Exhaled VOCs can discriminate subjects with COVID-19 from healthy controls.

COVID-19 detection currently relies on testing by reverse transcription polymerase chain reaction (RT-PCR) or antigen testing. However, SARS-CoV-2 is expected to cause significant metabolic changes in infected subjects due to both metabolic requirements for rapid viral replication and host immune responses. Analysis of volatile organic compounds (VOCs) from human breath can detect these metabolic changes and is therefore an alternative to RT-PCR or antigen assays. To identify VOC biomarkers of COVID-19, exhaled breath samples were collected from two sample groups into Tedlar bags: negative COVID-19 (n= 12) and positive COVID-19 symptomatic (n= 14). Next, VOCs were analyzed by headspace solid phase microextraction coupled to gas chromatography-mass spectrometry. Subjects with COVID-19 displayed a larger number of VOCs as well as overall higher total concentration of VOCs (p< 0.05). Univariate analyses of qualified endogenous VOCs showed approximately 18% of the VOCs were significantly differentially expressed between the two classes (p< 0.05), with most VOCs upregulated. Machine learning multivariate classification algorithms distinguished COVID-19 subjects with over 95% accuracy. The COVID-19 positive subjects could be differentiated into two distinct subgroups by machine learning classification, but these did not correspond with significant differences in number of symptoms. Next, samples were collected from subjects who had previously donated breath bags while experiencing COVID-19, and subsequently recovered (COVID Recovered subjects (n= 11)). Univariate and multivariate results showed >90% accuracy at identifying these new samples as Control (COVID-19 negative), thereby validating the classification model and demonstrating VOCs dysregulated by COVID are restored to baseline levels upon recovery.

Lived Experiences of Hospitalized COVID-19 Patients: A Qualitative Study.

The COVID-19 pandemic has resulted in many hospitalized patients and deaths worldwide. Coronavirus patients were isolated from their relatives and visits were banned to prevent contagion. This has brought about a significant change in deeply rooted care habits in Mediterranean and Latin American countries where the family normally accompanies vulnerable hospitalized patients. The aim of this qualitative study was to examine the hospitalization experience of COVID-19 patients and their family members. A phenomenological qualitative approach was used. Data collection included inductive, in-depth interviews with 11 COVID-19 hospitalized patients. The mean age of patients was 55.4 years and 45% were female. Nearly 50% required Intensive Care Unit (ICU) admission. Ten meaningful statements were identified and grouped in three themes: Positive and negative aspects of the care provided, the patient's perspective, and perception of the experience of the disease. In conclusion, COVID-19 patients, aware of the severity of the pandemic, were very adaptable to the situation and had full confidence in health professionals. Patient isolation was perceived as necessary. Technology has helped to maintain communication between patients and relatives.

Experiences of nursing students as healthcare aid during the COVID-19 pandemic in Spain: A phemonenological research study.

BACKGROUND: The coronavirus disease (COVID-19) pandemic has caused a worldwide health and social crisis directly impacting the healthcare system. Hospitals had to rearrange its structure to meet clinical needs. Spain has been experiencing a shortage of working nurses. Student nurses in their last year at university were employed to help the National Health System respond to the COVID-19 crisis. AIM: The aim of this study was to explore and understand the experience of nursing students' roles as healthcare aid in responding to the COVID-19 crisis. METHODS: A qualitative phenomenology design was used to explore undergraduate nursing students' perceptions of their experiences as HAs during the COVID-19 outbreak. Open face-to-face interviews were conducted to nursing students (n = 10) in May 2020. Data was analyzed using the hermeneutic interpretative approach. RESULTS: All participants were women aged between 21 and 25 years. Seven main themes emerged: learning, ambivalent emotions and adaptation were classified at a personal level; teamwork, patient communication, and unclear care processes were categorized under hospital structure; and coping mechanisms were part of external factors. CONCLUSIONS: Orientation, follow-up, and emotional support in crisis situations are key to unexperienced healthcare workers overcoming stressful emotions. Previous academic education and training may help novice future nurses feel more confident about their tasks and responsibilities as well as improve patient outcomes, resource management, and staff safety.