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Ryu JH, Jeon YT, Sim KM, Lee S, Oh AY, Koo CH. Role of oxygen reserve index monitoring in patients undergoing robot-assisted radical prostatectomy: a retrospective study. World J Urol 2024; 42:232. [PMID: 38613597 PMCID: PMC11015992 DOI: 10.1007/s00345-024-04938-x] [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: 10/31/2023] [Accepted: 03/20/2024] [Indexed: 04/15/2024] Open
Abstract
PURPOSE Robot-assisted radical prostatectomy (RARP) is a common surgical procedure for the treatment of prostate cancer. Although beneficial, it can lead to intraoperative hypoxia due to high-pressure pneumoperitoneum and Trendelenburg position. This study explored the use of oxygen reserve index (ORi) to monitor and predict hypoxia during RARP. METHODS A retrospective analysis was conducted on 329 patients who underwent RARP at the Seoul National University Bundang Hospital between July 2021 and March 2023. Various pre- and intraoperative variables were collected, including ORi values. The relationship between ORi values and hypoxia occurrence was assessed using receiver operating characteristic curves and logistic regression analysis. RESULTS Intraoperative hypoxia occurred in 18.8% of the patients. The receiver operating characteristic curve showed a satisfactory area under the curve of 0.762, with the ideal ORi cut-off value for predicting hypoxia set at 0.16. Sensitivity and specificity were 64.5% and 75.7%, respectively. An ORi value of < 0.16 and a higher body mass index were identified as independent risk factors of hypoxia during RARP. CONCLUSIONS ORi monitoring provides a non-invasive approach to predict intraoperative hypoxia during RARP, enabling early management. Additionally, the significant relationship between a higher body mass index and hypoxia underscores the importance of individualized patient assessment.
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Affiliation(s)
- Jung-Hee Ryu
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Young-Tae Jeon
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Kyu Man Sim
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea
| | - Soowon Lee
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea
| | - Ah-Young Oh
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Chang-Hoon Koo
- Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, 13620, Korea.
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, 03080, Korea.
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Jinghua W, Xiong N, Min L. The effect of inverse ratio ventilation on cardiopulmonary function in obese laparoscopic surgery patients: A systematic review and meta-analysis. Saudi J Anaesth 2024; 18:77-85. [PMID: 38313726 PMCID: PMC10833023 DOI: 10.4103/sja.sja_135_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 02/06/2024] Open
Abstract
This study aimed to evaluate the effect of inverse ratio ventilation (IRV) strategy on cardiopulmonary function in obese patients under general anesthesia. Databases such as China National Knowledge Infrastructure (CNKI), Wangfang, WeiP, Web of Science, the Cochrane Library, and PubMed were systematically searched. All randomized controlled trials' literature on IRV during laparoscopic surgery in obese patients under general anesthesia was collected. After data were extracted and cross-checked, Rev Man 5.3 software was used for meta-analysis. Finally, five randomized controlled clinical trials (RCTs) were included in the meta-analysis, with a total of 312 patients. Compared with the conventional ventilation group, the inspiratory peak pressure was lower at pneumoperitoneum 30 min and pneumoperitoneum 60 min; the PaO2 and oxygenation index were higher at pneumoperitoneum 60 min, and mean airway pressure was higher at pneumoperitoneum 30 min and pneumoperitoneum 60 min; the dynamic lung compliance was superior at pneumoperitoneum 30 min and pneumoperitoneum 60 min. IRV applied to laparoscopic surgery in obese patients under general anesthesia not only reduces peak airway pressure and improves intraoperative oxygenation index and PaO2 but also enhances mean airway pressure and dynamic lung compliance, which has a specific lung protective effect. It can be used as an option for the mechanical ventilation model in obese patients in clinical practice.
