AFD-Net: Apple Foliar Disease Multi Classification using Deep Learning on Plant Pathology Dataset

Plant diseases significantly affect the crop, so their identification is very important. Correct identification of these diseases is crucial for establishing a good disease control strategy to avoid time and financial losses. In general, machines can greatly reduce the possibility of human error. In particular, computer vision techniques developed through deep learning have paved a way to detect and diagnose these plant diseases on the leaf. In this work, the model AFD-Net was developed to detect and identify various leaf diseases in apple trees. The dataset is from Kaggle 2020 and 2021 and was financially supported by the Cornell Initiative for Digital Agriculture. A AFD-Net was proposed for leaf disease classification in apple trees and the results of the efficiency of the model are compared with other state-of-the-art deep learning approaches. The results of the experiments in the validation dataset show that the proposed AFD-Net model achieves the highest values compared to other deep learning models in the original and extended datasets with 98.7% accuracy for Plant Pathology 2020 and 92.6% for Plant Pathology 2021.

Coexistence of T-Large Granular Lymphocyte Leukemia and Peripheral T Cell Lymphoma-NOS with indolent behaviour

T-cell lymphomas and leukemias are highly heterogeneous groups of rare disorders. We report a case of a 68-year-old man patient who develops two different T-cell neoplasms (Large Granular Lymphocyte Leukemia [LGLL] in 2018 and Peripheral T-cell non-Hodgkin lymphoma not otherwise specified [PTCL-NOS] in 2019) with a previous diagnosis of B-cell marginal zone lymphoma in 2010, treated with two lines of chemo-immunotherapy. The coexistence of these different T-cell neoplasms is rarely reported in literature and, moreover, is usually described as an LGLL transformation into PTCL-NOS; differently from these examples, herein the simultaneous conditions appear to be driven by different T-cell clones. Furthermore, the PTCL-NOS had a quite unusual behaviour, with a good disease control without intensive treatment. Because of these features, it could belong to a subgroup of indolent PTCL-NOS, not yet described in the WHO classification of T-cell neoplasms, which could benefit of less aggressive treatment.

Prevalence of sleep disturbance and the association between poor disease control in people with ankylosing spondylitis within the Australian clinical setting (ASLEEP study): a real-world observational study using the OPAL dataset

Introduction Sleep disturbance and fatigue are commonly reported in ankylosing spondylitis (AS) but specific prevalence and the relationship to disease control are unknown. Method This retrospective non-interventional observational study of data from the OPAL dataset included patients with AS (ICD code M45, M45.0 or M08.1), aged 18 to 95 years and had completed ≥ 1 sleep questionnaire between 1 January 2019 and 30 September 2020. The prevalence of insomnia and obstructive sleep apnoea were assessed using the Insomnia Severity Index (ISI) and Multivariate Apnoea Prediction Index (MAPI), respectively. Propensity score (PS) matching based on sex, age and symptom duration increased comparability between patients administered tumour necrosis factor inhibitors (TNFi) and interleukin 17A inhibitors (IL-17Ai). Results Four hundred ninety-five patients were included. The mean ISI total score in the overall population was 8.6 ± 6.2. Self-reported moderate or severe clinical insomnia was present in 16% and 3.2% of patients, respectively. The mean MAPI score was 0.4 ± 0.3, self-reported apnoea was identified in 31.5% of patients and the mean FACIT-Fatigue score was 36.1 ± 10.7. In the PS matched population, the only treatment-related difference was the mean MAPI score (IL-17Ai 0.4 ± 0.3 and TNFi 0.3 ± 0.2, p = 0.046). Those with poor disease control (BASDAI ≥ 4) were more likely (odds ratio [OR] 7.29, 95% CI 2.37 to 22.46, p = 0.001) to have a greater severity of insomnia symptoms than those with good disease control. Conclusion In this real-world AS cohort, poor disease control was associated with sleep disturbance. Little difference in sleep disturbance was observed between biologic TNFi and IL-17Ai treatment. Key Points • Sleep disturbance and fatigue are common in patients with ankylosing spondylitis.• In our real-world cohort, self-reported apnoea was reported in one-third of patients; and one in five patients reported moderate to severe insomnia.• Those with poor disease control were more likely to experience greater sleep disturbance than those with good disease control.

