Hip fractures are associated with excess mortality, and several studies have pointed out the burden on society health care costs and the need to optimize cost effectiveness in treatment. The goal of our study was to investigate if patients with a higher risk of death after hip fracture could be identified using routine blood tests taken on admission. All 530 hip fracture patients admitted to the Department of Orthopedics, Bispebjerg University Hospital from October 2008 till December 2009 were included prospectively. Patients under the age of 60 (n = 39) were excluded. Furthermore, because the purpose was to identify blood tests at the time of admission that could predict outcome, we only included patients that had project blood samples taken at the day of admission resulting in 324 hip fracture patients for further analysis. Follow up data on mortality were obtained from the national civil registry the first of February 2010. Predictors for mortality were determined by logistic and cox regression models. P < 0.05 was regarded as statistically significant. Of the 324 hip fracture patients under study, 66 (20%) died within the study period. The results of stepwise Cox multivariate regression models for survival during the first three months after admission revealed that age, plasma creatinine and albumin predict mortality. The hazard ratios were 1.04 (95% CI: 1.005–1.09, p = 0.02), 1.01 (per unit increase)(95% CI: 1.01–1.02, p<0.0001), and 0.87 (95% CI: 0.80–0.94, p = 0.002) for age, plasma creatinine and albumin respectively. The 90 day mortality was 13% and 42% in patients with normal and elevated plasma creatinine levels respectively. Hip fracture patients are known to have a high risk of post- operative mortality. Our findings suggest that it might be possible to identify at- risk patients that could possibly benefit from increased attention the first months following surgery using already available blood samples.
At Bispebjerg University Hospital in Denmark, an Optimized Hip Fracture Program, (OHP) is the standard of care for all hip fracture patients. Part of OHP is pain treatment with a femoral nerve catheter placed at the emergency room, dosed 4 times a day with Bupivacain until 4 days after surgery, combined with systemic analgesics as needed. In 2008, a database and a bio bank were created at the ward including all hip fracture patients to make a better description of the population and as a tool for further optimisation of the OHP. One of the aims was to identify possible subgroups having specific complications, which could lead to a differentiation of the OHP by markers known at the time of admission. In this analysis, we will focus on postoperative pain that inhibits mobilization by fracture type and type of surgery. A consecutive cohort of 898 hip fracture patients hospitalized within two years from September 2008 to July 2010 was used for this study. Patients coming from nursing homes were excluded from the study, since nearly all are discharged 1 or 2 days after surgery to rehabilitation. If the exact type of fracture was not known, or if the patient was admitted for rehabilitation after surgery at another hospital, the patient was also excluded. 508 patients were thus included in the study. Mean age 80.0 years (SD:23.7), 72.1% women and 27.9% men. Mobilization inhibited by postoperative pain as documented in the patient files was registered in the database. Overall mobilization was inhibited by pain in 26.7% of the 508 patients included. The following fracture types were studied: Femoral neck Garden 1–2, Femoral neck Garden 3–4, Pertrochanteric Evans 1–2, Pertrochanteric Evans 3–5, Basocervical and Subtrochanteric. Mobilization inhibited by pain was not significantly associated with type of surgery: Cannulated Hip Screws 16/80 (20.0%), sliding hip screw 23/94 (24.5%), Intramedullary Nail 63/186 (33.9%), partial hip replacement 33/144 (22.9%), total hip replacement 1/5 (20.0%). P = 0.09 chi square. On the other hand mobilization inhibited by pain was significantly associated with fracture type: Femoral neck Garden 1–2: 13/64 (20.3%), Femoral neck Garden 3–4: 38/172 (22.1%), Pertrochanteric Evans 1–2: 18/69 (26.1%), Pertrochanteric Evans 3–5: 46/149 (30.9%), Basocervical: 6/28 (21.4%), Subtrochanteric 15/27(55.6%). P = 0.009 chi square.Methods
Results