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INTRODUCTION: Intraoperative Hypotension (IOH) poses a substantial risk during surgical procedures. The integration of Artificial Intelligence (AI) in predicting IOH holds promise for enhancing detection capabilities, providing an opportunity to improve patient outcomes. This systematic review and meta analysis explores the intersection of AI and IOH prediction, addressing the crucial need for effective monitoring in surgical settings. METHOD: A search of Pubmed, Scopus, Web of Science, and Embase was conducted. Screening involved two-phase assessments by independent reviewers, ensuring adherence to predefined PICOS criteria. Included studies focused on AI models predicting IOH in any type of surgery. Due to the high number of studies evaluating the hypotension prediction index (HPI), we conducted two sets of meta-analyses: one involving the HPI studies and one including non-HPI studies. In the HPI studies the following outcomes were analyzed: cumulative duration of IOH per patient, time weighted average of mean arterial pressure < 65 (TWA-MAP < 65), area under the threshold of mean arterial pressure (AUT-MAP), and area under the receiver operating characteristics curve (AUROC). In the non-HPI studies, we examined the pooled AUROC of all AI models other than HPI. RESULTS: 43 studies were included in this review. Studies showed significant reduction in IOH duration, TWA-MAP < 65 mmHg, and AUT-MAP < 65 mmHg in groups where HPI was used. AUROC for HPI algorithms demonstrated strong predictive performance (AUROC = 0.89, 95CI). Non-HPI models had a pooled AUROC of 0.79 (95CI: 0.74, 0.83). CONCLUSION: HPI demonstrated excellent ability to predict hypotensive episodes and hence reduce the duration of hypotension. Other AI models, particularly those based on deep learning methods, also indicated a great ability to predict IOH, while their capacity to reduce IOH-related indices such as duration remains unclear.
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Hipotensión , Aprendizaje Automático , Humanos , Hipotensión/diagnóstico , Hipotensión/fisiopatología , Complicaciones Intraoperatorias/diagnóstico , Curva ROCRESUMEN
BACKGROUND: Intraoperative hypotension might contribute to the development of postoperative delirium through inadequate cerebral perfusion. However, evidence regarding the association between intraoperative hypotension and postoperative delirium is equivocal. Therefore, the hypothesis that intraoperative hypotension is associated with postoperative delirium in patients older than 70 yr having elective noncardiac surgery was tested . METHODS: This was a retrospective cohort analysis of patients older than 70 yr who underwent elective noncardiac surgery in a single tertiary academic center between 2020 and 2021. Intraoperative hypotension was quantified as the area under a mean arterial pressure (MAP) threshold of 65 mmHg. Postoperative delirium was defined as a collapsed composite outcome including a positive 4 A's test during the initial 2 postoperative days, and/or delirium identification using the Chart-based Delirium Identification Instrument. The association between hypotension and postoperative delirium was assessed using multivariable logistic regression, adjusting for potential confounding variables. Several sensitivity analyses were performed using similar regression models. RESULTS: In total, 2,352 patients were included (median age, 76 yr; 1,112 [47%] women; 1,166 [50%] American Society of Anesthesiologists Physical Status III or greater; 698 [31%] having high-risk surgeries). The median [interquartile range] intraoperative area under the curve below a threshold of MAP less than 65 mmHg was 28 [0, 103] mmHg · min. The overall incidence of postoperative delirium was 14% (327 of 2,352). After adjustment for potential confounding variables, hypotension was not associated with postoperative delirium. Compared to the first quartile of area under the curve below a threshold of MAP less than 65 mmHg, patients in the second, third, and fourth quartiles did not have more postoperative delirium, with adjusted odds ratios of 0.94 (95% CI, 0.64 to 1.36; P = 0.73), 0.95 (95% CI, 0.66 to 1.36; P = 0.78), and 0.95 (95% CI, 0.65 to 1.36; P = 0.78), respectively. Intraoperative hypotension was also not associated with postoperative delirium in any of the sensitivity and subgroup analyses performed. CONCLUSIONS: To the extent of hypotension observed in our cohort, our results suggest that intraoperative hypotension is not associated with postoperative delirium in elderly patients having elective noncardiac surgery.
