Ischemic stroke is defined as neurological deficit caused by brain infarction. The intravenous tissue plasminogen activator, alteplase, is an effective treatment. However, efficacy of this method is time dependent. An important step in improving outcome and increasing the number of patients receiving alteplase is the shortening of waiting times at the hospital, the so-called door-to-needle time (DNT). The comprehensive Helsinki model was proposed in 2012, which enabled the shortening of the DNT to less than 20 min. : The aim of this study was to analyze the transferability of the suggested model to the West Tallinn Central Hospital (WTCH). : Since the first thrombolysis in 2005, all patients are registered in the WTCH thrombolysis registry. Several steps following the Helsinki model have been implemented over the years. : The results demonstrate that the number and also the percent of thrombolysed stroke patients increased during the years, from a few thrombolysis annually, to 260 in 2021. The mean DNT dropped significantly to 33 min after the implementation of several steps, from the emergency medical services (EMS) prenotification with a phone call to the neurologists, to the setting-up of a thrombolysis team based in the stroke unit. Also, the immediate start of treatment using a computed tomography table was introduced. : In conclusion, several implemented steps enabled the shortening of the DNT from 30 to 25.2 min. Short DNTs were achieved and maintained only with EMS prenotification.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503615PMC
http://dx.doi.org/10.3390/medicina58091173DOI Listing

Publication Analysis

Top Keywords

helsinki model
12
model west
8
west tallinn
8
tallinn central
8
central hospital
8
enabled shortening
8
shortening dnt
8
wtch thrombolysis
8
ems prenotification
8
implementation helsinki
4

Similar Publications

Magnetic resonance imaging (MRI) is frequently used to monitor disease progression in multiple sclerosis (MS). This study aims to systematically evaluate the correlation between MRI measures and histopathological changes, including demyelination, axonal loss, and gliosis, in the central nervous system of MS patients. We systematically reviewed post-mortem histological studies evaluating myelin density, axonal loss, and gliosis using quantitative imaging in MS.

View Article and Find Full Text PDF

In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks.

J Imaging Inform Med

January 2025

Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, 200080, China.

The objectives of this study are to construct a deep convolutional neural network (DCNN) model to diagnose and classify meibomian gland dysfunction (MGD) based on the in vivo confocal microscope (IVCM) images and to evaluate the performance of the DCNN model and its auxiliary significance for clinical diagnosis and treatment. We extracted 6643 IVCM images from the three hospitals' IVCM database as the training set for the DCNN model and 1661 IVCM images from the other two hospitals' IVCM database as the test set to examine the performance of the model. Construction of the DCNN model was performed using DenseNet-169.

View Article and Find Full Text PDF

Fear of cancer recurrence in long-term colorectal cancer survivors: a nationwide cross-sectional study.

J Cancer Surviv

January 2025

The Daffodil Centre, The University of Sydney, A Joint Venture With Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.

Purpose: Knowledge about fear of cancer recurrence (FCR) among recurrence-free long-term colorectal cancer survivors (CRCS) is limited. This national cross-sectional study aimed to (1) assess the prevalence and correlates of FCR among CRCS; (2) investigate associations between colorectal cancer-specific symptoms and FCR; and (3) identify predictors of interest in engaging in FCR treatment.

Methods: We identified 9638 living Danish CRCS, age above 18 years, diagnosed between 2014 and 2018 through the Danish Clinical Registries.

View Article and Find Full Text PDF

Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.

View Article and Find Full Text PDF

Background And Aim: Managing obesity requires a comprehensive approach that involves therapeutic lifestyle changes, medications, or metabolic surgery. Many patients seek health information from online sources and artificial intelligence models like ChatGPT, Google Gemini, and Microsoft Copilot before consulting health professionals. This study aims to evaluate the appropriateness of the responses of Google Gemini and Microsoft Copilot to questions on pharmacologic and surgical management of obesity and assess for bias in their responses to either the ADA or AACE guidelines.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!