Waitlist and posttransplant outcomes of pregnancy-related acute liver failure in the United States.

Data on the liver transplant (LT) outcomes of women with acute liver failure (ALF) due to liver diseases unique to pregnancy (P-ALF) are limited. Using United Network of Organ Sharing (UNOS) data (1987-2021), we analyzed waitlist and post-LT outcomes of ALF in women of childbearing age comparing P-ALF versus ALF due to liver diseases not unique to pregnancy. Baseline characteristics were compared between groups at the time of listing for LT. Of 3542 females aged 16-43 years and listed for LT for ALF, 84 (2%) listed for P-ALF were less likely to be Black (11 vs. 21%, p =0.033), have lower international normalized ratio (2.74 vs. 4.53 p <0.002), but more likely to have respiratory failure (56% vs. 41%, p <0.005), be on pressors (58% vs. 43%, p <0.005), and require dialysis (23% vs. 10%, p <0.001). The cumulative 90-day waitlist mortality (WLM) was lower in P-ALF vs. ALF due to liver diseases not unique to pregnancy (7.4 vs. 16.6%, p <0.001). Posttransplant survival rates at 5 years were similar (82% vs. 79%, p =0.89). In a Fine and Gray regression model controlled for listing year and Model for End-Stage Liver Disease score, 90-day WLM was lower in P-ALF with a sub-HR of 0.42 (95% CI: 0.19-0.94, p =0.035). Of 84 women with P-ALF and listed for LT, 45 listed for hemolysis-elevated liver enzymes-low platelets (HELLP) versus 39 for acute fatty liver of pregnancy had higher 90-day WLM (19.3% vs. 5.7% p <0.005). The 90-day WLM was about 10-fold higher in HELLP versus acute fatty liver of pregnancy with a sub-HR of 9.97 (95% CI: 1.64-60.55, p =0.013). In this UNOS database analysis of ALF among women of childbearing age, the waitlist outcome is better in women with P-ALF compared to women with ALF due to liver diseases not unique to pregnancy. Among women with P-ALF, the 90-day WLM is worse for HELLP versus acute fatty liver of pregnancy. Further studies are needed to improve the management of HELLP and prevent the development of ALF in this subgroup population.

Patterns of gabapentinoid use among long-term opioid users.

OBJECTIVE: Understanding the clinical and demographic profile of patients on gabapentinoids can highlight areas of prescribing disparities, inform clinical practice, and guide future research to optimize effectiveness and safety of gabapentinoids for pain management. We used a national sample of Medicare beneficiaries to examine trends, patterns, and patient-level predictors of gabapentinoid use among long-term opioid users. METHODS: Using a national Medicare sample between 2014 and 2020, we examined factors associated with gabapentinoid use among long-term opioid users. We included Medicare eligible long-term opioid users with no prior gabapentinoid use. The primary outcome was gabapentinoid use after the long-term opioid use episode. Logistic regression was used to test the association with gabapentinoid use for year, age, sex, race/ethnicity, region, Medicare entitlement, low-income status, frailty, pain locations, anxiety, depression, opioid use disorder, and opioid morphine milligrams equivalent. RESULTS: Gabapentinoid use among long-term opioid users increased from 12.6% in 2014 to 16.8% in 2019 (p < .0001). Factors associated with increased gabapentinoid use were Hispanic ethnicity, back pain, nerve pain, and moderate or high opioid usage. Factors associated with decreased gabapentinoid use were older age and Medicare entitlement due to old age. CONCLUSIONS: Variation of gabapentinoid use by socio-demographics and insurance status indicates opportunities to improve pain management and a need for shared therapeutic decision making informed by discussion between pain patients and providers regarding safety and effectiveness of pain therapies. Our findings underscore the need for future research into the comparative effectiveness and safety of gabapentinoids for non-cancer chronic pain in various subpopulations.

Inequitable access to nonpharmacologic pain treatment providers among cancer-free U.S. adults.

