Single color virtual H&E staining with In-and-Out Net.

Virtual staining streamlines traditional staining procedures by digitally generating stained images from unstained or differently stained images. While conventional staining methods involve time-consuming chemical processes, virtual staining offers an efficient and low infrastructure alternative. Leveraging microscopy-based techniques, such as confocal microscopy, researchers can expedite tissue analysis without the need for physical sectioning. However, interpreting grayscale or pseudo-color microscopic images remains a challenge for pathologists and surgeons accustomed to traditional histologically stained images. To fill this gap, various studies explore digitally simulating staining to mimic targeted histological stains. This paper introduces a novel network, In-and-Out Net, specifically designed for virtual staining tasks. Based on Generative Adversarial Networks (GAN), our model efficiently transforms Reflectance Confocal Microscopy (RCM) images into Hematoxylin and Eosin (H&E) stained images. We enhance nuclei contrast in RCM images using aluminum chloride preprocessing for skin tissues. Training the model with virtual H\&E labels featuring two fluorescence channels eliminates the need for image registration and provides pixel-level ground truth. Our contributions include proposing an optimal training strategy, conducting a comparative analysis demonstrating state-of-the-art performance, validating the model through an ablation study, and collecting perfectly matched input and ground truth images without registration. In-and-Out Net showcases promising results, offering a valuable tool for virtual staining tasks and advancing the field of histological image analysis.

Stigmatization and Mental Health Impact of Chronic Pediatric Skin Disorders.

Importance: Chronic skin disorders in children frequently are visible and can cause stigmatization. However, the extent of stigmatization from chronic skin disease and association with mental health needs further study. Objective: To examine the extent of stigma, dependence on disease visibility and severity, and association with mental health and quality of life (QOL) in chronic pediatric skin disease. Design, Setting, and Participants: A cross-sectional, single-visit study was conducted at 32 pediatric dermatology centers in the US and Canada from November 14, 2018, to November 17, 2021. Participants included patients aged 8 to 17 years with chronic skin disease and 1 parent. Main Outcomes and Measures: Using the Patient-Reported Outcomes Measurement Instrumentation System (PROMIS) Stigma-Skin, the extent of stigma with child-, caregiver-, and physician-assessed disease visibility (primary outcome) and severity was compared, as well as reduced QOL (assessed by Skindex-Teen), depression, anxiety, and poor peer relationships (PROMIS child and proxy tools) (secondary outcomes). Results: The study included 1671 children (57.9% female; mean [SD] age, 13.7 [2.7] years). A total of 56.4% participants had self-reported high disease visibility and 50.5% had moderate disease severity. Stigma scores significantly differed by level of physician-assessed and child/proxy-assessed disease visibility and severity. Among children with chronic skin disorders, predominantly acne, atopic dermatitis, alopecia areata, and vitiligo, only 27.0% had T scores less than 40 (minimal or no stigma) and 43.8% had at least moderate stigma (T score ≥45) compared with children with a range of chronic diseases. Stigma scores correlated strongly with reduced QOL (Spearman ρ = 0.73), depression (ρ = 0.61), anxiety (ρ = 0.54), and poor peer relationships (ρ = -0.49). Overall, 29.4% of parents were aware of bullying of their child, which was strongly associated with stigma (Cohen d = -0.79, with children who were not bullied experiencing lower levels of stigma). Girls reported more stigma than boys (Cohen d = 0.26). Children with hyperhidrosis and hidradenitis suppurativa were most likely to have increased depression and anxiety. Conclusions and Relevance: The findings of this study suggest that physician assessment of disease severity and visibility is insufficient to evaluate the disease impact in the patient/caregiver. Identifying stigmatization, including bullying, and tracking improvement through medical and psychosocial interventions may be a key role for practitioners.

Strong Genetic Overlaps Between Dimensional and Categorical Models of Bipolar Disorders in a Family Sample.

