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Zheng Z, Liu C, Mou S, Li J, He Q, Liu W, Zhang B, Zhao Z, Sun W, Zhang Q, Wang R, Zhang Y, Zhang D, Ge P. Taurine levels and long-term adverse cerebrovascular risk in moyamoya disease: A prognostic perspective study. Clin Nutr 2025; 47:83-93. [PMID: 39987782 DOI: 10.1016/j.clnu.2025.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 12/29/2024] [Accepted: 02/07/2025] [Indexed: 02/25/2025]
Abstract
BACKGROUND Taurine has been proven to play a significant role in cardiovascular and cerebrovascular diseases, but its relationship with moyamoya disease (MMD) remains unclear. This study aims to investigate the association between serum taurine levels and long-term adverse cerebrovascular events in patients with MMD after revascularization. METHODS This study involved 352 patients with MMD, from whom comprehensive clinical data and blood samples were collected. Serum taurine levels were measured using liquid chromatography-tandem mass spectrometry, and the relationship between serum taurine concentration and various blood indices was evaluated. Cerebrovascular adverse events included transient ischemic attack, ischemic stroke, and hemorrhagic stroke. Taurine, analyzed as a continuous variable, was found to predict a cut-off for postoperative cerebrovascular adverse events in MMD patients at 842.52 μmol/L. The impact of serum taurine levels on the risk of cerebrovascular events was analyzed using Kaplan-Meier (KM) curves, and univariate and multivariate Cox regression analyses were performed to identify predictive factors for postoperative prognosis. RESULTS Grouping MMD patients by serum taurine levels revealed that higher taurine levels were significantly associated with a lower proportion of hemorrhagic MMD (p = 0.044). Compared with ischemic MMD, patients with hemorrhagic MMD had lower taurine concentrations (p = 0.005). KM curves showed that the incidence of postoperative cerebrovascular adverse events in the high taurine group was significantly lower than in the low taurine group (p = 0.026). Univariate Cox regression analysis indicated that higher taurine concentrations significantly reduced the risk of postoperative cerebrovascular adverse events (Hazard Ratio [HR] = 0.334, 95 % Confidence Interval [CI] = 0.121-0.923, p = 0.035). Furthermore, the multivariate Cox regression model confirmed that taurine level is an independent predictor of long-term adverse cerebrovascular events, with the high concentration group showing a significantly reduced risk. CONCLUSIONS Low serum taurine levels are associated with a higher risk of long-term adverse cerebrovascular events following MMD revascularization. This suggests the significant potential of serum taurine as a prognostic biomarker for postoperative outcomes. CLINICAL TRIAL REGISTRY NUMBER URL: https://www.chictr.org.cn/. Unique identifier: ChiCTR2200061889.
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Affiliation(s)
- Zhiyao Zheng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Research Unit of Accurate Diagnosis, Treatment, and Translational Medicine of Brain Tumors (No.2019RU011), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China; Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Siqi Mou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Medical School, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Wei Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Bojian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Zhikang Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Wei Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
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Pal R, Le J, Rudas A, Chiang JN, Williams T, Alexander B, Joosten A, Cannesson M. A review of machine learning methods for non-invasive blood pressure estimation. J Clin Monit Comput 2025; 39:95-106. [PMID: 39305449 DOI: 10.1007/s10877-024-01221-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 09/09/2024] [Indexed: 02/13/2025]
Abstract
Blood pressure is a very important clinical measurement, offering valuable insights into the hemodynamic status of patients. Regular monitoring is crucial for early detection, prevention, and treatment of conditions like hypotension and hypertension, both of which increasing morbidity for a wide variety of reasons. This monitoring can be done either invasively or non-invasively and intermittently vs. continuously. An invasive method is considered the gold standard and provides continuous measurement, but it carries higher risks of complications such as infection, bleeding, and thrombosis. Non-invasive techniques, in contrast, reduce these risks and can provide intermittent or continuous blood pressure readings. This review explores modern machine learning-based non-invasive methods for blood pressure estimation, discussing their advantages, limitations, and clinical relevance.
