questionsmedicales.fr
Phénomènes physiques
Phénomènes magnétiques
Phénomènes électromagnétiques
Électricité
Conductivité électrique
Conductivité électrique : Questions médicales fréquentes
Termes MeSH sélectionnés :
Diagnostic
5
Électrocardiographie
Conductivité électrique
Conduction nerveuse
Neurophysiologie
Impedance bioélectrique
Bioélectromagnétisme
Électrodes
Analyse de laboratoire
Électrocardiographie
Physiologie cardiaque
Symptômes
5
Palpitations
Douleur thoracique
Engourdissement
Faiblesse musculaire
Déshydratation
Crampes musculaires
Neuropathie
Douleur neuropathique
Hyperkaliémie
Troubles du rythme
Prévention
5
Prévention des maladies
Mode de vie sain
Exercice physique
Santé nerveuse
Alimentation
Électrolytes
Gestion du stress
Méditation
Traitements
5
Gabapentine
Neuropharmacologie
Réhabilitation
Physiothérapie
Suppléments nutritionnels
Magnésium
Complications
5
Arythmie
Insuffisance cardiaque
Troubles du rythme
Accident vasculaire cérébral
Déshydratation
Troubles électrolytiques
Carence en électrolytes
Crampes musculaires
Facteurs de risque
5
Diurétiques
Équilibre électrolytique
Vieillissement
Physiologie cardiaque
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"@type": "Question",
"name": "Quels tests mesurent la conductivité neuronale ?",
"position": 2,
"acceptedAnswer": {
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"@type": "Question",
"name": "Quels appareils mesurent la conductivité des tissus ?",
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"name": "Quels symptômes d'une neuropathie sont liés à la conductivité ?",
"position": 9,
"acceptedAnswer": {
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{
"@type": "Question",
"name": "Quels symptômes peuvent indiquer une hyperkaliémie ?",
"position": 10,
"acceptedAnswer": {
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"text": "Des palpitations, une faiblesse musculaire et des troubles du rythme cardiaque peuvent survenir."
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{
"@type": "Question",
"name": "Comment prévenir les troubles de la conductivité cardiaque ?",
"position": 11,
"acceptedAnswer": {
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"text": "Maintenir un mode de vie sain, éviter le tabac et gérer le stress aide à prévenir ces troubles."
}
},
{
"@type": "Question",
"name": "Quels exercices favorisent la santé nerveuse ?",
"position": 12,
"acceptedAnswer": {
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"text": "Des exercices réguliers, comme la marche ou le yoga, améliorent la santé nerveuse."
}
},
{
"@type": "Question",
"name": "Comment éviter la déshydratation ?",
"position": 13,
"acceptedAnswer": {
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"text": "Boire suffisamment d'eau et consommer des aliments riches en eau aide à prévenir la déshydratation."
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{
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"name": "Quels aliments sont bons pour la conductivité ?",
"position": 14,
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"position": 15,
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"name": "Comment traiter une conduction cardiaque anormale ?",
"position": 16,
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"@type": "Question",
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{
"@type": "Question",
"name": "Comment la rééducation peut-elle aider la conductivité ?",
"position": 18,
"acceptedAnswer": {
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"@type": "Question",
"name": "Quels suppléments peuvent améliorer la conductivité ?",
"position": 19,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des suppléments de magnésium et de potassium peuvent aider à réguler la conductivité électrique."
}
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{
"@type": "Question",
"name": "Quel rôle joue l'alimentation dans la conductivité ?",
"position": 20,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une alimentation équilibrée riche en électrolytes favorise une bonne conductivité électrique."
}
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{
"@type": "Question",
"name": "Quelles complications peuvent survenir avec une arythmie ?",
"position": 21,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les complications incluent l'insuffisance cardiaque, les AVC et les arrêts cardiaques."
}
},
{
"@type": "Question",
"name": "Quels risques sont associés à une neuropathie non traitée ?",
"position": 22,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une neuropathie non traitée peut entraîner des blessures, des infections et des amputations."
}
},
{
"@type": "Question",
"name": "Comment une mauvaise conductivité peut-elle affecter le cœur ?",
"position": 23,
"acceptedAnswer": {
"@type": "Answer",
"text": "Elle peut provoquer des troubles du rythme cardiaque, augmentant le risque d'accidents vasculaires."
}
},
{
"@type": "Question",
"name": "Quelles sont les conséquences d'une déshydratation sévère ?",
"position": 24,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une déshydratation sévère peut entraîner des troubles électrolytiques et des complications cardiaques."
