Tag: nevin manimala

Zhonghua Yi Xue Za Zhi. 2023 Apr 25;103(16):1202-1209. doi: 10.3760/cma.j.cn112137-20221028-02243.

ABSTRACT

Objective: To investigate the prognostic factors of patients with central nervous system (CNS) metastatic non-small cell lung cancer (NSCLC) with positive driver genes. Methods: The clinical data of 103 patients with CNS metastatic NSCLC admitted to Beijing Tongren Hospital from January 2016 to December 2020 were retrospectively analyzed, and the patients were divided into positive driver gene group (patients with driver genes mutation and receiving corresponding targeted therapy) and negative driver gene group. Cox univariate and multivariate regression analyses were performed to identify the factors affecting patients’ prognosis, and the receiver operating characteristic curve (ROC) was used to compare the predictive ability of 4 scoring systems [recursive partitioning analysis (RPA) classes, diagnosis-specific graded prognostic assessment (DS-GPA) index, basic score for brain metastasesn (BS-BM) and (lung-molecular graded prognostic assessment (lung-mol GPA)]on patients’ prognosis. Results: Among the 103 patients, 48 were males and 55 were females, and aged (64.6±9.7) years old. The median survival time of the 103 patients was 24.0 (95%CI: 20.0-28.0) months, the median survival time of the 59 patients in the positive driver gene group was 33.0 (95%CI: 23.4-42.6) months, the median survival time of the 44 patients in the negative driver gene group was 17.0 (95%CI: 14.4-19.6) months, and the difference was statistically significant (χ²=24.69, P<0.001). The results of Cox multivariate analysis showed that the negative driver genes (HR=3.788, 95%CI: 1.951-7.301, P=0.001), Karnofsky performance status (KPS) score<70 (HR=2.613, 95%CI: 1.185-5.761, P=0.017) and neutrophil-to-lymphocyte ratio (NLR)>3.22 (HR=2.714, 95%CI: 1.157-6.365, P=0.022) were independent risk factors affecting the prognosis of patients with CNS metastatic NSCLC. KPS score<70 (HR=3.719, 95%CI: 1.165-11.876, P=0.027) and no radiotherapy (HR=2.032, 95%CI: 1.033-11.364, P=0.041) were independent risk factors affecting the prognosis of patients with CNS metastatic NSCLC with positive driver genes. ROC curve analysis showed that the area under curve (AUC) value of lung-mol GPA was the highest among the 4 scoring systems (AUC=0.843, 95%CI: 0.731-0.956, P<0.001), and the AUC value of the lung-mol GPA combined scoring system (AUC=0.904, 95%CI: 0.816-0.991, P<0.001) was higher than lung-mol GPA. Conclusions: A low KPS score and no cranial radiation therapy are independent risk factors for the prognosis of patients with CNS metastatic NSCLC with positive driver genes; the lung-mol GPA joint scoring system is more conducive to the prognostic assessment of patients with CNS metastatic NSCLC with positive driver genes.

PMID:37087403 | DOI:10.3760/cma.j.cn112137-20221028-02243

BMC Nurs. 2023 Apr 23;22(1):132. doi: 10.1186/s12912-023-01303-y.

ABSTRACT

BACKGROUND: This study aimed to examine the effects of psychological distress, depressive symptoms, and emotional eating behaviors on the health-related quality of life of middle-aged Korean females. This study provides primary data for developing an intervention program to improve the health-related quality of life of middle-aged females.

METHODS: Middle-aged females between 35 and 64 years old, from July 22 to August 10, 2021, were included in this study. The mediating effects of depressive symptoms and emotional eating behaviors on the relationship between psychological distress and health-related quality of life were investigated. A cross-sectional survey was conducted on 325 subjects. Researchers conducted questionnaires measuring psychological distress, depressive symptoms, emotional eating behavior, and health-related quality of life.

RESULTS: The findings of this study demonstrated a correlation between the severity of a female’s depressive symptoms and the degree of their psychological distress, indicating that severe depressive symptoms were associated with negative emotions, which increased emotional eating behaviors. Additionally, more severe depressive symptoms indicated a lower health-related quality of life. Higher psychological distress was associated with increased emotional eating behaviors and lower health-related quality of life. The total and direct effects of psychological distress on the health-related quality of life were statistically significant.

