Predictors Of Outcome Research Articles

Distance to thrombus, ischemic lesion volume and clinical outcome after thrombectomy for M1 middle cerebral artery occlusion.

Stroke resulting from occlusion of the middle cerebral artery (MCA) can have devastating consequences, potentially leading to aloss of independence. This study aimed to investigate the relationship between the distance to the thrombus (DT) and both ischemic lesion volume (ILV) and clinical outcomes. We retrospectively evaluated patients with thromboembolic MCA M1 segment occlusion who underwent neurovascular imaging followed by endovascular thrombectomy (EVT) at two comprehensive stroke centers over a3-year period (2018-2020). Preinterventional computed tomography (CT) or magnetic resonance (MR) angiography was used to measure DT, defined as the distance from the carotid‑T bifurcation to the proximal surface of the M1 occlusion. Postinterventional CT or MR imaging was employed to determine the ILV and clinical outcomes were assessed using the modified Rankin scale (mRS) at 3 months. There were 346 patients evaluated. The median DT was 9.4 mm (interquartile range, IQR 6.0-13.7 mm) and the median ILV was 13.9 ml (IQR 2.2-53.1 ml). After adjustment, an increase in DT was associated with adecrease in odds for a larger ILV (odds ratio, OR 0.96, 95% confidence interval, CI 0.92-0.99, p = 0.041). Through this association, more distal thrombi were associated with good clinical outcome (mRS 0-2; clinical outcome available in 282 patients, p = 0.018). The ILV was inversely associated with better clinical outcome OR 0.52 (95% CI 0.40-0.67). Based on the findings, DT was identified as an independent albeit weak predictor for ILV and clinical outcomes in patients with MCA M1 occlusion who underwent EVT.

Post-traumatic hyperoxia after pediatric TBI.

Hyperoxia has been suggested as a mechanism for secondary injury following adult traumatic brain injury (TBI), but its effects have not been well described in pediatric patients. Pediatric (≤18yo) TBI patients were identified in a prospective institutional registry from October 2008 to April 2022. The first, highest, and the Area Under the Curve (AUC) PaO2 in the first 24 hours were collected and calculated for each patient from arterial blood gas reports after admission to the ICU. Neurological outcome after 6 months was measured using dichotomized modified Rankin Scale (mRS) and Glasgow Outcome Scale - Extended (GOS-E). Multivariable logistic regression models were used to determine if the three measurements for hyperoxia predicted an unfavorable outcome after controlling for well-established clinical and imaging predictors of outcome. We identified 98 pediatric patients with severe accidental TBI during the study period. Hyperoxia (PaO2 > 300 mmHg) occurred in 33% of the patients. The presence of elevated PaO2 values, determined by all three evaluations of hyperoxia, was not associated with unfavorable outcome after 6 months. Utilizing multiple methods to assess exposure, hyperoxia was present in a substantial number of patients with severe TBI but was not associated with an unfavorable outcome.

Does pain self-efficacy predict, moderate or mediate outcomes in people with chronic headache; an exploratory analysis of the CHESS trial

BackgroundChronic headache disorders are disabling. The CHESS trial studied the effects of a short non-pharmacological intervention of education with self-management support for people affected by migraine and/or tension type headache for at least 15 days per month for at least three months. There were no statistically significant effects on the Headache Impact Test-6 (HIT-6) at 12-months. However, we observed improvement in pain self-efficacy questionnaire (PSEQ) and short-term HIT-6. We explored the impact of the CHESS intervention on PSEQ, and subsequently, on the HIT-6 and chronic headache quality of life questionnaire (CH-QLQ) at four, eighth and 12 months.MethodsWe included all 736 participants from the CHESS trial. We used simple linear regression models to explore the change of HIT-6 and CH-QLQ with treatment and PSEQ at baseline (predictor analysis), and the interaction between treatment and baseline PSEQ (moderator analysis). We considered the change of PSEQ from baseline to four months as a mediator in the mediation analysis.ResultsBaseline PSEQ neither predicted nor moderated outcomes. The prediction effect on change of HIT-6 from baseline to 12 months was 0.01 (95% CI, -0.03 to 0.04) and the interaction (moderation) effect was −0.07 (95% CI, -0.15 to 0.002). However, the change of PSEQ from baseline to 4-month mediated the HIT-6 (baseline to 8-, and 12-month) and all components of CH-QLQ (baseline to 8-, and 12-month). The CHESS intervention improved the mediated variable, PSEQ, by 2.34 (95% CI, 0.484 to 4.187) units and this corresponds to an increase of 0.21 (95% CI, 0.03 to 0.45) units in HIT-6 at 12-months. The largest mediated effect was observed on the CH-QLQ Emotional Function, an increase of 1.12 (95% CI, 0.22 to 2.20).ConclusionsPSEQ was not an effective predictor of outcome. However, change of short-term PSEQ mediated all outcomes, albeit minimally. Future behavioural therapy for chronic headache may need to consider how to achieve larger, and more sustained increases level of self-efficacy than that achieved within the CHESS trial.Trial registrationISRCTN79708100.

