Significant Predictors Of Outcome Research Articles

STOPPING ANTIHYPERTENSIVE TREATMENT AMONG HYPERTENSIVE PATIENTS IN PRIMARY CARE: THE STOP-TRIAL

Objective: Objective: Frequently antihypertensive therapy (AHT) is initiated without the confirmation of high blood pressure (BP) outside the office. Such AHT initiation based solely on office BP measurements may lead to overtreatment of otherwise non-hypertensive people who do not have a clinical indication for AHT. Therefore, identifying people in whom AHT can be safely discontinued is clinically important. The STOP-Trial aimed to identify factors associated with one-year normal BP maintenance after discontinuation of monotherapy or low-dose dual AHT among people with controlled BP and no cardiovascular target-organ damage. Design and method: Design and Method: We performed a multicenter non-randomized open-label trial screening people without target organ damage on AHT. AHT could be discontinued if BP was confirmed as controlled based on repeated home blood pressure measurements (HBPM) (i.e.,<135/85mmHg). The primary endpoint was one-year normal BP maintenance as assessed by HBPM. Results: Results: Among 401 screened individuals, 218(54.4%) were included after confirming they had controlled BP in HBPM and AHT was consequently discontinued. Among these 218 individuals, 73(33%) exhibited normal BP in HBPM at one year without any AHT (Figure). In univariable analysis, baseline office BP measurements were not significant predictors of the primary outcome whereas HBPM were. On multivariable analysis, higher average SBP and DBP on HBPM prior to AHD stop was associated with lower rates of one-year normal BP (OR for 5 mmHg of respectively, SBP=0.72, 0.56-0.94, p=0.014, and DBP=0.56, 0.41-0.77, p=0.0003). The best cut-offs of SBP and DBP on HBPM prior to AHD stop to predict the primary outcome was SBP=122.5mmHg and DBP=74.5mmHg. Patients with SBP<122.5 and DBP<74.5mmHg at HBPM prior to AHD stop had 65% chance of normal one-year BP without treatment. Regarding safety, one patient had a severe adverse event (ischemic stroke). Conclusions: Stopping AHT was feasible in patients without cardiovascular damage who had mono or low-dose dual AHT and maintained at one year in 33% of the population. HBPM measurements under treatment predicted well the success of AHD removal and HBPM consequently appears to be an efficient tool to select patients in whom AHD discontinuation may be safely considered.

A Study on Teaching Factors Affecting Learning Outcomes in General Education: University A’s Case-based

The purpose of this study is to provide implications for general education by analyzing the factors influencing learning outcomes in general education courses. To achieve this, a survey was conducted with 2,042 enrolled students at A National University located in Chungnam. For this study, correlation analysis and descriptive statistics, analysis of differences in learning performance according to students’ background characteristics, and multiple regression analysis of factors affecting learning performance in general education courses were conducted. The findings are as follows: Firstly, from the results of analyzing the difference in learning outcomes based on students’ background characteristics, we can see that the first-year students were statistically significantly lower in satisfaction than their second and third-year counterparts. Additionally, students from the College of Arts showed statistically significant differences in satisfaction compared to those from the College of Education, College of Humanities and Social Science, and College of Engineering. Secondly, the analysis of factors influencing learning outcomes showed that in the “Course Syllabus Area”, the clarity of learning objectives, in the “Course Content Area” the organization of course content for achieving learning objectives, and in the “Course Operation Area,” factors such as instructors’ adequate preparation, active communication with instructors during lectures, adherence to the weekly course schedule outlines in the syllabus, and appropriate supplementary sessions significantly predicted learning outcomes in general education courses. Additionally, in the “Student Evaluation Area,” the use of appropriate assessment for teaching methods, as well as providing suitable feedback on assignments and evaluation results, were significant predictors of learning outcomes. Furthermore, we found that the clarity of learning objectives in the “Course Syllabus Area” only moderately predicted the understanding of course content. Additionally, factors in the “Course Operation Area” such as active communication with instructors during lectures, adherence to the weekly course schedule, and appropriate supplementary sessions only moderate predicted knowledge and skill improvement. However, we also found the appropriateness of notifying the students of any changes in course content in the “Course Operation Area” not to be statistically significant in predicting knowledge and skill improvement. Based on the above research findings, it is recommended that instructors emphasize the importance of their role in influencing learning outcomes in general education courses. Additionally, it is crucial that instructors carefully structure course content during the planning phase to align with the achievement of learning objectives. Adequate preparation by instructors, active engagement with students during lectures, and the implementation of strategies to enhance interaction should be prioritized. Furthermore, the effective utilization of appropriate assessment methods for teaching and providing constructive feedback on assignments and evaluations is essential. This study also suggested deriving recommendations for assignment criteria, evaluation methods, and feedback mechanisms.

Prognostic performance of microscopic size measurements in small invasive carcinomas arising in intraductal papillary mucinous neoplasms of the pancreas.

