The aim of the study is to demonstrate that "frail" patients, defined as having a CFS score greater than or equal to 5, and "severely" frail patients, defined as having a CFS score between \[6-7\] as defined by Bagshaw et al (14), constitute an independent risk factor (RF) for mortality. In the same way, as an exploratory study, we will try to find out whether clinical frailty constitutes a risk factor for extending the length of hospital stay, the risk of short/medium-term readmission, as has already been demonstrated for patients admitted to intensive care from all causes (15), or for impaired quality of life. The objective is to have a better understanding of the implications and outcomes associated with pre-hospital frailty in young critically ill patients. This analysis will also help to clarify prognoses and contribute to better decision-making on the intensity and proportionality of care, as well as providing better information and helping to manage the expectations of patients and their families in terms of survival prognosis and subsequent quality of life.
Recent studies show the impact of frailty in a middle-aged or even young population of patients admitted to critical care in terms of mortality (13), and the persistent risk of impairment of physical and mental capacities after resuscitation (14). To date, few studies have looked at clinical frailty as a risk factor for mortality in a middle-aged or young population, more specifically those suffering from septic shock, which is already known to be a major factor in morbidity and mortality (15,16), with repercussions on long-term quality of life. The aim of the study is to demonstrate that "frail" patients, defined as having a CFS score greater than or equal to 5, and "severely" frail patients, defined as having a CFS score between \[6-7\] as defined by Bagshaw et al (14), constitute an independent risk factor (RF) for mortality. In the same way, as an exploratory study, we will try to find out whether clinical frailty constitutes a risk factor for extending the length of hospital stay, the risk of short/medium-term readmission, as has already been demonstrated for patients admitted to intensive care from all causes (15), or for impaired quality of life. The objective is to have a better understanding of the implications and outcomes associated with pre-hospital frailty in young critically ill patients. This analysis will also help to clarify prognoses and contribute to better decision-making on the intensity and proportionality of care, as well as providing better information and helping to manage the expectations of patients and their families in terms of survival prognosis and subsequent quality of life.
Study Type
OBSERVATIONAL
Enrollment
200
Ch Germon Et Gauthier
Béthune, France
RECRUITINGCH Boulogne sur Mer
Boulogne-sur-Mer, France
RECRUITINGCHU de Dijon
Dijon, France
RECRUITINGCH de Lens
Lens, France
RECRUITINGCHU Lille
Lille, France
RECRUITINGTo show that the frailty score on admission is a risk factor for mortality at D28, independent of known risk factors, in young patients admitted to intensive care (ICU) for sepsis or septic shock.
The odds ratio of frail patients to non-frail patients for the risk of all-cause death at D28
Time frame: 28 days after inclusion
To study the association, independently of known risk factors, between the frailty score on admission and mortality at day 90.
Time from admission to death or last news, censored at D90
Time frame: 90 days after inclusion
To study the association, independently of known risk factors, between the frailty score on admission and length of hospital stay
The time between admission to IS and live discharge from hospital, death is considered a concurrent risk, the data are censored at 90 days
Time frame: 90 days after inclusion
To study the association, independently of known risk factors, between the frailty score on admission and the number of days with recourse to invasive therapies
Number of days with mechanical ventilation, with amines, with recourse to extra-renal purification (EER) during the IS stay.
Time frame: 90 days after inclusion
To study the association, independently of known risk factors, between the frailty score on admission and readmission to critical care or hospitalisation before D90, among patients discharged alive from ICU before D90.
Readmission to critical care or hospitalisation before D90, among patients discharged alive from ICU before D90.
Time frame: 90 days after inclusion
To study the association, independently of known risk factors, between the frailty score on admission and describe changes in frailty between ICU admission and D90 in patients alive at D90.
Change in frailty score defined by the CFS (continuous) between admission and D90 (in hospital or at home).
Time frame: 90 days after inclusion
To study the association, independently of known risk factors, between the frailty score on admission and describe quality of life at D90 in patients alive at D90.
Quality of life measured by the EQ5D score at D90 (in hospital or at home).
Time frame: 90 days after inclusion
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