Smart Watch to Avoid Face Touching During Pandemic Condition

The most dangerous Coronavirus, COVID-19, is the source of this pandemic illness. This illness was initially identified in Wuhan, China, in December 2019, and currently sweeping the globe. The virus spreads quickly because it is so simple to transmit from one person to another. Fever is one of the obvious signs of COVID-19 and is one of its prevalent symptoms. The mucosal areas, such as the nose, eyes, and mouth, are among the most significant ways to catch this virus. In order to prevent and track the corona virus infection, this research suggests a face-touching detection and self-health report monitoring system. Their hygiene will immediately improve thanks to this system. In this pandemic circumstance, people use their hands in dirty environments like buses, trains, and other surfaces, where the virus can remain active for a very long time. With an accelerometer and a pulse oximeter sensor, this system alerts the user when they are carrying their hands close to their faces. © 2023 IEEE.

Cost Evaluation of COVID-19 Remote Home Monitoring Services' Patients in England during Wave 2 from October 2020-April 2021

Objectives: During the COVID-19 pandemic, the NHS delivered a community-based remote home monitoring service for COVID-19 patients. The service came in two models characterised based on the referral method: home-based care to ensure the right people were admitted at hospital at the right time (named COVID Oximetry @ home (CO@h)) and facilitation of patients' transition when discharged home (named Covid-19 Virtual Ward (CVW)). Patients were provided with pulse oximeters and asked to regularly record and submit oxygen levels and other symptoms to a team of administrators and clinicians via digital means (tech-enable and analogue mode) and/or over the phone (analogue). Our aim was to evaluate the costs of implementing these services in England during wave 2 of the pandemic (October 2020-April 2021). Method(s): We used a top-down approach to describe the costs of setting-up and running the service. 26 sites reported the number of patients and staff members involved in the service, and other used resources. Descriptive statistics and multivariate regression analysis were used appropriately. Result(s): The mean cost per patient monitored was lower in the CO@h service compared to the CVW (527.5 vs. 599.1). The corresponding cost was lower for sites using tech-enabled and analogue data submission mode compared to sites using analogue-only mode for both CO@h (515 vs. 561) and CVW (584 vs. 612) services. The number of patients enrolled in the service and the service type significantly affected the mean cost per patient (b=0.62, p= 0.001;b=-457.99, p=0.05 correspondingly). Conclusion(s): Our analysis offers a model for future research since it covers sites of various sizes and raises questions about different practices within the overall remote monitoring services.Copyright © 2023

Pulse oximetry and decision making

Introduction: The disease caused by COVID-19 constitutes a global health problem. The early identification of clinical manifestations and respiratory compromise is vital to minimize the complications of the disease;in this sense, the use of the pulse oximeter constitutes an interesting alternative. Objective: To describe the advantages provided by the use of the pulse oximeter in the decision-making of patients to go in a timely manner to request medical attention. Methodology: Basic research, descriptive and retrospective design. Universe made up of 348 patients diagnosed with COVID-19 and the sample of 184 cases. The frequency of complications and the influence of the use of pulse oximeter in decision making were determined. Non-parametric Odd Ratio and Fisher's exact tests were used to identify the range of occurrence. Results: average age of 54.47 years with a predominance of female patients (60.33%) and with associated comorbidities (66.85%). 25.00% of the patients presented respiratory involvement as a complication of OVID-19. 47.83% of the patients with complications used a pulse oximeter, although only 27.27% attended the consultation early, but in 90.91% the decision to attend the emergency service was influenced by the use of the oximeter point and its results. Conclusions: Pulse oximetry helped patients make the decision to seek medical attention. Oxygen saturation monitoring can be considered as a positive action around the clinical suspicion of severe respiratory disease.

