Tag: pubmed

Environ Monit Assess. 2022 Oct 27;195(1):39. doi: 10.1007/s10661-022-10642-3.

ABSTRACT

Groundwater contamination becomes an alarming threat to the provision of ecosystem services and natural resources. A very high level of groundwater contamination has been observed in the northeastern states particularly in North Tripura district. Therefore, the present study considered the region as a case study to evaluate the hydrogeochemical facies, heavy metal pollution and irrigation indices, and their impact on human health. For the investigation, we have collected a total of 35 groundwater samples from North Tripura district. Hydrogeochemical facies through Piper plot reflect Ca²⁺-Mg²⁺-HCO₃^– and Na⁺-HCO₃^– as dominant water types. Gibbs plot identifies the dominance of rock-water interaction process in groundwater hydrochemistry. Geochemical plots indicate the dominance of silicate weathering, ion exchange and carbonate dissolution processes in groundwater mineralisation. The order of trace metal contaminations follows Fe > As > Zn > Mn > Cu > Pb. Results of heavy metal indices suggest above 80% samples are at high risk due to high Fe contamination. The risk of the heavy metal indices is associated with rising elevation in southern part of North Tripura. Findings of health risk assessment study imply that children face much carcinogenic and non-carcinogenic risks than adults because of unsafe levels of Fe and As. Multivariate statistical tools are applied to unravel interrelationships among all ions and trace metals as well as probable hydrogeochemical processes in groundwater. Results of Wilcox and USSL plots suggest 77% samples meet irrigation suitability criteria. Besides, the analysis suggests a better insight to identify hydrogeochemical processes controlling groundwater chemistry and the suitability of groundwater for irrigation and drinking purposes. The study also suggests treatment and sustainable management of groundwater resources is compulsory to reduce trace metal contaminations before public use.

PMID:36301348 | DOI:10.1007/s10661-022-10642-3

Arch Gynecol Obstet. 2022 Oct 27. doi: 10.1007/s00404-022-06778-9. Online ahead of print.

ABSTRACT

PURPOSE: The aim of this study was to evaluate the postoperative course after different methods of hysterectomy for benign diseases with special emphasis on time to recovery and patient-centred aspects such as postoperative quality of life and satisfaction.

METHODS: A collective of 242 women who had undergone vaginal hysterectomy (VH), laparoscopic supracervical hysterectomy (LASH) or total laparoscopic hysterectomy (TLH) for various benign conditions was studied in this retrospective investigation. Patients completed a standardised questionnaire addressing quality of life, recovery and sick leave as well as general questions on their postoperative course after hysterectomy.

RESULTS: A total of 242 cases were analysed (82 VH, 92 LASH and 68 TLH). The data demonstrate significant differences in regard to age between groups. The present study shows shorter hospitalisation with laparoscopy, with LASH patients returning to work at least one week earlier on average. There were no relevant differences in the overall postoperative course during the index hospital stay. In the long run, laparoscopic patients were not more satisfied with their choice than VH patients.

CONCLUSION: No significant long-term differences could be observed in terms of quality of life and overall postoperative satisfaction between VH and LH groups. In regard to socioeconomic aspects, laparoscopic approaches were associated with shorter hospitalisation and LASH patients returning to work at least one week earlier on average. Contrary to these data on objective recovery; however, a laparoscopic approach did not lead to patient-perceived, i.e. subjective improvement of time to full recovery.

PMID:36301347 | DOI:10.1007/s00404-022-06778-9

J Womens Health (Larchmt). 2022 Oct 25. doi: 10.1089/jwh.2022.0065. Online ahead of print.

