Titre : Intégrines

Intégrines : Questions médicales fréquentes

Termes MeSH sélectionnés :

Electronic Data Processing
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"Question", "name": "Les biopsies sont-elles utiles pour les intégrines ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les biopsies peuvent révéler des anomalies d'expression des intégrines dans les tissus." } }, { "@type": "Question", "name": "Peut-on détecter les intégrines par imagerie ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Certaines techniques d'imagerie moléculaire peuvent visualiser l'expression des intégrines." } }, { "@type": "Question", "name": "Quels marqueurs sont associés aux intégrines ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Des marqueurs comme CD29 et CD49 peuvent être utilisés pour identifier les intégrines." } }, { "@type": "Question", "name": "Quels symptômes indiquent une anomalie des intégrines ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Des problèmes d'adhésion cellulaire peuvent entraîner des inflammations et des infections récurrentes." } }, { "@type": "Question", "name": "Les troubles de la coagulation sont-ils liés aux intégrines ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des anomalies des intégrines peuvent provoquer des troubles de la coagulation sanguine." } }, { "@type": "Question", "name": "Comment les intégrines affectent-elles la cicatrisation ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Les intégrines sont essentielles pour la migration cellulaire et la formation de nouveaux tissus lors de la cicatrisation." } }, { "@type": "Question", "name": "Les douleurs articulaires peuvent-elles être liées aux intégrines ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des dysfonctionnements des intégrines peuvent contribuer à des douleurs articulaires et à l'arthrite." } }, { "@type": "Question", "name": "Y a-t-il des symptômes cutanés associés aux intégrines ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des anomalies des intégrines peuvent entraîner des maladies cutanées comme l'épidermolyse bulleuse." } }, { "@type": "Question", "name": "Peut-on prévenir les troubles liés aux intégrines ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Une alimentation équilibrée et un mode de vie sain peuvent aider à prévenir certains troubles liés aux intégrines." } }, { "@type": "Question", "name": "Les vaccinations influencent-elles les intégrines ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Certaines vaccinations peuvent moduler l'expression des intégrines, influençant la réponse immunitaire." } }, { "@type": "Question", "name": "L'exercice physique affecte-t-il les intégrines ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exercice régulier peut améliorer la fonction des intégrines et la santé cellulaire." } }, { "@type": "Question", "name": "Le stress a-t-il un impact sur les intégrines ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Le stress chronique peut altérer l'expression des intégrines, affectant la santé immunitaire." } }, { "@type": "Question", "name": "Les habitudes alimentaires influencent-elles les intégrines ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Une alimentation riche en antioxydants peut soutenir la fonction des intégrines et la santé cellulaire." } }, { "@type": "Question", "name": "Quels traitements ciblent les intégrines ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Des thérapies biologiques, comme les inhibiteurs d'intégrines, sont utilisées pour traiter certaines maladies auto-immunes." } }, { "@type": "Question", "name": "Les médicaments anti-inflammatoires aident-ils les intégrines ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les anti-inflammatoires peuvent réduire l'inflammation liée aux dysfonctionnements des intégrines." } }, { "@type": "Question", "name": "La thérapie génique peut-elle corriger les anomalies des intégrines ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "La thérapie génique est une approche prometteuse pour corriger certaines anomalies des intégrines." } }, { "@type": "Question", "name": "Les greffes d'organes sont-elles affectées par les intégrines ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les intégrines jouent un rôle clé dans l'acceptation ou le rejet des greffes d'organes." } }, { "@type": "Question", "name": "Comment les intégrines sont-elles ciblées dans le cancer ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Des traitements ciblant les intégrines peuvent inhiber la métastase et la progression tumorale." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir avec des anomalies des intégrines ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications incluent des infections récurrentes, des troubles de la coagulation et des maladies auto-immunes." } }, { "@type": "Question", "name": "Les anomalies des intégrines peuvent-elles causer des cancers ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des anomalies dans l'expression des intégrines sont associées à une augmentation du risque de cancer." } }, { "@type": "Question", "name": "Comment les intégrines affectent-elles la santé cardiovasculaire ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Des dysfonctionnements des intégrines peuvent contribuer à des maladies cardiovasculaires et à l'athérosclérose." } }, { "@type": "Question", "name": "Les complications cutanées sont-elles fréquentes avec les intégrines ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des anomalies des intégrines peuvent entraîner des maladies cutanées graves comme l'épidermolyse." } }, { "@type": "Question", "name": "Les troubles neurologiques peuvent-ils être liés aux intégrines ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Certaines études suggèrent un lien entre les anomalies des intégrines et des troubles neurologiques." } }, { "@type": "Question", "name": "Quels facteurs augmentent le risque de troubles des intégrines ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Des facteurs génétiques, des infections chroniques et des maladies auto-immunes augmentent le risque." } }, { "@type": "Question", "name": "L'âge influence-t-il la fonction des intégrines ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le vieillissement peut altérer l'expression et la fonction des intégrines dans le corps." } }, { "@type": "Question", "name": "Le tabagisme affecte-t-il les intégrines ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le tabagisme peut perturber l'expression des intégrines et affecter la santé cellulaire." } }, { "@type": "Question", "name": "Le diabète influence-t-il les intégrines ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le diabète peut altérer la fonction des intégrines, augmentant le risque de complications." } }, { "@type": "Question", "name": "Le stress oxydatif affecte-t-il les intégrines ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le stress oxydatif peut endommager les intégrines et perturber leur fonction normale." } } ] } ] }

