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Fjeld KJ, Esteves AM, Ding RJ, Bates AM, Fay KA, Roginski MA. Hemodynamic Collapse After Intubation in Critical Care Transport. PREHOSP EMERG CARE 2024:1-6. [PMID: 39190850 DOI: 10.1080/10903127.2024.2396949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 07/29/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024]
Abstract
OBJECTIVES The aim of this study was to describe the incidence of and modifiable risk factors for post intubation hemodynamic collapse in prehospital and interfacility critical care transport. METHODS Single center retrospective chart review of adult patients (≥18 years) intubated by a critical care transport team between January 2017 and May 2023. The primary outcome was incidence of hemodynamic collapse (systolic blood pressure <90 mmHg for greater than 30 min, new vasopressor requirement, vasopressor dose increase, fluid bolus of >15 mL/kg, systolic blood pressure <65 mmHg at least once, or cardiac arrest). Secondary outcomes included post intubation hypoxia, as well as association of hemodynamic collapse with potentially modifiable risk factors including pre intubation shock index, pre intubation heart rate, pre intubation systolic blood pressure, and induction agent. RESULTS Three hundred and thirty-three patients were included. Ninety-seven (29.1%) patients experienced hemodynamic collapse and 36 (10.8%) of patients experienced life threatening hemodynamic collapse. Pre intubation shock index >1 (OR 3.18, 95% CI 1.15-8.74) was associated with post intubation hemodynamic collapse. Choice of induction agent, fluid bolus prior to intubation, location of intubation, presence of traumatic injury, and age were not correlated with risk of hemodynamic collapse. The number of intubation attempts and methods of intubation were similar between groups. CONCLUSIONS Hemodynamic collapse and life-threatening hemodynamic collapse after intubation occurred frequently in this critical care transport cohort. Shock index greater than one was associated with significantly higher risk of hemodynamic collapse and life-threatening hemodynamic collapse.
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Affiliation(s)
- Kalle J Fjeld
- Department of Emergency Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire
| | - Alyson M Esteves
- Inpatient Pharmacy, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire
| | - Ryan J Ding
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Alissa M Bates
- Department of Emergency Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire
| | - Kayla A Fay
- Department of Emergency Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire
| | - Matthew A Roginski
- Department of Emergency Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
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Tang W, Liu H, Zhang Z, Lyu W, Wei P, Zhou H, Zhou J, Li J. Effect of phenylephrine rescue injection on hypotension after spinal anaesthesia for caesarean delivery when guided by both heart rate and SBP during an early warning window: A randomised controlled trial. Eur J Anaesthesiol 2024; 41:421-429. [PMID: 38420866 DOI: 10.1097/eja.0000000000001977] [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: 03/02/2024]
Abstract
BACKGROUND Spinal anaesthesia is now the most common technique for caesarean delivery. However, because of the intermittent nature of noninvasive blood pressure (NIBP) measurements, maternal blood pressure may become hypotensive between the measurements. There is thus an inbuilt delay before the anaesthesiologist can intervene to counteract the hypotension. Based on the principle that changes in blood pressure can induce compensatory changes in the heart rate (HR), combining the NIBP with real-time HR, we designed two warning windows to predict hypotension and hypertension. OBJECTIVE To evaluate whether phenylephrine administration guided by these warning windows would help maintain haemodynamic stability. SETTING A teaching hospital. DESIGN A randomised controlled trial. PATIENTS One hundred and ten pregnant women scheduled for elective caesarean delivery were enrolled, from which, after exclusions, 86 were eligible for the study. INTERVENTIONS All eligible patients received a continuous intravenous infusion of phenylephrine as soon as spinal anaesthesia was initiated. Thereafter, patients were randomly assigned to two groups. In the test group (Win-Group): rescue phenylephrine administration was triggered by an early warning window of HR above 100 beats per minute (bpm) and SBP 90 to 110 mmHg; pausing the infusion phenylephrine was triggered by a HR lower than 60 bpm and SBP greater than 90 mmHg. In the control group, phenylephrine was guided by BP only when it appeared on the monitor: SBP less than 90 mmHg was the trigger for administering rescue phenylephrine; SBP greater than 110 mmHg was the trigger for pausing the phenylephrine infusion. MAIN OUTCOME MEASURES The primary outcome was incidence of hypotension. Secondary outcomes were the incidence of hypertension and other adverse haemodynamic events. RESULTS The incidence of hypotension was significantly lower in the Win-Group than in the BP-Group (27.8 vs. 66.7%, P = 0.001). The minimum SBP was significantly higher in Win-Group than in BP-Group (93.9 ± 9.49 vs. 86.7 ± 11.16 mmHg, P = 0.004). There was no significant difference in the incidence of hypertension between groups. CONCLUSION After spinal anaesthesia for caesarean delivery, when phenylephrine infusion is guided by HR along with BP from a warning window it effectively reduces the incidence of hypotension without any significant effect on incidence of hypertension. TRIAL REGISTRATION Chictr.org.cn; Identifier: ChiCTR 2100041812.
