Telepharmacy Model of Care.

PURPOSE: This study assessed the feasibility of the Telepharmacy Model of Care, a medication review and deprescribing model for use in older adults, with innovations in cognitive and functional evaluation, in telemedicine delivery, and in the use of a pharmacy technician. METHODS: This retrospective medical record review/abstraction analyzed (from March 1, 2022, to December 31, 2022) data from US veteran participants in a pilot implementation (April 13, 2021, to May 20, 2022) of the Telepharmacy Model of Care at the Veterans Affairs Ann Arbor Healthcare System (Ann Arbor, Michigan). The project team assessed and made recommendations about multiple factors in medication management: medication list accuracy; safety of medications and their combinations; older adults' cognition, health literacy, and physical abilities and impairments in self-managing medications; and caregivers' ability to compensate for those impairments. FINDINGS: The pilot included 60 US veterans (mean age, 75 years [range, 59-93 years]; 97% were men). Overall, participants were successful in using telemedicine (98%). Encounters required 30 to 45 minutes for the visit and 20 minutes for follow-up and documentation (P = 0.14 pharmacist vs pharmacy technician). The median number of medications per patient was 18. A total of 57% of patients had four or more medication-related discrepancies; fewer patients experienced medication-adherence problems, drug-drug interactions, problematic medication combinations, and untreated/undertreated conditions. Using the Safe Medication Algorithm for Older Adults tool, 35% were identified as taking a Red Flag medication (contraindicated in older adults), and 74%, a High Risk medication (eg, an anticoagulant). A total of 37% had cognitive and health literacy impairments, and 45%, physical impairments, interfering with the ability to self-manage medications. Recommendations on deprescribing were made in 98% of patients. IMPLICATION: The telemedicine-based and pharmacist/pharmacy technician-delivered model was a feasible method for addressing comprehensive medication review and deprescribing in these cognitively and functionally impaired US veterans.

Use of Real Time Clinical Video Telehealth to Home by primary care providers within the Veterans Health Administration during the first wave of the COVID-19 pandemic: variability across VA stations and with time.

Objective: Determine the extent to which use of Clinical Video Telehealth to Home (VT2H) for primary care licensed independent practitioner visits (PCLIPVs) varied over time and across the Veterans Health Administration (VA) during the first 18 months of the COVID pandemic, and if there was an association between VT2H usage and VA station characteristics. Materials and Methods: All outpatient encounters (n = 12 143 456) for Veterans (n = 4 373 638) that had VA PCLIPVs during the period of observation were categorized as conducted by VT2H, in-person, or telephone. The change over time in the percentage of total PCLIPVs conducted by VT2H was plotted and associations between VA station characteristics and VT2H usage were analyzed using simple statistics and negative binomial regression. Results: Between March 2020 and mid-August 2020, VT2H visits increased from <2% to 13% of all VA PCLIPVs. However, VT2H usage varied substantively by VA station and declined system-wide to <9% of PCLIPVs by July 2021. VA stations that serve a greater proportion of rural Veterans were found less likely to use VT2H. Discussion: The VA was successful in increasing the use of VT2H for PCLIPVs during the first phase of the COVID pandemic. However, VT2H usage varied by VA station and over time. Beyond rurality, it is unknown what station characteristics may be responsible for the variance in VT2H use. Conclusion: Future investigation is warranted to identify the unique practices employed by VA stations that were most successful in using VT2H for PCLIPVs and whether they can be effectively disseminated to other stations.

Primary care physicians' perspectives and challenges on managing multimorbidity for patients with dementia: a Japan-Michigan qualitative comparative study.

