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A predictive model based on artificial neural networks (ANNs) for modeling primary settling tanks' (PSTs) behavior in wastewater treatment plants was developed in this study. Two separate ANNs were built using input data, raw wastewater characteristics, and operating conditions. The output data from the ANNs consisted of the total suspended solids (TSS) concentration and chemical oxygen demand (COD) as predictions of PSTs' typical effluent parameters. Data from a large-scale wastewater treatment plant was used to illustrate the applicability of the predictive model proposal. The ANNs model showed a high prediction accuracy during the training phase. Comparisons with available empirical and statistical models suggested that the ANNs model provides accurate estimations. Also, the ANNs were tested using new experimental data to verify their reproducibility under actual operating conditions. The predicted values were calculated with satisfactory results, having an average absolute deviation of <20%. The model could be adapted to any large-scale wastewater plant to monitor and control the operation of primary settling tanks, taking advantage of the ANNs' learning capacity.
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Eliminación de Residuos Líquidos , Aguas Residuales , Análisis de la Demanda Biológica de Oxígeno , Redes Neurales de la Computación , Reproducibilidad de los Resultados , Eliminación de Residuos Líquidos/métodosRESUMEN
INTRODUCTION: Helicobacter pylori infection affects approximately 70% of the Chilean population. It is a public health problem whose eradication treatment is part of the explicit health guarantees in Chile. OBJECTIVES: Characterize the most widely used H. pylori first-line eradication therapies in our environment and evaluate their efficacy. METHODS: A retrospective observational study was carried out where, in patients with certified H. pylori infection, the eradication therapy indicated by the treating physician, its efficacy, adherence and adverse effects, in addition to the eradication certification method used, were evaluated. RESULTS: 242 patients and 4 main therapies were analyzed: standard triple therapy, dual therapy, concomitant therapy, and bismuth quadruple therapy. Eradication rates of 81.9% (95% CI 74.44-87.63), 88.5% (95% CI 73.13-95.67), 93.7% (95% CI 78.07-98.44) and 97.6% (95% CI 84.81-99.67) were observed respectively, with concomitant therapy (RR: 1.14; 95% CI 1.01-1.29; p=.028) and quadruple therapy with bismuth (RR: 1.19; 95% CI 1.09-1.31; p<.001) being significantly more effective than standard triple therapy. Regarding the rate of reported adverse effects, it was 58.5% (95% CI 50.66-65.92), 35.4% (95% CI 24.6-48.11), 22.9% (95% CI 81-37.14) and 63.4% (95% CI 47.8-76.64), having the dual and concomitant therapy significantly fewer adverse effects compared with standard therapy. CONCLUSIONS: Quadruple therapies are superior to standard triple therapy and should be considered as first-line treatment in Chile. Dual therapy is promising. More studies will be required to determine which therapies are most cost-effective.
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Infecciones por Helicobacter , Helicobacter pylori , Amoxicilina/uso terapéutico , Antibacterianos/efectos adversos , Bismuto/uso terapéutico , Chile , Quimioterapia Combinada , Infecciones por Helicobacter/tratamiento farmacológico , Humanos , Inhibidores de la Bomba de Protones/uso terapéuticoRESUMEN
OBJECTIVES: To: 1. Describe the frequency of viral RNA detection in stools in a cohort of patients infected with SARS-CoV-2, and 2. Perform a systematic review to assess the clearance time in stools of SARS-CoV-2. METHODS: We conducted a prospective cohort study in two centers between March and May 2020. We included SARS-CoV-2 infected patients of any age and severity. We collected seriated nasopharyngeal swabs and stool samples to detect SARS-CoV-2. After, we performed a systematic review of the prevalence and clearance of SARS-CoV-2 in stools (PROSPERO-ID: CRD42020192490). We estimated prevalence using a random-effects model. We assessed clearance time by using Kaplan-Meier curves. RESULTS: We included 32 patients; mean age was 43.7±17.7 years, 43.8% were female, and 40.6% reported gastrointestinal symptoms. Twenty-five percent (8/32) of patients had detectable viral RNA in stools. The median clearance time in stools of the cohort was 11[10-15] days. Systematic review included 30 studies (1392 patients) with stool samples. Six studies were performed in children and 55% were male. The pooled prevalence of viral detection in stools was 34.6% (twenty-four studies, 1393 patients; 95%CI:25.4-45.1); heterogeneity was high (I2:91.2%, Q:208.6; p≤0.001). A meta-regression demonstrates an association between female-gender and lower presence in stools (p=0.004). The median clearance time in stools was 22 days (nineteen studies, 140 patients; 95%CI:19-25). After 34 days, 19.9% (95%CI:11.3-29.7) of patients have a persistent detection in stools. CONCLUSIONS: Detection of SARS-CoV-2 in stools is a frequent finding. The clearance of SARS-CoV-2 in stools is prolonged and it takes longer than nasopharyngeal secretions.