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Affiliation(s)
- Ravi Pal
- Department of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA, 90095, USA.
| | - Joshua Le
- Larner College of Medicine, University of Vermont, Burlington, USA
| | - Akos Rudas
- Department of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Jeffrey N Chiang
- Department of Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Tiffany Williams
- Department of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Brenton Alexander
- Department of Anesthesiology & Perioperative Medicine, University of California San Diego, San Diego, CA, USA
| | - Alexandre Joosten
- Department of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA, 90095, USA
| | - Maxime Cannesson
- Department of Anesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Ronald Reagan UCLA Medical Center, 757 Westwood Plaza, Los Angeles, CA, 90095, USA
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Shimizu T, Kanazawa T, Yoshida T, Sakura T, Shimizu K, Iwasaki T, Morimatsu H. A Retrospective Comparative Study of the Frequency of Hypotension in Pediatric Cardiac Catheterization under General Anesthesia: Remimazolam versus Sevoflurane. J Cardiothorac Vasc Anesth 2024; 38:3118-3126. [PMID: 39332984 DOI: 10.1053/j.jvca.2024.08.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/22/2024] [Accepted: 08/28/2024] [Indexed: 09/29/2024]
Abstract
OBJECTIVE To compare the incidence of hypotension between remimazolam and sevoflurane under general anesthesia for cardiac catheterization in patients with congenital heart disease. DESIGN Retrospective observational study. SETTING A single university hospital with 300 pediatric cardiac catheterizations by general anesthesia performed annually. PARTICIPANTS Patients younger than 15 years who underwent cardiac catheterization under general anesthesia between March 1, 2021, and December 31, 2022. Exclusion criteria were general anesthesia maintained with other than remimazolam or sevoflurane, receipt of remifentanil, American Society of Anesthesiologists score 4 or 5, emergency procedures, and no direct arterial pressure measurement. INTERVENTIONS General anesthesia was maintained with remimazolam or sevoflurane. MEASUREMENTS AND MAIN RESULTS A total of 309 patients were analyzed, including 28 in the remimazolam group and 281 in the sevoflurane group. Propensity score matching adjusted for confounding factors resulted in 28 patients in each arm, with no apparent differences in background factors. Hypotension was defined as a time-averaged area > 1, in which systolic arterial pressure fell below 80% of the baseline from the start of anesthesia to the end of procedure. The significance level was set at P < .05. The incidence of hypotension was 39.3% in the remimazolam arm and 46.4% in the sevoflurane arm, with no significant difference (P = .79), although the ratio of the median systolic arterial pressure to the baseline value was significantly higher in the remimazolam arm (91.4 ± 15.2% vs 83.2 ± 11.4% in the sevoflurane arm; P = .03). CONCLUSIONS Remimazolam was not associated with a lower incidence of hypotension compared to sevoflurane during pediatric cardiac catheterization for congenital heart disease while maintaining significantly higher blood pressure overall.
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Affiliation(s)
- Tatsuhiko Shimizu
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tomoyuki Kanazawa
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
| | - Tsubasa Yoshida
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Takanobu Sakura
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Kazuyoshi Shimizu
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Tatsuo Iwasaki
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Hiroshi Morimatsu
- Department of Anesthesiology and Resuscitology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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Zhang Y, Xie W, Dai Y, Wu Z, Lin Y, Yang M, Hong H. Influencing and prognostic factors of end-stage hypertrophic cardiomyopathy. ESC Heart Fail 2024; 11:4028-4037. [PMID: 39092527 PMCID: PMC11631330 DOI: 10.1002/ehf2.15010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 06/22/2024] [Accepted: 07/15/2024] [Indexed: 08/04/2024] Open
