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Li MM, Miles S, Callum J, Lin Y, Karkouti K, Bartoszko J. Postoperative anemia in cardiac surgery patients: a narrative review. Can J Anaesth 2024; 71:408-421. [PMID: 38017198 DOI: 10.1007/s12630-023-02650-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/25/2023] [Accepted: 08/08/2023] [Indexed: 11/30/2023] Open
Abstract
PURPOSE Anemia reduces the blood's ability to carry and deliver oxygen. Following cardiac surgery, anemia is very common and affects up to 90% of patients. Nevertheless, there is a paucity of data examining the prognostic value of postoperative anemia. In this narrative review, we present findings from the relevant literature on postoperative anemia in cardiac surgery patients, focusing on the incidence, risk factors, and prognostic value of postoperative anemia. We also explore the potential utility of postoperative anemia as a therapeutic target to improve clinical outcomes. SOURCE We conducted a targeted search of MEDLINE, Embase, and the Cochrane Database of Systematic Reviews up to September 2022, using a combination of search terms including postoperative (post-operative), perioperative (peri-operative), anemia (anaemia), and cardiac surgery. PRINCIPAL FINDINGS The reported incidence of postoperative anemia varied from 29% to 94% across the studies, likely because of variations in patient inclusion criteria and classification of postoperative anemia. Nonetheless, the weight of the evidence suggests that postoperative anemia is common and is an independent risk factor for adverse postoperative outcomes such as acute kidney injury, stroke, mortality, and functional outcomes. CONCLUSIONS In cardiac surgery patients, postoperative anemia is a common and prognostically important risk factor for postoperative morbidity and mortality. Nevertheless, there is a lack of data on whether active management of postoperative anemia is feasible or effective in improving patient outcomes.
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Affiliation(s)
- Michelle M Li
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Anesthesia and Pain Management, Sinai Health System, Women's College Hospital, University Health Network, Toronto, ON, Canada
| | - Sarah Miles
- Department of Anesthesia and Pain Management, Sinai Health System, Women's College Hospital, University Health Network, Toronto, ON, Canada
| | - Jeannie Callum
- University of Toronto Quality in Utilization, Education and Safety in Transfusion Research Program, Toronto, ON, Canada
- Department of Pathology and Molecular Medicine, Kingston Health Sciences Centre and Queen's University, Kingston, ON, Canada
| | - Yulia Lin
- University of Toronto Quality in Utilization, Education and Safety in Transfusion Research Program, Toronto, ON, Canada
- Precision Diagnostics and Therapeutics Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Keyvan Karkouti
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Anesthesia and Pain Management, Sinai Health System, Women's College Hospital, University Health Network, Toronto, ON, Canada
- University of Toronto Quality in Utilization, Education and Safety in Transfusion Research Program, Toronto, ON, Canada
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Interdepartmental Division of Critical Care, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Justyna Bartoszko
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Department of Anesthesia and Pain Management, Sinai Health System, Women's College Hospital, University Health Network, Toronto, ON, Canada.
- University of Toronto Quality in Utilization, Education and Safety in Transfusion Research Program, Toronto, ON, Canada.
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada.
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.
- Interdepartmental Division of Critical Care, Department of Medicine, University of Toronto, Toronto, ON, Canada.
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Wang X, Tao J, Zhong Y, Yao Y, Wang T, Gao Q, Xu G, Lv T, Li X, Sun D, Cheng Z, Liu M, Xu J, Wu C, Wang Y, Wang R, Zheng B, Yan M. Nadir Hemoglobin Concentration After Spinal Tumor Surgery: Association With Risk of Composite Adverse Events. Global Spine J 2023:21925682231212860. [PMID: 37918436 DOI: 10.1177/21925682231212860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2023] Open
Abstract
STUDY DESIGN Retrospective case-control study. OBJECTIVE To explore the association of early postoperative nadir hemoglobin with risk of a composite outcome of anemia-related and other adverse events. METHODS We retrospectively analyzed data from spinal tumor patients who received intraoperative blood transfusion between September 1, 2013 and December 31, 2020. Uni- and multivariate logistic regression was used to explore relationships of clinicodemographic and surgical factors with risk of composite in-hospital adverse events, including death. Subgroup analysis explored the relationship between early postoperative nadir hemoglobin and composite adverse events. RESULTS Among the 345 patients, 331 (95.9%) experienced early postoperative anemia and 69 (20%) experienced postoperative composite adverse events. Multivariate logistic regression analysis showed that postoperative nadir Hb (OR = .818, 95% CI: .672-.995, P = .044), ASA ≥3 (OR = 2.007, 95% CI: 1.086-3.707, P = .026), intraoperative RBC infusion volume (OR = 1.133, 95% CI: 1.009-1.272, P = .035), abnormal hypertension (OR = 2.199, 95% CI: 1.085-4.457, P = .029) were correlated with composite adverse events. The lumbar spinal tumor was associated with composite adverse events with a decreased odds compared to thoracic spinal tumors (OR = .444, 95% CI: .226-.876, P = .019). Compared to patients with postoperative nadir hemoglobin ≥11.0 g/dL, those with nadir <9.0 g/dL were at significantly higher risk of postoperative composite adverse events (OR = 2.709, 95% CI: 1.087-6.754, P = .032). CONCLUSION Nadir hemoglobin <9.0 g/dL after spinal tumor surgery is associated with greater risk of postoperative composite adverse events in patients who receive intraoperative blood transfusion.