Small invasive carcinomas arising in intraductal papillary mucinous neoplasms (IPMNs) of the pancreas can present as multiple, small foci. In such cases, there is no clear optimal measurement method for determining the invasive size for tumour staging and prognostication. In all, 117 small invasive IPMNs (size of largest invasive component ≤2 cm) from seven institutions (2000-2016) were reviewed, and all individual foci of invasive carcinoma were measured. T stages (AJCC 8th edition) based on the largest single focus size (LS), average size of all foci (AS), and total sum of all foci (TS) were examined in association with clinicopathologic parameters and patient outcomes. The cohort comprised IPMNs with invasive tubular-type (n = 82, 70%) and colloid-type (n = 35, 30%) carcinomas. The mean LS, AS, and TS were 0.86, 0.71, and 1.32 cm, respectively. Based on the LS, AS, and TS, respectively, 48, 65, and 39 cases were classified as pT1a; 22, 18, and 11 cases as pT1b; and 47, 34, and 50 cases as pT1c. Higher pT stages based on all measurements were significantly associated with small vessel, large vessel, and perineural invasion (P < 0.05). LS-, AS-, and TS-based pT stages were not significantly associated with recurrence-free survival (RFS) or overall survival (OS) by univariate or multivariate analyses. However, among tubular-type carcinomas, higher LS-, AS-, and TS-based pT stages trended with lower RFS (based on 1-, 3-, and 5-year survival rates). All microscopic measurement methods were most predictive of RFS and OS using a 1.5-cm cutoff, with LS significantly associated with both RFS and OS by univariate and multivariate analysis. For invasive tubular-type carcinomas arising in IPMN, microscopic size-based AJCC pT stages were not significant predictors of patient outcomes. However, for LS, a size threshold of 1.5 cm was optimal for stratifying both RFS and OS. The AJCC 8th ed. may not be applicable for stratifying small invasive IPMNs with colloid-type histology that generally portend a more favourable prognosis.

A PET-based radiomics nomogram for individualized predictions of seizure outcomes after temporal lobe epilepsy surgery

PurposeTo establish and validate a novel nomogram based on clinical characteristics and [18F]FDG PET radiomics for the prediction of postsurgical seizure freedom in patients with temporal lobe epilepsy (TLE). Patients and Methods234 patients with drug-refractory TLE patients were included with a median follow-up time of 24 months after surgery. The correlation coefficient redundancy analysis and LASSO Cox regression were used to characterize risk factors. The Cox model was conducted to develop a Clinic-PET nomogram to predict the relapse status in the training set (n = 171). The nomogram's performance was estimated through discrimination, calibration, and clinical utility. The prognostic prediction model was validated in the test set (n = 63). ResultsEight radiomics features were selected to assess the radiomics score (radscore) of the operation side (Lat_radscore) and the asymmetric index (AI) of the radiomics score (AI_radscore). AI_radscor, Lat_radscor, secondarily generalized seizures (SGS), and duration between seizure onset and surgery (Durmon) were significant predictors of seizure-free outcomes. The final model had a C-index of 0.68 (95 %CI: 0.59–0.77) for complete freedom from seizures and time-dependent AUROC was 0.65 at 12 months, 0.65 at 36 months, and 0.59 at 60 months in the test set. A web application derived from the primary predictive model was displayed for economic and efficient use. ConclusionsA PET-based radiomics nomogram is clinically promising for predicting seizure outcomes after temporal lobe epilepsy surgery.

Prognostic Utility of Left Atrial Strain From MRI Feature Tracking in Ischemic and Nonischemic Dilated Cardiomyopathy: A Multicenter Study.

BACKGROUND. MRI-based prognostic evaluation in patients with dilated cardiomyopathy (DCM) has historically used markers of late gadolinium enhancement (LGE) and feature tracking (FT)-derived left ventricular global longitudinal strain (LVGLS). Early data indicate that FT-derived left atrial strain (LAS) parameters, including reservoir, conduit, and booster, may also have prognostic roles in such patients. OBJECTIVE. The purpose of our study was to evaluate the prognostic utility of LAS parameters, derived from MRI FT, in patients with ischemic or nonischemic DCM, including in comparison with the traditional parameters of LGE and LVGLS. METHODS. This retrospective study included 811 patients with ischemic or nonischemic DCM (median age, 60 years; 640 men, 171 women) who underwent cardiac MRI at any of five centers. FT-derived LAS parameters and LVGLS were measured using two- and four-chamber cine images. LGE percentage was quantified. Patients were assessed for a composite outcome of all-cause mortality or heart failure hospitalization. Multivariable Cox regression analyses including demographic characteristics, cardiovascular risk factors, medications used, and a wide range of cardiac MRI parameters were performed. Kaplan-Meier analyses with log-rank tests were also performed. RESULTS. A total of 419 patients experienced the composite outcome. Patients who did, versus those who did not, experience the composite outcome had larger LVGLS (-6.7% vs -8.3%, respectively; p < .001) as well as a smaller LAS reservoir (13.3% vs 19.3%, p < .001), LAS conduit (4.7% vs 8.0%, p < .001), and LAS booster (8.1% vs 10.3%, p < .001) but no significant difference in LGE (10.1% vs 11.3%, p = .51). In multivariable Cox regression analyses, significant independent predictors of the composite outcome included LAS reservoir (HR = 0.96, p < .001) and LAS conduit (HR = 0.91, p < .001). LAS booster and LGE were not significant independent predictors in the models. LVGLS was a significant independent predictor only in a model that initially included LAS booster but not the other LAS parameters. In Kaplan-Meier analysis, all three LAS parameters were significantly associated with the composite outcome (p < .001). CONCLUSION. In this multicenter study, LAS reservoir and LAS conduit were significant independent prognostic markers in patients with ischemic or nonischemic DCM, showing greater prognostic utility than the currently applied markers of LVGLS and LGE. CLINICAL IMPACT. FT-derived LAS analysis provides incremental prognostic information in patients with DCM.