Abstract
AIMS End-stage hypertrophic cardiomyopathy (ES-HCM) is a disease with severe complications and a poor prognosis. This study aimed to explore the influencing and prognostic factors of ES-HCM. METHODS AND RESULTS A total of 1282 patients with HCM who were hospitalized for the first time at Fujian Medical University Union Hospital between 1 January 2013 and 30 September 2021 were recorded. The patients with HCM and left ventricular ejection fraction (LVEF) < 50% were defined as having ES-HCM, and a control group (LVEF ≥ 50%) was generated from the collected medical records of HCM. The patients were matched in a ratio of 4:1 based on age and sex. Logistic regression analysis was used to determine the influencing factors of ES-HCM. Kaplan-Meier survival analysis was performed to analyse the clinical outcomes of ES-HCM patients. A total of 250 inpatients with HCM were enrolled in the study; 50 patients had ES-HCM, and 200 had HCM with LVEF ≥ 50%. The mean age of the patients at enrolment was 62.5 ± 10.3 years, and 215 patients (215/250, 86.0%) were male. The median follow-up time of the patients was 2.8 (1.4-5.4) years. The incidence of all-cause death and cardiovascular death in patients with ES-HCM was higher than those in patients with HCM and LVEF ≥ 50% (22/50 [44.0%] vs. 13/200 [6.5%]; 12/50 [24.0%] vs. 4/200 [2.0%], all P < 0.001). Multivariate logistic regression analysis showed that the influencing factors associated with ES-HCM included age at first symptom onset (odds ratio [OR] = 0.95, 95% CI [0.90, 1.00], P = 0.042), New York Heart Association (NYHA) class (OR = 7.73, 95% CI [2.93, 20.41], P < 0.001), heart rate (OR = 1.07, 95% CI [1.02, 1.12], P = 0.003), QRS duration (OR = 1.03, 95% CI [1.00, 1.05], P = 0.020), left ventricular end-diastolic diameter (LVEDD) (OR = 1.15, 95% CI [1.04, 1.28], P = 0.006), left atrial anteroposterior diameter (LAD) (OR = 1.13, 95% CI [1.03, 1.24], P = 0.012), and maximum left ventricular wall thickness (MLVWT) (OR = 0.80, 95% CI [0.68, 0.93], P = 0.005). Among the 50 patients with ES-HCM, NYHA class (P < 0.001) and heart rate (P = 0.017) were each associated with a higher likelihood and earlier occurrence of heart transplantation or all-cause mortality in univariate analyses. CONCLUSIONS The influencing factors for ES-HCM included the age at first symptom onset, NYHA class, heart rate, QRS duration, LVEDD, LAD, and MLVWT. Both NYHA class and heart rate were related to the prognosis of ES-HCM.
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Affiliation(s)
- Yisen Zhang
- Department of Cardiac Surgery, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease CenterFujian Medical University Union HospitalFuzhouChina
| | - Wenhui Xie
- Department of Geriatrics, Department of Cardiology, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease Center, Fujian Clinical Research Center for Senile Vascular Aging and Brain AgingFujian Medical University Union HospitalFuzhouChina
| | - Yaqing Dai
- Department of Geriatrics, Department of Cardiology, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease Center, Fujian Clinical Research Center for Senile Vascular Aging and Brain AgingFujian Medical University Union HospitalFuzhouChina
| | - Zefeng Wu
- Department of Geriatrics, Department of Cardiology, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease Center, Fujian Clinical Research Center for Senile Vascular Aging and Brain AgingFujian Medical University Union HospitalFuzhouChina
| | - Yuping Lin
- Department of Geriatrics, Department of Cardiology, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease Center, Fujian Clinical Research Center for Senile Vascular Aging and Brain AgingFujian Medical University Union HospitalFuzhouChina
| | - Ming Yang
- Department of Geriatrics, Department of Cardiology, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease Center, Fujian Clinical Research Center for Senile Vascular Aging and Brain AgingFujian Medical University Union HospitalFuzhouChina
| | - Huashan Hong
- Department of Geriatrics, Department of Cardiology, Fujian Key Laboratory of Vascular Aging (Fujian Medical University), Fujian Institute of Geriatrics, Fujian Heart Disease Center, Fujian Clinical Research Center for Senile Vascular Aging and Brain AgingFujian Medical University Union HospitalFuzhouChina
