Epidemiological features of rosacea in Changsha, China: A population‐based, cross‐sectional study

Li, Jinglin; Wang, Ben; Deng, Yuxuan; Shi, Wei; Jian, Dan; Liu, Fangfen; Huang, Yingxue; Tang, Yan; Zhao, Zhixiang; Huang, Xin; Ji, Li; Xie, Hongfu

doi:10.1111/1346-8138.15301

Cited by 43 publications

(51 citation statements)

References 18 publications

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“…Therefore, in contrary to the findings of James et al our results suggest that rosacea is not associated with hypothyroidism. In another study conducted in China, researchers concluded that hyperthyroidism was associated with rosacea in females ( P < .05), while it was not associated with rosacea in males 8 . As per our findings, TSH, anti‐TPO, and anti‐TG values did not pose a risk for rosacea.…”

Section: Discussionsupporting

confidence: 80%

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Investigation of thyroid blood tests and thyroid ultrasound findings of patients with rosacea

Gönülal

Teker

Öztürk

et al. 2020

Dermatologic Therapy

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We aimed to investigate the relationship between rosacea and thyroid diseases by analyzing thyroid blood tests and ultrasound findings of our patients recently diagnosed with rosacea. This study was designed as a prospective, single‐center study. Dermatological examination findings, lesion locations were recorded, and rosacea clinical scores were calculated for all study group patients. The control group consisted of completely healthy women presented to our hospital during the study period for check‐up purposes. Serum‐free thyroxine, free triiodothyronine, thyroid‐stimulating hormone, antithyroglobulin antibody, antithyroid peroxidase antibody levels were measured, and thyroid ultrasound examinations were performed for all study participants. The entire study cohort consisted of 123 patients (63 cases and 60 controls). There was no significant difference between the groups in terms of mean patient age (P < .05). Cheek was the most common lesion location (96.8%). There was no difference between the groups in terms of thyroid‐related laboratory parameters. However, anti‐TPO levels differed significantly with increasing disease severity (ie, RCSs). There were significant relationships between cheek lesions and fT4 (P = .021), while nose and chin lesions were associated with fT3 (P = .01, P = .001). Thyroid ultrasound findings revealed that rosacea patients tended to have larger thyroid nodules and more heterogeneous thyroid parenchymas than controls. Our findings indicate that thyroid blood tests, including thyroid autoantibodies, should be tested and thyroid ultrasounds should be performed in patients diagnosed with rosacea. However, these findings need to be validated by prospective studies conducted in larger patient series with more extended follow‐up periods.

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Section: Discussionsupporting

confidence: 80%

“…It primarily affects central facial convexities (cheeks, nose, chin, and forehead). It was reported that the incidence of rosacea was 5.46%, and it ranged between 0.09% in the Faroe Islands of Denmark and 22% in Caucasians 8 . Its prevalence was relatively low in countries populated by people with Fitzpatrick skin phototypes IV to V.…”

Section: Discussionmentioning

confidence: 99%

Investigation of thyroid blood tests and thyroid ultrasound findings of patients with rosacea

Gönülal

Teker

Öztürk

et al. 2020

Dermatologic Therapy

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“…Rosacea is a common chronic inflammatory disease, which mainly affects the convex facial areas such as nose, cheek, chin, and glabella, with estimated prevalence ranging from 2% to 22% worldwide [1,2] and leading to impaired physical appearance, self-abasement, frustration, and poor quality of life in millions of patients with rosacea [3]. The clinical manifestations of rosacea are quite diversified, including flushing, erythema, angiotelectasis, papules, pustules, and phymatous changes [4], which vary largely from patient to patient, and some of these manifestations usually overlap [5].…”

