BACKGROUND: The current study evaluated the disease burden, health care resource utilization and analyzed the cost burden due to events of special interest among patients with breast cancer (BC) diagnosed and treated in Dubai, United Arab Emirates (UAE), in general and in the subset of patients treated with cyclin-dependent kinase (CDK) 4/6 inhibitors.
METHODS: This retrospective cohort study, using insurance e-claims data from Dubai Real-World Database, was conducted from 01 January 2014 to 30 September 2021. Female patients aged ≥ 18 years with at least 1 diagnosis claim for BC and with continuous enrollment during the index period were included.
RESULTS: Overall, 8,031 patients were diagnosed with BC (median age: 49.0 years), with the majority (68.1%) being in 41-60-year age group. During the post-index period, BC-specific costs contributed to 84% of the overall disease burden among patients with BC. Inpatient costs (USD 16,956.2) and medication costs (USD 10,251.3) contributed significantly to BC-specific costs. In the subgroup of patients in whom CDK4/6 inhibitors were part of the treatment regimen (n = 174), CDK4/6 inhibitors were commonly prescribed in combination with aromatase inhibitors (41.4%) and estrogen receptor antagonists (17.9%). In patients with BC, health care costs due to events of special interest (n = 1,843) contributed to 17% of the overall disease cost burden.
CONCLUSIONS: The study highlights the significant cost burden among patients with BC, with BC-specific costs contributing to 84% of the overall disease cost burden. Despite few limitations such as study population predominantly comprising of privately insured expatriate patients and only direct healthcare costs being assessed in the current study, most indicative costs have been captured in the study, by careful patient selection and cost comparisons, as applicable. The findings can guide key health care stakeholders (payers and providers) on future policy measures aiming to reduce the cost burden among patients with BC.

Care for family members is a significant characteristic of families in South Asia. A family is one unit, and every other member is emotionally connected and expected to take care of each other. However, the provision of care to a family member with mental illness can be physically as well as emotionally exhausting and distressing for the Family Caregiver. The present study aimed to investigate the caregiving burden in family caregivers of depression and schizophrenia.
For this cross-sectional research, a purposive sample of 80 Family caregivers taking care of at least one family member with mental health problems of depression (n=40) and schizophrenia (n=40) were recruited for the present study. The age range of the sample was 15 to 60 years. All the respondents were literates who could read and write in Urdu. The scale used to measure the caregiving burden was Zarit Caregiving Burden Scale. The data was collected from the male (n=22) and female (n=58) family caregivers. To access data, family caregivers were approached at the psychological services clinics of Rawalpindi and Islamabad in private and public sector hospitals.
The data were analyzed through descriptive and t-test analysis. Analyses of the data revealed that family caregivers of schizophrenia had a greater caregiving burden as compared to family caregivers of depression. Results also showed that females reported a higher caregiving burden as compared to male family caregivers.
Family caregivers of schizophrenia undergo the severe burden of care and distress, and they may be considered a high-risk group for the development of mental health problems. Comprehensive intervention programs may be developed to involve them and safeguard their mental health.

BACKGROUND: Pulmonary hypertension due to interstitial lung disease (PH-ILD) is associated with high rates of respiratory failure and death. Healthcare resource utilization (HCRU) and cost data are needed to characterize PH-ILD disease burden.
METHODS: A retrospective cohort analysis of the Truven Health MarketScan® Commercial Claims and Encounters Database and Medicare Supplemental Database between June 2015 to June 2019 was conducted. Patients with ILD were identified and indexed based on their first claim with a PH diagnosis. Patients were required to be 18 years of age on the index date and continuously enrolled for 12-months pre- and post-index. Patients were excluded for having a PH diagnosis prior to ILD diagnosis or the presence of other non-ILD, PH-associated conditions. Treatment patterns, HCRU, and healthcare costs were compared between the 12 months pre- versus 12 months post-index date.
RESULTS: In total, 122 patients with PH-ILD were included (mean [SD] age, 63.7 [16.6] years; female, 64.8%). The same medication classes were most frequently used both pre- and post-index (corticosteroids: pre-index 43.4%, post-index 53.5%; calcium channel blockers: 25.4%, 36.9%; oxygen: 12.3%, 25.4%). All-cause hospitalizations increased 2-fold, with 29.5% of patients hospitalized pre-index vs. 59.0% post-index (P < 0.0001). Intensive care unit (ICU) utilization increased from 6.6 to 17.2% (P = 0.0433). Mean inpatient visits increased from 0.5 (SD, 0.9) to 1.1 (1.3) (P < 0.0001); length of stay (days) increased from 5.4 (5.9) to 7.5 (11.6) (P < 0.0001); bed days from 2.5 (6.6) to 8.0 (16.3) (P < 0.0001); ICU days from 3.8 (2.3) to 7.0 (13.2) (P = 0.0362); and outpatient visits from 24.5 (16.8) to 32.9 (21.8) (P < 0.0001). Mean (SD) total all-cause healthcare costs increased from $43,201 ($98,604) pre-index to $108,387 ($190,673) post-index (P < 0.0001); this was largely driven by hospitalizations (which increased from a mean [SD] of $13,133 [$28,752] to $63,218 [$75,639] [P < 0.0001]) and outpatient costs ($16,150 [$75,639] to $25,604 [$93,964] [P < 0.0001]).
CONCLUSIONS: PH-ILD contributes to a high HCRU and cost burden. Timely identification, management, and treatment are needed to mitigate the clinical and economic consequences of PH-ILD development and progression.