Game on for learning: a holistic exploration of Gamification’s impact on student engagement and academic performance in educational environments

PurposeThe research paper examines the complex relationship between gamification, student engagement and academic performance in educational environments. The study employed a structural equation model that highlights important connections among key constructs within the educational setting.Design/methodology/approachThis research aims to explore the connection between gamification, student engagement and academic performance in educational settings. The study employs various statistical techniques such as factor analysis, Kaiser–Meyer–Olkin (KMO), Bartlett’s test, component transformation matrix, correlation and regression analysis, descriptive statistics, ANOVA, coefficients and coefficient correlations, residual statistics and confirmatory factor analysis (CFA) to analyze the data.FindingsIt was found that active participation by the instructor and good time management skills have a positive impact on student engagement levels (β = 0.380, p &lt; 0.001; β = 0.433 and p &lt; 0.001). However, peer interaction does not significantly predict student engagement (β = −0.068 and p = 0.352). Additionally, there is a positive correlation between student engagement and performance (β = 0.280 and p &lt; 0.001).Research limitations/implicationsThe study highlights the importance of innovative design to fully utilize gamification. Future research should consider design, user characteristics and educational context. The findings can guide informed decisions about gamification in education, fostering motivation and learning objectives.Practical implicationsThe study presents a reliable tool for assessing student engagement and performance in educational settings, demonstrating high Cronbach’s alpha and robust reliability. It identifies student engagement and time management as significant predictors of Global Learning Outcome. The findings can inform decisions on implementing gamification in educational settings, promoting intrinsic motivation and aligning with learning objectives.Social implicationsThe research highlights the transformative impact of gamification on educational practices, highlighting its potential to enhance student experiences, motivate, promote diversity and improve long-term academic performance, highlighting the trend of integrating technology into education.Originality/valueIn today’s ever-changing education landscape, it is essential to incorporate innovative techniques to keep students engaged and enthusiastic about learning. Gamification is one such approach that has become increasingly popular. It is a concept that takes inspiration from the immersive world of games to enhance the overall learning experience.

Relationship between lymphocytes and idiopathic macular hole

BackgroundAn idiopathic macular hole (IMH) is a full-thickness anatomic defect extending from the internal limiting membrane to the photoreceptor layer of the macula without any known cause. Recently, clinical laboratory markers of systemic inflammatory status derived from complete blood counts have been evaluated in ocular diseases. This study aimed to explore whether they could predict the development and progression of IMHs.MethodsA retrospective review of 36 patients with IMH and 36 sex-and-age-matched patients with cataracts was conducted. We collected complete blood counts of all participating individuals and calculated systemic immunoinflammatory indicators. The maximum base diameter of the IMH (BD), minimum diameter of the IMH (MIN), height of the IMH (H), area of the intraretinal cyst (IRC), and curve lengths of the detached photoreceptor arms were measured on optical coherence tomography (OCT) images. We used these values to calculate the macular hole index (MHI), tractional hole index (THI), diameter hole index (DHI), hole form factor (HFF), and macular hole closure index (MHCI). We performed a receiver operating characteristic (ROC) curve analysis of 30 patients with IMH who were followed up 1 month after surgery.ResultsLymphocyte counts were significantly higher in the IMH group. No other significant differences were observed between the IMH and control groups. Lymphocyte counts in the IMH group were significantly negatively correlated with MIN and BD and were significantly positively correlated with MHI, THI, and MHCI. However, lymphocyte counts were not significantly correlated with H, IRC, DHI, and HFF. In the ROC analysis, BD, MIN, MHI, THI, and MHCI were significant predictors of anatomical outcomes. According to the cut-off points of the ROC analysis, lymphocyte counts were compared between the above-cut-off and below-cut-off groups. Lymphocyte counts were significantly higher in the MIN ≤ 499.61 μm, MHI ≥ 0.47, THI ≥ 1.2, and MHCI ≥ 0.81 groups. There were no significant differences between the above-cut-off and below-cut-off BD groups.ConclusionsAlthough inflammation may not be an initiating factor, it may be involved in IMH formation. Lymphocytes may play a relatively important role in tissue repair during the developmental and postoperative recovery phases of IMH.

