Multifactorial Regression Analysis Research Articles

Association between cardiovascular health and serum vitamin D and its interaction with prediabetes and diabetes

BackgroundPrediabetes and diabetes are common and serious public health problems, and high blood glucose can lead to serious cardiovascular complications. The purpose of this article was to explore the link between CVH levels and the incidence of prediabetes and diabetes in people over 20 years old, and whether serum vitamin D status could alter this relationship. Materials and MethodsData, from six consecutive cycles of the NHANES database from 2007 to 2018 were combined, eligible participants were aged ≥20 years. After excluding missing data, a total of 19,992 subjects were enrolled in the study. Significant risk factors for prediabetes and diabetes were analyzed using univariate and multivariate logistic regression. Exploring the interaction of VD and CVH on prediabetes and diabetes based on multifactorial regression analysis. ResultsThe prevalence of prediabetes among all participants was 36.15% and the prevalence of diabetes was 16.39%. CVH and vitamin D levels are influential factors in prediabetes and diabetes, and are negatively associated with the risk of developing prediabetes and diabetes. Compared with normoglycemia, poorer CVH and vitamin D deficiency only had a synergistic multiplicative interaction on the development of diabetes, and no significant interaction was observed for the development of prediabetes. Compared with prediabetes, poorer CVH and vitamin D deficiency still had a synergistic additive interaction on the development of diabetes. ConclusionsAlthough the cross-sectional study only determine the association and do not prove causality, the current results can be used to prompt people to improve their lifestyle and risk factors to prevent prediabetes or diabetes through higher CVH and adequate Vitamin D.

Predictive value of serum MED1 and PGC-1α for bronchopulmonary dysplasia in preterm infants

ObjectiveThis study aimed to predict the bronchopulmonary dysplasia (BPD) in preterm infants with a gestational age(GA) < 32 weeks utilizing clinical data, serum mediator complex subunit 1 (MED1), and serum peroxisome proliferator-activated receptor gamma coactivator-1alpha (PGC-1α).MethodsThis prospective observational study enrolled 70 preterm infants with GA < 32 weeks. The infants were categorized into two groups: non-BPD group(N = 35) and BPD group(N = 35), including 25 cases with mild BPD and 10 patients with moderate/severe subgroups. We performed multifactorial regression analysis to investigate the postnatal risk factors for BPD. Furthermore, we compared serum levels of biomarkers, including MED1 and PGC-1α, among infants with and without BPD at postnatal days 1, 7, 14, 28, and PMA 36 weeks. A logistic regression model was constructed to predict BPD’s likelihood using clinical risk factors and serum biomarkers.ResultsSerum levels of MED1 on the first postnatal day, PGC-1α on the 1st, 7th, and 28th days, and PMA at 36 weeks were significantly lower in the BPD group than in the non-BPD group (P < 0.05). Furthermore, the predictive model for BPD was created by combing serum levels of MED1 and PGC-1α on postnatal day 1 along with clinical risk factors such as frequent apnea, mechanical ventilation time > 7 d, and time to reach total enteral nutrition. Our predictive model had a high predictive accuracy(C statistics of 0.989) .ConclusionMED1and PGC-1α could potentially serve as valuable biomarkers, combined with clinical factors, to aid clinicians in the early diagnosis of BPD.

Prevalence and risk factors of retinal vein occlusion in individuals with diabetes: The kailuan eye study.

The aim of this study was to analyze the incidence of retinal vein occlusion (RVO) in patients with and without diabetes in the population and compare the influencing factors. The community-based Kailuan Eye Study included 14,440 participants (9835 male, 4605 female) with a mean age of 54.0 ± 13.3years (range, 20-110years). They underwent a systemic and ophthalmologic examination. RVO were diagnosed on fundus photographs. By matching for age and gender, we included a total of 2767 patients each with diabetes and non-diabetes. The prevalence of RVO among patients with and without diabetes was 1.5% and 0.8%, respectively. The prevalence of RVO was higher in patients with diabetes than in patients without diabetes in all age groups. Multifactorial regression analysis showed that only fasting blood glucose levels were significantly different between patients with RVO with or without DM. The occurrence of RVO in the group with diabetes was mainly associated with higher fasting glucose and systolic blood pressure; in the group without diabetes, RVO was mainly associated with higher diastolic blood pressure, Body Mass Index, and lower low-density lipoprotein cholesterol levels. We found that patients with diabetes have increased risks of RVO. In addition to blood pressure control, we recommend educating patients with diabetes about RVO, to prevent its subsequent occurrence.

