ABSTRACT
Continuous bio-surveillance of SARS-CoV-2 is an ongoing task at local, national and global levels since the pandemic onset for understanding genetic evolution and vaccine efficacy. Present study was designed to track the emergence of new variants along the duration of three peaks of infection in the city of Puducherry, India. A total of 128 samples were subjected to Illumina deep RNA sequencing. The results showed predominance of uncommon, delta and omicron variants in first, second and third waves respectively. The most common pangolin lineage was B.1.560 and B.1.617.2. The study observed a total of 3133 common and 11 new mutations. The most common is in the Spike_D614G. A new set of mutations was observed in key viral factors such as NS16 that are implicated to be involved in immune evasion. This may have impact on enhanced disease virulence, vaccine efficiency and possible tolerance to current antivirals. This warrants further in vitro studies to understand the significance of the mutations. While the results presented would also augment the ongoing research on evolutionary and the genetic epidemiology of SARS-CoV-2, it also emphasizes the need for continuous genetic monitoring to predict the forthcoming threats due to the emergence of new or existing variants.
ABSTRACT
INTRODUCTION: Disaster planning is of significant importance for the healthcare professional and the healthcare setting. Hospital-based disaster protocols form the cornerstone of disaster response. There is a paucity of data on disaster preparedness training using the virtual tabletop exercise (VTTX) module for interprofessional education from in-hospital and prehospital settings. With the coronavirus disease 2019 (COVID-19) pandemic, we have seen a paradigm shift of education strategies to the virtual realm. Here we attempt to study the impact of an online tabletop exercise workshop on the knowledge and confidence of disaster preparedness among Interprofessional trainees. MATERIAL AND METHODS: Interprofessional trainees from medical, dental, nursing, respiratory therapy, and paramedic domains who consented were included in this study. Institutional ethics committee approval was received and the study was registered with the clinical trials registry India (CTRI), before initiation. The VTTX module has been adapted from the World Health Organization (WHO) COVID-19 training resources. Three international experts from the disaster medicine domain validated the module, questionnaire, and feedback. Wilcoxon signed-rank test was used to compare the parameters (Knowledge and confidence level) pre and post-workshop. RESULTS: A total of 76 candidates with a mean age was 21.67 ± 2.5 (range:19-36) were part of the workshop. Comparison of the median scores and interquartile range of confidence level and knowledge respectively before [38 (29.25-45.75), 9 (7-11)] and after [51.50 (45-60), 11 (10-12)] the workshop showed vital significance (p-value < 0.001). All participants gave positive feedback on the workshop meeting the objectives. The majority agreed that the workshop improved their self-preparedness (90%) and felt that the online platform was appropriate (97.5%) CONCLUSIONS: This study sheds light on the positive impact of the online VTTX based workshop on disaster preparedness training among interprofessional trainees. Disaster preparedness training using available online platforms may be effectively executed with the VICTEr workshop even during the COVID-19 pandemic. The VICTEr workshop serves as a primer for developing online modules for effective pandemic preparedness training in interprofessional education. Copyright © 2023 Via Medica.