Trainee Perspectives Regarding the Effect of the Dobbs v. Jackson Women's Health Organization Supreme Court Decision on Obstetrics and Gynecology Training.

Objectives: We aimed to describe obstetrics and gynecology (OBGYN) trainees' anticipation of how the Dobbs v. Jackson Women's Health Organization (Dobbs) U.S. Supreme Court decision may affect their training. Methods: A REDCap survey of OBGYN residents and fellows in the United States from September 19, 2022, to December 1, 2022, queried trainees' anticipated achievement of relevant Accreditation Council for Graduate Medical Education (ACGME) training milestones, their concerns about the ability to provide care and concern about legal repercussions during training, and the importance of OBGYN competence in managing certain clinical situations for residency graduates. The primary outcome was an ACGME program trainee feeling uncertain or unable to obtain the highest level queried for a relevant ACGME milestone, including experiencing 20 abortion procedures in residency. Results: We received 469 eligible responses; the primary outcome was endorsed by 157 respondents (33.5%). After correction for confounders, significant predictors of the primary outcome were state environment (aOR = 3.94 for pending abortion restrictions; aOR = 2.71 for current abortion restrictions), trainee type (aOR = 0.21 for fellow vs. resident), and a present or past Ryan Training Program in residency (aOR = 0.55). Although the vast majority of trainees believed managing relevant clinical situations are key to OBGYN competence, 10%-30% of trainees believed they would have to stop providing the standard of care in clinical situations during training. Conclusions: This survey of OBGYN trainees indicates higher uncertainty about achieving ACGME milestones and procedural competency in clinical situations potentially affected by the Dobbs decision in states with legal restrictions on abortion.

Electrophysiological Screening to Assess Foot Drop Syndrome in Severe Acquired Brain Injury in Rehabilitative Settings.

Foot drop syndrome (FDS), characterized by severe weakness and atrophy of the dorsiflexion muscles of the feet, is commonly found in patients with severe acquired brain injury (ABI). If the syndrome is unilateral, the cause is often a peroneal neuropathy (PN), due to compression of the nervous trunk on the neck of the fibula at the knee level; less frequently, the cause is a previous or concomitant lumbar radiculopathy. Bilateral syndromes are caused by polyneuropathies and myopathies. Central causes, due to brain or spinal injury, mimic this syndrome but are usually accompanied by other symptoms, such as spasticity. Critical illness polyneuropathy (CIP) and myopathy (CIM), isolated or in combination (critical illness polyneuromyopathy, CIPNM), have been shown to constitute an important cause of FDS in patients with ABI. Assessing the causes of FDS in the intensive rehabilitation unit (IRU) has several limitations, which include the complexity of the electrophysiological tests, limited availability of neurophysiology consultants, and the severe disturbance in consciousness and lack of cooperation from patients. We sought to propose a simplified electrophysiological screening that identifies FDS causes, particularly PN and CIPNM, to help clinicians to recognize the significant clinical predictors of poor outcomes in severe ABI at admission to IRU. This prospective, single-center study included 20 severe ABI patients with FDS (11 females/9 males, mean age 55.10 + 16.26; CRS-R= 11.90 + 6.32; LCF: 3.30 + 1.30; DRS: 21.45 + 3.33), with prolonged rehabilitation treatment (≥2 months). We applied direct tibialis anterior muscle stimulation (DMS) associated with peroneal nerve motor conduction evaluation, across the fibular head (NCS), to identify CIP and/or CIM and to exclude demyelinating or compressive unilateral PN. At admission to IRU, simplified electrophysiological screening reported four unilateral PN, four CIP and six CIM with a CIPNM overall prevalence estimate of about 50%. After 2 months, the CIPNM group showed significantly poorer outcomes compared to other ABI patients without CIPNM, as demonstrated by the lower probability of achieving endotracheal-tube weaning (20% versus 90%) and lower CRS-R and DRS scores. Due to the subacute rehabilitation setting of our study, it was not possible to evaluate the motor results of recovery of the standing position, functional walking and balance, impaired by the presence of unilateral PN. The implementation of the proposed simplified electrophysiological screening may enable the early identification of unilateral PN or CIPNM in severe ABI patients, thereby contributing to better functional prognosis in rehabilitative settings.

