Tests de dépistage du sérum maternel : Questions médicales fréquentes
Nom anglais: Maternal Serum Screening Tests
Descriptor UI:D062145
Tree Number:E01.370.378.630.582
Termes MeSH sélectionnés :
Life Expectancy
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"description": "Quels tests sont inclus dans le dépistage du sérum maternel ?\nQuand doit-on effectuer ces tests ?\nComment les résultats sont-ils interprétés ?\nQuels risques peuvent être détectés ?\nLes tests sont-ils obligatoires ?",
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"@type": "Question",
"name": "Quels tests sont inclus dans le dépistage du sérum maternel ?",
"position": 1,
"acceptedAnswer": {
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"text": "Les tests incluent le test de la protéine plasmatique A et le test de l'hormone chorionique."
}
},
{
"@type": "Question",
"name": "Quand doit-on effectuer ces tests ?",
"position": 2,
"acceptedAnswer": {
"@type": "Answer",
"text": "Ils sont généralement réalisés entre la 15e et la 20e semaine de grossesse."
}
},
{
"@type": "Question",
"name": "Comment les résultats sont-ils interprétés ?",
"position": 3,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les résultats sont comparés à des valeurs de référence pour évaluer le risque d'anomalies."
}
},
{
"@type": "Question",
"name": "Quels risques peuvent être détectés ?",
"position": 4,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les tests peuvent détecter des risques de trisomie 21, trisomie 18 et anomalies du tube neural."
}
},
{
"@type": "Question",
"name": "Les tests sont-ils obligatoires ?",
"position": 5,
"acceptedAnswer": {
"@type": "Answer",
"text": "Non, ils sont recommandés mais le choix d'effectuer le test appartient à la patiente."
}
},
{
"@type": "Question",
"name": "Quels symptômes indiquent un besoin de dépistage ?",
"position": 6,
"acceptedAnswer": {
"@type": "Answer",
"text": "Il n'y a pas de symptômes spécifiques, le dépistage est préventif."
}
},
{
"@type": "Question",
"name": "Les tests révèlent-ils des symptômes chez le fœtus ?",
"position": 7,
"acceptedAnswer": {
"@type": "Answer",
"text": "Non, ils évaluent le risque, mais ne montrent pas de symptômes directs."
}
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{
"@type": "Question",
"name": "Comment peut-on réduire les risques d'anomalies ?",
"position": 8,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une bonne nutrition, des suppléments d'acide folique et des soins prénatals réguliers aident."
}
},
{
"@type": "Question",
"name": "Le dépistage peut-il prévenir les anomalies ?",
"position": 9,
"acceptedAnswer": {
"@type": "Answer",
"text": "Non, il permet seulement d'évaluer le risque et de planifier des soins appropriés."
}
},
{
"@type": "Question",
"name": "Que faire si le test est positif ?",
"position": 10,
"acceptedAnswer": {
"@type": "Answer",
"text": "Un suivi avec des tests supplémentaires comme l'amniocentèse peut être recommandé."
}
},
{
"@type": "Question",
"name": "Y a-t-il des traitements préventifs ?",
"position": 11,
"acceptedAnswer": {
"@type": "Answer",
"text": "Il n'existe pas de traitement préventif, mais un suivi médical est essentiel."
}
},
{
"@type": "Question",
"name": "Quelles complications peuvent survenir après un test positif ?",
"position": 12,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des complications psychologiques peuvent survenir, comme l'anxiété ou le stress."
}
},
{
"@type": "Question",
"name": "Les tests peuvent-ils causer des complications ?",
"position": 13,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les tests sanguins sont généralement sûrs, mais des complications peuvent survenir lors d'autres tests."
}
},
{
"@type": "Question",
"name": "Quels sont les facteurs de risque pour les anomalies ?",
"position": 14,
"acceptedAnswer": {
"@type": "Answer",
"text": "L'âge maternel avancé, des antécédents familiaux et certaines conditions médicales augmentent le risque."
}
},
{
"@type": "Question",
"name": "Le mode de vie influence-t-il les résultats ?",
"position": 15,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des facteurs comme le tabagisme, l'alcool et la nutrition peuvent influencer les résultats."
}
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Life expectancy (LE) and Health-adjusted life expectancy (HALE) are summary indicators that reflect a population's general life conditions and measure inequities in health outcomes. The objective of t...
A secondary analysis was performed based on the Global Burden of Disease, Injuries, and Risk Factors Study (GBD). Data were obtained for LE (by sex and state) and HALE (by sex, age group, and state) f...