OBJECTIVE: Using evidence-based nonpharmacologic pain treatments may prevent opioid overuse and associated adverse outcomes. There is limited data on the impact of access-promoting social determinants of health (SDoH: education, income, transportation) on use of nonpharmacologic pain treatments. Our objective was to examine the relationship between SDoH and use of nonpharmacologic pain treatment providers. Our goal was to understand policy-actionable factors contributing to inequity in pain treatment. METHODS: Based on Andersen's Health Utilization Model, this cross-sectional analysis of 2016-2019 Medical Expenditure Panel Survey data evaluated whether use of outpatient nonpharmacologic pain treatment providers is driven by enabling (i.e., advantageous socioeconomic resources) or need (i.e., perceived disability and diagnosed disease) factors. The study sample (unweighted n = 28,188) represented a weighted N = 81,912,730 noninstitutionalized, cancer-free, U.S. adults with pain interference. The primary outcome measured use of nonpharmacologic providers relative to exclusive prescription opioid use or no treatment (i.e., neither opioids nor nonpharmacologic). To quantify equitable access, we compared the variance-between access-promoting enabling factors versus medical need factors-that explained utilization. RESULTS: Compared to enabling factors, need factors explained twice the variance predicting pain treatment utilization. Still, the adjusted odds of using nonpharmacologic providers instead of opioids alone were 39% lower among respondents identifying as Black (95% Confidence Interval [CI], 0.49-0.76) and respondents residing in the U.S. South (95% CI, 0.51-0.74). Higher education (95% CI, 1.72-2.79) and income (95% CI, 1.68-2.42) both facilitated using nonpharmacologic providers instead of opioids. CONCLUSIONS: These findings highlight the substantial influence access-promoting SDoH have on pain treatment utilization.

Signal detection of adverse events associated with gabapentinoid use for chronic pain.

INTRODUCTION: Gabapentinoids (GABA) prescribing as a potential and conceivably safer substitute for opioids has substantially increased. Understanding all potential adverse drug events (ADEs) associated with GABA will guide clinical decision-making for pain management. METHODS: A 20% sample of Medicare enrollees with new chronic pain diagnoses in 2017-2018 was selected. GABA users were those with >=30 consecutive days prescription in a year without opioid prescription. Opioid users were similarly defined. The control group used neither of these drugs. Propensity score match across three groups based on demographics and comorbidity was performed. We used proportional reporting ratio (PRR), Gamma Poisson Shrinker, and tree-based scan statistic (TBSS) to detect ADEs within 3, 6, and 12 months of follow-up. RESULTS: Immunity disorder was detected within 3 months of follow-up by PRR compared to opioid use (PRR:2.33), and by all three methods compared to controls. Complications of transplanted organs/tissues and schizophrenia spectrum/other psychotic disorders were consistently detected by PRR and TBSS within 3 months. Skin disorders were detected by TBSS; and stroke was detected by PRR within 3 months compared to opioid use (PRR:4.74). Some malignancies were detected by PRR within 12 months. Other signals detected in GABA users were neuropathy and nerve disorders. CONCLUSIONS: Our study identified expected and unexpected ADE signals in GABA users. Neurological signals likely related to indications for GABA use. Signals for immunity, mental/behavior, and skin disorders were found in the FDA adverse event reporting system database. Unexpected signals of stroke and cancer require further confirmatory analyses to verify.

Trends in Diabetes Medication Taking and Incidence of Depression in Patients with Type 2 Diabetes: A Retrospective Cohort Study from 2010 to 2018.

BACKGROUND: This study examined the trends in diabetes medication taking and its association with the incidence of depression in patients with type 2 diabetes (T2D). METHOD: A retrospective cohort of Medicare enrollees with regular care in 2010 was defined from 100% Texas Medicare claims. The impact of medication taking on incident depression was evaluated from 2010 to 2018. Cox proportional hazards regressions were used to estimate the association between medication taking and depression. RESULTS: A total of 72,461 patients with T2D and with regular care were analyzed. Among 60,216 treated patients, the regular medication taking rate slightly increased from 60.8 to 63.2% during the study period. Patients with regular medication taking at baseline had a 9% lower risk of developing depression (hazard ratio [HR]: 0.91, 95% confidence interval [CI]: 0.89-0.94), and the magnitude of the association increased after adjustment of the model for time-varied medication taking (HR: 0.82, 95% CI: 0.79-0.85). The presence of nephropathy had the greatest mediating effect (23.2%) on the association of medication taking and depression. CONCLUSION: We demonstrated a steady but modest increase in regular diabetes medication taking over a 9-year period and a significant relationship between medication taking and incident depression in patients with T2D.

