Category: Statistics

Sci Rep. 2024 Nov 6;14(1):26905. doi: 10.1038/s41598-024-78661-3.

ABSTRACT

Underreporting of adverse events in healthcare systems is a global concern. This study aims to address the underreporting of adverse events (AE) by implementing a TRIZ-based model to identify and overcome barriers to reporting, thus filling gaps in current reporting practices and improving incident recognition. A TRIZ (Theory of Inventive Problem Solving) approach was adopted, integrating with SERVQUAL methodologies to design interventions. Preintervention and postintervention surveys were conducted to evaluate changes in the recognition of adverse events and barriers to reporting. Statistical analyses were performed to assess the effectiveness of the interventions. Recognition improved and barriers to reporting AEs significantly decreased. Monthly reported cases rose from 33.7 to 50.3 (p = 0.000), demonstrating the effectiveness of the TRIZ-based interventions. Implementing a TRIZ-based model significantly improved adverse event reporting by enhancing the recognition of reportable events and overcoming identified barriers. Future research should explore the long-term sustainability of these interventions and their broader applicability in diverse healthcare settings.

PMID:39506028 | DOI:10.1038/s41598-024-78661-3

Sci Rep. 2024 Nov 7;14(1):27033. doi: 10.1038/s41598-024-77041-1.

ABSTRACT

This study is an investigation of the impact of volatile phenols (VPs) released from burning wood during wildfires on grape composition and the resulting wines. Baseline levels of VPs in grapes and sensory differences between smoke-impacted wines and non-smoke-impacted wines were determined. The differences were related to different levels of smoke taint marker compounds in different wine matrices, using modified descriptive analysis (DA), multivariate statistics, gas chromatography mass spectrometry (GC-MS) and liquid chromatography-triple quadrupole tandem mass spectrometry (LC-QqQ-MS) of the free and total VPs, and individual bound glycosides, respectively. Across two DA panels, Cabernet Sauvignon, Cabernet Franc, Petite Verdot, Merlot, Syrah, Malbec, and Zinfandel wines made from grape originating from different areas in California were evaluated. The results show sensory differences between highly smoke-impacted and non-impacted wines with wines made from highly smoke-impacted grapes characterized as smoky, barbeque, medicinal, and having a retro-nasal ashtray character. Low smoke-impact wines based on free and total VP concentrations were not significantly different from the non-impacted wines when rated through descriptive analysis. The amount of smoke exposure was the largest contributor to smoke impact determined by sensory evaluation, but the different wine matrices from different locations and varietals also played an important role in determining the level of perceived smoke impact. The results of this study will contribute to our understanding of smoke impact and how it influences wine characteristics by relating smoke marker indicator compounds to wine sensory attributes.

PMID:39506001 | DOI:10.1038/s41598-024-77041-1

Sci Rep. 2024 Nov 6;14(1):26972. doi: 10.1038/s41598-024-76424-8.

ABSTRACT

Procedural coding presents a taxing challenge for clinicians. However, recent advances in natural language processing offer a promising avenue for developing applications that assist clinicians, thereby alleviating their administrative burdens. This study seeks to create an application capable of predicting procedure codes by analysing clinicians’ operative notes, aiming to streamline their workflow and enhance efficiency. We downstreamed an existing and a native German medical BERT model in a secondary use scenario, utilizing already coded surgery notes to model the coding procedure as a multi-label classification task. In comparison to the transformer-based architecture, we were levering the non-contextual model fastText, a convolutional neural network, a support vector machine and logistic regression for a comparative analysis of possible coding performance. About 350,000 notes were used for model adaption. By considering the top five suggested procedure codes from medBERT.de, surgeryBERT.at, fastText, a convolutional neural network, a support vector machine and a logistic regression, the mean average precision achieved was 0.880, 0.867, 0.870, 0.851, 0.870 and 0.805 respectively. Support vector machines performed better for surgery reports with a sequence length greater than 512, achieving a mean average precision of 0.872 in comparison to 0.840 for fastText, 0.837 for medBERT.de and 0.820 for surgeryBERT.at. A prototypical front-end application for coding support was additionally implemented. The problem of predicting procedure codes from a given operative report can be successfully modelled as a multi-label classification task, with a promising performance. Support vector machines as a classical machine learning method outperformed the non-contextual fastText approach. FastText with less demanding hardware resources has reached a similar performance to BERT-based models and has shown to be more suitable for explaining the predictions efficiently.

PMID:39505974 | DOI:10.1038/s41598-024-76424-8

Sci Rep. 2024 Nov 6;14(1):26935. doi: 10.1038/s41598-024-78432-0.

