Displaying publications 61 - 80 of 922 in total

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  1. Teo A, Chua CLL, Chan LLY
    PLoS Pathog, 2022 Mar;18(3):e1010432.
    PMID: 35349597 DOI: 10.1371/journal.ppat.1010432
    Matched MeSH terms: Pandemics*
  2. Kanneganti A, Tan BYQ, Nik Ab Rahman NH, Leow AS, Denning M, Goh ET, et al.
    Singapore Med J, 2023 Nov;64(11):667-676.
    PMID: 35139631 DOI: 10.11622/smedj.2022014
    INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact in Asia and has placed significant burden on already stretched healthcare systems. We examined the impact of COVID-19 on the safety attitudes among healthcare workers (HCWs), as well as their associated demographic and occupational factors, and measures of burnout, depression and anxiety.

    METHODS: A cross-sectional survey study utilising snowball sampling was performed involving doctors, nurses and allied health professions from 23 hospitals in Singapore, Malaysia, India and Indonesia between 29 May 2020 and 13 July 2020. This survey collated demographic data and workplace conditions and included three validated questionnaires: the Safety Attitudes Questionnaire (SAQ), Oldenburg Burnout Inventory and Hospital Anxiety and Depression Scale. We performed multivariate mixed-model regression to assess independent associations with the SAQ total percentage agree rate (PAR).

    RESULTS: We obtained 3,163 responses. The SAQ total PARs were found to be 35.7%, 15.0%, 51.0% and 3.3% among the respondents from Singapore, Malaysia, India and Indonesia, respectively. Burnout scores were highest among respondents from Indonesia and lowest among respondents from India (70.9%-85.4% vs. 56.3%-63.6%, respectively). Multivariate analyses revealed that meeting burnout and depression thresholds and shifts lasting ≥12 h were significantly associated with lower SAQ total PAR.

    CONCLUSION: Addressing the factors contributing to high burnout and depression and placing strict limits on work hours per shift may contribute significantly towards improving safety culture among HCWs and should remain priorities during the pandemic.

    Matched MeSH terms: Pandemics*
  3. Westgate EC, Buttrick NR, Lin Y, El Helou G, Agostini M, Bélanger JJ, et al.
    Emotion, 2023 Dec;23(8):2370-2384.
    PMID: 36913277 DOI: 10.1037/emo0001118
    Some public officials have expressed concern that policies mandating collective public health behaviors (e.g., national/regional "lockdown") may result in behavioral fatigue that ultimately renders such policies ineffective. Boredom, specifically, has been singled out as one potential risk factor for noncompliance. We examined whether there was empirical evidence to support this concern during the COVID-19 pandemic in a large cross-national sample of 63,336 community respondents from 116 countries. Although boredom was higher in countries with more COVID-19 cases and in countries that instituted more stringent lockdowns, such boredom did not predict longitudinal within-person decreases in social distancing behavior (or vice versa; n = 8,031) in early spring and summer of 2020. Overall, we found little evidence that changes in boredom predict individual public health behaviors (handwashing, staying home, self-quarantining, and avoiding crowds) over time, or that such behaviors had any reliable longitudinal effects on boredom itself. In summary, contrary to concerns, we found little evidence that boredom posed a public health risk during lockdown and quarantine. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
    Matched MeSH terms: Pandemics/prevention & control
  4. Zaman R, Ravichandran V, Tan CK
    Phytother Res, 2024 Feb;38(2):1071-1088.
    PMID: 38168043 DOI: 10.1002/ptr.8096
    A sudden outbreak of the COVID-19 pandemic was a big blow to the world community on every level. Created by a novel coronavirus, SARS-CoV-2, which was previously unknown to the human immune system. The expert opinion almost immediately united on the fact that the most effective way of fighting the pandemic would be by building immunity artificially via a mass immunization program. However, it took about a year for the approval of the first vaccine against COVID-19. In the meantime, a big part of the general population started adapting nutritious diet plans and dietary supplements to boost natural immunity as a potential prophylactic strategy against SARS-CoV-2 infection. Whether they originate from mainstream medicine, such as synthetic supplements, or traditional herbal remedies in the form of single or poly-herbs, these supplements may comprise various components that exhibit immunomodulatory, anti-inflammatory, antioxidant, and antimicrobial characteristics. There is a substantial body of predictions and expert opinions suggesting that enhancing one's diet with dietary supplements containing additional nutrients and bioactive compounds like vitamins, minerals, amino acids, fatty acids, phytochemicals, and probiotics can enhance the immune system's ability to develop resistance against COVID-19, although none of them have any conclusive evidence nor officially recommended by World Health Organization (WHO). The current review critically acclaims the gap between public perception-based preference and real evidence-based study to weigh the actual benefit of dietary supplements in relation to COVID-19 prevention and management.
    Matched MeSH terms: Pandemics/prevention & control
  5. Mohd Anuar AH, Mohamad Anuar NN, Isa SNI, Bahari M
    Med J Malaysia, 2024 Mar;79(Suppl 1):88-95.
    PMID: 38555891
    INTRODUCTION: Several necessary initiatives have been made to create a readily available vaccine against the Coronavirus Disease 2019 (COVID-19) worldwide pandemic. However, the vaccination program's success is dependent on the population's willingness as well as their knowledge of vaccination. Hence, the present study aimed to assess the level of knowledge and acceptance towards the COVID-19 vaccine among the community in Johor Bahru, Johor.