Employing machine learning for enhanced abdominal fat prediction in cavitation post-treatment

This study investigates the application of cavitation in non-invasive abdominal fat reduction and body contouring, a topic of considerable interest in the medical and aesthetic fields. We explore the potential of cavitation to alter abdominal fat composition and delve into the optimization of fat prediction models using advanced hyperparameter optimization techniques, Hyperopt and Optuna. Our objective is to enhance the predictive accuracy of abdominal fat dynamics post-cavitation treatment. Employing a robust dataset with abdominal fat measurements and cavitation treatment parameters, we evaluate the efficacy of our approach through regression analysis. The performance of Hyperopt and Optuna regression models is assessed using metrics such as mean squared error, mean absolute error, and R-squared score. Our results reveal that both models exhibit strong predictive capabilities, with R-squared scores reaching 94.12% and 94.11% for post-treatment visceral fat, and 71.15% and 70.48% for post-treatment subcutaneous fat predictions, respectively. Additionally, we investigate feature selection techniques to pinpoint critical predictors within the fat prediction models. Techniques including F-value selection, mutual information, recursive feature elimination with logistic regression and random forests, variance thresholding, and feature importance evaluation are utilized. The analysis identifies key features such as BMI, waist circumference, and pretreatment fat levels as significant predictors of post-treatment fat outcomes. Our findings underscore the effectiveness of hyperparameter optimization in refining fat prediction models and offer valuable insights for the advancement of non-invasive fat reduction methods. This research holds important implications for both the scientific community and clinical practitioners, paving the way for improved treatment strategies in the realm of body contouring.

Predicting outcome after aneurysmal subarachnoid hemorrhage by exploitation of signal complexity: a prospective two-center cohort study

BackgroundSignal complexity (i.e. entropy) describes the level of order within a system. Low physiological signal complexity predicts unfavorable outcome in a variety of diseases and is assumed to reflect increased rigidity of the cardio/cerebrovascular system leading to (or reflecting) autoregulation failure. Aneurysmal subarachnoid hemorrhage (aSAH) is followed by a cascade of complex systemic and cerebral sequelae. In aSAH, the value of entropy has not been established yet.MethodsaSAH patients from 2 prospective cohorts (Zurich—derivation cohort, Aachen—validation cohort) were included. Multiscale Entropy (MSE) was estimated for arterial blood pressure, intracranial pressure, heart rate, and their derivatives, and compared to dichotomized (1–4 vs. 5–8) or ordinal outcome (GOSE—extended Glasgow Outcome Scale) at 12 months using uni- and multivariable (adjusted for age, World Federation of Neurological Surgeons grade, modified Fisher (mFisher) grade, delayed cerebral infarction), and ordinal methods (proportional odds logistic regression/sliding dichotomy). The multivariable logistic regression models were validated internally using bootstrapping and externally by assessing the calibration and discrimination.ResultsA total of 330 (derivation: 241, validation: 89) aSAH patients were analyzed. Decreasing MSE was associated with a higher likelihood of unfavorable outcome independent of covariates and analysis method. The multivariable adjusted logistic regression models were well calibrated and only showed a slight decrease in discrimination when assessed in the validation cohort. The ordinal analysis revealed its effect to be linear. MSE remained valid when adjusting the outcome definition against the initial severity.ConclusionsMSE metrics and thereby complexity of physiological signals are independent, internally and externally valid predictors of 12-month outcome. Incorporating high-frequency physiological data as part of clinical outcome prediction may enable precise, individualized outcome prediction. The results of this study warrant further investigation into the cause of the resulting complexity as well as its association to important and potentially preventable complications including vasospasm and delayed cerebral ischemia.

