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Qiao Z, Bian X, Song C, Zhang R, Yuan S, Lin Z, Zhu C, Liu Q, Ma W, Dou K. High stress hyperglycemia ratio predicts adverse clinical outcome in patients with coronary three-vessel disease: a large-scale cohort study. Cardiovasc Diabetol 2024; 23:190. [PMID: 38824608 PMCID: PMC11144339 DOI: 10.1186/s12933-024-02286-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 05/24/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND Coronary three-vessel disease (CTVD) accounts for one-third of the overall incidence of coronary artery disease, with heightened mortality rates compared to single-vessel lesions, including common trunk lesions. Dysregulated glucose metabolism exacerbates atherosclerosis and increases cardiovascular risk. The stress hyperglycemia ratio (SHR) is proposed as an indicator of glucose metabolism status but its association with cardiovascular outcomes in CTVD patients undergoing percutaneous coronary intervention (PCI) remains unclear. METHODS 10,532 CTVD patients undergoing PCI were consecutively enrolled. SHR was calculated using the formula: admission blood glucose (mmol/L)/[1.59×HbA1c (%)-2.59]. Patients were divided into two groups (SHR Low and SHR High) according to the optimal cutoff value of SHR. Multivariable Cox regression models were used to assess the relationship between SHR and long-term prognosis. The primary endpoint was cardiovascular (CV) events, composing of cardiac death and non-fatal myocardial infarction (MI). RESULTS During the median follow-up time of 3 years, a total of 279 cases (2.6%) of CV events were recorded. Multivariable Cox analyses showed that high SHR was associated with a significantly higher risk of CV events [Hazard Ratio (HR) 1.99, 95% Confidence interval (CI) 1.58-2.52, P < 0.001). This association remained consistent in patients with (HR 1.50, 95% CI 1.08-2.10, P = 0.016) and without diabetes (HR 1.97, 95% CI 1.42-2.72, P < 0.001). Additionally, adding SHR to the base model of traditional risk factors led to a significant improvement in the C-index, net reclassification and integrated discrimination. CONCLUSIONS SHR was a significant predictor for adverse CV outcomes in CTVD patients with or without diabetes, which suggested that it could aid in the risk stratification in this particular population regardless of glucose metabolism status.
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Affiliation(s)
- Zheng Qiao
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xiaohui Bian
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Chenxi Song
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Rui Zhang
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Sheng Yuan
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zhangyu Lin
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Chenggang Zhu
- State Key Laboratory of Cardiovascular Disease, Beijing, China
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Qianqian Liu
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Wenjun Ma
- Hypertension Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
| | - Kefei Dou
- State Key Laboratory of Cardiovascular Disease, Beijing, China.
- Cardiometabolic Medicine Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
- National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, China.
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Kentenich H, Müller D, Wein B, Stock S, Seleznova Y. Methods for assessing guideline adherence for invasive procedures in the care of chronic coronary artery disease: a scoping review. BMJ Open 2023; 13:e069832. [PMID: 36921955 PMCID: PMC10030787 DOI: 10.1136/bmjopen-2022-069832] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 03/01/2023] [Indexed: 03/17/2023] Open
Abstract
OBJECTIVES In the care of coronary artery disease (CAD), evidence questions the adequate application of guidelines for cardiovascular procedures, particularly coronary angiographies (CA) and myocardial revascularisation. This review aims to examine how care providers' guideline adherence for CA and myocardial revascularisation in the care of chronic CAD was assessed in the literature. DESIGN Scoping review. DATA SOURCES PubMed and EMBASE were searched through in June 2021 (rerun in September 2022). ELIGIBILITY CRITERIA We included studies assessing care providers' adherence to evidence-based guidelines for CA or myocardial revascularisation in the care of chronic CAD. Studies had to list the evaluation of guideline adherence as study objective, describe the evaluation methods used and report the underlying guidelines and recommendations. DATA EXTRACTION AND SYNTHESIS Two independent reviewers used standardised forms to extract study characteristics, methodological aspects such as data sources and variables, definitions of guideline adherence and quantification methods and the extent of guideline adherence. To elucidate the measurement of guideline adherence, the main steps were described. RESULTS Twelve studies (311 869 participants) were included, which evaluated guideline adherence by (1) defining guideline adherence, (2) specifying the study population, (3) assigning (classes of) recommendations and (4) quantifying adherence. Thereby, primarily secondary data were used. Studies differed in their definitions of guideline adherence, where six studies each considered only recommendation class I/grade A/strong recommendations as adherent or additionally recommendation classes IIa/IIb. Furthermore, some of the studies reported a priori definitions and allocation rules for the assignment of recommendation classes. Guideline adherence results ranged from 10% for percutaneous coronary intervention with prior heart team discussion to 98% for coronary artery bypass grafting. CONCLUSION Due to remarkable inconsistencies in the assessment, a cautious interpretation of the guideline adherence results is required. Future efforts should endeavour to establish a consistent understanding of the concept of guideline adherence.
