Significant Predictors Of Outcome Research Articles

Predictive value of hematologic parameters and HALP score for testicular viability in adults with testicular torsion: A multicentric study.

To evaluate the predictivity of haematologic parameters and HALP score on testicular viability in adults with testicular torsion. We retrospectively analyzed the clinical data of 139 men ≥18 years of age who underwent testicular detorsion with fixation (n = 90) or orchiectomy (n = 49) due to testicular torsion in five different tertiary centers between May 2019 and August 2023. Demographic, pre-, peri- and postoperative data were analyzed. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score in the orchiectomy group was significantly lower compared to the detorsion group (adjusted p = 0.032). Platelet to lymphocyte ratio and duration of torsion were significantly higher in the orchiectomy group (adjusted p = 0.048, adjusted p = 0.000, respectively). Neutrophil-lymphocyte ratio did not reach statistical significance between the groups (adjusted p = 0.074) Furthermore, the orchiectomy group had statistically significantly more heterogeneous echotexture on scrotal ultrasonography (adjusted p = 0.000). On binary logistic regression analysis; platelet-lymphocyte ratio and HALP score were not found as significant predictors for surgical outcome (p = 0.296, p = 0.078, respectively). Multivariate logistic regression analysis revealed that only heterogeneous echotexture on scrotal Doppler ultrasonography and duration of torsion were independent risk factors for testicular necrosis development (p = 0.004, p < 0.001, respectively). This study demonstrates that heterogeneous echotexture on ultrasound and longer duration of torsion seem to be independent risk factors for testicular necrosis after testicular torsion in adults. However, neither haematologic parameters nor HALP score provided valuable information for testicular viability before scrotal exploration in our series.

COVID-19 Anxiety and Mental Health in Healthcare Workers: Examining the Role of Compassion Fatigue During the Last Wave of the Pandemic

Objective Pandemics have been shown to affect both physical and mental health, with healthcare workers (HCWs) bearing a particularly heavy burden. During the COVID-19 pandemic, HCWs faced a high volume of cases, extended work hours, and heightened pandemic-related stressors, which placed them at increased risk for mental health issues. This study examines the effects of COVID-19-related anxiety on HCWs’ mental health, specifically exploring the roles of compassion fatigue (comprising burnout and secondary traumatic stress) as potential mediators in this relationship. Method A sample of 104 HCWs completed an online survey measuring their demographic characteristics (such as gender, age, length of service, marital status, and education), levels of COVID-19 anxiety, compassion fatigue, and mental health outcomes. Path analysis and bootstrapping procedures were used to analyze the data. Results Results indicated that COVID-19 anxiety was positively associated with compassion fatigue, defined as the emotional strain of caring for others, which includes both burnout (emotional exhaustion from work) and secondary traumatic stress (stress from exposure to others’ trauma). Compassion fatigue, particularly secondary traumatic stress, mediated the relationship between COVID-19 anxiety and various mental health indicators, including symptoms of anxiety, depression, and psychological distress. Both COVID-19 anxiety and compassion fatigue were significant predictors of these mental health outcomes. Conclusions These findings suggest that COVID-19 anxiety alone does not fully explain mental health outcomes among HCWs, as compassion fatigue, specifically secondary traumatic stress, plays a substantial role. Recognizing the complex interplay of pandemic-related stressors and compassion fatigue may guide interventions to better support HCWs’ mental health.

Effect of hypofibrinolysis on clinical outcomes of patients with septic disseminated intravascular coagulation

BackgroundThis study investigated the utility of thromboelastometry (ROTEM) in assessing hypofibrinolysis among septic patients, specifically the association of hypofibrinolysis, as determined by ROTEM, with septic disseminated intravascular coagulation (DIC), organ dysfunction, and clinical outcomes. MethodsThis single-center, retrospective analysis included adult septic patients admitted to Saga University Hospital from 2013 to 2017, with available ROTEM data. Hypofibrinolysis was assessed using the lysis index at 60 min (LI60) in extrinsic thromboelastometry (EXTEM). Based on their LI60 values, patients were classified into three groups: Hyper (LI60 ≤ 85), Normal (LI60 86–96), and Hypo (LI60 ≥ 97). ResultsAmong the 63 cases analyzed, the Hypo group showed significantly higher APACHEII and SOFA scores than the Normal group, indicating greater disease severity. Similarly, DIC and sepsis-induced coagulopathy (SIC) scores were notably higher in the Hypo group. The diagnostic performance of LI60 for ISTH-overt DIC showed an area under the curve (AUC) of 0.954, with an optimal cutoff value of 97 %, achieving 100 % sensitivity and 83.3 % specificity. The odds ratio for ISTH-overt DIC was 2.894, indicating a strong association between elevated LI60 and occurrence of DIC. Hypofibrinolysis predicted 28-day mortality and high SOFA scores (≥ 10) with high specificity and negative predictive value (NPV). A Kaplan-Meier curve revealed that the Hypo Group showed significantly worse clinical outcomes than the Normal and Hyper groups. ConclusionFor septic patients, fibrinolysis suppression presenting as “hypofibrinolysis” (elevated LI60) is associated with poor prognosis and risk of higher organ dysfunction. Moreover, it is a significant predictor of adverse clinical outcomes in sepsis.

