Predictors Of Success Research Articles

Outcomes of Trabeculectomy and Predictors of Success in Patients of African Ancestry with Primary Open Angle Glaucoma.

To investigate outcomes of trabeculectomy ab externo in African ancestry primary open-angle glaucoma (POAG) patients, and to analyze the impact of demographic and phenotypic factors on surgical success and complication rates. A retrospective case-control study enrolled 63 eyes of 55 POAG cases who underwent trabeculectomy ab externo. Data on demographics, family glaucoma history, surgical specifics, and pre/postoperative measures (intraocular pressure, visual acuity, visual field, medication usage, complications within one year) were collected. Analysis included linear/logistic regression models adjusting for inter-eye correlation. Trabeculectomy yielded success without additional medication in 46%, qualified success with medication in 22%, and surgical failure necessitating further intervention in 32% within one year. Subjects experienced reduction in intraocular pressure (IOP) (46%), daily glaucoma medication (73%), and eye drop usage (67%) 1-year post-trabeculectomy (all P<0.001). However, there was a postoperative decline of 56% in visual acuity (VA) (P<0.001) and a significant worsening of visual field parameters, including a 14% decrease in mean deviation (P=0.02) and a 19% decrease in visual field index (P=0.004). Top of FormBottom of Form59% of patient eyes experienced complications within one year of surgery. Univariate analysis of predictive factors for surgical outcomes revealed that younger age at surgery (P=0.01) and family history of glaucoma (P=0.046) were predictive of lower rates of surgical success. Multivariable analysis revealed worse preoperative VA (OR 0.79 per 0.1 LogMAR increases, P=0.02) was associated with lower likelihood of surgical success. This study underscores the low rates of trabeculectomy success and high rates of complications in an African ancestry population with POAG. While the procedure exhibited positive effects on IOP control and medication reduction, our analysis found that multiple factors, particularly age, family history, and worse preoperative VA play crucial roles in influencing surgical success. Trabeculectomy in African ancestry individuals with primary open-angle glaucoma shows a 46% success rate and frequent complications, indicating that younger age and family history are significant predictors of surgical failure in this high-risk population.

Integrating Active Learning and DFT for Fast-Tracking Single-Atom Alloy Catalysts in CO2-to-Fuel Conversion.

Electrocatalytic carbon dioxide reduction (CO2RR) technology enables the conversion of excessive CO2 into high-value fuels and chemicals, thereby mitigating atmospheric CO2 concentrations and addressing energy scarcity. Single-atom alloys (SAAs) possess the potential to enhance the CO2RR performance by full utilization of atoms and breaking linear scaling relationships. However, quickly screening high-performance metal portfolios of SAAs remains a formidable challenge. In this study, we proposed an active learning (AL) framework to screen high-performance catalysts for CO2RR to yield fuels such as CH4 and CH3OH. After four rounds of AL iterations, the ML model attained optimal prediction performance with the test set R2 of approximately 0.94 and successful prediction was achieved for the binding free energy of *CHO, *COH, *CO, and *H on 380 catalyst surfaces with an accuracy within 0.20 eV. Subsequent analysis of the SAA catalysts' activity, selectivity, and stability led to the discovery of eight previously unexplored SAA catalysts for CO2RR. Notably, the surface activity of Ti@Cu(100), Au@Pt(100), and Ag@Pt(100) shines prominently. Utilizing DFT calculations, we elucidated the complete reaction pathway of the CO2RR on the surfaces of these catalysts, confirming their high catalytic activity with limiting potentials of -0.11, -0.34, and -0.46 eV, respectively, which are significantly lower than those of pure Cu catalysts. The results showcase the exceptional predictive prowess of AL, providing a valuable reference for the design of CO2RR catalysts.

Individual differences in emotion prediction and implications for social success.