BACKGROUND: Multimorbidity management can be extremely challenging in patients with dementia. This study aimed to elucidate the approaches of primary care physicians in Japan and the United States (US) in managing multimorbidity for patients with dementia and discuss the challenges involved. METHODS: This qualitative study was conducted through one-on-one semi-structured interviews among primary care physicians, 24 each from Japan and Michigan, US. Thematic and content analyses were performed to explore similarities and differences among each country's data. RESULTS: Primary care physicians in Japan and Michigan applied a relaxed adherence to the guidelines for patients' chronic conditions. Common challenges were the suboptimal consultation time, the insufficient number or ability of care-coordinating professionals, patients' conditions such as difficulties with self-management, living alone, behavioral issues, and refusal of care support. Unique challenges in Japan were free-access medical systems and not being sure about the patients' will in end-of-life care. In Michigan, physicians faced challenges in distance and lack of transportation between clinics and patients' homes and in cases where patients lacked the financial ability to acquire good care. CONCLUSIONS: To improve the quality of care for patients with multimorbidity and dementia, physicians would benefit from optimal time and compensation allocated for this patient group, guidelines for chronic conditions to include information regarding changing priority for older adults with dementia, and the close collaboration of medical and social care and community resources with support of skilled care-coordinating professionals.

Associations of Age at Diagnosis and Duration of Diabetes With Morbidity and Mortality Among Older Adults.

Importance: Older adults vary widely in age at diagnosis and duration of type 2 diabetes, but treatment often ignores this heterogeneity. Objectives: To investigate the associations of diabetes vs no diabetes, age at diagnosis, and diabetes duration with negative health outcomes in people 50 years and older. Design, Setting, and Participants: This cohort study included participants in the 1995 through 2018 waves of the Health and Retirement Study (HRS), a population-based, biennial longitudinal health interview survey of older adults in the US. The study sample included adults 50 years or older (n = 36 060) without diabetes at entry. Data were analyzed from June 1, 2021, to July 31, 2022. Exposures: The presence of diabetes, specifically the age at diabetes diagnosis, was the main exposure of the study. Age at diagnosis was defined as the age when the respondent first reported diabetes. Adults who developed diabetes were classified into 3 age-at-diagnosis groups: 50 to 59 years, 60 to 69 years, and 70 years and older. Main Outcomes and Measures: For each diabetes age-at-diagnosis group, a propensity score-matched control group of respondents who never developed diabetes was constructed. The association of diabetes with the incidence of key outcomes-including heart disease, stroke, disability, cognitive impairment, and all-cause mortality-was estimated and the association of diabetes vs no diabetes among the age-at-diagnosis case and matched control groups was compared. Results: A total of 7739 HRS respondents developed diabetes and were included in the analysis (4267 women [55.1%]; mean [SD] age at diagnosis, 67.4 [9.9] years). The age-at-diagnosis groups included 1866 respondents at 50 to 59 years, 2834 at 60 to 69 years, and 3039 at 70 years or older; 28 321 HRS respondents never developed diabetes. Age at diagnosis of 50 to 59 years was significantly associated with incident heart disease (hazard ratio [HR], 1.66 [95% CI, 1.40-1.96]), stroke (HR, 1.64 [95% CI, 1.30-2.07]), disability (HR, 2.08 [95% CI, 1.59-2.72]), cognitive impairment (HR, 1.30 [95% CI, 1.05-1.61]), and mortality (HR, 1.49 [95% CI, 1.29-1.71]) compared with matched controls, even when accounting for diabetes duration. These associations significantly decreased with advancing age at diagnosis. Respondents with diabetes diagnosed at 70 years or older only showed a significant association with the outcome of elevated mortality (HR, 1.08 [95% CI, 1.01-1.17]). Conclusions and Relevance: The findings of this cohort study suggest that age at diabetes diagnosis was differentially associated with outcomes and that younger age groups were at elevated risk of heart disease, stroke, disability, cognitive impairment, and all-cause mortality. These findings reinforce the clinical heterogeneity of diabetes and highlight the importance of improving diabetes management in adults with earlier diagnosis.

Multiple Chronic Conditions Explain Ethnic Differences in Functional Outcome Among Patients With Ischemic Stroke.

