scholarly journals Vibrational Spectroscopy of Peritoneal Dialysis Effluent for Rapid Assessment of Patient Characteristics

Biomolecules ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 965
Author(s):  
Tom Grunert ◽  
Rebecca Herzog ◽  
Florian M. Wiesenhofer ◽  
Andreas Vychytil ◽  
Monika Ehling-Schulz ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Ftir Spectroscopy ◽  
Controlled Trial ◽  
Rapid Assessment ◽  
Principal Component ◽  
Cost Effective ◽  
Patient Characteristics ◽  
Biological Information ◽  
Molecular Fingerprinting ◽  
Transport Parameters

Peritoneal dialysis (PD) offers specific advantages over hemodialysis, enabling increased autonomy of patients with end-stage renal disease, but PD-related complications need to be detected in a timely manner. Fourier transform infrared (FTIR) spectroscopy could provide rapid and essential insights into the patients’ risk profiles via molecular fingerprinting of PD effluent, an abundant waste material that is rich in biological information. In this study, we measured FTIR spectroscopic profiles in PD effluent from patients taking part in a randomized controlled trial of alanyl-glutamine addition to the PD-fluid. Principal component analysis of FTIR spectra enabled us to differentiate between effluent samples from patients immediately after completion of instillation of the PD-fluid into the patients’ cavity and 4 h later as well as between patients receiving PD-fluid supplemented with 8 mM alanyl-glutamine compared with control. Moreover, feasibility of FTIR spectroscopy coupled to supervised classification algorithms to predict patient-, PD-, as well as immune-associated parameters were investigated. PD modality (manual continuous ambulatory PD (CAPD) vs. cycler-assisted automated PD (APD)), residual urine output, ultrafiltration, transport parameters, and cytokine concentrations showed high predictive potential. This study provides proof-of-principle that molecular signatures determined by FTIR spectroscopy of PD effluent, combined with machine learning, are suitable for cost-effective, high-throughput diagnostic purposes in PD.

scholarly journals Quantification of carbohydrates in fruit juices using FTIR spectroscopy and multivariate analysis

2011 ◽  
Vol 26 (2) ◽  
pp. 93-104 ◽  
Author(s):  
Loredana F. Leopold ◽  
Nicolae Leopold ◽  
Horst-A. Diehl ◽  
Carmen Socaciu
Keyword(s):  
Ftir Spectroscopy ◽  
Multivariate Statistics ◽  
Sucrose Concentration ◽  
Principal Component ◽  
Cost Effective ◽  
Average Concentration ◽  
Fruit Juices ◽  
Routine Monitoring ◽  
Sweetness Intensity ◽  
High Sucrose Concentration

A combination of Fourier-transform infrared spectroscopy (FTIR) and multivariate statistics was applied as screening tool for the quantitative determination of carbohydrates, such as glucose, fructose and sucrose, in 28 processed commercial fruit juices and 5 genuine juices obtained from squeezed fruits. A number of 13 mixtures of glucose, fructose and sucrose standard solutions were prepared at different concentrations, scanned by attenuated total reflectance (ATR) FTIR spectroscopy and analyzed in the 900 and 1400 cm−1spectral range. Principal component analysis (PCA) of the standard carbohydrate solutions enabled a better understanding of the main sources of variability affecting the FTIR spectra. Also, PCA enabled the grouping of apple, orange and peach juices. Calibration models for each carbohydrate, using partial least squares (PLS) regression were developed and used for prediction purposes. Cross-validation procedures indicated correlations of 0.88, 0.92 and 0.98 for glucose, fructose and sucrose, respectively, between HPLC measured values and FTIR first derivative spectra estimates. Carbohydrates in the expected concentration ranges were found for most of the pure fruit labelled juices. The samples with 4–50% pure fruit juice content showed discrepancies from average concentration values of authentic juices, mainly a high sucrose concentration can flag sucrose addition to maintain the juice sweetness intensity. The present results confirmed the efficiency of FTIR spectroscopy, in combination with multivariate statistics, as a rapid, reliable and cost-effective tool for routine monitoring of multiple constituents in fruit juices, as quality indicators.

scholarly journals Are North American Nephrologists Biased against Peritoneal Dialysis?

