Logistic Regression Coefficients Research Articles

Risk prediction score for high spinal block in patients undergoing cesarean delivery: a retrospective cohort study

BackgroundHigh spinal block is a serious complication of spinal anesthesia. However, findings regarding its associated risk factors are inconsistent, and no studies have reported a relevant risk prediction score. We aimed to determine the risk prediction score for high spinal block in patients who were induced spinal anesthesia for cesarean delivery.MethodsThis retrospective cohort study was conducted at a hospital in Southern Thailand between 2019 and 2020. We recorded demographic characteristics, gestational age (GA), hyperbaric bupivacaine dose, sensory block level, pre- and post-procedure blood pressure, and birth weight. High spinal block was defined as a decrease in pinprick sensation > T4. Risk scores, adjusted odds ratios (OR), and 95% confidence intervals (CI) were determined. Risk scores were derived from the coefficients of the final multivariate logistic regression model.ResultsThe incidence of high spinal block was 22.4% among the 1003 parturients. Our risk prediction tool for high spinal block had a sensitivity and specificity of 76% and 49%, respectively, and was classified into high (> 21), intermediate (15–21), and low (≤ 14) risk groups. The patient-related predictors were a GA < 35 weeks (OR [95% CI]: 2.31 [1.13, 4.71], score of 8), height < 150 cm (2.21 [1.11, 4.38], score of 8), and post-pregnancy body mass index > 27.5 kg/m2 (2.68 [1.33, 5.41], score of 10). The anesthesia-related predictors were a hyperbaric bupivacaine dose > 11 mg (2.56 [1.34, 4.87], score of 9) and induction by a first-year resident (1.48 [1.05, 2.09], score of 4). The surgery-related predictors were previous cesarean delivery in labor (1.83 [1.2, 2.78], score of 6) and elective cesarean delivery (2.53 [1.57, 4.07], score of 9) compared to indication by cephalopelvic disproportion. The incidence of intraoperative hypotension was significantly higher in the high-block group than in the control group (46% vs. 25%, p < 0.001).ConclusionThe combination of patient- and anesthesia-related predictors played an important role in the intermediate- and high-risk groups for high sensory spinal block. Addressing the modifiable risk factors—a GA < 35 weeks, an optimal dose of bupivacaine, and the experience level of the spinal block performer—could minimize the risk of high spinal block during cesarean delivery.

On the comparison of regression coefficients across multiple logistic models with binary predictors

AbstractIn many applied contexts, it is of interest to identify the extent to which a given association measure changes its value as different sets of variables are included in the analysis. We consider logistic regression models where the interest is for the effect of a focal binary explanatory variable on a specific response, and a further collection of binary covariates is available. We provide a methodological framework for the joint analysis of the full set of coefficients of the focal variable computed across all the models obtained by adding or removing predictors from the set of covariates. The result is obtained by applying a specific log-hybrid linear expansion of the joint distribution of the variables that implicitly comprises all the regression coefficients of interest. In this way, we obtain a method that allows one to verify, in a flexible way, a wide range of scientific hypotheses involving the comparison of multiple logistic regression coefficients both in nested and in non-nested models. The proposed methodology is illustrated through a test bed example and an empirical application.

Seropositivity of West Nile virus among acute febrile patients in Ilorin, Nigeria.

