SARS-CoV-2 RNA Detection in Wastewater and Its Effective Correlation with Clinical Data during the Outbreak of COVID-19 in Salamanca.

Wastewater treatment plants (WWTPs) are the final stage of the anthropogenic water cycle where a wide range of chemical and biological markers of human activity can be found. In COVID-19 disease contexts, wastewater surveillance has been used to infer community trends based on viral abundance and SARS-CoV-2 RNA variant composition, which has served to anticipate and establish appropriate protocols to prevent potential viral outbreaks. Numerous studies worldwide have provided reliable and robust tools to detect and quantify SARS-CoV-2 RNA in wastewater, although due to the high dilution and degradation rate of the viral RNA in such samples, the detection limit of the pathogen has been a bottleneck for the proposed protocols so far. The current work provides a comprehensive and systematic study of the different parameters that may affect the detection of SARS-CoV-2 RNA in wastewater and hinder its quantification. The results obtained using synthetic viral RNA as a template allow us to consider that 10 genome copies per µL is the minimum RNA concentration that provides reliable and consistent values for the quantification of SARS-CoV-2 RNA. RT-qPCR analysis of wastewater samples collected at the WWTP in Salamanca (western Spain) and at six pumping stations in the city showed that below this threshold, positive results must be confirmed by sequencing to identify the specific viral sequence. This allowed us to find correlations between the SARS-CoV-2 RNA levels found in wastewater and the COVID-19 clinical data reported by health authorities. The close match between environmental and clinical data from the Salamanca case study has been confirmed by similar experimental approaches in four other cities in the same region. The present methodological approach reinforces the usefulness of wastewater-based epidemiology (WBE) studies in the face of future pandemic outbreaks.

Automatic landmark identification in cone-beam computed tomography.

OBJECTIVE: To present and validate an open-source fully automated landmark placement (ALICBCT) tool for cone-beam computed tomography scans. MATERIALS AND METHODS: One hundred and forty-three large and medium field of view cone-beam computed tomography (CBCT) were used to train and test a novel approach, called ALICBCT that reformulates landmark detection as a classification problem through a virtual agent placed inside volumetric images. The landmark agents were trained to navigate in a multi-scale volumetric space to reach the estimated landmark position. The agent movements decision relies on a combination of DenseNet feature network and fully connected layers. For each CBCT, 32 ground truth landmark positions were identified by 2 clinician experts. After validation of the 32 landmarks, new models were trained to identify a total of 119 landmarks that are commonly used in clinical studies for the quantification of changes in bone morphology and tooth position. RESULTS: Our method achieved a high accuracy with an average of 1.54 ± 0.87 mm error for the 32 landmark positions with rare failures, taking an average of 4.2 second computation time to identify each landmark in one large 3D-CBCT scan using a conventional GPU. CONCLUSION: The ALICBCT algorithm is a robust automatic identification tool that has been deployed for clinical and research use as an extension in the 3D Slicer platform allowing continuous updates for increased precision.

Presurgical orthodontic decompensation with clear aligners.

INTRODUCTION: Orthodontists, surgeons, and patients have taken an interest in using clear aligners in combination with orthognathic surgery. This study aimed to evaluate the accuracy of tooth movements with clear aligners during presurgical orthodontics using novel 3-dimensional superimposition techniques. METHODS: The study sample consisted of 20 patients who have completed presurgical orthodontics using Invisalign clear aligners. Initial (pretreatment) digital dental models, presurgical digital dental models, and ClinCheck prediction models were obtained. Presurgical models were superimposed onto initial ones using stable anatomic landmarks; ClinCheck models were superimposed onto presurgical models using surface best-fit superimposition. Five hundred forty-five teeth were measured for 3 angular movements (buccolingual torque, mesiodistal tip, and rotation) and 4 linear movements (buccolingual, mesiodistal, vertical, and total scalar displacement). The predicted tooth movement was compared with the achieved amount for each movement and tooth, using both percentage accuracy and numerical difference. RESULTS: Average percentage accuracy (63.4% ± 11.5%) was higher than in previously reported literature. The most accurate tooth movements were buccal torque and mesial displacement compared with lingual torque and distal displacement, particularly for mandibular posterior teeth. Clinically significant inaccuracies were found for the buccal displacement of maxillary second molars, lingual displacement of all molars, intrusion of mandibular second molars, the distal tip of molars, second premolars, and mandibular first premolars, buccal torque of maxillary central and lateral incisors, and lingual torque of premolars and molars. CONCLUSIONS: Superimposition techniques used in this study lay the groundwork for future studies to analyze advanced clear aligner patients. Invisalign is a treatment modality that can be considered for presurgical orthodontics-tooth movements involved in arch leveling and decompensation are highly accurate when comparing the simulated and the clinically achieved movements.

[Cardiovascular complications in COVID-19 patients admitted to intensive care units in Chilean hospitals]. / Complicaciones cardiovasculares en pacientes COVID-19 hospitalizados en Unidades de Pacientes Críticos en Chile. Registro COVICAR.