ABSTRACT
Introduction: COVID-19 is a widespread disease having more impact on elderly as compared to younger age group. [2] Although many parameters have emerged as predictors of prognosis of COVID-19, a simple clinical score at baseline can be used for early risk stratification. NEWS2 (National Early Warning Score) is one such scoring system which was originally developed to improve detection of deterioration in acutely ill patients.[8] Therefore, the present study has been conducted to assess the effectiveness of NEWS2 in predicting critical outcomes and mortality in geriatric patients with COVID-19. Material(s) and Method(s): A cross sectional Observational study was done on 200 Geriatric patients hospitalised with confirmed COVID-19 between December 2020 to November 2022. Baseline NEWS2 score was calculated. The sensitivity, specificity, Positive Predictive Value and Negative Predictive Value were established for NEWS2 score of 5 or above. Result(s): In critical group, all 109 (100%) patients' deterioration was predicted, and in non-critical group, in 14 (15.4%) patients non deterioration was predicted while 77 (84.6%) patients' deterioration was predicted. Statistically significant association has been observed between the critical, non-critical groups and NEWS2 scale (P=0.001). Deterioration was predicted by NEWS2 scale in all the critical patients. Conclusion(s): NEWS2 score of 5 or more on admission predicts poor prognosis in geriatric patients with COVID-19 with good sensitivity and it can easily be applied for risk stratification at baseline. We recommend further studies in the Indian setting to validate this simple score and use it further in Geriatric patients with COVID-19.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
ABSTRACT
Introduction: COVID-19 pandemic affected 44,696,984 people in India Geriatric (age 60 years and above) population is increasing globally. Older adults have been affected badly with COVID-19 Neutrophil lymphocyte ratio (NLR) is used in several diseases as an inflammatory marker in predicting prognosis. According to a recent study patients with severe COVID-19 are reported to have higher Neutrophil lymphocyte ratio ( NLR). In this study we aimed to assess the accuracy of Neutrophil lymphocyte ratio (NLR) as a predictor of disease severity and mortality in geriatric patients with COVID-19. Material(s) and Method(s): 200 geriatric inpatients infected with COVID-19 were included in the study. Neutrophil lymphocyte ratio (NLR) at admission was recorded. Neutrophil lymphocyte ratio (NLR) cutoff was taken 3.5. Patients were categorized into mild, moderate, severe and critical cases according to criteria given by Maharashtra Task Force. Relationship between Neutrophil lymphocyte ratio (NLR) and disease outcome was assessed. A p value < 0.05 was taken as statistically significant. Result(s): The mean age of study sample was 69.00 +/-7.09 years. A significant association was found between Neutrophil lymphocyte ratio (NLR) and disease severity (p-0.048) as well as mortality (p-0.041).Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.
ABSTRACT
Corona is a new type of virus that emerged from China country in Asian continent which have created a strong death fear among the people. This Corona has occupied the entire globe within a short span of time many died for want of oxygen. It is the responsibility of the government to extend the constitutional rights such as the right to education, distribution of food, security, etc. Online classes started for all, and measurement is taken to supply food for everybody through the distribution process. To take care of safety and security lockdown imposed everything has come to a total stop in the transportation, shops, offices other than hospitals and related units,judiciary has made a vital role during this period. The police officials have a tough time moving with people as they are not listening to the words of police who advised, politely, requested them to follow, and pleaded. There afterward, taken action and arrested them later produced to the court. We shall keep our environment very clean to avoid the spread of Corona, health is wealth. Indian constitution is very powerful in India and the Disaster Management Act is also laid down in the constitutions. Without violating the constitutions that means unaltering the rule of law right to education has provided to the children through online mode, right to stay, all the citizens can choose the place of stay according to their choice hence during the period of COVID-19 even though they are in abroad they wanted to come back and stay in India for which court permitted and asked the government to follow the rules carefully so that Corona cannot spread due to them The Prime Minister being the head of constitution has to care for equal distribution of food even though in crisis. First survival then rules at that particular point of time court effectively responded means when the country is in crisis due to ACT OF GOD, COVID-19 pandemic by directing the government unaltering the rule of law provides education for all, that is possible only through online mode of education. Even though a lot of problems persist, the net is not available, people are not aware of the technology don't you think that it is a tough task we salute the nation for handling the situation with utmost care effectively and excellently.Copyright © 2020 Ubiquity Press. All rights reserved.
