Logistic Regression Model Analysis Research Articles

Immune function status of postoperative patients with colon cancer for predicting liver metastasis.

Colon cancer (CC) has a high incidence rate. Radical resection is the main treatment method for CC; however, liver metastasis (LM) often occurs post-surgery. The liver contains both innate and adaptive immune cells that monitor and remove abnormal cells and pathogens. Before LM, tumor cells secrete cytokines and exosomes to adjust the immune microenvironment of the liver, thus forming an inhibitory immune microenvironment for colonization by circulating tumor cells. This indicates that the immune state of patients with CC plays a crucial role in the occurrence and progression of LM. To observe and analyze the relationship between immune status and expression of tumor factors in patients with LM of CC, and to provide a scientific intervention method for promoting the patient prognosis. A retrospective analysis was performed. The baseline data of 100 patients with CC and 100 patients with CC who suffered from postoperative LM and were admitted to our hospital from May 2021 to May 2023 were included in the non-occurrence and occurrence groups, respectively. The immune status of the patients and the expression of tumor factor-related indicators in the two groups were compared, and the predictive value of the indicators for postoperative LM in patients with CC was analyzed. Compared with the non-occurrence group, the expression of serum carcinoembryonic antigen (CEA), CA19-9, CA242, CA72-4 and CA50 in patients in the occurrence group were significantly higher, while the expression of CD3+, CD4+, CD8+, natural killer (NK) and CD4+/CD25 in patients in the occurrence group were significantly lower (P < 0.05). No significant difference was observed in other baseline data between groups (P > 0.05). Multivariate logistic regression model analysis revealed that the expressions of CEA, CA19-9, CA242, CA72-4, CA50, CD3+, CD4+, CD8+, NK, and CD4+/CD25 were associated with the LM in patients with CC. High expressions of serum CEA, CA19-9, CA242, CA72-4 and CA50, and low expressions of CD3+, CD4+, CD8+, NK, and CD4+/CD25 in patients with CC were risk factors for LM (OR > 1, P < 0.05). The receiver operating characteristic curve showed that the area under curve for CEA, CA19-9, CA242, CA72-4, CA50, CD3+, CD4+, CD8+, NK, and CD4+/CD25 in the prediction of LM in patients with CC were all > 0.80, with a high predictive value. The expression of tumor factors and immune state-related indices in patients with CC is closely associated with the occurrence of LM.

Prevalence of vitamin D deficiency and its association with cardiometabolic risk factors among healthcare workers in the Eastern Cape province, South Africa; cross-sectional study

This study assesses the prevalence of Vitamin D deficiency and its potential association with cardiometabolic risk factors among South African adults residing in the Eastern Cape province. In this cross-sectional study, 1244 healthcare workers (HCWs) completed a self-administered questionnaire and venous blood samples were drawn at two academic hospitals in the Eastern Cape. History of hypertension and diabetes mellitus were self-reported. Participants were categorised as obese if their body mass index (BMI) ≥ 30 kg/m2. Participants were classified as having metabolic syndrome if they had hypertension, diabetes mellitus and obesity. Vitamin D [25(OH)D] deficiency was defined as venous blood concentrations < 50 nmol/L. Associations between vitamin D deficiency and participants’ characteristics were assessed using multivariate logistic regression model analysis. The prevalence of vitamin D deficiency was 28.5% (n = 355), of whom 292 were female. Among the participants who were deficient in vitamin D, the prevalence of obesity, diabetes mellitus, hypertension, chronic kidney disease, and metabolic syndrome was 64.9% (n = 230), 9% (n = 32), 16.6% (n = 59), 2.3% (n = 8) and 18% (n = 64), respectively. In the adjusted multivariate logistic regression model, black Africans (AOR = 2.87; 95% CI 1.52–5.43) and individuals ≥ 42 years (AOR = 1.37; 95% CI 1.07–1.77) were more likely to exhibit vitamin D deficiency. However, there was no significant association by age, sex, and cardiometabolic markers. More than one in four healthcare workers was deficient in vitamin D among the study sample, especially the black Africans and older individuals. Further studies are needed at the population level to elucidate on the vitamin D status in the region.