ABSTRACT

Background: The U.S. Preventive Services Task Force recommends biennial screening mammography for average-risk women aged 50-74 years. We aim to generate county-level prevalence estimates for mammography use to examine disparities among counties. Materials and Methods: We used data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) (n = 111,902 women) and linked them to county-level data from the American Community Survey. We defined two outcomes: mammography within the past 2 years (current); and mammography 5 or more years ago or never (rarely or never). We poststratified the data with U.S. Census estimated county population counts, ran Monte Carlo simulations, and generated county-level estimates. We aggregated estimates to state and national levels. We validated internal consistency between our model-based and BRFSS state estimates using Spearman and Pearson correlation coefficients. Results: Nationally, more than three in four women [78.7% (95% confidence interval {CI}: 78.2%-79.2%)] were current with mammography, although with large variations among counties. Also, nationally, about one in nine women [11% (95% CI: 10.8%-11.3%)] rarely or never had a mammogram. County estimates for being current ranged from 60.4% in New Mexico to 86.9% in Hawaii. Rarely or never having a mammogram ranged from 6% in Connecticut to 23.0% in Alaska, and on average, almost one in eight women in all the counties. Internal consistency correlation coefficient tests were ≥0.94. Conclusions: Our analyses identified marked county variations in mammography use across the country among women aged 50-74 years. We generated estimates for all counties, which may be helpful for targeted outreach to increase mammography uptake.

PMID:36301186 | DOI:10.1089/jwh.2022.0065

Soc Stud Sci. 2022 Oct 27:3063127221127666. doi: 10.1177/03063127221127666. Online ahead of print.

ABSTRACT

Principal component analysis (PCA) is a common statistical procedure. In forensics, it is used in facial recognition technologies and composite sketching systems. PCA is especially helpful in contexts with high facial diversity, which is often translated as racial diversity. In these settings, researchers use PCA to define a ‘normal face’ and organize the rest of the available facial diversity based on their resemblance to or difference from that norm. In this way, the use of PCA introduces an ‘ontology of the normal’ in which expectations about how a normal face should look are corroborated by statistical calculations of normality. I argue that the use of PCA can lead to a statistical reification of racial stereotypes that informs recognition practices. I discuss current and historical cases in which PCA is used: one of face perception theorization (‘face space theory’) and two of technology development (the ‘eigenfaces’ facial recognition algorithm and the ‘EvoFIT’ composite sketching system). In each, PCA aligns facial normality with racial expectations, and instrumentalizes race in specific ways: as a type, physical attribute, or genealogy. This analysis of PCA does two things. First, it opens the black box of facial recognition to uncover how stereotypes and intuitions about normality become part of theories and technologies of facial recognition. Second, it explains why racial categorizations remain central in contemporary identification technologies and other forensic practices.

PMID:36301181 | DOI:10.1177/03063127221127666

Stud Health Technol Inform. 2022 Oct 26;300:1-11. doi: 10.3233/SHTI220936.

ABSTRACT

Biomedical and Health Informatics (BMHI) have been essential catalysts for achievements in medical research and healthcare applications over the past 50 years. These include increasingly sophisticated information systems and data bases for documentation and processing, standardization of biomedical data, nomenclatures, and vocabularies to assist with large scale literature indexing and text analysis for information retrieval, and methods for computationally modeling and analyzing research and clinical data. Statistical and AI techniques for decision support, instrumentation integration, and workflow aids with improved data/information management tools are critical for scientific discoveries in the – omics revolutions with their related drug and vaccine breakthroughs and their translation to clinical and preventive healthcare. Early work on biomedical image and pattern recognition, knowledge-based expert systems, innovative database, software and simulation techniques, natural language processing and computational ontologies have all been invaluable for basic research and education. However, these methods are still in their infancy and many fundamental open scientific problems abound. Scientifically this is due to persistent limitations in understanding biological processes within complex living environments and ecologies. In clinical practice the modeling of fluid practitioner roles and methods as they adjust to novel cybernetic technologies present great opportunities but also the potential of unintended e-iatrogenic harms which must be constrained in order to adhere to ethical Hippocratic norms of responsible behavior. Balancing the art, science, and technologies of BMHI has been a hallmark of debates about the field’s historical evolution. The present article reviews selected milestones, achievements, and challenges in BMHI education mainly, from a historical perspective, including some commentaries from leaders and pioneers in the field, a selection of which have been published online recently by the International Medical Informatics Association (IMIA) as the first volume of an IMIA History WG eBook. The focus of this chapter is primarily on the development of BMHI in terms of those of its educational activities which have been most significant during the first half century of IMIA, and it concentrates mainly on the leadership and contributions of John Mantas who is being honored on his retirement by the Symposia in Athens for which this chapter has been written.