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Affiliation(s)
- Wu Jinghua
- Department of Anesthesia, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Niu Xiong
- Department of Anesthesia, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Li Min
- Department of Anesthesia, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
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Li W, Zhao J, Hao R, Wang S, Chen M, Liu H, Qi L, Hao Z. The Efficacy and Safety of Remimazolam Besylate Combined with Esketamine for Outpatient Colonoscopy: A Prospective, Randomized, Controlled Clinical Trial. Drug Des Devel Ther 2023; 17:2875-2887. [PMID: 37746114 PMCID: PMC10516197 DOI: 10.2147/dddt.s425860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/10/2023] [Indexed: 09/26/2023] Open
Abstract
Purpose Evaluate the efficacy and safety of remimazolam besylate combined with esketamine for outpatient colonoscopy. Patients and methods A total of 150 outpatients undergoing colonoscopy were randomized into two groups. A MOAA/S score ≤3 was maintained. The primary outcome was the rate of successful colonoscopy completion. Time indicators, hemodynamic parameters, the consumption of lidocaine, esketamine, propofol and remimazolam besylate, MOAA/S scores and bispectral index (BIS) values, the lowest SpO2, body movement, the use of rescue medication, endoscopist and patient satisfaction, recall of the procedure, mini-mental state examination (MMSE), fatigue level and adverse events were recorded. Results Procedure completion was equivalent between groups (P > 0.05). Both induction and awakening times were significantly shorter in the P group (P < 0.05). There were no significant differences in colonoscopy time and discharge time (P > 0.05). The lowest SpO2 was significantly lower in the P group, while the level of fatigue was higher (P < 0.05). Patient satisfaction was significantly higher in the R group (P < 0.05). Endoscopist satisfaction was significantly higher in the P group (P < 0.05). There were no significant differences in both systolic and diastolic blood pressure between groups except at T5 and T6 (P > 0.05). Both HR and RR were significantly lower in the P group from T3 to T5 (P < 0.05). BIS values were significantly lower in the P group from T3 to T5, while MOAA/S was significantly lower in the P group at T3 and T4 (P < 0.05). Pain on injection was significantly higher in the P group (P < 0.05). Conclusion Remimazolam besylate has a similar efficacy to propofol when combined with subanesthetic doses of esketamine during outpatient colonoscopy. Remimazolam besylate combined with esketamine resulted in less injection pain and more stable hemodynamics, although it prolonged induction and awakening time.
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Affiliation(s)
- Wei Li
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Jun Zhao
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Ruiping Hao
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Shujuan Wang
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Ming Chen
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Huijun Liu
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Le Qi
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
| | - Zaijun Hao
- Department of Anaesthesiology, Ordos Central Hospital, Ordos, Inner Mongolia Autonomous Region, People’s Republic of China
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Lin F, Gong X, Lei G, Wang X, Chen C, Zhang L. Predictive model of hypoxemia after shoulder arthroscopy: A retrospective observational study. Medicine (Baltimore) 2022; 101:e32275. [PMID: 36626446 PMCID: PMC9750654 DOI: 10.1097/md.0000000000032275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The study is aimed to establish a predictive model of hypoxemia after shoulder arthroscopy. The predictive model was based on a retrospective study with 756 patients who underwent shoulder arthroscopic surgery in Sichuan Orthopaedic Hospital from June 2019 to December 2020. Independent risk factors of hypoxemia in the post-anesthesia care unit (PACU) were screened out by the binary logistics regression and the primary predictive model was completed, which was evaluated by the receiver operating characteristic (ROC) curve and Hosmer-Lemeshow goodness-of-fit test. A separate cohort of 324 patients in the PACU from January 2021 to June 2021 was enrolled to validate the predictive model. Seven hundred fifty-six patients and 19 variables were enrolled in the binary logistics regression and 324 patients were validated by the primary predictive model. Logistics regression showed that application of irrigating solution ≥20 L, age, body mass index, and number of B-lines were independent risk factors of hypoxemia in the PACU (P < .05). The risk predictive model of hypoxemia in the PACU was established according to those factors. The model was validated by the Hosmer-Lemeshow test and the area under the curve of ROC was 0.823. The model area under the curve of external effect subject ROC was 0.870. The risk predictive model established in our study can predict the risk of hypoxemia in the PACU well and have good efficacy.
