Nevin Manimala

J Ultrasound. 2022 May 27. doi: 10.1007/s40477-022-00682-3. Online ahead of print.

ABSTRACT

INTRODUCTION: There is evolving literature on the superiority of transperineal ultrasound (TPU) in predicting the mode of delivery either before induction or during the course of labour. An ultrasound score (USG score) similar to a Bishop score or an ultrasound scoring method based on independent predictors before the onset of labour at term gestation would serve as a baseline objective record over which further progress of labour could be evaluated.

OBJECTIVE: 1. To sonographically examine the clinical parameters evaluated during a digital examination. 2. To derive an USG score using TPU parameters, similar to a Bishop score, and determine its performance in predicting pregnancy outcomes. 3. To identify which are the independent predictors of caesarean section among all the studied ultrasound (USG) parameters.

MATERIALS AND METHODS: In this prospective study, all the eligible women who came for routine antenatal care at term gestation and who were due for pelvic assessment were recruited. They underwent transabdominal ultrasound (TAS) for evaluating head position and head circumference, and TPU for evaluating head station with and without applying fundal pressure, various cervical parameters, sub pubic angle. Equivalent five USG parameters were scored along similar lines as the Bishop score. These women underwent vaginal examination for Bishop score and pelvic adequacy by an obstetrician who was blinded about USG parameters. While spontaneous onset of labour (SOL) was awaited in some of these women, some were induced as and when indicated. After delivery, the Bishop scores, pregnancy outcome in terms of SOL or induction of labour (IOL), mode of delivery and duration of labour were noted retrospectively from case records. Independent predictors of caesarean were obtained by univariate and multivariate analysis.

RESULTS: All the parameters were assessed for predictive ability of caesarean section by univariate analysis. The cervical length, angle of progression (AOP) at rest, head perineal distance (HPD) at rest and with pressure, Bishop score and USG score were found significant. On multivariate analysis, cervix length and USG score were found to be statistically significant. At a USG score of ≤ 5, the sensitivity and specificity to predict caesarean section were 84% and 68%, respectively. The relative risk (RR) was 4.9 (95% CI 2.3-12). The USG score could predict SOL. The p value was 0.001. The area under the curve (AUC) for the ultrasound score was 0.74.

CONCLUSIONS: USG examination by USG score at term gestation before the onset of labour can predict mode of delivery by caesarean section. It can predict spontaneous onset of labour. However, among all the individual parameters, cervix length has best predictive ability for caesarean section.

PMID:35622298 | DOI:10.1007/s40477-022-00682-3

Environ Sci Pollut Res Int. 2022 May 27. doi: 10.1007/s11356-022-20025-3. Online ahead of print.

ABSTRACT

Evidence on the effects of exposure to ambient gaseous pollutants on children’s vision was consistently scarce. We aimed to explore the effect of ambient gaseous pollutant exposure on the incidence of visual impairment (VI) in children. From 2005 to 2018, a total of 340,313 children without VI participated in a longitudinal and two-center dynamic cohort. The logMAR acuity was used to assess visual function. The space-time extremely randomized trees model was used to estimate SO₂ and CO exposures levels. The association between SO₂ and CO and VI risks among children was assessed using a proportional hazards model with a restricted cubic spline. Subgroup analyses stratified by gender and grades were used to investigate the differences in an association of SO₂ and CO exposures with childhood VI. A total of 158381 (46.54%) children experienced an new incident VI. A ten-unit (10 μg/m³) increase in SO₂ exposure concentrations was significantly associated with a 1.70 times higher risk of childhood VI. In addition, a 0.1-unit (0.1 mg/m³) increase in CO exposure was significantly associated with a 1.22 times higher risk of childhood VI. The positive association between ambient gaseous pollutants (including SO₂ and CO exposures) and childhood VI risks remained even after adjusting for other environmental variables. An increase in the incidence of VI in children was positively linked to SO₂ and CO exposure. Such evidence might aid governments in developing strategies to interfere with children’s eyesight by decreasing air pollution and changing school curricula.

