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Xu J, Ye R, Zhao J, Fan X, Xue K, Li X, Zhu X, Gao Y, Wang Y. Hospitalization costs in patients with stroke in southeastern China: a retrospective population-based cohort study, 2019-2022. Front Public Health 2024; 12:1442171. [PMID: 39583074 PMCID: PMC11582024 DOI: 10.3389/fpubh.2024.1442171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 10/23/2024] [Indexed: 11/26/2024] Open
Abstract
Introduction Stroke remains a predominant cause of mortality and accounts for one-third of all stroke-related fatalities worldwide. Increasing expenses associated with stroke are a matter of significant concern; however, this aspect has been insufficiently examined. Methods The purpose of this study was to analyze in-hospital stroke costs and explore potential factors influencing them across stroke subtypes. The records of stroke patients from 50 hospitals in southeastern China between 2019 and 2022 were reviewed using multistage stratified cluster random sampling. We focused on the cost patterns of four stroke types and used multivariate linear regression to identify cost determinants. Results A total of 417 (1.1%) patients had subarachnoid hemorrhage (SAH), 9309 (25.9%) had intracerebral hemorrhage (ICH), 22,248 (61.8%) had ischemic stroke (IS), and 4025 had transient ischemic attack (TIA). The number of stroke patients has sharply increased since the onset of COVID-19, with a majority of them being male (72.2%). Despite the fact that hospitalization costs are highest in tertiary hospitals (Chinese yuan [CNY] 30610.8/United States dollar [USD] 4551.0, interquartile range [IQR] 9944.9, 29668.4/1478.6, 4410.9), the majority of patients are admitted to tertiary hospitals (74.6%) or public hospitals (90.2%). Across all stroke subtypes, patients with SAH had the highest costs (CNY 93,454.9/USD13894.4, IQR 12273.2, 169920.0/1824.7, 25262.8), followed by those with ICH (CNY 48,724.2/USD 7244.0, IQR 16789.6, 57540.7/2496.2, 8554.8), IS (CNY 26,550.3/USD3947.4, IQR 8684.2, 28697.7/1291.1, 4266.6), and TIA (CNY 11,170.1/USD1660.7, IQR 6823.7, 12965.2/1014.5, 1927.6). Therapy fees comprised a significant portion of costs in ICH and IS cases (47.9% and 42.7%, respectively). Materials accounted for the highest proportion of expenses for SAH (56.1%), whereas patients with TIA spent more time on examinations (34.1%). Linear regression analysis revealed that length of stay (LOS), stroke subtype, hospital level, and stroke type were key factors influencing hospitalization costs. Discussion The visiting rate and charges were highest in tertiary public hospitals, and hospitalization costs were higher in hemorrhagic types of stroke than in ischemic types of stroke; the proportion of hospitalization cost categories varied among different types of stroke, with LOS, hospital type, and level substantially affecting hospitalization costs. Enhancing medical insurance reimbursement rates for hemorrhagic strokes, implementing a hierarchical medical system, tailoring cost categories to accommodate varying stroke subtypes, and shortening LOS may help alleviate the economic burden of stroke.
