Direct Medical Cost of Hospitalization for Acute Stroke in Lebanon: A Prospective Incidence-Based Multicenter Cost-of-Illness Study

Endovascular Thrombectomy with or without Bridging Thrombolysis in Acute Ischemic Stroke: A Cost-Effectiveness Analysis

BACKGROUND

There is unclear added benefit of intravenous thrombolysis (IVT) with endovascular thrombectomy (EVT). We performed a cost-effectiveness analysis to assess the cost-effectiveness of comparing EVT with IVT versus EVT alone.

METHODS

We used a decision tree to examine the short-term costs and outcomes at 90 days after the occurrence of index stroke to compare the cost-effectiveness of EVT alone with EVT plus IVT for patients with stroke. Subsequently, we developed a Markov state transition model to assess the costs and outcomes over 1-year, 5-year, and 20-year time horizons. We estimated total and incremental cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio.

RESULTS

The average costs per patient were estimated to be $47,304, $49,510, $59,770, and $76,561 for EVT-only strategy and $55,482, $57,751, $68,314, and $85,611 for EVT with IVT over 90 days, 1 year, 5 years, and 20 years, respectively. The cost saving of EVT-only strategy was driven by the avoided medication costs of IVT (ranging from $8,178 to $9,050). The additional IVT led to a slight decrease in QALY estimate during the 90-day time horizon (loss of 0.002 QALY), but a small gain over 1-year and 5-year time horizons (0.011 and 0.0636 QALY). At a willingness-to-pay threshold of $50,000 per QALY gained, the probabilities of EVT only being cost-effective were 100%, 100%, and 99.3% over 90-day, 1-year, and 5-year time horizons.

CONCLUSION

Our cost-effectiveness model suggested that EVT only may be cost-effective for patients with acute ischemic stroke secondary to large vessel occlusion.

The costs associated with stroke care continuum: a systematic review

Stroke, a leading cause of death and long-term disability, has a considerable social and economic impact. It is imperative to investigate stroke-related costs. The main goal was to conduct a systematic literature review on the described costs associated with stroke care continuum to better understand the evolution of the economic burden and logistic challenges. This research used a systematic review method. We performed a search in PubMed/MEDLINE, ClinicalTrial.gov, Cochrane Reviews, and Google Scholar confined to publications from January 2012 to December 2021. Prices were adjusted using consumer price indices of the countries in the studies in the years the costs were incurred to 2021 Euros using the World Bank and purchasing power parity exchange rate in 2020 from the Organization for Economic Co-operation and Development with the XE Currency Data API. The inclusion criteria were all types of publications, including prospective cost studies, retrospective cost studies, database analyses, mathematical models, surveys, and cost-of-illness (COI) studies. Were excluded studies that (a) were not about stroke, (b) were editorials and commentaries, (c) were irrelevant after screening the title and abstract,(d) grey literature and non-academic studies, (e) reported cost indicators outside the scope of the review, (f) economic evaluations (i.e., cost-effectiveness or cost-benefit analyses); and (g) studies not meeting the population inclusion criteria. There may be risk of bias because the effects are dependent on the persons delivering the intervention. The results were synthetized by PRISMA method. A total of 724 potential abstracts were identified of which 25 articles were pulled for further investigation. The articles were classified into the following categories: 1)stroke primary prevention, 2) expenditures related to acute stroke care, 3) expenditures for post-acute strokes, and 4) global average stroke cost. The measured expenditures varied considerably among these studies with a global average cost from €610-€220,822.45. Given the great variability in the costs in different studies, we can conclude that we need to define a common system for assessing the costs of strokes. Possible limitations are related to clinical choices exposed to decision rules that trigger decisions alerts within stroke events in a clinical setting. This flowchart is based on the guidelines for acute ischemic stroke treatment but may not be applicable to all institutions.