PMID:36300397 | DOI:10.3233/SHTI220936

Cell Transplant. 2022 Jan-Dec;31:9636897221129174. doi: 10.1177/09636897221129174.

ABSTRACT

In the Taihang Mountain areas, known as the “esophageal cancer zone” in China, the incidence of esophageal cancer (ESCA) ranks the first in the country and shows a familial and regional clustering trend. Taihang Mountain areas are located in a mountainous area, with inconvenient transportation, limited living conditions, unbalanced diet, and poor nutrition. Ninety percent of the pathological types of ESCA in Taihang Mountain areas are squamous cell carcinoma, among which the risk factors have not been well understood. These areas are usually remote villages and mountains with low population mobility, large family members, similar environmental factors, and a clear and stable genetic background. Therefore, according to the current situation, second-generation sequencing and multigroup analysis technology are used to analyze the familial ESCA patients; disease-related genetic variation are located; and then disease-related susceptibility genes associated with ESCA are screened and analyzed. Health education, tobacco control, endoscopic screening, and other health management projects for suspected and high-risk patients in areas with a high incidence of ESCA can be carried out for screening and early diagnosis, and the incidence of ESCA in Taihang Mountain areas can be reduced. A comprehensive continuous care pattern based on traditional medical nursing to track, monitor, evaluate, and intervene with patients diagnosed with ESCA to facilitate them with medications guidance, dietary guidance, and timely health problem-solving is established. Furthermore, statistical analysis of epidemiology, gene sequencing, and family genetics information can be performed on patients with ESCA in the Taihang Mountains areas to clarify the relationship between genetic phenotype and genotype during the occurrence of ESCA.

PMID:36300368 | DOI:10.1177/09636897221129174

Eur Heart J. 2022 Oct 27:ehac611. doi: 10.1093/eurheartj/ehac611. Online ahead of print.

ABSTRACT

AIMS: This network meta-analysis aimed to assess the effect of early coronary angiography (CAG) compared with selective CAG (late and no CAG) for patients after out-of-hospital cardiac arrest without ST-elevation myocardial infarction (NSTE-OHCA).

METHODS AND RESULTS: A systematic literature search was performed using the EMBASE, MEDLINE and Web of Science databases without restrictions on publication date. The last search was performed on 15 July 2022. Randomized controlled trials (RCTs) and non-randomized studies (NRS) comparing the effect of early CAG to selective CAG after NSTE-OHCA on survival and/or neurological outcomes were included. Meta-analyses were performed based on a DerSimonian-Laird random effects model. A total of 18 studies were identified by the literature search. After the exclusion of two studies due to high risk of bias, 16 studies (six RCTs, ten NRS) were included in the final analyses. Meta-analyses showed a statistically significant increase in survival after early CAG compared with selective CAG in the overall analysis [OR: 1.40, 95% confidence interval (CI): (1.12-1.76), P < 0.01, I2 = 68%]. This effect was lost in the subgroup analysis of RCTs [OR: 0.89, 95% CI: (0.73-1.10), P = 0.29, I2 = 0%]. Random effects model network meta-analysis of NRS based on a Bayesian method showed statistically significant increased survival after late compared with early CAG [OR: 4.20, 95% CI: (1.22, 20.91)].

CONCLUSION: The previously reported superiority of early CAG after NSTE-OHCA is based on NRS at high risk of selection and survivorship bias. The meta-analysis of RCTs does not support routinely performing early CAG after NSTE-OHCA.

PMID:36300362 | DOI:10.1093/eurheartj/ehac611

Phys Chem Chem Phys. 2022 Oct 27. doi: 10.1039/d2cp02659g. Online ahead of print.

