Categories
Nevin Manimala Statistics

Clinical and experimental study of a terahertz time-domain system for the determination of the pathological margins of laryngeal carcinoma

World J Surg Oncol. 2022 Oct 12;20(1):339. doi: 10.1186/s12957-022-02788-8.

ABSTRACT

OBJECTIVE: Laryngeal cancer is a common malignancy in otorhinolaryngological head and neck surgery, accounting for approximately one-third of all head and neck malignancies. Terahertz time-domain spectroscopy (THz-TDS) has recently been found to be useful for the detection of tumors. This study was conducted to investigate the application of THz-TDS in the diagnosis of pathological resection margins of laryngeal cancer.

METHODS: Fresh laryngeal cancer tissues from 10 patients with laryngeal cancer were extracted, and after simultaneous HE staining and terahertz imaging, the tumor area, paracancerous area, and normal tissue area of each laryngeal cancer tissue sample were located under a microscope according to the pathological results of HE staining.

RESULTS: The shape contours of the tumor region revealed by terahertz imaging maps and HE staining were similar. In the terahertz spectrum in the frequency range of 0.5-1.9 THz, both the absorption coefficient and refractive index values followed the order tumor > para cancer > normal tissue, with statistically significant differences (P < 0.01). When the terahertz frequency was 1.5 THz, the absorption coefficient of terahertz light waves by laryngeal cancer tissue and the percentage of nuclei showed an extremely high positive correlation (P < 0.01, r = 0.971). In the frequency ranges of 0.5-1.2 THz and 1.6-1.9 THz, the absorption coefficients of the highly differentiated group were higher than those of the moderately differentiated group. In the frequency range of 1.2-1.6 THz, the results were reversed, with statistically significant differences (P < 0.05). In the frequency range of 0.5-1.9 THz, the highly differentiated group had a higher refractive index than the moderately differentiated group, with a statistically significant difference (P < 0.05).

CONCLUSIONS: THz-TDS can be used to determine the pathological margins of laryngeal cancer based on the absorption coefficient and refractive index, and the magnitudes of the absorption coefficient and refractive index are related to the percentage of nuclei. The degree of differentiation of laryngeal cancer tissue can be assessed by THz-TDS. The study shows that the terahertz time-domain system is promising for applications in the diagnosis of laryngeal cancer, especially for the more accurate identification of intraoperative margins.

PMID:36224600 | DOI:10.1186/s12957-022-02788-8

Categories
Nevin Manimala Statistics

Correction: Prevalence of burnout and associated factors among general practitioners in Hubei, China: a cross-sectional study

BMC Public Health. 2022 Oct 12;22(1):1897. doi: 10.1186/s12889-022-14050-7.

NO ABSTRACT

PMID:36224584 | DOI:10.1186/s12889-022-14050-7

Categories
Nevin Manimala Statistics

Impact of interactive multi-media learning for physicians in musculoskeletal education – a pilot study

BMC Med Educ. 2022 Oct 12;22(1):718. doi: 10.1186/s12909-022-03746-4.

ABSTRACT

BACKGROUND: The aim of this educational study was to investigate the use of interactive case-based modules relating to the screening and identification of early-stage inflammatory arthritis in both online technology (OLT) and paper (PF) formats with identical content.

METHODS: Forty learners from family medicine or rheumatology residency programs were recruited. Content pertaining to a “Sore Hands, Sore Feet” (SHSF) and Gait Arms Legs Spine (GALS) screening tool modules were selected, reviewed and developed based on a validated curriculum from the World Health Organization and Canadian Curriculum for MSK conditions. Both the SHSF module and GALS screening tool were assessed via a randomized control trial. Assessments were completed during an orientation with all learners; then prior to the intervention (T1); at the end of the module (T2) and 3 months following the modules (T3) to assess retention. Focus groups were conducted to determine learners’ satisfaction with the different learning formats. Baseline data was collated, and analysis performed after randomization into the PF (control) and OLT (experimental) groups. Repeated measures ANOVA was used for statistical analyses.

RESULTS: Forty participants were recruited and randomized into the PF or OLT group (n = 20 each). At 3 months, there were n = 31 participants for SHSF (PF n = 19, OLT n = 12) and n = 32 for GALS (PF n = 19, OLT n = 13). There was no significant difference between the OLT and PF groups in both analyses. A significant increase in scores from Pre- to Post-Module in SHSF (F (1, 18) = 24.62. p < .0001) and GALS (F (1, 30) = 40.08, p < .0001) were identified to suggest learning occurred with both formats. The repeated measures ANOVA to assess retention revealed a significant decrease in scores from Post-Module to Follow-up for both learning format groups for SHSF (F (1, 29) = 4.68. p = .039), and GALS (F (1, 30) = 18.27. p < .0001) suggesting 3 months may be too long to retain this educational information.

