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Saugel B, Fletcher N, Gan TJ, Grocott MPW, Myles PS, Sessler DI. PeriOperative Quality Initiative (POQI) international consensus statement on perioperative arterial pressure management. Br J Anaesth 2024; 133:264-276. [PMID: 38839472 PMCID: PMC11282474 DOI: 10.1016/j.bja.2024.04.046] [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: 12/19/2023] [Revised: 03/09/2024] [Accepted: 04/05/2024] [Indexed: 06/07/2024] Open
Abstract
Arterial pressure monitoring and management are mainstays of haemodynamic therapy in patients having surgery. This article presents updated consensus statements and recommendations on perioperative arterial pressure management developed during the 11th POQI PeriOperative Quality Initiative (POQI) consensus conference held in London, UK, on June 4-6, 2023, which included a diverse group of international experts. Based on a modified Delphi approach, we recommend keeping intraoperative mean arterial pressure ≥60 mm Hg in at-risk patients. We further recommend increasing mean arterial pressure targets when venous or compartment pressures are elevated and treating hypotension based on presumed underlying causes. When intraoperative hypertension is treated, we recommend doing so carefully to avoid hypotension. Clinicians should consider continuous intraoperative arterial pressure monitoring as it can help reduce the severity and duration of hypotension compared to intermittent arterial pressure monitoring. Postoperative hypotension is often unrecognised and might be more important than intraoperative hypotension because it is often prolonged and untreated. Future research should focus on identifying patient-specific and organ-specific hypotension harm thresholds and optimal treatment strategies for intraoperative hypotension including choice of vasopressors. Research is also needed to guide monitoring and management strategies for recognising, preventing, and treating postoperative hypotension.
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Affiliation(s)
- Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium, Cleveland, OH, USA.
| | - Nick Fletcher
- Institute of Anesthesia and Critical Care, Cleveland Clinic London, London, UK
| | - Tong J Gan
- Division of Anesthesiology and Perioperative Medicine, Critical Care and Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael P W Grocott
- Perioperative and Critical Care Theme, NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust/University of Southampton, Southampton, UK
| | - Paul S Myles
- Department of Anaesthesiology and Perioperative Medicine, Alfred Hospital and Monash University, Melbourne, VIC, Australia
| | - Daniel I Sessler
- Outcomes Research Consortium, Department of Anesthesiology, Cleveland Clinic, Cleveland, OH, USA
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Wang XD, Bao R, Lan Y, Zhao ZZ, Yang XY, Wang YY, Quan ZY, Wang JF, Bian JJ. The incidence, risk factors, and prognosis of acute kidney injury in patients after cardiac surgery. Front Cardiovasc Med 2024; 11:1396889. [PMID: 39081365 PMCID: PMC11286402 DOI: 10.3389/fcvm.2024.1396889] [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: 03/06/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024] Open
Abstract
Background Acute kidney injury (AKI) represents a significant complication following cardiac surgery, associated with increased morbidity and mortality rates. Despite its clinical importance, there is a lack of universally applicable and reliable methods for the early identification and diagnosis of AKI. This study aimed to examine the incidence of AKI after cardiac surgery, identify associated risk factors, and evaluate the prognosis of patients with AKI. Method This retrospective study included adult patients who underwent cardiac surgery at Changhai Hospital between January 7, 2021, and December 31, 2021. AKI was defined according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Perioperative data were retrospectively obtained from electronic health records. Logistic regression analyses were used to identify independent risk factors for AKI. The 30-day survival was assessed using the Kaplan-Meier method, and differences between survival curves for different AKI severity levels were compared using the log-rank test. Results Postoperative AKI occurred in 257 patients (29.6%), categorized as stage 1 (179 patients, 20.6%), stage 2 (39 patients, 4.5%), and stage 3 (39 patients, 4.5%). The key independent risk factors for AKI included increased mean platelet volume (MPV) and the volume of intraoperative cryoprecipitate transfusions. The 30-day mortality rate was 3.2%. Kaplan-Meier analysis showed a lower survival rate in the AKI group (89.1%) compared to the non-AKI group (100%, P < 0.001). Conclusion AKI was notably prevalent following cardiac surgery in this study, significantly impacting survival rates. Notably, MPV and administration of cryoprecipitate may have new considerable predictive significance. Proactive identification and management of high-risk individuals are essential for reducing postoperative complications and mortality.
