The impact of non-pharmaceutical interventions on the first COVID-19 epidemic wave in South Africa.

OBJECTIVE: In this study, we investigated the impact of COVID-19 NPIs in South Africa to understand their effectiveness in the reduction of transmission of COVID-19 in the South African population. This study also investigated the COVID-19 testing, reporting, hospitalised cases, excess deaths and COVID-19 modelling in the first wave of the COVID-19 epidemic in South Africa. METHODS: A semi-reactive stochastic COVID-19 model, the ARI COVID-19 SEIR model, was used to investigate the impact of NPIs in South Africa to understand their effectiveness in the reduction of COVID-19 transmission in the South African population. COVID-19 testing, reporting, hospitalised cases and excess deaths in the first COVID-19 epidemic wave in South Africa were investigated using regressional analysis and descriptive statistics. FINDINGS: The general trend in population movement in South African locations shows that the COVID-19 NPIs (National Lockdown Alert Levels 5,4,3,2) were approximately 30% more effective in reducing population movement concerning each increase by 1 Alert Level. The translated reduction in the effective SARS-CoV-2 daily contact number (ß) was 6.12% to 36.1% concerning increasing Alert Levels. Due to the implemented NPIs, the effective SARS-CoV-2 daily contact number in the first COVID-19 epidemic wave in South Africa was reduced by 58.1-71.1% while the peak was delayed by 84 days. The estimated COVID-19 reproductive number was between 1.98 to 0.40. During South Africa's first COVID-19 epidemic wave, the mean COVID-19 admission status in South African hospitals was 58.5%, 95% CI [58.1-59.0] in the general ward, 13.4%, 95% CI [13.1-13.7] in the intensive care unit, 13.3%, 95% CI [12.6-14.0] on oxygen, 6.37%, 95% CI [6.23-6.51] in high care, 6.29%, 95% CI [6.02-6.55] on ventilator and 2.13%, 95% CI [1.87-2.43] in isolation ward respectively. The estimated mean South African COVID-19 patient discharge rate was 11.9 days per patient. While the estimated mean of the South African COVID-19 patient case fatality rate (CFR) in hospital and outside the hospital was 2.06%, 95% CI [1.86-2.25] (deaths per admitted patients) and 2.30%, 95% CI [1.12-3.83](deaths per severe and critical cases) respectively. The relatively high coefficient of variance in COVID-19 model outputs observed in this study shows the uncertainty in the accuracy of the reviewed COVID-19 models in predicting the severity of COVID-19. However, the reviewed COVID-19 models were accurate in predicting the progression of the first COVID-19 epidemic wave in South Africa. CONCLUSION: The results from this study show that the COVID-19 NPI policies implemented by the Government of South Africa played a significant role in the reduction of COVID-19 active, hospitalised cases and deaths in South Africa's first COVID-19 epidemic wave. The results also show the use of COVID-19 modelling to understand the COVID-19 pandemic and the impact of regressor variables in an epidemic.

Comprehensive evaluation of six interventions for hospitalized patients with COVID-19: A propensity score matching study.

Purpose: The purpose of this study was to evaluate the effectiveness of either hydroxychloroquine, triple combination therapy (TCT), favipiravir, dexamethasone, remdesivir, or COVID-19 convalescent plasma (CCP) in comparison with standard-of-care for hospitalized patients with COVID-19 using real-world data from Saudi Arabia. Patients and methods: A secondary database analysis was conducted using the Saudi Ministry of Health database for patients with COVID-19. Adult (≥18 years) hospitalized patients with COVID-19 between March 2020 and January 2021 were included in the analysis. A propensity score matching technique was used to establish comparable groups for each therapeutic approach. Lastly, an independent t-test and chi-square test were used to compare the matching groups in the aspects of the duration of hospitalization, length of stay (LOS) in intensive care units (ICU), in-hospital mortality, and composite poor outcome. Multilevel logistic regression model was used to assess the association between the severity stage of COVID-19 and the outcomes while using the medication or intervention used as a grouping variable in the model. Results: The mean duration of hospitalization was significantly longer for patients who received TCT, favipiravir, dexamethasone, or CCP compared to patients who did not receive these therapies, with a mean difference ranging between 2.2 and 4.9 days for dexamethasone and CCP, respectively. Furthermore, the use of favipiravir or CCP was associated with a longer stay in ICU. Remdesivir was the only agent associated with in-hospital mortality benefit. A higher risk of mortality and poorer composite outcome were associated with the use of favipiravir or dexamethasone. However, the logistic regression model reveled that the difference between the two matched cohorts was due to the severity stage not the medication. Additionally, the use of hydroxychloroquine, TCT, or CCP had no impact on the incidence of in-hospital mortality or composite poor outcomes. Conclusion: Remdesivir was the only agent associated with in-hospital mortality benefit. The observed worsened treatment outcomes associated with the use of dexamethasone or FPV shall be attributed to the severity stage rather than the medication use. In light of these varied results, additional studies are needed to continue evaluating the actual benefits of these therapies.

