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Гендерные различия в реакциях на воздействие земной и космической погоды на гемодинамику больных пожилого и старческого возраста с гипертонической болезнью III стадии, 3 степени на фоне терапии ингибиторами ангиотензинпревращающего фермента и блокаторами рецепторов ангиотензина II

2014· article· ru· W346885823 sur OpenAlexaboutno aff
Р М Заславская, Лариса Владимировна Кривчикова, М. М. Тейблюм, Т. К. Бреус, V. A. Ozheredov

Notice bibliographique

RevueПространство и Время · 2014
Typearticle
Langueru
DomaineMedicine
ThématiqueHuman Health and Disease
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

It is a well-known fact that variations in atmospheric pressure and temperature, geomagnetic activity (magnetic storm), humidity could decrease hypotensive effect of therapy patients with arterial hypertension. At the same time, in Russia, population / gender research in this field are still little developed. aims of our work are (i) investigation of this problem by data of therapy in patients with hypertensive disease stage 3 by the angiotensin-converting-enzyme inhibitors (ACE inhibitors) and angiotensin receptors blockators (ARBs II) in gender aspects: (ii) estimation of efficacy these therapy against the background of meteorological and geomagnetic impacts. We carried out clinical study (during period from 2 Feb. 2011 till June 2012) and processing of the results on the basis of, correspondingly, Moscow City Clinical Hospital no. 60 and Institute of Cosmic Research of RAS. We obtained Earth and Cosmic Weather Data from websites ftp://ftp.ngda.gov/stp/eomagnetic-data-indices/kp-ap and http//meteo.infospace.ru, and processed received results by prediction method. In our clinical studies, we used such ACE inhibitors as prestarium, noliprel, and lozap, losartan lorista, blocktran as ARBs We registered hemodynamic parameters by daily monitors (Shiller AT-10) and by self-control of blood pressure during day and night from the 1st till 18th day and during 3 months ambulatory. We investigated correlation coefficients between the 1st and following days of hospitalization of each patient, and calculated delta between data before and after therapy. Method of variation statistics allow us to obtain the following results: (a) in hypertension stage 3, 3 degrees during treatment with BRAs II hypotensive response elderly women was greater than in older men; (b) there are gender differences in clinical symptoms with their significant improvement in elderly women under the influence of ACE inhibitors affected hypertension of 3 phase, 3 degrees; (c) we are first to found no gender differences in hemodynamics in hypertensive effect of ACE inhibitors in elderly patients with hypertensive disease stage 3, 3 degrees. We also revealed differences between elderly men and women with hypertensive disease stage III, grad 3 in diverse of parameters of atmospheric pressure humidity, temperature, and Kp-index on the background of therapy ACE inhibitors and ARBs Despite the fact that this study is only preliminary, we can conclude that there are significant gender differences in the course and treatment of hypertension. gender differences; angiotensin converting enzyme inhibitors; angiotensin receptor blockers II; the parameters of the Earth and Space Weather Carter C.S., Onder G., Kritchevsky S.B., Pahor M. Enzyme Inhibition Intervention in Elderly Persons: Effects on Body Composition and Physical Performance. Journals of Gerontology Series A: Biological Sciences and Medical Sciences 60.11 (2005): 1437–1446. Gogin E.E. Hypertensive Heart Disease: Pathogenesis, Diagnosis, And Treatment Options. Consilium Medicum. N.p., 1 May 2004. Web. . (In Russian). Gurfinkel Yu., Breus T., Zenchenko T., Ozheredov V. Investigation of the Effect of Ambient Temperature and Geomagnetic Activity on the Vascular Parameters of Healthy Volunteers. Open Journal of Biophysics 2 (2012): 46–5. (In Russian). Hoskuldsson A. Prediction Methods in Science and Technology. Vol 1: Basic Theory. Copenhagen: Thor Publishing, 1996. Hudson M., Rahme E., Behlouli H., Sheppard R., Pilote L. Sex Differences in the Effectiveness of Receptor and Converting Enzyme Inhibitors in Patients with Congestive Heart Failure – A Population Study. European Journal of Heart Failure 9.6-7 (2007): 602–609. Kanorsky S.G. Blockers of the Renin – Aldosterone System in the Treatment of Hypertension: Current Evidence and Perspectives. Consilium Medicum. N.p., 5 June 2014. Web. . (In Russian). Krivchikova L.V., Zaslavskaya R.M., Teiblum M.M. Gender Differences in the Application of Hemodynamic II Receptor and ACE Inhibitors in Elderly Patients with Hypertension Stage 3, 3 Degrees. Proceedings of