Explore the vast range of titles available.

To evaluate ways to improve the generalizability of a deep learning algorithm for identifying glaucomatous optic neuropathy (GON) using a limited number of fundus photographs, as well as the key features being used for classification. A total of 944 fundus images from Taipei Veterans General Hospital (TVGH) were retrospectively collected. Clinical and demographic characteristics, including structural and functional measurements of the images with GON, were recorded. Transfer learning based on VGGNet was used to construct a convolutional neural network (CNN) to identify GON. To avoid missing cases with advanced GON, an ensemble model was adopted in which a support vector machine classifier would make final classification based on cup-to-disc ratio if the CNN classifier had low-confidence score. The CNN classifier was first established using TVGH dataset, and then fine-tuned by combining the training images of TVGH and Drishti-GS datasets. Class activation map (CAM) was used to identify key features used for CNN classification. Performance of each classifier was determined through area under receiver operating characteristic curve (AUC) and compared with the ensemble model by diagnostic accuracy. In 187 TVGH test images, the accuracy, sensitivity, and specificity of the CNN classifier were 95.0%, 95.7%, and 94.2%, respectively, and the AUC was 0.992 compared to the 92.8% accuracy rate of the ensemble model. For the Drishti-GS test images, the accuracy of the CNN, the fine-tuned CNN and ensemble model was 33.3%, 80.3%, and 80.3%, respectively. The CNN classifier did not misclassify images with moderate to severe diseases. Class-discriminative regions revealed by CAM co-localized with known characteristics of GON. The ensemble model or a fine-tuned CNN classifier may be potential designs to build a generalizable deep learning model for glaucoma detection when large image databases are not available.

Backgroud/AimOcular involvement in systemic lupus erythematosus (SLE) is often primarily recognised by ophthalmologists rather than internists. This study aims to investigate the incidence and risk factors for the occurrence of posterior ocular ischaemic events (OIE), including retinal vein occlusion (RVO), retinal artery occlusion (RAO) and ischaemic optic neuropathy (ION), in patients with SLE.MethodsA national database in Taiwan was used to identify 24 472 patients newly diagnosed with SLE and 244 720 age-matched and sex-matched controls between 1997 and 2012. New occurrences of OIE and confounding factors were recorded. The Kaplan-Meier method was used to compare the risk of OIE between the two groups. Fixed effect models were applied to evaluate the risk factors for OIE.ResultsThe mean age was 36.24±15.82 years and women accounted for 88.4%. Patients with SLE had significantly increased risk of overall OIE (HR 3.89, 95% CI 3.36 to 4.50, p<0.001) as well as each OIE subtype. End-stage renal disease (ESRD; HR 2.91, 95% CI 2.05 to 4.14, p<0.001), hypertension (HR 1.77, 95% CI 1.21 to 2.58, p=0.003) and congestive heart failure (HR 1.67, 95% CI 1.12 to 2.48, p=0.01) were associated with RVO development. Hypertension (HR 2.89, 95% CI 1.10 to 3.96, p=0.02) and ischaemic stroke (HR 3.58, 95% CI 1.97 to 6.48, p<0.001) had increased risk of RAO. ESRD was associated with ION (HR 3.03, 95% CI 1.41 to 6.51, p=0.004). Intravenous steroid was associated with RVO development (HR 2.54, 95% CI 1.67 to 3.84, p<0.001).ConclusionsSLE increases the risk of developing OIE. Systemic comorbidities and higher dosage of steroid in patients with SLE are associated with severe ocular ischaemic complications.

BackgroundTo investigate the incidence of and risk factors for bleb-related infection (BRI) in patients who underwent mitomycin C-augmented primary trabeculectomy.MethodsWe reviewed the medical charts of consecutive patients who had received primary trabeculectomy in Taipei Veterans General Hospital. We recorded the demographic and clinical characteristics of patients before, during and after surgery. Furthermore, we recorded the time interval between surgery and infection onset, clinical manifestations and visual outcomes of patients with BRI. The cumulative incidence of BRI was estimated using the Kaplan-Meier method. A Cox proportional hazards model was used to explore factors associated with BRI.ResultsIn total, 1663 eyes were postoperatively followed up for 94.57±65.23 months. The cumulative incidence of BRI was 1.86 per 1000 person-years during the 28-year follow-up period: 24 (1.44%) patients developed BRI and 6 (0.36%) patients additionally developed endophthalmitis. A multivariate analysis revealed a significant association of BRI with wound manipulation, high myopia and hyperlipidaemia. Patients younger than 60 years were more likely to receive wound manipulation than their elderly counterparts (<0.001). One year after BRI, the best corrected visual acuity of the eyes with blebitis did not change significantly, whereas that of the eyes with endophthalmitis worsened significantly.ConclusionRisk factors for BRI after trabeculectomy include wound manipulation, high myopia and hyperlipidaemia. Considering myopia is highly prevalent throughout the world and is a risk factor for glaucoma, the lifelong risk of BRI after trabeculectomy in eyes with high myopia warrants the attention of ophthalmologists.