Background: Bipolar disorder (BD) presents with a wide range of symptoms that vary among relatives, casting doubt on categorical illness models. To address this uncertainly, we investigated the heritability and genetic relationships between categorical and dimensional models of BD in a family sample. Methods: Participants in the Amish-Mennonite Bipolar Genetics (AMBiGen) study were assigned categorical mood disorder diagnoses by structured psychiatric interview and completed the Mood Disorder Questionnaire (MDQ), which assesses lifetime history of manic symptoms and associated impairment. Major MDQ dimensions were analyzed by Principal Component Analysis (PCA) in 726 participants. Heritability and genetic overlaps between categorical diagnoses and MDQ-derived dimensions were estimated with SOLAR-ECLIPSE within 432 genotyped participants. Results: MDQ scores were significantly higher among individuals diagnosed with BD and related disorders, as expected, but varied widely among relatives. PCA suggested a three-component model for the MDQ. Heritability of the MDQ score was 30% (p<0.001), evenly distributed across its three principal components. Strong and significant genetic correlations were found between categorical diagnoses and most MDQ measures. Limitations: Recruitment through probands with BD resulted in increased prevalence of BD in this sample, limiting generalizability. Unavailable genetic data reduced sample size for some analyses. Conclusion: heritability and high genetic correlations between categorical diagnoses and MDQ measures support a genetic continuity between dimensional and categorical models of BD.

A resource of induced pluripotent stem cell (iPSC) lines including clinical, genomic, and cellular data from genetically isolated families with mood and psychotic disorders.

Genome-wide (GWAS) and copy number variant (CNV) association studies have reproducibly identified numerous risk alleles associated with bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ), but biological characterization of these alleles lags gene discovery, owing to the inaccessibility of live human brain cells and inadequate animal models for human psychiatric conditions. Human-derived induced pluripotent stem cells (iPSCs) provide a renewable cellular reagent that can be differentiated into living, disease-relevant cells and 3D brain organoids carrying the full complement of genetic variants present in the donor germline. Experimental studies of iPSC-derived cells allow functional characterization of risk alleles, establishment of causal relationships between genes and neurobiology, and screening for novel therapeutics. Here we report the creation and availability of an iPSC resource comprising clinical, genomic, and cellular data obtained from genetically isolated families with BD and related conditions. Results from the first 324 study participants, 61 of whom have validated pluripotent clones, show enrichment of rare single nucleotide variants and CNVs overlapping many known risk genes and pathogenic CNVs. This growing iPSC resource is available to scientists pursuing functional genomic studies of BD and related conditions.

Glucocorticoid Receptor Gene (NR3C1) Polymorphisms and Metabolic Syndrome: Insights from the Mennonite Population.

The regulation of the hypothalamic-pituitary-adrenal (HPA) axis is associated with polymorphisms and the methylation degree of the glucocorticoid receptor gene (NR3C1) and is potentially involved in the development of metabolic syndrome (MetS). In order to evaluate the association between MetS with the polymorphisms, methylation, and gene expression of the NR3C1 in the genetically isolated Brazilian Mennonite population, we genotyped 20 NR3C1 polymorphisms in 74 affected (MetS) and 138 unaffected individuals without affected first-degree relatives (Co), using exome sequencing, as well as five variants from non-exonic regions, in 70 MetS and 166 Co, using mass spectrometry. The methylation levels of 11 1F CpG sites were quantified using pyrosequencing (66 MetS and 141 Co), and the NR3C1 expression was evaluated via RT-qPCR (14 MetS and 25 Co). Age, physical activity, and family environment during childhood were associated with MetS. Susceptibility to MetS, independent of these factors, was associated with homozygosity for rs10482605*C (OR = 4.74, pcorr = 0.024) and the haplotype containing TTCGTTGATT (rs3806855*T_ rs3806854*T_rs10482605*C_rs10482614*G_rs6188*T_rs258813*T_rs33944801*G_rs34176759*A_rs17209258*T_rs6196*T, OR = 4.74, pcorr = 0.048), as well as for the CCT haplotype (rs41423247*C_ rs6877893*C_rs258763*T), OR = 6.02, pcorr = 0.030), but not to the differences in methylation or gene expression. Thus, NR3C1 polymorphisms seem to modulate the susceptibility to MetS in Mennonites, independently of lifestyle and early childhood events, and their role seems to be unrelated to DNA methylation and gene expression.

Genome-wide significant risk loci for mood disorders in the Old Order Amish founder population.