Effect of repeated vitrification of human embryos on pregnancy and neonatal outcomes

BackgroundRepeated cryopreservation of embryos should occasionally be considered when embryos were not suitable for transfer. The effect of re-cryopreservation on embryos remains contentious.MethodsThis retrospective cohort study aimed to evaluate the pregnancy and neonatal outcomes of twice vitrificated blastocyst derived from once vitrified embryos. Total 410 vitrified-warmed blastocyst transfer cycles were divided into two groups according to the times of embryo vitrification: (1) vitrified blastocysts derived from fresh blastocysts (control group, n = 337); (2) twice vitrified blastocysts derived from once vitrified embryos (n = 73). The primary outcome was live birth rate. Multivariable logistic or linear regression analysis model was performed to describe the association between embryo cryopreservation times and clinical outcomes.ResultsNo difference was observed in female age at retrieval and transfer, infertility period, body mass index (BMI), infertility type, endometrial thickness, and embryo transfer numbers between the two groups. The pregnancy outcomes of embryos in repeated cryopreservation group were comparable to those of embryos in control group, including implantation rate, clinical pregnancy rate, and live birth rate. In multivariate logistic regression analysis, the cryopreservation times did not affect the outcomes of biochemical pregnancy, clinical pregnancy, and live birth. Moreover, there was no difference in gestational age, birthweight and sex ratio of singleton newborns between groups. After correcting several possible confounding variables, no significant association was observed between cryopreservation times and neonatal birthweight.ConclusionIn conclusion, pregnancy and neonatal outcomes achieved with twice vitrified blastocyst transfer were comparable to those achieved with vitrified blastocyst transfer in control group.

Nutrition and Health in Arab Adolescents (NaHAR): Study protocol for the determination of ethnic-specific body fat and anthropometric cut-offs to identify metabolic syndrome.

The prevalence of adolescent obesity in the Middle-East is considered among the highest in the world. Obesity in adolescents is associated with several cardiometabolic abnormalities, the constellation of which is referred to as the metabolic syndrome (MetS). This multi-country cross-sectional study aims to determine the optimal cut-off values for body fat (BF); body mass index (BMI) z-score; waist circumference (WC) percentile, and mid-upper arm circumference (MUAC) for the prediction of MetS among adolescents from Kingdom of Saudi-Arabia (KSA), Kuwait, Jordan, Lebanon and Syria. A secondary objective is to examine the validity of Bioelectrical Impendence Vector Analysis (BIVA) in estimating BF against the deuterium dilution technique (DDL). In each country, a sample of 210 adolescents will be recruited. Data collection will include demographics, socioeconomic, lifestyle and dietary data using a multi-component questionnaire; anthropometric measurements will be obtained and body composition will be assessed using the DDL and BIVA; blood pressure and biochemical assessment will be performed for the identification of the MetS. Receiver operating characteristic analyses will be undertaken to determine optimal cut-off values of BMI, WC, MUAC and BF in identifying those with MetS. Odds ratios (OR) and their respective 95% confidence interval (CI) for the association of the anthropometric measurements with MetS will be computed based on multiple logistic regression analysis models. The Bland and Altman approach will be adopted to compare BIVA against the reference DDL method for the determination of body composition parameters. This study responds to the need for ethnic-specific anthropometric cut-offs for the identification of excess adiposity and associated cardiometabolic risks in the adolescent population. The adoption of the generated cut-offs may assist policy makers, public health professionals and clinical practitioners in providing ethnic-specific preventive and curative strategies tailored to adolescents in the region.

Sustainable Development Goals and Board Structure: Connecting the Dots in The Energy Sector

Purpose: Framed on the Resource-Based View, the objective of this research was to investigate the effect of the structure of the board of directors on the engagement of firms with the sustainable development goals (SDG). Theoretical framework: Resource-Based View (RBV) and Sustainable development goals. Method: 100 firms in the energy sector based in the main emerging economies of the world were analyzed. To test the proposed hypotheses, an analysis of panel data and logistic regression model was performed. Result and Conclusion: The board structure in emerging countries plays a key role for firms to achieve greater engagement with the SDGs. The board size has a negative effect on SDGs, while the presence of social responsibility and audit committees has a positive effect on firms’ engagement with the SDGs. Research implications: It is necessary to consider committees as key configurations of the board structure, even if these are not mandatory in terms of regulation. Establishing, strengthening and encouraging the maintenance of committees focused on sustainability practices is to contribute to promising organizational results and to the reduction of negative externalities. Originality: In addition to confirming the Resource-Based View approach, our study examines the energy sector, which is one of the main agendas for discussions on climate change at a global level. We address the understanding of SDG in business, a field of research still in an embryonic stage. Although several studies have analyzed a variety of contexts together, we focused on emerging economies, bringing specific evidence to the sample countries.

Prevalence of Steroid-Induced Hyperglycemia in King Abdulaziz Specialist Hospital, Taif City, Saudi Arabia.