The social world requires people to predict others' thoughts, feelings, and actions. People who successfully predict others' emotions experience significant social advantages. What makes a person good at predicting emotions? To predict others' future emotional states, a person must know how one emotion transitions to the next. People learn how emotions transition from at least two sources: (a) internal information, or one's own emotion experiences, and (b) external information, such as the social cues detected in a person's face. Across five studies collected between 2018 and 2020, we find evidence that both sources of information are related to accurate emotion prediction: individuals with atypical personal emotion transitions, difficulty understanding their own emotional experiences, and impaired emotion perception displayed impaired emotion prediction. This ability to predict others' emotions has real-world social implications. Individuals who make accurate emotion predictions have better relationships with their friends and communities and experience less loneliness. In contrast, disruptions in both internal and external information sources explain prediction inaccuracy in individuals with social difficulties, specifically with social communication difficulties common in autism spectrum disorder. These findings provide evidence that successful emotion prediction, which relies on the perception of accurate internal and external data about how emotions transition, may be key to social success. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prediction of the chance of successful immune tolerance induction in persons with severe hemophilia A and inhibitors: a clinical prediction model

BackgroundInhibitor eradication to restore factor VIII (FVIII) efficacy is the treatment goal for persons with severe hemophilia A (HA) and inhibitors. Immune tolerance induction (ITI) is demanding and successful in about 70% of people. Until now, it has remained difficult to quantify the probability of ITI success or failure, complicating the decision to initiate or not initiate ITI. Estimating the individual chance of ITI success allows clinicians, patients, and their families to support shared decision-making. ObjectiveWe aimed to identify clinical predictors of ITI success and to develop a clinical prediction model to estimate the chance of successful ITI in persons with severe HA. MethodsThis multicenter study included persons with severe HA who received ITI. Clinical data were collected. Successful ITI was defined by a negative inhibitor titer and an adequate response to FVIII concentrates. A multivariable logistic regression model was developed. Model performance and internal validation were performed. ResultsOf 206 participants with median age of 19.8 months (IQR 12.1-38.8) at ITI start, 148 (71.8%) achieved ITI success. Our clinical prediction model included four predictors of ITI success: cumulative number of FVIII exposure days at inhibitor development, peak inhibitor titer, ethnicity, and F8 mutation type. The C-statistic was 0.801 (95% CI, 0.70-0.87). ConclusionIn our study including 206 people with severe HA and inhibitors, we developed a clinical prediction model to estimate the chance of successful ITI. After future external validation, this clinical prediction model may be useful for informing clinicians and families.

An examination of the relationship between burnout and grit in college athletes

Burnout symptoms are a detrimental concern many athletes have at some point throughout their athletic careers. In order to assist athletes with performing at their optimal level, there is a need to better understand the burnout phenomena and the ways it can interact with other performance variables, such as grit. Given that grit is a predictor of success in a variety of domains (e.g., Duckworth & Yeager, 2015; Eskreis-Winkler et al., 2014; Fernández-Martin et al., 2020), the purpose of the study was to examine the relationship between grit and burnout. It was hypothesized that there would be an inverse correlation between grit and burnout. Grit and burnout data was collected from Division I student-athletes (n = 241) towards the end of their competitive seasons. Further, the student-athletes year in college was considered as a potential moderator between grit and burnout. The results indicated that student-athletes who scored higher in grit, also scored higher in burnout, hence the hypothesis was not supported. Additionally, there was a stronger positive relationship between grit and burnout for first-year students and sophomores, when compared with juniors and seniors. It is plausible athletes who are grittier are more likely to persevere through stress and challenges, including burnout symptoms, especially during their first two years of college. Athletes higher in grit may also be investing more effort into their sport, which could be increasing symptoms of burnout, as well. The results of this study warrant further investigation to clarify the interaction between grit and athlete burnout.

Transoral approach for hilo-parenchymal submandibular stones: outcomes and predictors of success

ObjectiveTo evaluate the efficacy and safety of transoral surgical management for complex submandibular gland (SMG) stones. Study DesignA retrospective cohort study of 240 patients treated for sialolithiasis between 2015 and 2018, focusing on 57 cases of submandibular gland stones that underwent stone removal procedures. Treatment methods, success rates, and complications were analyzed using Kaplan-Meier analysis, Cox proportional hazards regression, and multiple logistic regression. ResultsTransoral surgical release was successful in 72.9% of cases. The overall complication rate was 10%. Stone size (HR = 0.85, p = 0.004) and hilar location (HR = 0.72, p = 0.036) were associated with longer symptom resolution time. Multivariate analysis revealed that stone size (OR = 0.78, p = 0.009) and hilar location (OR = 0.45, p = 0.029) decreased the odds of successful removal. ConclusionTransoral surgical management of hilo-parenchymal SMG stones appears to be a safe and effective approach, potentially reducing the need for sialoadenectomy.

