Nevin Manimala

Comp Clin Path. 2022 Feb 28:1-4. doi: 10.1007/s00580-022-03334-4. Online ahead of print.

ABSTRACT

Lupus is an autoimmune disease that has various manifestations in various organs. One of the manifestations of lupus is lupus nephritis (LN), which often causes kidney failure and death. Cytokines play an essential role in the pathogenesis of LN and might be helpful for LN biomarkers. This study aimed to evaluate urine TNF-like weak inducer of apoptosis (TWEAK) for detecting LN since this is not an invasive procedure and is more cost-effective. The gold standard procedure for diagnosing LN needs a biopsy of the kidney. However, the procedure is invasive, high cost, and takes time. Thus, a biomarker from urine is needed for early diagnosis of LN. This research conducted was cross-sectional. The total participants were 57, consisting of 29 lupus nephritis and 28 lupus without nephritis. TWEAK levels were determined by ELISA method; urine protein, urine erythrocyte, and leukocyte were examined by a urine autoanalyzer. Statistical analysis using Mann-Whitney, Spearman correlation, Kruskal-Wallis, ROC curve analysis, and a 2 × 2 contingency table. This study showed a significant difference in TWEAK levels between lupus nephritis and lupus without nephritis (p < 0.05), but no significant difference between TWEAK level and renal domain scores of SLEDAI. There were significant correlations between TWEAK level and urine erythrocyte and urine protein, but there was no significant correlation with urine leukocytes. The sensitivity and specificity of TWEAK for determining LN were 72.4% and 72.5%, respectively, with AUC 0.77. TWEAK had a good diagnostic test for detecting lupus nephritis and substantially correlated with urine erythrocyte and urine protein.

PMID:35250424 | PMC:PMC8884517 | DOI:10.1007/s00580-022-03334-4

Bull Earthq Eng. 2022;20(3):1519-1565. doi: 10.1007/s10518-021-01303-w. Epub 2022 Jan 10.

ABSTRACT

The creation of building exposure models for seismic risk assessment is frequently challenging due to the lack of availability of detailed information on building structures. Different strategies have been developed in recent years to overcome this, including the use of census data, remote sensing imagery and volunteered graphic information (VGI). This paper presents the development of a building-by-building exposure model based exclusively on openly available datasets, including both VGI and census statistics, which are defined at different levels of spatial resolution and for different moments in time. The initial model stemming purely from building-level data is enriched with statistics aggregated at the neighbourhood and city level by means of a Monte Carlo simulation that enables the generation of full realisations of damage estimates when using the exposure model in the context of an earthquake scenario calculation. Though applicable to any other region of interest where analogous datasets are available, the workflow and approach followed are explained by focusing on the case of the German city of Cologne, for which a scenario earthquake is defined and the potential damage is calculated. The resulting exposure model and damage estimates are presented, and it is shown that the latter are broadly consistent with damage data from the 1978 Albstadt earthquake, notwithstanding the differences in the scenario. Through this real-world application we demonstrate the potential of VGI and open data to be used for exposure modelling for natural risk assessment, when combined with suitable knowledge on building fragility and accounting for the inherent uncertainties.

PMID:35250417 | PMC:PMC8887924 | DOI:10.1007/s10518-021-01303-w

Rev Econ Househ. 2022 Feb 25:1-48. doi: 10.1007/s11150-022-09601-1. Online ahead of print.

ABSTRACT

Using data on full-time wage and salary workers from the 2017-2018 American Time Use Survey Leave and Job Flexibilities Module, we estimate hourly wage differentials for teleworkers and compare how workers allocate their time over the day when they work from home rather than the office. We find that some teleworkers earn a wage premium, but it varies by gender, parental status, and teleworking intensity. Fathers who telework earn more than fathers in office-based jobs, regardless of teleworking intensity. Women without children who telework occasionally earn more than their office counterparts. In industries and occupations where telework is more prevalent, mothers who work from home most days of the week pay a wage penalty compared to mothers in office-based jobs. Using time diaries, we find differences in work patterns and hours across worker groups that could drive these teleworker wage differentials. Most teleworkers work less on home days; however, those who earn wage premiums are working longer hours on weekdays, regardless of their work location. When teleworking, mothers experience more interruptions in their workdays than other workers, which could have negative effects on their productivity. We also find that teleworkers spend less time on commuting and grooming activities but more time on leisure activities and with family on work-at-home days than on office days, and female teleworkers spend more time sleeping and on household production activities.