Background Hyperglycemia is a common side effect of high-dose steroid therapy in hospitalized patients. Objectives To assess the prevalence of hyperglycemia among hospitalized patients receiving steroid therapy. Methods A retrospective study was conducted among 245 patients. The inclusion criteria were patients undergoing steroid therapy and admitted to a single tertiary care hospital due to medical complications or exacerbation of the diseases they were suffering from. Data encompassing patient demographics, admission, discharge dates, comorbidities, medication histories, laboratory results (including blood glucose levels), and documented corticosteroid administrations were meticulously gathered from electronic health records (EHRs). A logistic regression model analysis was done to predict the risk factors of poor glycemic control among hospitalized patients. Results The prevalence of hyperglycemia among the patients who were on steroid therapy was 34.2%. About 70.7% of the patients who required insulin at the time of admission required >17 units, and the insulin requirement was significantly higher among patients who received dexamethasone compared to other steroids (p<0.05). Older age (>65 years) was found to be independently associated with poor glycemic control (p<0.05). Conclusion The study revealed that almost one-third of patients on steroid therapy had hyperglycemia. Monitoring of patients for hyperglycemia after beginning high-dose steroid therapy should be done.

Peri-implantation estradiol level has no effect on pregnancy outcome in vitro fertilization- embryo transfer.

The necessity of monitoring luteal endocrine functions in in vitro fertilization- embryo transfer (IVF-ET) remains uncertain. Specifically, the significance of luteal phase estradiol (E2) levels is a matter of debate in current literature. To assess the impact of luteal phase (day 11 after HCG trigger) estradiol levels on IVF-ET outcomes. Twelve thousand five hundred and thirty-five (n = 12,535) IVF-ET cycles performed in our center between 2015 and 2021 were divided into 5 groups based on the middle and late luteal phase serum E2 (MllPSE2) level percentiles as follows: Group A < 50 pg/mL (N=500), group B 50 pg/mL≤E2<150 pg/mL (N=2545), group C 150 pg/mL≤E2<250 pg/mL (N=1327), group D 250 pg/mL≤E2<500 pg/mL (N=925), group E E2≥500 pg/mL (n=668). The clinical pregnancy rates, abortion rates, and live birth rates of each group were compared. Binary logistic regression analysis was carried out to assess the potential impact of MllPSE2 on the live birth rate (LBR). No significant differences were found in various parameters when comparing the five groups. The level of MllPSE2 showed no significant difference between the pregnant group and the non-pregnant group. The binary logistic regression analysis model demonstrated that MllPSE2 was not significantly related to LBR. The influence of E2 during the peri-implantation period (day 11) on clinical outcome in IVF-ET is not affected, even if E2<50 pg/mL. It is speculated that ovarian-derived E2 in MllPSE2 is not deemed necessary for endometrial receptivity. Although caution is warranted due to the retrospective nature of the analysis and the potential for unmeasured confounding, it is argued that the need for luteal E2 monitoring in IVF-ET may be of questionable value.

Bioinformatics identification of potential biomarkers and therapeutic targets for ischemic stroke and vascular dementia

Ischemic stroke and vascular dementia, as common cerebrovascular diseases, with the former causing irreversible neurological damage and the latter causing cognitive and memory impairment, are closely related and have long received widespread attention. Currently, the potential causative genes of these two diseases have yet to be investigated, and effective early diagnostic tools for the diseases have not yet emerged. In this study, we screened new potential biomarkers and analyzed new therapeutic targets for both diseases from the perspective of immune infiltration. Two gene expression profiles on ischemic stroke and vascular dementia were obtained from the NCBI GEO database, and key genes were identified by LASSO regression and SVM-RFE algorithms, and key genes were analyzed by GO and KEGG enrichment. The CIBERSORT algorithm was applied to the gene expression profile species of the two diseases to quantify the 24 subpopulations of immune cells. Moreover, logistic regression modeling analysis was applied to illustrate the stability of the key genes in the diagnosis. Finally, the key genes were validated using RT-PCR assay. A total of 105 intersecting DEGs genes were obtained in the 2 sets of GEO datasets, and bioinformatics functional analysis of the intersecting DEGs genes showed that GO was mainly involved in the purine ribonucleoside triphosphate metabolic process，respiratory chain complex，DNA−binding transcription factor binding and active transmembrane transporter activity. KEGG is mainly involved in the Oxidative phosphorylation, cAMP signaling pathway. The LASSO regression algorithm and SVM-RFE algorithm finally obtained three genes, GAS2L1, ARHGEF40 and PFKFB3, and the logistic regression prediction model determined that the three genes, GAS2L1 (AUC: 0.882), ARHGEF40 (AUC: 0.867) and PFKFB3 (AUC: 0.869), had good diagnostic performance. Meanwhile, the two disease core genes and immune infiltration were closely related, GAS2L1 and PFKFB3 had the highest positive correlation with macrophage M1 (p < 0.001) and the highest negative correlation with mast cell activation (p = 0.0017); ARHGEF40 had the highest positive correlation with macrophage M1 and B cells naive (p < 0.001), the highest negative correlation with B cell memory highest correlation (p = 0.0047). RT-PCR results showed that the relative mRNA expression levels of GAS2L1, ARHGEF40, and PFKFB3 were significantly elevated in the populations of both disease groups (p < 0.05). Immune infiltration-based models can be used to predict the diagnosis of patients with ischemic stroke and vascular dementia and provide a new perspective on the early diagnosis and treatment of both diseases.