ABSTRACT

Breast cancer (BC) is the leading cause of death among cancer patients worldwide. In 2020, almost 12% of all cancers were diagnosed with BC. Therefore, it is important to search for new potential markers of cancer progression that could be helpful in cancer diagnostics and successful anti-cancer therapies. In this study, we investigated the potential role of the lysine acetyltransferases KAT6A and KAT6B in the outcome of patients with invasive breast carcinoma. The expression profiles of KAT6A/B in 495 cases of IDC and 38 cases of mastopathy (FBD) were examined by immunohistochemistry. KAT6A/B expression was also determined in the breast cancer cell lines MCF-7, BT-474, SK-BR-3, T47D, MDA-MB-231, and MDA-MB-231/BO2, as well as in the human epithelial mammary gland cell line hTERT-HME1 – ME16C, both at the mRNA and protein level. Statistical analysis of the results showed that the nuclear expression of KAT6A/B correlates with the estrogen receptor status: KAT6A_NUC vs. ER r = 0.2373 and KAT6B_NUC vs. ER r = 0.1496. Statistical analysis clearly showed that KAT6A cytoplasmic and nuclear expression levels were significantly higher in IDC samples than in FBD samples (IRS 5.297 ± 2.884 vs. 2.004 ± 1.072, p < 0.0001; IRS 5.133 ± 4.221 vs. 0.1665 ± 0.4024, p < 0.0001, respectively). Moreover, we noticed strong correlations between ER and PR status and the nuclear expression of KAT6A and KAT6B (nucKAT6A vs. ER, p = 0.0048; nucKAT6A vs. PR p = 0.0416; nucKAT6B vs. ER p = 0.0306; nucKAT6B vs. PR p = 0.0213). Significantly higher KAT6A and KAT6B expression was found in the ER-positive cell lines T-47D and BT-474, whereas significantly lower expression was observed in the triple-negative cell lines MDA-MB-231 and MDA-MB-231/BO2. The outcomes of small interfering RNA (siRNA)-mediated suppression of KAT6A/B genes revealed that within estrogen receptor (ER) positive and negative cell lines, MCF-7 and MDA-MB-231, attenuation of KAT6A led to concurrent attenuation of KAT6A, whereas suppression of KAT6B resulted in simultaneous attenuation of KAT6A. Furthermore, inhibition of KAT6A/B genes resulted in a reduction in estrogen receptor (ER) mRNA and protein expression levels in MCF-7 and MDA-MMB-231 cell lines. Based on our findings, the lysine acetyltransferases KAT6A and KAT6B may be involved in the progression of invasive ductal breast cancer. Further research on other types of cancer may show that KAT6A and KAT6B could serve as diagnostic and prognostic markers for these types of malignancies.

PMID:39505971 | DOI:10.1038/s41598-024-78432-0

Sci Rep. 2024 Nov 6;14(1):27004. doi: 10.1038/s41598-024-75930-z.

ABSTRACT

The source of uranium is an important research topic related to the exploration of sandstone-type uranium deposits, and potential uranium sources in deep basins are often overlooked. Black organic-rich shale is a common uranium-bearing rock in deep sedimentary basins. However, relatively few studies have investigated the migration of uranium during hydrocarbon generation in and release from uranium-rich shale. In this study, the uranium-rich shale in the Chang 7 member of the Yanchang Formation of the Upper Triassic in the Ordos Basin was selected to investigate the migration of uranium and other trace elements during the thermal maturation of uranium-rich shale via a semiopen pyrolysis simulation system. The gas and liquid products as well as the solid residue were thoroughly analysed by means of multiple instruments. The results showed that uranium significantly migrated before hydrocarbon generation (Ro < 0.61%), with a leaching rate between 12.1% and 18.8%. The leaching rate of uranium during the hydrocarbon generation stage (0.63% < Ro < 1.35%) was relatively low, ranging from 0 to 7.2%. Cu, Pb, Zn, Mo, and other trace elements also migrated considerably during the early stage of thermal evolution, with leaching rates ranging from 2.9 ~ 11.6%. The yield of low-molecular-weight organic acids (LOAs) was the highest in the early stage of thermal maturity, and the LOA yield exhibited a good correlation with the leaching rates of Cu, Pb, Zn, Co, Mo, etc. The generation of LOAs from source rocks was conducive to the leaching and migration of trace elements. Moreover, according to a statistical analysis of published geochemical data, the total organic carbon (TOC) content, uranium content, and U/TOC ratio in shale decreased significantly with increasing burial depth, indicating that uranium migrated significantly upon kerogen hydrocarbon generation during thermal evolution. Therefore, uranium-rich shale is an important deep uranium source in sedimentary basins.

