Nayan Lamba1, Fang Cao2, Daniel N Cagney3, Paul J Catalano4, Daphne A Haas-Kogan3, Patrick Y Wen5, Ayal A Aizer3. 1. Harvard Radiation Oncology Program, Harvard University, Boston, Massachusetts, USA. 2. Harvard Medical School, Boston, Massachusetts, USA. 3. Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA. 4. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA. 5. Center for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Abstract
Background: Falls in patients with cancer harbor potential for serious sequelae. Patients with brain metastases (BrM) may be especially susceptible to falls but supporting investigations are lacking. We assessed the frequency, etiologies, risk factors, and sequelae of falls in patients with BrM using 2 data sources. Methods: We identified 42 648 and 111 patients with BrM utilizing Surveillance, Epidemiology, and End Results (SEER)-Medicare data (2008-2016) and Brigham and Women's Hospital/Dana-Farber Cancer Institute (BWH/DFCI) institutional data (2015), respectively, and characterized falls in these populations. Results: Among SEER-Medicare patients, 10 267 (24.1%) experienced a fall that prompted medical evaluation, with cumulative incidences at 3, 6, and 12 months of 18.0%, 24.3%, and 34.1%, respectively. On multivariable Fine/Gray's regression, older age (≥81 or 76-80 vs 66-70 years, hazard ratio [HR] 1.18 [95% CI, 1.11-1.25], P < .001 and HR 1.10 [95% CI, 1.04-1.17], P < .001, respectively), Charlson comorbidity score of >2 vs 0-2 (HR 1.08 [95% CI, 1.03-1.13], P = .002) and urban residence (HR 1.08 [95% CI, 1.01-1.16], P = .03) were associated with falls. Married status (HR 0.94 [95% CI, 0.90-0.98], P = .004) and Asian vs white race (HR 0.90 [95% CI, 0.81-0.99], P = .03) were associated with reduced fall risk. Identified falls were more common among BWH/DFCI patients (N = 56, 50.4% of cohort), resulting in emergency department visits, hospitalizations, fractures, and intracranial hemorrhage in 33%, 23%, 11%, and 4% of patients, respectively. Conclusions: Falls are common among patients with BrM, especially older/sicker patients, and can have deleterious consequences. Risk-reduction measures, such as home safety checks, physical therapy, and medication optimization, should be considered in this population.
Background: Falls in patients with cancer harbor potential for serious sequelae. Patients with brain metastases (BrM) may be especially susceptible to falls but supporting investigations are lacking. We assessed the frequency, etiologies, risk factors, and sequelae of falls in patients with BrM using 2 data sources. Methods: We identified 42 648 and 111 patients with BrM utilizing Surveillance, Epidemiology, and End Results (SEER)-Medicare data (2008-2016) and Brigham and Women's Hospital/Dana-Farber Cancer Institute (BWH/DFCI) institutional data (2015), respectively, and characterized falls in these populations. Results: Among SEER-Medicare patients, 10 267 (24.1%) experienced a fall that prompted medical evaluation, with cumulative incidences at 3, 6, and 12 months of 18.0%, 24.3%, and 34.1%, respectively. On multivariable Fine/Gray's regression, older age (≥81 or 76-80 vs 66-70 years, hazard ratio [HR] 1.18 [95% CI, 1.11-1.25], P < .001 and HR 1.10 [95% CI, 1.04-1.17], P < .001, respectively), Charlson comorbidity score of >2 vs 0-2 (HR 1.08 [95% CI, 1.03-1.13], P = .002) and urban residence (HR 1.08 [95% CI, 1.01-1.16], P = .03) were associated with falls. Married status (HR 0.94 [95% CI, 0.90-0.98], P = .004) and Asian vs white race (HR 0.90 [95% CI, 0.81-0.99], P = .03) were associated with reduced fall risk. Identified falls were more common among BWH/DFCI patients (N = 56, 50.4% of cohort), resulting in emergency department visits, hospitalizations, fractures, and intracranial hemorrhage in 33%, 23%, 11%, and 4% of patients, respectively. Conclusions: Falls are common among patients with BrM, especially older/sicker patients, and can have deleterious consequences. Risk-reduction measures, such as home safety checks, physical therapy, and medication optimization, should be considered in this population.
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