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Axial spondyloarthritis (axSpA) increases the risk of osteoporosis and vertebral fractures. Bone mineral density (BMD) measured by dual X-ray absorptiometry (DXA) has limitations in axSpA patients. Trabecular bone score (TBS) indirectly assesses bone microarchitecture and can be used to predict fracture risk. However, few studies have investigated the role of TBS in axSpA patients. The objective of this study were to compare TBS between axSpA patients and 1:1 sex- and age-matched healthy volunteers and determine factors associated with low TBS in axSpA patients. A cross-sectional study was conducted in two tertiary-care hospitals. A total of 137 axSpA patients and healthy volunteers were enrolled. Demographics, disease characteristics, and risk factors for osteoporosis were recorded. TBS, BMD at the lumbar spine, hip, and vertebral fractures were assessed by DXA. Low TBS was defined as a TBS value < 1.230. Factors associated with low TBS were examined by logistic regression. Most patients were male (75.9%) and tested positive for HLA-B27 (88.3%). The mean (SD) age was 42.8 (12.0) years. The mean (SD) of TBS in the axSpA patients was lower than those in the healthy volunteers [1.402 (0.107) vs 1.440 (0.086), respectively; p = 0.002]. The mean (SD) of lumbar BMD in the axSpA patients was higher than in healthy volunteers [1.186 (0.212) vs 1.087 (0.124), p < 0.001], whereas the mean (SD) of femoral neck BMD in the axSpA group was lower than that in the healthy volunteers [0.867 (0.136) vs 0.904 (0.155), p = 0.038]. Disease severity as indicated by sacroiliac joint fusion and a high ASDAS score were associated with low TBS with the odds ratios (95% confidence interval) of 11.8 (1.2–115.4) and 5.2 (1.6–16.9), respectively. In conclusion, axSpA patients had a higher prevalence of low TBS than healthy volunteers. Sacroiliac joint fusion and a high ASDAS score were associated with low TBS. [ABSTRACT FROM AUTHOR]

Background: A better understanding of the epidemiological profile of systemic sclerosis (SSc) in Thais could improve care, human resource deployment, and public health budgeting. Objectives: We aimed to determine the incidence and prevalence of SSc in Thailand between 2017 and 2020. Methods: A descriptive epidemiological study was performed using the Information and Communication Technology Center, Ministry of Public Health database, comprising all types of healthcare providers during the study period. Demographic data of patients having a primary diagnosis of M34 systemic sclerosis and over 18 years of age between 2017 and 2020 were reviewed. The incidence and prevalence of SSc were calculated as well as their respective 95% confidence intervals (CIs). Results: The number of SSc cases in 2017 was 15,920 from a total Thai population of 65,204,797. The prevalence of SSc in 2017 was 24.4 per 100,000 populations (95% CI 24.0–24.8). The prevalence of SSc among women was 2 times greater than among men (32.7 vs. 15.8 per 100,000). The incidence of SSc was stable from 2018 to 2019 but dropped slightly in 2020 (7.2, 7.6, and 6.8 per 100,000 person-years, respectively). Most SSc cases were in northeastern Thailand (11.6, 12.1, and 11.1 per 100,000 person-years from 2018 to 2020, respectively) and the peak was between 60 and 69 years of age (24.6, 23.8, and 20.9 per 100,000 person-years from 2018 to 2020, respectively). Conclusion: SSc is a rare disease among Thais. The disease was commonly revealed in late middle-aged women with a peak at age 60–69 years, mainly from the northeast regions. The incidence remained stable during the study period, albeit during the emergence of the coronavirus pandemic a slight decline was recorded. Key Points • The incidence and prevalence of systemic sclerosis (SSc) vary across ethnic populations. • There is a lack of epidemiology research of SSc since the 2013 ACR/EULAR Classification Criteria for Scleroderma was adopted among Thais included Asia-Pacific population as the population has some different clinical features than those reported among Caucasians. • SSc is a rare connective disease among Thais and commonly presents in late middle-aged group of both genders, mainly in Thailand's northern and northeastern regions. • When compare to the epidemiology of SSc in Asia-Pacific, the prevalence of SSc in Thais was higher than among East Asians and the Indian population and the incidence of SSc among Thais was greater than the other Asia-Pacific population including Australian. [ABSTRACT FROM AUTHOR]

Background: Skin tightness is a hallmark of systemic sclerosis (SSc), and the fingers are an affected body part, so much so that fingerprints can be significantly affected among those with extensive skin tightness of the finger. Objective: We aimed to compare the difference between the current and past (pre-disease onset) fingerprints of SSc patients. Methods: We conducted a cross-sectional study among adult SSc patients who attended the Scleroderma Clinic, Khon Kaen University, between October 2019, and September 2020. All eligible patients consented to obtaining their current and previous prints from the Central Registration Bureau, Department of Provincial Administration, Ministry of the Interior. The current prints were obtained using the Crossmatch (Lite UE) live scan from the Central Institute of Forensic Science of Thailand. We investigated the concordance between the prints before disease onset and the current (enroll date) via the Printquest AFIS system with officers from the Central Institute of Forensic Science, Thailand. Results: One hundred SSc patients, according to the sample size calculation, were enrolled (mean age 59.4 ± 9.6 years; 66% female). Most (70%) had the diffuse cutaneous SSc subset. A respective 59%, 55%, and 6% presented acro-osteolysis, hand deformities, and digital ulcers. Some challenges were experienced in obtaining prints from patients with loss of the fingertip fat pad, finger joint contracture, and/or acro-osteolysis; notwithstanding, all fingerprints were usable and without individualized changes. Conclusion: Fingerprints were affected by fingertip lesions and finger joint contractures; notwithstanding, the prints remained usable for personal identification. Key Points • Skin involvement in systemic sclerosis (SSc) affects the prints, particularly at the fingertip. • Despite disease onset, the fingerprints of SSc patients do not change significantly. • Fingerprints are inadequate for personal identification among SSc patients with hand deformities due to poor quality or difficulty acquiring them. [ABSTRACT FROM AUTHOR]