Functional Impact of Telehealth Physical Therapy Services on Patients Post Hematopoietic Stem Cell Transplant

BACKGROUND AND PURPOSE: Stem cell transplantation (SCT) in patients with hematological cancers results in longstanding physical changes. Commonly reported symptoms include chronic fatigue, global weakness, interference with activities of daily living (ADLs) and aerobic deconditioning. Aside from the sequela of symptoms experienced post SCT, these patients remain in an immunosuppressed state for several months following discharge from the hospital. Patients are often advised by their medical team to isolate themselves unless to attend follow-up outpatient clinic appointments. With the COVID-19 pandemic, this functional gap in the continuum of care worsened. As a result, SCT patients are both hesitant and discouraged to pursue outpatient or home health physical therapy even when these services are warranted. Thus, there is great need for options to safely optimize function for people post-SCT that are suitable in today's ever-changing environment. The purpose of this case series is to describe the functional impact of incorporating telehealth into the continuum of care for post SCT patients. CASE DESCRIPTION: 9 patients post inpatient admission for SCT were triaged to telehealth PT based on their scores on the Short Physical Performance Battery (SPPB) and the Activity Measure for Post Acute Care (AM-PAC) at the time of discharge from inpatient care. Scores on the SPPB ranged from 5-11, and AMPAC scores ranged from 21-24, demonstrating physical impairment. Patients were scheduled to receive telehealth twice a week. Sessions consisted of therapeutic exercises monitored via secure video software. Lab values were monitored via electronic medical record to assess appropriateness for therapy prior to each session. Rating of perceived exertion (RPE) scale and patientowned pulse oximeter were used to monitor patient fatigue levels. Patients' progress was assessed via Lower Extremity Functional Scale (LEFS), Brief Fatigue Inventory (BFI) and 5-times sit to stand (5xSTS) scores. OUTCOME(S): One year post telehealth implementation, patients reported improved independence and achievement of selfselected goals. Notable patient quotes include, "I feel less fearful in climbing up and down the stairs, and I feel more independent with laundry and cooking.which was very important for me." Additionally, patients reported a decrease in LEFS and BFI scores. Initial LEFS scores averaged 40% and dropped to 20% by discharge. Similarly, BFI scores dropped by 2 points at discharge, reflecting improved self-reported functional performance and a return to pre transplant fatigue levels. 5xSTS scores decreased by greater than 3 seconds in 6 of 9 patients, with one patient performing where previously unable. DISCUSSION: Telehealth services provide an additional method of care delivery to those unable to seek it in the traditional sense. For the severely immunocompromised, physical therapy via telehealth provides direct connection to providers trained in oncology rehabilitation serving as a feasible bridge between inpatient and outpatient care for amelioration of side effects associated with SCT.

IOT based Temperature and Oxygen level monitoring and Data visualization

The Covid-19 pandemic that hit us in 2020 changed our lifestyle in every way. There was tremendous damage to people's lives. It is now predicted that other variants of Coronavirus are affecting people's health throughout the world. We must remain vigilant against upcoming dangers. The Indian health ministry has also advised people to take the necessary precautions. In this paper, we will focus on automating temperature and oxygen monitoring using the Internet of Things. According to our proposed model, data generated by the temperature sensor (MLX90614) and oxygen saturation sensor (MAX30102) will be stored in a relational database. Using this data, future data analyses can be conducted. We are also going to visualize the data by building an interactive dashboard using Power BI. Overall, health monitoring will become much more convenient and speedier. © 2023 IEEE.

One-minute-sit-to-stand-test elicits less desaturation than 6MWT in advanced respiratory disease

Introduction: During the COVID-19 pandemic pulmonary rehabilitation moved to a telehealth platform and the 1-min sit-to-stand test (1minSTS) was often used instead of the 6-min walk test (6MWT) to evaluate functional exercise capacity. We sought to determine;(i) the extent to which the six-minute walk distance (6MWD) could be estimated from the number of repetitions achieved during the 1minSTS and, (ii) agreement in cardiorespiratory responses elicited collected during the tests. Method(s): Data were extracted from medical records on all people who attended the advanced lung disease service at Fiona Stanley Hospital between September 2021 and January 2022. Pulse rate and oxygen saturation (SpO 2) were measured continuously during both tests using a pulse oximeter. Symptoms were quantified using the Borg scale (0 to 10). Result(s): Data were available on 80 participants (43 males;age 64 +/- 10 years;FEV 1 1.65 +/- 0.77 L). Compared with the 6MWT, the 1minSTS resulted in a higher nadir (mean difference [MD] 4%, 95% CI 3 to 5), higher peak pulse rate (MD 8 bpm, 95% CI 5 to 11), similar intensity of dyspnoea (MD -0.3, 95% CI -0.6 to 0.1) and greater leg fatigue (MD 1.1, 95% CI 0.6 to 1.6). Of those who demonstrated severe desaturation (SpO 2 nadir <85%) on the 6MWT (n = 18), 5 and 10 were classified as moderate (SpO 2 nadir 85% to 89%) or mild desaturators (SpO 2 nadir >= 90%), respectively on the 1minSTS. The equation that represented the relationship between 6MWD and 1minSTS was: 6MWD (m) = 247 + (7 x number of transitions achieved during the 1minSTS;r 2 = 0.44). Conclusion(s): The 6MWT elicited greater desaturation, a lower peak pulse rate and greater leg fatigue than the 1minSTS. A smaller proportion of people will be classified as 'severe desaturators' using the 1minSTS test. The capacity to estimate the 6MWD using results of the 1minSTS is limited.

