Searchable abstracts of presentations at key conferences in endocrinology

ea0077p6 | Adrenal and Cardiovascular | SFEBES2021

The effect of plasma potassium on hospital length of stay in unselected acute admissions

Ellis Hugh Logan , Sharpe Claire , Kelly Philip , Al-Agil Mohammad , Teo James , Whyte Martin

Introduction: Hypo-&hyperkalaemia are common laboratory abnormalities, complicating up to 10% of all hospital admissions and contributing to mortality. Ideally, patients with mild deviations can be treated as outpatients, and only those patients with objectively severe or life-threatening levels are hospitalized. Once admitted, there are few data as to whether the degree of electrolyte disturbance consumes greater resource(s). We analysed the admission and discharge data, ...

ea0077p90 | Neuroendocrinology and Pituitary | SFEBES2021

Hypo and hypernatraemia on admission are associated with increased length of stay in unselected acute hospital admissions

Ellis Hugh Logan , Sharpe Claire , Kelly Phil , Al-Agil Mohammad , Teo James , Aylwin Simon , Whyte Martin

Introduction: Hyponatraemia is a common biochemical abnormality, complicating up to 15% of all hospital admissions and associated with increased mortality. Hypernatraemia, occuring less frequently, is strongly associated with mortality and is almost always due to a free water deficit. There is limited data about hospital healthcare burden of these two relatively common electrolyte imbalances. We analysed the length of stay, for acute admissions, with reference to the admission...

ea0086p91 | Neuroendocrinology and Pituitary | SFEBES2022

Diabetes insipidus safety: Automated electronic records alert to identify patients with diabetes insipidus in hospital

Clave Llavall Anna , Aquino Maia , Teo James , Mustafa Omar G. , Whitelaw Benjamin C.

Background: Cranial diabetes insipidus (DI) is characterised by the inability to produce vasopressin leading to uncontrolled diuresis. Management includes administering synthetic vasopressin analogue desmopressin (DDAVP). Recently, there have been several national reports of DDAVP omission causing serious patient harm. This study aims to evaluate the feasibility of an automated alert system using Natural Language Processing (NLP) in electronic health records (EHR) to detect DI...