Efficacy of Bedside Index for Severity In Acute Pancreatitis (Bisap) Score As Predictor of In-Hospital Outcome in Acute Pancreatitis

Background: Acute pancreatitis is a potentially life-threatening condition characterized by inflammation of the pancreas. Early identification of patients at risk of severe disease is crucial for devising appropriate management strategies and improving outcomes. The aim of the study was to investigate the efficacy of BISAP score as predictor of in-hospital outcome in patients with acute pancreatitis. Methods: This was a longitudinal study conducted in Department of Medicine, Sir Salimullah Medical College Mitford Hospital, Dhaka from January 2023 to December 2023. After ethical approval, a total 107 subjects were included in this study based on inclusion and exclusion criteria. Severity of the disease was assessed by BISAP score. Theoutcome determinants were length of hospital stay, complete recovery, partial recovery with complication, transfer to ICU and mortality. Chi Square test, Binominal Regression analysis and Receiver operator characteristic (ROC) curve analysis were performed as applicable. p value <0.05 was considered as the level of significance. Results: The mean BISAP score among 107 study participants was 2.00 ± 0.76. Patients with BISAP score ³3 had significantly increased odds of prolonged hospital stay (OR: 11.226; 95% CI: 2.985- 42.222; p<0.001), higher rate of partial recovery with complications (OR: 7.302; 95.325% CI: -20.997; p<0.001). <0.001), and greater likelihood of intensive care unit (ICU) transfer (OR: 1.136; 95% CI: 0.968-1.333; p=0.004). A BISAP score cutoff value of ³3 was associated with increased length of hospital stay (sensitivity 91.3%, specificity 97.6%, AUC=0.945), partial recovery with complications (sensitivity 83.3%, specificity 96.4%, AUC=0.899), and ICU transfer (sensitivity 75%, specificity 80.6%, AUC=0.778).Conclusion: It can be concluded that increased BISAP score can be served as an independent predictor of in-hospital in patients with acute pancreatitis (AP). Bangladesh J Medicine 2024; 35: 88-92

CatLet score and clinical CatLet score as predictors of long-term outcomes in patients with acute myocardial infarction presenting later than 12 hours from symptom onset

Background Our recently developed C oronary A rtery T ree description and L esion E valua T ion (CatLet) angiographic scoring system is unique in its description of the variability in the coronary anatomy, the degree of stenosis of a diseased coronary artery, and its subtended myocardial territory, and can be utilized to predict clinical outcomes for patients with acute myocardial infarction (AMI) presenting ≤12 h after symptom onset. The current study aimed to assess whether the Clinical CatLet score (CCS), as compared with CatLet score (CS), better predicted clinical outcomes for AMI patients presenting >12 h after symptom onset. Methods CS was calculated in 1018 consecutive AMI patients enrolled in a retrospective registry. CCS was calculated by multiplying CS by the ACEF I score (age, creatinine, and left ventricular ejection fraction). Primary endpoint was major adverse cardiac events (MACEs) at 4-year-follow-up, a composite of cardiac death, myocardial infarction, and ischemia-driven revascularization. Results Over a 4-year follow-up period, both scores were independent predictors of clinical outcomes after adjustment for a broad spectrum of risk factors. Areas-under-the-curve (AUCs) for CS and CCS were 0.72(0.68–0.75) and 0.75(0.71–0.78) for MACEs; 0.68(0.63–0.73) and 0.78(0.74–0.83) for all-cause death; 0.73(0.68–0.79) and 0.83(0.79–0.88) for cardiac death; and 0.69(0.64–0.73) and 0.75(0.7–0.79) for myocardial infarction; and 0.66(0.61–0.7) and 0.63(0.58–0.68) for revascularization, respectively. CCS performed better than CS in terms of the above-mentioned outcome predictions, as confirmed by the net reclassification and integrated discrimination indices. Conclusions CCS was better than CS to be able to risk-stratify long-term outcomes in AMI patients presenting >12 h after symptom onset. These findings have indicated that both anatomic and clinical variables should be considered in decision-making on management of patients with AMI presenting later.

