BACKGROUND: Hospitalizations of high-risk infants are among the most expensive in the United States, with many requiring surgery and months of intensive care. Healthcare costs and resource use associated with hospitalized infant opioid exposure are less well known.
METHODS: A retrospective cohort of high-risk infants aged <1 y admitted from 47 children\'s hospitals from 2010 to 2020 was identified from Pediatric Healthcare Information System. High-risk infants were identified by International Classification of Diseases 9/10 codes for congenital heart disease procedures, medical and surgical necrotizing enterocolitis, extremely low birth weight, very low birth weight, hypoxemic ischemic encephalopathy, extracorporeal membrane oxygenation, and gastrointestinal tract malformations. Healthcare resource utilization was estimated using standardized unit costs (SUCs). The impact of opioid use on SUC was examined using general linear models and an instrumental variable.
RESULTS: Overall, 126,897 high-risk infants were identified. The cohort was majority White (57.1%), non-Hispanic (72.0%), and male (55.4%). Prematurity occurred in 26.4% and a majority underwent surgery (77.9%). Median SUC was $120,585 (interquartile range: $57,602-$276,562) per infant. On instrumental variable analysis, each day of opioid use was associated with an increase of $4406 in SUC. When adjusting for biologic sex, race, ethnicity, insurance type, diagnosis category, number of comorbidities, mechanical ventilation, and total parental nutrition use, each day of opioid use was associated with an increase of $2177 per infant.
CONCLUSIONS: Prolonged opioid use is significantly associated with healthcare utilization and costs for high-risk infants, even when accounting for comorbidities, intensive care, ventilation, and total parental nutrition use. Future studies are needed to estimate the long-term complications and additional costs resulting from prolonged opioid exposures in high-risk infants.

UNASSIGNED: The impact of teleneurology on healthcare utilization (HCU) in MS is unknown.
UNASSIGNED: Evaluate the association between teleneurology and HCU.
UNASSIGNED: A retrospective longitudinal analysis of HCU among adult MS and clinically isolated syndrome (CIS) patients residing in the Cleveland/Akron area from July 2020 to July 2022. Negative binomial regression models evaluated the association between number of laboratory and MRI orders per visit and number of emergency visits per patient across patient groups with variable proportions of teleneurology visits.
UNASSIGNED: A total of 3208 patients completed 15,795 visits. Patients using teleneurology had more visits (rate ratio (RR) 1.707-1.719, p < 0.001). Teleneurology visits had fewer laboratory (RR 0.571) and MRI orders (RR 0.693, p < 0.001). There was no difference in emergency care utilization for teleneurology patients (p ⩾ 0.05). More emergency visits were observed in Black (RR 1.414) and Medicaid (RR 1.893) patients, regardless of visit type (p < 0.001).
UNASSIGNED: Teleneurology visits were associated with fewer orders, suggesting teleneurology may be incorporated into healthcare models without increasing utilization related to the visit. Teleneurology was also associated with increased visit volumes but no difference in emergency HCU. More studies are needed to clarify the ultimate impact of teleneurology on overall HCU. More emergency visits, regardless of visit type, were observed among at-risk populations, warranting further investigation.

OBJECTIVE: Lyme borreliosis (LB) is the most common tick-borne disease in Germany; however, data on the economic burden of LB are limited. In this study, we aim to report healthcare costs, healthcare resource utilisation (HCRU) and diagnostic consumption associated with LB by clinical manifestation.
METHODS: Using specific case definitions, patients with localised disease (erythema migrans [EM]) or disseminated disease (Lyme arthritis [LA], Lyme neuroborreliosis [LNB] and other rarer manifestations [OTH]) were identified from a claims database in 2016 and followed up for 3 years (2016-2019). After propensity score matching, excess costs and HCRU were calculated as the differences between each LB cohort and the matched control cohort.
RESULTS: On a per-patient basis, the excess all-cause healthcare cost was €130 for EM during Quarter 1 of Year 1, and €1539 for LA, €3248 for LNB and €4137 for OTH during Year 1. Only for OTH, additional €1860 was observed in Year 2. No increase in costs was observed in Year 3. When extrapolated to all German patients with statutory health insurance, LB was associated with €64.5 million in excess costs. Although disseminated manifestations only accounted for 7.8% of all LB cases, they were responsible for 66% of overall costs. In addition, LB patients consumed healthcare resources of 1.4 million excess outpatient visits, 13,000 excess hospitalisations, 96,000 ELISAs and 65,000 Western blots.
CONCLUSIONS: This study shows the substantial economic burden of LB to the German healthcare system.

