Aortic dissection is a life-threatening cardiovascular disease with devastating complications and high mortality. It requires rapid and accurate diagnosis and a focus on prognosis. Many laboratory tests are routinely performed in patients with aortic dissection including D-dimer, brain natriuretic peptide, cardiac troponin I, C-reactive protein, and procalcitonin. D-dimer shows vital performance in the diagnosis of aortic dissection, and brain natriuretic peptide, cardiac troponin I, C-reactive protein, and procalcitonin exhibits important value in risk stratification and prognostic effect in aortic dissection patients. Our review summarized the clinical utility of these laboratory tests in patients with aortic dissection, aiming to provide advanced and comprehensive evidence for clinicians to better understand these laboratory tests and help their clinical practice.

OBJECTIVES: To investigate the regulatory role of astrocytes in the dorsomedial hypothalamus (DMH) during sevoflurane anesthesia emergence. METHODS: Forty-two male C57BL/6 mice were randomized into 6 groups (n=7) for assessing astrocyte activation in the dorsomedial hypothalamus (DMH) under sevoflurane anesthesia. Two groups of mice received microinjection of agfaABC1D promoter-driven AAV2 vector into the DMH for GCaMP6 overexpression, and the changes in astrocyte activity during sevoflurane or air inhalation were recorded using calcium imaging. For assessing optogenetic activation of astrocytes, another two groups of mice received microinjection of an optogenetic virus or a control vector into the DMH with optic fiber implantation, and sevoflurane anesthesia emergence was compared using behavioral experiments. In the remaining two groups, electroencephalogram (EEG) recording during sevoflurane anesthesia emergence was conducted after injection of the hChR2-expressing and control vectors. Anesthesia induction and recovery were assessed by observing the righting reflex. EEG data were recorded under 2.0% sevoflurane to calculate the burst suppression ratio (BSR) and under 1.5% sevoflurane for power spectrum analysis. Immunofluorescence staining was performed to visualize the colocalization of GFAP-positive astrocytes with viral protein signals. RESULTS: Astrocyte activity in the DMH decreased progressively as sevoflurane concentration increased. During 2.0% sevoflurane anesthesia, the mice injected with the ChR2-expressing virus exhibited a significantly shortened wake-up time (P<0.05), and optogenetic activation of the DMH astrocytes led to a marked reduction in BSR (P<0.001). Under 1.5% sevoflurane anesthesia, optogenetic activation resulted in a significant increase in EEG gamma power and a significant decrease in delta power in ChR2 group (P<0.01). CONCLUSIONS Optogenetic activation of DMH astrocytes facilitates sevoflurane anesthesia emergence but does not significantly influence anesthesia induction. These findings offer new insights into the mechanisms underlying anesthesia emergence and may provide a potential target for accelerating postoperative recovery and managing anesthesia-related complications.
Animals ; Astrocytes/physiology* ; Sevoflurane ; Mice, Inbred C57BL ; Mice ; Male ; Electroencephalography ; Anesthetics, Inhalation/pharmacology* ; Hypothalamus/cytology* ; Anesthesia Recovery Period ; Methyl Ethers/pharmacology*

OBJECTIVE: To develop and compare risk prediction models for in-hospital post-cardiac arrest brain injury (PCABI) in critically ill patients using nomograms and random forest algorithms, aiming to identify the optimal model for early identification of high-risk PCABI patients and providing evidence for precise treatment. METHODS: A retrospective cohort study was used to collect the first-time in-hospital cardiac arrest (IHCA) patients admitted to the intensive care unit (ICU) from 2008 to 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) as the study population, and the patients' age, gender, body mass, health insurance utilization, first vital signs and laboratory tests within 24 hours of ICU admission, mechanical ventilation, and critical care scores were extracted. Independent influencing factors of PCABI were identified through univariate and multivariate Logistic regression analyses. The included patients were randomly divided into a training cohort and an internal validation cohort in a 7:3 ratio, and the PCABI risk prediction model was constructed by the nomogram and random forest algorithm, respectively, and the model was evaluated by receiver operator characteristic curve (ROC curve), the calibration curve, and the decision curve analysis (DCA), and after the better model was selected, 179 patients admitted to Tianjin Medical University General Hospital as the external validation cohort for external evaluation were collected by using the same inclusion and exclusion criteria. RESULTS: A total of 1 419 patients with without traumatic brain injury who had their first-time IHCA were enrolled, including 995 in the training cohort (including 176 PCABI and 819 non-PCABI) and 424 in the internal validation cohort (including 74 PCABI and 350 non-PCABI). Univariate and multivariate analysis showed that age, potassium, urea nitrogen, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation III (APACHE III), and mechanical ventilation were independent influences on the occurrence of PCABI in patients with IHCA (all P < 0.05). Combining the above variables, we constructed a nomogram model and a random forest model for comparison, and the results show that the nomogram model has better predictive efficacy than the random forest model [nomogram model: area under the ROC curve (AUC) of the training cohort = 0.776, with a 95% credible interval (95%CI) of 0.741-0.811; internal validation cohort AUC = 0.776, with a 95%CI of 0.718-0.833; random forest model: AUC = 0.720, with a 95%CI of 0.653-0.787], and they performed similarly in terms of calibration curves, but the nomogram performed better in terms of decision curve analysis (DCA); at the same time, the nomogram model was robust in terms of external validation cohort (external validation cohort AUC = 0.784, 95%CI was 0.692-0.876). CONCLUSIONS A nomogram risk prediction model for the occurrence of PCABI in critically ill patients was successfully constructed, which performs better than the random forest model, helps clinicians to identify the risk of PCABI in critically ill patients at an early stage and provides a theoretical basis for early intervention.
Humans ; Critical Illness ; Retrospective Studies ; Heart Arrest/complications* ; Nomograms ; Brain Injuries/etiology* ; Intensive Care Units ; Algorithms ; Male ; Female ; Middle Aged ; ROC Curve ; Risk Factors ; Risk Assessment ; Logistic Models ; Aged

