In vivo magnetogenetics for cell-type-specific targeting and modulation of brain circuits.

Neuromodulation technologies are crucial for investigating neuronal connectivity and brain function. Magnetic neuromodulation offers wireless and remote deep brain stimulations that are lacking in optogenetic- and wired-electrode-based tools. However, due to the limited understanding of working principles and poorly designed magnetic operating systems, earlier magnetic approaches have yet to be utilized. Furthermore, despite its importance in neuroscience research, cell-type-specific magnetic neuromodulation has remained elusive. Here we present a nanomaterials-based magnetogenetic toolbox, in conjunction with Cre-loxP technology, to selectively activate genetically encoded Piezo1 ion channels in targeted neuronal populations via torque generated by the nanomagnetic actuators in vitro and in vivo. We demonstrate this cell-type-targeting magnetic approach for remote and spatiotemporal precise control of deep brain neural activity in multiple behavioural models, such as bidirectional feeding control, long-term neuromodulation for weight control in obese mice and wireless modulation of social behaviours in multiple mice in the same physical space. Our study demonstrates the potential of cell-type-specific magnetogenetics as an effective and reliable research tool for life sciences, especially in wireless, long-term and freely behaving animals.

Association between epidermal growth factor receptor-tyrosine kinase inhibitors and venous thromboembolism among older patients with advanced non-small cell lung cancer.

BACKGROUND: Venous thromboembolism (VTE) risk is higher among patients with non-small cell lung cancer (NSCLC) and specific subgroups, including the elderly, but little is known about the VTE risk of different generations of epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) and whether the risk differs by demographic characteristics. This study aims to compare the risk of VTE (deep venous thromboembolism [DVT]; pulmonary embolism [PE]) between a third-generation EGFR-TKI and first/second-generation EGFR-TKIs and stratify VTE risk by sex, age, and race/ethnicity in third-generation EGFR-TKI users. METHODS: Via the 2006-2019 Surveillance, Epidemiology, and End Results-Medicare database, this retrospective cohort study included older patients (aged ≥65 years) with advanced NSCLC who initiated on a third-generation EGFR-TKI (n = 493) and first/second-generation EGFR-TKIs (n = 1036). We estimated the hazard ratio (HR) and its 95% confidence interval (95% CI) with the Cox proportional hazards model. RESULTS: A third-generation EGFR-TKI had a significantly higher VTE risk than first/second-generation EGFR-TKIs (HR, 1.26 [95% CI, 1.01-1.57]; p = .037), with an elevated risk in males (HR, 2.16 [95% CI, 1.47-3.19]; p < .001), patients aged ≥75 years (HR, 1.38 [95% CI, 1.04-1.83]; p = .026), and non-Hispanic Whites (HR, 1.46 [95% CI, 1.10-1.95]; p = .010). Males consistently showed a significantly higher risk of DVT (HR, 2.49 [95% CI, 1.29-4.80]; p = .007) and PE (HR, 2.00 [95% CI, 1.29-3.11]; p = .002). A significantly higher risk of DVT (HR, 1.54 [95% CI, 1.00-2.37]; p = .050) and PE (HR, 1.47 [95% CI, 1.06-2.05]; p = .021) was shown in patients aged ≥75 years and non-Hispanic Whites, respectively. Among third-generation EGFR-TKI users, non-Hispanic Whites had a significantly higher risk of VTE (HR, 2.04 [95% CI, 1.03-4.02]; p = .041) and PE (HR, 2.88 [95% CI, 1.24-6.70]; p = .014) than non-Hispanic Asian/Pacific Islanders. CONCLUSIONS: Close monitoring of VTE events in high-risk patients is essential to promote early diagnosis and treatment.

Digital Divide Among Beneficiaries and Medicare Diabetes Prevention Program.

