Titre : Pharmacoépidémiologie

Pharmacoépidémiologie : Questions médicales fréquentes

Termes MeSH sélectionnés :

Logistic Models
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sont utilisés pour le diagnostic pharmacoépidémiologique ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des bases de données de santé, des registres et des enquêtes sont utilisés." } }, { "@type": "Question", "name": "Quelles sont les méthodes d'analyse en pharmacoépidémiologie ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les méthodes incluent l'analyse de régression, les études cas-témoins et les méta-analyses." } }, { "@type": "Question", "name": "Comment identifier les effets indésirables des médicaments ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Les effets indésirables sont identifiés par des études de pharmacovigilance et des rapports." } }, { "@type": "Question", "name": "Quel rôle joue la surveillance dans le diagnostic ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "La surveillance permet de détecter rapidement les problèmes de sécurité des médicaments." } }, { "@type": "Question", "name": "Quels symptômes peuvent indiquer une réaction médicamenteuse ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Des symptômes comme des éruptions cutanées, des nausées ou des vertiges peuvent survenir." } }, { "@type": "Question", "name": "Comment les symptômes varient-ils selon les populations ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes peuvent varier en fonction de l'âge, du sexe et des comorbidités." } }, { "@type": "Question", "name": "Quels sont les symptômes d'une surdose médicamenteuse ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent confusion, somnolence, nausées et troubles respiratoires." } }, { "@type": "Question", "name": "Comment les symptômes sont-ils rapportés en études ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes sont rapportés par les patients, les médecins et les bases de données." } }, { "@type": "Question", "name": "Quels outils mesurent les symptômes liés aux médicaments ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des questionnaires standardisés et des échelles d'évaluation sont utilisés." } }, { "@type": "Question", "name": "Comment prévenir les effets indésirables des médicaments ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "La prévention inclut l'éducation des patients et la surveillance des prescriptions." } }, { "@type": "Question", "name": "Quels programmes aident à prévenir les erreurs médicamenteuses ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Des programmes de formation et des systèmes de double vérification sont mis en place." } }, { "@type": "Question", "name": "Comment la vaccination est-elle intégrée en pharmacoépidémiologie ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "La vaccination est étudiée pour évaluer son efficacité et ses effets secondaires dans la population." } }, { "@type": "Question", "name": "Quel rôle joue l'information dans la prévention ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "L'information aide les patients à comprendre les risques et à suivre les traitements correctement." } }, { "@type": "Question", "name": "Comment les campagnes de sensibilisation influencent-elles la prévention ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Les campagnes augmentent la sensibilisation aux risques et encouragent des comportements sûrs." } }, { "@type": "Question", "name": "Comment évaluer l'efficacité d'un traitement médicamenteux ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "L'efficacité est évaluée par des essais cliniques et des études d'observation." } }, { "@type": "Question", "name": "Quels traitements sont souvent étudiés en pharmacoépidémiologie ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements pour les maladies chroniques, les infections et les cancers sont courants." } }, { "@type": "Question", "name": "Comment les interactions médicamenteuses sont-elles gérées ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Les interactions sont gérées par des recommandations cliniques et des alertes de sécurité." } }, { "@type": "Question", "name": "Quel est l'impact des traitements sur la qualité de vie ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements peuvent améliorer la qualité de vie, mais des effets secondaires peuvent survenir." } }, { "@type": "Question", "name": "Comment les traitements sont-ils adaptés aux populations spécifiques ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements sont adaptés en fonction de l'âge, du sexe et des caractéristiques génétiques." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir avec certains médicaments ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications comme des réactions allergiques, des troubles hépatiques ou rénaux peuvent survenir." } }, { "@type": "Question", "name": "Comment les complications sont-elles surveillées ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Les complications sont surveillées par des systèmes de pharmacovigilance et des rapports cliniques." } }, { "@type": "Question", "name": "Quel est l'impact des complications sur la santé publique ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Les complications peuvent augmenter les coûts de santé et affecter la qualité de vie des patients." } }, { "@type": "Question", "name": "Comment prévenir les complications liées aux médicaments ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "La prévention passe par une prescription appropriée et un suivi régulier des patients." } }, { "@type": "Question", "name": "Quels facteurs augmentent le risque de complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'âge, les comorbidités et les interactions médicamenteuses." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque en pharmacoépidémiologie ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'âge, le sexe, les antécédents médicaux et les habitudes de vie." } }, { "@type": "Question", "name": "Comment les comorbidités influencent-elles les traitements ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Les comorbidités peuvent nécessiter des ajustements de traitement pour éviter les complications." } }, { "@type": "Question", "name": "Quel rôle joue la génétique dans les facteurs de risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "La génétique peut influencer la réponse aux médicaments et le risque d'effets indésirables." } }, { "@type": "Question", "name": "Comment les habitudes de vie affectent-elles la santé médicamenteuse ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Les habitudes comme le tabagisme ou l'alimentation peuvent modifier l'efficacité des médicaments." } }, { "@type": "Question", "name": "Quels outils évaluent les facteurs de risque ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Des questionnaires et des modèles prédictifs sont utilisés pour évaluer les facteurs de risque." } } ] } ] }

Sources (10000 au total)

Multiple logistic regression model to predict bile leak associated with subtotal cholecystectomy.

