Sensitivity Rate Research Articles

Confirmatory methods for endotracheal tube placement in out-of-hospital settings: A systematic review of the literature

BackgroundConfirming proper placement of an endotracheal tube (ETT) is important, as accidental misplacements may occur and lead to critical injuries, potentially leading to adverse outcomes. Multiple methods are available for determining the correct ETT placement in prehospital care. ObjectiveTo assess the accuracy and reliability of the different methods used to confirm endotracheal intubation in prehospital settings. MethodsA comprehensive literature search was performed in the MEDLINE, EMBASE, Scopus, and Web of Science databases for studies that were published between 1-June-1992 and 12-June-2022 using a combination of predetermined search terms. Studies that met the inclusion criteria were included and assessed for risk of bias using “Risk of Bias in Non-randomized Studies of Intervention” tool. ResultsOf the 1016 identified studies, nine met the inclusion criteria. Capnography and point-of-care ultrasound showed high sensitivity and specificity rates when applied to confirm ETT placement in prehospital care. Other methods including capnometry, colorimetric detectors, ODDs, and auscultation showed varied sensitivity and specificity. Patient comorbidities and device failure contributed to decreased accuracy rates in prehospital care. Capnography was less reliable in distinguishing between endotracheal intubation and right main stem intubation, which is known as a complication in out-of-hospital endotracheal intubation. Point-of-care ultrasound was more accurate and reliable in detecting oesophageal and endobronchial misplacements. ETCO2 monitors, i.e., capnometry and colorimetric detectors, were less reliable in patients with low perfusion states. ConclusionThis systematic review showed that there is no single method with 100% accuracy in confirming the correct ETT placement and detecting the occurrence of accidental oesophageal or endobronchial misplacements in prehospital care. Further studies with a larger sample size are needed to assess the accuracy of multiple confirmatory methods in prehospital settings.

Self-assembly of hyperbranched DNA network structure for signal amplification detection of miRNA

Catalytic hairpin assembly (CHA) and hybridization chain reaction (HCR) can achieve the high sensitivity and rapid reaction rate in detecting miRNA. However, the amplification efficiency by these methods are limited. Herein, an enzyme-free and label-free hyperbranched DNA network structure (HDNS) was designed, in which localized catalytic hairpin assembly (LCHA) and hybridization chain reaction occurred in the horizontal axis and longitudinal axis, respectively, exhibiting intensive signal dual-amplification. miRNA-122 was selected as the target on behalf of miRNA to design the HDNS sensor. The fluorescence signal change of HDNS showed good linearity for detecting miRNA-122 in the concentration range from 0.1 nM to 60 nM with a limit of detection (LOD) at 37 pM which was lower than those of the sensors based on separate CHA or HCR. Afterwards, the HDNS sensor was applied to detect miRNA-122 in serum samples with the recovery rate in the range of 97.2 %–107 %. The sensor could distinguish different kinds of miRNAs, even the family members with high sequence homology, exhibiting excellent selectivity. This method provided a novel design strategy for improving the sensitivity and selectivity of DNA sensor for miRNA detection.

Background Subtraction for Dynamic Scenes Using Gabor Filter Bank and Statistical Moments

This paper introduces a novel background subtraction method that utilizes texture-level analysis based on the Gabor filter bank and statistical moments. The method addresses the challenge of accurately detecting moving objects that exhibit similar color intensity variability or texture to the surrounding environment, which conventional methods struggle to handle effectively. The proposed method accurately distinguishes between foreground and background objects by capturing different frequency components using the Gabor filter bank and quantifying the texture level through statistical moments. Extensive experimental evaluations use datasets featuring varying lighting conditions, uniform and non-uniform textures, shadows, and dynamic backgrounds. The performance of the proposed method is compared against other existing methods using metrics such as sensitivity, specificity, and false positive rate. The experimental results demonstrate that the proposed method outperforms other methods in accuracy and robustness. It effectively handles scenarios with complex backgrounds, lighting changes, and objects that exhibit similar texture or color intensity as the background. Our method retains object structure while minimizing false detections and noise. This paper provides valuable insights into computer vision and object detection, offering a promising solution for accurate foreground detection in various applications such as video surveillance and motion tracking.