PMID:35622291 | DOI:10.1007/s11356-022-20025-3

Environ Sci Pollut Res Int. 2022 May 27. doi: 10.1007/s11356-022-21042-y. Online ahead of print.

ABSTRACT

Understanding whether and how urban innovation offers a sound solution to the dilemma of urban green development is a crucial response to mitigate the detrimental effect on natural resources and environment for transitioning to sustainable urban development. To address the critical issue, we propose urban green development evaluation index system, and then examine how the urban innovation affects urban green development from the perspectives of government-scale, enterprise-scale, and spatial correlation network, all of which are originally applied in the 108 cities of Yangtze River Economic Belt of China (YREB) during period 2006-2018. The evaluation results show that urban innovation promotes urban green development, and both government-scale and enterprise-scale contribute to the effects. The constructed spatial correlation network of urban innovation illustrates the network structural form and reveals the network property, and further results tell that increasing network density and centrality would promote green development obviously. More specifically, the network density of urban innovation has been tied to the enhancement of urban green development, which is more significant in middle reaches than in lower and upper reaches of YREB. Similarly, optimizing the network’s degree centrality and closeness centrality can help facilitate urban green development in whole YREB. Thus, the research findings would provide new insights into the essence and driving forces from various scale and hidden network when exploring and seeking urban green development path.

PMID:35622287 | DOI:10.1007/s11356-022-21042-y

Brain Imaging Behav. 2022 May 27. doi: 10.1007/s11682-022-00674-1. Online ahead of print.

ABSTRACT

This study aimed to evaluate the differences of brain connectivity between healthy subjects (HS) and patients with extracranial internal carotid artery (eICA) stenosis before and after carotid endarterectomy (CEA). An exploratory prospective study was designed. The study population consisted of a patient group (PG) of 20 patients with eICA stenosis eligible for CEA, and a control group (CG) of 20 HS, matched for age and sex. The subjects of the PG group underwent Magnetic Resonance Imaging (MRI) for resting-state functional connectivity MRI (rs-fc MRI) analysis within one week from the CEA (pre-CEA) and 12 months following CEA (post-CEA). The CG underwent a single MRI with the same protocol utilized for the PG. Three region-of-interest to region-of-interest (ROI-to-ROI) rs-fc MRI analyses were conducted: analysis 1 to compare pre-CEA PG and CG; analysis 2 to compare pre-CEA PG and post-CEA PG; analysis 3 to compare post-CEA PG and CG. The Functional Network Connectivity multivariate parametric technique was used for statistical analysis, adopting a p-uncorrected (p-unc) < 0.05 as connection threshold, and a cluster level False Discovery Rate corrected p (p-FDR) < 0.05 as cluster threshold. The clusters were defined by using a data-driven hierarchical clustering procedure. Analysis 1 revealed two clusters of reduced interhemispheric connectivity of pre-CEA PG when compared to CG. Analysis 2 and 3 showed no statistically significant differences. Our exploratory analysis suggests that patients with eICA stenosis have reduced interhemispheric connectivity when compared to a matched control group, and this difference was not evident anymore following endarterectomy.

PMID:35622267 | DOI:10.1007/s11682-022-00674-1

Breast Cancer Res Treat. 2022 May 27. doi: 10.1007/s10549-022-06628-x. Online ahead of print.

ABSTRACT

INTRODUCTION: There is a paucity of literature comparing the postoperative outcomes of males and females with breast cancer who undergo mastectomy. The aim of this study is to evaluate the comorbidities and 30-day post-mastectomy complication rates among males and females.

METHODS: We performed a retrospective analysis of breast cancer patients who underwent mastectomy from 2014 to 2016 using the American College of Surgeon’s National Surgical Quality Improvement Project database. Data including patient demographics, comorbidities, and 30-day surgical and medical complications were collected. Statistical analysis included Chi-square and Fisher’s exact tests for categorical variables and Student T-tests for continuous variables. Statistical significance was defined as p < 0.05.