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Hipotensión , Complicaciones Intraoperatorias , Humanos , Femenino , Estudios Retrospectivos , Hipotensión/epidemiología , Hipotensión/diagnóstico , Anciano , Masculino , Complicaciones Intraoperatorias/epidemiología , Complicaciones Intraoperatorias/diagnóstico , Complicaciones Intraoperatorias/etiología , Estudios de Cohortes , Anciano de 80 o más Años , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Complicaciones Posoperatorias/diagnóstico , Delirio del Despertar/epidemiología , Delirio del Despertar/diagnóstico , Delirio del Despertar/etiología , Delirio/epidemiología , Delirio/etiología , Procedimientos Quirúrgicos Electivos/efectos adversosRESUMEN
BACKGROUND: This study aimed to evaluate the accuracy of ankle blood pressure measurements in relation to invasive blood pressure in the lateral position. METHODS: This prospective observational study included adult patients scheduled for elective non-cardiac surgery under general anesthesia in the lateral position. Paired radial artery invasive and ankle noninvasive blood pressure readings were recorded in the lateral position using GE Carescape B650 monitor. The primary outcome was the ability of ankle mean arterial pressure (MAP) to detect hypotension (MAP < 70 mmHg) using area under the receiver operating characteristic curve (AUC) analysis. The secondary outcomes were the ability of ankle systolic blood pressure (SBP) to detect hypertension (SBP > 140 mmHg) as well as bias (invasive measurement - noninvasive measurement), and agreement between the two methods using the Bland-Altman analysis. RESULTS: We analyzed 415 paired readings from 30 patients. The AUC (95% confidence interval [CI]) of ankle MAP for detecting hypotension was 0.88 (0.83-0.93). An ankle MAP of ≤ 86 mmHg had negative and positive predictive values (95% CI) of 99 (97-100)% and 21 (15-29)%, respectively, for detecting hypotension. The AUC (95% CI) of ankle SBP to detect hypertension was 0.83 (0.79-0.86) with negative and positive predictive values (95% CI) of 95 (92-97)% and 36 (26-46)%, respectively, at a cutoff value of > 144 mmHg. The mean bias between the two methods was - 12 ± 17, 3 ± 12, and - 1 ± 11 mmHg for the SBP, diastolic blood pressure, and MAP, respectively. CONCLUSION: In patients under general anesthesia in the lateral position, ankle blood pressure measurements are not interchangeable with the corresponding invasive measurements. However, an ankle MAP > 86 mmHg can exclude hypotension with 99% accuracy, and an ankle SBP < 144 mmHg can exclude hypertension with 95% accuracy.
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Anestesia General , Tobillo , Determinación de la Presión Sanguínea , Humanos , Femenino , Anestesia General/métodos , Masculino , Estudios Prospectivos , Persona de Mediana Edad , Determinación de la Presión Sanguínea/métodos , Tobillo/irrigación sanguínea , Anciano , Oscilometría/métodos , Presión Sanguínea/fisiología , Hipertensión/fisiopatología , Hipertensión/diagnóstico , Hipotensión/diagnóstico , Hipotensión/fisiopatología , Adulto , Posicionamiento del Paciente/métodosRESUMEN
STUDY OBJECTIVE: Hindsight bias is the tendency to overestimate the predictability of an event after it has already occurred. We aimed to evaluate whether hindsight bias influences the retrospective interpretation of clinical scenarios in the field of anesthesiology, which relies on clinicians making rapid decisions in the setting of perioperative adverse events. DESIGN: Two clinical scenarios were developed (intraoperative hypotension and intraoperative hypoxia) with 3 potential diagnoses for each. Participants completed a crossover study reviewing one case without being informed of the supposed ultimate diagnosis (i.e., no 'anchor' diagnosis), referred to as their foresight case, and the other as a hindsight case wherein they were informed in the leading sentence of the scenario that 1 of the 3 conditions provided was the ultimate diagnosis (i.e., the diagnosis the participant might 'anchor' to if given this information at the start). Participants were randomly assigned to (1) which scenario (hypotension or hypoxia) was presented as the initial foresight case and (2) which of the 3 potential diagnoses for the second case (the hindsight case, which defaulted to whichever case the participant was not assigned for the first case) was presented as the ultimate diagnosis in the leading sentence in a 2 (scenario order) x 3 (hindsight case anchor) between-subjects factorial design (6 possible randomization assignments). SETTING: Two academic medical centers. PARTICIPANTS: Faculty, fellow, and resident anesthesiologists and certified nurse anesthetists (CRNAs). INTERVENTIONS: None. MEASUREMENTS: After reading each clinical scenario, participants were asked to rate the probability (%) of each of three potential diagnoses to have caused the hypotension or hypoxia. Compositional data analysis (CoDA) was used to compare whether diagnosis probabilities differ between the hindsight and the foresight case. MAIN RESULTS: 113 participants completed the study. 59 participants (52%) were resident anesthesiologists. Participants randomized to the hypotension scenario as a hindsight case were 2.82 times more likely to assign higher probability to the pulmonary embolus diagnosis if provided as an anchor (95% CI, 1.35-5.90; P = 0.006) and twice as likely to assign higher probability to the myocardial infarction diagnosis if provided as an anchor (95% CI, 1.12-3.58; P = 0.020). Participants randomized to the hypoxia scenario as a hindsight case were 1.78 times more likely to assign higher probability to the mainstem bronchus intubation diagnosis if provided in the anchor statement (95% CI, 1.00-3.14; P = 0.048) and 3.72 times more likely to assign higher probability to the pulmonary edema diagnosis if provided as an anchor (95% CI, 1.88-7.35; P < 0.001). CONCLUSIONS: Hindsight bias influences the clinical diagnosis probabilities assigned by anesthesia providers. Clinicians should be educated on hindsight bias in perioperative medicine and be cognizant of the effect of hindsight bias when interpreting clinical outcomes.
