Heart failure with improved versus persistently reduced left ventricular ejection fraction: A comparison of the BIOSTAT-CHF (European) study with the ASIAN-HF registry.

AIMS: We investigated the prevalence, clinical characteristics, and prognosis of patients with heart failure (HF) with improved ejection fraction (HFimpEF). METHODS AND RESULTS: We used data from BIOSTAT-CHF including patients with a left ventricular ejection fraction (LVEF) ≤40% at baseline who had LVEF re-assessed at 9 months. HFimpEF was defined as a LVEF >40% and a LVEF ≥10% increase from baseline at 9 months. We validated findings in the ASIAN-HF registry. The primary outcome was a composite of time to HF rehospitalization or all-cause mortality. In BIOSTAT-CHF, about 20% of patients developed HFimpEF, that was associated with a lower primary event rate of all-cause mortality (hazard ratio [HR] 0.52, 95% confidence interval [CI] 0.28-0.97, p = 0.040) and the composite endpoint (HR 0.46, 95% CI 0.30-0.70, p < 0.001) compared with patients who remained in persistent HF with reduced ejection fraction (HFrEF). The findings were similar in the ASIAN-HF (HR 0.40, 95% CI 0.18-0.89, p = 0.024, and HR 0.29, 95% CI 0.17-0.48, p < 0.001). Five independently common predictors for HFimpEF in both BIOSTAT-CHF and ASIAN-HF were female sex, absence of ischaemic heart disease, higher LVEF, smaller left ventricular end-diastolic and end-systolic diameter at baseline. A predictive model combining only five predictors (absence of ischaemic heart disease and left bundle branch block, smaller left ventricular end-systolic and left atrial diameter, and higher platelet count) for HFimpEF in the BIOSTAT-CHF achieved an area under the curve of 0.772 and 0.688 in the ASIAN-HF (due to missing left atrial diameter and platelet count). CONCLUSIONS: Approximately 20-30% of patients with HFrEF improved to HFimpEF within 1 year with better clinical outcomes. In addition, the predictive model with clinical predictors could more accurately predict HFimpEF in patients with HFrEF.

Early Change as a Predictor of Treatment Outcome in Patients with a Personality Disorder.

A significant proportion of patients with a personality disorder do not benefit from treatment. Monitoring treatment progress can help adjust ineffective treatments. This study examined whether early changes in symptoms and personality dysfunction during the first phase of therapy could predict treatment outcomes. Data from 841 patients who received specialized treatment for personality disorders were analyzed. The study focused on whether changes in the Outcome Questionnaire-45.2 (OQ-45.2) symptom distress scale (SD), the General Assessment of Personality Disorder (GAPD), and Severity Indices of Personality Problems (SIPP) in the early phase of therapy predicted post-treatment personality dysfunction, as measured by the SIPP and GAPD. Early changes within a specific SIPP domain were the strongest predictors of post-treatment outcomes in that same domain. Early changes in symptoms significantly predicted outcomes in Self-Control, Relational Functioning, and Identity Integration, while the GAPD predicted outcomes in Self-Control and Social Attunement on the SIPP. For the GAPD, early changes on the GAPD itself, followed by early changes on the OQ-45 SD and the SIPP domain Social Attunement, were significant predictors. Thus, when it comes to personality dysfunction, early changes in a specific domain or measure are the best predictors of outcomes in that same domain. While the OQ-45 predicted some aspects of personality dysfunction, it should not replace disorder-specific measures. Additionally, the SIPP domains and the GAPD should not be used interchangeably to predict each other. In sum, considering these factors, monitoring early change can be useful in assessing progress in the treatment of patients with personality disorders.

Serum calcium level at 32 weeks of gestation could be applied as a predictor of preterm delivery: a retrospective study.

