Article
Critical Care Medicine
Simone A. Dijkland, Isabel R. A. Retel Helmrich, Daan Nieboer, Mathieu van der Jagt, Diederik W. J. Dippel, David K. Menon, Nino Stocchetti, Andrew I. R. Maas, Hester F. Lingsma, Ewout W. Steyerberg
Summary: The study assessed the performance of IMPACT and CRASH prognostic models in a contemporary European cohort of TBI patients, showing that these models can effectively identify patients at high risk for mortality or unfavorable outcomes.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Critical Care Medicine
Ana Mikolic, Suzanne Polinder, Ewout W. Steyerberg, Isabel R. A. Retel Helmrich, Joseph T. Giacino, Andrew I. R. Maas, Joukje van der Naalt, Daphne C. Voormolen, Nicole von Steinbuechel, Lindsay Wilson, Hester F. Lingsma, David van Klaveren
Summary: Prognostic models for early prediction of outcomes after mild TBI lack both good calibration and discrimination, and future studies should focus on tailoring these models to the specific population with mild TBI.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Clinical Neurology
Jean-Nicolas Tourigny, Valerie Boucher, Veronique Paquet, Emile Fortier, Christian Malo, Eric Mercier, Jean-Marc Chauny, Gregory Clark, Pierre-Gilles Blanchard, Pierre-Hugues Carmichael, Jean-Luc Gariepy, Myreille D'Astous, Marcel Emond
Summary: The study validated the sensitivity and specificity of the updated BIG in predicting the need for interhospital transfer in patients with complicated mild traumatic brain injury. The results showed that patients in the uBIG-1 group could be safely managed at their initial center without the need for transfer.
JOURNAL OF NEUROSURGERY
(2021)
Article
Oncology
Sebastian M. Christ, Kim Borsky, Johannes Kraft, Simon Frei, Jonas Willmann, Maiwand Ahmadsei, Corinna Kirchner, Luisa Sabrina Stark Schneebeli, Federico Camilli, Stephanie Tanadini-Lang, Rifaquat Rahman, Ayal A. Aizer, Matthias Guckenberger, Nicolaus Andratschke, Michael Mayinger
Summary: This study externally validated cBMV and iBMV as prognostic scores for overall survival in patients with brain metastases treated with SRT, while validation of vBMV was not achieved.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Clinical Neurology
Ernest Jan Bobeff, Konrad Stawiski, Patrycja Alicja Stanislawska, Bartlomiej Jozef Posmyk, Karol Wisniewski, Maciej Bryl, Michal Mateusz Piotrowski, Jan Fortuniak, Dariusz Jan Jaskolski
Summary: This study confirms the validity of the eTBI Score and its close association with the outcome of the geriatric population after TBI. The novel 3-tier risk stratification scheme is applicable to both conservatively and surgically treated patients.
WORLD NEUROSURGERY
(2022)
Article
Computer Science, Interdisciplinary Applications
Gustavo P. Carmo, Mateusz Dymek, Mariusz Ptak, Ricardo J. Alves-de-Sousa, Fabio A. O. Fernandes
Summary: Traumatic brain injuries are a major cause of death and disability worldwide. Finite element head models have been developed to understand the forces and interactions in the human head, offering a cost-effective and ethical alternative to experimental tests. The female finite element head model (FeFEHM) can provide insights into injury mechanisms and neurodegenerative diseases.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Clinical Neurology
Chiara Pavese, Giorgio Scivoletto, Mariangela Puci, Martin Schubert, Armin Curt, Enrico Finazzi Agro, Cristina Montomoli, Thomas M. Kessler
Summary: This study aimed to validate prediction models for bowel outcomes after traumatic spinal cord injury (SCI). Through validation with an independent sample, the study demonstrated the validity of a simple model in predicting independent and reliable bowel management 1 year after SCI.