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Estudios Cruzados , Hipotensión , Hipoxia , Humanos , Hipotensión/diagnóstico , Hipotensión/etiología , Femenino , Hipoxia/etiología , Hipoxia/diagnóstico , Hipoxia/prevención & control , Masculino , Adulto , Anestesiólogos , Anestesiología/métodos , Anestesiología/normas , Complicaciones Intraoperatorias/diagnóstico , Complicaciones Intraoperatorias/etiología , Complicaciones Intraoperatorias/prevención & control , Persona de Mediana Edad , Sesgo , Estudios RetrospectivosRESUMEN
Intraoperative hypotension (IOH) is a common issue associated with acute kidney injury, myocardial injury, stroke, and death. IOH may be avoided with the incorporation of newer advanced hemodynamic monitoring technologies. This case study examines the use of advanced hemodynamic monitoring with an early warning system for the intraoperative hemodynamic management of a patient presenting for pancreaticoduodenectomy. Incorporating the hypotension prediction index and other hemodynamic parameters to anticipate impending hypotension and treat potential causative factors is an emerging technological advancement. Understanding and embracing the potential for new advanced hemodynamic technology to reduce intraoperative hypotension's severity, duration, and occurrence is key to reducing negative patient outcomes.
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Hipotensión , Complicaciones Intraoperatorias , Enfermeras Anestesistas , Humanos , Hipotensión/diagnóstico , Complicaciones Intraoperatorias/diagnóstico , Complicaciones Intraoperatorias/prevención & control , Masculino , Pancreaticoduodenectomía/efectos adversos , Monitoreo Intraoperatorio , Persona de Mediana Edad , Anciano , FemeninoRESUMEN
BACKGROUND: Hypotension, characterized by abnormally low blood pressure, is a frequently observed adverse event in sedated gastrointestinal endoscopy procedures. Although the examination time is typically short, hypotension during and after gastroscopy procedures is frequently overlooked or remains undetected. This study aimed to construct a risk nomogram for post-anesthesia care unit (PACU) hypotension in elderly patients undergoing sedated gastrointestinal endoscopy. METHODS: This study involved 2919 elderly patients who underwent sedated gastrointestinal endoscopy. A preoperative questionnaire was used to collect data on patient characteristics; intraoperative medication use and adverse events were also recorded. The primary objective of the study was to evaluate the risk of PACU hypotension in these patients. To achieve this, the least absolute shrinkage and selection operator (LASSO) regression analysis method was used to optimize variable selection, involving cyclic coordinate descent with tenfold cross-validation. Subsequently, multivariable logistic regression analysis was applied to build a predictive model using the selected predictors from the LASSO regression. A nomogram was visually developed based on these variables. To validate the model, a calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used. Additionally, external validation was conducted to further assess the model's performance. RESULTS: The LASSO regression analysis identified predictors associated with an increased risk of adverse events during surgery: age, duration of preoperative water abstinence, intraoperative mean arterial pressure (MAP) <65 mmHg, decreased systolic blood pressure (SBP), and use of norepinephrine (NE). The constructed model based on these predictors demonstrated moderate predictive ability, with an area under the ROC curve of 0.710 in the training set and 0.778 in the validation set. The DCA indicated that the nomogram had clinical applicability when the risk threshold ranged between 20 and 82%, which was subsequently confirmed in the external validation with a range of 18-92%. CONCLUSION: Incorporating factors such as age, duration of preoperative water abstinence, intraoperative MAP <65 mmHg, decreased SBP, and use of NE in the risk nomogram increased its usefulness for predicting PACU hypotension risk in elderly patient undergoing sedated gastrointestinal endoscopy.
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Endoscopía Gastrointestinal , Hipotensión , Humanos , Hipotensión/diagnóstico , Anciano , Femenino , Masculino , Endoscopía Gastrointestinal/métodos , Endoscopía Gastrointestinal/efectos adversos , Anciano de 80 o más Años , Nomogramas , Periodo de Recuperación de la Anestesia , Curva ROCRESUMEN
Background: Lactate is a commonly used biomarker for sepsis, although it has limitations in certain cases, suggesting the need for novel biomarkers. We evaluated the diagnostic accuracy of plasma renin concentration and renin activity for mortality and kidney outcomes in patients with sepsis with hypoperfusion or hypotension. Methods: This was a multicenter, prospective, observational study of 117 patients with septic shock treated at three tertiary emergency departments between September 2021 and October 2022. The accuracy of renin activity, renin, and lactate concentrations in predicting 28-day mortality, acute kidney injury (AKI), and renal replacement requirement was assessed using the area under the ROC curve (AUC) analysis. Results: The AUCs of initial renin activity, renin, and lactate concentrations for predicting 28-day mortality were 0.66 (95% confidence interval [CI], 0.55-0.77), 0.63 (95% CI, 0.52-0.75), and 0.65 (95% CI, 0.53-0.77), respectively, and those at 24 hrs were 0.74 (95% CI, 0.62-0.86), 0.70 (95% CI, 0.56-0.83), and 0.67 (95% CI, 0.54-0.79). Renin concentrations and renin activity outperformed initial lactate concentrations in predicting AKI within 14 days. The AUCs of renin and lactate concentrations were 0.71 (95% CI, 0.61-0.80) and 0.57 (95% CI, 0.46-0.67), respectively (P=0.030). The AUC of renin activity (0.70; 95% CI, 0.60-0.80) was also higher than that of lactate concentration (P=0.044). Conclusions: Renin concentration and renin activity show comparable performance to lactate concentration in predicting 28-day mortality in patients with septic shock but superior performance in predicting AKI.