BACKGROUND AND PURPOSE: Mexican Americans (MAs) have worse stroke outcomes and a different profile of multiple chronic conditions (MCC) compared with non-Hispanic White people. MCC has implications for stroke treatment, complications, and poststroke care, which impact poststroke functional outcome (FO). We sought to assess the contribution of MCC to the ethnic difference in FO at 90 days between MAs and non-Hispanic White people. METHODS: In a prospective cohort of ischemic stroke patients (2008-2016) from Nueces County, Texas, data were collected from patient interviews, medical records, and hospital discharge data. MCC was assessed using a stroke-specific and function-relevant index (range, 0-35; higher scores greater MCC burden). Poststroke FO was measured by an average score of 22 activities of daily living (ADLs) and instrumental ADLs at 90 days (range, 1-4; higher scores worse FO). The contribution of MCC to the ethnic difference in FO was assessed using Tobit regression. Effect modification by ethnicity was examined. RESULTS: Among the 896 patients, 70% were MA and 51% were women. Mean age was 68±12.2 years; 33% of patients were dependent in ADL/instrumental ADLs (FO score >3, representing a lot of difficulty with ADL/instrumental ADLs) at 90 days. MAs had significantly higher age-adjusted MCC burden compared with non-Hispanic White people. Patients with high MCC score (at the 75th percentile) on average scored 0.70 points higher in the FO score (indicating worse FO) compared with those with low MCC score (at the 25th percentile) after adjusting for age, initial National Institutes of Health Stroke Scale, and sociodemographic factors. MCC explained 19% of the ethnic difference in FO, while effect modification by ethnicity was not statistically significant. CONCLUSIONS: MAs had a higher age-adjusted MCC burden, which partially explained the ethnic difference in FO. The prevention and treatment of MCC could potentially mitigate poststroke functional impairment and lessen ethnic disparities in stroke outcomes.

Team VA Video Connect (VVC) to optimize mobility and physical activity in post-hospital discharge older veterans: baseline assessment.

BACKGROUND: Telehealth is increasingly used for rehabilitation and exercise but few studies include older adult participants with comorbidities and impairment, particularly cognitive. Using Veterans Administration Video Connect (VVC), the aim of the present study is to present the screening, recruitment, baseline assessment, and initial telehealth utilization of post-hospital discharge Veterans in a VVC home-telehealth based program to enhance mobility and physical activity. METHODS: Older adult Veterans (n = 45, mean age 73), recently discharged from the hospital with physical therapy goals, were VVC-assessed in self-report and performance-based measures, using test adaptations as necessary, by a clinical pharmacy specialist and social worker team. RESULTS: Basic and instrumental ADL disabilities were common as were low mobility (Short Portable Performance Battery) and physical activity levels (measured by actigraphy). Half had Montreal Cognitive Assessment (MoCA) scores in the mild cognitive impairment range (< 24). Over 2/3 of the participants used VA-supplied tablets. While half of the Veterans were fully successful in VVC, 1/3 of these and an additional group with at least one failed connection requested in-person visits for assistance. One-quarter had no VVC success and sought help for tablet troubleshooting, and half of these eventually "gave up" trying to connect; difficulty with using the computer and physical impairment (particularly dexterity) were described prominently in this group. On the other hand, Veterans with at least mild cognitive impairment (based on MoCA scores) were present in all connectivity groups and most of these used caregiver support to facilitate VVC. CONCLUSIONS: Disabled older post-hospital discharged Veterans with physical therapy goals can be VVC-assessed and enrolled into a mobility/physical activity intervention. A substantial proportion required technical support, including in-person support for many. Yet, VVC seems feasible in those with mild cognitive impairment, assuming the presence of an able caregiver. Modifications of assessment tools were needed for the VVC interface, and while appearing feasible, will require further study. TRIAL REGISTRATION: ClinicalTrials.gov NCT04045054 05/08/2019.

New Index for Multiple Chronic Conditions Predicts Functional Outcome in Ischemic Stroke.

