Incremental burden on health-related quality of life, health service utilization and direct medical expenditures associated with cognitive impairment among non-institutionalized people with diabetes aged 65 years and older.

AIMS: To quantify the incremental health and economic burden associated with cognitive impairment (CI) among non-institutionalized people with diabetes ≥65 years in the United States. MATERIALS AND METHODS: Using 2016-2019 Medical Expenditure Panel Surveys data, we identified participants ≥65 years with diabetes. We used propensity score weighting to quantify the CI-associated incremental burden on health-related quality of life measured by the 12-item Short Form Survey (SF-12), including the mental component summary score, physical component summary score and health utility. We also compared the annual health service utilization and expenditures on ambulatory visits, prescriptions, home care, emergency room (ER), hospitalizations and total annual direct medical expenditures. RESULTS: We included 5094 adults aged ≥65 with diabetes, of whom 804 had CI. After propensity score weighting, CI was associated with a lower mental component summary score (-8.4, p < .001), physical component summary score (-5.2, p < .001) and health utility (-0.12, p < .001). The CI group had more ambulatory visits (+4.4, p = .004) and prescriptions (+9.9, p < .001), with higher probabilities of having home care (+11.3%, p < .001) and ER visits (+8.2%, p = .001). People with CI spent $5441 (p < .001) more annually, $2039 (p = .002) more on prescriptions, $2695 (p < .001) more on home care and $118 (p < .001) more on ER visits. There is no statistically significant difference in the utilization and expenditure of hospitalizations. CONCLUSION: CI was associated with worse health-related quality of life, higher health service utilization and expenditures. Our findings can be used to monitor the health and economic burden of CI in non-institutionalized older persons with diabetes.

Trajectories of prescription opioid dose and risk of opioid-related adverse events among older Medicare beneficiaries in the United States: A nested case-control study.

BACKGROUND: Despite the rising number of older adults with medical encounters for opioid misuse, dependence, and poisoning, little is known about patterns of prescription opioid dose and their association with risk for opioid-related adverse events (ORAEs) in older patients. The study aims to compare trajectories of prescribed opioid doses in 6 months preceding an incident ORAE for cases and a matched control group of older patients with chronic noncancer pain (CNCP). METHODS AND FINDINGS: We conducted a nested case-control study within a cohort of older (≥65 years) patients diagnosed with CNCP who were new users of prescription opioids, assembled using a 5% national random sample of Medicare beneficiaries from 2011 to 2018. From the cohort with a mean follow-up of 2.3 years, we identified 3,103 incident ORAE cases with ≥1 opioid prescription in 6 months preceding the event, and 3,103 controls matched on sex, age, and time since opioid initiation. Key exposure was trajectories of prescribed opioid morphine milligram equivalent (MME) daily dosage over 6 months before the incident ORAE or matched controls. Among the cases and controls, 2,192 (70.6%) were women, and the mean (SD) age was 77.1 (7.1) years. Four prescribed opioid trajectories before the incident ORAE diagnosis or matched date emerged: gradual dose discontinuation (from ≤3 to 0 daily MME, 1,456 [23.5%]), gradual dose increase (from 0 to >3 daily MME, 1,878 [30.3%]), consistent low dose (between 3 and 5 daily MME, 1,510 [24.3%]), and consistent moderate dose (>20 daily MME, 1,362 [22.0%]). Few older patients (<5%) were prescribed a mean daily dose of ≥90 daily MME during 6 months before diagnosis or matched date. Patients with gradual dose discontinuation versus those with a consistent low dose, moderate dose, and increase dose were more likely to be younger (65 to 74 years), Midwest US residents, and receiving no low-income subsidy. Compared to patients with gradual dose discontinuation, those with gradual dose increase (adjusted odds ratio [aOR] = 3.4; 95% confidence interval (CI) 2.8 to 4.0; P < 0.001), consistent low dose (aOR = 3.8; 95% CI 3.2 to 4.6; P < 0.001), and consistent moderate dose (aOR = 8.5; 95% CI 6.8 to 10.7; P < 0.001) had a higher risk of ORAE, after adjustment for covariates. Our main findings remained robust in the sensitivity analysis using a cohort study with inverse probability of treatment weighting analyses. Major limitations include the limited generalizability of the study findings and lack of information on illicit opioid use, which prevents understanding the clinical dose threshold level that increases the risk of ORAE in older adults. CONCLUSIONS: In this sample of older patients who are Medicare beneficiaries, 4 prescription opioid dose trajectories were identified, with most prescribed doses below 90 daily MME within 6 months before ORAE or matched date. An increased risk for ORAE was observed among older patients with a gradual increase in dose or among those with a consistent low-to-moderate dose of prescribed opioids when compared to patients with opioid dose discontinuation. Whether older patients are susceptible to low opioid doses warrants further investigations.

