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1.
Zhongguo Zhen Jiu ; 42(1): 99-103, 2022 Jan 12.
Artigo em Chinês | MEDLINE | ID: mdl-35025165

RESUMO

OBJECTIVE: To analyze the acupoint selection rules of post-stroke cognitive impairment (PSCI) treated with acupuncture by ancient and modern medical record cloud platform (V1.5). METHODS: The published randomized controlled trial (RCT) literature of PSCI treated with acupuncture was retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library and Web of Science, and the data was extracted to establish prescription database. The ancient and modern medical record cloud platform (V1.5) was used to analyze the data. RESULTS: A total of 185 articles was included, involving 91 acupoints, the total using frequency was 1174 times. The top 5 acupoints in frequency of PSCI treated with acupuncture were Baihui (GV 20, 151 times), Shenting (GV 24, 97 times), Sishencong (EX-HN 1, 83 times), Neiguan (PC 6, 69 times) and Sanyinjiao (SP 6, 64 times); the most involved meridian was the governor vessel, and the generally used acupoints were mainly distributed in the head, face and neck. The top 5 acupoint combinations in frequency were Baihui (GV 20)-Shenting (GV 24, 89 times), Baihui (GV 20)-Sishencong (EX-HN 1, 79 times), Baihui (GV 20)-Neiguan (PC 6, 59 times), Baihui (GV 20)-Sanyinjiao (SP 6, 56 times) and Baihui (GV 20)-Zusanli (ST 36, 51 times). The acupoint combination with the strongest association was Shenting (GV 24)→Baihui (GV 20). There were 6 acupoint cluster groups according to the cluster analysis, and the main core prescription was Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6). CONCLUSION: Acupoints on the governor vessel, and distributed in head, face and neck are the main acupoints for PSCI treated with acupuncture, Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6) can be used as the main acupoints, but it is still necessary to combine with syndrome differentiation.


Assuntos
Terapia por Acupuntura , Disfunção Cognitiva , Pontos de Acupuntura , Computação em Nuvem , Humanos , Registros Médicos
2.
Mikrochim Acta ; 189(2): 59, 2022 01 11.
Artigo em Inglês | MEDLINE | ID: mdl-35015150

RESUMO

A  nanocomposite of rGO/MXene-Pd/rGO with hierarchical structure based on Ti3C2Tx MXene, Pd nanoparticles, and reduced graphene oxide (rGO) was synthesized by a green approach. Ti3C2Tx MXene decorated with Pd nanoparticles (MXene-Pd) was prepared first. Then, graphene oxide (GO), MXene-Pd, and GO were coated on the surface of the glassy carbon electrode (GCE) in sequence. After each coating of the GO layer, the GO nanosheets were reduced to rGO electrochemically. The fabricated rGO/MXene-Pd/rGO hierarchical framework performs a pie structure with MXene-Pd as the stuffing and rGO nanosheets as the crust, which will be beneficial to the enhancement of its electrochemical sensing performance. As compared with other electrodes, the rGO/MXene-Pd/rGO/GCE exhibited higher electrocatalytic activity and better sensing performance for luteolin detection, with a wide linear range of 6.0 × 10-10 to 8 × 10-7 M and 1.0 × 10-6 to 1.0 × 10-5 M (oxidation peak potential Epa = 0.34 V vs. SCE), a low detection limit of 2.0 × 10-10 M, and a high sensitivity of 112.72 µA µM-1 cm-2. Moreover, the fabricated sensor also showed high selectivity, reproducibility, and repeatability toward the detection of luteolin. The real sample analysis for luteolin in honeysuckle was successfully carried out by rGO/MXene-Pd/rGO and verified with high-performance liquid chromatography (HPLC) analysis techniques with acceptable results. All the above tests indicate the promising application prospect of the rGO/MXene-Pd/rGO framework for luteolin detection in honeysuckle and other herbs containing luteolin.

