chronic form, but not all exhibit significant radiographic changes. Damage tends to be more evident in patients with risk factors such as advanced age, the presence of pre-existing joint comorbidities, or greater severity during the acute phase of the disease [ 8 ]. These data support the need for more studies to evaluate the radiographic progression of chronic CF arthropathy.
The mechanisms underlying the progression to the chronic phase of chikungunya infection are an area of ongoing investigation. It is recognized that the acute immune response to the infection plays a crucial role in the development of chronic arthropathy and the subsequent evolution into rheumatic diseases [ 35 ]. Studies have demonstrated that individuals experiencing chronic arthralgias exhibit aberrant immune responses, characterized by elevated levels of interleukin (IL)-6 compared to those who have recovered from the initial infection [ 29 ]. This suggests a persistent imbalance in the ratio of receptor activator of nuclear factor kappa-B ligand (RANKL) to osteoprotegerin (OPG), which may lead to ongoing bone erosions [ 36 ].
Additionally, the non-structural proteins (nsPs) produced by the CHIKV during host cell infection can neutralize various intrinsic antiviral responses. This results in limitations on the activation of antiviral genes, such as interferon beta (IFN-B), due to suppression of genomic transcription and interference with the JAK-STAT signaling pathway [ 37 ]. It is also noteworthy that in cases of chronic CF, approximately 95.0% of the reported pain mechanisms are non-inflammatory [ 38 ], which adds another layer to the complexity of the condition.
Unlike previous reviews, our study uniquely integrates data across continents, allowing for a comprehensive understanding of CF's impact on rheumatic disease development. This broad approach offers insights into global epidemiological patterns and potential region-specific interventions.
We also selected studies explicitly addressing chronic arthropathy and rheumatic classification criteria, excluding those lacking robust diagnostic methodologies. This focus ensures clearer connections between CF and rheumatic conditions, contributing to a more targeted understanding that was absent in earlier reviews.
Our study presents limitations. We observed a high heterogeneity (> 90%) in the studies included in our analysis, which reflects the natural variation in prevalence across different contexts. Previous meta-analyses have also reported high heterogeneity (> 75%)in this field [ 25 , 39 ]. We believe that excluding studies based solely on their prevalence estimates would potentially introduce selection bias and reduce the comprehensive nature of our review, which aims to capture the full spectrum of prevalence across different contexts. We conducted a sensitivity analysis excluding studies that did not classify CF according to laboratory criteria, those with a higher risk of bias, and studies that reported 100% event rates. Despite these exclusions, the pooled prevalence estimates remained consistent under these analytical assumptions, suggesting that our findings are robust despite the high heterogeneity. Variations in prevalence estimates across studies are generally expected due to genuine differences in populations, settings, and methodologies, rather than representing outliers or dispersed effects that would warrant exclusion [ 40 , 41 ]. Future comprehensive cohort studies, accounting for regional disparities and detailed classification criteria, are essential to strengthen the evidence base and guide effective intervention strategies.
The risk of bias assessment for the cohort studies showed wide variability in methodological quality, with positive highlights for Bertolotti et al. (2020) and Hossain et al. (2022), who presented a low risk of bias across most domains, while the research conducted in India and Latin America demonstrated a higher proportion of domains with uncertain or high risk. Studies with higher risk of bias included those by Bouquillard et al. (2018, France), Chopra et al. (2008, India), Paul et al. (2011, India), and Fuentes-Silva et al. (2017, Venezuela), with moderate to high risk of bias. Rahim et al. (2010, India) also showed a high risk of bias. When evaluating the case-control studies, we noted that Medina-Cíntron et al. (2021, Puerto Rico) stood out for presenting a low risk of bias in all assessed domains, whereas Patel et al. (2019) and Chow et al. (2010) displayed higher methodological risk, reinforcing the heterogeneity in study quality. The cross-sectional studies presented various categories of risk of bias. Medina-Cíntron et al. (2021, Puerto Rico) and Watson et al. (2021, Brazil) showed low risk of bias, while Alam et al. (2018, Pakistan), Salgado et al. (2018, Brazil), and Bossy et al. (2020, French Caribbean) exhibited significant methodological limitations. This variability underscores the need for caution in interpreting findings and comparing studies from different geographical and methodological contexts ( Supplementary material 3 ).
Another limitation is that some studies did not mention fulfillment of classification criteria, although some calculated composite disease activity indices. We recognize that classification criteria are tools for use in clinical trials, with the purpose of homogenizing patients. Nevertheless, it is significant to observe that some patients meet classification criteria, and this will be relevant in the discussion to evaluate the need for developing specific classification criteria for CHIKV arthropathy, and in the design of clinical trials that will evaluate disease-modifying medications for this group of patients.
Conclusion
This review showed that a significant number of patients with CF experience persistent arthropathy. These symptoms may mimic those of rheumatological conditions such as RA and SpA. This review represents a pivotal step in understanding CF impact and its intersections with rheumatic disease progression. By highlighting these associations, we lay the groundwork for future research and clinical practices aimed at improving patient outcomes in affected regions.
Supplementary Information
The online version contains supplementary material available at https://doi.org/10.1186/s42358-025-00471-6 .
Supplementary Material 1
Supplementary Material 2
Supplementary Material 3
Supplementary Material 4
Supplementary Material 5
Supplementary Material 6
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Funding
This study was supported in part by National Council for Scientific and Technological Development ( Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq ) [SIAPE 2646486; Number project 49499].
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Declarations
Ethics approval and consent to participateNot applicable.
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Data access, responsibility, and analysis
The lead authors DM and VAS had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
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Communicated by Caio Machado
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Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Data availability
No datasets were generated or analysed during the current study.
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