INTRODUCTION: Successful delivery of the virtual Medicare Diabetes Prevention Program (MDPP) is influenced by a beneficiary's access to a computer and use of the Internet. METHODS: Using the 2020 nationally representative Medicare Current Beneficiary Survey Public Use File, a three-level categorical dependent variable was created: (1) has a computer AND uses Internet, (2) has a computer OR uses Internet, and (3) has no access to either (reference group). A survey-weighted multinomial logit model was performed in 2023 to examine associations between socio-demographics, comorbidities, and computer access and Internet use. RESULTS: Of study beneficiaries aged ≥65 years with BMI≥25 kg/m2 and no history of diabetes (n=3,875), 70.8% had a computer AND used Internet; 14.3% had a computer OR used Internet; and 14.9% had no computer AND did not use Internet. Hispanics and non-Hispanic Blacks (OR=0.28, 95% CI [0.17-0.43]) were less likely than non-Hispanic Whites to have a computer AND use Internet. Beneficiaries with less education (

Association Between Alcohol Use Disorder and Hospital Readmission Rates and Outcomes in Cancer Survivors: A Population Cohort Study.

BACKGROUND: Alcohol use disorder (AUD) is the most common substance use disorder and is characterized by heavy alcohol use and the inability to control drinking. This study sought to compare the rate, timing, length, and total costs of hospital readmissions among cancer survivors with and without AUD. METHODS: We used the Nationwide Readmissions Database in 2017 and 2018 in this cohort study. Cancer survivors with an AUD diagnosis during their index hospitalization were included in the exposure group. Propensity score matching was used to identify cancer survivors without AUD for the control group. The primary outcome was all-cause readmission, and secondary outcomes included days to, length of, and total cost of readmission. Outcomes were measured after 90 and 180 days of follow-up. Logistic regression was used to measure the likelihood of readmission, and negative binomial regression and gamma regression were used for the other outcomes. RESULTS: Of 485,962 cancer survivors, 13,953 (2.9%) had co-occurring AUD. Cancer survivors with AUD had slightly higher odds of 90-day (odds ratio, 1.14; 95% CI, 1.06-1.22) and 180-day (odds ratio, 1.11; 95% CI, 1.05-1.18) readmission compared with those without AUD. Cancer survivors with AUD who were readmitted after 90 days also had higher readmission costs ($3,785 vs $3,376; P=.03). No differences in time to and length of readmission were observed between groups. The odds of readmission were higher among cancer survivors with AUD irrespective of age and type of cancer. Male, but not female, cancer survivors with AUD were more likely than those without AUD to be readmitted in both follow-up periods. CONCLUSIONS: This population-based cohort study of cancer survivors in the United States found that AUD is associated with higher 90- and 180-day readmission rates and higher related health care costs after 90 days of follow-up. Hospitalized cancer survivors with AUD may benefit from addiction treatment and discharge planning that addresses their co-occurring AUD.

Patient attitudes, experiences, and satisfaction with healthcare and office visit utilization among Medicare beneficiaries with type 2 diabetes.

OBJECTIVES: To examine patient attitudes, experiences, and satisfaction with healthcare associated with office visit utilization among Medicare beneficiaries with type 2 diabetes. METHODS: We analyzed the 2019 Medicare Current Beneficiary Survey Public Use File of beneficiaries aged ≥65 years with type 2 diabetes (n = 1092). The ordinal dependent variable was defined as 0, 1 to 5, and ≥6 office visits. An ordinal partial proportional odds model was conducted to examine associations of beneficiaries' attitudes, experiences, and satisfaction with healthcare and office visit utilization. RESULTS: Among the beneficiaries, approximately 17.7%, 22.8%, and 59.5% reported having 0, 1 to 5, and ≥6 office visits, respectively. Being male (OR = 0.67, p = 0.004), Hispanic (OR = 0.53, p = 0.006), divorced/separated (OR = 0.62, p = 0.038) and living in a non-metro area (OR = 0.53, p < 0.001) were associated with a lower likelihood of attending more office visits. Trying to keep sickness to themselves (OR = 0.66, p = 0.002) and dissatisfaction with the ease and convenience of getting to providers from home (OR = 0.45, p = 0.010) were associated with a lower likelihood of having more office visits. DISCUSSION: The proportion of beneficiaries foregoing office visits is concerning. Attitudes concerning healthcare and transportation challenges can be barriers to office visits. Efforts to ensure timely and appropriate access to care should be prioritized for Medicare beneficiaries with diabetes.