2001 ◽  
Vol 21 (4) ◽  
pp. 335-337 ◽  
Author(s):  
Andre F. Charest ◽  
David C. Mendelssohn
Keyword(s):  
Peritoneal Dialysis ◽  
Response Rate ◽  
Secondary Analysis ◽  
Cost Effective ◽  
Patient Characteristics ◽  
Related Factors ◽  
Current Prevalence ◽  
Major Factors ◽  
Stage Renal Disease ◽  
End Stage

Objective To examine possible bias against peritoneal dialysis (PD) by nephrologists less familiar with it. Design Secondary analysis of a previously reported survey. Participants All practicing Canadian nephrologists ( n = 290, response rate 66.2%) and a subgroup of American nephrologists who were members of the National Kidney Foundation Council on Dialysis ( n = 507, response rate 47.3%). Responses were then subdivided by type of dialysis practice: mainly or only hemodialysis (HD, n = 117), mainly or only PD ( n = 16), or both HD and PD ( n = 232). Intervention Self-administered mailed questionnaire. Main Outcome Measures Opinions and attitudes of nephrologists concerning patient characteristics favoring one dialysis modality over the other, as well as the relative utilization of HD and PD currently and in a hypothetical ideal situation. Results The main differences were present between physicians practicing mainly HD and physicians practicing mainly PD, with those practicing both giving answers usually intermediate to the others. The maximum weight suitable for PD was 10 kg less according to HD-oriented nephrologists compared with PD-oriented nephrologists (97.8 kg vs 108.5 kg). All nephrologists agreed that, ideally, 40% of prevalent end-stage renal disease patients should be on PD to optimize cost-effectiveness, whereas the proportion should be between 32% and 45% when one optimizes survival, wellness, and quality of life. In general, differences between groups were small. Conclusions Most nephrologists favored a proportion of PD higher than the current prevalence seen in either Canada or the U.S.A. If physicians’ biases are contributing to the distribution of dialysis modalities, they are not likely to be major factors. Unknown but important factors, external to the physician, may shape modality distribution more than the opinions and attitudes of physicians. If a more balanced and cost-effective dialysis delivery system is desired, more understanding and manipulation of these non physician-related factors will be required.

scholarly journals An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People

2020 ◽  
Vol 17 (14) ◽  
pp. 5082
Author(s):  
Constantin Ciucurel ◽  
Elena Ioana Iconaru
Keyword(s):  
Clinical Features ◽  
Online Survey ◽  
Statistical Data ◽  
Rapid Assessment ◽  
Principal Component ◽  
Cost Effective ◽  
Cluster Solution ◽  
Distinct Factor ◽  
Health Related ◽  
Categorical Principal Component Analysis

The aim of this study was to investigate the prevalence of the clinical features of the SARS-CoV-2 infection in Romanian population through a novel online survey. The survey included categorical socio-demographic and health-related variables. A total of 1830 participants were selected for statistical data processing (a response rate of 90.9%). We determined reasonable reliability of the survey section for clinical features of SARS-CoV-2 infection (Cronbach’s Alpha 0.671). Two meaningful dimensions were identified through CATPCA (Categorical Principal Component Analysis) for the survey’s items. We separated two significant clusters of items, each measuring a distinct factor: the sociodemographic characteristics linked to social distancing and the relevant clinical features of SARS-CoV-2 infection. Next, a two-step cluster analysis helped to classify the sample group taking into consideration the similarity of subjects. The clustering revealed a three-cluster solution, with significant differences between clusters and allowed the cluster detection of a group of individuals, possibly more affected by the infection with the SARS-CoV-2 virus. Through binomial logistic regression analysis, we identified a statistically significant prediction model for the presumptive diagnostic of some relevant clinical features of SARS-CoV-2 infection. Our study validated a cost-effective model for rapid assessment of the health status of subjects, adapted to the context of SARS-CoV-2 pandemic.