NEUROREHABILITATION AND NEURAL REPAIR
(2021)
Article
Clinical Neurology
Jia Yi Chen, Guang Yong Jin, Long Huang Zeng, Bu Qing Ma, Hui Chen, Nan Yuan Gu, Kai Qiu, Fu Tian, Lu Pan, Wei Hu, Dong Cheng Liang
Summary: This study developed an effective prognostic nomogram for assessing the risk factors for TBI mortality using data from the MIMIC IV database. The nomogram model included eight risk factors and showed good predictive ability for mortality in TBI patients staying in the ICU.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Elena Rossato, Elisabetta Verzini, Michele Scandola, Federico Ferrari, Silvia Bonadiman
Summary: This study evaluated the role of the Level of Cognitive Functioning Scale (LCF) in patients with TBI and found that LCF can provide valuable indications for the prognosis of TBI patients, helping in the development of individual rehabilitation plans.
NEUROLOGICAL SCIENCES
(2021)
Article
Immunology
Ruoran Wang, Yusi Hua, Min He, Jianguo Xu
Summary: Procalcitonin (PCT) serves as an efficient prognostic marker for isolated moderate-to-severe TBI patients, but not for those with extracranial injury. A prognostic model incorporating GCS, glucose, cholesterol, and PCT is valuable for early risk stratification in isolated TBI cases.
JOURNAL OF INFLAMMATION RESEARCH
(2022)
Article
Biotechnology & Applied Microbiology
Jared A. Rifkin, Taotao Wu, Adam C. Rayfield, Erin D. Anderson, Matthew B. Panzer, David F. Meaney
Summary: Research on data from the Human Connectome Project (HCP) reveals similar brain architecture groups in both men and women, with some architectures being more vulnerable to traumatic brain injuries (TBI).
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Medicine, General & Internal
Feng Jiang, Zhicheng Chen, Jiemiao Hu, Qianzhi Liu
Summary: Serum NOX4 levels in the acute phase of sTBI are associated with trauma severity, an increased risk of mortality, and worse outcome, which suggests that it could be an important prognostic factor for sTBI.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2022)
Article
Critical Care Medicine
Abby K. Scurfield, Machelle D. Wilson, Gene Gurkoff, Ryan Martin, Kiarash Shahlaie
Summary: The presence of traumatic intraventricular hemorrhage (tIVH) following traumatic brain injury (TBI) is associated with worse neurological outcome. This study aimed to identify and characterize demographic and clinical variables within a subset of patients with TBI and tIVH that may be implicated in tIVH outcome. The study found that hypotension and hemoglobin level were significant predictors in the Rotterdam model, while only the hemoglobin level was a significant predictor in the GCS model.
NEUROCRITICAL CARE
(2023)
Article
Clinical Neurology
Eppu Manninen, Karthik Chary, Niina Lapinlampi, Pedro Andrade, Tomi Paananen, Alejandra Sierra, Jussi Tohka, Olli Grohn, Asla Pitkanen
Summary: This study aimed to identify MRI biomarkers for post-traumatic epilepsy in Sprague-Dawley rats with traumatic brain injury. The researchers found that a combination of T-2 relaxation time and diffusion tensor data could distinguish rats with and without epilepsy, and even a single time-point measurement could significantly enrich the epilepsy rate within the study population.
Article
Pharmacology & Pharmacy
Maria Daglas, Phan H. Truong, Linh Q. Miles, Sydney M. A. Juan, Shalini S. Rao, Paul A. Adlard
Summary: Iron plays a detrimental role in the injured brain, and the use of an iron chelator like deferiprone may be a promising therapeutic approach to improve survival, functional outcomes, and quality of life in TBI patients.
BRITISH JOURNAL OF PHARMACOLOGY
(2023)
Article
Surgery
W. A. R. Zwaans, J. A. de Bruijn, J. P. Dieleman, E. W. Steyerberg, M. R. M. Scheltinga, R. M. H. Roumen
Summary: The purpose of this study was to examine whether patients tend to overestimate or underestimate their pre-operative pain levels when recalling them in the post-operative phase. The study found that a significant percentage of patients experienced recall bias, leading to misclassification of treatment outcomes.