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Affiliation(s)
- Jing Xu
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Ruixue Ye
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Jingpu Zhao
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Xuehui Fan
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Kaiwen Xue
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Xiaoxuan Li
- Rehabilitation Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiaolong Zhu
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Yan Gao
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Yulong Wang
- Department of Rehabilitation, Shenzhen Second People’s Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
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Xie P, Li X, Guo F, Zhang D, Zhang H. Direct medical costs of ischemic heart disease in urban Southern China: a 5-year retrospective analysis of an all-payer health claims database in Guangzhou City. Front Public Health 2023; 11:1146914. [PMID: 37228711 PMCID: PMC10203198 DOI: 10.3389/fpubh.2023.1146914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 04/11/2023] [Indexed: 05/27/2023] Open
Abstract
Introduction This study aimed to estimate the direct medical costs and out-of-pocket (OOP) expenses associated with inpatient and outpatient care for IHD, based on types of health insurance. Additionally, we sought to identify time trends and factors associated with these costs using an all-payer health claims database among urban patients with IHD in Guangzhou City, Southern China. Methods Data were collected from the Urban Employee-based Basic Medical Insurance (UEBMI) and the Urban Resident-based Basic Medical Insurance (URBMI) administrative claims databases in Guangzhou City from 2008 to 2012. Direct medical costs were estimated in the entire sample and by types of insurance separately. Extended Estimating Equations models were employed to identify the potential factors associated with the direct medical costs including inpatient and outpatient care and OOP expenses. Results The total sample included 58,357 patients with IHD. The average direct medical costs per patient were Chinese Yuan (CNY) 27,136.4 [US dollar (USD) 4,298.8] in 2012. The treatment and surgery fees were the largest contributor to direct medical costs (52.0%). The average direct medical costs of IHD patients insured by UEBMI were significantly higher than those insured by the URBMI [CNY 27,749.0 (USD 4,395.9) vs. CNY 21,057.7(USD 3,335.9), P < 0.05]. The direct medical costs and OOP expenses for all patients increased from 2008 to 2009, and then decreased during the period of 2009-2012. The time trends of direct medical costs between the UEBMI and URBMI patients were different during the period of 2008-2012. The regression analysis indicated that the UEBMI enrollees had higher direct medical costs (P < 0.001) but had lower OOP expenses (P < 0.001) than the URBMI enrollees. Male patients, patients having percutaneous coronary intervention operation and intensive care unit admission, patients treated in secondary hospitals and tertiary hospitals, patients with the LOS of 15-30 days, 30 days and longer had significantly higher direct medical costs and OOP expenses (all P < 0.001). Conclusions The direct medical costs and OOP expenses for patients with IHD in China were found to be high and varied between two medical insurance schemes. The type of insurance was significantly associated with direct medical costs and OOP expenses of IHD.
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Affiliation(s)
- Peixuan Xie
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xuezhu Li
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Feifan Guo
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Donglan Zhang
- Division of Health Services Research, New York University Long Island School of Medicine, Mineola, NY, United States
| | - Hui Zhang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
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Bai N, Liu W, Xiang T, Zhou Q, Pu J, Zhao J, Luo D, Liu X, Liu H. Genetic association of ANRIL with susceptibility to Ischemic stroke: A comprehensive meta-analysis. PLoS One 2022; 17:e0263459. [PMID: 35653368 PMCID: PMC9162336 DOI: 10.1371/journal.pone.0263459] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 01/19/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Ischemic stroke (IS) is a complex polygenic disease with a strong genetic background. The relationship between the ANRIL (antisense non-coding RNA in the INK4 locus) in chromosome 9p21 region and IS has been reported across populations worldwide; however, these studies have yielded inconsistent results. The aim of this study is to clarify the types of single-nucleotide polymorphisms on the ANRIL locus associated with susceptibility to IS using meta-analysis and comprehensively assess the strength of the association.
Methods
Relevant studies were identified by comprehensive and systematic literature searches. The quality of each study was assessed using the Newcastle-Ottawa Scale. Allele and genotype frequencies were extracted from each of the included studies. Odds ratios with corresponding 95% confidence intervals of combined analyses were calculated under three genetic models (allele frequency comparison, dominant model, and recessive model) using a random-effects or fixed-effects model. Heterogeneity was tested using the chi-square test based on the Cochran Q statistic and I2 metric, and subgroup analyses and a meta-regression model were used to explore sources of heterogeneity. The correction for multiple testing used the false discovery rate method proposed by Benjamini and Hochberg. The assessment of publication bias employed funnel plots and Egger’s test.