CONCLUSIONS: In this study, psychological distress, depressive symptoms, and emotional eating behaviors affected the health-related quality of life of middle-aged Korean females. This study also confirmed that psychological distress had a direct effect on health-related quality of life. These findings serve as primary data for evidence-based intervention programs that alleviate emotional health problems, such as psychological distress and depressive symptoms in middle-aged females. Moreover, nurses can help develop effective treatment strategies to improve health-related quality of life by identifying and assessing potential symptoms of psychological distress, depressive symptoms, and emotional eating behaviors.

PMID:37087430 | DOI:10.1186/s12912-023-01303-y

Anal Chim Acta. 2023 Jun 1;1258:341185. doi: 10.1016/j.aca.2023.341185. Epub 2023 Apr 6.

ABSTRACT

Identifying the islet heterogeneity (cell types and the proportion of each subpopulation) and their relevance to function and disease will lead to fundamental information for the prevention and therapies of diabetes. Here, we introduce a single-cell phenotypic essay on the heterogeneity within individual pancreatic islets by using the combination of synchrotron infrared microspectroscopy and quantitative calculation. In a mouse model, the cellular heterogeneities at both the whole pancreas and single intact islet level were identified. The variation of biochemical phenotypes successfully subdivided islet cells into five main groups and quantitatively determined their proportion. These findings not only demonstrate single-cell infrared phenomics as a value complementary technique and strategy for the description of cellular heterogeneity within the pancreatic islets but also provide a quick, label-free optical platform for investigating phenotypic heterogeneity at the small-organelle level with single cell resolution.

PMID:37087295 | DOI:10.1016/j.aca.2023.341185

Food Res Int. 2023 May;167:112724. doi: 10.1016/j.foodres.2023.112724. Epub 2023 Mar 21.

ABSTRACT

Increasing concerns about freshwater sources necessitate the management of wastewater, such as the wastewater generated from Clean-in-Place (CIP) operations. In this investigation, a membrane system composed of nanofiltration (NF) and direct contact membrane distillation (DCMD) was proposed to manage model dairy CIP wastewater that contained NaOH as an alkaline cleaning agent. During the NF step, prefiltration by a 4 kDa membrane or a 4 kDa membrane followed by a 200 Da membrane (4 kDa/200 Da) was used to remove the whey protein and lactose. With these two membranes in series of NF, the protein concentration was reduced by 92.4% and the lactose content was reduced to a non-detectable level when compared to the model CIP wastewater. Before concentrating the permeates from NF steps, three DCMD membranes (FR, Solupor, and ST) with different characteristics were evaluated to manage the NF permeates from 4 kDa or 200 Da NF. An increase in the feed temperature from 40 °C to 60 °C resulted in an increase in the water flux during DCMD operation, except for FR. In addition, it was found that ST generated the highest water flux when compared to the other membranes. Using ST and a feed temperature of 60 °C, the permeates from 4 kDa or 4 kDa/200 Da were continuously concentrated for 7 h with DCMD. During this concentration, there was no significant decline in flux. The cleaning effectiveness of the cleaning agent (NaOH) recovered by NF and DCMD was compared with a fresh cleaning solution using quartz crystal microbalance with dissipation (QCM-D). It was found that the cleaning agents recovered by 4 kDa/200 Da NF presented a statistically identical cleaning rate compared to fresh NaOH. This research highlights the potential of NF and DCMD to regenerate alkaline cleaning agents, while reclaiming water from dairy CIP wastewater.

PMID:37087280 | DOI:10.1016/j.foodres.2023.112724

Food Res Int. 2023 May;167:112700. doi: 10.1016/j.foodres.2023.112700. Epub 2023 Mar 17.

ABSTRACT

This study evaluated chemical compositions of green coffee beans from multi-production regions and correlated this information with thermal contaminants in roasted coffee. Using multivariate statistical techniques, formation of 5-hydroxymethylfurfural (5-HMF), furan, 2- and 3-methylfuran were positively correlated with lipid, sucrose, glutamic acid, phenylalanine, margaric acid, linolenic acid and trigonelline in green coffee beans. Moreover, significant positive correlations between acrylamide (AA) levels with aspartic acid, serine, alanine, histidine, asparagine, protein, and caffeine was found in green beans. Despite this, 5-HMF, furan, 2- and 3-methylfuran showed negative correlations with active constitutes (neochlorogenic acid, cryptochlorogenic acid, caffeine, total phenolics (TPC) and total flavonoids contents (TFC)), and several amino acids, and there were slight negative relationships between AA and myristic acid, palmitic acid, chlorogenic acid, sucrose, lipid, TPC and TFC. This study provides valuable enlightenment for the selection of proper coffee beans for production of coffee with high nutrition and low chemical hazardous risks.