OBJECTIVE: To determine whether a new index for multiple chronic conditions (MCCs) predicts poststroke functional outcome (FO), we developed and internally validated the new MCC index in patients with ischemic stroke. METHODS: A prospective cohort of patients with ischemic stroke (2008-2017) was interviewed at baseline and 90 days in the Brain Attack Surveillance in Corpus Christi Project. An average of 22 activities of daily living (ADL)/instrumental ADL (IADL) items measured the FO score (range 1-4) at 90 days. A FO score >3 (representing a lot of difficulty with ADL/IADLs) was considered unfavorable FO. A new index was developed using machine learning techniques to select and weight conditions and prestroke impairments. RESULTS: Prestroke modified Rankin Scale (mRS) score, age, congestive heart failure (CHF), weight loss, diabetes, other neurologic disorders, and synergistic effects (dementia × age, CHF × renal failure, and prestroke mRS × prior stroke/TIA) were identified as important predictors in the MCC index. In the validation dataset, the index alone explained 31% of the variability in the FO score, was well-calibrated (p = 0.41), predicted unfavorable FO well (area under the receiver operating characteristic curve 0.81), and outperformed the modified Charlson Comorbidity Index in predicting the FO score and poststroke mRS. CONCLUSIONS: A new MCC index was developed and internally validated to improve the prediction of poststroke FO. Novel predictors and synergistic interactions were identified. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that in patients with ischemic stroke, an index for MCC predicts FO at 90 days.

Cognitive status as a robust predictor of repeat falls in older Veterans in post-acute care.

BACKGROUND: While repeat falls are common in post-acute care (PAC), risk factors have not been fully elucidated. AIMS: The objective of thids study is to evaluate the contribution of cognitive function to repeat falls in older PAC Veterans. METHODS: Data were collected from medical records for 91 single and 30 repeat fallers over 5 consecutive years (2011-2016). RESULTS: After controlling for demographic and medical factors, lower Mini-Mental State Exam (MMSE) score was associated with increased odds of repeat falls. MMSE scores below 20 (with age held constant at the mean) were associated with a greater than 50% chance of a repeat fall (compared to 24.7% base rate). Admission for a neurologic reason further increased risk. DISCUSSION: PAC Veterans who experience a fall have an increased risk of repeat falls with concomitant cognitive dysfunction and/or admission for neurologic reasons. CONCLUSIONS: Results support tailoring multi-component interventions for those with cognitive dysfunction utilizing standardized mental status screening upon admission.

Reducing Frailty to Promote Healthy Aging.

Frailty is a complex geriatric syndrome. Frail patients typically present with an array of multiple complex symptoms and significantly reduced tolerance for medical and surgical interventions. A multidomain approach is required to effectively treat/manage frailty.

Cardiovascular disease risk prediction for people with type 2 diabetes in a population-based cohort and in electronic health record data.

OBJECTIVE: Electronic health records (EHRs) have become a common data source for clinical risk prediction, offering large sample sizes and frequently sampled metrics. There may be notable differences between hospital-based EHR and traditional cohort samples: EHR data often are not population-representative random samples, even for particular diseases, as they tend to be sicker with higher healthcare utilization, while cohort studies often sample healthier subjects who typically are more likely to participate. We investigate heterogeneities between EHR- and cohort-based inferences including incidence rates, risk factor identifications/quantifications, and absolute risks. MATERIALS AND METHODS: This is a retrospective cohort study of older patients with type 2 diabetes using EHR from New York University Langone Health ambulatory care (NYULH-EHR, years 2009-2017) and from the Health and Retirement Survey (HRS, 1995-2014) to study subsequent cardiovascular disease (CVD) risks. We used the same eligibility criteria, outcome definitions, and demographic covariates/biomarkers in both datasets. We compared subsequent CVD incidence rates, hazard ratios (HRs) of risk factors, and discrimination/calibration performances of CVD risk scores. RESULTS: The estimated subsequent total CVD incidence rate was 37.5 and 90.6 per 1000 person-years since T2DM onset in HRS and NYULH-EHR respectively. HR estimates were comparable between the datasets for most demographic covariates/biomarkers. Common CVD risk scores underestimated observed total CVD risks in NYULH-EHR. DISCUSSION AND CONCLUSION: EHR-estimated HRs of demographic and major clinical risk factors for CVD were mostly consistent with the estimates from a national cohort, despite high incidences and absolute risks of total CVD outcome in the EHR samples.

