Elimination of hepatitis C virus in a prison: An 18-year experience.

INTRODUCTION: Despite the decrease of hepatitis C in Spanish prisons in the last years, it still remains a reservoir for infection. The aim of this work is to analyze the characteristics of these patients and the response to antiviral treatment over the last 18 years. METHODS: Retrospective observational study in inmates of Araba penitentiary center diagnosed with HCV infection between 2002 and 2020. A descriptive analysis of patient characteristics and the response to the three antiviral treatment modalities was performed: peg-interferon and ribavirin, peg-interferon, ribavirin and a first-generation protease inhibitor and different combinations of direct-acting antivirals. RESULTS: A total of 248 antiviral treatments were prescribed. Treatment response rate up to 2015 was 65% and 93,7% after that year. Interferon non-responders were the main cause of non-response to treatment in periods 1 and 2 (40%-50%). Conversely, in period 3 viral breakthrough (67%) was the main culprit. CONCLUSION: After 18 years, active hepatitis C infection in prison inmates has resolved with treatment according to clinical criteria. Therefore, the stay in prison may represent an opportunity to reduce the reservoir of the disease in the community, together with continued health care for those released from prison.

Are Panoramic Images a Good Tool to Detect Calcified Carotid Atheroma? A Systematic Review.

To investigate the reliability of panoramic dental images to detect calcified carotid atheroma, electronic databases (PubMed, IEEE/Xplore and Embase) were searched. Outcomes included cerebrovascular disease events, cardiovascular disease events, patient previous diseases, and combined endpoints. Risk of bias was evaluated using the Newcastle-Ottawa Scale. Hence, 15 studies were selected from 507 potential manuscripts. Five studies had a low risk of bias, while the remaining nine studies were found to have a moderate risk. Heterogeneous results were obtained but showed that patients with risk factors, such as obesity, diabetes mellitus, hypertension, and smoking, and with calcified carotid atheroma on panoramic images, have a higher prevalence than healthy patients. The evidence in the literature was found to be equivocal. However, the findings of this systematic review exhibit that panoramic radiographs can be used for dental diagnosis and treatment planning, as well as to detect calcified carotid artery atheroma.

Analysis of Prior Aspirin Treatment on in-Hospital Outcome of Geriatric COVID-19 Infected Patients.

Background and Objectives: Aspirin (ASA) is a commonly used antithrombotic drug that has been demonstrated to reduce venous thromboembolism. The aim was to analyze if geriatric COVID-19 patients undergoing a 100 mg/day Aspirin (ASA) treatment prior to hospitalization differ in hospital outcome compared to patients without previous ASA therapy. Materials and Methods: An observational retrospective study was carried out using an anonymized database including geriatric COVID-19 patients (March to April 2020) admitted to Madrid Hospitals Group. A group of COVID-19 patients were treated with low ASA (100 mg/day) prior to COVID-19 infection. Results: Geriatric ASA-treated patients were older (mean age over 70 years; n = 41), had higher frequency of hypertension and hyperlipidemia, and upon admission had higher D-dimer levels than non-ASA-treated patients (mean age over 73 years; n = 160). However, patients under ASA treatment did not show more frequent pulmonary thromboembolism (PE) than non-ASA-treated patients. ASA-treated geriatric COVID-19-infected patients in-hospital < 30 days all-cause mortality was more frequent than in non-ASA-treated COVID-19 patients. In ASA-treated COVID-19-infected geriatric patients, anticoagulant therapy with low molecular weight heparin (LMWH) significantly reduced need of ICU care, but tended to increase in-hospital < 30 days all-cause mortality. Conclusions: Prior treatment with a low dose of ASA in COVID-19-infected geriatric patients increased frequency of in-hospital < 30 days all-cause mortality, although it seemed to not increase PE frequency despite D-dimer levels upon admission being higher than in non-ASA users. In ASA-treated geriatric COVID-19-infected patients, addition of LMWH therapy reduced frequency of ICU care, but tended to increase in-hospital < 30 days all-cause mortality.

Spike Protein Subunits of SARS-CoV-2 Alter Mitochondrial Metabolism in Human Pulmonary Microvascular Endothelial Cells: Involvement of Factor Xa.