The impact of donor-recipient weight ratios on outcomes after pediatric deceased donor whole-liver transplantation

BackgroundIt has been shown that recipients receiving grafts from both undersized and oversized donors have worse clinical outcomes. However, donor-recipient size (DR) mismatch is an understudied metric in pediatric whole-liver deceased donor liver transplantation (DDLT). Here, we analyzed the utility of both DR weight ratio (WR) and body surface area ratio (BSAR) in predicting outcomes among all pediatric whole-liver DDLT recipients. We also performed subgroup analyses for patients with biliary atresia (BA) as well as for other diagnoses with ascites to evaluate these ratios’ utility among patients with increased abdominal domain. MethodsWe evaluated all pediatric patients undergoing primary whole-liver DDLT within the UNOS database from 3/1/2002–1/23/2023. We identified 5286 patients <18 years old and divided them into five groups based on increasing DR weight ratios (WRs) and body surface area ratios (BSARs) (<10th percentile, 10th–20th percentile, 20th–80th percentile [reference], 80th–90th percentile, and >90th percentile). Subgroup analyses were performed for patients with BA and other diagnoses with ascites. Chi-square tests were also used to compare patients with and without BA. A Cox proportional hazards model adjusted for both donor and recipient factors was used to identify associations between WR and BSAR percentiles and graft survival, patient survival, and length of stay (LOS). Kaplan–Meier curves and log-rank test were used to compare each of the time-to-event outcomes among the percentiles. ResultsIn multivariable analysis, both WR and BSAR impacted clinical outcomes. However, WR remains to be explored in pediatric transplant and is easier to calculate. We therefore focused our analysis on WR.The <10th WR percentile (WR ≤ 0.70) and >90th WR percentile (WR > 2.0) were associated with increased hazard of graft failure and death. The <10th percentile WR hazard ratio (HR) for graft survival was 1.45 (95 % confidence interval [CI] 1.12, 1.87, p = 0.004). The >90th percentile WR for graft survival was 1.61 (95 % CI 1.22, 2.13, p = 0.001). Bottom 10th WR percentile for patient survival was 1.46 (95 % CI 1.14, 1.88, p = 0.01), while the >90th WR for patient survival was 1.54 (95 % CI 1.28, 2.23, p < 0.001). Only the >90th percentile WR (HR 0.86, 95 % CI 0.77, 0.96, p = 0.007) was associated with increased LOS.The relationship between WR and outcomes did not hold in patients with BA or in other diagnoses with ascites (p > 0.05). ConclusionsDR WR is a significant predictor of adverse outcomes in pediatric whole-liver DDLT recipients, and WR is a superior metric to BSAR. The utility of size-matching metrics is decreased in patients with BA or significant ascites. Transplant surgeons should exercise caution if they encounter a WR ≤ 0.70 or >2.0 in pediatric whole-liver DDLT.

Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models

BackgroundSuicidal behaviors, which may lead to death (suicide) or survival (suicide attempt), are influenced by various factors. Identifying the specific risk factors for suicidal behavior mortality is critical for improving prevention strategies and clinical interventions. Predicting the outcomes of suicidal behaviors can help identify individuals at higher risk of death, enabling timely and targeted interventions. This study aimed to determine the critical risk factors associated with suicidal behavior mortality and identify an effective classification model for predicting suicidal behavior outcomes.Materials and methodsThis study utilized data recorded in the suicidal behavior registry system of hospitals in Ilam Province. In the first phase, duplicate records were removed, and the data was numerically encoded via Python version 3.11; then, the data was analyzed using chi-square and Fisher’s exact tests in SPSS version 22 software to identify the factors influencing suicidal behavior mortality. In the second phase, missing data were removed, and the dataset was standardized. Five binary classification algorithms were utilized, including Random Forest, Logistic Regression, and Decision Trees, with hyperparameters optimized using the area under the receiver operating characteristic curve (AUC) and F1 score metrics. These models were compared based on accuracy, recall, precision, F1 score, and AUC.ResultsAmong 3833 cases of suicidal behavior in various hospitals in Ilam Province, the results indicated that the method of suicidal behavior (P < 0.001), reason for suicidal behavior (P < 0.001), age group (P < 0.001), education level (P < 0.001), marital status (P = 0.004), and employment status (P = 0.042) were significantly associated with suicide. Variables such as the season of suicidal behavior, gender, father’s education, and mother’s education were not significantly related to suicidal behavior mortality. Furthermore, the random forest model demonstrated the highest area under the ROC curve (0.79) and the highest classification accuracy and F1 score on both the training data (0.85 and 0.2, respectively) and test data (0.86 and 0.31, respectively) for predicting suicidal behaviors outcomes among the models tested.ConclusionThis study identified key factors such as older age, lower education, divorce or widowhood, employment, physical methods, and socioeconomic issues as significant predictors of suicidal behavior outcomes. A combination of statistical models for feature selection and machine learning algorithms for prediction was used, with Random Forest showing the best performance. This approach highlights the potential of integrating statistical methods with machine learning to improve suicide risk prediction and intervention strategies.