Section: Introductionmentioning

confidence: 99%

A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

Zhao¹,

Wu²,

Zhang³

et al. 2021

JMIR Med Inform

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Background Rosacea is a chronic inflammatory disease with variable clinical presentations, including transient flushing, fixed erythema, papules, pustules, and phymatous changes on the central face. Owing to the diversity in the clinical manifestations of rosacea, the lack of objective biochemical examinations, and nonspecificity in histopathological findings, accurate identification of rosacea is a big challenge. Artificial intelligence has emerged as a potential tool in the identification and evaluation of some skin diseases such as melanoma, basal cell carcinoma, and psoriasis. Objective The objective of our study was to utilize a convolutional neural network (CNN) to differentiate the clinical photos of patients with rosacea (taken from 3 different angles) from those of patients with other skin diseases such as acne, seborrheic dermatitis, and eczema that could be easily confused with rosacea. Methods In this study, 24,736 photos comprising of 18,647 photos of patients with rosacea and 6089 photos of patients with other skin diseases such as acne, facial seborrheic dermatitis, and eczema were included and analyzed by our CNN model based on ResNet-50. Results The CNN in our study achieved an overall accuracy and precision of 0.914 and 0.898, with an area under the receiver operating characteristic curve of 0.972 for the detection of rosacea. The accuracy of classifying 3 subtypes of rosacea, that is, erythematotelangiectatic rosacea, papulopustular rosacea, and phymatous rosacea was 83.9%, 74.3%, and 80.0%, respectively. Moreover, the accuracy and precision of our CNN to distinguish rosacea from acne reached 0.931 and 0.893, respectively. For the differentiation between rosacea, seborrheic dermatitis, and eczema, the overall accuracy of our CNN was 0.757 and the precision was 0.667. Finally, by comparing the CNN diagnosis with the diagnoses by dermatologists of different expertise levels, we found that our CNN system is capable of identifying rosacea with a performance superior to that of resident doctors or attending physicians and comparable to that of experienced dermatologists. Conclusions The findings of our study showed that by assessing clinical images, the CNN system in our study could identify rosacea with accuracy and precision comparable to that of an experienced dermatologist.

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“…Rosacea is a chronic inflammatory cutaneous disease with an estimated worldwide prevalence of 5.5% ( 1 ). In China, the prevalence of rosacea is up to 3.48% ( 2 ). Rosacea mostly affects facial areas and is characterized by recurrent flushing, telangiectasia, persistent erythema, phymas, papules, pustules, edema, and irritated eyes ( 3 , 4 ).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and Risk Factors of Anxiety and Depression in Rosacea Patients: A Cross-Sectional Study in China

et al. 2021

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Rosacea is a chronic inflammatory skin disease characterized by facial redness and bothersome symptoms. It can exert significant psychological effects and impair the quality of life of patients. To investigate the prevalence and risk predictors of anxiety and depression in rosacea patients, we conducted a cross-sectional study in an outpatient setting. Consecutive patients completed a questionnaire, which included questions on sociodemographic information and severity of signs and symptoms; they also completed the Patient Health Questionnaire and the Generalized Anxiety Disorder scale. Disease burden was assessed using Dermatology Life Quality Index (DLQI), Willing-to-Pay, and Time trade-off. Multivariate analysis was conducted to determine the risk factors for anxiety and depression. A total of 774 patients completed the survey. The prevalence of anxiety was 53.9% (95% CI: 50.4–57.4%) and that of depression was 58.1% (95% CI: 54.7–61.6%). The factors associated with anxiety were age, gender, the need to make appearances at work, severity of self-reported symptoms, the number of rosacea signs and adaptive behaviors, and disease burden. Depression was associated with younger age, more severe self-reported symptoms, more adaptive behaviors, and higher disease burden. After adjusting for demographics, the risk of anxiety or depression increased in young patients who had severe self-reported symptoms, high DLQI scores, and many adaptive behaviors. Taken together, there is a high prevalence of anxiety and depression among Chinese rosacea patients. Younger rosacea patients who have more severe self-reported symptoms and higher disease burden are prone to anxiety and depression.

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Epidemiological features of rosacea in Changsha, China: A population‐based, cross‐sectional study

Cited by 43 publications

References 18 publications

Investigation of thyroid blood tests and thyroid ultrasound findings of patients with rosacea

Investigation of thyroid blood tests and thyroid ultrasound findings of patients with rosacea

A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study

Prevalence and Risk Factors of Anxiety and Depression in Rosacea Patients: A Cross-Sectional Study in China

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