Performance of Outbreak Management Plans for Emerging Plant Diseases: The Case of Almond Leaf Scorch Caused by Xylella fastidiosa in Mainland Spain.

Outbreak response to quarantine pathogens and pests in the European Union (EU) is regulated by the EU Plant Health Law, but the performance of outbreak management plans in terms of their effectiveness and efficiency has been quantified only to a limited extent. As a case study, the disease dynamics of almond leaf scorch, caused by Xylella fastidiosa, in the affected area of Alicante, Spain, were approximated using an individual-based spatial epidemiological model. The emergence of this outbreak was dated based on phylogenetic studies, and official surveys were used to delimit the current extent of the disease. Different survey strategies and disease control measures were compared to determine their effectiveness and efficiency for outbreak management in relation to a baseline scenario without interventions. One-step and two-step survey approaches were compared with different confidence levels, buffer zone sizes, and eradication radii, including those set by the EU legislation for X. fastidiosa. The effect of disease control interventions was also considered by decreasing the transmission rate in the buffer zone. All outbreak management plans reduced the number of infected trees (effectiveness), but large differences were observed in the number of susceptible trees not eradicated (efficiency). The two-step survey approach, high confidence level, and the reduction in the transmission rate increased the efficiency. Only the outbreak management plans with the two-step survey approach removed infected trees completely, but they required greater survey efforts. Although control measures reduced disease spread, surveillance was the key factor in the effectiveness and efficiency of the outbreak management plans. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

Generation of a human induced pluripotent stem cell-based model for tauopathies combining three microtubule-associated protein TAU mutations which displays several phenotypes linked to neurodegeneration.

INTRODUCTION: Tauopathies are neurodegenerative diseases characterized by TAU protein-related pathology, including frontotemporal dementia and Alzheimer's disease among others. Mutant TAU animal models are available, but none of them faithfully recapitulates human pathology and are not suitable for drug screening. METHODS: To create a new in vitro tauopathy model, we generated a footprint-free triple MAPT-mutant human induced pluripotent stem cell line (N279K, P301L, and E10+16 mutations) using clustered regularly interspaced short palindromic repeats-FokI and piggyBac transposase technology. RESULTS: Mutant neurons expressed pathogenic 4R and phosphorylated TAU, endogenously triggered TAU aggregation, and had increased electrophysiological activity. TAU-mutant cells presented deficiencies in neurite outgrowth, aberrant sequence of differentiation to cortical neurons, and a significant activation of stress response pathways. RNA sequencing confirmed stress activation, demonstrated a shift toward GABAergic identity, and an upregulation of neurodegenerative pathways. DISCUSSION: In summary, we generated a novel in vitro human induced pluripotent stem cell TAU-mutant model displaying neurodegenerative disease phenotypes that could be used for disease modeling and drug screening.

Albumin-binding MR blood pool contrast agent improves diagnostic performance in human brain tumour: comparison of two contrast agents for glioblastoma.

OBJECTIVE: We qualitatively and quantitatively compared MRI enhancement obtained with gadofosveset, an albumin-binding blood-pool contrast agent, and with gadobutrol, an extracellular contrast agent, in patients with glioblastoma. METHODS: Thirty-five patients (25 men; 64 ± 14 years) with histologically proven glioblastoma underwent MRI including pre- and post-contrast T1-weighted SE images acquired 5 min after gadobutrol (0.1 mmol/kg) and, 48 h later, images acquired with identical parameters 5 min and 3, 6, and 24 h after gadofosveset (0.03 mmol/kg). Lesion extent, delineation, internal morphology, multifocality, and global diagnostic preference were evaluated quantitatively for the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast enhancement (CE). RESULTS: Mean values of SNR, CNR, and tumour CE were highest 6 h after gadofosveset. Multifocality was seen in 17 (48.6 %) patients; additional lesions had stronger enhancement 6 h after gadofosveset in 12 patients (70.6 %). In 21 (60 %) patients, radiologists' global preference was highest in images acquired 6 h after gadofosveset (kappa = 0.764). In 22 patients (62.8 %), all qualitative endpoints were better at 5 min after gadobutrol than in images acquired 5 min after gadofosveset injection. CONCLUSIONS: Gadobutrol gives significant tumour enhancement in early postcontrast imaging. However, images acquired 6 h after gadofosveset injection have significantly better diagnostic information endpoints and contrast enhancement.

Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks.

Hemorrhagic stroke is the condition involving the rupture of a vessel inside the brain and is characterized by high mortality rates. Even if the patient survives, stroke can cause temporary or permanent disability depending on how long blood flow has been interrupted. Therefore, it is crucial to act fast to prevent irreversible damage. In this work, a deep learning-based approach to automatically segment hemorrhagic stroke lesions in CT scans is proposed. Our approach is based on a 3D U-Net architecture which incorporates the recently proposed squeeze-and-excitation blocks. Moreover, a restrictive patch sampling is proposed to alleviate the class imbalance problem and also to deal with the issue of intra-ventricular hemorrhage, which has not been considered as a stroke lesion in our study. Moreover, we also analyzed the effect of patch size, the use of different modalities, data augmentation and the incorporation of different loss functions on the segmentation results. All analyses have been performed using a five fold cross-validation strategy on a clinical dataset composed of 76 cases. Obtained results demonstrate that the introduction of squeeze-and-excitation blocks, together with the restrictive patch sampling and symmetric modality augmentation, significantly improved the obtained results, achieving a mean DSC of 0.86±0.074, showing promising automated segmentation results.

Laboratory parameters in patients with COVID-19 on first emergency admission is different in non-survivors: albumin and lactate dehydrogenase as risk factors.

Prompt identification of the clinical status and severity of COVID-19 can be a challenge in the emergency department (ED), as the clinical severity of the disease is variable, real-time reverse-transcription PCR (RT-PCR) results may not be immediately available, and imaging findings appear approximately 10 days after the onset of symptoms. There is currently no set of simple, readily available and fast battery of tests that can be used in the ED as prognostic factors. The purpose was to study laboratory test results in patients with COVID-19 at hospital emergency admission and to evaluate the results in non-survivors and their potential prognostic value. A profile of laboratory markers was agreed with the ED providers based on the International Federation of Clinical Chemistry and Laboratory Medicine recommendation of its usefulness, which was made in 218 patients with COVID-19. Non-survivors were significantly older, and the percentage of patients with pathological values of creatinine, albumin, lactate dehydrogenase (LDH), C reactive protein, prothrombin time, D-dimer, and arterial blood gas, PaO2/FIO2 and satO2/FIO2 indices were significantly higher among the patients with COVID-19 who died than those who survived. Patients who died also presented higher neutrophil counts. Among all studied tests, albumin and LDH were independent prognostic factors for death. The results of the study show pathology in nine laboratory markers in patients with COVID-19 admitted in the ED, valuable findings to take into consideration for its prompt identification when there is no immediate availability of RT-PCR results.

Perfusion-CT assessment of infarct core and penumbra: receiver operating characteristic curve analysis in 130 patients suspected of acute hemispheric stroke.

BACKGROUND AND PURPOSE: Different definitions have been proposed to define the ischemic penumbra from perfusion-CT (PCT) data, based on parameters and thresholds tested only in small pilot studies. The purpose of this study was to perform a systematic evaluation of all PCT parameters (cerebral blood flow, volume [CBV], mean transit time [MTT], time-to-peak) in a large series of acute stroke patients, to determine which (combination of) parameters most accurately predicts infarct and penumbra. METHODS: One hundred and thirty patients with symptoms suggesting hemispheric stroke < or =12 hours from onset were enrolled in a prospective multicenter trial. They all underwent admission PCT and follow-up diffusion-weighted imaging/fluid-attenuated inversion recovery (DWI/FLAIR); 25 patients also underwent admission DWI/FLAIR. PCT maps were assessed for absolute and relative reduced CBV, reduced cerebral blood flow, increased MTT, and increased time-to-peak. Receiver-operating characteristic curve analysis was performed to determine the most accurate PCT parameter, and the optimal threshold for each parameter, using DWI/FLAIR as the gold standard. RESULTS: The PCT parameter that most accurately describes the tissue at risk of infarction in case of persistent arterial occlusion is the relative MTT (area under the curve=0.962), with an optimal threshold of 145%. The PCT parameter that most accurately describes the infarct core on admission is the absolute CBV (area under the curve=0.927), with an optimal threshold at 2.0 ml x 100 g(-1). CONCLUSIONS: In a large series of 130 patients, the optimal approach to define the infarct and the penumbra is a combined approach using 2 PCT parameters: relative MTT and absolute CBV, with dedicated thresholds.