Anthropogenic nitrogen pollution impacts saltmarsh resilience with inhibition of seedling establishment and population dispersal

Saltmarsh, a prominent buffer ecosystem, has been identified as an important sink for nitrogen (N) pollutants from marine- and land-based anthropogenic activities. However, how the enriched anthropogenic N impacts saltmarsh sustainability has been neglected due to limited understanding of marsh resilience based on seedling establishment and population dispersal under anthropogenic N inputs. This study combined mesocosm experiments and model simulations to quantify the effects of increased anthropogenic N on the seedling-based vegetation expansion of Spartina alterniflora. The results indicated that seedling survivals, growth rates, and morphological indicators were inhibited by 20.08 %, 37.14 %, and > 35.56 %, respectively, under 1.5 gN/kg anthropogenic N. The sensitivity rate of vegetation expansion was increased by 70 % with 1 gN/kg increased N concentration under the scenario of low seedling density (< 15 m/yr). These findings revealed an important unidentified weakness of the marsh development process to anthropogenic N inputs. Finally, we highlighted the importance of appropriate protection measures to control nutrient pollution in salt marshes. Our study provides new insights for enhancing the resilience and sustainability of saltmarsh ecosystems.

Immunoglobulin E-Mediated Food Sensitization in a Moroccan Pediatric Population with Celiac Disease

Introduction: Celiac disease is a chronic autoimmune disorder that occurs following the ingestion of gluten, in genetically predisposed individuals. Patients with celiac disease, especially children, are likely prone to develop allergic reactions to different food allergens. However, the relationship between food allergy and celiac disease remains not elucidated. The aim of this pioneering study was to evaluate the prevalence of allergic food sensitization in children with celiac disease in Morocco. Methods: A total of 57 children with confirmed celiac disease, including 25 males and 32 females with a mean age of 8.6 ± 4.4 years, underwent a food allergen-specific immunoglobulin E (IgE) screening. This screening was conducted using a multiparametric immunodot assay (Euroline Food “Maghreb,” Euroimmun). Statistical analysis was performed using R software. Results: Among the 57 cases tested, the overall rate of IgE-mediated sensitization to food allergens was found to be 48% (27/57), dominated by chicken, with 51.9% (14/27), followed by almond, 40.7% (11/27), sesame, 40.7% (11/27), potato 33.3% (9/27), and apple 18.5% (5/27). Of the s-IgE positive cases, 74% were sensitized at least to one allergen, 37% (10/27) were sensitized to both chicken and almond allergens. A significant correlation was observed between almond, sesame, chicken, and potato. Conclusion: The current study highlighted a high prevalence of food allergen sensitization in children with celiac disease. This underlines the potential benefit in screening for food allergy in celiac patients.

Abstract 2391: Towards better prediction of treatment resistance: Directly modeling progression from multiple lesions

Abstract Late-stage cancers in the clinic present as a set of dispersed tumors, each with distinct growth kinetics. As most patients enrolled in trials of experimental anticancer therapeutics have late-stage malignancies, it is important to understand the impact of data analysis methodologies on the ability to detect treatment effect. In particular, we are interested in the potential risk posed by aggregating individual tumor measurements from multiple-lesion clinical data into a single tumor burden measurement, as this may cause a loss of information. In this work, we use quantitative modeling to assess how analyzing multiple lesions separately versus using an aggregated readout affects tumor response and detection of progression free survival and relapse. To assess the impact of data aggregation, we built a two-population clonal dynamics model consisting of sensitive and resistant tumor cells undergoing growth in the presence or absence of treatment. We performed parameter sweeps to assess the impact of individual model parameters on progression free survival and relapse. We then extended these sweeps to the multi-lesion situation, using nonlinear regression to compare parameter values of aggregated models and the parameter values of the individual models that comprised it. From our simulations, the most influential parameters in determining rebound are the growth rate of the resistant cells and the fraction of these cells, while growth rate of sensitive cells and growth rate inhibition affect effectiveness of treatment. In analyzing the multiple lesion model in different situations, we found that estimates for progression free survival were significantly more sensitive when the lesions were analyzed separately, rather than being aggregated. Our work suggests that aggregating the lesions into a single readout loses impact of individual lesion growth rate inhibitions, impairing early detection as the ability to detect fast growing, small, resistant lesions (despite overall tumor burden decreasing) is lost. Taken together, our findings suggest that data aggregation causes a loss of information. Relapse can be predicted at earlier times when using the multiple lesion model compared to an aggregated model. Citation Format: Samuel Protich, Madison Stoddard, Lin Yuan, Douglas White, Dean Bottino, Arijit Chakravarty. Towards better prediction of treatment resistance: Directly modeling progression from multiple lesions [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2391.

