Obesity-related comorbidities (ORCs) cause significant economic and clinical burdens for people with obesity and the US health care system. A reduction in weight at the population level may reduce incident ORC diagnoses and associated costs of treatment. The aim of this work is to describe obesity burden in the United States through the prevalence and direct treatment costs of ORCs, as well as the clinical and economic value of 15% weight loss in a population of adults with obesity. The IQVIA Ambulatory US electronic medical record database was used to create a cohort (7,667,023 individuals 20-69 years of age, body mass index of 30-50 kg/m2), utilized to characterize the prevalence of 10 ORCs. Direct treatment costs were collected from literature reports. A risk model was leveraged to estimate the number and cost of additional ORC diagnoses over 5 years from baseline through two scenarios: stable weight and 15% lower body weight at baseline for all members of the population. Prevalence, incidence, and cost data were scaled down to a representative subset of 100,000 individuals. In 2022, the annual treatment costs for all 10 ORCs exceeded $918 million for the representative cohort. In a stable-weight scenario, these costs were estimated to increase to ≈$1.4 billion by 2027. With 15% lower body weight at baseline, $221 million in cumulative savings was estimated, corresponding to $2205 in savings/patient over 5 years. Consequently, weight loss in this population may correspond to significantly reduced numbers of incident ORC complications translating to substantial cost savings.

OBJECTIVE: To evaluate the prevalence of chronic comorbidities according to BMI classes and assess the interplay between excess body weight and blood glucose abnormalities in increasing the risk of major chronic diseases.
METHODS: The study is based on data from the Health Search/IQVIA Health LPD Longitudinal Patient Database, an Italian general practice registry, with data obtained from electronic clinical records of 800 general practitioners throughout Italy. Data relative to the year 2018 were analyzed. The study population was classified according to BMI (normal weight, overweight, and obesity classes 1, 2 and 3) and glucose metabolism status (normoglycemia-NGT; impaired fasting glucose-IFG; diabetes mellitus-DM). Comorbidities were identified through ICD-9 CM codes.
RESULTS: Data relative to 991,917 adults were analyzed. The prevalence of overweight was 39.4%, while the prevalence of obesity was 11.1% (class 1: 7.9%, class 2: 2.3%, class 3: 0.9%). In the whole population, the prevalence of DM and IFG was 8.9% and 4.2%, respectively. Both overweight and obesity were associated with an increasing prevalence of glucose metabolism alterations and a large array of different chronic conditions, including cardio-cerebrovascular diseases, heart failure, chronic kidney disease, osteoarticular diseases, depression, sleep apnea, and neoplasms of the gastrointestinal tract. Within each BMI class, the presence of IFG, and to a greater extent DM, identified subgroups of individuals with a marked increase in the risk of concomitant chronic conditions.
CONCLUSIONS: Addressing the double burden of excess weight and hyperglycemia represents an important challenge and a healthcare priority.

UNASSIGNED: Anxiety and depression are common in patients with chronic obstructive pulmonary disease (COPD), especially older adult patients. This can complicate the disease progression and lead to increased clinical and economic burden. We sought to investigate the clinical and economic burdens associated with the presence of anxious and/or depressive symptoms among older adult COPD patients.
UNASSIGNED: We screened 579 patients aged over 60 years and diagnosed with COPD via a lung function test following the 2017 Global Initiative Chronic Obstructive Lung Disease (GOLD) guidelines. Anxiety and depression were measured using the Hospital Anxiety and Depression Scale (HADS) through face-to-face interviews at admission. Follow-up was conducted by telephone calls at 6, 12, 18, 24, and 36 months after discharge to assess clinical and economic burden. COPD-anxiety and/or depression patients were matched to patients without anxiety and depression (COPD-only) using propensity scores. Multivariate regression models were used to compare clinical and economic burden between COPD-anxiety and/or depression and COPD-only groups.
UNASSIGNED: Compared with COPD-only patients, COPD patients complicated with anxiety and/or depression had increased clinical burden, including higher COPD-related outpatient visits, COPD-related hospitalizations, and length of COPD-related hospitalizations (p < 0.001). Moreover, they also had an increased economic burden, including higher annual total healthcare costs, medical costs, and pharmacy costs (p < 0.001).
UNASSIGNED: Older adult COPD patients with anxiety or depression had significantly higher clinical and economic burdens than patients without these comorbidities. These findings deserve further exploration and may be useful for the formulation of relevant healthcare policies.