Results
We identified 25 studies (15 SNPs, involving a total of 11,527 cases and 12,216 controls maximum) and performed a meta-analysis. Eight SNPs (rs10757274, rs10757278, rs2383206, rs1333040, rs1333049, rs1537378, rs4977574, and rs1004638) in ANRIL were significantly associated with IS risk. Six of these SNPs (rs10757274, rs10757278, rs2383206, rs1333040, rs1537378, and rs4977574) had a significant relationship to the large artery atherosclerosis subtype of IS. Two SNPs (rs2383206 and rs4977574) were associated with IS mainly in Asians, and three SNPs (rs10757274, rs1333040, and rs1333049) were associated with susceptibility to IS mainly in Caucasians. Sensitivity analyses confirmed the reliability of the original results. Ethnicity and individual studies may be the main sources of heterogeneity in ANRIL.
Conclusions
Our results suggest that some single-nucleotide polymorphisms on the ANRIL locus may be associated with IS risk. Future studies with larger sample numbers are necessary to confirm this result. Additional functional analyses of causal effects of these polymorphisms on IS subtypes are also essential.
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Affiliation(s)
- Na Bai
- Department of Neurology, The Third People’s Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Wei Liu
- Institute of Neuroscience, Kunming Medical University, Kunming, Yunnan, China
- Department of Neurology, Nanbu People’s Hospital, Nanbu, Sichuan, China
| | - Tao Xiang
- Department of Neurology, The Third People’s Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Qiang Zhou
- Department of Neurology, The Third People’s Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Jun Pu
- Department of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Jing Zhao
- Department of Neurology, Nanbu People’s Hospital, Nanbu, Sichuan, China
| | - Danyang Luo
- Nuclear Industry 416 Hospital & The Second Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Xindong Liu
- Nuclear Industry 416 Hospital & The Second Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Hua Liu
- Department of Neurology, The Third People’s Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, Sichuan, China
- * E-mail:
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Lu Y, Sun W, Shen Z, Sun W, Liu R, Li F, Shu J, Tai L, Li G, Chen H, Zhang G, Zhang L, Sun X, Qiu J, Wei Y, Jin H, Huang Y. Regional Differences in Hospital Costs of Acute Ischemic Stroke in China: Analysis of Data From the Chinese Acute Ischemic Stroke Treatment Outcome Registry. Front Public Health 2021; 9:783242. [PMID: 34957035 PMCID: PMC8702643 DOI: 10.3389/fpubh.2021.783242] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Purpose: Studies on the regional differences in hospital costs of acute ischemic stroke (AIS) are scarce in China. We aimed to explore the regional differences in hospital costs and identify the determinants of hospital costs in each region. Methods: Data were collected from the Chinese Acute Ischemic Stroke Treatment Outcome Registry (CASTOR), a multicenter prospective study on patients diagnosed with AIS and hospitalized from 2015 to 2017. Univariate and multivariate analyses were undertaken to identify the determinants of hospital costs of AIS. Results: A total of 8,547 patients were included in the study, of whom 3,700 were from the eastern area, 2,534 were from the northeastern area, 1,819 were from the central area, and 494 were from the western area. The median hospital costs presented a significant difference among each region, which were 2175.9, 2175.1, 2477.7, and 2282.4 dollars in each area, respectively. Each region showed a similar hospital cost proportion size order of cost components, which was Western medicine costs, other costs, diagnostic costs, and traditional medicine costs, in descending order. Male sex, diabetes mellitus, severe stroke symptoms, longer length of stay, admission to the intensive care unit, in-hospital complications of hemorrhage, and thrombectomy were independently associated with hospital costs in most regions. Conclusion: Hospital costs in different regions showed a similar proportion size order of components in China. Each region had different determinants of hospital costs, which reflected its current medical conditions and provided potential determinants for increasing medical efficiency according to each region's situation.