Comparison between in-person and remote assessment of four field tests for people with chronic lung diseases

Introduction: COVID-19 pandemic has driven an abrupt shift from centre-based pulmonary rehabilitation to home-based or telerehabilitation models in order to safely deliver this important treatment. However, functional capacity assessment is still carried out with in-person supervision. Aim(s): To compare remote and in-person assessment of four field tests for patients with chronic lung diseases. Method(s): People with chronic respiratory diseases underwent timed up and go test (TUG), 5-repetitions sit-to-stand test (5-repStS), 1-minute STS (1-minStS), and modified incremental step test (MIST). Tests were carried out at participants' home with in-person or remote (Skype or WhatsApp) assessment, in random order. During the remote assessment, the physiotherapist was at the pulmonary rehabilitation centre. The order of the tests was also randomized and was the same for in-person and remote supervision. Each test was performed twice and the test with best performance was used for comparison between remote and in-person supervision. A kit containing a finger pulse oximeter, tape measure, and a step was provided. Pair t -test expressed as mean difference (95% CI), intraclass correlation coefficient (ICC 2:1), and Bland-Altman method were used for analysis. Result(s): Forty-four participants (23 COPD, 18 bronchiectasis, three cystic fibrosis, FEV 1 47 +/- 19%, 56 +/- 15 years old) were assessed. There was no difference between in-person and remote supervision for all tests (TUG 0.04(-0.2-0.2) s, 5-repStS: 0.3(-0.1-0.7) s, 1-minStS: -0.9 (-1.9-0.1) repetitions, and MIST: -3.1 (-9.9-3.7) steps). High reproducibility was observed by ICC (95% CI) (TUG: 0.94 (0.89-0.97), 5-repStS: 0.96 (0.92-0.98), 1-minStS: 0.87 (0.77-0.93), and MIST: 0.94 (0.88-0.96). Limits of agreement were narrow for TUG (-0.8-1.7), 5-repStS (-2.3-2.9), and 1-minStS (-7.4-5.5), but wide for MIST (-46-40). Conclusion(s): Remote assessment provides similar results to in-person assessment for four field tests commonly used in people with chronic lung diseases.

Impact of providing at-home medical device kits on remote monitoring of individuals with cystic fibrosis

