JACC: Heart Failure, ISSN 2213-1779, 2015, Volume 4, Issue 3, pp. 208 - 217
Abstract Objectives This study tested whether combined invasive hemodynamic and echocardiographic ramp tests can help optimize patient management. Background...
Cardiovascular | 3D echocardiography | left ventricular assist device | unloading | hemodynamics | ramp | Left ventricular assist device | Unloading | Hemodynamics | Ramp | CARDIAC & CARDIOVASCULAR SYSTEMS | THROMBOSIS | HEARTMATE II | PUMP | TRANSPLANTATION | SPEED OPTIMIZATION | SUPPORT | IMPACT | IMPLANTATION | CONTINUOUS-FLOW | Prospective Studies | Humans | Middle Aged | Heart Failure - physiopathology | Male | Hemodynamics - physiology | Ventricular Dysfunction, Left - physiopathology | Heart Failure - therapy | Ventricular Dysfunction, Left - therapy | Exercise Test | Electrocardiography | Female | Heart-Assist Devices
Cardiovascular | 3D echocardiography | left ventricular assist device | unloading | hemodynamics | ramp | Left ventricular assist device | Unloading | Hemodynamics | Ramp | CARDIAC & CARDIOVASCULAR SYSTEMS | THROMBOSIS | HEARTMATE II | PUMP | TRANSPLANTATION | SPEED OPTIMIZATION | SUPPORT | IMPACT | IMPLANTATION | CONTINUOUS-FLOW | Prospective Studies | Humans | Middle Aged | Heart Failure - physiopathology | Male | Hemodynamics - physiology | Ventricular Dysfunction, Left - physiopathology | Heart Failure - therapy | Ventricular Dysfunction, Left - therapy | Exercise Test | Electrocardiography | Female | Heart-Assist Devices
Journal Article
Journal of Cardiac Failure, ISSN 1071-9164, 2017, Volume 23, Issue 7, pp. 545 - 551
Highlights • LVAD patients with AI have elevated filling pressures and reduced PAPi. • Elevated PCWP in the presence of AI can be reduced with increased LVAD...
Cardiovascular | left ventricular assist device | right ventricular failure | Aortic insufficiency | hemodynamics | SURVIVAL | CARDIAC & CARDIOVASCULAR SYSTEMS | FUSION | IMPLANTATION | insufficiency | ECHOCARDIOGRAPHIC RAMP TEST | VALVE | ARTERY PULSATILITY INDEX | FAILURE | Aortic Valve Insufficiency - diagnostic imaging | Heart-Assist Devices - trends | Humans | Middle Aged | Aortic Valve Insufficiency - physiopathology | Male | Hemodynamics - physiology | Aortic Valve Insufficiency - therapy | Adult | Female | Ventricular Function, Left - physiology | Aged | Cohort Studies | Medicine, Experimental | Medical research | Analysis | Mortality | Venous pressure | Aortic valve insufficiency
Cardiovascular | left ventricular assist device | right ventricular failure | Aortic insufficiency | hemodynamics | SURVIVAL | CARDIAC & CARDIOVASCULAR SYSTEMS | FUSION | IMPLANTATION | insufficiency | ECHOCARDIOGRAPHIC RAMP TEST | VALVE | ARTERY PULSATILITY INDEX | FAILURE | Aortic Valve Insufficiency - diagnostic imaging | Heart-Assist Devices - trends | Humans | Middle Aged | Aortic Valve Insufficiency - physiopathology | Male | Hemodynamics - physiology | Aortic Valve Insufficiency - therapy | Adult | Female | Ventricular Function, Left - physiology | Aged | Cohort Studies | Medicine, Experimental | Medical research | Analysis | Mortality | Venous pressure | Aortic valve insufficiency
Journal Article
Statistics in Medicine, ISSN 0277-6715, 07/2012, Volume 31, Issue 16, pp. 1675 - 1687
Missing data arise in crossover trials, as they do in any form of clinical trial. Several papers have addressed the problems that missing data create, although...