An Update on Severe Acute Respiratory Syndrome Coronavirus 2 Diversity in the US National Capital Region: Evolution of Novel and Variants of Concern.

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants concerning for enhanced transmission, evasion of immune responses, or associated with severe disease have motivated the global increase in genomic surveillance. In the current study, large-scale whole-genome sequencing was performed between November 2020 and the end of March 2021 to provide a phylodynamic analysis of circulating variants over time. In addition, we compared the viral genomic features of March 2020 and March 2021. METHODS: A total of 1600 complete SARS-CoV-2 genomes were analyzed. Genomic analysis was associated with laboratory diagnostic volumes and positivity rates, in addition to an analysis of the association of selected variants of concern/variants of interest with disease severity and outcomes. Our real-time surveillance features a cohort of specimens from patients who tested positive for SARS-CoV-2 after completion of vaccination. RESULTS: Our data showed genomic diversity over time that was not limited to the spike sequence. A significant increase in the B.1.1.7 lineage (alpha variant) in March 2021 as well as a transient circulation of regional variants that carried both the concerning S: E484K and S: P681H substitutions were noted. Lineage B.1.243 was significantly associated with intensive care unit admission and mortality. Genomes recovered from fully vaccinated individuals represented the predominant lineages circulating at specimen collection time, and people with those infections recovered with no hospitalizations. CONCLUSIONS: Our results emphasize the importance of genomic surveillance coupled with laboratory, clinical, and metadata analysis for a better understanding of the dynamics of viral spread and evolution.

Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020-December 2021.

This paper uses a robust method of spatial epidemiological analysis to assess the spatial growth rate of multiple lineages of SARS-CoV-2 in the local authority areas of England, September 2020-December 2021. Using the genomic surveillance records of the COVID-19 Genomics UK (COG-UK) Consortium, the analysis identifies a substantial (7.6-fold) difference in the average rate of spatial growth of 37 sample lineages, from the slowest (Delta AY.4.3) to the fastest (Omicron BA.1). Spatial growth of the Omicron (B.1.1.529 and BA) variant was found to be 2.81× faster than the Delta (B.1.617.2 and AY) variant and 3.76× faster than the Alpha (B.1.1.7 and Q) variant. In addition to AY.4.2 (a designated variant under investigation, VUI-21OCT-01), three Delta sublineages (AY.43, AY.98 and AY.120) were found to display a statistically faster rate of spatial growth than the parent lineage and would seem to merit further investigation. We suggest that the monitoring of spatial growth rates is a potentially valuable adjunct to outbreak response procedures for emerging SARS-CoV-2 variants in a defined population.

Estimating conditional vaccine effectiveness.

Vaccine effectiveness for COVID-19 is typically estimated for different outcomes that often are hierarchical in severity (e.g. any documented infection, symptomatic infection, hospitalization, death) and subsets of each other. Conditional effectiveness for a more severe outcome conditional on a less severe outcome is the protection offered against the severe outcome (e.g. death) among those who already sustained the less severe outcome (e.g. documented infection). The concept applies also to the protection offered by previous infection rather than vaccination. Formulas and a nomogram are provided here for calculating conditional effectiveness. Illustrative examples are presented from recent vaccine effectiveness studies, including situations where effectiveness for different outcomes changed at different pace over time. E(death | documented infection) is the percent decrease in the case fatality rate and E(death | infection) is the percent decrease in the infection fatality rate (IFR). Conditional effectiveness depends on many factors and should not be misinterpreted as a causal effect estimate. However, it may be used for better personalized communication of the benefits of vaccination, considering also IFR and epidemic activity in public health decision-making and communication.