PMID:39505957 | DOI:10.1038/s41598-024-75930-z

Sci Rep. 2024 Nov 6;14(1):26942. doi: 10.1038/s41598-024-76314-z.

ABSTRACT

With increasing life spans, breast cancer (BC) survivors may face the possibility of developing second primary cancer (SPC), which can considerably shorten survival. Lung cancer (LC) is a common SPC among BC survivors. This study explored the association between these two cancers through Mendelian randomization (MR) analysis. A bidirectional two-sample MR analysis was conducted with BC genome-wide association study (GWAS) data from the Breast Cancer Association Consortium (BCAC) included 228,951 individuals and the GWAS summary statistics from the Transdisciplinary Research in Cancer of the Lung (TRICL) of LC included 112,781 individuals. The IVW method and MR-RAPS method showed a causal effect of overall BC on lung adenocarcinoma (LUAD) (IVW: OR = 1.060, 95% CI = 1.008-1.116, P = 0.024; MR-RAPS: OR = 1.059, 95% CI = 1.005-1.116, P = 0.033), which indicated that patients with BC had an increased risk of LUAD. However, there is no strong evidence for a causal effect of LUAD on BC. Our study revealed a causal effect of BC on second primary LUAD, suggesting that we should intensify screening for second primary LC in BC survivors. Early intervention and treatment for patients with second primary LC are needed to reduce mortality in BC survivors.

PMID:39505936 | DOI:10.1038/s41598-024-76314-z

Sci Rep. 2024 Nov 6;14(1):27006. doi: 10.1038/s41598-024-73403-x.

ABSTRACT

The historical restriction of magnetic resonance imaging (MRI) for patients with cardiac implantable electronic devices (CIEDs) has been lifted by certified MRI-conditional systems in recent years. Mixed-brand CIED systems consisting of a generator from one manufacturer and at least one lead from another manufacturer are not certified for MRI. We evaluated the temporal trend in the prevalence of mixed-brand systems in the era of MRI-conditional systems. Data were analyzed on 5853 CIEDs implanted de novo between 2012 and 2022 in 81 Italian centers linked to the nationwide Home Monitoring Expert Alliance network. The percentage of mixed-brand implants was calculated by device type (pacemaker, implantable cardioverter-defibrillator [ICD], cardiac resynchronization therapy [CRT] device) and over time. A mixed-brand system was implanted in 4.1% (95% CI, 3.6-4.6%) of analyzed patients or, by device type, in 4.5% (3.5-5.7%) of pacemaker patients, 1.1% (0.7-1.7%) of ICD patients, and 6.8% (5.7-7.9%) of CRT pacemaker/defibrillator patients (p < 0.001). Prevalence of mixed-brand implants exhibited significant temporal fluctuations, first declining from 6.6% (2012-2014) to 1.3% (2019), and then increasing to 5.1% (2022). Temporal changes were statistically significant for pacemakers (p < 0.001) and CRT devices (p = 0.001), but not for ICDs (p = 0.438). In the decade between 2012 and 2022, mixed-brand CIED systems were more prevalent in patients treated with pacemakers and CRT devices than in ICD recipients. A decline in the prevalence of mixed-brand systems was observed after the introduction of MRI-conditional systems, reaching a minimum in 2019, followed by a progressive increase in the subsequent years.

PMID:39505923 | DOI:10.1038/s41598-024-73403-x

Sci Rep. 2024 Nov 6;14(1):26953. doi: 10.1038/s41598-024-75131-8.