West Nile Virus (WNV), a member of Flaviviridae family, is one of the most widely distributed arboviruses in the world. In developing countries like Nigeria, fever resulting from the WNV infection is often presumptively ascribed to malaria or typhoid due to misdiagnosis and low-level awareness of the viral infection. This study determined the prevalence of WNV IgM and IgG antibodies among febrile patients in the Ilorin metropolis. A total of two hundred (200) blood samples were collected from consenting patients and each serum was screened for anti-WNV IgM and IgG antibodies using indirect enzyme-linked immunosorbent assay (ELISA). Statistical correlation and logistic regression analysis were conducted. Overall, 6% (12/200) anti-WNV IgM seropositivity rate was recorded amongst the acute febrile patients with higher prevalence (6.30%) in females than in males (5.45%). Anti-WNV IgG positivity rate of 52% (104/200) was recorded, with 50.67% positivity rate in males and 38.95% in female participants. The convalescence phase posited by the 5.4% (11/200) co-detection of anti-WNV IgG and IgM antibodies among the participants was recorded. A statistical correlation was noticed with the age and religion of respondents to WNV serological positivity while gender, occupation, use of mosquito nets and formal education had no positive correlation at p < 0.05. However, based on odd ratio at 95% CI and logistic regression coefficients, the evaluated risk factors such as blood transfusion, residency, malaria parasite, and proximity to stagnant water and bush were significant to anti-WNV IgG and IgM positivity. The findings of this study show the circulation of WNV in the study area. There is an urgent need for clinicians/physicians to include screening for the West Nile virus in cases of febrile patients before the commencement of treatment.

PENGARUH KOMITE AUDIT, UKURAN PERUSAHAAN DAN FEE AUDIT TERHADAP KUALITAS AUDIT PADA PERUSAHAAN SUB SEKTOR FOOD AND BEVERAGE YANG TERDAFTAR PADA BURSA EFEK INDONESIA TAHUN 2017-2022

This research aims to find out and provide empirical evidence regarding the influence of the audit committee, company size and audit fees on audit quality. The population in this research is manufacturing companies operating in the Food and Beverage Sub Sector Companies Listed on the Indonesian Stock Exchange 2017-2022. the influence is partial or simultaneous. This research uses a quantitative approach and uses associative methods. The samples used were 10 samples of companies which used secondary data obtained from the Company's Financial Reports. The method used is statistical testing which includes logistic regression testing, hypothesis testing and coefficient of determination. The research results show that the audit committee partially has no effect on audit quality using the eviews version 9 and Microsoft Excel applications. The research results show that partially the audit committee has no effect on audit quality, partially company size has no effect on audit quality, partially audit fees have an effect on audit quality, simultaneously, audit committee, company size and audit fees have an effect on audit quality

Abstract C083: Meta-analysis reveals differences in somatic alterations by genetic ancestry across common cancers

Abstract Genetic similarity of populations (or genetic ancestry) contributes to cancer driving alterations. We performed a meta-analysis leveraging two real-world cohorts of targeted gene panel sequencing, comprising 275,605 tumor samples, to investigate ancestry-associated somatic alterations across 14 common cancers. We focused on five continental ancestries – European (EUR), African (AFR), East Asian (EAS), South Asian (SAS), and admixed American (AMR). Genetic ancestry was inferred using single nucleotide polymorphism markers from captured regions of gene panel sequencing in each cohort. The combined cohort from Memorial Sloan Kettering – Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT) and Foundation Medicine (FMI) contains a substantial number (45,131) of non-EUR samples. Within each cohort, we performed multivariate logistic regression to test association of each cancer gene alteration with proportion of genetic ancestry as a continuous variable, controlling for relevant covariates (age, sex, gene panel version, and histological subtypes) for every combination of ancestry and cancer type. Our analysis focused on oncogenic or likely oncogenic alterations spanning mutations, copy number alterations, and structural rearrangements for each gene. We then aggregated the logistic regression results from the two cohorts using a fixed effects model of meta-analysis weighted by cohort sample size. We found 444 significant associations involving 116 unique genes with consistent logistic regression coefficients between cohorts and False Discovery Rate (FDR)-adjusted p-value &amp;lt; 0.1. These genes were involved in cancer-specific and cross-cancer associations. TP53, KRAS, and TERT were the top three recurrent ancestry-associated genes respectively. TERT promoter mutations were depleted in patients of AFR or EAS ancestry, but enriched in EUR ancestry in bladder urothelial carcinoma, glioblastoma, cutaneous melanoma, and hepatocellular carcinoma. Additionally, TP53 mutations were enriched in AFR and EAS ancestry across multiple cancers, consistent with previous reports, but depleted in prostate cancer in both AFR and EAS ancestries. Among the novel cancer-specific associations with FDA-approved targeted therapies, we found that CDK12 mutations in prostate adenocarcinoma were enriched in EAS ancestry while ERBB2 mutations in lung adenocarcinoma were enriched in AMR ancestry. We also found novel potential drug targets/biomarkers associated with AFR ancestry, such as enrichment of BAP1 mutations in head and neck squamous cell carcinoma and depletion of FGFR2 mutations in uterine endometrioid carcinoma. Overall, our work identified ancestry-associated somatic alteration differences of cancer genes in a combined cohort with a large number of non-European samples. This work underscores the value of studying under-represented populations to replicate or reveal new potential targets for precision oncology. Citation Format: Setor Amuzu, Amy Xie, Xuechun Bai, Kelly R. Pekala, David Ma, Tomin Perea-Chamblee, Kanika Aurora, Garrett Frampton, Michael Berger, Nikolaus Schultz, Justin Y. Newberg, Jian Carrot-Zhang. Meta-analysis reveals differences in somatic alterations by genetic ancestry across common cancers [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C083.

