scholarly journals 249. A metabolomic study of patients with A. baumannii bacteremia

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S123-S124
Author(s):  
Hsin-Yun Sun ◽  
Aristine Cheng ◽  
Yu-Chung Chuang ◽  
San-Yuan Wang ◽  
Ching-Hua Kuo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Patient Survival ◽  
Statistical Significance ◽  
Sebacic Acid ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Healthcare Associated Infection ◽  
Box Plots ◽  
Blood Specimens

Abstract Background A. baumannii has become an emerging pathogen of healthcare-associated infection with significant mortality. The present study aimed to identify specific biomarkers to predict patient survival of A. baumannii bacteremia by metabolomics. Methods From July 2011 to November 2014, a total of 60 patients with A. baumannii bacteremia and available blood samples within 4 days of the onset (Day 0) of bacteremia were included for analysis. They were categorized into two groups depending on their survival at Day 14. Metabolomic profiles of the blood specimens collected at Day 0–4 of survival and death groups were compared to identify specific biomarkers to predict patient survival at Day 14. The patients were divided in the training (n=40) and validation (n=20) sets, and the logistic regression-based receiver-operation characteristic (ROC) was used to find the potential markers. Results The Day 14 mortality of the included patients was 20.0% (12/60). The partial least square-discriminate analysis (PLS-DA) scores plot separated the survival and death groups (Figure 1). Thirteen metabolites, L-Isoleucine, Ofloxacin, P-Hydroxybenzaldehyde, Hippurate, Indolelactic acid, Kynurenate, N-Acetyl-L-alanine, Sebacic acid, N-Acetylaspartylglutamic acid, Hematoporphyrin IX, and Urocanic acid reached the statistical significance (p < 0.05) and the accuracies of training and validation sets were greater than 0.8 and 0.6, respectively (Figure 2 and Table 1). Moreover, the Wilcoxon rank sum test results of those metabolites reached the statistical significance (Table 1). Future 1: (A) PLS-DA scores plot for death and survival groups. (B) The loading plot of PLS-DA and the distribution of the thirty important metabolites with VIP values of >1.5. Figure 2. Box plots showing significant changes of the 13 potential markers in the level of metabolites among the death and survival groups. Table 2: Identified metabolites, p value, VIP, and the result of logistic regression. Conclusion Metabolomics had the potential to identify metabolites to predict survival in patients with A. baumannii bacteremia. Disclosures All Authors: No reported disclosures

scholarly journals QSAR studies for the acute toxicity of nitrobenzenes to the Tetrahymena pyriformis

2014 ◽  
Vol 79 (9) ◽  
pp. 1111-1125 ◽  
Author(s):  
Dan-Dan Wang ◽  
Lin-Lin Feng ◽  
Guang-Yu He ◽  
Hai-Qun Chen
Keyword(s):  
Statistical Significance ◽  
External Validation ◽  
Tetrahymena Pyriformis ◽  
Quantitative Structure Activity Relationship ◽  
Partial Least Square ◽  
Molecular Structures ◽  
Least Square ◽  
Qsar Studies ◽  
Qsar Models ◽  
Leave One Out

Quantitative structure-activity relationship (QSAR) models play a key role in finding the relationship between molecular structures and the toxicity of nitrobenzenes to Tetrahymena pyriformis. In this work, genetic algorithm, along with partial least square (GA-PLS) was employed to select optimal subset of descriptors that have significant contribution to the toxicity of nitrobenzenes to Tetrahymena pyriformis. A set of five descriptors, namely G2, HOMT, G(Cl?Cl), Mor03v and MAXDP, was used for the prediction of the toxicity of 45 nitrobenzene derivatives and then were used to build the model by multiple linear regression (MLR) method. It turned out that the built model, whose stability was confirmed using the leave-one-out validation and external validation test, showed high statistical significance (R2=0.963, Q2LOO=0.944). Moreover, Y-scrambling test indicated there was no chance correlation in this model.

scholarly journals Management Outcome and Associated Factors among Intestinal Obstruction Patients Treated Surgically, Eastern Ethiopia

2019 ◽  
Author(s):  
Tesfaye Derseh ◽  
Biniam Minuye ◽  
Mohammed Yusouf ◽  
Tariku Dingeta
Keyword(s):  
Logistic Regression ◽  
Intestinal Obstruction ◽  
General Hospital ◽  
Associated Factors ◽  
Statistical Significance ◽  
Unfavorable Outcome ◽  
High Rate ◽  
P Value ◽  
Hospital Data ◽  
Eastern Ethiopia