Multiple Chronic Conditions and Functional Outcome after Ischemic Stroke: A Systematic Review and Meta-Analysis.

BACKGROUND: Multiple chronic conditions (MCC) contribute to functional disability in the general population although its role in predicting functional outcome (FO) among patients with stroke is not well understood. There is no universal agreement on the approach to measuring MCC in stroke, and findings have been mixed regarding MCC being an independent predictor for poststroke FO. OBJECTIVES: This review aims to summarize the findings of studies that have investigated the relationship between MCC and FO after ischemic stroke using a MCC index. METHOD: PubMed and Embase were systematically searched for studies conducted among ischemic stroke patients that have examined the adjusted association between prestroke MCC and FO. The quality of the included studies was appraised using a risk of bias (RoB) assessment checklist. A meta-analysis was performed for the association between MCC and FO using a random effects model to estimate the overall pooled ORs. RESULTS: Twelve of the 18 studies included were hospital-based cohort studies, with a median RoB score of 4.75 points (range 1-9, higher scores for higher RoB). Studies predominantly used the Charlson Comorbidity Index (CCI), or the Modified CCI to measure MCC burden, and the modified Rankin scale to measure FO. Half of the studies reported a significant negative association between MCC and FO, which was also found by the meta-analysis with a pooled OR of 1.11 (95% CI 1.05-1.18). CONCLUSIONS: The current review supports that increased MCC is associated with worse poststroke FO although population-based studies of this association are lacking. Future research should aim to develop more refined measures of MCC that consider the severity and interactions of comorbid conditions reflective of the broader stroke population and to understand the relationship between MCC and poststroke FO with thorough adjustment for confounding factors.

Disputes of Self-reported Chronic Disease Over Time: The Role of Race, Ethnicity, Nativity, and Language of Interview.

BACKGROUND: Respondents in longitudinal health interview surveys may inconsistently report their chronic diseases across interview waves. Racial/ethnic minority adults have an increased burden of chronic diseases and may dispute chronic disease reports more frequently. OBJECTIVE: We evaluated the longitudinal association between race/ethnicity, nativity, and language of interview with disputing previously reported chronic diseases. METHODS: We performed secondary data analysis of nationally representative longitudinal data (Health and Retirement Study, 1998-2010) of adults 51 years or older (n=23,593). We estimated multilevel mixed-effects logistic models of disputes of previously reported chronic disease (hypertension, heart disease, lung disease, diabetes, cancer, stroke, arthritis). RESULTS: Approximately 22% of Health and Retirement Study respondents disputed prior chronic disease self-reports across the entire study period; 21% of non-Latino white, 20.5% of non-Latino black, and 28% of Latino respondents disputed. In subgroup comparisons of model-predicted odds using postestimation commands, Latinos interviewed in Spanish have 34% greater odds of disputing compared with non-Latino whites interviewed in English and 35% greater odds of dispute relative to non-Latino blacks interviewed in English. CONCLUSIONS: The odds of disputing a prior chronic disease report were substantially higher for Latinos who were interviewed in Spanish compared with non-Latino white or black counterparts interviewed in English, even after accounting for other sociodemographic factors, cognitive declines, and time-in-sample considerations. Our findings point toward leveraging of multiple sources of data to triangulate information on chronic disease status as well as investigating potential mechanisms underlying the higher probability of dispute among Spanish-speaking Latino respondents.

Establishing the First Geriatric Medicine Fellowship Program in Ghana.

As life expectancy in Ghana improves, a large and growing population of older adults require healthcare. Despite governmental support for the care of older adults, there have been no geriatricians and no in-country educational path for those desiring to become specialists in this field. In fact, 23 of 54 countries in sub-Saharan Africa (SSA) lack even a single geriatrician. We describe a novel and collaborative approach used to develop the first geriatric training fellowship in Ghana. Faculty from the Ghana College of Physicians and Surgeons and the University of Michigan worked together to develop a rigorous and evidence-based geriatrics curriculum, based on US standards but adapted to be appropriate for the cultural, economic, educational, and social norms in Ghana. This approach led to a strong training model for care of older adults while also strengthening the ongoing collaboration between the two partner universities in Ghana and the United States. The fellowship has been inaugurated in Ghana and can serve as a concrete educational model for other countries in SSA. J Am Geriatr Soc 67:1718-1723, 2019.

Perspectives on disclosure of the dementia diagnosis among primary care physicians in Japan: a qualitatively driven mixed methods study.

BACKGROUND: The number of dementia patients in Japan is projected to reach seven million by 2025. While modern ethicists have largely reached the conclusion that full disclosure of dementia serves the best interest of patient, the implications of disclosure of a dementia diagnosis remains an underexplored area of research in Japan. The purpose of this study was to explore primary care physicians' perspectives relative to the practice of disclosure of the dementia diagnosis. METHODS: In this qualitatively driven mixed methods project, we conducted semi-structured interviews with 24 primary care physicians using purposeful sampling to identify rural and urban representation. All interview recordings were transcribed verbatim and analyzed thematically. The research team iteratively conducted discussions of the concepts as they emerged until reaching thematic saturation. The summary was distributed to the participants for member checking and we incorporated their feedback into the final analysis. RESULTS: Of 24 participants, 12 practice in rural areas and 12 practice in urban/suburban areas. Participants' attitudes varied in whether or not to disclose dementia diagnosis to the patients, and in the level of clarity of the name and the prognosis of the disease. Participants who were more comfortable in practicing disclosure were communicating collectively to the patients and their family members and those who were less comfortable practicing disclosure were concerned about patients' feelings and had negative perceptions given the insidious progression of the disease. CONCLUSION: We found substantive individual differences in the approach to disclosure of the diagnosis of dementia and the level of comfort among primary care physicians. More dialogue about this issue and training to equip primary care physicians lacking confidence in their approach may be required.

Inconsistency in the Self-report of Chronic Diseases in Panel Surveys: Developing an Adjudication Method for the Health and Retirement Study.

Objectives: Chronic disease data from longitudinal health interview surveys are frequently used in epidemiologic studies. These data may be limited by inconsistencies in self-report by respondents across waves. We examined disease inconsistencies in the Health and Retirement Study and investigated a multistep method of adjudication. We hypothesized a greater likelihood of inconsistences among respondents with cognitive impairment, of underrepresented race/ethnic groups, having lower education, or having less income/wealth. Method: We analyzed Waves 1995-2010, including adults 51 years and older (N = 24,156). Diseases included hypertension, heart disease, lung disease, diabetes, cancer, stroke, and arthritis. We used questions about the diseases to formulate a multistep adjudication method to resolve inconsistencies across waves. Results: Thirty percent had inconsistency in their self-report of diseases across waves, with cognitive impairment, proxy status, age, Hispanic ethnicity, and wealth as key predictors. Arthritis and hypertension had the most frequent inconsistencies; stroke and cancer, the fewest. Using a stepwise method, we adjudicated 60%-75% of inconsistent responses. Discussion: Discrepancies in the self-report of diseases across multiple waves of health interview surveys are common. Differences in prevalence between original and adjudicated data may be substantial for some diseases and for some groups, (e.g., the cognitively impaired).

Diabetes care improvement in pharmacist- versus nurse-supported patient-centered medical homes.