Article
Oncology
Delal Akdeniz, Iris Kramer, Carolien H. M. van Deurzen, Bernadette A. M. Heemskerk-Gerritsen, Michael Schaapveld, Pieter J. Westenend, Adri C. Voogd, Agnes Jager, Ewout W. Steyerberg, Stefan Sleijfer, Marjanka K. Schmidt, Maartje J. Hooning
Summary: Lobular and lobular mixed primary breast cancer histology are associated with modestly increased risk of contralateral breast cancer (CBC), and personalized risk assessment needs to consider the histology of the primary cancer as well as the impact of systemic therapy.
Article
Dermatology
Vladica M. Velickovic, Tim Spelman, Michael Clark, Sebastian Probst, David G. Armstrong, Ewout Steyerberg
Summary: This review discusses the development of risk prediction tools for chronic wounds and highlights the importance and challenges of regression-based and machine learning methods. Machine learning may be a powerful adjunct for handling complex risk factors in wound healing.
ADVANCES IN WOUND CARE
(2023)
Article
Medicine, General & Internal
David J. McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Nan van Geloven, Maarten van Smeden, Terry Therneau, Ewout W. Steyerberg, STRATOS Initiative
Summary: Risk prediction models need validation to assess their performance. This article focuses on evaluating predictions and improving clinical decision making using survival models based on Cox proportional hazards regression. The authors present a case study on breast cancer patients, where a Cox regression model is developed and validated for prediction of recurrence or death.
ANNALS OF INTERNAL MEDICINE
(2023)
Review
Health Care Sciences & Services
Mohammed T. Hudda, Lucinda Archer, Maarten van Smeden, Karel G. M. Moons, Gary S. Collins, Ewout W. Steyerberg, Charlotte Wahlich, Johannes B. Reitsma, Richard D. Riley, Ben Van Calster, Laure Wynants
Summary: The study aims to assess the improvement in reporting completeness of COVID-19 prediction models after peer review. The findings suggest that the reporting quality of preprints is poor and did not improve significantly after peer review, indicating that peer review had minimal effect on the completeness of reporting during the COVID-19 pandemic.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2023)
Article
Multidisciplinary Sciences
Jesus Villar, Jesus M. Gonzalez-Martin, Jose M. Anon, Carlos Ferrando, Juan A. Soler, Fernando Mosteiro, Juan M. Mora-Ordonez, Alfonso Ambros, Lorena Fernandez, Raquel Montiel, Anxela Vidal, Tomas Munoz, Lina Perez-Mendez, Pedro Rodriguez-Suarez, Cristina Fernandez, Rosa L. L. Fernandez, Tamas Szakmany, Karen E. A. Burns, Ewout W. Steyerberg, Arthur S. Slutsky
Summary: Mortality assessment in clinical studies of acute respiratory distress syndrome (ARDS) has not been well-defined. This study aimed to determine the timing of mortality assessment in ICU patients with moderate-to-severe ARDS, and its predictive value for treatment response. Observational cohorts and a randomized trial were analyzed, and it was found that ICU mortality rates closely approximated 28-day mortality rates. ICU mortality assessment within the first week of a trial could serve as an early predictor of treatment response for moderate-to-severe ARDS patients.
SCIENTIFIC REPORTS
(2023)
Article
Health Care Sciences & Services
Siri L. van der Meijden, Anne A. H. de Hond, Patrick J. Thoral, Ewout W. Steyerberg, Ilse M. J. Kant, Giovanni Cina, M. Sesmu Arbous
Summary: This study aimed to investigate physicians' perspectives and decision-making behavior before implementing an AI-CDS tool for predicting readmission and mortality risk after ICU discharge. The survey results showed that most physicians had positive attitudes towards AI and AI-CDS tools, believing that they could support their work. Physicians expressed a willingness to incorporate a discharge AI-CDS tool into their daily clinical practice and recognized its value in their workflows.