Disparities in cancer outcomes: A comprehensive analysis of cancer incidence, mortality, and prevalence in Europe

Cancer poses a substantial challenge in Europe&amp;rsquo;s public health landscape, contributing significantly to illness burden, diminished productivity, and escalating health-care costs. This article investigates the extent to which disparities in cancer outcomes are associated with factors influencing the performance of cancer control initiatives within the European Union (EU). The characteristics of health-care systems play a pivotal role in shaping cancer outcomes through three key mechanisms: (i) Access to screening programs; (ii) quality and efficiency of health-care services; and (iii) health education and awareness programs. A multifactorial regression analysis was employed, utilizing the GLOBOCAN 2020 projections of cancer incidence, mortality, and prevalence based on the data from the International Agency for Research on Cancer. This analysis was delineated across 36 distinct cancer classifications by both gender and age categories. In countries with incomplete population coverage, patients may face limitations in accessing certain services or contend with significant financial obstacles. Furthermore, disparities in health-care service implementation, including diagnostic procedures, treatment modalities, and follow-up care, significantly affect cancer outcomes. In addition, systematic distinctions in care quality, such as early diagnosis, timely access to specialized care, and the presence of coordinated efforts, contribute significantly to diverse cancer outcomes. In conclusion, this article highlights the variations in cancer care provision across European countries, offering valuable insights for enhancing cancer patient care.

Clinical value of serum tumor markers in assessing the efficacy of neoadjuvant chemotherapy in advanced ovarian cancer: single-center prospective clinical study.

This study aimed to assess the clinical importance of various biomarkers, including NLR, CEA, CA199, CA125, CA153, and HE4, through dynamic testing to evaluate the effectiveness of neoadjuvant chemotherapy (NACT) for individuals facing advanced ovarian cancer. This provides valuable information for tailoring treatment plans to individual patients, thereby leading to a more personalized and effective management of individuals facing ovarian cancer. The levels of NLR, CA125, CA199, CEA, CA153, and HE4 were detected before chemotherapy and after 3 courses of chemotherapy. Patients were categorized into ineffective and effective groups according to the effectiveness of NACT. To evaluate the factors influencing NACT's effectiveness in individuals facing advanced ovarian cancer, receiver operating characteristic (ROC) curves, predictive modeling, and multifactorial regression analysis were employed. In the effective group, the patients' age, maximum tumor diameter, and CEA and HE4 levels of the patients were significantly higher compared to those in the ineffective group (P <.05). Additionally, the difference in HE4 levels before and after treatment between the effective and ineffective groups was statistically significant (P<.05). Multifactorial analysis showed that age and maximum tumor diameter were independent risk factors impacting the effectiveness of NACT in individuals facing advanced ovarian cancer (P<.05). The ROC curve for predicting the effectiveness of NACT in individuals facing advanced ovarian cancer showed a sensitivity of 93.3% for NLR and a specificity of 92.3% for CA199. HE4 emerged as the most reliable predictor, demonstrating a specificity of 84.6% and a sensitivity of 75.3%. The area under the curve of the combined CA125 and HE4 assays for predicting the ineffectiveness of NACT in individuals facing advanced ovarian cancer was 0.825, showcasing a specificity of 74.2% and a sensitivity of 84.6%. The predictive capacity for the effectiveness of NACT in individuals facing advanced ovarian cancer is notably high when considering the sensitivity of NLR and the specificity of CA199. Additionally, the combination of CA125 and HE4 assays can obtain a better predictive effect, which can accurately select patients suitable for NACT, determine the appropriate timing of the interval debulking surgery (IDS) surgery, and achieve a satisfactory tumor reduction effect.