the Twenty-First Russian National Congress Man and Medicine. (April 7-11, 2014, Moscow). Moscow: Chelovek i meditsina Publisher, 2014, p. 65. (In Russian). Krivchikova L.V., Zaslavskaya R.M., Teiblum M.M. Sexual Differences of Hemodynamic Parameters in the Application ARBs II and ACE Inhibitors in Elderly Patients with Hypertension Stage 3, 3 Degrees. Proceedings of the International Scientific and Practical Conference Quality of Life, Health, Psychology and Education: A Multidisciplinary Approach (24–25 April 2014, Moscow, Russian Peoples' Friendship University). Moscow: Peoples' Friendship University of Russia Publisher, pp. 134–135. (In Russian). Kuba K., Imai Y., Penninger J.M. Multiple Functions of Angiotensin-Converting Enzyme 2 and Its Relevance in Cardiovascular Diseases. Circulation Journal 77 (2013): 301–308. Kwok T., Leung J., Zhang Y.F., Bauer D., Ensrud K.E., Barrett-Connor E., Leung P.C. Does the Use of ACE Inhibitors or Receptor Affect Bone Loss in Older Men?. Osteoporosis International 23.8 (2012): 2159–2167. McAlister F.A., Zhang J., Tonelli M., Klarenbach S., Manns B.J., Hemmelgarn B.R. The Safety of Combining Angiotensin-Converting-Enzyme Inhibitors with Angiotensin-Receptor in Elderly Patients: A Population-Based Longitudinal Analysis. Canadian Medical Association Journal 183.6 (2011): 655–662. Morisco C., Trimarco B. Angiotensin Converting Enzyme Inhibitors and AT1 Antagonists for Treatment of ACEi and ARBS in Hypertension and Heart Failure. Ed. P. Perrone Filardi. Heidelberg, York, Dordrecht, London: Springer International Publishing Switzerland, 2015, pp. 1–39. Ozheredov V.A. Study of Solar-Terrestrial Relationships Using Optimization Algorithms. Ph.D. diss. Moscow, 2010. (In Russian). Ozheredov V.A., Breus T.K. New Approaches to the Statistical Analysis of Series of Long-Term Observations Helio-Geo-Magnetic Activity and Biomedical Reactions to It. Geophysical Processes and Biosphere 7.1 (2008): 7–31. (In Russian). Ozheredov V.A., Breus T.K., Gurfinkel Yu.I., Revich D.A., Mitrofanova T.A. of Some Weather Factors and Geomagnetic Activity on the Development of Severe Cardiological Pathologies. Biophysics 55.1 (2010): 110–119. Shalygin L.D. Circadian Rhythms of Neurohumoral Regulation of Hemodynamics in Patients with Arterial Hypertension. Ed. Yu.L. Shevchenko. Moscow: Russian Academy of Natural Sciences Publisher, 2012. (In Russian). Sink K.M., Leng X., Williamson J., Kritchevsky S.B., Yaffe K., Kuller L., Goff D.C. Enzyme Inhibitors and Cognitive Decline in Older Adults with Hypertension: Results from the Cardiovascular Health Study. Archives of Internal Medicine 169.13 (2009): 1195–1202. Stroup W.W. Predictable Functions and Prediction Space in the Mixed Model Procedure. Applications of Mixed Models in Agriculture and Related Disciplines. Southern Cooperative Series Bulletin 343 (1989): 39–48. Tarlovskaya I.I., Suvorov D.A., Sobolev A.V. Gender Differences in Efficacy of Antihypertensive Therapy: Losartan and Enalapril. Consilium Medicum. N.p. 1 Feb. 2012. Web . (In Russian). Zaslavskaya R.M., Krivchikova L.V. Gender Differences of Treatment Effectiveness in Elderly and Senile Patients with Essential Hypertension and Ischemic Heart Disease with II Receptor and Converting Enzyme Inhibitors. Clinical Medicine 10 (2013): 67. (In Russian). Zenchenko T.A., Skavulyak A.N., Khorseva N.I., Breus T.K. Characteristics of the Individual Reactions of Healthy People Cardiovascular System to Change the Meteorological Factors in a Wide Range of Temperatures. Geophysical Processes and the Biosphere 12.1 (2013): 22–44. (In Russian). Zaslavskaya, R. M., L. V. Krivchikova, M. M. Teiblum, T. K. Breus, and V. A. Ozheredov. Gender Differences in Reactions of the Influence of Weaher and Cosmic Factors on Hemodynamics in Elderly and Senile Pa-tients with Hypertension of Stage III, Grade 3 Drugs on Treatment with Converting Enzyme Inhibitors and Receptor II. Space and Time 4 (2014): 236–242. (In Russian). Fixed network address 2226-7271provr_st4-18.2014.111.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Communication savante, Science ouverte, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,344
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,007
Méta-épidémiologie (sens strict)0,0090,009
Méta-épidémiologie (sens large)0,0110,005
Bibliométrie0,0050,006
Études des sciences et des technologies0,0070,004
Communication savante0,0020,003
Science ouverte0,0070,004
Intégrité de la recherche0,0060,010
Charge utile insuffisante (le modèle a refusé de juger)0,0430,031

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,320
Écart entre enseignants0,299 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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