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Affiliation(s)
- Yuxuan Lu
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Weiping Sun
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Zhiyuan Shen
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Wei Sun
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Ran Liu
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Fan Li
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Junlong Shu
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Liwen Tai
- Department of Neurology, Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Guozhong Li
- Department of Neurology, First Affiliated Hospital of Harbin Medical University, Neurology, Harbin, China
| | - Huisheng Chen
- Department of Neurology, The General Hospital of Shenyang Military Command, Shenyang, China
| | - Guiru Zhang
- Department of Neurology, Penglai People's Hospital, Penglai, China
| | - Lei Zhang
- Department of Neurology, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Xuwen Sun
- Department of Neurology, Qingdao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, China
| | - Jinhua Qiu
- Department of Neurology, Huizhou First Hospital, Huizhou, China
| | - Yan Wei
- Department of Neurology, Harrison International Peace Hospital, Hengshui, China
| | - Haiqiang Jin
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Yining Huang
- Department of Neurology, Peking University First Hospital, Beijing, China
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Yang Y, Nicholas S, Maitland E, Huang Z, Chen X, Ma Y, Shi X. An equity evaluation in stroke inpatients in regard to medical costs in China: a nationwide study. BMC Health Serv Res 2021; 21:425. [PMID: 33952266 PMCID: PMC8097888 DOI: 10.1186/s12913-021-06436-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 04/21/2021] [Indexed: 02/08/2023] Open
Abstract
Background Stroke has always been a severe disease and imposed heavy financial burden on the health system. Equity in patients in regard to healthcare utilization and medical costs are recognized as a significant factor influencing medical quality and health system responsiveness. The aim of this study is to understand the equity in stroke patients concerning medical costs and healthcare utilization, as well as identify potential factors contributing to geographic variation in stroke patients’ healthcare utilization and costs. Methods Covering 31 provinces in mainland China, our main data were a 5% random sample of stroke claims from Urban Employees Basic Medical Insurance (UEBMI) and Urban Residents Basic Medical Insurance (URBMI) from 2013 to 2016. The Theil index was employed to evaluate the equity in stroke patients in regard to healthcare utilization and medical costs, and the random-effect panel model was used to explore the impact of province-level factors (health resource factors, enabling factors, and economic factors) on medical costs and health care utilization. Results Stroke patients’ healthcare utilization and medical costs showed significant differences both within and between regions. The UEBMI scheme had an overall lower Theil index value than the URBMI scheme. The intra-region Theil index value was higher than the inter-region Theil index, with the Theil index highest within eastern China, China’s richest and most developed region. Health resource factors and enabling factors (represented by reimbursement rate and education attainment years) were identified significantly associated with medical costs (P < 0.05), but have no impact on average length of stay. Conclusions China’s fragmented urban health insurance schemes require further reform to ensure better equity in healthcare utilization and medical costs for stroke patients. Improving education attainment, offering equal access to healthcare, allocating health resources reasonably and balancing health services prices in different regions also count.
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Affiliation(s)
- Yong Yang
- School of Management, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People's Republic of China.,Medical Device Regulatory Research and Evaluation Center, West China Hospital, Sichuan University, Chengdu, China
| | - Stephen Nicholas
- Australian National Institute of Management and Commerce, 1 Central Avenue Australian Technology Park, Eveleigh Sydney, NSW, 2015, Australia.,School of Economics and School of Management, Tianjin Normal University, Tianjin, China.,Guangdong Institute for International Strategies, Guangdong University of Foreign Studies, Guangzhou, China.,Newcastle Business School, University of Newcastle, Newcastle, Australia
| | - Elizabeth Maitland
- University of Liverpool Management School, University of Liverpool, Liverpool, L697ZH, UK
| | - Zhengwei Huang
- School of Management, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People's Republic of China
| | - Xiaoping Chen
- School of Management, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People's Republic of China
| | - Yong Ma
- China Health Insurance Research Association, Beijing, China
| | - Xuefeng Shi
- School of Management, Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, People's Republic of China. .,National Institute of Traditional Chinese Medicine Strategy and Development, Beijing University of Chinese Medicine, Beijing, China.