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Lesión Renal Aguda , Área Bajo la Curva , Biomarcadores , Hipotensión , Ácido Láctico , Curva ROC , Renina , Choque Séptico , Humanos , Renina/sangre , Choque Séptico/mortalidad , Choque Séptico/sangre , Choque Séptico/diagnóstico , Choque Séptico/complicaciones , Estudios Prospectivos , Masculino , Femenino , Anciano , Persona de Mediana Edad , Lesión Renal Aguda/diagnóstico , Lesión Renal Aguda/mortalidad , Lesión Renal Aguda/sangre , Hipotensión/diagnóstico , Hipotensión/sangre , Hipotensión/complicaciones , Hipotensión/mortalidad , Biomarcadores/sangre , Ácido Láctico/sangreRESUMEN
Blood pressure is a critical physiological parameter, particularly in the context of cardiac intensive care and perioperative settings. As a primary indicator of organ perfusion, the maintenance of adequate blood pressure is imperative for the assurance of sufficient tissue oxygen delivery. Among critically ill and major surgery patients, the continuous monitoring of blood pressure is performed as a standard practice for patients. Nonetheless, uncertainties remain regarding blood pressure goals, and there is no consensus regarding blood pressure targets. This review describes the determinants of blood pressure, examine the influence of blood pressure on organ perfusion, and synthesize the current clinical evidence from various intensive care and perioperative settings to provide a concise guidance for daily clinical practice.
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Presión Sanguínea , Cuidados Críticos , Hipotensión , Atención Perioperativa , Humanos , Atención Perioperativa/métodos , Cuidados Críticos/métodos , Hipotensión/terapia , Hipotensión/fisiopatología , Hipotensión/diagnóstico , Presión Sanguínea/fisiologíaRESUMEN
OBJECTIVES: To describe the incidence of postoperative hypotension in patients undergoing cardiac surgery during the first 12 hours in the intensive care unit (ICU) and any relationship between hypotension and the development of acute kidney injury (AKI). DESIGN: This was a retrospective, observational cohort study. SETTING: The study took place in a single-center tertiary teaching hospital in London, UK. PARTICIPANTS: Adult patients (n = 100) who underwent elective cardiac surgery requiring intraoperative cardiopulmonary bypass between May and November 2021 were enrolled. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A hypotensive event was defined as mean arterial pressure <65 mmHg lasting at least 1 minute. Invasive blood pressure data was analyzed for the first 12 hours after surgery, and any association between postoperative hypotension and AKI was assessed. A total of 91% of patients experienced hypotension in the first 12 hours postprocedure. On average, patients experienced 9 hypotensive events, with events lasting an average of 5 minutes. A total of 16 patients (16%) developed at least stage 1 AKI. The average duration of hypotension was significantly higher in the AKI group (4.6 min [IQR 3.3, 8.0] v 8.1 min [IQR 5.2, 14.2], p = 0.029). Those suffering AKI had longer ICU and hospital stays. CONCLUSIONS: This study demonstrated that hypotension in the first 12 hours following cardiac surgery is common and prolonged hypotensive events are associated with developing AKI. This emphasizes the importance of treating hypotension aggressively and highlights a target for further research and intervention.