TCT-114 Suture-Mediated PFO Closure: Long-Term Outcomes and Predictors of Success

TCT-114 Suture-Mediated PFO Closure: Long-Term Outcomes and Predictors of Success

Comparative analysis of Glasgow Coma Scale, quick Sepsis-related Organ Failure Assessment, base excess, and lactate for mortality prediction in critically ill emergency department patients

Abstract OBJECTIVES: It is crucial to promptly identify high-mortality patients in emergency departments and initiate their treatment as soon as possible. Although many parameters have been studied to select patients with high mortality, no comprehensive evaluation exists in previous literature on these parameters in critically ill patients, regardless of patient groups. The aim of this study is to evaluate the Glasgow Coma Scale (GCS), quick Sepsis-related Organ Failure Assessment (qSOFA), blood gas base excess (BE), and blood gas lactate in predicting mortality in critically ill patients admitted to the emergency department. METHODS: This prospective observational cohort study included adult patients with Emergency Severity Index 1–2 (critically ill) admitted to the emergency department. All patients were evaluated by the physician within 10 min, and blood gas samples were taken. The data collection forms recorded the patients’ GCS and qSOFA scores at the time of first evaluation by the physician. The qSOFA score assessment was performed in all patients with ESI levels 1 and 2, regardless of whether infective pathology was suspected. Blood gas BE and lactate values were also from laboratory test results. Patients or their relatives were contacted by phone at the end of the 1st month to obtain information about the clinical condition (survival or mortality). RESULTS: A total of 868 patients were included, with 163 deaths observed within 30 days. GCS score, qSOFA score, and lactate value were significant in predicting mortality within 30 days. While the BE value was significant for predicting 30-day mortality for values equal to or below the lower limit of −1.5 (P &lt; 0.001), it was not significant for values equal to or above the upper limit of +3 (P &gt; 0.05). The most successful prediction model for predicting 30-day mortality was found to be qSOFA with a cutoff value of ≥1. CONCLUSION: In emergency departments, each of the GCS, qSOFA scores, BE, and lactate values can be used independently as a practical mortality prediction model in critically ill patients. Among these four models, qSOFA is the most successful practical mortality prediction model in critically ill patients.

Landscape Heterogeneity and Environmental Dynamics Improve Predictions of Establishment Success of Colonising Small Founding Populations.

In long-distance dispersal events, colonising species typically begin with a small number of founding individuals. A growing body of research suggests that establishment success of small founding populations can be determined by the context of the colonisation event and the new environment. Here, we illuminate the importance of these sources of context dependence. Using a spatially explicit, temporally dynamic, mechanistic, individual-based simulator of a model amphibian species, the cane toad (Rhinella marina), we simulated colonisation scenarios to investigate how (1) the number of founding individuals, (2) the number of dispersal events, (3) landscape's spatial composition and configuration of habitats ('spatially heterogeneous landscapes') and (4) the timing of arrival with regards to dynamic environmental conditions ('dynamic environmental conditions') influence the establishment success of small founding populations. We analysed the dynamic effects of these predictors on establishment success using running-window logistic regression models. We showed establishment success increases with the number of founding individuals, whereas the number of dispersal events had a weak effect. At ≥ 20 founding individuals, propagule size swamps the effects of other factors, to whereby establishment success is near-certain (≥ 90%). But below this level, confidence in establishment success dramatically decreases as number of founding individuals decreases. At low numbers of founding individuals, the prominent predictors are landscape spatial heterogeneity and dynamic environmental conditions. For instance, compared to the annual mean, founding populations with ≤ 5 individuals have up to 18% higher establishment success when they arrive in 'packed' landscapes with relatively limited and clustered essential habitats and right before the breeding season. Accounting for landscape spatial heterogeneity and dynamic environmental conditions is integral in understanding and predicting population establishment and species colonisation. This additional complexity is necessary for advancing biogeographical theory and its application, such as in guiding species reintroduction efforts and invasive alien species management.