Objective: To compare quality control (relative purity and specific activity) and process control [plasminogen (Pg) antigen recovery and potency recovery] indexes of samples before and after adding the Q chromatography step to the full chromatography process of human Pg, thereby determining whether the addition of this step could improve Pg recovery by affinity chromatography. Methods: A Q chromatography step was added before the Pg affinity chromatography in the original Pg chromatography process. The loading solution, flow through solution and eluate of Q chromatography and Pg affinity chromatography were collected. The potency of coagulation factor Ⅱ (FⅡ), Ⅶ (FⅦ), Ⅷ (FⅧ), Ⅸ (FⅨ), and Ⅹ(FⅩ) were detected by the coagulation method, the total protein content was detected by the BCA method, and the Pg potency was detected by the chromogenic substrate method. The content of specific plasma proteins was detected by immunoturbidimetry, the potency recovery of coagulation factors was calculated, and the flow direction of coagulation factors was analyzed. The recovery of different plasma protein antigens were calculated, and the distribution of impurity proteins was analyzed. The relative purity and specific activity of Pg, antigen content, and potency recovery in the target fractions were calculated and compared with the original process indicators, so as to determine the effect of adding Q chromatography on the original process. Furthermore, the reproducibility after process modification was assessed. Results: 100% of FⅡ, FⅩ, and FⅨ, 87.81% of FⅧ, and 40.44% of FⅦ in filtered plasma were removed by Q chromatography. The residual FⅦ (53.26%) and FⅧ (13.30%) in Q flow-through fraction were completely removed by Pg affinity chromatography. In both the original process (without Q-chromatography) and the modified process (with Q-chromatography), non-target plasma proteins mainly existed in the flow-through fraction of Pg affinity chromatography. The antigen recovery of IgM, ceruloplasmin (CER), and fibronectin (FNC) in Q-chromatography flow-through fraction were reduced. In contrast, antigen recovery of other plasma proteins [IgG, IgA, Pg, albumin (AlB), alpha-1-antitrypsin (AAT), and fibrinogen (Fg)] were all >90%, which were consistent with the protein composition and proportion in the original affinity chromatography loading solution. Compared with the recovery rate of Pg antigen in the original process (74.4%), the total recovery of Pg antigen in the modified process was significantly increased (89.97%). Compared with the recovery of IgG (97.48%) and Fg (95.32%) in the Pg affinity flows-through fraction of the original process, the modified process resulted in a slight reduction in the recovery of IgG (94.60%), while the recovery of Fg was not affected (95.05%). The potency recovery rate, specific activity, and relative purity of Pg after Q chromatography were 99.3%, 0.016 U/mg, and 0.15%. These values were the same as those of Pg affinity chromatography loading solution by the original process, indicating that introduction of Q chromatography did not affect subsequent Pg affinity chromatography. Compared with the recovery of Pg antigen in three batches of the original process (66.49±1.02)%, the recovery of Pg antigen in the affinity chromatography eluent of the modified process [five batches; (77.43±4.43)%] was significantly improved. Furthermore, the potency recovery was (86.80±4.28)%, the relative purity was (81.99±1.25)%, the specific activity was (8.679±1.073)U/mg, and the process was reproducible. Conclusion: The addition of Q chromatography could improve the recovery of Pg affinity chromatography in the full chromatography process.