Risk factors for postoperative pulmonary complications in elderly patients undergoing video-assisted thoracoscopic surgery lobectomy under general anesthesia: a retrospective study

BackgroundThe objective of this study is to identify and evaluate the risk factors associated with the development of postoperative pulmonary complications (PPCs) in elderly patients undergoing video-assisted thoracoscopic surgery lobectomy under general anesthesia.MethodsThe retrospective study consecutively included elderly patients (≥ 70 years old) who underwent thoracoscopic lobectomy at Xuanwu Hospital of Capital Medical University from January 1, 2018 to August 31, 2023. The demographic characteristics, the preoperative, intraoperative and postoperative parameters were collected and analyzed using multivariate logistic regression to identify the prediction of risk factors for PPCs.Results322 patients were included for analysis, and 115 patients (35.7%) developed PPCs. Multifactorial regression analysis showed that ASA ≥ III (P = 0.006, 95% CI: 1.230 ∼ 3.532), duration of one-lung ventilation (P = 0.033, 95% CI: 1.069 ∼ 4.867), smoking (P = 0.027, 95% CI: 1.072 ∼ 3.194) and COPD (P = 0.015, 95% CI: 1.332 ∼ 13.716) are independent risk factors for PPCs after thoracoscopic lobectomy in elderly patients.ConclusionRisk factors for PPCs are ASA ≥ III, duration of one-lung ventilation, smoking and COPD in elderly patients over 70 years old undergoing thoracoscopic lobectomy. It is necessary to pay special attention to these patients to help optimize the allocation of resources and enhance preventive efforts.

Evaluation and application of a Chinese version symptom questionnaire for visual dysfunctions (CSQVD) in school-age children

ObjectiveTo develop and evaluate a Chinese version of the Symptom Questionnaire for Visual Dysfunctions (CSQVD) to quantify visual dysfunction symptoms in school-age children with various eye diseases, and to explore the relationship between ophthalmological disorders and visual dysfunction symptoms. MethodsFollowing standard scale adaptation procedures, the Symptom Questionnaire for Visual Dysfunctions (SQVD) was translated into Chinese (CSQVD). We employed random sampling to survey 198 outpatients aged 7–18 to assess the psychometric properties of the CSQVD. Using the reliable and validated questionnaire, we evaluated the determinants of visual dysfunction symptoms among 406 school-age patients at an eye center. The CSQVD scores were correlated with demographic and clinical variables, including gender, age, eye position, refractive power, and best-corrected visual acuity. Univariate analysis identified potential risk factors, followed by binary logistic regression and multiple linear regression analysis on factors with a P-value <0.05. ResultsThe CSQVD scale's critical ratio (CR) values ranged from 6.028 to 10.604. The Cronbach's Alpha coefficient was 0.779, and Spearman-Brown split-half reliability was also 0.779. The I-CVI varied from 0.83 to 1.000, the S-CVI/Ave was 0.857, and the KMO value was 0.821. Multifactorial regression analysis indicated that high myopia (OR ​= ​5.744, 95% CI [1.632, 20.218], P ​= ​0.006) and amblyopia (OR ​= ​9.302, 95% CI [1.878, 46.058], P ​= ​0.006) were significant predictors of CSQVD symptoms. Multiple linear regression analysis showed that BCVA of amblyopic eyes (B ​= ​−5.052, 95% CI [−7.779, 2.325], P ​= ​0.000) and SE power (B ​= ​−0.234, 95% CI [−0.375, 0.205], P ​= ​0.001) significantly affected the CSQVD scale scores. ConclusionsThe Chinese version of the SQVD scale (CSQVD) demonstrates good feasibility, discriminatory power, validity, and reliability in assessing Chinese school-aged children. Furthermore, those who have severe myopia and amblyopia reported more visual dysfunction symptoms.

Construction of a prognostic model for autophagy in Wilm's tumor.

Wilm's tumor (WT) is one of the most common childhood urological tumors, ranking second in the incidence of pediatric abdominal tumors. The development of WT is associated with various factors, and the correlation with autophagy is currently unclear. To develop a new prognostic model of autophagy-related genes (ATG) for WT. Using the Therapeutically applicable research to generate effective treatments (TARGET) database to screen for differentially expressed ATGs in WT and normal tissues. ATGs were screened for prognostic relevance to WT using one-way and multifactorial Cox regression analyses and prognostic models were constructed. The risk score was calculated according to the model, and the predictive ability of the constructed model was analyzed using the ROC (receiver operating characteristic) curve to verify the significance of the model for the prognosis of WT. Sixty-eight differentially expressed ATGs were identified by univariate Cox regression analysis, and two critical prognostic ATGs (CXCR4 and ERBB2) were identified by multivariate Cox regression analysis. Patients were divided into high-risk and low-risk groups according to the differential expression of these two ATGs. Kaplan-Meier (KM) curves showed a significant difference in survival time between the two groups. The critical prognostic ATGs were combined with race, age, and stage in a multifactorial regression analysis, and the final prognostic model was produced as a line graph. The prognostic model of autophagy-related genes composed of the CXCR4 gene and ERBB2 gene has a specific predictive value for the prognosis of WT, and the present study provides a clear basis for future research on biomarkers and therapeutic targets.