Severe asthma treatment with oral corticosteroids (OCS) added to inhaled corticosteroids and a long-acting β2-agonist (ICS-LABA) may result in more treatment burden and increased adverse effects.
This ambispective multicenter observational study aimed at describing the clinical burden in patients with severe asthma on stable high-dose ICS-LABA who received OCS during ≥6 months (maintenance group) or ≥2 cycles in the previous 12 months (bursts group). Data collection comprised a retrospective 12-month baseline period and 2 follow-up visits at 3 and 6 months.
Eighty-nine patients were evaluable (30 on maintenance, 59 on bursts). At baseline, mean (SD) daily prednisone equivalent exposure in the total population was 24.6 (14.7) mg: 13.8 (9.4) mg on maintenance and 29.9 (14.3) mg on bursts. During the 6-month follow-up period, mean (SD) daily dose in the total cohort was 22.5 (18.8) mg: 17.2 (18.6) mg on maintenance and 28.4 (20.6) mg on bursts. The overall annual severe exacerbations rate during the 12-month baseline period was 2.05 per patient-year and 1.5 per patient-year over the 6-month follow-up, and frequency of hospitalizations and emergency department visits were similar on both maintenance and bursts use.
Results show a suboptimal control of severe asthma despite such high doses of OCS and persistence of disease burden regardless of the prescribing pattern in maintenance or bursts. There is therapeutic inertia to continue using OCS despite the increased risk of adverse effects and the availability of biologics.

OBJECTIVE: To estimate eosinophilic granulomatosis with polyangiitis (EGPA) prevalence and disease burden in patients with newly diagnosed EGPA in Japan.
METHODS: This retrospective descriptive cohort study (GSK ID: 209751, HO-18-19652) used administrative claim data from patients (aged ≤74 years) with EGPA (study period: January 1, 2005-December 31, 2017), identified from their first ICD-10 code for EGPA (index). Data were examined during the 12 months before (baseline) and 12 months following the index date (follow-up). EGPA prevalence, respiratory comorbidities, all-cause healthcare utilization, and oral corticosteroid (OCS) use were assessed.
RESULTS: EGPA prevalence (95%CI) increased from 4.2 (0,23.7)/million people (2005) to 38.0 (31.8,45.1)/million people (2017), was generally more common in females versus males, and increased with age. Of the 45 patients with newly diagnosed EGPA, 57.8% had acute bronchitis and 42.2% had upper respiratory tract infections during baseline. During follow-up, 60.0% of patients were hospitalized at least once and 77.8% used OCS (OCS dependent [≥80% of days]: 73.1%).
CONCLUSIONS: In Japan, EGPA prevalence increased over time, was generally more common in females, and increased with patient age. EGPA burden was high; respiratory comorbidities were common, and most patients required hospitalization and OCS use. Our data suggest additional EGPA treatment options are needed.

