Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha

Objetivo: Se evaluó la relación entre el puntaje en la escala de Framingham de riesgo cardiovascular (EFRCV) y la condición “no dipper” (ND) por monitoreo ambulatorio de presión arterial (MAPA) en participantes de la cohorte CHICAMOCHA. Métodos: Estudio de corte transversal. Participantes clasificad...

Full description

Autores:
Blanco Barrera, Néstor Fabián
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad Autónoma de Bucaramanga - UNAB
Repositorio:
Repositorio UNAB
Idioma:
spa
OAI Identifier:
oai:repository.unab.edu.co:20.500.12749/1745
Acceso en línea:
http://hdl.handle.net/20.500.12749/1745
Palabra clave:
Framingham scale
Blood pressure
Cardiovascular diseases
Medicine
Internal medicine
Investigations
Complications
Patients
Prevention and control
High blood pressure
Cardiovascular risk
Ambulatory blood pressure monitoring
Escala de Framingham
Presión arterial
Enfermedades cardiovasculares
Medicina
Medicina interna
Investigaciones
Complicaciones
Pacientes
Prevención y control
Hipertensión arterial
Riesgo cardiovascular
Monitoreo ambulatorio de presión arterial
Dipper
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
id UNAB2_800c6c9b11328373ce0de826ed79c969
oai_identifier_str oai:repository.unab.edu.co:20.500.12749/1745
network_acronym_str UNAB2
network_name_str Repositorio UNAB
repository_id_str
dc.title.spa.fl_str_mv Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
dc.title.translated.eng.fl_str_mv Association between the risk level of cardiovascular events measured by the Framingham scale and the "no dipper" effect of ambulatory blood pressure monitoring, in patients from the Chicamocha cohort
title Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
spellingShingle Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
Framingham scale
Blood pressure
Cardiovascular diseases
Medicine
Internal medicine
Investigations
Complications
Patients
Prevention and control
High blood pressure
Cardiovascular risk
Ambulatory blood pressure monitoring
Escala de Framingham
Presión arterial
Enfermedades cardiovasculares
Medicina
Medicina interna
Investigaciones
Complicaciones
Pacientes
Prevención y control
Hipertensión arterial
Riesgo cardiovascular
Monitoreo ambulatorio de presión arterial
Dipper
title_short Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
title_full Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
title_fullStr Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
title_full_unstemmed Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
title_sort Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha
dc.creator.fl_str_mv Blanco Barrera, Néstor Fabián
dc.contributor.advisor.spa.fl_str_mv Villar Centeno, Juan Carlos
dc.contributor.author.spa.fl_str_mv Blanco Barrera, Néstor Fabián
dc.contributor.cvlac.*.fl_str_mv https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000068519
dc.contributor.googlescholar.*.fl_str_mv https://scholar.google.es/citations?hl=es#user=nTlsWe0AAAAJ
dc.contributor.orcid.*.fl_str_mv https://orcid.org/0000-0002-7047-7299
dc.contributor.scopus.*.fl_str_mv https://www.scopus.com/authid/detail.uri?authorId=57193835436
dc.contributor.researchgate.*.fl_str_mv https://www.researchgate.net/profile/Juan_Villar11
dc.contributor.researchgroup.spa.fl_str_mv Grupo de Investigación en Cardiología Preventiva
Grupo de Investigaciones Clínicas
dc.subject.keywords.eng.fl_str_mv Framingham scale
Blood pressure
Cardiovascular diseases
Medicine
Internal medicine
Investigations
Complications
Patients
Prevention and control
High blood pressure
Cardiovascular risk
Ambulatory blood pressure monitoring
topic Framingham scale
Blood pressure
Cardiovascular diseases
Medicine
Internal medicine
Investigations
Complications
Patients
Prevention and control
High blood pressure
Cardiovascular risk
Ambulatory blood pressure monitoring
Escala de Framingham
Presión arterial
Enfermedades cardiovasculares
Medicina
Medicina interna
Investigaciones
Complicaciones
Pacientes
Prevención y control
Hipertensión arterial
Riesgo cardiovascular
Monitoreo ambulatorio de presión arterial
Dipper
dc.subject.lemb.spa.fl_str_mv Escala de Framingham
Presión arterial
Enfermedades cardiovasculares
Medicina
Medicina interna
Investigaciones
Complicaciones
Pacientes
Prevención y control
dc.subject.proposal.none.fl_str_mv Hipertensión arterial
Riesgo cardiovascular
Monitoreo ambulatorio de presión arterial
Dipper
description Objetivo: Se evaluó la relación entre el puntaje en la escala de Framingham de riesgo cardiovascular (EFRCV) y la condición “no dipper” (ND) por monitoreo ambulatorio de presión arterial (MAPA) en participantes de la cohorte CHICAMOCHA. Métodos: Estudio de corte transversal. Participantes clasificados como de mayor probabilidad de hipertensión arterial (HTA, n=269) o controles (n=39) en la visita de seguimiento (mediana 12 años) tuvieron MAPA para su adecuada clasificación. Se registró el puntaje en la EFRCV como variable independiente, además de las variables sociodemográficas y medidas antropométricas. Se describió el nivel de EFRCV en la población por terciles y se evaluó la relación entre ND (nuestra variable dependiente) y posibles variables de confusión. Basado en estos hallazgos se construyó un modelo de regresión logística para establecer la relación independiente entre ND y EFRCV. Resultados: Se encontró patrón ND en 200 (65%) participantes. En el análisis bivariado se identificó un patrón incremental de frecuencia de ND por niveles de EFRCV (57%, en el grupo de menor riesgo; 63% en el grupo intermedio y 74% en el de mayor riesgo, p=0.039). En el modelo de regresión logística (que incluyó los niveles de presión arterial como covariable) se encontró que la edad (OR= 1.06, IC 95% 1.02 -1.09 por cada año) y la obesidad (OR= 1.82, IC 95% 1.12- 2.95), pero no la EFRCV fueron independientemente asociadas con la condición ND. Conclusión: La mayoría de participantes fue clasificada como ND. Aun cuando se encontró un claro gradiente entre EFRCV y la condición ND, esta asociación está explicada por su relación con los niveles de presión arterial, que es un componente de la escala. Este hallazgo sugiere que la relación bien establecida entre la condición ND y los eventos cardiovasculares sea explicada por vías diferentes a las incluidas en la EFRCV.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-06-26T19:59:56Z
dc.date.available.none.fl_str_mv 2020-06-26T19:59:56Z
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.local.spa.fl_str_mv Tesis
dc.type.redcol.none.fl_str_mv http://purl.org/redcol/resource_type/TM
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12749/1745
dc.identifier.instname.spa.fl_str_mv instname:Universidad Autónoma de Bucaramanga - UNAB
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional UNAB
url http://hdl.handle.net/20.500.12749/1745
identifier_str_mv instname:Universidad Autónoma de Bucaramanga - UNAB
reponame:Repositorio Institucional UNAB
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv Blanco Barrera, Néstor Fabián (2017). Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha. Floridablanca (Santander, Colombia) : Universidad Autónoma de Bucaramanga UNAB"
1. Guía de práctica clínica. Hipertensión arterial primaria (HTA). 2013;
2. Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, et al. CLINICIAN ’ S CORNER The Seventh Report of the Joint National Committee on Prevention , Detection , Evaluation , and Treatment. 2015;289(19):2560–73.
3. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. Evidence-Based Guideline for the Management of High Blood Pressure in Adults. Jama [Internet]. 2013;1097(5):1–14. Available from: http://jama.jamanetwork.com/article.aspx?articleid=1791497%5Cnhttp://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.2013.284427
4. Siu AL, U.S. Preventive Services Task Force. Screening for high blood pressure in adults: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med [Internet]. 2015 Nov 17 [cited 2016 Oct 24];163(10):778–86. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26458123
5. De Marco M, De Simone G, Roman MJ, Chinali M, Lee ET, Russell M, et al. Cardiovascular and Metabolic Predictors of Progression of Prehypertension into Hypertension: The Strong Heart Study.
6. Boyko EJ, Shaw JE, Zimmet PZ, Chitson P, Tuomilehto J, Alberti KGMM. A prospective study of glycemia, body size, insulin resistance and the risk of hypertension in Mauritius. J Hypertens [Internet]. 2008 Sep [cited 2016 Oct 20];26(9):1742–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18698207
7. Derhaschnig U, Testori C, Riedmueller E, Aschauer S, Wolzt M, Jilma B. Hypertensive emergencies are associated with elevated markers of inflammation, coagulation, platelet activation and fibrinolysis. J Hum Hypertens [Internet]. 2013 Jun [cited 2016 Oct 21];27(6):368–73. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23254594
8. Calhoun DA, Jones D, Textor S, Goff DC, Murphy TP, Toto RD, et al. Resistant hypertension: diagnosis, evaluation, and treatment: a scientific statement from the American Heart Association Professional Education Committee of the Council for High Blood Pressure Research. Circulation [Internet]. American Heart Association, Inc.; 2008 Jun 24 [cited 2016 Oct 24];117(25):e510-26. Available from: http://www.ncbi.nlm.nih.gov/pubmed/18574054
9. Prkacin I, Balenovic D, Djermanovic-Dobrota V, Lukac I, Drazic P, Pranjic I-K. Resistant Hypertension and Chronotherapy. 2015;27(272):118–21.
10. Mallick S, Kanthety R, Rahman M. Home Blood Pressure Monitoring in Clinical Practice: A Review. Am J Med [Internet]. 2009 Sep [cited 2016 Oct 24];122(9):803–10. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0002934309004100
11. International Society for Chronobiology, American Association of Medical Chronobiology and Chronotherapeutics, Spanish Society of Applied Chronobiology, Chronotherapy, and Vascular Risk, Spanish Society of Atherosclerosis, Romanian Society of Internal Medicine, Hermida RC, et al. 2013 ambulatory blood pressure monitoring recommendations for the diagnosis of adult hypertension, assessment of cardiovascular and other hypertension-associated risk, and attainment of therapeutic goals. Chronobiol Int [Internet]. 2013 Apr [cited 2016 Oct 25];30(3):355–410. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23517220
12. Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, et al. Recommendations for Blood Pressure Measurement in Humans and Experimental Animals. Circulation. 2005;111(5).
13. Fagard RH, Van Den Broeke C, De Cort P. Prognostic significance of blood pressure measured in the office, at home and during ambulatory monitoring in older patients in general practice. J Hum Hypertens [Internet]. 2005 Oct [cited 2016 Oct 25];19(10):801–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/15959536
14. Sega R, Facchetti R, Bombelli M, Cesana G, Corrao G, Grassi G, et al. Prognostic Value of Ambulatory and Home Blood Pressures Compared With Office Blood Pressure in the General Population. Circulation. 2005;111(14).
15. Omboni S, Posokhov IN, Parati G, Avolio A, Rogoza AN, Kotovskaya Y V, et al. Vascular Health Assessment of The Hypertensive Patients (VASOTENS) Registry: Study Protocol of an International, Web-Based Telemonitoring Registry for Ambulatory Blood Pressure and Arterial Stiffness. JMIR Res Protoc [Internet]. JMIR Publications Inc.; 2016 Jun 29 [cited 2016 Oct 24];5(2):e137. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27358088
16. White. Circadian variation of blood pressure: clinical relevance and implications for cardiovascular chronotherapeutics. Blood Press Monit [Internet]. 1997 Dec [cited 2016 Oct 21];2(1):47–51. Available from: http://www.ncbi.nlm.nih.gov/pubmed/10234091
17. Hermida RC, Ayala DE, Smolensky MH, Fernández JR, Mojón A, Portaluppi F. Sleep-time blood pressure: Unique sensitive prognostic marker of vascular risk and therapeutic target for prevention. Sleep Med Rev [Internet]. 2016 Apr [cited 2017 Feb 28]; Available from: http://linkinghub.elsevier.com/retrieve/pii/S1087079216300077
18. Islam MS. Ambulatory Blood Pressure Monitoring in the Diagnosis and Treatment of Hypertension. 2016 [cited 2017 Feb 28]. Available from: http://link.springer.com/10.1007/5584_2016_177
19. Coca A. Circadian rhythm and blood pressure control: physiological and pathophysiological factors. J Hypertens Suppl [Internet]. 1994 Jul [cited 2016 Oct 21];12(5):S13-21. Available from: http://www.ncbi.nlm.nih.gov/pubmed/7965281
20. Salwa P, Gorczyca-Michta I, Kluk M, Dziubek K, Wożakowska-Kapłon B. Variability of circadian blood pressure profile during 24-hour ambulatory blood pressure monitoring in hypertensive patients. Kardiol Pol [Internet]. 2014 [cited 2016 Oct 21];72(5):432–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24526553
21. Seguchi M, Wada H, Sakakura K, Nakagawa T, Ibe T, Ikeda N, et al. Circadian Variation of Acute Aortic Dissection. Int Heart J [Internet]. International Heart Journal Association; 2015 [cited 2016 Oct 24];56(3):324–8. Available from: https://www.jstage.jst.go.jp/article/ihj/56/3/56_14-328/_article
22. Minamisawa M, Izawa A, Motoki H, Kashima Y, Hioki H, Abe N, et al. Prognostic Significance of Neuroadrenergic Dysfunction for Cardiovascular Events in Patients With Acute Myocardial Infarction. Circ J [Internet]. The Japanese Circulation Society; 2015 [cited 2016 Oct 25];79(10):2238–45. Available from: https://www.jstage.jst.go.jp/article/circj/79/10/79_CJ-15-0265/_article
23. Hermida RC, Ayala DE, Mojón A, Fernández JR. Blunted Sleep-Time Relative Blood Pressure Decline Increases Cardiovascular Risk Independent of Blood Pressure Level—The “Normotensive Non-dipper” Paradox. Chronobiol Int [Internet]. 2013 Mar 5 [cited 2016 Oct 20];30(1–2):87–98. Available from: http://www.tandfonline.com/doi/full/10.3109/07420528.2012.701127
