Pain experiences during intrauterine device procedures: a thematic analysis of tweets

INTRODUCTION

In June 2021, high-profile testimonials in the media about pain during intrauterine device (IUD) procedures in the UK prompted significant discussion across platforms including Twitter (subsequently renamed X). We examined a sample of Twitter postings (tweets) to gain insight into public perspectives and experiences.

METHODS

We harvested tweets posted or retweeted on 21-22 June 2021 which contained the search terms coil, intrauterine system, IUD or intrauterine. We analysed the dataset thematically and selected illustrative tweets with the authors' consent for publication.

RESULTS

Following deduplication and screening, we included 1431 tweets in our analysis. We identified testimonials with descriptions of varied pain experiences. Twitter users reported that clinicians had not warned them that pain could be severe or explained the options for pain relief. Some raised concerns about pain being minimised or dismissed and linked this to the management of women's pain in medicine more broadly. Twitter users described connecting to an online community with shared experiences as validating and used this as a springboard for collective action.

CONCLUSIONS

While we acknowledge the limitations of our sample, this study highlights important perspectives and accounts relating to pain during IUD procedures. Our findings attest to the need for strategies to improve the patient experience for those opting for IUD as a clinical priority. Further research should explore IUD users' experiences, expectations and wishes around pain management.

Exploring structural phase transition, electronic and optical characteristics of optoelectronic phosphides XSiP2 (X = Mg, Cd, and Zn) through First principle computation

CONTEXT

The present study reports the properties of pressure-induced phase transition, electronic and optical of phosphides XSiP2 under pressure in chalcopyrite, sodium chloride (rock salt), and Wurtzite phases. The study shows the chalcopyrite phase as the most stable phase among the other studied phases. The obtained structural parameters in the chalcopyrite and rock-salt phases reasonably agree with the literature. The computed band structures revealed a semiconductor behavior in chalcopyrite structure and metallic behavior for rock- salt and wurtzite structures. In the energy range of 0 to 30 eV, optical parameters such as the real and imaginary parts of the dielectric constant, refractive index, and reflectivity are calculated and compared with existing data. Our optical properties findings are predictive for the rock-salt and wurtzite phases. Since no results are available in the literature, these results may serve as references for other theoretical and experimental studies.

METHOD

The calculations are performed by employing the "full-potential linearized augmented plane wave (FP-LAPW) method within density functional theory (DFT)."

Gender, age and nationality differences in chronic kidney disease prevalence in the emirate of Abu Dhabi, UAE

AIM

We aimed to better understand the prevalence of chronic kidney disease in Abu Dhabi, UAE, where a very diverse ethnic population lives, each with their own risk profile.

METHODS

Data were analysed on all patients who were tested for serum creatinine in December 2019 for 4 years within our healthcare network. We analysed data for kidney disease by age, gender and nationality to study differences in prevalence and risk.

RESULTS

The entire cohort (EC) consisted 1 925 672 samples from 703 122 patients. 24% of patients had GFR < 90 mL/min/1.73 m2 (CKD2-5), 4% had more severe kidney dysfunction (CKD3-5) and 2% had UACR >3 mg/mmol and with GFR > 90 (CKD1). The long follow-up (LFU) group comprised 45.6% of patients who had eGFR on at least two occasions more than 90 days apart, and of these 19.5% had sustained eGFR <90, and 5.2% had CKD3-5. Males had lower eGFR than females in the EC (RR 1.68) and the LFU group (RR 1.76). Emirati Females had the lowest prevalence in the EC (2.9%) and expatriate females in the LFU (3.5%) groups. The relative risks of CKD in expatriate males were highest in the EC (2.14) and the LFU (2.39) groups. When we looked at the age distribution by nationality there were highly significant differences in some populations being highly represented at younger ages.

CONCLUSION

The prevalence of kidney disease in Abu Dhabi has a male predominance, with younger expatriates highly represented. A targeted strategy to identify those at high risk may identify early CKD to prevent progression to end-stage kidney disease.

The Influence of Joe Wicks on Physical Activity During the COVID-19 Pandemic: Thematic, Location, and Social Network Analysis of X Data

BACKGROUND

 Social media (SM) was essential in promoting physical activity during the COVID-19 pandemic, especially among people confined to their homes. Joe Wicks, a fitness coach, became particularly popular on SM during this time, posting daily workouts that millions of people worldwide followed.