Background: Cystic fibrosis (CF) is a chronic, multi-system disease that can greatly affect quality of life, so it is important for people with CF to be closely evaluated. Routine care includes measurement of basic vital signs, which allows providers to assess respiratory, cardiovascular, and nutritional status, all of which are aspects people with CF at high risk of decompensation because of the disease's pathophysiology [1]. Providing patients with home devices can improve access to vital sign monitoring, which in turn can expand the scope of telehealth and bring attention to daily changes in a patient's overall health [2]. We predict that providing patients with medical devices to monitor vitals will benefit their overall health and wellbeing. Method(s): Medical device kits were offered to patients coming for their routine in-person visits at VCU Health Mayland Medical Center. Each kit contained a tape measure, pulse oximeter, thermometer, blood pressure apparatus, and weight scale. Before receiving the kit, patients who agreed to participate in the study filled out a pre-distribution survey that was modeled after the Centers for Disease Control and Prevention Health- Related Quality of Life-14. If patients did not know how to use a device, health care staff instructed them on its use. Twoweeks after they received the kit, patients were emailed a post-distribution survey that assessed the usefulness of each medical device. Result(s): Seventeen of 18 patients (94.4%) agreed to participate in the study. From the pre-distribution survey, 11.8% of patients frequently monitored their vitals;94.1% of those believed that using the devices would help improve the maintenance of their health, and 82.3% were aware of normal values for blood pressure, pulse, oxygen level, and body temperature and how to measure height and weight. All six of the 17 (35.3%) patients who responded to the post-distribution survey stated that the devices had worked as intended and that they did not find the devices too time consuming. Of the five devices that patients received, most patients found the pulse oximeter and blood pressure apparatus to be useful (100%), followed by the weight machine (75%), thermometer (50%), and tape measure (0%). Conclusion(s): Although most patients agreed that monitoring their vital signs at home would help maintain or enhance their health (94.1%), before this study, only two (11.8%) indicated that they regularly self-measured their vital signs. Overall, patients received being provided home devices was overall positively, with the pulse oximeter and blood pressure apparatus being the most popular. Reasons included ease of access and ability to self-triage and determine the urgency of seeing a health care provider if feeling unwell. The results of this study highlight not only patient desires to be more involved with their health, but also the importance of continuing to find ways to optimize remote monitoring during this COVID era.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

PACMAN: A Framework for Pulse Oximeter Digit Detection and Reading in A Low-Resource Setting

In light of the COVID-19 pandemic, patients were required to manually input their daily oxygen saturation (SpO2) and pulse rate (PR) values into a health monitoring system—unfortunately, such a process trend to be an error in typing. Several studies attempted to detect the physiological value from the captured image using optical character recognition (OCR). However, the technology has limited availability with high cost. Thus, this study aimed to propose a novel framework called PACMAN (Pandemic Accelerated Human-Machine Collaboration) with a low-resource deep learning-based computer vision. We compared state-of-the-art object detection algorithms (scaled YOLOv4, YOLOv5, and YOLOR), including the commercial OCR tools for digit recognition on the captured images from the pulse oximeter display. All images were derived from crowdsourced data collection with varying quality and alignment. YOLOv5 was the best-performing model against the given model comparison across all datasets, notably the correctly orientated image dataset. We further improved the model performance with the digits auto-orientation algorithm and applied a clustering algorithm to extract SpO2 and PR values. The accuracy performance of YOLOv5 with the implementations was approximately 81.0-89.5%, which was enhanced compared to without any additional implementation. Accordingly, this study highlighted the completion of the PACMAN framework to detect and read digits in real-world datasets. The proposed framework has been currently integrated into the patient monitoring system utilized by hospitals nationwide. IEEE

Pulmonary function and functional capacity at 3, 6 and 12 months in COVID-19 patients and effect of physical activity on recovery

BACKGROUND: Long-term sequelae due to Coronavirus disease 2019 (COVID-19) are now under investigation. Aim of this study was to evaluate the one-year clinical impact of COVID-19 on respiratory function and relation with physical activity. METHOD(S): One hundred four patients were evaluated 3, 6 and 12 months after SARS-CoV-2 diagnosis. Clinical conditions, symptomatology, 6-minute walking test (6MWT), pulmonary function test with spirometry and diffusing capacity of carbon monoxide (DLCO) were analyzed. RESULT(S): Eighty-six (82.7%) patients referred at least one symptom at 3 months, 46 (44.2%) at 6 months and 24 (23.1%) at 12 months. At the 3-months visit, patients with moderate COVID showed a slight decrease of distance at the 6MWT, with an improvement at 12 months (P=0.04). Patients with severe COVID-19 showed a recovery of SpO2 at rest (P<0.001), DLCO (P=0.001), DLCO/VA (P=0.002), forced vital capacity (P=0.01) and 6MWT distance (P=0.002) at 6 and 12 months. Patients with critical COVID-19 showed a remarkable reduction of DLCO at 3 months (65+/-21%). Then a subsequent gradual improvement of DLCO was recorded (78+/-18% at 6 months, 85+/-16% at 12 months, P=0.01). Patients with DLCO<80% of predicted at 12 months were older (P=0.02), with higher prevalence of cardio-vascular disease (P=0.006), diabetes (P=0.01) and critical COVID-19 (P=0.003). The improvement of 6MWT distance and DLCO during the three visits did not correlate with physical activity. CONCLUSION(S): Patients with COVID-19 lung involvement showed a progressive improvement in respiratory function and physical performance at 6 and 12 months after acute disease.Copyright © 2022 EDIZIONI MINERVA MEDICA.