24. Ozdemir E, Yildirimturk O, Cengiz B, Yurdakul S, Aytekin S. Evaluation of carotid intima-media thickness and aortic elasticity in patients with nondipper hypertension. Echocardiography [Internet]. 2014 May [cited 2016 Oct 25];31(5):663–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24219389
25. Vasunta R-L, Kesäniemi YA, Ylitalo A, Ukkola O. Nondipping pattern and carotid atherosclerosis in a middle-aged population: OPERA Study. Am J Hypertens [Internet]. 2012 Jan [cited 2016 Oct 26];25(1):60–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21866184
26. Kim S, Kim N-H, Kim YK, Yoo JH, Shin SN, Ko JS, et al. The Number of Endothelial Progenitor Cells is Decreased in Patients With Non-Dipper Hypertension. Korean Circ J [Internet]. The Korean Society of Cardiology; 2012 May [cited 2016 Oct 26];42(5):329–34. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22701498
27. Cicek Y, Durakoglugil ME, Kocaman SA, Cetin M, Erdogan T, Dogan S, et al. Non-dipping pattern in untreated hypertensive patients is related to increased pulse wave velocity independent of raised nocturnal blood pressure. Blood Press [Internet]. 2013 Feb [cited 2016 Oct 26];22(1):34–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22783816
28. Cuspidi C, Sala C, Tadic M, Rescaldani M, Grassi G, Mancia G. Non-Dipping Pattern and Subclinical Cardiac Damage in Untreated Hypertension: A Systematic Review and Meta-Analysis of Echocardiographic Studies. Am J Hypertens [Internet]. 2015 Dec [cited 2016 Oct 21];28(12):1392–402. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26108212
29. Açar G, Bulut M, Arslan K, Alizade E, Ozkan B, Alici G, et al. Comparison of left atrial mechanical function in nondipper versus dipper hypertensive patients: a speckle tracking study. Echocardiography [Internet]. 2013 Feb [cited 2016 Oct 25];30(2):164–70. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23167459
30. Coleman CT, Stowasser M, Jenkins C, Marwick TH, Sharman JE. Central hemodynamics and cardiovascular risk in nondippers. J Clin Hypertens (Greenwich) [Internet]. 2011 Aug [cited 2016 Oct 26];13(8):557–62. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21806765
31. Sengul C, Cevik C, Ozveren O, Duman D, Eroglu E, Oduncu V, et al. Epicardial fat thickness is associated with non-dipper blood pressure pattern in patients with essential hypertension. Clin Exp Hypertens [Internet]. 2012 [cited 2016 Oct 26];34(3):165–70. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22008026
32. Yan B, Peng L, Dong Q, Zheng F, Yang P, Sun L, et al. Reverse-dipper pattern of blood pressure may predict lacunar infarction in patients with essential hypertension. Eur J Neurol [Internet]. 2015 Jun [cited 2016 Oct 24];22(6):1022–5. Available from: http://doi.wiley.com/10.1111/ene.12659
33. Park J-H, Lee H-S, Kim JH, Lee J-H, Kim J, Choi SW. Reverse dipper and high night-time heart rate in acute stage of cerebral infarction are associated with increased mortality. J Stroke Cerebrovasc Dis [Internet]. [cited 2016 Oct 25];23(5):1171–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24268903
34. Aksan G, İnci S, Nar G, Siğirci S, Gedikli Ö, Soylu K, et al. Serum neutrophıl gelatınase-assocıated lıpocalın levels in patients with non-dipper hypertension. Clin Invest Med [Internet]. 2015 Apr 8 [cited 2016 Oct 24];38(2):E53-62. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25864997
35. Ordu S, Ozhan H, Alemdar R, Yildirim H, Gungor A, Caglar SO, et al. Cystatin C levels in patients with dipper and nondipper hypertension. J Investig Med [Internet]. 2012 Apr [cited 2016 Oct 26];60(4):676–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22373662
36. Nergiz B. The platelet-to-lymphocyte ratio as an inflammation marker in non-dipper hyper- tensive patients. Hippokratia. 2015;19(2):114–8.
37. Surgit O, Erturk M, Akgul O, Pusuroglu H, Korkmaz AF, Isiksacan N, et al. Assessment of mean platelet volume and soluble CD40 ligand levels in patients with non-dipper hypertension, dippers and normotensives. Clin Exp Hypertens [Internet]. 2015 [cited 2016 Oct 24];37(1):70–4. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24866755
38. Sunbul M, Sunbul EA, Kosker SD, Durmus E, Kivrak T, Ileri C, et al. Depression and anxiety are associated with abnormal nocturnal blood pressure fall in hypertensive patients. Clin Exp Hypertens [Internet]. 2014 [cited 2016 Oct 25];36(5):354–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24047218
39. García-Ortiz L, Recio-Rodríguez JI, Puig-Ribera A, Lema-Bartolomé J, Ibáñez-Jalón E, González-Viejo N, et al. Blood pressure circadian pattern and physical exercise assessment by accelerometer and 7-day physical activity recall scale. Am J Hypertens [Internet]. 2014 May [cited 2016 Oct 25];27(5):665–73. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23975330
40. Di Raimondo D, Tuttolomondo A, Miceli S, Milio G, Licata G, Pinto A. Aerobic physical activity based on fast walking does not alter blood pressure values in non-dipper essential hypertensives. Int Angiol [Internet]. 2012 Apr [cited 2016 Oct 26];31(2):142–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22466979
41. Tekçe H, Kürşat S, Bahadır Çolak H, Aktaş G. Effects of nutritional parameters on nocturnal blood pressure in patients undergoing hemodialysis. Ren Fail [Internet]. 2013 Aug [cited 2016 Oct 25];35(7):946–50. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23815366
42. Tutal E, Sayın B, Ertugrul DT, Ibis A, Sezer S, Ozdemir N. Is there a link between hyperuricemia, morning blood pressure surge, and non-dipping blood pressure pattern in metabolic syndrome patients? Int J Nephrol Renovasc Dis [Internet]. Dove Press; 2013 [cited 2016 Oct 25];6:71–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23662072
43. Inal S, Karakoç MA, Kan E, Ebinç FA, Törüner FB, Aslan M. The effect of overt and subclinical hypothyroidism on the development of non-dipper blood pressure. Endokrynol Pol [Internet]. 2012 [cited 2016 Oct 26];63(2):97–103. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22538747
44. Demir M, Günay T, Özmen G, Melek M. Relationship between vitamin D deficiency and nondipper hypertension. Clin Exp Hypertens [Internet]. 2013 [cited 2016 Oct 26];35(1):45–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22594967
45. Hermida RC, Ayala DE, Smolensky MH, Fernández JR, Mojón A, Portaluppi F. Chronotherapy with conventional blood pressure medications improves management of hypertension and reduces cardiovascular and stroke risks. Hypertens Res [Internet]. 2016 May [cited 2016 Oct 21];39(5):277–92. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26657008