Microbial keratitis (MK) is the fourth leading cause of blindness globally, imposing a substantial burden on the healthcare system. This study aims to determine the cost composition of MK patients and explore factors influencing these expenses. We analyzed the demographics, clinical features, and costs of 602 MK patients treated at Beijing Tongren Hospital from June 2021 to October 2023. The analysis revealed the average total cost of treating MK was USD 1646.8, with a median of USD 550.3 (IQR: 333.3-1239.1). Patients with Acanthamoeba keratitis (AK) incurred the highest median total costs at USD 706.2 (IQR: 399.2-3370.2). Additionally, AK patients faced the highest costs for ophthalmic exams and laboratory tests (both p < 0.001), while patients with fungal keratitis (FK) and viral keratitis (VK) experienced higher medication costs. Costs varied significantly with the severity of MK, especially for outpatients at severity level 4, which was markedly higher than levels 1-3 (USD 1520.1 vs. USD 401.0, p < 0.001). Delayed presentation also resulted in increased costs (USD 385.2 vs. USD 600.3, p < 0.001). Our study highlights the financial burden associated with MK treatment and underscores the importance of timely and accurate diagnosis and intervention.

BACKGROUND: Cancer is a critical public health issue that imposes a considerable economic burden, especially in low-resource countries. In Bangladesh, there has been a noticeable lack of research focusing on the economic burden associated with cancer.
OBJECTIVE: This study aimed to examine the economic burden of cancer care and the contributing factors.
METHODS: This cross-sectional study included 623 cancer patients. Data were collected between January and May 2022. The magnitude of the economic burden (no burden to extreme burden) was the outcome variable. A logistic regression model was performed to determine the associated factors of the economic burden of cancer.
RESULTS: Overall, 34% of cancer survivors experienced extreme economic burden due to treatment costs. Patients with prostate (relative risk ratio, RRR = 23.24; 95% confidence interval, CI: 1.97, 273.70), bone (RRR = 5.85; 95% CI: 1.10, 31.04), and liver cancer (RRR = 4.94; 95% CI: 1.29, 18.9) reported significantly higher extreme economic burden compared to patients with other cancers. The economic burden was significantly higher for patients diagnosed with Stage III (RRR = 38.69; 95% CI: 6.17, 242.72) and Stage IV (RRR = 24.74; 95% CI: 3.22, 190.11) compared to Stage 0. Patients from low-income households suffered from nine times more extreme burden (RRR = 8.85; 95% CI: 4.05, 19.36) compared with those from high-income households.
CONCLUSIONS: Our study found a disproportionately high economic burden among patients with cancer, across disease sites, stages, and income quintiles. The burden was significantly higher among patients with prostate, bone, and liver cancer, and those diagnosed with advanced stage. The findings underscore the importance of early cancer detection before metastasis which may lead to more efficient treatment, avoid disease progression, lower disease management costs, and better health outcomes. Patients from low-income households experience an extreme economic burden due to cancer, highlighting the need for affordable healthcare services, financial support, and healthcare subsidies.

