Outcomes related to intravenous fluid administration in sickle cell patients during vaso-occlusive crisis.
Daria GautJennifer JonesCaroline ChenSanaz GhafouriMei LengRoswell QuinnPublished in: Annals of hematology (2020)
While fluid replacement therapy is a primary treatment modality used in vaso-occlusive crises for sickle cell disease, data is limited on its safety, efficacy, and variability. We performed a retrospective analysis on 157 unique patient encounters from 49 sickle cell patients hospitalized with a vaso-occlusive episode at our institution from 2013 to 2017. The median length of hospital stay was 4 days (IQR 2-7). The mean total amount of intravenous fluid administered during the hospitalization was 7.4 L (Std 9.6). The mean total amount of fluid intake including intravenous fluids, blood transfusions, and oral fluids was 14.2 L (Std 18.2). Multivariate analyses revealed significant associations between the development of any adverse event (including a new oxygen requirement, acute chest syndrome, aspiration event, other hospital-acquired infection, acute kidney injury, and intensive care unit transfer) and the following variables: intravenous fluid administered in the first 24 h (p = 0.001, OR 1.899, 95% CI 1.319-2.733), total amount of intravenous fluid administered (p = 0.005, OR 1.081, 95% CI 1.023-1.141), and total amount of fluid intake including oral fluids, blood transfusions, and intravenous fluids (p = 0.009, OR 1.046, 95% CI 1.011-1.081). Other factors found to be significantly associated with any adverse event were dialysis dependence prior to admission (p < 0.001, OR 12.984, 95% CI 3.660-46.056) and admission to an inpatient service versus an emergency room or observation unit (p = 0.008, OR 3.201, 95% CI 1.346-7.612). While fluid administration may theoretically slow the sickling process, this data suggests that fluid administration during a vaso-occlusive episode, and especially total volume given in the first 24 h, may also lead to adverse events.
Keyphrases
- sickle cell disease
- end stage renal disease
- intensive care unit
- high dose
- chronic kidney disease
- healthcare
- acute kidney injury
- replacement therapy
- emergency department
- ejection fraction
- peritoneal dialysis
- newly diagnosed
- public health
- mental health
- palliative care
- big data
- metabolic syndrome
- physical activity
- case report
- machine learning
- patient reported outcomes
- prognostic factors
- data analysis
- extracorporeal membrane oxygenation
- artificial intelligence
- aortic dissection
- deep learning
- ultrasound guided