Literature DB >> 33609199

Predictors of hip fracture mortality in Ghana: a single-center prospective study.

Paa Kwesi Baidoo1,2, James B Odei3, Velarie Ansu4, Michael Segbefia5, Henry Holdbrook-Smith5.   

Abstract

To determine risk factors influencing mortality in patients with proximal femur fractures in a Ghanaian hospital over a 4-year period.
METHODS: Incidence of mortality was assessed among 76 participants with proximal femur fractures from January to December 2014 and followed up for 4 years. Outcomes of interest were mortality at 1 month, 6 months, 1 year, and 4 years. Hazard ratios (HRs) were calculated using Cox proportional hazards regression, adjusting for mortality risk factors.
RESULTS: Among the 76 participants (mean age 75.8 years [SD = 12.02], 36 (47.4%) males), there were 21 death cases. The mean time of injury to surgery was 16.4 (SD = 16.2) days. Hip fractures comprised of 38 (50%) intertrochanteric, 35 (46.05%) transcervical, and 3 (3.95%) basicervical. Mortality at 1 month, 6 months, 1 year, and 4 years were 6.6%, 13.2%, 19.7%, and 27.6%, respectively. Multiple regression analysis showed a yearly increase in age that was associated with a 1.03-fold increase in the risk of death (p = 0.17). Comparing males to females, there was a significant difference in mortality (HR = 5.24, p = 0.03). Participants with basicervical hip fracture versus those with transcervical hip fracture were at higher risk of dying (HR = 28.88, p = 0.01). Patients with abnormal/low creatinine as compared to those with normal creatinine were at higher risk of dying (HR = 5.64, p = 0.005). Also, participants with an American Society of Anesthesiologists (ASA) score of III or IV were 2.73 times more likely to experience death than those with an ASA score of I or II (95% CI: 0.93-8.89, p = 0.08). Additionally, a higher risk of death was associated with patients with chronic obstructive pulmonary disease (COPD) (HR = 53.45, p = 0.001) and osteoporosis (HR = 8.75, p = 0.006).
CONCLUSION: Being male, having basicervical hip fracture, abnormal/low creatinine, and a history of COPD and osteoporosis were the main predictors of mortality in the study population. These findings could serve as a guide when managing patients with proximal femur fractures to improve the outcome.

Entities:  

Keywords:  Ghana; Hip fracture; Mortality; Risk factors

Mesh:

Year:  2021        PMID: 33609199     DOI: 10.1007/s11657-021-00883-z

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.617


  45 in total

1.  Hip fracture management: tailoring care for the older patient.

Authors:  William W Hung; Kenneth A Egol; Joseph D Zuckerman; Albert L Siu
Journal:  JAMA       Date:  2012-05-23       Impact factor: 56.272

2.  Epidemiology of fractures in 15,000 adults: the influence of age and gender.

Authors:  B R Singer; G J McLauchlan; C M Robinson; J Christie
Journal:  J Bone Joint Surg Br       Date:  1998-03

3.  Insulin-induced cytoplasmic alkalinization and glucose transport in muscle cells.

Authors:  A Klip; T Ramlal; E J Cragoe
Journal:  Am J Physiol       Date:  1986-05

4.  No ticking time bomb: hospital utilisation of 28,528 hip fracture patients in Stockholm during 1998-2007.

Authors:  S Löfgren; G Ljunggren; M Brommels
Journal:  Scand J Public Health       Date:  2010-04-22       Impact factor: 3.021

Review 5.  Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review.

Authors:  Suneetha Ramani Moonesinghe; Michael G Mythen; Priya Das; Kathryn M Rowan; Michael P W Grocott
Journal:  Anesthesiology       Date:  2013-10       Impact factor: 7.892

6.  Population-based study of survival after osteoporotic fractures.

Authors:  C Cooper; E J Atkinson; S J Jacobsen; W M O'Fallon; L J Melton
Journal:  Am J Epidemiol       Date:  1993-05-01       Impact factor: 4.897

7.  Incidence and mortality of hip fractures in the United States.

Authors:  Carmen A Brauer; Marcelo Coca-Perraillon; David M Cutler; Allison B Rosen
Journal:  JAMA       Date:  2009-10-14       Impact factor: 56.272

8.  Decline in physical function following hip fracture.

Authors:  R A Marottoli; L F Berkman; L M Cooney
Journal:  J Am Geriatr Soc       Date:  1992-09       Impact factor: 5.562

9.  Modeling the length of the care episode after hip fracture: does the type of fracture matter?

Authors:  R Sund; J Riihimäki; M Mäkelä; A Vehtari; P Lüthje; T Huusko; U Häkkinen
Journal:  Scand J Surg       Date:  2009       Impact factor: 2.360

Review 10.  Risk scoring models for predicting peri-operative morbidity and mortality in people with fragility hip fractures: Qualitative systematic review.

Authors:  Takawira C Marufu; Alexa Mannings; Iain K Moppett
Journal:  Injury       Date:  2015-10-21       Impact factor: 2.586

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