Disparities in the Timeliness of Addressing Patient-Initiated Telephone Calls in a Primary Care Clinic: The Impact of Quality Improvement Interventions.

A timely response to patient-initiated telephone calls can affect many aspects of patient health, including quality of care and health equity. Historically, at a family medicine residency clinic, at least 1 out of 4 patient calls remained unresolved three days after the call was placed. We sought to explore whether there were differential delays in resolution of patient concerns for certain groups and how these were affected by quality improvement interventions to increase responsiveness to patient calls. A multidisciplinary team at a primary care residency clinic applied Lean education and tools to improve the timeliness of addressing telephone encounters. Telephone encounter data were obtained for one year before and nine months after the intervention. Data were stratified by race, ethnicity, preferred language, sex, online portal activation status, age category, zip code, patient risk category, and reason for call. Stratified data revealed consistently worse performance on telephone encounter closure by 72 hours for Black/African American patients compared to Hispanic and non-Hispanic White patients pre-intervention. Interventions resulted in statistically significant overall improvement, with an OR of 2.9 (95% CI: 2.62 to 3.21). Though interventions did not target a specific population, pre-intervention differences based on race and ethnicity resolved post-intervention. Telephone calls serve as an important means of patient communication with care teams. General interventions to improve the timeliness of addressing telephone encounters can lead to sustainable improvement in a primary care academic clinic and may also alleviate disparities.

Pain Control Associated With Gabapentinoid Prescription After Elective Total Knee Arthroplasty.

BACKGROUND: Gabapentinoid (GABA) prescribing has substantially increased as a nonopioid analgesics for surgical conditions. We examined the effectiveness of GABA use for postoperative pain control among patients receiving total knee arthroplasty (TKA). METHODS: This retrospective cohort study using 2016 to 2019 data from a 20% national sample of Medicare enrollees included patients aged 66 and over years who received an elective TKA, were discharged to home, received home health care, and had both admission and discharge assessments of pain (n = 35,186). Study outcomes were pain score difference between admission and discharge and less-than-daily pain interfering with activity at discharge. Opioid and GABA prescriptions after surgery and receipt of nerve block within 3 days of surgery were also assessed. RESULTS: There were 30% of patients who had a pain score decrease of 3 to 4 levels and 55.8% had pain score decreases of 1 to 2 levels. In multivariable analyses, receiving a nerve block was significantly associated with pain score reduction. A GABA prescription increased the magnitude of pain score reduction among those receiving a nerve block. Results from inverse probability weighted analysis with propensity score showed that coprescribing of GABA and low-dose opioid was associated with significantly lower pain scores. CONCLUSIONS: Post-TKA opioid use was not associated with pain score reduction. Receiving a nerve block was associated with a modest pain score reduction. Co-prescribing GABA with low-dose opioid or receiving a nerve block was associated with increasing magnitudes of pain reduction. Further research should identify alternatives to opioid use for managing postoperative TKA pain.

Rural racial disparities and barriers in mammography utilization among Medicare beneficiaries in Texas: A longitudinal study.

This study examined rural racial/ethnic disparities in long-term mammography screening practices among Medicare beneficiaries. A retrospective longitudinal study was conducted using 100% Texas Medicare data for women aged 65-74 who enrolled in Medicare between 2010-2013. Of the 114,939 eligible women, 21.2% of Hispanics, 33.3% of non-Hispanic Blacks (NHB), and 38.4% non-Hispanic Whites (NHW) in rural areas were regular users of mammography, compared to 33.5%, 44.9%, and 45.3% of their counterparts in urban areas, respectively. Stratification analyses showed rural Hispanics and NHB were 33% (95% CI, 25% - 40%) and 22% (95% CI, 6% - 36%) less likely to be regular users of mammography compared to their urban counterparts. Major barriers to routine mammography screening included the lack of a primary care provider, frequent hospitalization, and comorbidity. The findings of this study highlight the importance of addressing rural racial disparities in mammography utilization among older women to ensure equitable screening practices for all populations.

Disparities in screening mammography utilization among Hispanic women in rural Texas from 2002 to 2018.

