Isabel R. A. Retel Helmrich
A5066544260- Traumatic Brain Injury and Neurovascular Disturbances
- Traumatic Brain Injury Research
- Trauma and Emergency Care Studies
- Sepsis Diagnosis and Treatment
- Innovation and Socioeconomic Development
- CRISPR and Genetic Engineering
- Meta-analysis and systematic reviews
- Open Source Software Innovations
- Cardiac Arrest and Resuscitation
- Machine Learning in Healthcare
- Clinical Reasoning and Diagnostic Skills
- Emergency and Acute Care Studies
- COVID-19 and healthcare impacts
- S100 Proteins and Annexins
- Metabolomics and Mass Spectrometry Studies
- Health Systems, Economic Evaluations, Quality of Life
- Posttraumatic Stress Disorder Research
Erasmus MC
2018-2025
Karolinska Institutet
2020
Complex metabolic disruption is a crucial aspect of the pathophysiology traumatic brain injury (TBI). Associations between this and systemic metabolism their potential prognostic value are poorly understood. Here, we aimed to describe serum metabolome (including lipidome) associated with acute TBI within 24 h post-injury, its relationship severity patient outcome. We performed comprehensive metabolomics study in cohort 716 patients non-TBI reference (orthopedic, internal medicine, other...
The incidence of Traumatic Brain Injury (TBI) is increasingly common in older adults aged ≥65 years, forming a growing public health problem. However, are underrepresented TBI research. Therefore, we aimed to provide an overview health-care utilization, and six-month outcomes after their determinants who sustained TBI.We used data from the prospective multi-center Collaborative European NeuroTrauma Effectiveness Research (CENTER-TBI) study. In-hospital post-hospital care utilization were...
Abstract Prognostic prediction of traumatic brain injury (TBI) in patients is crucial clinical decision and health care policy making. This study aimed to develop validate models for in-hospital mortality after severe (sTBI). We developed validated logistic regression (LR), LASSO regression, machine learning (ML) algorithms including support vector machines (SVM) XGBoost models. Fifty-four candidate predictors were included. Model performance was expressed terms discrimination (C-statistic)...
The majority of traumatic brain injuries (TBIs) are categorized as mild, according to a baseline Glasgow Coma Scale (GCS) score 13-15. Prognostic models that were developed predict functional outcome and persistent post-concussive symptoms (PPCS) after mild TBI have rarely been externally validated. We aimed validate predicting 3-12-month Outcome Extended (GOSE) or PPCS in adults with TBI. analyzed data from the Collaborative European NeuroTrauma Effectiveness Research Traumatic Brain Injury...
The International Mission on Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Corticoid Randomisation After Significant Head injury (CRASH) prognostic models predict functional outcome after moderate severe traumatic brain (TBI). We aimed to assess their performance a contemporary cohort patients across Europe. Collaborative European NeuroTrauma Effectiveness Research (CENTER-TBI) core study is prospective, observational presenting with TBI an indication for...
Background Following traumatic brain injury (TBI), the clinical focus is often on disability. However, patients’ perceptions of well-being can be discordant with their disability level, referred to as ‘disability paradox’. We aimed examine relationship between and health-related quality life (HRQoL) following TBI, while taking variation in personal, injury-related environment factors into account. Methods used data from Collaborative European NeuroTrauma Effectiveness Research Traumatic...
Given the potentially large ethical and societal implications of human germline gene editing (HGGE) urgent need for public stakeholder engagement (PSE) has been repeatedly expressed. However, explicit goals such PSE efforts often remain poorly defined. In this program report, we outline our Dutch project called De DNA dialogen (The dialogues). We believe that setting in advance is essential to enable meaningful efforts. Moreover, it enables evaluation The following four goals, which result...
Traumatic brain injury (TBI) is a leading cause of impairments affecting Health-Related Quality Life (HRQoL). We aimed to identify predictors and develop prognostic models for HRQoL following TBI.We used data from the Collaborative European NeuroTrauma Effectiveness Research in Brain Injury (CENTER-TBI) Core study, including patients with clinical diagnosis TBI an indication computed tomography presenting within 24 h injury. The primary outcome measures were SF-36v2 physical (PCS) mental...
Given the potential large ethical and societal implications of human germline gene editing (HGGE) urgent need for public stakeholder engagement (PSE) has been repeatedly expressed. In this short communication, we aim to provide directions broad inclusive PSE by emphasizing importance futures literacy, which is a skill imagine diverse multiple use these as lenses look at present anew. By first addressing "what if" questions in PSE, different come into focus limitations that arise when...
Abstract Background Prediction modeling studies often have methodological limitations, which may compromise model performance in new patients and settings. We aimed to examine the relation between quality of development their at external validation. Methods systematically searched for externally validated multivariable prediction models that predict functional outcome following moderate or severe traumatic brain injury. Risk bias applicability was assessed with Of Bias Assessment Tool...
Multivariable prognostic models combine several characteristics to provide predictions for individual patients. Prognostic can be applied in research and clinical practice, instance assist clinicians with decisions regarding treatment choices or informing patients family members on prognosis (1).
Introduction Clinical prediction models (CPMs) for coronavirus disease 2019 (COVID-19) may support clinical decision making, treatment, and communication. However, attitudes about using CPMs COVID-19 making are unknown. Methods Online focus groups interviews were conducted among health care providers, survivors of COVID-19, surrogates (i.e., loved ones/surrogate makers) in the United States Netherlands. Semistructured questions explored experiences facilitators barriers implementing CPMs....
Abstract Background Supporting decisions for patients who present to the emergency department (ED) with COVID-19 requires accurate prognostication. We aimed evaluate prognostic models predicting outcomes in hospitalized COVID-19, different locations and across time. Methods included presented ED suspected were admitted 12 hospitals New York City (NYC) area 4 large Dutch hospitals. used second-wave between September December 2020 (2137 3252 NYC Netherlands, respectively) that developed on...