Table 2.

Predictors of In-Hospital Mortality following Periprosthetic Hip Fracture

Predictor	OR	95% CI	P-value
Age (yr)
70-90	2.5	1.1-5.7	0.022
80-89	5.0	2.3-11.1	<0.001
≥90	11.0	4.8-25.5	<0.001
Sex
Female	0.6	0.4-0.9	0.010
Comorbidity
Metastatic cancer	8.4	2.2-32.7	0.002
Liver disease	8.2	3.6-18.9	<0.001
Paralysis	6.9	1.8-27.1	0.006
Fluid and electrolyte disorders	4.1	2.6-6.4	<0.001
Pulmonary circulation disorders	3.6	1.8-7.2	<0.001
Weight loss	2.9	1.6-5.2	<0.001
Neurological disorders	2.4	1.4-4.1	0.001
Coagulopathy	2.2	1.2-4.1	0.015
Diabetes, complicated	2.1	1.2-3.8	0.014
Cardiac arrhythmias	1.8	1.1-2.9	0.011

Data derived from the NIS (National Inpatient Sample).

All adult patients diagnosed with a hip periprosthetic fracture between 2016 and 2019 were included.

Logistic regression was used with in-hospital mortality as the outcome variable. Only statistically significant variables (P<0.05) are shown in the table. In addition to significant predictors, the final model included hospital bed size, day of admission, and comorbidities, including congestive heart failure, chronic pulmonary disease, depression, drug abuse, lymphoma, obesity, peripheral vascular disease, renal failure, solid tumor, and valvular disease.

Reference variables were age <70 years, male sex, absence of comorbidity, and Medicare as a primary payment source.

OR: odds ratio, CI: confidence interval.