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  • Patient experiences with a smartphone application dedicated to postoperative recovery after elective arthroplasty

    Gomaa, Abdul-Rahman; Raja, Momna Sajjad; Monteiro, Sara; Srinivasan, Sriram (Journal of Clinical Orthopaedics and Trauma, 2024-12)
    Introduction In the rapidly evolving landscape of digital health technologies, the widespread use of smartphones has paved the way for innovative applications designed to enhance healthcare experiences. This introduction underscores the global prevalence of smartphone users and their potential in healthcare, particularly exemplified by therapeutic apps such as the ‘Post Op’ smartphone application. Focused on postoperative support, this app prioritises user-friendly design, data recording, and adherence to national standards. The study aims to evaluate the app's success in achieving these objectives, highlighting its continuous improvement based on real user feedback and its potential impact on improving patient experiences and recovery processes. Methods and materials A cohort of elective joint arthroplasty procedure patients at Kettering General Hospital (KGH), spanning a timeframe of one to 12 months post-surgery were surveyed over the telephone regarding their experience of the ‘Post Op’ smartphone utilising a custom, well-structured standardised questionnaire. Results The study surveyed 42 consecutive patients who had undergone elective joint arthroplasty procedures at Kettering General Hospital, including 22 total hip replacement (THR) and 20 total knee replacement (TKR) patients. The respondents, with a median age of 66 years, provided overwhelmingly positive feedback about the ‘Post Op’ smartphone application. On a scale of 1–6, the mean ease-of-use score was 5.31, with only two THR patients providing lower scores due to difficulties with photography. However, the app's overall functionality, particularly in uploading photos, received a mean score of 4.78. Despite some technical issues, 97.6 % of respondents would recommend the app, emphasising its positive impact on confidence in the recovery and reducing unnecessary healthcare visits. Narrative responses highlighted the app's simplicity, support, and prompt communication with healthcare teams. Overall, the feedback indicates a high level of satisfaction with the ‘Post Op’ application among elective arthroplasty patients, showcasing its potential benefits for postoperative care. Conclusion The study provides valuable insights into the impact of the ‘Post Op’ smartphone application on postoperative care, acknowledging both its successes and areas for enhancement. Further research and iterative improvements are crucial for optimizing patient experiences and ensuring the app aligns effectively with healthcare needs.
  • Patellofemoral joint is an under reported joint in MRI knee - A retrospective, cross-sectional study

    Khajuria, Arun; Shah, Amit; Khajuria, Ankur; Botchu, Rajesh (Annals of Medicine and Surgery, 2017-02-04)
    Background: Patellofemoral joint (PFJ) pathology accounts for upto 40% of cases of knee pain. It has been suggested that PFJ pathology may be underreported in Magnetic Resonance Imaging (MRI) Knee reports. The objective of this study was to elucidate whether PFJ was reported in MRI knee reports at our institution. Materials and methods: A retrospective review of 103 consecutive Knee MRIs over a 2-month period was performed by an author, blinded to the reports, at our institution. We analysed whether PFJ was mentioned in MRI knee reports and whether any significant PFJ pathology was present in the scans of this cohort. Images were also reviewed for any underlying causes of PFJ pathology such as trochlear dysplasia (TD) that can result in patellar instability or maltracking. Results: PFJ was not mentioned in 79/103 cases (77%). 24 cases had trochlear dysplasia. There was no association between PFJ reporting and trochlear dysplasia (p value = 0.50). Conclusion: PFJ is not mentioned in the majority of Knee MRI reports. PFJ pathology is an important cause of anterior knee and should be reported.
  • Impact of COVID-19 on colorectal cancer early diagnosis pathway: retrospective cohort study