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Affiliation(s)
- Fei Lin
- Department of Anesthesia and Pain Medicine, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Xue Gong
- Department of Anesthesia, The Seventh People’s Hospital of Chengdu, Chengdu, China
| | - Guangchun Lei
- Department of Anesthesia and Pain Medicine, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Xiong Wang
- Department of Anesthesia and Pain Medicine, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Cheng Chen
- Department of Anesthesia and Pain Medicine, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Lan Zhang
- Department of Anesthesia, Sichuan Provincial Orthopedic Hospital (Chengdu Sports Hospital and Chengdu Research Institute for Sports Injury), Chengdu, China
- * Correspondence: Lan Zhang, Department of Anesthesia, Sichuan Provincial Orthopedic Hospital (Chengdu Sports Hospital and Chengdu Research Institute for Sports Injury), Chengdu 610041, PR China (e-mail: )
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Andualem AA, Yesuf KA. Incidence and associated factors of postoperative hypoxemia among adult elective surgical patients at Dessie Comprehensive Specialized Hospital: An observational study. Ann Med Surg (Lond) 2022; 78:103747. [PMID: 35734654 PMCID: PMC9207005 DOI: 10.1016/j.amsu.2022.103747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/07/2022] [Accepted: 05/08/2022] [Indexed: 10/28/2022] Open
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Romero J, Diaz JC, Alviz I, Briceno D, Zhang X, Palma E, Vue E, Bello J, Natale A, Di Biase L. Tumescent local anesthesia for subcutaneous implantable cardioverter-defibrillator implantation: An alternative for general anesthesia. HeartRhythm Case Rep 2021; 7:286-291. [PMID: 34026517 PMCID: PMC8134752 DOI: 10.1016/j.hrcr.2021.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- Jorge Romero
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Juan Carlos Diaz
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Isabella Alviz
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - David Briceno
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Xiaodong Zhang
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Eugen Palma
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Elizabeth Vue
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Juan Bello
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Andrea Natale
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas
| | - Luigi Di Biase
- Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
- Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas
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7
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Romero J, Bello J, Díaz JC, Grushko M, Velasco A, Zhang X, Briceno D, Gabr M, Purkayastha S, Alviz I, Polanco D, Della Rocca D, Krumerman A, Palma E, Lakkireddy D, Natale A, Di Biase L. Tumescent local anesthesia versus general anesthesia for subcutaneous implantable cardioverter-defibrillator implantation. Heart Rhythm 2021; 18:1326-1335. [PMID: 33684548 DOI: 10.1016/j.hrthm.2021.03.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 02/20/2021] [Accepted: 03/01/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Subcutaneous implantable cardioverter-defibrillator (S-ICD) is an effective alternative to transvenous implantable cardioverter-defibrillator. General anesthesia (GA) is considered the standard sedation approach because of the pain caused by the manipulation of subcutaneous tissue with S-ICD implantation. However, GA carries several limitations, including additional risk of adverse events, prolonged in-room times, and increased costs. OBJECTIVE The purpose of this study was to define the effectiveness and safety of tumescent local anesthesia (TLA) in comparison to GA in patients undergoing S-ICD implantation. METHODS We performed a prospective, nonrandomized, controlled, multicenter study of patients referred for S-ICD implantation between 2019 and 2020. Patients were allocated to either TLA or GA on the basis of patient's preferences and/or anesthesia service availability. TLA was prepared using lidocaine, epinephrine, sodium bicarbonate, and sodium chloride. All patients provided written informed consent, and the institutional review board at each site provided approval for the study. RESULTS Sixty patients underwent successful S-ICD implantation from July 2019 to November 2020. Thirty patients (50%) received TLA, and the rest GA. There were no differences between groups with regard to baseline characteristics. In-room and procedural times were significantly shorter with TLA (107.6 minutes vs 186 minutes; P < .0001 and 53.2 minutes vs 153.7 minutes; P < .0001, respectively). Pain was reported less frequently by patients who received TLA. The use of opioids was significantly reduced in patients who received TLA (23% vs 62%; P = .002). CONCLUSION TLA is an effective and safe alternative to GA in S-ICD implantation. The use of TLA is associated with shorter in-room and procedural times, less postprocedural pain, and reduced usage of opioids and acetaminophen for analgesia.