Pulmonary Vein Isolation for Atrial Fibrillation: Comparison of a Very High-Power Very Short-Duration (vHPvSD) Ablation Protocol Versus a Hybrid Ablation Approach—Procedural and Mid-Term Outcome Data

Background: Pulmonary vein isolation (PVI) using radiofrequency ablation (RFA) is a standard-of-care treatment in the rhythm control strategy of symptomatic atrial fibrillation (AF). Ablation protocols, varying in the power and duration of energy delivery, have changed rapidly in recent years. Very high-power very short-duration ablation (vHPvSD) is expected to shorten procedural times compared to conventional ablation approaches. However, the existing data suggest that this might come at the cost of lower first-pass isolation rates, a predictor of poor ablation long-term outcomes. This study aims to compare a vHPvSD protocol to a hybrid strategy, in which the power and duration of the energy transfer are adapted depending on the anatomical location. Methods: We retrospectively analyzed procedural and outcome data from 93 patients (55 vHPvSD vs. 38 hybrid) scheduled for de novo pulmonary vein isolation. A vHPvSD ablation protocol (90 Watt (W), 4 seconds (s)) was compared to a hybrid protocol using vHPvSD on the posterior wall and 50 W HPSD (high-power short-duration) ablation guided by the Ablation Index along the remaining spots. Results: Ablation times were significantly shorter in the vHPvSD cohort (5.4 min. vs. 14.2 min, p < 0.001), thus resulting in a significant reduction in the overall procedural duration (91 min vs. 106 min, p = 0.003). The non-significant slightly higher first-pass isolation rates in the vHPvSD cohort (85% vs. 76%, p = 0.262) did not affect freedom from AF 6 months after the procedure (83% vs. 87%, p = 0.622). Conclusion: vHPvSD helps in shortening the PVI procedural duration, thus neither affecting first-pass isolation rates nor freedom from atrial tachyarrhythmia recurrence at 6 months after the index procedure.

Predictors of functional outcome after stroke: Sex differences in older individuals.

Sex differences in stroke are well documented, with females being older at onset, with more severe strokes and worse outcomes than males. Females receive less comprehensive stroke unit treatment. Similarly, older individuals receive poorer quality care than younger ones. There is limited research on sex differences in factors that impact 3-month poststroke functional outcome in people older than 80 years. This register-based and cross-sectional study analyzed data from two stroke quality registers in Sweden from 2014 through 2019. The study included patients aged ≥80 with a diagnosis of ischemic or hemorrhagic stroke. Sociodemographic features, prestroke condition, stroke severity on admission (National Institutes of Health Stroke Scale [NIHSS]), stroke unit care, rehabilitation plans, and 3-month poststroke functional outcome measured with the modified Rankin Scale were analyzed. Ordinal regression analyses stratified by sex were conducted to assess sex differences in factors that impact poststroke functional outcome 3 months after the stroke. A total of 2245 patients were studied with the majority (59.2%) being females. Females experienced more severe strokes (NIHSS median 4 vs. 3, p = 0.01) and were older at stroke onset than males (87.0 vs. 85.4, p < 0.001). Females were also less independent prestroke (69.9% vs. 77.4%, p < 0.001) and a higher proportion of females lived alone (78.2% vs. 44.2%, p < 0.001). Males received intravenous thrombolysis more often than females (16.3% vs. 12.0%, p = 0.005). Regarding 3-month functional outcome, males benefited more from thrombolysis (odds ratio [OR] 0.52, 95% confidence interval [CI] 0.30-0.83), whereas females benefited more from thrombectomy (OR 0.40, 95% CI 0.20-0.71). Stroke care should be adapted to sex disparities in older individuals, while clinicians should be aware of these sex disparities. Further research could clarify the mechanisms behind these disparities and lead to a more personalized approach to stroke care of the older population.