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Lesión Renal Aguda , Procedimientos Quirúrgicos Cardíacos , Hipotensión , Complicaciones Posoperatorias , Humanos , Lesión Renal Aguda/epidemiología , Lesión Renal Aguda/etiología , Lesión Renal Aguda/diagnóstico , Masculino , Procedimientos Quirúrgicos Cardíacos/efectos adversos , Femenino , Hipotensión/epidemiología , Hipotensión/etiología , Hipotensión/diagnóstico , Estudios Retrospectivos , Complicaciones Posoperatorias/epidemiología , Complicaciones Posoperatorias/etiología , Persona de Mediana Edad , Anciano , Incidencia , Estudios de Cohortes , Unidades de Cuidados IntensivosRESUMEN
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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Presión Arterial , Consenso , Hipotensión , Atención Perioperativa , Humanos , Presión Arterial/fisiología , Determinación de la Presión Sanguínea/métodos , Determinación de la Presión Sanguínea/normas , Hipotensión/diagnóstico , Hipotensión/terapia , Hipotensión/prevención & control , Complicaciones Intraoperatorias/prevención & control , Complicaciones Intraoperatorias/terapia , Complicaciones Intraoperatorias/diagnóstico , Monitoreo Intraoperatorio/métodos , Monitoreo Intraoperatorio/normas , Atención Perioperativa/métodos , Atención Perioperativa/normas , Complicaciones Posoperatorias/prevención & control , Complicaciones Posoperatorias/diagnósticoRESUMEN
AIMS: Patients with structural heart disease (SHD) undergoing catheter ablation (CA) for ventricular tachycardia (VT) are at considerable risk of periprocedural complications, including acute haemodynamic decompensation (AHD). The PAINESD score was proposed to predict the risk of AHD. The goal of this study was to validate the PAINESD score using the retrospective analysis of data from a large-volume heart centre. METHODS AND RESULTS: Patients who had their first radiofrequency CA for SHD-related VT between August 2006 and December 2020 were included in the study. Procedures were mainly performed under conscious sedation. Substrate mapping/ablation was performed primarily during spontaneous rhythm or right ventricular pacing. A purposely established institutional registry for complications of invasive procedures was used to collect all periprocedural complications that were subsequently adjudicated using the source medical records. Acute haemodynamic decompensation triggered by CA procedure was defined as intraprocedural or early post-procedural (<12â h) development of acute pulmonary oedema or refractory hypotension requiring urgent intervention. The study cohort consisted of 1124 patients (age, 63 ± 13 years; males, 87%; ischaemic cardiomyopathy, 67%; electrical storm, 25%; New York Heart Association Class, 2.0 ± 1.0; left ventricular ejection fraction, 34 ± 12%; diabetes mellitus, 31%; chronic obstructive pulmonary disease, 12%). Their PAINESD score was 11.4 ± 6.6 (median, 12; interquartile range, 6-17). Acute haemodynamic decompensation complicated the CA procedure in 13/1124 = 1.2% patients and was not predicted by PAINESD score with AHD rates of 0.3, 1.8, and 1.1% in subgroups by previously published PAINESD terciles (<9, 9-14, and >14). However, the PAINESD score strongly predicted mortality during the follow-up. CONCLUSION: Primarily substrate-based CA of SHD-related VT performed under conscious sedation is associated with a substantially lower rate of AHD than previously reported. The PAINESD score did not predict these events. The application of the PAINESD score to the selection of patients for pre-emptive mechanical circulatory support should be reconsidered.
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Ablación por Catéter , Hemodinámica , Taquicardia Ventricular , Humanos , Taquicardia Ventricular/cirugía , Taquicardia Ventricular/fisiopatología , Taquicardia Ventricular/etiología , Taquicardia Ventricular/diagnóstico , Masculino , Femenino , Persona de Mediana Edad , Ablación por Catéter/efectos adversos , Estudios Retrospectivos , Cicatriz/fisiopatología , Anciano , Hipotensión/etiología , Hipotensión/fisiopatología , Hipotensión/diagnóstico , Edema Pulmonar/etiología , Edema Pulmonar/diagnóstico , Edema Pulmonar/fisiopatología , Complicaciones Posoperatorias/etiología , Complicaciones Posoperatorias/diagnóstico , Factores de RiesgoRESUMEN
INTRODUCTION: Intraoperative goal-directed hemodynamic therapy (GDHT) is a cornerstone of enhanced recovery protocols. We hypothesized that use of an advanced noninvasive intraoperative hemodynamic monitoring system to guide GDHT may decrease intraoperative hypotension (IOH) and improve perfusion during pancreatic resection. METHODS: The monitor uses machine learning to produce the Hypotension Prediction Index to predict hypotensive episodes. A clinical decision-making algorithm uses the Hypotension Prediction Index and hemodynamic data to guide intraoperative fluid versus pressor management. Pre-implementation (PRE), patients were placed on the monitor and managed per usual. Post-implementation (POST), anesthesia teams were educated on the algorithm and asked to use the GDHT guidelines. Hemodynamic data points were collected every 20 s (8942 PRE and 26,638 POST measurements). We compared IOH (mean arterial pressure <65 mmHg), cardiac index >2, and stroke volume variation <12 between the two groups. RESULTS: 10 patients were in the PRE and 24 in the POST groups. In the POST group, there were fewer minimally invasive resections (4.2% versus 30.0%, P = 0.07), more pancreaticoduodenectomies (75.0% versus 20.0%, P < 0.01), and longer operative times (329.0 + 108.2 min versus 225.1 + 92.8 min, P = 0.01). After implementation, hemodynamic parameters improved. There was a 33.3% reduction in IOH (5.2% ± 0.1% versus 7.8% ± 0.3%, P < 0.01, a 31.6% increase in cardiac index >2.0 (83.7% + 0.2% versus 63.6% + 0.5%, P < 0.01), and a 37.6% increase in stroke volume variation <12 (73.2% + 0.3% versus 53.2% + 0.5%, P < 0.01). CONCLUSIONS: Advanced intraoperative hemodynamic monitoring to predict IOH combined with a clinical decision-making tree for GDHT may improve intraoperative hemodynamic parameters during pancreatectomy. This warrants further investigation in larger studies.