Clinical Outcomes following Invasive Treatment of Femoropopliteal Artery Disease: A Retrospective Single-Center Cohort Study

PurposeTo identify predictors of clinical success in invasive treatment for femoropopliteal arterial disease aiding clinical decision-making. Materials and MethodsA retrospective analysis was performed on 676 consecutive patients who underwent a first episode of invasive treatment for femoropopliteal disease, either endovascular therapy (EVT) or femoropopliteal bypass (FPB), between 2004 and 2015. Primary end points were primary and secondary clinical patency and amputation rate. Kaplan–Meier curves were used to evaluate clinical patency. A Cox proportional hazard model explored predictors of primary end points. ResultsMost patients (58%) underwent EVT as primary intervention, while 42% underwent FPB. Median follow-up was 43 months. The only independent predictor for loss of primary clinical patency was critical limb-threatening ischemia (CLTI) (P = .008; hazards ratio [HR], 1.25; 95% CI, 1.07–1.47). Secondary clinical patency was positively associated with FPB surgery (P = .037; HR, 0.66; 95% CI, 0.44–0.97), a higher pre-interventional ankle–brachial index (P = .029; HR, 0.43; 95% CI, 0.20–0.92), more distal runoff vessels (P = .036; HR, 0.77; 95% CI, 0.60–0.98), and the absence of ischemic heart disease (P = .006; HR, 1.69; 95% CI, 1.16–2.47). In patients with CLTI, chronic renal failure predicted loss of primary and secondary clinical patency and increased amputation risk. ConclusionsIn this cohort, CLTI was independently associated with decreased primary clinical patency in invasive treatment for femoropopliteal disease. Secondary clinical patency was positively associated with FPB, higher ankle–brachial index, more runoff vessels, and the absence of ischemic heart disease.

Predictors of Clinical Success of Cardioneuroablation in Patients WithSyncope: Results of a Multicenter Study.

Cardioneuroablation (CNA) is a promising treatment for syncope. This study sought to analyze the success and risk of CNA ,and to describe predictive factors of CNA success in patients with syncope. Seventy-seven consecutive patients with syncope treated with CNA in 22 hospitals and at least 6months of follow-up were included. Patients with reflex cardioinhibitory, mixed syncope, functional sinus node dysfunction (SND), or functional atrioventricular block were included. The primary endpoint was the recurrence of syncope after the CNA. Mean age was 49.3 ± 13.4 years and 54.5% were women. Five (6.5%) patients presented complications. Three patients presented SND, 1 required a pacemaker. During a median follow-up of 12months (Q1-Q3: 8-20months), 26 (33.8%) patients had recurrence of syncope. Women had a significantly higher risk of recurrence compared with men (HR: 3.3; 95% CI: 1.2-8.8; P=0.016). Patients >50 years of age had a significantly lower risk of recurrence compared with younger patients (HR: 0.3; 95%CI: 0.1-0.9; P=0.032). The risk of recurrence in mixed syncope was significantly higher than in cardioinhibitory syncope (HR: 4.4; 95%CI: 1.1-17.5; P=0.033). Syncope recurrence was significantly less frequent in patients treated with general anesthesia or deep sedation compared with conscious sedation (HR: 0.2; 95%CI: 0.1-0.6; P=0.002). Finally, the number of radiofrequency applications (≤30 or >30) had a significant association with CNA success (HR: 0.4; 95%CI: 0.2-0.9; P=0.042). These results were adjusted for confounding factors. In this multicenter study, the effectiveness of CNA was less than previously reported. We found a 3.9% risk of SND. Male sex, age >50 years, cardioinhibitory syncope, general anesthesia or deep sedation, and >30 radiofrequency applications could predict success of CNA for syncope.

