Correlation Engine 2.0
Clear Search sequence regions


Syncope (SC) and near-syncope (NS) are still misunderstood syndromes. Aim of study was to determine the risk factors for SC, NS, as well as for both entities (SC/NS) in geriatric inpatients reporting these events within the last year, irrespectively of the reason of admission to hospital. The retrospective study covered 250 patients, consecutively admitted to the geriatric ward. Patients were assigned to the three models: SC and/or NS in total, n=106; isolated NS, n=72; SC with co-existing NS, if any, n=34, and compared with patients without any such events (n=144). The patients underwent a comprehensive geriatric assessment and complete clinical investigation. The binary logistic regression was applied to predict risk factors for each of the models. Falls were most predictive for NS model (OR 35.4; 95% CI 10.3-121.1), and systemic hypotension for SC model (OR 92.9; 95% CI 6.1-1421.0). The highest specificity (85%) and sensitivity (81%) were found for the SC/NS model, with the highest contribution by falls (OR 18.1; 95% CI, 7.6-45.2), orthostatic hypotension (OR 8.1; 95% CI, 3.5-18.5), a history of stroke or transient ischemic attack, treatment with an angiotensin receptor blocker, plasma creatinine >1.4mg/dL, negatively self-rated health, vertigo, pathology of carotid arteries, and lack of hypertension. Syncope and near-syncope in geriatric inpatients have multifactorial and cumulative aetiology, with blurred, frequently overlapping boundaries between them. The falls, postural hypotension, and/or brain hypoperfusion of different origin seem to be most predictive of the both events, however low systemic blood pressure was predictive for the syncope exclusively.

Citation

B Bień, J Wilmańska, W Jańczak, A Wojskowicz, A Kasiukiewicz, K Klimiuk, M Toczyńska-Silkiewicz, E Gułaj, B Kuprjanowicz. Syncope and near-syncope as a multifactorial problem in geriatric inpatients: Systemic hypotension is an underrated predictor for syncope exclusively. Advances in medical sciences. 2011;56(2):352-60

Expand section icon Mesh Tags


PMID: 22112434

View Full Text