Preoperative low plasma creatine kinase levels predict worse survival outcomes in bladder cancer after radical cystectomy.

To evaluate the prognostic significance of preoperative creatine kinase (CK) levels in bladder cancer (BCa) patients who underwent radical cystectomy (RC). 570 BCa patients with RC were identified between 2010 and 2020. 108.5U/L of CK levels were defined as the cutoff value. Logistic regression analysis and Cox regression models were performed to evaluate the association between CK levels and oncologic outcomes. Subgroup analyses were performed to address cofounding factors. Preoperative low CK levels were associated with worse recurrence-free survival (RFS, log-rank P = 0.001) and overall survival (OS, log-rank P = 0.002). Multivariate analysis revealed that preoperative low CK levels were an independent predictor for worse RFS (hazard ratio [HR]: 1.683; P < 0.001) and OS (HR: 1.567; P = 0.002). The preoperative low CK level independently predicts worse survival outcomes in BCa after RC. Incorporating it into prediction models might be valuable to assist risk stratification.

Abstract B042: Analysis of predictive indicators of invasive breast cancer: Modeling survival rates

Abstract Objective: We aim to investigate indicators of risk for invasive breast cancer (IBC) and to predict and assess the impact of these risk indicators on survival rates in breast cancer (BC) patients who received various therapies. Background: It has been identified that several indicators including BC subtypes, age at diagnosis, history of breast disease, menopausal status, estrogen receptor (ER) status, progesterone receptor (PR) status, human epidermal growth receptor (HER2) status, tumor stage, tumor size, among others, can cause genomic alterations and driver mutations in BC, leading to invasive carcinogenesis. To assure improved BC outcomes, we investigate the influence of BC indicators on survival rates in patients receiving hormone therapy, chemotherapy and radiotherapy. Methods: This study uses the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset, which included 31 clinical indicators, m-RNA levels z-score for 331 genes, and mutation in 175 genes for 1904 BC patients. Both bivariate and multivariate associations were examined using logistic regression and Cox proportional hazard models. The multivariate logistic regression analysis is used to determine predictors of IBC. The Cox proportional hazard model was also used to evaluate the magnitude of the impacts of clinical and demographic variables on IBC, as well as the effects of therapy on survival. All analyses for this investigation were carried out using SAS. A p-value &amp;lt; 0.05 was considered statistically significant. Results: We examined 1,043 patients (with the median age 61±13.1 years) from a total of 1904 for this study: 78.8% of patients had breast invasive ductal carcinoma; 87.4% were HER2 negative; 22.8%, 60.7%, and 67.6% received chemotherapy, hormone therapy, and radiotherapy treatments, respectively; 56.9% died but only 34.6% died from the disease; the average overall survival months was 127.3±77.6 months; and the most common age group was "65+ years" (39.4%). Chemotherapy (p=0.0474), neoplasm histologic grade (p=0.0015), Nottingham prognostic index (p&amp;lt;.0001), radiation (p=0.0068), and BReast CAncer gene 1 (BRCA1) (p=0.0251) were all associated with IBC. Overall survival was also correlated to age at diagnosis (p=0.0002), neoplasm histologic grade (p&amp;lt;.0001), lymph nodes (p&amp;lt;.0001), mutation count (p&amp;lt;.0001), Nottingham prognostic index (p&amp;lt;.0001), radiotherapy (p=0005), tumor size (p&amp;lt;.0001), tumor stage (p&amp;lt;.0001), BRCA1 (p=0.250), PTEN (p&amp;lt;.0001), and TP53 (p=0.0248). The overall accuracy of the model for each IBC and survival status was 82.1% and 74.2%, respectively. Conclusion: Our analysis demonstrated the importance of predictive analysis using the logistic regression model and survival analysis using the Cox proportional hazard model in cancer research. Predictive and survival analysis results aided in predicting the invasiveness and survival rate of BC among the study participants. In general, predictive and survival analyses are more accurate and may be used to make more realistic treatment decisions and precision oncology. Citation Format: Olumide Arigbede, Gebre-Egziabhe Kiros. Analysis of predictive indicators of invasive breast cancer: Modeling survival rates [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Cancer Evolution and Data Science: The Next Frontier; 2023 Dec 3-6; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_2):Abstract nr B042.