Differences by Sexual Orientation in Patient-Centered Care Outcomes for Veterans Utilizing Primary Care Services at the Veterans Health Administration.

Purpose: This study examined the differences by sexual orientation in patient-centered care outcomes (including health care experiences and health-related screening) of veterans utilizing Veterans Health Administration (VHA) primary care. Methods: VHA's adapted version of the Consumer Assessment of Healthcare Providers and Systems was used to compare the health care experience of primary care services among sexual minority (SM) and heterosexual veterans. Health care experience measures were dichotomized to "always" versus "less" and stratified by SM status. Health-related screening measures were dichotomous. Survey data were weighted using provided sample weights. Descriptive statistics were performed on sociodemographic characteristics. Logistic regression coefficients were represented as adjusted odds ratios (aORs). A total of 66,348 veterans were included in the analytic sample, of which 2.9% (n = 1,935) identified as SM. Sexual orientation was ascertained by self-report measures by veterans. Results: SM veterans were significantly younger (56.95 years vs. 63.43 years, p < 0.001), were less likely to report that their provider showed respect for what they had to say (aOR: 0.76; 95% confidence interval [CI]: 0.61-0.95), that they were asked about difficulties taking care of their health (aOR: 0.81; 95% CI: 0.67-0.96), and their provider listened carefully to them (aOR: 0.71; 95% CI: 0.57-0.87) compared to heterosexual veterans. Conclusion: Health care experiences differed between SM and heterosexual veterans who sought VHA primary care, suggesting the need to increase provider trainings, which may improve cultural competency and promote a more welcoming and inclusive environment.

PENGARUH PROFITABILIS, LIKUIDITAS, DAN UKURAN PERUSAHAAN TERHADAP KETETAPAN WAKTU

The focus of this study is to identify the impact of profitability, liquidity, and company size on the timeliness of financial reporting. This study focuses on non-cyclical consumer sector companies listed on the Indonesia Stock Exchange for the 2020-2022 period, covering a population of 125 companies. In this study, the purposive sampling method was used to select 55 samples. Analysis was carried out using regression at a significance level of 5% (0.05) using SPSS version 27. Observations were carried out for 3 years, resulting in a total of 165 samples. Secondary data is taken from the company's financial reports. Data analysis includes descriptive statistical analysis techniques, logistic regression to test the feasibility of the model, the overall model, logistic regression coefficient, omnibus test, and coefficient of determination (R2). The study results indicate that individually, profitability and liquidity have not had a significant impact on financial reporting, while entity size has a significant influence. Overall, profitability, liquidity, and entity size have an influence on financial reporting compliance.

Innovative integration of lung ultrasound and wearable monitoring for predicting pulmonary complications in colorectal surgery: A prospective study.