    M Abdellatif; Y Salama; T Alhammali; A M Eltweri (The British Journal of Surgery, 2021-04-30)
    Background Capsular contracture after implant-based breast reconstruction is not an uncommon problem and affects reconstruction outcomes. It can be influenced by various factors, such as the plane of implant placement, implant surface and implant type. This systematic review and meta-analysis aimed to evaluate how the abovementioned risk factors can affect capsular contracture rates. Methods A systematic review and meta-analysis was performed. PubMed MEDLINE, EMBASE (OvidSP) and Cochrane Library were searched. Comparison groups included subpectoral versus prepectoral implant placement, smooth versus textured implants and saline versus silicone implants. Odds ratios (ORs) were calculated for capsular contracture for each group. The level of evidence was evaluated using the Oxford Centre for Evidence-Based Medicine. Results Twenty-three studies met the inclusion criteria. Sixteen studies compared subpectoral versus prepectoral implant placement, with no statistically significant differences in capsular contracture rates [OR, 1.21; 95% confidence interval (95% CI), 0.75–1.95; P = 0.44]. Five studies compared smooth versus textured implants, with no statistically significant differences in capsular contracture rates (OR, 0.99; 95% CI, 0.50–1.93; P = 0.97). Two studies compared saline versus silicone implants for capsular contracture. Patients receiving saline implants had significantly lower capsular contracture rates than silicone implants (OR, 0.19; 95% CI, 0.08–0.43; P < 0.0001). Conclusions Implant-based breast reconstruction using saline implants demonstrated reduced capsular contracture rates compared to silicone implants. However, no significant differences were observed in capsular contracture rates between subpectoral versus prepectoral implant placement and smooth versus textured implants.
  • Artificial intelligence for ventricular arrhythmia capability using ambulatory electrocardiograms

    Barker, Joseph; Li, Xin; Kotb, Ahmed; Mavilakandy, Akash; Antoun, Ibrahim; Thaitirarot, Chokanan; Koev, Ivelin; Man, Sharon; Schlindwein, Fernando S; Dhutia, Harshil; et al. (European Heart Journal., 2024-01-30)
    Aims: European and American clinical guidelines for implantable cardioverter defibrillators are insufficiently accurate for ventricular arrhythmia (VA) risk stratification, leading to significant morbidity and mortality. Artificial intelligence offers a novel risk stratification lens through which VA capability can be determined from the electrocardiogram (ECG) in normal cardiac rhythm. The aim of this study was to develop and test a deep neural network for VA risk stratification using routinely collected ambulatory ECGs. Methods and results: A multicentre case-control study was undertaken to assess VA-ResNet-50, our open source ResNet-50-based deep neural network. VA-ResNet-50 was designed to read pyramid samples of three-lead 24 h ambulatory ECGs to decide whether a heart is capable of VA based on the ECG alone. Consecutive adults with VA from East Midlands, UK, who had ambulatory ECGs as part of their NHS care between 2014 and 2022 were recruited and compared with all comer ambulatory electrograms without VA. Of 270 patients, 159 heterogeneous patients had a composite VA outcome. The mean time difference between the ECG and VA was 1.6 years (⅓ ambulatory ECG before VA). The deep neural network was able to classify ECGs for VA capability with an accuracy of 0.76 (95% confidence interval 0.66-0.87), F1 score of 0.79 (0.67-0.90), area under the receiver operator curve of 0.8 (0.67-0.91), and relative risk of 2.87 (1.41-5.81). Conclusion: Ambulatory ECGs confer risk signals for VA risk stratification when analysed using VA-ResNet-50. Pyramid sampling from the ambulatory ECGs is hypothesized to capture autonomic activity. We encourage groups to build on this open-source model. Question: Can artificial intelligence (AI) be used to predict whether a person is at risk of a lethal heart rhythm, based solely on an electrocardiogram (an electrical heart tracing)? Findings: In a study of 270 adults (of which 159 had lethal arrhythmias), the AI was correct in 4 out of every 5 cases. If the AI said a person was at risk, the risk of lethal event was three times higher than normal adults. Meaning: In this study, the AI performed better than current medical guidelines. The AI was able to accurately determine the risk of lethal arrhythmia from standard heart tracings for 80% of cases over a year away-a conceptual shift in what an AI model can see and predict. This method shows promise in better allocating implantable shock box pacemakers (implantable cardioverter defibrillators) that save lives.
  • Routine Functional Testing or Standard Care in High-Risk Patients after Percutaneous Coronary Intervention

