Categories
Nevin Manimala Statistics

Metabolomic landscape of overall and common cancers in the UK Biobank: A prospective cohort study

Int J Cancer. 2024 Mar 2. doi: 10.1002/ijc.34884. Online ahead of print.

ABSTRACT

Information about the NMR metabolomics landscape of overall, and common cancers is still limited. Based on a cohort of 83,290 participants from the UK Biobank, we used multivariate Cox regression to assess the associations between each of the 168 metabolites with the risks of overall cancer and 20 specific types of cancer. Then, we applied LASSO to identify important metabolites for overall cancer risk and obtained their associations using multivariate cox regression. We further conducted mediation analysis to evaluate the mediated role of metabolites in the effects of traditional factors on overall cancer risk. Finally, we included the 13 identified metabolites as predictors in prediction models, and compared the accuracies of our traditional models. We found that there were commonalities among the metabolic profiles of overall and specific types of cancer: the top 20 frequently identified metabolites for 20 specific types of cancer were all associated with overall cancer; most of the specific types of cancer had common identified metabolites. Meanwhile, the associations between the same metabolite with different types of cancer can vary based on the site of origin. We identified 13 metabolic biomarkers associated with overall cancer, and found that they mediated the effects of traditional factors. The accuracies of prediction models improved when we added 13 identified metabolites in models. This study is helpful to understand the metabolic mechanisms of overall and a wide range of cancers, and our results also indicate that NMR metabolites are potential biomarkers in cancer diagnosis and prevention.

PMID:38430541 | DOI:10.1002/ijc.34884

Categories
Nevin Manimala Statistics

Sexual behavior and perceived risk for oropharyngeal cancer among men who have sex with men: A psychometric scale validation

Sex Transm Dis. 2024 Mar 2. doi: 10.1097/OLQ.0000000000001923. Online ahead of print.

ABSTRACT

BACKGROUND: Men who have sex with men (MSM) are at increased risk for human papillomavirus-associated oropharyngeal cancer (HPV-OPC). The objective of this analysis was to create a psychometrically validated scale to measure perception of risk for HPV-OPC.

METHODS: We conducted an exploratory and a confirmatory factor analysis to determine and confirm the latent factor structure. We used a path diagram to evaluate the relationship between the validated scale and perceived risk for HPV-OPC. The model was determined to be a good fit if it met all criteria: Root Mean Square Error of Approximation (RMSEA) ≤0.06; Standardized Root Mean Residual (SRMR) ≤0.08; Comparative Fit Index (CFI) ≥0.90 and Tucker-Lewis Index (TLI) ≥0.90. We report standardized estimates and 95% confidence intervals.

RESULTS: This cross-sectional study recruited 1315 MSM. A majority (73.33%) of MSM had performed fellatio on ≥20 partners, 36.98% had rimmed ≥20 partners, and 5.31% had performed cunnilingus on ≥10 partners in their lifetime.Six sexual history survey items loaded onto two latent factors: Sexual risk behaviors: class 1 and sexual risk behaviors: class 2. The final model statistics indicated good fit: RMSEA = 0.064, SRMR = 0.059, CFI = 0.996, and TLI = 0.993. Sexual risk behaviors: class 1 was associated with greater perceived risk for HPV-OPC (0.217, 95% CI: 0.138-0.295). Age, HIV status, HPV vaccination status, and sexual risk behaviors: class 2 were not associated with perceived risk for HPV-OPC.

CONCLUSION: MSM assessed risk for HPV-OPC based upon their lifetime number of cisgender male sexual partners, rimming partners, and fellatio partners but not other sexual behaviors. MSM may be responsive to future HPV-OPC educational interventions and opportunities for screening.

PMID:38430512 | DOI:10.1097/OLQ.0000000000001923

Categories
Nevin Manimala Statistics

Health literacy and its association with mental and spiritual well-being among women experiencing homelessness

Health Promot Int. 2024 Apr 1;39(2):daae019. doi: 10.1093/heapro/daae019.