Trends in Drug Spending of Oral Anticoagulants for Atrial Fibrillation, 2014-2021.

INTRODUCTION: This study documents cost trends in oral anticoagulants (OAC) in patients with newly diagnosed atrial fibrillation. METHODS: Using MarketScan databases, the mean annual patients' out-of-pocket costs, insurance payments, and the proportion of patients initiating OAC within 90 days from atrial fibrillation diagnosis were calculated from July 2014 to June 2021. Costs of OACs (apixaban, dabigatran, edoxaban, rivaroxaban, and warfarin) and the payments by three insurance types (commercial payers, Medicare, and Medicaid) were calculated. Patients' out-of-pocket costs and insurance payments were adjusted to 2021 prices. Joinpoint regression models were used to test trends of outcomes and average annual percent changes (AAPC) were reported. Data analyses were performed in 2022-2023. RESULTS: From July 2014 to June 2021, the mean annual out-of-pocket costs of any OAC increased for commercial insurance (AAPC 3.0%) and Medicare (AAPC 5.1%) but decreased for Medicaid (AAPC -3.3%). The mean annual insurance payments for any OAC significantly increased for all insurance groups (AAPC 13.1% [95% CI 11.3-15.0] for Medicare; AAPC 11.8% [95% CI 8.0-15.6] for commercial insurance; and AAPC 16.3% [95% CI 11.3-21.4] for Medicaid). The initiation of any OAC increased (AAPC 7.3% for commercial insurance; AAPC 10.2% for Medicare; AAPC 5.3% for Medicaid). CONCLUSIONS: There was a substantial increase in the overall cost burden of OACs and OAC initiation rates in patients with newly diagnosed atrial fibrillation in 2014-2021; these findings provide insights into the current and anticipated impact of rising drug prices on patients' and payers' financial burden.

Exploring factors related to clinically advanced fibrosis in patients with nonalcoholic fatty liver disease or nonalcoholic steatohepatitis.

OBJECTIVES: To describe the clinical profile of nonalcoholic fatty liver disease (NAFLD) or nonalcoholic steatohepatitis (NASH) patients in a Texas integrated delivery network (IDN) and elucidate the local relationship between patient factors and the risk of advanced fibrosis. METHODS: This observational, retrospective, cross-sectional study utilized existing data from the electronic health record at a large Texas IDN. Data was collected during the study period from 1 January 2019, to 1 March 2023. Patient characteristics, comorbidities, labs, and medication orders were collected from the most recent encounter in which a Fibrosis-4 (FIB-4) score could be calculated. Chi square tests and analysis of variance (ANOVA) tests were conducted to evaluate differences among the three fibrosis risk categories. Ordinal logistic regression was utilized to assess associations between select variables and a higher risk of advanced fibrosis. RESULTS: A total of 56,253 patients were included in the study. 34,839 (61.9%) were Low-Risk 15,578 (27.7%) were Intermediate-Risk, and 5,836 (10.4%) were High-Risk of advanced fibrosis. Results showed that up to 70.4% of patients within a risk group were obese. Only 49.5% of patients in the High-Risk group had at least one gastroenterologist or hepatologist visit. Males, Medicare patients, former smokers, and those with hypertension, type 2 diabetes, and chronic kidney disease were associated with a higher risk of advanced fibrosis. CONCLUSION: This study highlights the need for early screening and proactive management of metabolic risk factors for patients with NAFLD/NASH. The findings indicate a notable prevalence of obesity in the study population, a need for specialist referral for those at High-Risk of advanced fibrosis, and the importance of routine labs to evaluate metabolic factors. Primary care providers may be ideal providers to target these interventions and address this care need.

Long QT syndrome after using EGFR-TKIs in older patients with advanced non-small cell lung cancer.