Review of the Diagnostic and Prognostic Values of Cardiac Markers in Diabetes

Abstract Introduction Cardiovascular disease is a leading cause of mortality in people with diabetes (PWD). We aimed to explore the role of troponin T (TnT) and probrain natriuretic peptide (proBNP) as screening and prognostic indicators of cardiovascular morbidity and mortality in PWD in the existing literature. Methods This review paper is a focused narrative nonsystematic review of the literature which examined relevant publications pertinent to the significance of cardiac biomarkers. We aimed to investigate the diagnostic value of cardiac TnT (cTnT) and cTnI in addition to proBNP in diabetes and the prognostic value of cTnT and proBNP in diabetic and nondiabetic patients. The process of searching through literature was conducted from December 2022 to April 2023. Searches were done across PubMed and Google Scholar databases to identify relevant articles published from January 2001 to April 2023. The selected were entered into EndNote 20 software to extract the title and abstract. Results A total of 75 articles were identified in Google Scholar in addition to 32 articles from PubMed. After a thorough review, only a total of 22 articles were selected, pointing out those which discussed the pathophysiology and diagnostic, prognostic, and screening values of the types of Tn and proBNP markers. The value of TnT in PWD, specifically T2D, is threefold higher than in healthy patients. Individuals with high levels of high-sensitivity (hs) cTnI or cTnT were at the highest mortality risk. Nonetheless, N-terminal (NT)-proBNP and TnT function independently as predictors of unfavorable outcomes. Conclusions TnT is an important early screening tool prognostic indicator. Elevated TnT was associated with an increased risk of cardiovascular events in PWD. hs-cTn may help diabetes-related clinical care for older persons by identifying those at high mortality risk; furthermore, in diabetic individuals, NT-pro-BNP appears to be 92% sensitive and 90% specific for the diagnosis of heart failure.

Stepping Together for Children After Trauma (ST-CT): Feasibility and Predictors of Outcome of a Parent-led, Therapist Assisted Treatment.

Stepping Together for Children after Trauma (ST-CT) is the first step of the promising intervention Stepped Care CBT for Children after Trauma. In ST-CT, the task of leading treatment is partially shifted to the parents, and the child and parent work together to complete therapeutic tasks from a workbook with therapist supervision. We aimed to investigate the feasibility of ST-CT in Norwegian first line services and explore child factors predicting outcome. Eighty-two children (mean age 9.9years, 56% girls) participated. Feasibility was defined by treatment completion, reductions of child posttraumatic stress symptoms (PTSS) mid- and post-treatment, and client treatment satisfaction. Predictors included child baseline PTSS, depressive symptoms, posttraumatic cognitions, externalizing symptoms, number of different traumatic events, and type of trauma. Results showed that rates of completion (78.0%) and response (81% of completers/59.8% intention-to-treat) were comparable to previous studies by the ST-CT developer. Overall treatment effect was d = 2.46 and client treatment satisfaction was high (mean score child: 8.3, parent: 9.0, on a scale from 0 - 10). Higher baseline PTSS and depressive symptoms predicted poorer outcome at both mid- and post-treatment, while more posttraumatic cognitions, and exposure to interpersonal trauma predicted poorer outcome at mid-treatment only. These associations were no longer significant in the fully adjusted models. In conclusion, ST-CT shows promise as an effective first line treatment in this new context, with two of three children responding to the treatment. Baseline PTSS, depression, post-traumatic cognitions and type of trauma may be related to outcomes and should be explored further. (Trial registration: ClinicalTrials.gov Identifier: NCT04073862. Retrospectively registered June 3rd 2019, first patient recruited May 19th 2019).

Effects of mTBI with loss of consciousness on neurobehavioral symptoms, depression, and insomnia in former collegiate and NFL football athletes