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Hemodinámica , Hipotensión , Monitoreo Intraoperatorio , Pancreatectomía , Humanos , Proyectos Piloto , Pancreatectomía/efectos adversos , Persona de Mediana Edad , Femenino , Masculino , Anciano , Hipotensión/prevención & control , Hipotensión/etiología , Hipotensión/diagnóstico , Monitoreo Intraoperatorio/métodos , Complicaciones Intraoperatorias/prevención & control , Complicaciones Intraoperatorias/etiología , Complicaciones Intraoperatorias/epidemiología , Monitorización Hemodinámica/métodos , Adulto , Algoritmos , Fluidoterapia/métodos , Toma de Decisiones Clínicas/métodosRESUMEN
INTRODUCTION: Hypotension is a cardiovascular symptom that appears at the onset of anaphylaxis. It is considered an important factor as it affects the severity of anaphylaxis; however, its details remain to be elucidated. In this study, we investigated the characteristics of hypotension at the onset of anaphylaxis during anesthesia, along with the relationship between hypotension, tryptase and histamine. MATERIALS AND METHODS: The minimum systolic blood pressures of patients diagnosed with anaphylaxis using the clinical diagnostic criteria of the World Allergy Organization guidelines were extracted from electronic anesthesia records. We analyzed changes in tryptase and histamine that were measured after the onset of anaphylaxis. We analyzed the relationship of tryptase and histamine with the minimum systolic blood pressure and the severity of anaphylaxis. RESULTS: Of 55,996 patients, 25 were diagnosed with anaphylaxis during anesthesia (0.045%). Among these patients, the minimum systolic blood pressure was less than 90 mmHg. Furthermore, the minimum systolic blood pressure was inversely correlated with tryptase levels immediately to 1 hour, and 2 to 4 hours after the onset of anaphylaxis. The minimum systolic blood pressure was inversely correlated with the severity of anaphylaxis. The severity of anaphylaxis was positively correlated with tryptase levels immediately to 1 hour, and 2 to 4 hours after the onset of anaphylaxis. CONCLUSION: Hypotension tended to reflect the severity of anaphylaxis. Tryptase is an adjunct in the diagnosis of hypotension and may be a useful indicator of the severity of anaphylaxis. A larger-scale study is needed to validate these results.
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Anafilaxia , Presión Sanguínea , Histamina , Hipotensión , Triptasas , Humanos , Triptasas/sangre , Anafilaxia/diagnóstico , Hipotensión/diagnóstico , Hipotensión/fisiopatología , Masculino , Femenino , Persona de Mediana Edad , Adulto , Histamina/efectos adversos , Anciano , Anestesia/efectos adversos , Índice de Severidad de la EnfermedadRESUMEN
Objective. Acute hypotension episode (AHE) is one of the most critical complications in intensive care unit (ICU). A timely and precise AHE prediction system can provide clinicians with sufficient time to respond with proper therapeutic measures, playing a crucial role in saving patients' lives. Recent studies have focused on utilizing more complex models to improve predictive performance. However, these models are not suitable for clinical application due to limited computing resources for bedside monitors.Approach. To address this challenge, we propose an efficient lightweight dilated shuffle group network. It effectively incorporates shuffling operations into grouped convolutions on the channel and dilated convolutions on the temporal dimension, enhancing global and local feature extraction while reducing computational load.Main results. Our benchmarking experiments on the MIMIC-III and VitalDB datasets, comprising 6036 samples from 1304 patients and 2958 samples from 1047 patients, respectively, demonstrate that our model outperforms other state-of-the-art lightweight CNNs in terms of balancing parameters and computational complexity. Additionally, we discovered that the utilization of multiple physiological signals significantly improves the performance of AHE prediction. External validation on the MIMIC-IV dataset confirmed our findings, with prediction accuracy for AHE 5 min prior reaching 93.04% and 92.04% on the MIMIC-III and VitalDB datasets, respectively, and 89.47% in external verification.Significance. Our study demonstrates the potential of lightweight CNN architectures in clinical applications, providing a promising solution for real-time AHE prediction under resource constraints in ICU settings, thereby marking a significant step forward in improving patient care.
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Hospitalización , Hipotensión , Unidades de Cuidados Intensivos , Redes Neurales de la Computación , Humanos , Hipotensión/fisiopatología , Hipotensión/diagnóstico , Enfermedad AgudaRESUMEN
BACKGROUND: The Hypotension Prediction Index is designed to predict intraoperative hypotension in a timely manner and is based on arterial waveform analysis using machine learning. It has recently been suggested that this algorithm is highly correlated with the mean arterial pressure itself. Therefore, the aim of this study was to compare the index with mean arterial pressure-based prediction methods, and it is hypothesized that their ability to predict hypotension is comparable. METHODS: In this observational study, the Hypotension Prediction Index was used in addition to routine intraoperative monitoring during moderate- to high-risk elective noncardiac surgery. The agreement in time between the default Hypotension Prediction Index alarm (greater than 85) and different concurrent mean arterial pressure thresholds was evaluated. Additionally, the predictive performance of the index and different mean arterial pressure-based methods were assessed within 5, 10, and 15 min before hypotension occurred. RESULTS: A total of 100 patients were included. A mean arterial pressure threshold of 73 mmHg agreed 97% of the time with the default index alarm, whereas a mean arterial pressure threshold of 72 mmHg had the most comparable predictive performance. The areas under the receiver operating characteristic curve of the Hypotension Prediction Index (0.89 [0.88 to 0.89]) and concurrent mean arterial pressure (0.88 [0.88 to 0.89]) were almost identical for predicting hypotension within 5 min, outperforming both linearly extrapolated mean arterial pressure (0.85 [0.84 to 0.85]) and delta mean arterial pressure (0.66 [0.65 to 0.67]). The positive predictive value was 31.9 (31.3 to 32.6)% for the default index alarm and 32.9 (32.2 to 33.6)% for a mean arterial pressure threshold of 72 mmHg. CONCLUSIONS: In clinical practice, the Hypotension Prediction Index alarms are highly similar to those derived from mean arterial pressure, which implies that the machine learning algorithm could be substituted by an alarm based on a mean arterial pressure threshold set at 72 or 73 mmHg. Further research on intraoperative hypotension prediction should therefore include comparison with mean arterial pressure-based alarms and related effects on patient outcome.
