Titre : Thrombose veineuse profonde du membre supérieur

Thrombose veineuse profonde du membre supérieur : Questions médicales fréquentes

Termes MeSH sélectionnés :

Logistic Models
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une thrombose d'une blessure ?\nLes symptômes peuvent-ils varier ?\nY a-t-il des symptômes systémiques ?", "url": "https://questionsmedicales.fr/mesh/D056824?mesh_terms=Logistic+Models&page=8#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Thrombose veineuse profonde du membre supérieur", "description": "Comment prévenir la thrombose veineuse profonde ?\nLes bas de compression sont-ils utiles ?\nQuels médicaments peuvent prévenir la thrombose ?\nL'hydratation joue-t-elle un rôle ?\nLes exercices sont-ils importants ?", "url": "https://questionsmedicales.fr/mesh/D056824?mesh_terms=Logistic+Models&page=8#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Thrombose veineuse profonde du membre supérieur", "description": "Quels traitements sont disponibles ?\nQuand utiliser des thrombolytiques ?\nLa compression est-elle recommandée ?\nQuel suivi est nécessaire après traitement ?\nLes traitements sont-ils efficaces ?", "url": "https://questionsmedicales.fr/mesh/D056824?mesh_terms=Logistic+Models&page=8#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Thrombose veineuse profonde du membre supérieur", "description": "Quelles sont les complications possibles ?\nComment l'embolie pulmonaire se produit-elle ?\nY a-t-il des risques à long terme ?\nLes complications sont-elles fréquentes ?\nComment prévenir les complications ?", "url": "https://questionsmedicales.fr/mesh/D056824?mesh_terms=Logistic+Models&page=8#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Thrombose veineuse profonde du membre supérieur", "description": "Quels sont les principaux facteurs de risque ?\nL'âge influence-t-il le risque ?\nLes femmes enceintes sont-elles à risque ?\nLe tabagisme est-il un facteur de risque ?\nLes maladies chroniques augmentent-elles le risque ?", "url": "https://questionsmedicales.fr/mesh/D056824?mesh_terms=Logistic+Models&page=8#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostiquer une thrombose veineuse profonde ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Un écho-Doppler veineux est souvent utilisé pour confirmer la présence d'un caillot." } }, { "@type": "Question", "name": "Quels tests sanguins sont utiles ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les tests de D-dimères peuvent aider à évaluer la probabilité d'une thrombose." } }, { "@type": "Question", "name": "Quels signes cliniques indiquent une thrombose ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Un gonflement, une douleur ou une rougeur dans le bras peuvent indiquer une thrombose." } }, { "@type": "Question", "name": "Quand faire un scanner pour le diagnostic ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Un scanner peut être requis si l'échographie est inconclusive ou si des complications sont suspectées." } }, { "@type": "Question", "name": "La thrombose peut-elle être asymptomatique ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certaines personnes peuvent ne présenter aucun symptôme malgré la présence d'un caillot." } }, { "@type": "Question", "name": "Quels sont les symptômes courants ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent douleur, gonflement, chaleur et rougeur dans le bras affecté." } }, { "@type": "Question", "name": "La douleur est-elle toujours présente ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Non, la douleur peut être légère ou absente, rendant le diagnostic difficile." } }, { "@type": "Question", "name": "Comment différencier une thrombose d'une blessure ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "La douleur d'une thrombose est souvent persistante et accompagnée de gonflement." } }, { "@type": "Question", "name": "Les symptômes peuvent-ils varier ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les symptômes peuvent varier selon la taille du caillot et la localisation." } }, { "@type": "Question", "name": "Y a-t-il des symptômes systémiques ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des symptômes comme la fièvre peuvent survenir si une infection est présente." } }, { "@type": "Question", "name": "Comment prévenir la thrombose veineuse profonde ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Maintenir une activité physique régulière et éviter l'immobilité prolongée aide à prévenir." } }, { "@type": "Question", "name": "Les bas de compression sont-ils utiles ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, ils aident à améliorer la circulation sanguine et à réduire le risque de thrombose." } }, { "@type": "Question", "name": "Quels médicaments peuvent prévenir la thrombose ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Les anticoagulants peuvent être prescrits pour les patients à risque élevé de thrombose." } }, { "@type": "Question", "name": "L'hydratation joue-t-elle un rôle ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Oui, une bonne hydratation aide à fluidifier le sang et à prévenir la formation de caillots." } }, { "@type": "Question", "name": "Les exercices sont-ils importants ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des exercices réguliers favorisent la circulation sanguine et réduisent le risque." } }, { "@type": "Question", "name": "Quels traitements sont disponibles ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les anticoagulants sont le traitement principal pour dissoudre le caillot." } }, { "@type": "Question", "name": "Quand utiliser des thrombolytiques ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les thrombolytiques sont utilisés dans les cas graves pour dissoudre rapidement le caillot." } }, { "@type": "Question", "name": "La compression est-elle recommandée ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des bas de compression peuvent aider à réduire le gonflement et améliorer la circulation." } }, { "@type": "Question", "name": "Quel suivi est nécessaire après traitement ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Un suivi régulier est essentiel pour surveiller la résorption du caillot et prévenir les récidives." } }, { "@type": "Question", "name": "Les traitements sont-ils efficaces ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Oui, avec un traitement approprié, la plupart des patients se rétablissent complètement." } }, { "@type": "Question", "name": "Quelles sont les complications possibles ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent l'embolie pulmonaire, qui peut être mortelle si non traitée." } }, { "@type": "Question", "name": "Comment l'embolie pulmonaire se produit-elle ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Un caillot peut se détacher et voyager vers les poumons, bloquant une artère pulmonaire." } }, { "@type": "Question", "name": "Y a-t-il des risques à long terme ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains patients peuvent développer un syndrome post-thrombotique avec douleur chronique." } }, { "@type": "Question", "name": "Les complications sont-elles fréquentes ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Les complications graves sont rares mais nécessitent une attention médicale rapide." } }, { "@type": "Question", "name": "Comment prévenir les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Un traitement précoce et un suivi régulier sont essentiels pour prévenir les complications." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'immobilité prolongée, les antécédents de thrombose et certaines maladies." } }, { "@type": "Question", "name": "L'âge influence-t-il le risque ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le risque de thrombose augmente avec l'âge, surtout après 60 ans." } }, { "@type": "Question", "name": "Les femmes enceintes sont-elles à risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, la grossesse augmente le risque de thrombose en raison des changements hormonaux." } }, { "@type": "Question", "name": "Le tabagisme est-il un facteur de risque ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, le tabagisme augmente le risque de thrombose en affectant la circulation sanguine." } }, { "@type": "Question", "name": "Les maladies chroniques augmentent-elles le risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des maladies comme le cancer ou les maladies cardiaques augmentent le risque de thrombose." } } ] } ] }