PMID:37087268 | DOI:10.1016/j.foodres.2023.112700

Food Res Int. 2023 May;167:112697. doi: 10.1016/j.foodres.2023.112697. Epub 2023 Mar 20.

ABSTRACT

A protocol was optimized to determine the volatile profile from monovarietal virgin olive oil (VOO) by multiple headspace solid-phase microextraction (MHS-SPME) followed by gas chromatography-mass spectrometry (GC-MS) analysis. For this, a Plackett-Burman (PB) and central composite rotational designs (CCRD) were used to define the best condition of extraction. Moreover, fatty acids profile and principal component analysis (PCA) was used to identify markers among the cultivars. The amount of 0.1 g of sample was enough to express the volatile composition of the olive oils by MHS-SPME. Volatile compounds [nonanal, (Z)-3-Hexen-1-ol, (Z)-3-Hexenyl Acetate, Hexyl Acetate, 3-Methylbutyl Acetate, (E)-2-Hexen-1-ol, (E)-2-Hexenyl Acetate] and fatty acids [C17:1, C18, C18:1, C18:2] were those reported such as the markers in the varieties of olive oils. The PCA analysis allowed the classification of the most representative volatiles and fatty acids for each cultivar. Through two principal components was possible to obtain 81.9% of explanation of the variance of the compounds. The compounds were quantified using a validated method. The MHS-SPME combined with multivariate analysis showed a promising tool to identify markers and for the discrimination of olive oil varieties.

PMID:37087263 | DOI:10.1016/j.foodres.2023.112697

J Am Med Inform Assoc. 2023 Apr 22:ocad057. doi: 10.1093/jamia/ocad057. Online ahead of print.

ABSTRACT

OBJECTIVE: Clinical encounter data are heterogeneous and vary greatly from institution to institution. These problems of variance affect interpretability and usability of clinical encounter data for analysis. These problems are magnified when multisite electronic health record (EHR) data are networked together. This article presents a novel, generalizable method for resolving encounter heterogeneity for analysis by combining related atomic encounters into composite “macrovisits.”

MATERIALS AND METHODS: Encounters were composed of data from 75 partner sites harmonized to a common data model as part of the NIH Researching COVID to Enhance Recovery Initiative, a project of the National Covid Cohort Collaborative. Summary statistics were computed for overall and site-level data to assess issues and identify modifications. Two algorithms were developed to refine atomic encounters into cleaner, analyzable longitudinal clinical visits.

RESULTS: Atomic inpatient encounters data were found to be widely disparate between sites in terms of length-of-stay (LOS) and numbers of OMOP CDM measurements per encounter. After aggregating encounters to macrovisits, LOS and measurement variance decreased. A subsequent algorithm to identify hospitalized macrovisits further reduced data variability.

DISCUSSION: Encounters are a complex and heterogeneous component of EHR data and native data issues are not addressed by existing methods. These types of complex and poorly studied issues contribute to the difficulty of deriving value from EHR data, and these types of foundational, large-scale explorations, and developments are necessary to realize the full potential of modern real-world data.

CONCLUSION: This article presents method developments to manipulate and resolve EHR encounter data issues in a generalizable way as a foundation for future research and analysis.

PMID:37087110 | DOI:10.1093/jamia/ocad057

Int Microbiol. 2023 Apr 22. doi: 10.1007/s10123-023-00360-2. Online ahead of print.