}
},
{
"@type": "Question",
"name": "Quels effets une carence en électrolytes peut-elle avoir ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une carence peut provoquer des crampes, des arythmies et des troubles neurologiques."
}
},
{
"@type": "Question",
"name": "Quels facteurs augmentent le risque d'arythmie ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'hypertension, le diabète, l'obésité et le tabagisme augmentent le risque d'arythmie."
}
},
{
"@type": "Question",
"name": "Comment le diabète affecte-t-il la conductivité nerveuse ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Le diabète peut endommager les nerfs, entraînant une neuropathie et une mauvaise conductivité."
}
},
{
"@type": "Question",
"name": "Quels médicaments peuvent affecter la conductivité ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certains médicaments, comme les diurétiques, peuvent perturber l'équilibre électrolytique."
}
},
{
"@type": "Question",
"name": "Quel rôle joue l'âge dans la conductivité cardiaque ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "Avec l'âge, le risque de troubles de la conductivité cardiaque augmente en raison de changements physiologiques."
}
},
{
"@type": "Question",
"name": "Comment le stress influence-t-il la conductivité ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Le stress chronique peut affecter la conductivité cardiaque et nerveuse, augmentant les risques."
}
}
]
}
]
}
Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale
Validation scientifique effectuée le 16/04/2025
Contenu vérifié selon les dernières recommandations médicales
3 publications dans cette catégorie
Affiliations :
Department of Chemistry, Massachusetts Institute of Technology Cambridge MA 02139 USA.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
Department of Chemistry, Massachusetts Institute of Technology Cambridge MA 02139 USA.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
Department of Textile Design and Management, Faculty of Textile Technology, University of Zagreb, 10000 Zagreb, Croatia.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
Department of Engineering Mechanics, Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
Department of Textile Design and Management, Faculty of Textile Technology, University of Zagreb, 10000 Zagreb, Croatia.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
National Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093,China.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
National Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093,China.
Publications dans "Conductivité électrique" :
2 publications dans cette catégorie
Affiliations :
Department of Mechanical Engineering, Toyohashi University of Technology, Toyohashi, Aichi441-8580, Japan.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Department of Chemistry and Biochemistry, Material Science Institute, University of Oregon Eugene OR 97403 USA cbrozek@uoregon.edu.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Department of Chemistry and Biochemistry, Material Science Institute, University of Oregon Eugene OR 97403 USA cbrozek@uoregon.edu.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Department of Chemistry and Biochemistry, Material Science Institute, University of Oregon Eugene OR 97403 USA cbrozek@uoregon.edu.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Department of Chemistry and Biochemistry, Material Science Institute, University of Oregon Eugene OR 97403 USA cbrozek@uoregon.edu.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Institute of Materials Engineering, Faculty of Science and Technology, University of Silesia, 75 Pułku Piechoty 1A, 41-500 Chorzow, Poland.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Institute of Materials Engineering, Faculty of Science and Technology, University of Silesia, 75 Pułku Piechoty 1A, 41-500 Chorzow, Poland.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Institute of Materials Engineering, Faculty of Science and Technology, University of Silesia, 75 Pułku Piechoty 1A, 41-500 Chorzow, Poland.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Institute of Materials Engineering, Faculty of Science and Technology, University of Silesia, 75 Pułku Piechoty 1A, 41-500 Chorzow, Poland.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Institute of Applied Physics, Military University of Technology, 2 Gen. Sylwestra Kaliskiego St., 00-908 Warsaw, Poland.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Beijing Key Laboratory of Novel Thin Film Solar Cells, North China Electric Power University, Beijing, 102206, China; College of Environmental Science and Engineering, North China Electric Power University, Beijing, 102206, China.
Publications dans "Conductivité électrique" :
1 publication dans cette catégorie
Affiliations :
Beijing Key Laboratory of Novel Thin Film Solar Cells, North China Electric Power University, Beijing, 102206, China.
Publications dans "Conductivité électrique" :
The prevalence of metabolic syndrome is increasing worldwide. Clinical guidelines consider metabolic syndrome as an all or none medical condition. One proposed method for classifying metabolic syndrom...
In this study, we used data from the Tehran Lipid and Glucose Cohort Study (TLGS). 4857 participants aged over 20 years with complete information on exposure (smoking) and confounders in the third pha...
Based on the results of IPTW which compared the low, medium and high risk classes of metabolic syndrome (compared to a class without metabolic syndrome), no association was found between smoking and t...
Based on the results, the causal effect of smoking on latent hazard classes of metabolic syndrome can be different based on the type of PS method. In adjusted analysis, no relationship was observed be...