Preterm delivery (PTD) is associated with severe adverse maternal and neonatal outcomes and higher medical costs. Therefore, PTD warrants more attention. However, predicting PTD remains a challenge for researchers. This study aimed to investigate potential prenatal predictors of PTD. We retrospectively recruited pregnant women who experienced either PTD or term delivery (TD) and underwent laboratory examinations at 32 weeks of gestation. We compared the test results between the two groups and performed logistic regression analysis and receiver operating characteristic (ROC) curve analysis to identify risk factors and predictive factors for PTD. Our investigation revealed that the PTD cohort exhibited statistically significant elevations in lymphocyte count, mean corpuscular hemoglobin concentration, calcium, uric acid, alkaline phosphatase, triglycerides, and total bile acids. Conversely, the PTD group demonstrated statistically significant reductions in mean corpuscular volume, homocysteine, neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), neutrophils to (white blood cells-neutrophils) ratio (dNLR), and (neutrophils × monocytes) to lymphocyte ratio (SIRI). The ROC curve analysis revealed that calcium had an area under the curve (AUC) of 0.705, with a cut-off value of 2.215. Logistic regression analysis showed that premature rupture of membranes was an independent risk factor for PTD. Our study demonstrated that serum calcium levels, NLR, dNLR, and other laboratory tests conducted at 32 weeks of gestation can serve as predictors for PTD. Furthermore, we identified premature rupture of membranes as a risk factor for PTD.

Predictors of emergency abdominal surgery for patients aged 90 years or older: A retrospective study.

Background: With the aging of the population, more and more patients ≥90 years old are undergoing surgery. We retrospectively examined factors affecting morbidity and in-hospital mortality among patients ≥90 years old who underwent emergency abdominal operations. Materials and methods: Forty-six cases of emergency abdominal surgery for patients ≥90 years old who underwent surgery at our hospital between 2011 and 2022 were included in this study. Factors affecting morbidity and in-hospital mortality were analyzed statistically. Physiological and operative severity score for the enumeration of mortality and morbidity (POSSUM)-predicted morbidity and Portsmouth-POSSUM (P-POSSUM)-predicted mortality were calculated. Results: Postoperative complications occurred in 30 patients (65.2 %) and 5 patients (10.8 %) died in the hospital. Factors affecting morbidity included American Society of Anesthesiologists physical status score, operative time and blood loss, and operative severity score. Multivariate analysis identified male sex, operative severity score, and length of hospital stay as factors affecting morbidity. Eastern Cooperative Oncology Group performance status and physiological score were identified as factors influencing mortality in hospital, and only physiological score was identified in the multivariate analysis. Area under the receiver operating characteristic (ROC) curve for POSSUM-predicted morbidity was 0.796 and area under the ROC curve for P-POSSUM-predicted mortality was 0.805, both of which were moderately accurate. Conclusion: Risk of emergency abdominal surgery in patients ≥90 years old may be predictable to some extent, and we are able to provide convincing explanations to patients and families based on these data.

Clinical and laboratory characteristics and outcome predictors of cerebral venous sinus thrombosis in a referral neurology hospital in Bangladesh.

OBJECTIVE: We aimed to describe clinical and laboratory characteristics and determine the predictors of outcome in patients with cerebral venous sinus thrombosis. METHODS: This prospective study was conducted over 2 years among hospitalized patients with cerebral venous sinus thrombosis. Patient outcome was assessed using the Modified Rankin Scale (mRS) score at 3 months. Outcome predictors were identified using logistic regression analysis. RESULTS: Eighty-one patients were included in this study. The median mRS outcome at 3 months was 1 (interquartile range 1-3). Poor outcomes were observed in 27.2% of patients, and the mortality rate was 9.8%. Factors associated with poor outcomes were age >60 years (relative risk [RR] 5.1), hemiparesis (RR 5.4), altered level of consciousness (RR 7.1), and transverse sinus involvement (RR 1.1). In general, mRS scores were not associated with D-dimer levels (RR 2.4). However, older patients with elevated D-dimer levels showed a significant association with poor outcomes (1.6) according to mRS scores. CONCLUSION: Older age, hemiparesis, and altered consciousness levels were independent predictors of poor outcomes in patients with cerebral venous sinus thrombosis. High D-dimer level showed no association with functional disability, except in older patients.

Chitinase­3 like­protein­1: A potential predictor of cardiovascular disease (Review).

