Objective To explore the clinical features of nephrotic syndrome combined with H1N1 influenza. Methods The clinical manifestations, laboratory and image examinations, treatment, and prognosis of nephrotic syndrome combined H1N1 influenza were retrospectively analyzed in 15 children with. Results All of 15 children with nephrotic syndrome met the diagnostic criteria of H1N1 influenza. The median age of all children was 4-year-8-month old (2-year-2-month to 6-year-9-month). All children were treated with hormone alone or combined with other immunosuppressive drugs. Three cases were severe and another 5 cases were critically ill. Four cases were complicated with recurrence of nephrotic syndrome, 2 of which suffered from acute renal insufficiency. All children were given oseltamivir as antiviral treatment at admission. Four cases took oseltamivir within 48 hours of onset and showed mild symptoms. Fourteen children with H1N1I influenza were cured, their urinary proteins were significantly decreased or converted to negative, and the median hospital stay was 8 days (1 to 25 days). One child died of acute necrotizing encephalopathy and brain herniation. Conclusions Children with nephrotic syndrome are susceptible to severe or critical H1N1 influenza infections. During the epidemic of H1N1 influenza, the clinical preventive measures should be taken in children with nephrotic syndrome.

OBJECTIVE: To explore the clinical features and genetic basis for a patient with hereditary hypophosphatemic rickets with hypercalciuria(HHRH). METHODS: Clinical data of the patient was collected. The patient was subjected to whole exome capture and next generation sequencing (NGS). Suspected variants were verified by Sanger sequencing. RESULTS: The patient presented with hypophosphatemic rickets, short stature, hypercalciuria, and renal stones. NGS showed that he has carried compound heterozygous variants of the SLC34A3 gene, namely c.532_533delCA(p.Q178Vfs*6) and c.894_925+69del(splicing). His parents were asymptomatic heterozygous carriers of one of the variants. Based on ACMG guidelines, both variants were classified as pathogenic. CONCLUSION The compound heterozygous variants c.532_533delCA (p.Q178Vfs*6) and c.894_925+69del(splicing) of the SLC34A3 gene probably underlie the disease in this child. Above finding has enriched the variant spectrum for HHRH. Based on the results, prenatal diagnosis may be provided for the family.

Objective: To develop a method for generating three-dimensional (3D) digital models of the periodontal ligament (PDL) using 3D cone-beam computed tomography (CBCT) reconstruction and to evaluate the accuracy and agreement of the 3D PDL models in the measurement of periodontal bone loss. Methods: CBCT data collected from four patients with skeletal Class III malocclusion prior to periodontal surgery were reconstructed at three voxel sizes (0.2 mm, 0.25 mm, and 0.3 mm), and 3D tooth and alveolar bone models were generated to obtain digital PDL models for the maxillary and mandibular anterior teeth. Linear measurements of the alveolar bone crest obtained during periodontal surgery were compared with the digital measurements for assessment of the accuracy of the digital models. The agreement and reliability of the digital PDL models were analyzed using intra- and interexaminer correlation coefficients and Bland–Altman plots. Results: Digital models of the maxillary and mandibular anterior teeth, PDL, and alveolar bone of the four patients were successfully established. Relative to the intraoperative measurements, linear measurements obtained from the 3D digital models were accurate, and there were no significant differences among different voxel sizes at different sites. High diagnostic coincidence rates were found for the maxillary anterior teeth. The digital models showed high intra- and interexaminer agreement. Conclusions Digital PDL models generated by 3D CBCT reconstruction can provide accurate and useful information regarding the alveolar crest morphology and facilitate reproducible measurements. This could assist clinicians in the evaluation of periodontal prognosis and establishment of an appropriate orthodontic treatment plan.

In the field of dental aesthetics,digital aesthetic design plays a crucial role in helping dentists to predict treatment outcomes vis-ually,as well as in enhancing the consistency of knowledge and understanding of aesthetic goals between dentists and patients.It serves as the foundation for achieving ideal aesthetic effects.However,there is no clear standard for this digital process currently in China and abroad.Many dentists lack of systematic understanding of how to carry out digital aesthetic design for treatment.To establish standardized processes for dental aesthetic design and to improve the homogeneity of treatment outcomes,Chinese Society of Digital Dental Industry(CSD-DI)convened domestic experts in related field to compile this consensus.This article elaborates on the key aspects of digital aesthetic data collection,integration steps,and the digital aesthetic design process.It also formulates a decision tree for dental aesthetics at macro level and outlines corresponding workflows for various clinical scenarios,serving as a reference for clinicians.