OBJECTIVE

 This study aims to investigate the influence of Joe Wicks on SM and the impact of his content on physical activity levels among the public.

METHODS

 We used NodeXL Pro (Social Media Research Foundation) to collect data from X (formerly Twitter) over 54 days (March 23, 2020, to May 15, 2020), corresponding to the strictest lockdowns in the United Kingdom. We collected 290,649 posts, which we analyzed using social network analysis, thematic analysis, time-series analysis, and location analysis.

RESULTS

 We found that there was significant engagement with content generated by Wicks, including reposts, likes, and comments. The most common types of posts were those that contained images, videos, and text of young people (school-aged children) undertaking physical activity by watching content created by Joe Wicks and posts from schools encouraging pupils to engage with the content. Other shared posts included those that encouraged others to join the fitness classes run by Wicks and those that contained general commentary. We also found that Wicks' network of influence was extensive and complex. It contained numerous subcommunities and resembled a broadcast network shape. Other influencers added to engagement with Wicks via their networks. Our results show that influencers can create networks of influence that are exhibited in distinctive ways.

CONCLUSIONS

Our study found that Joe Wicks was a highly influential figure on SM during the COVID-19 pandemic and that his content positively impacted physical activity levels among the public. Our findings suggest that influencers can play an important role in promoting public health and that government officials should consider working with influencers to communicate health messages and promote healthy behaviors. Our study has broader implications beyond the status of fitness influencers. Recognizing the critical role of individuals such as Joe Wicks in terms of health capital should be a critical area of inquiry for governments, public health authorities, and policy makers and mirrors the growing interest in health capital as part of embodied and digital experiences in everyday life.

Traumatic bilateral neck of femur fracture in paediatric age: A case report and review of literature

Bilateral femoral neck fractures are rare, and only a few cases have been reported following major trauma in children. An 8-year-old male patient presented with pain both hips and inability to bear weight on his lower limbs, four days after he fell through a roof while playing. The anteroposterior pelvic radiograph showed a displaced transcervical fracture of the right femoral neck and an undisplaced transcervical fracture of the left femoral neck. Operative fixation of both hips with cannulated cancellous screws done on the 5th day of injury led to a successful outcome. This case is presented due to its rarity and successful outcome despite a late presentation.

Social media ambassadors and collaboration with OncoAlert: a European Network of Young Gynae Oncologists study of comparative Twitter analysis of #ESGO2021 and #ESGO2022

OBJECTIVE

The primary objective was to reveal the impact of social media ambassadors and the collaboration between the European Society of Gynaecological Oncology (ESGO) and the OncoAlert Network on Twitter during the ESGO 2022 Congress by comparing it with the ESGO 2021 Congress. We also aimed to share our experience on how to organize a social media ambassador program and evaluate the potential benefits for the society and the ambassadors.

METHODS

We defined the impact as promoting the congress, sharing the knowledge, change in follower count, and change in tweet, retweet, and reply counts. We used the Academic Track Twitter Application Programming Interface to retrieve data from ESGO 2021 and ESGO 2022. We used the keywords of ESGO2021 and ESGO2022 to retrieve data for each of the conferences. The time range in our study captured interactions from before, during, and after conferences. We collected the ambassadors', ESGO's, and the European Network of Young Gynae Oncologists' (ENYGO's) follower data on Twitter from November 2021 to November 2022 for comparative analysis.

RESULTS

There was a 7.23-fold increase in the use of the official congress hashtag in 2022 compared with 2021. Compared with #ESGO2021 data, the main interventions of the Social Media Ambassadors and OncoAlert partnership determined 7.79-, 17.36-, 5.50-, 10.58-, and 8.50-fold increases with #ESGO2022 data in the mentions, mentions in retweet, tweet, retweet, and replies, respectively. Similarly, all other most commonly used hashtags in the top 10 list indicated a range from 2.56- to 7.00-fold increase. Compared to the ESGO 2021 congress month, ESGO and the majority (83.3%, n=5) of ambassadors gained more followers during ESGO 2022 congress month.

CONCLUSIONS

An official social media ambassadors program and collaboration with influential accounts in the field of interest are beneficial for congress-related engagement on a social media platform (Twitter). Individuals participating in the program can also benefit from gaining higher visibility among specific audience.

