Prognostic Value of Reading-to-Reading Blood Pressure Variability Over 24 Hours in 8938 Subjects From 11 Populations
In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed B...
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| Published in | Hypertension (Dallas, Tex. 1979) Vol. 55; no. 4; pp. 1049 - 1057 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hagerstown, MD
American Heart Association, Inc
01.04.2010
Lippincott Williams & Wilkins |
| Subjects | |
| Online Access | Get full text |
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| Abstract | In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted (P≤0.03) total (HR1.14) and cardiovascular (HR1.21) mortality and all types of fatal combined with nonfatal end points (HR≥1.07) with the exception of cardiac and coronary events (HR≤1.02; P≥0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted (P<0.05) total (HR1.11) and cardiovascular (HR1.16) mortality and all fatal combined with nonfatal end points (HR≥1.07), with the exception of cardiac and coronary events (HR≤1.03; P≥0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP. |
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| AbstractList | In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age: 53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted (P<or=0.03) total (HR: 1.14) and cardiovascular (HR: 1.21) mortality and all types of fatal combined with nonfatal end points (HR: >or=1.07) with the exception of cardiac and coronary events (HR: <or=1.02; P>or=0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted (P<0.05) total (HR: 1.11) and cardiovascular (HR: 1.16) mortality and all fatal combined with nonfatal end points (HR: >or=1.07), with the exception of cardiac and coronary events (HR: <or=1.03; P>or=0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP. In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted (P≤0.03) total (HR1.14) and cardiovascular (HR1.21) mortality and all types of fatal combined with nonfatal end points (HR≥1.07) with the exception of cardiac and coronary events (HR≤1.02; P≥0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted (P<0.05) total (HR1.11) and cardiovascular (HR1.16) mortality and all fatal combined with nonfatal end points (HR≥1.07), with the exception of cardiac and coronary events (HR≤1.03; P≥0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP. In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age: 53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted (P<or=0.03) total (HR: 1.14) and cardiovascular (HR: 1.21) mortality and all types of fatal combined with nonfatal end points (HR: >or=1.07) with the exception of cardiac and coronary events (HR: <or=1.02; P>or=0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted (P<0.05) total (HR: 1.11) and cardiovascular (HR: 1.16) mortality and all fatal combined with nonfatal end points (HR: >or=1.07), with the exception of cardiac and coronary events (HR: <or=1.03; P>or=0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP.In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age: 53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted (P<or=0.03) total (HR: 1.14) and cardiovascular (HR: 1.21) mortality and all types of fatal combined with nonfatal end points (HR: >or=1.07) with the exception of cardiac and coronary events (HR: <or=1.02; P>or=0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted (P<0.05) total (HR: 1.11) and cardiovascular (HR: 1.16) mortality and all fatal combined with nonfatal end points (HR: >or=1.07), with the exception of cardiac and coronary events (HR: <or=1.03; P>or=0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP. In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age: 53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted ( P ≤0.03) total (HR: 1.14) and cardiovascular (HR: 1.21) mortality and all types of fatal combined with nonfatal end points (HR: ≥1.07) with the exception of cardiac and coronary events (HR: ≤1.02; P ≥0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted ( P <0.05) total (HR: 1.11) and cardiovascular (HR: 1.16) mortality and all fatal combined with nonfatal end points (HR: ≥1.07), with the exception of cardiac and coronary events (HR: ≤1.03; P ≥0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP. In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We