scholarly journals Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Liting Huang ◽  
Zhiying Jiang ◽  
Ruichu Cai ◽  
Li Li ◽  
Qinqun Chen ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Data Visualization ◽  
Fetal Monitoring ◽  
Causal Relationships ◽  
Spearman Correlation ◽  
Causal Factors ◽  
Stepwise Selection ◽  
Measurement Models ◽  
Status Assessment ◽  
Forward Stepwise

Abstract Background Cardiotocography (CTG) interpretation plays a critical role in prenatal fetal monitoring. However, the interpretation of fetal status assessment using CTG is mainly confined to clinical research. To the best of our knowledge, there is no study on data analysis of CTG records to explore the causal relationships between the important CTG features and fetal status evaluation. Methods For analyses, 2126 cardiotocograms were automatically processed and the respective diagnostic features measured by the Sisporto program. In this paper, we aim to explore the causal relationships between the important CTG features and fetal status evaluation. First, we utilized data visualization and Spearman correlation analysis to explore the relationship among CTG features and their importance on fetal status assessment. Second, we proposed a forward-stepwise-selection association rule analysis (ARA) to supplement the fetal status assessment rules based on sparse pathological cases. Third, we established structural equation models (SEMs) to investigate the latent causal factors and their causal coefficients to fetal status assessment. Results Data visualization and the Spearman correlation analysis found that thirteen CTG features were relevant to the fetal state evaluation. The forward-stepwise-selection ARA further validated and complemented the CTG interpretation rules in the fetal monitoring guidelines. The measurement models validated the five latent variables, which were baseline category (BCat), variability category (VCat), acceleration category (ACat), deceleration category (DCat) and uterine contraction category (UCat) based on fetal monitoring knowledge and the above analyses. Furthermore, the interpretable models discovered the cause factors of fetal status assessment and their causal coefficients to fetal status assessment. For instance, VCat could predict BCat, and UCat could predict DCat as well. ACat, BCat and DCat directly affected fetal status assessment, where ACat was the important causal factor. Conclusions The analyses revealed the interpretation rules and discovered the causal factors and their causal coefficients for fetal status assessment. Moreover, the results are consistent with the computerized fetal monitoring and clinical knowledge. Our approaches are conducive to evidence-based medical research and realizing intelligent fetal monitoring.

Expression Levels of MicroRNA-125b in Serum Exosomes of Patients with Asthma of Different Severity and its Diagnostic Significance

2019 ◽  
Vol 20 (10) ◽  
pp. 781-784 ◽  
Author(s):  
Meizhen Zhao ◽  
Li Juanjuan ◽  
Fan Weijia ◽  
Xie Jing ◽  
Huang Qiuhua ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Roc Curve ◽  
Quantitative Polymerase Chain Reaction ◽  
Persistent Asthma ◽  
Asthma Severity ◽  
Control Group ◽  
Spearman Correlation ◽  
Diagnostic Efficacy ◽  
Expression Levels ◽  
Serum Exosomes

Background: This study aimed to investigate the expression levels of microRNA (miRNA)-125b in serum exosomes and its diagnostic efficacy for asthma severity. Methods: The study included 80 patients with untreated asthma and 80 healthy volunteers. The patients were divided into 4 groups according to disease severity: 20 with the intermittent state, 20 with the mildly persistent state, 20 with the moderately persistent state, and 20 with the severely persistent state. The expression levels of miRNA-125b in serum exosomes of each group were detected using a quantitative polymerase chain reaction and compared. The Spearman correlation analysis was used to study the correlation between the expression levels of miRNA-125b in serum exosomes and asthma severity. The diagnostic efficacy of the expression levels of miRNA-125b in exosomes for asthma severity was evaluated using the Receiver Operating Characteristic (ROC) curve. Results: The expression levels of miRNA-125b in serum exosomes of patients with intermittent, mildly persistent, moderately persistent, and severely persistent asthma were all higher than those in the healthy control group, with statistically significant differences. The expression levels of miRNA-125b were also statistically significantly different among patients in each group. The Spearman correlation analysis showed a positive correlation of the relative expression of miRNA-125b in serum exosomes with asthma severity. The area under the ROC curve of the diagnostic efficacy of miRNA-125b in serum exosomes for patients with intermittent, mildly, moderately, and severely persistent asthma was 0.7770, 0.8573, 0.9111, and 0.9995, respectively. Conclusion: The expression levels of miRNA-125b in serum exosomes had a high diagnostic efficacy and might serve as a noninvasive diagnostic marker for asthma severity.