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Presión Arterial , Hipotensión , Complicaciones Intraoperatorias , Monitoreo Intraoperatorio , Valor Predictivo de las Pruebas , Humanos , Hipotensión/diagnóstico , Hipotensión/fisiopatología , Estudios Prospectivos , Femenino , Masculino , Presión Arterial/fisiología , Persona de Mediana Edad , Complicaciones Intraoperatorias/diagnóstico , Complicaciones Intraoperatorias/fisiopatología , Complicaciones Intraoperatorias/prevención & control , Monitoreo Intraoperatorio/métodos , AncianoRESUMEN
BACKGROUND: The Hypotension Prediction Index (the index) software is a machine learning algorithm that detects physiologic changes that may lead to hypotension. The original validation used a case control (backward) analysis that has been suggested to be biased. This study therefore conducted a cohort (forward) analysis and compared this to the original validation technique. METHODS: A retrospective analysis of data from previously reported studies was conducted. All data were analyzed identically with two different methodologies, and receiver operating characteristic curves were constructed. Both backward and forward analyses were performed to examine differences in area under the receiver operating characteristic curves for the Hypotension Prediction Index and other hemodynamic variables to predict a mean arterial pressure (MAP) less than 65 mmHg for at least 1 min 5, 10, and 15 min in advance. RESULTS: The analysis included 2,022 patients, yielding 4,152,124 measurements taken at 20-s intervals. The area under the curve for the index predicting hypotension analyzed by backward and forward methodologies respectively was 0.957 (95% CI, 0.947 to 0.964) versus 0.923 (95% CI, 0.912 to 0.933) 5 min in advance, 0.933 (95% CI, 0.924 to 0.942) versus 0.923 (95% CI, 0.911 to 0.933) 10 min in advance, and 0.929 (95% CI, 0.918 to 0.938) versus 0.926 (95% CI, 0.914 to 0.937) 15 min in advance. No variable other than MAP had an area under the curve greater than 0.7. The areas under the curve using forward analysis for MAP predicting hypotension 5, 10, and 15 min in advance were 0.932 (95% CI, 0.920 to 0.940), 0.929 (95% CI, 0.918 to 0.938), and 0.932 (95% CI, 0.921 to 0.940), respectively. The R2 for the variation in the index due to MAP was 0.77. CONCLUSIONS: Using an updated methodology, the study found that the utility of the Hypotension Prediction Index to predict future hypotensive events is high, with an area under the receiver operating characteristics curve similar to that of the original validation method.
Asunto(s)
Hipotensión , Humanos , Hipotensión/diagnóstico , Hipotensión/fisiopatología , Estudios Retrospectivos , Estudios de Casos y Controles , Masculino , Femenino , Estudios de Cohortes , Valor Predictivo de las Pruebas , Aprendizaje Automático , Persona de Mediana Edad , Curva ROC , AlgoritmosRESUMEN
OBJECTIVE: Intraoperative hypotension remains a serious adverse event of photodynamic diagnosis-assisted transurethral resection of bladder tumor with oral administration of 5-aminolevulinic acid. We conducted a re-analysis of perioperative hypotension in photodynamic diagnosis-assisted transurethral resection of the bladder tumor with oral 5-aminolevulinic acid to ascertain its safety. METHODS: A total of 407 cases who underwent transurethral resection of bladder tumors in our institution were reviewed (274 cases for the PDD group with photodynamic diagnosis and 133 for the white light (WL) group without). A classification of hypotension severity was devised to identify risk factors for clinically troublesome hypotension. The distribution of hypotension severity in each of the PDD and WL groups was compared. Additionally, the patient background and perioperative data by hypotension severity were compared only in the PDD group. RESULTS: More patients with moderate and severe hypotension were noted in the PDD group. The renal function was lower with increasing hypotension severity in the PDD group. More patients on general anesthesia were included in the mild and moderate hypotension group, whereas more patients on spinal anesthesia were included in the severe hypotension group. Furthermore, the frequency of side effects other than hypotension tended to increase with hypotension severity. CONCLUSIONS: Renal function impairment and the other adverse effects of 5-aminolevulinic acid may be risk factors for severe hypotension. Mild or moderate hypotension may be caused by general anesthesia and severe hypotension may be caused by spinal anesthesia. To elucidate specific risk factors, further case-control studies are warranted.