Abstract 1305: Comparison of HPV-DNA testing to PET-CT imaging as prognostic test following definitive treatment for cervical cancer: A retrospective proof-of-concept study

Abstract Cervical cancer is a significant global health issue, with oncogenic HPV-High Risk (HPV) responsible for over 99% of cases. Despite the prevalence of HPV-related malignancies, current guidelines by the National Comprehensive Cancer Center (NCCN) do not recommend post-treatment HPV-DNA testing. Instead, PET-CT imaging is recommended as a prognostic test. This retrospective proof-of-concept study aims to evaluate current NCCN guidelines and examines whether post-treatment HPV-HR DNA testing is a cost-effective, reliable alternative to PET-CT imaging in cervical cancer prognosis. Methods: The study included female patients diagnosed with cervical or vaginal carcinomas (2011-2021), ensuring comprehensive records of both pre-treatment and post-treatment high-risk HPV (HPV-HR) testing, alongside PET-CT imaging results. Utilizing the FDA-approved HPV-HR DNA test, capable of detecting 14 oncogenic HPV strains, the study conducted rigorous statistical analyses via STATA software to determine significance of the study results. Results: Our analysis of 53 patients who met the inclusion criteria demonstrated that post-treatment assessments using both HPV status and PET-CT imaging exhibited high levels of sensitivity and specificity, as well as impressive negative and positive predictive values (NPV and PPV, respectively). There was a statistically significant correlation between the likelihood of cancer recurrence and the results obtained from HPV status and PET-CT imaging post-treatment (p-value &amp;lt; 0.001). A critical observation was the superior sensitivity and improved NPV of post-treatment HPV status compared to PET-CT scans. Specifically, the sensitivity for HPV status post-treatment was quantified at 92.31, surpassing the 76.92 sensitivity rating of PET-CT scans. Furthermore, the NPV for post-treatment HPV status was measured at 97.44, which is better than the 92.31 NPV for PET-CT scans. Notably, no patients with negative post-treatment HPV-HR tests had a recurrence. Discussion: The results of this study underscore the clinical significance of assessing HPV-HR DNA status post-treatment, particularly when HPV-HR DNA is negative. If future prospective studies confirm these findings, it may eliminate the need for post-treatment PET-CT scans, providing significant survivorship benefits for patients by reducing follow-up visits and eliminating unnecessary imaging. This would also result in substantial financial savings, estimated to be over $75,000,000 per year in the US alone, based on 2023 data. The limitations of the study include small sample size, single-institution data, and biases associated with retrospective studies. Future multi-institutional prospective studies are necessary to improve current guidelines further and validate the findings of this study. Citation Format: Cameron Huddleston, Aya Bou Fakhreddine, Stephanie Stroever, Robert Young, Naresh Sah, Komaraiah Palle, Mark Reedy. Comparison of HPV-DNA testing to PET-CT imaging as prognostic test following definitive treatment for cervical cancer: A retrospective proof-of-concept study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1305.

Screening the General Population for Non-Alcoholic Fatty Liver Disease: Model Development and Validation

The prevalence of non-alcoholic fatty liver disease (NAFLD) is increasing worldwide. Screening the general population for this may help to select appropriate diagnostic and preventive measures before disease progression. We aimed to develop a screening method to identify patients with NAFLD in the general population. We analyzed cross-sectional data from a large Japanese study of NAFLD. Principal component analysis was used to analyze the data. Candidate predictors were patients' demographic, clinical, and laboratory characteristics. The resulting model was externally validated using three data sets from different populations. Of 15,464 (54.5% men) included patients, 2,741 (17.7%) had NAFLD as determined by ultrasonography. An index was calculated as the arithmetic mean of the scaled body mass index and serum triglyceride levels for both men and women. The area under the receiver operating characteristic curve, sensitivity, specificity, and false positive rate were 0.875, 0.824, 0.770, and 17.6%, respectively. The mean index values were significantly different between the patients with and without non-alcoholic fatty liver disease (p <0.001). The odds ratio of the index cutoff was 15.6 (95% confidence interval [CI]:14.05, 17.39). The model yielded areas under the curve of 0.828, 0.851, and 0.836 for a Chinese (N = 2,319), an Iranian (N = 2,160), and a Brazilian (N = 45,029) data set, respectively. The proposed composite index demonstrated high performance and generalizability, suggesting its potential use as a screening tool for NAFLD in the general population.