BACKGROUND: Patients with a cardiovascular (CV) history may be at greater risk of becoming ill and die due to SARS-CoV-2. AIM: To assess the incidence of CV complications in COVID-19 patients, the type of complication, and their association with CV history. MATERIAL AND METHODS: The clinical course of 1,314 patients with COVID-19 admitted consecutively to critical care units of 10 Chilean hospitals was registered between April and August of 2020. RESULTS: The median age of patients was 59 years and 66% were men. One hundred-four (8%) had a CV history, namely heart failure (HF) in 53 (4.1%), coronary heart disease in 50 (3.8 %), and atrial fibrillation in 36 (2.7 %). There were CV complications in 359 patients (27.3%). The most common were venous thrombosis in 10.7% and arrhythmias in 10.5%, HF in 7.2%, type 2 acute myocardial infarction in 4.2%, arterial thrombosis in 2.0% and acute coronary syndrome (ACS) in 1.6%. When adjusted by age, sex and risk factors, only HF (Odds ratio (OR) = 7.16; 95% confidence intervals (CI), 3.96-12.92) and ACS (OR = 5.44; 95% CI, 1.50-19.82) were significantly associated with CV history. There was no association with arrhythmias, type 2 acute myocardial infarction, arterial or venous thrombosis. CONCLUSIONS: Patients with a history of CV disease are at greater risk of suffering HF and ACS when hospitalized due to COVID-19. Arrhythmias, type 2 AMI, and arterial or venous thrombosis occur with the same frequency in patients with or without CV history, suggesting that these complications depend on inflammatory phenomena related to the infection.

Clinical decision support systems in orthodontics: A narrative review of data science approaches.

Advancements in technology and data collection generated immense amounts of information from various sources such as health records, clinical examination, imaging, medical devices, as well as experimental and biological data. Proper management and analysis of these data via high-end computing solutions, artificial intelligence and machine learning approaches can assist in extracting meaningful information that enhances population health and well-being. Furthermore, the extracted knowledge can provide new avenues for modern healthcare delivery via clinical decision support systems. This manuscript presents a narrative review of data science approaches for clinical decision support systems in orthodontics. We describe the fundamental components of data science approaches including (a) Data collection, storage and management; (b) Data processing; (c) In-depth data analysis; and (d) Data communication. Then, we introduce a web-based data management platform, the Data Storage for Computation and Integration, for temporomandibular joint and dental clinical decision support systems.

Joint Cardioprotective Effect of Vitamin C and Other Antioxidants against Reperfusion Injury in Patients with Acute Myocardial Infarction Undergoing Percutaneous Coronary Intervention.

Percutaneous coronary intervention (PCI) has long remained the gold standard therapy to restore coronary blood flow after acute myocardial infarction (AMI). However, this procedure leads to the development of increased production of reactive oxygen species (ROS) that can exacerbate the damage caused by AMI, particularly during the reperfusion phase. Numerous attempts based on antioxidant treatments, aimed to reduce the oxidative injury of cardiac tissue, have failed in achieving an effective therapy for these patients. Among these studies, results derived from the use of vitamin C (Vit C) have been inconclusive so far, likely due to suboptimal study designs, misinterpretations, and the erroneous conclusions of clinical trials. Nevertheless, recent clinical trials have shown that the intravenous infusion of Vit C prior to PCI-reduced cardiac injury biomarkers, as well as inflammatory biomarkers and ROS production. In addition, improvements of functional parameters, such as left ventricular ejection fraction (LVEF) and telediastolic left ventricular volume, showed a trend but had an inconclusive association with Vit C. Therefore, it seems reasonable that these beneficial effects could be further enhanced by the association with other antioxidant agents. Indeed, the complexity and the multifactorial nature of the mechanism of injury occurring in AMI demands multitarget agents to reach an enhancement of the expected cardioprotection, a paradigm needing to be demonstrated. The present review provides data supporting the view that an intravenous infusion containing combined safe antioxidants could be a suitable strategy to reduce cardiac injury, thus improving the clinical outcome, life quality, and life expectancy of patients subjected to PCI following AMI.

Aquaporin 4 distribution in the brain and its relevance for the radiological appearance of neuromyelitis optica spectrum disease.