Ten years of preanalytical monitoring and control: Synthetic Balanced Score Card Indicator.

INTRODUCTION: Preanalytical control and monitoring continue to be an important issue for clinical laboratory professionals. The aim of the study was to evaluate a monitoring system of preanalytical errors regarding not suitable samples for analysis, based on different indicators; to compare such indicators in different phlebotomy centres; and finally to evaluate a single synthetic preanalytical indicator that may be included in the balanced scorecard management system (BSC). MATERIALS AND METHODS: We collected individual and global preanalytical errors in haematology, coagulation, chemistry, and urine samples analysis. We also analyzed a synthetic indicator that represents the sum of all types of preanalytical errors, expressed in a sigma level. We studied the evolution of those indicators over time and compared indicator results by way of the comparison of proportions and Chi-square. RESULTS: There was a decrease in the number of errors along the years (P<0.001). This pattern was confirmed in primary care patients, inpatients and outpatients. In blood samples, fewer errors occurred in outpatients, followed by inpatients. CONCLUSION: We present a practical and effective methodology to monitor unsuitable sample preanalytical errors. The synthetic indicator results summarize overall preanalytical sample errors, and can be used as part of BSC management system.

Customising turnaround time indicators to requesting clinician: a 10-year study through balanced scorecard indicators.

AIM: The purpose of this study is, first to present a 10-year monitoring of postanalytical turnaround time (TAT) adapted to different clinicians and patient situations, second to evaluate and analyse the indicators results during that period of time, and finally to show a synthetic appropriate indicator to be included in the balanced scorecard management system. METHODS: TAT indicator for routine samples was devised as the percentage of certain key tests that were verified before a specific time on the phlebotomy day. A weighted mean synthetic indicator was also designed. They were calculated for inpatients at 15:00 and 12:00 and for primary care patients only at 15:00. The troponin TAT of emergency department patients, calculated as the difference between the troponin verification and registration time, was selected as the stat laboratory TAT indicator. RESULTS: The routine and stat TAT improved along the 10-year study period. The synthetic indicator showed the same trend. CONCLUSIONS: The implementation of systematic and continuous monitoring over years, promoted a continuous improvement in TAT which will probably benefit patient outcome and safety.

Magnetic resonance imaging in the diagnosis of stroke.

BACKGROUND: The high morbidity and mortality of strokes result in enormous costs to our society. In the last decade advanced imaging techniques with high sensitivity in the diagnosis of acute stroke have been developed. Acute thrombolytic treatment beyond 3 h of acute stroke duration requires the demonstration of penumbra or 'tissue at risk'. However, the utility of the mismatch concept to identify the penumbra area is controversial. OBJECTIVE: The aim is to describe the main features of acute stroke on magnetic resonance imaging. METHOD: Information was obtained from a search of the PubMed and Medline databases (keywords: imaging, stroke, diagnosis and infarct) for articles published from 1997. CONCLUSION: To conclude, new imaging biomarkers of relevant mismatch, hemorrhagic transformation and worse outcome should be developed in the future.

Gastrointestinal schwannomas: CT features with clinicopathologic correlation.

OBJECTIVE: The objective of this study was to describe the CT features of gastrointestinal schwannomas with clinicopathologic correlation. CONCLUSION: Gastrointestinal schwannomas are uncommon mesenchymal neoplasms that are uniquely different tumors from their soft-tissue and central nervous system counterparts. They are homogeneously attenuating, well-defined, mural masses on CT. The lack of low-attenuation hemorrhage, necrosis, and degeneration within the tumor may help distinguish these tumors from gastrointestinal stromal tumors on CT.