Factors Related to Musculoskeletal Disorders Among Hospital Nurses

Nurses are a high-risk group for musculoskeletal disorders. Few studies conducted in Taiwan have been published regarding the relationships among work characteristics, psychological well-being, and musculoskeletal discomfort in nursing personnel. This study was designed to investigate musculoskeletal discomfort among hospital nursing staff, as well as its associated factors. A secondary data analysis design was used to examine hospital staff health survey data for 2018 from two regional hospitals in southern Taiwan. Data from 328 full-time nurses who had passed their probationary period and been employed for more than 6 months were included in the analysis, which was conducted using a logistic regression model. The prevalence of musculoskeletal disorders was found to be highest in the shoulders (73.8%), lower back (72.9%), and neck (64.0%), respectively. Number of sleep hours, work stress, confidence in dealing with work stress, workload, supervisor support, workplace justice, and depression level differed significantly between the groups with and without full-body musculoskeletal disorders (p < .05). The results of the logistic regression model analysis showed individuals with severe depression have 4.27 times higher odds of experiencing musculoskeletal discomfort compared to those without depression (odds ratio 4.27, 95% confidence interval [1.27, 14.41]). Severe depression was found to be a significant predictor of musculoskeletal disorders. Nurses are at high risk for musculoskeletal disorders. The results of this study indicate that level of risk is influenced significantly by psychological well-being, work environment, and workload. Efforts should be made to improve the relevant risk factors in the workplace to reduce the incidence of musculoskeletal disorders among nurses.

Association of aggressive prostate cancer features on whole-mount histopathology and quantitative measures on PSMA PET.

289 Background: The intraductal carcinoma (IDC) and the large cribriform growth pattern (LCP) are two architectural patterns of prostate cancer (PC) associated to more aggressive disease, high Gleason scores, advanced tumor stage, biochemical relapse, and distant metastasis. Predicting the presence of these pathology features could be of significant help in case whole-mount pathology (WMHP) is not available. The goal of this analysis was to assess the distribution of quantitative parameters from 68Ga-PSMA-11 PET/CT (PSMA PET) in lesions with and without LCP/IDC patterns on WMHP. We assessed the ability of pre-surgical PSMA PET imaging to predict the presence of aggressive pathology features. Methods: With IRB approval and HIPAA compliance, we derived a study cohort of PC patients who underwent PSMA PET prior to robotic radical prostatectomy (RALP). WMHP analysis described presence/absence of LCP and IDC patterns in each identified PC lesion. Board-certified physicians contoured all PC lesions on PSMA PET. Only lesions matching with WMHP were included in the analysis. PSMA PET metrics (SUVmax, SUVmean and PSMA-volume) were extracted. All lesions were categorized in sub-cohorts as LCP+/IDC+, LCP+/IDC-, LCP-/IDC-, and LCP-/IDC+. One way-ANOVA assessed significant differences among the imaging parameters in the sub-cohorts. The area under the curve (AUC) from ROC analysis was used to assess the ability of imaging metrics to predict the presence of aggressive PC features on WMHP. Results: The final cohort comprised 155 patients and 177 lesions. The median (IQR) PSA at time of RALP was 9.2 (5.55-15.05). 73/177 lesions (41.2%) were categorized as LCP+/IDC+, 63/177 (35.6%) as LCP-/IDC-, 37/177 (20.9%) as LCP+/IDC-, and 4 (2.3%) as LCP-/IDC-. SUVmax (p=0.007), SUVmean (p=0.048) and lesion size on PSMA PET (p=0.003) were significantly higher in lesions showing LCP, whereas only lesion size was significantly higher in lesions showing IDC (p=0.003). Lesions showing LCP+/IDC- had significantly higher SUVmax (p=0.002) and SUVmean (p=0.001) than lesions showing LCP-/IDC-. SUVmean was significantly higher in LCP+/IDC- than in LCP+/IDC+ (0.043). SUVmax and SUVmean were not significantly different among other sub-cohorts. Lesion size on PSMA PET was significantly higher in LCP+/IDC+ than in LCP-/IDC- (0.009). A logistic regression model analysis showed that PSMA PET quantitative measures predict the presence of LCP and/or IDC with moderate accuracy (AUC= 0.69; p=0.001). Conclusions: Higher SUVmax and SUVmean are found in lesions showing LCP, but not in those showing IDC. A linear regression model including SUVmax, SUVmean and PSMA PET lesion volume was able to predict with moderate accuracy the presence of pathology features of aggressive prostate cancer (AUC: 0.69).