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Lele AV, Moreton EO, Sundararajan J, Blacker SN. Perioperative care of patients with recent stroke undergoing nonemergent, nonneurological, noncardiac, nonvascular surgery: a systematic review and meta-analysis. Curr Opin Anaesthesiol 2024; 37:460-469. [PMID: 39011660 DOI: 10.1097/aco.0000000000001403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
PURPOSE OF REVIEW To systematically review and perform a meta-analysis of published literature regarding postoperative stroke and mortality in patients with a history of stroke and to provide a framework for preoperative, intraoperative, and postoperative care in an elective setting. RECENT FINDINGS Patients with nonneurological, noncardiac, and nonvascular surgery within three months after stroke have a 153-fold risk, those within 6 months have a 50-fold risk, and those within 12 months have a 20-fold risk of postoperative stroke. There is a 12-fold risk of in-hospital mortality within three months and a three-to-four-fold risk of mortality for more than 12 months after stroke. The risk of stroke and mortality continues to persist years after stroke. Recurrent stroke is common in patients in whom anticoagulation/antiplatelet therapy is discontinued. Stroke and time elapsed after stroke should be included in the preoperative assessment questionnaire, and a stroke-specific risk assessment should be performed before surgical planning is pursued. SUMMARY In patients with a history of a recent stroke, anesthesiology, surgery, and neurology experts should create a shared mental model in which the patient/surrogate decision-maker is informed about the risks and benefits of the proposed surgical procedure; secondary-stroke-prevention medications are reviewed; plans are made for interruptions and resumption; and intraoperative care is individualized to reduce the likelihood of postoperative stroke or death.
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Affiliation(s)
- Abhijit V Lele
- Department of Anesthesiology and Pain Medicine, University of Washington, Harborview Medical Center, Seattle, Washington
| | | | | | - Samuel Neal Blacker
- Department of Anesthesiology, University of North Carolina, Chapel Hill, North Carolina, USA
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Mitarnun W. DAANISH: A mnemonic to aid in memorizing and recalling important strategies contributing to the prevention of perioperative stroke. Qatar Med J 2024; 2024:48. [PMID: 39319019 PMCID: PMC11420554 DOI: 10.5339/qmj.2024.48] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 07/22/2024] [Indexed: 09/26/2024] Open
Abstract
Background Perioperative stroke, defined as a stroke occurring within 30 days post-surgery, typically emerges within the first week. The incidence of perioperative stroke among adults undergoing non-cardiac and non-neurological surgeries ranges from 0.1% to 1% after a surgical intervention. Mortality rates following perioperative stroke surge, reaching up to eight times higher than controls, with approximately one in four cases resulting in death. Fortunately, various strategies are available to potentially prevent perioperative strokes. However, the vast amount of data poses challenges for physicians in memorization and recall for clinical use. This study aims to summarize essential perioperative stroke prevention strategies and determine an effective mnemonic for their memorization and recall. Method The initial search in PubMed focused solely on review articles published within the last 10 years. It utilized the keywords "perioperative stroke" and "prevention." Results An initial search found 39 articles, with two suitable for review. Using data from selected review articles, further searches were conducted on Google Scholar and PubMed for articles from 2000 to 2024, identifying 30 additional suitable references. From these 32 articles, the author developed a mnemonic, "DAANISH," to aid in remembering strategies for preventing perioperative stroke. Conclusion Implementing this mnemonic may help reduce the risk of perioperative stroke and improve patient outcomes. Future research is needed to confirm its effectiveness.