暂无摘要。

UNASSIGNED: Polycystic ovarian syndrome (PCOS) is a common but complex endocrine disorder widely linked to infertility and miscarriage. This study assessed the correlation between PCOS and infertility.
UNASSIGNED: Using the latest data from the Global Burden of Disease 2019 database, we conducted an in-depth assessment of the disease burden attributed to PCOS in China. This analysis was performed using the joinpoint regression, age-period-cohort, and autoregressive integrated moving average (ARIMA) models.
UNASSIGNED: Between 1990-2019, an upward trend was observed in the age-standardized prevalence of PCOS-related female infertility in China. Joinpoint regression analysis revealed an increasing trend in the age-standardized prevalence of PCOS-related female infertility burden indicators as well as the average annual percentage change and annual percentage change across all age groups in China. In terms of the cohort effect, the period rate ratios associated with the age-standardized prevalence of PCOS-related infertility increased steadily over time. The ARIMA model predicted a relatively swift upward trend in the age-standardized prevalence of PCOS-related infertility in China from 2020-2030.
UNASSIGNED: The age-standardized prevalence of PCOS-related female infertility in China has increased between 1990-2019. The ARIMA model predicted that the age-standardized prevalence of this disease may continue to increase over the next decade. This study can increase the public\'s attention, improve women\'s health awareness, and have a certain significance for reducing female infertility related to PCOS.

BACKGROUND: This study quantifies the longitudinal economic burden for a wide spectrum of incident complications, metabolic syndrome (MS)-related risk factors, and comorbidities in patients with MS.
METHODS: This retrospective study utilized linked data from the 2013 National Health Interview Survey and the 2012-2021 National Health Insurance Research Database to identify MS individuals and their characteristics. The incidence rate of each complication was calculated as the number of complication events in the study period divided by the total person-years during follow-up. The healthcare costs of complications were analyzed using a generalized estimating equation model to determine the cost impact of complications after adjustment for patients\' characteristics. Sensitivity analyses on variables with high missing rates (i.e., cause of death, body mass index) were performed.
RESULTS: Among 837 identified MS individuals over 8.28 (± 1.35) years of follow-up, the most frequent complications were microvascular diseases (incidence rate for nephropathy/retinopathy/neuropathy: 6.49/2.64/2.08 events per 100 person-years), followed by cardiovascular diseases (2.47), peripheral vascular diseases (2.01), and cancers (1.53). Death was the costliest event (event-year cost per person: USD 16,429) and cancers were the most expensive complications (USD 9,127-11,083 for non-MS- and MS-related cancers). Developing non-MS/MS-related cancers, cardiovascular diseases, and obesity-related medical conditions increased annual costs by 273% (95% CI: 181-397%)/175% (105-269%), 159% (118-207%), and 140% (84-214%), respectively. Microvascular diseases had the lowest cost impact on annual costs (i.e., 27% [17-39%]/27% [11-46%]/24% [11-37%] increases for nephropathy/neuropathy/retinopathy, respectively). Having existing comorbidities increased annual costs by 20% (osteoarthritis) to 108% (depression). Having morbid obesity (i.e., body mass index ≥ 35 kg/m2) increased annual costs by 58% (30-91%).
CONCLUSIONS: The economic burden from costly incident complications (i.e., cardiovascular diseases, peripheral vascular diseases, cancers), MS-related risk factors (i.e., morbid obesity), and comorbidities (i.e., depression) highlight the urgent need for early intervention to prevent MS and its progression. The comprehensive cost estimates reported in this study can facilitate the parameterization of economic analyses to identify cost-effective interventions for these patients.

The global incidence of gout has increased rapidly, likely secondary to the increase in the prevalence of conditions that predispose to gout, such as obesity. Depending on the population studied, the prevalence of gout ranges from less than 1 to 6.8%. Thus, gout can be a significant burden on healthcare systems. The objective of this study is to observe the trends in the incidence, prevalence, and disability-adjusted life years (DALYs) of gout between 1990 and 2019 globally and in the European Union (EU) 15+ nations. We extracted data from the Global Burden of Disease Study database based on the International Classification of Diseases (ICD) versions 10 and 9. Incidence, prevalence, and disability-adjusted life years (DALYs) were extracted for individual EU15+ countries and globally in males and females between 1990 and 2019. Joinpoint regression analysis was used to describe trends. Between 1990 and 2019, gout prevalence, incidence, and DALYs increased in both males (+ 21.42%, + 16.87%, + 21.49%, respectively) and females (+ 21.06%, + 18.75%, + 20.66%, respectively) globally. The United States of America had the highest increase in prevalence (males: + 90.6%; females + 47.1%), incidence (males: + 63.73%; females: + 39.11%) and DALYs (males: + 90.43%; females: + 42.75%). Incidence, prevalence, and DALYs from gout are increasing worldwide and in most of the EU15+ countries for males and females. Studies have reported the association of gout with comorbidities such as metabolic syndrome, diabetes mellitus, and cardiovascular disease. Health policies and resource allocation are required to increase awareness and modify risk factors globally.