ABSTRACT
Background: COVID-19 has made a series changes in all system of life especially in education. As a result, education has changed dramatically with the distinctive rise of e-learning. The present study was aim to examine the preference and perception of MBBS student on newly introduced online live video classes. Method(s):An online questionnaire survey consisting of closed and open-ended questions on nine different categories such as accessing online video content, previous experience with online learning, interaction with video lectures addressing the content, duration, visualize, timings and screen size, perceived learning experience, the online content learning assessment methods and the experience with the online learning management system.Two hundred and thirteen undergraduate medical students were participating in this study. And it was conducted by the large medical institution in Andhra Pradesh. Result(s): The e-learning methods were encouraged and its gaining popularity among the medical students and faculty. Our analysis shown 97.7% students were highly satisfied and 2.3% were not satisfied with online classes on comparison to the traditional methods of learning. Conclusion(s):The teaching method and teachers support are the pivotal elements which enable online learning experience with a mutual relationship. Furthermore, the usefulness and acceptability of e-learning among medical students as a part of their curriculum is still not fathomed in medical education.Copyright © 2022 Indian Medical Association. All rights reserved.
ABSTRACT
Internet of Medical Things is one of the fastest growing fields in technology, and it is predicted to bring about the largest technological delivery ever. Medical systems have been pushed to improve online services across the board by the COVID-19 pandemic, as the edge-enabled Online learning system in the healthcare system offers incredible opportunities. With the introduction of cutting-edge digital health technologies, patients will be able to avoid unneeded, preventative hospitalizations. Furthermore, the utilization of adaptable and readily available media by both patients and medical professionals would allow telehealth-based medical platforms to make healthcare more efficient and economical. © 2022 IEEE.
ABSTRACT
Long-COVID or post-COVID is a phenomenon where people who have recovered from the COVID-19, suffer persisting symptoms for more than 4 weeks after the confirmed case of COVID-19 and they can last for months. Approximately 20% of the people affected by this Coronavirus disease (COVID-19) are suffering from mid and long term effects known as the Long COVID and it can affect multiple organs in the body and this can lead to death. To date, different studies and researches have been undertaken to understand about the Long COVID and make robust estimates on the predicting factors, symptoms and also to assess the various long term effects on the patients affected by it. Based on the available research articles and the papers published in mainstream journals on Long COVID, this survey paper aims at analyzing various methods and Machine learning models used to detect and predict Long COVID, to help clinicians and researchers working on early diagnosis of Long COVID. © 2022 IEEE.
ABSTRACT
Background: Children and young people (CYP) receiving long term ventilation (LTV) need regular cardiorespiratory sleep studies (CRSS) for management. COVID-19 pandemic restrictions necessitated increased at-home monitoring. Home ventilators have downloadable data which could provide useful insight into ventilation adequacy. We share our preliminary experience with use of downloaded ventilator data to manage LTV patients. Aim(s): Ventilator data from CYP receiving LTV was analysed. We hypothesised that detailed analysis of this data could assist clinical decision making. Method(s): 2-year ventilator download data (ResScan software, ResMed Sleep Solutions, UK) was retrospectively reviewed. Parameters included oxygen saturations, ventilator usage, pressure, air flow and leak. Respiratory rate and tidal volume helped calculate minute ventilation. "Breath-by breath' data was analysed by sleep physiologist and detailed report was provided for clinician review. Result(s): 95 ventilator downloads (36 BIPAP/ 59 CPAP) were analysed in 81 CYP. Poor ventilator adherence was identified in 11/95 (12%). Interface / mask issues were identified in 12/95 (13%). Further CRSS was required in only 4 cases (3%) and clinical interpretation was possible in the remainder. As a result, ventilation parameters were weaned in 17, increased in 5 and unchanged in rest. Conclusion(s): Detailed analysis of ventilator data was sufficient to permit clinical decision making in majority of CYP receiving LTV during the pandemic. It provides valuable information about adherence, interface issues and ventilation for management of these patients. Further validation of this methodology against existing CRSS techniques and to evaluate its role as a stand-alone investigation would be required.
