A group VIIIa ethylene-responsive factor, CmERF4, negatively regulates waterlogging tolerance in chrysanthemum.

Ethylene-responsive factors (ERF) play an important role in plant responses to waterlogging stress. However, the function and mechanism of action of ERFVIII in response to waterlogging stress remain poorly understood. In this study, we found that expression of the ERF VIIIa gene CmERF4 in chrysanthemum was induced by waterlogging stress. CmERF4 localized to the nucleus when expressed in tobacco leaves. Yeast two-hybrid and luciferase assays showed that CmERF4 is a transcriptional inhibitor. CmERF4 overexpression in chrysanthemum reduced plant waterlogging tolerance, whereas overexpression of the chimeric activator CmERF4-VP64 reversed its transcriptional activity, promoting higher waterlogging tolerance than that observed in wild-type plants, indicating that CmERF4 negatively regulates waterlogging tolerance. Transcriptome profiling showed that energy metabolism and reactive oxygen species (ROS) pathway-associated genes were differentially expressed between CmERF4-VP64 and wild-type plants. RT-qPCR analysis of selected energy metabolism and reactive oxygen species-related genes showed that the gene expression patterns were consistent with the expression levels obtained from RNA-seq analysis. Overall, we identified new functions of CmERF4 in negatively regulating chrysanthemum waterlogging tolerance by modulating energy metabolism and ROS pathway genes.

Predictive value of quality of life as measured by KCCQ in heart failure patients: A meta-analysis.

BACKGROUND: Studies on the predictive ability of disease-specific health quality of life (QoL) in patients with heart failure (HF) have produced conflicting results. To address these gaps in knowledge, we conducted a meta-analysis to evaluate the predictive value of QoL measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) in patients with HF. MATERIALS AND METHODS: We searched PubMed, and Embase databases to identify studies investigating the predictive utility of baseline QoL measured by the KCCQ in HF patients. The outcome measures were all-cause mortality and HF hospitalisation. The predictive value of QoL was expressed by pooling the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the bottom versus the top category of KCCQ score or for per 10-point KCCQ score decrease. RESULTS: Twelve studies reporting on 11 articles with a total of 34,927 HF patients were identified. Comparison of the bottom with the top KCCQ score, the pooled adjusted HR was 2.34 (95% CI 2.10-2.60) and 2.53 (95% CI 2.23-2.88) for all-cause mortality and HF hospitalisation, respectively. Additionally, a 10-point decrease in KCCQ score was associated with a 12% (95% CI 7%-16%) increased risk of all-cause mortality and a 14% (95% CI 13%-15%) increased risk of HF hospitalisation. CONCLUSIONS: Poor health-related QoL as determined by the lower KCCQ score, was associated with an increased risk of all-cause mortality and HF hospitalisation in patients with HF. Measuring disease-specific health-related QoL using the KCCQ score may provide valuable predictive information for HF patients.

LncRNA PSR Regulates Vascular Remodeling Through Encoding a Novel Protein Arteridin.

RATIONALE: Vascular smooth muscle cells (VSMCs) phenotype switch from contractile to proliferative phenotype is a pathological hallmark in various cardiovascular diseases. Recently, a subset of long noncoding RNAs was identified to produce functional polypeptides. However, the functional impact and regulatory mechanisms of long noncoding RNAs in VSMCs phenotype switching remain to be fully elucidated. OBJECTIVES: To illustrate the biological function and mechanism of a VSMC-enriched long noncoding RNA and its encoded peptide in VSMC phenotype switching and vascular remodeling. RESULTS: We identified a VSMC-enriched transcript encoded by a previously uncharacterized gene, which we called phenotype switching regulator (PSR), which was markedly upregulated during vascular remodeling. Although PSR was annotated as a long noncoding RNA, we demonstrated that the lncPSR (PSR transcript) also encoded a protein, which we named arteridin. In VSMCs, both arteridin and lncPSR were necessary and sufficient to induce phenotype switching. Mechanistically, arteridin and lncPSR regulate downstream genes by directly interacting with a transcription factor YBX1 (Y-box binding protein 1) and modulating its nuclear translocation and chromatin targeting. Intriguingly, the PSR transcription was also robustly induced by arteridin. More importantly, the loss of PSR gene or arteridin protein significantly attenuated the vascular remodeling induced by carotid arterial injury. In addition, VSMC-specific inhibition of lncPSR using adeno-associated virus attenuated Ang II (angiotensin II)-induced hypertensive vascular remodeling. CONCLUSIONS: PSR is a VSMC-enriched gene, and its transcript IncPSR and encoded protein (arteridin) coordinately regulate transcriptional reprogramming through a shared interacting partner, YBX1. This is a previously uncharacterized regulatory circuit in VSMC phenotype switching during vascular remodeling, with lncPSR/arteridin as potential therapeutic targets for the treatment of VSMC phenotype switching-related vascular remodeling.