CONCLUSIONS: Both formats led to residents’ ability to screen, identify and initially manage inflammatory arthritis. The hypothesis is rejected because both OLT and PF groups demonstrated significant learning during the process regardless of format. It is important to emphasize that from T1 (pre-module) to T2 (post-module), the residents demonstrated learning regardless of group to which they were assigned. However, learning retention declined from T2 (post-module) to T3 (three-month follow-up). Regular review of knowledge may be required earlier than 3 months to retain information learned. This study may impact educational strategies in MSK health.

TRIAL REGISTRATION: This study did not involve “patients” rather learners and as such it was not registered.

PMID:36224574 | DOI:10.1186/s12909-022-03746-4

Categories
Nevin Manimala Statistics

Sexual dimorphism in the molecular mechanisms of insulin resistance during a critical developmental window in Wistar rats

Cell Commun Signal. 2022 Oct 12;20(1):154. doi: 10.1186/s12964-022-00965-6.

ABSTRACT

BACKGROUND: Insulin resistance (IR) is a condition in which the response of organs to insulin is impaired. IR is an early marker of metabolic dysfunction. However, IR also appears in physiological contexts during critical developmental windows. The molecular mechanisms of physiological IR are largely unknown in both sexes. Sexual dimorphism in insulin sensitivity is observed since early stages of development. We propose that during periods of accelerated growth, such as around weaning, at postnatal day 20 (p20) in rats, the kinase S6K1 is overactivated and induces impairment of insulin signaling in its target organs. This work aimed to characterize IR at p20, determine its underlying mechanisms, and identify whether sexual dimorphism in physiological IR occurs during this stage.

METHODS: We determined systemic insulin sensitivity through insulin tolerance tests, glucose tolerance tests, and blood glucose and insulin levels under fasting and fed conditions at p20 and adult male and female Wistar rats. Furthermore, we quantified levels of S6K1 phosphorylated at threonine 389 (T389) (active form) and its target IRS1 phosphorylated at serine 1101 (S1101) (inhibited form). In addition, we assessed insulin signal transduction by measuring levels of Akt phosphorylated at serine 473 (S473) (active form) in white adipose tissue and skeletal muscle through western blot. Finally, we determined the presence and function of GLUT4 in the plasma membrane by measuring the glucose uptake of adipocytes. Results were compared using two-way ANOVA (With age and sex as factors) and one-way ANOVA with post hoc Tukey’s tests or t-student test in each corresponding case. Statistical significance was considered for P values < 0.05.

RESULTS: We found that both male and female p20 rats have elevated levels of glucose and insulin, low systemic insulin sensitivity, and glucose intolerance. We identified sex- and tissue-related differences in the activation of insulin signaling proteins in p20 rats compared to adult rats.

CONCLUSIONS: Male and female p20 rats present physiological insulin resistance with differences in the protein activation of insulin signaling. This suggests that S6K1 overactivation and the resulting IRS1 inhibition by phosphorylation at S1101 may modulate to insulin sensitivity in a sex- and tissue-specific manner. Video Abstract.

PMID:36224569 | DOI:10.1186/s12964-022-00965-6

Categories
Nevin Manimala Statistics

Barriers to and facilitators of accessing HIV services for street-involved youth in Canada and Kenya

BMC Public Health. 2022 Oct 12;22(1):1901. doi: 10.1186/s12889-022-14290-7.

ABSTRACT

INTRODUCTION: UNICEF estimates that there are as many as 100 million street-involved youth (SIY) globally. Marginalized conditions put SIY at higher risk of HIV and adverse outcomes once HIV-positive. The objective of this analysis was to describe barriers and facilitators of accessing HIV prevention, testing, and treatment services as Phase I of an implementation study evaluating the use of peer navigators to increase access to HIV services.

METHODS: Semi-structured interviews, focus group discussions (FGD), and theatre testing were conducted with individuals who identify as SIY, health care providers, and community stakeholders living in Canada (Toronto, Montreal, London) and Kenya (Eldoret, Huruma, Kitale). Data were analyzed using a directed content approach, guided by the socio-ecological model (SEM).

RESULTS: Across the six sites were 195 participants: 64 SIY, 42 healthcare providers, and 97 community-based stakeholders. Barriers were identified at the societal (e.g. intersectional stigma and discrimination), public policy (e.g., inadequate access to basic needs, legal documentation, lack of health insurance, and limited community-based funding), institutional (e.g. lack of inclusive education and training, inadequate HIV educational outreach, and restrictive service provision), interpersonal (e.g., ineffective communication from healthcare providers), and intrapersonal levels (e.g. lack of trust and associated fear, low perception for healthcare, and lack of self-esteem). These contributed to limited HIV services utilization among SIY. Conversely, numerous facilitators were also identified at the public policy (e.g. affordable HIV services and treatment), institutional (e.g. available and accessible HIV prevention tools, HIV education and awareness programs, and holistic models of care), interpersonal level (e.g., systems navigation support, peer support, and personal relationships), and intrapersonal levels (e.g. self-efficacy) as positively supporting SIY access to HIV services.