3.
Water Res ; 210: 118026, 2022 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-34996013

RESUMO

Drinking water treatment plants use granular activated carbon (GAC) to adsorb and remove trace organics, but the GAC has a limited lifetime in terms of adsorptive capacity and needs to be replaced before it is exhausted. Biological degradation of target contaminants can also occur in GAC filters, which might allow the GAC to remain in service longer than expected. However, GAC biofiltration remains poorly understood and unpredictable. To increase the understanding of adsorption and biodegradation in GAC, previous studies have conducted parallel column tests that use one column of GAC (potentially biologically active) to assess overall removal via both adsorption and biodegradation, and one column with either sterilized GAC or biological non-adsorbing media to assess adsorption or biodegradation alone. Mathematical models have also been established to give insight into the adsorption and biodegradation processes in GAC. In this review, the experimental and modeling approaches and results used to distinguish between the role of adsorption and biodegradation were summarized and critically discussed. We identified several limitations: (1) using biological non-adsorbing media in column tests might lead to non-representative extents of biodegradation; (2) sterilization methods may not effectively inhibit biological activity and may affect adsorption; (3) using virgin GAC coated with biofilm could overestimate adsorption; (4) potential biofilm detachment during column experiments could lead to biased results; (5) the parallel column test approach itself is not universally applicable; (6) competitive adsorption was neglected by previous models; (7) model formulations were based on virgin GAC only. To overcome these limitations, we proposed four new approaches: the use of gamma irradiation for sterilization, a novel minicolumn test, compound-specific isotope analysis to decipher the role of adsorption and biodegradation in situ, and a new model to simulate trace organic adsorption and biodegradation in a GAC filter .

4.
Anal Chim Acta ; 1194: 339408, 2022 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-35063157

RESUMO

Carcinoembryonic antigen (CEA) is an important biomarker in the diagnosis of cancer. The increase of CEA in malignant pleural effusion appears earlier and possesses higher clinical diagnostic value than that in the serum. Conventional fluorescent probes suffer from the interference of strong biotissue auto-fluorescence, which limits severely their applications in biology detection. Herein, a novel fluorescence aptasensor was designed with near-infrared persistent luminescence nanoparticles (PLNPs) for accurate detection of carcinoembryonic antigen in pleural effusion by FRET quenching and recovery mechanism. The strong background interference from the autofluorescence of pleural effusion samples can be effectively eliminated and extra increments of measured values originated from the background of different samples were ruled out, benefit from the long decay time of PLNPs and time-resolved fluorescence technology. The detection results show high accuracy of the measured values of carcinoembryonic antigen both in cancer and benign disease group with low detection limit up to 0.0851 pg mL-1. Furthermore, excellent selectivity from coexisting biomarker was achieved by the hybridization between the aptamer and the complementary DNA on PLNPs surface. Hence, the established near-infrared PLNPs-based aptasensors offer excellent performance with high selective, accuracy and signal-to-noise ratio for detection of carcinoembryonic antigen in pleural effusion.

5.
Food Chem ; 372: 131212, 2022 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-34600196

RESUMO

In our paper, a promising electrochemical sensing platform was fabricated with titanium carbide (Ti3C2Tx), poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), and ruthenium nanoparticles (RuNPs). First, the Shandong pancake structural PEDOT:PSS/Ti3C2Tx was prepared by physical stirring. PEDOT:PSS as the dispersant was embedded into the Ti3C2Tx nanosheets, increasing the degree of dispersion of the Ti3C2Tx nanosheets and further improving the specific surface area of the composite material. Then, RuNPs were supported on the surface of PEDOT:PSS/Ti3C2Tx to form the hierarchical ternary nanocomposite of Ru/PEDOT:PSS/Ti3C2Tx. The prepared Ru/PEDOT:PSS/Ti3C2Tx nanocomposite exhibited promising electrochemical sensing properties toward Sudan I detection with a wide detection range of 0.01 âˆ¼ 100 µM and a high sensitivity of 482.43 µA mM-1 cm-2. Moreover, the Ru/PEDOT:PSS/Ti3C2Tx sensing platform has been successfully applied for Sudan I detection in ketchup and chili paste, implying the promising application prospect of Ru/PEDOT:PSS/Ti3C2Tx in food safety testing.


