Category: Nevin Manimala

J Magn Reson Imaging. 2024 May 10. doi: 10.1002/jmri.29447. Online ahead of print.

ABSTRACT

BACKGROUND: Accurate determination of human epidermal growth factor receptor 2 (HER2) is important for choosing optimal HER2 targeting treatment strategies. HER2-low is currently considered HER2-negative, but patients may be eligible to receive new anti-HER2 drug conjugates.

PURPOSE: To use breast MRI BI-RADS features for classifying three HER2 levels, first to distinguish HER2-zero from HER2-low/positive (Task-1), and then to distinguish HER2-low from HER2-positive (Task-2).

STUDY TYPE: Retrospective.

POPULATION: 621 invasive ductal cancer, 245 HER2-zero, 191 HER2-low, and 185 HER2-positive. For Task-1, 488 cases for training and 133 for testing. For Task-2, 294 cases for training and 82 for testing.

FIELD STRENGTH/SEQUENCE: 3.0 T; 3D T1-weighted DCE, short time inversion recovery T2, and single-shot EPI DWI.

ASSESSMENT: Pathological information and BI-RADS features were compared. Random Forest was used to select MRI features, and then four machine learning (ML) algorithms: decision tree (DT), support vector machine (SVM), k-nearest neighbors (k-NN), and artificial neural nets (ANN), were applied to build models.

STATISTICAL TESTS: Chi-square test, one-way analysis of variance, and Kruskal-Wallis test were performed. The P values <0.05 were considered statistically significant. For ML models, the generated probability was used to construct the ROC curves.

RESULTS: Peritumoral edema, the presence of multiple lesions and non-mass enhancement (NME) showed significant differences. For distinguishing HER2-zero from non-zero (low + positive), multiple lesions, edema, margin, and tumor size were selected, and the k-NN model achieved the highest AUC of 0.86 in the training set and 0.79 in the testing set. For differentiating HER2-low from HER2-positive, multiple lesions, edema, and margin were selected, and the DT model achieved the highest AUC of 0.79 in the training set and 0.69 in the testing set.

DATA CONCLUSION: BI-RADS features read by radiologists from preoperative MRI can be analyzed using more sophisticated feature selection and ML algorithms to build models for the classification of HER2 status and identify HER2-low.

TECHNICAL EFFICACY: Stage 2.

PMID:38726477 | DOI:10.1002/jmri.29447

J Am Coll Emerg Physicians Open. 2024 May 8;5(3):e13174. doi: 10.1002/emp2.13174. eCollection 2024 Jun.

ABSTRACT

OBJECTIVES: Earlier electrocardiogram (ECG) acquisition for ST-elevation myocardial infarction (STEMI) is associated with earlier percutaneous coronary intervention (PCI) and better patient outcomes. However, the exact relationship between timely ECG and timely PCI is unclear.

METHODS: We quantified the influence of door-to-ECG (D2E) time on ECG-to-PCI balloon (E2B) intervention in this three-year retrospective cohort study, including patients from 10 geographically diverse emergency departments (EDs) co-located with a PCI center. The study included 576 STEMI patients excluding those with a screening ECG before ED arrival or non-diagnostic initial ED ECG. We used a linear mixed-effects model to evaluate D2E’s influence on E2B with piecewise linear terms for D2E times associated with time intervals designated as ED intake (0-10 min), triage (11-30 min), and main ED (>30 min). We adjusted for demographic and visit characteristics, past medical history, and included ED location as a random effect.

RESULTS: The median E2B interval was longer (76 vs 68 min, p < 0.001) in patients with D2E >10 min than in those with timely D2E. The proportion of patients identified at the intake, triage, and main ED intervals was 65.8%, 24.9%, and 9.7%, respectively. The D2E and E2B association was statistically significant in the triage phase, where a 1-minute change in D2E was associated with a 1.24-minute change in E2B (95% confidence interval [CI]: 0.44-2.05, p = 0.003).

CONCLUSION: Reducing D2E is associated with a shorter E2B. Targeting D2E reduction in patients currently diagnosed during triage (11-30 min) may be the greatest opportunity to improve D2B and could enable 24.9% more ED STEMI patients to achieve timely D2E.