Sous-catégories

19 au total
└─

Intégrines alpha

Integrin alpha Chains D039001 - D12.776.543.750.705.408.100
└─

Chaines bêta des intégrines

Integrin beta Chains D039641 - D12.776.543.750.705.408.200
└─

Récepteur cytoadhésine

Receptors, Cytoadhesin D016024 - D12.776.543.750.705.408.460
└─

Récepteur du fibrinogène

Receptors, Fibrinogen D039341 - D12.776.543.750.705.408.495
└─

Récepteur fibronectine

Receptors, Fibronectin D017469 - D12.776.543.750.705.408.530
└─

Récepteur adhésion leucocytaire

Receptors, Leukocyte-Adhesion D016028 - D12.776.543.750.705.408.600
└─

Récepteur VLA

Receptors, Very Late Antigen D016029 - D12.776.543.750.705.408.850
└─└─

Intégrine alpha1

Integrin alpha1 D039423 - D12.776.543.750.705.408.100.300
└─└─

Intégrine alpha2

Integrin alpha2 D039421 - D12.776.543.750.705.408.100.350
└─└─

Intégrine alpha3

Integrin alpha3 D039422 - D12.776.543.750.705.408.100.400
└─└─

Intégrine alpha4

Integrin alpha4 D039441 - D12.776.543.750.705.408.100.450
└─└─

Intégrine alpha5

Integrin alpha5 D039482 - D12.776.543.750.705.408.100.500
└─└─

Intégrine alpha6

Integrin alpha6 D039503 - D12.776.543.750.705.408.100.550
└─└─

Intégrine alphaV

Integrin alphaV D039564 - D12.776.543.750.705.408.100.900
└─└─

Glycoprotéine-IIb de membrane plaquettaire

Platelet Membrane Glycoprotein IIb D040201 - D12.776.543.750.705.408.100.950
└─└─

Antigènes CD29

Integrin beta1 D019012 - D12.776.543.750.705.408.200.500
└─└─

Intégrine bêta3

Integrin beta3 D039661 - D12.776.543.750.705.408.200.750
└─└─

Intégrine bêta4

Integrin beta4 D039663 - D12.776.543.750.705.408.200.800
└─└─

Récepteur vitronectine

Receptors, Vitronectin D019030 - D12.776.543.750.705.408.460.870

Sources (10000 au total)

Using Natural Language Processing and Machine Learning to Identify Opioids in Electronic Health Record Data.

This study evaluates the utility of machine learning (ML) and natural language processing (NLP) in the processing and initial analysis of data within the electronic health record (EHR). We present and... A total of 4216 distinct medication entries were obtained from the EHR and were initially labeled by human reviewers as opioid or non-opioid medications. An approach incorporating bag-of-words NLP and... A total of 3991 medication strings were classified as non-opioid medications (94.7%), and 225 were classified as opioid medications by the human reviewers (5.3%). The algorithm achieved a 99.6% accura... The automated approach achieved excellent performance in classifying opioids or non-opioids, even with a practical number of human reviewed training examples. This will allow a significant reduction i...

Using natural language processing to identify opioid use disorder in electronic health record data.