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Affiliation(s)
- Jorge Romero
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Juan Bello
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | | | - Michael Grushko
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Alejandro Velasco
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Xiaodong Zhang
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - David Briceno
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Mohamed Gabr
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Sutopa Purkayastha
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Isabella Alviz
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Dalvert Polanco
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | | | - Andrew Krumerman
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | - Eugen Palma
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York
| | | | - Andrea Natale
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York; Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas
| | - Luigi Di Biase
- Cardiac Arrhythmia Center, Montefiore-Einstein Center for Heart and Vascular Care, Division of Cardiology, Department of Medicine, Albert Einstein College of Medicine, New York, New York; Texas Cardiac Arrhythmia Institute, St. David's Medical Center, Austin, Texas.
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Laffin AE, Kendale SM, Huncke TK. Severity and duration of hypoxemia during outpatient endoscopy in obese patients: a retrospective cohort study. Can J Anaesth 2020; 67:1182-1189. [DOI: 10.1007/s12630-020-01737-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 04/03/2020] [Accepted: 06/02/2020] [Indexed: 10/24/2022] Open
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Kim KM, Choi JJ, Lee D, Jung WS, Kim SB, Kwak HJ. Effects of ventilatory strategy on arterial oxygenation and respiratory mechanics in overweight and obese patients undergoing posterior spine surgery. Sci Rep 2019; 9:16638. [PMID: 31719658 PMCID: PMC6851094 DOI: 10.1038/s41598-019-53194-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Accepted: 10/29/2019] [Indexed: 11/23/2022] Open
Abstract
Prolonged inspiratory to expiratory (I:E) ratio ventilation may improve arterial oxygenation or gas exchange and respiratory mechanics in patients with obesity. We performed a randomised study to compare the effects of the conventional ratio ventilation (CRV) of 1:2 and the equal ratio ventilation (ERV) of 1:1 on arterial oxygenation and respiratory mechanics during spine surgery in overweight and obese patients. Fifty adult patients with a body mass index of ≥25 kg/m2 were randomly allocated to receive an I:E ratio either l:2 (CRV; n = 25) or 1:1 (ERV; n = 25). Arterial oxygenation and respiratory mechanics were recorded in the supine position, and at 30 minutes and 90 minutes after placement in the prone position. The changes in partial arterial oxygen pressure (PaO2) over time did not differ between the groups. The changes in partial arterial carbon dioxide pressure over time were significantly different between the two groups (P = 0.040). The changes in mean airway pressure (Pmean) over time were significantly different between the two groups (P = 0.044). Although ERV provided a significantly higher Pmean than CRV during surgery, the changes in PaO2 did not differ between the two groups.
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Affiliation(s)
- Kyung Mi Kim
- Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jung Ju Choi
- Department of Anesthesiology and Pain Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Dongchul Lee
- Department of Anesthesiology and Pain Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Wol Seon Jung
- Department of Anesthesiology and Pain Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Su Bin Kim
- Department of Anesthesiology and Pain Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Hyun Jeong Kwak
- Department of Anesthesiology and Pain Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.