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Affiliation(s)
| | | | | | | | | | | | | | - Jia-feng Wang
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jin-jun Bian
- Faculty of Anesthesiology, Changhai Hospital, Naval Medical University, Shanghai, China
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Penev Y, Ruppert MM, Bilgili A, Li Y, Habib R, Dozic AV, Small C, Adiyeke E, Ozrazgat-Baslanti T, Loftus TJ, Giordano C, Bihorac A. Intraoperative hypotension and postoperative acute kidney injury: A systematic review. Am J Surg 2024; 232:45-53. [PMID: 38383166 DOI: 10.1016/j.amjsurg.2024.02.001] [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: 11/15/2023] [Revised: 01/17/2024] [Accepted: 02/01/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND There is no consensus regarding safe intraoperative blood pressure thresholds that protect against postoperative acute kidney injury (AKI). This review aims to examine the existing literature to delineate safe intraoperative hypotension (IOH) parameters to prevent postoperative AKI. METHODS PubMed, Cochrane Central, and Web of Science were systematically searched for articles published between 2015 and 2022 relating the effects of IOH on postoperative AKI. RESULTS Our search yielded 19 articles. IOH risk thresholds ranged from <50 to <75 mmHg for mean arterial pressure (MAP) and from <70 to <100 mmHg for systolic blood pressure (SBP). MAP below 65 mmHg for over 5 min was the most cited threshold (N = 13) consistently associated with increased postoperative AKI. Greater magnitude and duration of MAP and SBP below the thresholds were generally associated with a dose-dependent increase in postoperative AKI incidence. CONCLUSIONS While a consistent definition for IOH remains elusive, the evidence suggests that MAP below 65 mmHg for over 5 min is strongly associated with postoperative AKI, with the risk increasing with the magnitude and duration of IOH.
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Affiliation(s)
- Yordan Penev
- Department of Medicine, University of Florida, Gainesville, FL, USA; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA
| | - Matthew M Ruppert
- Department of Medicine, University of Florida, Gainesville, FL, USA; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA
| | - Ahmet Bilgili
- Department of Medicine, University of Florida, Gainesville, FL, USA; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA
| | - Youlei Li
- University of Florida, Gainesville, FL, USA
| | | | | | - Coulter Small
- Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA
| | - Esra Adiyeke
- Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA
| | | | - Tyler J Loftus
- Department of Surgery, University of Florida, Gainesville, FL, USA; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA
| | - Chris Giordano
- Department of Anesthesiology, University of Florida, Gainesville, FL, USA
| | - Azra Bihorac
- Department of Medicine, University of Florida, Gainesville, FL, USA; Intelligent Clinical Care Center, University of Florida, Gainesville, FL, USA.
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Scurt FG, Bose K, Mertens PR, Chatzikyrkou C, Herzog C. Cardiac Surgery-Associated Acute Kidney Injury. KIDNEY360 2024; 5:909-926. [PMID: 38689404 PMCID: PMC11219121 DOI: 10.34067/kid.0000000000000466] [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: 10/12/2023] [Accepted: 04/26/2024] [Indexed: 05/02/2024]
Abstract
AKI is a common and serious complication of cardiac surgery that has a significant impact on patient morbidity and mortality. The Kidney Disease Improving Global Outcomes definition of AKI is widely used to classify and identify AKI associated with cardiac surgery (cardiac surgery-associated AKI [CSA-AKI]) on the basis of changes in serum creatinine and/or urine output. There are various preoperative, intraoperative, and postoperative risk factors for the development of CSA-AKI which should be recognized and addressed as early as possible to expedite its diagnosis, reduce its occurrence, and prevent or ameliorate its devastating complications. Crucial issues are the inaccuracy of serum creatinine as a surrogate parameter of kidney function in the perioperative setting of cardiothoracic surgery and the necessity to discover more representative markers of the pathophysiology of AKI. However, except for the tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 ratio, other diagnostic biomarkers with an acceptable sensitivity and specificity are still lacking. This article provides a comprehensive review of various aspects of CSA-AKI, including pathogenesis, risk factors, diagnosis, biomarkers, classification, prevention, and treatment management.
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Affiliation(s)
- Florian G. Scurt
- Clinic of Nephrology, Hypertension, Diabetes and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Katrin Bose
- Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital Magdeburg, Magdeburg, Germany
| | - Peter R. Mertens
- Clinic of Nephrology, Hypertension, Diabetes and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Christos Chatzikyrkou
- Department of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany
| | - Carolin Herzog
- Clinic of Nephrology, Hypertension, Diabetes and Endocrinology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
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Drăgan A, Drăgan AŞ. The Preventive Role of Glutamine Supplementation in Cardiac Surgery-Associated Kidney Injury from Experimental Research to Clinical Practice: A Narrative Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:761. [PMID: 38792944 PMCID: PMC11123382 DOI: 10.3390/medicina60050761] [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: 03/21/2024] [Revised: 04/23/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024]
Abstract
Acute kidney injury represents a significant threat in cardiac surgery regarding complications and costs. Novel preventive approaches are needed, as the therapeutic modalities are still limited. As experimental studies have demonstrated, glutamine, a conditionally essential amino acid, might have a protective role in this setting. Moreover, the levels of glutamine after the cardiopulmonary bypass are significantly lower. In clinical practice, various trials have investigated the effects of glutamine supplementation on cardiac surgery with encouraging results. However, these studies are heterogeneous regarding the selection criteria, timing, dose, outcomes studied, and way of glutamine administration. This narrative review aims to present the potential role of glutamine in cardiac surgery-associated acute kidney injury prevention, starting from the experimental studies and guidelines to the clinical practice and future directions.