ABSTRACT
The COVID-19 pandemic of the year 2020 resulted in high unemployment, business closings, property loss and decimation of individual wealth, disruption of global supply chains, and illness and deaths everywhere, but most intensely in countries classified as emerging markets. However, during this year, cash flow from investors in established markets to emerging markets has been of immense magnitude. While many companies, in emerging markets, reported very high risk-adjusted rates of return, many others reported so low rates during this period. This study aims to establish a unique profile of risk-return characteristics of the companies in emerging markets that have constantly reported the highest risk-adjusted returns to total capital during the pandemic. The statistical results of our study suggest that such unique profile can be used as a tool to forecast which companies, in such markets and during such disturbances in the future, will maintain high returns to capital providing an invaluable tool for investors, investment counselors and financial researchers tasked to determine firm's intrinsic value in such an environment.
ABSTRACT
Investors have shown increasing interest in Socially Responsible Investments (SRI) in the past few years, especially during the financial crisis caused due to the outbreak of the COVID-19 pandemic. SRI are evaluated on the basis of Environmental, Social and Governance (ESG) criteria. ESG information allows investors to assess the risks associated with a particular firm and how the firm manages or intends to manage future risks. Amidst the increasing investor interest in ESG products, we attempt to study the value addition of ESG performance to investors during crisis period. Using a sample of ESG rated firms listed on the Bombay Stock Exchange (BSE), we examine the investment performance, trading volumes and return volatility of ESG stocks in an emerging market like India during the COVID-19 crisis. The results of our event study conducted around the important events that have occurred in India during the COVID-19 pandemic provide evidence that investors can use ESG information as a signal of future stock performance. Most importantly, ESG performance provides downside protection during crisis times. Our results show that ESG performance does not prove to be detrimental to investment performance during normal times. Also, ESG performance was found to reduce stock return volatility during the COVID-19 pandemic. Overall, our study attempts to establish an investment case for ESG stocks in emerging markets in India by providing support to the good management hypothesis.
ABSTRACT
Socially Responsible Investments (SRI) have recently generated much interest among asset owners, managers and academicians. Though the Efficient Market Theory suggests that stock prices fully reflect all available information, few existing studies indicate that Environmental, Social and Governance (ESG) portfolios deliver superior risk-adjusted performance. ESG investing is at a nascent stage in India but is growing rapidly, especially after the COVID-19 pandemic. Asset managers always face the dilemma of choosing between different screening methods, screening intensities and stock weighting schemes to deliver outperformance. Our study attempts to investigate the impact of these portfolio construction criteria on the risk-adjusted performance of ESG portfolios in India. Our results show that there exists a trade-off between superior investment performance and unsystematic risk of ESG portfolios. Investors can benefit from investing in equally-weighted best-in-class portfolios constructed using ESG scores. We highlight the implications of our findings for asset owners, managers, index providers and regulators, and also provide directions for future research in the area of ESG portfolio management. © 2023 John Wiley & Sons Ltd.
