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Spring A, Saran JS, McCarthy S, McCluskey SA. Anesthesia for the Patient with Severe Liver Failure. Adv Anesth 2020; 38:251-267. [PMID: 34106838 DOI: 10.1016/j.aan.2020.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The incidence of liver failure continues to increase, and it is associated with increased perioperative morbidity and mortality. Liver failure is associated with multiorgan dysfunction, including central nervous, cardiac, respiratory, gastrointestinal, renal, and hematological systems. Preoperative identification, optimization, and tailored anesthetic management are essential for optimum outcomes in patients with liver disease undergoing surgery. The coagulopathy of liver failure is a balanced coagulopathy better assessed by thromboelastography than conventional testing, and it is not directly associated with bleeding risk.
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Affiliation(s)
- Aidan Spring
- Abdominal Organ Transplantation Anesthesia Fellowship Program, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Jagroop S Saran
- Abdominal Organ Transplantation Anesthesia Fellowship Program, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Sinead McCarthy
- Abdominal Organ Transplantation Anesthesia Fellowship Program, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Stuart A McCluskey
- Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada.
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The effect of cirrhosis on trauma outcomes: A systematic review and meta-analysis. J Trauma Acute Care Surg 2020; 88:536-545. [PMID: 31389920 DOI: 10.1097/ta.0000000000002464] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The negative effect of cirrhosis on mortality following traumatic injury has been quantified in multiple observational studies. However, to our knowledge, the information contained in these studies has never been synthesized. The aims of this study were: (1) to determine the magnitude of the effect of liver cirrhosis on mortality, morbidity, and hospital course among trauma patients and (2) to analyze sources of study heterogeneity that may lead to differing estimates in the observed mortality rate among patients with cirrhosis. METHODS A systematic search of EMBASE and PubMed was conducted. Data were extracted from eligible studies and analyzed using a random-effects model to compare trauma outcomes in cirrhotic and noncirrhotic patients (PROSPERO Registration CRD42018088464). Mortality was the primary outcome. Secondary outcomes included complication rate, length of hospital stay, length of intensive care unit stay, and mechanical ventilation days. RESULTS Title and abstract review of 15,958 articles led to the identification of 31 relevant articles. Ultimately, 18 observational studies were included in this meta-analysis. The pooled effect sizes for mortality (odds ratio [OR], 4.52; 95% confidence interval [CI], 3.13-6.54) and complication rate (OR, 1.92; 95% CI, 1.30-2.85) were higher in the cirrhotic group than the noncirrhotic group. Trauma patients with cirrhosis also incurred longer hospital stays (mean difference, 3.81 days; 95% CI, 1.22-6.41) and longer ICU stays (mean difference, 2.40 days; 95% CI, 0.65-4.15). There was no difference in days spent on mechanical ventilation. CONCLUSION Preexisting liver cirrhosis is associated with increased mortality rate, complication rate, and length of hospitalization among trauma patients, even after adjusting for confounding factors and potential sources of between-study heterogeneity. Trauma patients with cirrhosis would benefit from heightened surveillance and injury prevention interventions. LEVEL OF EVIDENCE Systematic review and meta-analysis, level III.
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Spring A, Saran JS, McCarthy S, McCluskey SA. Anesthesia for the Patient with Severe Liver Failure. Anesthesiol Clin 2020; 38:35-50. [PMID: 32008656 DOI: 10.1016/j.anclin.2019.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The incidence of liver failure continues to increase, and it is associated with increased perioperative morbidity and mortality. Liver failure is associated with multiorgan dysfunction, including central nervous, cardiac, respiratory, gastrointestinal, renal, and hematological systems. Preoperative identification, optimization, and tailored anesthetic management are essential for optimum outcomes in patients with liver disease undergoing surgery. The coagulopathy of liver failure is a balanced coagulopathy better assessed by thromboelastography than conventional testing, and it is not directly associated with bleeding risk.
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Affiliation(s)
- Aidan Spring
- Abdominal Organ Transplantation Anesthesia Fellowship Program, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Jagroop S Saran
- Abdominal Organ Transplantation Anesthesia Fellowship Program, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Sinead McCarthy
- Abdominal Organ Transplantation Anesthesia Fellowship Program, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Stuart A McCluskey
- Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, University of Toronto, 3 Eaton North, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada.
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Grigorian A, Albertson S, Delaplain PT, Gabriel V, Maithel S, Dosch A, Schubl S, Joe V, Nahmias J. Cirrhosis increases complication rate and overall mortality in patients with traumatic lung injury. TRAUMA-ENGLAND 2019. [DOI: 10.1177/1460408618774577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Areg Grigorian
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Spencer Albertson
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Patrick T Delaplain
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Viktor Gabriel
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Shelley Maithel
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Austin Dosch
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Sebastian Schubl
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Victor Joe
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
| | - Jeffry Nahmias
- Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, University of California, Irvine, Irvine, USA
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Kuo PJ, Wu SC, Chien PC, Chang SS, Rau CS, Tai HL, Peng SH, Lin YC, Chen YC, Hsieh HY, Hsieh CH. Artificial neural network approach to predict surgical site infection after free-flap reconstruction in patients receiving surgery for head and neck cancer. Oncotarget 2018; 9:13768-13782. [PMID: 29568393 PMCID: PMC5862614 DOI: 10.18632/oncotarget.24468] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 02/03/2018] [Indexed: 12/22/2022] Open
Abstract
Background The aim of this study was to develop an effective surgical site infection (SSI) prediction model in patients receiving free-flap reconstruction after surgery for head and neck cancer using artificial neural network (ANN), and to compare its predictive power with that of conventional logistic regression (LR). Materials and methods There were 1,836 patients with 1,854 free-flap reconstructions and 438 postoperative SSIs in the dataset for analysis. They were randomly assigned tin ratio of 7:3 into a training set and a test set. Based on comprehensive characteristics of patients and diseases in the absence or presence of operative data, prediction of SSI was performed at two time points (pre-operatively and post-operatively) with a feed-forward ANN and the LR models. In addition to the calculated accuracy, sensitivity, and specificity, the predictive performance of ANN and LR were assessed based on area under the curve (AUC) measures of receiver operator characteristic curves and Brier score. Results ANN had a significantly higher AUC (0.892) of post-operative prediction and AUC (0.808) of pre-operative prediction than LR (both P<0.0001). In addition, there was significant higher AUC of post-operative prediction than pre-operative prediction by ANN (p<0.0001). With the highest AUC and the lowest Brier score (0.090), the post-operative prediction by ANN had the highest overall predictive performance. Conclusion The post-operative prediction by ANN had the highest overall performance in predicting SSI after free-flap reconstruction in patients receiving surgery for head and neck cancer.
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Affiliation(s)
- Pao-Jen Kuo
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Shao-Chun Wu
- Department of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Peng-Chen Chien
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Shu-Shya Chang
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Cheng-Shyuan Rau
- Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Hsueh-Ling Tai
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Shu-Hui Peng
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yi-Chun Lin
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yi-Chun Chen
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Hsiao-Yun Hsieh
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Ching-Hua Hsieh
- Department of Plastic and Reconstructive Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.,Center for Vascularized Composite Allotransplantation, Chang Gung Memorial Hospital, Taoyuan, Taiwan
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