PURPOSE: To examine the trends of racial/ethnic and urban-rural disparities in screening mammography use with a focus on Hispanic women in rural Texas, as well as to further investigate barriers to mammography screening practices. METHODS: A serial cross-sectional study was conducted on screening mammography including eligible female respondents (≥ 40 years) from the Texas Behavioral Risk Factor Surveillance System survey from 2002 to 2018. FINDINGS: Weighted descriptive analyses showed persistent racial/ethnic and urban-rural disparities in mammography screening rates among eligible women (≥ 40 years) in Texas. Overall, the mammography screening rates for women in rural areas were significantly lower than women in urban areas with a mean rate of 64.09% versus 70.89% (p < 0.001). Rural Hispanic women had the lowest mean mammography screening rate (55.98%) among all eligible women which is 16.27% below the mean mammography screening rate of non-Hispanic white women in urban areas. Weighted logistic regression model revealed that women with no health insurance or primary care providers were 52% (95% Confidence Interval [CI] 0.36-0.63, p < 0.001) or 54% (95% CI 0.35-0.6, p < 0.001) less likely having an up-to-date mammography screening compared with women with health insurance or primary care providers, respectively. CONCLUSIONS: Our study demonstrated significant and persistent racial and urban-rural disparities in screening mammography utilization among Hispanic women compared with non-Hispanic white women from 2002 to 2018. Healthcare access is a major contributor to these disparities. It highlights the need for wide-scale interventions from public health and policymakers targeting under screened racial minorities and rural regions population to promote screening mammography services among disadvantaged population.

National trends in osteoporosis medication use among Medicare beneficiaries with and without Alzheimer's disease/related dementias.

BACKGROUND: Osteoporotic fractures  are a leading cause of disability and premature death in the elderly. Patients with Alzheimer's and related dementia (ADRD) have high rates of osteoporosis (OP) and substantial risk of osteoporotic fractures. Yet research is sparse on trends and predictors of OP medication use in ADRD. METHODS: Medicare beneficiaries with OP aged ≥ 67 years have Medicare parts A/B/D without HMO from 2016 to 2018. Our outcome was receipt of OP medications in 2018. A multivariable logistic regression assessed association between ADRD and OP drug prescribing, adjusted for age, sex, race, region, Medicare entitlement, dual Medicaid eligibility, chronic conditions, number of provider visits/hospitalizations, and nursing home (NH) resident status. Age/ADRD and NH residency/ADRD interactions were tested. RESULTS: Our sample consisted of 47,871 people with OP and ADRD and 201,840 with OP without ADRD. OP drug use was 38.6% in ADRD patients vs. 52.7% in non-ADRD. After adjustment for demographics, chronic conditions, and previous hospitalizations/physician visits, the OR for OP drug in ADRD vs. non-ADRD was 0.85 (95% CI: 0.83-0.87). NH residents had lower odds for OP medication (OR: 0.61, 95% CI: 0.58-0.64). There were significant interactions between ADRD and age, and between ADRD and NH residency. The OR for OP drug use associated with ADRD was 0.88 (95% CI: 0.86-0.90) among community-dwelling elders and 0.66 (95% CI: 0.64-0.69) among NH residents. CONCLUSIONS: ADRD patients received OP drugs at a lower rate than their non-ADRD counterparts. More research is needed on when to prescribe or deprescribe OP drugs in the context of different ADRD severity, patient preferences, remaining life expectancy, and time-to-benefit from OP drugs.

Co-prescribing of Central Nervous System-Active Medications for COPD Patients: Impact on Emergency Room Visits and Hospitalization.