ABSTRACT
Background The impact of COVID-19 on major adverse lower extremity (MALE) and cardiovascular events (MACE) in patients with peripheral artery disease (PAD) is unknown. Methods Using the VA Corporate Data Warehouse, Veterans with PAD were identified. Rates of MALE (amputation or lower extremity revascularization [LER]), and MACE (death, MI, or coronary revascularization) were assessed in pre-pandemic (3/11/2019-3/10/2020), early-pandemic (3/11/2020-3/10/2021), and late-pandemic (3/11/2021-3/10/2022) periods. Outcomes were compared using Kaplan-Meier method. Results Of 418,042 Veterans (mean age 72 yrs) with PAD, 76.7% were white and 96.8% male. Furthermore, 89.2% had HTN, 60.4% diabetes, 49.3% CAD, 21.6% heart failure, and 20.5% atrial fibrillation. From 3/11/2019 to 3/10/2022, 3,100 had amputation, 8,187 had LER, & 2,229 had MACE. Amputation rates declined and continued to decline in early- and late-pandemic period (306 to 268 to 235;p<0.001;rates per 100k). Rates of LER declined initially and stabilized in late-pandemic period (951 to 587 to 609;p < 0.001;rates per 100k). MACE did not change significantly. (215 to 168 to 202;p<0.001;rates per 100k). Conclusion Amputation rates in Veterans with PAD did not increase despite a clinically significant decline in LER. Given the known efficacy of noninvasive therapies in PAD, these data suggest that there is a need to re-evaluate appropriate indications for LER and amputation. [Formula presented]Copyright © 2023 American College of Cardiology Foundation
ABSTRACT
The objective of this paper is to identify respiratory diseases such as Asthma, Covid-19, pulmonary disease, and diabetes from the human breath odor using a non-invasive method. For detecting diseases using a non-invasive method, temperature sensor (to identify body temperature), pulse oximeter sensor (to identify blood oxygen level and heartbeat rate), and acetone sensor (to identify respiratory diseases from human breath odor) with Arduino ATMega328 microcontroller unit (MCU) were used. If the temperature is greater than 37.2 C, the heartbeat rate is greater than 100 bpm, and the oxygen level is less than 92% Covid-19 will be detected. If the oxygen level is less than 95% the heartbeat rate is at (100–125) bpm, and the temperature is at 36.1–37 C, asthma will be detected. If the heart rate is greater than 86 bpm, the temperature at 36.1–37 C, the oxygen level at 92–97% and the acetone level at (354–496) ppm, diabetes will be detected. If the oxygen level is less than 92% the temperature at 36.1–37 C, and the heartbeat rate is greater than 110 bpm, the pulmonary disease will be identified. After disease detection, suggestions will be provided to the patients based on their health reports. Finally, suggested medicines will be sent to the patient's registered mobile phones by connecting node MCU with blynk using IoT technology. The results will be stored and the patients can compare their health conditions for future analysis. The traditional method of laboratory tests is considered to consume more time. In our method, the duration of the detection process is less and the results help to identify health problems at early stages and predict diseases quickly compared to the traditional method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
A major concern during the COVID-19 pandemic has been the shortage of manpower for patient care. The recommendation of various authorised bodies encouraged the training of students from medical, nursing, and allied fields to manage COVID-19 cases by tele-consultation and monitoring of mild cases under the supervision of faculty. Anticipating a further shortage of human resources, leading to dire consequences, preparedness training for the final year and pre-final nursing undergraduates was initiated. The current study was conducted to evaluate the effectiveness of and feedback on COVID-19 preparedness training delivered to final-and pre-final-year undergraduate nursing students. A 3-day training was given to pre-final and final year nursing undergraduates on ECG, COVID-19 management protocols, personal protective equipment "donning and doffing", "hand hygiene", "biomedical waste management", "contact tracing" and cleaning and disinfection and simulation-based skills. Scores before and after training were conducted and mean scores were compared using a paired t-test. In total, 154 nursing students participated in the training program. Mean pre-test and post-test scores included: general instructions (21.69±2.5 and 25.09±3.29); skill procedures (5.4±1.21 and 6.3±1.2) and COVID management (22.84±3.26 and 26.48±2.06). There was a statistically significant improvement in knowledge and skills in all training sessions (p=0.0001). The mean post-test scores obtained at the OSCE stations for cardiac monitoring, prone positioning, compression-only CPR, airway, ECG and ABG ranged from 97.0% to 100.0% and all participants scored >70.0%. About 92.8% of the students felt that hands-on training enhanced their learning experiences. A need-based initiative of training final-and pre-final-year nursing students in COVID-19 support care effectively and efficiently created a skilled workforce.