Abnormal ambiguous facial expression recognition in Chinese patients with schizophrenia.

BACKGROUND: Patients with schizophrenia (SCZ) exhibit difficulties deficits in recognizing facial expressions with unambiguous valence. However, only a limited number of studies have examined how these patients fare in interpreting facial expressions with ambiguous valence (for example, surprise). Thus, we aimed to explore the influence of emotional background information on the recognition of ambiguous facial expressions in SCZ. METHODS: A 3 (emotion: negative, neutral, and positive) × 2 (group: healthy controls and SCZ) experimental design was adopted in the present study. The experimental materials consisted of 36 images of negative emotions, 36 images of neutral emotions, 36 images of positive emotions, and 36 images of surprised facial expressions. In each trial, a briefly presented surprised face was preceded by an affective image. Participants (36 SCZ and 36 healthy controls (HC)) were required to rate their emotional experience induced by the surprised facial expressions. Participants' emotional experience was measured using the 9-point rating scale. The experimental data have been analyzed by conducting analyses of variances (ANOVAs) and correlation analysis. RESULTS: First, the SCZ group reported a more positive emotional experience under the positive cued condition compared to the negative cued condition. Meanwhile, the HC group reported the strongest positive emotional experience in the positive cued condition, a moderate experience in the neutral cued condition, and the weakest in the negative cue condition. Second, the SCZ (vs. HC) group showed longer reaction times (RTs) for recognizing surprised facial expressions. The severity of schizophrenia symptoms in the SCZ group was negatively correlated with their rating scores for emotional experience under neutral and positive cued condition. CONCLUSIONS: Recognition of surprised facial expressions was influenced by background information in both SCZ and HC, and the negative symptoms in SCZ. The present study indicates that the role of background information should be fully considered when examining the ability of SCZ to recognize ambiguous facial expressions.

U-shaped association between fasting blood glucose and suicide attempts in Chinese patients with first-episode drug-naïve major depressive disorder.

BACKGROUND: Evidence regarding the relationship between fasting blood glucose (FBG) and suicide attempts (SA) in patients with major depressive disorder (MDD) was limited. Therefore, the objective of this research was to investigate whether FBG was independently related to SA in Chinese patients with first-episode drug-naïve (FEDN) MDD after adjusting for other covariates. METHODS: The present study was a cross-sectional study. A total of 1718 participants (average age: 34.9 ± 12.4 years, 65.8% females) with FEDN MDD were involved in a hospital in China from September 2016 to December 2018. Multiple logistic regression analysis and smooth curve fitting were used to estimate the association between FBG and the risk of SA. The threshold effect was examined by the two-piecewise linear regression model. Interaction and stratified analyses were conducted according to sex, education, marital status, comorbid anxiety, and psychotic symptoms. RESULTS: The prevalence of SA in patients with FEDN MDD was 20.1%. The result of fully adjusted binary logistic regression showed FBG was positively associated with the risk of SA (odds ratio (OR) = 1.62, 95% CI: 1.13-2.32). Smoothing plots also revealed a nonlinear relationship between FBG and SA, with the inflection point of FBG being 5.34 mmol/l. The effect sizes and the confidence intervals on the left and right sides of the inflection point were 0.53 (0.32-0.88, P = 0.014) and 1.48 (1.04-2.10, P = 0.030), respectively. CONCLUSIONS: A U-shaped relationship between FBG and SA in FEDN MDD patients was found, with the lowest risk of SA at a FBG of 5.34 mmol/l, indicating that both the lower and higher FBG levels may lead to an increased risk of SA.

