Search Results (2,034)

Background/Objectives: This paper aims to design an explainable and accurate ML framework to support the automatic classification of Carpal Tunnel Syndrome (CTS) severity from structured patient data. Methods: For the experiment, an open-source dataset of 1037 samples was used. Following stratified partitioning, 305 samples were held out as the test set; the remaining training set (n = 732) was augmented to 1216 balanced samples via ADASYN, yielding an 80/20 train/test ratio relative to the final dataset (n = 1521). In order to solve the problem of imbalance associated with CTS cases of moderate and severe severity, the Adaptive Synthetic Sampling (ADASYN) technique was employed. The model’s predictive capacity was increased by means of feature engineering methods, such as polynomial transformations and clinically relevant interactions. Specifically, four ensemble learning models (XGBoost, Random Forest, LightGBM, and CatBoost) were optimized and ensembled with the use of a stacking approach with a base algorithm of LightGBM. The explainability of the model was ensured through SHAP and LIME analysis. Results: As a result, the stacking ensemble was able to reach a test accuracy of 91.15%, an F1-score of 91.13%, and an ROC-AUC of 0.9708. The proposed ensemble performed superiorly compared to any other individual algorithm while having stable performance across all severity categories. Conclusions: Through the explainability analysis, it was observed that such a classification model relies on important clinically relevant predictors, including cross-sectional area (CSA), duration of symptoms, pain level measured by the numeric rating scale of pain (NRS), and palmar bowing (PB). Full article

Introduction: Obstructive sleep apnea (OSA) is highly prevalent, affecting up to 50% of individuals over 65 years. Elderly patients often present with atypical, fewer and less severe symptoms, suggesting age-specific phenotypes. However, comprehensive clinical phenotyping that incorporates cognitive outcomes remains limited. This study aimed to characterize OSA phenotypes through cluster analysis and evaluate their association with cognitive impairment, independently of age. Materials and Methods: Between 2020 and 2024, 409 adults with moderate-to-severe OSA were enrolled and stratified into three age groups (<65, 65–74, ≥75 years). All underwent home sleep apnea testing (HSAT), comprehensive symptom assessment, Epworth Sleepiness Scale (ESS), and Montreal Cognitive Assessment (MoCA, pathological ≤ 25 pts). Hierarchical cluster analysis (Ward’s method) used AHI, T90, BMI, and ESS. Logistic regression identified independent predictors of cognitive impairment. Results: Older groups showed lower BMI, higher comorbidity burden, fewer symptoms, and greater cognitive impairment prevalence (4.5% vs. 9.7% vs. 45.9%; p < 0.001), despite comparable polysomnographic severity across age groups. Cluster analysis identified three phenotypes: Cluster 1 (classical OSA: high AHI, BMI, T90, ESS); Cluster 2 (geriatric phenotype: low AHI, BMI, T90, ESS, highest cognitive impairment rate: 27.7%); Cluster 3 (hypersymptomatic: low AHI and T90, high sleepiness and asthenia, prevalent depression). On multivariate regression, age (OR 1.155; p < 0.001), male sex (OR 2.223; p = 0.034), and Cluster 2 (OR 3.131; p < 0.001) were independent predictors of cognitive impairment. Conclusions: Three clinically distinct OSA phenotypes were identified regardless of age and severity. The geriatric phenotype was associated with three-fold increased risk of cognitive impairment, supporting routine cognitive screening and age-adapted diagnostic strategies in elderly OSA patients. Full article

Background/Objectives: Insomnia is highly prevalent among patients with asthma and has been associated with systemic inflammation, reduced lung function, and increased mortality. This study investigated whether insomnia mediates the relationship between asthma control and psychosocial dysfunction, including social anhedonia and functional impairment. Methods: This cross-sectional study included 153 adults with physician-diagnosed asthma classified as controlled (n = 51) or uncontrolled (n = 102) according to the Asthma Control Test (ACT). Insomnia severity was assessed using the Athens Insomnia Scale (AIS), social anhedonia using the Revised Social Anhedonia Scale (RSAS), psychological distress using DASS-21, and functional impairment using the Functioning Assessment Short Test (FAST). Results: Uncontrolled asthma was associated with significantly higher insomnia severity and greater depression, anxiety, and stress levels (all p < 0.001). Asthma control emerged as the strongest independent predictor of insomnia severity (β = −0.451, p < 0.001). Although asthma control was not directly associated with social anhedonia or functional impairment, insomnia significantly mediated these relationships. The indirect effect of asthma control on social anhedonia via insomnia was significant (B = −0.1162, 95% CI [−0.2384, −0.0029]), as was the indirect effect on functional impairment (B = −0.4953, 95% CI [−0.8656, −0.1038]). Spirometric indices were not independently associated with psychosocial outcomes. Conclusions: Insomnia may represent an important intermediary process linking poor asthma control to psychosocial dysfunction. These findings highlight the clinical importance of assessing sleep disturbances in asthma patients and suggest that insomnia may contribute to broader psychosocial impairment beyond respiratory symptoms alone. Full article