Prognostic models of drug-induced neutralizing antibody formation in patients with rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis treated with TNF-α blockersockers.

This study aimed to construct prognostic mathematical models utilizing multifactorial regression analysis to assess the risk of developing drug-induced neutralizing antibodies in patients with rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis treated with tumor necrosis factor alpha blockers.

Defining the directions for the impact of administrative management tools on the project management system

The object of this study is project management under the changing conditions of the modern economy. The way the top management of the company affects the implementation of projects in various sectors and branches of production is an issue related to business development in general. An increasing number of enterprises use project tools to adjust production processes. To this end, in particular, it is advisable to use administrative management tools against the background of its improvement at the level of the company's management. The logic of this study construction implies an emphasis on theoretical and experimental components. The theoretical foundations of the study include the identification of administrative management tools. The coverage of the experimental part is devoted to multifactorial regression analysis (the coefficient of determination is 0.715) of the influence of administrative management factors on the effectiveness of projects based on construction excavations. The interpretation of the research data confirms that the administrative management toolkit could be optimally used to establish high-quality project management. Based on the study of aspects of the relationship between administrative management and project management, the definition of administrative management and the project management system at modern enterprises is proposed. The study concluded that it is necessary to use those levers that are common in companies of industrialized countries of the world. Europe's experience will be useful in spreading the practice of project management in enterprises of countries with transition economies. The results of the research could be used at enterprises of various sectors of industry, agriculture, and the service domain, in particular at construction enterprises that were chosen as the object of research

Sex disparities in the association between serum cotinine and chronic kidney disease.

Despite the existence of numerous studies highlighting the adverse effects of smoking on kidney function, the investigation of the correlation between serum cotinine and chronic kidney disease (CKD) remains inconclusive due to insufficient evidence. Consequently, the primary objective of this study was to ascertain the association between serum cotinine levels and CKD. This study analyzed data from 10900 Americans participating in the National Health and Nutrition Examination Survey between 2005 and 2016. The independent variable under investigation was log serum cotinine, while the dependent variable was the presence of CKD. To investigate the potential linear and non-linear correlations between serum cotinine and CKD, logistic regression models and generalized additive models (GAM) were employed. Furthermore, stratified analyses and interaction tests were conducted to evaluate potential disparities in the relationship between serum cotinine and CKD, based on sex. The median age in the study participants was 49.28 ± 17.96 years, and the median log serum cotinine (ng/mL) was -0.54 ± 1.68. The prevalence of CKD was found to be 17.04%. Multifactorial regression analysis did not show a statistically significant association between log serum cotinine and CKD (OR=1.02; 95% CI: 0.98-1.06, p=0.4387). A statistically significant non-linear association between log serum cotinine and CKD was also not observed in the GAM analysis (p non-linear value=0.091). Subgroup analyses revealed sex differences in the association between log serum cotinine and CKD. Briefly, males had a positive association between log serum cotinine and incident CKD (OR=1.08; 95% CI: 1.02-1.15, p=0.0049). In females, there was a U-shaped association between log serum cotinine and CKD, with an optimal inflection point for log serum cotinine of -0.30 (serum cotinine=0.5 ng/mL). Cross-sectional analyses of NHANES data showed gender differences in the association between serum cotinine and the development of CKD.

Использование алгоритма оптимизации DIRECT и кусочно-линейных функций для построения нелинейных регрессионных моделей по гетероскедастичным данным

Nonlinear regression models are an important tool in agricultural research, as many biological processes are theoretically and experimentally described by nonlinear functions. In addition to accurately describing experimental data, nonlinear models have the property of physical interpretability of parameters and are more robust outside the domain of the studied sample. Currently, existing methods for calculating model coefficients – such as Ordinary Least Squares, Weighted Least Squares, and Generalized Least Squares – have several drawbacks. The most advanced Generalized Least Squares method relies on a large number of axioms, which are often not adhered to in real examples, and the theoretical proof is not apodictic. This article introduces a flexible, robust, and accurate method for calculating coefficients for arbitrary single-factor regression models based on the maximum likelihood estimation method. The method is theoretically justified with a minimal number of axioms, and examples of results from the software implementation are provided for the logistic function and the Michaelis function using synthetic test data and experimental samples of dry grass mass production depending on the volume of nitrogen fertilizers. The main advantage of the method lies in the simplicity of theoretical proof and the small number of theoretical constraints on the input parameters of the problem. Unlike Generalized Least Squares, the proposed method deterministically converges to the absolute minimum, thanks to the use of the DIRECT algorithm. It can account for heteroscedasticity and does not require manual tuning of optimization parameters to ensure convergence. Considerations for possible extensions of the method to multifactorial regression analysis and potential improvements for heteroscedasticity estimation are also presented.