Abstract Background Intestinal obstruction is a global problem consuming much in terms of surgical services. It is a common surgical emergency and a significant health problem in Ethiopia. Several factors contribute to poor management outcomes in the case of intestinal obstruction. Post-operative mortality rate ranges from 3% to 30%. Despite this high rate of mortality, there is no recently published literature that has explored Intestinal Obstruction and its associated factors at Chiro General Hospital. Methods Institution based cross-sectional study was conducted among 254 of patients admitted with Intestinal obstruction who treated surgically at Chiro General Hospital. Data were collected using checklists from individual patient cards by trained three BSc nurses from 13 to 18 July 2018 and completeness of data collection was checked every day by the principal Investigator. Data were entered to Epi-Data version 3.1 computer software and exported to SPSS statistical software version 22 for analysis. Bivariable binary logistic regression was used to saw the association between each independent variable and dependent variable. All variables with P-value < 0.2 during bi-variable analyses were considered for multivariable logistic regression analyses. Odds ratio along with 95%CI were estimated to measure the strength of the association. Level of statistical significance was declared at p value less or equal to 0.05. Results In this study the magnitude of unfavorable outcome of Intestinal Obstruction was 21.3% (95% CI: (16.5, 26.4). Age group of 55 years or above [AOR=2.9, 95%CI: (1.03, 8.4)], duration of illness of 24hrs or above [AOR=3.1, 95%CI: (1.03, 9.4)], pre-operative diagnosis of gangrenous SBO & gangrenous LBO [(AOR=3.6, 95%CI: (1.3, 9.8)), (AOR=4.2, 95%CI: (1.3, 13.7))], respectively were significantly associated with unfavorable outcome. Conclusions The magnitude of unfavourable management outcome of patients with Intestinal obstruction who treated surgically in this study was high. Old age, late presentation of illness and gangrenous bowel obstruction were significantly associated with unfavourable management outcome. So that early detection prompt management of patients with Intestinal obstruction reduce the occurrence of unfavourable outcome of patients.

scholarly journals ANALISIS KUALITAS PELAYANAN INTERNET INDIHOME PADA PT. X DENGAN PENDEKATAN PART LEAST SQUARE

2019 ◽  
Vol 20 (1) ◽  
pp. 77
Author(s):  
Kukuh Winarso ◽  
Moh. Jufriyanto
Keyword(s):  
Hypothesis Test ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Test Results ◽  
Multivariate Statistical ◽  
Internet Service ◽  
Analysis Techniques ◽  
Inner Model

PT. X Provides paid internet services known as Indihome. The problem that occurs in Indihome Internet service is that there are 42.36% complaints from consumers to the service process provided by PT. X and there is a 7.46% complaint about the amount of the bill. The purpose of this study is to model and know what variables affect the quality of the Indihome Internet service. The method used is Partial Least Square (PLS). Partial Least Square (PLS) is one of the multivariate statistical analysis techniques that can handle multiple response variables and an explanatory variable. The variables used are tangible, empathy, assurance, reliability and responsiveness. The results of the research are the increase of R square value after the implementation of the A5 indicator that does not meet the model PLS. All five variables affect the quality of indihome Internet service is 76,1%. Based on the hypothesis test results on the outer model It is said that the variable indicator is valid with p-value = 0 < 0,05. In testing the inner model obtained that the variable tangible and responsiveness has no significant effect on the quality of Internet service Indihome, while the variable empathy, assurance, reliability significantly affect the quality of service Indihome Internet.

scholarly journals Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Guoxue Zhu ◽  
Yi Wang ◽  
Wang Wang ◽  
Fang Shang ◽  
Bin Pei ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Inositol Phosphate ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Signal Pathways ◽  
Diagnostic Biomarkers ◽  
Inositol Phosphate Metabolism ◽  
Malignant Polyps

BackgroundColorectal cancer (CRC) is one of the most common malignant gastrointestinal cancers in the world with a 5-year survival rate of approximately 68%. Although researchers accumulated many scientific studies, its pathogenesis remains unclear yet. Detecting and removing these malignant polyps promptly is the most effective method in CRC prevention. Therefore, the analysis and disposal of malignant polyps is conducive to preventing CRC.MethodsIn the study, metabolic profiling as well as diagnostic biomarkers for CRC was investigated using untargeted GC-MS-based metabolomics methods to explore the intervention approaches. In order to better characterize the variations of tissue and serum metabolic profiles, orthogonal partial least-square discriminant analysis was carried out to further identify significant features. The key differences in tR–m/z pairs were screened by the S-plot and VIP value from OPLS-DA. Identified potential biomarkers were leading in the KEGG in finding interactions, which show the relationships among these signal pathways.ResultsFinally, 17 tissue and 13 serum candidate ions were selected based on their corresponding retention time, p-value, m/z, and VIP value. Simultaneously, the most influential pathways contributing to CRC were inositol phosphate metabolism, primary bile acid biosynthesis, phosphatidylinositol signaling system, and linoleic acid metabolism.ConclusionsThe preliminary results suggest that the GC-MS-based method coupled with the pattern recognition method and understanding these cancer-specific alterations could make it possible to detect CRC early and aid in the development of additional treatments for the disease, leading to improvements in CRC patients’ quality of life.

