BACKGROUND: The aim of this study was to develop and validate a reliable clinical prediction rule that could be employed to identify patients at higher likelihood of mortality among those with hematological malignancies (HMs) and bacterial bloodstream infections (BBSIs). METHODS AND FINDINGS: We conducted a retrospective cohort study in nine Italian hematological units. The derivation cohort consisted of adult patients with BBSI and HMs admitted to the Catholic University Hospital (Rome) between January 2002 and December 2008. Survivors and nonsurvivors were compared to identify predictors of 30-day mortality. The validation cohort consisted of patients hospitalized with BBSI and HMs who were admitted in 8 other Italian hematological units ...
Aim: To provide expert consensus on the clinical indicators that signal a person with a haematologic...
AbstractThe purpose of this study was to identify factors influencing mortality in neutropenic patie...
OBJECTIVE: To evaluate the correlation between specific prognosis of hematologic malignancies on the...
Background: The aim of this study was to develop and validate a reliable clinical prediction rule th...
We conducted a retrospective cohort study to identify risk factors for mortality in a large cohort o...
We conducted a retrospective cohort study to identify risk factors for mortality in a large cohort o...
logical malignancies are at increased risk for devel-oping bacteremia. No previous study has investi...
AbstractA risk score was recently derived to predict mortality in adult patients with Gram-negative ...
Abstract Background Bloodstream Infections (BSIs) in neutropenic patients often cause considerable m...
BACKGROUND: Mortality prediction models of patients with a haematological malignancy admitted to an ...
MOTIVATION: Patients with hematological malignancies are susceptible to life-threatening infections ...
AbstractBacteraemia is associated with high mortality. Although many models for predicting bacteraem...
BackgroundMortality prediction models of patients with a haematological malignancy admitted to an in...
Background/PurposeBloodstream infection (BSI) is a serious infection with a high mortality. We aimed...
BackgroundMortality prediction models of patients with a haematological malignancy admitted to an in...
Aim: To provide expert consensus on the clinical indicators that signal a person with a haematologic...
AbstractThe purpose of this study was to identify factors influencing mortality in neutropenic patie...
OBJECTIVE: To evaluate the correlation between specific prognosis of hematologic malignancies on the...
Background: The aim of this study was to develop and validate a reliable clinical prediction rule th...
We conducted a retrospective cohort study to identify risk factors for mortality in a large cohort o...
We conducted a retrospective cohort study to identify risk factors for mortality in a large cohort o...
logical malignancies are at increased risk for devel-oping bacteremia. No previous study has investi...
AbstractA risk score was recently derived to predict mortality in adult patients with Gram-negative ...
Abstract Background Bloodstream Infections (BSIs) in neutropenic patients often cause considerable m...
BACKGROUND: Mortality prediction models of patients with a haematological malignancy admitted to an ...
MOTIVATION: Patients with hematological malignancies are susceptible to life-threatening infections ...
AbstractBacteraemia is associated with high mortality. Although many models for predicting bacteraem...
BackgroundMortality prediction models of patients with a haematological malignancy admitted to an in...
Background/PurposeBloodstream infection (BSI) is a serious infection with a high mortality. We aimed...
BackgroundMortality prediction models of patients with a haematological malignancy admitted to an in...
Aim: To provide expert consensus on the clinical indicators that signal a person with a haematologic...
AbstractThe purpose of this study was to identify factors influencing mortality in neutropenic patie...
OBJECTIVE: To evaluate the correlation between specific prognosis of hematologic malignancies on the...