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Affiliation(s)
- Wenxi Tang
- From the Department of Anesthesiology (WT, ZZ, WL, PW, HZ, JZ, JL) and Department of Obstetrics (HL), Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao 266035, PR China
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Waheed S, Razzak JA, Khan N, Raheem A, Mian AI. Derivation of the Difficult Airway Physiological Score (DAPS) in adults undergoing endotracheal intubation in the emergency department. BMC Emerg Med 2024; 24:40. [PMID: 38468215 DOI: 10.1186/s12873-024-00958-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 02/29/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Prediction of serious outcomes among patients with physiological instability is crucial in airway management. In this study, we aim to develop a score to predict serious outcomes following intubation in critically ill adults with physiological instability by using clinical and laboratory parameters collected prior to intubation. METHOD This single-center analytical cross-sectional study was conducted in the Emergency Department from 2016 to 2020. The airway score was derived using the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) methodology. To gauge model's performance, the train-test split technique was utilized. The discrete random number generation approach was used to divide the dataset into two groups: development (training) and validation (testing). The validation dataset's instances were used to calculate the final score, and its validity was measured using ROC analysis and area under the curve (AUC). By computing the Youden's J statistic using the metrics sensitivity, specificity, positive predictive value, and negative predictive value, the discriminating factor of the additive score was determined. RESULTS The mean age of the 1021 patients who needed endotracheal intubations was 52.2 years (± 17.5), and 632 (62%) of them were male. In the development dataset, there were 527 (64.9%) physiologically difficult airways, 298 (36.7%) post-intubation hypotension, 124 (12%) cardiac arrest, 347 (42.7%) shock index > 0.9, and 456 [56.2%] instances of pH < 7.3. On the contrary, in the validation dataset, there were 143 (68.4%) physiologically difficult airways, 33 (15.8%) post-intubation hypotension, 41 (19.6%) cardiac arrest, 87 (41.6%) shock index > 0.9, and 121 (57.9%) had pH < 7.3, respectively. There were 12 variables in the difficult airway physiological score (DAPS), and a DAPS of 9 had an area under the curve of 0.857. The accuracy of DAPS was 77%, the sensitivity was 74%, the specificity was 83.3%, and the positive predictive value was 91%. CONCLUSION DAPS demonstrated strong discriminating ability for anticipating physiologically challenging airways. The proposed model may be helpful in the clinical setting for screening patients who are at high risk of deterioration.
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Affiliation(s)
- Shahan Waheed
- Department of Emergency Medicine, Aga Khan University & Hospital (AKUH), Karachi, Pakistan.
| | - Junaid Abdul Razzak
- Department of Emergency Medicine, New York Presbyterian Weill Cornell Medicine, New York, USA
| | - Nadeemullah Khan
- Department of Emergency Medicine, Aga Khan University & Hospital (AKUH), Karachi, Pakistan
| | - Ahmed Raheem
- Department of Emergency Medicine, Aga Khan University & Hospital (AKUH), Karachi, Pakistan
| | - Asad Iqbal Mian
- Department of Emergency Medicine, Aga Khan University & Hospital (AKUH), Karachi, Pakistan
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Pannu A. Circulatory shock in adults in emergency department. Turk J Emerg Med 2023. [PMID: 37529784 PMCID: PMC10389095 DOI: 10.4103/2452-2473.367400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Circulatory shock is a common condition that carries high morbidity and mortality. This review aims to update the critical steps in managing common types of shock in adult patients admitted to medical emergency and intensive care units. A literature review was performed by searching PubMed, EMBASE Ovid, and Cochrane Library, using the following search items: ("shock" OR "circulatory shock" OR "septic shock" OR "cardiogenic shock") AND ("management" OR "treatment" OR "resuscitation"). The review emphasizes prompt shock identification with tissue hypoperfusion, knowledge of the underlying pathophysiological mechanism, initial fluid resuscitation with balanced crystalloids, norepinephrine as the preferred vasopressor in septic and profound cardiogenic shock, and tailored intervention addressing specific etiologies. Point-of-care ultrasound may help evaluate an undifferentiated shock and determine fluid responsiveness. The approach to septic shock is improving; however, confirmatory studies are required for many existing (e.g., amount of initial fluids and steroids) and emerging (e.g., angiotensin II) therapies. Knowledge gaps and wide variations persist in managing cardiogenic shock that needs urgent addressing to improve outcomes.
