Background: Smoking cessation (SC) care in the perioperative period of cardiothoracic surgery is important to reduce surgical risk and help achieve long-term smoking abstinence in patients who continue to smoke. The implementation of clinical guidelines for SC care in the perioperative period has proved challenging, yet little is known of what influences the inter-disciplinary team involved in the cardiothoracic area. This qualitative study explored the views of the clinicians involved in perioperative period of cardiothoracic surgery in Australia on their SC advice and support.
Methods: Semi-structured interviews were conducted with 52 cardiothoracic surgeons, anaesthetists, nurses and physiotherapists in three public tertiary referral hospitals and three private hospitals in New South Wales (NSW). Data was thematically analysed, and categorised using the Behaviour Change Wheel "Capabilities, Opportunity, Motivation & Behaviour" (COM-B) analysis framework to understand the factors that influence clinicians' views and perceived abilities to provide SC care.
Results: Barriers and facilitators to providing SC care were identified. The most commonly identified barriers in capability were the lack of knowledge, training and institutional engagement. Opportunity was hindered by lack of time, hospital support and resources, yet facilitated by the existence of a collaborative, multidisciplinary team and the ability to follow-up patients long term. In motivation, clinicians' attitudes and experience negatively influenced the initiation of the cessation conversation, while intrinsic attributes of empathy and positivity were drivers to provide SC care.
Conclusions: Clinicians' views, together with inadequate SC training, resources and engagement to implement clinical guidelines, contribute to inconsistent SC care. There is a need for hospitals to provide adequate SC resources and training to all clinicians to improve SC care to cardiothoracic surgery patients throughout the perioperative period.
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http://dx.doi.org/10.1016/j.hlc.2018.04.293 | DOI Listing |
Case Rep Cardiol
January 2025
Department of Medicine, Division of Cardiology, University of Washington, Seattle, Washington, USA.
Anomalous aortic origin of a coronary artery is a rare congenital heart defect. The detection of anomalous coronary arteries is likely to increase with increased availability and application of cardiac computed tomography and magnetic resonance imaging. Once detected, the recommendation for surgical intervention on anomalous coronary arteries depends upon patient symptoms, the presence or absence of inducible ischemia on stress imaging, and high-risk anatomic features.
View Article and Find Full Text PDFCureus
December 2024
Department of Cardiothoracic Surgery, HonorHealth, Scottsdale, USA.
Background Cardiac surgery-associated acute kidney injury (CSA-AKI) remains a significant complication following coronary artery bypass grafting (CABG), affecting 22%-30% of patients. This study evaluates the efficacy of NephroCheck, a biomarker-based test measuring insulin-like growth factor-binding protein 7 (IGFBP7) and tissue inhibitor of metalloproteinases-2 (TIMP2), in predicting postoperative AKI. Methods In this retrospective observational cohort study, 21 patients undergoing isolated CABG were analyzed.
View Article and Find Full Text PDFJACC Asia
December 2024
Department of Cardiology, National Heart Centre Singapore, Singapore.
Transcatheter aortic valve implantation (TAVI) has been established as an effective treatment modality in patients with severe aortic stenosis (AS) and the uptake of TAVI is rapidly growing in the Asia-Pacific region. However, there exist a heterogeneity in the management of aortic stenosis and the use of TAVI among countries in the region. Reasons for these differences include anatomic variations, disparity in healthcare resources and infrastructure, and the lack of consensus on the optimal management of AS in the Asia-Pacific region.
View Article and Find Full Text PDFPrz Gastroenterol
September 2024
Department of Surgery, General University Hospital of Patras, Patras, Greece.
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management of liver cancer. Recent advancements showcase AI's ability to analyse medical imaging data, like computed tomography scans and magnetic resonance imaging, accurately detecting and classifying liver cancer lesions for early intervention. Predictive models aid prognosis estimation and recurrence pattern identification, facilitating personalised treatment planning.
View Article and Find Full Text PDFOsteoarthr Cartil Open
March 2025
Department of Pediatrics, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University & The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu, Sichuan, China.
Background: Investigate the link between systemic immune-inflammatory index (SII) and Systemic Immune Response Index (SIRI) with osteoarthritis (OA) using National Health and Nutrition Examination Survey (NHANES) data (1999-2018).
Methods: Extracted NHANES data (1999-2018) and selected a study population based on demographic, examination, and laboratory data. Calculated SII (platelet count × neutrophil count/lymphocyte count) and SIRI (neutrophil count × monocyte count/lymphocyte count).
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