BACKGROUND: Long QT syndrome (LQTS) has been reported in older patients with advanced non-small cell lung cancer (NSCLC) following the use of osimertinib, the third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI). However, there have not been analytic epidemiology studies on this topic. We aimed to compare the risk of LQTS between osimertinib and first/second-generation EGFR-TKIs in older patients with advanced NSCLC. RESEARCH DESIGN AND METHODS: This retrospective observational study used the 2006-2019 Surveillance, Epidemiology, and End Results (SEER)-Medicare data and included older patients with advanced NSCLC who were treated with either osimertinib or first/second-generation EGFR-TKIs during 2007-2017. Inverse probability of treatment weighting (IPTW) was used to balance the two groups with propensity scores estimated based on the patients' socioeconomic and clinical characteristics. Crude incidence rate (IR) and adjusted hazard ratio (HR) of the primary outcome, incident LQTS, were estimated. RESULTS: A total of 545 and 1,135 patients were included in the osimertinib and first/second-generation EGFR-TKI groups, which increased to 1,614 and 1,659, respectively, after IPTW. The osimertinib group had a higher IR of LQTS (2.62 per 100 person-years, 95% CI 2.03-3.38) compared to the first/second-generation EGFR-TKI group (1.33 per 100 person-years, 95% CI 0.92-1.92). After adjusting for covariates, the osimertinib group had a higher risk of LQTS than the first/second-generation EGFR-TKI group, with an HR of 1.94 (95% CI 1.23-3.08). The increased LQTS risk in the osimertinib group was even higher in females, whites and patients aged ≥ 75. CONCLUSIONS: Given the elevated risk of LQTS associated with osimertinib user, close monitoring for cardiac rhythm irregularities of high-risk patients following initiation of EGFR-TKI is recommended.

Long QT syndrome (LQTS) indicates a disorder of heart beats with prolonged QT intervals. There have been reports of LQTS in older patients with advanced non-small cell lung cancer (NSCLC) who were treated with osimertinib, a third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI). We conducted a retrospective study using Surveillance, Epidemiology, and End Results (SEER)-Medicare database, including older patients aged ≥ 65 with advanced NSCLC who were treated with EGFR-TKIs. Our results show higher incidence of LQTS after using osimertinib than first/second-generation EGFR-TKIs. After adjusting for patients' characteristics that might have affected the incidence of LQTS, the risk of LQTS was significantly higher in osimertinib users than in earlier generation EGFR-TKI users. Females, whites, and patients aged ≥ 75 had an even higher risk of LQTS when treated with osimertinib. Close monitoring for cardiac rhythm irregularities in high-risk patients after osimertinib initiation is recommended.

Food insecurity and glycemic goals among Medicare beneficiaries with type 2 diabetes.

OBJECTIVE: To examine the association between food insecurity and achieving glycemic goals among Medicare beneficiaries with type 2 diabetes. METHODS: This study analyzed the nationally representative 2019 Medicare Current Beneficiary Survey of 1340 beneficiaries aged ≥65 years with type 2 diabetes. The binary dependent variable was whether beneficiaries' blood glucose was at target (A1C ≤ 7.5% or average fasting blood glucose of ≤140 mg/dL, all/most of the time). Food insecurity, a binary variable, was adapted based on the USDA's food security questions. A survey-weighted multivariable logistic model, adjusted for sociodemographics and comorbidities, was conducted to estimate predictive margins for comparing prevalence of having above-target blood glucose levels across groups. RESULTS: Of study beneficiaries, 20.9% reported not achieving glycemic targets. The predictive marginal prevalence of having higher than target blood glucose levels was significantly greater in females over males (23.8% [95% confidence interval [CI], 20.1-27.4] vs 17.6% [14.3-20.9]); those with less than high school education over those with college education (31.0% [23.6-38.3] vs 18.6% [14.8-22.3]); and those reporting food insecurity over their counterparts (33.4% [24.5-42.3] vs 19.1% [16.6-21.7]). CONCLUSIONS: Sociodemographic disparities related to achieving blood glucose goals were observed. Screening for food insecurity and related interventions should be considered for at-risk beneficiaries with diabetes.

Association of cardiovascular disease with health-related quality of life among older women with early-stage breast cancer undergoing adjuvant endocrine therapy.