Assuntos
Nanocompostos , Titânio , Compostos Bicíclicos Heterocíclicos com Pontes , Naftóis , Polímeros
6.
ACS Appl Mater Interfaces ; 14(1): 1362-1372, 2022 Jan 12.
Artigo em Inglês | MEDLINE | ID: mdl-34933548

RESUMO

Scintillation fibers based on rare-earth ion-doped crystal materials have attracted significant attention for applications in a wide range of areas from security to healthcare. However, the scintillation performance of crystal fibers is severely limited owing to the complex preparation process. Here, we report a modified preparation process of the transparent Ce/Tb co-doped yttrium pyrosilicate (YPS) nanocrystal silica fiber for the first time, which was fabricated by the CO2 laser-heated method assisted with optimal thermal annealing. An YPS nanocrystal phase with an average size of approximately 38 nm is obtained by controlling the diffusion concentration of SiO2 in the fiber core region. Both Ce3+ and Tb3+ ions were successfully embedded into YPS nanocrystals, which enhanced the energy transfer with an efficiency of 59.87% between the dopants as well as brighter green light emission. Furthermore, the X-ray-excited remote radioluminescence response of the obtained YPS nanocrystal fiber with a length of 20 m was approximately 1 order of magnitude larger than that of the precursor fiber, while the dose rate response exhibited excellent linearity. It is believed that the novel transparent YPS nanocrystal-doped silica optical fibers, combined with their excellent fluorescent properties, could be promising candidates for scintillators, fiber lasers, and phosphors.

8.
J Nat Prod ; 2021 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-34852194

RESUMO

Three new actinopyrone derivatives, actinopyrones E-G (1, 3, and 4), together with three known analogues, PM050463 (2), actinopyrone D (5), and PM050511 (6), were isolated from Streptomyces sp. SCSIO ZS0520 derived from a deep-sea hydrothermal vent. Their structures, complete with absolute configurations, were elucidated using extensive spectroscopic analyses combined with Mosher's method, ECD calculations, and bioinformatics analyses. These findings corrected the absolute configurations of previously reported actinopyrone analogues 2, 5, and 6 at C-3, C-9, and C-10. Notably, compound 6 displayed notable cytotoxicity against six human cell lines with IC50 values of 0.26-2.22 µM. A likely biosynthetic pathway and annotations of protein function are proposed on the basis of bioinformatics analyses. Genes coding for methyltransferase and glycosyltransferase tailoring chemistries needed to generate final structures were notably absent from the biosynthetic gene cluster. Taken together, these results enable further bioengineering of the actinopyrones and related congeners as potential antitumor agents.

9.
Pharmgenomics Pers Med ; 14: 1483-1504, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34848995

RESUMO

Purpose: The identification of biomarkers and effective therapeutic targets for gastric cancer (GC), the most common cause of cancer-related deaths around the world, is currently a major focus in research. Here, we examined the utility of LHFPL6 as a prognostic biomarker and therapeutic target for GC. Methods: We explored the clinical relevance, function, and molecular role of LHFPL6 in GC using the MethSurv, cBioPortal, TIMER, Gene Expression Profiling Interactive Analysis, ONCOMINE, MEXPRESS, and EWAS Atlas databases. The GSE118919, GSE29272, and GSE13861 datasets were used for differential expression analysis. Using The Cancer Genome Atlas, we developed a Cox regression model and assessed the clinical significance of LHFPLs. In addition, we used the "CIBERSORT" algorithm to make reliable immune infiltration estimations. Western blot and immunohistochemistry were used to examine protein expression. Cell migration and invasion were assessed using transwell experiments. THP-1-derived macrophages and GC cells were co-cultured in order to model tumor-macrophage interactions in vitro. The levels of CD206 and CD163 were measured using immunofluorescence assays. The results were visualized with the "ggplot2" and "circlize" packages. Results: Our results showed that in GC, LHFPL6 overexpression was significantly associated with a poor prognosis. Our findings also suggested that LHFPL6 may be involved in the activation of the epithelial-mesenchymal transition. Furthermore, LHFPL6 expression showed a positive correlation with the abundance of M2 macrophages, which are potent immunosuppressors. Conclusion: LHFPL6 could be a prognostic biomarker and therapeutic target for GC.