Subject(s)
COVID-19 , Education, Nursing, Baccalaureate , Students, Nursing , Humans , COVID-19/epidemiology , Pandemics , Personal Protective EquipmentABSTRACT
Case Report: Tsukamurella species are aerobic, partially acid fast saprophytes commonly isolated from soil and water. They are opportunistic pathogens known to infect multiple organs and can contribute to significant pathologies such as bacteremia, peritonitis, and respiratory tract infections. Moreover, Tsukamurella shares certain characteristic properties to Mycobacterium tuberculosis and Actinomyces species, including the acid fast stain, which can contribute to misdiagnosis of patients. A 68 year old female patient presented to the ED for shortness of breath, fatigue, and weight loss for 6 months. The patient's past medical history includes pulmonary fibrosis, type 2 diabetes, coronary artery disease with stent, hyperlipidemia, hypertension, and M. tuberculosis infection when she was 3 years old in Finland. On admission, labs revealed thrombocytosis (reactive 555 000/microL), leukocytosis (14 450/microL), and microcytic anemia (9.4 microg/dl). Moreover, C reactive protein was elevated and procalcitonin was normal (0.06 microg/l);a COVID-19 PCR was negative. An X-ray revealed severe patchy and interstitial infiltrates throughout both lungs with parenchymal scarring and pleural thickening in the periphery of the left mid-lung zone with multifocal pneumonia. Blood and sputum cultures were performed under the impression of pneumonia, and treatment with azithromycin and ceftriaxone was started. A M. tuberculosis infection was suspected due to a positive AFS. Further chest CT suggested multifocal pneumonia within the left lung in addition to apparent cavitary lesions versus bulla, a chronic interstitial lung disease with traction bronchiectasis, calcified right lower lung nodule, and calcified hilar lymph nodes suggesting a history of granulomatosis diseases. A bronchoscopy with Bronchoalveolar lavage was performed. The initial sputum specimen direct smear showed acid-fast stain positive with Actinomyces growth, and Penicillin G was added to the treatment. Samples were sent to the state department lab, and biopsy revealed granulomatous inflammation negative for malignant cells. One month later, the patient's sputum culture showed Tsukamurella for High-performance liquid chromatography (HPLC). Moreover, a rifampicin sensible M. tuberculosis complex by NAA was also positive six weeks later. The patient was started on a complete TB regimen and continued in the outpatient pulmonology clinic with the addition of levofloxacin for three months and rifampicin substituted for rifabutin. As demonstrated in the case above, a Tsukamurella infection can present similarly to a Mycobacterium infection. Patients may be misdiagnosed or potentially be co-infected. Our patient was further tested and appropriately treated for Tsukamurella after further extensive diagnostic screenings. Due to a high rate of missed cases, it is important to keep Tsukamurella infection on the differential diagnosis as the patient presentation may initially appear to be a Mycobacterium or other pulmonary infection. Copyright © 2023 Southern Society for Clinical Investigation.
ABSTRACT
Background. The post-acute sequelae of SARS-CoV-2 (PASC) has emerged as a long-term complication in adults, but current understanding of the clinical presentation of PASC in children is limited. Our study objectives were to identify symptoms, health conditions, and medications associated with PASC in children. Methods. We conducted a retrospective cohort study using electronic health records from 9 US children's hospitals for individuals < 21 years who underwent polymerase chain reaction (PCR) testing for SARS-CoV-2 between March 1, 2020 - October 31, 2021 and had at least 1 encounter in the 3 years before testing. Our exposure of interest was SARS-CoV-2 PCR positivity. We identified syndromic (symptoms), systemic (conditions), and medication PASC features in the 28-179 days following the initial test date. Adjusted hazard ratios (aHRs) were obtained for 151 clinically predicted PASC features by contrasting PCR-positive with PCR-negative groups using proportional hazards models, adjusting for site, age, sex, testing location, race/ethnicity, and time-period of cohort entrance. We estimated the incidence proportion for any syndromic, systemic or medication PASC feature in the two groups to estimate PASC burden. Results. Among 659,286 children in the study sample, 59,893 (9.1%) tested positive by PCR for SARS-CoV-2. Most were tested in outpatient testing facility (50.3%) or office (24.6%) settings (Table 1). The most common syndromic, systemic, and medication features were loss of taste or smell (aHR 1.96 [95% CI 1.16-3.32), myocarditis (aHR 3.10 [95% CI 1.94-4.96]) (Figures 1 and 2), and cough and cold preparations (aHR 1.52 [95% CI 1.18-1.96]). The incidence of at least one systemic/syndromic/ medication feature of PASC was 42.0% among PCR-positive children versus 38.2% among PCR-negative children, with an incidence proportion difference of 3.8% (95% CI 3.3-4.3%). A higher strength of association for PASC was identified in those cared for in the ICU during the acute illness phase, children less than 5 years-old, and individuals with complex chronic conditions. Adjusted hazard ratios (aHR) with associated 95% CI among patients who tested positive for SARS-CoV-2 infection versus those who tested negative for the risk of each syndromic feature (symptom) using Cox proportional hazards models. Models were adjusted for age at cohort entrance, sex, race/ethnicity, institution, testing place location, presence of a complex medical condition and date of cohort entrance. Adjusted hazard ratios (aHR) with associated 95% CI among patients who tested positive for SARS-CoV-2 infection versus those who tested negative for the risk of each systemic feature using Cox proportional hazards models. Models were adjusted for age at cohort entrance, sex, race/ethnicity, institution, testing place location, and date of cohort entrance. For each health condition evaluated, patients with evidence of that condition 18 months before cohort entrance were excluded from the denominator in order to identify incident cases. Each ratio compares the risk of the outcome in children who tested positive for SARS-CoV-2 infection versus those who tested negative. Footnote: The diagnostic cluster for COVID-19 indicates children receiving care for the illness in the post-acute period. Conclusion. In this large-scale, exploratory study, the burden of PASC in children appeared to be lower than earlier reports. Acute illness severity, young age, and comorbid complex chronic disease increased the risk of PASC. (Figure Presented).
ABSTRACT
Background: Adults and childrenwith cancer are susceptible to severe SARS-CoV-2 disease. Vaccination is protective;data beyond initial response and regarding effect of booster doses are lacking in cancer patients. Method(s): The SerOzNET study assesses SARS-CoV-2 vaccine response in haematological and solid cancer patients aged 5 and older. Patients are recruited pre dose 1 and receive standard BNT162b2 (Pfizer) or ChadOx1-S (AstraZeneca) vaccine. Blood is taken at baseline and after each dose. Neutralizing antibody (NAb) titre, absolute antibody titre (Abbott), T cell response (IFN-gamma) and epigenetics are analysed. Clinical data are collected. Patients are followed for up to 3 months beyond dose 5. Result(s): 105 children (64% haem, 36% solid cancers) and 399 adults (35% haem, 65% solid cancers) were enrolled. In adults, NAb response rate increased after dose 3 (Post 2: 40% haem, 87%solid;Post 3:70%haem,97%solid). Post dose 2, predictors of nonresponse were ChadOx1-S vaccine (OR 3 p = .02), haem cancer (OR 14 p < .001), ECOG >=1 (OR 2.6 p = .01) and steroids (OR 5 p = .01). Post dose 3, only haem cancer predicted non-response (OR 16). IFN-gamma response is available for a subset, detectable in 41/90 (46%) postdose 1, 78/96 (81%) post-dose 2 and 35/42 (83%) post-dose 3;without significant difference between haem and solid cancer. In children, NAb response post dose 2 is available for 50 patients. Response rate between haem (19/31, 61%) and solid patients (13/19, 68%) was similar. IFN-gamma response post dose 2 was also similar: (14/22, 63%) vs solid patients (12/14, 85%) (p = .25). Analysis is ongoing. Conclusion(s): Response to two doses of SARS-CoV-2 vaccine is suboptimal in patients with cancer. The third priming dose is integral, with significantly higher response rates observed. 36% of children did not develop neutralizing antibodies post dose 2;subsequent doses are likely to be important for young patients.