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Affiliation(s)
- Hannah Kentenich
- Institute for Health Economics and Clinical Epidemiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Dirk Müller
- Institute for Health Economics and Clinical Epidemiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Bastian Wein
- Department of Cardiology and Angiology, Contilia Heart and Vascular Center, Elisabeth-Hospital Essen, Essen, Germany
- Department of Cardiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Stephanie Stock
- Institute for Health Economics and Clinical Epidemiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Yana Seleznova
- Institute for Health Economics and Clinical Epidemiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Schindel D, Mandl L, Schilling R, Meisel A, Schenk L. Guideline adherence in speech and language therapy in stroke aftercare. A health insurance claims data analysis. PLoS One 2022; 17:e0263397. [PMID: 35113968 PMCID: PMC8812973 DOI: 10.1371/journal.pone.0263397] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 01/18/2022] [Indexed: 12/24/2022] Open
Abstract
Background Impairments to comprehension and production of speech (aphasia, dysarthria) and swallowing disorders (dysphagia) are common sequelae of stroke, reducing patients’ quality of life and social participation. Treatment oriented on evidence-based guidelines seems likely to improve outcomes. Currently, little is known about guideline adherence in stroke aftercare for the above-mentioned sequelae. This study aims to analyse guideline adherence in the treatment of aphasia, dysarthria and dysphagia after stroke, based on suitable test parameters, and to determine factors that influence the implementation of recommended therapies. Methods Six test parameters were defined, based on systematic study of guidelines for the treatment of speech impairments and swallowing disorders (e.g. comprehensive diagnostics, early initiation and continuity). Guideline adherence in treatment was tested using claims data from four statutory health insurance companies. Multivariate logistic and linear regression analyses were performed in order to test the outcomes. Results 4,486 stroke patients who were diagnosed with specific disorders or received speech therapy were included in the study. The median age was 78 years; the proportion of women was 55.9%. Within the first year after the stroke, 90.3% of patients were diagnosed with speech impairments and swallowing disorders. Overall, 44.1% of patients received outpatient speech and language therapy aftercare. Women were less frequently diagnosed with specific disorders (OR 0.70 [95%CI:0.55/0.88], p = 0.003) and less frequently received longer therapy sessions (OR 0.64 [95%CI:0.43/0.94], p = 0.022). Older age and longer hospitalization duration increased the likelihood of guideline recommendations being implemented and of earlier initiation of stroke aftercare measures. Conclusions Our observations indicate deficits in the implementation of guideline recommendations in stroke aftercare. At the same time, they underscore the need for regular monitoring of implementation measures in stroke aftercare to address group-based disparities in care.
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Affiliation(s)
- Daniel Schindel
- Institute of Medical Sociology and Rehabilitation Science, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- * E-mail:
| | - Lena Mandl
- Institute of Medical Sociology and Rehabilitation Science, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Ralph Schilling
- Institute of Biometry and Clinical Epidemiology, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Meisel
- Center for Stroke Research Berlin, NeuroCure Clinical Research Center and Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Liane Schenk
- Institute of Medical Sociology and Rehabilitation Science, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Liu Y, Zhang C, Jiang L, Xu L, Tian J, Zhao X, Feng X, Wang D, Zhang Y, Sun K, Xu J, Liu R, Xu B, Zhao W, Hui R, Gao R, Gao Z, Song L, Yuan J. Relationship Between High-Sensitivity C-Reactive Protein and Long-Term Outcomes in Elderly Patients With 3-Vessel Disease. Angiology 2022; 73:60-67. [PMID: 34109809 DOI: 10.1177/00033197211021195] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The prognostic value of high-sensitivity C-reactive protein (hsCRP) in complex coronary artery disease has not been fully established. We aimed to determine the association between hsCRP and long-term outcomes in elderly patients with 3-vessel disease (TVD). From April 2004 to February 2011, 3069 patients aged ≥65 years with TVD were consecutively enrolled and received medical treatment alone, percutaneous coronary intervention, or coronary artery bypass grafting. The patients were divided into 2 groups according to their hsCRP levels: <3.00 mg/L (62.1%) and ≥3.00 mg/L (37.9%). The mean age was 71 ± 4 years. The high hsCRP group had more risk factors and more frequently received conservative treatment than the low hsCRP group. During a median follow-up period of 6.2 years, elevated hsCRP was significantly associated with increased all-cause death (19.5% vs 29.6%, P < .001), cardiac death (9.4% vs 15.2%, P = .001), and major adverse cardiovascular and cerebrovascular events (34.1% vs 42.5%, P = .001). Multivariable Cox regression analyses revealed that hsCRP was an independent predictor for all of these events. Combining hsCRP with Synergy between PCI with TAXUS and Cardiac Surgery score II further improved the predictive power of the score. The relationship between hsCRP and mortality was relatively consistent across subgroups. Overall, hsCRP could prove useful for risk prediction in elderly patients.
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Affiliation(s)
- Yue Liu
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Ce Zhang
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Lin Jiang
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Lianjun Xu
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Jian Tian
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Xueyan Zhao
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Xinxing Feng
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Dong Wang
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Yin Zhang
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Kai Sun
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Jingjing Xu
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Ru Liu
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Bo Xu
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Wei Zhao
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Rutai Hui
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Runlin Gao
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Zhan Gao
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Lei Song
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
| | - Jinqing Yuan
- 34736Fuwai Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China
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