The Effectiveness of NIV and CPAP Training on the Job in COVID-19 Acute Care Wards: A Nurses' Self-Assessment of Skills.

Background: Noninvasive ventilation (NIV) in COVID-19 patients outside of intensive care unit (ICU) settings was a feasible support during the pandemic outbreak. The aim of this study was to assess the effectiveness of an "on the job" NIV training program provided to 66 nurses working in 3 COVID-19 wards in an Italian university hospital. Methods: A quasi-experimental longitudinal before−after study was designed. The NIV Team education program, provided by expert ICU nurses, included: 3 h sessions of training on the job during work-shifts about the management of helmet-continuous positive airway pressure (CPAP) Venturi systems, and NIV with oronasal and full-face masks. An eleven-item "brief skills self-report tool" was administered before and after the program to explore the perception of NIV education program attendees about their level of skills. Results: In total, 59 nurses responded to the questionnaire. There was an improvement in the skill levels of the management of Helmet-CPAP (median before training 2, inter-quartile range (IQR) 0−6; median after training 8, IQR 3−9; p < 0.0001), and mask-NIV (median before training 2, IQR 0−6; median after training 8, IQR 3−9; p < 0.0001). Conclusions: Training on the job performed by expert ICU nurses can be a valuable and fast means to implement new Helmet-CPAP and mask-NIV skills outside of ICUs.

Association of Continuously Measured Vital Signs With Respiratory Insufficiency in Hospitalized COVID-19 Patients: Retrospective Cohort Study.

BACKGROUND: Continuous monitoring of vital signs has the potential to assist in the recognition of deterioration of patients admitted to the general ward. However, methods to efficiently process and use continuously measured vital sign data remain unclear. OBJECTIVE: The aim of this study was to explore methods to summarize continuously measured vital sign data and evaluate their association with respiratory insufficiency in COVID-19 patients at the general ward. METHODS: In this retrospective cohort study, we included patients admitted to a designated COVID-19 cohort ward equipped with continuous vital sign monitoring. We collected continuously measured data of respiratory rate, heart rate, and oxygen saturation. For each patient, 7 metrics to summarize vital sign data were calculated: mean, slope, variance, occurrence of a threshold breach, number of episodes, total duration, and area above/under a threshold. These summary measures were calculated over timeframes of either 4 or 8 hours, with a pause between the last data point and the endpoint (the "lead") of 4, 2, 1, or 0 hours, and with 3 predefined thresholds per vital sign. The association between each of the summary measures and the occurrence of respiratory insufficiency was calculated using logistic regression analysis. RESULTS: Of the 429 patients that were monitored, 334 were included for analysis. Of these, 66 (19.8%) patients developed respiratory insufficiency. Summarized continuously measured vital sign data in timeframes close to the endpoint showed stronger associations than data measured further in the past (ie, lead 0 vs 1, 2, or 4 hours), and summarized estimates over 4 hours of data had stronger associations than estimates taken over 8 hours of data. The mean was consistently strongly associated with respiratory insufficiency for the three vital signs: in a 4-hour timeframe without a lead, the standardized odds ratio for heart rate, respiratory rate, and oxygen saturation was 2.59 (99% CI 1.74-4.04), 5.05 (99% CI 2.87-10.03), and 3.16 (99% CI 1.78-6.26), respectively. The strength of associations of summary measures varied per vital sign, timeframe, and lead. CONCLUSIONS: The mean of a vital sign showed a relatively strong association with respiratory insufficiency for the majority of vital signs and timeframes. The type of vital sign, length of the timeframe, and length of the lead influenced the strength of associations. Highly associated summary measures and their combinations could be used in a clinical prediction score or algorithm for an automatic alarm system.

A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development.

