The Influence of Palliative Care in Hospital Length of Stay and the Timing of Consultation.

BACKGROUND: Inpatient palliative care may reduce length-of-stay, costs, mortality, and prevent readmissions. Timing of consultation may influence outcomes. The aim of this study was to explore the timing of consultation and its influences patient outcomes. METHOD: This retrospective study of hospital consultations between July 1, 2019 and December 31, 2019 compared patients seen within 72 hours of admission with those seen after 72 hours. Outcomes length of stay and mortality. Chi-square analyses for categorical variables and independent t-tests for continuous normally distributed variables were done. For nonparametrically distributed outcome variables, Wilcoxon rank sum test was used. For mortality, a time-to-event analysis was used. 30-day readmissions were assessed using the Fine-Gray sub-distribution hazard model. Multiple regression models were used, controlling for other variables. RESULTS: 696 patients were seen, 424 within 72 hours of admission. The average age was 73 and 50.6% were female. Consultation within 72 hours was not associated with a shorter stay for cancer but was for patients with non-cancer illnesses. Inpatient mortality and 30-days mortality were reduced but there was a higher 30-day readmission rate. DISCUSSION: Palliative consultations within 72 hours of admission was associated with lower hospital stays and inpatient mortality but increased the risk of readmission. Benefits were largely observed in patients followed in continuity. CONCLUSION: Early inpatient palliative care consultation was associated with reduced hospital mortality, 30-day mortality and length of stay particularly if patients were seen by palliative care prior to hospitalization.

Perspectives from individuals with familial hypercholesterolemia on direct contact in cascade screening.

Familial hypercholesterolemia (FH) is the most common inherited form of high cholesterol that significantly increases the risk for coronary artery disease. Early detection and treatment can decrease morbidity and mortality and provide important risk information to family members. However, FH remains vastly underdiagnosed and undertreated. Cascade screening is the process of iteratively testing first-degree relatives for a genetic disease. It has been shown to effectively identify individuals with undiagnosed FH. The majority of research on methods for cascade screening has been conducted outside of the United States (U.S.). For indirect contact, index cases encourage relatives to undergo testing, and for direct contact, healthcare providers (HCP) obtain the index case's consent to contact relatives and offer information. Currently, there is not an accepted strategy for cascade screening programs in the U.S. This study investigated perspectives on direct and indirect contact for cascade screening from individuals with FH. An online survey was designed in collaboration with the Familial Hypercholesterolemia Foundation (FHF). Fifty-eight percent of U.S. index cases (11/19, 57.9%) and all international index cases (8/8, 100%) indicated willingness to provide contact information for certain at-risk relatives to a HCP for the purpose of directly informing relatives of their risk for FH in a hypothetical scenario. These findings provide an example of U.S. data and additional international data suggesting that some individuals with FH may consider direct contact a reasonable approach to improve screening uptake among family members. These initial findings need further confirmation in a larger group.

Association Between Bone Mineral Density and Depressive Symptoms in a Population-Based Sample.

OBJECTIVE: This analysis was conducted to determine the relationship between bone mineral density (BMD) and depressive symptoms in a population-based cohort. METHODS: Data were extracted from the second phase of the Dallas Heart Study (DHS-2), a large, multiethnic population sample in Dallas County, Texas, from September 1, 2007, to December 31, 2009. Depressive symptom severity was measured with the 16-item Quick Inventory of Depressive Symptomatology-Self Report (QIDS-SR16), which is derived from DSM-IV major depressive disorder criteria. BMD was measured using dual-energy x-ray absorptiometry. Multiple linear regressions examined the relationship between QIDS-SR16 score and BMD controlling for age, body mass index, sex, ethnicity, smoking status, alcohol use status, serum 25-hydroxyvitamin D concentration, antidepressant use, and physical activity as measured by total vigorous and moderate metabolic equivalents. Subgroup analyses explored differences related to age. RESULTS: QIDS-SR16 score was not a significant predictor of either lumbar spine or total hip T-score (ß = -0.01, P = .61 and ß = -0.02, P = .39) in the overall population (n = 2,285). There was a significant negative interaction term between age and QIDS-SR16 group (ß = -0.01, P = .01). In participants aged 60 years or older (n = 465), QIDS-SR16 score was a significant predictor of BMD at the lumbar spine and total hip (ß = -0.14, P = .003 and ß = -0.12, P = .006, respectively). CONCLUSIONS: QIDS-SR16 score did not significantly predict BMD in the overall DHS-2 sample. There was, however, a significant association observed in participants aged ≥ 60 years. Results suggest that diagnosis and treatment of depressive symptoms may be of clinical importance in older individuals, a subgroup at high risk for osteoporosis and fractures.