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Multifactorial Shock: A Neglected Situation in Polytrauma Patients. J Clin Med 2022; 11:jcm11226829. [PMID: 36431304 PMCID: PMC9698644 DOI: 10.3390/jcm11226829] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 11/22/2022] Open
Abstract
Background: Shock after traumatic injury is likely to be hypovolemic, but different types of shock (distributive shock, obstructive shock, or cardiogenic shock) can occur in combination, known as multifactorial shock. Multifactorial shock is a neglected area of study, and is only reported sporadically. Little is known about the incidence, characteristics, and outcomes of multifactorial shock after polytrauma. Methods: A retrospective, observational, multicenter study was conducted in four Level I trauma centers involving 1051 polytrauma patients from June 2020 to April 2022. Results: The mean Injury Severity Score (ISS) was 31.1, indicating a severely injured population. The most common type of shock in the early phase after polytrauma (≤48 h) is hypovolemic shock (83.2%), followed by distributive shock (14.4%), obstructive shock (8.7%), and cardiogenic shock (3.8%). In the middle phase after polytrauma (>48 h or ≤14 days), the most common type of shock is distributive shock (70.7%), followed by hypovolemic shock (27.2%), obstructive shock (9.9%), and cardiogenic shock (7.2%). Multifactorial shock accounted for 9.7% of the entire shock population in the early phase and 15.2% in the middle phase. In total, seven combinations of multifactorial shock were described. Patients with multifactorial shock have a significantly higher complication rate and mortality than those with single-factor shock. Conclusions: This study characterizes the incidence of various types of shock in different phases after polytrauma and emphasizes that different types of shock can occur simultaneously or sequentially in polytrauma patients. Multifactorial shock has a relatively high incidence and mortality in polytrauma patients, and trauma specialists should be alert to the possibility of their occurrence.
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Xu F, Zhang L, Huang T, Han D, Yang R, Zheng S, Feng A, Huang L, Yin H, Lyu J. Effects of growth trajectory of shock index within 24 h on the prognosis of patients with sepsis. Front Med (Lausanne) 2022; 9:898424. [PMID: 36072946 PMCID: PMC9441919 DOI: 10.3389/fmed.2022.898424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 08/02/2022] [Indexed: 01/09/2023] Open
Abstract
BackgroundSepsis is a serious disease with high clinical morbidity and mortality. Despite the tremendous advances in medicine and nursing, treatment of sepsis remains a huge challenge. Our purpose was to explore the effects of shock index (SI) trajectory changes on the prognosis of patients within 24 h after the diagnosis of sepsis.MethodsThis study was based on Medical Information Mart for Intensive Care IV (MIMIC- IV). The effects of SI on the prognosis of patients with sepsis were investigated using C-index and restricted cubic spline (RCS). The trajectory of SI in 24 h after sepsis diagnosis was classified by latent growth mixture modeling (LGMM). Cox proportional hazard model, double robust analysis, and subgroup analysis were conducted to investigate the influence of SI trajectory on in-hospital death and secondary outcomes.ResultsA total of 19,869 patients were eventually enrolled in this study. C-index showed that SI had a prognostic value independent of Sequential Organ Failure Assessment for patients with sepsis. Moreover, the results of RCS showed that SI was a prognostic risk factor. LGMM divided SI trajectory into seven classes, and patients with sepsis in different classes had notable differences in prognosis. Compared with the SI continuously at a low level of 0.6, the SI continued to be at a level higher than 1.0, and the patients in the class whose initial SI was at a high level of 1.2 and then declined had a worse prognosis. Furthermore, the trajectory of SI had a higher prognostic value than the initial SI.ConclusionBoth initial SI and trajectory of SI were found to be independent factors that affect the prognosis of patients with sepsis. Therefore, in clinical treatment, we should closely monitor the basic vital signs of patients and arrive at appropriate clinical decisions on basis of their change trajectory.