10.
Rapid Commun Mass Spectrom ; : e9240, 2021 Dec 14.
Artigo em Inglês | MEDLINE | ID: mdl-34904306

RESUMO

RATIONALE: Tirabrutinib is an orally administered Bruton's tyrosine kinase (BTK) inhibitor developed for the treatment of autoimmune disorders and haematological malignancies. The goals of this study were to identify the metabolites of tirabrutinib and to propose the metabolic pathways. METHODS: Tirabrutinib was individually incubated with rat, dog and human liver microsomes at 37 o C for 1 h. To trap the potential reactive metabolites, glutathione (GSH) was incorporated into the incubations. The incubation samples were analyzed by ultra-high performance liquid chromatography combined with high resolution mass spectrometer (UPLC-HRMS). The metabolites were identified and characterized by exact masses, product ions and retention times. RESULTS: A total of eighteen metabolites including four GSH conjugates were identified and characterized in terms of elemental compositions and product ions. The metabolic pathways of tirabrutinib included amide hydrolysis, O-dealkylation, mono-oxygenation, di-oxygenation and GSH conjugation. Among these metabolites, M10 was the most abundant metabolite. Compared with dog, rat has the closer metabolic profiles to humans and it would be more suitable for toxicity study. CONCLUSIONS: This study provides valuable data regarding the in vitro metabolism of tirabrutinib, which may be helpful for further safety assessment of this drug.

11.
Ying Yong Sheng Tai Xue Bao ; 32(11): 4039-4049, 2021 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-34898120

RESUMO

Exploring the spatial-temporal variations of agricultural eco-efficiency (AEE) and its driving factors is of vital importance to achieve high-quality agro-ecological development in China. In this study, we used the super efficiency slack-based measure (SBM) model to measure the inter-provincial AEE based on the relevant panel data of 30 provinces/regions/cities in China from 2000 to 2018. Based on the time series analysis, spatial visualization, and trend surface analysis, the geographical detector model was further used to identify the core factors driving the spatial-temporal variations of AEE. The results showed that China's AEE level maintained stable upward progress from 2000 to 2018, which was still at a low level with much room for improvement. The AEE in China exhibited a significant spatial-temporal variation, presenting higher levels in the eastern and western parts but lower in the central part. The spatial variation of AEE was influenced by many factors, including agricultural resource endowment, socioeconomic condition, and the natural ecological environment. There were obvious variations in the influence factors on the spatial-temporal variation of AEE. The interactions among factors would enhance the spatial variation of AEE. Therefore, due to the spatial-temporal variation of AEE, emphasis should be placed on its core driving factors as well as the inter-parts agricultural cooperation in order to achieve high-quality agro-ecological development in China.


Assuntos
Eficiência , Indústrias , Agricultura , China , Meio Ambiente
12.
Front Pharmacol ; 12: 707777, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34899286

RESUMO

Beneficial effects of therapeutic drugs are controversial for heart failure with preserved ejection fraction (HFpEF). This meta-analysis aimed to evaluate and compare the interactive effects of different therapeutic drugs and placebo in patients with HFpEF. A comprehensive search was conducted using PubMed, Google Scholar, and Cochrane Central Register to identify related articles published before March 2021. The primary outcome was all-cause mortality. Secondary outcomes were cardiovascular mortality, heart failure (HF) hospitalization, and worsening HF events. A total of 14 randomized controlled trials, comprising 19,573 patients (intervention group, n = 9,954; control group, n = 9,619) were included in this network meta-analysis. All-cause mortality, cardiovascular mortality, and worsening HF events among therapeutic drugs and placebo with follow-up of 0.5-4 years were not found to be significantly correlated. The angiotensin receptor neprilysin inhibitor (ARNI) and angiotensin-converting enzyme inhibitor (ACEI) significantly reduced the HF hospitalizations compared with placebo (hazard ratio [HR] 0.73, 95% confidence interval [CI] 0.60-0.87 and HR 0.64, 95% CI 0.43-0.96, respectively), without heterogeneity among studies. The ARNI was superior to angiotensin receptor blocker (ARB) in reducing HF hospitalizations (HR 0.80, 95% CI 0.71-0.91), and vericiguat 10 mg ranked worse than beta-blockers for reducing all-cause mortality in patients with HFpEF (HR 3.76, 95% CI 1.06-13.32). No therapeutic drugs can significantly reduce mortality, but the ARNI or ACEI is associated with the low risk of HF hospitalizations for patients with HFpEF. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42021247034.