Application of Stereo Digital Image Correlation on Facial Expressions Sensing.

Facial expression is an important way to reflect human emotions and it represents a dynamic deformation process. Analyzing facial movements is an effective means of understanding expressions. However, there is currently a lack of methods capable of analyzing the dynamic details of full-field deformation in expressions. In this paper, in order to enable effective dynamic analysis of expressions, a classic optical measuring method called stereo digital image correlation (stereo-DIC or 3D-DIC) is employed to analyze the deformation fields of facial expressions. The forming processes of six basic facial expressions of certain experimental subjects are analyzed through the displacement and strain fields calculated by 3D-DIC. The displacement fields of each expression exhibit strong consistency with the action units (AUs) defined by the classical Facial Action Coding System (FACS). Moreover, it is shown that the gradient of the displacement, i.e., the strain fields, offers special advantages in characterizing facial expressions due to their localized nature, effectively sensing the nuanced dynamics of facial movements. By processing extensive data, this study demonstrates two featured regions in six basic expressions, one where deformation begins and the other where deformation is most severe. Based on these two regions, the temporal evolutions of the six basic expressions are discussed. The presented investigations demonstrate the superior performance of 3D-DIC in the quantitative analysis of facial expressions. The proposed analytical strategy might have potential value in objectively characterizing human expressions based on quantitative measurement.

CmERF5-CmRAP2.3 transcriptional cascade positively regulates waterlogging tolerance in Chrysanthemum morifolium.

Waterlogging stress affects plant growth by limiting root respiration and reducing yield and economic value. Therefore, identifying genes involved in regulating waterlogging stress is vital. This study reports the ethylene-responsive VII transcription factor (CmRAP2.3) in the chrysanthemum. Subcellular localization and transactivation assay analyses revealed that CmRAP2.3 was localized in the nucleus and possessed transactivation activity. Overexpression of CmRAP2.3 in chrysanthemum was found to enhance waterlogging tolerance by decreasing reactive oxygen species (ROS) levels. Furthermore, we found that the transcription factor CmERF5 binds to GCC-like motifs in the CmRAP2.3 promoter region and activates CmRAP2.3 expression. Additionally, CmERF5 overexpression maintained a low ROS level and improved chrysanthemum waterlogging tolerance. Taken together, this study shows a molecular mechanism by which CmERF5 transcriptionally activates CmRAP2.3 to reduce waterlogging stress via the ROS pathway in the chrysanthemum.

Measurement of the three-dimensional distribution of uniaxial stress by terahertz time domain spectroscopy.

This paper presents a method to measure the three-dimensional distribution of uniaxial stress based on Terahertz Time Domain Spectroscopy (THz-TDS). The measurement principle was first established, which combines the computed tomography (CT) method and the photo-elastic effects. A classic filtered back-projection algorithm is adopted to calculate the three-dimensional stress fields from THz-TDS scanning images. Then, in verification experiment, the uniaxial stress distribution in the compressed cylinder and the stretched screw is obtained based on the measurement principle. Finally, the reliability of the proposed method has been verified by comparing the experiment results with the finite element simulation. A reasonable agreement is obtained.

Relationship between covid-pandemic anxiety and sleep disorder with menstrual disorders among female medical workers.