scholarly journals Clinical profiles, outcomes and risk factors among type 2 diabetic inpatients with diabetic ketoacidosis and hyperglycemic hyperosmolar state: a hospital-based analysis over a 6-year period

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiao-yan Wu ◽  
Dun-min She ◽  
Fang Wang ◽  
Gang Guo ◽  
Ran Li ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Diabetic Ketoacidosis ◽  
Protective Factor ◽  
Diabetic Patients ◽  
Spearman Correlation ◽  
C Peptide ◽  
Arterial Blood ◽  
Hyperglycemic Hyperosmolar State ◽  
Type 2 Diabetic

Abstract Objective Diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS) are the two most common hyperglycemic emergencies (HEs) associated with diabetes mellitus. Individuals with HEs can present with combined features of DKA and HHS. The objective of this study is to assess the clinical characteristics, therapeutic outcomes, and associated predisposing factors of type 2 diabetic patients with isolated or combined HEs in China. Methods We performed a retrospective analysis of 158 patients with type 2 diabetes (T2DM), complicated with DKA, HHS, or DKA combined with HHS (DKA-HHS) in Shanghai Tongji Hospital, China from 2010 to 2015. Admission clinical features, therapeutic approaches and treatment outcomes of those patients were extracted and analyzed. Results Of the 158 patients with T2DM, 65 (41.1%) patients were DKA, 74 (46.8%) were HHS, and 19 (12.0%) were DKA-HHS. The most common precipitants were infections (111, 70.3%), newly diagnosed diabetes (28,17.7%) and non-compliance to medications (9, 5.7%). DKA patients were divided into mild, moderate and severe group, based on arterial blood gas. Spearman correlation analysis revealed that C-reaction protein (CRP) was positively correlated with severity of DKA, whereas age and fasting C peptide were inversely correlated with severity of DKA (P < 0.05). The mortality was 10.8% (17/158) in total and 21.6% (16/74) in the HHS group, 5.9% (1/17) in DKA-HHS. Spearman correlation analysis indicated that death in patients with HHS was positively correlated to effective plasma osmolality (EPO), renal function indicators and hepatic enzymes, while inversely associated with the continuous subcutaneous insulin infusion (CSII) therapy. Logistic regression analysis suggested that elevated blood urea nitrogen (BUN) on admission was an independent predisposing factor of mortality in HHS, while CSII might be a protective factor for patients with HHS. Furthermore, the receiver-operating characteristic (ROC) curve analysis indicated that BUN had the largest area under the ROC curves for predicting death in patients with HHS. Conclusions Our findings showed elevated CRP and decreased fasting C-peptide might serve as indicator for severe DKA. Elevated BUN might be an independent predictor of mortality in patients with HHS, whereas CSII might be a protective factor against death in HHS.

scholarly journals Association between Diabetes Knowledge and Self-Efficacy in Patients with Type 2 Diabetes Mellitus in China: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Tieying Qiu ◽  
Jin Huang ◽  
Weixing Wang
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Self Efficacy ◽  
Influence Factors ◽  
Educational Background ◽  
Chinese Patients ◽  
Diabetes Knowledge ◽  
Spearman Correlation ◽  
Cross Sectional ◽  
Randomized Sampling