Monitoring effluent quality in hypertrophic wastewater reservoirs using remote sensing

1996 ◽  
Vol 33 (8) ◽  
pp. 23-29 ◽  
Author(s):  
I. Dor ◽  
N. Ben-Yosef
Keyword(s):  
Water Quality ◽  
Theoretical Model ◽  
Principal Component ◽  
Cost Effective ◽  
Operational Parameters ◽  
Effluent Quality ◽  
Optical Images ◽  
Routine Monitoring ◽  
Cost Effective Method ◽  
Wastewater Quality

About one hundred and fifty wastewater reservoirs store effluents for irrigation in Israel. Effluent qualities differ according to the inflowing wastewater quality, the degree of pretreatment and the operational parameters. Certain aspects of water quality like concentration of organic matter, suspended solids and chlorophyll are significantly correlated with the water column transparency and colour. Accordingly optical images of the reservoirs obtained from the SPOT satellite demonstrate pronounced differences correlated with the water quality. The analysis of satellite multispectral images is based on a theoretical model. The model calculates, using the radiation transfer equation, the volume reflectance of the water body. Satellite images of 99 reservoirs were analyzed in the chromacity space in order to classify them according to water quality. Principal Component Analysis backed by the theoretical model increases the method sensitivity. Further elaboration of this approach will lead to the establishment of a time and cost effective method for the routine monitoring of these hypertrophic wastewater reservoirs.

scholarly journals Effect of leg wrapping technique on prevention of spinal induced hypotension and fetal acidosis during cesarean section: Randomized controlled trial

2019 ◽  
Vol 10 (2) ◽  
pp. 70
Author(s):  
Samah Nasser Abd El-Aziz El-Shora ◽  
Amina Mohamed Rashad El-Nemer
Keyword(s):  
Randomized Controlled Trial ◽  
Cesarean Section ◽  
Controlled Trial ◽  
Intervention Group ◽  
Cost Effective ◽  
Control Group ◽  
Induced Hypotension ◽  
Randomized Controlled ◽  
Significant Difference ◽  
Wrapping Technique

Background and aim: Hypotension during cesarean section (CS) under spinal anesthesia has been a subject of scientific study for more than 50 years and the search for the most effective strategy to achieve hemodynamic stability remains challenging. Aim: The study was carried out to apply leg wrapping technique for the prevention of spinal-induced hypotension (SIH) during CS.Methods: Randomized Controlled Trial design was utilized at cesarean delivery operating room Mansoura General Hospital in El-Mansoura City during the period from May 2018 to November 2018. A purposive sample of 88 pregnant women, assigned randomly to an intervention group (n = 44) in which their legs wrapped with elastic crepe bandage and control group (n = 44) in which no wrapping was done. Data collected for maternal, neonatal hemodynamic and signs of hypotension, the feasibility of application and cost analysis.Results: There was a statistically significant difference in the incidence of SIH and Ephedrine use among both groups (18.20% in leg wrapping group whereas 75% in control group). In addition, neonatal acidosis and NICU admission were less among leg wrapping group (11.40%, 9.10% respectively). Economically, leg wrapping technique was cost effective compared to the cost of the hospital regimen for treating SIH and admission to (NICU).Conclusion and recommendations: Leg wrapping technique was cost effective and an efficient method for decreasing SIH, neonatal acidosis and Ephedrine administration. It is recommended to apply leg wrapping technique in maternal hospitals' protocol of care for decreasing SIH during CS.

scholarly journals Biodegradable and Compostable Shopping Bags under Investigation by FTIR Spectroscopy

2021 ◽  
Vol 11 (2) ◽  
pp. 621
Author(s):  
Silvana Alfei ◽  
Anna Maria Schito ◽  
Guendalina Zuccari
Keyword(s):  
Principal Component Analysis ◽  
Ftir Spectroscopy ◽  
Principal Component ◽  
Poly Lactic Acid ◽  
Chemometric Methods ◽  
Industrial Sectors ◽  
Fresh Food ◽  
Extruded Films ◽  
Productive Process ◽  
Non Destructive

In the recent years, plastic-based shopping bags have become irregular and progressively replaced by compostable ones. To be marketed, these “new plastics” must possess suitable requirements verified by specific bodies, which grant the conformity mark, and the approved physicochemical properties are periodically verified. The fast, inexpensive, non-destructive, easy to use, and reproducible Fourier-Transform infrared (FTIR) spectroscopy is a technique routinely applied to perform analysis in various industrial sectors. To get reliable information from spectral data, chemometric methods, such as Principal Component Analysis (PCA), are commonly suggested. In this context, PCA was herein performed on 4, 5, and 21 × 3251 matrices, collecting the FTIR data from regular and irregular shopping bags, including three freshly extruded films from the Italian industry MecPlast, to predict their compliance with legislation. The results allowed us to unequivocally achieve such information and to classify the bags as suitable for containing fresh food in bulk or only for transport. A self-validated linear model was developed capable to estimate, by acquiring a single FTIR spectrum if, after the productive process, the content of renewable poly-lactic-acid (PLA) in a new produced film respect the expectations. Surprisingly, our findings established that among the grocery bags available on the market, irregular plastic-based shopping bags continue to survive.