Clinical distribution of carbapenem genotypes and resistance to ceftazidime-avibactam in Enterobacteriaceae bacteria.

Bacterial resistance is a major threat to public health worldwide. To gain an understanding of the clinical infection distribution, drug resistance information, and genotype of CRE in Dongguan, China, as well as the resistance of relevant genotypes to CAZ-AVI, this research aims to improve drug resistance monitoring information in Dongguan and provide a reliable basis for the clinical control and treatment of CRE infection. VITEK-2 Compact automatic analyzer was utilized to identify 516 strains of CRE collected from January 2017 to June 2023. To determine drug sensitivity, the K-B method, E-test, and MIC methods were used. From June 2022 to June 2023, 80 CRE strains were selected, and GeneXpert Carba-R was used to detect and identify the genotype of the carbapenemase present in the collected CRE strains. An in-depth analysis was conducted on the CAZ-AVI in vitro drug sensitivity activity of various genotypes of CRE, and the results were statistically evaluated using SPSS 23.0 and WHONET 5.6 software. This study identified 516 CRE strains, with the majority (70.16%) being K.pneumoniae, followed by E.coli (18.99%). Respiratory specimens had highest detection rate with 53.77% identified, whereas urine specimens had the second highest detection rate with 17.99%. From June 2022 to June 2023, 95% of the strains tested using the CRE GeneXpert Carba-R assay possessed carbapenemase genes, of which 32.5% were blaNDM strains and 61.25% blaKPC strains. The results showed that CRE strains containing blaKPC had a significantly higher rate of resistance to amikacin, cefepime, and aztreonam than those harboring blaNDM. The CRE strains isolated from Dongguan region demonstrated a high resistance rate to various antibiotics used in clinical practice but a low resistance rate to tigecycline. These strains produce Class A serine carbapenemases and Class B metals β-lactamases, with the majority of them carrying blaNDM and blaKPC. Notably, CRE strains with blaKPC and blaNDM had significantly lower resistance rates to tigecycline. CAZ-AVI showed a good sensitivity rate with no resistance to CRE strains carrying blaKPC. Therefore, CAZ-AVI and tigecycline should be used as a guide for rational use of antibiotics in clinical practice to effectively treat CRE.

Inflammatory bowel disease evolution in the past two decades: a chronological multinational study

The multifactorial nature of inflammatory bowel disease (IBD), which manifests differently in individuals creates a need for a better understanding of the behaviour and pattern of the disease due to environmental factors. The current study aimed to study the changes in IBD behaviour, presentation, and characteristics in patients over the past two decades with a goal of improving patients' diagnosis, management and outcomes. During a 6-month period (1/02/2022-30/07/2022), the information of patients with IBD who attended IBD outpatient clinics of 11 referral centre's in six countries was collected, and based on the first time of diagnosis with IBD, they were allocated as group A (those who were diagnosed more than 15 years ago), group B (those who were diagnosed with IBD between 5 and 15 years ago) and group C (IBD cases who diagnosed in recent 5 years). Then the most prevalent subtypes and characters of the disease are evaluated and compared to make clear if the presenting pattern and behaviour of the disease has changed in the last 2 decades. Overall 1430 patients with IBD including 1207 patients with ulcerative colitis (UC) (84.5%) and 205 patients with Crohn's disease (CD; 14.3%) included. Mean age of participants at the first time of diagnosis with IBD was 30 years. The extra-intestinal involvement of IBD in groups A and B was more prevalent in comparison with group C. Most of those in groups A & B had academic education but in group C, the most prevalent educational status was high school or diploma (P=0.012). In contrast to groups A and B, the relative prevalence of medium socioeconomic level in group C had decreased (65%). Relative prevalence of UC subtypes was similar among groups A and B (extensive colitis as most prevalent) but in group C, the most prevalent subtype is left side colitis (38.17%). The most prevalent subtype of CD in groups A and B was ileocolic involvement while in group C, upper GI involvement is significantly increased. The rate of food sensitivity among groups A and B was more than group C (P=0.00001). The relative prevalence of patients with no flare has increased with a steady slope (P<0.00001). Relative prevalence of presenting symptoms among patients with UC in group C differs and nowadays the rate abdominal pain (70.7%) and bloating (43.9%) have increased and frequency of diarrhoea (67.4%) has decreased. In the recent 5 years, the pattern of UC presentation has changed. The rate of upper GI involvement in CD and relative prevalence of patients with no disease flare increased and the rate of extra intestinal involvement decreased. None.

