Postgraduate medical journal
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Stratifying preoperative risk and guiding perioperative therapy objectively has acquired critical importance, given robust data demonstrating that morbidity following non-cardiac surgery confers substantially increased risk of death, even beyond hospital discharge. The development of useful perioperative biomarkers depends fundamentally on both prospective morbidity data that enable the identification of higher risk patients as well as the translational understanding of pathophysiological mechanisms underlying postoperative organ dysfunction, the development of which may be specific to the perioperative environment. ⋯ Nevertheless, common tests/biomarkers that are widely available do provide valuable, objective information that is perhaps under-utilised perioperatively. Despite significant challenges, perioperative medicine presents exciting-arguably unique-opportunities for novel biomarker development.
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This study was conducted to assess interns' level of exposure to different aspects of professional attitude and behaviour among faculty and residents. ⋯ Medical faculty and residents should be more aware of their behaviour and attitudes in practice, especially their interaction with colleagues so that students' professional behaviour can be improved.
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Perioperative morbidity is associated with reduced long term survival. Comorbid disease, cardiovascular illness, and functional capacity can predispose patients to adverse surgical outcomes. Accurate risk stratification would facilitate informed patient consent and identify those individuals who may benefit from specific perioperative interventions. ⋯ Probably the most widely used cardiac risk score is the Lee Revised Cardiac Risk Index, although it has limited validity in some patient populations and for non-cardiac outcomes. Bespoke clinical scoring systems responding to dynamic changes in population characteristics over time, such as those developed by the American College of Surgeons National Surgical Quality Improvement Program, are more precise, but require considerable resources to implement. The combination of objective clinical variables with information from novel techniques such as cardiopulmonary exercise testing and biomarker assays, may improve the predictive precision of clinical risk scores used to guide perioperative management.