BACKGROUND: Mismatch between need and mental healthcare (MHC) use (under-and overuse) has mainly been studied with cross-sectional designs, not accurately capturing patterns of persistence or change in clinical burden and MHC-use among persons with depressive and/or anxiety disorders.
OBJECTIVE: Determining and describing [mis]match of longitudinal trajectories of clinical burden and MHC-use.
METHODS: Six-year longitudinal burden and MHC-use data came from the Netherlands Study of Depression and Anxiety (n=2981). The sample was split into four subgroups: I) no clinical burden but constant MHC use, II) constant clinical burden but no MHC-use, III) changing clinical burden and MHC-use, and IV) healthy non-users. Within subgroups I)-III), specific clinical burden and MHC trajectories were identified (growth mixture modeling). The resulting classes\' associations with predisposing, enabling, and need factors were investigated (regression analysis).
RESULTS: Subgroups I-III revealed different trajectories. I) increasing MHC without burden (4.1%). II) slightly increasing (1.9%), strongly increasing (2.4%), and decreasing (9.5%) burden without MHC. III) increasing (41.4%) or decreasing (19.4%) burden and concurrently increasing MHC use (first underuse, then matched care), thus revealing delayed MHC-use. Only having suicidal ideation (p<.001, Cohen\'s d= .6-1.5) was a significant determinant of being in latter classes compared to underusers (strongly increasing burden without MHC-use).
CONCLUSIONS: More explanatory factors are needed to explain [mis]match.
CONCLUSIONS: Mismatch occurred as constant underuse or as delayed MHC-use in a high-income country (Netherlands). Additionally, no meaningful class revealed constantly matched care on average. Presence of suicidal ideation could influence the probability of symptomatic individuals receiving matched MHC or not.

Group B Streptococcus (GBS) is the leading cause of sepsis and meningitis in infants <90 days. In this study, the burden of GBS disease and mortality in young infants in England was assessed.
Using linked hospitalization records from every National Health Service (NHS) hospital from April 1, 1998 to March 31, 2017, we calculated annual GBS incidence in infants aged <90 days and, using regression models, compared their perinatal factors, rates of hospital-recorded disease outcomes, and all-cause infant mortality rates with those of the general infant population.
15 429 infants aged <90 days had a hospital-recorded diagnosis of GBS, giving an average annual incidence of 1.28 per 1000 live births (95% CI 1.26-1.30) with no significant trend over time. GBS-attributable mortality declined significantly from 0.044 (95% CI .029-.065) per 1000 live births in 2001 to 0.014 (95% CI .010-.026) in 2017 (annual percentage change -6.6, 95% CI -9.1 to -4.0). Infants with GBS had higher relative rates of visual impairment (HR 7.0 95% CI 4.1-12.1), cerebral palsy (HR 9.3 95% CI 6.6-13.3), hydrocephalus (HR 17.3 95% CI 13.8-21.6), and necrotizing enterocolitis (HR 18.8 95% CI 16.7-21.2) compared with those without GBS.
Annual rates of GBS disease in infants have not changed over 19 years. The reduction in mortality is likely multifactorial and due to widespread implementation of antibiotics in at-risk mothers and babies, as well as advances in managing acutely unwell infants. New methods for prevention, such as maternal vaccination, must be prioritized.

Background: Carbapenem resistant Klebsiella pneumoniae (CRKP), Pseudomonas aeruginosa (CRPA), and Acinetobacter baumannii (CRAB) pose significant threats to public health. However, the clinical and economic impacts of CRKP, CRPA, and CRAB remain largely uninvestigated in China. This study aimed to examine the clinical and economic burden of CRKP, CRPA, and CRAB compared with carbapenem susceptible cases in China. Method: We conducted a retrospective and multicenter study among inpatients hospitalized at four tertiary hospitals between 2013 and 2015 who had K. pneumoniae, P. aeruginosa, and A. baumannii positive clinical samples. Propensity score matching (PSM) was used to balance the impact of potential confounding variables, including age, sex, insurance, number of diagnosis, comorbidities (disease diagnosis, and Charlson comorbidity index), admission to intensive care unit, and surgeries. The main indicators included economic costs, length of stay (LOS), and mortality rate. Results: We included 12,022 inpatients infected or colonized with K. pneumoniae, P. aeruginosa, and A. baumannii between 2013 and 2015, including 831 with CRKP and 4328 with carbapenem susceptible K. pneumoniae (CSKP), 1244 with CRPA and 2674 with carbapenem susceptible P. aeruginosa (CSPA), 1665 with CRAB and 1280 with carbapenem susceptible A. baumannii (CSAB). After PSM, 822 pairs, 1155 pairs, and 682 pairs, respectively were generated. Compared with carbapenem-susceptible cases, those with CRKP, CRPA, and CRAB were associated with statistically significantly increased total hospital cost ($14,252, p < 0.0001; $4605, p < 0.0001; $7277, p < 0.0001) and excess LOS (13.2 days, p < 0.0001; 5.4 days, p = 0.0003; 15.8 days, p = 0.0004). In addition, there were statistically significantly differences in hospital mortality rate between CRKP and CSKP, and CRAB and CSAB group (2.94%, p = 0.024; 4.03%, p = 0.03); however, the difference between CRPA and CSPA group was marginal significant (2.03%, p = 0.052). Conclusion: It highlights the clinical and economic impact of CRKP, CRPA, and CRAB to justify more resources for implementing antibiotic stewardship practices to improve clinical outcomes and to reduce economic costs.