CONCLUSION: Intersectional stigma was a critical barrier in all sites, and policies and programs that foster welcoming environments for youth from diverse backgrounds and living circumstances may be better able to respond to the HIV service needs of this high risk population. Social support and navigation services were reported to facilitate access to HIV services in all sites.

PMID:36224566 | DOI:10.1186/s12889-022-14290-7

Categories
Nevin Manimala Statistics

iSegMSI: An Interactive Strategy to Improve Spatial Segmentation of Mass Spectrometry Imaging Data

Anal Chem. 2022 Oct 12. doi: 10.1021/acs.analchem.2c01456. Online ahead of print.

ABSTRACT

Spatial segmentation is a critical procedure in mass spectrometry imaging (MSI)-based biochemical analysis. However, the commonly used unsupervised MSI segmentation methods may lead to inappropriate segmentation results as the MSI data is characterized by high dimensionality and low signal-to-noise ratio. This process can be improved by the incorporation of precise prior knowledge, which is hard to obtain in most cases. In this study, we show that the incorporation of partial or coarse prior knowledge from different sources such as reference images or biological knowledge may also help to improve MSI segmentation results. Here, we propose a novel interactive segmentation strategy for MSI data called iSegMSI, which incorporates prior information in the form of scribble-regularization of the unsupervised model to fine-tune the segmentation results. By using two typical MSI data sets (including a whole-body mouse fetus and human thyroid cancer), the present results demonstrate the effectiveness of the iSegMSI strategy in improving the MSI segmentations. Specifically, the method can be used to subdivide a region into several subregions specified by the user-defined scribbles or to merge several subregions into a single region. Additionally, these fine-tuned results are highly tolerant to the imprecision of the scribbles. Our results suggest that the proposed iSegMSI method may be an effective preprocessing strategy to facilitate the analysis of MSI data.

PMID:36223650 | DOI:10.1021/acs.analchem.2c01456

Categories
Nevin Manimala Statistics

Machine learning approach for obstructive sleep apnea screening using brain diffusion tensor imaging

J Sleep Res. 2022 Oct 12:e13729. doi: 10.1111/jsr.13729. Online ahead of print.

ABSTRACT

Patients with obstructive sleep apnea (OSA) show autonomic, mood, cognitive, and breathing dysfunctions that are linked to increased morbidity and mortality, which can be improved with early screening and intervention. The gold standard and other available methods for OSA diagnosis are complex, require whole-night data, and have significant wait periods that potentially delay intervention. Our aim was to examine whether using faster and less complicated machine learning models, including support vector machine (SVM) and random forest (RF), with brain diffusion tensor imaging (DTI) data can classify OSA from healthy controls. We collected two DTI series from 59 patients with OSA [age: 50.2 ± 9.9 years; body mass index (BMI): 31.5 ± 5.6 kg/m2 ; apnea-hypopnea index (AHI): 34.1 ± 21.2 events/h 23 female] and 96 controls (age: 51.8 ± 9.7 years; BMI: 26.2 ± 4.1 kg/m2 ; 51 female) using a 3.0-T magnetic resonance imaging scanner. Using DTI data, mean diffusivity maps were calculated from each series, realigned and averaged, normalised to a common space, and used to conduct cross-validation for model training and selection and to predict OSA. The RF model showed 0.73 OSA and controls classification accuracy and 0.85 area under the curve (AUC) value on the receiver-operator curve. Cross-validation showed the RF model with comparable fitting over SVM for OSA and control data (SVM; accuracy, 0.77; AUC, 0.84). The RF ML model performs similar to SVM, indicating the comparable statistical fitness to DTI data. The findings indicate that RF model has similar AUC and accuracy over SVM, and either model can be used as a faster OSA screening tool for subjects having brain DTI data.

PMID:36223645 | DOI:10.1111/jsr.13729

Categories
Nevin Manimala Statistics

Evaluation of HIV viral load turnaround time in Moshi, Tanzania

J Infect Dev Ctries. 2022 Sep 30;16(9):1500-1505. doi: 10.3855/jidc.14145.

ABSTRACT

INTRODUCTION: Viral load measurement is an important gold standard for monitoring anti-retroviral treatment among people living with human immunodeficiency virus. The optimal use of the viral load results for guiding antiretroviral therapy depends on timely availability of the results at the clinic. The objective of the current study was to evaluate the turnaround time and utilization of viral load results in the clinical decision process.