Association Between Serum Anion Gap and Mortality in Critically Ill Patients with COPD in ICU: Data from the MIMIC IV Database.

Serum anion gap (AG) has been proven to be associated with prognosis in critically ill patients. However, few studies have investigated the association between AG and all-cause mortality in critically ill patients with chronic obstructive pulmonary disease (COPD). We hypothesized that the initial AG level would predict the mortality risk in critically ill patients with COPD. This retrospective cohort study was based on the Medical Information Mart for Intensive Care (MIMIC) IV database. We extracted demographics, vital signs, laboratory tests, comorbidity, and scoring systems from the first 24 hours after patient ICU admission. Multivariable logistic regression analysis models were used to explore the association between serum AG levels and mortality. Interaction and stratified analyses were conducted including age, gender and comorbidity. A total of 5531 critically ill patients with COPD were enrolled, composed of 53.6% male and 46.4% female with a median age of 73 years. The all-cause mortality of these patients during ICU hospitalization was 13.7%. The risk of all-cause mortality increased as the AG level increased in the univariate logistic regression analysis (OR=1.13, 95% CI: 1.11-1.15, p<0.01). After adjusting for all the covariates in multivariate logistic regression analysis, the odds ratio was 1.06 (95% CI: 1.04-1.09, p<0.01). Compared with the lowest AG group Q1 (≤11mmol/L), the adjusted OR value for AG and mortality in Q2 (12-13mmol/L) was 0.89 (95% CI: 0.63-1.25, p=0.502), Q3 (14-15mmol/L) was 0.95 (95% CI: 0.68-1.34, p=0.788), and Q4 (≥16mmol/L) was 1.49 (95% CI: 1.10-2.02, p=0.009) respectively. In addition, the results of the subgroup and stratified analyses were robust. AG is positively related to all-cause mortality in critically ill patients with COPD.

Clinical practice competence and associated factors among undergraduate midwifery and nursing sciences students at Bahir Dar city, Northwest Ethiopia

Background: Competence describes actions that will be demonstrated or observed and assessed while competency refers to the skill itself. Following appropriate theoretical and practical training, clinical experience is required to achieve the highest level of clinical competence. It is estimated that many women and newborns die each year due to a lack of qualified health professional around the world. As a result, the purpose of this study was to determine the prevalence and factors influencing clinical competency in the study area. Methods: An Institutional-based cross-sectional study was conducted from 12 August to 12 September 2022, among 403 undergraduate health sciences students of Bahir Dar University. Participants were approached through simple random sampling technique. Data were collected using a pre-tested structured questionnaire through a face-to-face interview, and entered into Epidata version 3.1 and analyzed using SPSS version 22. The prevalence was reported using proportion with 95% CI and summary measures. Predictors were assessed using a multivariable logistic regression analysis model and reported using an adjusted odds ratio (AOR) with 95% CI. Statistical significance was declared at P value less than 0.05. Results: Overall, the prevalence of clinical practice competency was 36.5% [95% CI; 33.5, 39.1]. Students who were provided a logbook (AOR=5.40, 95% CI 2.91, 10.02), adequate clinical cases in the clinical practice placement (AOR=2.72, 95% CI 1.60, 4.60), preceptor show different procedures (AOR=2.50, 95% CI 1.33, 4.71), student’s confidence during conducting procedure (AOR=4.16, 95% CI 1.67, 10.35) and the suitability of the way of teaching to the learning styles of students during skills demonstration (AOR=2.10, 95% CI 1.00, 4.40) were factors statistically associated with clinical practice competence. Conclusions: According to this study, more than three out of every five participants were found to be clinically incompetent. Providing logbooks, adequate clinical cases, preceptors showing different procedures, students’ confidence, and suitability of the way of teaching to the learning styles of students were significantly associated with clinical practice competence. Implementing logbooks, selecting clinical sites, enhancing the confidence of students, preferred teaching/learning styles, and clinical preceptor support were important to improve the clinical competence of students.

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.

