The effect of artificial saliva on the control of dry mouth: a semi-experimental study on COVID-19 patients under Non-invasive mechanical ventilation.

OBJECTIVES: Since maintaining oral hygiene is essential in nursing care, the present study was conducted to determine the effect of oral care using Mucosamin artificial saliva spray to control dry mouth in ICU patients with COVID-19. MATERIALS AND METHODS: The current semi-experimental research was conducted on eighty patients with COVID-19 selected using the available sampling method. The study tool was a Beck oral assessment scale (BOAS). The case and control groups were selected from two hospitals with relatively similar conditions and treatment procedures. For patients in the intervention group, mucosamin artificial saliva spray was used in addition to the common care, while control group patients received only common care. RESULTS: Eighty patients were randomly assigned to two groups named control and intervention (40 patients in each group). The intervention was very effective in reducing the BOAS score after four days in comparison with the control group (9.23 vs. 12.05, respectively; p-value < 0.001). Based on the adjusted model, the application of artificial saliva reduced the BOAS score, indicating improvement in mouth dryness. While the BOAS score was increased in the control group, it had a declining trend in the intervention one. CONCLUSION: The study's results showed that using artificial saliva spray could effectively reduce the symptoms of dry mouth in patients with COVID-19 treated with non-invasive mechanical ventilation. CLINICAL RELEVANCE: The present study introduced an applicable solution (artificial saliva) to treat mouth dryness in ICU patients under mechanical ventilation.

The Effect of Guided Imagery and Progressive Muscle Relaxation on Sedation in Patients Undergoing Noninvasive Mechanical Ventilation.

Mental imagery and relaxation are noninvasive methods and can easily be used by the patient. Accordingly, this study aimed to detect the effect of guided mental imagery (GI) and progressive muscle relaxation (PMR) on sedation in patients undergoing noninvasive mechanical ventilation (NIV). This clinical trial study was carried out in the Shahid Modarres Hospital in 2022 and encompassed 80 patients with COVID-19 undergoing NIV, who were assigned to two intervention and control groups. The sedation survey scale was used to collect the required data. Before the intervention, the two groups completed the questionnaires, and then the relaxation program was presented during four sessions for the intervention group. This study included 80 patients with a mean age (± SD) of 59.59 ± 9.27 years. The Quade nonparametric ANCOVA revealed the significant impact of intervention on the post values of Total score (p-value < 0.001), Tolerance (p-value < 0.001), Calmness (p-value < 0.001), Ventilator synchrony (p-value < 0.001), face relaxation (p-value < 0.001), Consciousness (p-value = 0.009) and Awakeness (p-value = 0.020). The study findings demonstrated the effectiveness of relaxation program in promoting sedation in patients undergoing NIV. Accordingly, intensive care unit (ICU) nurses at our institution are encouraged to use PMR and GI to sedation of patients under NIV.

Prognostic Value of Physiological Scoring Systems in COVID-19 Patients: A Prospective Observational Study.

The objective of this study was to investigate the accuracy of the Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), Rapid Acute Physiology Score (RAPS), Worthing Physiological Scoring System (WPSS), and Revised Trauma Score (RTS) for predicting the inhospital mortality of COVID-19 patients. This diagnostic accuracy study was conducted in Tehran, Iran, from November 15, 2020, to March 10, 2021. The participants consisted of 246 confirmed cases of COVID-19 patients who were admitted to the emergency department. The patients were followed from the point of admission up until discharge from the hospital. The mortality status of patients (survivor or nonsurvivor) was reported at the discharge time, and the receiver operating characteristic curve analysis of each scoring system for predicting inhospital mortality was estimated. The area under the curve of REMS was significantly higher than other scoring systems and in cutoff value of 6 and greater had a sensitivity and specificity of 89.13% and 55.50%, respectively. Among the five scoring systems employed in this study, REMS had the best accuracy to predict the inhospital mortality rate of COVID-19 patients and RAPS had the lowest accuracy for inhospital mortality. Thus, REMS is a useful tool that can be employed in identifying high-risk COVID-19 patients.

The Effect of E-Learning Program for COVID-19 Patient Care on the Knowledge of Nursing Students: A Quasi-Experimental Study.

Introduction: As COVID-19 is an emerging disease, nursing students have little experience in caring for COVID-19 patients while they will be part of the country's health system and have the closest relationship with the treatment team. Objectives: Therefore, considering the importance and challenges of nursing students' education during the COVID-19 pandemic, the present study aimed to investigate the effect of e-learning programs for COVID-19 patient care on nursing students' knowledge in Tehran, Iran 2021. Methods: The present quasi-experimental study was performed on 100 nursing students selected by a random sampling method. The demographic and knowledge assessment questionnaires were used to collect data before the intervention. Then, the e-learning program was implemented, in which students participated in three sessions for two weeks, the educational content was provided for the students in the form of text, audio, video, and image files, and questions were asked to them. Data were collected immediately after completing the e-learning program and four weeks later. Results: The mean age value was 22 ± 1.25, and 61% of participants were female. The total mean score of knowledge immediately after training (22.95 ± 0.30) and one month after training (22.79 ± 0.30) significantly increased compared to baseline time (17.21 ± 0.48). The main effect of time was significant for the total score of knowledge from baseline to immediately after training (B = 5.79) and one-month follow-up (B = 5.63). Conclusion: The findings of the study showed that the total mean score of the knowledge of students increased significantly in all dimensions after the e-learning program for COVID-19 patient care. Implications for nursing practice: Considering the effectiveness of the e-learning program for COVID-19 patient care in increasing the knowledge of nursing students, it is necessary to provide more training programs focusing on new scientific findings because increasing nurses' and nursing students' knowledge plays a significant role in achieving more skills and promoting community health.