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Multimodal non-invasive monitoring to apply an open lung approach strategy in morbidly obese patients during bariatric surgery. J Clin Monit Comput 2019; 34:1015-1024. [PMID: 31654282 DOI: 10.1007/s10877-019-00405-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 10/14/2019] [Indexed: 01/20/2023]
Abstract
To evaluate the use of non-invasive variables for monitoring an open-lung approach (OLA) strategy in bariatric surgery. Twelve morbidly obese patients undergoing bariatric surgery received a baseline protective ventilation with 8 cmH2O of positive-end expiratory pressure (PEEP). Then, the OLA strategy was applied consisting in lung recruitment followed by a decremental PEEP trial, from 20 to 8 cmH2O, in steps of 2 cmH2O to find the lung's closing pressure. Baseline ventilation was then resumed setting open lung PEEP (OL-PEEP) at 2 cmH2O above this pressure. The multimodal non-invasive variables used for monitoring OLA consisted in pulse oximetry (SpO2), respiratory compliance (Crs), end-expiratory lung volume measured by a capnodynamic method (EELVCO2), and esophageal manometry. OL-PEEP was detected at 15.9 ± 1.7 cmH2O corresponding to a positive end-expiratory transpulmonary pressure (PL,ee) of 0.9 ± 1.1 cmH2O. ROC analysis showed that SpO2 was more accurate (AUC 0.92, IC95% 0.87-0.97) than Crs (AUC 0.76, IC95% 0.87-0.97) and EELVCO2 (AUC 0.73, IC95% 0.64-0.82) to detect the lung's closing pressure according to the change of PL,ee from positive to negative values. Compared to baseline ventilation with 8 cmH2O of PEEP, OLA increased EELVCO2 (1309 ± 517 vs. 2177 ± 679 mL) and decreased driving pressure (18.3 ± 2.2 vs. 10.1 ± 1.7 cmH2O), estimated shunt (17.7 ± 3.4 vs. 4.2 ± 1.4%), lung strain (0.39 ± 0.07 vs. 0.22 ± 0.06) and lung elastance (28.4 ± 5.8 vs. 15.3 ± 4.3 cmH2O/L), respectively; all p < 0.0001. The OLA strategy can be monitored using noninvasive variables during bariatric surgery. This strategy decreased lung strain, elastance and driving pressure compared with standard protective ventilatory settings.Clinical trial number NTC03694665.
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Geng W, Tang H, Sharma A, Zhao Y, Yan Y, Hong W. An artificial neural network model for prediction of hypoxemia during sedation for gastrointestinal endoscopy. J Int Med Res 2019; 47:2097-2103. [PMID: 30913936 PMCID: PMC6567776 DOI: 10.1177/0300060519834459] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE This study was designed to assess clinical predictors of hypoxemia and develop an artificial neural network (ANN) model for prediction of hypoxemia during sedation for gastrointestinal endoscopy examination. METHODS A total of 220 patients were enrolled in this prospective observational study. Data on demographics, chronic concomitant disease information, neck circumference, thyromental distance and anaesthetic dose were collected and statistically analysed. RESULTS Univariate analysis indicated that body mass index (BMI), habitual snoring and neck circumference were associated with hypoxemia. An ANN model was developed with three variables (BMI, habitual snoring and neck circumference). The area under the receiver operating characteristic curve for the ANN model was 0.80. CONCLUSIONS The ANN model developed here, comprising BMI, habitual snoring and neck circumference, was useful for prediction of hypoxemia during sedation for gastrointestinal endoscopy.