Postoperative pulmonary complications (PPCs) are common in patients who undergo colorectal surgery. Studies have focused on how to accurately diagnose and reduce the incidence of PPCs. Lung ultrasound has been proven to be useful in preoperative monitoring and postoperative care after cardiopulmonary surgery. However, lung ultrasound has not been studied in abdominal surgeries and has not been used with wearable devices to evaluate the influence of postoperative ambulation on the incidence of PPCs. To investigate the relationship between lung ultrasound scores, PPCs, and postoperative physical activity levels in patients who underwent colorectal surgery. In this prospective observational study conducted from November 1, 2019 to August 1, 2020, patients who underwent colorectal surgery underwent daily bedside ultrasonography from the day before surgery to postoperative day (POD) 5. Lung ultrasound scores and PPCs were recorded and analyzed to investigate their relationship. Pedometer bracelets measured the daily movement distance for 5 days post-surgery, and the correlation between postoperative activity levels and lung ultrasound scores was examined. Thirteen cases of PPCs was observed in the cohort of 101 patients. The mean (standard deviation) peak lung ultrasound score was 5.32 (2.52). Patients with a lung ultrasound score of ≥ 6 constituted the high-risk group. High-risk lung ultrasound scores were associated with an increased incidence of PPCs after colorectal surgery (logistic regression coefficient, 1.715; odds ratio, 5.556). Postoperative movement distance was negatively associated with the lung ultrasound scores [Spearman's rank correlation coefficient (r), -0.356, P < 0.05]. Lung ultrasound effectively evaluates pulmonary condition post-colorectal surgery. Early ambulation and respiratory exercises in the initial two PODs will reduce PPCs and optimize postoperative care in patients undergoing colorectal surgery.

On the prediction of rare events when sampling from large data

When modeling rare events using logistic regression, independent samples of event occurrence (ones) and nonoccurrence (zeros) are commonly taken from large datasets in order to fit models efficiently. A deterministic offset may then be included in the model to compensate for that sampling method. We propose a more complex sampling approach using stratified sampling within the sets of ones and zeros to ensure that we may sample more zeros from strata of interest. This design may avoid situations in which a random sample of zeros fails to capture the range of a key covariate. We employ sampling weights along with stratum-specific intercepts to obtain unbiased estimates of the logistic regression coefficients (including the intercept) and their standard errors. We use simulation to show that this method provides unbiased parameter estimates comparable with those of maximum likelihood. We also illustrate an application of this method to wildland fire occurrence prediction in a study area in northwestern Ontario, Canada.

Exploring factors influencing sexual and reproductive health knowledge among in-school adolescents in Nigeria

This study examines the factors influencing sexual and reproductive health (SRH) knowledge among in-school adolescents in Nigeria. Data were collected from a sample of 1,133 adolescents through a semi-structured survey questionnaire. Descriptive statistics, and logistic regression analysis were employed to analyze the data. Adolescents' knowledge levels on critical aspects of SRH education reveal varying levels of comprehension across domains. While 35.7% of adolescents demonstrate understanding of the anatomy and physiology of the reproductive system, only 8.0% display comprehension of contraception and birth control methods. Logistic regression coefficients unveil significant predictors of SRH knowledge, with senior secondary students demonstrating higher odds of SRH knowledge compared to junior secondary students (OR = 2.482, 95% CI [1.335, 3.693]). Urban residence is associated with higher odds of SRH knowledge (OR = 1.172, 95% CI [0.084, 1.350]). Healthcare providers significantly influence adolescents' SRH knowledge (OR = 3.519, 95% CI [2.853, 4.271]), while comfortable discussing SRH topics with teachers predicts higher odds of SRH knowledge (OR = 3.101, 95% CI [2.245, 3.355]). These findings underscore the need for tailored and comprehensive SRH education programs to address knowledge gaps and empower adolescents with accurate information and skills necessary for making informed decisions regarding their sexual health.