BACKGROUND: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among reproductive-aged females, and women with PCOS are at increased risk for endometrial cancer (EndoCA), the most common gynecological malignancy. Our study sought to assess the economic burden associated with EndoCA in PCOS.
METHODS: Using PRISMA systematic review guidelines, we evaluated studies on EndoCA rates in patients with PCOS. Excluded studies were reviews and case reports, non-human subjects, without controls, without full text available, or reporting solely on other conditions. Selected studies were assessed for quality using the Newcastle-Ottawa Scale (NOS). Meta-analysis used DerSimonian-Laird random effects model to assess pooled risk ratio (RR). Excess cost was assessed in U.S. dollars (USD).
RESULTS: Of 98 studies screened, nine were included. Pooled RR for EndoCA in PCOS was 3.46 (95% CI 2.28-5.23), p=<0.001. In the US, prevalence of EndoCA in patients with PCOS in 2020 was 1.712%, compared with a baseline estimated prevalence in all women of 0.489%. The excess prevalence of EndoCA attributable to PCOS was 1.223%, approximately 98,348 affected women. A population-attributable fraction of EndoCA for PCOS was 24.4%. Given estimated cost of EndoCA exceeds $1.9 billion (in 2023 USD), the economic burden of EndoCA attributable to PCOS exceeds $467 million/year.
CONCLUSIONS: The excess annual healthcare cost for EndoCA attributable to PCOS exceeds $467 million/year (2023 USD) for the US. Although a concerning morbidity of PCOS, it is notable that the economic burden of EndoCA attributable to the disorder represents only a small fraction of its total healthcare burden.

UNASSIGNED: Cognitive impairment (CI) raises risks for unplanned healthcare utilisation and expenditures and for premature mortality. It may also reduce risks for planned expenditures. Therefore, the net cost implications for those with CI remain unknown.
UNASSIGNED: We examined differences in healthcare utilisation and cost between those with and without CI. Using administrative healthcare utilisation and cost data linked to the Singapore Chinese Health Study cohort, we estimated regression-adjusted differences in annual healthcare utilisation and costs by CI status determined by modified Mini-Mental State Exam. Estimates were stratified by ex ante mortality risk constructed from out-of-sample Cox model predictions applied to the full sample, with a separate analysis restricted to decedents. These estimates were used to project differential healthcare costs by CI status over 5 years.
UNASSIGNED: Patients with CI had 17% higher annual cost compared to those without CI (SGD4870 versus SGD4177, P<0.01). Accounting for the greater mortality risk, individuals with CI cost 9% to 17% more over 5 years, or SGD2500 (95% confidence interval 1000-4200) to SGD3600 (95% confidence interval 1300-6000) more, depending on their age. Higher cost was mainly due to more emergency department visits and subsequent admissions (i.e. unplanned). Differences attenuated in the last year of life when costs increased dramatically for both groups.
UNASSIGNED: Ageing populations and higher rates of CI will further strain healthcare resources primarily through greater use of emergency department visits and unplanned admissions. Efforts should be made to identify at risk patients with CI and take appropriate remediation strategies.

BACKGROUND: The decision to discontinue intensive care unit (ICU) treatment during the end-oflife stage has recently become a significant concern in Korea, with an observed increase in life-sustaining treatment (LST) withdrawal. There is a growing demand for evidence-based support for patients, families, and clinicians in making LST decisions. This study aimed to identify factors influencing LST decisions in ICU inpatients and to analyze their impact on healthcare utilization.
METHODS: We retrospectively reviewed medical records of ICU patients with neurological disorders, infectious disorders, or cancer who were treated at a single university hospital between January 1, 2019 and July 7, 2021. Factors influencing the decision to withdraw LST were compared between those who withdrew LST and those who did not.
RESULTS: Among 54,699 hospital admissions, LST was withdrawn in 550 cases (1%). Cancer was the most common diagnosis, followed by pneumonia and cerebral infarction. Among ICU inpatients, LST was withdrawn from 215 (withdrawal group). The withdrawal group was older (78 vs. 75 years, P=0.002), had longer total hospital stays (16 vs. 11 days, P<0.001), and higher ICU readmission rates than the control group. There were no significant differences in the healthcare costs of ICU stay between the two groups. Most LST decisions (86%) were made by family.
CONCLUSIONS: The decisions to withdraw LST of ICU inpatients were influenced by age, readmission, and disease category. ICU costs were similar between the withdrawal and control groups. Further research is needed to tailor LST decisions in the ICU.