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Affiliation(s)
- Wujun Geng
- 1 Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hongli Tang
- 1 Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Apurb Sharma
- 2 Department of Anesthesia, Pain Management and Critical Care, Nepal Mediciti Hospital, Karyabinayak, Nepal
| | - Yizhou Zhao
- 3 Department of Clinical Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ye Yan
- 4 Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wandong Hong
- 4 Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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Zhu M, Wang J, Wang Q, Xie K, Wang M, Qian C, Deng Y, Han L, Gao Y, Ni Z, Xia Q, Gu L. The Incidence and Risk Factors of Low Oxygenation After Orthotropic Liver Transplantation. Ann Transplant 2019; 24:139-146. [PMID: 30858349 PMCID: PMC6429984 DOI: 10.12659/aot.913716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background This study was designed to observe incidence and risk factors of low oxygenation after orthotropic liver transplantation (OLT). Material/Methods We retrospectively evaluated all adult patients who underwent living-donor OLT between January 1, 2017 and December 31, 2017. Postoperative low oxygenation was defined as PaO2/FiO2 <300 mmHg within 24 hours after surgery. Early acute kidney injury (AKI) after OLT was also defined when AKI was happened with 24 hours after operative. Results A total of 301 patients, aged 50.35±10.29 years were enrolled. Of these patients, 100 patients (33.2%) suffered postoperative low oxygenation (PaO2/FiO2=251.80±35.84). Compared with the normal oxygenation group, body mass index (BMI) (24.48±3.53 versus 23.1±3.27 kg/m2, P=0.001), preoperative hemoglobin (115.79±29.27 versus 111.52±29.80 g/L, P=0.033), preoperative MELD (22.25±6.54 versus 20.24±5.74, P=0.008), and intraoperative urinary volume (1.25 [0.76, 1.89] versus 2.04 [1.49, 3.68] mL/kg/h, P=0.003) were higher in low oxygenation group. There were more cases of earlier AKIs that occurred after OLT in low oxygenation patients than that in normal group (47% versus 23.4%, P<0.001). Logistic analysis showed that the preoperative BMI (hazard ration [HR]=1.107, [1.010, 1.212], P=0.029) and early AKI after OLT (HR=2.115, [1.161, 3.855], P=0.014) were independent risk factors for postoperative low oxygenation. Conclusions The incidence of postoperative low oxygenation after liver transplantation in adults was 33.2%. BMI and early AKI after OLT were correlated with postoperative hypoxemia.
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Affiliation(s)
- Mingli Zhu
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Jiemin Wang
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Qiaoling Wang
- Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Kewei Xie
- Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Minzhou Wang
- Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Cheng Qian
- Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Yuxiao Deng
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Longzhi Han
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Yuan Gao
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Zhaohui Ni
- Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Qiang Xia
- Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
| | - Leyi Gu
- Department of Nephrology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China (mainland)
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Geng W, Jia D, Wang Y, Jin S, Ren Y, Liang D, Zheng A, Tang H, Basharat Z, Zimmer V, Stock S, Zippi M, Hong W. A prediction model for hypoxemia during routine sedation for gastrointestinal endoscopy. Clinics (Sao Paulo) 2018; 73:e513. [PMID: 30462756 PMCID: PMC6218956 DOI: 10.6061/clinics/2018/e513] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 06/04/2018] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVES The current study was designed to assess the clinical predictors of hypoxemia and to develop a multivariable, predictive model for hypoxemia during routine gastrointestinal endoscopy. METHODS In total, 308 patients were enrolled in the analysis. Demographic data, concurrent chronic disease information, anesthetic dose and Modified Observer's Assessment of Alertness/Sedation (MOAA/S) scores were collected and analyzed statistically. RESULTS Multivariate logistic regression indicated that age (OR: 1.04; 95%CI 1.01-1.08), body mass index (BMI) (OR: 1.12; 95%CI: 1.02-1.21) and habitual snoring (OR: 3.71; 95%CI: 1.62-8.48) were independently associated with hypoxemia. A logistic regression function (LR model) was developed to predict hypoxemia considering the parameters of -7.73+0.04 age (years), +0.11 BMI, and +1.31 habitual snoring (yes or no). The area under the receiver operating characteristic (ROC) curve for the LR model was 0.76. CONCLUSIONS The LR model, consisting of age, BMI and habitual snoring, was a useful predictor of hypoxemia during routine sedation for gastrointestinal endoscopy.
