Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

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全麻复合硬膜外在高龄患者腹腔镜直肠癌根治术中的应用

目的:研究全麻复合硬膜外在高龄患者腹腔镜直肠癌根治术中的应用效果。方法:选择60岁以上择期行腹腔镜直肠癌根治术患者60例,随机分为G组和GA组,每组各30例。G组患者为单纯全麻组,GA组患者为硬膜外复合全麻组。GA组患者在诱导前取L1~2硬膜外穿刺置管,予0.5%罗哌卡因5 ml,术中每小时追加5~7 ml。两组患者诱导方法相同:即,咪哒唑仑0.04 mg/kg、舒芬太尼0.3~0.4μg/kg、顺阿曲库铵0.15~0.20 mg/kg、依托咪酯0.2~0.3 mg/kg。监测并记录患者血压(BP),心率(HR),心电图(ECG),术中全麻药用量及术后患者苏醒情况。结果:GA组患者气腹后、拔管前BP、HR明显低于G组(P<0.05),且全麻药用量明显低于G组(P<0.05)。结论:全麻复合硬膜外应用于老年腹腔镜直肠癌手术较单纯全麻用药量减少,术中循环更加稳定,是腹腔镜直肠癌根治术比较安全可行的麻醉方法。     

A Perioperative Care Display for Understanding High Acuity Patients

Background  The data visualization literature asserts that the details of the optimal data display must be tailored to the specific task, the background of the user, and the characteristics of the data. The general organizing principle of a concept-oriented display is known to be useful for many tasks and data types. Objectives  In this project, we used general principles of data visualization and a co-design process to produce a clinical display tailored to a specific cognitive task, chosen from the anesthesia domain, but with clear generalizability to other clinical tasks. To support the work of the anesthesia-in-charge (AIC) our task was, for a given day, to depict the acuity level and complexity of each patient in the collection of those that will be operated on the following day. The AIC uses this information to optimally allocate anesthesia staff and providers across operating rooms. Methods  We used a co-design process to collaborate with participants who work in the AIC role. We conducted two in-depth interviews with AICs and engaged them in subsequent input on iterative design solutions. Results  Through a co-design process, we found (1) the need to carefully match the level of detail in the display to the level required by the clinical task, (2) the impedance caused by irrelevant information on the screen such as icons relevant only to other tasks, and (3) the desire for a specific but optional trajectory of increasingly detailed textual summaries. Conclusion  This study reports a real-world clinical informatics development project that engaged users as co-designers. Our process led to the user-preferred design of a single binary flag to identify the subset of patients needing further investigation, and then a trajectory of increasingly detailed, text-based abstractions for each patient that can be displayed when more information is needed.     

EEG power spectral density under Propofol and its association with burst suppression,a marker of cerebral fragility

ObjectiveUnder General Anesthesia (GA), age and Burst Suppression (BS) are associated with cognitive postoperative complications, yet how these parameters are related to per-operative EEG and hypnotic doses is unclear. In this prospective study, we address this question comparing age and BS occurrences with a new score (BP_TIVA) based on Propofol doses, EEG and alpha-band power spectral densities, evaluated for SEF₉₅ = 8–13 Hz.Methods59 patients (55 [34–67] yr, 67% female) undergoing neuroradiology or orthopedic surgery were included. Total IntraVenous Anesthesia was used for Propofol and analgesics infusion. Cerebral activity was monitored from a frontal electrodes montage EEG.ResultsBP_TIVA was inversely correlated with age (Pearson r = −0.78, p < 0.001), and was significantly lower (p < 0.001) when BS occurred during the GA first minutes (induction). Additionally, the age-free BP_TIVA score was better associated with BS at induction than age (AUC = 0.94 versus 0.82, p < 0.05).ConclusionWe designed BP_TIVA score based on hypnotics and EEG. It was correlated with age yet was better associated to BS occurring during GA induction, the latter being a cerebral fragility sign.SignificanceThis advocate for an approach based on evaluating the cerebral physiological age (« brain age ») to predict postoperative cognitive evolution.     

Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters

BackgroundParkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms monitoring of PD is still mainly based on clinical evaluation, which includes several subjective factors. The use of machine learning (ML) algorithms in spatial-temporal gait parameters is an interesting advance with easy interpretation and objective factors that may assist in PD diagnostic and follow up.Research questionThis article studies ML algorithms for: i) distinguish people with PD vs. matched-healthy individuals; and ii) to discriminate PD stages, based on selected spatial-temporal parameters, including variability and asymmetry.MethodsGait data acquired from 63 people with PD with different levels of PD motor symptoms severity, and 63 matched-control group individuals, during self-selected walking speed, was study in the experiments.ResultsIn the PD diagnosis, a classification accuracy of 84.6 %, with a precision of 0.923 and a recall of 0.800, was achieved by the Naïve Bayes algorithm. We found four significant gait features in PD diagnosis: step length, velocity and width, and step width variability. As to the PD stage identification, the Random Forest outperformed the other studied ML algorithms, by reaching an Area Under the ROC curve of 0.786. We found two relevant gait features in identifying the PD stage: stride width variability and step double support time variability.SignificanceThe results showed that the studied ML algorithms have potential both to PD diagnosis and stage identification by analysing gait parameters.     

Anesthetic management of parturients with Arnold Chiari malformation-I: a multicenter retrospective study

BackgroundConsensus regarding the safest mode of delivery and anesthetic management for parturients with Arnold Chiari malformation-I (ACM-I) remains controversial. This study assessed their anesthetic management and reported anesthetic complications during hospitalization for delivery.MethodsThis was a multicenter, retrospective, cohort study of patients with ACM-I undergoing vaginal or cesarean delivery. Data were obtained from the electronic databases of four United States academic institutions using International Classification of Diseases (ICD) codes from 2007–2017 at three sites and 2004–2017 at one site. The primary outcome was anesthetic complications.ResultsData were analyzed for 185 deliveries in 148 patients. Diagnosis of ACM-I was made prior to delivery in 147 (80%) cases. Pre-delivery neurosurgical consultation for management of ACM-I was performed in 53 (36%) patients. Pre-existing symptoms were recorded for 89 (48%) of the deliveries. Vaginal deliveries occurred in 80 (43%) cases, and 62 women (78%) received neuraxial labor analgesia. Cesarean delivery was performed in 105 (57%) cases, of which 70 women (67%) had neuraxial anesthesia and 34 (32%) received general anesthesia. Post-dural puncture headache was reported in three (2%) patients who had neuraxial anesthesia, and in two (12%) patients with syringomyelia. There was one (3%) reported case of aspiration pneumonia with general anesthesia.ConclusionsThe findings suggest that anesthetic complications occur infrequently in patients with ACM-I regardless of the anesthetic management. Although institutional preference in anesthetic and obstetric care appears to drive patient management, the findings suggest that an individualized approach has favorable outcomes in this population.     