Influential factors for final neurorehabilitation outcome scores in patients with spinal cord injury: A longitudinal cohort study

Study designLongitudinal prospective cohort study. ObjectivesTo assess the coefficient of efficacy and the influence of various demographic and neurological factors on changes in Spinal Cord Independence Measure III (SCIM-III) scores over time in traumatic spinal cord injury (TSCI) patients. SettingPatient recruitment and evaluations were conducted at the Brain and Spinal Injury Research Center in Imam Khomeini Hospital Complex, Tehran, Iran. MethodsThe study was performed over an 8-year period in our outpatient rehabilitation setting. Changes in SCIM-III scores were assessed in 559 TSCI patients (of 1460 enrolled patients) who fit the inclusion criteria. All included patients participated in our outpatient rehabilitation program, which consisted of a multidisciplinary education program combined with occupational therapy, physical therapy, and home nursing as a rehabilitation package for a 6-month period. Patients then received follow-up assessments every 6 months. ResultsPredictors of the SCIM-III score as a rehabilitation outcome tool, and of its change over time, included age (younger patients had better outcomes, p = 0.067), marital status (married patients had better outcomes, p = 0.031), education level (patients with university education had better outcomes, p = 0.003), occupation status (employed patients had better outcomes, p = 0.009), and neurological level of injury (patients with injuries at lower levels had better outcomes, p < 0.001). However, sex and injury severity as per the American Spinal Injury Association Impairment Scale (AIS) had no significant effects on functional outcomes (i.e., SCIM-III score changes over time). ConclusionAge, marital status, education level, employment, and neurological level all affected the final SCIM-III scores of SCI patients. By contrast, sex and AIS grade were not significant predictors of SCIM-III outcomes. Further studies that include additional factors may be useful for future SCIM-III models.

On the Difficulty Predicting Word Recognition Performance After Cochlear Implantation.

Preimplantation word scores cannot reliably predict postimplantation outcomes. To date, there is no model based on preoperative data that can reliably predict the postoperative outcomes of cochlear implantation in the postlingually deafened adult patient. In a group of 228 patients who received a cochlear implant between 2002 and 2021, we tested the predictive power of nine variables (age, etiology, sex, laterality of implantation, preimplantation thresholds and word scores, as well as the design, insertion approach, and angular insertion depth of the electrode array) on postimplantation outcomes. Results of multivariable linear regression analyses were then interpreted in light of data obtained from histopathological analyses of human temporal bones. Age and etiology were the only significant predictors of postimplantation outcomes. In agreement with many investigations, preimplantation word scores failed to significantly predict postimplantation outcomes. Analysis of temporal bone histopathology suggests that neuronal survival must fall below 40% before word scores in quiet begin to drop. Scores fall steeply with further neurodegeneration, such that only 20% survival can support acoustically driven word scores of 50%. Because almost all cochlear implant implantees have at least 20% of their spiral ganglion neurons (SGNs) surviving, it is expected that most cochlear implant users on average should improve to at least 50% word recognition score, as we observed, even if their preimplantation score was near zero as a result of widespread hair cell damage and the fact that ~50% of their SGNs have likely lost their peripheral axons. These "disconnected" SGNs would not contribute to acoustic hearing but likely remain electrically excitable. The relationship between preimplantation word scores and data describing the survival of SGNs in humans can explain why preimplantation word scores obtained in unaided conditions fail to predict postimplantation outcomes.

Rationale and design of a prospective randomized study of the effect of ferric carboxymaltose therapy on quality of life and clinical picture of heart failure with preserved ejection fraction in patients with iron deficiency

Introduction. The prevalence of iron deficiency (ID) among patients with chronic heart failure (CHF) ranges from 50% to 80%. It has been established that ID is a significant predictor of adverse outcomes and mortality in CHF, and is also associated with a decrease in exercise tolerance. The use of oral iron preparations for the purpose of its correction is limited by the high frequency of adverse events and, in some cases, their ineffectiveness in CHF. Ferric carboxymaltose has a high potential in the correction of ID, which has proven itself well in the cohort of patients with CHF, but its effectiveness has not been precisely established in CHF.Aim: To evaluate the effect of ferric carboxymaltose therapy on the quality of life, functional status, and clinical picture of CHF in patients with diagnosed iron deficiency.Material and Methods. It is a prospective randomized cohort study. It is planned to include 70 adult patients with CHF (NYHA II-III) and diagnosed ID: group 1 (n = 35) – group of drug therapy with ferric carboxymaltose, group 2 (n = 35) – without drug therapy. A control group of patients without ID (n = 30) will also be recruited. The prospective part involves the observation of patients with repeated visits after 6, 12 months, during which the indicators of quality of life, functional status, clinical picture of CHF, structural and functional echocardiographic indicators of LV and right heart, as well as the presence of repeated hospitalizations for CHF and death from all causes will be evaluated.

Testicular sperm retrieval for intracytoplasmic sperm injection: when to consider it after unsuccessful intracytoplasmic sperm injection with ejaculated sperm?