BACKGROUND: It has been more than 2 years since the 2019 novel coronavirus disease (COVID-19) pandemic destabilized the world, adversely affecting not only physical health, but also mental health. During this time, frontline medical workers were at a greater health risk, especially female medical workers. Changes or abnormalities in the menstrual cycle-an important indicator of women's health-may jeopardize female reproductive functioning. Considering that emotional health and sleep status may be related to the menstrual cycle, this study aimed to investigate the association between menstrual cycle changes, anxiety, sleep dysfunction, and other factors among female medical workers during the COVID-19 pandemic. METHODS: A cross-sectional survey was conducted by distributing online questionnaires to female medical workers in China from February to May 2022. The study included 160 women aged 18-45 years old. The questionnaires covered data related to the participants' sociodemographic characteristics, medical and reproductive history, and lifestyle. The Rating Scale for Clinical Manifestations of Menopathy (SCMM), Self-Rating Anxiety Scale (SAS), and Sleep Dysfunction Rating Scale (SDRS) were utilized. Data were analyzed using chi-square tests, t-tests, and linear regression analysis. RESULTS: A total of 160 female medical staff were randomly selected in this research, of whom seven scored less than 3 points, 85 scored 3-11 points, and 68 scored more than 11 points on the total score of the SCMM. Compared to pre-pandemic scores, scores of dizziness and tinnitus were significantly higher during the COVID-19 pandemic. Scores corresponding to the following clinical symptoms were also higher during the pandemic: Menopathy, including hypaphrodisia, dim complexion, abnormal urination, languidness, dim menstruation, thin menstruation, dysmenorrhea, and empty or saggy lower abdomen (p < 0.05). However, pre-pandemic scores of vaginal bleeding quantity were significantly higher than those found during the COVID-19 pandemic (p < 0.05). Scores of vaginal bleeding quantity were significantly lower in cabin hospitals than other types of hospitals, and a similar finding was observed for vaginal bleeding duration (all p < 0.05). Moreover, the findings of the univariable and multivariable linear regression analysis revealed a link between consistent exercise, the underlying illness, the SDRS score, the SAS score, and the total score of SCMM (p < 0.05). CONCLUSIONS: In this study, we found that menstruation in female medical workers was affected by the COVID-19 pandemic. Furthermore, regular exercise and good physical condition were protective factors, while anxiety and insomnia were risk factors for menstrual abnormalities.

Comprehensive characterization of thermal and mechanical properties in thin metal film-glass substrate system by ultrafast laser pump-probe method.

Picosecond ultrasonics (PU), time-domain Brillouin scattering (TDBS), and time-domain thermo-reflectance (TDTR) are all in-situ, non-destructive, and non-contact experimental techniques based on the ultrafast laser pump-probe method, which can generate and detect coherent acoustic phonons (CAP) and thermal transport in thin metal film-glass substrate system. However, these techniques are generally considered different experimental methods to characterize the thermal or mechanical properties of metal nano-objects or transparent materials. Here we present a comprehensive characterization of the generation, propagation, and attenuation of high-frequency CAP and cross-plane thermal transport in the thin Cr film-glass substrate system by PU, TDBS, and TDTR. To investigate the key factors of characterizations, two kinds of thin Cr film-glass substrate systems were measured on the film side and substrate side. The measured thermal and mechanical properties show that boundary conditions and film thickness have significantly affected the characterization.

Full-field stress measuring method based on terahertz time-domain spectroscopy.

Terahertz wave has been used to obtain the internal information of materials due to its penetrability to optically opaque materials. In this paper, we propose a full-field stress measuring method using terahertz time-domain spectroscopy. The theoretical model of the method was established based on the stress-optical law, and the method was then validated experimentally. A four-point bending experiment was conducted to determine the stress-optical coefficient of the specimen material, after which the proposed method was used to measure the stress distribution of a diametrically loaded disk. The experimental results present a reasonable agreement with the theoretical solution.