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Affiliation(s)
- Witoon Mitarnun
- Neurology Unit, Department of Internal Medicine, Buriram Hospital, Buriram, Thailand *
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Chen Z, Wu R, Wei D, Wu X, Ma C, Shi J, Geng J, Zhao M, Guo Y, Xu H, Zhou Y, Zeng X, Huo W, Wang C, Mao Z. New findings on the risk of hypertension from organophosphorus exposure under different glycemic statuses: The key role of lipids? THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172711. [PMID: 38688361 DOI: 10.1016/j.scitotenv.2024.172711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND AND OBJECTIVE Considering the widespread use of organophosphorus pesticides (OPs) and the global prevalence of hypertension (HTN), as well as studies indicating that different glycemic statuses may respond differently to the biological effects of OPs. Therefore, this study, based on the Henan rural cohort, aims to investigate the association between OPs exposure and HTN, and further explores whether lipids mediate these associations. METHODS We measured the plasma levels of OPs in 2730 participants under different glycemic statuses using gas chromatography-triple quadrupole mass spectrometry (GC-MS/MS). A generalized linear model, Quantile g-computation (QGC), adaptive elastic net (AENET), and Bayesian kernel machine regression (BKMR) models were used to assess the impact of OPs exposure on HTN, with least absolute shrinkage and selection operator (LASSO) penalty regression identifying main OPs. Mediation models were used to evaluate the intermediary role of blood lipids in the OPs-HTN relationship. RESULTS The detection rates for all OPs were high, ranging from 76.35 % to 99.17 %. In the normal glucose tolerance (NGT) population, single exposure models indicated that malathion and phenthoate were associated with an increased incidence of HTN (P-FDR < 0.05), with corresponding odds ratios (ORs) and 95 % confidence intervals (CIs) of 1.624 (1.167,2.260) and 1.290 (1.072,1.553), respectively. QGC demonstrated a positive association between OP mixtures and HTN, with malathion and phenthoate being the primary contributors. Additionally, the AENET model's Exposure Response Score (ERS) suggested that the risk of HTN increases with higher ERS (P < 0.001). Furthermore, BKMR revealed that co-exposure to OPs increases HTN risk, with phenthoate having a significant impact. Furthermore, triglycerides (TG) mediated 6.55 % of the association between phenthoate and HTN. However, no association was observed in the impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM) populations. CONCLUSIONS Our findings suggest that in the NGT population, OPs may significantly contribute to the development of HTN, proposing TG as a potential novel target for HTN prevention.
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Affiliation(s)
- Zhiwei Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Ruihong Wu
- School of Computer Science and Technology, East China Normal University; Information Department, First Affiliated Hospital of Henan University of Chinese Medicine, PR China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Cuicui Ma
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jiayu Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jintian Geng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Mengzhen Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yao Guo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Haoran Xu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yilin Zhou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xin Zeng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Wenqian Huo
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Falck-Jones R, Bell M, Hallqvist L. Incidence and risk factors of peri-operative stroke in major non-cardiovascular, non-neurologic surgery-A retrospective register-based cohort study. Acta Anaesthesiol Scand 2024; 68:485-492. [PMID: 38212290 DOI: 10.1111/aas.14373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/24/2023] [Accepted: 12/29/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND Peri-operative stroke is a rare but serious surgical complication. Both overt and covert stroke, occurring in approximately 0.1% and 7% of cases, respectively, are associated with significant long-term effects and increased morbidity. METHODS Retrospective register data for patients >18 years old, presenting for major non-cardiovascular, non-neurosurgical and non-ambulatory surgical procedures at 23 hospitals in Sweden between 2007 and 2014 was collected and linked with various quality registers. The primary outcome was stroke within 30 days from surgery. Using multivariable logistic regression, significant independent risk factors influencing the primary outcome were identified and their adjusted odds ratios (ORs) were calculated. Mortality was assessed, along with the composite score of days alive and at home within 30 days after surgery (DAH 30). RESULTS In total, 318,017 patients were included, with 687 (0.22%) suffering a stroke within 30 days of surgery. The strongest significant risk factors included: increasing ASA-class (OR [95% confidence interval, CI]: 2.23 [1.53-3.36], 3.91 [2.68-5.93] and 7.82 [5.03-12.5] for ASA 2, 3 and 4, respectively) and age (OR [95% CI]: 4.47 [2.21-10.3], 9.9 [5.15-22.1], 16.3 [8.48-36.5] and 21 [10.6-48.1], for age 45-59, 60-74, 75-89 and >90, respectively), along with non-elective procedures, male gender and a history of cerebrovascular disease (OR [95%]: 2.72 [2.25-3.27]). Mortality was increased and DAH 30 was reduced in patients suffering a stroke. CONCLUSIONS Increasing ASA-class and age was clearly associated with an increased risk of peri-operative stroke, which in turn was associated with increased mortality and poorer outcome. Detailed pre-operative risk stratification and individualised peri-operative management could potentially improve patient-centred outcomes and, in turn, have positive implications for public health.