A naïve Bayes regularized logistic regression estimator for low-dimensional classification

To reduce the estimator's variance and prevent overfitting, regularization techniques have attracted great interest from the statistics and machine learning communities. Most existing regularized methods rely on the sparsity assumption that a model with fewer parameters predicts better than one with many parameters. This assumption works particularly well in high-dimensional problems. However, the sparsity assumption may not be necessary when the number of predictors is relatively small compared to the number of training instances. This paper argues that shrinking the coefficients towards a low-variance data-driven estimate could be a better regularization strategy for such situations. For low-dimensional classification problems, we propose a naïve Bayes regularized logistic regression (NBRLR) that shrinks the logistic regression coefficients toward the naïve Bayes estimate to provide a reduction in variance. Our approach is primarily motivated by the fact that naïve Bayes is functionally equivalent to logistic regression if naïve Bayes' conditional independence assumption holds. Under standard conditions, we prove the consistency of the NBRLR estimator. Extensive simulation and empirical experimental results show that NBRLR is a competitive alternative to various state-of-the-art classifiers, especially on low-dimensional datasets.

The Accuracy of PUMA Questionnaire in Combination With Peak Expiratory Flow Rate to Identify At-risk, Undiagnosed COPD Patients

IntroductionThe English PUMA questionnaire emerges as an effective COPD case-finding tool. We aimed to use the PUMA questionnaire in combination with peak expiratory flow rate (PEFR) to improve case-finding efficacy in Chinese population. MethodsThis cross-sectional, observational study included two stages: translating English to Chinese PUMA (C-PUMA) questionnaire with linguistic validation and psychometric evaluation, followed by clinical validation. Eligible participants (with age ≥40 years, respiratory symptoms, smoking history ≥10 pack-years) were enrolled and subjected to three questionnaires (C-PUMA, COPD assessment test [CAT], and generic health survey [SF-12V2]), PEFR measurement, and confirmatory spirometry. The C-PUMA score and PEFR were incorporated into a PUMA-PEFR prediction model applying binary logistic regression coefficients to estimate the probability of COPD (PCOPD). ResultsC-PUMA was finalized through standard forward–backward translation processes and confirmation of good readability, comprehensibility, and reliability. In clinical validation, 240 participants completed the study. 78/240 (32.5%) were diagnosed with COPD. C-PUMA exhibited significant validity (correlated with CAT or physical component scores of SF-12V2, both P<0.05, respectively). PUMA-PEFR model had higher diagnostic accuracy than C-PUMA alone (area under ROC curve, 0.893 vs. 0.749, P<0.05). The best cutoff values of C-PUMA and PUMA-PEFR model (PCOPD) were ≥6 and ≥0.39, accounting for a sensitivity/specificity/numbers needed to screen of 77%/64%/3 and 79%/88%/2, respectively. C-PUMA ≥5 detected more underdiagnosed patients, up to 11.5% (vs. C-PUMA ≥6). ConclusionC-PUMA is well-validated. The PUMA-PEFR model provides more accurate and cost-effective case-finding efficacy than C-PUMA alone in at-risk, undiagnosed COPD patients. These tools can be useful to detect COPD early.

Acute colonic pseudo-obstruction in polytrauma patients.

Acute colonic pseudo-obstruction (ACPO) is characterized by severe colonic distension without mechanical obstruction. It has an uncertain pathogenesis and poses diagnostic challenges. This study aimed to explore risk factors and clinical outcomes of ACPO in polytrauma patients and contribute information to the limited literature on this condition. This retrospective study, conducted at a Level 1 trauma center, analyzed data from trauma patients with ACPO admitted between July 2009 and June 2018. A control cohort of major trauma patients was used. Data review encompassed patient demographics, abdominal imaging, injury characteristics, analgesic usage, interventions, complications, and mortality. Statistical analyses, including logistic regression and correlation coefficients, were employed to identify risk factors. There were 57 cases of ACPO, with an incidence of 1.7 per 1,000 patients, rising to 4.86 in major trauma. Predominantly affecting those older than 50 years (75%) and males (75%), with motor vehicle accidents (50.8%) and falls from height (36.8%) being the commonest mechanisms. Noteworthy associated injuries included retroperitoneal bleeds (RPBs) (37%), spinal fractures (37%), and pelvic fractures (37%). Analysis revealed significant associations between ACPO and shock index >0.9, Injury Severity Score >18, opioid use, RPBs, and pelvic fractures. A cecal diameter of ≥12 cm had a significant association with cecal ischemia or perforation. This study underscores the significance of ACPO in polytrauma patients, demonstrating associations with risk factors and clinical outcomes. Clinicians should maintain a high index of suspicion, particularly in older patients with RPBs, pelvic fractures, and opioid use. Early supportive therapy, vigilant monitoring, and timely interventions are crucial for a favorable outcome. Further research and prospective trials are warranted to validate these findings and enhance understanding of ACPO in trauma patients. Prognostic and Epidemiological; Level IV.

