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Introduction: Patients with knee osteoarthritis (KOA) often complain about clinical symptoms affected by weather-related factors. The purpose of the present study was to use cross-sectional analysis to determine whether weather sensitivity was associated with clinical symptoms, as well as structure abnormalities, in KOA patients. Methods: Data from 80 participants were obtained from the Feng Hans Shi Effects on OA (FHS) study, an OA cohort study initiated in China in 2015. The weather sensitivity of each participant was determined by a self-reported questionnaire. The following measurements were used to assess clinical outcomes: Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for symptoms, and semi-quantitative Whole-Organ Magnetic Resonance Imaging Score (WORMS) for cartilage defects and marrow abnormalities of magnetic resonance imaging (MRI). Chi-square with Cochran–Armitage test for trend and regression analysis were used to evaluate the associations between weather sensitivity and WOMAC and WORMS of KOA patients. Results: Most of the KOA participants (57.5%) perceived the weather as affecting their knee-joint clinical symptoms. After adjusting for age, gender, and body mass index (BMI), weather sensitivity was not only associated with knee pain [OR = 3.3 (95% CI 1.1, 9.9), P = 0.032], dysfunction [OR = 5.5 (95% CI 1.8, 16.8), P = 0.003], and overall clinical symptoms [OR = 3.3 (95% CI 1.1, 10.2), P = 0.034], but also associated with cartilage defect [OR = 3.1 (95% CI 1.1, 8.5), P = 0.027] and marrow abnormality [OR = 3.0 (95% CI 1.1, 8.1), P = 0.029]. Conclusions: In KOA patients, weather sensitivity was associated with clinical symptoms and structural abnormalities. Future longitudinal study is warranted for the causal relationship. Infographic: [ABSTRACT FROM AUTHOR]

This article was to explore the application of deep learning algorithms in the classification and diagnosis of deep pelvic endometriosis (DPE) by ultrasound and magnetic resonance imaging (MRI). Vaginal ultrasound (VU) and MRI images of 118 patients with DPE and 206 patients with other gynaecological diseases who were treated in our hospital from January 2015 to January 2018 were analysed. Firstly, the global average pooling (GAP) was introduced based on the visual geometry group (VGG) network to design the VGG-GAP model for VU image recognition. Next, the C3D model was improved as the IC3D model for MRI image recognition. The diagnostic values of patients with DPE based on classified VU and MRI images were compared and analysed. The results revealed that the classification accuracy of the VGG-GAP model in the VU image was 96.5%, and the classification accuracy of the IC3D model in the MRI image was 99.2%. The diagnosis accuracy using VU images and MRI images was 90.68% and 92.37%, respectively. Based on this, the classification of VU or MRI images based on deep learning algorithms could provide a basis for improving the diagnosis efficiency of DPE. The value of MRI in the diagnosis of DPE was significantly higher than that of VU. [ABSTRACT FROM AUTHOR]

Background: Maturity-onset Diabetes of the Young type 5 (MODY5) is clinically heterogeneous, and the genetic examination is important to provide the accurate diagnosis. Identification of more cases will better understand the genotype-phenotype correlations of this disorder. Methods: We collected the clinical and biochemical data, using the whole-exome gene detection and multiplex ligation–dependent probe Amplification to detect the pathogenic gene variants. Results: The proband is a 39-year-old female, and presenting with symptoms including polyuria, polydipsia, and weight loss for 6 months. Her BMI was 17.6 kg/m2. Laboratory tests indicated hypokalemia (3.1 mmol/L), hypomagnesemia (0.4 mmol/L), and hypocalcemia (1.91 mmol/L). Glycated hemoglobin (HbA1c) was 13.7%, fasting C-peptide was 0.24 ng/mL (normal range: 0.3–3.73 ng/mL). Both glutamic acid decarboxylase and islet cell antibodies were negative. Abdominal magnetic resonance image showed the agenesis of the tail and body of the pancreas and the presence of disseminated cysts of the left kidney. Genetic examination displayed a de novo heterozygous deletion of the whole HNF-1Β gene (NM_000458.3). Three-year follow-up after the diagnosis showed that the patient has sustained hypomagnesemia and cannot maintain an appreciable increase in serum magnesium levels (0.52–0.61 mmol/L), although she was using the double-dose magnesium aspartate. Moreover, she cannot achieve good glucose control either. Conclusion: Our findings indicted that MODY is highly heterogeneous and patients with additional extrapancreatic clinical features and hypomagnesemia should be screened for MODY5. [ABSTRACT FROM AUTHOR]