The course of the pulmonary embolism in patients with oncological diseases

The aim – to identify factors associated with in-hospital mortality among patients with acute pulmonary embolism (PE) and oncological diseases. Materials and methods. A retrospective analysis of 647 medical records of patients with acute PE treated at one center from January 1, 2018, to January 1, 2020, was conducted. Among them, 115 patients had verified oncological diseases. PE diagnosis in all patients was confirmed by computed tomography and/or autopsy results. Alongside laboratory studies, patients underwent ultrasound examination. Results and discussion. A comparative assessment of clinical and anamnestic parameters in patients with PE, depending on the presence of oncological diseases, was conducted. The analysis revealed that patients with PE associated with oncological process were on average 5 years older, with higher proportion of elderly patients, and less frequently had anamnestic episodes of venous thrombosis (13.9 % vs. 24.6 %), but predictably more often had additional risk factors, such as blood transfusions, central venous catheters, and laparoscopic interventions. According to the results of the multifactorial regression analysis, factors independently influencing the risk of in-hospital death in patients with acute PE and oncological diseases included decrease of blood pressure, saturation, an increase of the pulmonary artery pressure, leukocytosis and presence of atrial fibrillation. The ROC analysis results allowed determining threshold values of parametric indicators associated with the risk of death during the hospital period in a patient with PE and oncological diseases, i.e. blood pressure ≤ 105 mm Hg, SpO2 ≤ 87 %, pulmonary artery pressure &gt; 48 mm Hg, and leukocyte count &gt; 9.8  109/l. Conclusion. The risk factors of in-hospital death in patients with PE associated with oncological disease are atrial fibrillation, increased pulmonary artery pressure, leukocyte count, low blood pressure and saturation.

Cerebral blood flow changes in maintenance hemodialysis patients with restless legs syndrome and their clinical significance:a cross-sectional case-control study

ObjectiveRestless legs syndrome (RLS) stands as a prevalent neurological complication within maintenance hemodialysis (MHD) patients. However, the alterations in cerebral blood flow (CBF) among MHD-RLS patients remain uncharted. Through the utilization of the arterial spin labeling (ASL) technique, we evaluated the fluctuations in CBF within distinct brain regions and analyzed the risk factors for the development of RLS in MHD patients in the context of the clinic.MethodsThirty-one MHD patients with concomitant RLS (MHD-RLS group) and thirty-one non-RLS patients matched based on age, gender, as well as cognitive function (MHD-nRLS group) were included. Through image preprocessing and data analysis, the changes in CBF values in distinct brain regions were obtained, and the CBF values of brain regions with substantial differences between the two groups were correlated with the RLS scores. Furthermore, the differences in baseline data were compared, and through the utilization of multifactorial logistic regression, the independent risk factors for the development of RLS were examined.ResultsCompared with the MHD-nRLS group, the MHD-RLS group had increased CBF in the right superior temporal gyrus, reduced CBF in the right hippocampus, left middle frontal gyrus, inferior frontal gyrus of right triangle, middle frontal gyrus of left orbit, left precentral gyrus, and left precuneus. Only left precentral gyrus CBF were negatively correlated with RLS scores after correction for dialysis duration(r = -0.436, P = 0.016). Accordingly, multifactorial regression analysis by stepwise method yielded that the left precentral gyrus CBF values(OR: 0.968, 95%CI: 0.944–0.993, P = 0.012) remained an independent risk factor for RLS in MHD patients. In addition, the results showed that hemodialysis duration (OR: 1.055, 95%CI: 1.014–1.098, P = 0.008) and serum iron levels (OR: 0.685, 95%CI: 0.551–0.852, P = 0.001) were also risk factors for the development of RLS.ConclusionPatients afflicted with MHD-RLS exhibit alterations in CBF across several brain regions. Notably, the left precentral gyrus might serve as a pivotal region influencing the onset of RLS among MHD patients. Furthermore, extended hemodialysis duration and a relative insufficiency in serum iron levels independently contribute as risk factors for RLS development within the MHD patient population.