BACKGROUND: Anxiety and chronic pain are common comorbidities in patients with chronic obstructive pulmonary disease (COPD), which are frequently managed with benzodiazepines (BZDs) and opioids, respectively. OBJECTIVE: The purpose of this study was to determine whether different combinations of opioids, BZD, and their substitutes-gabapentinoids (GABA) and selective serotonin reuptake inhibitors/serotonin-norepinephrine reuptake inhibitors (SSRIs/SNRIs)-are associated with lower risk of acute respiratory events in COPD patients with co-occurring chronic pain and anxiety. METHODS: This retrospective cohort study used a nationally representative sample of Medicare beneficiaries with COPD, chronic pain, and anxiety. Patients were grouped based on drug combination (opioid + BZD/Z-hypnotics, opioid + GABA, opioid + SSRI/SNRI, BZD/Z-hypnotics + GABA, BZD/Z-hypnotics + SSRI/SNRI, GABA + SSRI/SNRI, or ≥3 drugs). The primary outcome was emergency room (ER) visit or hospitalization due to acute respiratory events assessed up to 180 days following initiation of drug combination. Overdose secondary to central nervous system (CNS)-related drugs was also assessed up to 180 days following initiation of drug combination. RESULTS: The drug combination opioid + GABA was associated with decreased risk for ER visit (hazard ratio [HR] = 0.73; 95% CI = 0.61-0.87) and hospitalization (HR = 0.69; 95% CI = 0.55-0.85). Opioid + SSRI/SNRI also showed decreased risk for ER visit (HR = 0.84; 95% CI = 0.71-0.99). There was no significant difference in risk for CNS-related drug overdose among different drug combinations compared with opioid + BZD/Z-hypnotics. CONCLUSION AND RELEVANCE: Opioids in combination with GABA and SSRI/SNRI demonstrate relatively lower risk for acute respiratory events among patients with COPD and comorbid chronic pain and anxiety. The findings emphasize the need for multimodal management in this vulnerable population.

Association of Previous Gastric Bypass Surgery and Patient Outcomes in Alcohol-Associated Cirrhosis Hospitalizations.

BACKGROUND AND AIM: Roux-En-Y gastric bypass (RYGB) is associated with risk of alcohol use disorder. The impact of RYGB among patients with alcohol-associated liver disease (ALD) remains unknown. METHODS: A retrospective cohort from National Inpatient Sample (01/2006-09/2015) database on 421,156 admissions with alcohol-associated cirrhosis (AC) was stratified for non-primary discharge diagnosis of previous RYGB. Admissions with RYGB (cases) were matched 1:3 to without RYGB (controls) based on propensity score on demographics, calendar year, socioeconomic status (insurance and zip code income quartile), obesity, diabetes, anxiety, and alcohol use disorder. Primary outcome was concomitant discharge diagnosis of alcoholic hepatitis (AH) or development of acute on chronic liver failure (ACLF). RESULTS: Of 10,168 admissions (mean age 49 yrs., 75% females, 79% whites), cases (N = 2542) vs. controls had higher prevalence of concomitant AH (18.8 vs. 17%, P = 0.032), hepatic encephalopathy (31 vs. 25%), infection (28 vs. 24%), and grade 3 ACLF (13 vs. 5%), P < 0.001. Conditional logistic regression models showed higher odds for AH, hepatic encephalopathy, and infection among cases. In-hospital mortality of 6.3% (43% in ACLF) was lower in cases, but similar in the sub-cohorts of AH (N = 1768) or ACLF (N = 768). Results were similar in a sensitivity analysis of matched cohort of 2016 hospitalizations (504 cases) with primary discharge diagnosis of AC. CONCLUSION: Among patients with AC, previous RYGB is associated with increased likelihood of concomitant AH, hepatic encephalopathy, and infection, but similar in-hospital mortality. Prospective studies are needed to validate, determine causality, and understand mechanisms of these findings among patients with alcohol-associated cirrhosis.

Increase in the Initial Outpatient Rehabilitation Utilization for Patients With Total Knee Arthroplasty.