INTRODUCTION: Due to the improved overall survival and life expectancy of older women with breast cancer, cardiovascular disease (CVD) arose as the primary cause of non-cancer-related deaths in this population. Therefore, assessing the health-related quality of life (HRQoL) of breast cancer patients with comorbid CVD is becoming increasingly vital. Our study aimed to evaluate the association between comorbid CVD and HRQoL among older women with early-stage breast cancer who are receiving adjuvant endocrine therapy (AET) in the United States. MATERIALS AND METHODS: We conducted a retrospective cohort study using the 2006-2017 Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey data. We identified female patients over the age of 65 who were diagnosed with stage I-III hormone receptor-positive breast cancer and treated with AET. HRQoL was assessed by the physical and mental component summary (PCS & MCS) in the health survey. CVD was defined as a history of acute myocardial infarction (AMI), congestive heart failure (CHF), angina, stroke, or other heart-related conditions. We performed multivariate linear regression models while controlling for covariates. RESULTS: Among 3,904 older women, a history of CHF [ß = -1.97, p = 0.025], stroke [ß = -3.00, p < 0.010], or other heart-related condition [ß = -1.10, p = 0.046] was significantly associated with lower PCS. However, no significant differences in PCS scores were found between women with a history of AMI or angina and those without these conditions. Having a history of CHF [ß = -1.72, p = 0.033] or stroke [ß = -1.48, p = 0.038] was significantly associated with lower MCS, whereas a history of angina, AMI, or other heart conditions was not associated with significant differences in MCS. Our study did not observe any significant differences in PCS and MCS between the two types AETs. DISCUSSION: The study found that older women with early-stage breast cancer who were being treated with AETs had a lower HRQoL if they had a history of CHF or stroke. These comorbidities were identified as strong predictors for decreased HRQoL. The findings highlight the significance of managing cardiovascular diseases in such patients for better HRQoL while they receive AET treatment.

Prevalence of primary and secondary hypertension among hospitalized patients with cancer in the United States.

BACKGROUND: Hypertension is the most common comorbidity in patients with cancer. We aimed to estimate the prevalence of hypertension by demographic characteristics and cancer type among hospitalized patients with cancer. METHODS: Hospitalized cancer patients were included using 2016-2018 National Inpatient Sample data. The independent variable was the presence of hypertension, which was further classified as primary, secondary, and other hypertension. Patient characteristics were grouped by age, sex, race/ethnicity, and the 12 most common cancer types. Multinomial logistic regression was used. RESULTS: Among 638,670 hospitalized patients with cancer, 56.8% had hypertension. The predicted percentages of having any hypertension were higher with age, male gender, and black race. The predicted percentages of any hypertension were the highest in kidney cancer patients across all age and race/ethnicity groups. Uterine cancer was associated with the highest percentages of primary hypertension, followed by kidney cancer. Leukemia was associated with the highest percentages of secondary hypertension, followed by non-Hodgkin lymphoma. DISCUSSION: Kidney cancer patients had the highest predicted percentage of hypertension overall, while uterine cancer and leukemia had the highest percentages of primary and secondary hypertension, respectively. This study provides evidence for identifying cancer patients who need more attention for the prevention and management of hypertension.

Predicting unplanned readmission due to cardiovascular disease in hospitalized patients with cancer: a machine learning approach.

Cardiovascular disease (CVD) in cancer patients can affect the risk of unplanned readmissions, which have been reported to be costly and associated with worse mortality and prognosis. We aimed to demonstrate the feasibility of using machine learning techniques in predicting the risk of unplanned 180-day readmission attributable to CVD among hospitalized cancer patients using the 2017-2018 Nationwide Readmissions Database. We included hospitalized cancer patients, and the outcome was unplanned hospital readmission due to any CVD within 180 days after discharge. CVD included atrial fibrillation, coronary artery disease, heart failure, stroke, peripheral artery disease, cardiomegaly, and cardiomyopathy. Decision tree (DT), random forest, extreme gradient boost (XGBoost), and AdaBoost were implemented. Accuracy, precision, recall, F2 score, and receiver operating characteristic curve (AUC) were used to assess the model's performance. Among 358,629 hospitalized patients with cancer, 5.86% (n = 21,021) experienced unplanned readmission due to any CVD. The three ensemble algorithms outperformed the DT, with the XGBoost displaying the best performance. We found length of stay, age, and cancer surgery were important predictors of CVD-related unplanned hospitalization in cancer patients. Machine learning models can predict the risk of unplanned readmission due to CVD among hospitalized cancer patients.