Chitinase­3 like­protein­1 (CHI3L1), a glycoprotein belonging to the glycoside hydrolase family 18, binds to chitin; however, this protein lacks chitinase activity. Although CHI3L1 is not an enzyme capable of degrading chitin, it plays significant roles in abnormal glucose and lipid metabolism, indicating its involvement in metabolic disorders. In addition, CHI3L1 is considered a key player in inflammatory diseases, with clinical data suggesting its potential as a predictor of cardiovascular disease. CHI3L1 regulates the inflammatory response of various cell types, including macrophages, vascular smooth muscle cells and fibroblasts. In addition, CHI3L1 participates in vascular remodeling and fibrosis, contributing to the pathogenesis of cardiovascular disease. At present, research is focused on elucidating the role of CHI3L1 in cardiovascular disease. The present systematic review was conducted to comprehensively evaluate the effects of CHI3L1 on cardiovascular cells, and determine the potential implications in the occurrence and progression of cardiovascular disease. The present study may further the understanding of the involvement of CHI3L1 in cardiovascular pathology, demonstrating its potential as a therapeutic target or biomarker in the management of cardiovascular disease.

Predictors of length of hospital stay after pediatric Ebstein anomaly corrective surgery: a retrospective cohort study.

BACKGROUND: The remarkable advancements in surgical techniques over recent years have shifted the clinical focus from merely reducing mortality to enhancing the quality of postoperative recovery. The duration of a patient's hospital stay serves as a crucial indicator in evaluating postoperative recovery and surgical outcomes. This study aims to identify predictors of the length of hospital stay for children who have undergone corrective surgery for Ebstein Anomaly (EA). METHODS: We conducted a retrospective cohort study on children (under 18 years of age) diagnosed with EA who were admitted for corrective surgery between January 2009 and November 2021 at Fuwai Hospital. The primary outcome was the Time to Hospital Discharge (THD). Cox proportional hazard models were utilized to identify predictors of THD. In the context of time-to-event analysis, discharge was considered an event. In cases where death occurred before discharge, it was defined as an extended THD, input as 100 days (exceeding the longest observed THD), and considered as a non-event. RESULTS: A total of 270 children were included in this study, out of which three died in the hospital. Following the Cox proportional hazard analysis, six predictors of THD were identified. The hazard ratios and corresponding 95% confidence intervals were as follows: age, 1.030(1.005,1.055); C/R > 0.65, 0.507(0.364,0.707); Carpentier type C or D, 0.578(0.429,0.779); CPB time, 0.995(0.991,0.998); dexamethasone, 1.373(1.051,1.795); and transfusion, 0.680(0.529,0.875). The children were categorized into three groups based on the quartile of THD. Compared to children in the ≤ 6 days group, those in the ≥ 11 days group were associated with a higher incidence of adverse outcomes. Additionally, the duration of mechanical ventilation and ICU stay, as well as hospital costs, were significantly higher in this group. CONCLUSION: We identified six predictors of THD for children undergoing corrective surgery for EA. Clinicians can utilize these variables to optimize perioperative management strategies, reduce adverse complications, improve postoperative recovery, and reduce unnecessary medical expenses.

Lower Free T3 Levels Linked to Poorer Outcomes in Chronic Obstructive Pulmonary Disease Patients with Acute Hypercapnic Respiratory Failure.

Aim of the Study: Non-thyroidal illness syndrome (NTIS) is often observed in critically ill patients. This study aimed to examine thyroid hormone changes in patients with chronic obstructive pulmonary disease (COPD) experiencing acute hypercapnic respiratory failure (AHRF) and to evaluate the impact of these alterations on clinical outcomes. Materials and Methods: This retrospective investigation involved 80 COPD patients (age 71.5±9.5 years; 57.5% male) admitted to the intensive care unit (ICU) due to AHRF. NTIS was identified when free triiodothyronine (fT3) levels were below the lower limit, and thyroid-stimulating hormone (TSH) and free thyroxine (fT4) levels were within the normal range or below the lower limits. Results: NTIS was detected in 63.7% of the patients. Decreased fT3 levels were found in 36.3% of the patients, reduced T4 levels in 33.8%, and diminished TSH levels in 15%. Patients with low fT3 levels exhibited elevated C-reactive protein levels, white blood cell counts, and APACHE II scores, necessitated vasopressor infusion more frequently during their ICU stay, and had increased mortality. The in-hospital mortality rate was 28.8%. Logistic regression analysis revealed that fT3 level (odds ratio [OR]., 0.271; 95% confidence interval [CI]., 0.085-0.865; p=0.027), APACHE II score (OR, 1.155; 95% CI, 1.041-1.282; p=0.007), and vasopressor use (OR, 5.426; 95% CI, 1.439-20.468; p=0.013) were crucial predictors of in-hospital mortality. Conclusions: A high prevalence of NTIS is observed in COPD patients with AHRF, with low fT3 levels frequently observed. The presence of lower levels of fT3 is associated with a greater severity of the disease and a significant prognostic indicator.