Analysis of exhaled breath to identify critically ill patients with ventilator-associated pneumonia

Ventilator-associated pneumonia commonly occurs in critically ill patients. Clinical suspicion results in overuse of antibiotics, which in turn promotes antimicrobial resistance. Detection of volatile organic compounds in the exhaled breath of critically ill patients might allow earlier detection of pneumonia and avoid unnecessary antibiotic prescription. We report a proof of concept study for non-invasive diagnosis of ventilator-associated pneumonia in intensive care (the BRAVo study). Mechanically ventilated critically ill patients commenced on antibiotics for clinical suspicion of ventilator-associated pneumonia were recruited within the first 24 h of treatment. Paired exhaled breath and respiratory tract samples were collected. Exhaled breath was captured on sorbent tubes and then analysed using thermal desorption gas chromatography-mass spectrometry to detect volatile organic compounds. Microbiological culture of a pathogenic bacteria in respiratory tract samples provided confirmation of ventilator-associated pneumonia. Univariable and multivariable analyses of volatile organic compounds were performed to identify potential biomarkers for a 'rule-out' test. Ninety-six participants were enrolled in the trial, with exhaled breath available from 92. Of all compounds tested, the four highest performing candidate biomarkers were benzene, cyclohexanone, pentanol and undecanal with area under the receiver operating characteristic curve ranging from 0.67 to 0.77 and negative predictive values from 85% to 88%. Identified volatile organic compounds in the exhaled breath of mechanically ventilated critically ill patients show promise as a useful non-invasive 'rule-out' test for ventilator-associated pneumonia.

Analysing Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory Using Social Network Analysis

BACKGROUND

The popularity of the magnetic vaccine conspiracy theory, and others of a similar nature, creates challenges to promoting vaccines and disseminating accurate health information.

OBJECTIVE

Health conspiracy theories are gaining in popularity. The study's objective was to evaluate the Twitter social media network related to the magnetic vaccination conspiracy theory and to apply social capital theory to analyse the unique social structures of influential users. As a strategy for online public health surveillance, we employ social network analysis to identify the important opinion leaders sharing the conspiracy, the key websites, and the narratives.

METHODS

A total of 18,706 tweets were retrieved and analysed using social network analysis. Data were retrieved from June 01 to June 13 (2021) using the keyword 'vaccine magnetic'. Tweets were retrieved via a dedicated Twitter Application Programming Interface (API). More specifically, the Academic Track API was used, and the data were analysed using NodeXL Pro and Gephi.

RESULTS

There were a total of 22,762 connections between Twitter users within the dataset. The study found that the most influential user within the network consisted of a news account that was reporting on the conspiracy. There were also several other users that became influential such as an epidemiologist, a health economist, and a retired sports athlete who exerted their social capital within the network.

CONCLUSIONS

Our study finds that influential users were effective broadcasters against the conspiracy, and their reach extended beyond their own network of Twitter followers. We emphasise the need for trust in contact with influential users concerning health information, particularly in the context of widespread social uncertainty resulting from the pandemic, when public sentiment on social media may be unpredictable. The study highlights the potential of influential users to disrupt information flows of conspiracy theories due to their unique social capital.

CLINICALTRIAL

Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter Data

Background

Individuals from rural areas are increasingly using social media as a means of communication, receiving information, or actively complaining of inequalities and injustices.

Objective

The aim of our study is to analyze conversations about rural health taking place on Twitter during a particular phase of the COVID-19 pandemic.

Methods

This study captured 57 days' worth of Twitter data related to rural health from June to August 2021, using English-language keywords. The study used social network analysis and natural language processing to analyze the data.

Results

It was found that Twitter served as a fruitful platform to raise awareness of problems faced by users living in rural areas. Overall, Twitter was used in rural areas to express complaints, debate, and share information.

Conclusions

Twitter could be leveraged as a powerful social listening tool for individuals and organizations that want to gain insight into popular narratives around rural health.

How to Use the Six-Step Digital Ethnography Framework to Develop Buyer Personas: The Case of Fan Fit

BACKGROUND

One of the key features of digital marketing is customer centricity, which can be applied to the domain of health. This is expressed through the ability to target specific customer segments with relevant content using appropriate channels and having data to track and understand each interaction. In order to do this, marketers create buyer personas based on a wide spectrum of quantitative and qualitative data. Digital ethnography is another established method for studying web-based communities. However, for practitioners, the complexity, rigor, and time associated with ethnographical work are sometimes out of reach.

