Anesthesia and analgesia最新文献

Background: Traditionally, diabetics have been considered patients with a high risk of aspiration due to having delayed gastric emptying; However, the evidence concerning residual gastric volume (GV) in fasting diabetic patients is inconsistent. This study aimed to compare the fasting GV of diabetic patients with or without dysautonomia with control patients scheduled for elective surgery using gastric ultrasound.

Methods: This bicentric prospective single-blinded case-control study was conducted at 2 university hospitals in Spain. Patients aged over 18 years, classified as American Society of Anesthesiologists (ASA) physical statuses I to III and having similar fasting statuses, were included in the study. The primary outcome was to compare the prevalence of risk stomach using the Perlas gastric content grading scale evaluated by ultrasound in the 3 groups. Secondary outcomes included the measurement of cross-sectional area (CSA) and GV in the right lateral decubitus (RLD) position, as well as the prevalence of solid gastric residue.

Results: A total of 289 patients were recruited for the study, comprising 145 diabetic patients (83 of whom had dysautonomia) and 144 patients in the control group. The percentage of patients classified as Perlas grade 2 was 13.2% in the control group, 16.1% in diabetic patients without dysautonomia, and 22.9% in diabetic patients with dysautonomia (P = .31). Antral CSA was significantly higher in diabetic patients with dysautonomia (6.5 [4.8-8.4]) compared to the control group (5.4 [4.0-7.2]; P = .04). However, no significant differences were observed between groups in residual GV. Among diabetic patients with dysautonomia, 12% exhibited solid gastric residue, which was twice the percentage observed in diabetic patients without dysautonomia (4.8%) and 3 times higher than that in the control group (3.5%; P = .03). The presence of dysautonomia was associated with an increased odds ratio of solid gastric residue (odds ratio [OR], 3.37; 95% confidence interval [CI], 1.28-8.87; P = .01) after adjusting for confounding factors.

Conclusions: This study offers insights into the relationship between dysautonomia in patients with diabetes mellitus and the presence of full stomach, underscoring the significance of preoperative gastric ultrasound evaluation in managing perioperative risks in this population.

Substance-use disorders (SUDs) represent a major public health concern. The increased prevalence of SUDs within the general population has led to more patients with SUD being admitted to intensive care units (ICUs) for an SUD-related condition or with SUD as a relevant comorbidity. Multiprofessional providers of critical care should be familiar with these disorders and their impact on critical illness. Management of critically ill patients with SUDs is complicated by both acute exposures leading to intoxication, the associated withdrawal syndrome(s), and the physiologic changes associated with chronic use that can cause, predispose patients to, and worsen the severity of other medical conditions. This article reviews the epidemiology of substance use in critically ill patients, discusses the identification and treatment of common intoxication and withdrawal syndromes, and provides evidence-based recommendations for the management of patients exposed to chronic use.

Background: Postoperative pulmonary complications (PPCs) occur frequently after cardiac surgery. Absolute postoperative values of biomarkers of inflammation (interleukin [IL]-6, IL-8, and tumor necrosis factor-alpha [TNF-α]) and alveolar epithelial injury (soluble receptor for advanced glycation end-products [sRAGE]) have been associated with hypoxia and prolonged ventilation. However, relationships between these biomarkers and PPCs, contextualized to preoperative inflammation and perioperative lung injury risk factors, are uncertain. We aimed to determine associations between perioperative increases in biomarkers of inflammation and alveolar epithelial injury with a patient-centric PPC definition in adult cardiac surgical patients, accounting for the influence of intraoperative risk factors for lung injury.

Methods: Adults undergoing elective cardiac surgery were eligible for this observational cohort study. Blood concentrations of IL-6, IL-8, TNF-α, and sRAGE were collected after anesthesia induction (baseline) and on postoperative day 1 (POD 1). The primary outcome was the occurrence of moderate or severe PPCs, graded using a validated scale, in POD 0 to 7. We estimated the association between POD 1 IL-6, IL-8, TNF-α, and sRAGE concentrations and moderate/severe PPC presence using separate logistic regression models for each biomarker, adjusted for baseline biomarker values and risk factors for postoperative lung injury (age, baseline PaO2/FiO2, left ventricle ejection fraction [LVEF], procedural type, cardiopulmonary bypass duration, and transfusions). Covariables were chosen based on relevance to lung injury and unadjusted between-group differences among patients with versus without PPCs. The secondary outcome was postoperative ventilation duration, which was log-transformed and analyzed using linear regression, adjusted using the same variables as the primary outcome.