OBJECTIVES: The objective of this study was to examine the patient characteristics and features associated with the initial rehabilitation utilization with a particular emphasis on outpatient rehabilitation after total knee arthroplasty (TKA) among 2016-2018 Texas Medicare enrollees. DESIGN: This is a retrospective cohort study. We used chi-square tests to examine the variability in patient demographic and clinical characteristics across the different post-acute rehabilitation settings after TKA. A Cochran-Armitage trend test was used to investigate the yearly trend of outpatient rehabilitation utilization after TKA. SETTING: Post-acute rehabilitation settings after TKA. PARTICIPANTS: The target population was Medicare beneficiaries aged ≥65 with an initial TKA in 2016-2018 and complete demographic and residential information (N=44,313). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: We identified whether patients first used (1) outpatient rehabilitation, (2) home health, (3) self-care, (4) inpatient rehabilitation, (5) skilled nursing, or (6) other setting within the 3 months after TKA. RESULTS: Our results demonstrated an increasing use of the initial outpatient rehabilitation and home health, while the use of skilled nursing and inpatient rehabilitation facilities decreased from 2016 to 2018. The increase in outpatient utilization was significant in 2018 compared with 2016 controlling for distance to the TKA facilities, comorbid conditions, sex, race/ethnicity groups (White, Black, Hispanic, and Others), lower income (Medicaid eligible), Medicare entitlement types, age groups, and rurality (OR 1.23, 95% CI 1.12-1.34). However, the overall utilization rate of the initial outpatient rehabilitation after TKA remained low, increasing from 7.36% in 2016 to 8.60% in 2018. CONCLUSION: Despite the growing use of the initial outpatient rehabilitation after TKA, the overall rate of outpatient rehabilitation utilization remained low. Our findings raise an important question as to whether certain patient demographics and clinical groups might have limited access to outpatient rehabilitation after TKA.

Assessing incident depression among older people with and without HIV in U.S.

PURPOSE: Despite substantially higher prevalence of depression among people living with HIV/AIDS (PLWHA), few data exist on the incidence and correlates of depression in this population. This study assessed the effect of HIV infection, age, and cohort period on the risk of developing depression by sex among older U.S. Medicare beneficiaries. METHODS: We constructed a retrospective matched cohort using a 5% nationally representative sample of Medicare beneficiaries (1996-2015). People with newly diagnosed (n = 1309) and previously diagnosed (n = 1057) HIV were individually matched with up to three beneficiaries without HIV (n = 6805). Fine-Gray models adjusted for baseline covariates were used to assess the effect of HIV status on developing depression by sex strata. RESULTS: PLWHA, especially females, had higher risk of developing depression within five years. The relative subdistribution hazards (sHR) for depression among three HIV exposure groups differed between males and females and indicated a marginally significant interaction (p = 0.08). The sHR (95% CI) for newly and previously diagnosed HIV (vs. people without HIV) were 1.6 (1.3, 1.9) and 1.9 (1.5, 2.4) for males, and 1.5 (1.2, 1.8) and 1.2 (0.9, 1.7) for females. The risk of depression increased with age [sHR 1.3 (1.1, 1.5), 80 + vs. 65-69] and cohort period [sHR 1.3 (1.1, 1.5), 2011-2015 vs. 1995-2000]. CONCLUSIONS: HIV infection increased the risk of developing depression within 5 years, especially among people with newly diagnosed HIV and females. This risk increased with older age and in recent HIV epidemic periods, suggesting a need for robust mental health treatment in HIV primary care.

Addressing non-response data for standardized post-acute functional items.

BACKGROUND: The post-acute patient standardized functional items (Section GG) include non-response options such as refuse, not attempt and not applicable. We examined non-response patterns and compared four methods to address non-response functional data in Section GG at nation-wide inpatient rehabilitation facilities (IRF). METHODS: We characterized non-response patterns using 100% Medicare 2018 data. We applied four methods to generate imputed values for each non-response functional item of each patient: Monte Carlo Markov Chains multiple imputations (MCMC), Fully Conditional Specification multiple imputations (FCS), Pattern-mixture model (PMM) multiple imputations and the Centers for Medicare and Medicaid Services (CMS) approach. We compared changes of Spearman correlations and weighted kappa between Section GG and the site-specific functional items across impairments before and after applying four methods. RESULTS: One hundred fifty-nine thousand six hundred ninety-one Medicare fee-for-services beneficiaries admitted to IRFs with stroke, brain dysfunction, neurologic condition, orthopedic disorders, and debility. At discharge, 3.9% (self-care) and 61.6% (mobility) of IRF patients had at least one non-response answer in Section GG. Patients tended to have non-response data due to refused at discharge than at admission. Patients with non-response data tended to have worse function, especially in mobility; also improved less functionally compared to patients without non-response data. Overall, patients coded as 'refused' were more functionally independent in self-care and patients coded as 'not applicable' were more functionally independent in transfer and mobility, compared to other non-response answers. Four methods showed similar changes in correlations and agreements between Section GG and the site-specific functional items, but variations exist across impairments between multiple imputations and the CMS approach. CONCLUSIONS: The different reasons for non-response answers are correlated with varied functional status. The high proportion of patients with non-response data for mobility items raised a concern of biased IRF quality reporting. Our findings have potential implications for improving patient care, outcomes, quality reporting, and payment across post-acute settings.