Increased overpressure from tectonic compression stress (IOTCS) plays a key role in rock deformation, seismic activity, and hydrocarbon migration in sedimentary basins. However, the coupled evolution of stress, strain, and pressure during IOTCS remains unclear. The key parameters in existing quantitative evaluation methods of IOTCS are difficult to obtain accurately. Tectonic compression deformation occurs in three stages: volumetric strain, distortion, and rupture, with IOTCS primarily in the first two stages. We developed a constitutive effective stress model for the Coulomb failure stage, combined with plane stress field simulations, to quantitatively calculate IOTCS. This clarifies the stress–strain–pressure coupling process, and provides a quantitative evaluation model with high applicability and accuracy. Applied to the Dabei Gas Field, the results show: (a) IOTCS ranges from 80 to 220 MPa with a 6% relative error compared to aqueous inclusions pressures, indicating high accuracy; (b) IOTCS limits shear fracture development, leading to high fracture density in low fluid pressure zones; and (c) IOTCS increases the driving force for hydrocarbon migration by 1.8 to 2.1 times compared to non-IOTCS conditions.

High throughput screening is a powerful tool to identify the potential candidate molecules involved during disease progression. However, analysis of complicated data is one of the most challenging steps on the way to obtaining useful results from this approach. Previously, we showed that a specific miRNA, miR-196a, could ameliorate the pathological phenotypes of Huntington's disease (HD) in different models, and performed high throughput screening by using the striatum of transgenic mice. In this study, we further tried to identify the potential regulatory mechanisms using different bioinformatic tools, including Database for Annotation, Visualization and Integrated Discovery (DAVID), Molecular Signatures Database (MSigDB), TargetScan and MetaCore. The results showed that miR-196a dominantly altered \"ABC transporters\", \"RIG-I-like receptor signaling pathway\", immune system\", \"adaptive immune system\",\"tissue remodeling and wound repair\" and \"cytoskeleton remodeling\". In addition, miR-196a also changed the expression of several well-defined pathways of HD, such as apoptosis and cell adhesion. Since these analyses showed the regulatory pathways are highly related to the modification of the cytoskeleton, we further confirmed that miR-196a could enhance the neurite outgrowth in neuroblastoma cells, suggesting miR-196a might provide beneficial functions through the alteration of cytoskeleton structures. Since impairment of the cytoskeleton has been reported in several neuronal diseases, this study will provide not only the potential working mechanisms of miR-196a but also insights for therapeutic strategies for use with different neuronal diseases.