Changes to the home food environment and parent feeding practices during the COVID-19 pandemic: A qualitative exploration.

The COVID-19 pandemic brought about many changes that potentially altered the home food environment, which has been associated with child eating patterns and dietary intake. There is also some evidence that changes due to the COVID-19 pandemic are associated with health behaviors in children, such as an increased intake of high-calorie snack food. The current study aimed to more deeply understand how the COVID-19 pandemic affected the home food environment of meal and snack time routines and parent feeding practices within families of young children. Data for this study are taken from the Kids EAT! Study, a racially/ethnically diverse cohort of families with 2-5 year old children. Qualitative interviews were conducted by phone and video conference with mothers (n = 25) during August/September 2020 and were coded using a hybrid deductive/inductive analysis approach. This allowed coders to identify themes using the interview questions as an organizational template (deductive) while also allowing unique themes to emerge from the qualitative data (inductive). Three overarching themes emerged with multiple sub-themes: 1) Mothers were more directive in the types of food and amounts of food eaten by children; 2) Mothers had less rules around mealtimes; 3) Mothers had increased meal responsibilities. When faced with a change in a structured schedule and increased stress-such as occurred with the COVID-19 pandemic, parents may benefit from advice on how to manage parent feeding practices, including tips on appropriate limit setting, establishing a schedule and routines, and improving accessibility of healthful snacks. Lessons learned during the COVID-19 pandemic may have relevance to other time periods when families face disruptions to routine and during other times of transition.

Enhancing epidemiological surveillance of the emergence of the SARS-CoV-2 Omicron variant using spike gene target failure data, England, 15 November to 31 December 2021.

When SARS-CoV-2 Omicron emerged in 2021, S gene target failure enabled differentiation between Omicron and the dominant Delta variant. In England, where S gene target surveillance (SGTS) was already established, this led to rapid identification (within ca 3 days of sample collection) of possible Omicron cases, alongside real-time surveillance and modelling of Omicron growth. SGTS was key to public health action (including case identification and incident management), and we share applied insights on how and when to use SGTS.

The impact of SARS-CoV-2 vaccination in Dravet syndrome: A UK survey.

BACKGROUND: The COVID-19 pandemic led to the urgent need for accelerated vaccine development. Approved vaccines have proved to be safe and well tolerated across millions of people in the general population. Dravet syndrome (DS) is a severe, early onset, developmental and epileptic encephalopathy. Vaccination is a precipitating factor for seizures. While there is no evidence that vaccine-precipitated seizures lead to adverse outcomes in people with DS, fear surrounding vaccination can remain for caregivers of people with DS, in some cases resulting in rejection of recommended vaccinations, leaving individuals more vulnerable to the relevant infections. A greater understanding of the safety profile of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination in this vulnerable group will help provide guidance for caregivers and clinicians when considering vaccination. METHODS: A cross-sectional survey regarding COVID-19 and SARS-CoV-2 vaccine, in people with DS, was conducted by Dravet Syndrome UK (DSUK). Concomitantly, a review of individuals with DS who had recently received the SARS-CoV-2 vaccine, and who are resident at the Chalfont Centre for Epilepsy (CCE), or attend epilepsy clinics at the National Hospital for Neurology and Neurosurgery (NHNN), was undertaken. RESULTS: Thirty-eight people completed the DSUK survey. Thirty-seven percent of caregivers reported being concerned about someone with DS receiving the SARS-CoV-2 vaccine; with some reporting that they would decline a vaccine when offered. Seventy-seven percent had not received any advice from a healthcare professional about the SARS-CoV-2 vaccination. 18/38 were eligible for SARS-CoV-2 vaccination, of whom nine had received their first vaccine dose. Combining the results of the DSUK survey and the review of individuals monitored at CCE or NHNN, fifteen people with DS had received their first dose of the SARS-CoV-2 vaccine. 11/15 (73%) reported at least one side effect, the most common being fatigue (6/15; 40%) and fever (6/15; 40%). Three individuals (20%) reported an increase in seizure frequency after the first vaccine dose. No increase in seizure frequency or duration was reported after the second dose. CONCLUSION: Overall, these results suggest that SARS-CoV-2 vaccines are safe and well tolerated in individuals with DS, as they are in most people without DS. In most people with DS, SARS-CoV-2 vaccine does not appear to be associated with an increase in the frequency or duration of seizures, even in those who develop fever post-vaccination. Many caregivers are concerned about a person with DS receiving a SARS-CoV-2 vaccine, with some reporting that they would decline a SARS-CoV-2 vaccine when offered. It is crucial that healthcare professionals are proactive in providing accurate information regarding the risks and benefits of vaccination in this population, given the potential for serious outcomes from infection.