Diagnostic value of blood oxygen saturation and C-Reactive Protein (CRP) in Predicting Lung Sequels in COVID-19 infected patients admitted to hospital: A 12-week cohort study

Background: Evidence of COVID-19 respiratory sequels is restricted and predisposing factors are not well studied more than two years passing pandemic. This study followed COVID-19 patients 12 weeks after discharge from hospital for respiratory sequels. Material(s) and Method(s): This was a prospective study on discharged COVID-19 patients in 2021, in Jahrom, Iran. Exposure was COVID-19 clinical features at hospitalization, including symptoms and physical examination and laboratory findings, and primary endpoint was 12-week lung sequel, being evaluated by a chest CT scan. Demographics and previous medical history were considered covariates. SPO2and CRP 6-week changes were followed as an early tool for prediction of 12-week lung sequel. Result(s): Totally, 383 participants (17 had sequels) with mean age of 57.43 18.03 years old (50.13% male) completed 12-week study follow-ups. Ninety-one (23.8%) subjects had an ICU admission history. SPO2% in 6th week was statistically significantly associated with a higher rate of 12-week sequelae (p<0.001). Also, patients having CT scan scores between 40% to 50% (p=0.012) and higher than 50% (p=0.040) had higher chance of experiencing lung sequelae than patients with CT scan score of below 40%, as well as having ICU admission history and lower SPO2% at 6th week of discharge. There was a statistically significant increasing trend of SPO2% (P<0.001) and a statistically significant decreasing trend of CRP levels (P<0.001), overall. SPO2% increase after 6 weeks was lower in participants with lung sequels than fully improved ones (P=0.002) and as well as total 12-week change in SPO2% (P=0.001). CRP changes in none of evaluated periods were different among study groups (P>0.05). Conclusion(s): Our results were in favor of closely following SPO2levels after patient discharge, while CRP assessment seems not helpful based on our results [GMJ.2023;12:e2695].Copyright © 2023 Shiraz University of Medical Sciences. All rights reserved.

COVID-19 Patient Health Monitoring System

The system proposed can be used to regular checkup of the COVID patients while maintaining the social distancing. Also, the data sensed by the sensors is directly sent to doctor, reducing the cost of paying regular visits to doctor. The Iot platform used in the system helps to transfer the real time patient's data remotely to host device. Daily health record can be maintained and can be viewed easily on graphs charts ease for doctors to see any abrupt changes in oxygen level or rise in temperature. To track the patient health micro-controller is in turn interfaced to an LCD display and wi-fi connection to send the data to the web-server (wireless sensing node). In case of any abrupt changes in patient heart-rate or body temperature alert is sent about the patient using IoT. This system also shows patients temperature and heartbeat tracked live data with timestamps over the Internetwork.

Body Temperature and Oxygen Level Detection System

A device comprising an oximeter and a module for detecting body temperature has been designed so that a person can readily check his or her health in crucial situations. This was accomplished by programming Arduino to output values measured by sensors such as the MAX30102 (Particle Sensor) and GY-906-BCC (Infrared Sensor). We've all been dealing with a global pandemic for the past year. As a result, there have been numerous coronavirus discoveries. The COVID-19 virus primarily affects an individual's respiratory system, lowering the patient's oxygen levels, and it causes a rise in body temperature. This approach can be quite valuable in such situations and can aid in the regular monitoring of an individual's health. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Initial five and ten-minute regional cerebral oxygen saturation as a predictor of the futility of resuscitation for out-of-hospital cardiac arrest