One-year recurrence of stroke and death in Lebanese survivors of first-ever stroke: Time-to-Event analysis

BACKGROUND

To date, despite the application of secondary prevention worldwide, first-ever stroke survivors remain at imminent risk of stroke recurrence and death in the short and long term. The present study aimed to assess the cumulative risk rates and identify baseline differences and stroke characteristics of Lebanese survivors.

METHODS

A prospective longitudinal study was conducted among survivors ≥18 years old who were followed-up for 15 months through a face-to-face interview. Kaplan-Meier method was used to calculate the cumulative rates of stroke mortality and recurrence. Cox-regression univariate and multivariable analyses were performed to identify the predictors of both outcomes.

RESULTS

Among 150 subjects (mean age 74 ± 12 years; 58.7% men vs. 44.3% women; 95.3% with ischemic stroke vs. 4.3% with intracerebral hemorrhage), high cumulative risk rates of stroke recurrence (25%) and death (21%) were highlighted, especially in the acute phase. Survival rates were lesser in patients with stroke recurrence compared to those without recurrence (Log rank test p < 0.001). Older age was the main predictor for both outcomes (p < 0.02). Large artery atherosclerosis was predominant in patients with stroke recurrence and death compared to small vessel occlusion (p < 0.02). Higher mental component summary scores of quality of life were inversely associated with stroke recurrence (p < 0.01). Lebanese survivors exhibited the highest percentages of depression and anxiety; elevated Hospital Anxiety and Depression Scale (HADS) scores were seen in those with stroke recurrence and those who died (≥80% with mean HADS scores ≥8). Lower Mini-Mental State Examination scores at the acute phase increased the risk of both outcomes by 10% (p < 0.03). Three out of 13 mortalities (23.1%) were presented with early epileptic seizures (p = 0.012). High educational level was the protective factor against stroke recurrence (p = 0.019). Administration of intravenous thrombolysis decreased the risk of both outcomes by 10% (p > 0.05).

CONCLUSION

Higher rates of stroke recurrence and death were observed in the first year following a stroke in Lebanon. Various factors were identified as significant determinants. Thus, health care providers and officials in Lebanon can use these findings to implement effective preventive strategies to best address the management of these factors to reduce the stroke burden and improve the short and long-term prognosis of stroke survivors.

Shedding Light on the Causes and Characteristics of Stroke in Lebanon: A Systematic Review of Literature

BACKGROUND

The prevalence and severity of stroke in Lebanon has increased over the past decade and stroke is currently the second leading cause of death in the country.

METHODS

We systematically reviewed existing research on stroke prevalence, risk factors, mortality and morbidity of stroke, stroke treatment, and stroke education to assess the epidemiology of stroke in Lebanon. A literature search was conducted on the PubMed database for articles presenting data in any of these 5 categories in Lebanon, as well as articles discussing the Middle East and North Africa region generally.

RESULTS

A high prevalence of modifiable risk factors (cigarette and waterpipe smoking) and risk factors that could be mitigated by lifestyle changes (obesity and hypertension) were found in Lebanon. Stroke mortality rates and risk factors of mortality were consistent with global trends, though the cost of treatment in Lebanon was significantly higher than in other developing nations.

CONCLUSION

Urgent public health initiatives are needed to educate the public about the dangers of modifiable stroke risk factors and to reduce the burden of stroke in Lebanon.

The direct and indirect effects of length of hospital stay on the costs of inpatients with stroke in Ningxia, China, between 2015 and 2020: A retrospective study using quantile regression and structural equation models

Importance

Length of hospital stay (LOHS) is the main cost-determining factor of hospitalization for stroke patients. However, previous analyses involving LOHS did not consider confounding or indirect factors, or the effects of other factors on LOHS and inpatient costs.

Objective

To investigate the direct and indirect effects of LOHS on the hospitalization costs of inpatients with ischemic and hemorrhagic stroke.

Design setting and participants

This was a population-based, retrospective, and observational study that analyzed data acquired from the Nationwide Inpatient Sample between 2015 and 2020 relating to ischemic and hemorrhagic stroke in Ningxia, China.

