Category: Nevin Manimala

Sci Rep. 2023 Sep 23;13(1):15902. doi: 10.1038/s41598-023-42806-7.

ABSTRACT

Anemia is a common condition, but its causes are often unclear, especially in elderly adults. Erythropoietin (EPO) levels are known to be elevated in myelodysplastic syndrome and hematologic malignancies, but decreased in chronic benign anemia. This study aimed to investigate whether EPO levels could be used to identify underlying bone marrow diseases including malignancies, among elderly anemic patients with unclear etiology. This single centered retrospective study included patients presented with isolated anemia and had their EPO levels measured at their first visit. Patients were divided into two groups: bone marrow disease and benign etiologic anemia, based on observation and bone marrow test results. Out of 1180 patients reviewed, 81 patients with anemia of unclear etiology were identified, including 67 with benign anemia and 14 with bone marrow disease. Statistically significant difference in EPO levels between these two groups (P < 0.001) were observed. The receiver operating characteristic curve analysis showed that an EPO cut-off value of 36.4 mU/mL had a sensitivity and specificity of 92.8% and 94.0% for detecting underlying bone marrow disease, respectively. We suggest measuring serum EPO levels can aid in the early detection of benign anemia from bone marrow disease, including malignancies, with high sensitivity and specificity.

PMID:37741889 | DOI:10.1038/s41598-023-42806-7

Sci Rep. 2023 Sep 23;13(1):15882. doi: 10.1038/s41598-023-43012-1.

ABSTRACT

The study was conducted to determine thecorrelation between the selected measures of aerobic physical efficiency and changes in the temple surface temperature in response to light and heavy exercise. 25 physically active men aged 19-25 were recruited for the study. They performed a graded exercise test on a cycle ergometer to measure maximum power (Pmax) and a test verifying the value of maximum oxygen uptake (VO₂max). Then, two 3-min submaximal efforts with constant-intensity of 2.2 W·kgLBM^-1 and 5 W·kgLBM^-1, respectively were performed. During the constant-intensity efforts, the temperature of the temple surface was measured. Then, the difference between the temperature of the temple measured at the end of the exercise and the temperature measured at the beginning of the exercise was calculated (ΔT1-2.2, ΔT1-5, respectively). It was shown that ΔT1-2.2 correlated statistically significantly with VO₂max (ml·min^-1·kg^-1) (r = 0.49; p = 0.01) and Pmax (W·kg^-1) (r = 0.41, p = 0.04). Moreover, ΔT1-5 correlated statistically significantly with VO₂max (l·min^-1) (r = – 0.41; p = 0.04). Changes in body surface temperature in response to light exercise positively correlate with measurements of aerobic physical efficiency, such as VO₂max and Pmax. When the exercise intensity is high (5 W·kgLBM^-1), the correlation between exercise body temperature changes and VO₂max becomes negative.

PMID:37741888 | DOI:10.1038/s41598-023-43012-1

Sci Rep. 2023 Sep 23;13(1):15909. doi: 10.1038/s41598-023-42969-3.

ABSTRACT

The primary objective of this study is to delve into the application and validation of the Resistance Capacitance Optimization Algorithm (RCOA)-a new, physics-inspired metaheuristic optimization algorithm. The RCOA, intriguingly inspired by the time response of a resistance-capacitance circuit to a sudden voltage fluctuation, has been earmarked for solving complex numerical and engineering design optimization problems. Uniquely, the RCOA operates without any control/tunable parameters. In the first phase of this study, we evaluated the RCOA’s credibility and functionality by deploying it on a set of 23 benchmark test functions. This was followed by thoroughly examining its application in eight distinct constrained engineering design optimization scenarios. This methodical approach was undertaken to dissect and understand the algorithm’s exploration and exploitation phases, leveraging standard benchmark functions as the yardstick. The principal findings underline the significant effectiveness of the RCOA, especially when contrasted against various state-of-the-art algorithms in the field. Beyond its apparent superiority, the RCOA was put through rigorous statistical non-parametric testing, further endorsing its reliability as an innovative tool for handling complex engineering design problems. The conclusion of this research underscores the RCOA’s strong performance in terms of reliability and precision, particularly in tackling constrained engineering design optimization challenges. This statement, derived from the systematic study, strengthens RCOA’s position as a potentially transformative tool in the mathematical optimization landscape. It also paves the way for further exploration and adaptation of physics-inspired algorithms in the broader realm of optimization problems.