The Postoperative Airway Compromise Score—First Steps to Developing a Postoperative Tool for the Assessment of Upper Airway-Related Complications Following Anterior Cervical Spine Surgery

BackgroundAcute upper airway compromise is a rare but catastrophic complication after anterior cervical discectomy and fusion (ACDF). This study aims to develop a score to identify patients at risk for acute postoperative airway compromise (PAC). MethodsPotential risk factors for acute PAC were selected by a modified Delphi process. Ten patients with acute PAC were identified out of 1,466 patients who underwent elective ACDF between July 2014 - May 2019. A comparison group was created by a randomized selection process (non-PAC group). Associated factors with PAC and a p-value <.10 were entered into a logistic regression model and coefficients contributed each risk factor's overall score. Calibration of the model was evaluated by Hosmer-Lemeshow (H-L) goodness-of-fit test. Quantitative discrimination was calculated and the final model was internally validated with bootstrap sampling. ResultsWe identified 18 potential risk factors from our Delphi process, of which 6 factors demonstrated a significant association with airway compromise: age >65 years, current smoking status, ASA >2, history of a bleeding disorder, surgery of upper subaxial cervical spine (>C4), and duration of surgery >179 min. The final prediction model included five predictors with very strong performance characteristics. These five factors formed the PAC-Score (PACS) which had a range from 0 to 100. A score of 20 yielded the greatest balance of sensitivity (80%) and specificity (88%). ConclusionsThe acute Postoperative Airway Compromise Score (PACS) demonstrates strong performance characteristics. The PAC score may help identify patients at risk for upper airway compromise caused by surgical site abnormalities.

Perceptions of a reduced nicotine policy and predictors of policy support: A nationally representative U.S. survey

BackgroundThe U.S. Food and Drug Administration is considering a policy to reduce nicotine in cigarettes to non-addictive levels. Although current evidence supports the public-health benefits of a reduced-nicotine policy, almost half of people who smoke (∼ 40%) do not support the policy. This study estimates the factors most strongly associated with support or opposition toward the policy, including tobacco use status, perceived effects of a reduced nicotine policy, trust in the FDA, and psychological distress. The study aims to inform messaging campaigns and policy makers. MethodsData were collected in 2021 with nationally representative samples of U.S. adults (n = 1763). After receiving information about the reduced nicotine policy, participants indicated their beliefs and support for or opposition to the policy, along with other individual difference characteristics. Univariate population parameters and multinomial logistic regression coefficients were estimated. ResultsIn adjusted models, people who formerly or never smoked were less likely to oppose the policy compared to those who currently smoke; people with higher psychological distress and those who believe the policy will promote switching to e-cigarettes were more likely to oppose the policy. In addition, people were more likely to support the policy if they believed it would make quitting easier or that the FDA is trustworthy. ConclusionsEducational campaigns about reduced nicotine policy should expect higher impact by targeting prevalent perceptions and those more strongly associated with policy sentiment. In anticipation of the policy rollout, there may be a critical window to shape public opinion.