Pregnancy Outcomes In Obese Women Who Gave Birth During The Outbreak Of The Covid-19 And Before It

background: Due to its nature, the covid-19 disease can have adverse effects on pregnant mothers, fetuses and newborns. Objective:Therefore, this study was conducted to investigate pregnancy outcomes in obese women who gave birth during the outbreak of the covid-19 and before it. Methods: This is a descriptive-analytical study that was conducted on 444 obese pregnant women in two groups, before and during the outbreak of covid-19, and the outcomes of pregnancy and the role of covid-19 in their development have been investigated. The data were collected through online questionnaires. In order to analyze the data, logistic regression model and odds ratio analysis were performed. Results: According to the independent t-test between the two groups, the average BMI in the two groups was 32.95 and 33.12, respectively. According to the obtained statistics (Pr (T &gt; t) = 0.7076 and t = -0.5469), this difference was not significant. Also, corona-virus infection had no effect on pregnancy outcomes such as gestational vomiting, gestational diabetes, high blood pressure, pre-eclampsia, postpartum hemorrhage and weight gain during pregnancy, but it increases the chances of urinary infections, need to cesarean section and premature delivery, although these increases were not significant. Conclusion: Covid-19 can cause some consequences and outcomes, including premature birth, gestational diabetes, increased body mass index and other dangerous complications for pregnant mothers, fetuses or babies.

Socio-economic status and autism spectrum disorder: A case-control study in Bangladesh

There are unexpectedly a few statistics about the socio-economic status (SES) and related socio-demographic factors (SDFs) of parents having child with ASD in Bangladesh. The prevalence of ASD might correlate with SES and related SDFs. A case-control study was conducted in 24 locations across 21 districts, encompassing all divisions, to assess the association between SES and the risk of developing ASD in Bangladesh. The structured questionnaire was administered through face-to-face interviews with 620 parents of the subject (310 ASD and 310 healthy controls) from January 2020 to June 2021. For univariate, bivariate and multivariate analyses, IBM SPSS version 23 was employed. The significance level was set at P ≤ 0.05, and the Odds Ratio (OR) within a 95 % CI was used to determine whether the variable poses a higher odd or not. After adjusting all significant covariates of binary logistic regression (including some dummy variables) in forward logistic regression model analysis, the higher level of SES, advanced level of father’s education (≥master), 22–35 years old age group of the father, and nuclear family were strongly associated with decreased odds of ASD compared to healthy controls. Only the male gender was strongly associated with an increased odds of ASD compared to the control. The results will aid policymakers in developing plans considering the SES and related SDFs that influence the risk of developing ASD in Bangladesh. Further research using population-based cohorts or nested case-control designs with matched control is necessary to observe and generalize the association.

Higher pre-pregnancy body mass index was associated with adverse pregnancy and perinatal outcomes in women with polycystic ovary syndrome after a freeze-all strategy: Ahistorical cohort study.

Previous studies have demonstrated that abnormal body mass index (BMI) is associated with adverse pregnancy outcomes in frozen-thawed embryo transfer cycles. However, the relationship between BMI and pregnancy and perinatal outcomes in patients with polycystic ovary syndrome (PCOS) remains unclear. Furthermore, whether a diagnosis of PCOS could result in adverse pregnancy and perinatal outcomes in women with different BMIs remains unknown. A historical cohort study included 1667 women with PCOS and 12 256 women without PCOS after a freeze-all policy between January 2016 and December 2020. The outcomes encompassed both pregnancy and perinatal outcomes. Multivariate logistic regression analysis and restricted cubic spline models were performed to eliminate confounding factors when investigating the relationship between BMI and different outcomes. After controlling for covariates, pregnancy outcomes were comparable between underweight women with PCOS and normal weight women with PCOS. However, overweight patients had a lower clinical pregnancy rate and an overall live birth rate. Furthermore, patients with obesity had a lower rate of multiple pregnancies but a higher rate of biochemical pregnancy than in the normal BMI group. Additionally, the restricted cubic spline models showed that as maternal BMI increased to 32 kg/m2, the clinical pregnancy rate and live birth rate after blastocyst transfer decreased, but the risks of preterm birth, gestational diabetes mellitus, macrosomia, large-for-gestational age (LGA) and very LGA increased in patients with PCOS after a freeze-all strategy. Moreover, a diagnosis of PCOS resulted in a higher clinical pregnancy rate and live birth rate and a higher risk of small-for-gestational age in the normal weight group. However, women with PCOS in the overweight group exhibited higher risks of very preterm birth and gestational diabetes mellitus compared with women without PCOS. This study showed that a higher BMI had a detrimental impact on the pregnancy and perinatal outcomes of PCOS patients undergoing a freeze-all strategy. However, it was only statistically significant in the overweight group. A diagnosis of PCOS had a higher clinical pregnancy rate and live birth rate in normal weight women but higher risks of perinatal complications in normal weight and overweight women.