Sources (10000 au total)

Comparison of static and rolling logistic regression models on predicting invasive mechanical ventilation or death from COVID-19-A retrospective, multicentre study.

COVID-19 virus has undergone mutations, and the introduction of vaccines and effective treatments have changed its clinical severity. We hypothesized that models that evolve may better predict invasiv... This retrospective study of adult patients with COVID-19 from six Michigan hospitals analysed 20 demographic, comorbid, vital sign and laboratory factors, one derived factor and nine factors represent... Of the 7041 patients, 534 (7.6%) required invasive mechanical ventilation or died within 14 days of arrival. Rolling models improved discrimination (0.865 ± 0.010, 0.856 ± 0.007 and 0.843 ± 0.005 for ... Rolling models with contemporaneous data maintained better metrics of performance than static models, which used older data....

Developing a logistic regression model to predict spontaneous preterm birth from maternal socio-demographic and obstetric history at initial pregnancy registration.

Current predictive machine learning techniques for spontaneous preterm birth heavily rely on a history of previous preterm birth and/or costly techniques such as fetal fibronectin and ultrasound measu... We aimed to develop a predictive model for spontaneous preterm delivery < 37 weeks using socio-demographic and clinical data readily available at booking -an approach which could be suitable for all w... We developed a logistic regression model using seven feature variables derived from maternal socio-demographic and obstetric history from a preterm birth (n = 917) and a matched full-term (n = 100) co... The retrospective model showed good predictive accuracy with an AUC of 0.76 (95% CI: 0.71-0.83) for spontaneous preterm birth, with a sensitivity and specificity of 0.71 (95% CI: 0.66-0.76) and 0.78 (... Pending further validation, our observations suggest that key maternal demographic features, incorporated into a traditional mathematical model, have promising predictive utility for spontaneous prete...