    MATERIALS AND METHODS: A cross-sectional study was conducted using an online survey between February and May 2022, with 423 respondents. The questionnaire consisted of socio-demographic, assessment of knowledge level and acceptance level towards COVID-19 vaccine. The descriptive analysis and non-parametric tests were employed to investigate the study outline objectives.

    RESULTS: Of all 423 participants, 293 (69.3%) of the participants had a high level of knowledge about the COVID- 19 vaccine (median knowledge score 6; IQR = 3), and 239 (56.5%) were reported to have a low level of vaccine acceptance (median acceptance scores 4; IQR=2). The knowledge level towards the COVID-19 vaccine was significantly associated with the vaccine acceptance level (p<0.001).

    CONCLUSION: The community's level of knowledge towards COVID-19 vaccine was high; however, the vaccine acceptance was low.

    Matched MeSH terms: Pandemics/prevention & control
  6. Chiang CY, Islam T, Xu C, Chinnayah T, Garfin AMC, Rahevar K, et al.
    Eur Respir J, 2020 Oct;56(4).
    PMID: 32978310 DOI: 10.1183/13993003.03054-2020
    While COVID-19 has imposed great challenges to national tuberculosis programmes, it has also created opportunities to develop innovative strategies to ensure continuity of TB services and ultimately to strengthen TB care, prevention and control https://bit.ly/3bHDQx0
    Matched MeSH terms: Pandemics*
  7. Gudigar A, Raghavendra U, Nayak S, Ooi CP, Chan WY, Gangavarapu MR, et al.
    Sensors (Basel), 2021 Dec 01;21(23).
    PMID: 34884045 DOI: 10.3390/s21238045
    The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS-CoV-2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X-ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID-19 outbreak by assisting with early diagnosis. We carried out a systematic review on state-of-the-art AI techniques applied with X-ray, CT, and US images to detect COVID-19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID-19 pandemic.
    Matched MeSH terms: Pandemics*
  8. Chandran A, Selva Kumar S, Hairi NN, Low WY, Mustapha FI
    Front Public Health, 2021;9:698741.
    PMID: 34295873 DOI: 10.3389/fpubh.2021.698741
    In 2012, the World Health Organization (WHO) set a comprehensive set of nine global voluntary targets, including the landmark "25 by 25" mortality reduction target, and 25 indicators. WHO has also highlighted the importance of Non-Communicable Disease (NCD) surveillance as a key action by Member States in addressing NCDs. This study aimed to examine the current national NCD surveillance tools, activities and performance in Malaysia based on the WHO Global Monitoring Framework for NCDs and to highlight gaps and priorities moving forward. A desk review was conducted from August to October in 2020, to examine the current national NCD surveillance activities in Malaysia from multiple sources. Policy and program documents relating to NCD surveillance in Malaysia from 2010 to 2020 were identified and analyzed. The findings of this review are presented according to the three major themes of the Global Monitoring Framework: monitoring of exposure/risk factor, monitoring of outcomes and health system capacity/response. Currently, there is a robust monitoring system for NCD Surveillance in Malaysia for indicators that are monitored by the WHO NCD Global Monitoring Framework, particularly for outcome and exposure monitoring. However, Malaysia still lacks data for the surveillance of the health system indicators of the framework. Although Malaysia has an NCD surveillance in place that is adequate for the WHO NCD Global Monitoring Framework, there are areas that require strengthening. The country must also look beyond these set of indicators in view of the increasing burden and impact of the COVID-19 pandemic. This includes incorporating mental health indicators and leveraging on alternate sources of data relating to behaviors.
    Matched MeSH terms: Pandemics
  9. Setiawan HW, Pratiwi IN, Nimah L, Pawanis Z, Bakhtiar A, Fauzinigtyas R, et al.
    Inquiry, 2021 12 10;58:469580211060291.
    PMID: 34879719 DOI: 10.1177/00469580211060291