Use of machine learning to predict bladder cancer survival outcomes: a systematic literature review.

INTRODUCTION: The objective of this systematic review is to summarize the use of machine learning (ML) in predicting overall survival (OS) in patients with bladder cancer. METHODS: Search terms for bladder cancer, ML algorithms, and mortality were used to identify studies in PubMed and Web of Science as of February 2022. Notable inclusion/exclusion criteria contained the inclusion of studies that utilized patient-level datasets and exclusion of primary gene expression-related dataset studies. Study quality and bias were assessed using the International Journal of Medical Informatics (IJMEDI) checklist. RESULTS: Of the 14 included studies, the most common algorithms were artificial neural networks (n = 8) and logistic regression (n = 4). Nine articles described missing data handling, with five articles removing patients with missing data entirely. With respect to feature selection, the most common sociodemographic variables were age (n = 9), gender (n = 9), and smoking status (n = 3), with clinical variables most commonly including tumor stage (n = 8), grade (n = 7), and lymph node involvement (n = 6). Most studies (n = 10) were of medium IJMEDI quality, with common areas of improvement being the descriptions of data preparation and deployment. CONCLUSIONS: ML holds promise for optimizing bladder cancer care through accurate OS predictions, but challenges related to data processing, feature selection, and data source quality must be resolved to develop robust models. While this review is limited by its inability to compare models across studies, this systematic review will inform decision-making by various stakeholders to improve understanding of ML-based OS prediction in bladder cancer and foster interpretability of future models.

An analysis type known as machine learning has recently become popular to predict survival in bladder cancer patients. However, there is debate on how to best use this method, as well as how to report the results of studies. This review looks at recently published machine learning studies, comparing various model details. Most studies found used hospital data, were clear about model factors, and used a model type called artificial neural networks. While these studies may be better at prediction compared to previous methods, there are consistency and clarity issues. Future studies should ensure that models are explainable and relevant to healthcare leaders.

Systematic Review of the Economic Evaluation of Sodium-Glucose Cotransporter-2 Inhibitors Used as Treatment in Patients with Heart Failure.

BACKGROUND: Sodium-glucose cotransporter-2 (SGLT2) inhibitors have been recently used as therapeutic agents for type 2 diabetes mellitus. Recent clinical trials have shown that they are beneficial for reducing the risk of cardiovascular mortality and hospitalization in patients with heart failure (HF). A comprehensive review regarding the cost-effectiveness of different SGLT2 inhibitors for HF treatment may be necessary to help clinicians and decision-makers select the most cost-effective HF treatment option. OBJECTIVE: This study conducted a systematic review of economic evaluation studies of SGLT2 inhibitors for the treatment of patients with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). METHOD: We searched PubMed, Cochrane, Embase, and EBSCOhost to identify published economic evaluation studies on SGLT2 inhibitors for HF treatment until May 2023. Studies on the economic evaluation of SGLT2 inhibitors in the treatment of HF were included. We extracted information such as country, population, intervention, type of model, health status, and conclusion of cost-effectiveness. RESULT: Of the 410 studies, 27 were finally selected. All economic evaluation studies used the Markov model, and commonly included health status as stable HF, hospitalization due to HF, and death. All dapagliflozin studies focused on patients with HFrEF (n = 13), and dapagliflozin was cost-effective in 14 countries, but not in the Philippines. All empagliflozin studies focused on the patients with HFrEF also showed the cost-effectiveness of empagliflozin (n = 11). However, empagliflozin use in patients with HFpEF was determined to be cost-effective in studies in Finland, China, and Australia studies but not in studies in Thailand and the USA. CONCLUSIONS: Most of the studies reported the cost-effectiveness of dapagliflozin and empagliflozin in patients with HFrEF. However, the cost-effectiveness of empagliflozin differed from country to country regarding patients with HFpEF. We suggest that further economic evaluation of SGLT2 inhibitors should focus on patients with HFpEF in more countries.

Hospital outcomes and costs for prostate cancer patients with comorbid heart failure by age group: An analysis of the US Nationwide Inpatient Sample.

