Prevalence of atopic dermatitis (AD) is increasing worldwide. Up to date, there has been no face-to-face nation-wide study in China. We aim to explore the prevalence of clinical diagnosed AD in children aged 1–7 ys in China. Twelve metropolises were chosen from different areas of China. In each region, we selected 4–10 kindergartens and 2–5 vaccination clinics randomly. A complete history-taking and skin examination were performed by dermatologists. The definite diagnosis of AD and the severity were determined by two or three dermatologists. All criteria concerned in UK diagnosis criteria, characteristic presentation of AD and atypical manifestations were recorded in detail. A total of 13998 children from 84 kindergartens and 40 vaccination clinics were included. The prevalence of AD was 12.94% by clinical diagnosis of dermatologists overall, with 74.6% of mild AD. Comparatively, prevalence of AD based on UK diagnostic criteria was 4.76%. This is the first face-to-face nation-wide study in Chinese children aged 1–7 ys, revealing that the prevalence of AD in children is closer to that of wealthier nations.

Background In previous epidemiological study, the prevalence of atopic dermatitis (AD) was 12.94% among children aged 1–7 years by clinical diagnosis, whereas that was 4.76% and 3.51% using U.K., and Hanifin and Rajka diagnostic criteria. Objective We aimed to propose new diagnostic criteria for children and evaluate its efficiency in different populations. Methods We screened atopic features and analysed their correlation with AD using data from a previous study. A new set of diagnostic criteria for children in China was proposed and validated in 1031 children in outpatient clinics and 538 children in a birth cohort survey. Clinical diagnosis and atopic feature evaluation were performed face to face by dermatologists specialized in AD. Three criteria were compared for diagnostic efficiency using the clinical diagnosis as the reference. Results The new diagnostic criteria for children were based on (i) pruritus; (ii) ‘typical morphology and distribution’ or ‘atypical morphology and distribution with xerosis’; and (iii) a chronic or chronically relapsing course. Compared to classical diagnostic criteria, the sensitivity of the new diagnostic criteria was significantly higher in the epidemiological survey and the clinical setting, especially obvious among mild and moderate AD. In the birth cohort, the new criteria showed similar sensitivity and specificity. Conclusion The new criteria for children yielded higher sensitivity for the diagnosis of AD in the epidemiological survey and clinical setting, particularly for mild and moderate AD. Among the birth cohort with a complete medical history, three criteria showed similar sensitivity and specificity.

Lipoid proteinosis is caused by loss-of-function mutations in the glycoprotein extracellular matrix protein 1 (ECM1). We report here mutation analysis of the ECM1 gene in a Chinese family with lipoid proteinosis. A 10-year-old boy presented with a hoarse voice, acneiform scars and yellow skin nodules, as well as beaded eyelid papules and a thickened sublingual frenulum. Skin biopsy showed widespread deposition of hyaline material in the dermis and thickened basement membrane. His elder sister had the same clinical manifestations. The coding region of ECM1 was amplified and sequenced and both affected siblings were shown to have a novel homozygous single nucleotide substitution, c.658T>G, in exon 6, which converts cysteine to glycine, designated p.C220G. Both parents were heterozygous for this mutation which was not detected in 100 control chromosomes. Missense mutations in the ECM1 gene are an unusual finding in lipoid proteinosis, but this case adds to the spectrum of disease-associated mutations in this rare genodermatosis.

In this paper, we studied a SLAM method for vector-based road structure mapping using multi-beam LiDAR. We propose to use the polyline as the primary mapping element instead of grid cell or point cloud, because the vector-based representation is precise and lightweight, and it can directly generate vector-based High-Definition (HD) driving map as demanded by autonomous driving systems. We explored: 1) the extraction and vectorization of road structures based on local probabilistic fusion. 2) the efficient vector-based matching between frames of road structures. 3) the loop closure and optimization based on the pose-graph. In this study, we took a specific road structure, the road boundary, as an example. We applied the proposed matching method in three different scenes and achieved the average absolute matching error of 0.07 m. We further applied the mapping system to the urban road with the length of 860 meters and achieved an average global accuracy of 0.466 m without the help of high precision GPS.

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