172 Sarcopenia, Frailty and Malnutrition in the Older Adults in the Emergency Department Setting (Age and Ageing)

AbstractBackgroundThe physical phenotype of frailty shows significant overlap with sarcopenia, and sarcopenia phenotype is associated with malnutrition. Integrating screening of these interrelated conditions, could help identify those most vulnerable in the Emergency Department (ED) setting.MethodsPatients >=75 were screened in the Emergency department (ED) by an interdisciplinary Gerontological ED team using a standardised assessment tool, incorporating the Clinical Frailty Scale (CFS) and the mini-nutritional assessment short form (MNA-SF). Patients at risk of malnutrition ( MNA-SF <12) were referred for Dietetics assessment and screened for sarcopenia, using the European Working Group on Sarcopenia in Older People (EWGSOP2) algorithm for case finding, followed by grip strength and calf muscle measurement.ResultsIn a convenience sample of patients referred to dietetics following initial screen in ED, 57% were female (25/44) and the mean age was 83 years (range 75-94). Eighty-eight percent (39/44) were at risk of malnutrition/malnourished and 25% (11/44) were diagnosed with malnutrition (MNA-SF score 0-7). Seventy-three percent (32/44) scored >=4 on the CFS. Fifty-two percent of all patients (23/44) had a Sarc-F >= 4, suggestive of sarcopenia, while 45% (20/44) had a probable diagnosis of sarcopenia and 39% (17/44) met diagnostic criteria for sarcopenia.Risk of malnutrition was more commonly observed in those patients with a CFS score >=4 (94% vs. 75%), as was risk of sarcopenia (81% vs. 17%). Fifty percent (22/44) of all patients screened positive for suspicion of both frailty and sarcopenia (frailty score>=4 and Sarc-F score>=4).Patients with a probable diagnosis of sarcopenia and concomitant frailty had more ED attendances, falls and longer lengths of stay.ConclusionFrailty, malnutrition and sarcopenia are frequently observed in older patients in the acute setting. The integration of screening measures for malnutrition, frailty and sarcopenia in clinical practice can facilitate the identification of patients for multi-component targeted interventions.