The relationship between alcohol consumption and chronic kidney disease in patients with nonalcoholic fatty liver disease

Objective: To examine the impact of moderate alcohol consumption on the progression of chronic kidney disease (CKD) in individuals diagnosed with non-alcoholic fatty liver disease (NAFLD), as NAFLD has been identified as an autonomous risk factor for CKD and previous research has demonstrated a reduction in overall mortality in NAFLD patients who consume alcohol in moderation. Methods: This study included participants from ten consecutive rounds of the National Health and Nutrition Examination Survey (NHANES:1998–2018). Multivariate logistic regression models were employed to assess the impact of moderate alcohol consumption on chronic kidney disease (CKD) in both male and female populations. Subgroup analysis was conducted by categorizing patients with non-alcoholic fatty liver disease (NAFLD) based on the Fibrosis-4 (FIB-4) index. Results: 17040 participants were eligible to be included in the study. The logistic regression analysis model showed that moderate alcohol consumption was a protective factor for CKD in male NAFLD patients, with an unadjusted OR: 0.37 (0.22,0.65), and p < 0.001. After further adjustment, the association persisted. However, the association was not significant in female patients with NAFLD. Among men with low risk of liver fibrosis group, moderate alcohol consumption remained a protective factor for CKD (OR = 0.32, 95% CI 0.12–0.84, p = 0.02), but the association was not significant in the high risk of liver fibrosis group. In female patients, both moderate alcohol consumption and excessive alcohol consumption were not significantly associated with CKD in either the low-risk group or the high-risk group. Conclusion: Moderate alcohol consumption is associated with a lower prevalence of CKD in men with NAFLD.

Analysis of clinical characteristics and risk factors of postoperative complications in infants with early-onset necrotizing enterocolitis after enterostomy

Objective: To investigate the clinical characteristics of children with early-onset necrotizing enterocolitis (NEC) undergoing enterostomy and analyze the risk factors for postoperative complications. Methods: Retrospective analysis was conducted on the clinical data (perinatal conditions, clinical characteristics, clinical outcomes, etc.) of NEC patients who underwent enterostomy at Beijing Children's Hospital from May 2016 to May 2023. The patients were divided into two groups based on the age of onset: an early-onset enterostomy group (<14 days) and a late-onset enterostomy group (≥14 days). Furthermore, the children with NEC were categorized into complication group and non-complication group based on whether there were complications after enterostomy. The differences in clinical data between these groups were analyzed, and the clinical characteristics of children with early-onset NEC and enterostomy were summarized. Multivariate logistic regression model was employed to analyze the risk factors for postoperative complications in NEC children with enterostomy. Results: A total of 68 cases were enrolled, including 43 cases in the early-onset enterostomy group [26 males and 17 females, aged (6.5±3.0) days] and 25 cases in the late-onset enterostomy group [15 males and 10 females, aged (21.0±3.0) days]. There were 28 cases (17 males and 11 females), age [M (Q1, Q3)] 9 (5, 14) days in the complication group and 33 cases (22 males and 11 females), aged of 14 (6, 21) days in the non-complication group. Compared to the late-onset enterostomy group, the early-onset enterostomy group had significantly higher rates of intraventricular hemorrhage [30.2% (13/43) vs 8.0% (2/25)], hemodynamically significant patent ductus arteriosus [37.2% (16/43) vs 12.0% (3/25)], mechanical ventilation≥72 hours after birth [39.5% (17/43) vs 16.0% (4/25)], stage Ⅲ NEC [(69.8% (30/43) vs 40.0% (10/25)], extensive NEC [27.9% (12/43) vs 8.0% (2/25)], and short-term postoperative complications [56.8% (21/37) vs 29.2% (7/24)] (all P<0.05).Multivariate logistic regression model analysis revealed that residual length of proximal small intestine was a protective factor for postoperative complications after enterostomy in NEC infants (OR=0.764, 95%CI: 0.648-0.901, P=0.001), but stage Ⅲ NEC was a risk factor (OR=1.042, 95%CI: 1.004-5.585, P=0.017). Conclusions: The incidence of postoperative complications is high, and the prognosis is poor in children with early-onset NEC enterostomy. The residual length of proximal enterostomy is a protective factor for postoperative complications of NEC enterostomy, but stage Ⅲ NEC is a risk factor.