A new nomogram model for the individualized prediction of mild cognitive impairment in elderly patients with type 2 diabetes mellitus.

A high risk of developing mild cognitive impairment (MCI) is faced by elderly patients with type 2 diabetes mellitus (T2DM). In this study, independent risk factors for MCI in elderly patients with T2DM were investigated, and an individualized nomogram model was developed. In this study, clinical data of elderly patients with T2DM admitted to the endocrine ward of the hospital from November 2021 to March 2023 were collected to evaluate cognitive function using the Montreal Cognitive Assessment scale. To screen the independent risk factors for MCI in elderly patients with T2DM, a logistic multifactorial regression model was employed. In addition, a nomogram to detect MCI was developed based on the findings of logistic multifactorial regression analysis. Furthermore, the accuracy of the prediction model was evaluated using calibration and receiver operating characteristic curves. Finally, decision curve analysis was used to evaluate the clinical utility of the nomogram. In this study, 306 patients were included. Among them, 186 patients were identified as having MCI. The results of multivariate logistic regression analysis demonstrated that educational level, duration of diabetes, depression, glycated hemoglobin, walking speed, and sedentary duration were independently correlated with MCI, and correlation analyses showed which influencing factors were significantly correlated with cognitive function (p <0.05). The nomogram based on these factors had an area under the curve of 0.893 (95%CI:0.856-0.930)(p <0.05), and the sensitivity and specificity were 0.785 and 0.850, respectively. An adequate fit of the nomogram in the predictive value was demonstrated by the calibration plot. The nomogram developed in this study exhibits high accuracy in predicting the occurrence of cognitive dysfunction in elderly patients with T2DM, thereby offering a clinical basis for detecting MCI in patients with T2DM.

Market Risk Analysis - Microeconomic Aspect of Vegetable Farms in Guri i Zi Administrative Unit, Shkodër in Albania

The risk of entrepreneurship in agriculture is complex. The purpose of this study is to identify and analyze the primary market risks that farmers face, which will help them better understand these risks and make informed decisions to mitigate them. The research uses a mixed methodology involving descriptive statistical analysis and multifactorial regression analysis to examine four critical risk factors: changes in consumer preferences, price fluctuations, high competition, and shifts in consumer incomes. The findings show that only high market competition is statistically significant and has a substantial impact of 79%. Farmers can use this information to adjust their production focus towards areas of comparative advantage in a single crop to improve their financial stability. In summary, market risk analysis is an essential tool that empowers farmers to understand and manage risks effectively to safeguard their income streams.

Associations Among Psychological Resilience, Self-Esteem, Social Support, and Non-Suicidal Self-Injury Behaviors in Adolescents Receiving Inpatient Psychiatric Care.

To explore associations among psychological resilience, self-esteem, social support, and non-suicidal self-injury (NSSI) behaviors in adolescents receiving inpatient psychiatric care. In this cross-sectional study, 505 Chinese adolescents (aged 10 to 19 years) receiving inpatient psychiatric care completed a general characteristics questionnaire, the Psychological Resilience Scale (PRS), Self-Esteem Scale (SES), and Child and Adolescent Social Support Scale (CASSS). Statistical tests were used to compare NSSI incidence, scale scores, and factors influencing NSSI. The incidence rate of NSSI was 77.82% (n = 393). Total and dimension scores on the PRS, SES, and CASSS in the NSSI group were significantly lower than those in the non-NSSI group (p < 0.01). Binary logistic multifactorial regression analysis showed that participants who were female and aged 10 to 14 years were more prone to NSSI behavior (p < 0.05). Having close friends, high parental expectations, and moderate to high self-esteem were protective factors for NSSI behavior (p < 0.05). Nursing personnel should prioritize enhancing psychological resilience, self-esteem, and social support in adolescents receiving inpatient psychiatric care to mitigate the risk of NSSI and ensure the safety of hospitalized individuals. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.].

Obstetric and Neonatal Outcomes Following Hospital Transfers of Home Births and Births in Midwife-led Units in Austria.