46. Hermida RC, Ayala DE, Mojón A, Smolensky MH, Portaluppi F, Fernández JR. Sleep-time ambulatory blood pressure as a novel therapeutic target for cardiovascular risk reduction. J Hum Hypertens [Internet]. 2014 Oct [cited 2016 Oct 25];28(10):567–74. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24500721
47. Sousa F, Neves J, Ferreira R, Polonia J, Bastos JM. 1B.05: IN HYPERTENSION THE CHANGE FROM A NON-DIPPER TO A DIPPER PATTERN IS ASSOCIATED WITH A BETTER CARDIOVASCULAR PROGNOSIS THAN THE PERSISTENCE WITHIN THE NON-DIPPER PATTERN. J Hypertens [Internet]. 2015 Jun [cited 2016 Oct 21];33 Suppl 1:e6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26102868
48. Sagarra-Tió M, Félez-Carrobé E, Baiget M, Félez J. Assessment of primary healthcare professionals’ management of hypertensive patients with riser pattern. Eur J Cardiovasc Nurs [Internet]. 2015 Feb [cited 2016 Oct 25];14(1):73–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24396114
49. Hermida RC, Ayala DE, Smolensky MH, Mojón A, Fernández JR, Crespo JJ, et al. Chronotherapy improves blood pressure control and reduces vascular risk in CKD. Nat Rev Nephrol [Internet]. 2013 Jun [cited 2016 Oct 25];9(6):358–68. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23609565
50. Kececi Savan D, Cengiz M, Yavuzer H, Yavuzer S, Sulu C, Doventas A, et al. Relation of ambulatory blood pressure measurement and cognitive functions in hypertensive elderly patients. Aging Clin Exp Res [Internet]. 2016 Aug [cited 2016 Oct 21];28(4):699–704. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26526029
51. Wang C, Deng W-J, Gong W-Y, Zhang J, Zhang Q-Z, Ye ZC, et al. Nocturnal Hypertension Correlates Better With Target Organ Damage in Patients With Chronic Kidney Disease than a Nondipping Pattern. J Clin Hypertens (Greenwich) [Internet]. 2015 Oct [cited 2016 Oct 21];17(10):792–801. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26041362
52. Akpinar I, Basar N, Sen N, Kisacik HL. Evaluation of biochemical, hematological,and thyroid function parameters in nondipper and dipper hypertensive patients. Wien Klin Wochenschr [Internet]. 2012 Jul 6 [cited 2017 Feb 28];124(13–14):439–43. Available from: http://link.springer.com/10.1007/s00508-012-0196-z
53. Ríos MT, Domínguez-Sardiña M, Ayala DE, Gomara S, Sineiro E, Pousa L, et al. Prevalence and Clinical Characteristics of Isolated-Office and True Resistant Hypertension Determined by Ambulatory Blood Pressure Monitoring. Chronobiol Int [Internet]. 2013 Mar 19 [cited 2017 Feb 28];30(1–2):207–20. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23077975
54. Ruiz ÁJ, Aschner PJ, Puerta MF, Alfonso-Cristancho R. Estudio IDEA (International Day for Evaluation of Abdominal Obesity): prevalencia de obesidad abdominal y factores de riesgo asociados en atención primaria en Colombia. Biomédica [Internet]. 2012 Jun 14 [cited 2017 Feb 28];32(4). Available from: http://www.revistabiomedica.org/index.php/biomedica/article/view/799
55. Buendía R, Zambrano M, Díaz Á, Reino A, Ramírez J, Espinosa E. Puntos de corte de perímetro de cintura para el diagnóstico de obesidad abdominal en población colombiana usando bioimpedanciometría como estándar de referencia. Rev Colomb Cardiol. 2016;23(1):19–25.
56. Lanas F, Avezum A, Bautista LE, Diaz R, Luna M, Islam S, et al. Risk factors for acute myocardial infarction in Latin America: the INTERHEART Latin American study. Circulation [Internet]. 2007 Mar 6 [cited 2017 Feb 28];115(9):1067–74. Available from: http://circ.ahajournals.org/cgi/doi/10.1161/CIRCULATIONAHA.106.633552
57. Careaga M, Esmatjes E, Nuñez I, Molero J, Vidal J, Flores L. Effect of weight loss on abnormal 24-hour blood pressure patterns in severely obese patients. Surg Obes Relat Dis [Internet]. 2016 Nov [cited 2017 Feb 28];12(9):1719–24. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1550728915011168
58. Yeboah J, McClelland RL, Polonsky TS, Burke GL, Sibley CT, O’Leary D, et al.Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals. JAMA [Internet]. NIH Public Access; 2012 Aug 22 [cited 2017 Apr 25];308(8):788–95. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22910756
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.*.fl_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/co/
Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 2.5 Colombia
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.coverage.spa.fl_str_mv Floridablanca (Santander, Colombia)
dc.coverage.campus.spa.fl_str_mv UNAB Campus Bucaramanga
dc.publisher.grantor.spa.fl_str_mv Universidad Autónoma de Bucaramanga UNAB
dc.publisher.faculty.spa.fl_str_mv Facultad Ciencias de la Salud
dc.publisher.program.spa.fl_str_mv Especialización en Medicina Interna
institution Universidad Autónoma de Bucaramanga - UNAB
bitstream.url.fl_str_mv https://repository.unab.edu.co/bitstream/20.500.12749/1745/1/2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf
https://repository.unab.edu.co/bitstream/20.500.12749/1745/2/2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf
https://repository.unab.edu.co/bitstream/20.500.12749/1745/3/2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf.jpg
https://repository.unab.edu.co/bitstream/20.500.12749/1745/4/2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf.jpg
bitstream.checksum.fl_str_mv 0b8bacca5188cb092a29152c4a8c7024
9fd32be0db377dec20db8788a1ba3059
4a67351068f0a713325538901822548a
78d383e1c08eb8c1fd64cdd38e495e20
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional | Universidad Autónoma de Bucaramanga - UNAB
repository.mail.fl_str_mv repositorio@unab.edu.co
_version_ 1814278153549381632
