Patients' Perspectives and Feasibility of Home Monitoring in Acute Care: The AcuteCare@Home Flash Mob Study.

To determine patients' perspectives on home monitoring at emergency department (ED) presentation and shortly after admission and compare these with their physicians' perspectives. Forty Dutch hospitals participated in this prospective flash mob study. Adult patients with acute medical conditions, treated by internal medicine specialties, presenting at the ED or admitted at the admission ward within the previous 24 h were included.

Acute internal medicine physicians' clinical intuition based on acute care telephone referral: A prospective study.

Introduction: In the Netherlands, most emergency department (ED) patients are referred by a general practitioner (GP) or a hospital specialist. Early risk stratification during telephone referral could allow the physician to assess the severity of the patients' illness in the prehospital setting. We aim to assess the discriminatory value of the acute internal medicine (AIM) physicians' clinical intuition based on telephone referral of ED patients to predict short-term adverse outcomes, and to investigate on which information their predictions are based.

Development and validation of a risk prediction model for hospital admission in COVID-19 patients presenting to primary care.

Background: There is a paucity of prognostic models for COVID-19 that are usable for in-office patient assessment in general practice (GP).

Objectives: To develop and validate a risk prediction model for hospital admission with readily available predictors.

Methods: A retrospective cohort study linking GP records from 8 COVID-19 centres and 55 general practices in the Netherlands to hospital admission records.

From symptom onset to ED departure: understanding the acute care chain for patients with undifferentiated complaints: a prospective observational study.

Background: For most acute conditions, the phase prior to emergency department (ED) arrival is largely unexplored. However, this prehospital phase has proven an important part of the acute care chain (ACC) for specific time-sensitive conditions, such as stroke and myocardial infarction. For patients with undifferentiated complaints, exploration of the prehospital phase of the ACC may also offer a window of opportunity for improvement of care.

Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department.

Background: Many prediction models have been developed to help identify emergency department (ED) patients at high risk of poor outcome. However, these models often underperform in clinical practice and their actual clinical impact has hardly ever been evaluated. We aim to perform a clinical trial to investigate the clinical impact of a prediction model based on machine learning (ML) technology.

Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter Study.

Background: Risk stratification of patients presenting to the emergency department (ED) is important for appropriate triage. Diagnostic laboratory tests are an essential part of the workup and risk stratification of these patients. Using machine learning, the prognostic power and clinical value of these tests can be amplified greatly.

Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study.

Introduction: Prediction models for identifying emergency department (ED) patients at high risk of poor outcome are often not externally validated. We aimed to perform a head-to-head comparison of the discriminatory performance of several prediction models in a large cohort of ED patients.

Methods: In this retrospective study, we selected prediction models that aim to predict poor outcome and we included adult medical ED patients.

Sex differences in clinical presentation and mortality in emergency department patients with sepsis.

Background: There is growing awareness that sex differences are associated with different patient outcomes in a variety of diseases. Studies investigating the effect of patient sex on sepsis-related mortality remain inconclusive and mainly focus on patients with severe sepsis and septic shock in the intensive care unit. We therefore investigated the association between patient sex and both clinical presentation and 30-day mortality in patients with the whole spectrum of sepsis severity presenting to the emergency department (ED) who were admitted to the hospital.

CT Scan-Derived Muscle, But Not Fat, Area Independently Predicts Mortality in COVID-19.

Background: COVID-19 has demonstrated a highly variable disease course, from asymptomatic to severe illness and eventually death. Clinical parameters, as included in the 4C Mortality Score, can predict mortality accurately in COVID-19. Additionally, CT scan-derived low muscle and high adipose tissue cross-sectional areas (CSAs) have been associated with adverse outcomes in COVID-19.

Novice Doctors in the Emergency Department: A Scoping Review.

In many emergency departments (EDs), young, inexperienced doctors treat patients who are critically ill. At the start of their career, these novice doctors are not sufficiently qualified to take care of these potentially critically ill patients in the highly demanding environment of an ED. This not only poses a threat to the well-being of the doctor, who feels inadequately prepared and experiences a lot of stress, but also to that of the patients, who may not receive optimal care.

The incidence and outcome of AKI in patients with sepsis in the emergency department applying different definitions of AKI and sepsis.