    COVID-19 pandemic raises various challenges faced by health workers in hospitals. This study explored strategies for overcoming challenges in caring for COVID-19 patients at hospitals in Indonesia based on healthcare workers' experience. In-depth interviews were employed with 28 healthcare workers (physicians and nurses) who were purposively sampled. Data were collected via phone and analysed using the Colaizzi method. Five following challenges were found: difficulties in working with personal protective equipment (PPE), offline training for handling Covid and using PPE not being implemented evenly for all health workers, physical and psychological fatigue, difficulties in carrying out health education and assessment towards patients and families, and limited resources to cope with the COVID-19 pandemic. Meanwhile, some barriers require support from the government, public and hospital managers. The information gained from research on the strategies for caring for COVID-19 patients can contribute to better preparedness for hospitals and health workers facing the COVID-19 pandemic.
    Matched MeSH terms: Pandemics
  10. Booi HN, Lee MK, Fung SY, Ng ST, Tan CS, Lim KH, et al.
    Int J Med Mushrooms, 2022;24(10):1-14.
    PMID: 36374826 DOI: 10.1615/IntJMedMushrooms.2022045068
    COVID-19 infection has been a key threat to the public health system globally, with an estimated 248 million cases worldwide. COVID-19 patients are subject to a higher risk of developing chronic respiratory disorders that are closely associated with long-term disability, multi-morbidity, and premature mortality. Although there have been recent advancements in respiratory treatment regimens, there has also been increased interest in the use of medicinal mushrooms in bridging the unaddressed pathways of action within the treatment algorithms. In this review, we provide a collection of medicinal mushrooms that are beneficial in promoting respiratory health and potentially reducing COVID-19 symptoms in patients who are newly diagnosed and those who have recovered. While reviewing the use of immunomodulatory pathways, which have shown promising results in tackling side effects and post-COVID syndromes, we also provide insights into how the antioxidant elements present in medicinal mushrooms help to achieve the same results, especially in the prophylactic and therapeutic management of COVID-19 infection. To date, medicinal mushrooms are regarded as a functional food, which, however, need further quality, safety, and efficacy assessments. These requirements are also highlighted in the present review to promote the future development and application of medicinal mushrooms for better respiratory health.
    Matched MeSH terms: Pandemics
  11. Thong KS, Seed HF
    Med J Malaysia, 2021 11;76(6):876-880.
    PMID: 34806676
    INTRODUCTION: The Optimal Health Program (OHP) is a collaborative self-management program that promotes clients to be actively involved in their own healthcare and overall wellbeing. Program Kesihatan Optimum (SANUBARI) is a Malay version of the OHP after a translational process and cultural adaptation by psychiatrists, clinical psychologist and family medicine specialists in 2017. The program is of a low intensity, patient-centred program, advocating self-health management to improve health literacy by enhancing self-efficacy, building strengths and values, and initiating change and planning, ultimately enhancing wellbeing of people. The programme can be used as a form of early psychosocial intervention during the current pandemic in maintaining the general mental wellbeing of COVID-19 patients.

    METHODS: This is an open labelled interventional study of a virtual brief psychosocial intervention, called SANUBARI. The program was conducted among COVID-19 patients hospitalized in the COVID-19 wards of two centres from May 2020 until August 2020. Inclusion criteria include patients aged eighteen years and above, diagnosed with COVID-19, medically stable, speaking and reading Bahasa Melayu or English. All study subjects attended two sessions on OHP via telecommunication method and answered questionnaires (General Self-Efficacy (GSE) Scale, Patient Health Questionnaire and Generalized Anxiety Disorder Questionnaire) via computer-assisted self-interview. Data collection was done before the start of the intervention, at the end of the intervention and a month post-intervention.