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Affiliation(s)
- Anca Drăgan
- Department of Cardiovascular Anaesthesiology and Intensive Care, Emergency Institute for Cardiovascular Diseases “Prof Dr C C Iliescu”, 258 Fundeni Road, 022328 Bucharest, Romania
| | - Adrian Ştefan Drăgan
- Faculty of General Medicine, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Blvd, 050474 Bucharest, Romania;
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Wang L, Hu L, Yan Dai Q, Qi H, Wang Z, Chen X. Intraoperative central venous pressure during cardiopulmonary bypass is an alternative indicator for early prediction of acute kidney injury in adult cardiac surgery. J Cardiothorac Surg 2024; 19:262. [PMID: 38654307 PMCID: PMC11036586 DOI: 10.1186/s13019-024-02734-7] [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: 12/06/2023] [Accepted: 03/29/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The relationship between venous congestion in cardiopulmonary bypass (CPB) and acute kidney injury (AKI) in cardiac surgery has not utterly substantiated. This study aimed at investigate the relationship between CVP in CPB and the occurrence of AKI. METHODS We retrospectively reviewed 2048 consecutive patients with cardiovascular disease undergoing cardiac procedure with CPB from January 2018 to December 2022. We used the median CVP value obtained during CPB for our analysis and patients were grouped according to this parameter. The primary outcomes were AKI and renal replacement therapy(RRT). Multivariable logistic regression was used to explore the association between CVP and AKI. RESULTS A total of 2048 patients were enrolled in our study and divided into high CVP group (CVP ≥ 6.5 mmHg) and low CVP group (CVP < 6.5 mmHg) according to the median CVP value. Patients in high CVP group had the high AKI and RRT rate when compared to the low CVPgroup[(367/912,40.24%)vs.(408/1136,35.92%),P = 0.045;(16/912,1.75%vs.9/1136;0.79%), P = 0.049]. Multivariate logistic regression analysis displayed CVP played an indispensable part in development of renal failure in surgical. CONCLUSIONS Elevated CVP(≥ 6.5mmH2OmmHg) in CPB during cardiac operation is associated with an increased risk of AKI in cardiovascular surgery patients. Clinical attention should be paid to the potential role of CVP in predicting the occurrence of AKI.
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Affiliation(s)
- Lei Wang
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Chang le Road 68, Nanjing, Jiangsu, China
| | - Lanxin Hu
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical university, Nanjing, Jiangsu, China
| | - Qiong Yan Dai
- Department of Anesthesia, Jiangning Hospital Affiliated to Nanjing Medical College, Nanjing, Jiangsu, China
| | - HaoYu Qi
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Chang le Road 68, Nanjing, Jiangsu, China
| | - ZhenHong Wang
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical university, Nanjing, Jiangsu, China
| | - Xin Chen
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Chang le Road 68, Nanjing, Jiangsu, China.
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Zhao W, Wang YP, Tang X, Jiang Y, Xue Y, Wang Y, Ding Q, Chen H, Wang D, Cheng Y, Ge M, Zhou Q. Development and validation of LCMM prediction algorithms to estimate recovery pattern of postoperative AKI in type A aortic dissection: a retrospective study. Front Cardiovasc Med 2024; 11:1364332. [PMID: 38707890 PMCID: PMC11066321 DOI: 10.3389/fcvm.2024.1364332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 04/03/2024] [Indexed: 05/07/2024] Open
Abstract
Background Postoperative acute kidney injury (PO-AKI) is a prevalent complication among patients with acute type A aortic dissection (aTAAD) for which unrecognized trajectories of renal function recovery, and their heterogeneity, may underpin poor success in identifying effective therapies. Methods This was a retrospective, single-center cohort study in a regional Great Vessel Center including patients undergoing aortic dissection surgery. Estimated glomerular filtration rate (eGFR) recovery trajectories of PO-AKI were defined through the unsupervised latent class mixture modeling (LCMM), with an assessment of patient and procedural characteristics, complications, and early-term survival. Internal validation was performed by resampling. Results A total of 1,295 aTAAD patients underwent surgery and 645 (49.8%) developed PO-AKI. Among the PO-AKI cohort, the LCMM identified two distinct eGFR trajectories: early recovery (ER-AKI, 51.8% of patients) and late or no recovery (LNR-AKI, 48.2% of patients). Binary logistic regression identified five critical determinants regarding poor renal recovery, including chronic kidney disease (CKD) history, renal hypoperfusion, circulation arrest time, intraoperative urine, and myoglobin. LNR-AKI was associated with increased mortality, continuous renal replacement therapies, mechanical ventilation, ICU stay, and hospital stay. The assessment of the predictive model was good, with an area under the curve (AUC) of 0.73 (95% CI: 0.69-0.76), sensitivity of 61.74%, and specificity of 75.15%. The internal validation derived a consistent average AUC of 0.73. The nomogram was constructed for clinicians' convenience. Conclusion Our study explored the PO-AKI recovery patterns among surgical aTAAD patients and identified critical determinants that help to predict individuals at risk of poor recovery of renal function.