Disease Severity and Risk Factors of 30-Day Hospital Readmission in Pediatric Hospitalizations for Pneumonia.

Pneumonia is the leading cause of hospitalization in pediatric patients. Disease severity greatly influences pneumonia progression and adverse health outcomes such as hospital readmission. Hospital readmissions have become a measure of healthcare quality to reduce excess expenditures. The aim of this study was to examine 30-day all-cause readmission rates and evaluate the association between pneumonia severity and readmission among pediatric pneumonia hospitalizations. Using 2018 Nationwide Readmissions Database (NRD), we conducted a cross-sectional study of pediatric hospitalizations for pneumonia. Pneumonia severity was defined by the presence of respiratory failure, sepsis, mechanical ventilation, dependence on long-term supplemental oxygen, and/or respiratory intubation. Outcomes of interest were 30-day all-cause readmission, length of stay, and cost. The rate of 30-day readmission for the total sample was 5.9%, 4.7% for non-severe pneumonia, and 8.7% for severe pneumonia (p < 0.01). Among those who were readmitted, hospitalizations for severe pneumonia had a longer length of stay (6.5 vs. 5.4 days, p < 0.01) and higher daily cost (USD 3246 vs. USD 2679, p < 0.01) than admissions for non-severe pneumonia. Factors associated with 30-day readmission were pneumonia severity, immunosuppressive conditions, length of stay, and hospital case volume. To reduce potentially preventable readmissions, clinical interventions to improve the disease course and hospital system interventions are necessary.

Predictive Modeling for Suicide-Related Outcomes and Risk Factors among Patients with Pain Conditions: A Systematic Review.

Suicide is a leading cause of death in the US. Patients with pain conditions have higher suicidal risks. In a systematic review searching observational studies from multiple sources (e.g., MEDLINE) from 1 January 2000-12 September 2020, we evaluated existing suicide prediction models' (SPMs) performance and identified risk factors and their derived data sources among patients with pain conditions. The suicide-related outcomes included suicidal ideation, suicide attempts, suicide deaths, and suicide behaviors. Among the 87 studies included (with 8 SPM studies), 107 suicide risk factors (grouped into 27 categories) were identified. The most frequently occurring risk factor category was depression and their severity (33%). Approximately 20% of the risk factor categories would require identification from data sources beyond structured data (e.g., clinical notes). For 8 SPM studies (only 2 performing validation), the reported prediction metrics/performance varied: C-statistics (n = 3 studies) ranged 0.67-0.84, overall accuracy(n = 5): 0.78-0.96, sensitivity(n = 2): 0.65-0.91, and positive predictive values(n = 3): 0.01-0.43. Using the modified Quality in Prognosis Studies tool to assess the risk of biases, four SPM studies had moderate-to-high risk of biases. This systematic review identified a comprehensive list of risk factors that may improve predicting suicidal risks for patients with pain conditions. Future studies need to examine reasons for performance variations and SPM's clinical utility.