Results: We enrolled 204 patients from 2016 to 2018. Biomarkers were analyzed in 2023 among 175 patients with complete data. In adjusted analyses, POD 1 IL-8 and IL-6 were significantly associated with moderate/severe PPCs. The odds ratio (OR) for developing a PPC for every 50 pg/mL increase in POD 1 IL-8 was 7.19 (95% confidence interval [CI], 2.13-28.53, P = .003) and 1.42 (95% CI, 1.13-1.93, P = .01) for every 50 pg/mL increase in POD 1 IL-6. In adjusted analyses, postoperative ventilation duration was significantly associated with POD 1 sRAGE; each 50 pg/mL increase in sRAGE was associated with a 25% (95% CI, 2%-52%, P = .03) multiplicative increase in hours of ventilation. TNF-α was not significantly associated with PPCs or ventilation duration.

Conclusions: Acute systemic inflammation is significantly associated with PPCs after elective cardiac surgery in adults when taking into consideration preoperative inflammatory burden and perioperative factors that may influence postoperative

Background: Neonates undergoing cardiac surgery require fibrinogen replacement to restore hemostasis after cardiopulmonary bypass (CPB). Cryoprecipitate is often the first-line treatment, but recent studies demonstrate that fibrinogen concentrate (RiaSTAP; CSL Behring) may be acceptable in this population. This investigator-initiated, randomized trial compares cryoprecipitate to fibrinogen concentrate in neonates undergoing cardiac surgery (ClinicalTrials.gov NCT03932240). The primary end point was the percent change in ex vivo clot degradation from baseline at 24 hours after surgery between groups. Secondary outcomes included intraoperative blood transfusions, coagulation factor levels, and adverse events.

Methods: Neonates were randomized to receive cryoprecipitate (control group) or fibrinogen concentrate (study group) as part of a post-CPB transfusion algorithm. Blood samples were drawn at 4 time points: presurgery (T1), after treatment (T2), arrival to the intensive care unit (ICU) (T3), and 24 hours postsurgery (T4). Using the mixed-effect models, we analyzed the percent change in ex vivo clot degradation from a patient's presurgery baseline at each time point. Intraoperative blood product transfusions, coagulation factor levels, perioperative laboratory values, and adverse events were collected.

Results: Thirty-six neonates were enrolled (intent to treat [ITT]). Thirteen patients in the control group and seventeen patients in the study group completed the study per protocol (PP). After normalizing to the patient's own baseline (T1), no significant differences were observed in clot degradation at T2 or T3. At T4, patients in the study group had greater degradation when compared to those in the control group (826.5%, 95% confidence interval [CI], 291.1-1361.9 vs -545.9%, 95% CI, -1081.3 to -10.4; P < .001). Study group patients received significantly less median post-CPB transfusions than control group patients (ITT, 27.2 mL/kg [19.0-36.9] vs 41.6 [29.2-52.4]; P = .043; PP 26.7 mL/kg [18.8-32.2] vs 41.2 mL/kg [29.0-51.4]; P < .001). No differences were observed in bleeding or thrombotic events.

Conclusions: Neonates who received fibrinogen concentrate, as compared to cryoprecipitate, have similar perioperative ex vivo clot degradation with faster degradation at 24 hours postsurgery, less post-CPB blood transfusions, and no increased bleeding or thrombotic complications. Our findings suggest that fibrinogen concentrate adequately restores hemostasis and reduces transfusions in neonates after CPB without increased bleeding or thrombosis risk.

Background: This study presents an analysis of machine-learning model performance in image analysis, with a specific focus on videolaryngoscopy procedures. The research aimed to explore how dataset diversity and size affect the performance of machine-learning models, an issue vital to the advancement of clinical artificial intelligence tools.

Methods: A total of 377 videolaryngoscopy videos from YouTube were used to create 6 varied datasets, each differing in patient diversity and image count. The study also incorporates data augmentation techniques to enhance these datasets further. Two machine-learning models, YOLOv5-Small and YOLOv8-Small, were trained and evaluated on metrics such as F1 score (a statistical measure that combines the precision and recall of the model into a single metric, reflecting its overall accuracy), precision, recall, mAP@50, and mAP@50-95.