ABSTRACT

To analyze the factors affecting stigma and quality of life in hemiplegic stroke patients following suicide attempts in nursing homes and to provide a theoretical basis for developing interventions in clinical care. General demographic information, the Stigma Scale for Chronic Illness (SSCI), and the Quality of Life Scale (SF-36) were used to investigate 259 patients with hemiplegia after stroke following nursing home suicide from January to April 2024. Univariate statistical analyses were performed to assess the impact of potential determinants on quality of life. Multiple regression models and stratified analyses with smoothed curve fitting were used for further evaluation. Multiple regression modeling showed that the factors influencing the quality of life in hemiplegic stroke patients following suicide attempts in nursing homes were stigma, Age, marital status, education, type of occupation, monthly household income, and duration of illness. The level of quality of life before unadjusted variables was strongly associated with high school and college education (β = 11.9, 95% CI: 8.2-15.6; P < 0.001), (β = 13.1, 95% CI: 9.2 -16.9; P < 0.001). After adjusting for confounders such as marital status (Married, Unmarried), Age (< 30, 30-40, 40-50, > 50) (β = 8.1, 95% CI: 4 .6-11.6; P < 0.0001). (β = 9.5, 95% CI: 6.0-13.1;P < 0.0001), the results were not significantly different. Curve fitting revealed threshold nonlinear associations between intrinsic and extrinsic stigma and quality of life, with quality of life decreasing as stigma increased. Conclusion Stigma is negatively correlated with the level of quality of life in hemiplegic stroke patients following suicide attempts in nursing homes. Different demographic profiles moderated patients’ quality of life levels, and effective psychological intervention strategies should be used to improve patients’ quality of life.

PMID:39505922 | DOI:10.1038/s41598-024-75131-8

Sci Rep. 2024 Nov 6;14(1):26894. doi: 10.1038/s41598-024-74718-5.

ABSTRACT

To investigate the association between coal dust exposure and the occurrence of dyslipidemia in coal mine workers, and identify relevant risk factors. Methods: We selected a population who underwent occupational health examinations at Huainan Yangguang Xinkang Hospital from March 2020 to July 2022. Participants were divided into two groups based on the presence or absence of dyslipidemia, and their baseline information was collected, including records of coal dust exposure. We employed single-factor analysis to identify risk factors for dyslipidemia and adjusted for confounding factors in the adjusted models. Additionally, we explored the effects in different populations using stratified analysis, smooth curve fitting, and propensity score matching. Finally, we confirmed the causal relationship between coal dust exposure and dyslipidemia by examining tissue sections and lipid-related indicators in a mouse model of coal dust exposure. Results A total of 5,657 workers were included in the study, among whom 924 individuals had dyslipidemia and 4,743 individuals did not have dyslipidemia. The results of the single-factor analysis revealed that dust exposure, age, BMI, blood pressure, and smoking were statistically significant risk factors for dyslipidemia (p < 0.05). Additionally, the three multivariate models, adjusted for different confounders, consistently showed a significant increase in the risk of dyslipidemia associated with coal dust exposure (Model 1: OR, 1.869; Model 2: OR, 1.863; Model 3: OR, 2.033). After conducting stratified analysis, this positive correlation remained significant. Furthermore, propensity score matching analysis revealed that with increasing years of work, the risk of dyslipidemia gradually increased, reaching 50% at 11 years. In the mouse model of coal dust exposure, significant coal dust deposition was observed in the lungs and livers of the mice, accompanied by elevated levels of total cholesterol (TC), alanine transaminase (ALT), aspartate transaminase (AST), and low-density lipoprotein cholesterol (LDL-C). Conclusion Exposure to coal dust significantly increases the risk of developing dyslipidemia, and this positive correlation exists in different populations, particularly with increasing years of work, resulting in a higher risk.

PMID:39505893 | DOI:10.1038/s41598-024-74718-5

Sci Rep. 2024 Nov 6;14(1):26975. doi: 10.1038/s41598-024-75128-3.

ABSTRACT

Dental practice management is usually a mandatory course for both undergraduate and postgraduate programs. However, learners and educators may encounter challenges in gaining experiences in real-life dental practice. The concept of a gamified virtual tour could have potential to improve dental practice management skills. A quasi-experimental study was conducted to evaluate the educational impact of a gamified virtual dental clinic (GVDC) on dental practice management skills among dental undergraduates (UG) and postgraduates (PG). All participants were assigned to complete the GVDC. Pre- and post-knowledge assessments were administered to evaluate knowledge acquisition. A self-administered questionnaire was distributed to investigate user perceptions toward the use of GVDC. There were 20 dental undergraduates and 20 orthodontic residents participating in UG and PG groups, respectively. Both groups demonstrated statistically significant increases in their assessment scores after completing the GVDC (P < 0.001). Although the pre-knowledge assessment score of the PG group was notably higher than that of the UG group (P = 0.041), there was no statistically significant difference in their post-knowledge assessment score (P = 0.491). Participants had positive perceptions of GVDC in terms of usefulness, ease of use, and enjoyment, with no statistically significant differences between the two groups (P > 0.05). Overall, the GVDC demonstrated positive educational impacts on acquiring knowledge and understanding of dental practice management, with participants expressing favorable perceptions of this immersive learning intervention.

PMID:39505891 | DOI:10.1038/s41598-024-75128-3