Development and Evaluation of Rehabilitation Service Areas for the United States.

BACKGROUND: Geographic areas have been developed for many healthcare sectors including acute and primary care. These areas aid in understanding health care supply, use, and outcomes. However, little attention has been given to developing similar geographic tools for understanding rehabilitation in post-acute care. The purpose of this study was to develop and characterize post-acute care Rehabilitation Service Areas (RSAs) in the United States (US) that reflect rehabilitation use by Medicare beneficiaries. METHODS: A patient origin study was conducted to cluster beneficiary ZIP (Zone Improvement Plan) code tabulation areas (ZCTAs) with providers who service those areas using Ward's clustering method. We used US national Medicare claims data for 2013 to 2015 for beneficiaries discharged from an acute care hospital to an inpatient rehabilitation facility (IRF), skilled nursing facility (SNF), long-term care hospital (LTCH), or home health agency (HHA). Medicare is a US health insurance program primarily for older adults. The study population included patient records across all diagnostic groups. We used IRF, SNF, LTCH and HHA services to create the RSAs. We used 2013 and 2014 data (n = 2,730,366) to develop the RSAs and 2015 data (n = 1,118,936) to evaluate stability. We described the RSAs by provider type availability, population, and traveling patterns among beneficiaries. RESULTS: The method resulted in 1,711 discrete RSAs. 38.7% of these RSAs had IRFs, 16.1% had LTCHs, and 99.7% had SNFs. The number of RSAs varied across states; some had fewer than 10 while others had greater than 70. Overall, 21.9% of beneficiaries traveled from the RSA where they resided to another RSA for care. CONCLUSIONS: Rehabilitation Service Areas are a new tool for the measurement and understanding of post-acute care utilization, resources, quality, and outcomes. These areas provide policy makers, researchers, and administrators with small-area boundaries to assess access, supply, demand, and understanding of financing to improve practice and policy for post-acute care in the US.

Rural and urban differences in lifetime occupation and its influence on mortality among Mexican adults.

OBJECTIVE: To determine how primary lifetime occupation type is associated with mortality, and how the relationship varies by rural and urban dwelling. MATERIALS AND METHODS: Data come from 2001-2018 Mexican Health and Aging Study (adults aged 50+, n=11 094). We created five occupation categories. Cox proportional hazard models predicted mortality using baseline covariates. RESULTS: In both rural and urban settings, participants with manual jobs, such as agriculture and production/industrial jobs, had an increased risk of mortality compared to those with administrative/professional jobs. In urban settings, participants in the domestic/service and no main job categories had higher risk of mortality than those in the administrative/professional category. For men these differences remained, but not for women. CONCLUSION: In a context of rural and urban demographic shifts, it is crucial to consider the implications that occupation as a socioeconomic factor can have on health and to identify the most vulnerable groups.

Disease-Modifying Antirheumatic Drug Use and Its Effect on Long-term Opioid Use in Patients With Rheumatoid Arthritis.

BACKGROUND/OBJECTIVES: The prevalence of chronic pain is high in patients with rheumatoid arthritis (RA), increasing the risk for opioid use. The objective of this study was to assess disease-modifying antirheumatic drug (DMARD) use and its effect on long-term opioid use in patients with RA. METHODS: This cohort study included Medicare beneficiaries with diagnosis of RA who received at least 30-day consecutive prescription of opioids in 2017 (n = 23,608). The patients were grouped into non-DMARD and DMARD users, who were further subdivided into regimens set forth by the American College of Rheumatology. The outcome measured was long-term opioid use in 2018 defined as at least 90-day consecutive prescription of opioids. Dose and duration of opioid use were also assessed. A multivariable model identifying factors associated with non-DMARD use was also performed. RESULTS: Compared with non-DMARD users, the odds of long-term opioid use were significantly lower among DMARD users (odds ratio, 0.89; 95% confidence interval, 0.83-0.95). All regimens except non-tumor necrosis factor biologic + methotrexate were associated with lower odds of long-term opioid use relative to non-DMARD users. The mean total morphine milligram equivalent, morphine milligram equivalent per day, and total days of opioid use were lower among DMARD users compared with non-DMARD users. Older age, male sex, Black race, psychiatric and medical comorbidities, and not being seen by a rheumatologist were significantly associated with non-DMARD use. CONCLUSION: Disease-modifying antirheumatic drug use was associated with lower odds of long-term opioid use among RA patients with baseline opioid prescription. Factors associated with non-DMARD use represent a window of opportunity for intervention to improve pain-related quality of life in patients living with RA.