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Liu H, Luo D, Qiu Y, Huang Y, Chen C, Song X, Gao L, Zhou Y. The Effect of AMBP SNPs, Their Haplotypes, and Gene-Environment Interactions on the Risk of Atherothrombotic Stroke Among the Chinese Population. Genet Test Mol Biomarkers 2019; 23:487-494. [PMID: 31233368 DOI: 10.1089/gtmb.2018.0248] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Background/Objectives: Ischemic stroke (IS) is a severe and complex disorder with high morbidity and mortality rates and it has been associated with both environmental and genetic predisposing factors. The purpose of this study was to evaluate the association of the alpha-1-microglobulin/bikunin precursor (AMBP) gene polymorphisms with IS and any possible interactions between specific AMBP alleles and traditional risk factors among a Han Chinese cohort. Materials and Methods: We conducted a candidate gene study designed to characterize nine (9) single nucleotide polymorphisms (SNPs) of the AMBP gene among 195 patients with atherothrombotic stroke (ATS) (a major subtype of IS) and 184 nonstroke controls. Allelic and genotypic frequency differences were evaluated using a logistic regression model. False discovery rate (FDR) correction for multiple comparisons was used. The interactional analyses were performed using the multifactor dimensionality reduction test. Results: We found an association between the rs2567698 CC genotype (odds ratio [OR], 95% confidence interval [CI]: 2.176, 1.159-4.086) and the T allele (OR, 95% CI: 0.654, 0.446-0.960) with risk of ATS in men. However, these associations did not survive FDR correction. In haplotype analyses, the GCCCCCCCC haplotype had a higher frequency (OR, 95% CI: 2.191, 1.048-4.580) in ATS in the ≥45 years of age subgroup, whereas the GCCTCCCCC haplotype decreased the risk for ATS (OR, 95% CI: 0.543, 0.345-0.853) in men. In addition, we also found interactions for ATS risk between SNPs in the AMBP gene and modifiable risk factors for ATS, including: rs11788411 and hypertension in the overall population and women; rs2251680 and hypertension in subjects aged 45 years and older, as well as the interaction among hypertension and the rs2567698 and rs10817564 genotypes in men. Conclusion: Our results show a possible association between AMBP SNP haplotypes and gene-environment interactions with ATS susceptibility in a Han Chinese cohort.
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Affiliation(s)
- Hua Liu
- 1 Department of Neurology, the Third People's Hospital of Chengdu, the Affiliated Hospital of Southwest Jiaotong University, Chengdu, P.R. China.,2 Department of Neurology, Nanchong Central Hospital, Southwest Medical University, Nanchong, P.R. China.,3 Department of Neurology, Yanting County People's Hospital, Yanting, P.R. China
| | - Danyang Luo
- 1 Department of Neurology, the Third People's Hospital of Chengdu, the Affiliated Hospital of Southwest Jiaotong University, Chengdu, P.R. China.,2 Department of Neurology, Nanchong Central Hospital, Southwest Medical University, Nanchong, P.R. China
| | - Ya Qiu
- 4 Institute of Rheumatology and Immunology, Affiliated Hospital of North Sichuan Medical College, Nanchong, P.R. China
| | - Yan Huang
- 3 Department of Neurology, Yanting County People's Hospital, Yanting, P.R. China
| | - Cheng Chen
- 5 Department of Neurology, Chengdu Hospital of the Chinese People's Armed Police Forces, Chengdu, P.R. China
| | - Xiaoxiao Song
- 6 Department of Epidemiology and Statistics, School of Public Health, Kunming Medical University, Kunming, P.R. China
| | - Li Gao
- 1 Department of Neurology, the Third People's Hospital of Chengdu, the Affiliated Hospital of Southwest Jiaotong University, Chengdu, P.R. China