Cilostazol Alleviates Delayed Cerebral Ischemia After Subarachnoid Hemorrhage by Attenuating Microcirculatory Dysfunction.

Cilostazol, a phosphodiesterase 3 (PDE3) inhibitor that exerts antiplatelet effects, has therapeutic potential for delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). However, its mechanism of action remains unclear. We hypothesized that cilostazol alleviates DCI by improving cerebral microcirculatory dysfunction, which is a component of early brain injury. To test this hypothesis, we analyzed the intracerebral circulation time (iCCT) in 256 patients with aSAH from two randomized controlled trials (74 received cilostazol, 54 received pitavastatin, and 128 were controls). A minority of patients (n = 72, 28%) developed severe angiographic vasospasm (aVS) and DCI (n = 42, 16%) and had poor outcomes (n = 35, 14%). We measured iCCT as the time to peak in the ultraearly phase (baseline) and the subacute phase or at DCI onset (follow-up). The cilostazol group had shorter follow-up iCCT and larger iCCT differences than the other groups, indicating improved microcirculatory function, particularly in patients with DCI and poor outcomes. Multivariate analysis revealed that cilostazol treatment is a significant predictor of favorable outcomes, whereas DCI occurrence, a decrease in iCCT differences, and high clinical severity (Hunt & Hess grades 3-4) were associated with poor outcomes. Diminished microcirculatory dysfunction may alleviate DCI and improve outcomes among patients with aSAH following cilostazol treatment. Further research is warranted to confirm these findings and explore the dose-dependent effects of cilostazol on the microcirculatory function.

Prediction of Clinical Response to Dupilumab for CRSwNP Based on the Amsterdam Classification of Completeness of Endoscopic Sinus Surgery (ACCESS) Score.

Although the effectiveness of molecular antibodies has been established, evidence is still lacking on objective predictors of response. The aim of this study was to assess whether the extent of previous endoscopic sinus surgeries, assessed by means of the Amsterdam Classification of Completeness of Endoscopic Sinus Surgery (ACCESS) score, may influence clinical outcomes in refractory CRSwNP patients treated with dupilumab. A consecutive sample of patients treated with dupilumab for previously operated recalcitrant CRSwNP were enrolled in the study. Every patient was required to undergo a CT scan at baseline (T0), at 3 (T1), and 12 (T2) months after treatment start. ACCESS score was calculated at baseline, whilst at every timepoint patients underwent assessment of Nasal-Polyp-Score (NPS), Lund-Kennedy-Score (LKS), and had to fill in the 22-item Sinonasal-Outcome-Test (SNOT-22) and Visual-Analog-Scales (VAS) for sinonasal symptoms. Favorable outcome was considered based on EUFOREA guidelines, namely improving at least 3 of the followings: (i) NPS; (ii) SNOT-22; (iii) VAS-olfaction; and (iv) need for systemic corticosteroids. Overall favorable outcome was achieved in 69.1% (n = 38/55) of cases at T1, while in 89.1% (n = 49/55) at T2. There were no differences in baseline characteristics between responders and non-responders at both timepoints. At T1, out of all the included variables, no statistically significant predictor of favorable outcome was observed. Conversely, at T2, ACCESS score was the only confirmed independent predictive factor of response to dupilumab treatment (OR = 0.81 [95% CI = 0.67-0.92], P = .010). Our findings suggest that the extent of previous endoscopic sinus surgeries may have a role in influencing clinical outcomes in patients with refractory CRSwNP undergoing treatment with dupilumab.

Long-term outcomes following posterior fossa decompression in pediatric patients with Chiari malformation type 1, a population-based cohort study

ObjectivePosterior fossa decompression for Chiari malformation type I (Chiari 1) is effective and associated with a low risk of complication. However, up to 20% of patients may experience continued deficits or recurring symptoms after surgical intervention. For pediatric patients, there are no established tools to predict outcomes, and the risk factors for unfavorable postoperative outcomes are poorly understood. Hence, our aim was to investigate baseline data and early postoperative predictors of poor outcomes as determined by the Chicago Chiari outcome scale (CCOS).MethodsAll pediatric patients (< 18 years) receiving a posterior fossa decompression for Chiari 1 between the years of 2005 and 2020 at the study center were eligible for inclusion. Patients with congenital anomalies were excluded.ResultsSeventy-one pediatric patients with a median age of 9 years were included. Most patients (58%) were females. Chiari 1 was associated with syringomyelia (51%), scoliosis (37%), and hydrocephalus (7%). Perioperative complications occurred in 13 patients (18%) of which two required additional procedures under general anesthesia. On multivariable proportional odds logistic regression, motor deficits (OR: 0.09; CI95%: [0.01–0.62]; p = 0.015), and surgical complications (OR: 0.16; CI95%: [0.41–0.66]; p = 0.011) were significant predictors of worse outcomes. The presence of syringomyelia was identified as a predictor of better outcomes (OR: 4.42 CI95% [1.02–19.35]; p = 0.048). A persistent hydrocephalus during the early postoperative period after posterior fossa decompression was a strong predictor of worse long-term CCOS (OR: 0.026; CI95%: [0.002–0.328]; p = 0.005).ConclusionResults from this study indicate that the existence of motor deficits and syringomyelia prior to surgery, and surgical complications and persistent hydrocephalus despite posterior fossa decompression, were useful predictors of long-term outcome.