Hyperglycemia and Correlated High Levels of Inflammation Have a Positive Relationship with the Severity of Coronavirus Disease 2019.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) is a considerable global public health threat. This study sought to investigate whether blood glucose (BG) levels or comorbid diabetes are associated with inflammatory status and disease severity in patients with COVID-19. METHODS: In this retrospective cohort study, the clinical and biochemical characteristics of COVID-19 patients with or without diabetes were compared. The relationship among severity of COVID-19, inflammatory status, and diabetes or hyperglycemia was analyzed. The severity of COVID-19 in all patients was determined according to the diagnostic and treatment guidelines issued by the Chinese National Health Committee (7th edition). RESULTS: Four hundred and sixty-one patients were enrolled in our study, and 71.58% of patients with diabetes and 13.03% of patients without diabetes had hyperglycemia. Compared with patients without diabetes (n = 366), patients with diabetes (n = 95) had a higher leucocyte count, neutrophil count, neutrophil to lymphocyte ratio (NLR), and erythrocyte sedimentation rate (ESR). There was no association between severity of COVID-19 and known diabetes adjusted for age, sex, body mass index (BMI), known hypertension, and coronary heart disease. The leucocyte count, NLR, and C-reactive protein (CRP) level increased with increasing BG level. Hyperglycemia was an independent predictor of critical (OR 4.00, 95% CI 1.72-9.30) or severe (OR 3.55, 95% CI 1.47-8.58) COVID-19, and of increased inflammatory levels (high leucocyte count (OR 4.26, 95% CI 1.65-10.97), NLR (OR 2.76, 95% CI 1.24-6.10), and CRP level (OR 2.49, 95% CI 1.19-5.23)), after adjustment for age, sex, BMI, severity of illness, and known diabetes. CONCLUSION: Hyperglycemia was positively correlated with higher inflammation levels and more severe illness, and it is a risk factor for the increased severity of COVID-19. The initial measurement of plasma glucose levels after hospitalization may help identify a subset of patients who are predisposed to a worse clinical course.

Clinical characteristics on admission predict in-hospital fatal outcome in patients aged ≥75 years with novel coronavirus disease (COVID-19): a retrospective cohort study.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and precise fatality data by age group is needed urgently. This study to delineate the clinical characteristics and outcome of COVID-19 patients aged ≥75 years and identify the risk factors of in-hospital death. METHODS: A total of 141 consecutive patients aged ≥75 years who were admitted to the hospital between 12th and 19th February 2020. In-hospital death, clinical characteristics and laboratory findings on admission were obtained from medical records. The final follow-up observation was on the 31st March 2020. RESULTS: The median age was 81 years (84 female, 59.6%). Thirty-eight (27%) patients were classified as severe or critical cases. 18 (12.8%) patients had died in hospital and the remaining 123 were discharged. Patients who died were more likely to present with fever (38.9% vs. 7.3%); low percutaneous oxygen saturation (SpO2) (55.6% vs. 7.3%); reduced lymphocytes (72.2% vs. 35.8%) and platelets (27.8% vs. 4.1%); and increased D-dimer (94.4% vs. 42.3%), creatinine (50.0% vs. 22.0%), lactic dehydrogenase (LDH) (77.8% vs. 30.1%), high sensitivity troponin I (hs-TnI) (72.2% vs. 14.6%), and N-terminal pro-brain natriuretic peptide (NT-proBNP) (72.2% vs. 6.5%; all P < 0.05) than patients who recovered. Male sex (odds ratio [OR] = 13.1, 95% confidence interval [CI] 1.1 to 160.1, P = 0.044), body temperature > 37.3 °C (OR = 80.5, 95% CI 4.6 to 1407.6, P = 0.003), SpO2 ≤ 90% (OR = 70.1, 95% CI 4.6 to 1060.4, P = 0.002), and NT-proBNP> 1800 ng/L (OR = 273.5, 95% CI 14.7 to 5104.8, P < 0.0001) were independent risk factors of in-hospital death. CONCLUSIONS: In-hospital fatality among elderly COVID-19 patients can be estimated by sex and on-admission measurements of body temperature, SpO2, and NT-proBNP.

DIC/Moiré hybrid method based on regular patterns for deformation measurement.