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Affiliation(s)
- Wujun Geng
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
- *Corresponding author. E-mail:
| | - Danyu Jia
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Yichuan Wang
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Shenhui Jin
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Yelong Ren
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Dongdong Liang
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Aote Zheng
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Hongli Tang
- Department of Anesthesiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
- *Corresponding author. E-mail:
| | - Zarrin Basharat
- Microbiology & Biotechnology Research Lab, Department of Environmental Sciences, Fatima Jinnah Women University, 46000 Rawalpindi, Pakistan
- *Corresponding author. E-mail:
| | - Vincent Zimmer
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany
- Department of Medicine, Marienhausklinik St. Josef Kohlhof, Neunkirchen, Germany
| | - Simon Stock
- Department of Surgery, World Mate Emergency Hospital, Battambang, Cambodia
| | - Maddalena Zippi
- Unit of Gastroenterology and Digestive Endoscopy, Sandro Pertini Hospital, Rome, Italy
| | - Wandong Hong
- Department of Gastroenterology and Hepatology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
- *Corresponding author. E-mail:
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Ge H, Jiang Y, Jin Q, Wan L, Qian X, Zhang Z. Nomogram for the prediction of postoperative hypoxemia in patients with acute aortic dissection. BMC Anesthesiol 2018; 18:146. [PMID: 30342471 PMCID: PMC6195757 DOI: 10.1186/s12871-018-0612-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 10/09/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Postoperative hypoxemia is quite common in patients with acute aortic dissection (AAD) and is associated with poor clinical outcomes. However, there is no method to predict this potentially life-threatening complication. The study aimed to develop a regression model in patients with AAD to predict postoperative hypoxemia, and to validate it in an independent dataset. METHODS All patients diagnosed with AAD from December 2012 to December 2017 were retrospectively screened for potential eligibility. Preoperative and intraoperative variables were included for analysis. Logistic regression model was fit by using purposeful selection procedure. The original dataset was split into training and validating datasets by 4:1 ratio. Discrimination and calibration of the model was assessed in the validating dataset. A nomogram was drawn for clinical utility. RESULTS A total of 211 patients, involving 168 in non-hypoxemia and 43 in hypoxemia group, were included during the study period (incidence: 20.4%). Duration of mechanical ventilation (MV) was significantly longer in the hypoxemia than non-hypoxemia group (41(10.5140) vs. 12(3.75,70.25) hours; p = 0.002). There was no difference in the hospital mortality rate between the two groups. The purposeful selection procedure identified 8 variables including hematocrit (odds ratio [OR]: 0.89, 95% confidence interval [CI]: 0.80 to 0.98, p = 0.011), PaO2/FiO2 ratio (OR: 0.99, 95% CI: 0.99 to 1.00, p = 0.011), white blood cell count (OR: 1.21, 95% CI: 1.06 to 1.40, p = 0.008), body mass index (OR: 1.32, 95% CI: 1.15 to 1.54; p = 0.000), Stanford type (OR: 0.22, 95% CI: 0.06 to 0.66; p = 0.011), pH (OR: 0.0002, 95% CI: 2*10- 8 to 0.74; p = 0.048), cardiopulmonary bypass time (OR: 0.99, 95% CI: 0.98 to 1.00; p = 0.031) and age (OR: 1.03, 95% CI: 0.99 to 1.08; p = 0.128) to be included in the model. In an independent dataset, the area under curve (AUC) of the prediction model was 0.869 (95% CI: 0.802 to 0.936). The calibration was good by visual inspection. CONCLUSIONS The study developed a model for the prediction of postoperative hypoxemia in patients undergoing operation for AAD. The model showed good discrimination and calibration in an independent dataset that was not used for model training.