OBJECTIVE

This paper responds to the gaps in the practically focused method of using social media for digital ethnography to develop buyer personas. This paper aims to demonstrate how digital ethnography can be used as a way to create and refine buyer personas.

METHODS

Using a case study of the Fan Fit smartphone app, which aimed to increase physical activity, a digital ethnography was applied to create a better understanding of customers and to create and refine buyer personas.

RESULTS

We propose two buyer personas, and we develop a 6-step digital ethnography framework designed for the development of buyer personas.

CONCLUSIONS

The key contribution of this work is the proposal of a 6-step digital ethnography framework designed for the development of buyer personas. We highlight that the 6-step digital ethnography could be a robust tool for practitioners and academicians to analyze digital communications for the process of creating and updating data-driven buyer personas to create deeper insights into digital and health marketing efforts.

Ecosystem Services: A Social and Semantic Network Analysis of Public Opinion on Twitter

Social media data reveal patterns of knowledge, attitudes, and behaviours of users on a range of topics. This study analysed 4398 tweets gathered between 17 January 2022 and 3 February 2022 related to ecosystem services, using the keyword and hashtag "ecosystem services". The Microsoft Excel plugin, NodeXL was used for social and semantic network analysis. The results reveal a loosely dense network in which information is conveyed slowly, with homogeneous, medium-sized subgroups typical of the community cluster structure. Citizens, NGOs, and governmental administrations emerged as the main gatekeepers of information in the network. Various semantic themes emerged such as the protection of natural capital for the sustainable production of ecosystem services; nature-based solutions to protect human structures and wellbeing against natural hazards; socio-ecological systems as the interaction between human beings and the environment; focus on specific services such as the storage of atmospheric CO₂ and the provision of food. In conclusion, the perception of social users of the role of ecosystem services can help policymakers and forest managers to outline and implement efficient forest management strategies and plans.

Plasma-Assisted Synthesis of Surfactant-Free and D-Fructose-Coated Gold Nanoparticles for Multiple Applications

The excellent optical properties of gold nanoparticles (AuNPs) make them promising for numerous applications. Herein, we present a facile synthesis of both surfactant-free (SF-AuNPs) and non-toxic D-fructose (DF)-coated gold nanoparticles (DF-AuNPs) via the plasma-liquid interactions (PLIs) method. Moreover, we demonstrate that both SF-AuNPs and DF-AuNPs are potential candidates for trace detection via surface-enhanced Raman scattering (SERS) and catalytic degradation of toxic dyes. However, SF-AuNPs have superior SERS and catalytic performance compared to the DF-AuNPs due to their surfactant-free nature. Moreover, SF-AuNPs have also been shown to quench the fluorescence of analyte molecules, making their SERS-based trace detection more efficient. In particular, SERS enhancement of rhodamine 6G (R6G) and catalytic reduction of a toxic dye methylene blue (MB) have been explored.

The #VaccinesWork Hashtag on Twitter in the Context of the COVID-19 Pandemic: Network Analysis

Background

Vaccination is one of the most successful public health interventions for the prevention of COVID-19. Toward the end of April 2021, UNICEF (United Nations International Children’s Emergency Fund), alongside other organizations, were promoting the hashtag #VaccinesWork.

Objective

The aim of this paper is to analyze the #VaccinesWork hashtag on Twitter in the context of the COVID-19 pandemic, analyzing the main messages shared and the organizations involved.

Methods

The data set used in this study consists of 11,085 tweets containing the #VaccinesWork hashtag from the 29th to the 30th of April 2021. The data set includes tweets that may not have the hashtag but were replies or mentions in those tweets. The data were retrieved using NodeXL, and the network graph was laid out using the Harel-Koren fast multiscale layout algorithm.

Results

The study found that organizations such as the World Health Organization, UNICEF, and Gavi were the key opinion leaders and had a big influence on the spread of information among users. Furthermore, the most shared URLs belonged to academic journals with a high impact factor. Provaccination users had other vaccination-promoting hashtags in common, not only in the COVID-19 scenario.

Conclusions

This study investigated the discussions surrounding the #VaccinesWork hashtag. Social media networks containing conspiracy theories tend to contain dubious accounts leading the discussions and are often linked to unverified information. This kind of analysis can be useful to detect the optimal moment for launching health campaigns on Twitter.