PMID:35250416 | PMC:PMC8879172 | DOI:10.1007/s11150-022-09601-1

Pathol Oncol Res. 2022 Feb 18;27:1609966. doi: 10.3389/pore.2021.1609966. eCollection 2021.

ABSTRACT

Objective: Although polymorphisms of adiponectin gene (ADIPOQ) in obesity-related conditions have been the target of research efforts, little is known about this genetic marker in uterine leiomyomas. The aim of this pilot study was to analyze the frequencies of alleles and genotypes of Single Nucleotide Polymorphism ADIPOQ (NM_004797.4):c.214+62G>T (rs1501299) and to correlate it with the risk of uterine fibroids. Study Design: The Test Group comprised 90 women treated surgically for uterine leiomyomas in the Department of Operative Gynecology, Endoscopy and Gynecologic Oncology, Polish Mother’s Memorial Hospital-Research Institute. 90 disease-free individuals were used as Controls. Patients within both groups were additionally stratified into lean, overweight and obese, according to Body Mass Index. Statistical analysis was performed between the two major groups and, furthermore, within the abovementioned subgroups. Results: The study revealed no statistically significant differences in the distribution of alleles and genotypes of SNP ADIPOQ (NM_004797.4):c.214+62G>T (rs1501299) between the two main groups. A weak correlation within distributions of alleles was observed between obese Test Patients and lean Controls. Conclusion: This pilot study has revealed no association between SNP ADIPOQ (NM_004797.4):c.214+62G>T (rs1501299) and uterine fibroids. Further studies on larger groups are warranted to elucidate whether this SNP may be correlated with uterine leiomyomas.

PMID:35250389 | PMC:PMC8894189 | DOI:10.3389/pore.2021.1609966

Geburtshilfe Frauenheilkd. 2022 Mar 3;82(3):333-340. doi: 10.1055/a-1534-2599. eCollection 2022 Mar.

ABSTRACT

Introduction The Fetal Medicine Foundation (FMF) London has developed a first trimester screening algorithm for preeclampsia (PE), based on maternal characteristics and past risk factors, mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI), and placental growth factor (PlGF). The aim of this study was to determine the feasibility of integrating PE screening into routine practice. Material and Methods All pregnancies with a fetal crown-rump length of 45 – 84 mm presenting to our ultrasound department between January 2014 and September 2020 were included in this analysis. Screening for PE was offered to singleton pregnancies only. The number of screening tests performed in the eligible population was assessed and the reasons for missed screenings identified with the help of the electronic clinical database. SPSS Statistics 25 and GraphPad version 8.0 for Windows were used for statistical analysis. Results 6535 pregnancies were included, 4510 (69.0%) of which were screened for PE. The percentage of patients being offered PE screening increased over the years from 63.1 to 96.7% (r _s = 0.96; p = 0.003), while the rate of screenings performed in eligible patients remained stable at a median [range] of 86.2% [78.0 – 91.8%] (p = ns). 2025 (31.0%) pregnancies were not screened for PE, 1306 (64.5%) because they were not eligible for screening. 145 (2.2%) women explicitly declined PE screening; their background risk was lower than that of women who accepted screening. Conclusion Our study shows that integration of PE screening into the routine first trimester ultrasound scan is feasible and widely accepted by pregnant women and health care providers.

PMID:35250382 | PMC:PMC8893983 | DOI:10.1055/a-1534-2599

Geburtshilfe Frauenheilkd. 2022 Mar 3;82(3):326-332. doi: 10.1055/a-1577-3249. eCollection 2022 Mar.