Background: Mitochondria have been involved in host defense upon viral infections. Factor Xa (FXa), a coagulating factor, may also have influence on mitochondrial functionalities. The aim was to analyze if in human pulmonary microvascular endothelial cells (HPMEC), the SARS-CoV-2 (COVID-19) spike protein subunits, S1 and S2 (S1+S2), could alter mitochondrial metabolism and what is the role of FXA. Methods: HPMEC were incubated with and without recombinants S1+S2 (10 nmol/L each). Results: In control conditions, S1+S2 failed to modify FXa expression. However, in LPS (1 µg/mL)-incubated HPMEC, S1+S2 significantly increased FXa production. LPS tended to reduce mitochondrial membrane potential with respect to control, but in higher and significant degree, it was reduced when S1+S2 were present. LPS did not significantly modify cytochrome c oxidase activity as compared with control. Addition of S1+S2 spike subunits to LPS-incubated HPMEC significantly increased cytochrome c oxidase activity with respect to control. Lactate dehydrogenase activity was also increased by S1+S2 with respect to control and LPS alone. Protein expression level of uncoupled protein-2 (UCP-2) was markedly expressed when S1+S2 were added together to LPS. Rivaroxaban (50 nmol/L), a specific FXa inhibitor, significantly reduced all the above-mentioned alterations induced by S1+S2 including UCP-2 expression. Conclusions: In HPMEC undergoing to preinflammatory condition, COVID-19 S1+S2 spike subunits promoted alterations in mitochondria metabolism suggesting a shift from aerobic towards anaerobic metabolism that was accompanied of high FXa production. Rivaroxaban prevented all the mitochondrial metabolic changes mediated by the present COVID-19 S1 and S2 spike subunits suggesting the involvement of endogenous FXa.

Mitochondrial mitophagy protection combining rivaroxaban and aspirin in high glucose-exposed human coronary artery endothelial cell. An in vitro study.

PURPOSE: Combination of Rivaroxaban plus Aspirin improved cardiovascular outcome in patients with stable cardiovascular disease. The aim was to determine if Rivaroxaban and acetylsalicylic acid alone or in combination may protect mitochondrial mitophagy in human coronary artery endothelial cells (HCAEC) exposed to D-glucose. METHODS: HCAEC were incubated under different conditions: 5 mmol/L glucose D-glucose (control), 30 mmol/L D-Glucose with and without 50 nmol/L Rivaroxaban (Rivaroxaban), 0.33 mmol/L ASA (ASA) or Rivaroxaban (12.5 nmol/L)+ASA (0.33 mmol/L; (Riva+ASA). RESULTS: HCAEC incubated with D-glucose showed an increased Factor Xa expression. The mitochondrial content of Pink-1 and Parkin were significantly reduced in high glucose-incubated HCAEC compared to control. Rivaroxaban+ASA significantly increased the mitochondrial content of Pink-1 and Parkin, and the mitochondrial membrane potential compared to D-Glucose group. Both ASA alone and Riva+ASA reduced reactive oxygen species (ROS) and tissue factor production induced by high glucose exposure. CONCLUSION: Under high glucose condition combining Rivaroxaban+ASA increased the mitochondrial content of Pink-1 and Parkin, restored mitochondria membrane potential and reduced ROS and tissue factor expression in HCAEC. It suggests potential effects induced by dual use of Rivaroxaban and ASA on the coronary endothelium subjected to high glucose condition.

Albumin Binds COVID-19 Spike 1 Subunit and Predicts In-Hospital Survival of Infected Patients-Possible Alteration by Glucose.

(1) Background: This study aimed to analyze if the serum albumin levels of hospitalized SARS-CoV-2 (COVID-19) patients on admission could predict <30 days in-hospital all-cause mortality, and if glucose levels on admission affected this predictive ability. (2) Methods: A multicenter retrospective cohort of 1555 COVID-19-infected adult patients from public hospitals of the Madrid community were analyzed. (3) Results: Logistic regression analysis showed increased mortality for ages higher than 49 y. After adjusting for age, comorbidities and on-admission glucose levels, it was found that on-admission serum albumin ≥3.5 g/dL was significantly associated with reduced mortality (OR 0.48; 95%CI:0.36-0.62). There was an inverse concentration-dependent association between on-admission albumin levels and <30 days in-hospital all-cause mortality. However, when on-admission glucose levels were above 125 mg/dL, higher levels of serum albumin were needed to reach an association with survival. In vitro experiments showed that the spike protein S1 subunit of SARS-CoV-2 binds to native albumin. The binding ability of native albumin to the spike protein S1 subunit was decreased in the presence of an increasing concentration of glycated albumin. (4) Conclusions: On-admission serum albumin levels were inversely associated with <30 days in-hospital all-cause mortality. Native albumin binds the spike protein S1 subunit, suggesting that native albumin may act as a scavenger of the SARS-CoV-2 virus.

A Convolutional Neural Network for Automatic Tooth Numbering in Panoramic Images.