13.
Ultrasound Med Biol ; 2021 Dec 17.
Artigo em Inglês | MEDLINE | ID: mdl-34930637

RESUMO

Rheumatoid arthritis (RA) is a chronic autoimmune disease that can result in considerable disability and pain. The metacarpophalangeal (MCP) joint is the most common diseased joint in RA. In clinical practice, MCP synovitis is commonly diagnosed on the basis of musculoskeletal ultrasound (MSUS) images. However, because of the vague criteria, the consistency in grading MCP synovitis based on MSUS images fluctuates between ultrasound imaging practitioners. Therefore, a new method for diagnosis of MCP synovitis is needed. Deep learning has developed rapidly in the medical area, which often requires a large-scale data set. However, the total number of MCP-MSUS images fell far short of the demand, and the distribution of different medical grades of images was unbalanced. With use of the traditional image augmentation methods, the diversity of the data remains insufficient. In this study, a high-resolution generative adversarial network (HRGAN) method that generates enough images for network training and enriches the diversity of the training data set is described. In comparison experiments, our proposed diagnostic system based on MSUS images provided more consistent results than those provided by clinical physicians. As the proposed method is image relevant, this study might provide a reference for other medical image classification research with insufficient data sets.

14.
Artigo em Inglês | MEDLINE | ID: mdl-34967303

RESUMO

BACKGROUND: Previous studies have shown that endoplasmic reticulum (ER) stress is related to the apoptosis in the development of diabetic nephropathy (DN) and thalidomide (Thd) has renal-protective effects by suppressing inflammation and proliferation of MCs in DN. However, the effect of Thd on the apoptosis of MCs in DN remains largely unclear. The present research is designed to explore the effect of Thd on apoptosis in DN and the related mechanisms. OBJECTIVE: The study is designed to examine the effect and mechanism of Thd on apoptosis in type 2 diabetic mice and high glucose (HG)-induced MCs. METHOD: We first evaluated the ER stress markers and apoptosis-related proteins with the treatment of Thd in type 2 diabetic mice and MCs in vitro under HG conditions. MTT assay was used to assess cell viability. Additionally, we evaluated the effect of Thd treatment upon MC apoptosis through flow cytometry. Real-time polymerase chain reaction (RT-PCR) and Western blot were performed to evaluate genes and protein expression related to ER stress and apoptosis. RESULTS: The levels of blood urea BUN, CREA, Urine albumin, and UACR in diabetic mice were significantly reduced after 8 weeks of intervention with Thd. And also, there were upregulated glucose-regulated protein 78 (GRP78), Caspase-12, and downregulated B-cell lymphoma 2 (Bcl-2) in glomeruli of DN mice. In vitro, compared with the HG group, MC apoptosis reduced dramatically with Thd treatment along with upregulation of Bcl-2 and downregulation of Bax. At the same time, ER stress markers GRP78, C/EBP homologous protein (CHOP), and Caspase-12 were also mitigated following the Thd treatment. CONCLUSION: The present study indicates that Thd might reduce the ER stress in DN via downregulating of GRP78, CHOP, and Caspase12 expression, ultimately mitigating MCs apoptosis.

15.
Cancer Res ; 2021 Dec 28.
Artigo em Inglês | MEDLINE | ID: mdl-34965937

RESUMO

Docetaxel-based chemotherapy is a standard-of-care treatment for metastatic prostate cancer (PCa), and chemoresistance remains a major challenge in clinical practice. Recent studies have demonstrated that circular RNAs (circRNAs) play critical roles in the development and progression of PCa. However, the biological roles and potential functions of circRNAs in mediating docetaxel-resistant PCa have yet to be well elucidated. In this study, we analyzed the expression profiles of circRNAs in docetaxel-resistant and -sensitive PCa cells through RNA sequencing and found that expression of circARHGAP29 was significantly upregulated in docetaxel-resistant cell lines and clinical samples. Ectopic expression of circARHGAP29 triggered docetaxel resistance and aerobic glycolysis in PCa cells, which was reduced by silencing circARHGAP29. Moreover, eukaryotic initiation factor 4A3 (EIF4A3), which bound the back-spliced junction site and the downstream flanking sequence of circARHGAP29, induced cyclization and cytoplasmic export of circARHGAP29. circARHGAP29 increased the stability of lactate dehydrogenase A (LDHA) mRNA by strengthening its interaction with insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2), leading to enhanced glycolytic metabolism. In addition, circARHGAP29 interacted with and stabilized c-Myc mRNA and protein, which further increased LDHA expression by facilitating its transcription. These findings reveal the crucial function of circARHGAP29 in PCa glycolysis by increasing and stabilizing LDHA mRNA, providing a promising therapeutic target in docetaxel-resistant PCa.