Adjuvant chemotherapy in patients with invasive lobular carcinoma and use of the 21-gene recurrence score: A National Cancer Database analysis.

BACKGROUND: Invasive lobular carcinoma (ILC) is traditionally considered less responsive to chemotherapy. Although the Oncotype recurrence score (RS) has been validated to identify high-risk patients who benefit from chemotherapy, some studies have questioned its relevance in patients with ILC. The objective of this study was to better characterize potential use of the RS in these patients. METHODS: The National Cancer Database was used to identify women with stage I through III, T1 through T3, N0 or N1, hormone receptor-positive, HER2-negative ILC or invasive ductal carcinoma (IDC) who had an available RS between 2010 and 2016. Multivariable Cox regression was used to model the effect of variables on 5-year overall survival (OS). The Kaplan-Meier method was used to estimate OS according to the RS, nodal status, and chemotherapy. RESULTS: In total, 15,763 patients with ILC and 100,070 with IDC were identified. The mean age of patients with ILC and IDC was 59.2 ± 9.1 and 57.2 ± 9.8, respectively. A lower percentage of patients with ILC versus those with IDC had a high RS, defined as >25 (6.6% vs 16.0%; P < .0001). ILC patients with a high RS who had N0 or N1 disease received approximately 10% less chemotherapy compared with similar patients who had IDC. The results indicated that the RS had statistically significant prognostic value for patients with ILC. In addition, an absolute OS advantage was correlated with the receipt of chemotherapy by patients with ILC who had a high RS with N0 or N1 disease. CONCLUSIONS: Patients with ILC who have a high RS are treated less often with chemotherapy compared with similar patients who have IDC. Nevertheless, the RS has a prognostic as well as a predictive value in ILC, with an association between OS benefit and chemotherapy receipt in patients who have ILC with a high RS, especially if they have N1 disease. LAY SUMMARY: Invasive lobular carcinoma (ILC) is a subtype of breast cancer comprising about 15% of cases. The Oncotype recurrence score (RS) is a genetic test of breast tumors that helps predict which patients might benefit from chemotherapy. Some have doubted the relevance of the RS for patients with ILC. In this study, the authors show that the RS is relevant for patients who have ILC. The RS has the potential of predicting the risk of recurrence and identifying patients with ILC who might benefit from chemotherapy.

Signal Detection of Adverse Events Associated with Trastuzumab in a Cohort of Elderly Patients with Breast Cancer.

AIM: Utilization of signal detection methods in longitudinal claims data can improve post-marketing drug surveillance, but to date there has been limited application. The aim of this study is to use 3 approaches, the proportional reporting ratio, Gamma Poisson Shrinker, and tree-based scan statistic in detecting adverse drug events (ADEs) attributed to trastuzumab using an administrative claims dataset. METHODS: Using data from the Texas Cancer Registry and SEER linked to Medicare from 2010 to 2013, we conducted 1:2 propensity score matching. Breast cancer HER2+ patients treated with trastuzumab in addition to standard chemotherapy were matched to HER2- patients treated with standard chemotherapy. Inpatient and outpatient encounters up to 6 months from start of therapy were used to identify adverse events. RESULTS: A total of 4191 patients were included in the study. Across all methods, use of trastuzumab generated signals on 9 distinct body systems. Cardiomyopathy and heart valve disease were the most consistently detected signals. Clinical review determined that most signals represented known ADEs. CONCLUSIONS: We showed that claims data can be used to complement current ADE monitoring using common data mining methods with propensity score matching. Our analysis identified all expected ADEs associated with trastuzumab, and additional signals of valvular heart disorders.