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Affiliation(s)
- Fengshuo Xu
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Nosocomial Infection Management, Luoyang Orthopedic-Traumatological Hospital, Orthopedics Hospital of Henan Province, Zhengzhou, China
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Luming Zhang
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Tao Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Didi Han
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Rui Yang
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Shuai Zheng
- School of Public Health, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Aozi Feng
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Liying Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Haiyan Yin
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Haiyan Yin,
| | - Jun Lyu
- Department of Intensive Care Unit, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, China
- *Correspondence: Jun Lyu,
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Pazderka PA, Mastenbrook J, Billian J, Caulfield R, Khan F, Ekblad G, Williams M, Hoyle J. Quality Evaluation of a Checklist for Intubation Preparation in Graduate Medical Education. Cureus 2022; 14:e25830. [PMID: 35836462 PMCID: PMC9273194 DOI: 10.7759/cureus.25830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2022] [Indexed: 11/05/2022] Open
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Russotto V, Rahmani LS, Parotto M, Bellani G, Laffey JG. Tracheal intubation in the critically ill patient. Eur J Anaesthesiol 2022; 39:463-472. [PMID: 34799497 DOI: 10.1097/eja.0000000000001627] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Tracheal intubation is among the most commonly performed and high-risk procedures in critical care. Indeed, 45% of patients undergoing intubation experience at least one major peri-intubation adverse event, with cardiovascular instability being the most common event reported in 43%, followed by severe hypoxemia in 9% and cardiac arrest in 3% of cases. These peri-intubation adverse events may expose patients to a higher risk of 28-day mortality, and they are more frequently observed with an increasing number of attempts to secure the airway. The higher risk of peri-intubation complications in critically ill patients, compared with the anaesthesia setting, is the consequence of their deranged physiology (e.g. underlying respiratory failure, shock and/or acidosis) and, in this regard, airway management in critical care has been defined as "physiologically difficult". In recent years, several randomised studies have investigated the most effective preoxy-genation strategies, and evidence for the use of positive pressure ventilation in moderate-to-severe hypoxemic patients is established. On the other hand, evidence on interventions to mitigate haemodynamic collapse after intubation has been elusive. Airway management in COVID-19 patients is even more challenging because of the additional risk of infection for healthcare workers, which has influenced clinical choices in this patient group. The aim of this review is to provide an update of the evidence for intubation in critically ill patients with a focus on understanding peri-intubation risks and evaluating interventions to prevent or mitigate adverse events.
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Affiliation(s)
- Vincenzo Russotto
- From the Department of Anesthesia and Intensive Care, University Hospital San Luigi Gonzaga, University of Turin, Italy (VR), Department of Emergency and Intensive Care, University Hospital San Gerardo, Monza (GB), University of Milano-Bicocca, Milan, Italy (GB), Department of Anaesthesiology, Critical Care and Pain Medicine, Children's Health Ireland at Temple Street, Dublin, Ireland (LSR), Department of Anesthesiology and Pain Medicine; Interdepartmental Division of Critical Care Medicine, University of Toronto (MP), Department of Anesthesia and Pain Management, Toronto General Hospital, Toronto, Canada (MP), Regenerative Medicine Institute at CURAM Centre for Medical Devices, School of Medicine, National University of Ireland (JGL) and Anaesthesia and Intensive Care Medicine, University Hospital Galway, Galway, Ireland (JGL) Correspondence to Vincenzo Russotto, Department of Anesthesia and Intensive Care, University Hospital San Luigi Gonzaga, Regione Gonzole, 10, 10043 Orbassano, Turin, Italy
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Kocaoğlu S, Çetinkaya HB. Use of age shock index in determining severity of illness in patients presenting to the emergency department with gastrointestinal bleeding. Am J Emerg Med 2021; 47:274-278. [PMID: 33993044 DOI: 10.1016/j.ajem.2021.05.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 04/24/2021] [Accepted: 05/02/2021] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVES This study aimed to make a comparison between classical shock index (SI), modified shock index (MSI), and age shock index (age SI) for predicting critical patients presenting to the emergency department (ED) with gastrointestinal bleeding (GIS). METHODS The study, which was planned retrospectively, consisted of patients diagnosed with GIS bleeding at the ED admission. Triage time vital signs were used to calculate SI, MSI, and age SI. These results were compared with intensive care admission, endoscopic/colonoscopic (E/C) intervention, blood transfusion, and mortality criteria, which we define as adverse outcomes. RESULTS The study included 151 patients. Seventy-nine (52.32%) of the patients had at least one adverse outcome. Of the 151 patients, 19 (12.58%) had ICU admission, 27 (17.88%) underwent endoscopic/colonoscopic (E/C) intervention, 68 (45.03%) received a blood transfusion, and 6 (3.97%) died. There was a significant difference between patients who had no adverse outcome and those who had at least one adverse outcome in terms of SI, age SI, and MSI. We performed ROC curve analyses to evaluate the diagnostic performances of all indices for predicting adverse outcomes. AUC (area under the curve) values for age SI was the highest (age SI AUC = 0.711, p < 0.001; SI AUC = 0.616; MSI AUC = 0.617). The performance of the age SI was significantly higher than the SI (p = 0.013) and the MSI (p = 0.024) for predicting adverse outcomes. The cut-off value for the age shock index was 45.12. CONCLUSIONS In patients with GIS bleeding, age SI, which can be easily calculated in triage, is more significant than SI and MSI for predicting the critical patient.