    RESULTS: A total of 37 patients were recruited and more than half of the subjects were males (62.2%), single (75.5%) and from the Malay ethnicity (78.4%). Seventy-three per cent of subjects had received tertiary education, and most of them were students reflecting a higher unemployment status (73%). Most subjects have no comorbid chronic medical illness (89.2%), and none has a comorbid psychiatric illness. Comparison of the GSE score across 3-time points (preintervention, immediate post-intervention and a month postintervention) showed statistically significant improvement in the mean total GSE score immediate and a month postintervention as compared to the pre-intervention; from mean total GSE score of 29.78 pre-intervention to 34.73 (mean difference 4.946, 95% Confidence Interval 95%CI: 3.361, 6.531) immediate post-intervention and 33.08 (mean difference 3.297, 95%CI: 1.211, 5.348) a month post intervention. There was no significant association between the socio-demographic or clinical data, depressive and anxiety symptoms, and changes in GSE scores over three time points.

    CONCLUSION: COVID-19 patients improved their self-efficacy levels after the virtual brief OHP intervention, and it maintained a month post-intervention, protecting them from psychological stress and ultimately enhances wellbeing during this coronavirus pandemic.

    Matched MeSH terms: Pandemics
  12. Su G, Ong HC, Ibrahim S, Fattah IMR, Mofijur M, Chong CT
    Environ Pollut, 2021 Jun 15;279:116934.
    PMID: 33744627 DOI: 10.1016/j.envpol.2021.116934
    The COVID-19 pandemic has exerted great shocks and challenges to the environment, society and economy. Simultaneously, an intractable issue appeared: a considerable number of hazardous medical wastes have been generated from the hospitals, clinics, and other health care facilities, constituting a serious threat to public health and environmental sustainability without proper management. Traditional disposal methods like incineration, landfill and autoclaving are unable to reduce environmental burden due to the issues such as toxic gas release, large land occupation, and unsustainability. While the application of clean and safe pyrolysis technology on the medical wastes treatment to produce high-grade bioproducts has the potential to alleviate the situation. Besides, medical wastes are excellent and ideal raw materials, which possess high hydrogen, carbon content and heating value. Consequently, pyrolysis of medical wastes can deal with wastes and generate valuable products like bio-oil and biochar. Consequently, this paper presents a critical and comprehensive review of the pyrolysis of medical wastes. It demonstrates the feasibility of pyrolysis, which mainly includes pyrolysis characteristics, product properties, related problems, the prospects and future challenges of pyrolysis of medical wastes.
    Matched MeSH terms: Pandemics
  13. Md Saleh NI, Ab Ghani H, Jilani Z
    Artif Intell Med, 2022 Oct;132:102394.
    PMID: 36207072 DOI: 10.1016/j.artmed.2022.102394
    Outbreaks of the COVID-19 pandemic caused by the SARS-CoV-2 infection that started in Wuhan, China, have quickly spread worldwide. The current situation has contributed to a dynamic rate of hospital admissions. Global efforts by Artificial Intelligence (AI) and Machine Learning (ML) communities to develop solutions to assist COVID-19-related research have escalated ever since. However, despite overwhelming efforts from the AI and ML community, many machine learning-based AI systems have been designed as black boxes. This paper proposes a model that utilizes Formal Concept Analysis (FCA) to explain a machine learning technique called Long-short Term Memory (LSTM) on a dataset of hospital admissions due to COVID-19 in the United Kingdom. This paper intends to increase the transparency of decision-making in the era of ML by using the proposed LSTM-FCA explainable model. Both LSTM and FCA are able to evaluate the data and explain the model to make the results more understandable and interpretable. The results and discussions are helpful and may lead to new research to optimize the use of ML in various real-world applications and to contain the disease.
    Matched MeSH terms: Pandemics
  14. Singh OP, Vallejo M, El-Badawy IM, Aysha A, Madhanagopal J, Mohd Faudzi AA
    Comput Biol Med, 2021 Sep;136:104650.
    PMID: 34329865 DOI: 10.1016/j.compbiomed.2021.104650
    Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-CoV-2 using complementary DNA, which is DNA synthesized from the single-stranded RNA virus. Herein, a total of 1582 samples, with different lengths of genome sequences from different regions, were collected from various data sources and divided into a SARS-CoV-2 and a non-SARS-CoV-2 group. We extracted eight biomarkers based on three-base periodicity, using DSP techniques, and ranked those based on a filter-based feature selection. The ranked biomarkers were fed into k-nearest neighbor, support vector machines, decision trees, and random forest classifiers for the classification of SARS-CoV-2 from other coronaviruses. The training dataset was used to test the performance of the classifiers based on accuracy and F-measure via 10-fold cross-validation. Kappa-scores were estimated to check the influence of unbalanced data. Further, 10 × 10 cross-validation paired t-test was utilized to test the best model with unseen data. Random forest was elected as the best model, differentiating the SARS-CoV-2 coronavirus from other coronaviruses and a control a group with an accuracy of 97.4 %, sensitivity of 96.2 %, and specificity of 98.2 %, when tested with unseen samples. Moreover, the proposed algorithm was computationally efficient, taking only 0.31 s to compute the genome biomarkers, outperforming previous studies.
    Matched MeSH terms: Pandemics
  15. van den Oever SR, Pluijm SMF, Skinner R, Glaser A, Mulder RL, Armenian S, et al.
    J Cancer Surviv, 2022 Dec;16(6):1390-1400.
    PMID: 35020136 DOI: 10.1007/s11764-021-01120-9
    PURPOSE: Long-term follow-up (LTFU) care is essential to optimise health outcomes in childhood cancer survivors (CCS). We aimed to assess the impact of the COVID-19 pandemic on LTFU services and providers.

