Predictive factors for in-hospital stay and complications after hip fracture

2012 ◽  
Vol 16 (4) ◽  
pp. 206-213 ◽  
Author(s):  
Panagiota P. Copanitsanou ◽  
Joseph Liaskos ◽  
Theodoros C. Tsarouchas
Author(s):  
T. Pareja Sierra ◽  
I. Bartolomé Martín ◽  
J. Rodríguez Solís ◽  
L. Bárcena Goitiandia ◽  
M. Torralba González de Suso ◽  
...  

2013 ◽  
Vol 22 (02) ◽  
pp. 160-163 ◽  
Author(s):  
Christopher A. Brown ◽  
Steven Olson ◽  
Robert Zura

2018 ◽  
Vol 100 (7) ◽  
pp. 556-562 ◽  
Author(s):  
T Richards ◽  
A Glendenning ◽  
D Benson ◽  
S Alexander ◽  
S Thati

Introduction Management of hip fractures has evolved over recent years to drive better outcomes including length of hospital stay. We aimed to identify and quantify the effect that patient factors influence acute hospital and total health service length of stay. Methods A retrospective observational study based on National Hip Fracture Database data was conducted from 1 January 2014 to 31 December 2015. A multiple regression analysis of 330 patients was carried out to determine independent factors that affect acute hospital and total hospital length of stay. Results American Society of Anesthesiologists (ASA) grade 3 or above, Abbreviated Mental Test Score (AMTS) less than 8 and poor mobility status were independent factors, significantly increasing length of hospital stay in our population. Acute hospital length of stay can be predicted as 8.9 days longer when AMTS less than 8, 4.2 days longer when ASA grade was 3 or above and 20.4 days longer when unable to mobilise unaided (compared with independently mobile individuals). Other factors including total hip replacement compared with hemiarthroplasty did not independently affect length of stay. Conclusions Our analysis in a representative and generalisable population illustrates the importance of identifying these three patient characteristics in hip fracture patients. When recognised and targeted with orthogeriatric support, the length of hospital stay for these patients can be reduced and overall hip fracture care improved. Screening on admission for ASA grade, AMTS and mobility status allows prediction of length of stay and tailoring of care to match needs.


2021 ◽  
Author(s):  
Liang Huang ◽  
Hong Jin ◽  
Hong Zhang ◽  
Yang Liu ◽  
Xinxing Shi ◽  
...  

Abstract Background China had entered post-elimination era for malaria, however, the imported cases are continuously are a public health concern as the increasing number of cases. In this study we studied the potential predictive factors for prolonged hospital stay for imported malaria patients. Material and Methods We retrospectively collected patients of imported malaria cases data from 2017–2020 in our hospital. we analyzed the data from clinical, epidemiological, geographical, and seasonal points of view, and used cox proportional hazard model to find the predictive factors for prolonged hospital stay. Results We found most of imported cases were from Democratic Republic of the Congo(23%, 34/150) and most cases 74%(26/34) were infected by P. falciparum. Through Edwards Test, no significant seasonality of imported cases were found(χ2 = 2.51 p-value = 0.28). We found bacterial infection(HR = 0.58, p-value = 0.01) and thrombocytopenia(HR = 0.66, p-value = 0.02) were protective factors for discharge, that were, the risk factors for prolonged hospital stay. Conclusions The imported cases are the major risk of malaria in post-elimination era of China. The bacterial infection and thrombocytopenia were the risk factors for prolonged hospital stay.


BMJ ◽  
2012 ◽  
Vol 345 (sep04 1) ◽  
pp. e5940-e5940 ◽  
Author(s):  
S. Mayor

2012 ◽  
Vol 270 (6) ◽  
pp. 1775-1781 ◽  
Author(s):  
Dhave Setabutr ◽  
Hetal Patel ◽  
Garret Choby ◽  
Michele M. Carr

2016 ◽  
Vol 11 (1) ◽  
Author(s):  
Boris Sobolev ◽  
◽  
Pierre Guy ◽  
Katie Jane Sheehan ◽  
Lisa Kuramoto ◽  
...  

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