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Affiliation(s)
- Salih Kocaoğlu
- Department of Emergency Medicine, Balıkesir University Faculty of Medicine, Balıkesir, Turkey.
| | - Hasan Basri Çetinkaya
- Department of Emergency Medicine, Balıkesir University Faculty of Medicine, Balıkesir, Turkey
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Abstract
Purpose of Review This paper will evaluate the recent literature and best practices in airway management in critically ill patients. Recent Findings Cardiac arrest remains a common complication of intubation in these high-risk patients. Patients with desaturation or peri-intubation hypotension are at high risk of cardiac arrest, and each of these complications have been reported in up to half of all intubations in critically ill patient populations. Summary There have been significant advances in preoxygenation and devices available for performing laryngoscopy and rescue oxygenation. However, the risk of cardiovascular collapse remains concerningly high with few studies to guide therapeutic maneuvers to reduce this risk.
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Zhou CM, Xue Q, Liu P, Duan W, Wang Y, Tong J, Ji MH, Yang JJ. Construction of a predictive model of post-intubation hypotension in critically ill patients using multiple machine learning classifiers. J Clin Anesth 2021; 72:110279. [PMID: 33838535 DOI: 10.1016/j.jclinane.2021.110279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 11/25/2022]
Affiliation(s)
- Cheng-Mao Zhou
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
| | - Qiong Xue
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Panmiao Liu
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Wen Duan
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Ying Wang
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Jianhua Tong
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Mu-Huo Ji
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Jian-Jun Yang
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
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Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension. SENSORS 2020; 20:s20164575. [PMID: 32824073 PMCID: PMC7472016 DOI: 10.3390/s20164575] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 08/10/2020] [Accepted: 08/11/2020] [Indexed: 12/13/2022]
Abstract
Hypotensive events in the initial stage of anesthesia can cause serious complications in the patients after surgery, which could be fatal. In this study, we intended to predict hypotension after tracheal intubation using machine learning and deep learning techniques after intubation one minute in advance. Meta learning models, such as random forest, extreme gradient boosting (Xgboost), and deep learning models, especially the convolutional neural network (CNN) model and the deep neural network (DNN), were trained to predict hypotension occurring between tracheal intubation and incision, using data from four minutes to one minute before tracheal intubation. Vital records and electronic health records (EHR) for 282 of 319 patients who underwent laparoscopic cholecystectomy from October 2018 to July 2019 were collected. Among the 282 patients, 151 developed post-induction hypotension. Our experiments had two scenarios: using raw vital records and feature engineering on vital records. The experiments on raw data showed that CNN had the best accuracy of 72.63%, followed by random forest (70.32%) and Xgboost (64.6%). The experiments on feature engineering showed that random forest combined with feature selection had the best accuracy of 74.89%, while CNN had a lower accuracy of 68.95% than that of the experiment on raw data. Our study is an extension of previous studies to detect hypotension before intubation with a one-minute advance. To improve accuracy, we built a model using state-of-art algorithms. We found that CNN had a good performance, but that random forest had a better performance when combined with feature selection. In addition, we found that the examination period (data period) is also important.
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