The question of whether patients are more likely to succeed with testicular sperm intracytoplasmic sperm injection (T-ICSI) after unsuccessful ICSI with ejaculated sperm (Ej-ICSI) remains unknown. The study aimed to identify potential predictors of successful T-ICSI in men with idiopathic infertility and oligozoospermia (sperm concentration<15 × 106/mL, non-azoospermic) who had previously experienced unsuccessful Ej-ICSI. In total, 154 couples with male partners who had oligozoospermic conditions after two unsuccessful cycles of Ej-ICSI switched to T-ICSI. Before initiating T-ICSI, the sperm DNA fragmentation index (DFI) was assessed in ejaculated specimens. Participants were divided into two groups: group A (live birth (+), n=60) and group B (live birth (-), n=94). Fertilization, clinical pregnancy, live births, and miscarriages had rates of 72.7%, 44.2%, 39%, and 5.2%, respectively. The total motile sperm (TMS) count in group A was significantly higher (3.8±1.5 million) than in group B (3±1.6 million; p=0.002). DFI was significantly higher in group A (24.2±12.3) than in group B (18.1±11; p=0.001). Hormone levels and oocyte counts showed no statistically significant differences between groups. Multivariate regression analysis revealed that TMS (odds ratio [OR]: 1.46; 95% CI, 1.14-1.87, p=0.003) and DFI (OR: 1.04; 95% CI, 1.01-1.08, p=0.009) were found to be significant predictors of live birth outcomes. At a cutoff point of 2.55 (area under the curve [AUC]=0.65), the optimal sensitivity and specificity values for TMS were 78% and 48%, respectively. At a cutoff point of 25.8 (AUC=0.65), DFI had a maximum sensitivity of 51.7% and a specificity of 78.7%. TMS and DFI were found to be significant predictors of live birth outcomes in couples with oligozoospermic male partners undergoing T-ICSI. These findings may help clinicians tailor treatment strategies for this specific patient population.

Surgeon Performance as a Predictor for Patient-Reported Outcomes After Arthroscopic Partial Meniscectomy.

Surgeon performance has been investigated as a factor affecting patient outcomes after orthopaedic procedures to improve transparency between patients and providers. The purpose of this study was to identify whether surgeon performance influenced patient-reported outcomes (PROMs) 1 year after arthroscopic partial meniscectomy (APM). It was hypothesized that there would be no significant difference in PROMs between patients who underwent APM from various surgeons. Case-control study; Level of evidence, 3. A prospective cohort of 794 patients who underwent APM between 2018 and 2019 were included in the analysis. A total of 34 surgeons from a large multicenter health care center were included. Three multivariable models were built to determine whether the surgeon-among demographic and meniscal pathology factors-was a significant variable for predicting the Knee injury and Osteoarthritis Outcome Score (KOOS)-Pain subscale, the Patient Acceptable Symptom State (PASS), and a 10-point improvement in the KOOS-Pain at 1 year after APM. Likelihood ratio (LR) tests were used to determine the significance of the surgeon variable in the models. The 794 patients were identified from the multicenter hospital system. The baseline KOOS-Pain score was a significant predictor of outcome in the 1-year KOOS-Pain model (odds ratio [OR], 2.1 [95% CI, 1.77-2.48]; P < .001), the KOOS-Pain 10-point improvement model (OR, 0.57 [95% CI, 0.44-0.73), and the 1-year PASS model (OR, 1.42 [95% CI, 1.15-1.76]; P = .002) among articular cartilage pathology (bipolar medial cartilage) and patient-factor variables, including body mass index, Veterans RAND 12-Item Health Survey-Mental Component Score, and Area Deprivation Index. The individual surgeon significantly impacted outcomes in the 1-year KOOS-Pain mixed model in the LR test (P = .004). Patient factors and characteristics are better predictors for patient outcomes 1 year after APM than surgeon characteristics, specifically baseline KOOS-Pain, although an individual surgeon influenced the 1-Year KOOS-Pain mixed model in the LR test. This finding has key clinical implications; surgeons who wish to improve patient outcomes after APM should focus on improving patient selection rather than improving the surgical technique. Future research is needed to determine whether surgeon variability has an impact on longer-term patient outcomes.

