A 15-year retrospective analysis of the epidemiology and outcomes for elderly emergency general surgical admissions in the North East of England: A case for multidisciplinary geriatric input. | LitMetric
Department of Colorectal Surgery, Queen Elizabeth Hospital, Gateshead, NE9 6SX, UK. Electronic address:
Published: April 2016
AI Article Synopsis
Article Abstract
Introduction: Life expectancies in the UK are increasing and with this there is an increasing elderly population with more complex co-morbidity. Emergency surgery in the elderly is challenging in terms of decision making, managing co-morbidity and post-operative rehabilitation with high morbidity and mortality. To optimise service design and development, it is important to understand the changing pattern of emergency surgical care for this group.
Methods: After obtaining necessary approvals, we approached each hospital trust in the North of England for details of every emergency admission under a general surgeon from 2000 to 2014. Data for each admission included demographics, co-morbidities, diagnoses, procedures undertaken and outcomes.
Results: There were 105 002 elderly (≥70 years) emergency general surgical admissions, and mean age and co-morbidity (defined by Charlson index scores) increased (both p < 0.001). Operative intervention was undertaken in a similar proportion of patients in all age groups (13%), with more patients undergoing operations over time (p < 0.001), of which 50% were within 48 h of admission. Overall in-hospital mortality decreased significantly as did length of hospital stay (both p < 0.001). Factors associated with increased 30 day in-hospital mortality were increasing age and Charlson score, admissions directly from clinic, operations undertaken at the weekend and patients admitted earlier in the study period.
Conclusion: The workload of emergency general surgery in the elderly is becoming more complex. This challenge is already being addressed with improvements in outcomes. The data presented here reinforces the need for new models of care with increased multidisciplinary geriatric care input into elderly surgical patient care in the perioperative period.
Background: The United Nations Sustainable Development Goal 3 (SDG3) for 2030 aims at <70 maternal deaths per 100,000 live births. South Africa (SA) falls short of this goal and most deaths occur in district and regional hospitals. Due to low anesthesiologist (specialist anesthetist) numbers in the public sector, the anesthetic workforce in these hospitals consists mainly of nonspecialist (general practitioner) junior doctors with limited supervision.
Background: Wearable technologies have become increasingly prominent in health care. However, intricate machine learning and deep learning algorithms often lead to the development of "black box" models, which lack transparency and comprehensibility for medical professionals and end users. In this context, the integration of explainable artificial intelligence (XAI) has emerged as a crucial solution.
AbstractLarge-scale temporal and spatial biodiversity patterns have traditionally been explained by multitudinous particular factors and a few theories. However, these theories lack sufficient generality and do not address fundamental interrelationships and coupled dynamics among resource availability, community abundance, and species richness. We propose the equilibrium theory of biodiversity dynamics (ETBD) to address these linkages.
Background: Due to the specific anatomical features of the tibia (limited soft tissue coverage), more than a quarter of its fractures are classified as open, representing the most common open long-bone injuries. Open tibial fractures frequently cause significant bone comminution, periosteal stripping, soft tissue loss, contamination and are prone to bacterial entry with biofilm formation, which increases the risk of deep bone infection. The main objective of this study was to determine prevalence of infection and its associated factors in surgically treated open tibial fracture, at Addis Ababa Burn Emergency and Trauma (AaBET) hospital.