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Affiliation(s)
- Ryan Falck-Jones
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative and Intensive Care Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Max Bell
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative and Intensive Care Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Linn Hallqvist
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
- Department of Perioperative and Intensive Care Medicine, Karolinska University Hospital, Stockholm, Sweden
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Fanning JP, Campbell BCV, Bulbulia R, Gottesman RF, Ko SB, Floyd TF, Messé SR. Perioperative stroke. Nat Rev Dis Primers 2024; 10:3. [PMID: 38238382 DOI: 10.1038/s41572-023-00487-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/01/2023] [Indexed: 01/23/2024]
Abstract
Ischaemic or haemorrhagic perioperative stroke (that is, stroke occurring during or within 30 days following surgery) can be a devastating complication following surgery. Incidence is reported in the 0.1-0.7% range in adults undergoing non-cardiac and non-neurological surgery, in the 1-5% range in patients undergoing cardiac surgery and in the 1-10% range following neurological surgery. However, higher rates have been reported when patients are actively assessed and in high-risk populations. Prognosis is significantly worse than stroke occurring in the community, with double the 30-day mortality, greater disability and diminished quality of life among survivors. Considering the annual volume of surgeries performed worldwide, perioperative stroke represents a substantial burden. Despite notable differences in aetiology, patient populations and clinical settings, existing clinical recommendations for perioperative stroke are extrapolated mainly from stroke in the community. Perioperative in-hospital stroke is unique with respect to the stroke occurring in other settings, and it is essential to apply evidence from other settings with caution and to identify existing knowledge gaps in order to effectively guide patient care and future research.
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Affiliation(s)
- Jonathon P Fanning
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
- Anaesthesia & Perfusion Services, The Prince Charles Hospital, Brisbane, Queensland, Australia.
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
- The George Institute for Global Health, Sydney, New South Wales, Australia.
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Bruce C V Campbell
- Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Richard Bulbulia
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Vascular Surgery, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK
| | | | - Sang-Bae Ko
- Department of Neurology and Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Korea
| | - Thomas F Floyd
- Department of Anaesthesiology & Pain Management, Department of Cardiovascular and Thoracic Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Steven R Messé
- Department of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
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Marcucci M, Chan MTV, Smith EE, Absalom AR, Devereaux PJ. Prevention of perioperative stroke in patients undergoing non-cardiac surgery. Lancet Neurol 2023; 22:946-958. [PMID: 37739575 DOI: 10.1016/s1474-4422(23)00209-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/17/2023] [Accepted: 05/26/2023] [Indexed: 09/24/2023]
Abstract
About 300 million adults undergo non-cardiac surgery annually. Although, in this setting, the incidence of perioperative stroke is low, the absolute number of patients experiencing a stroke is substantial. Furthermore, most patients with this complication will die or end up with severe disability. Covert brain infarctions are more frequent than overt strokes and are associated with postoperative delirium, cognitive decline, and cerebrovascular events at 1 year after surgery. Evidence shows that traditional stroke risk factors including older age, hypertension, and atrial fibrillation are also associated with perioperative stroke; previous stroke is the strongest risk factor for perioperative stroke. Increasing evidence also suggests the pathogenic role of perioperative events, such as hypotension, new atrial fibrillation, paradoxical embolism, and bleeding. Clinicians involved in perioperative care should be aware of this evidence on prevention strategies to improve patient outcomes after non-cardiac surgery.
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Affiliation(s)
- Maura Marcucci
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; Department of Medicine, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamilton, ON, Canada
| | - Matthew T V Chan
- The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Anthony R Absalom
- Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - P J Devereaux
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; Department of Medicine, McMaster University, Hamilton, ON, Canada; Population Health Research Institute, Hamilton, ON, Canada.