Assessment of B-type natriuretic peptide as an early predictor of mortality in acutely poisoned patients with cardiotoxicities.

Background: Cardiotoxicity is a major toxic effect induced by several types of drugs. An electrocardiogram is done routinely in cardiovascular drug exposures. Cardiac troponin I (cTnI) is the usual biomarker for diagnosing myocardial injury. B-type natriuretic peptide (BNP) is a well-established predictor of disease state in suspected heart failure. Aim: The study aimed to assess BNP's role as an early predictor of mortality compared with cTnI and ECG changes in acutely poisoned patients with cardiotoxicities. Methodology: This study enrolled 70 patients with acute cardiotoxicity by drugs and toxins known to cause cardiac injury admitted to Tanta University Poison Control Center (TUPCC). Collected data included socio-demographic data, toxicological history, vital signs, ECG changes, Poison Severity Score (PSS), BNP, and cTnI serum levels. Result: Patients were classified as survivors and non-survivors. Significantly more delay time was recorded in non-survivors. Moreover, vital signs were significantly abnormal in non-survivors. There was no statistical significance regarding the initial ECG abnormalities between survivors and non-survivors. BNP and cTnI levels were significantly higher among non-survivors. For mortality prediction, BNP had good predictive power (AUC = 0.841) with 100% sensitivity and 79.7% specificity while cTnI had an acceptable predictive power (AUC = 0.786), with 83.3% sensitivity and 78.1% specificity with insignificant difference between both biomarkers. Conclusion: BNP and cTnI levels can predict mortality in acute cardiotoxicity compared to ECG which has no statistically significant prediction. BNP has a higher discriminatory power than cTnI for the prediction of mortality.

Absence of Paneth Cell Metaplasia to Predict Clinical Relapse in Ulcerative Colitis with Endoscopically Quiescent Mucosa.

BACKGROUND: Paneth cells play multiple roles in maintaining intestinal homeostasis. However, the clinical role of Paneth cell metaplasia (PCM) in ulcerative colitis (UC) remains unclear. We aimed to investigate the relationship between PCM and relapse in patients with UC and compare the usefulness of PCM with other histological indexes, including mucin depletion (MD) and basal plasmacytosis (BP). METHODS: Patients with UC in clinical remission (CR) who underwent colonoscopy to confirm a Mayo endoscopic subscore (MES) ≦1 with biopsies from the distal colon were enrolled into this retrospective cohort study. Biopsy samples were evaluated for histological findings of PCM, MD, and BP. Clinical relapse was defined as partial Mayo score ≧3 or medication escalation. Multivariate analysis was performed to determine independent predictors of relapse among the three histological findings, MES, and patient background, and relapse prediction models were generated. RESULTS: Eighty-three patients were enrolled in this study (MES 0, n = 47; MES 1, n = 36). The number of PCM cases was significantly higher in patients with prolonged CR than that in those with relapse (p = 0.01). Multivariate analysis showed that the absence of PCM and MD were related to relapse in all the patients. In patients with MES 1, the absence of PCM was the only risk factor significantly and independently associated with relapse (hazard ratio, 4.51 [1.15-17.7]; p = 0.03). CONCLUSION: The absence of PCM was a histological risk factor for relapse in patients with MES 1, implying a protective role for PCM in remission and a new index for mucosal healing.

Role of the revised Baux score in predicting mortality among burn patients in an African low-income country: a multicentre prospective cohort.

Introduction: Burn injury is a major cause of mortality. Majority of the burns occur in low and middle-income countries like Uganda. Uganda has a limited number of burn centres and medical resources, making a predictor of mortality necessary in allocation of the limited resources. Although the revised Baux (r-Baux) score has been validated and used in many high income countries, no study has assessed its role in an African low-income country; the reason this study was done. Methods: This was a prospective multicentre cohort that enroled 101 burn patients with moderate and severe burns admitted in three tertiary hospitals in western Uganda. Follow-up was done until discharge, documenting mortality. A receiver operator characteristic curve was used to determine the role of r-Baux score in predicting mortality. Results: This study included 101 patients, with a mean age of 21.3 (SD=16.8) years. The majority of the participants were male (69.3%). The area under the curved for r-Baux score's prediction of mortality was 0.943 (P<0.001). The most appropriate cut-off was determined to be 74.5. At this cut-off, r-Baux score predicted mortality with a sensitivity of 100% and specificity of 83.5%. After controlling for burn severity using Poisson regression, a patient with r-Baux score greater than 74.5 was 1.358 times more likely to die (adjusted risk ratio=1.358, 95% CI=1.195-1.543, P<0.001). Conclusion: The r-Baux score was found to be excellent at predicting mortality among burn patients in Uganda and therefore should be done for all patients at admission, in order to predict mortality and do proper planning.