[Objective] To determine the feasibility of preparing plasminogen (Pg) with Fraction Ⅲ precipitation (hereinafter referred to as FⅢ-P) from low-temperature ethanol process by full chromatography (hereinafter referred to as FⅢ-P process). [Methods] The FⅢ-P was diluted with dissolution buffer at different dilution times and stirring time. The potency and antigen concentration of Pg in dissolution sample were detected and the dissolution and clarification conditions were determined. Pre-treatment of loading sample and pre-experiment of affinity chromatography were carried out on the FⅢ-P dissolution sample to judge whether the loading sample had an impact on the chromatography by observing the performance of the affinity chromatography column and to evaluate whether the affinity chromatography could achieve the purpose of purifying Pg by detecting the plasma protein antigen concentration and Pg potency of the samples in the process. Two batches of FⅢ-P process were studied step by step, and the specific activity, steps and total recovery, and the output of Pg per ton of plasma were calculated. The feasibility of preparing Pg by FⅢ-P process was evaluated by comparing with the data of full chromatography process using plasma as raw material (hereinafter referred to as plasma process). [Results] The FⅢ-P was dissolved with 10 times of dissolution buffer, stirred for 1 hour, centrifuged at room temperature of 10 000×g for 15 minutes. The supernatant was first filtered with a screen, then clarified with an 8/0.8 μm filter, and finally filtered with a 0.45/0.2 μm filter and loaded. Pre-test showed that from clarification and filtration to Pg affinity chromatography, the step recovery of activity and antigen was 39.51% and 108.64%, respectively, the antigen concentration of Pg increased by 31.16 times and the activity increased by 11.39 times after affinity chromatography, which reaching the effect of affinity chromatography purification of Pg. The results of 2 batches of step-by-step scale-up FⅢ-P process showed that the total recoveries of antigen and activity from plasma to SP chromatography of FⅢ-P process were (45.76±1.10)% and (24.15±0.59)%, respectively, which had a total loss of about 1/3 of antigen and about 2/3 of activity compared to the plasma process. The Pg specific activity of SP chromatography eluent was (4.68±0.25) U/mg, which was about half of that of plasma process, but meeted the internal standard of > 4 U/mg. The output of Pg antigen per ton of plasma in the FⅢ-P process was 68.73% of that in the plasma process, and the output of Pg activity per ton of plasma in the plasma process was 29.82% of that in the plasma process, which basically achieved the purpose of waste utilization of FⅢ-P. [Conclusion] The technical route of preparing Pg from FⅢ-P by full chromatography is feasible.

Objective To investigate the role of glutamatergic neurons in the dorsomedial periaqueductal grey(dmPAG)in regulating excessive defensive behaviors in mice with post-traumatic stress disorder(PTSD).Methods Eight-week-old male C57BL/6 mice were subjected to stereotactic injections of different recombinant adeno-associated viral vectors(rAAV2/9-CaMKⅡ-mCherry,rAAV2/9-CaMKⅡ-hM3Dq-mCherry and rAAV2/9-CaMKⅡ-hM4Di-mCherry)into the bilateral dmPAG for chemogenetic activation or inhibition of the glutamatergic neurons,followed 2 weeks later by PTSD modeling by single prolonged stress.The looming test,response to whisker stimulation test and contextual fear conditioning(CFC)test were used to observe changes in defensive behaviors of the PTSD mice.The activity of glutamatergic neurons in the dmPAG were observed using immunofluorescence staining.Results Compared with the control mice,the mouse models of PTSD showed a shortened latency of flights with increased time spent in the nest,response scores of defensive behaviors and freezing time(all P<0.01).Immunofluorescence staining revealed significantly increased c-fos-positive glutamatergic neurons in the dmPAG of PTSD mice with defensive behaviors.Activation of the glutamatergic neurons in the dmPAG(in PTSD hM3Dq group)did not cause significant changes in the latency of flights or time in nest but obviously increased response scores of defensive behaviors and freezing time of the mice,whereas inhibiting the glutamatergic neurons in the dmPAG(in PTSD hM4Di group)caused the reverse changes and obviously alleviated defensive behaviors in the PTSD mice(P<0.05 or 0.01).Conclusion Inhibiting the activity of glutamatergic neurons in the dmPAG can alleviate defensive behaviors in mice with PTSD.