Analysis of dental radiographs and images is an important and common part of the diagnostic process in daily clinical practice. During the diagnostic process, the dentist must interpret, among others, tooth numbering. This study is aimed at proposing a convolutional neural network (CNN) that performs this task automatically for panoramic radiographs. A total of 8,000 panoramic images were categorized by two experts with more than three years of experience in general dentistry. The neural network consists of two main layers: object detection and classification, which is the support of the previous one and a transfer learning to improve computing time and precision. A Matterport Mask RCNN was employed in the object detection. A ResNet101 was employed in the classification layer. The neural model achieved a total loss of 6.17% (accuracy of 93.83%). The architecture of the model achieved an accuracy of 99.24% in tooth detection and 93.83% in numbering teeth with different oral health conditions.

Coronavirus Awareness and Mental Health: Clinical Symptoms and Attitudes Toward Seeking Professional Psychological Help.

The current study analyzed the relationship between Coronavirus (COVID-19) Awareness, mental health, and willingness to seek professional psychological help. This was made through a quantitative approach, using online questionnaires to collect data from 855 subjects. The questionnaires included the Brief Symptom Inventory (BSI-53) to measure mental health indicators, the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form, and the Coronavirus Awareness Scale-10 (CAS-10). An Exploratory Factor Analysis suggests that three factors underlie the CAS-10: Coronavirus Concern, Exaggerated Perception, and Immunity Perception. Results indicate a significant positive correlation between Coronavirus Concern and both general anxiety and phobic anxiety symptoms. Immunity Perception is positively related to paranoid ideation and psychotic symptoms. A Mediation Analysis determined that Coronavirus Concern has a significant positive direct effect on Openness to Seeking Psychological Treatment (OSPT), while Exaggerated Perception and Immunity Perception scores have significant direct negative effects on the Value and Need in Seeking Treatment (VNST) scores. Indirectly, the relationship between Coronavirus Concern and OPST is significantly mediated by anxiety symptoms. Similar results were found for the VNST subscale. There is a negative significant effect of Immunity Perception over OSPT mediated by Paranoid Ideation. However, the overall model only achieved small r 2 coefficients for the OSPT (0.060) and VNST (0.095) scores. Comparisons in Coronavirus Awareness between sex, age, and the presence of children and older adults at home were also made. These results are discussed regarding their practical implications for mental health providers and policymakers.

Coronavirus awareness, confinement stress, and mental health: Evidence from Honduras, Chile, Costa Rica, Mexico and Spain.

RATIONALE: The purpose of the current study was to analyze the influence of coronavirus awareness, psychological stress responses, and sociodemographic variables on mental health indicators (somatization, depression, and anxiety) in residents of Honduras, Chile, Costa Rica, Mexico, and Spain. METHODS: The study used a quantitative, cross-sectional approach. Data was collected online using the Brief Symptom Inventory-18 (BSI-18); the Coronavirus Awareness Scale-6 (CAS-6) and a questionnaire that included psychological and sociodemographic questions. The total sample size consisted of 1559 respondents from Honduras (34%), Chile (29%), Costa Rica (17%), Mexico (11%), and Spain (9%). RESULTS: The most common stress domains correspond to family (22.97%), financial (22.53%), academic (16.47%), leisure time constraints (14.23%), health (12.48%), peer group (7.63%), and religious concerns (3.69%). These domains are significantly associated with the respondent's country, sex, employment status, and being or not a health worker. Respondents who reported confinement stress also reported higher scores in anxiety, depression, and somatization. The Global Severity Index was significantly predicted by confinement stress, health, academic, and leisure time-related stress, sex, age, being a health worker, COVID-19 Personal Concern, and Perceived Seriousness. Non-significant predictors were employment status, the number of people at home, presence of older adults and children at home, financial, peer group, family, and religious concerns; the regression model had an R2 of 0.26. Similar analyses were conducted for somatization, depression, and anxiety subscales. CONCLUSIONS: The COVID-19 pandemic has adverse effects on the mental health of the general population, particularly regarding anxiety, depression, and somatization. Specific populations, such as women and healthcare workers, are at particular risk of suffering a deterioration in mental wellbeing. The implications of the study for public policy are discussed.

A Validation Employing Convolutional Neural Network for the Radiographic Detection of Absence or Presence of Teeth.