Genome-wide association studies (GWAS) of mood disorders in large case-control cohorts have identified numerous risk loci, yet pathophysiological mechanisms remain elusive, primarily due to the very small effects of common variants. We sought to discover risk variants with larger effects by conducting a genome-wide association study of mood disorders in a founder population, the Old Order Amish (OOA, n = 1,672). Our analysis revealed four genome-wide significant risk loci, all of which were associated with >2-fold relative risk. Quantitative behavioral and neurocognitive assessments (n = 314) revealed effects of risk variants on sub-clinical depressive symptoms and information processing speed. Network analysis suggested that OOA-specific risk loci harbor novel risk-associated genes that interact with known neuropsychiatry-associated genes via gene interaction networks. Annotation of the variants at these risk loci revealed population-enriched, non-synonymous variants in two genes encoding neurodevelopmental transcription factors, CUX1 and CNOT1. Our findings provide insight into the genetic architecture of mood disorders and a substrate for mechanistic and clinical studies.

Assessing Treatment Delays for Vitiligo Patients: A Retrospective Chart Review.

Many barriers to care exist for vitiligo patients that can impact patients' quality of life. Because early treatment of vitiligo is more efficacious, we investigated the factors associated with delay to treatment via a retrospective chart review of 102 consecutive patients attending an academic outpatient clinic over a 36-month time frame. Demographic information, clinical characteristics of vitiligo, and treatment details were obtained via a standardized questionnaire given to all patients with vitiligo. Our findings emphasize the need to investigate barriers to care to reduce health disparities among individuals with vitiligo.

Deep learning on reflectance confocal microscopy improves Raman spectral diagnosis of basal cell carcinoma.

SIGNIFICANCE: Raman spectroscopy (RS) provides an automated approach for assisting Mohs micrographic surgery for skin cancer diagnosis; however, the specificity of RS is limited by the high spectral similarity between tumors and normal tissues structures. Reflectance confocal microscopy (RCM) provides morphological and cytological details by which many features of epidermis and hair follicles can be readily identified. Combining RS with deep-learning-aided RCM has the potential to improve the diagnostic accuracy of RS in an automated fashion, without requiring additional input from the clinician. AIM: The aim of this study is to improve the specificity of RS for detecting basal cell carcinoma (BCC) using an artificial neural network trained on RCM images to identify false positive normal skin structures (hair follicles and epidermis). APPROACH: Our approach was to build a two-step classification model. In the first step, a Raman biophysical model that was used in prior work classified BCC tumors from normal tissue structures with high sensitivity. In the second step, 191 RCM images were collected from the same site as the Raman data and served as inputs for two ResNet50 networks. The networks selected the hair structure and epidermis images, respectively, within all images corresponding to the positive predictions of the Raman biophysical model with high specificity. The specificity of the BCC biophysical model was improved by moving the Raman spectra corresponding to these selected images from false positive to true negative. RESULTS: Deep-learning trained on RCM images removed 52% of false positive predictions from the Raman biophysical model result while maintaining a sensitivity of 100%. The specificity was improved from 84.2% using Raman spectra alone to 92.4% by integrating Raman spectra with RCM images. CONCLUSIONS: Combining RS with deep-learning-aided RCM imaging is a promising tool for guiding tumor resection surgery.

Caregiver Preferences and Barriers Toward Accessing Pediatric Dermatology Care for Childhood Atopic Dermatitis.

INTRODUCTION: Atopic dermatitis (AD) is a common chronic childhood illness. It is often treated by primary care providers (PCPs) though it may require referral to a dermatology specialist. METHOD: We administered an exploratory survey to 50 caregivers of children aged 0-17 years with AD to assess their preferences and barriers toward accessing dermatology specialty care for their child's AD. RESULTS: Caregivers felt PCPs and specialists equally listened to their child's AD concerns. However, many felt there was a difference in the care provided and control of the AD and preferred to see a specialist for ongoing management. DISCUSSION: Caregivers may benefit from their children being referred to dermatology specialists earlier and more often for their AD. Further work must be done to characterize preferences and barriers toward AD care across race and ethnicity.

Validation of remote atopic dermatitis severity assessment with the Eczema Area and Severity Ondex in children using caregiver-provided photos and videos.