Objective To investigate the role of glutamatergic neurons in the dorsomedial periaqueductal grey(dmPAG)in regulating excessive defensive behaviors in mice with post-traumatic stress disorder(PTSD).Methods Eight-week-old male C57BL/6 mice were subjected to stereotactic injections of different recombinant adeno-associated viral vectors(rAAV2/9-CaMKⅡ-mCherry,rAAV2/9-CaMKⅡ-hM3Dq-mCherry and rAAV2/9-CaMKⅡ-hM4Di-mCherry)into the bilateral dmPAG for chemogenetic activation or inhibition of the glutamatergic neurons,followed 2 weeks later by PTSD modeling by single prolonged stress.The looming test,response to whisker stimulation test and contextual fear conditioning(CFC)test were used to observe changes in defensive behaviors of the PTSD mice.The activity of glutamatergic neurons in the dmPAG were observed using immunofluorescence staining.Results Compared with the control mice,the mouse models of PTSD showed a shortened latency of flights with increased time spent in the nest,response scores of defensive behaviors and freezing time(all P<0.01).Immunofluorescence staining revealed significantly increased c-fos-positive glutamatergic neurons in the dmPAG of PTSD mice with defensive behaviors.Activation of the glutamatergic neurons in the dmPAG(in PTSD hM3Dq group)did not cause significant changes in the latency of flights or time in nest but obviously increased response scores of defensive behaviors and freezing time of the mice,whereas inhibiting the glutamatergic neurons in the dmPAG(in PTSD hM4Di group)caused the reverse changes and obviously alleviated defensive behaviors in the PTSD mice(P<0.05 or 0.01).Conclusion Inhibiting the activity of glutamatergic neurons in the dmPAG can alleviate defensive behaviors in mice with PTSD.

Objective To propose a deep learning neural network approach for transforming megavoltage computed tomography(MVCT)images of cervical cancer into pseudo kilovoltage computed tomography(kVCT)images with high signal-to-noise ratio and contrast-to-noise ratio,thus providing three-dimensional anatomical images and localization information required for adaptive radiotherapy of cervical cancer,and guiding the accelerator to achieve precise treatment.Methods The MVCT and kVCT images of 54 patients treated with cervical cancer radiotherapy were collected,with 44 cases randomly selected as the training set,and the remaining 10 cases as the test set.A cyclic generative adversarial network with gating mechanism and multi-channel data input was used to synthesize pseudo-kVCT images from MVCT images.The network training results were evaluated with imaging quality evaluation parameters,such as mean absolute error(MAE),peak signal-to-noise ratio(PSNR),and structural similarity index(SSIM).Results The MAE,PSNR,and SSIM of MVCT imagesvspseudo-kVCT(5:5)images were(24.9±0.7)HUvs(17.8±0.3)HU,(29.8±0.2)dBvs(30.7±0.2)dB,and 0.841±0.007 vs 0.898±0.003,respectively.Conclusion The generated pseudo-kVCT images have advantages in noise reduction and contrast enhancement,and can reduce the need for additional MV-kVCT electron density calibration in dose calculations.The dose calculation ability of pseudo-kVCT is comparable to that of MVCT,providing a possibility for the application of pseudo-kVCT images in image-guided adaptive radiotherapy.

Objective:To explore the application value of breast ultrasound structured report in the clinical teaching of standardized residency training of ultrasonography.Methods:Forty-eight residents from the Department of Ultrasonography in Renmin Hospital of Wuhan University were selected as the research objects, and were randomly divided into experimental group and control group in average. The experimental group used structured report template to write the breast ultrasound report, while the control group used free text. After 1 month of clinical teaching, the teachers who were not clear about the grouping assessed and analyzed the differences between the two groups of residents in grasping the characteristics of lesions and reporting content. At the same time, the students were asked to fill in a questionnaire for self-evaluation to analyze the learning situation of the two groups of students. SPSS 21.0 statistical analysis software was used for t-test and Chi-square test. Results:In terms of teacher evaluation, the scores of residents in the experimental group were higher than those in the control group in terms of completeness of report content, accuracy of description of peripheral conditions of lesions, standardization of professional terms and practicality of differential diagnosis (all P<0.001). There was no significant difference in the accuracy of lesion description between the two groups ( P=0.342). In terms of self-evaluation of residents in the standardized residency training, the evaluations of residents in the experimental group on the degree of mastery of knowledge points, clinical thinking cultivation and satisfaction of teaching mode were significantly higher than those of residents in the control group ( P=0.006, 0.012, <0.001, respectively). There were no significant differences between the two groups in learning interest and operation convenience ( P=0.186, 0.065, respectively). Conclusions:The structured report of breast ultrasound is helpful for the residents to master the characteristics of lesions and write a complete and professional report. It is also helpful for them to improve the standardization of operation and clinical thinking ability.

The treatment of acute Stanford type A aortic dissection has always been extremely challenging. Organ malperfusion syndrome is a common severe complication of acute aortic dissection, which can cause organ ischemia and internal environment disorder. Malperfusion increases early mortality, and impacts the long-term prognosis. In recent years, many scholars have done some studies on aortic dissection complicated with malperfusion. They explored the pathogenesis, proposed new classification, and innovated new treatment strategies. However, at present, the treatment strategies of acute Stanford type A aortic dissection complicated with organ malperfusion are different at different centers and consensus on its treatment is still lacking. Therefore, this review summarized the pathogenesis, classification, treatment strategy, and prognosis of acute Stanford type A aortic dissection complicated with malperfusion.