Dental radiography plays an important role in clinical diagnosis, treatment and making decisions. In recent years, efforts have been made on developing techniques to detect objects in images. The aim of this study was to detect the absence or presence of teeth using an effective convolutional neural network, which reduces calculation times and has success rates greater than 95%. A total of 8000 dental panoramic images were collected. Each image and each tooth was categorized, independently and manually, by two experts with more than three years of experience in general dentistry. The neural network used consists of two main layers: object detection and classification, which is the support of the previous one. A Matterport Mask RCNN was employed in the object detection. A ResNet (Atrous Convolution) was employed in the classification layer. The neural model achieved a total loss of 0.76% (accuracy of 99.24%). The architecture used in the present study returned an almost perfect accuracy in detecting teeth on images from different devices and different pathologies and ages.

It seems like cholangiocarcinoma but it is not: discovering the choledochal cyst.

A 52-year-old female was referred for a study of a left intrahepatic bile duct dilation with an initial suspicion of Klatskin. Analytically, there was no cholestasis and tumor markers were negative. On echoendoscopy, there was dilation of the intrahepatic bile duct to the confluence at the level of the left hepatic lobe, with no evidence of a lesion that could be biopsied by fine needle aspiration (FNA).

Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review.

Dental caries is the most prevalent dental disease worldwide, and neural networks and artificial intelligence are increasingly being used in the field of dentistry. This systematic review aims to identify the state of the art of neural networks in caries detection and diagnosis. A search was conducted in PubMed, Institute of Electrical and Electronics Engineers (IEEE) Xplore, and ScienceDirect. Data extraction was performed independently by two reviewers. The quality of the selected studies was assessed using the Cochrane Handbook tool. Thirteen studies were included. Most of the included studies employed periapical, near-infrared light transillumination, and bitewing radiography. The image databases ranged from 87 to 3000 images, with a mean of 669 images. Seven of the included studies labeled the dental caries in each image by experienced dentists. Not all of the studies detailed how caries was defined, and not all detailed the type of carious lesion detected. Each study included in this review used a different neural network and different outcome metrics. All this variability complicates the conclusions that can be made about the reliability or not of a neural network to detect and diagnose caries. A comparison between neural network and dentist results is also necessary.

Influence of Bone Definition and Finite Element Parameters in Bone and Dental Implants Stress: A Literature Review.

Bone plays an important role in dental implant treatment success. The goal of this literature review is to analyze the influence of bone definition and finite element parameters on stress in dental implants and bone in numerical studies. A search was conducted of Pubmed, Science Direct and LILACS, and two independent reviewers performed the data extraction. The quality of the selected studies was assessed using the Cochrane Handbook tool for clinical trials. Seventeen studies were included. Titanium was the most commonly-used material in dental implants. The magnitude of the applied loads varied from 15 to 300 N with a mean of 182 N. Complete osseointegration was the most common boundary condition. Evidence from this review suggests that bone is commonly defined as an isotropic material, despite being an anisotropic tissue, and that it is analyzed as a ductile material, instead of as a fragile material. In addition, and in view of the data analyzed in this review, it can be concluded that there is no standardization for conducting finite element studies in the field of dentistry. Convergence criteria are only detailed in two of the studies included in this review, although they are a key factor in obtaining accurate results in numerical studies. It is therefore necessary to implement a methodology that indicates which parameters a numerical simulation must include, as well as how the results should be analyzed.

[Home intravenous antibiotic treatment: a study in 515 patients]. / Antibioterapia intravenosa en domicilio. Estudio de 515 casos.

OBJECTIVE: To assess the effectiveness of therapy, type of infection, hospital department of origin and outcome of 515 cases of infection requiring home intravenous antibiotic therapy treated by the home care service. METHODS: The clinical records of patients undergoing intravenous antibiotic therapy through the home care service over a 6-year period were retrospectively reviewed. RESULTS: A total of 439 patients (244M/195F; mean age, 55.9 years, range 7-96) requiring 515 courses of home intravenous antibiotic therapy were reviewed. Mean duration of antibiotic therapy was 7.9 days (1-58). Urinary (42.3%) and respiratory infections (25.8%) were the most frequent indications for home treatment. Most patients were referred from the emergency room (50.5%) followed by the Internal Medicine Department (11.5%) and Oncology Department (11.1%). Ceftriaxone was the most widely prescribed antibiotic (41.8%) followed by aminoglycosides (35.3%) and glycopeptides (11.7%). In 49 cases electronic infusion pumps were used, with ceftazidime being the predominant antibiotic (32.7%) in these cases. Hospitalization was required in 7% of patients due to infectious disease-related complications. Clinical outcome was positive in 79% of the patients, with improvement in 90% of patients from the emergency room CONCLUSIONS: The advantages of home care services to provide home intravenous antibiotic therapy are evident. More than half of the patients were referred from the emergency room and 90% of these progressed well. The presence of medical and nursing staff qualified to handle infectious diseases is necessary, as well as continuing home care.