PMID:37741875 | DOI:10.1038/s41598-023-42969-3

Sci Rep. 2023 Sep 23;13(1):15894. doi: 10.1038/s41598-023-42780-0.

ABSTRACT

Understanding cancer staging in order to predict its progression is vital to determine its severity and to plan the most appropriate therapies. This task has attracted interest from different fields of science and engineering. We propose a computational model that predicts the evolution of cancer in terms of the intimate structure of the tissue, considering that this is a self-organised structure that undergoes transformations governed by non-equilibrium thermodynamics laws. Based on experimental data on the dependence of tissue configurations on their elasticity and porosity, we relate the cancerous tissue stages with the energy dissipated, showing quantitatively that tissues in more advanced stages dissipate more energy. The knowledge of this energy allows us to know the probability of observing the tissue in its different stages and the probability of transition from one stage to another. We validate our results with experimental data and statistics from the World Health Organisation. Our quantitative approach provides insights into the evolution of cancer through its different stages, important as a starting point for new and integrative research to defeat cancer.

PMID:37741864 | DOI:10.1038/s41598-023-42780-0

Sci Rep. 2023 Sep 23;13(1):15878. doi: 10.1038/s41598-023-39616-2.

ABSTRACT

The majority of soccer analysis studies investigates specific scenarios through the implementation of computational techniques, which involve the examination of either spatiotemporal position data (movement of players and the ball on the pitch) or event data (relating to significant situations during a match). Yet, only a few applications perform a joint analysis of both data sources despite the various involved advantages emerging from such an approach. One possible reason for this is a non-systematic error in the event data, causing a temporal misalignment of the two data sources. To address this problem, we propose a solution that combines the SwiftEvent online algorithm (Gensler and Sick in Pattern Anal Appl 21:543-562, 2018) with a subsequent refinement step that corrects pass timestamps by exploiting the statistical properties of passes in the position data. We evaluate our proposed algorithm on ground-truth pass labels of four top-flight soccer matches from the 2014/15 season. Results show that the percentage of passes within half a second to ground truth increases from 14 to 70%, while our algorithm also detects localization errors (noise) in the position data. A comparison with other models shows that our algorithm is superior to baseline models and comparable to a deep learning pass detection method (while requiring significantly less data). Hence, our proposed lightweight framework offers a viable solution that enables groups facing limited access to (recent) data sources to effectively synchronize passes in the event and position data.

PMID:37741829 | DOI:10.1038/s41598-023-39616-2

Nat Commun. 2023 Sep 23;14(1):5935. doi: 10.1038/s41467-023-41649-0.

ABSTRACT

Single-molecule Real-time Isoform Sequencing (Iso-seq) of transcriptomes by PacBio can generate very long and accurate reads, thus providing an ideal platform for full-length transcriptome analysis. We present an integrated computational toolkit named TAGET for Iso-seq full-length transcript data analyses, including transcript alignment, annotation, gene fusion detection, and quantification analyses such as differential expression gene analysis and differential isoform usage analysis. We evaluate the performance of TAGET using a public Iso-seq dataset and newly sequenced Iso-seq datasets from tumor patients. TAGET gives significantly more precise novel splice site prediction and enables more accurate novel isoform and gene fusion discoveries, as validated by experimental validations and comparisons with RNA-seq data. We identify and experimentally validate a differential isoform usage gene ECM1, and further show that its isoform ECM1b may be a tumor-suppressor in laryngocarcinoma. Our results demonstrate that TAGET provides a valuable computational toolkit and can be applied to many full-length transcriptome studies.