ABSTRACT

The aim of this study aimed to examine the existence of a bacterial metagenome in the bone marrow of patients with acute myeloid leukemia (AML). We re-examined whole-genome sequencing data from the bone marrow samples of seven patients with AML, four of whom were remitted after treatment, for metagenomic analysis. After the removal of human reads, unmapped reads were used to profile the species-level composition. We used the metagenomic binning approach to confirm whether the identified taxon was a complete genome of known or novel strains. We observed a unique and novel microbial signature in which Carnobacterium maltaromaticum was the most abundant species in five patients with AML or remission. The complete genome of C. maltaromaticum “BMAML_KR01,” which was observed in all samples, was 100% complete with 8.5% contamination and closely clustered with C. maltaromaticum strains DSM20730 and SF668 based on single nucleotide polymorphism variations. We identified five unique proteins that could contribute to cancer progression and 104 virulent factor proteins in the BMAML_KR01 genome. To our knowledge, this is the first report of a new strain of C. maltaromaticum in patients with AML. The presence of C. maltaromaticum and its new strain in patients indicates an urgent need to validate the existence of this bacterium and evaluate its pathophysiological role.

PMID:37087535 | DOI:10.1007/s10123-023-00360-2

Sci Rep. 2023 Apr 22;13(1):6596. doi: 10.1038/s41598-023-32592-7.

ABSTRACT

Quantum-mimic Optical Coherence Tomography (Qm-OCT) images are cluttered with artefacts – parasitic peaks which emerge as a by-product of the algorithm used in this method. However, the shape and behaviour of an artefact are uniquely related to Group Velocity Dispersion (GVD) of the layer this artefact corresponds to and consequently, the GVD values can be inferred by carefully analysing them. Since for multi-layered objects the number of artefacts is too high to enable layer-specific analysis, we employ a solution based on Machine Learning. We train a neural network with Qm-OCT data as an input and dispersion profiles, i.e. depth distribution of GVD within an A-scan, as an output. By accounting for noise during training, we process experimental data and estimate the GVD values of BK7 and sapphire as well as provide a qualitative GVD value distribution in a grape and cucumber. Compared to other GVD-retrieving methods, our solution does not require user input, automatically provides dispersion values for all the visualised layers and is scalable. We analyse the factors affecting the accuracy of determining GVD: noise in the experimental data as well as general physical limitations of the detection of GVD-induced changes, and suggest possible solutions.

PMID:37087517 | DOI:10.1038/s41598-023-32592-7

Malar J. 2023 Apr 22;22(1):131. doi: 10.1186/s12936-023-04561-y.

ABSTRACT

BACKGROUND: Even though malaria is easily preventable and treatable, it continues to have a devastating impact on people’s health and livelihoods around the world. Sub-Saharan Africa carries a disproportionately high share of the global malaria burden. This study seeks to assess the prevalence, trends and factors associated with malaria in the Shai-Osudoku District Hospital, Ghana.

METHODS: A cross-sectional study was conducted to determine the prevalence, trend, and factors associated with malaria in the Shai-Osudoku District Hospital; a 10-month secondary data was extracted from February to November 2020. The extracted data were entered into Epi Data version 6 and analysed using STATA version 16. Descriptive analysis was performed to determine the prevalence, trend and socio-demographic characteristics of study participants. Simple logistic regression at a 95% confidence level was performed to investigate socio-demographic factors associated with malaria infection. Tables and charts with summary statistics were used to present the results.

RESULTS: Secondary data from 3896 individuals were included in the study. The age of the participants range from 0.8 to 101 years with a mean age of 32.5. The estimated prevalence of malaria during the study period is 20.9%. A majority (79.1%) of the participants who presented signs and symptoms of malaria were negative after testing. The prevalence of malaria cases increased progressively from 6.7 to 55.4% across the ten months. The simple logistic regression at a 95% confidence level revealed that age group, sex, residential status, religion, occupation and marital status were statistically significantly associated with malaria. The results shows that persons who tested positive for malaria were mostly treated with artemether-lumefantrine (46.1%), some malaria positive cases were given artesunate injection (11.6%), dihydroartemisinin-piperaquine (16.2%) and oral artemether-lumefantrine (6.5%). Surprisingly 19.6% of the malaria-positive cases were not given any form of malaria medication.

CONCLUSION: Factors found to influence malaria infection in the Shai-Osudoku District Hospital include participant’s age, sex, residential status, religious affiliation occupation and marital status. The findings of this study showed that malaria remains a serious public health problem in the Shai Osudoku District Hospital. The information obtained from this study can guide the implementation of malaria prevention, control and elimination strategies in Ghana.

PMID:37087510 | DOI:10.1186/s12936-023-04561-y