Digital Image Correlation (DIC) is a superior optical method to measure the surface deformation with a high accuracy. Currently, most researches on DIC are based on random patterns. In this paper, A DIC/Moiré hybrid method using regular patterns is proposed for deformation measurement. In this method, a Moiré fringe technique based on correlation coefficient is developed to provide accurate initial deformation estimation for DIC. Experimental results indicate a higher computational efficiency by the proposed method than the conventional DIC method. It is also found that the calculation accuracy increases using regular patterns. The advantage of obtaining accurate initial estimation by the DIC/Moiré hybrid method may enable potential application in deformation measurements.

Comparative Transcriptome Analysis of Waterlogging-Sensitive and Waterlogging-Tolerant Chrysanthemum morifolium Cultivars under Waterlogging Stress and Reoxygenation Conditions.

Waterlogging stress is among the most severe abiotic stressors in the breeding and the production of Chrysanthemum morifolium. However, the mechanism underlying the response to waterlogging and post-waterlogging reoxygenation in C. morifolium remains unknown. In this study, we compared the differences between the transcriptomes of two chrysanthemum cultivars, i.e., the waterlogging-tolerant cultivar "Nannongxuefeng" and the waterlogging-sensitive cultivar "Qinglu", by performing RNA-seq to elucidate the possible mechanism of waterlogging and reoxygenation in C. morifolium. "Nannongxuefeng" had a higher ethylene production under the waterlogging and reoxygenation conditions. Furthermore, the expression of transcription factors and genes that are involved in the hormone response, N-end rule pathway and ROS signaling significantly differed between the two cultivars. "Nannongxuefeng" and "Qinglu" significantly differed in their response to waterlogging and reoxygenation, providing a deeper understanding of the mechanism underlying the response to waterlogging and guidance for the breeding of C. morifolium.

YaAn earthquake increases blood pressure among hospitalized patients.

BACKGROUND: YaAn, a city in Sichuan province, China, was struck by a major earthquake measuring 7.0 on the Richter scale on April 20, 2013. This study sought to investigate the impact of YaAn earthquake on the blood pressure (BP) among hospitalized patients in the department of cardiology. METHODS: We enrolled 52 hospitalized patients who were admitted to our hospital at least three days before the day of earthquake in 2013 (disaster group) as compared with 52 patients during April 20, 2014 (nondisaster group). BP was measured three times per day and the prescription of antihypertensive medicine was recorded. RESULTS: The earthquake induced a 3.3 mm Hg significant increase in the mean postdisaster systolic blood pressure (SBP) in the disaster group as compared with the nondisaster group. SBP at admission was positively associated with the elevated SBP in the logistic regression model (odds ratio (OR) = 1.09, 95% confidence interval (CI):1.016-1.168, p = 0.015), but not other potential influencing factors, including antihypertensive medicine, sex, age, and body weight, excluding ß-blockers. Patients with ß-blockers prescription at the time of earthquake showed a blunt response to earthquake-induced SBP elevation than those who were taking other antihypertensive drugs (OR = 0.128, 95% CI: 0.019-0.876, p = 0.036). CONCLUSION: The YaAn earthquake induced significant increase in SBP even at a distance from the epicenter among hospitalized patients. The findings demonstrate that pure psychological components seem to be a cause of the pressor response and ß-blockers might be better in controlling disaster-induced hypertension.

Plasma long non-coding RNA, CoroMarker, a novel biomarker for diagnosis of coronary artery disease.

Long non-coding RNAs (lncRNAs) have been reported to be involved in the pathogenesis of cardiovascular disease (CVD), but whether circulating lncRNAs can serve as a coronary artery disease (CAD), biomarker is not known. The present study screened lncRNAs by microarray analysis in the plasma from CAD patients and control individuals and found that 265 lncRNAs were differentially expressed. To find specific lncRNAs as possible CAD biomarker candidates, we used the following criteria for 174 up-regulated lncRNAs: signal intensity ≥8, fold change >2.5 and P<0.005. According to these criteria, five intergenic lncRNAs were identified. After validation by quantitative PCR (qPCR), one lncRNA was excluded from the candidate list. The remaining four lncRNAs were independently validated in another population of 20 CAD patients and 20 control individuals. Receiver operating characteristic (ROC) curve analysis showed that lncRNA AC100865.1 (referred to as CoroMarker) was the best of these lncRNAs. CoroMarker levels were also stable in plasma. The predictive value of CoroMarker was further assessed in a larger cohort with 221 CAD patients and 187 control individuals. Using a diagnostic model with Fisher's criteria, taking the risk factors into account, the optimal sensitivity of CoroMarker for CAD increased from 68.29% to 78.05%, whereas the specificity decreased slightly from 91.89% to 86.49%. CoroMarker was stable in plasma because it was mainly in the extracellular vesicles (EVs), probably from monocytes. We conclude that CoroMarker is a stable, sensitive and specific biomarker for CAD.