Predictors of continuation for asenapine from real-world data in patients with schizophrenia.

BACKGROUND: The continuation rates of pharmacotherapy in schizophrenia exhibit variability, a phenomenon influenced by the specific antipsychotic agent prescribed and patient-related factors such as age and duration of illness. In this context, our study aims to elucidate the predictors of medication continuation for asenapine sublingual tablets, characterized by unique formulation properties. METHODS: Our investigation leveraged real-world data collected through post-marketing surveillance in Japan, comprising 3236 cases. Utilizing multivariate logistic regression analysis, we identified patient-related factors associated with medication continuation as the primary outcome measure, subsequently employing survival analysis for further evaluation. Additionally, adverse event occurrence was assessed as a secondary outcome measure. RESULTS: Multivariate logistic regression analysis unveiled significant predictors of asenapine continuation, notably including patient-related factors such as a chlorpromazine equivalent dose exceeding 600 mg/day and an illness duration of 25 years or more. While the overall continuation rate stood at 40.6%, patients exhibiting factors such as a chlorpromazine equivalent dose surpassing 600 mg/day or an illness duration exceeding 25 years demonstrated continuation rates of 46.3% and 47.9%, respectively. Remarkably, patients presenting both factors showcased the highest continuation rate at 52.5%. CONCLUSIONS: Our findings shed light on distinct patient-related predictors of asenapine continuation, deviating from those observed with other antipsychotic medications. This underscores the necessity of recognizing that predictive factors for antipsychotic medication continuation vary across different agents. Moving forward, elucidating these predictive factors for various antipsychotic medications holds paramount importance in schizophrenia treatment, facilitating the delivery of tailored therapeutic interventions for individual patients.

Navigating climate complexity and its control via hyperchaotic dynamics in a 4D Caputo fractional model.

This interdisciplinary study critically analyzes current research, establishing a profound connection between sea water, sea ice, sea temperature, and surface temperature through a 4D hyperchaotic Caputo fractional differential equation. Emphasizing the collective impact on climate, focusing on challenges from anthropogenic global warming, the study scrutinizes theoretical aspects, including existence and uniqueness. Two sliding mode controllers manage chaos in this 4D fractional system, assessed amid uncertainties and disruptions. The global stability of these controlled systems is also confirmed, considering both commensurate and non-commensurate 4D fractional order. To demonstrate the intricate chaotic motion within the system, we employ the Lyapunov exponent and Poincare sections. Numerical simulations are conducted by using the predictor-corrector method. The effects of surface temperature on chaotic dynamics are discussed. The crucial role of sea ice reflection in climate stability is highlighted in two scenarios. Correlation graphs, comparing model and observational data using the predictor-corrector method, enhance the proposed 4D hyperchaotic model's credibility. Subsequently, numerical simulations validate theoretical assertions about the controllers' influence. These controllers indicate which variable significantly contributes to controlling the chaos.

Hematological Markers as Predictors of ICU Admission in COVID-19 Patients: A Case-Control Study From a Tertiary Hospital.