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Affiliation(s)
- Huiqing Ge
- 0000 0004 1759 700Xgrid.13402.34Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ye Jiang
- 0000 0004 1759 700Xgrid.13402.34Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qijun Jin
- 0000 0004 1759 700Xgrid.13402.34Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Linjun Wan
- 0000 0004 1759 700Xgrid.13402.34Department of Respiratory Care, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ximing Qian
- 0000 0004 1759 700Xgrid.13402.34Department of Cardiovascular Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhongheng Zhang
- 0000 0004 1759 700Xgrid.13402.34Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No 3, East Qingchun Road, Hangzhou, 310016 Zhejiang Province China
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15
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Lundberg SM, Nair B, Vavilala MS, Horibe M, Eisses MJ, Adams T, Liston DE, Low DKW, Newman SF, Kim J, Lee SI. Explainable machine-learning predictions for the prevention of hypoxaemia during surgery. Nat Biomed Eng 2018; 2:749-760. [PMID: 31001455 PMCID: PMC6467492 DOI: 10.1038/s41551-018-0304-0] [Citation(s) in RCA: 633] [Impact Index Per Article: 105.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 08/31/2018] [Indexed: 12/21/2022]
Abstract
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time during general anaesthesia, predicts the risk of hypoxemia and provides explanations of the risk factors. The system, which was trained on minute-by-minute data from the electronic medical records of over fifty thousand surgeries, improved the performance of anaesthesiologists when providing interpretable hypoxemia risks and contributing factors. The explanations for the predictions are broadly consistent with the literature and with prior knowledge from anaesthesiologists. Our results suggest that if anaesthesiologists currently anticipate 15% of hypoxemia events, with this system's assistance they would anticipate 30% of them, a large portion of which may benefit from early intervention because they are associated with modifiable factors. The system can help improve the clinical understanding of hypoxemia risk during anaesthesia care by providing general insights into the exact changes in risk induced by certain patient or procedure characteristics.
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Affiliation(s)
- Scott M Lundberg
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Bala Nair
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Center for Perioperative and Pain initiatives in Quality Safety Outcome, University of Washington, Seattle, WA, USA
- Harborview Injury Prevention and Research Center, University of Washington, Seattle, WA, USA
| | - Monica S Vavilala
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Center for Perioperative and Pain initiatives in Quality Safety Outcome, University of Washington, Seattle, WA, USA
- Harborview Injury Prevention and Research Center, University of Washington, Seattle, WA, USA
| | - Mayumi Horibe
- Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Michael J Eisses
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Seattle Children's Hospital, Seattle, WA, USA
| | - Trevor Adams
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Seattle Children's Hospital, Seattle, WA, USA
| | - David E Liston
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Seattle Children's Hospital, Seattle, WA, USA
| | - Daniel King-Wai Low
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Seattle Children's Hospital, Seattle, WA, USA
| | - Shu-Fang Newman
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Center for Perioperative and Pain initiatives in Quality Safety Outcome, University of Washington, Seattle, WA, USA
| | - Jerry Kim
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
- Seattle Children's Hospital, Seattle, WA, USA
| | - Su-In Lee
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
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16
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Regarding "Does Increased Body Mass Index Influence Outcomes After Rotator Cuff Repair?". Arthroscopy 2018; 34:1754. [PMID: 29804599 DOI: 10.1016/j.arthro.2018.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 04/04/2018] [Indexed: 02/02/2023]
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17
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Kendall MC, Gorgone M. Surgical site infection following open reduction and internal fixation of a closed ankle fractures: A retrospective multicenter cohort study. Int J Surg 2017; 49:60-61. [PMID: 29248623 DOI: 10.1016/j.ijsu.2017.12.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Accepted: 12/10/2017] [Indexed: 02/05/2023]
Affiliation(s)
- Mark C Kendall
- Department of Anesthesiology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, United States.
| | - Michelle Gorgone
- Department of Anesthesiology, Rhode Island Hospital, Warren Alpert Medical School of Brown University, United States
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18
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Kendall MC, Robbins ZM, Cohen A, Minn M, Benzuly SE, Triebwasser AS, McCormick ZL, Gorgone M. Selected highlights in clinical anesthesia research. J Clin Anesth 2017; 43:90-97. [DOI: 10.1016/j.jclinane.2017.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 10/10/2017] [Accepted: 10/13/2017] [Indexed: 12/17/2022]
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19
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Whitten I, De Oliveira GS. Selection of anesthesia technique: Not always the right reasons or the right outcomes…. J Clin Anesth 2017; 42:49-50. [PMID: 28810206 DOI: 10.1016/j.jclinane.2017.08.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2017] [Accepted: 08/05/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Ira Whitten
- Rhode Island Hospital, Brown University, Providence, USA
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