Comment diagnostiquer une hyperuricémie ?

Un test sanguin mesure le taux d'acide urique pour diagnostiquer l'hyperuricémie.

Quels tests pour la goutte ?

L'analyse du liquide synovial et des tests sanguins pour l'acide urique sont utilisés.

Quels symptômes indiquent une crise de goutte ?

Douleur intense, rougeur et gonflement d'une articulation, souvent le gros orteil.

Comment évaluer une maladie liée aux purines ?

Des tests génétiques et des analyses biochimiques peuvent être nécessaires.

Quel rôle des purines dans le diagnostic ?

Les niveaux de purines peuvent indiquer des troubles métaboliques ou des maladies rénales.

Quels sont les symptômes de l'hyperuricémie ?

Souvent asymptomatique, mais peut causer des douleurs articulaires et des calculs rénaux.

Quels signes de goutte aiguë ?

Douleur intense, rougeur, chaleur et gonflement d'une articulation, souvent nocturne.

Comment se manifeste une crise de goutte ?

Une douleur soudaine et sévère dans une articulation, souvent accompagnée d'inflammation.

Quels symptômes des troubles des purines ?

Fatigue, douleurs articulaires, et parfois des problèmes rénaux ou hépatiques.

Quels symptômes d'une maladie de Wilson ?

Accumulation de cuivre, troubles neurologiques, et symptômes hépatiques.

Comment prévenir l'hyperuricémie ?

Adopter un régime pauvre en purines et éviter l'alcool et les boissons sucrées.

Quelles habitudes pour éviter la goutte ?

Maintenir un poids santé, rester hydraté et limiter les aliments riches en purines.

Comment réduire le risque de calculs rénaux ?

Boire beaucoup d'eau et éviter les aliments riches en oxalates et purines.

Quels conseils diététiques pour les purines ?

Limiter les viandes rouges, les fruits de mer et les boissons alcoolisées.

Comment surveiller les niveaux d'acide urique ?

Des tests sanguins réguliers pour surveiller les niveaux d'acide urique et ajuster le régime.

Comment traiter l'hyperuricémie ?

Des médicaments comme les inhibiteurs de la xanthine oxydase et des changements alimentaires.

Quel traitement pour la goutte ?

Anti-inflammatoires non stéroïdiens (AINS) et colchicine pour soulager la douleur.

Comment prévenir les crises de goutte ?

Éviter les aliments riches en purines et maintenir une hydratation adéquate.

Quels médicaments pour les troubles des purines ?

Des médicaments spécifiques selon le trouble, comme les uricosuriques pour l'hyperuricémie.

Comment gérer les calculs rénaux liés aux purines ?

Hydratation, modifications alimentaires et parfois intervention chirurgicale.

Quelles complications de la goutte ?

Arthrite chronique, dépôts de tophus et risque accru de maladies cardiovasculaires.

Quels risques liés à l'hyperuricémie ?

Peut entraîner des calculs rénaux, des maladies rénales et des problèmes cardiovasculaires.

Comment l'hyperuricémie affecte-t-elle les reins ?

Peut provoquer une néphropathie urique, entraînant des lésions rénales.

Quelles complications des troubles des purines ?

Peuvent inclure des problèmes hépatiques, neurologiques et des troubles métaboliques.

Quels effets à long terme de la goutte ?

Peut entraîner des dommages articulaires permanents et des complications systémiques.

Quels facteurs de risque pour l'hyperuricémie ?

Obésité, consommation excessive d'alcool, régime riche en purines et antécédents familiaux.

Qui est à risque de goutte ?

Les hommes, les personnes obèses et celles ayant des antécédents familiaux de goutte.

Quels médicaments augmentent le risque d'hyperuricémie ?

Diurétiques, aspirine à faible dose et certains médicaments immunosuppresseurs.

Quel rôle de l'alimentation dans les purines ?

Une alimentation riche en viandes rouges, fruits de mer et boissons sucrées augmente le risque.

Comment l'âge influence-t-il l'hyperuricémie ?

Le risque d'hyperuricémie augmente avec l'âge, surtout chez les hommes après 40 ans.

Purines - Informations médicales vérifiées

Fault monitoring method of domestic waste incineration slag sorting device based on back propagation neural network.

30 Mar 2024

DOI: 10.1016/j.heliyon.2024.e27396 PMID: 38510036

The main monitoring points of traditional sorting equipment fault monitoring methods are usually limited to the inlet and outlet, making it difficult to monitor the internal equipment, which may affec...

Highly robust reconstruction framework for three-dimensional optical imaging based on physical model constrained neural networks.

23 Feb 2024

DOI: 10.1088/1361-6560/ad2ca3 PMID: 38394682

The reconstruction of three-dimensional optical imaging that can quantitatively acquire the target distribution from surface measurements is a serious ill-posed problem. The objective of this work is ... This paper proposes a physical model constrained neural networks-based reconstruction framework. In the framework, the neural networks are to generate a target distribution from surface measurements, ... The performance of the proposed framework is evaluated with a series of simulations and in vivo experiment, including accuracy robustness of different target distributions, noise immunity, depth robus... The proposed framework has high accuracy and robustness, as well as good generalizability. Compared with traditional regularization-based reconstruction methods, it eliminates the need to manually del...

iACVP-MR: Accurate Identification of Anti-coronavirus Peptide based on Multiple Features Information and Recurrent Neural Network.