PMID:38726468 | PMC:PMC11079543 | DOI:10.1002/emp2.13174

NPJ Nat Hazards. 2024;1(1):7. doi: 10.1038/s44304-024-00006-x. Epub 2024 May 7.

ABSTRACT

A new time-dependent probabilistic tsunami risk model is developed to facilitate the long-term risk management strategies for coastal communities. The model incorporates the time-dependency of earthquake occurrence and considers numerous heterogeneous slip distributions via a stochastic source modeling approach. Tidal level effects are examined by considering different baseline sea levels. The model is applied to Tofino, British Columbia, Canada within the Cascadia subduction zone. High-resolution topography and high-quality exposure data are utilized to accurately evaluate tsunami damage and economic loss to buildings. The results are tsunami loss curves accounting for different elapsed times since the last major event. The evolutionary aspects of Tofino’s time-dependent tsunami risk profiles show that the current tsunami risk is lower than the tsunami risk based on the conventional time-independent Poisson occurrence model. In contrast, the future tsunami risk in 2100 will exceed the time-independent tsunami risk estimate.

PMID:38726463 | PMC:PMC11076221 | DOI:10.1038/s44304-024-00006-x

Food Sci Nutr. 2024 Feb 25;12(5):3080-3096. doi: 10.1002/fsn3.4000. eCollection 2024 May.

ABSTRACT

Consumption of plum does not yet clearly affect the lipid profile. To ascertain the advantages of plum consumption on adult lipid profiles, we conducted a systematic review and meta-analysis. We used pertinent keywords to search the databases of PubMed, Scopus, and ISI Web of Science up to November 10th, 2022, in order to find trials that were eligible. According to the analyses, eating plum significantly lowers LDL levels compared to controls (WMD: -12.50 mg/dL, 95% CI: -22.06, -2.94, p = .010). Although plum consumption did not result in significant changes in TG (WMD: 0.56 mg/dL, 95% CI: -6.02, 7.15, p = .866), TC (WMD: -12.35 mg/dL, 95% CI: -25.05, 0.37, p = .057), and HDL concentrations (WMD: -0.39 mg/dL, 95% CI: -4.69, 3.89, p = .855) compared to the control group. Intake of plums, particularly the intervention type of dried plums, significantly decreased TC levels in unhealthy subjects, according to subgroup analysis. The consumption of plums had a notably statistically significant effect on LDL levels when the intervention type was dried plum and unhealthy subjects were enrolled. Due to the very low to moderate quality of meta-evidence, to show how eating plum improves lipid profile, further high-quality research are still essential.

PMID:38726435 | PMC:PMC11077222 | DOI:10.1002/fsn3.4000

J Pregnancy. 2024 May 2;2024:1474213. doi: 10.1155/2024/1474213. eCollection 2024.

ABSTRACT

Background: The early postnatal period is defined as the first 48 h to 7 days after delivery. The early postnatal visit is especially the most critical time for the survival of mothers and newborns, particularly through early detection and management of postpartum complications. Despite the benefits, most mothers and newborns do not receive early postnatal care services from healthcare providers during the critical first few days after delivery. Objectives: This study is aimed at assessing the prevalence of early postnatal care utilization and associated factors among mothers who gave birth within the last 6 weeks in Hosanna town, Southern Ethiopia, from April 20 to May 30, 2022. Method: A community-based cross-sectional study was conducted in Hadiya Zone, Hosanna town, Southern Ethiopia. A simple random sample technique was used to recruit 403 mothers who had given birth in the previous 6 weeks from a family folder. Data was collected through face-to-face interviews using a standardized questionnaire. Binary logistic regression was used to assess the association between outcomes and explanatory variables, and the strength of the association was interpreted using an odds ratio with a 95% confidence interval. In our study, p values of 0.05 were considered statistically significant. Results: The prevalence of early postnatal care utilization among mothers who gave birth within 1 week of the study area was 25.8% (95% CI: 21.7-30.0). No formal and primary educational level of husband (AOR = 0.05, 95% CI: [0.02, 0.16]), antenatal care follow-up (AOR = 2.13, 95% CI: [1.11, 4.1]), length of hospital stay before discharge (≥24 h) (AOR = 0.3, 95% CI: [0.16, 0.55]), and information about early postnatal care utilization (AOR = 3.08, 95% CI: [1.72, 5.52]) were factors significantly associated with early postnatal care utilization. Conclusion: In comparison to World Health Organization standards, the study’s overall prevalence of early postnatal care utilization was low. Early postnatal care use was significantly associated with antenatal care follow-up, the husband’s educational level, knowledge of early postnatal care use, and length of stay at the health institution following birth. As a result, the strength of health facilities is to improve service provision, information education, and communication.

