Hospital(s): King's College Hospital NHS Foundation Trust
Special Interests: Adult Cardiac Surgery
After his cardiothoracic surgical training at the Medical School Hannover/Germany, Professor Wendler worked as staff surgeon at the Heart Center Leipzig/Germany. He later became deputy of the Cardiothoracic Department at the University Hospital Saarland/Germany, where he completed his PhD on complete arterial revascularisation. In 2004 Professor Wendler was appointed at King’s College Hospital, and held the position of clinical director for cardiovascular services from 2006 until 2012, when he was promoted Professor of Cardiac Surgery at King’s College London. In 2018 he was appointed as chair of the heart and vascular institute of the Cleveland Clinic London, planned to open for in hospital patient treatment beginning 2021.
Professor Wendler has a particular interest in the treatment of heart valve disease and is sub-specialised in valve repair techniques including the aortic root, mitral and tricuspid valve. Due to his particular expertise in this area, Professor Wendler runs a service particularly specialised in the treatment of complex multiple heart valve surgery including patients with carcinoid disease. Through his close collaboration with the vascular surgical department and interventional radiology he has established King’s College Hospital as one of the major centers for thoracic aortic surgery in London.
In 2007 Professor Wendler performed the first transapical Transcatheter Aortic Valve Implantation (TAVI) in the UK and has established King’s College Hospital as one of the major international centers for this innovative treatment. Over recent years the King’s Heart Team performed the first TAVI in a failing aortic bioprosthesis (2008) and the first transcatheter valve implantation in a failing mitral bioprosthesis (2010) in the UK.
Professor Wendler can be contacted through his secretary Aine Walsh: 02032994341, email: firstname.lastname@example.org or directly using email: email@example.com
Risk-adjusted in-hospital survival rate
This graph shows the “in hospital” survival rate of patients who are operated on by the individual surgeon/unit you have selected. “In hospital” means time the patient is in the hospital where they have had their operation. It does not include any time that patients may have spent in other hospitals, either before or after their heart operation.
The data has been through a complex methodology, including the variations in patient risk factors in order to give you a comparative base from which to work from. This means that the survival rates take into account the type and risk of patients being operated on for each surgeon/unit. This is known as risk adjusted survival.
The vertical axis shows the GMC number of the surgeon or the Hospital identifier. In brackets is the total number of patients operated on by the surgeon/unit and the percentage of patients for whom the survival is known. The horizontal axis is the percentage survival. The dashed vertical line shows the risk adjusted survival rate for the UK as a whole. The solid black horizontal line represents the surgeon/unit. What is important here is that the horizontal line crosses the vertical dashed line. If this occurs, it means that the surgeon/unit are within the expected outcomes given the case-mix and risk factors of the patients they operate on.
The icons that sit on the horizontal line should give you more information about your surgeon/team.
The open square is the survival rate with no risk adjustments:
The X is the predicted survival with adjustments
The solid dot is the survival probability after the methodology has been applied.
- If the solid dot is red it means survival is worse than expected
- If the solid dot is black it means that it is within limits
- If the solid dot is green it means that there is significantly higher survival than expected
There is a lot of information on these plots, but the takeaway message is that if the solid black line crosses the dashed vertical line then the survival rate for the surgeon/unit is within expectations and that there is no reason for any concern.
A more detailed explanation about these graphs and methodology can be found here: Graph Explanations