Outcomes of Conservative Treatments Evaluations for Lumbar Radiculopathy

Background: Lumbar Radiculopathy (LR) is a condition characterized by motor, reflex and sensory changes, often causing significant pain and disability. Conservative treatments are commonly recommended as initial management options. This study aims to evaluate the outcomes of various conservative treatments for LR. Materials and methods: This prospective cohort study involved 100 patients diagnosed with LR who underwent conservative treatments between January 2023 and December 2023 at our Physical Medicine Department, Institute of Applied Health Sciences (IAHS). Treatments included physical therapy, NSAIDs, epidural steroid injections and activity modification. Baseline data, including demographic information, pain intensity (VAS) functional status (ODI) and quality of life (SF-36), were collected. Follow-up assessments were conducted at 6 weeks, 3 months and 6 months. Primary outcomes were changes in VAS, ODI and SF-36 scores. Secondary outcomes included patient satisfaction and the need for additional interventions. Data were analyzed using descriptive statistics, paired t-tests and ANOVA. Results: The mean age of participants was 45.3 years, with a slight male predominance (56%). At baseline, mean VAS was 7.8, ODI was 45.6 and SF-36 was 62.5. Significant reductions in VAS (2.6), ODI (18.7), and improvements in SF-36 physical (80.3) and mental (81.7) scores were observed at 6 months (p&lt;0.05). Patient satisfaction at 6 months was highest for epidural injections (90%), followed by NSAIDs (85%), physical therapy (80%) and activity modification (70%). The need for additional interventions decreased to 8%. The incidence of adverse events was low, with physical therapy showing the lowest rates. Initial ODI score was a significant predictor of positive outcomes (p=0.03). Conclusion: Conservative treatments for LR are effective in reducing pain and disability and improving quality of life. All treatment modalities showed comparable efficacy, with low adverse event rates, supporting their use as first-line treatments. Initial disability levels should be considered in treatment planning to optimize outcomes. Further research is needed to refine predictive models and enhance individualized treatment strategies. IAHS Medical Journal Vol 7(1), June 2024; 80-85

Pulpitis tendency in teeth with vital pulp restored with composite resins: a cross-sectional retrospective study

Background: This study evaluates pulpitis tendency in vital teeth restored with composite resin after at least one year, focusing on the effect of cavity depth and the use of a base material on pulp status. Methods: A retrospective analysis was conducted on 212 patients with one tooth restored by dental senior students. At the follow-up, periapical and bitewing radiographs, cold tests, percussion, and palpation were performed. Cavity depth was measured from bitewing radiographs, and the periapical index (PAI) was recorded. The restored teeth were compared with contralateral sound teeth to assess the impact of the resin on pulp tissue. Results: Composite resin restorations significantly affected pulp status compared to intact teeth (p=0.002). Five out of 212 teeth became necrotic, and four developed symptomatic irreversible pulpitis (SIP). Four necrotic cases occurred in cavities deeper than 3.60 mm, and all SIP cases were associated with cavities deeper than 3.10 mm. Cavity depth was a significant predictor of adverse pulpal outcomes. However, using calcium hydroxide as a base did not significantly affect pulp health. Conclusions: The study concludes that composite resin restorations, mainly in deep cavities, can negatively impact pulp vitality. Cavity depth is a key factor in the risk of pulp necrosis and SIP, while calcium hydroxide base did not reduce pulpitis incidence. Larger studies with longer follow-up periods are recommended to confirm these findings and explore potential protective factors.