Performances of different subset shapes and control points in subset-based digital image correlation and their applications in boundary deformation measurement.

Digital image correlation (DIC) is an effective and popular tool for displacement and strain measurements. In the standard subset-based algorithms, the center point of a subset is considered by default as the control point for calculation, and it is difficult to obtain the deformation information at the boundary. Proper selection of the subset shape and the location of control points are vital to the displacement calculation at the boundary. In this paper, registration accuracies of several typical types of subset shapes and different locations of control points are investigated. The results illustrate that different choices of subset shapes can greatly affect the registration accuracy, while different choices for the locations of control points have little impact on it. Based on these results, the noncentral algorithm is developed for the whole-field deformation measurement.

The importance of ankel-brachial index in prediction vascular complications in transradial access procedures.

OBJECTIVE: The study aimed to explore the predictors of vascular complications (VCs) associated with transradial access, as the occurrence and severity of these complications were found to be significantly lower compared to femoral access. However, it is important to note that the occurrence of these complications still has a negative impact on clinical outcomes. Nevertheless, there is limited available data on the predictors of complications specifically related to radial access. METHODS: A retrospective case-control study was conducted on individuals who underwent percutaneous coronary diagnostic or therapeutic procedures at Daping Hospital, following the inclusion and exclusion criteria. The study compared demographic characteristics, VC types, ankle brachial index (ABI), and severity of coronary artery stenosis between the two groups. RESULTS: We enrolled 300 subjects with VCs and 300 age- and sex-matched subjects without VCs as controls. There were no differences in the baseline characteristics or comorbidities between the groups. Compared to the control group, the VC group has a higher portion of left radial access (6.0%) and previous radial artery puncture history (29.7% vs. 18.3%, p<0.001). The ABI was significantly lower than the non-VC group (1.17 ± 0.17 vs. 1.23 ± 0.14, p<0.001). In the multivariate logistic regression analysis, several factors were found to be independently associated with the occurrence of VC. These factors include ABI (OR=0.060, 95% CI: 0.014-0.249, p<0.001), the procedure being performed by junior operators (OR=1.892, 95% CI: 1.314-2.745, p<0.001), and previous access on the same radial artery (OR=1.795, 95% CI: 1.190-2.707, p<0.01). CONCLUSIONS: Patients who exhibit a lower ABI and have a history of prior radial access procedures may be at an increased risk of developing radial access VC. Therefore, it is recommended to routinely measure ABI prior to these procedures, as it may serve as a predictive tool for assessing the risk of VC.

Characterization of human skin under tension using terahertz time domain spectroscopy.

This paper introduces a spectral analysis method for monitoring the human skin in vivo based on a combination of terahertz time-domain spectroscopy (THz-TDS) and optical coherence tomography (OCT). The method can quantitatively measure the refractive index, thickness and transmission coefficient of epidermis, and the refractive index of dermis in natural, as well as the tension condition of the skin. An optically reflective model for the multilayer structure of the skin is first established. The initial thickness of the epidermis is then measured by OCT as a known quantity for the established model. By fitting the established model to the experimentally obtained THz-TDS signals, the above parameters of the skin can be calibrated. Furthermore, the dependence of these skin parameters on the tension status are investigated. This study provides a means for terahertz technology to measure the skin in vivo.