ConnectedFood

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2015, Director: Àlex Pardo FernándezNowadays, we have fewer time to dedicate to cooking. A good diet requires an effort in preparing the plates. Fast food or pre-cooked foods are not the best option. Because of that, we need some help that allows us to save a precious time. There are several websites to find recipes from different criteria (e.g. AllRecipes 1 ), or even to know about the possible substitutes of an ingredient (e.g. MyRecipes 2 ). But they are simply a large database of recipes or ingredients. ConnectedFood is an application that lets you find ingredient substitutes and similar recipes depending on the similarity of its ingredients. It is based on an ingredients net built from several sources. It means this application adds the new feature to find ingredient alternatives to your recipes or to help you create recipe variants

Caries dental en diabéticos tipo 1: Influencia de factores sistémicos de la enfermedad en la instauración de la caries dental

Objetivos: La diabetes mellitus es una de las enfermedades crónicas más prevalentes en población general. Se presenta un estudio que pretende evaluar la presencia de caries en los pacientes diabéticos tipo 1. El objetivo específico era comprobar si había o no mayor incidencia de caries en diabéticos tipo 1 comparándolos con un grupo de individuos no diabéticos. También, se comprobó la relación con las tasas de flujo salival y con los factores propios de la enfermedad como el grado de control metabólico, el tiempo de evolución de la enfermedad y la existencia de complicaciones crónicas. Diseño del estudio: Se estudiaron 90 diabéticos tipo 1 de edades comprendidas entre los 18 y los 50 años de edad y un grupo de pacientes controles no diabéticos pareados por edad y sexo. Se realizó una exploración visual y táctil, en todos los dientes de los sujetos explorados. Se tuvo en cuenta el grado de la higiene oral mediante el índice de placa de O'Leary, y se estudiaron las tasas de saliva basal y estimulada en ambos grupos. En el grupo diabético se relaciono con el control de la enfermedad mediante la obtención de la media de la hemoglobina glicosilada (HbA1c) de los dos años previos a la exploración, así como la evolución de su enfermedad en años y la existencia de complicaciones como neuropatía diabética o retinopatía. Resultados: Bajo similares condiciones de higiene oral y de flujo salival, el grupo diabético resultó tener una incidencia de caries mayor que el grupo control (p<0.05). Asimismo, al estudiar específicamente al grupo diabético, ni el control metabólico de la enfermedad, ni la evolución de la enfermedad, ni la existencia de complicaciones de la diabetes tenían influencia en la instauración de caries dental. Conclusiones: Se sugiere que habría que estudiar factores cualitativos salivales que explicasen esta mayor incidencia de caries en los diabéticos.Objectives: Diabetes mellitus is one of the most common chronic diseases in the general population. A study is made of the presence of caries in type 1 diabetic patients. The specific aim was to determine whether such patients present a greater incidence of dental caries than non-diabetic individuals. An evaluation was also made of the relationship of caries to salivary flow and to factors inherent to the disease such as the degree of metabolic control, the duration of diabetes, and the existence of chronic complications. Study design: The study comprised 90 type 1 diabetics between 18 and 50 years of age, and a group of non-diabetic controls matched for age and sex. Visual and tactile exploration of the dentition was carried out in all cases. Oral hygiene was rated based on the O'Leary plaque index, and basal (unstimulated) and stimulated salivary flow were evaluated in both groups. In the diabetic group, correlations were established with disease control based on the mean glycosylated hemoglobin (HbA1c) value corresponding to the two years prior to examination; evolution of the disease in years; and the existence of complications such as diabetic neuropathy or retinopathy. Results: Under similar conditions of oral hygiene and salivary flow, the diabetic group showed a higher incidence of caries than the control group (p<0.05). Likewise, on specifically analyzing the diabetic group, metabolic control of the disease, the duration of diabetes, and the existence of complications of the disease exerted an influence upon the development of dental caries. Conclusions: Qualitative salivary studies are advised to better account for this increased incidence of caries in the diabetic population

Type 1 diabetes mellitus and periodontal disease : relationship to different clinical variables

Objective: This study is designed to evaluate the frequency of periodontal disease in a group of patients with type 1 diabetes mellitus and how this relates with diabetes metabolic control, duration of diabetes, and presence of diabetic complications. Methods: A comparison was made of periodontal parameters (plaque index, bleeding index, pocket depth and attachment loss) in a group of diabetic patients (n=90) versus a group of non-diabetics (n=90). Logistic regression analysis was performed to evaluate relationship between periodontal parameters and degree of metabolic control, the duration of the disease, and the appearance of complications. Results: Diabetics had greater bleeding index (p<0.01), deeper periodontal pockets (p<0.01) and more periodontal attachment loss (p<0.01) than non-diabetics. Deficient metabolic control and presence of diabetic complication were associated with higher bleeding index and pocket depth (p?0.02). Conclusions: Patients with type 1 diabetes appear to show increased periodontal disease susceptibility, particularly those with poorer metabolic control or with diabetic complications

Dental caries in type 1 diabetics : influence of systemic factors of the disease upon the development of dental caries

Objectives: Diabetes mellitus is one of the most common chronic diseases in the general population. A study is made of the presence of caries in type 1 diabetic patients. The specific aim was to determine whether such patients present a greater incidence of dental caries than non-diabetic individuals. An evaluation was also made of the relationship of caries to salivary flow and to factors inherent to the disease such as the degree of metabolic control, the duration of diabetes, and the existence of chronic complications. Study design: The study comprised 90 type 1 diabetics between 18 and 50 years of age, and a group of non-diabetic controls matched for age and sex. Visual and tactile exploration of the dentition was carried out in all cases. Oral hygiene was rated based on the O?Leary plaque index, and basal (unstimulated) and stimulated salivary flow were evaluated in both groups. In the diabetic group, correlations were established with disease control based on the mean glycosylated hemoglobin (HbA1c) value corresponding to the two years prior to examination; evolution of the disease in years; and the existence of complications such as diabetic neuropathy or retinopathy. Results: Under similar conditions of oral hygiene and salivary flow, the diabetic group showed a higher incidence of caries than the control group (p<0.05). Likewise, on specifically analyzing the diabetic group, metabolic control of the disease, the duration of diabetes, and the existence of complications of the disease exerted an influence upon the development of dental caries. Conclusions: Qualitative salivary studies are advised to better account for this increased incidence of caries in the diabetic population

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P &lt; 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

The value of open-source clinical science in pandemic response: lessons from ISARIC

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