dropouts | intention to treat | inverse probability weighting | crossover design | missing data | Inverse probability weighting | Missing data | Crossover design | Dropouts | Intention to treat | MEDICINE, RESEARCH & EXPERIMENTAL | INCOMPLETE DATA | NONRESPONSE | ROBUSTNESS | CLINICAL-TRIAL | MEDICAL INFORMATICS | STATISTICS & PROBABILITY | LONGITUDINAL DATA | SEMIPARAMETRIC REGRESSION | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | MODELS | REPEATED OUTCOMES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | 2-PERIOD CROSSOVER | Cross-Over Studies | Clinical Trials as Topic - statistics & numerical data | Humans | Treatment Outcome | Models, Statistical | Patient Dropouts | Neuralgia - therapy
dropouts | intention to treat | inverse probability weighting | crossover design | missing data | Inverse probability weighting | Missing data | Crossover design | Dropouts | Intention to treat | MEDICINE, RESEARCH & EXPERIMENTAL | INCOMPLETE DATA | NONRESPONSE | ROBUSTNESS | CLINICAL-TRIAL | MEDICAL INFORMATICS | STATISTICS & PROBABILITY | LONGITUDINAL DATA | SEMIPARAMETRIC REGRESSION | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | MODELS | REPEATED OUTCOMES | MATHEMATICAL & COMPUTATIONAL BIOLOGY | 2-PERIOD CROSSOVER | Cross-Over Studies | Clinical Trials as Topic - statistics & numerical data | Humans | Treatment Outcome | Models, Statistical | Patient Dropouts | Neuralgia - therapy
Journal Article
The Lancet, ISSN 0140-6736, 11/2018, Volume 392, Issue 10159, pp. 1859 - 1922
How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change...
MEDICINE, GENERAL & INTERNAL | INTERVENTIONS | HIV | SEX-SPECIFIC MORTALITY | PREVENTION | STYLE | GENDER | WEIGHTS | AIDS | IRON-DEFICIENCY | Quality-Adjusted Life Years | Prevalence | Communicable Diseases - epidemiology | Global Burden of Disease - statistics & numerical data | Humans | Risk Factors | Male | Mortality - trends | Wounds and Injuries - epidemiology | Healthy Lifestyle - physiology | Life Expectancy - trends | Mortality, Premature - trends | Socioeconomic Factors | Wounds and Injuries - mortality | Global Burden of Disease - trends | Disabled Persons - statistics & numerical data | Female | Aged | Health Status | Neonates | Disorders | Sex | Males | Birth | Risk factors | Demographics | Mathematical analysis | Expenditures | Population | Chronic obstructive pulmonary disease | Trends | Heart diseases | Injuries | Retirement | Age | Stroke | Life expectancy | Health | Mortality | Lung diseases | Health risks | Risk analysis | Coronary artery disease | Diseases | Childbirth & labor | Studies | Charities | Life span | Obstructive lung disease | Scaling | Poisoning | Kidney diseases | Diabetes | Females | Tumors | Sociodemographics | Epidemiology medical and dental statistics: 803 | Epidemiologi medisinsk og odontologisk statistikk: 803 | VDP | Helsefag: 800 | Health sciences: 800 | Medisinske Fag: 700 | Medical disciplines: 700 | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
MEDICINE, GENERAL & INTERNAL | INTERVENTIONS | HIV | SEX-SPECIFIC MORTALITY | PREVENTION | STYLE | GENDER | WEIGHTS | AIDS | IRON-DEFICIENCY | Quality-Adjusted Life Years | Prevalence | Communicable Diseases - epidemiology | Global Burden of Disease - statistics & numerical data | Humans | Risk Factors | Male | Mortality - trends | Wounds and Injuries - epidemiology | Healthy Lifestyle - physiology | Life Expectancy - trends | Mortality, Premature - trends | Socioeconomic Factors | Wounds and Injuries - mortality | Global Burden of Disease - trends | Disabled Persons - statistics & numerical data | Female | Aged | Health Status | Neonates | Disorders | Sex | Males | Birth | Risk factors | Demographics | Mathematical analysis | Expenditures | Population | Chronic obstructive pulmonary disease | Trends | Heart diseases | Injuries | Retirement | Age | Stroke | Life expectancy | Health | Mortality | Lung diseases | Health risks | Risk analysis | Coronary artery disease | Diseases | Childbirth & labor | Studies | Charities | Life span | Obstructive lung disease | Scaling | Poisoning | Kidney diseases | Diabetes | Females | Tumors | Sociodemographics | Epidemiology medical and dental statistics: 803 | Epidemiologi medisinsk og odontologisk statistikk: 803 | VDP | Helsefag: 800 | Health sciences: 800 | Medisinske Fag: 700 | Medical disciplines: 700 | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
Journal Article
The Lancet, ISSN 0140-6736, 11/2018, Volume 392, Issue 10159, pp. 1923 - 1994
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor...