BACKGROUND: To provide effective care for inpatients with COVID-19, clinical practitioners need systems that monitor patient health and subsequently allow for risk scoring. Existing approaches for risk scoring in patients with COVID-19 focus primarily on intensive care units (ICUs) with specialized medical measurement devices but not on hospital general wards. OBJECTIVE: In this paper, we aim to develop a risk score for inpatients with COVID-19 in general wards based on consumer-grade wearables (smartwatches). METHODS: Patients wore consumer-grade wearables to record physiological measurements, such as the heart rate (HR), heart rate variability (HRV), and respiration frequency (RF). Based on Bayesian survival analysis, we validated the association between these measurements and patient outcomes (ie, discharge or ICU admission). To build our risk score, we generated a low-dimensional representation of the physiological features. Subsequently, a pooled ordinal regression with time-dependent covariates inferred the probability of either hospital discharge or ICU admission. We evaluated the predictive performance of our developed system for risk scoring in a single-center, prospective study based on 40 inpatients with COVID-19 in a general ward of a tertiary referral center in Switzerland. RESULTS: First, Bayesian survival analysis showed that physiological measurements from consumer-grade wearables are significantly associated with patient outcomes (ie, discharge or ICU admission). Second, our risk score achieved a time-dependent area under the receiver operating characteristic curve (AUROC) of 0.73-0.90 based on leave-one-subject-out cross-validation. CONCLUSIONS: Our results demonstrate the effectiveness of consumer-grade wearables for risk scoring in inpatients with COVID-19. Due to their low cost and ease of use, consumer-grade wearables could enable a scalable monitoring system. TRIAL REGISTRATION: Clinicaltrials.gov NCT04357834; https://www.clinicaltrials.gov/ct2/show/NCT04357834.

'From Expert to Novice', Perceptions of General Ward Nurses on Deployment to Outbreak Intensive Care Units during the COVID-19 Pandemic: A Qualitative Descriptive Study.

AIMS AND OBJECTIVES: This study aimed to explore the perceived preparedness and psychosocial well-being of general ward nurses prior to their deployment into the outbreak intensive care units (ICUs) during the COVID-19 pandemic. BACKGROUND: With the surge in COVID-19 cases requiring ICU care, non-ICU nurses maybe deployed into the ICUs. Having experienced through SARS, hospitals in Singapore instituted upskilling programs to secure general ward nurses' competency in providing critical care nursing. However, no studies have explored the perceptions of general ward nurses on deployment into the ICUs during the COVID-19 pandemic. DESIGN: Qualitative descriptive study. METHODS: The study was conducted at Singapore's epicentre of COVID-19 management. Five focus groups were conducted following purposive sampling of 30 general ward nurses identified for outbreak ICU deployment. Focus groups were audio-recorded, transcribed verbatim and data thematically analysed. This study was conducted and reported in accordance with the COREQ checklist. RESULTS: Three salient themes arose, exemplifying the transition from clinical experts in the general wards to practising novices in the outbreak ICUs. Firstly, 'Into the deep end of the pool' described general ward nurses' feelings of anxiety and stress associated with higher exposure risk and expanded responsibilities to nurse critically ill patients. Secondly, 'Preparing for "war"' illustrated deployed nurses' need for clear communication and essential critical care nursing training. Lastly, 'Call of duty' affirmed the nurses' personal and professional commitment to embrace this transition into the ICUs, and their desire for greater psychosocial support. CONCLUSION: The study findings highlight that though general ward nurses perceived their impending ICU deployment positively, they require ongoing support to facilitate a smoother transition. RELEVANCE TO CLINICAL PRACTICE: Findings provided an evidence base to improve the preparedness of general ward nurses deployed into the ICUs during the COVID-19 pandemic within key areas of training, information dissemination and psychosocial resilience.

Evaluation of coagulation status using clot waveform analysis in general ward patients with COVID-19.

