Amr Jijakli, Katelyn Skeels, Devin Zebelean, Krista Swanson, Ashley LaChance, Brigid Dwyer, Ariel Savitz, Emiliya Melkumova, Lester Y Leung
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引用次数: 0
Abstract
Background and objectives: Decisions on enteral nutrition for patients with dysphagia after acute ischemic stroke (AIS) are often not evidence based. We sought to determine whether development of a nutritional support algorithm leveraging the Predictive Swallowing Score (PRESS) could improve process times without placement of unnecessary gastrostomies.
Methods: This is a quality improvement study conducted at an academic medical center comparing a 6-month cohort of adults with AIS and dysphagia prepathway (PRE, July 1, 2019-December 31, 2019) and a 6-month cohort postpathway (POST, January 1, 2020-June 30, 2020). Gastrostomy recommendation, time to gastrostomy decision (TTD), discharge with gastrostomy, discharge with a nasogastric tube (NGT), and length of stay (LOS) were compared between groups.
Results: Among 121 patients with AIS and dysphagia, 58 (48%) were hospitalized prealgorithm and 63 (52%) postalgorithm. PRE TTD was longer than POST TTD (4.5 vs 1.5 days, p = 0.004). Frequency of gastrostomy was similar between PRE and POST (12% vs 8%, p = 0.58). LOS for patients recommended gastrostomy was longer in PRE (14.5 vs 6.5 days, p = 0.03). Frequency of discharge with NGT was numerically higher in POST but not significantly different (0.7% vs 6%, p = 0.4). Overall, LOS was the same in both groups (5 days).
Discussion: Development of a structured nutritional support algorithm incorporating PRESS may help facilitate sooner gastrostomy placement without increasing gastrostomy placement frequency and encourage more discharges to inpatient rehabilitation facilities with NGTs.
期刊介绍:
Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.