JMIR HUMAN FACTORS
(2023)
Article
Health Care Sciences & Services
Alexandros Rekkas, Peter R. Rijnbeek, David M. Kent, Ewout W. Steyerberg, David van Klaveren
Summary: This study compared easily applicable risk-based methods to find optimal prediction methods for individualized treatment effects. The linear-interaction model showed optimal or close-to-optimal performance in many simulation scenarios. The restricted cubic splines model was optimal for strong non-linear deviations when sample size was larger.
BMC MEDICAL RESEARCH METHODOLOGY
(2023)
Article
Medicine, General & Internal
Ben Van Calster, Ewout W. W. Steyerberg, Laure Wynants, Maarten van Smeden
Summary: Clinical prediction models should be validated before implementation, as the performance of a model may vary across patient populations and measurement procedures. Validation studies should focus on understanding and quantifying heterogeneity and monitoring performance over time, to ensure that prediction models remain up-to-date and safe for clinical decision-making.
Correction
Critical Care Medicine
Emanuele Rezoagli, Matteo Petrosino, Paola Rebora, David Menon, Stefania Mondello, D. James Cooper, Andrew I. R. Maas, Eveline J. A. Wiegers, Stefania Galimberti, Giuseppe Citerio, Cecilia Ackerlund, Krisztina Amrein, Nada Andelic, Lasse Andreassen, Audny Anke, Gerard Audibert, Philippe Azouvi, Maria Luisa Azzolini, Ronald Bartels, Ronny Beer, Bo-Michael Bellander, Habib Benali, Maurizio Berardino, Luigi Beretta, Erta Beqiri, Morten Blaabjerg, Stine Borgen Lund, Camilla Brorsson, Andras M. Buki, Manuel Cabeleira, Alessio Caccioppola, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Guillermo Carbayo Lozano, Marco Carbonara, Ana D. Castano-Leon, Simona Cavallo, Giorgio Chevallard, Arturo Chieregato, Hans Clusmann, Mark Steven Coburn, Jonathan Coles, Jamie Cooper, Marta Correia, Endre Czeiter, Marek Czosnyka, Claire Dahyot-Fizelier, Paul Dark, Veronique Keyser, Vincent Degos, Francesco Della Corte, Hugo Boogert, Bart Depreitere, Dula Dilvesi, Abhishek Dixit, Jens Dreier, Guy-Loup Duliere, Ari Ercole, Erzsebet Ezer, Martin Fabricius, Kelly Foks, Shirin A. Frisvold, Alex Furmanov, Damien Galanaud, Dashiell Gantner, Alexandre Ghuysen, Lelde Giga, Jagos Golubovic, Pedro Gomez, Benjamin J. Gravesteijn, Francesca Grossi, Deepak Gupta, Iain Haitsma, Raimund G. Helbok, Eirik Helseth, Jilske Huijben, Peter Hutchinson, Stefan Jankowski, Faye Johnson, Mladen Karan, Angelos Kolias, Daniel Kondziella, Evgenios Kornaropoulos, Lars-Owe Koskinen, Noemi Kovacs, Ana Kowark, Alfonso Lagares, Steven Laureys, Aurelie Lejeune, Fiona Lecky, Didier Ledoux, Roger Lightfoot, Hester Lingsma, Alex Manara, Hugues Marechal, Costanza Martino, Julia Mattern, Catherine McMahon, Tomas Menovsky, Benoit Misset, Visakh Muraleedharan, Lynnette Murray, Ancuta Negru, David Nelson, Virginia Newcombe, Jozsef Nyiradi, Fabrizio Ortolano, Jean-Francois Payen, Vincent Perlbarg, Paolo P. Persona, Wilco Peul, Anna Piippo-Karjalainen, Horia Ples, Inigo Pomposo, Jussi Posti, Louis Puybasset, Andreea Radoi, Arminas Ragauskas, Rahul Raj, Jonathan Rhodes, Sophie Richter, Saulius Rocka, Cecilie Roe, Olav Roise, Jeffrey Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Juan Sahuquillo, Oliver Sakowitz, Renan Sanchez-Porras, Oddrun Sandrod, Kari Schirmer-Mikalsen, Rico Frederik W. Schou, Charlie Sewalt, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Ewout Steyerberg, Nino Stocchetti, Nina Sundstroem, Riikka Takala, Viktoria Tamas, Tomas Tamosuitis, Olli Tenovuo, Matt Thomas, Dick Tibboel, Christos Tolias, Tony Trapani, Cristina Maria Tudora, Andreas Unterberg, Peter Vajkoczy, Egils A. Valeinis, Shirley Vallance, Zoltan Vamos, Gregory Steen, T. J. M. van Dijck Jeroen, Thomas Essen, Roel Wijk, Alessia Vargiolu, Emmanuel Vega, Anne Vik, Rimantas Vilcinis, Victor Volovici, Peter Vulekovic, Eveline A. Wiegers, Guy Williams, Stefan Winzeck, Stefan Wolf, Alexander Younsi, Frederick Zeiler, Agate Ziverte, Tommaso V. Zoerle, Russel Gruen, Lynette Murray, Dinesh Varma, Christopher MacIsaac, Andrea Jordan
