Nevin Manimala

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

Acta Biomed. 2022 Oct 26;93(5):e2022313. doi: 10.23750/abm.v93i5.13402.

ABSTRACT

BACKGROUND AND AIM: The pandemic caused by SARS-COV-2 has increased Semi-Intensive Care Unit (SICU) admission, causing an increase in healthcare-associated infection (HAI). Mostly HAI reveals the same risk factors, but fewer studies have analyzed the possibility of multiple coinfections in these patients. The study aimed was to identify patterns of co-presence of different species describing at the same time the association between such patterns and patient demographics and, finally, comparing the patterns between the two cohorts of COVID-19 patients admitted at Policlinico during the first wave and the second one).

METHODS: All the patients admitted to SICUs during two COVID-19 waves, from March to June 2020 months and from October to December 2020, were screened following the local infection control surveillance program; whoever manifested fever has undergone on microbiological culture to detect bacterial species. Statistical analysis was performed to observe the existence of microbiological patterns through DBSCAN method.

RESULTS: 246 patients were investigated and 83 patients were considered in our study because they presented infection symptoms with a mean age of 67 years and 33.7% of female patients. During the first and second waves were found respectively 10 and 8 bacterial clusters with no difference regarding the most frequent species.

CONCLUSIONS: The results show the importance of an analysis which considers the risk factors for the possibility of co- and superinfection (such as age and gender) to structure a good prognostic tool to predict which patients will encounter severe coinfections during hospitalization.

PMID:36300221 | DOI:10.23750/abm.v93i5.13402

Acta Biomed. 2022 Oct 26;93(5):e2022309. doi: 10.23750/abm.v93i5.13803.

ABSTRACT

BACKGROUND AND AIM: Medication administration errors represent a topic of great scientific interest. Medication administration is considered by nursing students a complex process during which it is easy to make mistakes; therefore, institutional measures have been adopted in order to reduce medication errors. However, it remains a critical issue in nursing practice for which several causes have been identified, including environmental factors and individual knowledge. Mistakes can be made by nurses and especially by students who must cope with additional causal factors including anxiety management. The aim was to investigate state anxiety levels among nursing students when it comes to medication administration.

RESEARCH DESIGN AND METHODS: An observational study involving a convenience sample of 150 nursing students from a Northern Italy University has been conducted; they were asked to complete a questionnaire to measure the levels of state anxiety in relation to medication administration. Results. There were no particularly high levels of state anxiety among students associated with medication administration; however, state anxiety levels were slightly higher in third-year students than in second-year students, and this is most likely due to the growing complexity of the medication administration process compared to the lack of experience. Conclusions. Although the results don’t show statistically significant data, the effectiveness of nursing education plays a crucial role in reducing medication errors, which is why it is essential to provide suitable tools for the professionals of the future and invest in clinical simulations.

PMID:36300204 | DOI:10.23750/abm.v93i5.13803

Policy Polit Nurs Pract. 2022 Oct 26:15271544221130052. doi: 10.1177/15271544221130052. Online ahead of print.

ABSTRACT

Systemic and structural racism in nursing have profound impacts on Black People, Indigenous Peoples, and People of Color. They contributed to underrepresentation in faculty, senior nurse executives, and presidents’ positions in academic and healthcare organizations, physical and mental health issues in racialized groups. This quality improvement study described ways in which the Black Nurses Task Force of the Registered Nurses Association of Ontario can build solidarity with nursing and government organizations to dismantle systemic and structural racism in nursing. This study used a structured online survey, comprised of quantitative and qualitative questions. The qualitative data were analyzed using interpretative thematic analysis and the quantitative data were analyzed with descriptive statistics. Findings showed that 88% of participants experienced racism and 63% said racism affected their mental health. Three themes emerged from the qualitative data: Social support for Black nurses, accountability of leaders and solidarity with Black nurses. These findings demonstrated the urgent need to dismantle systemic and structural racism in nursing.

PMID:36300199 | DOI:10.1177/15271544221130052