Abstract 4138427: Frailty Measured by The Risk Analysis Index as a Predictor of In-hospital Outcomes After PCI: A Retrospective Nationwide Analysis of 449,857 Patients

Background: Frailty emerges as an independent predictor of adverse outcomes post-cardiac procedures including percutaneous coronary intervention (PCI). Various indices have been developed to assess frailty, but no gold standard exists. The Risk Analysis Index (RAI) is a promising frailty index that enables better preoperative evaluation for personalized care. Objective: To assess RAI as a preoperative assessment tool for predicting post-PCI in-hospital outcomes. Methods: In this retrospective cohort analysis, The National Inpatient Sample was queried from 2016 to 2020 for patients who underwent PCI. Our cohort was stratified depending on RAI score into Robust, Prefrail, Frail, and Very Frail ( Figure 1.A ). Primary outcomes were non-home discharge (NHD), mortality, and extended length of stay (defined as length of stay exceeding 75% of the cohort) (eLOS). The statistical significance of difference in the primary outcomes was assessed amongst the four frailty groups using The Chi-square test ( x 2 ). In addition, RAI was tested for its ability to predict the primary outcomes using the area under the curve (AUC). Results: The study sample included 449,857 unweighted admissions, of which 67.09% were males, the median age was 50 (IQR: 46-54), 22.6% were Robust, 54.9% were Prefrail, 19% were Frail, and 3.5% were Very Frail ( Figure 1.A ). Increasing RAI frailty scores (robust versus very frail) correlated with significantly higher NHD (7.64% vs. 61.54%; p&lt;0.0001 ), eLOS (11.42% vs. 54.33%; p&lt;0.0001 ), and mortality (1.25% vs. 7.06%; p&lt;0.0001 ) ( Figure 1.B ). RAI effectively predicted NHD (C-statistic 0.73; 95% CI 0.72-0.73), eLOS (C-statistic 0.68; 95% CI 0.67-0.68), and mortality (C-statistic 0.66; 95% CI 0.65-0.66) ( Figure 1.C ). Conclusion: Frailty, measured by RAI, is a significant predictor of post-PCI in-hospital outcomes, including eLOS, NHD, and mortality. RAI facilitates better patient stratification and personalized care strategies in clinical practice.

Abstract 4121589: Sex differences in Social Determinants of Health and Adverse Outcomes in Atrial Fibrillation: A UK Biobank Study

Background: Beyond the risk of thromboembolic stroke, people with atrial fibrillation (AF) are substantially burdened with a higher incidence of cardiovascular mortality, even among patients treated with anticoagulants. The reasons behind these outcomes are only partially understood. Social determinants of health (SDOH), strong independent predictors of major adverse cardiovascular events (MACE) in several cardiac diseases, may play a role; however, their impact on AF prognosis and the differences in SDOH by sex have been insufficiently explored. Objective: We investigated the sex differences in the association between SDOH and MACE in patients with AF. Methods: Data from the UK Biobank included participants enrolled from 2006 to 2010. An incident AF patient cohort, free of stroke and MI was created. Seventeen SDOH derived from three domains:: socio-economic status, psychosocial factors, and neighborhood/living environment were identified Cox proportional hazards models were used to evaluate the associations of individual SDOH components with the risk of MACE stratified by sex. Covariates including all variables of the CHA 2 DS 2 -VASc Score (Congestive heart failure, Hypertension, Age, Diabetes, prior stroke or transient ischemic attack, Vascular disease and Sex), current use of antiplatelet therapy or anticoagulation, smoking and body mass index. The primary outcome was a composite of MACE (including stroke, transient ischemic attack and arterial thromboembolic event, MI and cardiovascular mortality) and all-cause mortality. Results: A total of 23,113 participants with AF (mean age, 62.44 ± 5.88 years; female sex 39.7%) were included. The composite outcome occurred in 5,151 (22%) of participants over 10-year follow up. In the multivariate adjusted model, several SDOH were independently associated with an increased risk of adverse outcomes. Males showed a broader range of SDOH that were significantly associated with outcomes, including unfavourable economic factors and low social support. Despite females had fewer significant SDOH, education-related factors and local crime rates were significant predictors of adverse outcomes (Figure 1). Conclusions: Adverse SDOHs are associated with a higher risk of MACE and all-cause mortality in AF, with sex-specific variations. These findings underscore the need of incorporating routinely SDOH assessment into clinical practice to more accurately stratify risk and tailor preventive strategies based on sex-specific data.

Examining the interplay between mental health indicators and quality of life measures among first-year law students: a cross-sectional study.