scholarly journals The Effect of Training Education, Motivation and Knowledge Sharing on Employee Performance

2021 ◽  
pp. 26-35
Author(s):  
C. Catur Widayati ◽  
Agus Arijanto ◽  
Purnamawati Helen Widjaja ◽  
Magito Magito ◽  
Wahyu Anggraini
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Employee Performance ◽  
Education And Training ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Training Motivation ◽  
And Training

This study aims to determine the effect of education and training, motivation, and knowledge sharing on employee performance at PT Telkom Akses BSD. This study was conducted on 127 respondents using a quantitative descriptive approach with the non-probability sampling method of the Slovin formula. The data analysis used is the Component or Variance Based Structural Equation Model and processed with the Partial Least Square (Smart-PLS) version 3.0 PLS program. The results of this study indicate that Education and Training, Motivation and Knowledge Sharing have a simultaneous and partial effect on employee performance at PT Telkom Akses BSD because it has a T-Statistic value>1.96 and a P-value <0.05. Knowledge Sharing has the greatest influence with the amount of influence of 0.372

scholarly journals PENGARUH KUALITAS LAYANAN (SERVICE QUALITY) TERHADAP LOYALITAS MELALUI KEPUASAN PADA MAHASISWA UNIVERSITAS NU SURABAYA

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Rusdyana Intan Verriana ◽  
Mohamad Yusak Anshori
Keyword(s):  
Service Quality ◽  
Quantitative Method ◽  
Positive Impact ◽  
Free Variable ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Research Use ◽  
Path Coefficient ◽  
Nahdlatul Ulama

The aim of this research to examine are there impact of service quality to loyalty with satisfaction as intervening variable to students in Nahdlatul Ulama University of Surabaya. Population in this research are students in Nahdlatul Ulama University of Surabaya total of the sample are 368 from 4.536 students. This research are quantitative method with spread 368 questionnaires. The technique analyze of this research use SEM – PLS (partial least square) software. Free variable of this research is service quality (X), intervening variable is satisfaction (Z) and bunch variable is student’s loyalty (Y). The result of this research shown that service quality (X) have positive impact and significant to students loyalty (Y) have positive impact and significant with path coefficient 0,67 with p – value < 0,001 (significant on 1%). While service quality (X) have positive impact and significant to students loyalty through satisfaction variable (Z) shown positive impact and significant with path coefficient 0,47 with p - value < 0,001 ( significant on 1%).

scholarly journals Understanding critically ill sepsis patients with normal serum lactate levels: results from U.S. and European ICU cohorts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christopher M. Sauer ◽  
Josep Gómez ◽  
Manuel Ruiz Botella ◽  
David R. Ziehr ◽  
William M. Oldham ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Critically Ill ◽  
Serum Lactate ◽  
High Serum ◽  
Normal Serum ◽  
Partial Least Square ◽  
Least Square ◽  
Data Set ◽  
Severity Scores ◽  
Lactate Levels

AbstractWhile serum lactate level is a predictor of poor clinical outcomes among critically ill patients with sepsis, many have normal serum lactate. A better understanding of this discordance may help differentiate sepsis phenotypes and offer clues to sepsis pathophysiology. Three intensive care unit datasets were utilized. Adult sepsis patients in the highest quartile of illness severity scores were identified. Logistic regression, random forests, and partial least square models were built for each data set. Features differentiating patients with normal/high serum lactate on day 1 were reported. To exclude that differences between the groups were due to potential confounding by pre-resuscitation hyperlactatemia, the analyses were repeated for day 2. Of 4861 patients included, 47% had normal lactate levels. Patients with normal serum lactate levels had lower 28-day mortality rates than those with high lactate levels (17% versus 40%) despite comparable physiologic phenotypes. While performance varied between datasets, logistic regression consistently performed best (area under the receiver operator curve 87–99%). The variables most strongly associated with normal serum lactate were serum bicarbonate, chloride, and pulmonary disease, while serum sodium, AST and liver disease were associated with high serum lactate. Future studies should confirm these findings and establish the underlying pathophysiological mechanisms, thus disentangling association and causation.

scholarly journals FINANCIAL PERFORMANCE IMPLICATIONS ON BUM DESA INVESTMENT DIVERSIFICATION

2021 ◽  
Vol 9 (06) ◽  
pp. 837-845
Author(s):  
Udin Suadma ◽  
◽  
Sutjipto a ◽  
Suratno b ◽  
Mattjik c ◽  
...  
Keyword(s):  
Financial Performance ◽  
Structural Equation ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
P Value ◽  
Working Capital ◽  
Using Data ◽  
The Many ◽  
The Village