电针复合TCI靶控输注在单肺通气食管癌开胸手术麻醉中的应用与安全性＊

目的 探讨电针复合靶控输注（Target Controlled Infusion， TCI）在单肺通气食管癌开胸手术麻醉中的应用价值。方法 选取于我院拟行单肺通气食管癌开胸切除手术患者60例作为研究对象。随机将其分为试验组与对照组，对照组30例采取气管插管全麻及TCI靶控输注维持麻醉深度，试验组30例则在对照组方案基础上辅助电针麻醉，记录两组患者手术麻醉时间、药物用量、苏醒时间、并发症；以及术前（T_Ⅰ）、插管前即刻（T_Ⅱ）、插管后1 min（T_Ⅲ）、切皮即刻（T_Ⅳ）、去骨时（T_Ⅴ）、拔管即刻（T_Ⅵ）时平均动脉压（MAP）、平均心率（HR）、BIS值；术前、术后1天、术后3天简易智能精神状态检查量表（MMSE）；并于麻醉诱导前（T₀）、手术开始2 h（T₁）、术后1天（T₂）、术后3天（T₃）时抽取患者外周静脉血检测IL-1β、IL-6、IL-10、TNF-α浓度。结果 试验组手术用时、麻醉时间略低于对照组，但差异无统计学意义（P>0.05），试验组异丙酚、舒芬太尼用量以及苏醒时间均明显低于对照组（P<0.05）；T_Ⅱ时两组平均动脉压（Mean Arterial Pressure， MAP）、心率（Heartrate， HR）较术前明显降低，且试验组MAP明显低于对照组（P<0.05），但两组T_Ⅱ时HR比较无显著差异（P>0.05）；T_Ⅲ、T_Ⅵ时对照组MAP、HR明显高于T_Ⅰ时，而试验组MAP、HR与T_Ⅰ比较无显著差异（P>0.05）。术后1天、3天试验组简易智能精神状态检查量表（Mini-Mental State Examination， MMSE）评分低于对照组，有显著性差异（P<0.05）。T₁、T₂、T₃时试验组白介素-1β（IL-1β）、白介素-6（IL-6）、肿瘤坏死因子（Tumor Necrosis Factor-α， TNF-α）水平明显低于对照组（P<0.05），白介素-10（IL-10）水平明显高于对照组（P<0.05）。结论 采用电针复合TCI靶控输注麻醉方案可有效提升单肺通气食管癌开胸手术麻醉效果，能够降低患者术后认知功能障碍发生风险。     

丙泊酚复合瑞芬太尼喉罩全麻的效果分析与研究

目的 探讨丙泊酚复合瑞芬太尼喉罩全身麻醉(全麻)的效果。方法 62例腹腔镜、泌尿科、骨科、肛肠科、妇科等手术治疗的患者,随机分为实验组和对照组,每组31例。对照组采用常规气管插管静脉复合全麻,实验组给予靶控输注丙泊酚复合瑞芬太尼喉罩全麻。比较两组患者插入喉罩(插管)、插管1 min、插管3 min、拔出喉罩(拔管)1 min、拔管3 min时心率(HR)和平均动脉压(MAP)水平;不良反应发生情况、麻醉效果;全麻起效时间、维持全麻时间、术后苏醒时间。结果 实验组插管时、插管1 min、插管3 min、拔管1 min、拔管3 min的HR水平分别为(77.52±6.36)、(73.26±5.56)、(72.01±4.69)、(75.35±7.63)、(72.34±6.79)次/min,均低于对照组的(92.34±7.85)、(87.97±5.25)、(78.85±5.20)、(95.69±9.21)、(85.63±7.43)次/min,差异均具有统计学意义(P<0.05)。实验组插管时、插管1 min、插管3 min、拔管1 min、拔管3 min的MAP水平分别为(90.25±6.73)、(87.65±7.98)、(88.79±7.65)、(88.09±5.61)、(88.52±5.16)mm Hg(1 mm Hg=0.133 kPa),均低于对照组的(109.51±7.85)、(103.27±12.43)、(102.52±8.21)、(106.74±7.68)、(104.62±7.71)mm Hg,差异均具有统计学意义(P<0.05)。实验组不良反应发生率3.23%低于对照组的19.35%,差异具有统计学意义(P<0.05)。实验组麻醉总有效率96.77%均高于对照组的80.65%,差异均具有统计学意义(P<0.05)。实验组全麻起效、维持全麻、术后苏醒时间分别为(1.61±0.23)、(100.59±6.72)、(17.99±3.52)min,均短于对照组的(2.93±0.41)、(123.61±7.85)、(36.87±4.16)min,差异均具有统计学意义(P<0.05)。结论 针对腹腔镜等手术患者应用丙泊酚复合瑞芬太尼喉罩全麻对血液动力学影响小,不良反应发生率低,麻醉效果良好,降低对机体损伤,值得推广应用。