Pregnancy in women with congenital heart disease: New insights into neonatal risk prediction

BackgroundAdvances in managing adult congenital heart disease (ACHD) have led to an increased number of women with CHD reaching childbearing age. This demographic shift underscores the need for improved understanding and prediction of complications during pregnancy in this specific ACHD population. Despite progress in maternal cardiac risk assessment, the prediction of neonatal outcomes for ACHD pregnancies remains underdeveloped. Therefore, the aims of this study are (1) to assess neonatal outcomes in a CHD women population, (2) to identify their predictive factors and (3) to propose a new risk score for predicting neonatal complications. MethodsThis registry study included all women born between 1975 and 1996 diagnosed with ACHD who underwent at least one cardiology consultation for ACHD in Cliniques Universitaires Saint-Luc. A multivariate analysis was performed to identify predictors of neonatal complications and these were incorporated into a new risk index. Its validity was assessed using bootstrap method. This score was then compared with scores adapted from the ZAHARA and CARPREG studies for offspring events prediction. ResultsAnalysis of 491 pregnancies revealed 31.4% of neonatal complications. Four significant predictors of adverse neonatal outcomes were identified: cardiac treatment during pregnancy (OR 14.8, 95%CI [3.4-66]), hypertensive disorders of pregnancy (OR 11.4, 95%CI [3.4-39.0]), smoking during pregnancy (OR 10.6, 95% CI [2.8-40.6]), and pre-pregnancy BMI < 18.5 kg/m² (OR 6.5, 95% CI [2.5-16.5]). The risk model demonstrated an AUC of 0.70 (95% CI [0.65-0.75), which remained stable after bootstrap validation. This model significantly outperformed the scores adapted from ZAHARA and CARPREG data. Based on the regression coefficients, a risk score was subsequently developed comprising 5 risk categories. ConclusionsOne third of ACHD pregnancies are complicated by poor neonatal outcome. These complications are determined by 4 independent factors relating to the cardiac and non-cardiac status of the patients, which have been incorporated into a risk score. Our study is one of the first to propose a predictive risk score of neonatal outcomes in ACHD pregancies, and paves the way for other validation and confirmation studies.

Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling

IntroductionLiving in poverty, especially in low-income countries, are more affected by cardiovascular disease. Unlike the developed countries, it remains a significant cause of preventable heart disease in the Sub-Saharan region, including Ethiopia. According to the Ethiopian Ministry of Health statement, around 40,000 cardiac patients have been waiting for surgery in Ethiopia since September 2020. There is insufficient information about long-term cardiac patients’ post-survival after cardiac surgery in Ethiopia. Therefore, the main objective of the current study was to determine the long-term post-cardiac surgery patients’ survival status in Ethiopia.MethodsAll patients attended from 2012 to 2023 throughout the country were included in the current study. The total number of participants was 1520 heart disease patients. The data collection procedure was conducted from February 2022- January 2023. Machine learning algorithms were applied. Gompertz regression was used also for the multivariable analysis report.ResultsFrom possible machine learning models, random survival forest were preferred. It emphasizes, the most important variable for clinical prediction was SPO2, Age, time to surgery waiting time, and creatinine value and it accounts, 42.55%, 25.17%,11.82%, and 12.19% respectively. From the Gompertz regression, lower saturated oxygen, higher age, lower ejection fraction, short period of cardiac center stays after surgery, prolonged waiting time to surgery, and creating value were statistically significant predictors of death outcome for post-cardiac surgery patients’ survival in Ethiopia.ConclusionSome of the risk factors for the death of post-cardiac surgery patients are identified in the current investigation. Particular attention should be given to patients with prolonged waiting times and aged patients. Since there were only two fully active cardiac centers in Ethiopia it is far from an adequate number of centers for more than 120 million population, therefore, the study highly recommended to increase the number of cardiac centers that serve as cardiac surgery in Ethiopia.

When a Good Flap Turns Bad: A Temporal Predictive Model for Free Flap Complications.

Microsurgical cases are complex plastic surgery procedures with a significant risk of acute postoperative complications. In this study, we use a large-scale database to investigate the temporal progression of complications after microsurgical procedures and the risk imparted by acute postoperative complications on subsequent reconstructive outcomes. Microsurgery cases were extracted from the National Surgical Quality Improvement Program database by Current Procedural Terminology codes. Postoperative complications were collected for 30 days after surgery and stratified into four temporal periods (postoperative days [PODs] 0-6, 7-13, 14-20, 21-30). Postoperative complication occurrences were incorporated into a weighted multivariate logistic regression model to identify significant predictors of adverse outcomes (p < 0.05). Separately, a regression model was calculated for the time between index operation and reoperation and additional complications. The final cohort comprised 19,517 patients, 6,140 (31.5%) of which experienced at least one complication in the first 30 days after surgery. The occurrence of prior complications in the postoperative period was a significant predictor of future adverse outcomes following the initial week after surgery (p < 0.001). Upon predictive analysis, overall model performance was highest in PODs 7 to 13 (71.1% accuracy and the area under a receiver operating characteristic curve 0.684); 2,578 (13.2%) patients underwent at least one reoperation within the first 2 weeks after surgery. The indication for reoperation (p < 0.001) and number of days since surgery (p = 0.0038) were significant predictors of future complications after reoperation. Prior occurrence of complications in an earlier postoperative week, as well as timing and nature of reoperation, were shown to be significant predictors of future complications.