spelling Villar Centeno, Juan Carlos399926b0-729c-4af9-845c-0ad596601e9d-1Blanco Barrera, Néstor Fabián11236490-5085-4d22-bb9b-f0a5d4da5d26-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000068519https://scholar.google.es/citations?hl=es#user=nTlsWe0AAAAJhttps://orcid.org/0000-0002-7047-7299https://www.scopus.com/authid/detail.uri?authorId=57193835436https://www.researchgate.net/profile/Juan_Villar11Grupo de Investigación en Cardiología PreventivaGrupo de Investigaciones Clínicas2020-06-26T19:59:56Z2020-06-26T19:59:56Z2017http://hdl.handle.net/20.500.12749/1745instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABObjetivo: Se evaluó la relación entre el puntaje en la escala de Framingham de riesgo cardiovascular (EFRCV) y la condición “no dipper” (ND) por monitoreo ambulatorio de presión arterial (MAPA) en participantes de la cohorte CHICAMOCHA. Métodos: Estudio de corte transversal. Participantes clasificados como de mayor probabilidad de hipertensión arterial (HTA, n=269) o controles (n=39) en la visita de seguimiento (mediana 12 años) tuvieron MAPA para su adecuada clasificación. Se registró el puntaje en la EFRCV como variable independiente, además de las variables sociodemográficas y medidas antropométricas. Se describió el nivel de EFRCV en la población por terciles y se evaluó la relación entre ND (nuestra variable dependiente) y posibles variables de confusión. Basado en estos hallazgos se construyó un modelo de regresión logística para establecer la relación independiente entre ND y EFRCV. Resultados: Se encontró patrón ND en 200 (65%) participantes. En el análisis bivariado se identificó un patrón incremental de frecuencia de ND por niveles de EFRCV (57%, en el grupo de menor riesgo; 63% en el grupo intermedio y 74% en el de mayor riesgo, p=0.039). En el modelo de regresión logística (que incluyó los niveles de presión arterial como covariable) se encontró que la edad (OR= 1.06, IC 95% 1.02 -1.09 por cada año) y la obesidad (OR= 1.82, IC 95% 1.12- 2.95), pero no la EFRCV fueron independientemente asociadas con la condición ND. Conclusión: La mayoría de participantes fue clasificada como ND. Aun cuando se encontró un claro gradiente entre EFRCV y la condición ND, esta asociación está explicada por su relación con los niveles de presión arterial, que es un componente de la escala. Este hallazgo sugiere que la relación bien establecida entre la condición ND y los eventos cardiovasculares sea explicada por vías diferentes a las incluidas en la EFRCV.1 DESCRIPCIÓN DEL PROYECTO .................................................................. 14 1.1 PLANTEAMIENTO Y JUSTIFICACIÓN DEL PROBLEMA ....................... 14 1.2 PREGUNTA A INVESTIGAR .................................................................... 16 2 MARCO TEÓRICO Y ESTADO DEL ARTE .................................................... 17 3 OBJETIVOS .................................................................................................... 22 3.1 OBJETIVO GENERAL .............................................................................. 22 3.2 OBJETIVOS ESPECÍFICOS ..................................................................... 22 4 METODOLOGÍA PROPUESTA ....................................................................... 23 4.1 DISEÑO .................................................................................................... 23 4.2 UNIVERSO ............................................................................................... 25 4.3 POBLACIÓN OBJETO .............................................................................. 25 4.4 MUESTRA ................................................................................................ 25 4.5 CRITERIOS DE INCLUSIÓN Y EXCLUSIÓN ........................................... 27 4.6 VARIABLES DE INVESTIGACIÓN ........................................................... 28 4.7 PROCEDIMIENTOS ................................................................................. 32 4.8 CONSIDERACIONES ÉTICAS ................................................................. 33 4.9 PLAN DE ANÁLISIS ESTADISTICO......................................................... 35 5 RESULTADOS ................................................................................................ 37 6 DISCUSIÓN .................................................................................................... 48 7 CONCLUSIONES ............................................................................................ 51 8 BIBLIOGRAFÍA ............................................................................................... 52EspecializaciónObjective: The relationship between the score on the Framingham cardiovascular risk scale (EFRCV) and the “no dipper” condition (ND) was evaluated by ambulatory blood pressure monitoring (ABPM) in participants of the CHICAMOCHA cohort. Methods: Cross-sectional study. Participants classified as having a higher probability of arterial hypertension (HBP, n = 269) or controls (n = 39) at the follow-up visit (median 12 years) had ABPM for proper classification. The score on the EFRCV was recorded as an independent variable, in addition to the sociodemographic variables and anthropometric measures. The level of EFRCV in the population was described by tertiles and the relationship between DN (our dependent variable) and possible confounding variables was evaluated. Based on these findings, a logistic regression model was constructed to establish the independent relationship between ND and EFRCV. Results: ND pattern was found in 200 (65%) participants. In the bivariate analysis, an incremental pattern of DN frequency by levels of EFRCV was identified (57%, in the lowest risk group; 63% in the intermediate group and 74% in the highest risk group, p = 0.039). In the logistic regression model (which included blood pressure levels as a covariate) it was found that age (OR = 1.06, 95% CI 1.02 -1.09 for each year) and obesity (OR = 1.82, 95% CI 1.12- 2.95), but not EFRCV were independently associated with the ND condition. Conclusion: The majority of participants were classified as ND. Even when a clear gradient was found between EFRCV and the ND condition, this association is explained by its relationship with blood pressure levels, which is a component of the scale. This finding suggests that the well-established relationship between ND condition and cardiovascular events are explained by ways other than those included in the EFRCV.Modalidad Presencialapplication/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 2.5 ColombiaAsociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte ChicamochaAssociation between the risk level of cardiovascular events measured by the Framingham scale and the "no dipper" effect of ambulatory blood pressure monitoring, in patients from the Chicamocha cohortEspecialista en Medicina InternaFloridablanca (Santander, Colombia)UNAB Campus BucaramangaUniversidad Autónoma de Bucaramanga UNABFacultad Ciencias de la SaludEspecialización en Medicina Internainfo:eu-repo/semantics/masterThesisTesishttp://purl.org/redcol/resource_type/TMFramingham scaleBlood pressureCardiovascular diseasesMedicineInternal medicineInvestigationsComplicationsPatientsPrevention and controlHigh blood pressureCardiovascular riskAmbulatory blood pressure monitoringEscala de FraminghamPresión arterialEnfermedades cardiovascularesMedicinaMedicina internaInvestigacionesComplicacionesPacientesPrevención y controlHipertensión arterialRiesgo cardiovascularMonitoreo ambulatorio de presión arterialDipperBlanco Barrera, Néstor Fabián (2017). Asociación entre el nivel de riesgo de eventos cardiovasculares medido por la escala de Framingham y el efecto "no dipper" del monitoreo ambulatorio de presión arterial, en pacientes de la cohorte Chicamocha. Floridablanca (Santander, Colombia) : Universidad Autónoma de Bucaramanga UNAB"1. Guía de práctica clínica. Hipertensión arterial primaria (HTA). 