    Nouman, Arshad; Indah, Sukmawati; Upul, wickramarachchi; Shrilla, Banerjee; Aaysha, Cader, Fathima (Current Cardiology Report, 2024-06-24)
    Purpose of review: This review aimed to collate the available evidence on outcomes following routine functional stress testing vs standard of care (i.e. symptom-guided stress testing) in high-risk patients following percutaneous coronary intervention (PCI). Recent findings: The most recent pragmatic POST-PCI trial provided randomized evidence showing that routine functional stress testing post-PCI did not lead to a reduction in 2-year ischemic cardiovascular events or all-cause mortality, as compared to a symptom-guided standard-of-care approach. This was also true for sub-analyses including multivessel or left main disease, diabetics, as well as following imaging or physiology guided PCI. In the absence of a change in their clinical or functional status suggestive of stent failure, post-PCI routine periodic stress testing in stable patients on guideline-directed medical therapy is currently not recommended by American clinical practice guidelines. While evidence on the cost-effectiveness of routine stress testing strategy is scarce, physician, payer, and policy-level interventions to reduce inappropriate use of routine functional testing need to be addressed.
  • Desmoplakin cardiomyopathy: case report

    Helal, Ayman; Alama, Mohamed; Ali, Wael; Farooq, Mohsen
    Desmoplakin (DSP) cardiomyopathy is a distinct form of cardiomyopathy characterized by frequent left ventricular involvement with extensive fibrosis, high arrhythmic risk, and episodes of acute myocardial injury.
  • Spontaneous coronary artery dissection: an overview

    Kaddoura, Rasha; Cader, Fathima Aaysha; Ahmed, Ashraf; Alasnag, Mirvat (Postgraduate Medical Journal, 2023-11-20)
    The prevalence of spontaneous coronary artery dissection (SCAD) has increased over the last decades in young adults presenting with acute coronary syndrome. Although the diagnostic tools, including intracoronary imaging, have permitted a more accurate diagnosis of SCAD, the prognosis and overall outcomes remain dismal. Furthermore, the disproportionate sex distribution affecting more women and the underdiagnosis in many parts of the world render this pathology a persistent clinical challenge, particularly since the management remains largely supportive with a limited and controversial role for percutaneous or surgical interventions. The purpose of this review is to summarize the available literature on SCAD and to provide insights into the gaps in knowledge and areas requiring further investigation.
  • What is the pipeline for future medications for obesity?

    Melson, Eka; Ashraf, Uzma; Papamargaritis, Dimitris; Davies, Melanie (International Journal of Obesity, 2024-02-01)
    Obesity is a chronic disease associated with increased risk of obesity-related complications and mortality. Our better understanding of the weight regulation mechanisms and the role of gut-brain axis on appetite has led to the development of safe and effective entero-pancreatic hormone-based treatments for obesity such as glucagon-like peptide-1 (GLP-1) receptor agonists (RA). Semaglutide 2.4 mg once weekly, a subcutaneously administered GLP-1 RA approved for obesity treatment in 2021, results in 15-17% mean weight loss (WL) with evidence of cardioprotection. Oral GLP-1 RA are also under development and early data shows similar WL efficacy to semaglutide 2.4 mg. Looking to the next generation of obesity treatments, combinations of GLP-1 with other entero-pancreatic hormones with complementary actions and/or synergistic potential (such as glucose-dependent insulinotropic polypeptide (GIP), glucagon, and amylin) are under investigation to enhance the WL and cardiometabolic benefits of GLP-1 RA. Tirzepatide, a dual GLP-1/GIP receptor agonist has been approved for glycaemic control in type 2 diabetes as well as for obesity management leading in up to 22.5% WL in phase 3 obesity trials. Other combinations of entero-pancreatic hormones including cagrisema (GLP-1/amylin RA) and the triple agonist retatrutide (GLP-1/GIP/glucagon RA) have also progressed to phase 3 trials as obesity treatments and early data suggests that may lead to even greater WL than tirzepatide. Additionally, agents with different mechanisms of action to entero-pancreatic hormones (e.g. bimagrumab) may improve the body composition during WL and are in early phase clinical trials. We are in a new era for obesity pharmacotherapy where combinations of entero-pancreatic hormones approach the WL achieved with bariatric surgery. In this review, we present the efficacy and safety data for the pipeline of obesity pharmacotherapies with a focus on entero-pancreatic hormone-based treatments and we consider the clinical implications and challenges that the new era in obesity management may bring.
  • British Thoracic Society Clinical Statement on pleural procedures

    Asciak, Rachelle; Bedawi, Eihab O; Bhatnagar, Rahul; Clive, Amelia O; Hassan, Maged; Lloyd, Heather; Reddy, Raja; Roberts, Helen; Rahman, Najib M (BMJ, 2023-07-11)