PMID:38726388 | PMC:PMC11081751 | DOI:10.1155/2024/1474213

BMC Pediatr. 2024 May 9;24(1):280. doi: 10.1186/s12887-024-04721-2.

ABSTRACT

BACKGROUND: The issue of Infant and Young Child Feeding practices was widespread; it was estimated that infants were not exclusively breastfed in the first six months of life. Complementary foods were frequently provided too soon or too late, and they were often nutritionally deficient. Even, there are nutrition-sensitive activities like irrigation schemes, evidence on infant and young child feeding practices between irrigated and non-irrigated areas is scarce or limited.

OBJECTIVE: To assess the prevalence of infant and young child feeding practices among 0-23 months of age children in irrigated and non-irrigated areas of Dangila District, North-west Ethiopia, 2020.

METHODS: A community based comparative cross-sectional study was conducted from Dec 1, 2020, to Jun 1, 2020. A stratified sampling technique was implemented to select 823 mothers with children age 0-23 months from irrigated (411) and non-irrigated (412) kebeles. Data were collected using structured questionnaires. Multivariable logistic regression was used to identify the associated factors of infant and young child feeding practice. Adjusted odds ratios with a 95% CI were used to determine the degree of association between the independent and outcome variables. A p-value < 0.05 was used as a cutoff point to declare statistically significant variables with the outcome variable.

RESULTS: Among 823 households visited, 802 respondents with a response rate of 97.8% in irrigated and 96.11% in non-irrigated areas gave complete responses. The overall prevalence of good IYCF practice was 62.5% (95% CI: 34.2, 41.3), and it shows a significant difference between irrigated (72.2%) and non-irrigated areas (52.8%). Moreover, the study identified that education primary and above (AOR = 1.889, 95% CI: 1.38, 2.648) knowledge above mean (AOR = 2.347, 95% CI: 1.555, 3.542), positive attitude (AOR = 1.716, 95% CI: 1.139, 2.587), PNC follow-up (AOR = 1.606, 95% CI: 1.154, 2.360), women’s decision-making power (AOR = 1.840, 95% CI: 1.226, 2.763), and multiple delivery (AOR = 0.352, 95% CI: 0.213, 0.583) were significant factors for IYCF among 0-23 month-old children.

CONCLUSION AND RECOMMENDATIONS: The infant and young child feeding practice among 0-23 month-old children was better in an irrigated area than in a non-irrigated area. Promoting irrigation practices, empowering women, and strengthening postnatal care are recommended interventions to increase infant, young, and child feeding practices in the study area.

PMID:38725002 | DOI:10.1186/s12887-024-04721-2

BMC Chem. 2024 May 9;18(1):90. doi: 10.1186/s13065-024-01189-0.

ABSTRACT

An electroanalytical methodology was developed by direct differential pulse voltammetric (DPV) measurement of Levodopa (LD), Carbidopa (CD) and Entacapone (ENT) mixture using bare glassy carbon electrode (GCE) in Britton Robinson (BR) buffer (pH = 2.0). A multivariate calibration model was then applied to the exported preprocessed voltammetric data using partial least square (PLS) as a chemometric tool. Additionally, the model was cross-validated and the number of latent variables (LVs) were determined to produce a reliable model for simultaneous quantitation of the three drugs either in their synthetic mixtures or in their marketed pharmaceutical formulation with high accuracy and precision. Data preprocessing was used to tackle the problem of lacking bi-linearity which is commonly found in electrochemical data. The proposed chemometric model was able to provide fast and reliable technique for quantitative determination of antiparkinson drugs in their dosage forms. This was successfully achieved by utilizing sixteen mixtures as calibration set and nine mixtures as validation set. The percent recoveries for LD, CD and ENT were found to be 100.05% ± 1.28%, 100.04% ± 0.53% and 99.99% ± 1.25%, respectively. The obtained results of the proposed method were statistically compared to those of a previously reported High Performance Liquid Chromatography (HPLC) methodology. Finally, the presented analytical method strongly supports green analytical chemistry regarding the minimization of potentially dangerous chemicals and solvents, as well as reducing energy utilization and waste generation.