Latent class analysis (LCA) offers a powerful analytical approach for categorizing groups (or "classes") within a heterogenous population. LCA identifies these hidden classes by a set of predefined fe...
Borderline personality disorder (BPD) is characterized by instability in interpersonal, affective, cognitive, self-identity, and behavioral domains. For a BPD diagnosis, individuals must present at le...
South Africa has the largest burden of HIV worldwide and has a growing burden of non-communicable diseases; the combination of which may lead to diseases clustering in ways that are not seen in other ...
Data were analyzed from the South African Demographic and Health Survey 2016. A latent class analysis (LCA) was conducted using nine disease conditions. Sociodemographic and behavioral factors associa...
Multimorbid participants were included (...
This study affirmed that integrated care is urgently needed, evidenced by the largest disease class being an overlap of chronic infectious diseases and non-communicable diseases. This study also highl...
We propose a two-step estimator for multilevel latent class analysis (LCA) with covariates. The measurement model for observed items is estimated in its first step, and in the second step covariates a...
Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weig...
Neonates who received neonatal care at an academic public hospital during an almost 10-year period (n = 19,951) were included in the latent class analysis, and 21 neonatal indicators of health were us...
The best fitting model included five infant classes: healthy, hypoxic, critically ill, minorly ill, and complicated delivery. Scores on the parent-rated neurodevelopmental measure differed by class su...
The current study extends the understanding of risk factors in neurodevelopment by including several neonatal medical conditions that are often overlooked and by using a person-centered, as opposed to...
An intersectionality framework recognizes individuals as simultaneously inhabiting multiple intersecting social identities embedded within systems of disadvantage and privilege. Previous research link...
We analyzed data from a cohort of 2,286 pregnant participants (Black, n = 933; Hispanic, n = 471; White, n = 853; and Other, n = 29) from the Centering and Racial Disparities trial. Perceived discrimi...
Four discrimination subgroups were identified: no discrimination, general discrimination, discrimination attributed to one or several social identities, and discrimination attributed to most or all so...
Perceived discrimination may play an influential role in shaping perinatal health. More research applying an intersectional lens to the study of discrimination and perinatal health outcomes is needed....
Recent studies have shown that anticoagulant therapy has heterogeneous treatment effects on patients with sepsis-induced coagulopathy (SIC)....
To identify the latent phenotypes of patients with SIC....
Retrospective cohort study....
We obtained data of patients with SIC from the Medical Information Mart for Intensive Care IV database. SIC subphenotypes were identified by latent class analysis (LCA) and K-means clustering. Clinica...
We identified 4,993 patients with SIC. The LCA and K-means clustering analysis robustly identified three subphenotypes of SIC. Class 1 patients (n = 1,808) had the lowest blood cell counts (leukocytes...
Three SIC subphenotypes were defined using clinical findings and laboratory variables. The effects of heparin treatment differ between the subphenotypes. This finding will facilitate the identificatio...
Despite evidence demonstrating the effectiveness of the COVID-19 vaccine, vaccine hesitancy has emerged as a major challenge for vaccine uptake. The objective of this study was to classify latent typo...
We employed a cross-sectional household survey among 1,112 individuals aged 18 and above who were partially vaccinated (one dose) or not vaccinated at the time of the survey. Data was collected in Aug...
Using latent class analysis we found a four-class solution for vaccine hesitancy typologies. The identified classes were strong vaccine acceptors (30%); vaccine acceptors with some concerns (7%); vacc...
Half of the study participants were in the vaccine rejectors class. Individuals in the vaccine sceptics and rejector classes evidenced lower vaccine knowledge and worse COVD-19 prevention practices an...
General practitioners (GPs) were on the front line of the COVID-19 outbreak. Identifying clinical profiles in COVID-19 might improve patient care and enable closer monitoring of at-risk profiles....
To identify COVID-19 profiles in a population of adult primary care patients, and to determine whether the profiles were associated with negative outcomes and persistent symptoms....
In a prospective multicentre study, 44 GPs from multiprofessional primary care practices in the Paris area of France recruited 340 consecutive adult patients (median age: 47 years) with a confirmed di...
A latent class (LC) analysis with 11 indicators (clinical signs and symptoms) was performed. The resulting profiles were characterised by a 3-month composite outcome (COVID-19-related hospital admissi...
We identified six profiles: 'paucisymptomatic' (LC1, 9%), 'anosmia and/or ageusia' (LC2, 12.9%), 'influenza-like syndrome with anosmia and ageusia' (LC3, 15.5%), 'influenza-like syndrome without anosm...
Our findings might help GPs to identify patients at risk of persistent COVID-19 symptoms and hospital admission and then set up procedures for closer monitoring....