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Affiliation(s)
- Weiwei Zhao
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Ya-peng Wang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China
| | - Xinlong Tang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yi Jiang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, Jiangsu, China
| | - Yunxing Xue
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Yali Wang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Qiuju Ding
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Huimei Chen
- Programme in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Dongjin Wang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - YongQing Cheng
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Min Ge
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Qing Zhou
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China
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Xiao W, Liu W, Zhang J, Huang L, Liu Y, Hu J, Hua T, Yang M. Early persistent exposure to high CVP is associated with increased mortality and AKI in septic shock: A retrospective study. Am J Emerg Med 2023; 74:146-151. [PMID: 37837823 DOI: 10.1016/j.ajem.2023.09.043] [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: 06/05/2023] [Revised: 09/04/2023] [Accepted: 09/23/2023] [Indexed: 10/16/2023] Open
Abstract
PURPOSE This study's objective was to investigate the association between exposure to different intensities of central venous pressure (CVP) over time in patients with septic shock with 28-day mortality and acute kidney injury (AKI). MATERIALS AND METHODS We obtained data from the AmsterdamUMCdb, which includes data on patients ≥18 years old with septic shock undergoing CVP monitoring. The primary outcome was mortality by day 28. Piecewise exponential additive mixed models were used to estimate the strength of the association over time. RESULTS 9668 patients were included in the study. They exhibited 8.2% overall mortality at 28 days and 41.1% AKI incidence. Daily time-weighted average CVP was strongly associated with increased mortality at 28 days, primarily within 24 h of ICU admission. The mortality rate of patients was lowest when the CVP was 6-12 cmH2O. When the time of high CVP (TWA-CVP >12 cmH2O) exposure within the first 24 h was >5 h, the risk of death increased by 2.69-fold. Additionally, patients exposed to high CVP had a significantly increased risk of developing AKI. CONCLUSIONS The optimal CVP range for patients with septic shock within 24 h of ICU admission is 6-12 cmH2O. Mortality increased when patients were exposed to high CVP for >5 h.
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Affiliation(s)
- Wenyan Xiao
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Wanjun Liu
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Jin Zhang
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Lisha Huang
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Yu Liu
- Key Laboratory of Intelligent Computing and Signal Processing, Anhui University, Ministry of Education, Hefei, Anhui 230601, PR China; School of Integrated Circuits, Anhui University, Anhui, Hefei 230601, PR China
| | - Juanjuan Hu
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Tianfeng Hua
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China
| | - Min Yang
- The Second Department of Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China; The Laboratory of Cardiopulmonary Resuscitation and Critical Care Medicine, the Second Affiliated Hospital of Anhui Medical University, Anhui, Hefei 230601, PR China.
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Huang WK, Lian WY, Zhuo XY, Kang SY, Luo WC, Xie YS, Xi GY, Liu KX, Liu WF. Association between cumulative duration of deep anesthesia and postoperative acute kidney injury after noncardiac surgeries: a retrospective observational study. Ren Fail 2023; 45:2287130. [PMID: 38031451 PMCID: PMC11001356 DOI: 10.1080/0886022x.2023.2287130] [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: 05/24/2023] [Accepted: 11/19/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Bispectral index (BIS) is a processed electroencephalography monitoring tool and is widely used in anesthetic depth monitoring. Deep anesthesia exposure may be associated with multiple adverse outcomes. However, the relationship between anesthetic depth and postoperative acute kidney injury (AKI) remains unclear. We sought to determine the effect of BIS-based deep anesthesia duration on postoperative AKI following noncardiac surgery. METHODS This retrospective study used data from the Vital Signs DataBase, including patients undergoing noncardiac surgeries with BIS monitoring. The BIS values were collected every second during anesthesia. Restricted cubic splines and logistic regression were used to assess the association between the cumulative duration of deep anesthesia and postoperative AKI. RESULTS 4774 patients were eligible, and 129 (2.7%) experienced postoperative AKI. Restricted cubic splines showed that a cumulative duration of BIS < 45 was nonlinearly associated with postoperative AKI (P-overall = 0.033 and P-non-linear = 0.023). Using the group with the duration of BIS < 45 less than 15 min as the reference, ORs of postoperative AKI were 2.59 (95% confidence interval [CI]:0.60 to 11.09, p = 0.200) in the 15-100 min group, and 4.04 (95%CI:0.92 to 17.76, p = 0.064) in the ≥ 100 min group after adjusting for preoperative and intraoperative covariates in multivariable logistic regression. CONCLUSIONS The cumulative duration of BIS < 45 was independently and nonlinearly associated with the risk of postoperative AKI in patients undergoing noncardiac surgery.