Automated analysis and detection of epileptic seizures in video recordings using artificial intelligence.

Automated seizure detection promises to aid in the prevention of SUDEP and improve the quality of care by assisting in epilepsy diagnosis and treatment adjustment. In this phase 2 exploratory study, the performance of a contactless, marker-free, video-based motor seizure detection system is assessed, considering video recordings of patients (age 0-80 years), in terms of sensitivity, specificity, and Receiver Operating Characteristic (ROC) curves, with respect to video-electroencephalographic monitoring (VEM) as the medical gold standard. Detection performances of five categories of motor epileptic seizures (tonic-clonic, hyperkinetic, tonic, unclassified motor, automatisms) and psychogenic non-epileptic seizures (PNES) with a motor behavioral component lasting for >10 s were assessed independently at different detection thresholds (rather than as a categorical classification problem). A total of 230 patients were recruited in the study, of which 334 in-scope (>10 s) motor seizures (out of 1,114 total seizures) were identified by VEM reported from 81 patients. We analyzed both daytime and nocturnal recordings. The control threshold was evaluated at a range of values to compare the sensitivity (n = 81 subjects with seizures) and false detection rate (FDR) (n = all 230 subjects). At optimal thresholds, the performance of seizure groups in terms of sensitivity (CI) and FDR/h (CI): tonic-clonic- 95.2% (82.4, 100%); 0.09 (0.077, 0.103), hyperkinetic- 92.9% (68.5, 98.7%); 0.64 (0.59, 0.69), tonic- 78.3% (64.4, 87.7%); 5.87 (5.51, 6.23), automatism- 86.7% (73.5, 97.7%); 3.34 (3.12, 3.58), unclassified motor seizures- 78% (65.4, 90.4%); 4.81 (4.50, 5.14), and PNES- 97.7% (97.7, 100%); 1.73 (1.61, 1.86). A generic threshold recommended for all motor seizures under study asserted 88% sensitivity and 6.48 FDR/h. These results indicate an achievable performance for major motor seizure detection that is clinically applicable for use as a seizure screening solution in diagnostic workflows.

Spectrum and antibiotic sensitivity of bacterial keratitis: a retrospective analysis of eight years in a Tertiary Referral Hospital in Southwest China.

The objective of this study was to investigate the epidemiological characteristics, distribution of isolates, prevailing patterns, and antibiotic susceptibility of bacterial keratitis (BK) in a Tertiary Referral Hospital located in Southwest China. A retrospective analysis was conducted on 660 cases of bacterial keratitis occurring between January 2015 and December 2022. The demographic data, predisposing factors, microbial findings, and antibiotic sensitivity profiles were examined. Corneal trauma emerged as the most prevalent predisposing factor, accounting for 37.1% of cases. Among these cases, bacterial culture results were positive in 318 cases, 68 species of bacteria were identified. The most common Gram-Positive bacteria isolated overall was the staphylococcus epidermis and the most common Gram-Negative bacteria isolated was Pseudomonas aeruginosa. Methicillin-Resistant Staphylococci accounted for 18.1% of all Gram-Positive bacteria. The detection rate of P. aeruginosa showed an increasing trend over time (Rs=0.738, P=0.037). There was a significant decrease in the percentage of Gram-Negative microorganisms over time (Rs=0.743, P=0.035). The sensitivity of Gram-Positive bacteria to linezolid, vancomycin, tigecycline, quinupristin/dalfopristin, and rifampicin was over 98%. The sensitivity rates of Gram-Negative bacteria to amikacin, meropenem, piperacillin/tazobactam, cefoperazone sodium/sulbactam, ceftazidime, and cefepime were all above 85%. In patients with a history of vegetative trauma, the possibility of BK should be taken into account in addition to the focus on fungal keratitis. The microbial composition primarily consists of Gram-Positive cocci and Gram-Negative bacilli. Among the Gram-Positive bacteria, S. epidermidis and Streptococcus pneumoniae are the most frequently encountered, while P. aeruginosa is the predominant Gram-Negative bacteria. To combat Gram-Positive bacteria, vancomycin, linezolid, and rifampicin are considered excellent antimicrobial agents. When targeting Gram-Negative pathogens, third-generation cephalosporins exhibit superior sensitivity compared to first and second-generation counterparts. As an initial empirical treatment for severe cases of bacterial keratitis and those unresponsive to fourth-generation fluoroquinolones in community settings, the combination therapy of vancomycin and tobramycin is a justifiable approach. Bacterial keratitis can be better managed by understanding the local etiology and antibacterial drug susceptibility patterns.