ABSTRACT Objective Considering that diagnostic decisions about mTBI are often predicated on clinical symptom criteria, it is imperative to determine which initial presentation features of mTBI have prognostic significance for identifying those at high risk for long-term functional impairment. Setting Zoom interview Participants: Male, former NCAA Division I, and professional-level National Football League (NFL) athletes (n = 177) between the ages of 27 and 85 (M = 54.1, SD = 14.7). Design Cross-sectional case-control. Main Measures: History of mild TBI, history of loss of consciousness (LOC), depression symptoms, insomnia, neurobehavioral symptoms. Results Number of mTBI exposures did not predict neurobehavioral symptoms (B = 0.21, SE = 0.18, p = 0.23), but number of mTBI + LOC events did (B = 2.27, SE = 0.64, p = <.001). Further analysis revealed that the number of mTBI + LOC events predicted neurobehavioral symptoms indirectly through both depression (B = 0.85, 95% CI = [0.27, 1.52) and insomnia (B = 0.81, 95% CI = [0.3, 1.4]). Further, the direct effect of mTBI + LOC events on neurobehavioral symptoms became non-significant when depression and insomnia were added to the model (B = 0.78, SE = 0.45, p = 0.08). Conclusions Findings support LOC at time of injury as an important predictor of long-term outcomes. Additionally, results suggest depression and insomnia as potential mediators in the association between mTBI + LOC and neurobehavioral symptoms. These findings provide justification for early depression and insomnia symptom monitoring following mTBI + LOC.

Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning

Our aim was to develop a machine learning-based predictor for early mortality and severe intraventricular hemorrhage (IVH) in very-low birth weight (VLBW) preterm infants in Taiwan. We collected retrospective data from VLBW infants, dividing them into two cohorts: one for model development and internal validation (Cohort 1, 2016–2021), and another for external validation (Cohort 2, 2022). Primary outcomes included early mortality, severe IVH, and early poor outcomes (a combination of both). Data preprocessing involved 23 variables, with the top four predictors identified as gestational age, birth body weight, 5-min Apgar score, and endotracheal tube ventilation. Six machine learning algorithms were employed. Among 7471 infants analyzed, the selected predictors consistently performed well across all outcomes. Logistic regression and neural network models showed the highest predictive performance (AUC 0.81–0.90 in both internal and external validation) and were well-calibrated, confirmed by calibration plots and the lowest two mean Brier scores (0.0685 and 0.0691). We developed a robust machine learning-based outcome predictor using only four accessible variables, offering valuable prognostic information for parents and aiding healthcare providers in decision-making.

Self-efficacy, motivation, social support, and alliance as predictors of youth psychotherapy outcomes in usual care

Objective We examined how youth self-efficacy, motivation for treatment, social support, and therapeutic alliance relate to psychotherapy outcomes of patients receiving services at outpatient community clinics. We hypothesized that (1) these variables would increase throughout the course of therapy, (2) baseline scores would predict initial ratings of distress, (3) baseline scores would predict the rate of change in symptoms throughout treatment, and (4) changes in these variables would be associated with symptom change over the course of treatment. Method Participants included 150 adolescents at community outpatient treatment centers. Data was collected prior to beginning treatment, and every three weeks afterward until termination. We used hierarchical linear modeling (HLM) to address our hypotheses. Results We found that (1) youth ratings of self-efficacy, social support, and motivation increased throughout treatment, (2) initial self-efficacy and social support were associated with initial levels of distress, (3) ratings of youth self-efficacy at intake predicted its rate of change over therapy, and (4) changes in all variables during therapy were related to lower distress at termination. Discussion Results suggest that these variables may affect the trajectory and course of treatment in community-based treatment settings. These results may have implications for treatment planning to maximize treatment effectiveness.

Glucose-to-Lymphocyte Ratio (GLR) as an Independent Prognostic Factor in Patients with Resected Pancreatic Ductal Adenocarcinoma—Cohort Study

Background: We retrospectively evaluated the usefulness of an elevated glucose-to-lymphocyte ratio (GLR) as a sensitive prognostic biomarker of disease-specific survival in 338 patients who underwent surgical resection of pancreatic ductal adenocarcinoma (PDAC). Methods: The optimal GLR cutoff value was determined using the method of Contal and O’Quigley. Patient demographics, clinical information, and imaging data were analyzed to identify preoperative predictors of long-term survival outcomes. Results: Elevated GLR correlated significantly with aggressive tumor biologic behaviors, such as a high carbohydrate antigen (CA) 19-9 level (p = 0.003) and large tumor size (p = 0.011). Multivariate analysis identified (1) GLR &gt; 92.72 [hazard ratio (HR) = 2.475, p &lt; 0.001], (2) CA 19-9 level &gt; 145.35 (HR = 1.577, p = 0.068), and (3) symptoms (p = 0.064) as independent predictors of long-term, cancer-specific survival. These three risk factors were used to group patients into groups 1 (0 factors), 2 (1–2 factors), and 3 (3 factors), which corresponded to significantly different 5-year overall survival rates (50.2%, 34.6%, and 11.7%, respectively; p &lt; 0.001). Conclusions: An elevated preoperative GLR is associated with aggressive tumor characteristics and is an independent predictor of poor postoperative prognosis in patients with PDAC. Further prospective studies are required to verify these findings.

