Hyponatraemia is a potentially preventable post-operative complication following hip arthroplasty. There is a paucity of literature reporting its incidence and guidelines for prevention - unlike AKI which has been prioritised to great success. Hyponatraemia is now rife in elective orthopaedics causing multiple symptoms that delay ambulation and increase the length of hospital stay. We aim to assess the incidence of hyponatraemia and AKI as a benchmark following elective primary total hip arthroplasty (THA), as well as identify patients most at risk in a high volume arthroplasty centre. Between April 2018 and September 2018 all primary THA surgeries performed in one hospital were retrospectively reviewed. Pre-operative and 1 day post operative bloods were analysed. Patients included had normal pre-operative sodium. A total of 221 patients underwent THA. The mean age was 73.6 and ASA 2.1. No patients had a recorded AKI, however 42% of patients had a new post operative hyponatraemia. Of the hyponatraemia cases, 75% were mild, 18% were moderate, and 7% were severe. There was correlation between increased age and increased severity of hyponatraemia. The mean age of patients with mild hyponatraemia was 72.1, moderate was 77.7, and severe was 78.8. An association between ASA and severity of hyponatraemia was noted. In patients who had an ASA of 4 and hyponatraemia, 66% were moderate or severe, ASA 3 was 25%, ASA 2 was 24% and ASA 1 was 0%. The patients who had severe hyponatraemia received on average 3.5L fluid input perioperatively. Rates of post op hyponatraemia are significantly higher than AKI in primary THA. Severity of hyponatraemia increases with age and ASA. Due to its negative outcomes on recovery the high levels of hyponatraemia are worrying. We have identified which patient cohorts are more at risk and recommend more care should be taken in their perioperative fluid balance. It may be beneficial to consider successful AKI prevention and management campaigns and apply them to the prevention of hyponatraemia following hip arthroplasty.
Understanding bone morphology is essential for successful computer assisted orthopaedic surgery, where definition of normal anatomical variations and abnormal morphological patterns can assist in surgical planning and evaluation of outcomes. The proximal femur was the anatomical target of the study described here. Orthopaedic surgeons have studied femoral geometry using 2D and 3D radiographs for precise fit of bone-implant with biological fixation. The use of a Statistical Shape Model (SSM) is a promising venue for understanding bone morphologies and for deriving generic description of normal anatomy. A SSM uses measures of statistics on geometrical descriptions over a population. Current SSM construction methods, based on Principal Component Analysis (PCA), assume that shape morphologies can be modeled by pure point translations. Complicated morphologies, such as the femoral head-neck junction that has non-rigid components, can be poorly explained by PCA. In this work, we showed that PCA was impotent for processing complex deformations of the proximal femur and propose in its place our Principal Tangent Component (PTC) analysis. The new method used the Lie algebra of affine transformation matrices to perform simple computations, in tangent spaces, that corresponded to complex deformations on the data manifold.INTRODUCTION
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