The importance of respiratory rate monitoring: From healthcare to sport and exercise

A Nicolò, C Massaroni, E Schena, M Sacchetti - Sensors, 2020 - mdpi.com
Respiratory rate is a fundamental vital sign that is sensitive to different pathological
conditions (eg, adverse cardiac events, pneumonia, and clinical deterioration) and stressors …

In-hospital cardiac arrest: a review

LW Andersen, MJ Holmberg, KM Berg, MW Donnino… - Jama, 2019 - jamanetwork.com
Importance In-hospital cardiac arrest is common and associated with a high mortality rate.
Despite this, in-hospital cardiac arrest has received little attention compared with other high …

Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology

S Gerry, T Bonnici, J Birks, S Kirtley, PS Virdee… - bmj, 2020 - bmj.com
Objective To provide an overview and critical appraisal of early warning scores for adult
hospital patients. Design Systematic review. Data sources Medline, CINAHL, PsycInfo, and …

Quick sepsis-related organ failure assessment, systemic inflammatory response syndrome, and early warning scores for detecting clinical deterioration in infected …

MM Churpek, A Snyder, X Han, S Sokol… - American journal of …, 2017 - atsjournals.org
Rationale: The 2016 definitions of sepsis included the quick Sepsis-related Organ Failure
Assessment (qSOFA) score to identify high-risk patients outside the intensive care unit (ICU) …

[HTML][HTML] Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial

H Burdick, C Lam, S Mataraso, A Siefkas… - Computers in biology …, 2020 - Elsevier
Background Currently, physicians are limited in their ability to provide an accurate prognosis
for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying …

Machine learning for clinical outcome prediction

F Shamout, T Zhu, DA Clifton - IEEE reviews in Biomedical …, 2020 - ieeexplore.ieee.org
Clinical decision-making in healthcare is already being influenced by predictions or
recommendations made by data-driven machines. Numerous machine learning applications …

Comparison of early warning scoring systems for hospitalized patients with and without infection at risk for in-hospital mortality and transfer to the intensive care unit

VX Liu, Y Lu, KA Carey, ER Gilbert, M Afshar… - JAMA network …, 2020 - jamanetwork.com
Importance Risk scores used in early warning systems exist for general inpatients and
patients with suspected infection outside the intensive care unit (ICU), but their relative …

[HTML][HTML] Effect of continuous wireless vital sign monitoring on unplanned ICU admissions and rapid response team calls: a before-and-after study

Y Eddahchouri, RV Peelen, M Koeneman… - British Journal of …, 2022 - Elsevier
Background Continuous vital sign monitoring may potentially be improved through the use
of wearable monitors linked wirelessly to hospital electronic patient records. By improving …

[HTML][HTML] Continuous monitoring of vital signs using wearable devices on the general ward: pilot study

M Weenk, H van Goor, B Frietman… - JMIR mHealth and …, 2017 - mhealth.jmir.org
Background: Measurement of vital signs in hospitalized patients is necessary to assess the
clinical situation of the patient. Early warning scores (EWS), such as the modified early …

[HTML][HTML] A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A …

MAF Pimentel, OC Redfern, S Gerry, GS Collins… - Resuscitation, 2019 - Elsevier
Aims To compare the ability of the National Early Warning Score (NEWS) and the National
Early Warning Score 2 (NEWS2) to identify patients at risk of in-hospital mortality and other …