Asunto(s)
Ácido Aminolevulínico , Hipotensión , Fármacos Fotosensibilizantes , Resección Transuretral de la Vejiga , Neoplasias de la Vejiga Urinaria , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Persona de Mediana Edad , Ácido Aminolevulínico/administración & dosificación , Ácido Aminolevulínico/efectos adversos , Cistectomía/efectos adversos , Hipotensión/etiología , Hipotensión/diagnóstico , Complicaciones Intraoperatorias/etiología , Complicaciones Intraoperatorias/diagnóstico , Fármacos Fotosensibilizantes/administración & dosificación , Fármacos Fotosensibilizantes/efectos adversos , Estudios Retrospectivos , Factores de Riesgo , Índice de Severidad de la Enfermedad , Resección Transuretral de la Vejiga/efectos adversos , Neoplasias de la Vejiga Urinaria/cirugíaRESUMEN
Hypotension induced by general anesthesia is associated with postoperative complications, increased mortality, and morbidity, particularly elderly patients. The aim of this study was to investigate the effectiveness of corrected carotid artery flow time (FTc) for predicting hypotension following anesthesia induction in patients over 65 years old. After faculty ethical committee approval and written informed consent, 138 patients (65 years and older, ASA physical status I-III) who scheduled for elective surgery were included in this study. In the pre-operative anesthesia unit, the carotid artery FTc value was measured by ultrasound and hemodynamic values were recorded. Following anesthesia induction with propofol, hemodynamic data were recorded at 1-minute intervals for 3 min. Measurements were terminated prior to endotracheal intubation, as direct laryngoscopy and endotracheal intubation could cause sympathetic stimulation and hemodynamic changes. Hypotension occurred in 52 patients (37.7%). The preoperative FTc value of the patients who developed hypotension was statistically lower (312.5 ms) than the patients who did not (345.0 ms) (p < 0.001). The area under the ROC curve for carotid artery FTc was 0.93 (95% CI for AUC:0.89-0.97; p < 0.001) with an optimal cut-off of value for predicting post-anesthesia hypotension 333 ms, a sensitivity of 90.4% and a specificity of 84.9%. As a result of the multiple logistic regression model, carotid artery FTc emerged as the sole independent risk factor for hypotension following anesthesia induction. Preoperative carotid artery FTc measurement is a simple, bedside, noninvasive, and reliable method for predicting anesthesia-induced hypotension in elderly patients.
Asunto(s)
Tiempo de Circulación Sanguínea , Arterias Carótidas , Hipotensión , Propofol , Arterias Carótidas/efectos de los fármacos , Hipotensión/inducido químicamente , Hipotensión/diagnóstico , Valor Predictivo de las Pruebas , Propofol/farmacología , Humanos , Masculino , Femenino , Anciano , Modelos Logísticos , Factores de Riesgo , Sensibilidad y EspecificidadRESUMEN
BACKGROUND: Skin mottling is a common manifestation of peripheral tissue hypoperfusion, and its severity can be described using the skin mottling score (SMS). This study aims to evaluate the value of the SMS in detecting peripheral tissue hypoperfusion in critically ill patients following cardiac surgery. METHODS: Critically ill patients following cardiac surgery with risk factors for tissue hypoperfusion were enrolled (n = 373). Among these overall patients, we further defined a hypotension population (n = 178) and a shock population (n = 51). Hemodynamic and perfusion parameters were recorded. The primary outcome was peripheral hypoperfusion, defined as significant prolonged capillary refill time (CRT, > 3.0 s). The characteristics and hospital mortality of patients with and without skin mottling were compared. The area under receiver operating characteristic curves (AUROC) were used to assess the accuracy of SMS in detecting peripheral hypoperfusion. Besides, the relationships between SMS and conventional hemodynamic and perfusion parameters were investigated, and the factors most associated with the presence of skin mottling were identified. RESULTS: Of the 373-case overall population, 13 (3.5%) patients exhibited skin mottling, with SMS ranging from 1 to 5 (5, 1, 2, 2, and 3 cases, respectively). Patients with mottling had lower mean arterial pressure, higher vasopressor dose, less urine output (UO), higher CRT, lactate levels and hospital mortality (84.6% vs. 12.2%, p < 0.001). The occurrences of skin mottling were higher in hypotension population and shock population, reaching 5.6% and 15.7%, respectively. The AUROC for SMS to identify peripheral hypoperfusion was 0.64, 0.68, and 0.81 in the overall, hypotension, and shock populations, respectively. The optimal SMS threshold was 1, which corresponded to specificities of 98, 97 and 91 and sensitivities of 29, 38 and 67 in the three populations (overall, hypotension and shock). The correlation of UO, lactate, CRT and vasopressor dose with SMS was significant, among them, UO and CRT were identified as two major factors associated with the presence of skin mottling. CONCLUSION: In critically ill patients following cardiac surgery, SMS is a very specific yet less sensitive parameter for detecting peripheral tissue hypoperfusion.