PMID:38725000 | DOI:10.1186/s13065-024-01189-0

BMC Public Health. 2024 May 9;24(1):1272. doi: 10.1186/s12889-024-18777-3.

ABSTRACT

BACKGROUND: Zoonotic infections are a recognised risk for the veterinary community. Veterinary students are at risk, due to the range of activities they participate with on training coupled with their inexperience; yet the prevalence and severity of infections in veterinary students has been little studied. In this study, a survey explored zoonotic infections in UK and Irish veterinary students.

METHODS: A survey containing both open and closed questions, was distributed to undergraduate veterinary students at all veterinary schools in the UK and Republic of Ireland. Descriptive statistics, and univariable logistic regression were used to explore quantitative data; thematic analysis was used to explore qualitative data.

RESULTS: There were 467 responses, 31.5% (95% CI 27.3-35.9, n = 147) of those students reported having contracted at least one zoonotic infection during their studies. The most prevalent self-reported infections were cryptosporidiosis (15.2% of all respondents), dermatophytosis (5.6%), and other gastrointestinal infections assumed to be of zoonotic origin (4.5%). 7% of respondents reported having acquired a zoonosis within the last 12 months, 91% of these infections were acquired during farm placements. Thematic analysis (n = 34) showed that infection was an accepted risk, particularly on farm, and students were often reluctant to take time off their studies or placements as a result of infection. Reporting was very low, meaning universities would not have accurate figures on infection risk or particularly risky placement providers.

CONCLUSIONS: Based on these survey results, veterinary students appear to be at increased risk of contracting zoonotic diseases, particularly on farm placements. Attitude and behaviour change at multiple levels is required to reduce the risk of infection to students and normalise reporting of illness.

PMID:38724984 | DOI:10.1186/s12889-024-18777-3

BMC Nurs. 2024 May 9;23(1):292. doi: 10.1186/s12912-024-01972-3.

ABSTRACT

BACKGROUND: In low-and middle-income countries inadequate neonatal pain management persists as a significant public health issue despite the availability of guidelines. Newborns often experience pain from routine medical and surgical procedures, with limited nurses’ knowledge and suboptimal practices posing common obstacles to effective neonatal pain management in hospital settings. Hence, this study aimed to evaluate nurses’ knowledge and practices related to neonatal pain management and the factors influencing them in public hospitals in West Oromia, Ethiopia, in 2022.

METHODS: A multicenter cross-sectional study was conducted among 203 nurses working in public hospitals in West Oromia from 8th May-6th June 2022. Data was gathered using structured, self-administered questionnaire and sampled through simple random sampling. The collected data were coded and entered into a computer using Epi-Data version 4.6 Statistical Software. They were analyzed using the Statistical Package for Social Science (SPSS; IBM Corporation) version 26. Binary logistic regression was used to identify significant independent variables at p < 0.05.

FINDINGS: In this study, 127 (62.6%) exhibited adequate knowledge, while 33 (16.3%) nurses demonstrated good practice in neonatal pain management. Attending lectures or receiving training about neonatal pain management was found to be significantly associated with nurses’ knowledge of neonatal pain management [AOR, 2.31, 95%CI; 1.29-4.27]. On the other, having adequate knowledge of neonatal pain management [AOR, 3.3, 95%CI; 1.14-9.32]; the presence of a pain management policy in place [AOR, 5.44, 95% CI; 1.92-15.37] and attending lectures on neonatal pain management [AOR, 2.55, 95% CI; 1.09-5.97] were found to be significantly associated to nurses’ practices.

CONCLUSION: Given the substandard level of nurses’ practice in neonatal pain management. It is suggested to enhance the nurses’ knowledge and practice about neonatal pain management by providing refreshment courses, training sessions, or facilitating nurses’ opportunity access to reading resources about neonatal pain management.

PMID:38724983 | DOI:10.1186/s12912-024-01972-3