Background: Sepsis is often accompanied with acute kidney injury (AKI). The incidence of AKI in patients visiting the emergency department (ED) with sepsis according to the new SOFA criteria is not exactly known, because the definition of sepsis has changed and many definitions of AKI exist. Given the important consequences of early recognition of AKI in sepsis, our aim was to assess the epidemiology of sepsis-associated AKI using different AKI definitions (RIFLE, AKIN, AKIB, delta check, and KDIGO) for the different sepsis classifications (SIRS, qSOFA, and SOFA).

Frequency of alterations in qSOFA, SIRS, MEWS and NEWS scores during the emergency department stay in infectious patients: a prospective study.

Background: For emergency department (ED) patients with suspected infection, a vital sign-based clinical rule is often calculated shortly after the patient arrives. The clinical rule score (normal or abnormal) provides information about diagnosis and/or prognosis. Since vital signs vary over time, the clinical rule scores can change as well.

Vital signs, clinical rules, and gut feeling: an observational study among patients with fever.

Background: GPs decide which patients with fever need referral to the emergency department (ED). Vital signs, clinical rules, and gut feeling can influence this critical management decision.

Aim: To investigate which vital signs are measured by GPs, and whether referral is associated with vital signs, clinical rules, or gut feeling.

[Clinical course of COVID-19 in the Netherlands: an overview of 2607 patients in hospital during the first wave].

Objective: To systematically collect clinical data from patients with a proven COVID-19 infection in the Netherlands.

Design: Data from 2579 patients with COVID-19 admitted to 10 Dutch centers in the period February to July 2020 are described. The clinical data are based on the WHO COVID case record form (CRF) and supplemented with patient characteristics of which recently an association disease severity has been reported.

Performance of prediction models for short-term outcome in COVID-19 patients in the emergency department: a retrospective study.

Introduction: Coronavirus disease 2019 (COVID-19) has a high burden on the healthcare system. Prediction models may assist in triaging patients. We aimed to assess the value of several prediction models in COVID-19 patients in the emergency department (ED).

Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study.

Objective: Older emergency department (ED) patients are at high risk of mortality, and it is important to predict which patients are at highest risk. Biomarkers such as lactate, high-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), D-dimer and procalcitonin may be able to identify those at risk. We aimed to assess the discriminatory value of these biomarkers for 30-day mortality and other adverse outcomes.

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis.

Introduction: Patients with sepsis who present to an emergency department (ED) have highly variable underlying disease severity, and can be categorized from low to high risk. Development of a risk stratification tool for these patients is important for appropriate triage and early treatment. The aim of this study was to develop machine learning models predicting 31-day mortality in patients presenting to the ED with sepsis and to compare these to internal medicine physicians and clinical risk scores.

The prevalence of pulmonary embolism in patients with COVID-19 and respiratory decline: A three-setting comparison.

Background: The risk of pulmonary embolism (PE) in patients with Coronavirus Disease 2019 (COVID-19) is recognized. The prevalence of PE in patients with respiratory deterioration at the Emergency Department (ED), the regular ward, and the Intensive Care Unit (ICU) are not well-established.

Objectives: We aimed to investigate how often PE was present in individuals with COVID-19 and respiratory deterioration in different settings, and whether or not disease severity as measured by CT-severity score (CTSS) was related to the occurrence of PE.

Lessons learned: Contribution to healthcare by medical students during COVID-19.

An overview of the experiences with deployment of undergraduate medical students in a Dutch university center during the COVID-19 pandemic is provided from organisational and educational perspectives. Medical students' and specialists' experiences during the first peak of COVID-19 underscore the preliminary suggestion that students can be given more enhanced (yet supervised) responsibility for patient care early in their practicums.

How well are sepsis and a sense of urgency documented throughout the acute care chain in the Netherlands? A prospective, observational study.

Objective: To investigate the documentation of sepsis and a sense of urgency throughout the acute care chain.

Design: Prospective cohort study.

Setting: Emergency department (ED) in a large district hospital in Heerlen, The Netherlands.

Concerns of older patients and their caregivers in the emergency department.

Background: Older emergency department (ED) patients often have complex problems and severe illnesses with a high risk of adverse outcomes. It is likely that these older patients are troubled with concerns, which might reflect their preferences and needs concerning medical care. However, data regarding this topic are lacking.