CURB-65, qSOFA, and SIRS Criteria in Predicting In-Hospital Mortality of Critically Ill COVID-19 Patients; a Prognostic Accuracy Study.

Introduction: Outcome prediction of intensive care unit (ICU)-admitted patients is one of the important issues for physicians. This study aimed to compare the accuracy of Quick Sequential Organ Failure Assessment (qSOFA), Confusion, Urea, Respiratory Rate, Blood Pressure and Age Above or Below 65 Years (CURB-65), and Systemic Inflammatory Response Syndrome (SIRS) scores in predicting the in-hospital mortality of COVID-19 patients. Methods: This prognostic accuracy study was performed on 225 ICU-admitted patients with a definitive diagnosis of COVID-19 from July to December 2021 in Tehran, Iran. The patients' clinical characteristics were evaluated at the time of ICU admission, and they were followed up until discharge from ICU. The screening performance characteristics of CURB-65, qSOFA, and SIRS in predicting their mortality was compared. Results: 225 patients with the mean age of 63.27±14.89 years were studied (56.89% male). The in-hospital mortality rate of this series of patients was 39.10%. The area under the curve (AUC) of SIRS, CURB-65, and qSOFA were 0.62 (95% CI: 0.55 - 0.69), 0.66 (95% CI: 0.59 - 0.73), and 0.61(95% CI: 0.54 - 0.67), respectively (p = 0.508). In cut-off ≥1, the estimated sensitivity values of SIRS, CURB-65, and qSOFA were 85.23%, 96.59%, and 78.41%, respectively. The estimated specificity of scores were 34.31%, 6.57%, and 38.69%, respectively. In cut-off ≥2, the sensitivity values of SIRS, CURB-65, and qSOFA were evaluated as 39.77%, 87.50%, and 15.91%, respectively. Meanwhile, the specificity of scores were 72.99%, 34.31%, and 92.70%. Conclusions: It seems that the performance of SIRS, CURB-65, and qSOFA is similar in predicting the ICU mortality of COVID-19 patients. However, the sensitivity of CURB-65 is higher than qSOFA and SIRS.

Glasgow Coma Scale Versus Physiologic Scoring Systems in Predicting the Outcome of ICU admitted Trauma Patients; a Diagnostic Accuracy Study.

Introduction: There is no consensus on the performance of decision rules in predicting the prognosis of trauma patients. Therefore, the present study aimed to compare the value of Glasgow coma scale (GCS) and physiologic scoring systems in predicting mortality and poor outcome of trauma patients. Methods: This diagnostic accuracy study was conducted on multiple trauma patients admitted to the intensive care units of two hospitals in Tehran, Iran, from 21 November 2020 to 22 May 2021. The patients' demographic characteristics, length of stay in the intensive care unit (ICU), the vital signs, and the GCS on admission were recorded. Finally, the mortality, disability, and complete recovery of patients at the time of discharge were evaluated and receiver operating characteristics (ROC) curve analysis was used to compare the performance of physiologic scoring systems with GCS. Results: 200 trauma patients with the mean age of 43.53±19.84 years were evaluated (74% male). The area under the ROC curve for New Trauma Score (NTS), Revised Trauma Score (RTS), Worthing Physiological Scoring System (WPSS), Rapid Acute Physiology Score (RAPS), Rapid Emergency Medicine Score (REMS), Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), Glasgow Coma Scale, Age, and Systolic Blood Pressure score (GAPS) ,Glasgow coma scale (GCS) in prediction of mortality were 0.95, 0.95, 0.83, 0.89, 0.91, 0.84, 0.77, 0.97, and 0.98 respectively. The performance of GCS was statistically superior to RTS (P=0.005), WPSS (P=0.0001), RAPS (P=0.0002), REMS (P=0.002), MEWS (P<0.0001), and NEWS (P<0.0001). However, the performance of GCS, NTS (P=0.146), and GAPS (P=0.513) were not significantly different. Also, in prediction of poor outcomes, the AUC of GCS (0.98) was significantly higher than RTS (0.95), RAPS (0.85), REMS (0.85), MEWS (0.84), NEWS (0.77), and WPSS (0.75). Conclusion: The GCS score seems to be a better instrument to predict mortality and poor outcome in trauma patients compared to other tools due to its high accuracy, wide application, and easy calculation.