RESULTS: A total of 15,167 patients were identified. There were 497 males (3.3%) and 14,670 females (96.7%). Age was significantly higher in females compared to males (63.5 vs. 57.6 years, p < 0.001). Body mass index (BMI) at time of surgery was also higher in males (30.0 vs. 29.3 kg/m², p = 0.011). There was a higher prevalence of diabetes in males (20.1 vs. 16.5%, p = 0.032). Operative duration was significantly longer in females (114.9 vs. 95.0 min, p < 0.001). Median postoperative length of stay was also longer in females (1.2 vs. 0.8 days, p < 0.001). There were no significant differences in 30-day medical or surgical complication rates between the two sexes.

CONCLUSION: Our findings suggest that differences in age, BMI, and comorbidities between males and females do not significantly impact 30-day medical or surgical complications following total mastectomy for breast cancer. Further research is warranted to identify perioperative risk factors that influence post-mastectomy complication rates.

LEVEL OF EVIDENCE: 3 (Retrospective cohort study).

PMID:35622242 | DOI:10.1007/s10549-022-06628-x

Biometrics. 2022 May 27. doi: 10.1111/biom.13701. Online ahead of print.

ABSTRACT

With recent advances in technologies to profile multi-omics data at the single-cell level, integrative multi-omics data analysis has been increasingly popular. It is increasingly common that information such as methylation changes, chromatin accessibility, and gene expression are jointly collected in a single-cell experiment. In biomedical studies, it is often of interest to study the associations between various data types and to examine how these associations might change according to other factors such as cell types and gene regulatory components. However, since each data type usually has a distinct marginal distribution, joint analysis of these changes of associations using multi-omics data is statistically challenging. In this paper, we propose a flexible copula-based framework to model covariate-dependent correlation structures independent of their marginals. In addition, the proposed approach could jointly combine a wide variety of univariate marginal distributions, either discrete or continuous, including the class of zero-inflated distributions. The performance of the proposed framework is demonstrated through a series of simulation studies. Finally, it is applied to a set of experimental data to investigate the dynamic relationship between single-cell RNA-sequencing, chromatin accessibility, and DNA methylation at different germ layers during mouse gastrulation. This article is protected by copyright. All rights reserved.

PMID:35622236 | DOI:10.1111/biom.13701

Pharmacol Rep. 2022 May 27. doi: 10.1007/s43440-022-00371-2. Online ahead of print.

ABSTRACT

BACKGROUND: G protein-coupled receptor 35 (GPR35) is involved in the carcinogenesis; however, limited data exist on its relevance for overall survival (OS) and disease-specific survival (DSS) in patients with cancer.

METHODS: We have examined The Cancer Genome Atlas dataset to check the relations between GPR35 expression pattern and OS or DSS of patients with colorectal cancer (CRC).

RESULTS: The performed analysis showed a negative association between positive GPR35 expression Z score and OS in males, which remains statistically significant in advanced stages of colon (COAD) and rectal (READ) adenocarcinoma combined.

CONCLUSIONS: These findings suggest the prognostic value of early testing of GPR35 in male patients with an increased risk of CRC development and warrant further clinical confirmation.

PMID:35622222 | DOI:10.1007/s43440-022-00371-2

Int Ophthalmol. 2022 May 27. doi: 10.1007/s10792-022-02331-4. Online ahead of print.

ABSTRACT

PURPOSE: The molecules human interleukin (IL-18), the soluble cluster of differentiation (sCD40), platelet factor 4 variant 1 (PF4V1), and neutrophil gelatinase-associated lipocalin (NGAL) are all markers of inflammation in biological systems and are linked to prognosis in several inflammatory diseases as well. Since there is no study in which the above-mentioned molecules are studied together in ocular Behçet’s disease (OBD), the aim of this study is to reveal whether these molecules are activity markers in active (OABD) and inactive (OIBD) disease.

METHODS: 30 OABD and 30 OIBD and 30 healthy individuals were included in the study. IL-18, sCD40, PF4V1, and NGAL molecules were studied in blood samples by the ELISA method.

RESULTS: When OABD and OIBD were compared to healthy individuals, the levels of IL-18, sCD40, PF4V1, and NGAL molecules were found to be statistically significant. These values were even more significantly higher in patients with OABD.

