Infrared Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry Imaging of Human Hair to Characterize Longitudinal Profiles of the Antiretroviral Maraviroc for Adherence Monitoring

Gilliland, William M.; Prince, Heather M. A.; Poliseno, Amanda; Kashuba, Angela D. M.; Rosen, Elias P.

doi:10.1021/acs.analchem.9b02464

Cited by 19 publications

(20 citation statements)

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“…Now, it has a considerable scale in some western developed countries. In some highly urbanized regions and countries, rural tourism can account for 10%-25% of all tourism activities [14][15][16]. e development of rural tourism has effectively changed the phenomenon of rural economic downturn.…”

Section: Network Informationization Of Rural Tourism Based On Mvc Modelmentioning

confidence: 99%

Design and Management of Control System for Rural Tourism Network Information Based on MVC Model

Dong

2021

Mobile Information Systems

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Tourism has developed into an industry with a powerful momentum of development in the world today. With the development of information technology, information has become a powerful driving force to promote the prosperity and development of the tourism industry and the entire society. The introduction of the tourism information system can significantly improve the service level, operation level, and management level of the tourism industry, thereby accelerating tourism development. The research of this article is to help villages establish a set of MVC-based rural tourism information service systems that can promote the development of rural tourism. First of all, this article conducts demand research on tourists, rural scenic spots, and ancient villages to discover the problems in rural tourism development. Secondly, this paper combines the problems existing in constructing the various subsystems of the rural tourism information system, combined with the fuzzy comprehensive evaluation method. In this paper, we propose the rural tourism system architecture based on MVC. The system architecture consists of the user layer, service layer, business layer, and data layer. It describes the system’s implementation process from two aspects: the system’s interface design and its deployment model. Finally, the network topology structure of the rural tourism information service system based on MVC is drawn. Finally, the system’s deployment is implemented according to the network topology structure.

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Section: Network Informationization Of Rural Tourism Based On Mvc Modelmentioning

confidence: 99%

Design and Management of Control System for Rural Tourism Network Information Based on MVC Model

Dong

2021

Mobile Information Systems

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“…Currently, the following methods are used in China and other countries to determine adherence in AIDS patients: (1) self-reported evaluation questionnaires [ 9 , 11 , 13 , 14 , 16 – 20 ], (2) tablet, prescription and pharmacy records for drug count [ 21 , 22 ], (3) plasma drug concentration monitoring [ 10 , 22 , 23 ] and (4) a mixture of self-reported questionnaires and plasma drug concentration monitoring. However, method (1) tends to be limited by patient-related subjective factors, and its reliability and validity tend to be questionable.…”

Section: Introductionmentioning

confidence: 99%

Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model

Wang

Shen

2021

AIDS Res Ther

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Background Highly active antiretroviral therapy (ART) is still the only effective method to stop the disease progression in acquired immunodeficiency syndrome (AIDS) patients. However, poor adherence to the therapy makes it ineffective. In this work, we construct an adherence prediction model of AIDS patients using the classical recency, frequency and monetary value (RFM) model in the data mining-based customer relationship management model to obtain adherence predictor variables. Methods We cleaned 257,305 diagnostic data elements of AIDS outpatients in Shanghai from August 2009 to December 2019 to obtain 16,440 elements. We tested the RFM and RFm (R: recent consultation month, F: consultation frequency, M/m: total/average medical costs per visit) models, three clustering methods (K-means, Kohonen and two-step clustering) and four decision algorithms (C5.0, the classification and regression tree, Chi-square Automatic Interaction Detector and Quick, Unbiased, Efficient, Statistical Tree) to select the optimal combination. The optimal model and clustering analysis were used to divide the patients into two groups (good and poor adherence), then the optimal decision algorithm was used to construct the prediction model of adherence and obtain its predictor variables. Results The results revealed that the RFm model, K-means clustering analysis and C5.0 algorithm were optimal. After three rounds of k-means clustering analysis, the optimal RFm clustering model quality was 0.8, 10,614 elements were obtained, including 9803 and 811 from patients with good or poor adherence, respectively, and five types of patients were identified. The prediction model had an accuracy of 100% with the recent consultation month as an important adherence predictor variable. Conclusions This work presented a prediction model for medication adherence in AIDS patients at the designated AIDS center in Shanghai, using the RFm model and the k-means and C5.0 algorithms. The model can be expanded to include patients from other centers in China and worldwide.

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“…Quantitative MSI analysis of HIV antiretrovirals in human hair strands has also been reported, with LODs less than or equal to 1.6 ng/mg hair and linear response relative to LC‐MS/MS ranging three orders of magnitude (Rosen et al, 2016). The feasibility of IR‐MALDESI as a clinical tool was further demonstrated in monitoring patient adherence to the antiretroviral maraviroc (MVC) (Gilliland et al, 2019). Using cholesterol to identify the location of the hair strands, MVC was detected along the length of hair strands 28 days after single or daily doses.…”

Section: Laser Desorption/ablation Coupled To Ambient Ionization In Bioapplicationsmentioning

confidence: 99%

Laser Desorption/Ablation Postionization Mass Spectrometry: Recent Progress in Bioanalytical Applications

Ding

Liu

Shi

2020

Mass Spectrometry Reviews

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Lasers have long been used in the field of mass spectrometric analysis for characterization of condensed matter. However, emission of neutrals upon laser irradiation surpasses the number of ions. Typically, only one in about one million analytes ejected by laser desorption/ablation is ionized, which has fueled the quest for postionization methods enabling ionization of desorbed neutrals to enhance mass spectrometric detection schemes. The development of postionization techniques can be an endeavor that integrates multiple disciplines involving photon energy transfer, electrochemistry, gas discharge, etc. The combination of lasers of different parameters and diverse ion sources has made laser desorption/ablation postionization (LD/API) a growing and lively research community, including two‐step laser mass spectrometry, laser ablation atmospheric pressure photoionization mass spectrometry, and those coupled to ambient mass spectrometry. These hyphenated techniques have shown potentials in bioanalytical applications, with major inroads to be made in simultaneous location and quantification of pharmaceuticals, toxins, and metabolites in complex biomatrixes. This review is intended to provide a timely comprehensive view of the broadening bioanalytical applications of disparate LD/API techniques. We also have attempted to discuss these applications according to the classifications based on the postionization methods and to encapsulate the latest achievements in the field of LD/API by highlighting some of the very best reports in the 21st century. © 2020 John Wiley & Sons Ltd.

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Infrared Matrix-Assisted Laser Desorption Electrospray Ionization Mass Spectrometry Imaging of Human Hair to Characterize Longitudinal Profiles of the Antiretroviral Maraviroc for Adherence Monitoring

Cited by 19 publications

References 50 publications

Design and Management of Control System for Rural Tourism Network Information Based on MVC Model

Design and Management of Control System for Rural Tourism Network Information Based on MVC Model

Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model

Laser Desorption/Ablation Postionization Mass Spectrometry: Recent Progress in Bioanalytical Applications

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