RATIONALE, AIMS, AND OBJECTIVES: The prevalence of patients hospitalized with comorbid prostate cancer (PC) and heart failure (HF) has been steadily increasing. Both diseases share a set of common risk factors, with the most prominent being age. This study aimed to examine the outcomes and costs for patients with comorbid PC and HF, stratified by age. METHODS: We analyzed 41,340 hospitalization events of patients with PC using the US National Inpatient Sample from 2015 to 2018. Associations of HF with in-hospital mortality, length of stay (LOS), and hospital costs per hospitalization were measured using multivariable logistic regression, negative binomial regression, and generalized linear regression with log-link and gamma distribution, respectively, controlling for covariates. Subgroup analyses were performed for age groups <65 and ≥65. RESULTS: Visits of comorbid HF patients made up 2.3% (n = 952) of the PC study sample. Compared with PC patients without HF, those with HF had higher in-hospital mortality rates (odds ratio = 1.33, 95% confidence interval [CI] = 0.96-1.84, p = 0.085), longer hospital stays (incidence rate ratio = 1.32, 95% CI = 1.21-1.44, p < 0.001), and higher hospital costs (cost ratio = 1.17, 95% CI = 1.07-1.27, p = 0.001), controlling for covariates. On average, this amounted to a higher in-hospital mortality rate of 2.10%, an increased LOS of 1.73 days, and higher hospital costs of $2110 per patient. While in-hospital mortality did not differ significantly in patients aged <65 (p = 0.900), patients aged ≥65 had a 41% increased risk of in-hospital mortality compared with those without HF (p = 0.047). CONCLUSIONS: In comparison to those without HF, PC patients with comorbid HF showed higher rates of in-hospital mortality, LOS, and hospital costs, with mortality showing a significant difference exclusively in the ≥65 population. Effective management of older patients with PC is needed to improve outcomes and decrease costs.

Palliative care and healthcare utilization among metastatic breast cancer patients in U.S. Hospitals.

There is a lack of research focused on understanding the different characteristics and healthcare utilization of metastatic breast cancer patients by palliative care use. This study aims to investigate trend of in-patient palliative care and its association with healthcare utilization among hospitalized metastatic breast cancer patients in the US. National Inpatient Sample (NIS) was used to identify nationwide metastatic breast cancer patients (n = 5209, weighted n = 25,961) from 2010 to 2014. We examined the characteristics of the study sample by palliative care and its association with healthcare utilization, measured by discounted hospital charges and length of stay. Multivariable survey regression models were used to identify predictors. Among 26,961 breast cancer patients, 19.0% had palliative care. Percentage of receiving palliative care during the period were gradually increased. Social factors including race, insurance types were also associated with a receipt of palliative care. Survey linear regression results showed that patients with palliative care were associated with 31% lower hospital charges, however, length of stays were not significantly associated. This study found evidence of who was associated with the receipt of palliative care and its relationship with healthcare utilization. This study also emphasizes the importance of receiving palliative care in patients with breast cancer, paving the way for future research into ways to improve palliative care in cancer patients. This study also found social differences and gave evidence of programs that could be used to help vulnerable groups in future health policy decisions.

Dissatisfaction of Out-of-Pocket Costs and Problems Paying Medical Bills Among Medicare Beneficiaries With Type 2 Diabetes.

PURPOSE: The purpose of the study was to examine the relationship between satisfaction of Medicare coverage for out-of-pocket costs and problems paying medical bills among Medicare beneficiaries with type 2 diabetes. METHODS: The 2019 Medicare Current Beneficiary Survey Public Use File, a nationally representative sample of Medicare beneficiaries aged ≥65 years with type 2 diabetes, was analyzed (n = 2178). A survey-weighted multivariable logit regression model was conducted to examine the association between satisfaction of Medicare coverage for out-of-pocket costs and problems paying medical bills, adjusted for sociodemographics and comorbidities. RESULTS: Among study beneficiaries, 12.6% reported problems paying medical bills. Among those with and without problems paying medical bills, 59.5% and 12.8%, respectively, were dissatisfied with out-of-pocket costs. In the multivariable analysis, beneficiaries who were dissatisfied with out-of-pocket costs were more likely to report problems paying medical bills than those who were satisfied. Younger beneficiaries, beneficiaries with lower incomes, those with functional limitations, and those with multiple comorbidities were more likely to report problems paying medical bills. CONCLUSIONS: Despite having health care coverage, more than one-tenth of Medicare beneficiaries with type 2 diabetes reported problems paying medical bills, which raises concerns about delaying or forgoing needed medical care due to unaffordability. Screenings and targeted interventions that identify and reduce financial hardships associated with out-of-pocket costs should be prioritized.