| | - Yongmei Zhou
- 1 Department of Neurology, the Third People's Hospital of Chengdu, the Affiliated Hospital of Southwest Jiaotong University, Chengdu, P.R. China
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Xiong L, Liu W, Gao L, Mu Q, Liu X, Feng Y, Tang Z, Tang H, Liu H. The ANRIL Genetic Variants and Their Interactions with Environmental Risk Factors on Atherothrombotic Stroke in a Han Chinese Population. J Stroke Cerebrovasc Dis 2018; 27:2336-2347. [PMID: 29773352 DOI: 10.1016/j.jstrokecerebrovasdis.2018.04.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 04/01/2018] [Accepted: 04/15/2018] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Ischemic stroke (IS) is considered to be a heterogeneous, multifactorial disease with a strong genetic background. This study aims to determine whether variants in the antisense noncoding RNA in the INK4 locus (ANRIL) gene are associated with IS in Han Chinese, as well as whether there is evidence of a gene-environment interactions. MATERIALS AND METHODS A case-controlled association study was conducted in which only patients with atherothrombotic stroke (ATS) were enrolled. Multifactor dimensionality reduction model was employed to screen the best interaction combinations among gene and environmental risk factors; RESULTS: A total of 405 subjects (200 cases and 205 controls) and 16 single nucleotide polymorphisms (SNPs) in ANRIL gene were included in this study. The 4 SNPs (rs1537378, rs2184061, rs7044859, and rs7865618) were found to be significantly related to ATS in Chinese Han nationality. In overall people or subjects aged 45 years or older, the GG genotype and G allele of rs1537378, the AA genotype and A allele of rs2184061 and rs7865618, and the AA genotype of rs7044859 increased the risk of ATS. In males, the GG genotype and G allele of rs1537378, the AA genotype and A allele of rs7865618, and the A allele of rs2184061 conferred a susceptibility to ATS. Additionally, the AAAGAGCAAAAAATAG haplotype exhibited an elevated risk of ATS, and a significant interaction was found in ATS susceptibility between ANRIL gene and dyslipidemia; CONCLUSIONS: The ANRIL gene was related to ATS susceptibility in a Han Chinese. Future studies should be performed with larger samples and among different ethnic populations.
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Affiliation(s)
- Li Xiong
- Department of Neurology, Nanchong Central Hospital & the Second Clinical Medical College, North Sichuan Medical College, Nanchong, China
| | - Wei Liu
- Department of Neurology, Nanbu County People's Hospital, Nanbu, China
| | - Li Gao
- Department of Neurology, The Third People's Hospital of Chengdu & the Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Qiwen Mu
- Department of Neurology, Nanchong Central Hospital & the Second Clinical Medical College, North Sichuan Medical College, Nanchong, China
| | - Xindong Liu
- Department of Neurology, Nuclear Industry 416 Hospital & the Second Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Yuhuan Feng
- Department of Neurology, Yanting County People's Hospital, Yanting, China
| | - Zhi Tang
- Department of Neurology, Yanting County People's Hospital, Yanting, China
| | - Huanyu Tang
- Department of Neurology, Yanting County People's Hospital, Yanting, China
| | - Hua Liu
- Department of Neurology, Nanchong Central Hospital & the Second Clinical Medical College, North Sichuan Medical College, Nanchong, China; Department of Neurology, The Third People's Hospital of Chengdu & the Affiliated Hospital of Southwest Jiaotong University, Chengdu, China; Department of Neurology, Yanting County People's Hospital, Yanting, China.