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Affiliation(s)
- Wen-Kao Huang
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wan-Yi Lian
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiao-Yu Zhuo
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Song-Yun Kang
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wen-Chi Luo
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yi-Shan Xie
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Gui-Yang Xi
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ke-Xuan Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wei-Feng Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Dai A, Zhou Z, Jiang F, Guo Y, Asante DO, Feng Y, Huang K, Chen C, Shi H, Si Y, Zou J. Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model. Ann Med 2023; 55:2266458. [PMID: 37813109 PMCID: PMC10563625 DOI: 10.1080/07853890.2023.2266458] [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: 06/19/2023] [Accepted: 09/24/2023] [Indexed: 10/11/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) is a common and serious complication after the repair of Type A acute aortic dissection (TA-AAD). However, previous models have failed to account for the impact of blood pressure fluctuations on predictive performance. This study aims to develop machine learning (ML) models combined with intraoperative medicine and blood pressure time-series data to improve the accuracy of early prediction for postoperative AKI risk. METHODS Indicators reflecting the duration and depth of hypotension were obtained by analyzing continuous mean arterial pressure (MAP) monitored intraoperatively with multiple thresholds (<65, 60, 55, 50) set in the study. The predictive features were selected by logistic regression and the least absolute shrinkage and selection operator (LASSO), and 4 ML models were built based on the above features. The performance of the models was evaluated by area under receiver operating characteristic curve (AUROC), calibration curve and decision curve analysis (DCA). Shapley additive interpretation (SHAP) was used to explain the prediction models. RESULTS Among the indicators reflecting intraoperative hypotension, 65 mmHg showed a statistically superior difference to other thresholds in patients with or without AKI (p < .001). Among 4 models, the extreme gradient boosting (XGBoost) model demonstrated the highest AUROC: 0.800 (95% 0.683-0.917) and sensitivity: 0.717 in the testing set and was verified the best-performing model. The SHAP summary plot indicated that intraoperative urine output, cumulative time of mean arterial pressure lower than 65 mmHg outside cardiopulmonary bypass (OUT_CPB_MAP_65 time), autologous blood transfusion, and smoking were the top 4 features that contributed to the prediction model. CONCLUSION With the introduction of intraoperative blood pressure time-series variables, we have developed an interpretable XGBoost model that successfully achieve high accuracy in predicting the risk of AKI after TA-AAD repair, which might aid in the perioperative management of high-risk patients, particularly for intraoperative hemodynamic regulation.
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Affiliation(s)
- Anran Dai
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Zhou Zhou
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Fan Jiang
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yaoyi Guo
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Dorothy O. Asante
- Department of Preventive Medicine and Public Health Laboratory Science, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Yue Feng
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Kaizong Huang
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Chen Chen
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Hongwei Shi
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yanna Si
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jianjun Zou
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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Chen L, Ge Y, Liu J, Zhou J. Intraoperative central venous pressure and acute kidney injury incidence in patients with cardiac surgery. Response to Br J Anaesth 2023; 130: e21-e22. Br J Anaesth 2023:S0007-0912(23)00174-5. [PMID: 37179155 DOI: 10.1016/j.bja.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/02/2023] [Accepted: 04/06/2023] [Indexed: 05/15/2023] Open
Affiliation(s)
- Lihai Chen
- Nanjing First Hospital, Nanjing Medical University, Jiangsu, China
| | - Yali Ge
- Nanjing First Hospital, Nanjing Medical University, Jiangsu, China
| | - Jiacong Liu
- Nanjing First Hospital, Nanjing Medical University, Jiangsu, China
| | - Jifang Zhou
- School of International Business, China Pharmaceutical University, Jiangsu, China.
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12
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Yu Y, Wu H, Liu C, Zhang C, Song Y, Ma Y, Li H, Lou J, Liu Y, Cao J, Zhang H, Xu Z, Evans RG, Duan C, Mi W. Intraoperative renal desaturation and postoperative acute kidney injury in older patients undergoing liver resection: A prospective cohort study. J Clin Anesth 2023; 87:111084. [PMID: 36905791 DOI: 10.1016/j.jclinane.2023.111084] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/15/2023] [Accepted: 02/18/2023] [Indexed: 03/13/2023]
Abstract
STUDY OBJECTIVE To determine the association between intraoperative renal tissue desaturation as measured using near-infrared spectroscopy and increased likelihood of developing postoperative acute kidney injury (AKI) in older patients undergoing hepatectomy. DESIGN A multicenter prospective cohort study. SETTING The study was conducted at two tertiary hospitals in China from September 2020 to October 2021. PATIENTS 157 older patients (≥ 60 years) undergoing open hepatectomy surgery. INTERVENTIONS AND MEASUREMENTS Renal tissue oxygen saturation was continuously monitored during operation using near-infrared spectroscopy. The exposure of interest was intraoperative renal desaturation, defined as at least 20% relative decline in renal tissue oxygen saturation from baseline. The primary outcome was postoperative AKI, defined using the Kidney Disease: Improving Global Outcomes criteria according to the serum creatinine criteria. MAIN RESULTS Renal desaturation occurred in 70 of 157 patients. Postoperative AKI was observed in 23% (16/70) and 8% (7/87) of patients with versus without renal desaturation. Patients with renal desaturation were at higher risk of AKI than patients without renal desaturation (adjusted odds ratio 3.41, 95% confidence interval: 1.12-10.36, p = 0.031). Predictive performance was 65.2% sensitivity and 33.6% specificity for hypotension alone, 69.6% sensitivity and 59.7% specificity for renal desaturation alone, and 95.7% sensitivity and 26.9% specificity for combined use of hypotension and renal desaturation. CONCLUSIONS Intraoperative renal desaturation occurred in >40% in our sample of older patients undergoing liver resection and was associated with increased risk of AKI. Intraoperative near-infrared spectroscopy monitoring enhances the detection of AKI.
