CHALLENGES IN ASSESSING THE IMPACT OF HYPONATREMIA MANAGEMENT ON LENGTH OF STAY- INTERIM RESULTS FROM A GLOBAL, MULTI-CENTER, PROSPECTIVE, OBSERVATIONAL REGISTRY OF HOSPITALIZED HYPERVOLEMIC AND EUVOLEMIC HYPONATREMIC PATIENTS

Author(s)

Dasta JF*1;Amin A2;Chiong JR3;Greenberg A4;Verbalis JG5, Chiodo J6 1Ohio State University, Columbus, OH, USA, 2University of California-Irvine, Orange, CA, USA, 3Loma Linda University, Loma Linda, CA, USA, 4Duke University, Durham, NC, USA, 5Georgetown University, Washington, DC, USA, 6Otsuka America Pharmaceutical, Inc., Princeton, NJ, USA

OBJECTIVES: Hyponatremia (HN) is the most common electrolyte abnormality in hospitalized patients. Because of the methodological difficulties, little is known regarding the impact and management of HN on patient outcomes and health care resource usage. The HN Registry is a novel prospective effort to document the clinical management and healthcare outcomes of HN. METHODS: After informed consent or waiver, data were extracted from medical charts of patients enrolled in the HN registry. HN was defined as a serum sodium ≤ 130 mmol/L.  Data from these eligible patients are summarized by sample size (n) and percentage (%) for categorical data, and mean and standard deviation for continuous data. Since there is no universal definition, length of stay (LOS) was calculated in several ways including LOS from date of HN identification (LOS 1), LOS from date of HN treatment initiation (LOS 2), and LOS limited to cases where treatment started within 2 days of HN identification (LOS 3). RESULTS: A total of 3795 of the 4909 patients enrolled at 253 (US=160, EU=93) sites between Sept 2010 and January 2013 had sufficient data for analysis.  For fluid restriction, LOS 1=8.1±8.4, LOS 2=7.4±8.9, LOS 3=7.4±9.0. For pharmacological therapy, LOS 1=8.7±8.9, LOS 2=7.1±8.2, LOS 7.4±6.9.  For hypertonic saline, LOS 1=7.0±7.3, LOS 2=6.1±6.0, LOS 3=3.7±2.2, LOS 4=6.3±6.3. CONCLUSIONS: Our analysis shows a considerable of LOS variability by HN management and LOS definition.  By correcting the analysis for baseline factors and outliers, the effect of HN management on LOS may become clearer.

Conference/Value in Health Info

2013-05, ISPOR 2013, New Orleans, LA, USA

Value in Health, Vol. 16, No. 3 (May 2013)

Code

PRM29

Topic

Methodological & Statistical Research

Topic Subcategory

Confounding, Selection Bias Correction, Causal Inference

Disease

Diabetes/Endocrine/Metabolic Disorders

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×