Accessibility and Utilization of Telehealth Services During the COVID-19 Pandemic Among Medicare Beneficiaries by Diabetes Status.

Due to the influence types of telehealth services (i.e., phone and/or video) can have on patient care and outcomes, we sought to examine factors associated with the types of telehealth services offered and used among Medicare beneficiaries. We analyzed the Medicare Current Beneficiary Survey COVID-19 Public Use File (N = 1,403 and N = 2,218 for individuals with and without diabetes, respectively) and performed multinomial logit models to examine factors (e.g., sociodemographics, comorbidities, digital access/knowledge) associated with types of telehealth services offered and used among beneficiaries aged ≥65 years by diabetes status. Medicare beneficiaries seemed to prefer using telehealth via phone than video. Regardless of diabetes status, having not previously participated in video or voice calls or conferencing can be a barrier to telehealth being offered and used via video for beneficiaries. For older adults with diabetes, disparities in accessibility of telehealth via video by income and languages spoken other than English were observed. [Research in Gerontological Nursing, 16(3), 134-146.].

Adherence to Adjuvant Endocrine Therapy and Survival Among Older Women with Early-Stage Hormone Receptor-Positive Breast Cancer.

BACKGROUND AND OBJECTIVE: Although improving adherence to adjuvant endocrine therapies (AETs) is critical to ensure better patient outcomes, the evidence is still lacking on differences in 5-year AET adherence trajectories. This study aimed to estimate the time trend of adherence by the type of individual AET and the association of adherence to AETs with overall survival among older women with hormone receptor-positive breast cancer. METHODS: This study used the Surveillance, Epidemiology, and End Results-Medicare database 2006-2016. We included women aged ≥ 65 years with newly diagnosed hormone receptor-positive breast cancer and who had initiated AET (anastrozole, letrozole, exemestane, or tamoxifen). Adherence to AETs was defined as the proportion of days covered that was calculated for the follow-up period (5 years). The overall survival time was defined as the time from the date of AET initiation to death. The linear mixed models with repeated measures were used to estimate the changes in adherence to AETs. The Cox proportional hazard model was used to assess the relationships (hazard ratio [HR] and 95% confidence interval [CI]) between adherence to AETs and death. RESULTS: A total of 11,617 patients were included. Anastrozole was the most commonly used (n = 6,908), followed by letrozole (n = 2,586), tamoxifen (n = 1,750), and exemestane (n = 373). The mean (standard deviation) of proportion of days covered for 5 years was 57.4 (34.6), indicating the highest proportion of days covered in the anastrozole group [61.1 (34.1)] and the lowest proportion of days covered in the exemestane group [44.0 (35.1)]. Overall, adherence to AET decreased over the 5-year follow-up period in all AET groups, but the decrease in the tamoxifen group was steeper (42.3% decreased) compared with other AETs. Anastrozole, letrozole, and exemestane groups were associated with a lower risk of death compared with the tamoxifen group (HR = 0.80, 95% CI 0.71-0.89 for anastrozole; HR = 0.82, 95% CI 0.72-0.93 for letrozole; HR = 0.82, 95% CI 0.63-1.07 for exemestane). CONCLUSIONS: Patients who initiated with tamoxifen had a steeper decrease in adherence over the 5 years compared with anastrozole, letrozole, and exemestane groups. Furthermore, higher adherence was associated with a decreased risk of mortality. Physicians should be cognizant of decreasing adherence over time and choose effective treatment options with minimal side-effect profiles to better support adherence by patients with breast cancer.