Efficacy of Glass Ionomer Cement as Pit and Fissure Sealant in Permanent First Molars.

Background/Objectives Pit and fissure caries constitute a predominant portion, approximately 90% in permanent posterior teeth and 44% in primary teeth among children and adolescents. Among various preventive modalities, pit and fissure sealants play a pivotal role in safeguarding these vulnerable areas. Categorized by materials such as glass ionomer, composites, and polyacid-modified glass ionomers, these sealants offer effective protection. This study aims to evaluate the efficacy of glass ionomer-based pit and fissure sealants in terms of retention rate at 12-month post-procedure period in permanent first molars. Methodology This study was conducted at the Department of Operative Dentistry, Nishtar Institute of Dentistry, Multan, Pakistan. Fifty-six children, aged 7 to 12 years, presenting with pit and fissure caries in permanent first molar teeth were enrolled. Glass ionomer sealantwas meticulously applied to the affected pits and fissures. The efficacy was assessed after 12 months based on predefined criteria. Results The age of participants ranged from 7 to 12 years, with a mean age of 9.24 ± 1.38 years. Among the 56 patients, 23 (41.2%) were male and 33 (58.8%) were female. Sealant retention was noted in 31 (55.35%) patients, while 25 (44.65%) experienced sealant loss. In the 7 to 9-year age group, 19 demonstrated complete sealant retention, whereas in the 10 to 12-year age group, 12 exhibited complete retention. Concerning gender distribution, 17 males and 14 females exhibited complete sealant retention. Conclusion Glass ionomer-based sealants demonstrate excellent properties for pit and fissure sealing owing to their low technique sensitivity, cost-effectiveness, and favorable retention rates. Therefore, they represent an optimal choice for this preventive dental procedure.

Self-enhanced nanohydrogel electrochemiluminescence biosensor based on CRISPR/Cas12a and gold platinum nanoparticles modification for high-sensitivity detection of Burkholderia pseudomallei

The simple, rapid, and accurate detection of highly lethal melioidosis is crucial for early clinical diagnosis and improving cure rates. Currently, due to time consumption, low sensitivity and detection rate the existing clinical detection methods cannot satisfy the needs of clinical diagnosis. Herein, a novel self-enhanced porous hydrogel material (Au@PEI-ABEI@Pt) for ultrasensitive ECL strategy of detection B. pseudomallei was report. The novel porous hydrogel material composed of PEI-ABEI porous hydrogel, gold nanoparticles (AuNP) and platinum nanoparticles (PtNP) have large specific surface area and porous structure, which not only fix more ABEI to realize self-enhanced ECL signal amplification, but also facilitate ion diffusion and efficient utilization of catalytic materials, realizing rapid electron transfer and zero-distance catalysis, significantly improving the initial signal of ECL sensor. Moreover, the most attractive aspect is that Au@PEI-ABEI@Pt hydrogels with good biocompatibility can achieve widespread application of CRISPR/Cas12a in solid-phase carriers without affecting the sensitivity, specificity and shearing activity of CRISPR/Cas12a. After coupling with the ECL system and CRISPR/Cas12a signal amplification strategy, the Au@PEI-ABEI@Pt can achieve an ultrasensitive ECL assay of B. pseudomallei with the LOD of 5 CFU mL−1 in complex samples, with high specificity and stability to effectively classify B. pseudomallei and other Gram-negative bacteria. This study shows that the developed porous hydrogel materials not only serve as an excellent ECL signal reporter to significantly improve the detection sensitivity of ECL biosensors, but also provide a new approach for the wide application of CRISPR/Cas systems in solid-phase carriers.