2013;2. Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, et al. CLINICIAN ’ S CORNER The Seventh Report of the Joint National Committee on Prevention , Detection , Evaluation , and Treatment. 2015;289(19):2560–73.3. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. Evidence-Based Guideline for the Management of High Blood Pressure in Adults. Jama [Internet]. 2013;1097(5):1–14. Available from: http://jama.jamanetwork.com/article.aspx?articleid=1791497%5Cnhttp://jama.jamanetwork.com/article.aspx?doi=10.1001/jama.2013.2844274. Siu AL, U.S. Preventive Services Task Force. Screening for high blood pressure in adults: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med [Internet]. 2015 Nov 17 [cited 2016 Oct 24];163(10):778–86. Available from: http://www.ncbi.nlm.nih.gov/pubmed/264581235. De Marco M, De Simone G, Roman MJ, Chinali M, Lee ET, Russell M, et al. Cardiovascular and Metabolic Predictors of Progression of Prehypertension into Hypertension: The Strong Heart Study.6. Boyko EJ, Shaw JE, Zimmet PZ, Chitson P, Tuomilehto J, Alberti KGMM. A prospective study of glycemia, body size, insulin resistance and the risk of hypertension in Mauritius. J Hypertens [Internet]. 2008 Sep [cited 2016 Oct 20];26(9):1742–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/186982077. Derhaschnig U, Testori C, Riedmueller E, Aschauer S, Wolzt M, Jilma B. Hypertensive emergencies are associated with elevated markers of inflammation, coagulation, platelet activation and fibrinolysis. J Hum Hypertens [Internet]. 2013 Jun [cited 2016 Oct 21];27(6):368–73. Available from: http://www.ncbi.nlm.nih.gov/pubmed/232545948. Calhoun DA, Jones D, Textor S, Goff DC, Murphy TP, Toto RD, et al. Resistant hypertension: diagnosis, evaluation, and treatment: a scientific statement from the American Heart Association Professional Education Committee of the Council for High Blood Pressure Research. Circulation [Internet]. American Heart Association, Inc.; 2008 Jun 24 [cited 2016 Oct 24];117(25):e510-26. Available from: http://www.ncbi.nlm.nih.gov/pubmed/185740549. Prkacin I, Balenovic D, Djermanovic-Dobrota V, Lukac I, Drazic P, Pranjic I-K. Resistant Hypertension and Chronotherapy. 2015;27(272):118–21.10. Mallick S, Kanthety R, Rahman M. Home Blood Pressure Monitoring in Clinical Practice: A Review. Am J Med [Internet]. 2009 Sep [cited 2016 Oct 24];122(9):803–10. Available from: http://linkinghub.elsevier.com/retrieve/pii/S000293430900410011. International Society for Chronobiology, American Association of Medical Chronobiology and Chronotherapeutics, Spanish Society of Applied Chronobiology, Chronotherapy, and Vascular Risk, Spanish Society of Atherosclerosis, Romanian Society of Internal Medicine, Hermida RC, et al. 2013 ambulatory blood pressure monitoring recommendations for the diagnosis of adult hypertension, assessment of cardiovascular and other hypertension-associated risk, and attainment of therapeutic goals. Chronobiol Int [Internet]. 2013 Apr [cited 2016 Oct 25];30(3):355–410. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2351722012. Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, et al. Recommendations for Blood Pressure Measurement in Humans and Experimental Animals. Circulation. 2005;111(5).13. Fagard RH, Van Den Broeke C, De Cort P. Prognostic significance of blood pressure measured in the office, at home and during ambulatory monitoring in older patients in general practice. J Hum Hypertens [Internet]. 2005 Oct [cited 2016 Oct 25];19(10):801–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/1595953614. Sega R, Facchetti R, Bombelli M, Cesana G, Corrao G, Grassi G, et al. Prognostic Value of Ambulatory and Home Blood Pressures Compared With Office Blood Pressure in the General Population. Circulation. 2005;111(14).15. Omboni S, Posokhov IN, Parati G, Avolio A, Rogoza AN, Kotovskaya Y V, et al. Vascular Health Assessment of The Hypertensive Patients (VASOTENS) Registry: Study Protocol of an International, Web-Based Telemonitoring Registry for Ambulatory Blood Pressure and Arterial Stiffness. JMIR Res Protoc [Internet]. JMIR Publications Inc.; 2016 Jun 29 [cited 2016 Oct 24];5(2):e137. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2735808816. White. Circadian variation of blood pressure: clinical relevance and implications for cardiovascular chronotherapeutics. Blood Press Monit [Internet]. 1997 Dec [cited 2016 Oct 21];2(1):47–51. Available from: http://www.ncbi.nlm.nih.gov/pubmed/1023409117. Hermida RC, Ayala DE, Smolensky MH, Fernández JR, Mojón A, Portaluppi F. Sleep-time blood pressure: Unique sensitive prognostic marker of vascular risk and therapeutic target for prevention. Sleep Med Rev [Internet]. 2016 Apr [cited 2017 Feb 28]; Available from: http://linkinghub.elsevier.com/retrieve/pii/S108707921630007718. Islam MS. Ambulatory Blood Pressure Monitoring in the Diagnosis and Treatment of Hypertension. 2016 [cited 2017 Feb 28]. Available from: http://link.springer.com/10.1007/5584_2016_17719. Coca A. Circadian rhythm and blood pressure control: physiological and pathophysiological factors. J Hypertens Suppl [Internet]. 1994 Jul [cited 2016 Oct 21];12(5):S13-21. Available from: http://www.ncbi.nlm.nih.gov/pubmed/796528120. Salwa P, Gorczyca-Michta I, Kluk M, Dziubek K, Wożakowska-Kapłon B. Variability of circadian blood pressure profile during 24-hour ambulatory blood pressure monitoring in hypertensive patients. Kardiol Pol [Internet]. 