Coronavirus disease (COVID-19)-related systemic cytokine response induces the production of procoagulant factors, which predisposes patients to a prothrombotic state. Viscoelastic testing can identify the degree of hypercoagulability, which is related to outcomes. We aimed to study the changes in clot waveform analysis (CWA) parameters in COVID-19 patients on hospital admission compared to those in a group of healthy individuals. We conducted a retrospective study of COVID-19 patients admitted to general wards and evaluated demographic and clinical parameters as well as laboratory parameters, including coagulation parameters. CWA data from patients (n = 62) with COVID-19 prior to the initiation of anticoagulation therapy were compared with those from healthy controls (n = 67). The measured CWA parameters were min1, min2, max2, and delta change. CWA, fibrinogen, and D-dimer values were higher in COVID-19 patients than in healthy controls (p < 0.001). CWA profiles were consistent with hypercoagulability and characterized by an increase in density, velocity, and acceleration of clot formation. Activated partial thromboplastin time, fibrinogen, D-dimer, and C-reactive protein (CRP) values were higher in patients in whom all CWA parameters were raised than in patients with just a few elevated CWA parameters, while Sequential Organ Failure Assessment scores, prothrombin time, fibrin degradation product levels and platelet counts did not differ between the two groups. CWA variables showed hypercoagulopathy on admission in COVID-19 patients who were hospitalized in the general ward, and this pattern was more pronounced in critically ill patients with elevated fibrinogen, D-dimer, and CRP levels. Our results may help identify patients at high risk of thromboembolism.

Clinical Characteristics and Laboratory Abnormalities of Hospitalized and Critically Ill Children with Coronavirus Disease 2019: A Retrospective Study from Saudi Arabia.

BACKGROUND: COVID-19 was reported in several studies characterized by milder clinical course, benign disease, and peculiar epidemiologic patterns among pediatric patients compared to adults' disease. However, other studies indicated that critical cases also exist and are associated with preexisting cardiopulmonary comorbidities and concurrent multisystem inflammatory syndrome in children. METHODS: The study period was six months, May-October 2020. Data on demographics, clinical manifestations, laboratory abnormalities were extracted from the patients' hospital records. During the study period, 644 pediatric patients attended the hospital. They were all screened for SARS-CoV-2 using RT-PCR. Only the confirmed positive patients were included in the subsequent study analysis. They were hospitalized either in the general pediatric wards (GPW) or pediatric intensive care unit (PICU). RESULTS: Out of the total patients screened, 79 (12.3%) children were confirmed to have COVID-19 infection. All the confirmed COVID-19 patients were either admitted to the general pediatric wards (58; 73.4%) or PICU (21; 26.6%). The admission diagnoses for these children were acute gastroenteritis (22.85%), acute pneumonia (19%), clinical sepsis (17.7%), and multisystem inflammatory syndrome in children (10.1%). A significantly higher percentage of the PICU admitted patients showed shortness of breath (SOB) (P= 0.016). Respiratory insufficiencies, prematurity, and congenital heart diseases are the most reported comorbid conditions among the admitted children. The oxygen saturation was significantly lower among PICU patients than those in GPW (P=0.001). The total hospital stays differ significantly between the two groups, which were ten days for the PICU group compared to 4.5 days for the GPW group with a statistical significance noted (P= 0.001). CONCLUSION: Despite the observable variations in the clinical and laboratory findings among the hospitalized pediatric COVID-19 patients, no serious consequences among all patients were observed. The history of SOB and the initial oxygen saturation level were significantly associated with PICU admissions.

A numerical study of ventilation strategies for infection risk mitigation in general inpatient wards.

Aerial dispersion of human exhaled microbial contaminants and subsequent contamination of surfaces is a potential route for infection transmission in hospitals. Most general hospital wards have ventilation systems that drive air and thus contaminants from the patient areas towards the corridors. This study investigates the transport mechanism and deposition patterns of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) within a typical six bedded general inpatient ward cubicle through numerical simulation. It demonstrates that both air change and exhaust airflow rates have significant effects on not only the airflow but also the particle distribution within a mechanically ventilated space. Moreover, the location of an infected patient within the ward cubicle is crucial in determining the extent of infection risk to other ward occupants. Hence, it is recommended to provide exhaust grilles in close proximity to a patient, preferably above each patient's bed. To achieve infection prevention and control, high exhaust airflow rate is also suggested. Regardless of the ventilation design, all patients and any surfaces within a ward cubicle should be regularly and thoroughly cleaned and disinfected to remove microbial contamination. The outcome of this study can serve as a source of reference for hospital management to better ventilation design strategies for mitigating the risk of infection.