Notes

Structuro-functional surrogates associated with response to subcallosal cingulate strong mind stimulation for major depression.
A number of recent studies have reported an association between intraoperative burst suppression and postoperative delirium. These studies suggest that anesthesia-induced burst suppression may be an indicator of underlying brain vulnerability. A prominent feature of electroencephalogram (EEG) under propofol and sevoflurane anesthesia is the frontal alpha oscillation. This frontal alpha oscillation is known to decline significantly during aging and is generated by prefrontal brain regions that are particularly prone to age-related neurodegeneration. Given that burst suppression and frontal alpha oscillations are both associated with brain vulnerability, we hypothesized that anesthesia-induced frontal alpha power could also be associated with burst suppression.

We analyzed EEG data from a previously reported cohort in which 155 patients received propofol (n = 60) or sevoflurane (n = 95) as the primary anesthetic. We computed the EEG spectrum during stable anesthetic maintenance and identified whether or notth higher propensity for burst suppression and, therefore, potentially higher risk of postoperative neurocognitive disorders. We hypothesize that low frontal alpha power and increased propensity for burst suppression together characterize a "vulnerable brain" phenotype under anesthesia that could be mechanistically linked to brain metabolism, cognition, and brain aging.
Cerebral blood flow (CBF) is maintained over a range of blood pressures through cerebral autoregulation (CA). Blood pressure outside the range of CA, or impaired autoregulation, is associated with adverse patient outcomes. Regional oxygen saturation (rSO2) derived from near-infrared spectroscopy (NIRS) can be used as a surrogate CBF for determining CA, but existing methods require a long period of time to calculate CA metrics. We have developed a novel method to determine CA using cotrending of mean arterial pressure (MAP) with rSO2that aims to provide an indication of CA state within 1 minute. We sought to determine the performance of the cotrending method by comparing its CA metrics to data derived from transcranial Doppler (TCD) methods.

Retrospective data collected from 69 patients undergoing cardiac surgery with cardiopulmonary bypass were used to develop a reference lower limit of CA. TCD-MAP data were plotted to determine the reference lower limit of CA. The investigated method to evaluate CA statetaken by the clinician.
The reported cotrending method rapidly provides metrics associated with CA state for patients undergoing cardiac surgery. A major strength of the proposed method is its near real-time feedback on patient CA state, thus allowing for prompt corrective action to be taken by the clinician.
Following the introduction of sugammadex to the US clinical practice, scarce data are available to understand its utilization patterns. This study aimed to characterize patient, procedure, and provider factors associated with sugammadex administration in US patients.

This retrospective observational study was conducted across 24 Multicenter Perioperative Outcomes Group institutions in the United States with sugammadex on formulary at the time of the study. All American Society of Anesthesiologists (ASA) physical status I-IV adults undergoing noncardiac surgery from 2014 to 2018 receiving neuromuscular blockade (NMB) were eligible. The study established 3 periods based on the date of first documented sugammadex use at each institution the presugammadex period, 0- to 6-month transitional period, and 6+ months postsugammadex period. The primary outcome was reversal using sugammadex during the postsugammadex period-defined as 6 months after sugammadex was first utilized at each institution. A multivariable miwing Food and Drug Administration approval. Sugammadex is used preferentially in cases with higher degrees of NMB before reversal and in patients with greater burden of comorbidities and known risk factors for residual blockade or pulmonary complications.
Our data demonstrate broad early clinical adoption of sugammadex following Food and Drug Administration approval. Sugammadex is used preferentially in cases with higher degrees of NMB before reversal and in patients with greater burden of comorbidities and known risk factors for residual blockade or pulmonary complications.
Induction of anesthesia is a phase characterized by rapid changes in both drug concentration and drug effect. Conventional mammillary compartmental models are limited in their ability to accurately describe the early drug distribution kinetics. Recirculatory models have been used to account for intravascular mixing after drug administration. However, these models themselves may be prone to misspecification. Artificial neural networks offer an advantage in that they are flexible and not limited to a specific structure and, therefore, may be superior in modeling complex nonlinear systems. selleck compound They have been used successfully in the past to model steady-state or near steady-state kinetics, but never have they been used to model induction-phase kinetics using a high-resolution pharmacokinetic dataset. This study is the first to use an artificial neural network to model early- and late-phase kinetics of a drug.

Twenty morbidly obese and 10 lean subjects were each administered propofol for induction of anesthesia amodel (mean prediction error 0.108; mean square error 31.61), which suffered from overprediction bias during the first 5 minutes followed by under-prediction bias after 5 minutes.