A Retrospective Audit of Demography and Different Surgical Modalities Adopted for Giant Cell Tumor of Bone in Eastern India

Background and objective

There is scarce data on demography and different surgical treatment modalities for giant cell tumor of bone (GCTB) from eastern India. In light of this, the present study aimed to examine the demographic characteristics, different surgical treatment modalities, and recurrence rate of GCTB at a tertiary care institute in Bihar.

Materials and methods

A retrospective audit of 52 GCTB patients who were treated at the center from January 2016 to December 2020 was conducted. The minimum follow-up period was one year. GCTB patients underwent surgical procedures ranging from extended intralesional curettage with bone graft or bone cement with or without fixation to wide local excision to resection with or without reconstruction or amputation depending on the stage and site of the tumors.

Results

The mean age of patients was 31.86 years (range: 13-67 years). The distal femur (20 patients, 38.46%) and proximal tibia (11 patients, 21.15%) were the most common sites of the tumor. Sixty-eight confirmed cases (male: 32, female: 36) of GCTB were operated on, with a male-to-female ratio of 1:1.125. Sixteen patients (four males and 12 females) were lost to follow-up. So, the final study consisted of 52 patients with a median age of 28 years (first quartile: 24 years, third quartile: 38 years). The majority of patients (32 patients, 61.53%) were in the third and fourth decades of life.

Conclusion

Based on this retrospective audit, it is concluded that the knee region is the most common site of GCTB. Surgery is the mainstay of management. Most of the patients came under Campanacci Grade 3 with low compliance with follow-up and adherence to the treatment. Hence, educational programs, the establishment of early detection centers, and timely referral to expert treatment are necessary.

A Retrospective Cohort Analysis of Limb Salvage Surgery Using Mega Prosthesis in Bone Tumours at a Tertiary Care Centre in Eastern India

Background

The method known as "limb salvage surgery" (LSS) aids in the removal of extremity tumours, and reconstruction is completed with satisfactory oncologic, functional, and cosmetic outcomes. Oncologic clearance is given first priority, followed by functional outcomes. Worldwide, the trend has already shifted away from amputations and toward limb salvage surgery for eligible patients due to efficient chemotherapy regimens, improved imaging techniques, precise administration of enhanced radiation, better reconstructive choices, and developments in bio-engineering. The purpose of the present study was to determine the clinicopathological characteristics, surgical techniques, functional outcome, and prognostic factors of limb salvage surgery performed using mega prosthesis in primary malignant or benign resectable tumours.

Methods

Our retrospective cohort study was carried out over a period of two years and included 28 patients who received care for bone tumours. The data gathered comprised the demographic profile, clinical characteristics, histological characteristics, treatments given, functional results, and survival. LSS was performed on all patients by orthopaedics oncologists trained in the surgical oncology department. Following surgery, during the first two years, patients were examined at every three-month interval, then every six months until the fifth year, and then once a year after that. The Kaplan-Meier method was utilized to determine the median follow-up and recurrence-free survival (RFS).

Results

In our study, the mean age of study subjects was 30.0±10.9 years. Almost all of the subjects included in the study had lower limb bone tumours (96.4%). The most common site for the tumour was the distal femur (57.1%) followed by the proximal femur (32.2%). The most common type of benign tumour was giant cell tumour (GCT) (53.6%), including recurrences of giant cell tumour (GCT), and among malignant tumours, osteosarcoma was the most common (25.0%). The mean surgical resection of bone in limb salvage surgery was 125.2±24.2 mm. The most common post-operative complication was leg length discrepancy (LLD) among 25.0% of subjects, which was managed by shoe raise. The overall mean musculoskeletal tumour society (MTSS) score after LSS was 25.0±4.3. Using the Kaplan-Meier method analysis, we found that relapse-free survival was 83.7% among enrolled subjects at a median follow-up period of 80 months.

Conclusion

It can be difficult to surgically treat patients who have malignant bone tumours. In limb-sparing surgery for bone tumours, the modular segmental-replacement system prosthesis that we preferred produced satisfactory results in terms of tumour control and limb function. To get good long-term results, the case selection must be appropriate.

Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study

Background: The last decade has seen a dramatic shift toward the study of fitness surveillance, thanks in part to the emergence of mobile health (mHealth) apps that allow users to track their health through a variety of data-driven insights. This study examines the adoption trends and community mediation of the mobile fitness application ‘FanFit’, a platform aimed at promoting physical activity among sports fans by creating a fitness app branded to their favourite team for health promotion. Objective: Our study looked at the impact of a specially designed mobile app (FanFit) as a digital health intervention for initiating and maintaining physical activity as part of football club membership. Our analysis indicates that app users will adopt healthier behaviours as a result of the app’s sense of fan community and behaviour change. Methods: The findings reported here are based on an implementation of the FanFit app and, in particular, on those who participated in a more in-depth study (n = 30). These participants were Rangers FC supporters with a mix of genders (n = 19 males and n = 11 females). Focus groups and interviews were conducted with participants to ascertain users’ perspectives on the most effective methods for nudging users toward adopting and maintaining a pattern of fitness behaviours. Results: The findings show that the user community was interested in fitness and wanted to live a ‘healthy lifestyle,’ which was augmented and fuelled by the app’s competitive architecture design. Furthermore, the data reveal a new fan-health discourse about a person’s developing wants, talents, and identities as embodied beings. Conclusions: We have developed and presented valid links between the use of sports club apps and health programmes. The app could be useful for sports programmes and club providers looking for mHealth applications that provide community support through fan discourse with opportunities for both male and female fans.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

The impact of COVID-19 pandemic on type A aortic dissection care

Funding Acknowledgements

Type of funding sources: None.

Introduction

COVID-19 created a challenging situation for cardiac surgery and associated acute care programs around the world. While non-urgent cases might be postponed, operating on life-threatening conditions, including type A aortic dissection (TAAD), must be sustained despite the ongoing pandemic. Therefore, we investigated the impact of the COVID-19 pandemic on our urgent aortic program.

Methods

36 individuals presenting with TAAD in a single centre were analysed from the pre-pandemic period (2019, n=16) and the pandemic era (2020, n=20). Retrospective data review was conducted on patient characteristics, TAAD presenting symptoms, operative techniques, postoperative outcomes and length of stay. A comparison was made between both eras applying appropriate testing methods, and a p-value <0.05 was considered statistically significant.

Results

A 25% increase in TAAD referrals occurred during the pandemic era. Patients were featured by younger age of presentation in contrast to Western data (pre-pandemic group: 47.6 ± 18.7, and the pandemic group: 50.6 ± 16.2 years, p=0.6) but showed similar male predominance (4:1) in both groups. There was no statistical difference in baseline comorbidities between the groups. Length of hospital and intensive care unit stays were comparable between both groups. Low rates of postoperative complications were registered in both groups with no significant between-group difference.

Conclusion

Emergent surgical management remains essential in patients with TAAD regardless of the pandemic. Furthermore, temporary structural departmental re-configuration and optimal personal protective equipment utilisation warrant maintained satisfactory outcomes in such critical healthcare scenarios.

Predictors of non-invasive ventilation failure in adult patients with cardiac dysfunction presenting with community acquired pneumonia; an Egyptian multicenter prospective study

Funding Acknowledgements

Type of funding sources: None.

Background

Non-invasive ventilation (NIV) might be successful if properly selected in adult patients with cardiac dysfunction presenting with community acquired pneumonia. The main objective was to identify contributing factors to NIV failure.

Methods

All adult patients with LV EF less than 50% admitted to the ICU with community acquired pneumonia and acute respiratory failure were enrolled in our multicenter prospective study after getting informed consents . The study was registered and given a number (ID ISRCTN14641518). Non-invasive ventilation failure was defined as requirement of intubation after institution of NIV intervention.