16.
J Neurosci Methods ; 368: 109441, 2021 Dec 21.
Artigo em Inglês | MEDLINE | ID: mdl-34942271

RESUMO

Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging. There have been some reviews on machine learning and epilepsy before, and they mainly focused on electrophysiological signals such as electroencephalography (EEG) and stereo electroencephalography (SEEG), while neglecting the potential of neuroimaging in epilepsy research. Neuroimaging has its important advantages in confirming the range of the epileptic region, which is essential in presurgical evaluation and assessment after surgery. However, it is difficult for EEG to locate the accurate epilepsy lesion region in the brain. In this review, we emphasize the interaction between neuroimaging and machine learning in the context of epilepsy diagnosis and prognosis. We start with an overview of epilepsy and typical neuroimaging modalities used in epilepsy clinics, MRI, DWI, fMRI, and PET. Then, we elaborate two approaches in applying machine learning methods to neuroimaging data: (i) the conventional machine learning approach combining manual feature engineering and classifiers, (ii) the deep learning approach, such as the convolutional neural networks and autoencoders. Subsequently, the application of machine learning on epilepsy neuroimaging, such as segmentation, localization, and lateralization tasks, as well as tasks directly related to diagnosis and prognosis are looked into in detail. Finally, we discuss the current achievements, challenges, and potential future directions in this field, hoping to pave the way for computer-aided diagnosis and prognosis of epilepsy.

17.
Front Cell Dev Biol ; 9: 746194, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34746143

RESUMO

The identification of biomarkers and effective therapeutic targets for gastric cancer (GC), the most common cause of cancer-related deaths around the world, is currently a major focus area in research. Here, we examined the utility of Neuronal Regeneration Related Protein (NREP) as a prognostic biomarker and therapeutic target for GC. We assessed the clinical relevance, function, and molecular role of NREP in GC using bioinformatics analysis and experimental validation. Our results showed that in GC, NREP overexpression was significantly associated with a poor prognosis. Our findings also suggested that NREP may be involved in the activation of cancer-associated fibroblasts and the epithelial-mesenchymal transition (EMT), with transforming growth factor ß1 mediating both processes. In addition, NREP expression showed a positive correlation with the abundance of M2 macrophages, which are potent immunosuppressors. Together, these results indicate that NREP is overexpressed in GC and affects GC prognosis. Thus, NREP could be a prognostic biomarker and therapeutic target for GC.

18.
Spine (Phila Pa 1976) ; 46(23): 1603-1611, 2021 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-34747908

RESUMO

STUDY DESIGN: Cross-sectional radiographic comparison study. OBJECTIVE: The aim of this study was to understand whole-body balancing in directed and natural standing postures, through comparison of kypholordotic ratios on whole-body radiographs of young, healthy subjects. SUMMARY OF BACKGROUND DATA: Recent studies highlighted the importance of understanding whole-body balancing, proposing the use of the more physiological natural standing posture, together with the conventional directed standing posture, for imaging. METHODS: Sixty healthy, 21-year-old subjects (36 males, 24 females) were recruited. EOS whole-body radiographs of subjects in directed and natural standing postures were obtained. Radiographic parameters compared include C2-sagittal vertical axis (C2-SVA), C7-SVA, C2-7-SVA, global cervical angles (C0-T1 and C2-C7), regional cervical angles (C0-C2, C2-C4, C4-C7), T1-slope, global thoracic angles (T1-T12 and T1-inflection vertebra [Inf]), thoracolumbar angle (T11-L2), global lumbar angles (T12-S1 and Inf-S1), pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), spinocoxa angle (SCA), and femoral alignment angle (FAA). Kypholordotic ratios of T1-12/T12-S1, T1-Inf/Inf-S1, Tl-Inf/SCA, and (T1-Inf + FAA)/(T1-slope + SCA) were calculated and compared. RESULTS: Compared to directed standing, natural standing has greater C2-SVA and C7-SVA, more lordotic global and regional cervical angles (except C0-2 angle), higher T1-slope, larger T1- T12 and T1-Inf kyphotic angles, smaller T12-S1 and Inf-S1 lordotic angles, larger PT, more lordotic SCA, and smaller SS and FAA angles. T1-12/T12-S1 and T1-Inf/Inf-S1 ratios in natural standing, and (Tl-Inf + FAA)/(T1-slope + SCA) ratio in both postures approximate 1. There were significant differences between postures for Tl-l2/Tl2-Sl, Tl-Inf/Inf-Sl and Tl-Inf/SCA ratios. CONCLUSION: Whole-body balancing requires understanding of the balance between kyphosis and lordosis, which varies with the posture of patients. Analysis of kypholordotic ratios obtained in this study allude to the importance of performing whole-body imaging in the directed standing posture, and whole-spine or whole-body imaging in the natural standing posture, so as to fully understand spinal and whole body balancing for spinal realignment surgeries.Level of Evidence: Level 3.