Results: The findings indicate a significant impact of dataset configuration on model performance, especially the balance between diversity and quantity. The Multi-25 × 10 dataset, featuring 25 images from 10 different patients, demonstrates superior performance, highlighting the value of a well-balanced dataset. The study also finds that the effects of data augmentation vary across different types of datasets.

Conclusions: Overall, this study emphasizes the critical role of dataset structure in the performance of machine-learning models in medical image analysis. It underscores the necessity of striking an optimal balance between dataset size and diversity, thereby illuminating the complexities inherent in data-driven machine-learning development.

Background: The majority of opioid analgesics prescribed for pain after ambulatory pediatric surgery remain unused. Most parents do not dispose of these leftover opioids or dispose of them in an unsafe manner. We aimed to evaluate the association of optimal opioid disposal with a multidisciplinary quality improvement (QI) initiative that proactively educated parents about the importance of optimal opioid disposal practices and provided a home opioid disposal kit before discharge after pediatric ambulatory surgery.

Methods: Opioid disposal behaviors were assessed during a brief telephone interview pre- (Phase I) and post-implementation (Phase II) after surgery. For each phase, we aimed to contact the parents of 300 pediatric patients ages 0 to 17 years who were prescribed an opioid after an ambulatory surgery. The QI initiative included enhanced education and a home opioid disposal kit including DisposeRX®, a medication disposal packet that renders medications inert within a polymeric gel when mixed with water. Weighted segmented regression models evaluated the association between the QI initiative and outcomes. We considered the association between the QI initiative and outcome significant if the beta coefficient for the change in intercept between the end of Phase I and the beginning of Phase II was significant. Safe opioid disposal and any opioid disposal were evaluated as secondary outcomes.

Results: The analyzed sample contained 161 pediatric patients in Phase I and 190 pediatric patients in Phase II. Phase II (post-QI initiative) cohort compared to Phase I cohort reported higher rates of optimal (58%, n = 111/190 vs 11%, n = 18/161) and safe (66%, n = 125/190 vs 34%, n = 55/161) opioid disposal. Weighted segmented regression analyses demonstrated significant increases in the odds of optimal (odds ratio [OR], 26.5, 95% confidence interval [CI], 4.0-177.0) and safe (OR, 4.4, 95% CI, 1.1-18.4) opioid disposal at the beginning of Phase II compared to the end of Phase I. The trends over time (slopes) within phases were nonsignificant and close to 0. The numbers needed to be exposed to achieve one new disposal event were 2.2 (95% CI, 1.4-3.7]), 3.1 (95% CI, 1.6-7.4), and 4.3 (95% CI, 1.7-13.6) for optimal, safe, and any disposal, respectively.

Conclusions: A multidisciplinary approach to educating parents on the importance of safe disposal of leftover opioids paired with dispensing a convenient opioid disposal kit was associated with increased odds of optimal opioid disposal.

Background: Implementation of goal-directed fluid therapy (GDFT) protocols remains low. Protocol compliance among anesthesiologists tends to be suboptimal owing to the high workload and the attention required for implementation. The assisted fluid management (AFM) system is a novel decision support tool designed to help clinicians apply GDFT protocols. This system predicts fluid responsiveness better than anesthesia practitioners do and achieves higher stroke volume (SV) and cardiac index values during surgery. We tested the hypothesis that an AFM-guided GDFT strategy would also be associated with better sublingual microvascular flow compared to a standard GDFT strategy.

Methods: This bicenter, parallel, 2-arm, prospective, randomized controlled, patient and assessor-blinded, superiority study considered for inclusion all consecutive patients undergoing high-risk abdominal surgery who required an arterial catheter and uncalibrated SV monitoring. Patients having standard GDFT received manual titration of fluid challenges to optimize SV while patients having an AFM-guided GDFT strategy received fluid challenges based on recommendations from the AFM software. In all patients, fluid challenges were standardized and titrated per 250 mL and vasopressors were administered to maintain a mean arterial pressure >70 mm Hg. The primary outcome (average of each patient's intraoperative microvascular flow index (MFI) across 4 intraoperative time points) was analyzed using a Mann-Whitney U test and the treatment effect was estimated with a median difference between groups with a 95% confidence interval estimated using the bootstrap percentile method (with 1000 replications). Secondary outcomes included SV, cardiac index, total amount of fluid, other microcirculatory variables, and postoperative lactate.