Main outcomes and measures

Hospitalizations were identified by the International Classification of Diseases 10th Revision (ICD-10). Inpatient costs were described by the median M (P25, P75). We used a quantile regression model to estimate the linear relationships between a group of independent variables X and the quantile of the explained variable hospitalization cost (Y). A structural equation model (SEM) was then used to investigate the direct and indirect effects of LOHS on inpatient costs.

Results

The study included 129,444 patients with ischemic stroke and 15,525 patients with hemorrhagic stroke. The median LOHS was 10 (8-13) days for ischemic stroke and 15 (10-22) days for hemorrhagic stroke. The median M (P₂₅, P₇₅) of inpatient costs was $1020 (742-1545) for ischemic stroke and 2813 (1576-6191) for hemorrhagic stroke. The total effect of LOHS on inpatient costs was 0.795 in patients with ischemic stroke. The effect of yearof discharge (X4) and CCI (X8) on inpatient costs was dominated by an indirect effect through the LOHS. The indirect effect was -0.071 (84.52% of the total effect value) and 0.034 (69.39% of the total effect value), respectively. The total effect of LOHS on inpatient costs in patients with hemorrhagic stroke was 0.754. The influence of CCI on inpatient costs was dominated by an indirect effect through LOHS; the indirect effect value was -0.028 (77.78% of the total effect value). The payment type, surgery, method of discharge, and hospital level also exerted an impact on inpatient costs by direct and indirect effects through the LOHS.

Conclusions and relevance

Length of hospital stay (LOHS) was identified as the main factor influencing hospitalization costs. However, other social factors were shown to indirectly influence hospitalization costs through the LOHS. Taking effective measures to further reduce hospitalization costs remains an effective way to control hospitalization costs for stroke patients.

Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm

Background

Strokes represent a leading cause of mortality globally. The evolution of developing new therapies is subject to safety and efficacy testing in clinical trials, which operate in a limited timeframe. To maximize the impact of these trials, patient cohorts for whom ischemic stroke is likely during that designated timeframe should be identified. Machine learning may improve upon existing candidate identification methods in order to maximize the impact of clinical trials for stroke prevention and treatment and improve patient safety.

Methods

A retrospective study was performed using 41,970 qualifying patient encounters with ischemic stroke from inpatient visits recorded from over 700 inpatient and ambulatory care sites. Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. The primary outcome of interest was the occurrence of ischemic stroke.

Results

After training for optimization, XGBoost obtained a specificity of 0.793, a positive predictive value (PPV) of 0.194, and a negative predictive value (NPV) of 0.985. The MLA further obtained an area under the receiver operating characteristic (AUROC) of 0.88. The Logistic Regression and multilayer perceptron models both achieved AUROCs of 0.862. Among features that significantly impacted the prediction of ischemic stroke were previous stroke history, age, and mean systolic blood pressure.

Conclusion

MLAs have the potential to more accurately predict the near risk of ischemic stroke within a 1-year prediction window for individuals who have been hospitalized. This risk stratification tool can be used to design clinical trials to test stroke prevention treatments in high-risk populations by identifying subjects who would be more likely to benefit from treatment.

Direct Medical Cost of Stroke and the Cost-Effectiveness of Direct Oral Anticoagulants in Atrial Fibrillation-Related Stroke: A Cross-Sectional Study

BACKGROUND

Stroke has significant direct medical costs, and direct oral anticoagulants (DOACs) are better alternatives to warfarin for stroke prevention in atrial fibrillation (AF). This study aimed to determine the direct medical costs of stroke, with emphasis on AF stroke and the cost-effectiveness of DOACs among stroke patients in a tertiary hospital in Malaysia.

METHODS

This study utilised in-patient data from the case mix unit of Universiti Kebangsaan Malaysia Medical Centre (UKMMC) between 2011 and 2018. Direct medical costs of stroke were determined using a top-down costing approach and factors associated with costs were identified. Incremental cost effectiveness ratio (ICER) was calculated to compare the cost-effectiveness between DOACs and warfarin.