Assuntos
Cifose , Lordose , Adulto , Vértebras Cervicais/diagnóstico por imagem , Estudos Transversais , Feminino , Humanos , Lordose/diagnóstico por imagem , Vértebras Lombares , Masculino , Postura , Adulto Jovem
19.
Comput Methods Programs Biomed ; 212: 106464, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-34736166

RESUMO

BACKGROUND AND OBJECTIVE: Recognizing different tissue components is one of the most fundamental and essential works in digital pathology. Current methods are often based on convolutional neural networks (CNNs), which need numerous annotated samples for training. Creating large-scale histopathological datasets is labor-intensive, where interactive data annotation is a potential solution. METHODS: We propose DELR (Deep Embedding-based Logistic Regression) to enable rapid model training and inference for histopathological image analysis. DELR utilizes a pretrained CNN to encode images as compact embeddings with low computational cost. The embeddings are then used to train a Logistic Regression model efficiently. We implemented DELR in an active learning framework, and validated it on three histopathological problems (binary, 4-category, and 8-category classification challenge for lung, breast, and colorectal cancer, respectively). We also investigated the influence of active learning strategy and type of the encoder. RESULTS: On all the three datasets, DELR can achieve an area under curve (AUC) metric higher than 0.95 with only 100 image patches per class. Although its AUC is slightly lower than a fine-tuned CNN counterpart, DELR can be 536, 316, and 1481 times faster after pre-encoding. Moreover, DELR is proved to be compatible with a variety of active learning strategies and encoders. CONCLUSIONS: DELR can achieve comparable accuracy to CNN with rapid running speed. These advantages make it a potential solution for real-time interactive data annotation.


Assuntos
Redes Neurais de Computação , Aprendizagem Baseada em Problemas , Área Sob a Curva , Processamento de Imagem Assistida por Computador , Modelos Logísticos
20.
J Nurs Manag ; 2021 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-34783114

RESUMO

AIM: To develop a patient experience with nursing care scale and to evaluate its psychometric properties. BACKGROUND: Patient experience is increasingly recognized as one of the pillars of quality in healthcare. Nevertheless, few instruments reflecting the preferences, needs and values of the healthcare recipients were developed to measure and improve patient experience with nursing care. METHODS: Instrument development and psychometric analysis were used, and a total of 1050 individuals participated in this study. The validity and reliability of the scale were evaluated. RESULTS: An exploratory factor analyses yielded a seven-dimension structure, and explained 70.785% of the variance. Confirmatory factor analyses supported the factor structure of the instrument. The content validity was very good (Mean I-CVI 0.96). Criterion validity was demonstrated with the general satisfaction question. Internal consistency reliability was found to be acceptable, as indicated by a Cronbach's alpha of 0.945, split-half reliability of 0.878 and item-total correlations of 0.328-0.803, respectively. CONCLUSIONS: This study produced a 30-item instrument, which exhibits good psychometric properties. IMPLICATIONS FOR NURSING MANAGEMENT: This scale could be used to determine to what extent patients' nursing care needs are met, examine the strength and weakness of current care delivery, and analyze the gap between patients' expectations and healthcare providers' behaviors.

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