LE and HALE had an absolute increase of 6.7% and 6.4% from 1990 to 2019, mainly among women, although they spent more years in poor health (11.8 years) than men. The patterns of LE and HALE were heter...
Progress in LE and HALE has slowed in recent years; HALE has even had setbacks in some states. Gaps between men and women, as well as between states, are persistent. Public and population policymaking...
This study aims to investigate sex, age, and cause-specific contributions to changes and trend disparities in life expectancy (LE) and health-adjusted life expectancy (HALE) attributed to disability a...
Contributions of disability and mortality to changes and trend disparities in LE and HALE were estimated with standard abridged life table, Sullivan's method, and decomposition method, using retrospec...
From 1990 to 2019, LE and HALE increased by 10.49 and 8.71 years for both sexes, mainly due to noncommunicable diseases (NCDs) (5.83 years, 55.58% for LE and 6.28 years, 72.10% for HALE). However, HIV...
The LE and HALE in China have grown rapidly over the past few decades, mainly attributed to NCDs. It is necessary to further reduce the negative mortality effect of HIV/AIDS, lung cancer, colon and re...
Life expectancy (LE) is an objective and highly reliable marker for events affecting demography. Analysing LE changes during the Covid pandemic shows widely different situations in a sample of 29 coun...
The COVID-19 pandemic triggered an unprecedented rise in mortality that translated into life expectancy losses around the world, with only a few exceptions. We estimate life expectancy changes in 29 c...
Middle-aged and older adults smoking for years are afflicted by smoking-related diseases and functional limitations; however, little is known about the effect of smoking on nonfatal conditions in midd...
Data were drawn from the China Health and Retirement Longitudinal Study (CHARLS), 2011-2018, with a total sample of 16,859 individuals aged 45 years or older involved in the final analysis. The Activi...
At baseline, 28.9% of participants were current smokers, 8.5% were former smokers, and 62.6% never smoked. Approximately 5.6% were identified with ADL disability. Both current smokers and former smoke...
Never smokers live longer and healthier than current smokers and persons who quit smoking. Smoking was associated with greater reductions in TLE and DFLE among men. However, educational attainment mig...
Conducting a distinct comparison between the life expectancy (LE) and healthy life expectancy (HALE) of people with disabilities (PWDs) and the general population is necessary due to the various envir...
We used aggregated data of registered PWDs from the Korea National Rehabilitation Center database between 2014 and 2018. Overall, 345,595 deaths were included among 12,627,428 registered PWDs. First, ...
The calculated LE/HALE-NHIS (years) at registration in males and females were 81.32/73.32 and 87.38/75.58, 68.54/58.98 and 71.43/59.24, 73.87/65.43 and 78.25/67.51, and 61.53/50.48 and 62.41/49.72 yea...
Males with disabilities had shorter LE and HALE at registration than females, except for those with severe disabilities, and there were variabilities in the LE based on the disability types....
Against the backdrop of population ageing, governments are facing the need to raise the statutory retirement age. In this context, the question arises whether these extra years added to working life w...
The analyses are based on the data of a large German health insurer covering annually about 2 million individuals. Cancer-free WLE is calculated based on multistate life tables and reported for three ...
While labour force participation increased, cancer incidence rates decreased over time. Cancer-free WLE at age 18 increased by 2.5 years in men and 6.3 years in women (age 50: 1.3 years in men, 2.4 ye...
The increase in WLE is accompanied by an increase in cancer-free WLE. However, the subgroups considered have not benefitted equally from this positive development. Among men at higher working age, WLE...
In the complex context of French Guiana, different vulnerabilities and different risk factors between genders may lead to complex differences in health outcomes, mortality, and life expectancy. Our ai...
The study seeks to identify the impact of smoking, sports participation, and alcohol consumption on life expectancy of men and women in Russian regions....
We use official data for 2014-2020 for 77 Russian regions. We estimate factors related to life expectancy separately for men and women to account for differences in their life expectancy and lifestyle...
We run fixed-effect models to estimate regional life expectancy depending on smoking, alcohol consumption, sport participation, healthcare characteristics, and demographical and economic factors....
Life expectancy was negatively associated with alcohol consumption and smoking and positively with sport participation: a 1-L increase in alcohol consumption was attributed to a 1.6-month decrease in ...
We find significant variation in life expectancy across Russian regions that can be partly explained by unhealthy lifestyles. We suggest that policies aimed at improving national health in diverse cou...
This paper re-examines a well-established hypothesis postulating that life expectancy augments incentives for human capital accumulation, leading to global income differences. A major distinguishing f...