Association of cardiovascular risk factors and myocardial hypertrophy in women with preeclampsia history

AimsA historic of preeclampsia (PE) has been associated with cardiovascular disease (CVD) in women. There are substantial evidences that cardiovascular changes resulting from PE can persist even after pregnancy end. Therefore, the aims was to evaluate the prevalence of myocardial hypertrophy in young women 12 months after PE event as well as try to identify risk factors for these changes. Materials and methodsSingle-center observational prospective cross-sectional study that included 118 consecutive patients after 12 months of PE. Clinical and laboratory evaluations, echocardiogram were performed. Myocardial hypertrophy (LVH) was defined as an index myocardial mass ≥ 45 g/m2.7, for women. Classical risk factors for CVD were considered. Analysis included linear or logistic regression and Spearman's correlation coefficient. Significance level of 5 %. Key findingsSystemic arterial hypertension (SAH) was identified in 52 patients (44 %), overweight/obesity (OOB) in 82 (69 %), dyslipidemia in 68 (57 %) and metabolic syndrome in 47 patients (40 %). LVH was present in 35 cases (29 %) and associated with OOB (OR = 4.51; CI95%:1.18–17.17, p < 0.001), in a model corrected for age and SAH diagnosis. When only the metabolic syndrome components were analyzed, in the multiple logistic regression model, the abdominal circumference was the only clinical variable associated with LVH (OR = 17.65; CI95%:3.70–84.17; p < 0.001). SignificanceIt was observed a high prevalence of ventricular hypertrophy in young women with a history of pre-eclampsia. This condition was associated with the presence of obesity.

Development and validation of a scoring system for in-hospital mortality following band ligation in esophageal variceal bleeding.

We aimed to develop and validate a simple scoring system to predict in-hospital mortality after endoscopic variceal ligation (EVL) for esophageal variceal bleeding. Data from a 13-year study involving 46 Japanese institutions were split into development (initial 7 years) and validation (last 6 years) cohorts. The study subjects were patients hospitalized for esophageal variceal bleeding and treated with EVL. Variable selection was performed using least absolute shrinkage and selection operator regression, targeting in-hospital all-cause mortality as the outcome. We developed the Hospital Outcome Prediction following Endoscopic Variceal Ligation (HOPE-EVL) score from β coefficients of multivariate logistic regression and assessed its discrimination and calibration. The study included 980 patients: 536 in the development cohort and 444 in the validation cohort. In-hospital mortality was 13.6% and 10.1% for the respective cohorts. The scoring system used five variables: systolic blood pressure (<80 mmHg: 2 points), Glasgow Coma Scale (≤12: 1 point), total bilirubin (≥5 mg/dL: 1 point), creatinine (≥1.5 mg/dL: 1 point), and albumin (<2.8 g/dL: 1 point). The risk groups (low: 0-1, middle: 2-3, high: ≥4) in the validation cohort corresponded to observed and predicted mortality probabilities of 2.0% and 2.5%, 19.0% and 22.9%, and 57.6% and 71.9%, respectively. In this cohort, the HOPE-EVL score demonstrated excellent discrimination ability (area under the curve [AUC] 0.890; 95% confidence interval [CI] 0.850-0.930) compared with the Model for End-stage Liver Disease score (AUC 0.853; 95% CI 0.794-0.912) and the Child-Pugh score (AUC 0.798; 95% CI 0.727-0.869). The HOPE-EVL score practically and effectively predicts in-hospital mortality. This score could facilitate the appropriate allocation of resources and effective communication with patients and their families.

Enhancing predictability of IDH mutation status in glioma patients at initial diagnosis: a comparative analysis of radiomics from MRI, [18F]FET PET, and TSPO PET