BACKGROUND: COVID-19 illness severity ranges from mild- to life-threatening cases necessitating critical care. Rapid prediction of disease severity and the need for critical care support in COVID-19 patients remain essential, not only for current management but also for preparedness in future pandemics. This study aimed to assess hematological parameters as predictors of intensive care unit (ICU) admission and survival in COVID-19 patients, providing insights applicable to a broad range of infectious diseases. METHODS: A case-control study was conducted at Hospital Raja Perempuan Zainab II, a tertiary referral hospital in Kelantan, Malaysia, from March 2020 to August 2021. Demographics, clinical, and laboratory data were retrieved from patients' medical records. Statistical analyses, including the Chi-square (χ2) test, independent t-tests, and simple and multiple logistic regressions, were used to analyze the data. A receiver operating characteristic (ROC) curve analysis was conducted to assess the accuracy of the predictors. RESULTS: The median age was 51 years, with females comprising 56.7% (n=148) and males 43.3% (n=113). A total of 88.5% of patients were admitted to non-ICU wards, with a mortality rate of 5.7%. Significant differences were observed in the distribution of hematological parameters between ICU-admitted and non-admitted patients. Neutrophil (OR: 23.96, 95% CI: 7.296-78.675) and white blood cell (WBC) count (OR: 36.677, 95% CI: 2.086-644.889) were the most significant predictors for ICU admission and survival, respectively. CONCLUSIONS: WBC and neutrophil counts exhibited high predictive value for ICU admission, while WBC, neutrophil, lymphocyte, and immature granulocyte (IG) counts were significant predictors of survival status among COVID-19 patients. These findings underscore the continued relevance of hematological markers in managing severe respiratory infections and improving critical care triage, with implications for current and future healthcare challenges.

Predictors of Higher Costs Following Reverse Total Shoulder Arthroplasty.

Objectives: The rising popularity of reverse total shoulder arthroplasties (RTSA) demands attention to its growing costs on the healthcare system, especially with the implementation of bundled payments. Charges associated with patients' inpatient stays can be mitigated with a better understanding of the drivers of cost following RTSA. In this study, we evaluate potential pre-operative and post-operative factors associated with higher inpatient costs following RTSA. Methods: We identified 59,925 patients who underwent RTSA using the National Inpatient Sample between 2016 and 2019. Total inpatient hospital charges were collected, and patients were divided into "normal cost" or "high cost" groups. The high cost group was defined as patients with total costs greater than the 75th percentile. Univariate and multivariate analyses were performed on pre-operative demographic and comorbidity variables as well as post-operative surgical and medical complications to predict factors associated with higher costs. T-tests and Chi-squared tests were performed, and odds ratios were calculated. Results: The mean total charges were $141.213.93 in the high cost group and $59,181.94 in the normal cost group. Following multivariate analysis, non-white patients were associated with higher costs by 1.31-fold (P<0.001), but sex and age were not. Cirrhosis and non-elective admission had higher odds of higher costs by 1.56-fold (P<0.001) and 3.13-fold (P<0.001), respectively. Among surgical complications, there were higher odds of high costs for periprosthetic infection by 2.43-fold (P<0.001), periprosthetic mechanical complication by 1.28-fold (P<0.001), and periprosthetic fracture by 1.56-fold (P<0.001). Medical complications generally had higher odds of high costs than surgical complications, with deep vein thrombosis having nearly five times (P<0.001) and myocardial infarction almost four times (P<0.001) higher odds of high inpatient costs. Conclusion: Post-operative medical complications were the most predictive factors of higher cost following RTSA. Pre-operative optimization to prevent infection and medical complications is imperative to mitigate the economic burden of RTSA's.

Sexual activity, vaginal symptoms, maternal perineal hygiene behavior, and constipation on ano-vaginal colonization of group B streptococcus in near term pregnancy.

BACKGROUND: Maternal Group B Streptococcus (GBS) colonization is influenced by many factors but results are inconsistent. Consideration of antenatal risk factors may help inform decision making on GBS microbiological culture screening where universal screening is not standard of care. We sought to identify independent predictors of GBS colonization at 34-37 weeks gestation incorporating vaginal symptoms, perineal hygiene measures, sexual activity, and a potential novel factor, constipation. METHODS: In this prospective cross-sectional study, 573 women at 34-37 weeks gestation had an ano-vaginal swab taken and sent for selective culture for GBS. Women were asked about vaginal bleeding, discharge, irritation and candidiasis, antibiotic use during pregnancy, ano-vaginal hygiene practices such as douching and perineal cleansing after toileting, sexual intercourse related activities, and a potential novel factor for GBS carriage, constipation. Maternal basic demographics and obstetric-related characteristics were also collected. Bivariate analyses were performed to identify associates of GBS colonization. All variables with p < 0.05 found on bivariate analysis were then included into a model for multivariable binary logistic regression analysis to identify independent risk factors for GBS colonization. RESULTS: GBS colonization was found in 235/573 (41.0%) of participants. Twenty six independent variables were considered for bivariate analysis. Eight were found to have p < 0.05. Following adjusted analysis, six independent predictors of GBS colonization were identified: ethnicity, previous neonatal GBS prophylaxis, antenatal vaginal irritation, antibiotic use, recent panty liner use, and frequency of sexual intercourse. Vaginal discharge and perineal cleansing were not associated after adjustment. Recent douching and constipation were not associated on bivariate analysis. CONCLUSION: The identification of independent predictors of GBS colonization in late pregnancy may inform the woman and care provider in their shared decision making for microbiological screening at 35-38 weeks gestation in locations where universal GBS screening is not standard of care. ETHICS OVERSIGHT: This study was approved by the Medical Ethics Committee of University Malaya Medical Centre (UMMC) on August 9, 2022, reference number 2022328-11120.