scholarly journals Real Time Breath Analysis Using Portable Gas Chromatography for Adult Asthma Phenotypes

Metabolites ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 265
Author(s):  
Ruchi Sharma ◽  
Wenzhe Zang ◽  
Menglian Zhou ◽  
Nicole Schafer ◽  
Lesa A. Begley ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Real Time ◽  
Rapid Assessment ◽  
Principal Component ◽  
Corticosteroid Treatment ◽  
Breath Analysis ◽  
Blood Eosinophil ◽  
Exhaled Breath ◽  
Respiratory Illnesses ◽  
Linear Discriminant

Asthma is heterogeneous but accessible biomarkers to distinguish relevant phenotypes remain lacking, particularly in non-Type 2 (T2)-high asthma. Moreover, common clinical characteristics in both T2-high and T2-low asthma (e.g., atopy, obesity, inhaled steroid use) may confound interpretation of putative biomarkers and of underlying biology. This study aimed to identify volatile organic compounds (VOCs) in exhaled breath that distinguish not only asthmatic and non-asthmatic subjects, but also atopic non-asthmatic controls and also by variables that reflect clinical differences among asthmatic adults. A total of 73 participants (30 asthma, eight atopic non-asthma, and 35 non-asthma/non-atopic subjects) were recruited for this pilot study. A total of 79 breath samples were analyzed in real-time using an automated portable gas chromatography (GC) device developed in-house. GC-mass spectrometry was also used to identify the VOCs in breath. Machine learning, linear discriminant analysis, and principal component analysis were used to identify the biomarkers. Our results show that the portable GC was able to complete breath analysis in 30 min. A set of nine biomarkers distinguished asthma and non-asthma/non-atopic subjects, while sets of two and of four biomarkers, respectively, further distinguished asthmatic from atopic controls, and between atopic and non-atopic controls. Additional unique biomarkers were identified that discriminate subjects by blood eosinophil levels, obese status, inhaled corticosteroid treatment, and also acute upper respiratory illnesses within asthmatic groups. Our work demonstrates that breath VOC profiling can be a clinically accessible tool for asthma diagnosis and phenotyping. A portable GC system is a viable option for rapid assessment in asthma.

scholarly journals Semi-automated regional classification of the style of activity of slow rock-slope deformations using PS InSAR and SqueeSAR velocity data

Landslides ◽  
2021 ◽  
Author(s):  
Chiara Crippa ◽  
Elena Valbuzzi ◽  
Paolo Frattini ◽  
Giovanni B. Crosta ◽  
Margherita C. Spreafico ◽  
...  
Keyword(s):  
Rock Slope ◽  
Progressive Failure ◽  
Principal Component ◽  
Cost Effective ◽  
Displacement Rate ◽  
Machine Learning Classification ◽  
Management Perspective ◽  
Alpine Environments

AbstractLarge slow rock-slope deformations, including deep-seated gravitational slope deformations and large landslides, are widespread in alpine environments. They develop over thousands of years by progressive failure, resulting in slow movements that impact infrastructures and can eventually evolve into catastrophic rockslides. A robust characterization of their style of activity is thus required in a risk management perspective. We combine an original inventory of slow rock-slope deformations with different PS-InSAR and SqueeSAR datasets to develop a novel, semi-automated approach to characterize and classify 208 slow rock-slope deformations in Lombardia (Italian Central Alps) based on their displacement rate, kinematics, heterogeneity and morphometric expression. Through a peak analysis of displacement rate distributions, we characterize the segmentation of mapped landslides and highlight the occurrence of nested sectors with differential activity and displacement rates. Combining 2D decomposition of InSAR velocity vectors and machine learning classification, we develop an automatic approach to characterize the kinematics of each landslide. Then, we sequentially combine principal component and K-medoids cluster analyses to identify groups of slow rock-slope deformations with consistent styles of activity. Our methodology is readily applicable to different landslide datasets and provides an objective and cost-effective support to land planning and the prioritization of local-scale studies aimed at granting safety and infrastructure integrity.

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