A probabilistic computational level model of conditional inference is proposed that can explain polarity biases in conditional inference (e.g., J. St.B.T. Evans, 1993). These biases are observed when J. St.B.T. Evans's (1972) negations paradigm is used in the conditional inference task. The model assumes that negations define higher probability categories than their affirmative counterparts (M. Oaksfurd & K. Stenning, 1992); for example, P(not-dog) > P(dog). This identification suggests that polarity biases are really a rational effect of high-probability categories. Three experiments revealed that, consistent with this probabilistic account, when high-probability categories are used instead of negations, a highprobability conclusion effect is observed. The relationships between the probabilistic model and other phenomena and other theories in conditional reasoning are discussed.

We identified runners with troponin levels that, in other circumstances, would raise concern for myocardial necrosis. However absence of adverse clinical sequelae would suggest this rise is physiological. The cause and clinical significance of the increased HSTnT levels seen in those that collapsed is yet to be fully elucidated.

Background The Clinical Frailty Scale (CFS) is widely used to assess frailty in older adults and reflects functional independence. We examined its use as an outcome measure in an offsite rehabilitation unit for patients over 65 transferred from an acute hospital following medical/surgical admission. Methods Patients were given a CFS score by consensus opinion from the multidisciplinary team on admission and on completion of rehabilitation. We included data on diagnosis, length of stay and discharge destination Results Thirty patients, with a mean age of 80, completed rehabilitation over a four-month period. The most common diagnosis was fracture of hip or pelvis (53%). Median CFS was 6 on admission and 5 on discharge (range 3-8). Twenty-one (70%) patients saw an improvement in CFS of an average of one point on the scale irrespective of admission score. Of those that improved, 81% were discharged directly home with no need for increased support services, compared with 11% of those who did not improve. Mean length of stay was significantly less in those with mild/moderate frailty (CFS 5-6) at admission versus severe frailty (31 vs 53.8 days, p<0.01). Conclusion Frailty score improved in the majority of patients undergoing rehabilitation, regardless of admission score; CFS alone did not predict rehabilitation potential, emphasising the importance of offering rehabilitation to frail older adults – better judged by experienced clinical assessment. CFS is a broad 9-point tool that can miss small improvements in physical function based on other objective scores e.g. FIM+FAM. Severe frailty was associated with longer length of stay in rehabilitation, possibly reflecting more complex discharge planning as well as rehabilitation progress in this group.

Background The Covid-19 pandemic changed work practices across many different healthcare institutions. The difficulties with cross-site transfers created an opportunity in our institution to provide on-site post-operative rehabilitation for older patients undergoing elective orthopaedic surgery. The aim of this study is to assess the impact of post-operative specialist geriatric care on older patients. Methods This is a single-centre, retrospective study that received approval from the local hospital ethics committee. Data were collected on all patients admitted to the on-site specialist rehabilitation unit post-elective orthopaedic surgery between 1st May 2020 and 31st December 2021. Two patients in this group were excluded as they had not attended a pre-operative assessment clinic. Data were collected from hospital Information Technology platform, Bluespiers. Results 76 patients, 18 males and 58 females, were included in this study. The median age was 80 years. In the specialist rehabilitation unit, evidence of cognitive impairment was established in 40.79% of cases, there were 3 cases of newly diagnosed dementia, a history of falls was identified in 32.89% of patients and 13.16% of patients were found to have sarcopaenia. The median length of stay in the rehabilitation unit was 25 days. 51.32% of patients were discharged home independently, 23.68% of patients went home with a new Home-Care Package (HCP), 15.79% of patients were discharged home with an existing HCP, 6.58% of patients were transferred for further treatment and 2.63% patients were discharged to residential care units. Conclusion This data demonstrates a clear role for specialist geriatric care in elective rehabilitation, with a significant proportion of patients being discharged home independently. The benefits of a comprehensive geriatric assessment in the peri-operative setting include increased identification of cognitive impairment allowing appropriate implementation of brain health as well as identification of a history of falls, enabling falls risk assessment and management including bone health assessment.

Background The Pre-operative Assessment Clinic (PAC) is run by the Anaesthetic Department and assesses older patients undergoing elective orthopaedic surgery. The aim of this study was to examine how PAC currently assesses older patients and how effective it is in assessing for likelihood of postoperative complications and requirement for rehabilitation. Methods A single-centre, retrospective study that received approval from the local ethics committee. Data were collected on all patients post elective orthopaedic surgery admitted to the on-site specialist rehabilitation unit for older persons, between 1st May 2020 and 31st December 2021. Data were collected from hospital Information Technology platform, Bluespiers. Results Seventy-six patients (58 female; median age: 80 years) were included. Median time from PAC to surgery was 95 days. Functional assessment was completed in 63.16% of cases, formal cognitive assessment was done in 13% of cases. Number of falls in the preceding year was recorded in 31% of patients. Baseline mobility was recorded in 93% of cases. Whilst smoking and alcohol history was recorded in 96% of cases, number of units was not calculated. 45% (n=34) of patients were correctly identified as likely to require post-operative inpatient rehabilitation. PAC did not record sarcopaenia, polypharmacy or delirium risk factors. From our dataset, at least 13% had sarcopaenia, 80% had polypharmacy and 23% required opiate medications. Post-operatively, 16% of patients developed a delirium and 12% had an acute kidney injury. Conclusion In its current format, PAC fails to optimally risk stratify frail, older patients. Attention concentrates on fitness for surgery rather than optimisation of patients. Failure to record frailty, sarcopenia, cognitive impairment and risk factors for delirium is leading to missed opportunities in terms of delirium prevention, and peri-operative optimisation of older patients as well as discharge planning before surgery. Collaboration with specialist geriatric services at PAC should improve patient outcomes.

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