OBJECTIVE: To estimate the economic burden associated with COVID-19 in Córdoba, Colombia, 2020 and 2021.
METHODS: Economic burden study. Direct costs were analyzed from the third-party payer perspective using healthcare administrative databases and interviews from a cohort of confirmed COVID-19 cases from Córdoba. Costing aggregation was performed by the bottom-up method. Indirect costs were estimated using the productivity loss approach. Contrast tests and statistical models were estimated at 5% significance.
RESULTS: We studied 1,800 COVID-19 cases. The average economic cost of COVID-19 per episode was estimated at US$ 2,519 (95%CI 1,980;3,047). The direct medical cost component accounted for 92.9% of the total; out-of-pocket and indirect costs accounted for 2% and 5.1%, respectively.
CONCLUSIONS: COVID-19 economic cost was mainly due to direct medical costs. This study provided evidence of the economic burden faced by households due to COVID-19, with the most vulnerable households bearing much of the burden on their income.

OBJECTIVE: Existing studies on the cost of inflammatory arthritis (IA) and osteoarthritis (OA) are often cross-sectional and/or involve patients with various disease durations, thus not providing a comprehensive perspective on the cost of illness from the time of diagnosis. In this study, we therefore assessed the cost of lost productivity in an inception cohort of patients with IA and OA in the year before and after diagnosis.
METHODS: Employment status, monthly income, days absent from work, and presenteeism were collected at diagnosis and 1 year later to estimate the annual costs of unemployment, absenteeism, and presenteeism using human capital approach. Non-parametric bootstrapping was performed to account for the uncertainty of the estimated costs.
RESULTS: Compared to patients with OA (n = 64), patients with IA (n = 102, including 48 rheumatoid arthritis, 19 spondyloarthritis, 23 psoriatic arthritis, and 12 seronegative IA patients) were younger (mean age: 52.3 vs. 59.5 years) with a greater proportion receiving treatment (99.0% vs. 67.2%) and a greater decrease in presenteeism score (median: 15% vs 10%) 1 year after diagnosis. Annual costs of absenteeism and presenteeism were lower in patients with IA than those with OA both in the year before (USD566 vs. USD733 and USD8,472 vs. USD10,684, respectively) and after diagnosis (USD636 vs. USD1,035 and USD6,866 vs. USD9,362, respectively).
CONCLUSIONS: Both IA and OA impose substantial cost of lost productivity in the year before and after diagnosis. The greater improvement in productivity seen in patients with IA suggests that treatment for IA improves work productivity.

Morbidity and mortality caused by respiratory syncytial virus (RSV) in older adults and those with underlying health conditions can be potentially alleviated through vaccination. To assist vaccine policy decision-makers and payers, we estimated the annual economic burden of RSV-associated cardiorespiratory hospitalizations among insured US adults aged ≥18 y in the Merative MarketScan claims database from September through August of 2017-2018 and 2018-2019. Negative binomial regression models were used to estimate the number of RSV-associated cardiorespiratory hospitalizations using MarketScan-identified cardiorespiratory diagnosis codes in the presence or absence of RSV circulation per weekly laboratory test positivity percentages from the Centers for Disease Control and Prevention. This number was multiplied by mean cardiorespiratory hospitalization costs to estimate total costs for RSV-associated cardiorespiratory hospitalizations. Number and cost for International Classification of Diseases (ICD)-coded RSV hospitalizations were quantified from MarketScan. In 2017-2018 and 2018-2019, respectively, 18,515,878 and 16,462,120 adults with commercial or Medicare supplemental benefits were assessed. In 2017-2018, 301,248 cardiorespiratory hospitalizations were observed; 0.32% had RSV-specific ICD codes, costing $44,916,324, and 5.52% were RSV-associated cardiorespiratory hospitalizations, costing $734,078,602 (95% CI: $460,826,580-$1,103,358,799). In 2018-2019, 215,525 cardiorespiratory hospitalizations were observed; 0.34% had RSV-specific ICD codes, costing $33,053,105, and 3.14% were RSV-associated cardiorespiratory hospitalizations, costing $287,549,472 (95% CI: $173,377,778-$421,884,259). RSV contributes to substantial economic burden of cardiorespiratory hospitalizations among US adults. Modeling excess risk using viral positivity data provides a comprehensive estimation of RSV hospitalization burden and associated costs, compared with relying on ICD diagnosis codes alone.