ABSTRACT

Graphdiyne (GDY), a two-dimensional (2D) carbon, uniquely possesses mixed sp-sp² hybridization, uniform nano-sized porous structure, semiconducting character, and excellent electrical conductivity. These features beneficially promote its applications in many fields, especially gas sensing. Based on density functional theory (DFT) and statistical thermodynamics, this study reports the sensing capabilities of pristine and selected transition metal (i.e., Fe, Sc, and Ti)-decorated GDY to detect environmentally hazardous arsine (AsH₃) and phosphide (PH₃) gases. We discover that Fe-doped GDY is a high-performance sensing material for detecting AsH₃ and PH₃ because of its selectivity and ultra-high sensitivity at the part-per-million (ppm) level. The presence of these gases induces measurably drastic changes in the electronic properties of Fe-doped GDY. The promising detection capabilities are fundamentally rooted in the appropriate chemical binding energies (i.e., ranging from -0.80 to -1.80 eV), which are basically rooted in the prominent orbital overlap among Fe-3d and As(P)-4p states. This study has raised the need to design efficient nanosensors using GDY-based materials.

PMID:36300345 | DOI:10.1039/d2cp02659g

World J Pediatr Congenit Heart Surg. 2022 Nov;13(6):707-715. doi: 10.1177/21501351221111998.

ABSTRACT

BACKGROUND: The AHA/ACC Adult Congenital Heart Disease guidelines recommend that most adults with congenital heart disease (CHD) follow-up with CHD cardiologists every 1 to 2 years because longer gaps in care are associated with adverse outcomes. This study aimed to determine the proportion of patients in North Carolina who did not have recommended follow-up and to explore predictors of loss to follow-up.

METHODS: Patients ages ≥18 years with a healthcare encounter from 2008 to 2013 in a statewide North Carolina database with an ICD-9 code for CHD were assessed. The proportion with cardiology follow-up within 24 months following index encounter was assessed with Kaplan-Meier estimates. Cox regression was utilized to identify demographic factors associated with differences in follow-up.

RESULTS: 2822 patients were identified. Median age was 35 years; 55% were female. 70% were white, 22% black, and 3% Hispanic; 36% had severe CHD. The proportion with 2-year cardiology follow-up was 61%. Those with severe CHD were more likely to have timely follow-up than those with less severe CHD (72% vs 55%, P < .01). Black patients had a lower likelihood of follow-up than white patients (56% vs 64%, P = .01). Multivariable Cox regression identified younger age, non-severe CHD, and non-white race as risk factors for a lower likelihood of follow-up by 2 years.

CONCLUSION: 39% of adults with CHD in North Carolina are not meeting AHA/ACC recommendations for follow-up. Younger and minority patients and those with non-severe CHD were particularly vulnerable to inadequate follow-up; targeted efforts to retain these patients in care may be helpful.

PMID:36300264 | DOI:10.1177/21501351221111998

Acta Biomed. 2022 Oct 26;93(5):e2022219. doi: 10.23750/abm.v93i5.12794.

ABSTRACT

BACKGROUND: Reactive lesions (RLs) are the most common oral mucosal lesions that are benign in nature and are more likely to reoccur if the lesion or local irritants at the site are not completely removed. The histopathology is usually determined by the stage of the lesion, which includes neovascularization, inflammation, and fibrosis etc. Aim: To evaluate and compare mast cell counts in different reactive lesions with normal gingiva (NG) and to determine the correlation between mast cell count and inflammation, fibrosis, and angiogenesis using immunohistochemistry.

MATERIALS & METHODS: 10 pyogenic granulomas (early and late), 10 irritational fibromas, 5 inflammatory fibrous hyperplasia, and 5 peripheral cemento-ossifying fibromas 5 normal gingiva were evaluated. Mast cell counts were compared. ANOVA and t-tests were used to analyze the data. Spearman correlation was used to compare the mast cell count to the inflammation, fibrosis, and vascular components. A p-value of 0.05 was considered statistically significant.

RESULTS: The mean number of mast cells were increased in oral reactive lesions when compared to NG. Although mast cells were significantly higher in IFH and IF, there was no correlation found among mast cells and fibrosis/inflammation/vascularity.

CONCLUSION: Reactive process involves multiple interactions among mast cells, endothelial cells, fibroblasts, and other immune cells, among which the role of mast cells has been evaluated. Mast cell count increases in these reactive lesions, possibly reflecting an important role in microenvironment modification, but it is not the sole cause of these lesions’ pathogenesis.

PMID:36300240 | DOI:10.23750/abm.v93i5.12794