This study aimed to investigate the usefulness of cerebral regional oxygen saturation (rSO2) during the initial 5 and 10 minutes of cardiopulmonary resuscitation (CPR) compared with an initial rSO2 and mean rSO2 during entire CPR to predict the futility of resuscitation for patients without of-hospital-cardiac arrest (OHCA). This was a prospective study involving 52 adult patients presenting in OHCA and whose cerebral rSO2 values were measured until either CPR was terminated or sustained return of spontaneous circulation (ROSC) was achieved. Receiver operating characteristics analyses were used to evaluate which time and type of measurement is better to predict non-ROSC. The area under the curve (AUC) of each rSO2 value according to measurement time (overall, initial 5 minutes and 10 minutes) were the highest value of 0.743, 0.724, and 0.739, mean values of 0.724, 0.677 and 0.701 and rSO2 (Changes in values of regional cerebral oxygen) value of 0.722, 0.734 and 0.724, respectively, while all of the initial values had a poor AUC (<0.7) and also were not statistically significant. The optimal cut-off value of each rSO2 values during overall, initial 5 minutes and 10 minutes were the highest value of 26% (sensitivity, 53.9% specificity, 92.3%), 24% (sensitivity, 56.4% specificity, 92.3%), and 30% (sensitivity, 61.5% specificity, 84.6%), mean value of 15.2%, 15.3% and 16%, respectively. None of the patients with a persistent rSO2 <=18% during the overall period achieved ROSC. Initial 5 minutes and 10 minutes cerebral rSO2 values an out-of-hospital-cardiac arrest (OHCA) are a better predictor in deciding the futility of CPR, compared to initial and overall measurements.Copyright © 2023 The Author(s). Published by MRE Press.

IOT Based Temperature and Oxygen Pulse Scan Entry System

In this project the system has been designed in the manner to detect the body temperature and oxygen saturation level (SpO2) of the person. To detect the body temperature and oxygen pulses we are using the respective sensors. The sensors we are using in this project is MLX90614 ESF thermometer and MAX30100 is integrated with the pulse oximeter. Here we have used the two Node MCU (ESP 32) for the different sensors, one Node MCU is connected to the temperature sensor and another Node MCU is connected to the pulse oximeter. The components we are using in this project is Eco friendly. The software we are using in this project is ARDUINO UNO R3 IDE (Integrated development board) and To show the results we are making use of Blynk app. The maximum errors we get in this project is about 2%. When it comes to health monitoring, it has shown the good results. This is the best way to minimize the spread of the COVID-19. It is a low cost and high functionality which makes it use in the different places like Hospitals, Malls, Sports etc. © 2022 IEEE.

Applicability of the ROX index in decision-making for hospitalization in COVID-19 patients: ROX index in the outpatient COVID-19 cases

Aim: Data on the outpatient follow-up of COVID-19 cases is still scarce. Also, the significance of the ROX index in decision-making for hospitalization in the ambulatory COVID-19 cases remains unknown. The aim of this study is to determine the general characteristics of COVID-19 patients treated as outpatients and to investigate whether the ROX index is applicable in hospitalization decisions. Material(s) and Method(s): This retrospective cohort study was conducted in confirmed adult COVID-19 cases between 15 October 2020 and 01 March 2021. A total of 5240 confirmed COVID-19 patients were included in the present study. Factors affecting hospitalization were investigated. Result(s): The study population was divided into two groups as those who require hospitalization (n=672) and those who did not (n=4568). The number of male patients and the mean age of the patients were significantly higher in hospitalized patients group (p=0.046, p<0.001). ROX index that was calculated at the home visit on the third day of disease was found significantly lower in the group of hospitalized patients (p<0.001). There was a significant correlation between ROX index and inflammatory biomarkers in the present study (p<0.001). The ROX index was found the most accurate parameter for decision-making for hospitalization in ambulatory COVID-19 patients (AUC=0.794 CI=0.773-0.814, p<0.001). Discussion(s): The ROX index can be a useful and objective clinical tool for decision making for hospitalization in the ambulatory COVID-19 cases.Copyright © 2022, Derman Medical Publishing. All rights reserved.