Development and evaluation of a decision prediction tool for the reduction of fungicide applications for the control of strawberry powdery mildew epidemics

Strawberry powdery mildew (Podosphaera aphanis) causes serious losses in UK crops, potentially reducing yields by as much as 70%. Consequently, conventional fungicide application programmes tend to recommend a prophylactic approach using insurance sprays, risking the development of fungicide insensitivity and requiring careful management relative to harvest periods to avoid residual fungicides on harvested fruit. This paper describes the development of a prediction system to guide the control of P. aphanis by the application of fungicides only when pathogen infection and disease progression are likely. The system was developed over a 15-year period on commercial farms starting with its establishment, validation and then deployment to strawberry growers. This involved three stages: 1. Identification and validation of parameters for inclusion in the prediction system (2004-2008). 2. Development of the prediction system in compact disc format (2009-2015). 3. Development and validation of the prediction system in a web-based format and cost-benefit analysis (2016-2020). The prediction system was based on the temporal accumulation of conditions (temperature and relative humidity) conducive to the development of P. aphanis , which sporulates at 144 accumulated disease-conducive hours. Sensitivity analysis was performed to refine the prediction system parameters. Field validation of the results demonstrated that to effectively control disease, the application of fungicides was best done between 125 and 144 accumulated hours of disease-conducive conditions. A cost-benefit analysis indicated that, by comparison with the number and timing of fungicide applications in conventional insurance disease control programmes, the prediction system enabled good disease control with significantly fewer fungicide applications (between one and four sprays less) (df=7, t=7.6, p =0.001) and reduced costs (savings between £35-£493/hectare) (df=7, t=4.0, p =0.01) for the growers.

Treatment journey in rheumatoid arthritis with biosimilars: from better access to good disease control through cost savings and prevention of nocebo effects

Early diagnosis and treatment of rheumatoid arthritis (RA) are of critical importance to halt the progression of the disease. Optimal use of advanced imaging techniques or biomarkers may facilitate early diagnosis of RA. Even though many disease-modifying anti-rheumatic drugs (DMARDs) are available for RA treatment, biological DMARDs (bDMARDs) offer expanding therapeutic options and good outcomes in patients with RA who do not have a sufficient response to conventional synthetic DMARDs. However, high costs of bDMARDs have limited patient access to optimised disease management and increased the cost burden for healthcare systems. The advent of biosimilars led to significant cost savings driven by price competition among the reference products, which could be beneficial for healthcare systems. Healthcare provider (HCP)–patient communication and informed shared decision-making are crucial to prevent the occurrence of a nocebo effect, which results from negative perceptions that patients may have and could lead to less effective outcomes. Research has demonstrated that effective communication between HCPs and patients utilising positive framing can improve acceptance by patients to be initiated on or switched to a biosimilar and can help to integrate biosimilars into routine clinical practice to maximise benefits for patients with RA.

The role of 14-3-3 η as a biomarker in rheumatoid arthritis

Rheumatoid arthritis (RA) is a chronic multisystem inflammatory disorder with significant morbidity and mortality. Making an early diagnosis and providing appropriate treatment decisions based on clinical and other parameter results in good disease control. Biomarkers, such as C reactive protein (CRP), anti-cyclic citrullinated peptides (anti-CCP), and erythrocyte sedimentation rate (ESR), have been traditionally used. Recently novel biomarkers are described. This article reviews the evidence behind a novel biomarker 14-3-3 η that has been found to provide additional diagnostic and prognostic information as well as predicting response to treatment. A systematic literature review is presented showing the evidence behind this molecule.

The Impact of the Off-site Monitoring Clinic (Virtual Monitoring Clinic) on the Practice of Outpatient Rheumatology in a Tertiary Centre during the COVID-19 Pandemic

The ongoing pandemic in Singapore is part of a global pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To control the spread of COVID-19 and prevent the healthcare system from being overwhelmed, ‘circuit breaker’ measures were introduced between 7 April and 1 June 2020 in Singapore. There is thus a crucial need for innovative approaches to the provision and delivery of healthcare in the context of safe-distancing by harnessing telemedicine, especially for patients with chronic diseases who have traditionally been managed in tertiary institutions. We present a summary of how the Virtual Monitoring Clinic has benefited the practice of our outpatient rheumatology service during the COVID-19 pandemic. The virtual consultations address the need for safe-distancing by limiting face-to-face appointments and unnecessary exposure of patients to the hospital where feasible. This approach ensures that the patients are monitored appropriately for drug toxicities and side-effects, maintained on good disease control, and provided with patient education. Keywords: Chronic rheumatic diseases, health services, medication delivery service, severe acute respiratory syndrome coronavirus 2, telemedicine

Predictors of Disease Control After Endoscopic Sinus Surgery Plus Long-Term Local Corticosteroids in CRSwNP