ABSTRACT

Low health literacy (HL) has been linked to low self-rated health, reduced efficacy of behaviour change, and challenges in preventing, treating, or managing health conditions. People experiencing homelessness are at risk of poor HL; however, few studies have investigated HL in relation to mental and spiritual well-being among people experiencing homelessness in general, or women experiencing homelessness specifically. This cross-sectional study of 46 women experiencing homelessness in Stockholm, Sweden, recruited during the period October 2019-December 2020, aimed to examine how HL was associated with mental and spiritual well-being among women experiencing homelessness. Participants answered questions about socio-demographic characteristics (age, length of homelessness, education) and digital technology (mobile phone/the Internet) use, in addition to Swedish language versions of three questionnaires administered through structured, face-to-face interviews: the Communicative and Critical Health Literacy Scale, the General Health Questionnaire 12 and the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being. Data were analysed using linear regression, which revealed statistically significant associations between HL and mental well-being (p = .009), and between HL and spiritual well-being (p = .022). However, neither socio-demographic characteristics nor digital technology use were significantly associated with HL. In conclusion, promoting HL may improve mental and spiritual well-being in this vulnerable population. An advisory board of women with lived experiences of homelessness (n = 5) supported the interpretation of the findings and emphasised the need to consider HL in relation to basic needs such as ‘housing first’. Moreover, health information and services should be accessible to people with different degrees of HL.

PMID:38430507 | DOI:10.1093/heapro/daae019

Categories
Nevin Manimala Statistics

How Do Physicians and Nurse Practitioners Perceive the Title Change from Physician Assistant to Physician Associate?

J Allied Health. 2024 Spring;53(1):e49-e53.

ABSTRACT

OBJECTIVE: The main goal of this study was to assess physicians’ and nurse practitioners’ (NPs) perception of the title change from physician assistant (PA) to physician associate.

METHODS: Hospital medicine physicians and NPs were surveyed via a REDCap survey that was created by the researcher. Participants were recruited via emails that were sent to Northwell Health providers as part of a convenience sampling. Statistical analysis using a one-way ANOVA was performed to compare the effect of professional credentials on perception and support for the title change.

RESULTS: There were a total of 103 participants, with a response rate for NPs of 22% and physicians of 27%. Analysis revealed that 73% of physicians and NPs surveyed did not think that PAs changing their title to physician associate would affect their perceptions of PAs.

CONCLUSION: There are some reservations about the title change, but overall PAs changing their title to physician associate will not affect the perception of PAs by their peers/colleagues at Northwell Health.

PMID:38430504

Categories
Nevin Manimala Statistics

Student Perceived Confidence with Complex Patients Before and After a Simulated Case-Based Course

J Allied Health. 2024 Spring;53(1):e27-e35.

ABSTRACT

PURPOSE: This study compared Doctor of Physical Therapy students’ perceived confidence with evaluating/treating complex patients before and after a case-based patient management course. The impact of simulated learning and prior clinical exposure were explored.

METHODS: A longitudinal, pretest-posttest design was used across 4 university campuses. A Physiotherapist Self-Efficacy survey was used to collect student responses before/after the course, related to adequate preparation, verbal/written communication, subjective/objective assessments, interpreting assessment findings, identifying/prioritizing patient problems, selecting appropriate short/long term goals, performing/evaluating treatments, discharge planning, progressing interventions, and dealing with a range of patient conditions. Descriptive statistics, paired sample t-tests, ANOVA tests, and conceptual content analyses were completed.

RESULTS: Eighty surveys were completed (13.88% response rate). Posttest confidence levels were higher compared to pretest values in all survey items. The t-statistics indicated a significant difference (p<0.001) between the pretest/posttest scores across all 80 records. Levene’s statistic revealed p-values >0.001, indicating we met the assumption of homogeneity of variance across different cohort groups.

CONCLUSIONS: Student confidence levels towards complex patients significantly improved after course exposure, for all survey components in all cohorts. Simulated experiences, supplemental course materials, and prior outpatient clinical experience contributed to self-efficacy values. Six themes were identified as useful and/or needing revision to further improve self-efficacy.

PMID:38430501

Categories
Nevin Manimala Statistics

Endovascular aortic repair in patients with marfan and Loeys-Dietz syndrome is safe and durable when employed by a multi-disciplinary aortic team

Eur J Cardiothorac Surg. 2024 Mar 2:ezae069. doi: 10.1093/ejcts/ezae069. Online ahead of print.