Developing oral presentation-related self-assessment among prospective teachers of German as a foreign language: Analysis of self-assessment comments

Learner self-assessment is a significant predictor of learning outcomes (Hattie, 2018). However, it is insufficiently implemented in Czech secondaryschools (Czech School Inspectorate, 2021). One of the reasons for this may be the lack of teachers’ experience in developing their own self-assessment skills. Thispaper presents a study framed by a 12-week intervention programme to develop self-assessment skills focused on presenting in German among prospectiveteachers of German as a foreign language (n=15). The study examined the content (characteristics) of the participants’ self-assessment comments collected beforeand after the intervention program. A total of 25 self-assessment comments were collected using the “Lautes Erinnern” method (13 before the intervention, 12 afterthe intervention) and analysed using the inductive category formation of the qualitative content analysis (Mayring, 2014). The analysis revealed three maincharacteristics of the development of self-assessment: increasing evidence in the self-assessment comments, a shift in focus from the predominance of non-languagespecific to language-specific assessment, and a shift in focus from mostly negative to also positive aspects of performance. The study concludes with a discussion of the implications for better teacher education that develops their self-assessment skills appropriately.

Evaluating Catheter Ablation Versus Conventional Management for Ventricular Arrhythmias in Arrhythmogenic Right Ventricular Cardiomyopathy: A Five-Year Retrospective Cohort Study.

Background Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a challenging genetic disorder marked by ventricular arrhythmias and sudden cardiac death, particularly in athletes and young adults. Despite its clinical significance, the relative effectiveness and safety of catheter ablation versus conventional management in ARVC are not fully delineated. Objective This study evaluates the efficacy and safety of catheter ablation compared to conventional management in reducing ventricular arrhythmias and improving patient outcomes over five years in ARVC patients. Methods In a retrospective cohort design at Lady Reading Hospital, Peshawar, we analyzed 120 ARVC patients from January 2018 to December 2023. Patients were divided into two groups: those undergoing catheter ablation and those receiving conventional management. Primary outcomes assessed were recurrence of ventricular arrhythmias, procedural complications, hospitalization duration, and mortality rates. Logistic regression was adjusted for demographics and clinical variables. Results Catheter ablation significantly lowered the recurrence of ventricular arrhythmias (20% vs. 55%, p<0.01) and reduced hospital stay duration (4 ± 2 days vs. 7 ± 3 days, p<0.05). A trend toward reduced five-year mortality was observed in the catheter ablation group (5% vs. 15%, p=0.07). Age, New York Heart Association class, and exercise capacity emerged as significant predictors of outcomes. Conclusions Catheter ablation outperforms conventional management in reducing the recurrence of ventricular arrhythmias and hospitalization in ARVC patients, with a promising trend toward enhanced survival. These findings advocate for personalized management strategies in ARVC, highlighting the necessity for further research to establish the long-term benefits of catheter ablation.

Clinical and prognostic significance of baseline microRNA 223 in acute ischemic stroke

BackgroundAcute ischemic stroke (AIS) is the second leading cause of disability and death worldwide. Micro-RNA (miRNA)-223 was first identified as a regulator of hematopoietic lineage differentiation. Later, its diverse roles were discovered in a wide spectrum of pathological conditions. The present study aimed to assess the clinical and prognostic significance of miR-223 in patients with acute ischemic stroke (AIS). The study included 93 patients with AIS diagnosed on the basis of clinical and radiological findings. In addition, there were 50 healthy subjects who served as controls. Patients were classified into two categories: Those with favorable functional outcome (modified Rankin Scale (mRS): 0–2) and others with unfavorable functional outcome (mRS: 3–6) at 6 months post-stroke.ResultsThe present prospective longitudinal study included 93 patients with AIS. They included 60 males (64.5%) and 33 females (35.5%) with an age of 64.5 ± 12.4 years. At the end of 6-month follow up, 44 patients (47.3%) had favorable outcome while the remainder 49 patients (52.7%) had unfavorable outcome. Patients with favorable outcome had significantly lower baseline miR-223 levels [median (IQR): 4.4 (2.0–6.3) versus 8.4 (4.5–14.9), p < 0.001], lower HbA1c levels (5.6 ± 1.0 versus 6.2 ± 1.2, p = 0.006) and lower C-reactive protein (CRP) levels [median (IQR): 8.9 (5.1–26.7) versus 15.2 (6.2–39.3) mg/dL, p = 0.02]. Multivariate binary logistic regression analysis recognized high baseline miR-223 [OR (95% CI) 1.13 (1.06–1.24), p = 0.011], infarct size [OR (95% CI) 2.58 (1.66–4.77), p = 0.001] and National Institutes of Health Stroke Scale (NIHSS) [OR (95% CI) 2.11 (1.74–3.09), p = 0.004] as significant predictors of unfavorable outcome in the studied patients.ConclusionsElevated baseline miR-223 levels are associated with high NIHSS and larger infarct size at baseline and can effectively predict patients’ outcome at 6-months post-stroke.