PMID:37741817 | DOI:10.1038/s41467-023-41649-0

Insights Imaging. 2023 Sep 23;14(1):155. doi: 10.1186/s13244-023-01515-5.

ABSTRACT

BACKGROUND: Colon cancer is a particularly prevalent malignancy that produces postoperative complications (POCs). However, limited imaging modality exists on the accurate diagnosis of POCs. The purpose of this study was therefore to construct a model combining tumor spectral CT parameters and clinical features to predict POCs before surgery in colon cancer.

METHODS: This retrospective study included 85 patients who had preoperative abdominal spectral CT scans and underwent radical colon cancer resection at our institution. The patients were divided into two groups based on the absence (no complication/grade I) or presence (grades II-V) of POCs according to the Clavien-Dindo grading system. The visceral fat areas (VFA) of patients were semi-automatically outlined and calculated on L3-level CT images using ImageJ software. Clinical features and tumor spectral CT parameters were statistically compared between the two groups. A combined model of spectral CT parameters and clinical features was established by stepwise regression to predict POCs in colon cancer. The diagnostic performance of the model was evaluated using the receiver operating characteristic (ROC) curve, including area under the curve (AUC), sensitivity, and specificity.

RESULTS: Twenty-seven patients with POCs and 58 patients without POCs were included in this study. MonoE_40keV-VP and VFA were independent predictors of POCs. The combined model based on predictors yielded an AUC of 0.84 (95% CI: 0.74-0.91), with a sensitivity of 77.8% and specificity of 87.9%.

CONCLUSIONS: The model combining MonoE_40keV-VP and VFA can predict POCs before surgery in colon cancer and provide a basis for individualized management plans.

CRITICAL RELEVANCE STATEMENT: The model combining MonoE40keV-VP and visceral fat area can predict postoperative complications before surgery in colon cancer and provide a basis for individualized management plans.

KEY POINTS: • Visceral fat area and MonoE40keV-VP were independent predictors of postoperative complications in colon cancer. • The combined model yielded a high AUC, sensitivity, and specificity in predicting postoperative complications. • The combined model was superior to the single visceral fat area or MonoE40keV-VP in predicting postoperative complications.

PMID:37741813 | DOI:10.1186/s13244-023-01515-5

Cancer Med. 2023 Sep 23. doi: 10.1002/cam4.6590. Online ahead of print.

ABSTRACT

BACKGROUND: Pancreatic cancer is often diagnosed at a late stage with a poor prognosis due to insidious symptoms and lack of evidence-based screening in general population. Palliative care’s acceptance in Asian cultures is hindered by misconceptions and ineffective communication about management that improve quality of life other than cancer directed treatment. Our study aimed to determine the effect of the Shared decision-making with Oncologists and Palliative care specialists (SOP) model developed from the traditional shared decision-making (SDM) model on the palliative care acceptance rate and medical resource utilization.

METHODS: This is a prospective cohort study implementing the SOP model at the National Taiwan University Hospital from January 2018 to December 2019 for patients with advanced pancreatic cancer. Medical resource utilization was defined and recorded as the rate of hospitalization, emergency room (ER), and intensive care unit admissions. We compared the results between two groups: patients who received the SOP model in 2019 and patients who did not receive it in 2018.

RESULTS: 137 patients with advanced pancreatic cancer were included in our study. The result showed that the acceptance rate of palliative care significantly increased from 50% to 78.69% after the SOP model (p = 0.01). The hospitalization rate did not show a significant difference between 2018 (93.42%, 95% CI: 0.88-0.99) and 2019 (93.44%, 95% CI: 0.87-1.00). 83.61% (95% CI: 0.74-0.93) of our patients in 2019 had at least one ER visit; the rate was 81.5% (95% CI: 0.73-0.91) in 2018 (p = 0.28). The percentage of patients admitted to the ICU increased from 3.95% in 2018 to 8.2% (95% CI: -0.05-0.08) in 2019 (95% CI: 0.11-0.15) (p = 0.00). The hospitalization and ER visit showed no statistically difference between 2 years.

