Lack of early left ventricular outflow tract velocity time integral estimated volume responsiveness is associated with increased morbidity and mortality
Annals of Emergency Medicine
; 78(4 Suppl):S123-S124, 2021.
Article
in English
| GIM | ID: covidwho-2035735
ABSTRACT
Background:
Fluid boluses are amongst the strongest recommendations for the management of septic patients, and they are generally administered with the goal increasing cardiac output and improving tissue perfusion. Early identification of volume responsiveness is challenging and dependent on many patient factors, but it may prevent the harmful consequences of hypervolemia. Left ventricular outflow tract (LVOT) velocity time integral (VTI) has been used as a predictor of volume responsiveness. StudyObjectives:
The purpose of this study was to determine whether lack of volume responsiveness, defined as =15% change in LVOT VTI, is associated with increased risk of mortality, admission to an intensive care unit (ICU), or rapid response team activation within 24 hours of hospital arrival (composite outcome measure). We hypothesize that septic patients who are not volume responders will be more critically ill and therefore at greater risk of experiencing the composite outcome.
human diseases; patients; risk factors; mortality; cohort studies; intensive care units; health care; morbidity; risk; hospital admission; observational studies; man; Severe acute respiratory syndrome coronavirus 2; USA; New York; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; APEC countries; high income countries; North America; America; OECD Countries; very high Human Development Index countries; Severe acute respiratory syndrome-related coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense ssRNA Viruses; ssRNA Viruses; RNA Viruses; viruses; Middle Atlantic States of USA; Northeastern States of USA; prospective studies; echocardiogram; death rate; United States of America; SARS-CoV-2
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Language:
English
Journal:
Annals of Emergency Medicine
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS