Accountable Care Organization Attribution and Post-Acute Skilled Nursing Facility Outcomes for People Living With Dementia.

OBJECTIVES: Under the Accountable Care Organization (ACO) model, reductions in healthcare spending have been achieved by targeting post-acute care, particularly in skilled nursing facilities (SNFs). People with Alzheimer disease and related dementias (ADRD) are frequently discharged to SNF for post-acute care and may be at particular risk for unintended consequences of SNF cost reduction efforts. We examined SNF length of stay (LOS) and outcomes among ACO-attributed and non-ACO-attributed ADRD patients. DESIGN: Observational serial cross-sectional study. SETTING AND PARTICIPANTS: Twenty percent national random sample of fee-for-service Medicare beneficiaries (2013-2017) to identify beneficiaries with a diagnosis of ADRD and with a hospitalization followed by SNF admission (n = 263,676). METHODS: Our primary covariate of interest was ACO (n = 66,842) and non-ACO (n = 196,834) attribution. Hospital readmission and death were measured for 3 time periods (<30, 31-90, and 91-180 days) following hospital discharge. We used 2-stage least squares regression to predict LOS as a function of ACO attribution, and patient and facility characteristics. RESULTS: ACO-attributed ADRD patients have shorter SNF LOS than their non-ACO counterparts (31.7 vs 32.8 days; P < .001). Hospital readmission rates for ACO vs non-ACO differed at ≤30 days (13.9% vs 14.6%; P < .001) but were similar at 31-90 days and 91-180 days. No significant difference was observed in mortality post-hospital discharge for ACO vs non-ACO at ≤30 days; however, slightly higher mortality was observed at 31-90 days (8.4% vs 8.8%; P = .002) and 91-180 days (7.6% vs 7.9%; P = .011). No significant association was found between LOS and readmission, with small effects on mortality favoring ACOs in fully adjusted models. CONCLUSIONS AND IMPLICATIONS: Being an ACO-attributed patient is associated with shorter SNF LOS but is not associated with changes in readmission or mortality after controlling for other factors. Policies that shorten LOS may not have adverse effects on outcomes for people living with dementia.

Osteoporosis in Asthma and COPD.

Asthma and Chronic Obstructive Pulmonary Disease (COPD) are principally lifestyle related chronic inflammatory airway disease. They are globally associated with various systemic comorbidities and mortality. Osteoporosis is the common associated metabolic bone disease with respiratory disturbances, which affect the prognosis and increase mortality and morbidity in the patients. Apart from OSTEOPOROSIS, exhaustive attention has been paid towards other associated systemic comorbidities like cardiovascular diseases, cerebrovascular diseases, metabolic syndrome, malnutrition, skeletal muscle dysfunction (sarcopenia), anxiety, depression and so on (Iheanacho et al. in Int J Chronic Obstr Pulm Dis 15:439-460, 2020; Singh et al. in Eur Respir J 53:1900164, 2019). Osteoporosis is a significant extrapulmonary manifestation in asthma and COPD, which are grossly neglected and inadequately treated. The comorbidities have significant impact in terms of morbidity, mortality and economic burden in asthma and COPD patients, hence management of asthma and COPD should comprise thorough management, as this will also have an impact on the outcome of these patients. Various risk factors such as smoking, systemic inflammation, vitamin deficiency, and the use of oral or inhaled corticosteroid are responsible for osteoporosis in patients with asthma and COPD. The presence of osteoporosis in patients with asthma and COPD is invariably asymptomatic unless complicated by fragility fractures, therefore, it is necessary to explore the pathogenesis of osteoporosis in asthma and COPD and special attention is to be paid for early recognition of patients at high risk for osteoporosis in these patients. This chapter is focussed on osteoporosis as an extrapulmonary manifestation of asthma and COPD with an emphasis on the pathogenesis, risk factor, potential mechanism of osteoporosis, diagnosis, and prevention with passing reference to treatment as well in asthma and COPD patients.

Lactobacillus rhamnosus Modulates Lung Inflammation and Mitigates Gut Dysbiosis in a Murine Model of Asthma-COPD Overlap Syndrome.

The asthma-COPD overlap syndrome (ACOS) presents lung inflammation similar to both asthma and chronic obstructive pulmonary disease (COPD). Due to the immune response between the lung and gut, it is possible that ACOS individuals present gut dysbiosis. Due to therapeutic limitations in ACOS, Lactobacillus rhamnosus (Lr) have received attention once Lr has been effective in asthma and COPD. However, there is no data about the Lr effect on both lung inflammation and gut dysbiosis in ACOS. Thus, our study investigated the Lr effect on lung inflammation, bronchoconstriction, airway remodeling, and gut dysbiosis in the murine ACOS model. Treated mice with Lr were exposed to HDM and cigarette smoke to induce ACOS. Sixty days after ACOS induction, mice were euthanized. Lung inflammation was evaluated in leukocytes in bronchoalveolar lavage fluid (BALF), airway remodeling, cytokine secretion, and transcription factor expression in the lung. The gut microbiota was assayed by 16S mRNA sequencing from a fecal sample. Leukocyte population, bronchial hyperreactivity, pro-inflammatory cytokines, and airway remodeling were attenuated in Lr-treated ACOS mice. Likewise, IL-4, IL-5, and IL-13, STAT6 and GATA3, as well as IL-17, IL-21, IL-22, STAT3, and RORÉ£t were reduced after Lr. In addition, IL-2, IL-12, IFN-γ, STAT1, and T-bet as well as IL-10, TGF-ß, STAT5, and Foxp3 were restored after the Lr. Firmicutes was reduced, while Deferribacteres was increased after Lr. Likewise, Lr decreased Staphylococcus and increased Mucispirillum in ACOS mice. Lr improves fecal bacterial ß-diversity. Our findings show for the first time the Lr effect on lung inflammation and gut dysbiosis in murine ACOS.

Undiagnosed Asthma-COPD overlap among patients diagnosed as Asthma and COPD in a referral hospital, India.

Patients who have features of both Asthma & COPD are now known as Asthma COPD overlap (ACO). Prevalence of ACO based on the Global Initiative for Asthma (GINA) and Global initiative for obstructive lung disease (GOLD) Syndromic Approach is scarce. In this cross-sectional observational study, we recruited physician-diagnosed-pAsthma, pCOPD & pACO by simple random sampling. Clinical features, spirometry, 6-min walk test, Serum Immunoglobulin E, % blood eosinophils and chest x-rays were reviewed. Syndromic approach was applied, and the diagnosis was reclassified accordingly. In all, 877 patients were included (Male = 445, Female = 432). Physician diagnosis for these were: pAsthma-713, pCOPD-157 and pACO-7. They were reclassified using the Syndromic approach as: sAsthma, sCOPD and sACO. The 713 pAsthmatics were reclassified as follows: sAsthma-684 (95.94%), sCOPD-12 (1.68%) and sACO-17 (2.38%). Of the 157 pCOPD patients, 91 (57.96%) were reclassified as sCOPD, 23 (14.6%) as sACO, and 17 (927.38%) as sAsthma. Of the 7 previously diagnosed pACO patients, only 1 (14.28%) was reclassified as sACO, 5 (71.42%) as sAsthma and 1 (14.28%) as sCOPD. sCOPD patients had more exacerbations (52.88% vs 46.34%, p = 0.479), critical care admissions (16.35% vs 7.32%, p = 0.157) and intubations (17.31% vs 9.76%, p = 0.255) compared to sACO patients, the latter had more events than sAsthma patients: exacerbations 46.34% vs 10.11% (p < 0.001), critical care admissions 7.32% vs 1.64% (p = 0.010) and intubations 9.76% vs 1.5% (p < 0.001). The syndromic approach helped us to identify ACO and also more appropriately classified COPD & Asthma. There was a significant difference between physician diagnosis and diagnosis using Syndromic Approach. It revealed considerable misclassification of several Asthmatic and ACO subjects, who could have been denied inhaled corticosteroids, as they were wrongly categorised as COPD by physician diagnosis.

Comparison of therapeutic response between asthma, COPD, and ACOS patients by evaluation of spirometric findings.

Asthma and Chronic obstructive pulmonary disease (COPD ) both are a common public health problem that affects a large portion of population. Nearly 20% of patients with obstructive lung disease have features of both asthma and COPD called ACOS that GOLD_GINA guidelines defines as persistent airflow limitation with several features of asthma and several features of COPD. Yet there is a little data available about diagnosis and treatment of this entity and current study aimed to compare therapeutic response between asthma, COPD and Asthma-COPD overlap syndrome (ACOS) subjects through spirometric data. In the present cross-sectional study, 30 known patients with mild to moderate asthma, 30 known patients with mild to moderate COPD and 30 known patients with mild to moderate ACOS according to GOLD_GINA guidelines were enrolled. We assessed post bronchodilator the ratio of the forced expiratory volume in the first one second to the forced vital capacity of the lungs (fev1) and the forced expiratory volume in the first one second to the forced vital capacity of the lungs (fev1/fvc) in all patients. Then they took standard treatment for 2 months and after this period spirometry was repeated. Spirometric data's changes was compared between the three groups by SPSS26 statistical software. Fev1 changes in response to treatment did not differ significantly between three groups (p > 0.05) but fev1/fvc changes differed significantly and this parameter in asthma was more than ACOS and in COPD was least. (In asthma, spirometric symbolized therapeutic response is more significant than ACOS, and in ACOS, it is more important than COPD in terms of fev1/fvc changes) and there was not any difference between the three groups regarding to FEV1 changes.

Does the asthma-chronic obstructive pulmonary disease overlap syndrome (ACOS) exist? A narrative review from epidemiology and practice.

Asthma and chronic obstructive pulmonary disease (COPD) have traditionally been approached as separate entities that must be researched and treated separately. There is growing recognition, however, that a substantial proportion of patients with obstructive lung disease have characteristics of both asthma and COPD (termed the asthma-COPD overlap syndrome (ACOS)). Lung disease experts have difficulty defining ACOS, and many still resist accepting the possibility that asthma and COPD may be linked. It is likely that practicing clinicians may be equally confused about how to identify and treat ACOS. This narrative review aims to clarify concepts of ACOS definition, argues that the best way to understand ACOS is to view the chronic lung disease process longitudinally rather than cross-sectionally, and presents evidence that ACOS can be the end result of the natural history of severe asthma. The review also points out the serious gaps in knowledge regarding therapy for ACOS and presents emerging data supporting the intracellular respiratory pathogen Chlamydia pneumoniae as a possible common etiologic agent in severe asthma and ACOS.

Does the asthma-chronic obstructive pulmonary disease overlap syndrome (ACOS) exist? A narrative review from epidemiology and practice

Asthma and chronic obstructive pulmonary disease (COPD) have traditionally been approached as separate entities that must be researched and treated separately. There is growing recognition, however, that a substantial proportion of patients with obstructive lung disease have characteristics of both asthma and COPD (termed the asthma–COPD overlap syndrome (ACOS)). Lung disease experts have difficulty defining ACOS, and many still resist accepting the possibility that asthma and COPD may be linked. It is likely that practicing clinicians may be equally confused about how to identify and treat ACOS. This narrative review aims to clarify concepts of ACOS definition, argues that the best way to understand ACOS is to view the chronic lung disease process longitudinally rather than cross-sectionally, and presents evidence that ACOS can be the end result of the natural history of severe asthma. The review also points out the serious gaps in knowledge regarding therapy for ACOS and presents emerging data supporting the intracellular respiratory pathogen Chlamydia pneumoniae as a possible common etiologic agent in severe asthma and ACOS (AU)

Asthma-Chronic Obstructive Pulmonary Disease Overlap: The Role for Allergy.

Asthma and chronic obstructive pulmonary disease (COPD) are 2 distinct diseases with different clinical presentations. Chronic inflammation and airway obstruction are key features of asthma and COPD. Increased morbidity and mortality rates seem to be an important characteristic associated with asthma-COPD overlap (ACO).Atopy is an important clinical characteristic of patients categorized as ACO. Herein, the authors review the recent advancements in basic research, clinical assessment, and defining characteristics of ACO and the role for allergy as well as highlight future potential for disease-specific therapeutics for this asthma subtype.

Study of mid-latitude retrieval XCO2 greenhouse gas: Validation of satellite-based shortwave infrared spectroscopy with ground-based TCCON observations.

Carbon dioxide (CO2) is a major greenhouse gas. This study investigated the performance of three common algorithms, namely NIES, ACOS, and Remo Tec (SRFP). These algorithms were compared using GOSAT observation satellite data with reference data obtained from TCCON during the period 2009-2021. According to statistical evaluation, the SRFP and NIES algorithms achieved the lowest and highest correlation values of the 13 year (2009_2021) average of all sites, respectively. The average bias error values of NIES and ACOS was estimated to be less than that of SRFP approximately 0.5 ppm, while the bias within SRFP was of about 2 ppm. Comparing the RMSE and CRMS error values showed that the highest and lowest error values were related to the SRFP and NIES algorithms respectively, which were 0.37-1.67 and ppm 1.46-7.9. The researchers also compared them with monthly time changes based on ground measurements, and observed a time series of CO2 concentration changes that well matched the trend of gas concentration values at ground stations obtained by NIES algorithm. The results showed that in most cases NIES was an effective algorithm to retrieve carbon dioxide gas concentrations, allowing the researchers to identify the main sources of greenhouse gas emissions in different areas. The clustering result in the study area showed that the continental CO2 columnar concentration has a specific seasonal cycle, with the maximum and minimum values appearing in winter-early spring and spring-late summer, respectively. In conclusion, cluster analysis can classify the surface CO2 column concentration values and determine the spatial distribution pattern of CO2.

The Relationship Between Governing Board Composition and Medicare Shared Savings Program Accountable Care Organizations Outcomes: an Observational Study.

BACKGROUND: Early studies of Medicare Shared Savings Program (MSSP) accountable care organizations (ACOs) suggested that physician leadership was an important driver of ACO success, but it is unknown whether the demographic and professional composition of current MSSP ACO governing boards is associated with ACOs' publicly reported outcomes. OBJECTIVE: To investigate whether governing boards with higher physician participation and greater female involvement have better outcomes. DESIGN: Cross-sectional observational study. PARTICIPANTS: All 2017 MSSP ACOs identified by the Center for Medicare and Medicaid Services ACO Public Use Files (PUF). MAIN MEASURES: We collected governing board composition from ACO websites in 2019. Outcome metrics included risk-standardized readmission and unplanned admissions rates. We used descriptive statistics and linear regression models to examine the association between board composition and outcomes. KEY RESULTS: Of the 339 ACOs that still existed in 2019 and had available data, 77% had physician-majority boards and 11.5% had no women on their boards. Eighty-nine percent reported a Medicare beneficiary on their board, of which about one-third had a woman representative. The average number of members on MSSP ACO boards was 12, with a mean of 67% physicians and 24% women. Board composition varied minimally by ACO characteristics, such as geographic region, number of beneficiaries, or type of participants. Higher levels of physician participation in ACO governing boards were associated with lower all-cause unplanned admission rates for patients with heart failure (p = - 0.26, p < 0.001) and for patients with multiple chronic conditions (p = - 0.28, p = 0.001). The number of women on the board was not associated with any outcome differences. CONCLUSIONS: MSSP ACO governing boards were predominately male and physician-led. Physician involvement may be important for achieving quality goals, while lack of female involvement showcases an opportunity to diversify boards.

Electronic cigarette use and its association with asthma, chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap syndrome among never cigarette smokers.

INTRODUCTION: Although smoking is a strong risk factor for lung diseases including asthma, COPD, and asthma-COPD overlap syndrome (ACOS), studies are needed to examine the association between e-cigarettes and asthma, COPD, and ACOS. This study evaluated the association between e-cigarette use and self-reported diagnosis of asthma, COPD, and ACOS using a large nationally representative sample of adults aged ≥18 years in the United States. METHODS: Cross-sectional data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2016 to 2018 were used to examine self-reported information on current e-cigarette use, demographic variables, and asthma and COPD status among never cigarette smokers (n=8736). Asthma and COPD were measured by self-reported diagnosis, and respondents who reported having both diagnoses were then classified as having ACOS. Of the 469077 never cigarette smokers, 4368 non-e-cigarette users were 1:1 propensity score-matched to e-cigarette users on age, sex, race/ethnicity and education level. We used multinomial logistic regression to examine association between current e-cigarette use and self-report asthma, COPD, and ACOS while controlling for marital status and employment in addition to matching variables. RESULTS: Compared with never e-cigarette users, e-cigarette users had increased odds of self-reported ACOS (OR=2.27; 95% CI: 2.23-2.31), asthma (OR=1.26; 95% CI: 1.25-1.27) and COPD (OR=1.44; 95% CI: 1.42-1.46). CONCLUSIONS: Our findings suggest that e-cigarette use is associated with an increased odds of self-reported asthma, COPD, and ACOS among never combustible cigarette smokers. BRFSS provides cross-sectional survey data, therefore a causal relationship between e-cigarette use and the three lung diseases cannot be evaluated. Future longitudinal studies are needed to validate these findings.

Complexity of design in early phase respiratory clinical trials; evaluating impact of primary endpoints and sponsor size.

Asthma and COPD represent most of the clinical trials in the respiratory area. The Primary Endpoint (PE) defines how trials are conducted. We hypothesised that small and mid-sized pharmaceutical companies may be innovative in the selection of their trial endpoints, to be time- and cost-effective. To test this, a record of industry-sponsored phase II trials in asthma, COPD and Asthma/COPD over 11 years was obtained. The type of PE and the influence these had on length, number of subjects and investigational trial sites were evaluated for the different disease categories. Differences in the type of PE used by large versus small/mid-sized companies were found for both asthma and COPD trials (p = 0.011 and 0.025), with sponsorship influencing the conduction of these. In asthma, studies sponsored by large companies were significantly longer than those from smaller companies (p = 0.0001). Additionally, large companies intended to recruit more subjects (asthma: p = 0.0048, COPD: p ≤ 0.0001) and use more investigational sites (asthma: p = 1 × 10-7, COPD: p = 1 × 10-5) than those from small and mid-size companies. A sub-analysis of the time and subject requirements associated with each type of PE did not provide an explanation for the differences observed. In conclusion, this exploratory analysis indicates differences in study size, duration and type of PE used by small/mid-sized and large companies. For some types of endpoints, differences in length and study size were found. However, it wasn't possible to attribute these differences between sponsors solely to the choice of PE, pointing out to the complexity of running clinical trials.

The Plasma Levels of hsa-miR-19b-3p, hsa-miR-125b-5p, and hsamiR- 320c in Patients with Asthma, COPD and Asthma-COPD Overlap Syndrome (ACOS).

BACKGROUND: Bronchial Asthma (BA) and Chronic Obstructive Pulmonary Disease (COPD) are chronic airway inflammation diseases. In recent years, patients with signs of both BA and COPD have been assigned to a separate group as Asthma-COPD Overlap Syndrome (ACOS). Free-circulating plasma microRNAs are considered as potential biomarkers of pulmonology diseases, including BA, COPD, and ACOS. OBJECTIVE: This study aimed to investigate the expression level of free-circulating plasma microRNAs, hsa-miR-19b-3p, hsa-miR-125b-5p, and hsa-miR-320c in patients with BA, COPD and ACOS for the detection and validation of new microRNAs as biomarkers for chronic lung diseases. METHODS: The relative expression levels of 720 microRNAs were evaluated by Real Time-Polymerase Chain Reaction (RT-PCR) in patients with COPD and BA. Three upregulated microRNAs (hsa-miR-19b-3p, hsa-miR-125b-5p and hsa-miR-320c) were selected for further study. The obtained data were analyzed using the microRNA PCR Array Data Analysis tool. The sensitivity and specificity were estimated using the area under the Receiver Operating Characteristics curve (ROC). RESULTS: The expression level of free-circulating hsa-miR-19b-3p was decreased in the blood plasma of patients with BA and ACOS, and increased in patients with COPD. hsa-miR-125b-5p was downregulated in the blood plasma of patients with COPD and upregulated in patients with BA and ACOS. hsa-miR-320c was downregulated in the blood plasma of patients with BA, and upregulated in patients with COPD and ACOS. The ROC curves of patients with BA for hsa-miR-19b-3p, patients with ACOS for hsa-miR-125b-5p, and patients with COPD for hsa-miR-320c revealed the probability of them as valuable biomarkers with AUCs of 0.824, 0.825, and 0.855, respectively. CONCLUSION: Our study revealed three promising biomarkers for the diagnosis of COPD, BA and ACOS.

[Clinical and functional features of chronic obstructive pulmonary disease in elderly patients in the Rostov region.]

The study showed the presence of COPD clinical and functional features in elderly patients. Among the statistically significant features, one should highlight the high incidence of COPD (49,7% of the total number of elderly examined) in combination with the shortest duration of the disease in the group of people who have never smoked; the greatest degree of airflow restriction, the maximum severity of pulmonary hypertension and hypoxemia, along with the highest frequency and severity of exacerbations of the underlying disease in the group of patients with COPD, indicating the presence of occupational hazards in the history; the minimum pronounced decrease in quality of life indicators in the group of smokers in combination with an earlier onset of the underlying disease (in comparison with non-smoking patients of the same age). The revealed features can be informative in the diagnosis, treatment, prognosis of the underlying disease and the development of more effective methods of prevention and rehabilitation.

Electronic cigarette use and its association with asthma, chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap syndrome among never cigarette smokers.

INTRODUCTION: Although smoking is a strong risk factor for lung diseases including asthma, COPD, and asthma-COPD overlap syndrome (ACOS), studies are needed to examine the association between e-cigarettes and asthma, COPD, and ACOS. This study evaluated the association between e-cigarette use and self-reported diagnosis of asthma, COPD, and ACOS using a large nationally representative sample of adults aged ≥18 years in the United States. METHODS: Cross-sectional data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2016 to 2018 was used to examine self-reported information on current e-cigarette use, demographic variables, and asthma and COPD status among never cigarette smokers (n=8736). Asthma and COPD were measured by self-reported diagnosis, and respondents who reported having both diagnoses were then classified as having ACOS. Of the 46079 never cigarette smokers, 4368 non-e-cigarette smokers were 1:1 propensity score-matched to e-cigarette smokers on age, sex, race/ethnicity and education level. We used multinomial logistic regression to examine association between current e-cigarette use and self-report asthma, COPD, and ACOS while controlling for marital status and employment in addition to matching variables. RESULTS: Compared with never e-cigarette smokers, e-cigarette smokers had increased odds of self-reported ACOS (OR=2.27; 95% CI: 2.23-2.31), asthma (OR=1.26; 95% CI: 1.25-1.27) and COPD (OR=1.44; 95% CI: 1.42-1.46). CONCLUSIONS: Data from this large nationally representative sample suggest that e-cigarette use is associated with increased odds of self-reported asthma, COPD, and ACOS among never combustible cigarette smokers. The odds of ACOS were twice as high among e-cigarette users compared with never smokers of conventional cigarettes. The findings from this study suggest the need to further investigate the long-term and short-term health effects of e-cigarette use, since the age of those at risk in our study was 18-24 years.

Practice patterns among oncologists participating in the oncology care model after three years.

BACKGROUND: The Oncology Care Model (OCM) incentivized care coordination and cost-efficiency and has been associated with short-term care reductions, but its multi-year associations are less well-studied. METHODS: We used monthly provider-level claims data spanning nearly five years between July 1 st, 2014 and May 30th, 2019 from a large community oncology practice network where roughly half of the practices participated in the OCM. The key outcome measures were monthly mean office visits, costs, and buy-and-bill drug costs among prostate, colon, breast, and lung cancers. We conducted two quasi-experimental analyses: an event study, which measures the monthly association of providing care in an OCM relative to a non-participating practice, and a difference-in-differences model, which summarizes the event study results into post-launch average estimates. We controlled for mean differences between practices, providers, and patient. RESULTS: The event study analysis shows similar pre-period estimates and trends for each cancer. The difference-in-differences estimates for office visits are statistically significant for each cancer: 33 percentage point reductions in prostate cancer (95 % CI: -0.66 to 0.00; p = 0.05), 22 percentage point reductions in colon cancer (95 % CI: -0.48 to 0.04; p = 0.09), 21 percentage point reductions in breast cancer (95 % CI: -0.45 to 0.02; p = 0.08), and 24 percentage point reductions in lung cancer (95 % CI: -0.49 to 0.00; p = 0.05). Monthly prostate cancer costs also reduced by $505 (95 % CI: -$1108 to $99; p = 0.10). CONCLUSION: Our results suggest that the OCM was associated with relative reductions in office visits and, for prostate cancer, in overall costs too. These associations generally decreased within the first year of launch and sustained through roughly two years. POLICY SUMMARY: Novel payment models that incentivize care coordination and cost-efficiency like the OCM may modestly yet sustainably reduce office visits and overall costs.

Utilization by Long-Term Nursing Home Residents Under Accountable Care Organizations.

OBJECTIVES: Nursing home care is common and costly. Accountable care organization (ACO) payment models, which have incentives for care that is better coordinated and less reliant on acute settings, have the potential to improve care for this high-cost population. We examined the association between ACO attribution status and utilization and Medicare spending among long-term nursing home residents and hypothesized that attribution of nursing home residents to an ACO will be associated with lower total spending and acute care use. DESIGN: Observational propensity-matched study. SETTING AND PARTICIPANTS: Medicare fee-for-service beneficiaries who were long-term nursing home residents residing in areas with ≥5% ACO penetration. METHODS: ACO attribution and covariates used in propensity matching were measured in 2013 and outcomes were measured in 2014, including hospitalization (total and ambulatory care sensitive conditions), outpatient emergency department visits, and Medicare spending. RESULTS: Nearly one-quarter (23.3%) of nursing home residents who survived into 2014 (n = 522,085, 76.1% of 2013 residents) were attributed to an ACO in 2013 in areas with ≥5% ACO penetration. After propensity score matching, ACO-attributed residents had significantly (P < .001) lower hospitalization rates per 1000 (total: 402.9 vs 419.9; ambulatory care sensitive conditions: 64.4 vs 71.4) and fewer outpatient ED visits (29.9 vs 33.3 per 100) but no difference in total spending ($14,071 vs $14,293 per resident, P = .058). Between 2013 and 2014, a sizeable proportion of residents' attribution status switched (14.6%), either into or out of an ACO. CONCLUSIONS AND IMPLICATIONS: ACO nursing home residents had fewer hospitalizations and ED visits, but did not have significantly lower total Medicare spending. Among residents, attribution was not stable year over year.

Current insights on clinical efficacy of roflumilast for treatment of COPD, asthma and ACOS.

Phosphodiesterase-4 inhibitors (PDE4) are of great interest for the treatment of airway inflammatory diseases due to its broad anti-inflammatory effects. Roflumilast is a selective PDE4 inhibitor that inhibits pulmonary and systemic inflammation and rallies symptoms in airway diseases. Asthma and COPD are common chronic airway inflammatory diseases having incompletely illustrious pathophysiology and clinical manifestations. Recently, the condition called Asthma- COPD Overlap (ACO) has been evolved having the overlapping symptoms of both diseases. The newly discovered PDE4 inhibitor, roflumilast has exposed its potential in the treatment of Asthma, COPD and ACOS. Its mechanism of action in airway inflammatory diseases are said to be exerts by elevating intracellular cAMP and shows its anti-inflammatory action. Roflumilast, a promising therapeutic approach in inflammatory airway diseases, has many significant outcomes. In this review, we have provided various promising clinical evidences of roflumilast in COPD and asthma. However, there is no published clinical evidence to date for the role of roflumilast in ACOS. Nevertheless, there are therapeutic mechanisms that provide a reference for clinical application for ACOS.