Predicting the dynamical behavior of COVID-19 epidemic and the effect of control strategies.

This paper uses transformed subsystem of ordinary differential equation s e i r s model, with vital dynamics of birth and death rates, and temporary immunity (of infectious individuals or vaccinated susceptible) to evaluate the disease-free D F E X ¯ D F E , and endemic E E X ¯ E E equilibrium points, using the Jacobian matrix eigenvalues λ i of both disease-free equilibrium X ¯ D F E , and endemic equilibrium X ¯ E E for COVID-19 infectious disease to show S, E, I, and R ratios to the population in time-series. In order to obtain the disease-free equilibrium point, globally asymptotically stable ( R 0 ≤ 1 ), the effect of control strategies has been added to the model (in order to decrease transmission rate ß , and reinforce susceptible to recovered flow), to determine how much they are effective, in a mass immunization program. The effect of transmission rates ß (from S to E) and α (from R to S) varies, and when vaccination effect ρ , is added to the model, disease-free equilibrium X ¯ D F E is globally asymptotically stable, and the endemic equilibrium point X ¯ E E , is locally unstable. The initial conditions for the decrease in transmission rates of ß and α , reached the corresponding disease-free equilibrium X ¯ D F E locally unstable, and globally asymptotically stable for endemic equilibrium X ¯ E E . The initial conditions for the decrease in transmission rate s ß and α , and increase in ρ , reached the corresponding disease-free equilibrium X ¯ D F E globally asymptotically stable, and locally unstable in endemic equilibrium X ¯ E E .

Impact of a National Lockdown on Cycling Injuries.

Introduction The Sars-CoV-2 pandemic led to a national lockdown in Ireland from March 12th to June 7th, 2020. The present study aimed to assess the change in the pattern of cycling attendances to an Irish ED during a pandemic. Methods This is a retrospective before-and-after study carried out at a university hospital ED. We compared cycling attendances during Lockdown (LD) (13th March-7th June 2020) with Pre-Lockdown (PLD) (January 1st-March 12th, 2020). Furthermore, we also compared lockdown to an historical control period during the equivalent dates in 2019 (i.e. March 13th-June 7th, 2019) Results There were 151 cycling attendances during LD, 122 in PLD and 164 during the control period. The number of cyclists presenting during "rush hour traffic" in the LD period was 30 (19.9%) versus 42 (34.4%) during PLD (p<0.05) and 51 (31.1%) during the control period (p<0.05). During LD, 8 (5.3%) collisions involved a motor vehicle compared to 26 (21.3%) in PLD (p<0.05) and 43 (26.2%) during the control period (p<0.05). Conclusion Lockdown did not result in increased cycling attendances to this ED. The patients who did sustain a cycling-related injury during lockdown were less likely to have collided with a motor vehicle compared to the control period. The reduction in motor vehicle collisions could be attributed to less traffic congestion and highlights the potential benefits of road-user segregation.

Employing telehealth strategies for opioid addiction during COVID-19: implications for social work health care.

As the COVID-19 global pandemic continues, more than 40 states have reported increases in opioid-related mortality. The issue of service access and delivery poses a major concern for those struggling with mental illness and substance use disorders in the United States. To ensure the continuity of health care during the pandemic and the co-occurring opioid crisis, the United States continues to adapt its healthcare delivery strategies, which include the introduction of telehealth. Telehealth is a relatively new concept and requires rapid systems changes as well as adjustments from both service providers and recipients. The proper adaptation to the new service delivery method could result in process optimization and improved outcomes for those struggling with opioid dependency. This study aims to bring attention to the opioid crisis that may be overlooked in light of the global pandemic and encourage social workers and other mental health professionals to utilize modern technological advancements to improve service delivery to their clients. This paper offers a literature review with four themes: (1) a retrospect on pain and opioids, (2) current telehealth models and practical strategies, (3) social work roles and functions in telehealth care, and (4) next steps and implications of telehealth for social work as a much-needed health-care delivery tool at the clinical and community social work practice level.