METHODOLOGY: This was a retrospective cohort study which involved patients receiving cART from 1 August 2018 to 31 January 2017 at three clinics in Tanzania. Data was extracted from patient files at the clinics and relevant records were kept at the viral load determining laboratory. The data were analysed with the Statistical Package for Social Sciences version 20.

RESULTS: 445 subjects had a viral load in test results and 88% had a viral load of > 1,000 copies/mL. The median duration on the current regimen was five years. Median time between the clinics receiving the results and communicating them to the patients was 40 days. Shorter turnaround time was observed for patients with virological failure (p = 0.003). A higher prevalence of virological failure was found in patients monitored at the Kilimanjaro Christian Medical Centre (KCMC) compared to the two primary health clinics (p = 0.04).

CONCLUSIONS: The median viral load turnaround time was longer than stipulated by the national Tanzanian guidelines. Interventions that may reduce viral load turn-around-time, including point of care viral load testing, are needed to optimise monitoring of anti-retroviral therapy.

PMID:36223627 | DOI:10.3855/jidc.14145

Categories
Nevin Manimala Statistics

Tuberculosis/HIV co-infection in Northeastern Brazil: Prevalence trends, spatial distribution, and associated factors

J Infect Dev Ctries. 2022 Sep 30;16(9):1490-1499. doi: 10.3855/jidc.16570.

ABSTRACT

INTRODUCTION: The objective was to analyze the prevalence trend, spatial distribution, and TB-HIV co-infection-associated factors in an endemic scenario for TB in Northeastern Brazil.

METHODS: An ecological and temporal series study was conducted based on secondary data obtained from the Brazilian Notifiable Diseases Information System between January 2008 and December 2019. The prevalence rates were determined for each year and the average for the period. Prais-Winsten regressions were used for temporal variation analysis, scanning techniques were used to detect spatial clusters, and the Poisson regression model was used to explore the factors associated with the outcome.

RESULTS: A total of 947 TB cases were reported, of which 501 (52.9%) underwent HIV testing, and of these, 73 were positive. The average prevalence was 20.0%, ranging from 1.5% in 2018 to 44.4% in 2009. A decreasing trend was found. Sixty-seven cases (92%) were geocoded, and two statistically significant (p < 0.005) high relative risk (RR) spatial clusters were detected. Statistically significant associations (p < 0.05) between the co-infection and variables such as male gender, living in the urban area, entry due to relapse, and case closure due to loss to follow-up were evidenced, and these variables constituted risk factors.

CONCLUSIONS: A decreasing prevalence of TB-HIV co-infection has been found, as well as a heterogeneous spatial distribution with the formation of spatial clusters in urban areas characterized by socio-spatial inequalities associated with clinical-epidemiological factors. Such findings provide subsidies for rethinking health care activities and improving public policies for vulnerable populations.

PMID:36223626 | DOI:10.3855/jidc.16570

Categories
Nevin Manimala Statistics

Survival of critically ill patients with COVID-19 pneumonia-a single-center experience

J Infect Dev Ctries. 2022 Sep 30;16(9):1424-1431. doi: 10.3855/jidc.16650.

ABSTRACT

INTRODUCTION: The aim of the study was to determine the survival probability of critically ill patients with COVID-19 infection who needed mechanical ventilation and to determine the efficacy of Tocilizumab use.

METHODOLOGY: The study was designed as a retrospective analysis of consecutive patients older than 18 years, treated in an intensive care unit. The criteria for admission to the intensive care unit was severe respiratory failure requiring mechanical ventilation. All patients received corticosteroid therapy (methylprednisolone 1-2 mg/kg). Tocilizumab was used at a dose of 8 mg/kg in patients with a severe form of the disease (onset, or developed ARDS), followed by cytokine storm (IL-6 ≥ 40 ng/L and CRP ≥ 50 mg/L).

RESULTS: 88 patients were included in the study. Intrahospital mortality was 48.86%. No statistically significant difference was observed between patients with and without tocilizumab therapy. In the group of patients in whom this therapy was applied, the values of intrahospital survival were 45.7%, while in the group without this therapy the probability of intrahospital survival was only 0.93%. The probability of survival in the group with noninvasive mechanical ventilation (NIV) was 94.7%, while in the group with invasive mechanical ventilation (IMV) 0.78%. The duration of symptoms before hospitalization (RR-1.088 CI 1.025-1.155, p < 0.05), as well as the duration of IMV (RR-0.906 CI 0.841-0.976, p < 0.05), were shown to be an independent predictor of poor outcome.

CONCLUSIONS: The mortality of patients with the most severe form of respiratory failure caused by COVID-19 infection remains high. Independent predictors of poor outcomes were needed for invasive mechanical ventilation and the duration of symptoms before hospitalization or late initiation of appropriate therapy.

PMID:36223617 | DOI:10.3855/jidc.16650