Patients with systemic sclerosis (SSc) have some potential factors associated with an increased risk of sarcopenia. There has been currently no study to examine such associations in SSc patients. We aimed to determine the prevalence of sarcopenia among SSc patients and examine its association with clinical manifestations and laboratory tests. A cross-sectional study was conducted in 180 adult SSc patients at the Scleroderma Clinic, Khon Kaen University, Thailand, between July 2019 and April 2020. Clinical data, laboratory tests for inflammatory markers, serology, hormone, body composition by dual-energy X-ray absorptiometry, handgrip strength, functional lower extremity strength, and usual gait speed were collected and measured. Sarcopenia was defined according to the criteria of the Asian Working Group for Sarcopenia. One hundred and eighty patients were recruited. Ninety-four cases (52.2%) were the diffuse cutaneous SSc subset. The respective mean age and duration of disease was 58.8 ± 9.4 and 6.2 ± 5.3 years. Sarcopenia was revealed in 41 SSc patients for a prevalence of 22.8% (95% CI 12.1–34.8), while the prevalence was higher in patients with the diffuse cutaneous SSc (dcSSc) compared to the limited cutaneous SSc. BMI at the onset of SSc and C-reactive protein > 5 mg/dL were significantly associated with sarcopenia with a respective OR of 0.60 (95% CI 0.48–0.75) and 3.18 (1.06–9.54). Sarcopenia is common in patients with SSc, but the prevalence is more pronounced in the dcSSc. Inflammatory markers, particularly the CRP level, are strongly associated. BMI at the onset had a negative association with sarcopenia among SSc patients. [ABSTRACT FROM AUTHOR]

Clinical predictors of mortality in systemic sclerosis (SSc) are diversely reported due to different healthcare conditions and populations. A simple predictive model for early mortality among patients with SSc is needed as a precise referral tool for general practitioners. We aimed to develop and validate a simple predictive model for predicting mortality among patients with SSc. Prognostic research with a historical cohort study design was conducted between January 1, 2013, and December 31, 2020, in adult SSc patients attending the Scleroderma Clinic at a university hospital in Thailand. The data were extracted from the Scleroderma Registry Database. Early mortality was defined as dying within 5 years after the onset of SSc. Deep learning algorithms with Adam optimizer and different machine learning algorithms (including Logistic Regression, Decision tree, AdaBoost, Random Forest, Gradient Boosting, XGBoost, and Autoencoder neural network) were used to classify SSc mortality. In addition, the model's performance was evaluated using the area under the receiver operating characteristic curve (auROC) and its 95% confidence interval (CI) and values in the confusion matrix. The predictive model development included 528 SSc patients, 343 (65.0%) were females and 374 (70.8%) had dcSSc. Ninety-five died within 5 years after disease onset. The final 2 models with the highest predictive performance comprise the modified Rodnan skin score (mRSS) and the WHO-FC ≥ II for Model 1 and mRSS and WHO-FC ≥ III for Model 2. Model 1 provided the highest predictive performance, followed by Model 2. After internal validation, the accuracy and auROC were good. The specificity was high in Models 1 and 2 (84.8%, 89.8%, and 98.8% in model 1 vs. 84.8%, 85.6%, and 98.8% in model 2). This simplified machine learning model for predicting early mortality among patients with SSc could guide early referrals to specialists and help rheumatologists with close monitoring and management planning. External validation across multi-SSc clinics should be considered for further study. [ABSTRACT FROM AUTHOR]

Thyroid disease, particularly hypothyroidism, has been reported in systemic sclerosis (SSc). Some clinical features of SSc can also present in hypothyroidism. Our aims were to determine the prevalence of, and describe clinical features associated with, hypothyroidism in SSc patients. We conducted a historical cohort study of adult SSc patients who underwent screening thyroid function tests at the Scleroderma Clinic, Khon Kaen University, Thailand, between 2009 and 2018. The patients who had any thyroid disorders before the onset of SSc and were diagnosed as an overlap syndrome were excluded. A total of 200 SSc were included according to sample size calculation, among whom the female to male ratio was 2:1. The majority of cases (137; 69.5%) were diffuse cutaneous SSc subset. The mean age was 55.8 ± 10.7 years and the median duration of disease 4.9 (IQR 1.6–9.9) years. Of the total, 9 had primary hypothyroidism (prevalence 4.5%; 95%CI 2.1–8.4) and 22 had subclinical hypothyroidism (prevalence 11%; 95%CI 7.0–16.2). Of the latter 22, 71% had dcSSc. Logistic regression analysis indicated that unexplained anemia was significantly associated with either subclinical hypothyroid or hypothyroidism (OR 2.74; 95% CI 1.17–6.47), whereas Raynaud's phenomenon had a negative association (OR 0.28; 95% CI 0.11–0.66). Neither severity of skin tightness nor internal organ involvement were associated with hypothyroidism among SSc patients. Clinical-subclinical hypothyroidism is uncommon among SSc patients, it is frequently associated with anemia, and less so Raynaud's phenomenon. Clinical-subclinical hypothyroidism should thus be considered in cases of unexplained anemia in SSc patients. [ABSTRACT FROM AUTHOR]