ABSTRACT

OBJECTIVES: The aim of this study was to report on mid-term outcomes after endovascular aortic repair in patients with Marfan (MFS) or Loeys-Dietz (LDS) syndrome.

METHODS: We analyzed data from two European centers of patients with MFS and LDS undergoing endovascular aortic repair. Patients were analyzed based on (1) timing of the procedure (planned vs emergency procedure) and (2) the nature of the landing zone (safe vs non-safe). The primary end-point was freedom from reintervention. Secondary end-points were freedom from stroke, bleeding and death.

RESULTS: A population of 419 patients with MFS (n = 352) or LDS (n = 67) was analyzed for the purpose of this study. Thirty-nine patients (9%) underwent endovascular aortic repair. Indications for TEVAR or EVAR were aortic dissection in 13 (33%) patients, aortic aneurysm in 22 (57%) patients and others (intercostal patch aneurysm, penetrating atherosclerotic ulcer, pseudoaneurysm, kinking of FET) in 4 (10%) patients. Thoracic endovascular repair was performed in 34 patients, abdominal endovascular aortic repair was performed in 5 patients. Mean age at 1st TEVAR/EVAR was 48.5 ± 15.4y. Mean follow-up after 1st TEVAR/EVAR was 5.9 ± 4.4 y. There was no statistically significant difference in the rate of re-interventions between patients with non-safe landing zone and the patients with safe proximal landing zone (P = 0.609). Furthermore, there was no increased probability for reintervention after planned endovascular intervention compared to emergency procedures (P = 0.916). Mean-time to reintervention, either open surgical or endovascular, after planned endovascular intervention was in median 3.9 y [95% CI 2.0-5.9y] and 2.0 y [95% CI -1.1-5.1y] (P = 0.23) after emergency procedures.

CONCLUSIONS: Endovascular aortic repair in patients with MFS and LDS and a safe landing zone is feasible and safe. Endovascular treatment is a viable option when employed by a multi-disciplinary aortic team even if the landing zone is in native tissue.

PMID:38430465 | DOI:10.1093/ejcts/ezae069

Categories
Nevin Manimala Statistics

Information-incorporated gene network construction with FDR control

Bioinformatics. 2024 Mar 2:btae125. doi: 10.1093/bioinformatics/btae125. Online ahead of print.

ABSTRACT

MOTIVATION: Large-scale gene expression studies allow gene network construction to uncover associations among genes. To study direct associations among genes, partial correlation-based networks are preferred over marginal correlations. However, FDR control for partial correlation-based network construction is not well-studied. In addition, currently available partial correlation-based methods cannot take existing biological knowledge to help network construction while controlling FDR.

RESULTS: In this paper, we propose a method called Partial Correlation Graph with Information Incorporation (PCGII). PCGII estimates partial correlations between each pair of genes by regularized node-wise regression that can incorporate prior knowledge while controlling the effects of all other genes. It handles high-dimensional data where the number of genes can be much larger than the sample size and controls FDR at the same time. We compare PCGII with several existing approaches through extensive simulation studies and demonstrate that PCGII has better FDR control and higher power. We apply PCGII to a plant gene expression dataset where it recovers confirmed regulatory relationships and a hub node, as well as several direct associations that shed light on potential functional relationships in the system. We also introduce a method to supplement observed data with a pseudogene to apply PCGII when no prior information is available, which also allows checking FDR control and power for real data analysis.

AVAILABILITY: R package is freely available for download at https://cran.r-project.org/package=PCGII.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

PMID:38430463 | DOI:10.1093/bioinformatics/btae125

Categories
Nevin Manimala Statistics

Can digital finance development drive green transformation in manufacturing? Evidence from China

Environ Sci Pollut Res Int. 2024 Mar 2. doi: 10.1007/s11356-024-32402-1. Online ahead of print.