BACKGROUND/OBJECTIVES: We sought to quantify the reliability and validity of remote atopic dermatitis (AD) severity assessment using the Eczema Area and Severity Index (EASI) applied to caregiver-provided photos (p-EASI) and videos (v-EASI). METHODS: Children (0-17 years) with a physician diagnosis of AD were recruited. Caregivers took photos and a video of their child's skin. A clinician scored in-person EASI on the same day, then p-EASI and v-EASI for each participant 10 days or more between ratings. Two additional clinicians scored p-EASI and v-EASI. Lin's concordance correlation coefficient (CCC) was employed to assess criterion validity using in-person EASI as the gold standard. Intraclass correlation coefficients (ICCs) were calculated to assess interrater reliability of p-EASI and v-EASI. RESULTS: Fifty racially and ethnically diverse children (age [mean ± SD]: 4.3 ± 4.4 years; 42% female) with a range of AD severity (EASI: 6.3 ± 6.4) and Fitzpatrick skin types (1-2: 9%; 3-4: 60%; 5-6: 31%) were enrolled and received in-person EASI assessment. Fifty had p-EASI and 49 had v-EASI by the same in-person rater, and by two additional raters. The CCC and ICC for p-EASI were 0.89, 95% CI [0.83, 0.95] and 0.81, 95% CI [0.71, 0.89], respectively. The CCC and ICC for v-EASI were 0.75, 95% CI [0.63, 0.88] and 0.69, 95% CI [0.51, 0.81], respectively. CONCLUSIONS: In this diverse population with a range of skin tones, p-EASI showed good criterion validity and good interrater reliability. v-EASI showed moderate to good criterion validity and moderate interrater reliability. Both may be reliable and valid options for remote AD severity assessment.

UV Exposure and the Risk of Keratinocyte Carcinoma in Skin of Color: A Systematic Review.

Importance: Ultraviolet radiation exposure is an important modifiable risk factor for keratinocyte carcinoma (KC) in fair-skinned non-Hispanic White populations; however, the evidence for this relationship in darker-skinned populations is less certain. Objective: To assess and synthesize the published data concerning the association between UV exposure and the risk of KC in individuals with skin of color. Evidence Review: PubMed, Cochrane, and Web of Science databases were searched from database origin through January 2022. Studies deemed eligible included UV exposure as a risk factor for KC in individuals with skin of color, defined as any race other than non-Hispanic White, Fitzpatrick skin types IV to VI, or tanning ability of rarely or never burns. The UV index, irradiance, latitude, history of phototherapy, history of sunburn, or occupational exposure were used as measures of exposure. The Oxford Centre for Evidence-Based Medicine guidelines were used to assess evidence quality. Findings: A total of 72 716 articles appeared in the search. After duplicate removal, 29 393 database records were screened, 454 full-text articles were assessed, a forward and reverse citation search was performed, and 12 articles, with clinical data spanning the years 1990 to 2019, met inclusion criteria. More than 32 970 KCs in individuals with skin of color were included. Eight studies found no association between UV exposure and KC, while 4 studies showed a positive association. Study types included 1 ecological study, 9 cohort studies, and 2 case-control studies. The quality of the studies was rated from moderate to low (2b to 4). Conclusions and Relevance: Results of this systematic review show that the evidence assessing the association of UV exposure with KC is of moderate to low quality. The studies that found no association were among patients receiving phototherapy. Studies assessing nonphototherapy-related UV exposure, such as geographic location or occupation, found small positive associations in primarily East Asian individuals. There were no studies performed in the US, no studies among Black individuals, and only 1 study among a Hispanic population. Further research is required to better assess whether these associations exist across populations of patients with darker skin types.

Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging.

SIGNIFICANCE: Sub-diffuse optical properties may serve as useful cancer biomarkers, and wide-field heatmaps of these properties could aid physicians in identifying cancerous tissue. Sub-diffuse spatial frequency domain imaging (sd-SFDI) can reveal such wide-field maps, but the current time cost of experimentally validated methods for rendering these heatmaps precludes this technology from potential real-time applications. AIM: Our study renders heatmaps of sub-diffuse optical properties from experimental sd-SFDI images in real time and reports these properties for cancerous and normal skin tissue subtypes. APPROACH: A phase function sampling method was used to simulate sd-SFDI spectra over a wide range of optical properties. A machine learning model trained on these simulations and tested on tissue phantoms was used to render sub-diffuse optical property heatmaps from sd-SFDI images of cancerous and normal skin tissue. RESULTS: The model accurately rendered heatmaps from experimental sd-SFDI images in real time. In addition, heatmaps of a small number of tissue samples are presented to inform hypotheses on sub-diffuse optical property differences across skin tissue subtypes. CONCLUSION: These results bring the overall process of sd-SFDI a fundamental step closer to real-time speeds and set a foundation for future real-time medical applications of sd-SFDI such as image guided surgery.