RESULTS

The direct medical cost of stroke was MYR 11,669,414.83 (n = 3689). AF-related stroke cases had higher median cost of MYR 2839.73 (IQR 2269.79-3101.52). Regression analysis showed that stroke type (AF versus non-AF stroke) (p = 0.013), stroke severity (p = 0.010) and discharge status (p < 0.001) significantly influenced stroke costs. DOACs were cost-effective compared to warfarin with an ICER of MYR 19.25.

CONCLUSIONS

The direct medical cost of stroke is substantial, with AF-stroke having a higher median cost per stroke care. DOACs were cost effective in the treatment of AF-related stroke in UKMMC.

The economic burden of stroke: a systematic review of cost of illness studies

Stroke is one of the leading causes of morbidity and mortality worldwide. As the number of stroke cases is rising from one year to another, policymakers require data on the amount spent on stroke to enforce better financing policies for prevention, hospital care, outpatient rehabilitation services and social services. We aimed to systematically assess the economic burden of stroke at global level. Cost of stroke studies were retrieved from five databases. We retrieved the average cost per patient, where specified, or estimated it using a top-down approach. Resulting costs were grouped in two main categories: per patient per year and per patient lifetime. We extracted information from forty-six cost of illness studies. Per patient per year costs are larger in high income countries and in studies conducted from the payer perspective. The highest average per patient per year cost by country was reported in the United States ($59,900), followed by Sweden ($52,725) and Spain ($41,950). The highest per patient lifetime costs were reported in Australia ($232,100) for all identified definitions of stroke. Existing literature regarding the economic burden of stroke is concentrated in high-income settings, with very few studies conducted in South America and Africa. Published manuscripts on this topic highlight substantial methodological heterogeneity, rendering comparisons difficult or impossible, even within the same country or among studies with similar costing perspectives.

Analysing and quantifying the effect of predictors of stroke direct costs in South Africa using quantile regression

BACKGROUND

In South Africa (SA), stroke is the second highest cause of mortality and disability. Apart from being the main killer and cause of disability, stroke is an expensive disease to live with. Stroke costs include death and medical costs. Little is known about the stroke burden, particularly the stroke direct costs in SA. Identification of stroke costs predictors using appropriate statistical methods can help formulate appropriate health programs and policies aimed at reducing the stroke burden. Analysis of stroke costs have in the main, concentrated on mean regression, yet modelling with quantile regression (QR) is more appropriate than using mean regression. This is because the QR provides flexibility to analyse the stroke costs predictors corresponding to quantiles of interest. This study aims to estimate stroke direct costs, identify and quantify its predictors through QR analysis.

METHODS

Hospital-based data from 35,730 stroke cases were retrieved from selected private and public hospitals between January 2014 and December 2018. The model used, QR provides richer information about the predictors on costs. The prevalence-based approach was used to estimate the total stroke costs. Thus, stroke direct costs were estimated by taking into account the costs of all stroke patients admitted during the study period. QR analysis was used to assess the effect of each predictor on stroke costs distribution. Quantiles of stroke direct costs, with a focus on predictors, were modelled and the impact of predictors determined. QR plots of slopes were developed to visually examine the impact of the predictors across selected quantiles.

RESULTS

Of the 35,730 stroke cases, 22,183 were diabetic. The estimated total direct costs over five years were R7.3 trillion, with R2.6 billion from inpatient care. The economic stroke burden was found to increase in people with hypertension, heart problems, and diabetes. The age group 55-75 years had a bigger effect on costs distribution at the lower than upper quantiles.

CONCLUSIONS

The identified predictors can be used to raise awareness on modifiable predictors and promote campaigns for healthy dietary choices. Modelling costs predictors using multivariate QR models could be beneficial for addressing the stroke burden in SA.