Clinical predictive value of the age, creatinine, and ejection fraction score in patients in acute type A aortic dissection after total arch replacement

The age, creatinine, and ejection fraction (ACEF) score has been accepted as a predictor of poor outcome in elective operations. This study aimed to investigate the predictive value of ACEF score in acute type A aortic dissection (AAAD) patients after total arch replacement. A total of 227 AAAD patients from July 2021 and June 2022 were enrolled and divided into Tertiles 1 (ACEF ≤ 0.73), Tertiles 2 (0.73 < ACEF ≤ 0.95), and Tertiles 3 (ACEF > 0.95). Using inverse probability processing weighting (IPTW) to balance the baseline characteristics and compare the outcomes. Cox logistic regression was used to further evaluate the survival prediction ability of ACEF score. The in-hospital mortality was 9.8%. After IPTW, in the baseline characteristics reached an equilibrium, a higher ACEF score before operation still associated with higher in-hospital mortality. After 1 year follow-up, 184 patients (90.6%) survival. Multivariable analysis revealed that ACEF score (adjusted hazard ratio 1.68; 95% confidence interval 1.34–4.91; p = 0.036) and binary ACEF score (adjusted HR 2.26; 95% CI 1.82–6.20; p < 0.001) was independently associated with 1-year survival. In addition, net reclassification improvement (NRI) and integrated differentiation improvement (IDI) verified that the ACEF score and binary ACEF score is an accurate predictive tool in clinical settings. In conclusions, ACEF score could be considered as a useful tool to risk stratification in patients with AAAD before operation in daily clinical work.

Belonging in engineering: Exploring the predictive relevance of social interaction and individual factors on undergraduate students' belonging in engineering

AbstractBackgroundBelonging in their academic discipline affects students' participation and retention in engineering. While prior studies have conceptualized belonging as a predictor of outcomes, this study examines belonging as an outcome that depends on interpersonal and intrapersonal variables.PurposeThis quantitative study tested a conceptual model of academic belonging for undergraduate engineering students that hypothesized how intrapersonal and interpersonal variables predict belonging in engineering. The model proposed that engineering students' satisfaction with and valuing of their academic discipline mediate these predictors' effects on belonging.Design/MethodsThis study sampled undergraduate engineering students (n = 849) across six universities and used structural equation modeling to examine the direct and indirect effects of four exogenous variables (achievement striving, grit, peer interaction, faculty interaction) on one endogenous variable (academic belonging). The model included satisfaction with and valuing of their academic discipline as mediator variables.ResultsThe direct effects of peer interaction, faculty interaction, as well as passion and perseverance (sub‐constructs of grit) on academic belonging were significant. The direct effects of achievement striving on predicting academic belonging were not significant. Satisfaction mediated the effects of the predictors on students' sense of belonging in engineering.ConclusionsPeer interaction was the most robust contributor to belonging, while faculty interaction and the value that students ascribe to their academic discipline predicted their sense of belonging in engineering. This work provides a novel model of belonging in engineering and its interpersonal and intrapersonal antecedents with educational, policy, and research implications to improve engineering students' belonging within their academic discipline.