This research explores the intricate relationships between mental health indicators (depression, stress, and anxiety) and various dimensions of quality of life among first-year law students. The study aims to understand how affective valence, mood states, physical activity, body image perception, and social relations influence mental health outcomes. Data were collected from 75 first-year law students (46 females, 29 males), a group predominantly composed of young adults with limited financial means, living in various housing situations, primarily within urban environments, and generally reporting low levels of physical activity. Standardized questionnaires were used to assess mental health and quality of life, including the Depression, Anxiety, and Stress Scale-21 Items (DASS-21), Feeling Scale (FS), Exercise-Induced Feeling Inventory (EIFI), Modified Baecke Physical Activity Questionnaire (MBPAQ), World Health Organization Quality of Life-BREF (WHOQOL-BREF), and Contour Drawing Rating Scale (CDRS). Descriptive statistics, Pearson correlation, and regression analysis were employed to analyze the data. The analysis revealed significant correlations between depression (mean = 5.97, SD = 4.21), stress (mean = 7.81, SD = 4.80), and anxiety (mean = 6.17, SD = 4.58) with affective valence (p < 0.05), mood states (p < 0.05), physical activity (p < 0.05), body image perception (p < 0.05), and social relations quality (p < 0.05). Additionally, mood states (mean = 20.73, SD = 10.60), physical activity (mean = 8.43, SD = 1.35), body image perception (mean = 4.21, SD = 1.91), and social relations quality (mean = 12.46, SD = 2.33) were identified as significant predictors of mental health outcomes (p < 0.05). These findings underscore the complex interplay between mental health indicators and various dimensions of quality of life, emphasizing the necessity for a comprehensive approach to mental health care. By identifying these predictors, we have gained a clearer understanding of the factors that impact mental health in this specific population. The insights gained highlight the value of interventions aimed at improving mood, increasing physical activity, enhancing body image, and strengthening social connections. These targeted strategies could effectively address mental health issues and promote well-being among law students. Future research should further investigate these relationships and develop tailored interventions to better support students' mental health. This study contributes to understanding the complex interplay between mental health and quality of life, offering a foundation for both practical interventions and future research.

Personal and Clinical Predictors of Voice Therapy Outcomes: A Machine Learning Analysis Using the Voice Handicap Index

In this study, we examine the predictive factors influencing the outcomes of voice treatment in patients with voice-related disorders, using the voice handicap index (VHI) as a key assessment tool. By analyzing various personal habits and clinical variables, we identify the primary factors associated with changes when comparing VHI scores before and after voice treatment. For this research, we employed binomial logistic regression, random forest (RF), and a multilayer perceptron (MLP) model to evaluate the effectiveness of voice treatment. The findings reveal that gender (with female patients showing greater improvements in VHI scores compared to male patients), surgical history, voice use status, and voice training status are significant predictors of therapy outcomes. The MLP model demonstrated high accuracy, sensitivity, and specificity, with an area under the curve (AUC) value of 0.87 indicating its potential as a valuable clinical predictive tool; however, the model’s relatively low specificity suggests the need for further refinement to enhance its predictive accuracy. The results of this study provide valuable insights for clinicians and speech–language pathologists in developing personalized treatment strategies to optimize the effectiveness of voice therapy. Future research should prioritize the validation of these findings in larger and more diverse population samples. Furthermore, it is essential to explore additional predictive variables in order to enhance the model’s accuracy across different types of voice disorders.

Outcomes, efficacy and risk factors of 27-Gauge vitrectomy for diabetic tractional retinal detachment in Japanese patients.

Diabetic retinopathy leads to vision-threatening complications, such as proliferative diabetic retinopathy and tractional retinal detachment (TRD) and is a major global health concern. Despite advancements in vitrectomy techniques, challenges exist in managing postoperative complications and long-term visual acuity. This study aimed to evaluate postoperative outcomes of 27-gauge pars plana vitrectomy (27g PPV) for diabetic TRD and identify associated risk factors. Retrospective study. This study included 94 eyes of 74 patients who underwent 27g PPV for diabetic TRD between July 2017 and September 2022 at Juntendo University Urayasu Hospital, Japan. Patient demographics, preoperative characteristics, intraoperative details, and postoperative outcomes were examined. Statistical analyses were performed to identify factors influencing postoperative visual acuity. Mean follow-up duration was 23.1 ± 14.6 months. Postoperatively, visual acuity (LogMAR) improved significantly from 1.34 ± 0.82 to 0.65 ± 0.79 (P < 0.0001). Postoperative complications included persistent vitreous hemorrhage (15%) and neovascular glaucoma (4%). Final retinal reattachment rate was 97%. Preoperatively, macular detachment (P < 0.0001) and Grade IV TRD (P < 0.0001) severity were significantly associated with poor final best corrected visual acuity (P < 0.0001). Preoperative macular detachment (P < 0.0001), Grade IV TRD (P < 0.0001), intraoperative iatrogenic breaks (P = 0.031), and postoperative neovascular glaucoma (P < 0.0001) were identified as significant predictors of poor postoperative visual outcomes through multivariate analysis. This study highlights the efficacy of 27g PPV in improving visual acuity in patients with diabetic TRD. Despite favorable outcomes, attention to preoperative risk factors and meticulous surgical techniques remain crucial for optimizing long-term visual prognosis in these patients.

Clinical Efficacy of CBCT and 3D-Printed Replicas in Molar Autotransplantation: A Controlled Clinical Trial.