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Liu X, Kong D, Lian H, Zhao X, Zhao Y, Xu Q, Peng B, Wang H, Fang Q, Zhang S, Jin X, Cheng K, Fan Z. Distribution and predictors of hospital charges for haemorrhagic stroke patients in Beijing, China, March 2012 to February 2015: a retrospective study. BMJ Open 2018; 8:e017693. [PMID: 29602836 PMCID: PMC5884365 DOI: 10.1136/bmjopen-2017-017693] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVES The purpose of this study is to analyse hospital charges for patients with haemorrhagic stroke in China and investigate potential factors associated with inpatient charges. METHODS The study participants were in-hospital patients with a primary diagnosis of haemorrhagic stroke from all the secondary and tertiary hospitals in Beijing during the period from 1 March 2012 to 28 February 2015. Distribution characteristics of detailed hospital charges were analysed. The influence of potential factors on hospital charges was researched using a stepwise multiple regression model. RESULTS A total of 34 890 patients with haemorrhagic stroke of mean age 61.19±14.37 years were included in the study, of which 37.2% were female. Median length of hospital stay (LOHS) was 15 days (IQR 9-23) and median hospital cost was 18 577 Chinese yuan (CNY) (IQR 10 442-39 784). The hospital costs for patients in Western medicine hospitals (median 19 651 CNY) were significantly higher (P<0.01) than those in traditional Chinese medicine hospitals (median 14 560 CNY), and were significantly higher (P<0.01) for Level 3 hospitals (median 20 029 CNY) than for Level 2 hospitals (median 16 095 CNY). The proportion of medicine fees and bed fees within total hospital charges showed a decreasing trend during the study period. With stepwise multiple regression, the major factors associated with hospital charges were LOHS, surgery, pulmonary infection, ventilator usage, hospital level, occupation, hyperlipidaemia, hospital type, in-hospital death, sex and age. CONCLUSION We conclude that medicines form the largest part of hospital charges but are showing a decreasing trend, and LOHS is strongly associated with patient charges for haemorrhagic stroke in China. This implies that the cost structure is very unreasonable in China and medical technology costs fail to be fully manifested. A reasonable decrease in medicine charges and shortening LOHS may be effective ways to reduce hospital charges.
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Affiliation(s)
- Xiaole Liu
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Dehui Kong
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Hui Lian
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoyi Zhao
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yakun Zhao
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Basic Medicine Sciences Chinese Academy of Medical Sciences, Basic Medicine Peking Union Medical College, Beijing, China
| | - Bin Peng
- Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Haitao Wang
- Hospital Administration, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Quan Fang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuyang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaofeng Jin
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Kang’an Cheng
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhongjie Fan
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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Kong D, Liu X, Lian H, Zhao X, Zhao Y, Xu Q, Peng B, Wang H, Fang Q, Zhang S, Cheng K, Jin X, Fan Z. Analysis of Hospital Charges of Inpatients with Acute Ischemic Stroke in Beijing, China, 2012-2015. Neuroepidemiology 2018; 50:63-73. [PMID: 29421788 DOI: 10.1159/000484212] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Accepted: 10/12/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The study aimed to analyze the hospital charges of the inpatients with acute ischemic stroke in Beijing and determine the factors associated with hospital costs. METHODS Medical records of hospitalized patients with a primary diagnosis of ischemic stroke according to International Classification of Diseases 10th Revision codes were collected from 121 hospitals in Beijing from March 1, 2012, to February 28, 2015. Distribution characteristics of hospital charges for different hospital levels (level 2 hospitals and level 3 hospitals) and types (Western medicine hospitals and Chinese medicine hospitals) were studied. Linear regression analysis was used to examine the association among hospital costs and factors that influenced total hospital charges. RESULTS There were 158,781 admissions for ischemic stroke, 63.1% of the patients were male and their mean age was 67.7 ± 12.4 years, the median length of hospital stay (LOHS) was 13.5 days (interquartile range 9.9-18.1 days). The median hospital charge was 2,112 (1,436-3,147) US dollars. Of these, 46.7% were for medicine, 21.1% for laboratory and examination, and 16.3% for therapy. LOHS, hospital level, and pulmonary infection were key determinants of the hospital charges. CONCLUSIONS The proportion of medicine fees for the ischemic stroke inpatients showed a downward trend during the period from 2012 to 2015, but medicine fees still accounted for the largest percentage of hospital charges in China. LOHS emerged to be the main determinant of the cost. Decreasing medicine fees and LOHS might be strategies to decrease hospital charges and reduce economic burden of stroke in China.
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Affiliation(s)
- Dehui Kong
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaole Liu
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Hui Lian
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaoyi Zhao
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yakun Zhao
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences Chinese Academy of Medical Sciences and School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Bin Peng
- Department of neurology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Haitao Wang
- Hospital administration, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Quan Fang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuyang Zhang
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Kangan Cheng
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaofeng Jin
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhongjie Fan
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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