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Affiliation(s)
- Xuena Wang
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
- Department of Anesthesiology, The First People's Hospital of Huzhou, First Affiliated Hospital of Huzhou Normal College, Huzhou, China
| | - Jiachun Tao
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Yinbo Zhong
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Yuanyuan Yao
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Tingting Wang
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Qi Gao
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Guangxin Xu
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Tao Lv
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Xuejie Li
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
- School of Anesthesiology, Weifang Medical University, Weifang, China
| | - Dawei Sun
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Zhenzhen Cheng
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Mingxia Liu
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Jingpin Xu
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Chaomin Wu
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
| | - Ying Wang
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
- Jiangsu Province Key Laboratory of Anesthesiology, Xuzhou Medical University, Xuzhou, China
| | - Ruiyu Wang
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
- School of Anesthesiology, Weifang Medical University, Weifang, China
| | - Bin Zheng
- Department of Surgery, University of Alberta, Edmonton, AB, Canada
| | - Min Yan
- Department of Anesthesiology, Second Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou, China
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Chen DX, Wang YS, Yan M, Du L, Li Q. A model based on electronic health records to predict transfusion events in on-pump cardiac surgery. iScience 2023; 26:107798. [PMID: 37744030 PMCID: PMC10514444 DOI: 10.1016/j.isci.2023.107798] [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: 06/04/2023] [Revised: 07/26/2023] [Accepted: 08/29/2023] [Indexed: 09/26/2023] Open
Abstract
Perioperative blood transfusion is costly and raises safety concerns. We developed and validated a model for predicting minor, moderate, or major transfusion given to patients during on-pump cardiac procedures based on two centers' database. Model performance incorporating 7 variables on the development set had an AUC of 0.803 [95% CI, 0.790-0.815] for minor transfusion; moderate transfusion, giving an AUC of 0.822 (95% CI, 0.803-0.841); and major transfusion, giving an AUC of 0.813 (95% CI, 0.759-0.866). Model performance on the validation set had an AUC of 0.739 (95% CI 0.714-0.765), 0.730 (95% CI 0.702-0.758), and 0.713 (95% CI 0.677-0.749), respectively. A model based entirely on readily available electronic health records can accurately predict intraoperative minor, moderate, or major transfusion and provide individualized transfusion risk profiles before surgery among those on-pump cardiac surgical patients, and may help guide patient management.
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Affiliation(s)
- Dong Xu Chen
- Department of Anesthesiology, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
| | - Yi Shun Wang
- Department of Anesthesiology, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
| | - Min Yan
- Department of Anesthesiology, The Second Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang 330100, P.R.China
| | - Lei Du
- Department of Anesthesiology, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
| | - Qian Li
- Department of Anesthesiology, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
- The Research Units of West China (2018RU012)-Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, No. 37 Wainan Guoxue Road, Chengdu, Sichuan 610041, P.R.China
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Cheng Z, Wang Y, Liu J, Ming Y, Yao Y, Wu Z, Guo Y, Du L, Yan M. A novel model for predicting a composite outcome of major complications after valve surgery. Front Cardiovasc Med 2023; 10:1132428. [PMID: 37265563 PMCID: PMC10229809 DOI: 10.3389/fcvm.2023.1132428] [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: 12/27/2022] [Accepted: 04/28/2023] [Indexed: 06/03/2023] Open
Abstract
Background On-pump valve surgeries are associated with high morbidity and mortality. The present study aimed to reliably predict a composite outcome of postoperative complications using a minimum of easily accessible clinical parameters. Methods A total of 7,441 patients who underwent valve surgery were retrospectively analyzed. Data for 6,220 patients at West China Hospital of Sichuan University were used to develop a predictive model, which was validated using data from 1,221 patients at the Second Affiliated Hospital of Zhejiang University School of Medicine. The primary outcome was a composite of major complications: all-cause death in hospital, stroke, myocardial infarction, and severe acute kidney injury. The predictive model was constructed using the least absolute shrinkage and selection operator as well as multivariable logistic regression. The model was assessed in terms of the areas under receiver operating characteristic curves, calibration, and decision curve analysis. Results The primary outcome occurred in 129 patients (2.1%) in the development cohort and 71 (5.8%) in the validation cohort. Six variables were retained in the predictive model: New York Heart Association class, diabetes, glucose, blood urea nitrogen, operation time, and red blood cell transfusion during surgery. The C-statistics were 0.735 (95% CI, 0.686-0.784) in the development cohort and 0.761 (95% CI, 0.694-0.828) in the validation cohort. For both cohorts, calibration plots showed good agreement between predicted and actual observations, and ecision curve analysis showed clinical usefulness. In contrast, the well-established SinoSCORE did not accurately predict the primary outcome in either cohort. Conclusions This predictive nomogram based on six easily accessible variables may serve as an "early warning" system to identify patients at high risk of major complications after valve surgery. Clinical Trial Registration [www.ClinicalTrials.gov], identifier [NCT04476134].