Home births and births in midwife-led units and the associated potential risks are still being debated. An analysis of the quality of results of planned home births and births in midwife-led units which require intrapartum transfer of the mother to hospital provides important information on the quality of processes during births which occur outside hospital settings. The aim of this study was to analyze neonatal and maternal outcomes after the initial plan to deliver at home or in a midwife-led unit had to be abandoned and the mother transferred to hospital. The method used was an analysis of data obtained from the Austrian Birth Registry. The dataset consisted of singleton term pregnancies delivered in the period from 1 January 2017 to 31 December 2021 (n=286056). For the analysis, two groups were created for comparison (planned hospital births and hospital births recorded in the Registry as births originally planned as home births or births in midwife-led units but which required a transfer to hospital) and assessed with regard to previously defined variables. Data were analyzed using frequency description, bivariate analysis and regression models. In Austria, an average of 19% of planned home births have to be discontinued and the mother transferred to hospital. Home births and births in midwife-led units which require transfer of the mother to hospital are associated with higher intervention rates intrapartum, high rates of vacuum delivery, and higher emergency c-section rates compared to planned hospital births. Multifactorial regression analysis showed significantly higher risks of poorer scores for all neonatal outcome parameters (Apgar score, pH value, transfer rate). If a birth which was planned as a home delivery or as a delivery in a midwife-led unit fails to progress because of (possible) anomalies, the midwife must respond and transfer the mother to hospital. This leads to a higher percentage of clinical interventions occurring in hospital. From the perspective of clinical obstetrics, it is understandable, based on the existing data, that giving birth outside a clinical setting cannot be recommended.

Preferences in the use of overabundance: predictors of lexical bias in Estonian

Abstract This study of morphological overabundance focuses on the (non-)synonymy of parallel forms in Estonian illative case (‘into’) and the type of entrenchment behind it. We focus on the lexical level, testing whether the form preferred for a lexeme depends on semantic or morphophonological factors, or both. Using multifactorial regression analyses, we compare three corpus datasets: lexemes biased toward long forms, those biased toward short forms and lexemes with balanced form distribution. This is the first study to investigate realised overabundance in this way, and to include inflection class membership in the model, enabling us to test whether declension class subsumes the morphophonological factors found to affect form preference in previous studies. The analysis shows that cell token frequency and inflection class are significant predictors of form preference, while the lexical-semantic features included in the study do not affect formative choice, highlighting the role of cell entrenchment instead of formative entrenchment in guiding form use. In conclusion, the study highlights the important role of inflection class (morphophonology) in the general shaping of form usage patterns in parallel forms and the weak role of semantic factors on the lexical level.

A dynamic nomogram for predicting intraoperative brain bulge during decompressive craniectomy in patients with traumatic brain injury: a retrospective study.

The aim of this paper is to investigate the risk factors associated with intraoperative brain bulge (IOBB), especially the computed tomography (CT) value of the diseased lateral transverse sinus, and to develop a reliable predictive model to alert neurosurgeons to the possibility of IOBB. A retrospective analysis was performed on 937 patients undergoing traumatic decompressive craniectomy. A total of 644 patients from Fuzong Clinical Medical College of Fujian Medical University were included in the development cohort, and 293 patients from the First Affiliated Hospital of Shantou University Medical College were included in the external validation cohort. Univariate and multifactorial logistic regression analyses identified independent risk factors associated with IOBB. The logistic regression models consisted of independent risk factors, and receiver operating characteristic curves, calibration, and decision curve analyses were used to assess the performance of the models. Various machine learning models were used to compare with the logistic regression model and analyze the importance of the factors, which were eventually jointly developed into a dynamic nomogram for predicting IOBB and published online in the form of a simple calculator. IOBB occurred in 93/644 (14.4%) patients in the developmental cohort and 47/293 (16.0%) in the validation cohort. Univariate and multifactorial regression analyses showed that age, subdural hematoma, contralateral fracture, brain contusion, and CT value of the diseased lateral transverse sinus were associated with IOBB. A logistic regression model (full model) consisting of the above risk factors had excellent predictive power in both the development cohort [area under the curve (AUC)=0.930] and the validation cohort (AUC=0.913). Among the four machine learning models, the AdaBoost model showed the best predictive value (AUC=0.998). Factors in the AdaBoost model were ranked by importance and combined with the full model to create a dynamic nomogram for clinical application, which was published online as a practical and easy-to-use calculator. The CT value of the diseased lateral transverse is an independent risk factor and a reliable predictor of IOBB. The online dynamic nomogram formed by combining logistic regression analysis models and machine learning models can more accurately predict the possibility of IOBBs in patients undergoing traumatic decompressive craniectomy.