There are no prediction models for bile leakage associated with subtotal cholecystectomy (STC). Therefore, this study aimed to generate a multivariable prediction model for post-STC bile leakage and e... We analysed prospectively managed data of patients who underwent STC by a single consultant surgeon between 14 May 2013 and 21 December 2021. STC was schematised into four variants with five subvarian... A total of 81 patients underwent the STC procedure. Twenty-eight patients (35%) developed bile leakage. Of these, 18 patients (64%) required secondary surgical intervention. Multivariable logistic reg... Open-tract STC and acute cholecystitis are the most reliable predictors of bile leakage associated with STC. Future prospective, multicentre studies with higher statistical power are needed to generat...

Combining proteomic markers to construct a logistic regression model for polycystic ovary syndrome.

Proteomics technology has been used in various fields in recent years for the Q6 exploration of novel markers and the study of disease pathogenesis, and has become one of the most important tools for ... In our previous study we used DIA proteomics to screen for proteins that were significant in 31 PCOS patients compared to women of normal reproductive age. In this study, we used logistic regression a... We constructed a logistic model using these protein markers, where HIST1H4A (OR=1.037) was an independent risk factor for polycystic ovary syndrome and TREML1 (OR=0.976) were protective factors for th... Our study is the first to use proteomic results with clinical biochemical data to construct a logistic regression model, and the model is consistent. However, our study still needs a more complete sam...

Establishment of HIV-negative neurosyphilis risk score model based on logistic regression.

To establish the risk scoring model for HIV-negative neurosyphilis (NS) patients and to optimize the lumbar puncture strategy.... From 2016 to 2021, clinical information on 319 syphilis patients was gathered. Multivariate logistic regression was used to examine the independent risk factors in NS patients who tested negative for ... There were statistically significant differences between HIV-negative NS and non-neurosyphilis (NNS) patients in the following factors. These included age, gender, neuropsychiatric symptoms (including... The risk scoring model in this study can classify the risk of neurosyphilis in syphilis patients, optimize the lumbar puncture strategy to a certain extent, and provide ideas for the clinical diagnosi...

Adjustment for baseline characteristics in randomized trials using logistic regression: sample-based model versus true model.

Adjustment for baseline prognostic factors in randomized clinical trials is usually performed by means of sample-based regression models. Sample-based models may be incorrect due to overfitting. To as... We conducted a simulation study using samples drawn from a "population" in which both the treatment effect and the effect of the potential confounder were specified. The outcome variable was binary. U... Sample-based adjustment models yielded more biased estimates of the treatment effect than adjustment models that used the true confounder effect but had similar variance, accuracy, power, and type 1 e... Sample-based adjustment yields similar results to exact adjustment in estimating the treatment effect. Sample-based adjustment is preferable to no adjustment....

A calibration and uncertainty quantification analysis of classical, fractional and multiscale logistic models of tumour growth.

The validation of mathematical models of tumour growth is frequently hampered by the lack of sufficient experimental data, resulting in qualitative rather than quantitative studies. Recent approaches ... The multiscale expansion of logistic growth models was performed by coupling gene expression profiles to the cell death rates. State-of-the-art Bayesian inference, likelihood maximisation and uncertai... The results suggest that the classical single-cell population model (SCPM) was the best fit for the untreated and low-dose treatment conditions, while the multiscale model with a cell death rate symme... Overall, the present study demonstrates that model performance can be improved by incorporating multiscale measurements of tumour growth when high-dose treatment is involved....

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression.

Multinomial logistic regression models allow one to predict the risk of a categorical outcome with > 2 categories. When developing such a model, researchers should ensure the number of participants (... The first criterion aims to minimise the model overfitting. The second aims to minimise the difference between the observed and adjusted... We tested the performance of the proposed criteria (i) through a simulation study and found that it resulted in the desired level of overfitting. Criterion (ii) and (iii) were natural extensions from ... We illustrated how to implement the sample size criteria through a worked example considering the development of a multinomial risk prediction model for tumour type when presented with an ovarian mass...

A novel multivariate logistic model for predicting risk factors of failed treatment with carbapenem-resistant

This study aimed to explore the risk factors for failed treatment of carbapenem-resistant... A total of 189 CRAB-VAP patients were included in the safety analysis set from two Grade 3 A national-level hospitals between 1 January 2022 and 31 December 2022. The risk factors for failed treatment... Of the 189 patients, 106 (56.1%) patients were in the successful treatment group, and 83 (43.9%) patients were in the failed treatment group. The multivariate logistic model analysis showed that age (... Age, hypoproteinemia, daily dose, medication within 14 days prior to surgical intervention, and microbial clearance are all significant risk factors for failed treatment with CRAB-VAP, with the nomogr...