Nutritional status as a predictor for liver transplantation success: A pilot study

Nutritional status as a predictor for liver transplantation success: A pilot study

Driving Success in the Digital Age: The Role of Emotional Intelligence, Innovation, and Risk-Taking in Culinary MSMEs in South Banjarmasin District, Indonesia

The rapid growth of digital platforms has transformed the business landscape, presenting both challenges and opportunities for micro, small, and medium enterprises (MSMEs), particularly in the culinary sector. This study investigates the critical factors that drive business success in this dynamic digital age, focusing on the role of emotional intelligence, product innovation, and risk-taking propensity among culinary MSMEs in the South Banjarmasin District, Indonesia. Utilizing a quantitative approach, data were gathered from 40 culinary MSME owners or managers through a structured questionnaire. The research model, grounded in established theoretical frameworks, was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that while emotional intelligence and product innovation exhibit a positive association with business success, their direct impact was not statistically significant in this specific context. In contrast, risk-taking propensity emerged as a powerful predictor of business success, underscoring the importance of calculated risk-taking in navigating the complexities of the digital marketplace. This research contributes valuable insights into the entrepreneurial dynamics of digital-based culinary MSMEs. It highlights the critical role of risk-taking propensity in achieving success, suggesting that a willingness to embrace calculated risks is essential for thriving in the competitive digital landscape. The study also underscores the need for further research to explore the nuanced interplay of emotional intelligence, product innovation, and other factors in driving business success in this sector.

Success rate and outcome of labor epidural among variable levels of residents and practicing anesthesiologists in an academic medical center in Saudi Arabia

Background and Aims: This study aimed to highlight differences in success rates and patient outcomes during epidural insertion among anesthesia staff, junior trainees, and staff anesthesiologists. Methods: We included all women who received a labor epidural between January 1, 2020 and April 30, 2022. The cases were divided into three groups: junior residents, senior residents, and staff anesthesiologists. Results: Among 822 cases included in analysis, 92, 240, and 490 catheters were placed by junior residents, senior residents, and staff anesthesiologists, respectively. Although the success rate among junior residents (90.7%) was lower than those of senior residents (97%) and staff anesthesiologists (95.1%), the difference was not significant (P = 0.067). The mean procedural time in minutes was significantly longer in the junior resident’s group (18.1 min) compared to the senior residents (14.18 min) and staff anesthesiologists (14.87 min) (P &lt; 0.001). A significant difference was observed in the number of needle pricks and catheter insertion attempts when comparing the junior residents, senior residents, and staff anesthesiologists’ groups (P &lt; 0.001). In the logistic regression analysis, procedural time remained the only predictor of epidural success. Conclusions: With the success rate above 90%, junior anesthesia trainees require more time and attempts to insert labor epidurals. It is essential that training programs provide opportunities for anesthesia trainees to become proficient in their epidural insertion techniques prior to clinical practice.

Can Residual Inhibition Predict the Success of Sound Enrichment Treatment for Tinnitus?

The objective of this study was to investigate whether residual inhibition (RI), which provides information on the relationship between tinnitus and increased spontaneous activity in the auditory system, is a predictor for the success of sound enrichment treatment. Tinnitus patients were divided into two groups based on whether RI was achieved (RI+) or not (RI-). All participants underwent sound enrichment. Psychosomatic measures (for tinnitus severity, discomfort, attention deficit and sleep difficulties), Tinnitus Handicap Inventory (THI), minimum masking level (MML), and tinnitus loudness level (TLL) results were compared before and at 1, 3, and 6 months after treatment. Sixty-seven chronic tinnitus patients were divided into two groups based on whether RI was achieved (RI+) or not (RI-). There were 38 patients in the RI+ group and 29 in the RI- group. There was a statistically significant difference between the groups in psychosomatic measures, THI, MML and TLL scores at the post-treatment 6 months after treatment (p <.05). There was a statistically significant decrease in psychosomatic measures, THI, MML and TLL scores during the treatment period in the RI+ group, but not in the RI- group. RI may predict the prognosis of tinnitus treatments used in clinics to reduce the spontaneous firing rate of neurons in the central auditory system, and that RI positivity may be a predictor of treatment success in sound enrichment.