Introduction: Infections are a leading cause of mortality in patients with systemic lupus erythematosus (SLE). Among various infections, invasive fungal infections (IFIs) have a particularly high mortality rate; however, studies examining IFIs in patients with SLE are limited. Methods: Patients diagnosed as having SLE between 1997 and 2012 were enrolled from Taiwan’s National Health Insurance Research Database along with age- and sex-matched non-SLE controls at a ratio of 1:10. IFIs were identified based on International Classification of Diseases, Ninth Revision, Clinical Modification codes and validated by the prescriptions of systemic antifungal agents. The incidence rate (IR), incidence rate ratio (IRR), and all-cause mortality rate of IFIs and its subtypes were analyzed. A Cox multivariate regression model with time-dependent covariates was applied to analyze independent risk factors for IFIs. Results: A total of 24,541 patients with SLE and 245,410 non-SLE controls were included. We observed 445 IFI episodes in the SLE cohort, with an all-cause mortality rate of 26.7%. Candida spp. (52.8%) was the most common pathogen, followed by Cryptococcus spp. (18.2%) and Aspergillus spp. (18.2%). The IR of IFIs in the SLE cohort was 20.83 per 10,000 person-years, with an IRR of 11.1 [95% confidence interval (CI): 9.8–12.6] relative to the non-SLE controls. Juvenile patients with SLE aged ⩽18 years had the highest IRR of 47.2 (95% CI: 26.9–86.8). Intravenous steroid therapy administered within 60 days (hazard ratio: 29.11, 95% CI: 23.30–36.37) was the most critical risk factor for overall IFIs and each of the three major fungal pathogens. Distinct risk factors were found among different IFI subtypes. Conclusion: Patients with SLE had a higher risk of IFIs, especially juvenile patients. Intravenous steroid therapy is the most critical risk factor for IFIs. This study provides crucial information for the risk stratification of IFIs in SLE. Plain Language Summaries Patients with systemic lupus erythematosus and physicians treating this patient group should be aware of the risk of invasive fungal infections. Invasive fungal infections (IFIs) are a severe complication with a high mortality rate among patients with systemic lupus erythematosus (SLE); however, studies on this topic are scant. We performed a nationwide population-based study in Taiwan to estimate the incidence and mortality of and risk factors for IFIs. We found an incidence rate of 20.83 per 10,000 person-years for IFIs, with a mortality rate of 26.7%. Juvenile patients aged ⩽18 years had the highest relative risk of IFIs. Although candidiasis was the most common IFI, cryptococcosis and aspergillosis should be concerned in juvenile patients as well. Intravenous steroid therapy was the most critical risk factor for all IFIs, and different immunosuppressive agents posed different risks in patients for acquiring certain fungal pathogens. Our findings provide pivotal epidemiological information and indicate risk factors for IFIs in patients with SLE. Age and exposure to specific immunosuppressants and steroids might help predict the risk of IFIs. Because the manifestation of these infections is sometimes indistinguishable from a lupus flare, physicians should be aware of this fatal complication, especially when patients are not responsive to immunosuppressive therapy. Early recognition, implication of diagnostic tools, and empirical antimicrobial agents can be the key to treating patients with IFIs. Additional studies are required to develop a risk management program for patients with SLE.

Differentiating glaucoma from myopic eye is a challenge to ophthalmologists. We try to develop a new discrete Fourier transform (DFT) model for analyzing optical coherence tomography data for the circumpapillary retinal nerve fiber layer (cpRNFL), and investigate DFT as a new diagnostic tool for glaucomatous myopic eyes. The thicknesses of 12 equidistant cpRNFL points were transformed into 6 signals in the frequency domain, ranging from 1 to 6 Hz. In all 232 eyes, generalized linear model showed that 1 Hz, 2 Hz, and 4 Hz were associated with glaucoma, high myopia, and the interaction between glaucoma and high myopia. The 3 Hz signal was associated with glaucoma and high myopia exclusively. A receiver operating characteristic curve analysis of the 3 Hz signals showed areas under the curves of 0.93 (95% CI 0.90–0.96) and 0.93 (95% CI 0.88–0.98), for diagnosing glaucoma in all subjects and in the highly myopic group, respectively. The DFT model is useful to differentiate glaucoma from non-glaucomatous change and showed potential as a diagnostic tool for glaucomatous myopic eyes.

Background/Aims: Huntington’s disease (HD) is a heritable neurodegenerative disorder, and there is no cure for HD to date. A type of fibroblast growth factor (FGF), FGF9, has been reported to play prosurvival roles in other neurodegenerative diseases, such as Parkinson’s disease and Alzheimer’s disease. However, the effects of FGF9 on HD is still unknown. With many similarities in the cellular and pathological mechanisms that eventually cause cell death in neurodegenerative diseases, we hypothesize that FGF9 might provide neuroprotective functions in HD. Methods: In this study, STHdh Q7/Q7 (WT) and STHdh Q111/Q111 (HD) striatal knock-in cell lines were used to evaluate the neuroprotective effects of FGF9. Cell proliferation, cell death and neuroprotective markers were determined via the MTT assay, propidium iodide staining and Western blotting, respectively. The signaling pathways regulated by FGF9 were demonstrated using Western blotting. Additionally, HD transgenic mouse models were used to further confirm the neuroprotective effects of FGF9 via ELISA, Western blotting and immunostaining. Results: Results show that FGF9 not only enhances cell proliferation, but also alleviates cell death as cells under starvation stress. In addition, FGF9 significantly upregulates glial cell line-derived neurotrophic factor (GDNF) and an anti-apoptotic marker, Bcl-xL, and decreases the expression level of an apoptotic marker, cleaved caspase 3. Furthermore, FGF9 functions through ERK, AKT and JNK pathways. Especially, ERK pathway plays a critical role to influence the effects of FGF9 toward cell survival and GDNF production. Conclusions: These results not only show the neuroprotective effects of FGF9, but also clarify the critical mechanisms in HD cells, further providing an insight for the therapeutic potential of FGF9 in HD.