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Affiliation(s)
- Yao Yu
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Haotian Wu
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Chang Liu
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Changsheng Zhang
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yuxiang Song
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yulong Ma
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Hao Li
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jingsheng Lou
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yanhong Liu
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jiangbei Cao
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Huan Zhang
- Department of Anesthesiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Zhipeng Xu
- Department of Anesthesiology, the Affiliated Hospital of Medical School, Ningbo University, Ningbo, China
| | - Roger G Evans
- Cardiovascular Disease Program, Biomedicine Discovery Institute and Department of Physiology, Monash University, Melbourne, Australia; Florey Institute of Neurosciences and Mental Health, University of Melbourne, Melbourne, Australia
| | - Chongyang Duan
- Department of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
| | - Weidong Mi
- Department of Anesthesiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
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Yu Y, Li C, Zhu S, Jin L, Hu Y, Ling X, Miao C, Guo K. Diagnosis, pathophysiology and preventive strategies for cardiac surgery-associated acute kidney injury: a narrative review. Eur J Med Res 2023; 28:45. [PMID: 36694233 PMCID: PMC9872411 DOI: 10.1186/s40001-023-00990-2] [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: 10/19/2022] [Accepted: 01/03/2023] [Indexed: 01/25/2023] Open
Abstract
Acute kidney injury (AKI) is a common and serious complication of cardiac surgery and is associated with increased mortality and morbidity, accompanied by a substantial economic burden. The pathogenesis of cardiac surgery-associated acute kidney injury (CSA-AKI) is multifactorial and complex, with a variety of pathophysiological theories. In addition to the existing diagnostic criteria, the exploration and validation of biomarkers is the focus of research in the field of CSA-AKI diagnosis. Prevention remains the key to the management of CSA-AKI, and common strategies include maintenance of renal perfusion, individualized blood pressure targets, balanced fluid management, goal-directed oxygen delivery, and avoidance of nephrotoxins. This article reviews the pathogenesis, definition and diagnosis, and pharmacological and nonpharmacological prevention strategies of AKI in cardiac surgical patients.
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Affiliation(s)
- Ying Yu
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Chenning Li
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Shuainan Zhu
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Lin Jin
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Yan Hu
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Xiaomin Ling
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Changhong Miao
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
| | - Kefang Guo
- Department of Anaesthesiology, Zhongshan Hospital, Fudan University, No 180 Fenglin Road, Xuhui District, Shanghai, 20032 China
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Huang H, Hu C, Fu Y, Han Z, Cao M, Fu G. THE EFFECTS OF EARLY-PHASE FUROSEMIDE USE ON THE PROGRESSION OF OLIGURIC ACUTE KIDNEY INJURY ACROSS DIFFERENT CENTRAL VENOUS PRESSURE: A RETROSPECTIVE ANALYSIS. Shock 2023; 59:49-57. [PMID: 36377392 DOI: 10.1097/shk.0000000000002045] [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: 11/16/2022]
Abstract
ABSTRACT Background: Furosemide is a commonly used loop diuretic in critical care. However, its effect on the progression of oliguric acute kidney injury across different central venous pressure (CVP) remains unknown. This study therefore aims to investigate the association between furosemide 6-12h (defined as the use of furosemide within 6 h after the diagnosis of AKI according to the urine output [UO] criteria set by the Kidney Disease: Improving Global Outcomes [KDIGO] guidelines) and the progression of AKI across different CVP 6-12h (defined as CVP within 6 h after the diagnosis of AKI by the KDIGO UO criteria) levels. Methods: Patients involved in this study were identified from the Medical Information Mart for Intensive Care IV database with the following criteria: (i) adults with UO <0.5 mL/kg per hour for the first 6 h upon admission to the intensive care unit (ICU) (meeting stage 1 AKI by UO) and (ii) CVP 6-12h ranging from 0 to 30 mm Hg. From there on, the target primary outcome would be progression to stage 3 AKI by UO among these chosen patients. The secondary outcome was 28-d mortality since ICU admission. The risks of severe-stage AKI progression and 28-d mortality were respectively examined against furosemide 6-12h (vs. without