2014 [cited 2016 Oct 21];72(5):432–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2452655321. Seguchi M, Wada H, Sakakura K, Nakagawa T, Ibe T, Ikeda N, et al. Circadian Variation of Acute Aortic Dissection. Int Heart J [Internet]. International Heart Journal Association; 2015 [cited 2016 Oct 24];56(3):324–8. Available from: https://www.jstage.jst.go.jp/article/ihj/56/3/56_14-328/_article22. Minamisawa M, Izawa A, Motoki H, Kashima Y, Hioki H, Abe N, et al. Prognostic Significance of Neuroadrenergic Dysfunction for Cardiovascular Events in Patients With Acute Myocardial Infarction. Circ J [Internet]. The Japanese Circulation Society; 2015 [cited 2016 Oct 25];79(10):2238–45. Available from: https://www.jstage.jst.go.jp/article/circj/79/10/79_CJ-15-0265/_article23. Hermida RC, Ayala DE, Mojón A, Fernández JR. Blunted Sleep-Time Relative Blood Pressure Decline Increases Cardiovascular Risk Independent of Blood Pressure Level—The “Normotensive Non-dipper” Paradox. Chronobiol Int [Internet]. 2013 Mar 5 [cited 2016 Oct 20];30(1–2):87–98. Available from: http://www.tandfonline.com/doi/full/10.3109/07420528.2012.70112724. Ozdemir E, Yildirimturk O, Cengiz B, Yurdakul S, Aytekin S. Evaluation of carotid intima-media thickness and aortic elasticity in patients with nondipper hypertension. Echocardiography [Internet]. 2014 May [cited 2016 Oct 25];31(5):663–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2421938925. Vasunta R-L, Kesäniemi YA, Ylitalo A, Ukkola O. Nondipping pattern and carotid atherosclerosis in a middle-aged population: OPERA Study. Am J Hypertens [Internet]. 2012 Jan [cited 2016 Oct 26];25(1):60–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2186618426. Kim S, Kim N-H, Kim YK, Yoo JH, Shin SN, Ko JS, et al. The Number of Endothelial Progenitor Cells is Decreased in Patients With Non-Dipper Hypertension. Korean Circ J [Internet]. The Korean Society of Cardiology; 2012 May [cited 2016 Oct 26];42(5):329–34. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2270149827. Cicek Y, Durakoglugil ME, Kocaman SA, Cetin M, Erdogan T, Dogan S, et al. Non-dipping pattern in untreated hypertensive patients is related to increased pulse wave velocity independent of raised nocturnal blood pressure. Blood Press [Internet]. 2013 Feb [cited 2016 Oct 26];22(1):34–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2278381628. Cuspidi C, Sala C, Tadic M, Rescaldani M, Grassi G, Mancia G. Non-Dipping Pattern and Subclinical Cardiac Damage in Untreated Hypertension: A Systematic Review and Meta-Analysis of Echocardiographic Studies. Am J Hypertens [Internet]. 2015 Dec [cited 2016 Oct 21];28(12):1392–402. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2610821229. Açar G, Bulut M, Arslan K, Alizade E, Ozkan B, Alici G, et al. Comparison of left atrial mechanical function in nondipper versus dipper hypertensive patients: a speckle tracking study. Echocardiography [Internet]. 2013 Feb [cited 2016 Oct 25];30(2):164–70. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2316745930. Coleman CT, Stowasser M, Jenkins C, Marwick TH, Sharman JE. Central hemodynamics and cardiovascular risk in nondippers. J Clin Hypertens (Greenwich) [Internet]. 2011 Aug [cited 2016 Oct 26];13(8):557–62. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2180676531. Sengul C, Cevik C, Ozveren O, Duman D, Eroglu E, Oduncu V, et al. Epicardial fat thickness is associated with non-dipper blood pressure pattern in patients with essential hypertension. Clin Exp Hypertens [Internet]. 2012 [cited 2016 Oct 26];34(3):165–70. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2200802632. Yan B, Peng L, Dong Q, Zheng F, Yang P, Sun L, et al. Reverse-dipper pattern of blood pressure may predict lacunar infarction in patients with essential hypertension. Eur J Neurol [Internet]. 2015 Jun [cited 2016 Oct 24];22(6):1022–5. Available from: http://doi.wiley.com/10.1111/ene.1265933. Park J-H, Lee H-S, Kim JH, Lee J-H, Kim J, Choi SW. Reverse dipper and high night-time heart rate in acute stage of cerebral infarction are associated with increased mortality. J Stroke Cerebrovasc Dis [Internet]. [cited 2016 Oct 25];23(5):1171–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2426890334. Aksan G, İnci S, Nar G, Siğirci S, Gedikli Ö, Soylu K, et al. Serum neutrophıl gelatınase-assocıated lıpocalın levels in patients with non-dipper hypertension. Clin Invest Med [Internet]. 2015 Apr 8 [cited 2016 Oct 24];38(2):E53-62. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2586499735. Ordu S, Ozhan H, Alemdar R, Yildirim H, Gungor A, Caglar SO, et al. Cystatin C levels in patients with dipper and nondipper hypertension. J Investig Med [Internet]. 2012 Apr [cited 2016 Oct 26];60(4):676–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2237366236. Nergiz B. The platelet-to-lymphocyte ratio as an inflammation marker in non-dipper hyper- tensive patients. Hippokratia. 2015;19(2):114–8.37. Surgit O, Erturk M, Akgul O, Pusuroglu H, Korkmaz AF, Isiksacan N, et al. Assessment of mean platelet volume and soluble CD40 ligand levels in patients with non-dipper hypertension, dippers and normotensives. Clin Exp Hypertens [Internet]. 2015 [cited 2016 Oct 24];37(1):70–4. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2486675538. Sunbul M, Sunbul EA, Kosker SD, Durmus E, Kivrak T, Ileri C, et al. Depression and anxiety are associated with abnormal nocturnal blood pressure fall in hypertensive patients. Clin Exp Hypertens [Internet]. 2014 [cited 2016 Oct 25];36(5):354–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2404721839. García-Ortiz L, Recio-Rodríguez JI, Puig-Ribera A, Lema-Bartolomé J, Ibáñez-Jalón E, González-Viejo N, et al. Blood pressure circadian pattern and physical exercise assessment by accelerometer and 7-day physical activity recall scale. Am J Hypertens [Internet]. 2014 May [cited 2016 Oct 25];27(5):665–73. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2397533040. Di Raimondo D, Tuttolomondo A, Miceli S, Milio G, Licata G, Pinto A. Aerobic physical activity based on fast walking does not alter blood pressure values in non-dipper essential hypertensives. Int Angiol [Internet]. 2012 Apr [cited 2016 Oct 26];31(2):142–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2246697941. Tekçe H, Kürşat S, Bahadır Çolak H, Aktaş G. Effects of nutritional parameters on nocturnal blood pressure in patients undergoing hemodialysis. Ren Fail [Internet]. 2013 Aug [cited 2016 Oct 25];35(7):946–50. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2381536642. Tutal E, Sayın B, Ertugrul DT, Ibis A, Sezer S, Ozdemir N. Is there a link between hyperuricemia, morning blood pressure surge, and non-dipping blood pressure pattern in metabolic syndrome patients? Int J Nephrol Renovasc Dis [Internet]. Dove Press; 2013 [cited 2016 Oct 25];6:71–7. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2366207243. Inal S, Karakoç MA, Kan E, Ebinç FA, Törüner FB, Aslan M. The effect of overt and subclinical hypothyroidism on the development of non-dipper blood pressure. Endokrynol Pol [Internet]. 2012 [cited 2016 Oct 26];63(2):97–103. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2253874744. Demir M, Günay T, Özmen G, Melek M. Relationship between vitamin D deficiency and nondipper hypertension. Clin Exp Hypertens [Internet]. 2013 [cited 2016 Oct 26];35(1):45–9. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2259496745. Hermida RC, Ayala DE, Smolensky MH, Fernández JR, Mojón A, Portaluppi F. Chronotherapy with conventional blood pressure medications improves management of hypertension and reduces cardiovascular and stroke risks. Hypertens Res [Internet]. 2016 May [cited 2016 Oct 21];39(5):277–92. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2665700846. Hermida RC, Ayala DE, Mojón A, Smolensky MH, Portaluppi F, Fernández JR. Sleep-time ambulatory blood pressure as a novel therapeutic target for cardiovascular risk reduction. J Hum Hypertens [Internet]. 2014 Oct [cited 2016 Oct 25];28(10):567–74. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2450072147. Sousa F, Neves J, Ferreira R, Polonia J, Bastos JM. 1B.05: IN HYPERTENSION THE CHANGE FROM A NON-DIPPER TO A DIPPER PATTERN IS ASSOCIATED WITH A BETTER CARDIOVASCULAR PROGNOSIS THAN THE PERSISTENCE WITHIN THE NON-DIPPER PATTERN. J Hypertens [Internet]. 2015 Jun [cited 2016 Oct 21];33 Suppl 1:e6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2610286848. Sagarra-Tió M, Félez-Carrobé E, Baiget M, Félez J. Assessment of primary healthcare professionals’ management of hypertensive patients with riser pattern. Eur J Cardiovasc Nurs [Internet]. 2015 Feb [cited 2016 Oct 25];14(1):73–8. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2439611449. Hermida RC, Ayala DE, Smolensky MH, Mojón A, Fernández JR, Crespo JJ, et al. Chronotherapy improves blood pressure control and reduces vascular risk in CKD. Nat Rev Nephrol [Internet]. 2013 Jun [cited 2016 Oct 25];9(6):358–68. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2360956550. Kececi Savan D, Cengiz M, Yavuzer H, Yavuzer S, Sulu C, Doventas A, et al. Relation of ambulatory blood pressure measurement and cognitive functions in hypertensive elderly patients. Aging Clin Exp Res [Internet]. 2016 Aug [cited 2016 Oct 21];28(4):699–704. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2652602951. Wang C, Deng W-J, Gong W-Y, Zhang J, Zhang Q-Z, Ye ZC, et al. Nocturnal Hypertension Correlates Better With Target Organ Damage in Patients With Chronic Kidney Disease than a Nondipping Pattern. J Clin Hypertens (Greenwich) [Internet]. 2015 Oct [cited 2016 Oct 21];17(10):792–801. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2604136252. Akpinar I, Basar N, Sen N, Kisacik HL. Evaluation of biochemical, hematological,and thyroid function parameters in nondipper and dipper hypertensive patients. Wien Klin Wochenschr [Internet]. 2012 Jul 6 [cited 2017 Feb 28];124(13–14):439–43. Available from: http://link.springer.com/10.1007/s00508-012-0196-z53. Ríos MT, Domínguez-Sardiña M, Ayala DE, Gomara S, Sineiro E, Pousa L, et al. Prevalence and Clinical Characteristics of Isolated-Office and True Resistant Hypertension Determined by Ambulatory Blood Pressure Monitoring. Chronobiol Int [Internet]. 2013 Mar 19 [cited 2017 Feb 28];30(1–2):207–20. Available from: http://www.ncbi.nlm.nih.gov/pubmed/2307797554. Ruiz ÁJ, Aschner PJ, Puerta MF, Alfonso-Cristancho R. Estudio IDEA (International Day for Evaluation of Abdominal Obesity): prevalencia de obesidad abdominal y factores de riesgo asociados en atención primaria en Colombia. Biomédica [Internet]. 2012 Jun 14 [cited 2017 Feb 28];32(4). Available from: http://www.revistabiomedica.org/index.php/biomedica/article/view/79955. Buendía R, Zambrano M, Díaz Á, Reino A, Ramírez J, Espinosa E. Puntos de corte de perímetro de cintura para el diagnóstico de obesidad abdominal en población colombiana usando bioimpedanciometría como estándar de referencia. Rev Colomb Cardiol. 2016;23(1):19–25.56. Lanas F, Avezum A, Bautista LE, Diaz R, Luna M, Islam S, et al. Risk factors for acute myocardial infarction in Latin America: the INTERHEART Latin American study. Circulation [Internet]. 2007 Mar 6 [cited 2017 Feb 28];115(9):1067–74. Available from: http://circ.ahajournals.org/cgi/doi/10.1161/CIRCULATIONAHA.106.63355257. Careaga M, Esmatjes E, Nuñez I, Molero J, Vidal J, Flores L. Effect of weight loss on abnormal 24-hour blood pressure patterns in severely obese patients. Surg Obes Relat Dis [Internet]. 2016 Nov [cited 2017 Feb 28];12(9):1719–24. Available from: http://linkinghub.elsevier.com/retrieve/pii/S155072891501116858. Yeboah J, McClelland RL, Polonsky TS, Burke GL, Sibley CT, O’Leary D, et al.Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals. JAMA [Internet]. NIH Public Access; 2012 Aug 22 [cited 2017 Apr 25];308(8):788–95. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22910756ORIGINAL2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdfTesisapplication/pdf1823334https://repository.unab.edu.co/bitstream/20.500.12749/1745/1/2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf0b8bacca5188cb092a29152c4a8c7024MD51open access2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdfLicenciaapplication/pdf748846https://repository.unab.edu.co/bitstream/20.500.12749/1745/2/2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf9fd32be0db377dec20db8788a1ba3059MD52metadata only accessTHUMBNAIL2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf.jpg2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf.jpgIM Thumbnailimage/jpeg4742https://repository.unab.edu.co/bitstream/20.500.12749/1745/3/2017_Tesis_Nestor_Fabian_Blanco_Barrera.pdf.jpg4a67351068f0a713325538901822548aMD53open access2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf.jpg2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf.jpgIM Thumbnailimage/jpeg11834https://repository.unab.edu.co/bitstream/20.500.12749/1745/4/2017_Licencia_Nestor_Fabian_Blanco_Barrera.pdf.jpg78d383e1c08eb8c1fd64cdd38e495e20MD54metadata only access20.500.12749/1745oai:repository.unab.edu.co:20.500.12749/17452024-01-21 10:20:25.287open accessRepositorio Institucional | Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.co

Publicaciones similares