    METHODS: A COVID-19 working group within the International Late Effects of Childhood Cancer Guideline Harmonization Group (IGHG) distributed a questionnaire to LTFU service providers in 37 countries across Europe, Asia, North America, Central/South America, and Australia. The questionnaire assessed how care delivery methods changed during the pandemic and respondents' level of worry about the pandemic's impact on LTFU care delivery, their finances, their health, and that of their family and friends.

    RESULTS: Among 226 institutions, providers from 178 (79%) responded. Shortly after the initial outbreak, 42% of LTFU clinics closed. Restrictions during the pandemic resulted in fewer in-person consultations and an increased use of telemedicine, telephone, and email consultations. The use of a risk assessment to prioritise the method of LTFU consultation for individual CCS increased from 12 to 47%. While respondents anticipated in-person consultations to remain the primary method for LTFU service delivery, they expected significantly increased use of telemedicine and telephone consultations after the pandemic. On average, respondents reported highest levels of worry about psychosocial well-being of survivors.

    CONCLUSIONS: The pandemic necessitated changes in LTFU service delivery, including greater use of virtual LTFU care and risk-stratification to identify CCS that need in-person evaluations.

    IMPLICATIONS FOR CANCER SURVIVORS: Increased utilisation of virtual LTFU care and risk stratification is likely to persist post-pandemic.

    Matched MeSH terms: Pandemics
  16. Ahmad Zaki R, Xin NZ
    Asia Pac J Public Health, 2023 Jan;35(1):62-64.
    PMID: 36341513 DOI: 10.1177/10105395221134655
    Matched MeSH terms: Pandemics
  17. Chen B, Zhao Y, Jin Z, He D, Li H
    BMC Infect Dis, 2023 Jan 13;23(1):25.
    PMID: 36639649 DOI: 10.1186/s12879-023-07984-9
    BACKGROUND: The ongoing coronavirus 2019 (COVID-19) pandemic has emerged and caused multiple pandemic waves in the following six countries: India, Indonesia, Nepal, Malaysia, Bangladesh and Myanmar. Some of the countries have been much less studied in this devastating pandemic. This study aims to assess the impact of the Omicron variant in these six countries and estimate the infection fatality rate (IFR) and the reproduction number [Formula: see text] in these six South Asia, Southeast Asia and Oceania countries.

    METHODS: We propose a Susceptible-Vaccinated-Exposed-Infectious-Hospitalized-Death-Recovered model with a time-varying transmission rate [Formula: see text] to fit the multiple waves of the COVID-19 pandemic and to estimate the IFR and [Formula: see text] in the aforementioned six countries. The level of immune evasion and the intrinsic transmissibility advantage of the Omicron variant are also considered in this model.

    RESULTS: We fit our model to the reported deaths well. We estimate the IFR (in the range of 0.016 to 0.136%) and the reproduction number [Formula: see text] (in the range of 0 to 9) in the six countries. Multiple pandemic waves in each country were observed in our simulation results.