BUM Desa in Banten Province has not been maximized in improving the economy of the Village community as shown by the many inactive BUM Desa. BUM Desa has not been able to create business diversification that comes from financial performance in this study, namely Return on Investment (ROI). A total of 80 BUM Desa were studied as a result of purposive sampling from a population of 688 BUM Desa in Banten Province. The criteria for selecting samples were (1) registered BUM Desa (2) BUM Desa is active, and (3) active Village BUM that has capital ≥ Rp. 30,000,000. This study uses explanatory and descriptive methods using data analysis tools Partial Least Square Structural Equation Model (PLS-SEM). The results showed that financial performance had a positive effect on the Village-Owned Enterprise Diversification stage with t-value = 4.527, p-value = 0.000 <0.05, meaning that Ha was not enough data to accept Ho and data supporting Ho was rejected. Based on the description of the results and the study shows that good financial performance means being able to generate profits from sales and total assets, as well as capital. Meanwhile, diversification can be created if the turnover of working capital occurs quickly. The faster the working capital rotates, the better the BUM Desas financial performance will be. Therefore, BUM Desa has high financial performance can diversify investment.

scholarly journals Dampak Layanan Transportasi Online Terhadap Kesejahteraan Perekonomian Masyarakat Kota Mojokerto Melalui Kesempatan Kerja

2021 ◽  
Vol 9 (1) ◽  
pp. 101-117
Author(s):  
Khasbulloh Huda ◽  
Zenita Afifah Fitriyani ◽  
Rachmad Sholeh ◽  
Mohammad Johan Effendi
Keyword(s):  
Random Sampling ◽  
Partial Least Square ◽  
Least Square ◽  
P Value

Penelitian ini bertujuan untuk mengetahui dampak layanan transportasi online terhadap kesejahteraan perekonomian masyarakat Kota Mojokerto melalui kesempatan kerja. Penelitian ini dilakukan dengan pendekatan kuantitatif yang menggunakan metode survey. serta menggunakan metode pengambilan data random sampling. Sedangkan pengukuran menggunakan skala likert. Adapun metode pengumpulan data menggunakan kuesioner. Metode analisis data dalam penelitian ini menggunakan PLS (Partial Least Square) dengam program smartPLS 3.0. Hasil penelitian menunjukkan bahwa variabel layanan transportasi online memiliki pengaruh langsung terhadap kesempatan kerja pada masyarakat Kota Mojokerto dengan perolehan T stastistik sebesar 9,007 (P value = 0,000). Layanan transportasi online memiliki pengaruh langsung terhadap kesejahteraan perekonomian masyarakat Kota Mojokerto dengan T stastistik sebesar 10,746 (P value = 0,000). Kesempatan kerja memiliki pengaruh terhadap kesejahteraan perekonomian masyarakat kota Mojokerto dengan T stastistik sebesar 11,471 ( P value = 0,000). Layanan transportasi online memiliki pengaruh terhadap kesejahteraan perekonomian masyarakat Kota Mojokerto melalui kesempatan kerja dengan T stastistik sebesar 7,193 (P value = 0,000).

scholarly journals ANALISIS DAMPAK REMUNERASI DAN LINGKUNGAN KERJA TERHADAP KINERJA DOKTER SPESIALIS DENGAN MOTIVASI KERJA SEBAGAI VARIABEL MEDIASI

2019 ◽  
Vol 8 (1) ◽  
pp. 48
Author(s):  
Hartati Hartati ◽  
Rima Semiarty ◽  
Verinita Verinita
Keyword(s):  
Work Motivation ◽  
Partial Least Square ◽  
Least Square ◽  
Working Environment ◽  
P Value ◽  
Hospital Organization ◽  
Significant Difference ◽  
And Performance ◽  
The Impact ◽  
Motivation To Work

Performance specialists is something that is very important in order to achieve the objectives Hospital Organization for specialists is the frontline in the service of clients in the hospital so important to know the factors that influence it. The purpose of this study is to describe the impact / influence of the system of remuneration and working environment on the performance and motivation as an intervening or mediating variable in the installation department of obstetrics and child XYZ Hospital Padang. This study uses a quantitative approach to research explanatori. Sampling in the Census, ie as many as 36 people obstetricians and children. Data analysis technique used in this study using the approach Partial Least Square (PLS). The results showed that there was no significant effect between remuneration and the performance of the T statistics amounted to 0.549 (less than 1.96) and the p value 0.002 (greater than 0.05) so the hypothesis is rejected. No significant difference between the work environment and performance statisticsT is smaller than TTable and p value is greater than alpha so the hypothesis is rejected. No significant difference between the motivation to work on performance because the hypothesis is rejected. A significant difference between the remuneration and motivation to work as much as 2.8%. No significant difference between the working environment on work motivation for the hypothesis is rejected. While remuneration on performance mediated by labor motivation does not have a significant effect.

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