BACKGROUND AND PURPOSE: To determine the precise incidence of lesions at sites of high Aquaporin-4 expression (hAQP4) and their possible association with known neuromyelitis optica spectrum disease (NMOSD) lesions patterns. MATERIALS AND METHODS: A retrospective analysis of brain and, when available, spinal cord MRI scans of 54 NMOSD patients recruited among the French NMOSD cohort was performed. Brain lesions were annotated as MS-like, non-specific, or evocative of NMOSD. The topography of hAQP4 was reassessed by human brain atlas. The incidence of lesions in hAQP4 and their association with lesions evocative of NMOSD was estimated. RESULTS: Among those included (41/54 female, mean age: 45 years) 47/54 (87%) presented brain lesions. Twenty-six/47 (55%) had lesions in hAQP4. Thirty-two/54 patients (60%) had lesions considered evocative of NMOSD. The majority of them also presented lesions in hAQP4 (65%, 21/32). Patients with lesions in hAQP4 and lesions evocative of NMOSD demonstrated more extensive myelitis compared to the other patients (7 [6-10] versus 4 [3-5] vertebral segments, P=0.009). CONCLUSION: The coexistence of lesions evocative of NMOSD and in hAQP4 is associated with significantly more extensive myelitis, and might have pathophysiological and clinical significance.

Decision Support Systems in Temporomandibular Joint Osteoarthritis: A review of Data Science and Artificial Intelligence Applications.

With the exponential growth of computational systems and increased patient data acquisition, dental research faces new challenges to manage a large quantity of information. For this reason, data science approaches are needed for the integrative diagnosis of multifactorial diseases, such as Temporomandibular joint (TMJ) Osteoarthritis (OA). The Data science spectrum includes data capture/acquisition, data processing with optimized web-based storage and management, data analytics involving in-depth statistical analysis, machine learning (ML) approaches, and data communication. Artificial intelligence (AI) plays a crucial role in this process. It consists of developing computational systems that can perform human intelligence tasks, such as disease diagnosis, using many features to help in the decision-making support. Patient's clinical parameters, imaging exams, and molecular data are used as the input in cross-validation tasks, and human annotation/diagnosis is also used as the gold standard to train computational learning models and automatic disease classifiers. This paper aims to review and describe AI and ML techniques to diagnose TMJ OA and data science approaches for imaging processing. We used a web-based system for multi-center data communication, algorithms integration, statistics deployment, and process the computational machine learning models. We successfully show AI and data-science applications using patients' data to improve the TMJ OA diagnosis decision-making towards personalized medicine.

The effect of the Covid-19 Pandemic on pediatric urology.

Medical and surgical priorities have changed dramatically at the time of this pandemic. Scientific societies around the World have provided rapid guidance, underpinned by the best knowledge available, on the adaptation of their guidelines recommendations to the current situation. There are very limited scientific evidence especially in our subspecialty of pediatric urology. We carry out a review of the little scientific evidence based mainly on the few publications available to date and on the recommendations of the main scientific societies regarding which patients should undergo surgery, when surgery should be performed and how patient visits should be organize.

Stroke in Patients With Peripheral Artery Disease.

Background and Purpose- Predictors of stroke and transient ischemic attack (TIA) in patients with peripheral artery disease (PAD) are poorly understood. The primary aims of this analysis were to (1) determine the incidence of ischemic/hemorrhagic stroke and TIA in patients with symptomatic PAD, (2) identify predictors of stroke in patients with PAD, and (3) compare the rate of stroke in ticagrelor- and clopidogrel-treated patients. Methods- EUCLID (Examining Use of Ticagrelor in Peripheral Artery Disease) randomized 13 885 patients with symptomatic PAD to receive monotherapy with ticagrelor or clopidogrel for the prevention of major adverse cardiovascular events (cardiovascular death, myocardial infarction, or ischemic stroke). Ischemic/hemorrhagic stroke and TIA were adjudicated and measured as incidence rates postrandomization and cumulative incidence (per patient-years). Post hoc multivariable competing risk hazards analyses were performed using baseline characteristics to determine factors associated with all-cause stroke in patients with PAD. Results- A total of 458 cerebrovascular events in 424 patients (317 ischemic strokes, 39 hemorrhagic strokes, and 102 TIAs) occurred over a median follow-up of 30 months, for a cumulative incidence of 0.87, 0.11, and 0.27 per 100 patient-years, respectively. Age, prior stroke, prior atrial fibrillation/flutter, diabetes mellitus, geographic region, ankle-brachial index <0.60, prior amputation, and systolic blood pressure were independent baseline factors associated with the occurrence of all-cause stroke. After adjustment for baseline factors, the rates of ischemic stroke and all-cause stroke remained lower in patients treated with ticagrelor as compared with those receiving clopidogrel. There was no significant difference in the incidence of hemorrhagic stroke or TIA between the 2 treatment groups. Conclusions- In patients with symptomatic PAD, ischemic stroke and TIA occur frequently over time. Comorbidities such as age, prior stroke, prior atrial fibrillation/flutter, diabetes mellitus, higher blood pressure, prior amputation, lower ankle-brachial index, and geographic region were each independently associated with the occurrence of all-cause stroke. Use of ticagrelor, as compared with clopidogrel, was associated with a lower adjusted rate of ischemic and all-cause stroke. Further study is needed to optimize medical management and risk reduction of all-cause stroke in patients with PAD. Clinical Trial Registration- URL: https://www.clinicaltrials.gov . Unique identifier: NCT01732822.