Results

We prospectively enrolled 177 patients between February 2019 to July 2020. Fifty-three patients (29.9%) were considered failed NIV. The mean age of studied patients was 64.1±12.6 years with a male predominance (73.4%) and a mean left ventricle EF of 36.4±7.8%. There were insignificant differences between the NIV success and NIV failure groups regarding the underlying morbidities nor the inflammatory markers. The patients who failed NIV were significantly older with higher mean SOFA and APACHE II scores compared to the patients with succeeded NIV. Non-invasive Ventilation failure was associated with longer ICU stay (p&lt;0.001), higher SOFA at 48 hours (p&lt;0.001) and higher mortality (p&lt;0.001) compared to the NIV success group. NIV failure was independently predicted with APACHE II (OR:1.420, p 0.01, 95% CI:1.224 – 1.647), SOFA (OR:17.6 , p &lt;0.001, 95% CI: 4.148-74.68), baseline HACOR (OR:2.041, P 0.026, 95% CI:1.225 –3.401), lung ultrasound score (OR:1.209,P 0.017,95% CI:1.014–1.441) and blood lactate (OR:9.702,P &lt;0.001,95%CI:1.357–69.37).Conclusion: High initial APACHE II and SOFA scores , hindered lactate clearance as well as non-decrementing patterns of HACOR and LUS scores were associated with early NIV failure in patients with heart failure presenting with community acquired pneumonia.

Coronavirus Disease 2019 Infection and ABO Blood Groups in a Hemodialysis Cohort in the United Arab Emirates

Some epidemiological data have implicated blood groups in susceptibility to coronavirus disease 2019 (COVID-19) infection. We were interested to see if there was any apparent effect of different ABO blood groups on susceptibility to COVID-19 infection in unvaccinated hemodialysis (HD) patients, as they had a high rate of mortality from this infection. Blood group O has been suggested to be protective against COVID-19 infection; however, since the ABO frequency is affected by ethnicity, we looked at infection frequency and blood group and corrected the expected frequency for the ethnicity of our cohort. We examined 249 HD patients presenting with a positive COVID-19 polymerase chain reaction regarding their ABO blood group and compared the ABO frequencies with published data for the United Arab Emirates (UAE), as well as international and historical ABO data on dialysis frequency. Although there was an apparent protective effect of blood group O when we compared blood group frequencies with the UAE data, this disappeared when corrected for ethnicity. We concluded that any association of the ABO blood group with COVID-19 infection is unlikely to be of major importance and should not be used to reassure patients that they are mildly protected against COVID-19 without vaccination.

A Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

After the first weeks of vaccination against SARS-CoV-2, several cases of acute thrombosis were reported. These news reports began to be shared frequently across social media platforms. The aim of this study was to conduct an analysis of Twitter data related to the overall discussion. The data were retrieved from 14 March to 14 April 2021 using the keyword 'blood clots'. A dataset with n = 266,677 tweets was retrieved, and a systematic random sample of 5% of tweets (n = 13,334) was entered into NodeXL for further analysis. Social network analysis was used to analyse the data by drawing upon the Clauset-Newman-Moore algorithm. Influential users were identified by drawing upon the betweenness centrality measure. Text analysis was applied to identify the key hashtags and websites used at this time. More than half of the network comprised retweets, and the largest groups within the network were broadcast clusters in which a number of key users were retweeted. The most popular narratives involved highlighting the low risk of obtaining a blood clot from a vaccine and highlighting that a number of commonly consumed medicine have higher blood clot risks. A wide variety of users drove the discussion on Twitter, including writers, physicians, the general public, academics, celebrities, and journalists. Twitter was used to highlight the low potential of developing a blood clot from vaccines, and users on Twitter encouraged vaccinations among the public.

Binge Watching and the Role of Social Media Virality towards promoting Netflix’s Squid Game

The management literature has extensively studied viral marketing in the last decade; however, there is a lack of research in understanding network structures and the role of influencers within popular cultural consumption, such as on-demand digital media and binge-watching. In this article, we investigate the role of social media in popularising the East Asian dystopian cultural drama Squid Game. We studied this phenomenon by analysing social network structures, dynamics and influencer characteristics that transformed Squid Game into a popular global digital cultural consumption sensation. Stemming from the foundational theories of popular culture binge-watching, network theory and the social media echo chamber effect, we demonstrate how careful ‘seeding’ and ‘broadcasting’ behaviour adopted by Netflix and key influencers helped the ‘reciprocal merging’ of creative media content within the broader social media space. Our study found that 13,727 Twitter users were tweeting or mentioned on the day show was released. Our research findings further present the characteristic of individual group-based echo chambers and their role in value co-creation towards expanding the network boundary through e-WOM. This phenomenon led to the show’s unprecedented popularity amongst a global audience within a short period. Contributions of our work expand viral marketing and echo-chamber concepts into the binge-watching and popular digital culture realm, where the interplay between dramatized Asian and Western dystopian social norms provided the very fabric of user-led promotion and value co-creation.