ABSTRACT

Digital finance is a product of emerging technology-enabled innovation in financial services and has a critical impact on the green transformation of the manufacturing industry. We propose a new efficiency measurement model based on the slacks-based measure (SBM) to measure the efficiency of green transformation on regional manufacturing. Chinese interprovincial data from 2010 to 2019 were obtained for the study. In addition, we estimated the effect of digital finance on green transformation of manufacturing using a benchmark panel model. Finally, considering the regional heterogeneity and spatial effects of green transformation efficiency in the manufacturing industry, we constructed a spatial Durbin model based on an economic-geographic nested spatial weight matrix to analyze the spatial influence of digital finance on green transformation in the manufacturing industry. The results show that the green transformation of the manufacturing industry has significant positive spatial spillover effects owing to the existence of competition, demonstration, and economic correlation effects among regions.

PMID:38430442 | DOI:10.1007/s11356-024-32402-1

Categories
Nevin Manimala Statistics

Optimal selection of healthcare waste treatment devices using fuzzy-rough approach

Environ Sci Pollut Res Int. 2024 Mar 2. doi: 10.1007/s11356-024-32630-5. Online ahead of print.

ABSTRACT

The escalating volume of healthcare waste (HCW) generated by healthcare facilities poses a pressing challenge for all nations. Adequate management and disposal of this waste are imperative to mitigate its adverse impact on human lives, wildlife, and the environment. Addressing this issue in Bosnia and Herzegovina involves the establishment of a regional center dedicated to HCW management. In practice, there are various treatments available for HCW management. Therefore, it is necessary to determine the priority for procuring different treatments during the formation of this center. To assess these treatment devices, expert decision-making employed the fuzzy-rough approach. By leveraging extended sustainability criteria, experts initially evaluated the significance of these criteria and subsequently assessed the devices for HCW treatment. Employing the fuzzy-rough LMAW (Logarithm Methodology of Additive Weights), the study determined the importance of criteria, highlighting “Air emissions” and “Annual usage costs” as the most critical factors. Utilizing the fuzzy-rough CoCoSo (the Combined Compromise Solution) method, six devices employing incineration or sterilization for HCW treatment were ranked. The findings indicated that the “Rotary kiln” and “Steam disinfection” emerged as the most favorable devices for HCW treatment based on this research. This conclusion was validated through comparative and sensitivity analyses. This research contributes by proposing a solution to address Bosnia and Herzegovina’s HCW challenge through the establishment of a regional center dedicated to HCW management.

PMID:38430441 | DOI:10.1007/s11356-024-32630-5

Categories
Nevin Manimala Statistics

Biodiesel production and exploring properties of Datura stramonium L. oil with its optimization using combined approaches-Taguchi, grey relational analysis, and response surface methodology

Environ Sci Pollut Res Int. 2024 Mar 2. doi: 10.1007/s11356-024-32665-8. Online ahead of print.

ABSTRACT

Biodiesel production through the synthesis of Datura stramonium L. oil is studied to explore the most efficient approaches to suggest an alternate feedstock for biodiesel production. The main objective of this work is to optimize the process variables of biodiesel synthesis by using some statistical approach (Taguchi method, grey relational analysis (GRA), and response surface methodology (RSM) analyzing three parameters, i.e., alcohol-to-oil molar ratio, catalyst (NaOH) concentration, and process temperature for achieving maximum biodiesel derived from Datura stramonium L. oil. The transesterification process is applied by using an ultrasonic-assisted technique. Grey relational analysis (GRA) was successfully applied with the Taguchi method resulting in the optimum combination of A2B1C1. Based on the findings, the best operating conditions for transesterifying are attained with the RSM approach consisting of a 5.697:1 molar ratio (level 2), 0.3 (wt.%) NaOH concentration (level 1), and 70 °C process temperature (level 1). With a value of 87.02%, these ideal operating conditions produce the maximum yield as compared to grey relational analysis (GRA) yields 83.99%. The obtained results have been verified through the characterization of oil and biodiesel as well. Also, the fuel qualities of DSL biodiesel were identified and assessed. DSL oil was found 137.6 degrees of unsaturation during fatty acid profile analysis. DSL biodiesel was found the best kinematic viscosity (4.2 mm2/s) and acid value (0.49) when compared to Karanja and palm biodiesel. D. stramonium L. was recognized as a suitable species for biodiesel feedstock according to the findings.

PMID:38430436 | DOI:10.1007/s11356-024-32665-8