Risk calculation is increasingly used in lipid management, congestive heart failure, and atrial fibrillation. The risk scores are then used for decisions about statin use, anticoagulation, and implantable defibrillator use. Calculating risks for patients and making decisions based on these risks is often done at the point of care and is an additional time burden for clinicians that can be decreased by automating the tasks and using clinical decision-making support.
Using Morae Recorder software, we timed 30 healthcare providers tasked with calculating the overall risk of cardiovascular events, sudden death in heart failure, and thrombotic event risk in atrial fibrillation. Risk calculators used were the American College of Cardiology Atherosclerotic Cardiovascular Disease risk calculator (AHA-ASCVD risk), Seattle Heart Failure Model (SHFM risk), and CHA2DS2VASc. We also timed the 30 providers using Ask Mayo Expert care process models for lipid management, heart failure management, and atrial fibrillation management based on the calculated risk scores. We used the Mayo Clinic primary care panel to estimate time for calculating an entire panel risk.
Mean provider times to complete the CHA2DS2VASc, AHA-ASCVD risk, and SHFM were 36, 45, and 171 s respectively. For decision making about atrial fibrillation, lipids, and heart failure, the mean times (including risk calculations) were 85, 110, and 347 s respectively.
Even under best case circumstances, providers take a significant amount of time to complete risk assessments. For a complete panel of patients this can lead to hours of time required to make decisions about prescribing statins, use of anticoagulation, and medications for heart failure. Informatics solutions are needed to capture data in the medical record and serve up automatically calculated risk assessments to physicians and other providers at the point of care.

OBJECTIVE: The consequences of the association between the metabolic syndrome and cryptogenic cirrhosis are uncertain. We aimed to compare the differences in clinical outcomes between cryptogenic and non-cryptogenic cirrhosis.
METHODS: A retrospective cohort study was conducted in a large, single academic center, over a 5-year duration.
RESULTS: Complete data were available in 301 patients with cirrhosis (cryptogenic n = 94, non-cryptogenic n = 207). Compared with non-cryptogenic cirrhosis, patients with cryptogenic cirrhosis were older (mean age 66.4 ± 12.5 vs 60.7 ± 11.3 years, P < 0.0001), had more females (43.6% vs 26.6%, P = 0.003), had less disease severity (Child-Pugh C 8.5% vs 15.9%, P = 0.042), and had a higher prevalence of the metabolic syndrome (83% vs 51.2%, P < 0.0001). During the 5-year period, adults with cryptogenic Child-Pugh A cirrhosis had a longer total hospital admission duration compared with non-cryptogenic cirrhosis (median 7.0 vs 3.0 days, P = 0.035), but this was less evident in patients with more advanced disease. This difference was due to a longer duration of hospitalization for non-liver-related morbidity (median 14.0 days vs 8.0 days, P = 0.04), rather than liver-related morbidity (median 10.5 days vs 8.0 days, P = 0.34), in patients with cryptogenic compared with non-cryptogenic cirrhosis. Kaplan-Meier survival analysis showed no significant differences in survival between both types of cirrhosis for all grades of severity.
CONCLUSIONS: Cryptogenic cirrhosis is associated with a longer duration of hospitalization compared with non-cryptogenic cirrhosis at an early stage of the disease. This difference is due to a greater burden of non-liver-related complications in the former.