As opioid prescriptions have risen, there has also been an increase in opioid use disorder (OUD) and its adverse outcomes. Accurate and complete epidemiologic surveillance of OUD, to inform prevention... Data were drawn from EHR records for hospital and emergency department patient visits to a large regional academic medical center from 2017 to 2019. International Classification of Disease, 10th Editi... While there was substantial overlap in the identified records (n = 1,381 [59.2 %]), overall n = 2,332 unique visits were identified. Of the total unique visits, 430 (18.4 %) were identified only by IC... NLP-based algorithms can automate data extraction and identify evidence of opioid use disorder from unstructured electronic healthcare records. The most complete ascertainment of OUD in EHR was combin...

Prediction of intra-abdominal injury using natural language processing of electronic medical record data.

This study aimed to use natural language processing to predict the presence of intra-abdominal injury using unstructured data from electronic medical records.... This was a random-sample retrospective observational cohort study leveraging unstructured data from injured patients taken to one of 9 acute care hospitals in an integrated health system between 2015 ... A random sample of 7,000 patient encounters of 177,127 was annotated. Only 2,951 had sufficient information to determine whether an intra-abdominal injury was present. Among those, 84 (2.9%) had an in... Natural language processing could be a screening decision support tool, which, if paired with human clinical assessment, can maximize precision of intra-abdominal injury identification....

Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing.

Abstracting cerebrovascular disease (CeVD) from inpatient electronic medical records (EMRs) through natural language processing (NLP) is pivotal for automated disease surveillance and improving patien... CeVD status was confirmed through a chart review on randomly selected hospitalized patients who were 18 years or older and discharged from 3 hospitals in Calgary, Alberta, Canada, between January 1 an... Of the study sample (n = 3036), the prevalence of CeVD was 11.8% (n = 360); the median patient age was 63; and females accounted for 50.3% (n = 1528) based on chart data. Among 49 extracted clinical d... The NLP algorithm developed in this study performed better than the ICD code algorithm in detecting CeVD. The NLP models could result in an automated EMR tool for identifying CeVD cases and be applied...

Assessing longitudinal housing status using Electronic Health Record data: a comparison of natural language processing, structured data, and patient-reported history.

Measuring long-term housing outcomes is important for evaluating the impacts of services for individuals with homeless experience. However, assessing long-term housing status using traditional methods... We compared VA EHR indicators of housing instability, including information extracted from clinical notes using natural language processing (NLP), with patient-reported housing outcomes in a cohort of... NLP achieved higher sensitivity and specificity than standard diagnosis codes for detecting episodes of unstable housing. Other structured data elements in the VA EHR showed promising performance, par... Evaluation efforts and research studies assessing longitudinal housing outcomes should incorporate multiple data sources of documentation to achieve optimal performance....

Retrospective study of propionic acidemia using natural language processing in Mayo Clinic electronic health record data.

Propionic acidemia (PA) is a rare autosomal recessive organic acidemia that classically presents within the first days of life with a metabolic crisis or via newborn screening and is confirmed with la... To retrospectively describe the natural history of patients with PA in a clinical setting from a real-world database using both structured and unstructured electronic health record (EHR) data using no... This retrospective study used EHR data to identify patients with PA seen at the Mayo Clinic. Unstructured clinical text (medical notes, pathology reports) were analyzed using augmented curation natura... In total, 13 patients with PA were identified, with visits occurring from 1998 to 2022. Age at diagnosis ranged from birth to 3 years; age at initial evaluation at the Mayo Clinic ranged from 3 days t... This study highlights the range and frequency of clinical outcomes experienced by patients with PA and demonstrates the clinical burden of MDEs....

Evaluation of electronic screening in the preoperative process.

Rising patient numbers, with increasing complexity, challenge the sustainability of the current preoperative process. We evaluated whether an electronic screening application can distinguish patients ... Prospective cohort study.... Preoperative clinic of a tertiary academic hospital.... 1395 adult patients scheduled for surgery or procedural sedation.... We assessed a novel electronic preoperative screening application which consists of a questionnaire with a maximum of 185 questions regarding the patient's medical history and current state of health.... The recommendation of the electronic screening system was compared with the regular preoperative assessment using measures of diagnostic accuracy and agreement. Secondary outcomes included ASA-PS clas... Sensitivity to detect patients who needed additional consultation was 97.5% (95%CI 91.2-99.7) and the negative likelihood ratio was 0.08 (95%CI 0.02-0.32). 407 (29.2%) patients were approved for surge... Electronic screening can reliably identify patients who can have their first contact with an anesthesiologist on the day of surgery, potentially allowing a major proportion of patients to safely bypas...