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Early Childhood Caries Is Causally Attributed to Developing Psychomotor Deficiency in Pre-School Children: The Resultant Covariate and Confounder Analyses in a Longitudinal Cohort Study
https://ir.cnu.edu.tw/handle/310902800/34596
title: Early Childhood Caries Is Causally Attributed to Developing Psychomotor Deficiency in Pre-School Children: The Resultant Covariate and Confounder Analyses in a Longitudinal Cohort Study abstract: Background: Causality has recently been suggested to associate early childhood caries with psychomotor deficiency in preschoolers, where their causal interactions via other risk determinants remain unclear. Methods: To analyze such causality, we randomly recruited 123 three-to-six-year-old children in a three-year longitudinal study, where the caries/dmft measures, age/gender, BMI, amended comprehensive scales for psychomotor development (CCDI-aspects), parental education/vocation, and diet were collected for assessment of their inter-relationships. Subsequently, t-tests, multiple/linear-regressions, and R-2-analyses were utilized to compare the differences of variables between age/gender, BMI, and dmft vs. relationships among all variables and CCDI-aspects. Results: In the regression modeling, there were significant differences between gender vs. age (p < 0.05; not BMI) regarding established associations between caries and CCDI manifests for psychomotor deficiency. As for diet vs. socio-economic status, there were significant differences when caries/dmft were at lower- vs. higher-scales (<4 and 6-10), associated with expressive language and comprehension-concept (p similar to 0.0214-0.0417) vs. gross-motor and self-help (p similar to 0.0134-0.0486), respectively. Moreover, diet vs. socio-economic-status contributed significantly different CCDI-spectra via expressive language and comprehension-concept (adjusted-R-2 similar to 0.0220-0.2463) vs. gross-motor and self-help (adjusted-R-2 similar to 0.0645-0.0994), respectively, when the caries detected were at lower- vs. higher-scales (<4 and 6-10), in contrast to those depicted without both SES diet variables (adjusted-R-2 similar to 0.0641-0.0849). Conclusion: These new findings confirm that early childhood caries is causally attributed to developing psychomotor deficiency in preschoolers, whereas biological gender/age, not BMI, may act as viable confounders during interactions, in contrast to diet and socio-economic status, via differential low-high scales of caries activity with significant interference, respectively. Collectively, ECC-psychomotor interactions may underpin some distinct biologic vs. socio-mental/psyche attributes towards different determinants for vulnerable children.
<br>Using the IPcase Index with Inflection Points and the Corresponding Case Numbers to Identify the Impact Hit by COVID-19 in China: An Observation Study
https://ir.cnu.edu.tw/handle/310902800/34483
title: Using the IPcase Index with Inflection Points and the Corresponding Case Numbers to Identify the Impact Hit by COVID-19 in China: An Observation Study abstract: Coronavirus disease 2019 (COVID-19) occurred in Wuhan and rapidly spread around the world. Assessing the impact of COVID-19 is the first and foremost concern. The inflection point (IP) and the corresponding cumulative number of infected cases (CNICs) are the two viewpoints that should be jointly considered to differentiate the impact of struggling to fight against COVID-19 (SACOVID). The CNIC data were downloaded from the GitHub website on 23 November 2020. The item response theory model (IRT) was proposed to draw the ogive curve for every province/metropolitan city/area in China. The ipcase-index was determined by multiplying the IP days with the corresponding CNICs. The IRT model was parameterized, and the IP days were determined using the absolute advantage coefficient (AAC). The difference in SACOVID was compared using a forest plot. In the observation study, the top three regions hit severely by COVID-19 were Hong Kong, Shanghai, and Hubei, with IPcase indices of 1744, 723, and 698, respectively, and the top three areas with the most aberrant patterns were Yunnan, Sichuan, and Tianjin, with IP days of 5, 51, and 119, respectively. The difference in IP days was determined (chi 2 = 5065666, df = 32, p < 0.001) among areas in China. The IRT model with the AAC is recommended to determine the IP days during the COVID-19 pandemic.