To evaluate the efficacy of the combined cone-beam (CBCT)/3D-replicas protocol on the clinical and radiographic outcomes of autotransplanted molars. Controlled clinical trial registered ISRCTN13563091 from August 2019 to September 2022. Patients aged 13-22 years requiring permanent premolar extraction and having at least one non-erupted third molar were enrolled at the Institute of Stomatology, Stradins University, Riga, Latvia. Patients in the 3D-replicas (n = 30) underwent maxillary CBCT scans and had 3D-printed replicas of the third molar fabricated, while the control group (n = 28) did not. The clinical outcomes included tooth mobility, bleeding on probing, and periodontal pocket depth assessed at 3, 6, and 12 months. The radiographic outcomes included root development, obliteration, periapical status, and crown changes at 12 months. Of the 55 patients assigned to interventions, 46 completed the study. No significant differences in survival and radiographic outcomes were found between the control (n = 22) and 3D-replica group (n = 24): root development (p = 0.3), root resorption (p = 0.057), periapical status (p = 0.7), and crown/root ratio change (p = 0.4). Logistic regression showed no significant associations between radiologic predictors (root resorption: p = 0.4; periapical status: p > 0.9; root development: p = 0.8). Significant clinical outcome predictors included total operative time (β = 0.0043, p = 0.049), Moorrees' stage (stage 4: β = -0.31, p < 0.001; stage 5: β = -0.39, p < 0.001), and four donor placement times (β = 0.93, p < 0.001), but group assignment was not a significant predictor. The CBCT/3D-replica protocol showed no significant differences in the clinical or radiological outcomes. The high success rates in both groups suggest that the protocol is valuable primarily for optimizing surgical efficiency and as a training tool for clinicians.

Incremental Prognostic Value of Left Ventricular and Left Atrial Strain in Moderate Aortic Stenosis.

Patients with moderate aortic stenosis (AS) show a poor prognosis if they have high-risk features. We investigated the incremental prognostic value of left ventricular (LV) and left atrial (LA) strain in patients with moderate AS. In a cohort of 923 patients with moderate AS (median age 74 years, men 55%, aortic valve area 1.18 [IQR 1.08-1.30] cm2, mean pressure gradient 25 [IQR 23-30] mmHg), LV global longitudinal strain (LV-GLS) and LA reservoir strain (LARS), were measured using speckle-tracking echocardiography. Absolute values of myocardial strain were used. The primary endpoint was a composite of all-cause mortality and heart failure hospitalization.During a median of 5.9 years, the primary endpoint occurred in 186 patients (20.2%). The median LV-GLS and LARS were 17.7% (IQR 14.8-19.7) and 24.5% (IQR 18.7-29.3). LV-GLS (adjusted HR 0.92, 95% CI 0.87-0.97) and LARS (adjusted HR 0.97, 95% CI 0.95-0.99) were significant predictors of the primary outcome, independent of clinical and echocardiographic variables including LV ejection fraction. Notably, the prognostic value of LV-GLS was stronger than that of LARS, remaining significant after further adjustment for LARS. LV-GLS<17% and LARS<22% were identified as optimal cutoffs for the primary outcome. Patients with both reduced LV-GLS and LARS had the worst outcome (log-rank p<0.001). LV-GLS<17% and LARS<22% had incremental prognostic value on top of other clinical and echocardiographic variables. In moderate AS, reduced LV-GLS and LARS have incremental prognostic value, and can refine risk stratification to identify high-risk patients.

Neurodevelopmental Outcome in Infants of Gestational Diabetic Mother in a Tertiary Care Hospital, Dhaka, Bangladesh

Background: Diabetes Mellitus (DM) is one of the most common metabolic complications of pregnancy, with negative influences on maternal and fetal health. Infants of Diabetic Mothers (IDMs) are prone to develop both early and late complications. Evidences shows that diabetes in pregnancy have strong association with long-term adverse effects on brain development in babies born to mothers with gestational diabetes mellitus. Very few studies were done in this subcontinent regarding association of gestational diabetes mellitus and infant’s neurodevelopmental outcome. This study will help to find out this associations and thus to reduce poor neurodevelopmental outcome in infants of diabetic mothers by early detection and providing proper early childhood stimulation. Objective: To assess the neurodevelopmental outcome of infants born to mother with gestational diabetes mellitus. Methodology: This prospective observational study was conducted in the department of Neonatology and Institute of Pediatric Neurodisorder and Autism (IPNA), BSMMU, from March 2022 to September 2023. Neonates (N= 52) born at or after 34 weeks of gestation and born to gestational diabetic mother were enrolled in this study. Consent was taken from guardians. The newborns fulfilling the inclusion criteria were followed up for neurodevelopmental assessment at their 9 months of age by clinical psychologists assigned from Institute of Pediatric Neurodisorder and Autism (IPNA), BSMMU, who were blinded about infant’s diagnosis. Bayley scales of infant and toddler development (BSID III) was used for developmental assessment. In the Bayley III, cognitive development, expressive and receptive language and fine and gross motor development all were evaluated at 9 months of age. All data were recorded in a preformed questionnaire and analyzed by Statistical Package for Social Sciences (SPSS), version 25. Results: According to inclusion and exclusion criteria 58 newborn were enrolled and their blood samples were sent at 24 to 48 hours of age to see the laboratory parameters of metabolic and hematological profile. Among them 6 patients lost to follow up, so 52 infants were followed up for neurodevelopmental outcome at 9 months of age. Among the baseline characteristics of mother and neonate 48% mother needed drugs for glycemic control, while others were on dietary modification and 75% of the mothers had good glycemic control. Most of the neonate were born at term and were age appropriate, 18 patients needed NICU admission. Among the neonatal laboratory parameters hyperbilirubinemia was most common (30.8%) and hypoglycemia was second most common found in 15.4% of newborns. The most common morbidity was sepsis (17.3%). Overall adverse neurodevelopmental outcome was found among 14 (26.9%) neonate and 38 (73.1%) neonates had favorable outcome. Use of drugs and poor maternal glycemic control were found statistically significant in between adverse and favorable groups. (p-value- 0.041 and 0.000). Among the neonatal clinical parameters only hypoglycemia was found statistically significant in between these two groups. (p-value- 0.014) Multivariate logistic regression among these predictive factors showed only maternal poor glycemic control was significantly associated with adverse neurodevelopmental outcome (p-value=0.001). Conclusion: Maternal gestational diabetes can adversely affect on their infants neurodevelopment. Among the adverse outcome of three domains language delay was most common. Neonatal hypoglycemia, maternal poor glycemic control and use of drugs for GDM are significant predictors of adverse neurodevelopmental outcome in infants of gestational diabetic mother. Among them maternal poor glycemic control was significantly associated with adverse neurodevelopmental outcome.

