Febrile Neutropenia, Fever
Conditions
Brief summary
This trial uses an interview and a survey to gather information from cancer patients about the onset of their fever and the administration of antibiotics. Collecting information from patients may help doctors to assess the relationship between time to antibiotic administration and inhospital cause specific death, intensive care unit admission, hospital length of stay, and positive blood cultures.
Detailed description
PRIMARY OBJECTIVES: I. To assess the prognostic value of the length of time between the time onset of fever and first antibiotic administration on cause specific 14 day mortality rate. SECONDARY OBJECTIVES: I. To assess the associations of the length of time between the time onset of fever and first antibiotic administration with intensive care unit (ICU) admission, ICU length of stay, length of hospitalization and percentage of patients with positive blood cultures. OUTLINE: Patients respond to a survey and participate in an interview with study staff about their fever and when they started feeling unwell.
Interventions
Take part in interview
Respond to survey
Sponsors
Study design
Eligibility
Inclusion criteria
IInclusion criteria: --\> 18 years of age * Temperature above 38.0 documented * ANC\< 500/mm3
Exclusion criteria
--Age \<18
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 14 day cause specific mortality rate | At 14 days | Will perform univariate logistic regression analysis to assess the effect of time to antibiotic administration on death 14 days post fever onset. Will build multivariate logistic regression model(s) to further assess the effect of time to antibiotic administration on death 14 days post fever onset adjusting for other potential confounders. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Cause specific death | Up to 5 years | — |
| Intensive care unit (ICU) admission rate | Up to 5 years | — |
| ICU length of stay | Up to 5 years | Linear regression model will be used to assess the multivariate relationship between time to antibiotic administration, patient demographic and clinical characteristics with ICU length of stay. |
| Length of hospitalization | Up to 5 years | Linear regression model will be used to assess the multivariate relationship between time to antibiotic administration, patient demographic and clinical characteristics with length of hospitalization. |
| Percentage of patients with positive blood cultures | Up to 5 years | — |
Countries
United States