    CONCLUSIONS: The invasion of the Omicron variant caused the new pandemic waves in the six countries. The higher [Formula: see text] suggests the intrinsic transmissibility advantage of the Omicron variant. Our model simulation forecast implies that the Omicron pandemic wave may be mitigated due to the increasing immunized population and vaccine coverage.

    Matched MeSH terms: Pandemics
  18. Saw LH, Leo BF, Nor NSM, Yip CW, Ibrahim N, Hamid HHA, et al.
    Environ Sci Pollut Res Int, 2021 Oct;28(38):53478-53492.
    PMID: 34036501 DOI: 10.1007/s11356-021-14519-9
    The COVID-19 pandemic has plunged the world into uncharted territory, leaving people feeling helpless in the face of an invisible threat of unknown duration that could adversely impact the national economic growths. According to the World Health Organization (WHO), the SARS-CoV-2 spreads primarily through droplets of saliva or discharge from the mouth or nose when an infected person coughs or sneezes. However, the transmission of the SARS-CoV-2 through aerosols remains unclear. In this study, computational fluid dynamic (CFD) is used to complement the investigation of the SARS-CoV-2 transmission through aerosol. The Lagrangian particle tracking method was used to analyze the dispersion of the exhaled particles from a SARS-CoV-2-positive patient under different exhale activities and different flow rates of chilled (cooling) air supply. Air sampling of the SARS-CoV-2 patient ward was conducted for 48-h measurement intervals to collect the indoor air sample for particulate with diameter less than 2.5 μm. Then, the reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) was conducted to analyze the collected air sample. The simulation demonstrated that the aerosol transmission of the SARS-CoV-2 virus in an enclosed room (such as a hospital ward) is highly possible.
    Matched MeSH terms: Pandemics
  19. McCoy D, Roberts S, Daoudi S, Kennedy J
    BMJ Glob Health, 2023 Sep;8(9).
    PMID: 37748796 DOI: 10.1136/bmjgh-2023-013067
    The past four decades have seen a steady rise of references to 'security' by health academics, policy-makers and practitioners, particularly in relation to threats posed by infectious disease pandemics. Yet, despite an increasingly dominant health security discourse, the many different ways in which health and security issues and actors intersect have remained largely unassessed and unpacked in current critical global health scholarship. This paper discusses the emerging and growing health-security nexus in the wake of COVID-19 and the international focus on global health security. In recognising the contested and fluid concept of health security, this paper presents two contrasting approaches to health security: neocolonial health security and universal health security. Building from this analysis, we present a novel heuristic that delineates the multiple intersections and entanglements between health and security actors and agendas to broaden our conceptualisation of global health security configurations and practices and to highlight the potential for harmful unintended consequences, the erosion of global health norms and values, and the risk of health actors being co-opted by the security sector.
    Matched MeSH terms: Pandemics
  20. Palaniappa MP, Diong NC, Benedict D, Amiruddin NMK, Narasimman S
    Med J Malaysia, 2023 Sep;78(5):570-573.
    PMID: 37775481
    INTRODUCTION: Thoracic surgery procedures evolved enormously over time from open surgery to video assisted thoracoscopic surgery (VATS) and now non-intubated uniportal VATS. At our centre, the initial approach for bullectomy was by uniportal intubated VATS (iVATS) for most cases. Only in mid-2020, in the midst of COVID-19 pandemic, uniportal non-intubated VATS (NiVATS) took precedence. We compared the outcome of bullectomy via iVATS versus NiVATS for a period of 5 years.

    MATERIALS AND METHODS: We reviewed the medical records of all patients that underwent bullectomy from 1st June 2017 to 31st May 2022. Mann Whitney U-test was completed for all variables. Primary objective was to compare operating time (OT), global operating time (GOT), post-operative length of stay (LOS) and complication rate.

    RESULTS: A total of 90 bullectomies performed in which 36 were approached via iVATS and 54 NiVATS. It was found that the post-operative LOS, GOT, and OT were significantly shorter in the NiVATS as compared to iVATS. Complication rate between both groups showed no significant difference.

    CONCLUSION: NiVATS bullectomy demonstrated a safe and reliable alternative surgical approach with superior surgical outcome than iVATS bullectomy.

    Matched MeSH terms: Pandemics
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