CONCLUSIONS: The modified SOP model markedly augmented palliative care’s acceptance of patients with advanced pancreatic cancer. Adoption of the SOP model would provide these patients a more proactive and systematic approach to deliver needed healthcare.

PMID:37740620 | DOI:10.1002/cam4.6590

J Viral Hepat. 2023 Sep 23. doi: 10.1111/jvh.13878. Online ahead of print.

ABSTRACT

To investigate the effects of hepatitis B virus (HBV) infection on the outcomes of Chinese couples undergoing in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) and the clinical data of their neonates. A total of 21,999 first embryo transfer cycles were included. They were categorized into four groups based on the couple’s hepatitis B surface antigen (HBsAg) result (Group A = female HBsAg^– and male HBsAg^– ; Group B = female HBsAg⁺ and male HBsAg^– ; Group C = female HBsAg^– and male HBsAg⁺ ; Group D = female HBsAg⁺ and male HBsAg⁺ ). The fertilization rate (FR), cleavage rate (CR), implantation rate (IPR), clinical pregnancy rate (CPR), live birth rate (LBR) and miscarriage rate (MCR) were analysed. Multilevel logistic regression was applied to evaluate the association. The total prevalence of HBV infection was 5.74% (2526/43998). There were no statistically significant differences in CRs (98.69%, 98.76%, 98.66%, 98.72%, p > .05), IPRs (45.86%, 47.33%, 45.19%, 39.61%, p > .05), CPRs (62.84%, 65.05%, 61.80%, 56.81%, p > .05), MCRs (12.70%, 11.99%, 12.58%, 4%, p > .05) and LBRs (53.43%, 55.38%, 52.70%, 54.54%, p > .05) among the four groups. However, there were significant differences in FRs (66.25%, 66.55%, 66.32%, 61.92%, p < .05). Group D had the lowest FR. After adjusting for confounders, the multilevel logistic regression showed that HBsAg⁺ had no impact on the LBR, CPR or MCR. We also analysed the data of 14,465 newborns, including 8593 singletons and 2936 twins. Among the four groups, no variables reached statistical significance, including neonatal birth weight (NBW), twin ratio, gestational age, premature birth, delivery type, fetal macrosomia or low birth weight (p > .05). Our study demonstrates that, although biparental HBV infection may affect the FR, neither single-parent infection nor biparental HBV infection affects IVF/ICSI outcomes or neonatal outcomes.

PMID:37740608 | DOI:10.1111/jvh.13878

Clin Pharmacol Drug Dev. 2023 Sep 23. doi: 10.1002/cpdd.1330. Online ahead of print.

ABSTRACT

The effects of food on the pharmacokinetics (PKs) and safety of 10-mg rivaroxaban tablets in healthy Chinese subjects were investigated from 1 bioequivalence trial. The bioequivalence trial was designed as randomized, open-label, 2-sequence, 4-period crossover under both fasted and fed conditions. A total of 56 healthy subjects were enrolled, 62.5% were male. These subjects received a single oral 10-mg dose of rivaroxaban with a 7-day washout between 4 periods. Serial PK samples were collected and plasma concentrations were analyzed using validated high-performance liquid chromatography-mass spectrometry. Pharmacokinetic parameters were calculated by noncompartmental methods. The BE module of WinNonLin was used for statistical analysis of the maximum concentration (C_max ), the area under the concentration-time curve from zero to the final measurable concentration (AUC_0-t ), and the area under the concentration-time curve from time zero to infinity (AUC_0-∞ ) of rivaroxaban in plasma. Compared with the fasted state, the C_max , AUC_0-t , and AUC_0-∞ of rivaroxaban significantly increased by 47%, 28%, and 26%, respectively, with oral administration of rivaroxaban 10 mg in the fed state. The incidence of adverse events (AEs) was similar between the fasted and fed states, and no serious AEs were observed. Food significantly increased the exposure to rivaroxaban 10 mg in Chinese subjects.

PMID:37740607 | DOI:10.1002/cpdd.1330