Background To evaluate the diagnostic ability of macular ganglion cell asymmetry to diagnose preperimetric glaucoma (PPG), using Cirrus spectral domain optical coherence tomography (OCT). Methods This prospective study included 67 eyes of 67 patients with PPG and 67 eyes of 67 age- and refractive error-matched controls. We measured circumpapillary RNFL (cpRNFL) thickness, macular ganglion cell-inner plexiform layer (GCIPL) thickness and optic nerve head (ONH) parameters using OCT. Macular ganglion cell asymmetries were expressed as absolute difference and ratios between inferior hemisphere and superior hemisphere, inferotemporal (IT) and superotemporal (ST), IT and superonasal (SN), IT and inferonasal (IN), ST and IN as well as temporal and nasal. An asymmetry index was assigned by taking the absolute value of log 10 of the ratio. The area under the receiver operating characteristics curve (AUROC), partial AUROC (pAUROC) ≥ specificities 90 and 95%, cutoff values and sensitivities at specificities 90 and 95% was analyzed. Results Parameters with largest AUROCs were IT GCIPL thickness (0.784), average RNFL thickness (0.767), and average C/D (0.746). For macular asymmetry parameters, log IT/SN index had the largest AUROC (0.734), followed by log IT/IN index (0.725), and absolute difference of IT−SN GCIPL thickness (0.715). Performance was comparable between the best measures of asymmetry analysis (log IT/SN index) and those of cpRNFL, GCIPL, and ONH parameters (all P  > 0.05). The IT/SN asymmetry index not only had the largest pAUROC based on the pAUROCs ≥90 and 95% specificity (0.044 and 0.019) but also had the highest diagnostic sensitivity at 90 and 95% specificities (52.2 and 46.3%). Conclusions GCIPL asymmetry measurements have diagnostic ability comparable to cpRNFL, GCIPL, and ONH analysis for PPG. The best macular ganglion cell asymmetry parameter was IT/SN asymmetry index, which could be a new parameter to detect early structural changes in PPG.

Chronic obstructive pulmonary disease (COPD) is a progressive respiratory condition that significantly impacts patients' health status. Effective management requires a multidisciplinary team (MDT) to address pharmacological and non- pharmacological treatments. The integration of mobile apps and devices improves COPD management by reducing symptoms and exacerbations. LINE, a commonly used communication app, enhanced team coordination and real-time decision-making. This study explored the effectiveness of LINE-based MDT interventions in hospitalized patients with COPD. This retrospective analysis included patients with COPD admitted for exacerbations and compared their outcomes before and after the implementation of LINE-based MDT care. The MDT consisted of pulmonologists, care managers, nurses, dietitians, social workers, pharmacists, respiratory therapists, and long-term care teams. A LINE group coordinated care in real-time, enabling the team to promptly review the patients' conditions, adjust treatment plans, and provide tailored interventions. The LINE-based MDT group demonstrated significantly higher intervention rates, including systemic steroids, inhaled corticosteroids, long-acting beta-agonists, long-acting muscarinic antagonists, and pulmonary rehabilitation (p<0.05). BSRS improvement was greater in the MDT group than the non-MDT group (40.9% vs 29.7%, p = 0.016). However, there were no significant differences between the groups' readmission rates, emergency room visits, or one year survival (p>0.05). Implementing LINE-based MDT care significantly improved the delivery of pharmacological and non-pharmacological interventions, enhanced coordination, and facilitated comprehensive management, leading to better quality of life outcomes, as evidenced by improvements in BSRS scores. This highlights the value of leveraging real-time communication tools like LINE app to optimize COPD care.