Objective. This study aimed to explore the association between DM knowledge and self-efficacy in Chinese patients with T2DM. The influence factors for DM knowledge were explored, and evidence on interventions was provided to patients for information. Design. A cross-sectional survey was conducted in various hospitals in Hunan Province, China, from April 2017 to February 2019, by using multistage stratified randomized sampling. DM knowledge and self-efficacy were measured using the Audit of Diabetes Knowledge (ADKnowl) and the General Self-efficacy (GSE) Scale. The relationship between the ADKnowl and the GSE scores was analyzed using the Spearman correlation analysis. Differences in the ADKnowl and GES scores among groups with different sociodemographic characteristics were computed; significant variables and GES scores were input in the multiple stepwise linear regression model to predict the influencing factors of ADKnowl scores. Results. A total of 1,512 eligible patients with T2DM were included in this study, and their mean ADKnowl score was 59.04 ± 16.24. The top score of the eight dimensions in the ADKnowl scale was reducing the complication risk by 71.01%. The mean GSE score was 2.42 ± 0.59. The Spearman correlation analysis showed that the GSE score displayed a significantly positive correlation with DM knowledge at the ADKnowl scale (r = 0.172, P<0.001). The best fit multivariable linear regression analysis revealed eight variables that explained 37.6% of the variance of ADKnowl scores. They were diabetes-learning experience, educational background, complication, therapy, waist-to-hip ratio, diabetes duration, marital status, and GSE (R2 = 0.376, F = 5.971, P=0.015). Conclusions. In Chinese patients with T2DM, the self-efficacy in managing DM positively influenced DM knowledge. DM knowledge, as a protective factor, conversely improved the efficiency of self-management for T2DM. Some ignored influence factors in previous studies can be showed by investigating and analyzing from two scales. Health educators and promoters should help in developing DM knowledge and self-efficacy.

Approaches in Correlation Analysis and Application on Oil Field Data

2016 ◽  
Vol 841 ◽  
pp. 77-82 ◽  
Author(s):  
David Vališ ◽  
Libor Žák
Keyword(s):  
Correlation Analysis ◽  
Field Data ◽  
Combustion Engine ◽  
Correlation Coefficients ◽  
Oil Field ◽  
Diesel Combustion ◽  
Spearman Correlation ◽  
Output Data ◽  
Input And Output

The paper deals with selected approaches which unite several correlation analysis principles. Field data very often has various forms and contents. The comparison of different approaches will help to determine more precisely which correlation analysis is better for assessing input and output data. In this paper we introduce several correlation principles which can help to select the most suitable correlation approach. We present a traditional correlation analysis and compare it with Pearson and Spearman correlation coefficients. The value of our article lies in comparing several different approaches of the correlation analysis in which the oil field data from diesel combustion engine are used

scholarly journals Employability of Nursing Care Graduates

Organizacija ◽  
2015 ◽  
Vol 48 (4) ◽  
pp. 287-297 ◽  
Author(s):  
Barbara Donik ◽  
Majda Pajnkihar ◽  
Mojca Bernik
Keyword(s):  
Nursing Students ◽  
Correlation Analysis ◽  
Nursing Care ◽  
Education Institution ◽  
Point Of View ◽  
The Self ◽  
Rank Test ◽  
Spearman Correlation ◽  
Self Evaluation ◽  
Average Grade