OBJECTIVES: In 2009 and 2010, 17 primary care sites within 1 healthcare system became patient-centered medical homes (PCMHs), but the sites trained different personnel (pharmacists vs nurses) to improve diabetes care using self-management support (SMS). We report the challenges and successes of our efforts to: 1) assemble a new multipayer (Medicare, Medicaid, commercial) claims dataset linked to a clinical registry and 2) use the new dataset to perform comparative effectiveness research on implementation of the 2 SMS models. STUDY DESIGN: Longitudinal cohort study. METHODS: We lost permission to use private-payer data. Therefore, we used claims from Medicare fee-for-service and Medicare/Medicaid dual-eligible patients merged with chronic disease registry data. We studied 2008 to 2010, which included 1 year pre- and 1 year post the 2009 implementation time period. Outcomes were outpatient and emergency department visits, hospitalizations, care process (use of statin), and 3 intermediate outcomes (glycemic control, blood pressure [BP], and low-density lipoprotein cholesterol [LDL-C]). RESULTS: In our sample of 2826 patients, quality of care improved and utilization decreased over the 2.5 years. Both approaches improved lipid control (LDL-C decreased by an average of 4 mg/dL for pharmacy-SMS and 5.6 mg/dL for nurse-SMS) and diastolic BP (-1.5 mm Hg for pharmacy-SMS and -1.3 mm Hg for nurse-SMS), whereas only the pharmacy-led approach decreased primary care visits (by 0.8 visits). The groups differed slightly on 2 measures (glycated hemoglobin, systolic BP) with respect to the trajectory of improvement over time, but performance was similar by 2.5 years. CONCLUSIONS: Diabetes care improved during PCMH implementation systemwide, supporting both nurse-led and pharmacist-led SMS models.

Age and Small Airway Imaging Abnormalities in Subjects with and without Airflow Obstruction in SPIROMICS.

RATIONALE: Aging is associated with reduced FEV1 to FVC ratio (FEV1/FVC), hyperinflation, and alveolar enlargement, but little is known about how age affects small airways. OBJECTIVES: To determine if chest computed tomography (CT)-assessed functional small airway would increase with age, even among asymptomatic individuals. METHODS: We used parametric response mapping analysis of paired inspiratory/expiratory CTs to identify functional small airway abnormality (PRMFSA) and emphysema (PRMEMPH) in the SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study) cohort. Using adjusted linear regression models, we analyzed associations between PRMFSA and age in subjects with or without airflow obstruction. We subdivided participants with normal spirometry based on respiratory-related impairment (6-minute-walk distance <350 m, modified Medical Research Council ≥2, chronic bronchitis, St. George's Respiratory Questionnaire >25, respiratory events requiring treatment [antibiotics and/or steroids or hospitalization] in the year before enrollment). MEASUREMENTS AND MAIN RESULTS: Among 580 never- and ever-smokers without obstruction or respiratory impairment, PRMFSA increased 2.7% per decade, ranging from 3.6% (ages 40-50 yr) to 12.7% (ages 70-80 yr). PRMEMPH increased nonsignificantly (0.1% [ages 40-50 yr] to 0.4% [ages 70-80 yr]; P = 0.34). Associations were similar among nonobstructed individuals with respiratory-related impairment. Increasing PRMFSA in subjects without airflow obstruction was associated with increased FVC (P = 0.004) but unchanged FEV1 (P = 0.94), yielding lower FEV1/FVC ratios (P < 0.001). Although emphysema was also significantly associated with lower FEV1/FVC (P = 0.04), its contribution relative to PRMFSA in those without airflow obstruction was limited by its low burden. CONCLUSIONS: In never- and ever-smokers without airflow obstruction, aging is associated with increased FVC and CT-defined functional small airway abnormality regardless of respiratory symptoms.

Identifying Patterns of Multimorbidity in Older Americans: Application of Latent Class Analysis.

