Kelly Kilgore

Adherence to preventive exercises and self-reported swallowing outcomes in post-radiation head and neck cancer patients

To reduce the risk of long‐term swallowing complications after radiation, swallowing exercises may be helpful. Both the rate of adherence to swallowing exercises and its impact on future swallowing function are unknown.

Clinical Signs of Impending Death in Cancer Patients

BACKGROUND The physical signs of impending death have not been well characterized in cancer patients. A better understanding of these signs may improve the ability of clinicians to diagnose impending death. We examined the frequency and onset of 10 bedside physical signs and their diagnostic performance for impending death. METHODS We systematically documented 10 physical signs every 12 hours from admission to death or discharge in 357 consecutive patients with advanced cancer admitted to two acute palliative care units. We examined the frequency and median onset of each sign from death backward and calculated their likelihood ratios (LRs) associated with death within 3 days. RESULTS In total, 203 of 357 patients (52 of 151 in the U.S., 151 of 206 in Brazil) died. Decreased level of consciousness, Palliative Performance Scale ≤20%, and dysphagia of liquids appeared at high frequency and >3 days before death and had low specificity (<90%) and positive LR (<5) for impending death. In contrast, apnea periods, Cheyne-Stokes breathing, death rattle, peripheral cyanosis, pulselessness of radial artery, respiration with mandibular movement, and decreased urine output occurred mostly in the last 3 days of life and at lower frequency. Five of these signs had high specificity (>95%) and positive LRs for death within 3 days, including pulselessness of radial artery (positive LR: 15.6; 95% confidence interval [CI]: 13.7-17.4), respiration with mandibular movement (positive LR: 10; 95% CI: 9.1-10.9), decreased urine output (positive LR: 15.2; 95% CI: 13.4-17.1), Cheyne-Stokes breathing (positive LR: 12.4; 95% CI: 10.8-13.9), and death rattle (positive LR: 9; 95% CI: 8.1-9.8). CONCLUSION We identified highly specific physical signs associated with death within 3 days among cancer patients.

Development and Cross-Validation of the In-Hospital Mortality Prediction in Advanced Cancer Patients Score: A Preliminary Study

PURPOSE Acute palliative care units (APCUs) provide intensive symptom support and transition of care for advanced cancer patients. Better understanding of the predictors of in-hospital mortality is needed to facilitate program planning and patient care. In this prospective study, we identified predictors of APCU mortality, and developed a four-item In-hospital Mortality Prediction in Advanced Cancer Patients (IMPACT) predictive model. METHODS Between April and July 2010, we documented baseline demographics, the Edmonton Symptom Assessment Scale (ESAS), 80 clinical signs including known prognostic factors, and 26 acute complications on admission in consecutive APCU patients. Multivariate logistic regression analysis was used to identify factors for inclusion in a nomogram, which was cross-validated with bootstrap analysis. RESULTS Among 151 consecutive patients, the median age was 58, 13 (9%) had hematologic malignancies, and 52 (34%) died in the hospital. In multivariate analysis, factors associated with in-hospital mortality were advanced education (odds ration [OR]=11.8, p=0.002), hematologic malignancies (OR=8.6, p=0.02), delirium (OR=4.3, p=0.02), and high ESAS global distress score (OR=20.8, p=0.01). In a nomogram based on these four factors, total scores of 6, 10, 14, 17, and 21 corresponded to a risk of death of 10%, 25%, 50%, 75%, and 90%, respectively. The model has 92% sensitivity and 88% specificity for predicting patients at low/high risk of dying in the hospital, and a receiver-operator characteristic curve concordance index of 83%. CONCLUSIONS Higher education was associated with increased utilization of the interdisciplinary palliative care unit until at the end of life. Patients with higher symptom burden, delirium, and hematologic malignancies were also more likely to require APCU care until death.

Pattern and Predictors of Outpatient Palliative Care Referral Among Thoracic Medical Oncologists

A better understanding of clinician and patient characteristics that are associated with referral for palliative care in a real‐world context may help to overcome barriers to timely palliative care access. This article reports patterns of outpatient palliative care referral among thoracic medical oncologists and identifies oncologist characteristics associated with greater referral.