Economic Burden of Stroke Disease: A Systematic Review

Globally, one of the main causes of non-communicable disease as a cause of death every year is stroke. The objective of this study was to analyze the burden in consequence of stroke. This research used a systematic review method. Furthermore, a search for articles was carried out in June–July 2020. Four databases were used to search articles from 2015 to 2020. Eligible studies were identified, analyzed, and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The inclusion criteria were prospective cost studies, retrospective cost studies, database analysis, mathematical models, surveys, and COI studies that assess burden of stroke in primary and referral healthcare (hospital-based). The results showed that from four databases, 9270 articles were obtained, and 13 articles were qualified. A total of 9270 articles had the identified search keywords, but only 13 articles met the set criteria for inclusion. The criteria for inclusion were stroke patients, the economic burden of stroke disease based on cost of illness method, which is approximately equal to USD 1809.51–325,108.84 (direct costs 86.2%, and indirect costs 13.8%). Those that used the health expenditure method did not present the total cost; instead, only either direct or indirect cost of health expenditure were reported. For most hospital admissions due to stroke, LOS (length of stay) was the dominant cost. The high economic burden to manage stroke justifies the promotion and preventive efforts by the policymakers and motivates the practice of healthy lifestyles by the people.

Societal Cost of Ischemic Stroke in Romania: Results from a Retrospective County-Level Study

BACKGROUND

Health policies in transitioning health systems are rarely informed by the economic burden of disease due to scanty access to data. This study aimed to estimate direct and indirect costs for first-ever acute ischemic stroke (AIS) during the first year for patients residing in Cluj, Romania, and hospitalized in 2019 at the County Emergency Hospital (CEH).

METHODS

The study was conducted using a mixed, retrospective costing methodology from a societal perspective to measure the cost of first-ever AIS in the first year after onset. Patient pathways for AIS were reconstructed to aid in mapping inpatient and outpatient cost items. We used anonymized administrative and clinical data at the hospital level and publicly available databases.

RESULTS

The average cost per patient in the first year after stroke onset was RON 25,297.83 (EUR 5226.82), out of which 80.87% were direct costs. The total cost in Cluj, Romania in 2019 was RON 17,455,502.7 (EUR 3,606,505.8).

CONCLUSIONS

Our costing exercise uncovered shortcomings of stroke management in Romania, particularly related to acute care and neurorehabilitation service provision. Romania spends significantly less on healthcare than other countries (5.5% of GDP vs. 9.8% European Union average), exposing stroke survivors to a disproportionately high risk for preventable and treatable post-stroke disability.

Big Data-Enabled Analysis of DRGs-Based Payment on Stroke Patients in Jiaozuo, China

Stroke is the first leading cause of mortality in China with annual 2 million deaths. According to the National Health Commission of the People's Republic of China, the annual in-hospital costs for the stroke patients in China reach ¥20.71 billion. Moreover, multivariate stepwise linear regression is a prevalent big data analysis tool employing the statistical significance to determine the explanatory variables. In light of this fact, this paper aims to analyze the pertinent influence factors of diagnosis related groups- (DRGs-) based stroke patients on the in-hospital costs in Jiaozuo city of Henan province, China, to provide the theoretical guidance for medical payment and medical resource allocation in Jiaozuo city of Henan province, China. All medical data records of 3,590 stroke patients were from the First Affiliated Hospital of Henan Polytechnic University between 1 January 2019 and 31 December 2019, which is a Class A tertiary comprehensive hospital in Jiaozuo city. By using the classical statistical and multivariate linear regression analysis of big data related algorithms, this study is conducted to investigate the influence factors of the stroke patients on in-hospital costs, such as age, gender, length of stay (LoS), and outcomes. The essential findings of this paper are shown as follows: (1) age, LoS, and outcomes have significant effects on the in-hospital costs of stroke patients; (2) gender is not a statistically significant influence factor on the in-hospital costs of the stroke patients; (3) DRGs classification of the stroke patients manifests not only a reduced mean LoS but also a peculiar shape of the distribution of LoS.