<br>An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission Development and validation study
https://ir.cnu.edu.tw/handle/310902800/34393
title: An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission Development and validation study abstract: Background: In a pandemic situation (e.g., COVID-19), the most important issue is to select patients at risk of high mortality at an early stage and to provide appropriate treatments. However, a few studies applied the model to predict in-hospital mortality using routine blood samples at the time of hospital admission. This study aimed to develop an app, name predict the mortality of COVID-19 patients (PMCP) app, to predict the mortality of COVID-19 patients at hospital-admission time. Methods: We downloaded patient records from 2 studies, including 361 COVID-19 patients in Wuhan, China, and 106 COVID-19 patients in 3 Korean medical institutions. A total of 30 feature variables were retrieved, consisting of 28 blood biomarkers and 2 demographic variables (i.e., age and gender) of patients. Two models, namely, artificial neural network (ANN) and convolutional neural network (CNN), were compared with each other across 2 scenarios using 1. raw laboratory versus normalized data and 2. training vs testing datasets (n = 361 and n = 106/361 approximately equal to 30%) to verify the model performance (e.g., sensitivity [SENS], specificity [SPEC], and area under the receiver operating characteristic curve [AUC]). An app for predicting the mortality of COVID-19 patients was developed using the model's estimated parameters for the prediction and classification of PMCP at an earlier stage. Feature variables and prediction results were visualized using the forest plot and category probability curves shown on Google Maps. Results: We observed that 1. the normalized dataset gains a relatively higher AUC(>0.9) when compared to that(<0.9) in the raw-laboratory dataset based on training data, 2. the normalized dataset in ANN yielded a high AUC of 0.96 that that(=0.91) in CNN based on testing data, and 3. a ready and available app, where anyone can access the model to predict mortality, for PMCP was developed in this study. Conclusions: Our new PMCP app with ANN model accurately predicts the mortality probability for COVID-19 patients. It is publicly available and aims to help health care providers fight COVID-19 and improve patients' classifications against treatment risk.
<br>Socio-Economic Status May Associate Different Risk(s) with Early Childhood Caries (ECC) That Can Cause the Development of Psychomotor Deficiency in Preschool Children Aged 3-6 Years Old: The Results of Preliminary Analysis from a Cohort Study
https://ir.cnu.edu.tw/handle/310902800/34372
title: Socio-Economic Status May Associate Different Risk(s) with Early Childhood Caries (ECC) That Can Cause the Development of Psychomotor Deficiency in Preschool Children Aged 3-6 Years Old: The Results of Preliminary Analysis from a Cohort Study abstract: Background: We have recently shown that there is a positive correlation between severe caries and developing psychomotor deficiency in preschool children. To fully re-assess such a relationship, we embarked on a 3-year longitudinal follow-up study of kindergarteners, where we aimed to: (i) confirm whether early childhood caries is causally related to the development of psychomotor deficiency as proposed, and (ii) address any significant role or contribution of socio-economic status associated with caries-psychomotor interactions in the preschooler family cohorts studied, over time. Methods: A longitudinal study was designed where the total sum of 159 kindergarteners aged 3-6 from the central and southern regions of Taiwan were randomly selected and recruited for clinical examination of caries, together with questionnaires for personal, demographic and dietary information, socio-economic status, and the children's psychomotor development scales which were collected and analyzed over time. Student's t test, chi-squared test, correlation coefficients, and multiple linear regression analysis with R-2 determinants were employed to assess any attributable differences (of 0 similar to 1) between SES vs. psychomotor manifests and caries measured among all variables computed. Results: The results of our preliminary analyses show that: (i) there was likely a causal relationship between caries activities and aspects of general development scale via the Chinese Child Development Inventory over time (4.01 +/- 3.47 vs. 5.88 +/- 2.58, respectively) in the 3-6-year-old preschoolers, and (ii) there was significantly more attributable influence (via higher R-squared values) from SES and psychomotor manifests than that of caries and the Chinese Child Development Inventory counterparts, as detected over time. Conclusion: Collectively, the resulting analyses support our previous findings and confirm that there is likely a causal relationship between severe caries and psychomotor deficiency in growing preschoolers; the resulting analyses revealed that such causally related interactions may be attributably explainable by a content-reliant association via socio-economic status analyzed in the kindergartener family cohorts studied. Thus, the socio-economic status or its constituents/factors will have a much broader influence not only associated with developing early childhood caries (a biologic trait), but also for psychomotor deficiency (a social trait) in vulnerable children at risk.
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