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11
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Vlisides PE, Mentz G, Kheterpal S, Mashour GA. Carbon Dioxide, Blood Pressure, and Stroke: Reply. Anesthesiology 2023; 139:229-232. [PMID: 37010993 DOI: 10.1097/aln.0000000000004545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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12
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Sessler DI. Carbon Dioxide, Blood Pressure, and Stroke: Comment. Anesthesiology 2023; 139:228-229. [PMID: 37011017 DOI: 10.1097/aln.0000000000004544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
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13
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Vlisides PE, Mentz G, Leis AM, Colquhoun D, McBride J, Naik BI, Dunn LK, Aziz MF, Vagnerova K, Christensen C, Pace NL, Horn J, Cummings K, Cywinski J, Akkermans A, Kheterpal S, Moore LE, Mashour GA. Carbon Dioxide, Blood Pressure, and Perioperative Stroke: A Retrospective Case-Control Study. Anesthesiology 2022; 137:434-445. [PMID: 35960872 PMCID: PMC10324342 DOI: 10.1097/aln.0000000000004354] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND The relationship between intraoperative physiology and postoperative stroke is incompletely understood. Preliminary data suggest that either hypo- or hypercapnia coupled with reduced cerebrovascular inflow (e.g., due to hypotension) can lead to ischemia. This study tested the hypothesis that the combination of intraoperative hypotension and either hypo- or hypercarbia is associated with postoperative ischemic stroke. METHODS We conducted a retrospective, case-control study via the Multicenter Perioperative Outcomes Group. Noncardiac, nonintracranial, and nonmajor vascular surgical cases (18 yr or older) were extracted from five major academic centers between January 2004 and December 2015. Ischemic stroke cases were identified via manual chart review and matched to controls (1:4). Time and reduction below key mean arterial blood pressure thresholds (less than 55 mmHg, less than 60 mmHg, less than 65 mmHg) and outside of specific end-tidal carbon dioxide thresholds (30 mmHg or less, 35 mmHg or less, 45 mmHg or greater) were calculated based on total area under the curve. The association between stroke and total area under the curve values was then tested while adjusting for relevant confounders. RESULTS In total, 1,244,881 cases were analyzed. Among the cases that screened positive for stroke (n = 1,702), 126 were confirmed and successfully matched with 500 corresponding controls. Total area under the curve was significantly associated with stroke for all thresholds tested, with the strongest combination observed with mean arterial pressure less than 55 mmHg (adjusted odds ratio per 10 mmHg-min, 1.17 [95% CI, 1.10 to 1.23], P < 0.0001) and end-tidal carbon dioxide 45 mmHg or greater (adjusted odds ratio per 10 mmHg-min, 1.11 [95% CI, 1.10 to 1.11], P < 0.0001). There was no interaction effect observed between blood pressure and carbon dioxide. CONCLUSIONS Intraoperative hypotension and carbon dioxide dysregulation may each independently increase postoperative stroke risk. EDITOR’S PERSPECTIVE
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Affiliation(s)
- Phillip E. Vlisides
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
- Center for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI USA 48109
| | - Graciela Mentz
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
| | - Aleda M. Leis
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI USA 48109
| | - Douglas Colquhoun
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
| | - Jonathon McBride
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
| | - Bhiken I. Naik
- Department of Anesthesiology, University of Virginia School of Medicine, Charlottesville, VA USA 22908
- Department of Neurological Surgery, University of Virginia School of Medicine, Charlottesville, VA USA 22908
| | - Lauren K. Dunn
- Department of Anesthesiology, University of Virginia School of Medicine, Charlottesville, VA USA 22908
| | - Michael F. Aziz
- Department of Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, OR USA 97239
| | - Kamila Vagnerova
- Department of Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, OR USA 97239
| | - Clint Christensen
- Department of Anesthesiology, University of Utah School of Medicine, Salt Lake City, UT USA 84132
| | - Nathan L. Pace
- Department of Anesthesiology, University of Utah School of Medicine, Salt Lake City, UT USA 84132
| | - Jeffrey Horn
- Department of Anesthesiology, University of Utah School of Medicine, Salt Lake City, UT USA 84132
| | | | - Jacek Cywinski
- Anesthesiology Institute, Cleveland Clinic, OH USA 44195
| | - Annemarie Akkermans
- Department of Anesthesiology, University Medical Center Utrecht, Netherlands
| | - Sachin Kheterpal
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
| | - Laurel E. Moore
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
| | - George A. Mashour
- Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI USA 48109
- Center for Consciousness Science, University of Michigan Medical School, Ann Arbor, MI USA 48109
- Neuroscience Graduate Program, University of Michigan Medical School, Ann Arbor, MI USA
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