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Affiliation(s)
- Zhenzhen Cheng
- Department of Anesthesiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yishun Wang
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, China
| | - Jing Liu
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, China
| | - Yue Ming
- Department of Anesthesiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yuanyuan Yao
- Department of Anesthesiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zhong Wu
- Department of Cardiovascular Surgery of West China Hospital, Sichuan University, Chengdu, China
| | - Yingqiang Guo
- Department of Cardiovascular Surgery of West China Hospital, Sichuan University, Chengdu, China
| | - Lei Du
- Department of Anesthesiology, West China Hospital of Sichuan University, Chengdu, China
| | - Min Yan
- Department of Anesthesiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
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Liu Z, Zang W, Zhang P, Shen Z. Prognostic implications of Global Leadership Initiative on Malnutrition-defined malnutrition in older patients who underwent cardiac surgery in China. Surgery 2023; 173:472-478. [PMID: 36494275 DOI: 10.1016/j.surg.2022.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/04/2022] [Accepted: 11/13/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The proportion of older patients who are candidates for cardiac surgery is increasing. Growing evidence has shown that malnutrition is associated with a poor prognosis after cardiac surgery. The present study aimed to investigate the prognostic implications of malnutrition defined by the Global Leadership Initiative on Malnutrition in older patients who underwent cardiac surgery. METHODS From November 2015 to January 2021, 401 older patients who underwent cardiac surgery were retrospectively enrolled and evaluated using the Global Leadership Initiative on Malnutrition criteria. The perioperative characteristics and clinical outcomes were collected. The independent risk factors for postoperative complications and overall survival were analyzed. RESULTS The prevalence of Global Leadership Initiative on Malnutrition-defined malnutrition was 22.7% in this study. Patients with Global Leadership Initiative on Malnutrition-defined malnutrition had higher risks of postoperative complications (65.9% vs 49.7%, P = .006) and poor overall survival (68.1% vs 83.9%, P = .0019). Global Leadership Initiative on Malnutrition-defined malnutrition was also related to a longer postoperative hospital stay and prolonged intensive care stay. Five factors were identified as independent risk factors for overall survival: Global Leadership Initiative on Malnutrition-defined malnutrition (P = .009), chronic heart failure (P = .007), atrial fibrillation (P = .029), operative time (P < .001) and hemoglobin (P = .044). CONCLUSION We demonstrated the prognostic implications of Global Leadership Initiative on Malnutrition-defined malnutrition in older patients who underwent cardiac surgery for the first time. This study highlights the necessity of using the Global Leadership Initiative on Malnutrition assessment in the comprehensive preoperative risk assessment of cardiac surgery.
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Affiliation(s)
- Zhang Liu
- Department of Cardio-Thoracic Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wangfu Zang
- Department of Cardio-Thoracic Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Peng Zhang
- Department of Cardio-Thoracic Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
| | - Zile Shen
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
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Condello I, Nasso G, Larosa C. Cardiopulmonary Bypass Techniques and Postoperative Nadir Hemoglobin in Cardiac Surgery. Ann Thorac Surg 2021; 114:1526-1527. [PMID: 34736926 DOI: 10.1016/j.athoracsur.2021.09.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 11/18/2022]
Affiliation(s)
- Ignazio Condello
- Department of Cardiac Surgery, GVM Care and Research, Perfusion Service, Anthea Hospital, Via Camillo Rosalba 35/37, Bari 70124, Italy.
| | - Giuseppe Nasso
- Department of Cardiac Surgery, GVM Care and Research, Perfusion Service, Anthea Hospital, Via Camillo Rosalba 35/37, Bari 70124, Italy
| | - Claudio Larosa
- Department of Cardiology, Azienda Sanitaria Localedella provincia di Barletta Andria Trani, Andria, Italy
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