The factors affecting length of stay in hospital among acute stroke patients

Göz, Evrim; Kahraman, Turhan; Genç, Arzu; Kaya, Özgecan; Öztürk, Vesile; Kutluk, Mustafa Kürşad

doi:10.24165/jns.9472.16

Cited by 2 publications

(4 citation statements)

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“…Many studies have investigated the factors influencing LOS in patients with acute stroke, and they have identified variables including stroke types, stroke severity, stroke-induced disability, the quality of acute stroke care, and even insurance types [ 6 , 7 , 8 ]. Our study focused on the most significant factor—stroke severity—which was evaluated with admission NIHSS scores in most predictive models [ 9 , 10 ].…”

Section: Discussionmentioning

confidence: 99%

“…We noted that do-not-resuscitate orders become generally valued in Taiwan, because life-value issues have gradually been emphasized. In particular, the decision of DNR is not easy in severe AIS [ 6 , 10 ]. Unlike other terminal diseases, it is difficult to predict clinical deterioration and survival for severe AIS because of the lack of consistent or reliable clinical parameters [ 20 , 21 ].…”

Section: Discussionmentioning

confidence: 99%

“…Prolonged LOS is associated with comorbidities or hospital-acquired infection [ 1 ], and it is noted that patients of certain age or with specific diseases are prone to having longer hospital stays [ 2 , 3 , 4 , 5 ]. Among the studies investigating the factors contributing to LOS in patients with acute stroke [ 6 , 7 , 8 ], the most consistent one is stroke severity [ 9 , 10 ]. Severe acute stroke-induced significant disability would result in lengthened hospital stay [ 11 , 12 ], even if high quality acute treatment and professional care in a stroke unit are administered [ 7 , 8 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Determinants of Prolonged Length of Hospital Stay in Patients with Severe Acute Ischemic Stroke

Lin

Yeh

2022

JCM

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Objective: Long hospitalizations are associated with a high comorbidity and considerable hospital cost. Admissions of severe acute ischemic stroke are prone to longer hospitalizations. We aimed to explore the issue and method for improving the length of stay. Methods: From the prospective Stroke Registry between January 2019 and June 2020, acute ischemic strokes with an admission National Institutes of Health Stroke Scale ≥ 15 were identified. Prolonged length-of-stay was defined as in-hospital-stay ≥ 30 days. All clinical characteristics were collected, and all do-not-resuscitate documentations were categorized if the order had been written within 7 days of onset. Results: A total of 212 patients were eligible for severe stroke. Of these, 42 (19.8%) had prolonged length-of-stay and 170 had non-prolonged length-of-stay (median 43 vs. 13 days). The prolonged group was younger, mostly men, and was more likely to be in an independent state and more likely to receive reperfusion therapy, and there was a higher frequency of late do-not-resuscitate orders if signed. Although there was a lower in-hospital mortality rate in the prolonged group (12% vs. 23%), there was a higher proportion with a severe functional state (Modified Rankin Scale = 4–5) among the survivors (97% vs. 87%). Conclusions: Severe acute ischemic stroke patients with a prolonged length-of-stay were younger, mostly male, more likely to receive reperfusion therapy, less likely to have an early do-not-resuscitate order if signed, and more likely to have poor functional status at discharge, although there was a lower rate of in-hospital mortality.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determinants of Prolonged Length of Hospital Stay in Patients with Severe Acute Ischemic Stroke

Lin

Yeh

2022

JCM

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“…The patients are hospitalized and submitted to surgeries depending on the type of the stroke. Therapeutic interventions aim to minimize the length of their hospitalization, since it can be costly both to the patient and their family, as well as to the hospital [10]. Thus, it becomes necessary to predict the length of stay (LOS) for stroke patients.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks

Neto

Brito

Peixoto

et al. 2020

Advances in Intelligent Systems and Computing

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Strokes are neurological events that affect a certain area of the brain. Since brain controls fundamental body activities, brain cell deterioration and dead can lead to serious disabilities and poor life quality. This makes strokes the leading cause of disabilities and mortality worldwide. Patients that suffer strokes are hospitalized in order to be submitted to surgery and receive recovery therapies. Thus, it's important to predict the length of stay for these patients, since it can be costly to them and their family, as well as to the medical institutions. The aim of this study is to make a prediction on the number of days of patients' hospital stays based on information available about the neurological event that happened, the patient's health status and surgery details. A neural network was put to test with three attribute subsets with different sizes. The best result was obtained with the subset with fewer features obtaining a RMSE and a MAE of 5.9451 and 4.6354, respectively.

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The factors affecting length of stay in hospital among acute stroke patients

Cited by 2 publications

References 0 publications

Determinants of Prolonged Length of Hospital Stay in Patients with Severe Acute Ischemic Stroke

Determinants of Prolonged Length of Hospital Stay in Patients with Severe Acute Ischemic Stroke

Prediction of Length of Stay for Stroke Patients Using Artificial Neural Networks

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