Amr Jijakli, Katelyn Skeels, Devin Zebelean, Krista Swanson, Ashley LaChance, Brigid Dwyer, Ariel Savitz, Emiliya Melkumova, Lester Y Leung
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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.</p><p><strong>Results: </strong>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, <i>p</i> = 0.004). Frequency of gastrostomy was similar between PRE and POST (12% vs 8%, <i>p</i> = 0.58). LOS for patients recommended gastrostomy was longer in PRE (14.5 vs 6.5 days, <i>p</i> = 0.03). Frequency of discharge with NGT was numerically higher in POST but not significantly different (0.7% vs 6%, <i>p</i> = 0.4). Overall, LOS was the same in both groups (5 days).</p><p><strong>Discussion: </strong>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.</p>","PeriodicalId":19136,"journal":{"name":"Neurology. 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引用次数: 0
摘要
背景和目的:急性缺血性卒中(AIS)后吞咽困难患者的肠内营养决策往往缺乏循证依据。我们试图确定利用预测性吞咽评分(PRESS)开发营养支持算法是否能在不放置不必要胃造口的情况下缩短流程时间:这是一项在学术医疗中心进行的质量改进研究,比较了AIS和吞咽困难成人患者的6个月队列路径前(PRE,2019年7月1日至2019年12月31日)和6个月队列路径后(POST,2020年1月1日至2020年6月30日)。各组间比较了胃造口术建议、决定胃造口术的时间(TTD)、胃造口术后出院、鼻胃管(NGT)后出院和住院时间(LOS):在121名患有AIS和吞咽困难的患者中,58人(48%)在算法前住院,63人(52%)在算法后住院。算法前住院时间长于算法后住院时间(4.5 天 vs 1.5 天,P = 0.004)。前期和后期的胃造口术频率相似(12% vs 8%, p = 0.58)。在 PRE,建议胃造瘘患者的住院时间更长(14.5 天 vs 6.5 天,p = 0.03)。使用 NGT 出院的频率在 PRE 中较高,但差异不大(0.7% vs 6%,p = 0.4)。总体而言,两组患者的住院时间相同(5 天):讨论:结合 PRESS 的结构化营养支持算法的开发可能有助于在不增加胃造瘘置管频率的情况下更快地进行胃造瘘置管,并鼓励更多患者带着 NGT 出院到住院康复设施。
Quality Improvement Initiative Using Predictive Swallowing Score to Guide Nutritional Support for Patients With Post-Stroke Dysphagia.
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.