MEDICINE, GENERAL & INTERNAL | CARDIOVASCULAR-DISEASES | CHOLESTEROL | TRENDS | BLOOD-PRESSURE | Health Risk Behaviors | Age Distribution | Global Burden of Disease - statistics & numerical data | Humans | Middle Aged | Child, Preschool | Infant | Male | Socioeconomic Factors | Young Adult | Life Expectancy | Global Health - trends | Global Health - statistics & numerical data | Aged, 80 and over | Adult | Disabled Persons - statistics & numerical data | Female | Environmental Exposure - statistics & numerical data | Child | Infant, Newborn | Occupational Exposure - statistics & numerical data | Quality-Adjusted Life Years | Risk Assessment | Occupational Exposure - adverse effects | Metabolic Diseases - epidemiology | Environmental Exposure - adverse effects | Global Burden of Disease - trends | Adolescent | Sex Distribution | Aged | Occupational Diseases - epidemiology | Drinking water | Sex | Environmental changes | Gestation | Occupational exposure | Epidemiology | Risk factors | Ecological risk assessment | Heterogeneity | Demographics | Risk assessment | Aging | Blood pressure | Mathematical models | Trends | Statistical modelling | Public health | Injuries | Age | Environmental assessment | Population growth | Statistical analysis | Drinking behavior | Decision making | Regional analysis | Causation | Health risks | Exposure | Metabolism | Risk analysis | Estimates | Studies | Charities | Population (statistical) | Statistical models | Body mass | Alcoholic beverages | Air pollution | Fatalities | Birth weight | Water pollution | Kidney diseases | Diabetes | Indoor air pollution | Health planning | Smoking | Sociodemographics | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
MEDICINE, GENERAL & INTERNAL | CARDIOVASCULAR-DISEASES | CHOLESTEROL | TRENDS | BLOOD-PRESSURE | Health Risk Behaviors | Age Distribution | Global Burden of Disease - statistics & numerical data | Humans | Middle Aged | Child, Preschool | Infant | Male | Socioeconomic Factors | Young Adult | Life Expectancy | Global Health - trends | Global Health - statistics & numerical data | Aged, 80 and over | Adult | Disabled Persons - statistics & numerical data | Female | Environmental Exposure - statistics & numerical data | Child | Infant, Newborn | Occupational Exposure - statistics & numerical data | Quality-Adjusted Life Years | Risk Assessment | Occupational Exposure - adverse effects | Metabolic Diseases - epidemiology | Environmental Exposure - adverse effects | Global Burden of Disease - trends | Adolescent | Sex Distribution | Aged | Occupational Diseases - epidemiology | Drinking water | Sex | Environmental changes | Gestation | Occupational exposure | Epidemiology | Risk factors | Ecological risk assessment | Heterogeneity | Demographics | Risk assessment | Aging | Blood pressure | Mathematical models | Trends | Statistical modelling | Public health | Injuries | Age | Environmental assessment | Population growth | Statistical analysis | Drinking behavior | Decision making | Regional analysis | Causation | Health risks | Exposure | Metabolism | Risk analysis | Estimates | Studies | Charities | Population (statistical) | Statistical models | Body mass | Alcoholic beverages | Air pollution | Fatalities | Birth weight | Water pollution | Kidney diseases | Diabetes | Indoor air pollution | Health planning | Smoking | Sociodemographics | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
Journal Article