ABSTRACT

Introduction To evaluate the association of serum electrolytes with disease severity and obstetric complications in pregnant women with Coronavirus disease 2019 (COVID-19). Materials and Methods This prospective cohort study was conducted on pregnant women with confirmed COVID-19. Study population was divided into two groups: 1) Mild COVID-19 group (n = 811) and 2) Moderate/severe COVID-19 group (n = 52). Demographic features, clinical characteristics, obstetric complications, and serum electrolytes were compared between the groups. Afterward, a correlation analysis was performed to investigate the association between serum electrolyte disturbances with COVID-19 severity and obstetric complications. Results Highest serum sodium, hypernatremia, potassium replacement, hypopotassemia, hyperchloremia, initial serum magnesium, hypermagnesemia, and hypocalcemia were significantly higher in the moderate/severe COVID-19 group. The lowest serum sodium, lowest serum potassium, and initial serum calcium were significantly higher in the mild COVID-19 group (p < 0.05). Statistically significant positive weak correlations were found between hypernatremia, hypopotassemia, hyperchloremia, hypermagnesemia, hypocalcemia and COVID-19 severity (r values were 0.27, 0.20, 0.12, 0.18 and 0.12, p values were < 0.001, < 0.001, 0.02, 0.03 and 0.03, respectively). Furthermore, statistically significant positive weak correlations were found between hypopotassemia, hypochloremia, hypermagnesemia, and obstetric complications (r values were 0.10, 0.10, and 0.28, p values were 0.004, 0.03, and 0.001, respectively). A statistically significant negative weak correlation was found between hypomagnesemia and obstetric complications (r = – 0.23 and p = 0.01, respectively). Conclusion Electrolyte disturbances in pregnant women with COVID-19 seem to be associated with disease severity and obstetric complications.

PMID:35250381 | PMC:PMC8893987 | DOI:10.1055/a-1577-3249

Geburtshilfe Frauenheilkd. 2022 Mar 3;82(3):317-325. doi: 10.1055/a-1608-1138. eCollection 2022 Mar.

ABSTRACT

Introduction A common problem in the treatment of threatened preterm birth is the timing and the unrestricted use of antenatal corticosteroids (ACS). This study was performed to evaluate the independent effects of the distinct timing of antenatal corticosteroids on neonatal outcome parameters in a cohort of very low (VLBW; 1000 – 1500 g) and extreme low birth weight infants (ELBW; < 1000 g). We hypothesize that a prolonged ACS-to-delivery interval leads to an increase in respiratory complications. Materials and Methods Main data source was the prospectively collected single center data for the German nosocomial infection surveillance system (KISS) between 2015 and 2018. Multivariate regression analysis was performed to determine independent effects of the ACS-to-delivery interval on the need for ventilation, surfactant or the occurrence of bronchopulmonary dysplasia, neonatal sepsis or necrotizing enterocolitis. Subgroup analysis was performed for ELBW and VLBW neonates. Results A total of 239 neonates were included. We demonstrate a significantly increased risk of respiratory distress characterized by the need for ventilation (OR 1.045; CI 1.011 – 1.080) and surfactant administration (OR 1.050, CI 1.018 – 1.083) depending on the ACS-to-delivery interval irrespective of other confounders. Every additional day between ACS and delivery increased the risk for ventilation by 4.5% and for surfactant administration by 5%. Subgroup analysis revealed significant differences of respiratory complications in VLBW infants. Conclusions Our data strongly support the deliberate use and timing of antenatal corticosteroids in pregnancies with threatened preterm birth versus a liberal strategy. When given more than 7 days before birth, each day between application and delivery increases is relevant concerning major effects on the infant. Especially VLBW preterm neonates benefit from optimal timing.

PMID:35250380 | PMC:PMC8893984 | DOI:10.1055/a-1608-1138

Geophys J Int. 2022 Jan 29;229(3):1914-1926. doi: 10.1093/gji/ggac033. eCollection 2022 Jun.