Interventions to improve primary care provider management of atopic dermatitis: A systematic review.

Most atopic dermatitis (AD) patients are managed by primary care providers (PCPs). PCP discomfort diagnosing and managing AD leads to suboptimal patient outcomes. In order to determine the efficacy of interventions aimed at improving PCP management of AD, a systematic literature review was performed for interventions to improve primary care management of AD. PubMed, MEDLINE, Embase, Scopus, LILACS, Cochrane, GREAT, and CINAHL were searched from database origin to February 24, 2020. Two reviewers independently performed the title/abstract and full-text review, and data extraction. Overall, 3009 non-duplicate articles were screened; 145 full-text articles were assessed. Thirteen studies met inclusion criteria, including 8 randomized controlled trials, 2 cohorts, 2 qualitative studies, and 1 unspecified design. Seven interventions (53.8%) significantly improved PCP knowledge/ability and/or a patient outcome, including patients consulting with a dermatology-trained nurse, pairing clinical education with expert consultation, pairing trainees with clinical mentors, giving clinicians a treatment guide, pairing clinical education with a treatment guide, and providing an eczema action plan. Studies had moderate-high risk-of-bias, moderate quality, and heterogeneous designs. There are few studies published and little evidence supporting the efficacy of interventions aimed at improving primary care management of AD. Further research is required to develop and implement effective interventions to improve primary care management of AD.

Impact of COVID-19 outbreak on Italian healthcare workers versus general population: Results from an online survey.

OBJECTIVE: COVID-19 pandemic has been a stressful condition. We explored life changes and health-related consequences of COVID-19 outbreak in Italian healthcare workers in comparison to the general population. METHODS: A total of 593 subjects participated to the online CoRonavIruS Health Impact Survey. Life events and changes, physical health and worries were evaluated referring to 2 weeks prior to the survey. Mood states and daily behaviour were retrospectively evaluated referring to 3 months before COVID-19 (T1) and 2 weeks prior to the survey (T2). Student t test, Mann-Whitney test and multivariate logistic regression analyses were run. RESULTS: Five hundred and twenty-one subjects were analysed (healthcare workers: n = 163, 31.84%; general population: n = 349, 68.16%). Healthcare workers were more likely to report fatigue and have spent more time outside home during the 2 weeks prior to the survey than the general population (χ2 (df) = 266.03(17) , p < 0.001, R2 = 0.57). From T1 to T2, healthcare workers had a significant increase in negative mood, worry, restlessness, loneliness and a decrease in happiness, while subjects from the general population had a statistically significant increase in negative mood, worry, attention, concentration difficulties and a decrease in happiness, pleasure related to daily activities, time spent outdoors and alcohol use. CONCLUSION: In the framework of a growing literature on healthcare workers' status during the COVID-19 pandemic, the present study allowed to identify fatigue and loneliness as psychosomatic modifiable variables in need of being monitored and, possibly managed, to ameliorate the health status of healthcare workers.

Neural correlates of negative and disease-specific emotional stimuli in panic disorder: a functional magnetic resonance imaging study.

OBJECTIVE: Decades of research have highlighted the involvement of the prefrontal cortex, anterior cingulated cortex, and limbic areas (amygdala) in panic disorder (PD). However, little attention has been given specifically to the inferior frontal gyrus. The current study aimed to investigate the neural substrates, including the inferior frontal gyrus, of both panic-related and negative conditions among individuals with PD and healthy controls. METHODS: We examined 13 medication-free PD patients and 14 healthy controls with functional magnetic resonance imaging (fMRI) during exposure to negative and neutral pictures and a set of specific panic-related pictures. RESULTS: Subtraction between the conditions indicated activation of the left amygdala region and the right inferior frontal gyrus in PD patients during the specific panic-related condition, whereas the left amygdalar region and left inferior frontal gyrus were activated during the negative condition in controls. CONCLUSION: These results suggest that in patients with PD, a prominent bottom-up process is involved in specific panic-related conditions, which might be associated with weak modulation of the left frontal area. These data add to our current understanding of the neural correlates of PD and can contribute to future clinical interventions targeting the functional reestablishment of these regions.

UV Exposure and the Risk of Cutaneous Melanoma in Skin of Color: A Systematic Review.