A case of COVID-19 Reinfection and Systematic Review of Patterns of Reinfection.

We present a case of a middle age Hispanic patient with COVID-19 reinfection. We conducted a systematic review of the literature of reinfection cases and found that women represent the majority of the cases and that reinfection usually presents with more severe disease, particularly among healthcare workers.

Guidance for Medical Ethicists to Enhance Social Cooperation to Mitigate the Pandemic.

The Covid-19 pandemic has presented major challenges to society, exposing preexisting ethical weaknesses in the modern social fabric's ability to respond. Distrust in government and a lessened authority of science to determine facts have both been exacerbated by the polarization and disinformation enhanced by social media. These have impaired society's willingness to comply with and persevere with social distancing, which has been the most powerful initial response to mitigate the pandemic. These preexisting weaknesses also threaten the future acceptance of vaccination and contact tracing, two other tools needed to combat epidemics. Medical ethicists might best help in this situation by promoting truth-telling, encouraging the rational adjudication of facts, providing transparent decision-making and advocating the virtue of cooperation to maximize the common good. Those interventions should be aimed at the social level. The same elements of emphasizing cooperation and beneficence also apply to the design of triage protocols for when resources are overwhelmed. A life-stages approach increases beneficence and reduces harms. Triage should be kept as simple and straightforward as reasonably possible to avoid unwieldly application during a pandemic.

Serological assays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), March 2020.

BackgroundThe ongoing coronavirus disease (COVID-19) pandemic has major impacts on health systems, the economy and society. Assessing infection attack rates in the population is critical for estimating disease severity and herd immunity which is needed to calibrate public health interventions. We have previously shown that it is possible to achieve this in real time to impact public health decision making.AimOur objective was to develop and evaluate serological assays applicable in large-scale sero-epidemiological studies.MethodsWe developed an ELISA to detect IgG and IgM antibodies to the receptor-binding domain (RBD) of the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We evaluated its sensitivity and specificity in combination with confirmatory microneutralisation (MN) and 90% plaque reduction neutralisation tests (PRNT90) in 51 sera from 24 patients with virologically confirmed COVID-19 and in age-stratified sera from 200 healthy controls.ResultsIgG and IgM RBD ELISA, MN and PRNT90 were reliably positive after 29 days from illness onset with no detectable cross-reactivity in age-stratified controls. We found that PRNT90 tests were more sensitive in detecting antibody than MN tests carried out with the conventional 100 tissue culture infectious dose challenge. Heparinised plasma appeared to reduce the infectivity of the virus challenge dose and may confound interpretation of neutralisation test.ConclusionUsing IgG ELISA based on the RBD of the spike protein to screen sera for SARS-CoV-2 antibody, followed by confirmation using PRNT90, is a valid approach for large-scale sero-epidemiology studies.

Experiencing COVID-19 Through the Patient Lens to Promote Empathy: Pilot Testing a Virtual Reality Learning Opportunity.

Understanding the patient's experience with COVID-19 was essential to providing high-quality, person-centered care during the pandemic. Having empathy or being able to understand and respond to the patient's experience may lead to improved outcomes for both patients and clinicians. There is mixed evidence about how best to teach empathy, particularly related to promoting empathy during COVID-19. Literature suggests that virtual reality may be effective in empathy-related education. In collaboration with four patient partners with lived experience, a 360° VR video was developed reflecting their stories and interactions with the healthcare system. The aim of this study was to pilot test the video with interprofessional healthcare providers (HPs) to explore acceptability and utility, while also seeking input on opportunities for improvement. Eleven HPs reviewed the video and participated in one of three focus groups. Focus group data were analyzed using thematic analysis. Data suggest that video content is acceptable and useful in promoting a better understanding of the patient's experience. Building on these encouraging findings, additional iterations of videos to promote empathy will be developed and tested.

Neurocognitive Changes in Patients with Post-COVID Depression.