BACKGROUND: We aimed to describe healthcare resource utilization (HCRU) and healthcare costs in patients with newly confirmed lupus nephritis (LN) in the United States over a 5-year follow-up period.
METHODS: This retrospective, longitudinal cohort study (GSK Study 214102) utilized administrative claims data to identify individuals with a newly confirmed diagnosis of LN between August 01, 2011, and July 31, 2018, based on LN-specific International Classification of Diseases diagnosis codes. Index was the date of first LN-related diagnosis code claim. HCRU, healthcare costs, and incidence of systemic lupus erythematosus (SLE) flares were reported annually among eligible patients with at least 5 years continuous enrollment post-index.
RESULTS: Of 2,159 patients with a newly confirmed diagnosis of LN meeting inclusion and exclusion criteria, 335 had at least 5 years continuous enrollment post-index. HCRU was greatest in the first year post-LN diagnosis across all categories (inpatient admission, emergency room [ER] visits, ambulatory visits, and pharmacy use), and trended lower, though remained substantial, in the 5-year follow-up period. Among patients with LN and HCRU, the mean (standard deviation [SD]) number of ER visits and inpatient admissions were 3.7 (4.6) and 1.8 (1.5), respectively, in Year 1, which generally remained stable in Years 2-5; the mean (SD) number of ambulatory visits and pharmacy fills were 35.8 (25.1) and 62.9 (43.8), respectively, in Year 1, and remained similar for Years 2-5. Most patients (≥ 91.6%) had ≥ 1 SLE flare in each of the 5 years of follow-up. The proportion of patients who experienced a severe SLE flare was higher in Year 1 (31.6%) than subsequent years (14.3-18.5%). Total costs (medical and pharmacy; mean [SD]) were higher in Year 1 ($44,205 [71,532]) than subsequent years ($29,444 [52,310]-$32,222 [58,216]), driven mainly by inpatient admissions (Year 1: $21,181 [58,886]; subsequent years: $7,406 [23,331]-$9,389 [29,283]).
CONCLUSIONS: Patients with a newly confirmed diagnosis of LN have substantial HCRU and healthcare costs, particularly in the year post-diagnosis, largely driven by inpatient costs. This highlights the need for improved disease management to prevent renal damage, improve patient outcomes, and reduce costs among patients with renal involvement.

BACKGROUND: Guideline Directed Medical Therapy (GDMT) has been revolutionary in improving outcomes of heart failure patients. However, with the addition of more medication classes, the annual cost of these medications on the US healthcare system needs further evaluation.
OBJECTIVE: We aim to evaluate the trend of annual cost of GDMT from 2013 to 2021 using the Medicare-part D Database.
METHODS: Using Medicare Part D database (2013-2021), we determined the number of beneficiaries receiving these drugs, the total number of 30-day fills for each medication, and the total annual spending on these medications. Linear regression was used to analyze data using Python Programming Language. P value of less than 0.05 was considered to be statistically significant.
RESULTS: The estimated annual Medicare- part D spending on empagliflozin had a 50 % increase in cost between 2020 and 2021, which could be attributed to its FDA approval for heart failure with reduced ejection fraction. Empagliflozin cost Medicare 3.73 billion USD in 2021 alone. In addition, sacubitril-valsartan had a strong trajectory since its introduction to the market in 2015. Since its approval in July 2015, it cost Medicare 4.51 billion USD. The Mineralocorticoid Receptor Antagonist class was the least costly class of GDMT.
CONCLUSIONS: The rise in the cost of GDMT is not proportionate amongst the different classes of GDMT. Newer classes of medications cast a significant cost on Medicare in recent years.