CONCLUSION: When ROC values of IL-18, sCD40, PF4V1, and NGAL are evaluated, it is clear that these four molecules can be used as biomarkers to aid activity and diagnosis in OBD.

PMID:35622217 | DOI:10.1007/s10792-022-02331-4

Sleep Breath. 2022 May 27. doi: 10.1007/s11325-022-02641-y. Online ahead of print.

ABSTRACT

BACKGROUND: Hypoglossal nerve stimulator (HGNS) is a therapeutic option for moderate to severe obstructive sleep apnea (OSA). Improved patient selection criteria are needed to target those most likely to benefit. We hypothesized that the pattern of negative effort dependence (NED) on inspiratory flow limited waveforms recorded during sleep, which has been correlated with the site of upper airway collapse, would contribute to the prediction of HGNS outcome. We developed a machine learning (ML) algorithm to identify NED patterns in pre-treatment sleep studies. We hypothesized that the predominant NED pattern would differ between HGNS responders and non-responders.

METHODS: An ML algorithm to identify NED patterns on the inspiratory portion of the nasal pressure waveform was derived from 5 development set polysomnograms. The algorithm was applied to pre-treatment sleep studies of subjects who underwent HGNS implantation to determine the percentage of each NED pattern. HGNS response was defined by STAR trial criteria for success (apnea-hypopnea index (AHI) reduced by > 50% and < 20/h) as well as by a change in AHI and oxygenation metrics. The predominant NED pattern in HGNS responders and non-responders was determined. Other variables including demographics and oxygenation metrics were also assessed between responders and non-responders.

RESULTS: Of 45 subjects, 4 were excluded due to technically inadequate polysomnograms. In the remaining 41 subjects, ML accurately distinguished three NED patterns (minimal, non-discontinuous, and discontinuous). The percentage of NED minimal breaths was significantly greater in responders compared with non-responders (p = 0.01) when the response was defined based on STAR trial criteria, change in AHI, and oxygenation metrics.

CONCLUSION: ML can accurately identify NED patterns in pre-treatment sleep studies. There was a statistically significant difference in the predominant NED pattern between HGNS responders and non-responders with a greater NED minimal pattern in responders. Prospective studies incorporating NED patterns into predictive modeling of factors determining HGNS outcomes are needed.

PMID:35622197 | DOI:10.1007/s11325-022-02641-y

Aliment Pharmacol Ther. 2022 May 27. doi: 10.1111/apt.17050. Online ahead of print.

ABSTRACT

BACKGROUND: Low-dose aspirin is a risk factor for peptic ulcer disease but previous, population-based cohort studies may have underestimated the low-dose aspirin risk because they did not use a new-user design. Gastrointestinal bleeding occurs more frequently early after initiation of low-dose aspirin therapy than in later years.

AIM: To assess the associations of low-dose aspirin with gastric and duodenal ulcer incidence in prevalent- and new-user design.

METHODS: Multivariate Cox regression models in the German ESTHER study (N = 7737) and the UK Biobank (N = 213,598) with more than 10 years of follow-up.

RESULTS: In the prevalent-user design, there was no significant association between low-dose aspirin and gastric ulcer observed in both cohorts. Furthermore, low-dose aspirin was weakly, statistically significantly associated with prevalent duodenal ulcer in the UK Biobank (hazard ratio [95% confidence interval]: 1.27 [1.07-1.51]) but not in the ESTHER study (1.33 [0.54-3.29]). When restricting the exposure to only new users, the hazard ratios for incident gastric and duodenal ulcer disease were 1.82 [1.58-2.11] and 1.66 [1.36-2.04] in the UK Biobank, respectively, and 2.83 [1.40-5.71] and 3.89 [1.46-10.42] in the ESTHER study, respectively.

CONCLUSIONS: This study shows that low-dose aspirin is an independent risk factor for both gastric and duodenal ulcers. The associations were not significant or weak in the prevalent-user design and strong and statistically significant in the new-user design in both cohorts. Thus, it is important to weigh risks against benefits when low-dose aspirin treatment shall be initiated and to monitor adverse gastrointestinal symptoms after the start of low-dose aspirin therapy.

PMID:35621052 | DOI:10.1111/apt.17050