ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2015
A simple prediction score for developing a hospital-acquired infection after acute ischemic stroke.
Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 44 citations in OpenAlex.
- ICH-LR2S2: a new risk score for predicting stroke-associated pneumonia from spontaneous intracerebral hemorrhage.Journal of translational medicine · 2022Trial
- Predicting High Urinary Tract Infection Rates in Skilled Nursing Facilities: A Machine Learning Approach.Healthcare (Basel, Switzerland) · 2025Article
- Risk Factors and Prognosis Analyses of Hospital-Acquired Pneumonia in Elderly Critically Ill Patients with Acute Ischemic Stroke Based on Machine Learning.Infection and drug resistance · 2025Article
- Machine learning using multimodal and autonomic nervous system parameters predicts clinically apparent stroke-associated pneumonia in a development and testing study.Journal of neurology · 2024Article
- A machine-learning model for prediction of Acinetobacter baumannii hospital acquired infection.PloS one · 2024Article
- The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke.International journal of endocrinology · 2024Article
- Graph convolutional network-based fusion model to predict risk of hospital acquired infections.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Relationship Between Body Temperature and Early Neurological Deterioration after Endovascular Thrombectomy for Acute Ischemic Stroke with Large Vessel Occlusion.Neurocritical care · 2022Article
- Application of machine learning and natural language processing for predicting stroke-associated pneumonia.Frontiers in public health · 2022Article
- Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of theFrontiers in neurology · 2022Article
- Novel Predictors of Stroke-Associated Pneumonia: A Single Center Analysis.Frontiers in neurology · 2022Article
- High Fibrinogen to Albumin Ratio: A Novel Marker for Risk of Stroke-Associated Pneumonia?Frontiers in neurology · 2021Article
- Observational
- AND score: a simple tool for predicting infection in acute ischemic stroke patients without a ventilator in the Chinese population.The Journal of international medical research · 2020Article
- A Comparison of the National Institutes of Health Stroke Scale and the Gugging Swallowing Screen in Predicting Stroke-Associated Pneumonia.Therapeutics and clinical risk management · 2020Article
- Risk Factors for Stroke Associated Pneumonia.Open access Macedonian journal of medical sciences · 2019Article
- Development and internal validation of a prediction rule for post-stroke infection and post-stroke pneumonia in acute stroke patients.European stroke journal · 2018Article
- Prophylactic Antibiotic Therapy for Preventing Poststroke Infection.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2016Review
- Sex-Related Differences in the Risk of Hospital-Acquired Sepsis and Pneumonia Post Acute Ischemic Stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2016Article
- Impact of Infection on Stroke Morbidity and Outcomes.Current neurology and neuroscience reports · 2016Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundHospital-acquired infections (HAIs) are a major cause of morbidity and mortality in acute ischemic stroke patients. Although prior scoring systems have been developed to predict pneumonia in ischemic stroke patients, these scores were not designed to predict other infections. We sought to develop a simple scoring system for any HAI.
methodsPatients admitted to our stroke center (July 2008-June 2012) were retrospectively assessed. Patients were excluded if they had an in-hospital stroke, unknown time from symptom onset, or delay from symptom onset to hospital arrival greater than 48 hours. Infections were diagnosed via clinical, laboratory, and imaging modalities using standard definitions. A scoring system was created to predict infections based on baseline patient characteristics.
resultsOf 568 patients, 84 (14.8%) developed an infection during their stays. Patients who developed infection were older (73 versus 64, P < .0001), more frequently diabetic (43.9% versus 29.1%, P = .0077), and had more severe strokes on admission (National Institutes of Health Stroke Scale [NIHSS] score 12 versus 5, P < .0001). Ranging from 0 to 7, the overall infection score consists of age 70 years or more (1 point), history of diabetes (1 point), and NIHSS score (0-4 conferred 0 points, 5-15 conferred 3 points, >15 conferred 5 points). Patients with an infection score of 4 or more were at 5 times greater odds of developing an infection (odds ratio, 5.67; 95% confidence interval, 3.28-9.81; P < .0001).
conclusionIn our sample, clinical, laboratory, and imaging information available at admission identified patients at risk for infections during their acute hospitalizations. If validated in other populations, this score could assist providers in predicting infections after ischemic stroke.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.