Depression Literacy and Depressive Symptoms: The Mediating Role of Self-Rated Mental Health Among Korean Americans

ABSTRACT Objective Depression literacy (DL) is increasingly recognized as an important predictor of mental health outcomes, but there remains a noticeable lack of scientific inquiry focusing on Korean Americans in this area. In addition, women are known to be more susceptible to depression, potentially affecting their DL and depressive symptoms differently than men. This study aimed to explore two primary objectives: (1) the potential role of self-rated mental health (SRMH) in mediating the association between DL and depressive symptoms in this population, and (2) whether gender differences exist in the presence and magnitudes of these mediation effects. Method Data were drawn from a survey with 693 Korean Americans aged 18 and older residing in New York and New Jersey. The PROCESS macro was used to test the mediation effect of self-rated mental health on the relationship between depression literacy and depressive symptoms in men and women. Results Self-rated mental health was found to mediate the relation between depression literacy and depressive symptoms in women but not in men. Conclusions Providing evidence-informed, culturally tailored and gender specific depression literacy education and programs for the KA communities may be an important strategy to reduce depressive symptoms in this group.

Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis

BackgroundCurrent classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this heterogenous syndrome. The role of classification of AKI based on early creatinine trajectories is unclear.MethodsThis retrospective study identified patients with Sepsis-3 who developed AKI within 48-h of intensive care unit admission using Medical Information Mart for Intensive Care-IV database. We used latent class mixed modelling to identify early creatinine trajectory-based classes of AKI in critically ill patients with sepsis. Our primary outcome was development of acute kidney disease (AKD). Secondary outcomes were composite of AKD or all-cause in-hospital mortality by day 7, and AKD or all-cause in-hospital mortality by hospital discharge. We used multivariable regression to assess impact of creatinine trajectory-based classification on outcomes, and eICU database for external validation.ResultsAmong 4197 patients with AKI in critically ill patients with sepsis, we identified eight creatinine trajectory-based classes with distinct characteristics. Compared to the class with transient AKI, the class that showed severe AKI with mild improvement but persistence had highest adjusted risks for developing AKD (OR 5.16; 95% CI 2.87–9.24) and composite 7-day outcome (HR 4.51; 95% CI 2.69–7.56). The class that demonstrated late mild AKI with persistence and worsening had highest risks for developing composite hospital discharge outcome (HR 2.04; 95% CI 1.41–2.94). These associations were similar on external validation.ConclusionsThese 8 classes of AKI in critically ill patients with sepsis, stratified by early creatinine trajectories, were good predictors for key outcomes in patients with AKI in critically ill patients with sepsis independent of their AKI staging.

ASSESSMENT OF LEFT VENTRICULAR FUNCTION AFTER CORONARY ARTERY BYPASS GRAFTING

Coronary artery bypass grafting (CABG) is a commonly performed surgical intervention for coronary artery disease (CAD), aiming to restore blood flow to the myocardium and improve cardiac function. Left ventricular (LV) systolic function is a crucial determinant of postoperative outcomes in CABG patients, yet the predictors of adverse outcomes remain incompletely understood. Objective: This study aimed to evaluate left ventricular function outcomes following CABG and identify predictors of mortality among CABG patients. Methods: A prospective cohort study was conducted at, Ch. Pervaiz Elahi Institute Of Cardiology (CPEIC), Multan, Pakistan, from December 2022 to December 2023. The study included 96 patients undergoing CABG surgery. Preoperative data collection encompassed demographic information, medical history, and baseline clinical characteristics. Left ventricular function was assessed using echocardiography preoperatively and postoperatively. Statistical analysis involved descriptive statistics, univariate analysis, and univariate regression. Results: The study cohort comprised 96 participants, with a mean age of 56.1 years (±12.2) and a male predominance (67.7%). Prevalent comorbidities included diabetes mellitus (78.1%) and hypertension (79.2%). LV systolic dysfunction (30.2%) and old ischemic heart disease (72.9%) were common preexisting conditions. Intraoperative variables included perioperative inotropes (5.2%) and emergent surgeries (3.1%). Postoperative complications included reoperation for bleeding (5.2%) and deterioration of LV ejection fraction (34.4%). The mortality rate was 5.2%. Postoperatively, the mean LVEF increased significantly from 32.00% (±5.219) to 37.00% (±9.801) in isolated CABG patients. Conclusion: This study confirms the significant improvement in LV systolic function following CABG and underscores the high benefit of CABG in patients with reduced EF. However, diabetes mellitus, advanced diastolic dysfunction, and the insertion of IABP were identified as significant predictors of adverse outcomes. Identifying patients with these risk predictors could provide complementary prognostic information and help optimise care, monitoring, and follow-up to improve their expected poor outcomes.