Factors associated with a better treatment efficacy among psoriasis patients: a study based on decision tree model and logistic regression in Shanghai, China.

Many effective therapies for psoriasis are being applied in clinical practice in recent years, however, some patients still can't achieve satisfied effect even with biologics. Therefore, it is crucial... We implemented an observational study and recruited 512 psoriasis patients in Shanghai Skin Diseases Hospital from 2021 to 2022. We used face-to-face questionnaire interview and physical examination t... The 512 patients were predominately males (72.1%), with a median age of 47.5 years. In this study, 245 patients achieved ≥ 75% improvement in psoriasis area and severity index (PASI) score in week 8 a... Psoriasis patients with higher education, without tobacco smoking, alcohol drinking and psoriasis family history had better treatment efficacy. Decision tree model had similar predicting effect with t...

Complete sources of cluster variation on the risk of under-five malaria in Uganda: a multilevel-weighted mixed effects logistic regression model approach.

Malaria, a major cause of mortality worldwide is linked to a web of determinants ranging from individual to contextual factors. This calls for examining the magnitude of the effect of clustering withi... This study applied a multilevel-weighted mixed effects logistic regression model to account for both individual and contextual factors.... Every additional year in a child's age was positively associated with malaria infection (AOR = 1.42; 95% CI 1.33-1.52). Children whose mothers had at least a secondary school education were less likel... Interventions towards reducing the burden of under-five malaria should be prioritized to improve individual-level characteristics compared to household-level features. Enumeration area (EA) specific i...

Prevalence of stunting and associated factors among under-five children in sub-Saharan Africa: Multilevel ordinal logistic regression analysis modeling.

Stunting is still a major public health problem all over the world, it affecting more than one-third of under-five children in the world that leads to growth retardation, life-threatening complication... This study was based on the most recent Demographic and Health Survey data of 36 sub-Saharan African countries. A total of 203,852(weighted sample) under-five children were included in the analysis. T... In this study, the prevalence of stunting among under-five children in Sub-Saharan Africa 34.04% (95% CI: 33.83%, 34.24%) with a large difference between specific countries which ranges from 16.14% in... Stunting among under-five children is still public health problem in Sub-Saharan Africa. Therefore designing interventions to address diarrhea and other infectious disease, improving the literacy leve...

Differential diagnosis of atypical and anaplastic meningiomas based on conventional MRI features and ADC histogram parameters using a logistic regression model nomogram.

The purpose of the study was to determine the value of a logistic regression model nomogram based on conventional magnetic resonance imaging (MRI) features and apparent diffusion coefficient (ADC) his...

Development and Validation of Models to Predict Lymph Node Metastasis in Early Gastric Cancer Using Logistic Regression and Gradient Boosting Machine Methods.

To identify important features of lymph node metastasis (LNM) and develop a prediction model for early gastric cancer (EGC) using a gradient boosting machine (GBM) method.... The clinicopathologic data of 2556 patients with EGC who underwent gastrectomy were used as training set and the internal validation set (set 1) at a ratio of 8:2. Additionally, 548 patients with EGC ... LNM was identified in 12.6% (321/2556) of the gastrectomy group (training set & set 1) and 4.3% (24/548) of the ESD group (set 2). In the GBM analysis, the top five features that most affected LNM wer... The GBM model showed good performance comparable with the eCura system in predicting LNM risk in EGCs....

Risk prediction model for early postoperative death in patients with hepatocellular carcinoma: a retrospective study based on random forest algorithm and logistic regression.

At present, little is known about the risk factors of early postoperative death in patients with hepatocellular carcinoma (HCC).... We collected the data of patients who were diagnosed with primary liver cancer between 2010 and 2015 in the Surveillance, Epidemiology, and End Results database and further allocated them to the train... A total of 4154 patients were selected in this process, including 2647 patients with postoperative early death (outcome1) and 1507 patients with liver cancer-specific postoperative early death (outcom... This model provides an intuitive and practical tool for future studies based on large-scale cohorts by exploring the risk factors of early death in patients with HCCs undergoing surgery....