INTENSIVE CARE MEDICINE
(2023)
Article
Medicine, General & Internal
Nicole von Steinbuechel, Stefanie Hahm, Holger Muehlan, Juan Carlos Arango-Lasprilla, Fabian Bockhop, Amra Covic, Silke W. Schmidt, Ewout Steyerberg, Andrew I. R. Maas, David Menon, Nada Andelic, Marina Zeldovich, CTR TBI Participants Investigators
Summary: Traumatic brain injury (TBI) is a major cause of death and disability worldwide. This study aims to understand the impact of TBI on various outcome domains, evaluating factors contributing to worsening or improving outcomes. The study used patient-reported outcome measures and identified different trajectory classes for outcome after TBI, including stable good health, persistent impairments, improving health, and deteriorating health. Individuals with persistent impairments and deterioration need special attention and long-term clinical monitoring and therapy.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek
Summary: This study proposes a standardized scalable framework to extend the assessment of treatment effect heterogeneity to the observational setting. The framework consists of five steps: definition of research aim, identification of relevant databases, development of prediction model, estimation of treatment effect within risk strata, and presentation of results. It allows for the evaluation of differential treatment effects across risk strata.
NPJ DIGITAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Anne A. H. de Hond, Vaibhavi B. B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard
Summary: The generalizability of predictive algorithms is crucial for their application in clinical practice. This article provides an overview of three types of generalizability, namely temporal, geographical, and domain generalizability, based on existing literature. These types of generalizability are associated with their respective goals, methodology, and stakeholders.
NPJ DIGITAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Akerlund, Lindsay D. Wilson, Robert K. Stevens, David W. Menon, Ewout W. Steyerberg, David Nelson, Ari Ercole, CENTER TBI Investigators Participants
Summary: Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the necessary context for individualising treatment. In this study, the integration of heterogenous data from medical records was used to model the individualised impact of clinical course on 6-month functional outcome. The study showed that static variables accounted for the majority of functional outcome explanation after TBI.
NPJ DIGITAL MEDICINE
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Siri Lise van der Meijden, Anna van Boekel, Laurens Schinkelshoek, Harry van Goor, Mark de Boer, Ewout Steyerberg, Bart Geerts, Sesmu Arbous
Summary: Currently, postoperative infections are identified through manual chart review. In this study, a validated automated labeling method based on registrations and treatments was used to develop a high-quality prediction model (AUC 0.81) for postoperative infections.
CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023
(2023)