Enhanced Automated Oxygen Level controller for COVID Patient By Using Internet of Things (IoT)

The Internet of Things (IoT) shall be merged firmly and interact with a higher number of altered embedded sensor networks. It provides open access for the subsets of information for humankind's future aspects and on-going pandemic situations. It has changed the way of living wirelessly, with high involvement and COVID-related issues that COVID patients are facing. There is much research going on in the recent domain, like the Internet of Things. Considering the financial-economic growth, there isn't much significance as IoT is growing with industry 5.0 as the latest version. The newly spreading COVID-19 (Coronavirus Disease, 2019) will emphasize the IoT based technologies in a greater impact. It is growing with an increase in productivity. In collaboration with Cloud computing, it shows wireless communication efficiently and makes the COVID-19 eradication in a greater way. The COVID-19 issues which are faced by the COVID patients. Many patients are suffering from inhalation because of lung problems. The second wave attacks mainly on the lungs, where there is a shortage of breathing problems because of less supply of oxygen (insufficient amount of oxygen). The challenges emphasized as proposed are like the shortage of monitoring the on-going process. Readily being active in this pandemic situation, the mentioned areas are from which need to be discussed. The frameworks and services are given the correct data and information for supply of oxygen to the COVID patients to an extent. The Internet of Things also analyzes the data from the user perspective, which will later be executed for making on-demand technology more reliable. The outcome for the COVID-19 has been taken completely to help the on-going COVID patients live, which can be monitored through Oxygen Concentration based on the IoT framework. Finally, this article discusses and mentions all the parameters for COVID patients with complete information based on IoT. © 2022 IEEE.

Comparison of the 1-minute sit-to-stand test with the 6- minutes walk test for the evaluation of the functional status of post-COVID-19 patients

The assessment of functional capacity in severe post-COVID-19 patients, after hospitalization, is essential for estimating functional consequences, disability and exertional desaturation. To date, the 6-minutes walk test (6WMT) and the 1-minute sit-to-stand test (1STST) have been the most commonly used tests. The aim of this study is to investigate the relationship and discuss the utility of the 1STST compared to the 6MWT for follow-up evaluation of the functional status of severe post-COVID-19 patients. A cross-sectional study was performed in a post-COVID-19 public care clinic. A total of 55 patients (mean age: 57.85, SD 12.65) were evaluated. Functional performance was evaluated by 1STST and 6MWT. Both tests were performed 6 months after hospital discharge, on the same day, 1 hour apart. During the tests, the severity of dyspnea (by Modified Borg Scale), heart rate and pulse oxygen saturation (by pulse oximeter) were measured. A significant positive correlation was observed between 1STST and 6MWT (r = 0.30, p =. 026, 95% CI = [0.04, 0.53]). The correlation coefficient between the two tests was 0.30, indicating a moderate effect size. Also, the differences on the severity of dyspnea, heart rate and pulsed oxygen saturation between the two tests were not statistically significant (p =. 061;p =. 169;p =. 965). The 6MWT requires technical execution conditions that are not always easy to meet. Considering the statistically significant relationship between the 1STST and 6MWT, the 1STST may be used for a quick and alternative measurement of the functional assessment in post-COVID-19 patients.

The efficacy and safety of intravenous imatinib in invasively ventilated patients with COVID-19 related acute respiratory distress syndrome (InventCOVID): a multicentre, randomised, double-blinded, placebocontrolled, phase II clinical study

Background: A central hallmark of ARDS is hypoxemic respiratory failure due to increased pulmonary capillary leakage. The kinase inhibitor imatinib was shown to reverse vascular leak. This study aimed to investigate the effect of intravenous imatinib on pulmonary edema in patients with COVID-19 ARDS. Method(s): This multicentre, randomised, double-blind, placebo-controlled clinical trial (ClinicalTrial.gov identifier NCT04794088) included adult patients admitted to the ICU with moderate or severe COVID-19 ARDS. Patients were randomised 1:1 to receive 200mg intravenous imatinib or placebo twice daily for seven days or until ICU discharge. The change in extravascular lung water index between day 1 and day 4, measured using a PiCCO catheter, was chosen as the primary endpoint. Secondary outcomes included the PaO2/FiO2 ratio, number of ventilator free days, length of ICU admission and 28-day mortality rate. Study drug safety was assessed by daily screening of the patient records for adverse and serious adverse event occurrence and by performing ECGs and targeted clinical laboratory tests to monitor renal, liver and cardiac function. Result(s): Between March 2021 and 2022, 67 predominantly male (58%) patients with a mean age of 63+/-10 years were randomized to receive imatinib or placebo. No adverse events were considered to be related to study drug administration. At the moment of the submission, data cleaning is still ongoing. Conclusion(s): Thus far, intravenous imatinib administration seems safe and feasible in patients with COVID-19 related ARDS.