furosemide 6-12h ) within the full cohort and across different subgroups of CVP 6-12h , using multivariate adjusted logistic regression and inverse probability treatment weighting (IPTW). Sensitivity analyses were performed to assess the robustness of our findings. Results: One thousand one hundred eighty patients were ultimately selected for this study, of whom 643 (54.5%) progressed to stage 3 AKI from stage 1 based on the UO criteria by KDIGO. Multivariate analysis showed that furosemide 6-12h is significantly associated with this severe-stage progression within the full cohort (odds ratio [OR] was 0.62 at 95% confidence interval [CI] of 0.43-0.90, P = 0.011). After dividing the patients into CVP 6-12h subgroups according to their CVP during the early phases, lower risk of AKI progression was observed only in furosemide 6-12h application at CVP 6-12h of ≥12 mm Hg (adjusted OR was 0.40 at 95% CI of 0.25-0.65, P < 0.001), as confirmed by the IPTW analysis (OR was 0.47 at 95% CI of 0.29-0.76, P = 0.002). The robustness of these findings was confirmed by sensitivity analyses. In addition, for patients with CVP 6-12h ≥12 mm Hg, furosemide 6-12h is also significantly associated with lower risk of 28-d mortality (adjusted OR was 0.47 at 95% CI of 0.25-0.92, P = 0.026) in the multivariate logistic regression analysis, and there was a similar trend in the IPTW analysis (adjusted OR was 0.55 at 95% CI of 0.28-1.10, P = 0.092). Conclusions: Among the identified early-stage AKI patients in critical care, the use of furosemide was associated only with lower risk of oliguric AKI progression and 28-d mortality within the high CVP group. These findings suggest the potential of CVP as a guidance or reference point in the usage of furosemide among early-stage oliguric AKI patients in the ICU.
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Affiliation(s)
- Haoquan Huang
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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15
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Shao X, Jiang J. Intraoperative central venous pressure and acute kidney injury incidence in patients with cardiac arrest. Comment on Br J Anaesth 2022; 128: 785-95. Br J Anaesth 2023; 130:e21-e22. [PMID: 36369017 DOI: 10.1016/j.bja.2022.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/29/2022] [Accepted: 10/02/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Xiaolu Shao
- Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Jianping Jiang
- Department of Intensive Care, Pinghu First People's Hospital, Pinghu, Zhejiang, China.
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16
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Milne B, Gilbey T, Kunst G. Perioperative Management of the Patient at High-Risk for Cardiac Surgery-Associated Acute Kidney Injury. J Cardiothorac Vasc Anesth 2022; 36:4460-4482. [PMID: 36241503 DOI: 10.1053/j.jvca.2022.08.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/27/2022] [Accepted: 08/22/2022] [Indexed: 11/11/2022]
Abstract
Acute kidney injury (AKI) is one of the most common major complications of cardiac surgery, and is associated with increased morbidity and mortality. Cardiac surgery-associated AKI has a complex, multifactorial etiology, including numerous factors such as primary cardiac dysfunction, hemodynamic derangements of cardiac surgery and cardiopulmonary bypass, and the possibility of a large volume of blood transfusion. There are no truly effective pharmacologic therapies for the management of AKI, and, therefore, anesthesiologists, intensivists, and cardiac surgeons must remain vigilant and attempt to minimize the risk of developing renal dysfunction. This narrative review describes the current state of the scientific literature concerning the specific aspects of cardiac surgery-associated AKI, and presents it in a chronological fashion to aid the perioperative clinician in their approach to this high-risk patient group. The evidence was considered for risk prediction models, preoperative optimization, and the intraoperative and postoperative management of cardiac surgery patients to improve renal outcomes.
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Affiliation(s)
- Benjamin Milne
- Department of Anaesthetics and Pain Medicine, King's College Hospital NHS Foundation Trust, London, United Kingdom; National Institute of Health Research Academic Clinical Fellow, King's College London, London, United Kingdom
| | - Tom Gilbey
- Department of Anaesthetics and Pain Medicine, King's College Hospital NHS Foundation Trust, London, United Kingdom; National Institute of Health Research Academic Clinical Fellow, King's College London, London, United Kingdom
| | - Gudrun Kunst
- Department of Anaesthetics and Pain Medicine, King's College Hospital NHS Foundation Trust, London, United Kingdom; School of Cardiovascular Medicine and Metabolic Medicine and Sciences, King's College London, British Heart Foundation Centre of Excellence, Faculty of Life Sciences and Medicine, London, United Kingdom.