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COVID-19 , SARS-CoV-2 , Adulto , COVID-19/diagnóstico , COVID-19/epidemiología , Niño , Estudios de Cohortes , Femenino , Humanos , Masculino , Persona de Mediana Edad , Prevalencia , Estudios Prospectivos , ARN Viral , Esparcimiento de VirusRESUMEN
Autonomous robotic surgery represents a pioneering field dedicated to the integration of robotic systems with varying degrees of autonomy for the execution of surgical procedures. This paradigm shift is made possible by the progressive integration of artificial intelligence (AI) and machine learning (ML) into the realm of surgical interventions. While the majority of autonomous robotic systems remain in the experimental phase, a notable subset has successfully transitioned into clinical applications. Noteworthy procedures, such as venipuncture, hair implantations, intestinal anastomosis, total knee replacement, cochlear implant, radiosurgery, and knot tying, among others, exemplify the current capabilities of autonomous surgical systems. This review endeavors to comprehensively address facets of autonomous robotic surgery, commencing with a concise elucidation of fundamental concepts and traversing the pivotal milestones in the historical evolution of robotic surgery. This historical trajectory underscores the incremental assimilation of autonomous systems into surgical practices. This review aims to address topics related to autonomous robotic surgery, starting with a description of fundamental concepts and going through the milestones in robotic surgery history that also show the gradual incorporations of autonomous systems. It also includes a discussion of the key benefits and risks of this technology, the degrees of autonomy in surgical robots, their limitations, the current legal regulations governing their usage, and the main ethical concerns inherent to their nature.
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Background Difficult laparoscopic cholecystectomy (DLC) denotes the surgical extraction of the gallbladder under circumstances where associated conditions within the same organ, adjacent structures, or patient-specific conditions impede a smooth, expeditious, and comfortable dissection. It is imperative to utilize tools that aid in anticipating this challenging surgical scenario, enabling the implementation of appropriate measures. Objective This study aimed to assess the effectiveness of the Labbad-Vivas score (LVS) in predicting DLC and its correlation with the Parkland Grading Scale (PGS). Methodology A prospective study was conducted, including patients diagnosed with gallstone disease undergoing LC (laparoscopic cholecystectomy) at the "Dr. Luis Razetti" University Hospital in Barcelona, Venezuela, between September and December 2023. Results Forty patients were studied, with 80% (n=32) being female and 95% (n=38) under the age of 65; surgeries were elective in 72.5% (n=29) of cases; 35% (n=14) had an LVS ≥16 (difficult cholecystectomy); and 62.5% (n=25) of patients presented Grades 1 and 2 on the PGS. Total cholecystectomy was performed in 95% (n=38) of the patients. The LVS showed a sensitivity of 80%, specificity of 92%, positive predictive value of 85.7%, and negative predictive value of 88.5% to predict DLC, with an area under the receiver operating characteristic curve of 0.897 (95% confidence interval (CI) = 0.792-1.003). A Pearson correlation coefficient of 0.805 (95% CI = 0.656 - 0.904) was obtained between both scores. Conclusion The use of the LVS score in the preoperative setting is feasible as a predictor of DLC, given its effectiveness and high correlation with the PGS.