Background: Depression and cognitive impairment are recognized complications of COVID-19. This study aimed to assess cognitive performance in clinically diagnosed post-COVID depression (PCD, n = 25) patients using neuropsychological testing. Methods: The study involved 71 post-COVID patients with matched control groups: recovered COVID-19 individuals without complications (n = 18) and individuals without prior COVID-19 history (n = 19). A post-COVID depression group (PCD, n = 25) was identified based on psychiatric diagnosis, and a comparison group (noPCD, n = 46) included participants with neurological COVID-19 complications, excluding clinical depression. Results: The PCD patients showed gender-dependent significant cognitive impairment in the MoCA, Word Memory Test (WMT), Stroop task (SCWT), and Trail Making Test (TMT) compared to the controls and noPCD patients. Men with PCD showed worse performances on the SCWT, in MoCA attention score, and on the WMT (immediate and delayed word recall), while women with PCD showed a decline in MoCA total score, an increased processing time with less errors on the TMT, and worse immediate recall. No differences between groups in Sniffin's stick test were found. Conclusions: COVID-related direct (post-COVID symptoms) and depression-mediated (depression itself, male sex, and severity of COVID-19) predictors of decline in memory and information processing speed were identified. Our findings may help to personalize the treatment of depression, taking a patient's gender and severity of previous COVID-19 disease into account.

Balance Disorders in People with History of COVID-19 in Light of Posturographic Tests.

Coronavirus disease-19 (COVID-19), resulting from infection with the SARS-CoV-2 virus, causes not only flu-like symptoms, such as fever, aches, or a dry cough, but also affects the sensory system, leading to a loss of smell and taste or to neurological deficits in the shape of balance disorders and dizziness. PURPOSE OF THE STUDY: Our research aimed to assess the prevalence of balance disorders in patients who had suffered COVID-19. MATERIAL AND METHODS: The study group consisted of 73 subjects with a history of SARS-CoV-2 infection. The control group consisted of 50 healthy people with similar demographics. A balance analysis was performed on a tensometric platform, using the Romberg test. RESULTS: Statistically significant differences between the results of the study group and the control group were obtained in the evaluation of the length of body sways and the area of gravity center, both with open and closed eyes, and in the case of maximum body sways with open eyes. CONCLUSIONS: Patients who have suffered COVID-19 may suffer from balance disorders detectable by posturographic tests.

SARS-CoV-2 immune complex triggers human monocyte necroptosis.

We analyzed the ability of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) itself and SARS-CoV-2-IgG immune complexes to trigger human monocyte necroptosis. SARS-CoV-2 was able to induce monocyte necroptosis dependently of MLKL activation. Necroptosis-associated proteins (RIPK1, RIPK3 and MLKL) were involved in SARS-CoV-2N1 gene expression in monocytes. SARS-CoV-2 immune complexes promoted monocyte necroptosis in a RIPK3- and MLKL-dependent manner, and Syk tyrosine kinase was necessary for SARS-CoV-2 immune complex-induced monocyte necroptosis, indicating the involvement of Fcγ receptors on necroptosis. Finally, we provide evidence that elevated LDH levels as a marker of lytic cell death are associated with COVID-19 pathogenesis.

Can Hydrogen Water Enhance Oxygen Saturation in Patients with Chronic Lung Disease? A Non-Randomized, Observational Pilot Study.

BACKGROUND: Recently, chronic lung diseases have been found to be associated with marked inflammation and oxidative stress, which leads to fibrosis in the lungs and chronic respiratory failure. This study aims to determine if hydrogen-rich water (HRW) can enhance oxygen saturation among patients with chronic lung diseases. METHODS: Ten patients with chronic lung diseases due to COPD (n = 7), bronchial asthma (n = 2), and tuberculosis of the lung (n = 1) with oxygen saturation of 90-95% were provided high-concentration (>5 mM) HRW using H2-producing tablets for 4 weeks. Oxygen saturation was measured via oximeter and blood pressure via digital automatic BP recorder. RESULTS: HRW administration was associated with a significant increase in oxygen saturation (SpO2) and decrease in TBARS, MDA, and diene conjugates, with an increase in vitamin E and nitrite levels, compared to baseline levels. Physical training carried out after HRW therapy appeared to increase exercise tolerance and decrease hypoxia, as well as delay the need for oxygen therapy. CONCLUSION: Treatment with HRW in patients with hypoxia from chronic lung diseases may decrease oxidative stress and improve oxygen saturation in some patients. HRW therapy may also provide increased exercise tolerance in patients with chronic hypoxia, but further research is needed.