OBJECTIVES: To define multimorbidity "classes" empirically based on patterns of disease co-occurrence in older Americans and to examine how class membership predicts healthcare use. DESIGN: Retrospective cohort study. SETTING: Nationally representative sample of Medicare beneficiaries in file years 1999-2007. PARTICIPANTS: Individuals aged 65 and older in the Medicare Beneficiary Survey who had data available for at least 1 year after index interview (N = 14,052). MEASUREMENTS: Surveys (self-report) were used to assess chronic conditions, and latent class analysis (LCA) was used to define multimorbidity classes based on the presence or absence of 13 conditions. All participants were assigned to a best-fit class. Primary outcomes were hospitalizations and emergency department visits over 1 year. RESULTS: The primary LCA identified six classes. The largest portion of participants (32.7%) was assigned to the minimal disease class, in which most persons had fewer than two of the conditions. The other five classes represented various degrees and patterns of multimorbidity. Usage rates were higher in classes with greater morbidity, but many individuals could not be assigned to a particular class with confidence (sample misclassification error estimate = 0.36). Number of conditions predicted outcomes at least as well as class membership. CONCLUSION: Although recognition of general patterns of disease co-occurrence is useful for policy planning, the heterogeneity of persons with significant multimorbidity (≥3 conditions) defies neat classification. A simple count of conditions may be preferable for predicting usage.

Using Fresh Frozen Plasma for Acute Airway Angioedema to Prevent Intubation in the Emergency Department: A Retrospective Cohort Study.

Background. Angioedema (AE) is a common condition which can be complicated by laryngeal edema, having up to 40% mortality. Although sporadic case reports attest to the benefits of fresh frozen plasma (FFP) in treating severe acute bouts of AE, little evidence-based support for this practice is available at present. Study Objectives. To compare the frequency, duration of intubation, and length of intensive care unit (ICU) stay in patients with acute airway AE, with and without the use of FFP. Methods. A retrospective cohort study was conducted, investigating adults admitted to large community hospital ICU with a diagnosis of AE during the years of 2007-2012. Altogether, 128 charts were reviewed for demographics, comorbidities, hospital courses, and outcomes. A total of 20 patients received FFP (108 did not). Results. Demographics and comorbidities did not differ by treatment group. However, nontreated controls did worse in terms of intubation frequency (60% versus 35%; p = 0.05) and ICU stay (3.5 days versus 1.5 days; p < 0.001). Group outcomes were otherwise similar. Conclusion. In an emergency department setting, the use of FFP should be considered in managing acute airway nonhereditary AE (refractory to steroid, antihistamine, and epinephrine). Larger prospective, better controlled studies are needed to devise appropriate treatment guidelines.

Age-Related Differences in Health-Related Quality of Life in COPD: An Analysis of the COPDGene and SPIROMICS Cohorts.

OBJECTIVE: Younger persons with COPD report worse health-related quality of life (HRQL) than do older individuals. The factors explaining these differences remain unclear. The objective of this article was to explore factors associated with age-related differences in HRQL in COPD. METHODS: Cross-sectional analysis of participants with COPD, any Global Initiative for Chronic Obstructive Lung Disease grade of airflow limitation, and ≥ 50 years old in two cohorts: the Genetic Epidemiology of COPD (COPDGene) study and the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS). We compared St. George's Respiratory Questionnaire (SGRQ) scores by age group: middle-aged (age, 50-64) vs older (age, 65-80) adults. We used multivariate linear modeling to test associations of age with HRQL, adjusting for demographic and clinical characteristics and comorbidities. RESULTS: Among 4,097 participants in the COPDGene study (2,170 middle-aged and 1,927 older adults) SGRQ total scores were higher (worse) among middle-aged (mean difference, -4.2 points; 95% CI, -5.7 to -2.6; P < .001) than older adults. Age had a statistically significant interaction with dyspnea (P < .001). Greater dyspnea severity (modified Medical Research Council ≥ 2, compared with 0-1) had a stronger association with SGRQ score among middle-aged (ß, 24.6; 95% CI, 23.2-25.9) than older-adult (ß, 21.0; 95% CI, 19.6-22.3) participants. In analyses using SGRQ as outcome in 1,522 participants in SPIROMICS (598 middle-aged and 924 older adults), we found similar associations, confirming that for the same severity of dyspnea there is a stronger association with HRQL among younger individuals. CONCLUSIONS: Age-related differences in HRQL may be explained by a higher impact of dyspnea among younger subjects with COPD. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT00608764 and No.: NCT01969344; URL: www.clinicaltrials.gov.