A recirculatory model and gated recurrent unit artificial neural network that incorporated ensemble learning both had similar performance and were both superior to a compartmental model in describing our high-resolution pharmacokinetic data of propofol. The potential of neural networks in pharmacokinetic modeling is encouraging but may be limited by the amount of training data available for these models.
A recirculatory model and gated recurrent unit artificial neural network that incorporated ensemble learning both had similar performance and were both superior to a compartmental model in describing our high-resolution pharmacokinetic data of propofol. The potential of neural networks in pharmacokinetic modeling is encouraging but may be limited by the amount of training data available for these models.
Increased pulse pressure has been associated with adverse cardiovascular events, cardiac and all-cause mortality in surgical and nonsurgical patients. Whether increased pulse pressure worsens myocardial injury and dysfunction after cardiac surgery, however, has not been fully characterized. We examined whether cardiac surgical patients with elevated pulse pressure are more susceptible to myocardial injury, dysfunction, cardiac-related complications, and mortality. Secondarily, we examined whether pulse pressure was a stronger predictor of the outcomes than systolic blood pressure.

This retrospective observational study included adult cardiac surgical patients having elective isolated on-pump coronary artery bypass grafting (CABG) between 2010 and 2017 at the Cleveland Clinic. The association between elevated pulse pressure and (1) perioperative myocardial injury, measured by postoperative troponin-T concentrations, (2) perioperative myocardial dysfunction, assessed by the requirement for perioperative ino pulse pressure was associated with a modest increase in postoperative troponin-T concentrations, but not postoperative cardiovascular complications or in-hospital mortality in patients having CABG. Pulse pressure was not a better predictor than systolic blood pressure.
Elevated preoperative pulse pressure was associated with a modest increase in postoperative troponin-T concentrations, but not postoperative cardiovascular complications or in-hospital mortality in patients having CABG. Pulse pressure was not a better predictor than systolic blood pressure.The double-lumen tubes (DLTs) are the most widely used devices to provide perioperative lung isolation. Airway rupture is a rare but life-threatening complication of DLTs. The primary aim of this review was to collect all cases reported in the literature about airway rupture caused by DLTs and to describe the reported possible contributors, diagnosis, treatment, and outcomes of this complication. Another aim of this review was to assess the possible factors associated with mortality after airway rupture by DLTs. A comprehensive literature search for all cases of airway rupture caused by DLTs was performed in the PubMed, EMBASE, Ovid, Wanfang Database, and CNKI. The extracted data included age, sex, height, weight, type of operation, type and size of DLT, site of airway rupture, possible contributors, clinical presentation, diagnosis timing, treatment, and outcome. We included 105 single case reports and 22 case series with a total number of 187 patients. Most of the ruptures were in the trachea (n = 98, 52.4%) and left main bronchus (n = 70, 37.4%). The common possible contributors include use of a stylet, cuff overdistention, multiple attempts to adjust the position of a DLT, difficult intubation, and use of an oversized DLT. Most of the airway ruptures were diagnosed intraoperatively (n = 138, 82.7%). Pneumomediastinum, air leakage, hypoxemia, and subcutaneous emphysema were the common clinical manifestations. Most patients were treated with surgical repair (n = 147, 78.6%). The mortality of the patients with airway rupture by DLTs was 8.8%. Age, sex, site of rupture, diagnosis timing, and method of treatment were not found to be associated with mortality.Acute respiratory distress syndrome (ARDS) is a significant cause of morbidity and mortality in the intensive care unit (ICU) and is characterized by lung epithelial and endothelial cell injury, with increased permeability of the alveolar-capillary membrane, leading to pulmonary edema, severe hypoxia, and difficulty with ventilation. The most common cause of ARDS is sepsis, and currently, treatment of ARDS and sepsis has consisted mostly of supportive care because targeted therapies have largely been unsuccessful. The molecular mechanisms behind ARDS remain elusive. Recently, a number of microRNAs (miRNAs) identified through high-throughput screening studies in ARDS patients and preclinical animal models have suggested a role for miRNA in the pathophysiology of ARDS. miRNAs are small noncoding RNAs ranging from 18 to 24 nucleotides that regulate gene expression via inhibition of the target mRNA translation or by targeting complementary mRNA for early degradation. Unsurprisingly, some miRNAs that are differentially expressed in ARDS overlap with those important in sepsis. In addition, circulatory miRNA may be useful as biomarkers or as targets for pharmacologic therapy. This can be revolutionary in a syndrome that has neither a measurable indicator of the disease nor a targeted therapy. While there are currently no miRNA-based therapies targeted for ARDS, therapies targeting miRNA have reached phase II clinical trials for the treatment of a wide range of diseases. Further studies may yield a unique miRNA profile pattern that serves as a biomarker or as targets for miRNA-based pharmacologic therapy. In this review, we discuss miRNAs that have been found to play a role in ARDS and sepsis, the potential mechanism of how particular miRNAs may contribute to the pathophysiology of ARDS, and strategies for pharmacologically targeting miRNA as therapy.
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