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This study provides a comprehensive overview of hereditary hemochromatosis (HH), a genetic condition characterized by iron overload due to excessive iron absorption. It elucidates diverse inheritance patterns and clinical manifestations by exploring mutations in critical genes such as HFE (hemochromatosis), HJV (hemojuvelin), HAMP (hepcidin antimicrobial peptide), TfR2 (transferrin receptor 2), and FP (ferroportin). The significance of early screening, diagnosis, and personalized management strategies based on genetic classification is emphasized, particularly in terms of high-income vs. low-income countries. Addressing challenges in diagnosis, genetic testing accessibility, and healthcare disparities, the study highlights the importance of early detection, cost-effective screening strategies, and enhancing healthcare outcomes globally. Advanced genetic testing in high-income countries facilitates early diagnosis and management, reducing complications such as liver disease and cardiomyopathy. In contrast, low-income populations face several barriers, including limited access to genetic testing, high costs, and inadequate healthcare infrastructure. Cost-effective serum ferritin (SF) and transferrin saturation (TS) tests and emerging point-of-care (POC) tests offer affordable diagnostic options for low-resource settings. Additionally, the ongoing development of hepcidin measurement methods holds promise for enhancing diagnostic capabilities. Implementing these strategies can aid healthcare providers in improving global HH management and reducing the burden of iron overload complications. Furthermore, the study underscores the need for public health initiatives to raise awareness about HH, promote routine screenings, and advocate for equitable healthcare policies. Collaborative efforts between governments, healthcare organizations, and research institutions are crucial in addressing the global burden of HH. By fostering international cooperation and resource-sharing, it is possible to bridge the gap between high-income and low-income countries, ensuring all individuals have access to the necessary diagnostic and treatment options. This holistic approach can ultimately lead to better health outcomes and improved quality of life for individuals affected by HH worldwide. This comprehensive examination of HH not only illuminates the genetic and clinical aspects of the condition but also provides a roadmap for addressing the multifaceted challenges associated with its diagnosis and management.
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Inflammatory bowel disease (IBD), which includes ulcerative colitis and Crohn's disease, is a chronic condition characterized by inflammation of the gastrointestinal tract. Its exact cause is unknown, but it's thought to result from a dysregulated immune response influenced by various factors, including changes in the intestinal microbiota, diet, lifestyle, and genetics. The gut microbiome, consisting of diverse microorganisms, plays a crucial role in maintaining physiological balance, with its disruption leading to inflammatory responses typical of IBD. Treatments primarily aim at symptom control, employing immunomodulators, corticosteroids, and newer approaches like probiotics, prebiotics, fecal transplants, and dietary modifications, all focusing on leveraging the microbiota's potential in disease management. These strategies aim to restore the delicate balance of the gut microbiome, typically altered in IBD, marked by a decrease in beneficial bacteria and an increase in harmful pathogens. This review underscores the importance of the gut microbiome in the pathogenesis and treatment of IBD, highlighting the shift towards personalized medicine and the necessity for further research in understanding the complex interactions between the gut microbiota, immune system, and genetics in IBD. It points to the potential of emerging treatments and the importance of a multifaceted approach in managing this complex and challenging disease.
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Tranexamic acid (TXA), a fibrinolytic agent, effectively inhibits plasminogen activation, thereby reducing fibrinolysis and hemorrhage. This study focused on its application in trauma patients undergoing emergency surgery, a critical area due to trauma's significant role in mortality. Our investigation involved a meticulous screening of randomized controlled trials from databases including Scopus, PubMed, Web of Science, and Cochrane. The findings indicate that TXA intervention is promising in enhancing outcomes for trauma patients. However, the drug's effectiveness may vary based on the specific nature of the medical condition. In summary, robust evidence suggests that TXA can diminish blood loss, lower transfusion rates, reduce complications, and improve hemoglobin and hematocrit levels in surgical patients. Consequently, TXA should be considered a crucial medication, readily available to mitigate morbidity and mortality in surgical settings. Future research should explore factors influencing TXA's effectiveness in traumatic brain injury cases and across a broad spectrum of surgical scenarios in diverse patient populations. This would further guide clinicians in refining and optimizing the use of TXA.
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We present the complete chloroplast genome sequence of an endophytic Ostreobium sp. isolated from a 19th-century coralline red algal specimen from St. Croix, U.S. Virgin Islands. The chloroplast genome is 84,848 bp in length, contains 114 genes, and has a high level of gene synteny to other Ostreobiaceae.