All Ceramic Ion Sensor Using Dielectric BaTiO3 Transducer

An all‐solid‐state impedance metric hydrogen‐phosphate ion sensor device has been tried to fabricate using BaTiO3 as a transducer and spinel‐type oxide receptor. AC impedance measurement was carried out using flow‐cell system with boric‐acid buffer solution with hydrogen‐phosphate ion The Co2RhO4/BaTiO3 sensor device was found to show impedance responses to hydrogen‐phosphate ion at 5 × 10−4 M and 1.0 × 10−2 M with the 90% response time of ca. 150 s. The Co2RhO4/BaTiO3 device showed good response characteristics among the tested devices in terms of sensitivity and restoration rate. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

Antigen-specific chemokine profiles as biomarkers for detecting Mycobacterium tuberculosis infection.

Latent tuberculosis (TB) infection can progress to active TB, which perpetuates community transmission that undermines global TB control efforts. Clinically, interferon-γ release assays (IGRAs) are commonly used for active TB case detection. However, low IGRA sensitivity rates lead to false-negative results for a high proportion of active TB cases, thus highlighting IGRA ineffectiveness in differentiating MTB-infected individuals from healthy individuals. Participants enrolled at Beijing Chest Hospital from May 2020-April 2022 were assigned to healthy control (HC), LTBI, IGRA-positive TB, and IGRA-negative TB groups. Screening cohort MTB antigen-specific blood plasma chemokine concentrations were measured using Luminex xMAP assays then were verified via testing of validation cohort samples. A total of 302 individuals meeting study inclusion criteria were assigned to screening and validation cohorts. Testing revealed significant differences in blood plasma levels of CXCL9, CXCL10, CXCL16, CXCL21, CCL1, CCL19, CCL27, TNF-α, and IL-4 between IGRA-negative TB and HC groups. Levels of CXCL9, CXCL10, IL-2, and CCL8 biomarkers were predictive for active TB, as reflected by AUC values of ≥0.9. CXCL9-based enzyme-linked immunosorbent assay sensitivity and specificity rates were 95.9% (95%CI: 91.7-98.3) and 100.0% (92.7-100.0), respectively. Statistically similar AUC values were obtained for CXCL9 and CXCL9-CXCL10 assays, thus demonstrating that combined analysis of CXCL10 and CXCL9 levels did not improve active TB diagnostic performance. The MTB antigen stimulation-based CXCL9 assay may compensate for low IGRA diagnostic accuracy when used to diagnose IGRA-negative active TB cases and thus is an accurate and sensitive alternative to IGRAs for detecting MTB infection.

Internet of Bio-NanoThings privacy: securing a multi compartmental targeted cancer drug delivery scheme

The Internet of Bio-Nano Things concept (IoBNT) emerged from the need to establish connections between biological nanomachines, the intra-body nanonetwork, and the cyber internet to facilitate information exchange. While extensive research has concentrated on optimizing communication efficiency among nanodevices within networks, challenges such as IoBNT security and the interface linking nanonetwork to the internet have remained unaddressed. Consequently, this study introduces a privacy scheme designed to operate atop the Physical Cyber Interface (pHCI) within the IoBNT framework. Our proposed chaotic system derives its foundation from the command signals issued by medical personnel to pHCI devices implanted within the human body. It employs a concealed version of features generated through a Modified Quadratic Map (MQM) to enhance the privacy of patient information and to ensure a precise dosage release. Additionally, our scheme incorporates Binary Phase Shifting Key (BPSK) modulation through the incorporation of a carrier wave, along with feature extraction with zero-crossing rates. This privacy scheme significantly amplifies the key space, thereby guaranteeing an accurate right dose release with the protection of patient privacy. To assess the performance of our proposed scheme, we evaluate its operation on top of the pHCI device using various performance metrics. Subsequently, we study its performance by employing multi-compartmental models in both the forward and reverse pHCI directions of the IoBNT paradigm. The results from our simulation model clearly illustrate that the IoBNT-based privacy scheme has potential to enhance the delivery of therapeutic drugs to target cells while effectively addressing privacy concerns. An evaluation of performance metrics for two binary codes (thermal and light) reveals sensitivity and specificity rates of 95.333% and 95%, 100%, and 100%, respectively. Furthermore, the performance of our proposed privacy scheme, as measured by EER, accuracy, NPV, and PPV, has proven to be highly satisfactory. Hence, our proposed scheme makes significant role in enhancing the security of the physical cyber interface device while remaining cost-effective, and ensuring the safety of patients' life and confidentiality.