Abstract Starting points: In Slovenia, the higher education institution for nursing started exploring employability opportunities in nursing care in connection with the achievement of competencies from students’ and employers’ point of view. This article highlights the importance of monitoring nursing graduates’ employability. Its aim is to examine the employability of nursing care graduates based on the self-evaluation of competences obtained during the last study year and to establish a link between the self-evaluation of competences and students’ academic performance. Methodology: A questionnaire was distributed to full and part time nursing care students attending the last study year at five different healthcare/health sciences faculties in Slovenia and to employers (healthcare institutions) where the majority of nursing care graduates finds employment. We examined the level of competence achieved by nursing students and the level of competences required by employers. The sample included a total of 485 students. 194 surveys were returned, which represent a 40 percent response. We used Kolmogorov-Smirnov test for each individual joined competence. Further, we compared employability skills of students and employers with Mann-Whitney and Wilcox rank-sum test. For correlation between two variables we used Spearman correlation analysis. Results: The Mann-Whitney and Wilkson Rank test show that employers generally assess competences with a higher average grade in comparison to students and these differences are statistically significant. By applying the Spearman correlation analysis, we established that a statistically significant weak correlation may be observed between the “average grade” and “competences” variables. Discussion and conclusion: Our findings show that a continuous monitoring of general and subject-specific competences gained by students, along with a periodic verification of competences demanded by employers, is necessary. It is very important to monitor the requirements of the labour market in terms of ongoing communication with employers who can best estimate special knowledge needs.

scholarly journals Middle range theory for the nursing diagnosis Excess Fluid Volume in pregnant women

2020 ◽  
Vol 73 (suppl 4) ◽  
Author(s):  
Nathaly Bianka Moraes Fróes ◽  
Marcos Venícios de Oliveira Lopes ◽  
Cleide Maria Pontes ◽  
Gabriele Lima Ferreira ◽  
Priscila de Souza Aquino
Keyword(s):  
Pregnant Women ◽  
Fluid Volume ◽  
Causal Relationships ◽  
Middle Range Theory ◽  
Clinical Indicators ◽  
Causal Factors ◽  
Pathological Conditions ◽  
Nursing Diagnosis ◽  
Middle Range ◽  
Range Theory

ABSTRACT Objective: To stablish a middle range theory for the understanding of the causal mechanisms and clinical consequentes of the nursing diagnosis Excess Fluid Volume (00026) among pregnant women. Method: The Middle Range Theory was constructed in five stages: defining of construction approach, establishing main concepts, elaborating propositions, developing a pictorial diagram, and establishing the causal relationships and evidence for practice of the Middle Range Theory. Results: We identified 14 clinical indicators and 6 causal factors of Excess Fluid Volume. A pictorial diagram was developed and relationships between Excess Fluid Volume elements were established with 6 propositions for them. Conclusion: The Middle Range Theory included both physiological and pathological conditions to explain Excess Fluid Volume. This Middle Range Theory might help in the better understanding of interactions between causal factors and clinical indicators of Excess Fluid Volume.

scholarly journals Untargeted Metabolomics Analysis of Eggplant (Solanum melongena L.) Fruit and Its Correlation to Fruit Morphologies

Metabolites ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 49 ◽  
Author(s):  
Abu Hanifah ◽  
Awang Maharijaya ◽  
Sastia P. Putri ◽  
Walter A. Laviña ◽  
Sobir
Keyword(s):  
Correlation Analysis ◽  
Solanum Melongena ◽  
Nutrient Content ◽  
Fruit Shape ◽  
Untargeted Metabolomics ◽  
Spearman Correlation ◽  
Fruit Morphology ◽  
Ms Analysis ◽  
The World ◽  
Metabolomics Analysis

Eggplant is one of the most widely cultivated vegetables in the world and has high biodiversity in terms of fruit shape, size, and color. Therefore, fruit morphology and nutrient content become important considerations for both consumers and breeders who develop new eggplant-based products. To gain insight on the diversity of eggplant metabolites, twenty-one eggplant accessions were analyzed by untargeted metabolomics using GC-MS and LC-MS. The dataset of eggplant fruit morphologies, and metabolites specific to different eggplant fruit accessions were used for correlation analysis. Untargeted metabolomics analysis using LC-MS and GC-MS was able to detect 136 and 207 peaks, respectively. Fifty-one (51) metabolites from the LC-MS analysis and 207 metabolites from the GC-MS analysis were putatively identified, which included alkaloids, terpenes, terpenoids, fatty acids, and flavonoids. Spearman correlation analysis revealed that 14 fruit morphologies were correlated with several metabolites. This information will be very useful for the development of strategies for eggplant breeding.

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