followed health outcomes in 8938 subjects (mean age: 53.0 years; 46.8% women) randomly recruited from 11 populations. At baseline, we assessed BP variability from the SD and average real variability in 24-hour ambulatory BP recordings. We computed standardized hazard ratios (HRs) while stratifying by cohort and adjusting for 24-hour BP and other risk factors. Over 11.3 years (median), 1242 deaths (487 cardiovascular) occurred, and 1049, 577, 421, and 457 participants experienced a fatal or nonfatal cardiovascular, cardiac, or coronary event or a stroke. Higher diastolic average real variability in 24-hour ambulatory BP recordings predicted (Por=1.07) with the exception of cardiac and coronary events (HR: or=0.58). Higher systolic average real variability in 24-hour ambulatory BP recordings predicted (P<0.05) total (HR: 1.11) and cardiovascular (HR: 1.16) mortality and all fatal combined with nonfatal end points (HR: >or=1.07), with the exception of cardiac and coronary events (HR: or=0.54). SD predicted only total and cardiovascular mortality. While accounting for the 24-hour BP level, average real variability in 24-hour ambulatory BP recordings added <1% to the prediction of a cardiovascular event. Sensitivity analyses considering ethnicity, sex, age, previous cardiovascular disease, antihypertensive treatment, number of BP readings per recording, or the night:day BP ratio were confirmatory. In conclusion, in a large population cohort, which provided sufficient statistical power, BP variability assessed from 24-hour ambulatory recordings did not contribute much to risk stratification over and beyond 24-hour BP. |
| Author | Stolarz-Skrzypek, Katarzyna Kawecka-Jaszcz, Kalina Ibsen, Hans Boggia, José Björklund-Bodegård, Kristina Thijs, Lutgarde Malyutina, Sofia Sandoya, Edgardo Hansen, Tine W. Staessen, Jan A. Jeppesen, Jørgen Casiglia, Edoardo Lind, Lars Li, Yan Richart, Tom Wang, Jiguang Kuznetsova, Tatiana Dolan, Eamon Ohkubo, Takayoshi Nikitin, Yuri Torp-Pedersen, Christian Imai, Yutaka OʼBrien, Eoin Kikuya, Masahiro Tikhonoff, Valérie |
| AuthorAffiliation | From the Research Center for Prevention and Health and Department of Clinical Physiology (T.W.H.), Hvidovre University Hospital, Faculty of Health Sciences, Copenhagen, Denmark; Studies Coordinating Centre (Y.L., L.T., T.R., T.K., J.A.S.), Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, University of Leuven, Leuven, Belgium; Center for Epidemiological Studies and Clinical Trials (Y.L., J.W.) and Center for Vascular Evaluation, Shanghai Key Laboratory of Vascular Biology (Y.L.), Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Centro de Nefrología and Departamento de Fisiopatología (J.B.), Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay; Tohoku University Graduate School of Pharmaceutical Science and Medicine (M.K., T.O., Y.I.), Sendai, Japan; Section of Geriatrics (K.B.-B., L.L.), Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Copenhagen Uni |
| AuthorAffiliation_xml | – name: From the Research Center for Prevention and Health and Department of Clinical Physiology (T.W.H.), Hvidovre University Hospital, Faculty of Health Sciences, Copenhagen, Denmark; Studies Coordinating Centre (Y.L., L.T., T.R., T.K., J.A.S.), Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, University of Leuven, Leuven, Belgium; Center for Epidemiological Studies and Clinical Trials (Y.L., J.W.) and Center for Vascular Evaluation, Shanghai Key Laboratory of Vascular Biology (Y.L.), Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Centro de Nefrología and Departamento de Fisiopatología (J.B.), Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay; Tohoku University Graduate School of Pharmaceutical Science and Medicine (M.K., T.O., Y.I.), Sendai, Japan; Section of Geriatrics (K.B.-B., L.L.), Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Copenhagen University Hospital (J.J., C.T.-P.), Copenhagen, Denmark; Cambridge University Hospitals (E.D.), Addenbrookʼs Hospital, Cambridge, United Kingdom; First Department of Cardiology and Hypertension (K.S.-S., K.K.-J.), Jagiellonian University Medical College, Kraków, Poland; Department of Clinical and Experimental Medicine (V.T., E.C.), University of Padova, Padova, Italy; Institute of Internal Medicine (T.K., S.M., Y.N.), Novosibirsk, Russian Federation; Asociación Española Primera de Socorros Mutuos (E.S.), Montevideo, Uruguay; Aarhus University and Division of Cardiology (H.I.), Holbak Hospital, Holbak, Denmark; Conway Institute of Biomolecular and Biomedical Research (E.O.), University College Dublin, Dublin, Ireland; Department of Epidemiology (T.R., J.A.S.), Maastricht University, Maastricht, The Netherlands |