Reading Motivation and Achievement in Online Extensive Reading of English Text: A Systematic Review

The effect that online extensive reading (ER) of English texts has on learners' reading comprehension and motivation to read is not well understood. The purpose of this systematic review was to examine the efficacy of online ER by examining quantitative and mixed-methods studies that examined the effect of online ER on learners' reading achievement, motivation to read, and other perceptual and emotional aspects of English language proficiency. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria were followed in this study. Online ER-related articles were selected based on the predefined eligibility criteria. Then, the 31 English-language online ER studies published between 2010 and 2021 were screened and extracted from electronic databases. The screened studies were those that involved students above 15 years of age. The findings indicated that online ER activities could be used in two ways. First, teachers could incorporate online reading strategies and technological tools for online ER to help students improve their reading achievement. Second, if they wanted to increase their students' motivation to read, they could emphasize the use of online reading management systems and reading resources for ER. Additionally, the study discovered that the size of the vocabulary and the volume of reading were predictors of online ER's success. Additionally, the article discusses the review's implications.

Dynamics of Reliance on Algorithmic Advice

ABSTRACTThis study examines the dynamics of human reliance on algorithmic advice in a situation with strategic interaction. Participants played the strategic game of Rock–Paper–Scissors (RPS) under various conditions, receiving algorithmic decision support while facing human or algorithmic opponents. Results indicate that participants often underutilize algorithmic recommendations, particularly after early errors, but increasingly rely on the algorithm following successful early predictions. This behavior demonstrates a sensitivity to decision outcomes, with asymmetry: rejecting advice consistently reinforces rejecting advice again while accepting advice leads to varied reactions based on outcomes. We also investigate how personal characteristics, such as algorithm familiarity and domain experience, influence reliance on algorithmic advice. Both factors positively correlate with increased reliance, and algorithm familiarity significantly moderates the relationship between outcome feedback and reliance. Facing an algorithmic opponent increases advice rejection frequencies, and the determinants of trust and interaction dynamics differ from those with human opponents. Our findings enhance the understanding of algorithm aversion and reliance on AI, suggesting that increasing familiarity with algorithms can improve their integration into decision‐making processes.

Movie Success Prediction Based on Feature and Trailer Comments Using Ensemble+LSTM Model

Predicting the success of a movie is a very important aspect due to the high risks involved in movie production. The challenge lies in the uncertainty within the movie industry and selecting the appropriate machine learning model. We can combine movie features and sentiment analysis from social media using machine learning techniques to achieve movie success prediction. The methods used for predicting based on movie features are Ensemble models (Random Forest + Gradient Boosting). Meanwhile, the methods used for sentiment analysis of trailer comments is LSTM. The evaluation of the models used is based on RMSE and accuracy calculation. The final prediction of success obtains an RMSE of 0,8807 and an accuracy of 91,19%. This represents an improvement from previous research. Further research is recommended to implement the model in the movie industry

Predictors of success of retrograde angioplasty of superficial femoral artery occlusive diseases.

Predictors of success of retrograde angioplasty of superficial femoral artery occlusive diseases.

Detecting soil mixing, grain size distribution, and clogging potential of tunnel excavation face by classification-regression algorithms using EPBM operational data

Earth pressure balance machine (EPBM) operation is sensitive to the properties of the excavated soil due to the requirements of proper soil conditioning and maintenance of necessary chamber pressure. However, soil properties are invariably only available at a limited number of borehole explorations and soil samplings conducted during the subsoil investigation. Thus, it is crucial to identify properties of the tunnel excavation face, such as clay-sand mixed conditions, grain size distributions, and clogging potential along the whole alignment beside the few borehole locations to attain optimally efficient EPBM operation. Therefore, this paper presents the development of machine learning prediction models (i.e., classifiers and regressors) to estimate the properties of the tunnel excavation face using EPBM operational data collected during the tunneling operation as input features. Geotechnical data collected from boreholes and soil samples can be used to validate prediction models and calibrate them. To develop such models, the Northgate Link Extension (N125) tunneling project, constructed in Seattle, Washington, the USA, is used to capture and identify the true ground conditions. The results indicate successful prediction performances by the models, providing indication that EPBM parameters are crucial pointers of the tunnel excavation face properties to help attain optimally efficient EPBM operation.