Systemic immune-inflammation index as a novel hematological marker for predicting the recurrence of deep venous thrombosis.

To determine whether there was a possible predictive relationship between systemic immune-inflammation index (SII) and recurrence of deep venous thrombosis (DVT). A total of 231 patients with DVT who met the study criteria and whose data could be accessed were enrolled to this retrospective single-centered cross-sectional study. Of them 26 patients with DVT recurrence consisted of the study group (Group 1) while remaining 205 cases without recurrence were considered as the control population (Group 2). The patients' basic clinical features and laboratory results from the complete blood count (CBC) test were recorded and compared between groups. Following univariate analyses, a multivariate logistic regression analysis was performed to identify the independent predictors of the recurrence of DVT. Additionally, a receiver-operating characteristic (ROC) curve analysis was performed to detect the cut-off values of the predictors with sensitivity and specificity rates. There were no significant differences between the groups for basic clinical features, except for diabetes mellitus, pulmonary embolism, and atrial fibrillation. Although the univariate analysis revealed that the median values of NLR, PLR, and SII were significantly higher in the DVT recurrence group, only SII was determined to be a significant and independent predictor of DVT recurrence in the multivariate logistic regression analysis. According to ROC curve analysis, SII of 1685 × 103/mm3 constituted the cut-off value for predicting DVT recurrence with 61.5% sensitivity and 76.6% specificity (AUC = 0.686, p = .001). The present study demonstrated for the first time in the literature that SII significantly predicted the recurrence of DVT.

Measures of performance validity for Hispanic/Latin American adults: A PRISMA systematic review.

Use of performance validity tests (PVTs) to assess suboptimal performance has become a recommended feature in neuropsychological evaluations. However, most of the literature has examined the utility of PVTs in primarily non-Hispanic White, monolingual English-speaking samples. Given the continual growth of culturally and linguistically diverse (CALD) populations, especially Hispanic/Latin Americans (H/Ls), it is necessary to provide an updated review on the available literature involving the use of PVTs in H/L adults. We conducted a systematic review that examined the available literature surrounding use of performance validity measures in H/L adults. This review identified evidence for the utility of PVTs in assessing invalid performance in H/Ls and compiled psychometric properties related to these measures, specifically rates of specificity and sensitivity when available. We identified six standalone and four embedded performance validity measures that have been examined in H/Ls. The Test of Memory Malingering (TOMM) was identified as the PVT most studied in various H/L heritage groups. Across the studies reviewed, adjustments to cutoff scores are generally recommended for the majority of PVTs discussed. Within H/Ls, specificity rates tend to be bolstered when sociocultural factors, like education, are considered. Recommended cutoff scores across the different PVTs reviewed are not typically suitable for use in heritage groups of H/L adults, especially in groups that include adults with lower levels of education and literacy. Therefore, education may need to be considered when applying cutoffs to these populations.

Predictive value of drain fluid amylase level on postoperative day one after pancreatic resection for predicting postoperative pancreatic fistula.

The aim of this study was to evaluate the predictive value of the first postoperative day (POD1) drain fluid amylase in predicting pancreatic fistula formation following pancreaticoduodenectomy (PD). One-hundred and eighty-five prospective patients undergoing PD between April 2014 and April 2018 were studied retrospectively. Cut-off point to predict the development of POPF was determined by median values for drain fluid amylase of 1883 U/L. Patients were classified into two groups according to POD1 drain fluid amylase values: <1883 U/L (Group 1) and ≥1883 U/L (Group 2). Differences between the groups with clinically relevant POPF and without POPF were evaluated. The incidence of POPF was 17.2%. POD1 amylase level was the strongest predictor of POPF, with levels of higher than 1883 U/L demonstrating the best accuracy (87.5%), sensitivity (78.1%), specificity (89.5%), positive predictive value (60.9%), and negative predictive value (95.1%). One-hundred and forty-four patients (77.8%) had a POD1 drain amylase level of less than 1883 U/L, and POPF developed in only seven (3.7%) cases, whereas in patients with POD1 drain amylase level of 1883 U/L or higher (n= 41), the POPF rate was 31.4% [OR: 22.24, 95% CI (7.930-62.396), p<0.001]. The cut-off point of POD1 drain fluid amylase level (1883 U/L) might predict the clinically relevant POPF with adequate sensitivity and specificity rates in patients undergoing pancreatic resection.