PurposeAccording to the World Health Organization classification for tumors of the central nervous system, mutation status of the isocitrate dehydrogenase (IDH) genes has become a major diagnostic discriminator for gliomas. Therefore, imaging-based prediction of IDH mutation status is of high interest for individual patient management. We compared and evaluated the diagnostic value of radiomics derived from dual positron emission tomography (PET) and magnetic resonance imaging (MRI) data to predict the IDH mutation status non-invasively.MethodsEighty-seven glioma patients at initial diagnosis who underwent PET targeting the translocator protein (TSPO) using [18F]GE-180, dynamic amino acid PET using [18F]FET, and T1-/T2-weighted MRI scans were examined. In addition to calculating tumor-to-background ratio (TBR) images for all modalities, parametric images quantifying dynamic [18F]FET PET information were generated. Radiomic features were extracted from TBR and parametric images. The area under the receiver operating characteristic curve (AUC) was employed to assess the performance of logistic regression (LR) classifiers. To report robust estimates, nested cross-validation with five folds and 50 repeats was applied.ResultsTBRGE-180 features extracted from TSPO-positive volumes had the highest predictive power among TBR images (AUC 0.88, with age as co-factor 0.94). Dynamic [18F]FET PET reached a similarly high performance (0.94, with age 0.96). The highest LR coefficients in multimodal analyses included TBRGE-180 features, parameters from kinetic and early static [18F]FET PET images, age, and the features from TBRT2 images such as the kurtosis (0.97).ConclusionThe findings suggest that incorporating TBRGE-180 features along with kinetic information from dynamic [18F]FET PET, kurtosis from TBRT2, and age can yield very high predictability of IDH mutation status, thus potentially improving early patient management.

The correlation between the frequent intake of dietary migraine triggers and increased clinical features of migraine (analytical cross-sectional study from Egypt)

Despite the high prevalence of primary headaches, the role of food in modifying clinical characteristics among migraine patients is often overlooked. The aim is to detect the correlation between adopting unhealthy dietary habits and migraine severity and identify foods that have a greater chance of triggering specific subtypes of migraine. The present study was a cross-sectional analytical study that was conducted at Kasralainy Hospital, Cairo University, headache clinic at Alexandria University Hospital, and Al-Azhar University Hospitals from January to June 2020. We included 124 patients fulfilling the ICHD-3 criteria for migraine. A full clinical profile for migraine headaches was reported using a headache sheet applied to the Al-Azhar University headache unit. A nutritionist obtained data collected about dietary habits using many reliable scales and questionnaires such as food frequently sheets questionnaire. Logistic regression and Pearson correlation coefficients have been used to identify foods that are more likely to be associated with increased clinical features of migraine. Our participants reported that the fried meat, fried chicken, processed meats, fava beans, falafel, aged cheese “Pottery salted cheese” and “Rummy cheese”, salted-full fatty cheese “Damietta cheese”, citrus fruits, tea, coffee, soft drinks, nuts, pickles, chocolate, canned foods, sauces, ice cream, smoked herring, in addition to the stored food in the refrigerator for many days were significantly associated with the diagnosis of chronic migraine CM compared to episodic migraine (EM). Margarine, pickles, and smoked herring were significantly associated with the diagnosis of migraine with aura (MA) compared to migraine without aura (MO). Adopting unhealthy eating habits was a more prevalent dietary consumption pattern among people with chronic migraines compared to those with episodic migraine.

Enhanced body shape change coupled with PA is the key to hypertension management for urban residents.

The present study aimed to assess the relationship between bodyshape, physical activity (PA), and systolic blood pressure (SBP) and diastolic blood pressure (DBP). A novel visualization method was used to examine the effects of body shape combined with physical activity on hypertension. Data from 54,303 participants were obtained from the China Health and Nutrition Survey (CHNS) and analyzed using logistic regression models and standardized regression coefficients of linear models. These models were used to explore factors and effects of body shape indices and other parameters on SBP and DBP. The logistic regression model revealed that compared to transport-related PA, the aggregated variables (weight and waist) were associated with a 2.44-fold and 1.65-fold increase in the risk of hypertension, respectively (p<.05). The average aggregated standardized coefficient of the linear model, based on 1000 bootstrap resamples, indicated that the Base Shape group had the strongest explanatory power for hypertension, followed by the Habits group. However, the explanatory power of the PA group was around 10 and 22 times lower than that of the Base Shape group for DBP and SBP, respectively (p<.05). These results demonstrate that increasing physical activity, with emphasizing a healthy body shape, and adopting positive lifestyle habits can effectively contribute to the prevention and control of hypertension.