Importance: While current evidence supports UV exposure as an important risk factor for cutaneous melanoma in fair-skinned populations, the evidence for this association in skin of color is less certain. Objective: To critically assess and synthesize the published data regarding the association between UV exposure and the risk of cutaneous melanoma in skin of color. Evidence Review: A search was conducted including PubMed, Cochrane, and Web of Science databases from database origin to June 3, 2020. Only peer-reviewed original studies were screened in full text. Eligible studies analyzed UV exposure as a risk factor for cutaneous melanoma in people with skin of color, which was defined broadly as any race/ethnicity other than non-Hispanic White, Fitzpatrick skin types IV through VI, or tanning ability of rarely or never burns. Measures of UV exposure included UV index, irradiance, latitude, history of phototherapy, and history of sunburn. Evidence quality was assessed using criteria from the Oxford Centre for Evidence-Based Medicine. Findings: After duplicate removal, 11 059 database records were screened, 548 full-text articles were assessed, and 13 met inclusion criteria. Study types included 7 ecological studies, 5 cohort studies, and 1 case-control study. All studies used race and/or ethnicity to categorize the participants, and more than 7700 melanomas in skin of color were included. Of the 13 studies that met inclusion criteria, 11 found no association between UV exposure and melanoma in skin of color, 1 study showed a small positive relationship in Black males, and 1 showed a weak association in Hispanic males. All studies were of moderate to low quality (Oxford Centre ratings 2b to 4). Conclusions and Relevance: In this systematic review, the evidence suggests that UV exposure may not be an important risk factor for melanoma development in people with skin of color. Current recommendations promoting UV protection for melanoma prevention in skin of color are not supported by most current studies. However, evidence is of moderate to low quality, and further research is required to fully elucidate this association.

Polygenic risk for anxiety influences anxiety comorbidity and suicidal behavior in bipolar disorder.

Bipolar disorder is often comorbid with anxiety, which is itself associated with poorer clinical outcomes, including suicide. A better etiologic understanding of this comorbidity could inform diagnosis and treatment. The present study aims to test whether comorbid anxiety in bipolar disorder reflects shared genetic risk factors. We also sought to assess the contribution of genetic risk for anxiety to suicide attempts in bipolar disorder. Polygenic risk scores (PRS) were calculated from published genome-wide association studies of samples of controls and cases with anxiety (n = 83,566) or bipolar disorder (n = 51,710), then scored in independent target samples (total n = 3369) of individuals with bipolar disorder who reported or denied lifetime anxiety disorders or suicidal attempts in research interviews. Participants were recruited from clinical and nonclinical settings and genotyped for common genetic variants. The results show that polygenic risk for anxiety was associated with comorbid anxiety disorders and suicide attempts in bipolar disorder, while polygenic risk for bipolar disorder was not associated with any of these variables. Our findings point out that comorbid anxiety disorders in bipolar disorder reflect a dual burden of bipolar and anxiety-related genes; the latter may also contribute to suicide attempts. Clinical care that recognizes and addresses this dual burden may help improve outcomes in people living with comorbid bipolar and anxiety disorders.

Reduced Duration of Postchikungunya Musculoskeletal Pain in Rheumatological Patients Treated with Biologicals.

Chikungunya fever (CHIK) has caused important epidemic outbreaks in the Americas, with musculoskeletal involvement being the main manifestation, causing chronic symptoms in half of the affected patients. This study was performed to evaluate the clinical course of the infection in 168 patients with autoimmune inflammatory disease using biological disease-modifying antirheumatic drugs (bDMARDs), comparing this group with 56 household controls. Anti-CHIKV IgG serology was positive in 42 (25%) of the patients in the bDMARD group and in 15 (27%) of the controls (p=0.79). Of those with positive serology, 32 (76%) and 14 (93%) were symptomatic among subjects in the bDMARD and control groups, respectively (p=0.87). Persistence of musculoskeletal symptoms for more than three months occurred in 64% of the patients in the control group and only in 28% in the bDMARD group (p=0.021), maintaining a statistically significant difference only for users of anti-TNF. This study found that patients affected by chikungunya fever using bDMARDs did not present severe forms or complications in the acute phase of the disease, and patients using anti-TNF biologicals had a lower frequency of chronic joint symptoms than the household controls. This favorable outcome may be related to the cytokine blockade, with a reduction in the inflammatory response and joint damage.