ABSTRACT

Here we qualitatively analyse the mass change patterns across Antarctica via independent component analysis (ICA), a statistics-based blind source separation method to extract signals from complex data sets, in an attempt to reduce uncertainties in the glacial isostatic adjustment (GIA) effects and improve understanding of Antarctic Ice Sheet (AIS) mass-balance. We extract the six leading independent components from gravimetric data acquired during the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) missions. The results reveal that the observed continental-scale mass changes can be effectively separated into several spatial patterns that may be dominated by different physical processes. Although the hidden independent physical processes cannot be completely isolated, some significant signals, such as glacier melt, snow accumulation, periodic climatic signals, and GIA effects, can be determined without introducing any external information. We also observe that the time period of the analysed data set has a direct impact on the ICA results, as the impacts of extreme events, such as the anomalously large snowfall events in the late 2000s, may cause dramatic spatial and temporal changes in the ICA results. ICA provides a unique and informative approach to obtain a better understanding of both AIS-scale mass changes and specific regional-scale spatiotemporal signal variations.

PMID:35250356 | PMC:PMC8884697 | DOI:10.1093/gji/ggac033

Educ Inf Technol (Dordr). 2022 Feb 28:1-26. doi: 10.1007/s10639-022-10931-x. Online ahead of print.

ABSTRACT

Given the increasing prevalence of web technology, web-based mathematics environments have been increasingly widely used in mathematics education for the past two decades. The COVID-19 pandemic has led to an urgent transition from traditional mathematics instruction (TMI) to web-based mathematics instruction (WBMI) at all levels of mathematics education. At this point, it is crucial to scrutinize the effects of WBMI on K-16 students’ mathematics learning comprehensively. This meta-analysis research contained a total of 63 studies with 115 effect sizes, which aimed to investigate the effectiveness of WBMI on K-16 students’ mathematics learning by incorporating potential moderators, namely mathematics topics, mathematical content standards, feedback status, type of instructional features, age (i.e., grade level), and assessment methods. Based on findings, WBMI has a significantly strong effect on K-16 students’ mathematics learning (g = 1.10, p = 0.01, 95% CI [0.95, 1.27]). Moderator analyses reveal that the effect sizes of WBMI on K-16 students’ mathematics learning varied significantly depending on all these potential moderators. Additionally, higher-level mathematical concepts, statistics and probability, WBMI with providing feedback, tutorial systems, undergraduate students, and traditional paper-pencil assessment are the strongest moderators in their context. The most notable results of this research are that WBMI is significantly more effective on students’ mathematics learning than TMI, while even in the context of WBMI, traditional paper-pencil assessment is significantly more effective than online assessment. This meta-analytic research provides a comprehensive and up-to-date perspective on the effectiveness of WBMI on K-16 students’ mathematics learning.

PMID:35250352 | PMC:PMC8882714 | DOI:10.1007/s10639-022-10931-x

Educ Inf Technol (Dordr). 2022 Feb 26:1-20. doi: 10.1007/s10639-022-10963-3. Online ahead of print.

ABSTRACT

Student participation, as a significant indicator of class learning, has been investigated from various perspectives. The present research seeks to explore student participation by drawing on text data from the chat box of an online learning platform. The two main research questions concern the main types of student participation indicated by the online chat data as well as how extensively and frequently students had participated online in class. The written text messages of 84 university students in the chat box were recorded in an online English course for three months in consecutives. The findings revealed that students’ online chat data generally fell into five major types: students’ responses of factual information (62.77%) social interaction (15.74%), phatic communication (9.95%), tech-related messages (7.5%) and class schedule (4.5%). With 89% of participation concerning meaningful interactions and 11% of participation dealing with simple clarification of tech problems and class schedules, the findings suggest a highly active and meaningful online in-class participation. In addition, further descriptive statistics depicted the level of participation in terms of its frequency and breadth. Results showed that the active and meaningful online participation had been persistent over three months with an average of 74.52% regular participating students and average 410 chat messages sent one day. Implications were discussed in relation to the features of student participation.

PMID:35250350 | PMC:PMC8881551 | DOI:10.1007/s10639-022-10963-3