Results: A total of 86 patients were enrolled over a 7-month period. The primary outcome was significantly higher in patients with AFM (median [Q1-Q3]: 2.89 [2.84-2.94]) versus those having standard GDFT (2.59 [2.38-2.78] points, median difference 0.30; 95% confidence interval [CI], 0.19-0.49; P < .001). Cardiac index and SVI were higher (3.2 ± 0.5 vs 2.7 ± 0.7 l.min-1.m-2; P = .001 and 42 [35-47] vs 36 [32-43] mL.m-2; P = .018) and arterial lactate concentration was lower at the end of the surgery in patients having AFM-guided GDFT (2.1 [1.5-3.1] vs 2.9 [2.1-3.9] mmol.L-1; P = .026) than patients having standard GDFT strategy. Patients having AFM received a higher fluid volume but 3 times less norepinephrine than those receiving standard GDFT (P < .001).

Conclusions: Use of an AFM-guided GDFT strategy resulted in higher sublingual microvascular flow during surgery compared to use of a standard GDFT strategy. Future trials are necessary to make conclusive recommendations that will change clinical practice.

One of the functions of organism cells is to maintain energy homeostasis to promote metabolism and adapt to the environment. The 3 major pathways of cellular energy metabolism are glycolysis, the tricarboxylic acid (TCA) cycle, and oxidative phosphorylation (OXPHOS). Neurons, astrocytes, and microglia are crucial in allodynia, hyperalgesia, and sensitization in nociceptive pathways. This review focused on these 3 major cellular energy metabolism pathways, aiming to elucidate the relationship between neurocyte and pain sensation and present the reprogramming of energy metabolism on pain, as well as the cellular and molecular mechanism underlying various forms of pain. The clinical and preclinical drugs involved in pain treatment and molecular mechanisms via cellular energy metabolism were also discussed.

Background: Dexmedetomidine and ketamine have long elimination half-lives in humans and have no clinically approved reversal agents. Methylphenidate enhances dopaminergic and noradrenergic neurotransmission by inhibiting reuptake transporters for these arousal-promoting neurotransmitters. Previous studies in rats demonstrated that intravenous methylphenidate induces emergence from isoflurane and propofol general anesthesia. These 2 anesthetics are thought to act primarily through enhancement of inhibitory Gamma-aminobutyric acid type A (GABAA) receptors. In this study, we tested the behavioral and neurophysiological effects of methylphenidate in rats after low and high doses of dexmedetomidine (an alpha-2 adrenergic receptor agonist) and ketamine (an N-methyl-D-aspartate [NMDA] receptor antagonist) that induce sedation and unconsciousness, respectively.

Methods: All experiments used adult male and female Sprague-Dawley rats (n = 32 total) and all drugs were administered intravenously in a crossover, blinded experimental design. Locomotion after sedating doses of dexmedetomidine (10 µg/kg) or ketamine (10 mg/kg) with and without methylphenidate (5 mg/kg) was tested using the open field test (n = 16). Recovery of righting reflex after either high-dose dexmedetomidine (50 µg/kg) or high-dose ketamine (50 mg/kg) with and without methylphenidate (1-5 mg/kg) was assessed in a second cohort of rats (n = 8). Finally, in a third cohort of rats (n = 8), frontal electroencephalography (EEG) was recorded for spectral analysis under both low and high doses of dexmedetomidine and ketamine with and without methylphenidate.

Results: Low-dose dexmedetomidine reduced locomotion by 94% in rats. Methylphenidate restored locomotion after low-dose dexmedetomidine (rank difference = 88.5, 95% confidence interval [CI], 70.8-106) and the effect was blocked by coadministration with a dopamine D1 receptor antagonist (rank difference = 86.2, 95% CI, 68.6-104). Low-dose ketamine transiently attenuated mobility by 58% and was not improved with methylphenidate. Methylphenidate did not affect the return of righting reflex latency in rats after high-dose dexmedetomidine nor ketamine. Frontal EEG analysis revealed that methylphenidate reversed spectral changes induced by low-dose dexmedetomidine (F [8,87] = 3.27, P = .003) but produced only transient changes after high-dose dexmedetomidine. Methylphenidate did not induce spectral changes in the EEG after low- or high-dose ketamine.

Conclusions: Methylphenidate reversed behavioral and neurophysiological correlates of sedation, but not unconsciousness, induced by dexmedetomidine. In contrast, methylphenidate did not affect sedation, unconsciousness, nor EEG signatures in rats after ketamine. These findings suggest that methylphenidate may be efficacious to reverse dexmedetomidine sedation in humans.