| Author_xml | – sequence: 1 givenname: Tine surname: Hansen middlename: W. fullname: Hansen, Tine W. organization: From the Research Center for Prevention and Health and Department of Clinical Physiology (T.W.H.), Hvidovre University Hospital, Faculty of Health Sciences, Copenhagen, Denmark; Studies Coordinating Centre (Y.L., L.T., T.R., T.K., J.A.S.), Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, University of Leuven, Leuven, Belgium; Center for Epidemiological Studies and Clinical Trials (Y.L., J.W.) and Center for Vascular Evaluation, Shanghai Key Laboratory of Vascular Biology (Y.L.), Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Centro de Nefrología and Departamento de Fisiopatología (J.B.), Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay; Tohoku University Graduate School of Pharmaceutical Science and Medicine (M.K., T.O., Y.I.), Sendai, Japan; Section of Geriatrics (K.B.-B., L.L.), Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden; Copenhagen University Hospital (J.J., C.T.-P.), Copenhagen, Denmark; Cambridge University Hospitals (E.D.), Addenbrookʼs Hospital, Cambridge, United Kingdom; First Department of Cardiology and Hypertension (K.S.-S., K.K.-J.), Jagiellonian University Medical College, Kraków, Poland; Department of Clinical and Experimental Medicine (V.T., E.C.), University of Padova, Padova, Italy; Institute of Internal Medicine (T.K., S.M., Y.N.), Novosibirsk, Russian Federation; Asociación Española Primera de Socorros Mutuos (E.S.), Montevideo, Uruguay; Aarhus University and Division of Cardiology (H.I.), Holbak Hospital, Holbak, Denmark; Conway Institute of Biomolecular and Biomedical Research (E.O.), University College Dublin, Dublin, Ireland; Department of Epidemiology (T.R., J.A.S.), Maastricht University, Maastricht, The Netherlands – sequence: 2 givenname: Lutgarde surname: Thijs fullname: Thijs, Lutgarde – sequence: 3 givenname: Yan surname: Li fullname: Li, Yan – sequence: 4 givenname: José surname: Boggia fullname: Boggia, José – sequence: 5 givenname: Masahiro surname: Kikuya fullname: Kikuya, Masahiro – sequence: 6 givenname: Kristina surname: Björklund-Bodegård fullname: Björklund-Bodegård, Kristina – sequence: 7 givenname: Tom surname: Richart fullname: Richart, Tom – sequence: 8 givenname: Takayoshi surname: Ohkubo fullname: Ohkubo, Takayoshi – sequence: 9 givenname: Jørgen surname: Jeppesen fullname: Jeppesen, Jørgen – sequence: 10 givenname: Christian surname: Torp-Pedersen fullname: Torp-Pedersen, Christian – sequence: 11 givenname: Eamon surname: Dolan fullname: Dolan, Eamon – sequence: 12 givenname: Tatiana surname: Kuznetsova fullname: Kuznetsova, Tatiana – sequence: 13 givenname: Katarzyna surname: Stolarz-Skrzypek fullname: Stolarz-Skrzypek, Katarzyna – sequence: 14 givenname: Valérie surname: Tikhonoff fullname: Tikhonoff, Valérie – sequence: 15 givenname: Sofia surname: Malyutina fullname: Malyutina, Sofia – sequence: 16 givenname: Edoardo surname: Casiglia fullname: Casiglia, Edoardo – sequence: 17 givenname: Yuri surname: Nikitin fullname: Nikitin, Yuri – sequence: 18 givenname: Lars surname: Lind fullname: Lind, Lars – sequence: 19 givenname: Edgardo surname: Sandoya fullname: Sandoya, Edgardo – sequence: 20 givenname: Kalina surname: Kawecka-Jaszcz fullname: Kawecka-Jaszcz, Kalina – sequence: 21 givenname: Yutaka surname: Imai fullname: Imai, Yutaka – sequence: 22 givenname: Jiguang surname: Wang fullname: Wang, Jiguang – sequence: 23 givenname: Hans surname: Ibsen fullname: Ibsen, Hans – sequence: 24 givenname: Eoin surname: OʼBrien fullname: OʼBrien, Eoin – sequence: 25 givenname: Jan surname: Staessen middlename: A. fullname: Staessen, Jan A. |
