Ellen G. M. Smit

Evaluation of the MyFertiCoach Lifestyle App for Subfertile Couples: Single-Center Evaluation of Augmented Standard Care

Jesper M J Smeenk, Ellen G. M. Smit, Marc Jacobs, Ilse van Rooij

BACKGROUND: Many couples undergoing fertility treatment face multiple lifestyle risk factors that lower their chances of achieving pregnancy. The MyFertiCoach (MFC) app was designed as an integrated lifestyle program featuring modules on healthy weight management, nutrition, exercise, quitting smoking, reducing alcohol and …

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Evaluation of the MyFertiCoach Lifestyle App for Subfertile Couples: Single-Center Evaluation of Augmented Standard Care (Preprint)

Jesper M J Smeenk, Ellen G. M. Smit, Marc Jacobs, Ilse van Rooij

BACKGROUND Many couples undergoing fertility treatment face multiple lifestyle risk factors that lower their chances of achieving pregnancy. The MyFertiCoach (MFC) app was designed as an integrated lifestyle program featuring modules on healthy weight management, nutrition, exercise, quitting smoking, reducing alcohol and …

nl (code pays fourni par la source)

The PCQ-Infertility Revised: A New Digital Instrument to Measure Treatment Satisfaction of Fertility Patients

Lotte van der Kolk, Ellen G. M. Smit, Josée M. M. Bloemer, Lise M. van Wijk

Background: One of the key dimensions of healthcare quality is patient-centeredness, which represents how well healthcare is geared towards patients' needs and wishes. Many questionnaires that measure the patient-centeredness are long and complicated, eliciting non-response or careless responding. Moreover, responses to some …

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Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records

Iacopo Vagliano, Martijn J. Schut, Ameen Abu–Hanna, Dave Anton Dongelmans et autres

PURPOSE: To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU) over two different waves of infections. Our models were built with high-granular Electronic Health Records (EHR) data versus …

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INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDY

Jasper Martijn Smit, Lotte Exterkate, Arne J. van Tienhoven, Mark Evert Haaksma et autres

ABSTRACT: Background: Aims of this study were to investigate the prevalence and incidence of catheter-related infection, identify risk factors, and determine the relation of catheter-related infection with mortality in critically ill COVID-19 patients. Methods: This was a retrospective cohort study of central …

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Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis

Sander Siepel, Tariq A. Dam, Lucas M. Fleuren, Diederik A M P J Gommers et autres

Abstract Background: Identification of distinct clinical phenotypes in critically ill COVID-19 patients could improve understanding of the disease heterogeneity and enable prognostic and predictive enrichment facilitating more personalized treatment. However, previous attempts did not take into account temporal dynamics of the disease. …

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Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study

Jim M Smit, Jesse H. Krijthe, Henrik Endeman, Andrei N. Tintu et autres

Background: The COVID-19 pandemic continues to overwhelm intensive care units (ICUs) worldwide, and improved prediction of mortality among COVID-19 patients could assist decision making in the ICU setting. In this work, we report on the development and validation of a dynamic mortality …

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Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

Tariq A. Dam, Luca F. Roggeveen, Fuda van Diggelen, Lucas M. Fleuren et autres

For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefore, identifying which critically ill intubated COVID-19 patients will benefit may help allocate labor …

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Predictors for extubation failure in COVID-19 patients using a machine learning approach

Lucas M. Fleuren, Tariq A. Dam, Michele Tonutti, Daan P. de Bruin et autres

INTRODUCTION: Determining the optimal timing for extubation can be challenging in the intensive care. In this study, we aim to identify predictors for extubation failure in critically ill patients with COVID-19. METHODS: We used highly granular data from 3464 adult critically ill …

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Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality

Drago Plečko, Nicolas Bennett, Johan Mårtensson, Tariq A. Dam et autres

BACKGROUND: The prediction of in-hospital mortality for ICU patients with COVID-19 is fundamental to treatment and resource allocation. The main purpose was to develop an easily implemented score for such prediction. METHODS: This was an observational, multicenter, development, and validation study on …

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Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome

Tariq A. Dam, Harm‐Jan de Grooth, Thomas L. T. Klausch, Lucas M. Fleuren et autres

OBJECTIVES: As coronavirus disease 2019 is a novel disease, treatment strategies continue to be debated. This provides the intensive care community with a unique opportunity as the population of coronavirus disease 2019 patients requiring invasive mechanical ventilation is relatively homogeneous compared with …

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A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients

Adam Izdebski, Patrick J. Thoral, Robbert C. A. Lalisang, Dean McHugh et autres

Despite the recent progress in the field of causal inference, to date there is no agreed upon methodology to glean treatment effect estimation from observational data. The consequence on clinical practice is that, when lacking results from a randomized trial, medical personnel …