15 Feb 2024

DOI: 10.2174/0109298673277663240101111507 PMID: 38549527

Over the years, viruses have caused human illness and threatened human health. Therefore, it is pressing to develop anti-coronavirus infection drugs with clear function, low cost, and high safety. Ant... In this paper, we construct an excellent model named iACVP-MR to identify ACVP based on multiple features and recurrent neural networks. Multiple features are extracted by using reduced amino acid com... The accuracies of ENNAVIA-C and ENNAVIA-D datasets under the 10-fold cross-validation are 99.15% and 98.92%, respectively, and other evaluation indexes have also obtained satisfactory results. The exp... The iACVP-MR model can be viewed as a powerful and intelligent tool for the accurate identification of ACVP. The datasets and source codes for iACVP-MR are freely downloaded at https://github.com/yuny...

Haemorrhage diagnosis in colour fundus images using a fast-convolutional neural network based on a modified U-Net.

12 Feb 2024

DOI: 10.1080/0954898X.2024.2310687 PMID: 38345038

Retinal haemorrhage stands as an early indicator of diabetic retinopathy, necessitating accurate detection for timely diagnosis. Addressing this need, this study proposes an enhanced machine-based dia...

Length of Stay Prediction With Standardized Hospital Data From Acute and Emergency Care Using a Deep Neural Network.

12 Feb 2024

DOI: 10.1097/MLR.0000000000001975 PMID: 38345863

Length of stay (LOS) is an important metric for the organization and scheduling of care activities. This study sought to propose a LOS prediction method based on deep learning using widely available a... All admissions between January 1, 2011 and December 31, 2019, at 6 university hospitals of the Hospices Civils de Lyon metropolis were included, leading to a cohort of 1,140,100 stays of 515,199 patie... The FFNN achieved an accuracy of 0.944 (CI: 0.937, 0.950) and a kappa of 0.943 (CI: 0.935, 0.950). For the same metrics, random forest yielded 0.574 (CI: 0.573, 0.575) and 0.602 (CI: 0.601, 0.603), re... The FFNN was better at predicting LOS than random forest or logistic regression. Implementing the FFNN model for routine acute care could be useful for improving the quality of patients' care....

Semi-supervised low-dose SPECT restoration using sinogram inner-structure aware graph neural network.

07 Feb 2024

DOI: 10.1088/1361-6560/ad2716 PMID: 38324896

To mitigate the potential radiation risk, low-dose Single Photon Emission Computed Tomography (SPECT) is of increasing interest. Numerous deep learning-based methods have been developed to perform low... The proposed framework retains the strengths of UNet, meanwhile introducing a sinogram-structure-based non-local neighbors graph neural network (SSN-GNN) module and a window-based K-nearest neighbors ... The datasets exploited in this study were acquired from the XCAT anthropomorphic digital phantoms, which provide realistic images for imaging research of various modalities. Quantitative as well as qu... The proposed framework improves the quality of low-dose SPECT reconstructed images by utilizing sinogram inner-structure and incorporating supplementary unlabeled data, which provides an important too...

3D convolutional neural networks uncover modality-specific brain-imaging predictors for Alzheimer's disease sub-scores.

04 Feb 2024

DOI: 10.1186/s40708-024-00218-x PMID: 38310619

Different aspects of cognitive functions are affected in patients with Alzheimer's disease. To date, little is known about the associations between features from brain-imaging and individual Alzheimer...

Efficient FPGA Implementation of Convolutional Neural Networks and Long Short-Term Memory for Radar Emitter Signal Recognition.

30 Jan 2024

DOI: 10.3390/s24030889 PMID: 38339606

In recent years, radar emitter signal recognition has enjoyed a wide range of applications in electronic support measure systems and communication security. More and more deep learning algorithms have...

An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance.

25 Jan 2024

DOI: 10.1038/s41598-024-52462-0 PMID: 38273051

As is known, having a reliable analysis of energy sources is an important task toward sustainable development. Solar energy is one of the most advantageous types of renewable energy. Compared to fossi...

Embedded Spatial-Temporal Convolutional Neural Network Based on Scattered Light Signals for Fire and Interferential Aerosol Classification.

25 Jan 2024

DOI: 10.3390/s24030778 PMID: 38339495

Photoelectric smoke detectors are the most cost-effective devices for very early warning fire alarms. However, due to the different light intensity response values of different kinds of fire smoke and...

Purines : Questions médicales fréquentes

Termes MeSH sélectionnés :

Sous-catégories

Adénine

Allopurinol

Mercaptopurine

Purinones

Roscovitine

Citrate de sildénafil

Tioguanine

Amino-2 purine

Cytokinine

Famciclovir

Ténofovir

Hypoxanthines

Xanthines

Kinétine

Zéatine

Guanine

Hypoxanthine

Caféine

Théobromine

Théophylline

Acide urique

Xanthine

Aciclovir

8-Azaguanine

Pentoxifylline

Diphylline

Xanthine(isobutyl-3 methyl-1)

Nicotinate de xanthinol

Ganciclovir

Valaciclovir

Valganciclovir

Sources (10000 au total)