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Yeşiler Fİ, Akmatov N, Nurumbetova O, Beyazpınar DS, Şahintürk H, Gedik E, Zeyneloğlu P. Incidence of and Risk Factors for Prolonged Intensive Care Unit Stay After Open Heart Surgery Among Elderly Patients. Cureus 2022; 14:e31602. [DOI: 10.7759/cureus.31602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/16/2022] [Indexed: 11/19/2022] Open
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Patel M, Gbadegesin RA. Update on prognosis driven classification of pediatric AKI. Front Pediatr 2022; 10:1039024. [PMID: 36340722 PMCID: PMC9634036 DOI: 10.3389/fped.2022.1039024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/03/2022] [Indexed: 11/29/2022] Open
Abstract
Acute kidney injury (AKI) affects a large proportion of hospitalized children and increases morbidity and mortality in this population. Initially thought to be a self-limiting condition with uniformly good prognosis, we now know that AKI can persist and progress to acute kidney disease (AKD) and chronic kidney disease (CKD). AKI is presently categorized by stage of injury defined by increase in creatinine, decrease in eGFR, or decrease in urine output. These commonly used biomarkers of acute kidney injury do not change until the injury is well established and are unable to detect early stage of the disease when intervention is likely to reverse injury. The kidneys have the ability to compensate and return serum creatinine to a normal or baseline level despite nephron loss in the setting of AKI possibly masking persistent dysfunction. Though these definitions are important, classifying children by their propensity for progression to AKD and CKD and defining these risk strata by other factors besides creatinine may allow for better prognosis driven discussion, expectation setting, and care for our patients. In order to develop a classification strategy, we must first be able to recognize children who are at risk for AKD and CKD based on modifiable and non-modifiable factors as well as early biomarkers that identify their risk of persistent injury. Prevention of initial injury, prompt evaluation and treatment if injury occurs, and mitigating further injury during the recovery period may be important factors in decreasing risk of AKD and CKD after AKI. This review will cover presently used definitions of AKI, AKD, and CKD, recent findings in epidemiology and risk factors for AKI to AKD to CKD progression, novel biomarkers for early identification of AKI and AKI that may progress to CKD and future directions for improving outcome in children with AKI.
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Affiliation(s)
- Mital Patel
- Department of Pediatrics, Division of Pediatric Nephrology, Duke University, Durham, NC, United State
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19
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Hong L, Xu H, Ge C, Tao H, Shen X, Song X, Guan D, Zhang C. Prediction of low cardiac output syndrome in patients following cardiac surgery using machine learning. Front Med (Lausanne) 2022; 9:973147. [PMID: 36091676 PMCID: PMC9448978 DOI: 10.3389/fmed.2022.973147] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundThis study aimed to develop machine learning models to predict Low Cardiac Output Syndrome (LCOS) in patients following cardiac surgery using machine learning algorithms.MethodsThe clinical data of cardiac surgery patients in Nanjing First Hospital between June 2019 and November 2020 were retrospectively extracted from the electronic medical records. Six conventional machine learning algorithms, including logistic regression, support vector machine, decision tree, random forest, extreme gradient boosting and light gradient boosting machine, were employed to construct the LCOS predictive models with all predictive features (full models) and selected predictive features (reduced models). The discrimination of these models was evaluated by the area under the receiver operating characteristic curve (AUC) and the calibration of the models was assessed by the calibration curve. Shapley Additive explanation (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) were used to interpret the predictive models.ResultsData from 1,585 patients [982 (62.0%) were male, aged 18 to 88, 212 (13.4%) with LCOS] were employed to train and validate the LCOS models. Among the full models, the RF model (AUC: 0.909, 95% CI: 0.875–0.943; Sensitivity: 0.849, 95% CI: 0.724–0.933; Specificity: 0.835, 95% CI: 0.796–0.869) and the XGB model (AUC: 0.897, 95% CI: 0.859–0.935; Sensitivity: 0.830, 95% CI: 0.702–0.919; Specificity: 0.809, 95% CI: 0.768–0.845) exhibited well predictive power for LCOS. Eleven predictive features including left ventricular ejection fraction (LVEF), first post-operative blood lactate (Lac), left ventricular diastolic diameter (LVDd), cumulative time of mean artery blood pressure (MABP) lower than 65 mmHg (MABP < 65 time), hypertension history, platelets level (PLT), age, blood creatinine (Cr), total area under curve above threshold central venous pressure (CVP) 12 mmHg and 16 mmHg, and blood loss during operation were used to build the reduced models. Among the reduced models, RF model (AUC: 0.895, 95% CI: 0.857–0.933; Sensitivity: 0.830, 95% CI: 0.702–0.919; Specificity: 0.806, 95% CI: 0.765–0.843) revealed the best performance. SHAP and LIME plot showed that LVEF, Lac, LVDd and MABP < 65 time significantly contributed to the prediction model.ConclusionIn this study, we successfully developed several machine learning models to predict LCOS after surgery, which may avail to risk stratification, early detection and management of LCOS after cardiac surgery.
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Affiliation(s)
- Liang Hong
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Huan Xu
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Chonglin Ge
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Hong Tao
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiao Shen
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiaochun Song
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Donghai Guan
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Donghai Guan,
| | - Cui Zhang
- Cardiovascular Intensive Care Unit, Department of Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- *Correspondence: Cui Zhang,
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