Background in the era of new biological agents it is important to identify patients who may benefit from conventional therapies such as endoscopic sinus surgery (ESS) plus long-term local corticosteroids from those with patterns of inflammation that are more difficult to control post-operatively and who may benefit from other therapies. Objective determine if preoperative assessment of type and grade of inflammation and clinical factors can predict disease control with ESS plus long-term local corticosteroids in chronic rhinosinusitis with nasal polyps (CRSwNP). Methods Eighty patients treated with ESS plus mometasone-furoate 200 μg BID for CRSwNP and followed for at least 1 year were enrolled (November 2017–December 2018) in this prospective observational study. Type and grade of inflammation were evaluated preoperatively by nasal cytology. Based on cellular pattern, patients were grouped as neutrophilic (n = 20), eosinophilic (n = 38), or mixed eosinophil-neutrophilic (n = 22). SNOT-22 and Lund-Kennedy Endoscopic Score were evaluated at baseline and at 3, 6, 9, and 12 months after surgery and used to define disease control. Results The cumulative probability of remaining free of significant modification of endoscopic score (Lund-Kennedy Endoscopic Score >2) at 3, 6, 9, and 12 months was 0.84, 0.76, 0.71, and 0.68, respectively. At 12-month postoperative evaluation good disease control was observed in 54 of 80 patients (67.5%). Compared to those with good post-operative disease control, those with poor control had a significantly higher pre-operative mean count of eosinophils and neutrophils (p < 0.05). The preoperative inflammatory pattern was associated with relative risk of poor control: neutrophilia (RR: 3.10; CI:1.24–7.71), eosinophilia (RR:8.42; CI:2.72–15.12), and mixed eosinophilic and neutrophilic (RR:25.11; CI:19.41–30.01). We also confirmed that asthma, allergy, blood eosinophilia, and ASA triad could predict poor control. Conclusions The type and load of inflammation evaluated preoperatively and selected clinical factors can predict poor control of CRSwNP treated with ESS and local corticosteroids.

Remission, low disease activity and improvement of pain and function in psoriatic arthritis patients treated with IL-12/23 and IL-17 inhibitors. A multicenter prospective study

The development of new biologic and targeted synthetic DMARDs can lead to good disease control. The aim of the present study was to assess the rate of remission and low disease activity, and the improvement of pain and function, in psoriatic arthritis (PsA) patients treated with new anti-IL-12/23 and anti-IL-17 biologic agents. A prospective 6-month study was performed. Patients fulfilling the CASPAR criteria for PsA that started ustekinumab, secukinumab and ixekizumab were enrolled and prospectively followed in a setting of clinical practice. Patients were considered in minimal disease activity (MDA), when they met at least 5/7 of the criteria previously defined. DAPSA score ≤4 was also evaluated as a remission criterion. Pain on VAS, PtGA and HAQ were also assessed in all patients. Patients achieving MDA were compared to non-MDA to identify outcome predictive factors. Of the 70 patients treated with ustekinumab, secukinumab and ixekizumab, at baseline, no patients were in MDA or had a DAPSA score ≤4. Ten patients (14.2%) were lost during the follow-up. After 6 months, MDA was achieved in 22 (31.4%) patients. DAPSA≤4 was achieved in 17 (24.2%) patients. Significant improvement in pain, PtGA and HAQ was also found. Patients naïve to anti-TNF treatment achieved more frequently MDA compared to anti-TNF-experienced patients. Male sex, high levels of CRP and absence of comorbidities were found to be predictors of MDA. In our prospective observational study, MDA was achieved in 31.4% and DAPSA remission in 24.2% of patients treated with inhibitors of IL-12/23 and IL-17, thus making this target achievable in PsA patients treated with these drugs.

P208 A multidisciplinary approach to reproductive healthcare in women with rheumatic disease

Background Rheumatic disease (RD) patients when family planning must consider fertility, disease activity, and management from preconception to lactation. A clear understanding is necessary, especially for those receiving disease-modifying antirheumatic medications. Previous studies have highlighted unmet needs in the care of women with RDs with reproductive healthcare needs. This study describes, to our knowledge, the first published standardised reproductive care pathway for women with RDs and the outcomes of this approach. Methods We developed the care pathway with multidisciplinary input from rheumatologists, rheumatology nurse specialists, obstetricians, midwives, maternal medicine specialists, and pharmacists. We identified patients’ emotional and healthcare needs, ensured access to expert advice, maintenance of good disease control, and positive reproductive outcomes. We prospectively followed the patients and report the results of the service. Results Ninety-eight women with median age (range) of 35 years (19-48) were assessed. The majority had an inflammatory arthritis. Seventy-six babies were born to 62 mothers. There were 12 miscarriages and one perinatal death. Breastfeeding rates at 6 weeks were low (28%). Conclusion We describe the first published evidence-based integrated multidisciplinary reproductive care pathway for women with RDs and the results of this approach. Seventy percent of women successful in trying to conceive delivered a healthy baby, and 90% of patients were ‘very satisfied’ with the service. Disclosures K. Murray: None. L. Moore: None. C. O'Brien: None. A. Clohessy: None. C. Brophy: None. F. McAuliffe: None. D. Veale: None.