Serum direct bilirubin as a prognostic marker for short-term ischemic stroke morbidity and mortality: Pooled analysis of cohort studies.

OBJECTIVES: Recent research on serum bilirubin's impact on stroke outcomes presents conflicting evidence. Higher bilirubin levels have been associated with both protective effects against ischemic stroke and increased risk of poor neurological recovery and higher mortality. MATERIALS AND METHODS: Systematic searching of the PubMed and SCOPUS databases from inception till April 2024 yielded 139 studies of which four were included for analysis. Adhering to MOOSE guidelines, we specifically assessed the association between high versus low direct bilirubin (DBIL) levels and poor neurological recovery using a narrowly defined criterion of the Modified Rankin Scale (mRS) score from 2 to 6. RESULTS: The pooled analysis from four studies analyzed data, encompassed 12,632 acute ischemic stroke hospitalizations, indicates a significant association between high serum DBIL and increased risk of poor neurological recovery (OR: 1.89, 95% CI: [1.28-2.77], p < 0.01), with moderate study heterogeneity (I2 = 58%, p = 0.07). Publication bias was mild, with an LFK index of - 1.81. CONCLUSION: Our findings suggest a potential association between elevated DBIL and a higher risk of post-stroke morbidity and mortality, indicating the need for further research to explore DBIL as a potential predictor of post-stroke neurological recovery and to understand its role in ischemic stroke pathophysiology better.

Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19.

In this article, we define mixed predictor and stochastic restricted ridge predictor of partially linear mixed measurement error models by taking advantage of Kernel approximation. Under matrix mean square error criterion, we make the comparison of the superiorities the linear combinations of the new defined predictors. Then we investigate the asymptotic normality characteristics and the situation of the unknown covariance matrix of measurement errors. Finally, the study is ended with a Monte Carlo simulation study and COVID-19 data application.

Predicting cerebral infarction in tuberculous meningitis and its prognostic significance.

Aim: Tuberculous meningitis (TBM) often causes cerebral infarction, but its predictive factors are not well understood. Methods: Patients aged ≥13 years admitted with TBM were enrolled prospectively. Cerebral infarction was diagnosed using magnetic resonance imaging. Results: Of 186 patients, 80 (43%) had infarction. Most infarctions were multiple and located in the cortical areas, basal ganglia and subcortical regions. Independent predictors of infarction at admission included high blood pressure, short illness duration, low Glasgow coma scale and hydrocephalus. Neuroimaging inflammation signs, cerebrospinal fluid analysis abnormalities and pre-existing cardiovascular risks did not predict infarction. In-hospital mortality was higher in TBM with infarction, particularly in those with advanced TBM (stage 3). Conclusion: Baseline parameters of raised intracranial pressure predict cerebral infarction in TBM.

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pKalculator: A pK a predictor for C-H bonds.

Determining the pK a values of various C-H sites in organic molecules offers valuable insights for synthetic chemists in predicting reaction sites. As molecular complexity increases, this task becomes more challenging. This paper introduces pKalculator, a quantum chemistry (QM)-based workflow for automatic computations of C-H pK a values, which is used to generate a training dataset for a machine learning (ML) model. The QM workflow is benchmarked against 695 experimentally determined C-H pK a values in DMSO. The ML model is trained on a diverse dataset of 775 molecules with 3910 C-H sites. Our ML model predicts C-H pK a values with a mean absolute error (MAE) and a root mean squared error (RMSE) of 1.24 and 2.15 pK a units, respectively. Furthermore, we employ our model on 1043 pK a-dependent reactions (aldol, Claisen, and Michael) and successfully indicate the reaction sites with a Matthew's correlation coefficient (MCC) of 0.82.