Which components of the global alignment proportionality score have the greatest impact on outcomes in adult spinal deformity corrective surgery?

To investigate the impact of the Global Alignment and Proportion (GAP) score components on patient outcomes in Adult Spine Deformity (ASD) surgery. Patients included underwent assessment via the GAP score and its individual components: pelvic version (GAP PV), lumbar lordosis (GAP LL), lumbar distribution index (GAP LDI) and spinopelvic component (GAP SP). Multivariable analyses assessed the association between alignment in these components and clinical outcomes in ASD patients. 762 ASD patients met inclusion criteria. Alignment in GAP SP independently predicted meeting MCID for SR-22S and ODI and was associated with a lower likelihood of developing mechanical complications. Patients aligned in GAP SP were less likely to develop proximal junctional kyphosis (OR 0.42, 0.26-0.73, p = 0.01) and PJF (OR 0.3, 0.13-0.74, p = 0.01). Proportioned alignment in GAP SP with disproportioned alignment in GAP LDI contributed to an increased risk of PJK and PJF (OR 2.67, 95% CI 1.95-6.82, p = 0.045). There was no significant association of GAP SP proportionality and GAP RPV (OR 1.1, 0.86-2.15, p = 0.253) or GAP LL (OR 1.34, 0.78-4.23, p = 0.673) disproportionality with outcomes. Disproportioned alignment in GAP SP but proportioned alignment in both GAP LL and GAP LDI was associated with decreased likelihood of PJK (OR 0.53, 95% CI 0.39-0.94, p = 0.02) and PJF (OR 0.31, 95% CI 0.19-0.67, p = 0.001). The spinopelvic component of the GAP score is the most significant independent predictor of clinical outcomes. Its interaction with the other components of the GAP score also aids assessment of the risk for mechanical complications.

Evaluating Spinal Cord Stimulation as a Therapeutic Strategy for Postmastectomy Pain Syndrome: A Retrospective Observational Study.

Postmastectomy pain syndrome (PMPS) is a chronic condition that significantly impacts breast cancer survivors, marked by persistent neuropathic pain that is often unresponsive to conventional therapies. Spinal cord stimulation (SCS) has emerged as a promising intervention for managing this type of pain. This study aimed to assess the clinical efficacy of SCS in managing PMPS and identify patient-specific factors impacting treatment outcomes. This retrospective observational study analyzed 78 female patients who underwent SCS implantation between January and October 2023. The efficacy of SCS was assessed by evaluating changes in visual analog scale (VAS) pain scores from baseline to six months after implantation. The influence of factors such as age, body mass index (BMI), prior treatments, and psychologic health on treatment success was explored using binary logistic regression. Six months after implantation, 61 patients (78.2%) reported significant pain relief, with a decrease in VAS scores by ≥4 points. Statistical analysis revealed several predictors of positive outcomes: younger age (hazard ratio [HR]= 0.882, 95% CI: 0.802-0.970, p= 0.009), lower BMI (HR= 0.659, 95% CI: 0.487-0.891, p= 0.007), and psychologic treatment (HR= 0.015, 95% CI: 0.001-0.377, p= 0.011). Conversely, prior radiotherapy was associated with less favorable outcomes (HR= 2.139, 95% CI: 1.219-5.808, p= 0.029). The receiver operating characteristic curve analysis confirmed the model's accuracy (area under the curve= 0.927). SCS is an effective treatment for PMPS, with age, BMI, psychologic treatments, and prior radiotherapy being significant predictors of outcomes. Tailoring treatment plans to these factors can potentially enhance pain management for patients with PMPS.