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| Cites_doi | 10.1016/j.amjhyper.2006.07.017 10.1097/00126097-200208000-00003 10.1161/circ.104.7.783 10.1097/00004872-200312000-00012 10.1097/00004872-200211000-00017 10.1038/ajh.2008.294 10.1016/j.amjhyper.2006.03.009 10.1097/00126097-200506000-00003 10.1161/01.hyp.0000170138.56903.7a 10.1016/S0140-6736(07)61538-4 10.1161/01.hyp.0000160402.39597.3b 10.1097/HJH.0b013e3282f2d36f 10.1161/hypertensionaha.107.104620 10.1291/hypres.28.1 10.1038/ajh.2009.103 10.1097/00004872-200409000-00012 10.1161/hypertensionaha.108.113191 10.1161/circulationaha.106.662254 10.1161/hyp.34.4.818 10.1016/j.amjhyper.2005.09.018 10.1161/hyp.36.5.901 10.1097/MBP.0b013e3280f813bc 10.1289/ehp.11667 10.1001/jama.295.24.2859 10.1097/00126097-200010000-00007 10.1161/hypertensionaha.107.088708 10.1097/HJH.0b013e32829c6a60 10.1097/00004872-199104000-00007 10.1161/01.hyp.0000200695.34024.4c |
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| References | e_1_3_3_16_2 e_1_3_3_19_2 e_1_3_3_18_2 (e_1_3_3_32_2) 1914; 28 e_1_3_3_13_2 e_1_3_3_12_2 e_1_3_3_15_2 (e_1_3_3_4_2) 2003; 23 e_1_3_3_14_2 e_1_3_3_33_2 e_1_3_3_11_2 e_1_3_3_30_2 e_1_3_3_10_2 e_1_3_3_31_2 (e_1_3_3_17_2) 1996; 1 (e_1_3_3_34_2) 1994; 8 e_1_3_3_6_2 e_1_3_3_5_2 e_1_3_3_8_2 e_1_3_3_7_2 e_1_3_3_28_2 e_1_3_3_9_2 e_1_3_3_27_2 e_1_3_3_29_2 e_1_3_3_24_2 e_1_3_3_23_2 e_1_3_3_26_2 e_1_3_3_25_2 e_1_3_3_2_2 e_1_3_3_20_2 e_1_3_3_1_2 e_1_3_3_22_2 e_1_3_3_3_2 e_1_3_3_21_2 Hypertension. 2010 Jun;55(6):e27 20566957 - Hypertension. 2010 Aug;56(2):e21; author reply e22 |
| References_xml | – ident: e_1_3_3_8_2 doi: 10.1016/j.amjhyper.2006.07.017 – ident: e_1_3_3_20_2 doi: 10.1097/00126097-200208000-00003 – ident: e_1_3_3_3_2 doi: 10.1161/circ.104.7.783 – volume: 23 start-page: 505 year: 2003 ident: e_1_3_3_4_2 publication-title: J Hypertens – ident: e_1_3_3_6_2 doi: 10.1097/00004872-200312000-00012 – ident: e_1_3_3_21_2 doi: 10.1097/00004872-200211000-00017 – ident: e_1_3_3_5_2 doi: 10.1038/ajh.2008.294 – volume: 8 start-page: 239 year: 1994 ident: e_1_3_3_34_2 publication-title: J Hum Hypertens – volume: 28 start-page: 693 year: 1914 ident: e_1_3_3_32_2 publication-title: Br Med J – ident: e_1_3_3_9_2 doi: 10.1016/j.amjhyper.2006.03.009 – ident: e_1_3_3_22_2 doi: 10.1097/00126097-200506000-00003 – ident: e_1_3_3_27_2 doi: 10.1161/01.hyp.0000170138.56903.7a – ident: e_1_3_3_30_2 – ident: e_1_3_3_1_2 doi: 10.1016/S0140-6736(07)61538-4 – volume: 1 start-page: 13 year: 1996 ident: e_1_3_3_17_2 publication-title: Blood Press Monit – ident: e_1_3_3_16_2 doi: 10.1161/01.hyp.0000160402.39597.3b – ident: e_1_3_3_29_2 doi: 10.1097/HJH.0b013e3282f2d36f – ident: e_1_3_3_31_2 doi: 10.1161/hypertensionaha.107.104620 – ident: e_1_3_3_2_2 doi: 10.1291/hypres.28.1 – ident: e_1_3_3_7_2 doi: 10.1038/ajh.2009.103 – ident: e_1_3_3_12_2 doi: 10.1097/00004872-200409000-00012 – ident: e_1_3_3_15_2 doi: 10.1161/hypertensionaha.108.113191 – ident: e_1_3_3_14_2 doi: 10.1161/circulationaha.106.662254 – ident: e_1_3_3_23_2 doi: 10.1161/hyp.34.4.818 – ident: e_1_3_3_26_2 doi: 10.1016/j.amjhyper.2005.09.018 – ident: e_1_3_3_10_2 doi: 10.1161/hyp.36.5.901 – ident: e_1_3_3_13_2 doi: 10.1097/MBP.0b013e3280f813bc – ident: e_1_3_3_28_2 doi: 10.1289/ehp.11667 – ident: e_1_3_3_18_2 doi: 10.1001/jama.295.24.2859 – ident: e_1_3_3_19_2 doi: 10.1097/00126097-200010000-00007 – ident: e_1_3_3_11_2 doi: 10.1161/hypertensionaha.107.088708 – ident: e_1_3_3_25_2 doi: 10.1097/HJH.0b013e32829c6a60 – ident: e_1_3_3_24_2 doi: 10.1097/00004872-199104000-00007 – ident: e_1_3_3_33_2 doi: 10.1161/01.hyp.0000200695.34024.4c – reference: - Hypertension. 2010 Jun;55(6):e27 – reference: 20566957 - Hypertension. 2010 Aug;56(2):e21; author reply e22 |
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| Snippet | In previous studies, of which several were underpowered, the relation between cardiovascular outcome and blood pressure (BP) variability was inconsistent. We... |
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| SubjectTerms | Ambulatory blood pressure Blood Pressure - physiology Blood Pressure Monitoring, Ambulatory Blood pressure variability Cardiovascular Diseases - epidemiology Cardiovascular Diseases - physiopathology Circadian Rhythm - physiology Databases, Factual Epidemiology Female Humans Incidence Male MEDICIN MEDICINE Middle Aged Population science Prognosis Proportional Hazards Models Risk Factors Surveys and Questionnaires |
| Title | Prognostic Value of Reading-to-Reading Blood Pressure Variability Over 24 Hours in 8938 Subjects From 11 Populations |
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