Background: Menopausal symptoms may adversely affect women’s overall health and well-being. Aim: This study investigated the effects of menopausal symptoms on subjective well-being in women in the 40–65 age group. Methods: The study sample consisted of 510 women, with 318 postmenopausal and 192 perimenopausal participants. Data were gathered using a Sociodemographic Information Form, the Menopause Rating Scale (MRS), and the Subjective Well-being Scale (SWBS), all administered as self-report instruments. Menopausal status was determined using the Stages of Reproductive Aging Workshop +10 criteria. Descriptive statistics, Chi-square test, Pearson correlation, and regression analyses were used. Results: Three regression models were specified to investigate the relationship between menopausal symptoms and subjective well-being. Model 1 demonstrated that overall menopausal symptoms were significant negative predictors of subjective well-being (B = −0.749, SE = 0.156, β = −0.260, t = −4.788, p < 0.001, 95% CI [−1.06, −0.44], R² = 0.068). Model 2 showed that both urogenital symptoms (B = −1.208, SE = 0.517, β = −0.139, t = −2.336, p = 0.020, 95% CI [−2.22, −0.20]) and somatic symptoms (B = −2.068, SE = 0.731, β = −0.168, t = −2.830, p = 0.005, 95% CI [−3.50, −0.64]) were significant negative predictors. Model 3 indicated that psychological symptoms significantly and negatively predicted subjective well-being (B = −1.114, SE = 0.262, β = −0.233, t = −4.253, p < 0.001, 95% CI [−1.63, −0.60], R² = 0.054). Conclusions: The findings highlight the importance of comprehensive health strategies and demonstrate that psychological symptoms significantly impact overall well-being. Full article

Objectives: This study aimed to estimate the prevalence of Post-COVID-19 Syndrome among older adults in Indonesia, using time-based definitions of symptoms persisting beyond >4 weeks, >8 weeks, and >12 weeks. Methods: A retrospective cohort study was conducted among 329 older patients (≥60 years) hospitalized with COVID-19 in two tertiary hospitals in Jakarta from January to December 2021. Data on risk factors and persistent symptoms were collected from medical records and interviews. Results: The prevalence of Post-COVID-19 Syndrome was 31% (>4 weeks), 18.24% (>8 weeks), and 10.64% (>12 weeks). Significant predictors included frailty (OR 2.814), immobility during hospitalization (OR up to 4.767), higher number of initial symptoms (OR 2.043), constipation, instability, and sensory impairment during follow-up. Conclusions: Frailty, symptom burden, and geriatric syndromes, particularly immobility are strongly associated with Post-COVID-19 Syndrome in older adults. Clinical Implications: Early identification of frailty, geriatric syndromes (especially immobility), and high initial symptom burden is essential for risk stratification, targeted monitoring, and implementation of preventive and rehabilitative interventions to reduce long-term post-COVID-19 complications in older populations. Full article

Background/Objectives: Survival rates after pediatric liver transplantation have improved substantially over recent decades, yet the psychiatric consequences for recipients remain a concern that warrants closer attention. We sought to map the psychiatric symptom burden across multiple domains in this population and to determine which symptom clusters carry the greatest impact on health-related quality of life (HRQOL). Materials and Methods: Fifty liver transplant recipients between the ages of 8 and 18 were enrolled at a single center. Children and their parents completed four psychiatric measures—the CBCL, CDI, SCARED, and CRIES-13—alongside the parent-proxy PedsQL to capture HRQOL across physical, emotional, social, and school functioning domains. Correlations between instruments were calculated, and linear regression was used to determine which psychiatric variables independently predicted PedsQL Total scores. Results: Across all psychiatric measures, higher symptom scores were associated with lower HRQOL, with school functioning recording the lowest absolute PedsQL domain score, while emotional functioning demonstrated the strongest and most consistent inverse correlations with all psychiatric symptom measures across instruments. CBCL Total (r = −0.607), SCARED Total (r = −0.557), and CRIES-13 Total (r = −0.548) scores all correlated meaningfully with overall HRQOL. When entered into multivariable analysis, anxiety symptoms measured by the SCARED (β = −0.295, p = 0.032) and post-traumatic stress symptoms measured by the CRIES-13 (β = −0.400, p = 0.004) stood out as the two independent predictors of worse PedsQL Total scores. Conclusions: Even in medically stable recipients, anxiety and post-traumatic stress symptoms were independently associated with lower daily functioning scores and overall quality of life. These findings suggest that routine psychosocial screening and trauma-informed approaches may warrant integration into post-transplant care protocols, and that prospective, adequately powered studies are needed to confirm and extend these associations. Full article

Primary Epstein–Barr virus (EBV) infection in children exhibits substantial clinical heterogeneity, often complicating early diagnosis and leading to unnecessary antibiotic use. This retrospective study evaluated 695 children (0–18 years) diagnosed with primary EBV infection at a tertiary pediatric center between 2010 and 2015, defined by positive viral capsid antigen (VCA) IgM and negative Epstein–Barr nuclear antigen (EBNA) IgG. Clinical, laboratory, and ultrasonographic findings were compared according to age group (≤4 vs. >4 years) and clinical setting (inpatient vs. outpatient). The median age was 3.75 years (IQR: 2–6.25), and more than half of the patients were ≤4 years. Younger children more frequently presented with nonspecific respiratory and gastrointestinal symptoms, whereas older children more commonly exhibited the classic infectious mononucleosis (IM) phenotype, including sore throat, dysphagia, lymphadenopathy, and hepatosplenomegaly (p < 0.001). Antibiotics were prescribed in 64.2% of patients, while 21.7% required hospitalization. Multivariable logistic regression analyses demonstrated that age was not an independent predictor of hospitalization, classic IM phenotype, or antibiotic use. Instead, specific clinical and laboratory findings—such as lymphopenia, lymphadenopathy, vomiting, thrombocytosis, and tonsillar hypertrophy—emerged as the key determinants of clinical outcomes. To enhance diagnostic discrimination, receiver operating characteristic (ROC) analysis of ANC/ALC and AST/ALT ratios was performed, and a composite risk score (0–2) was derived. Although both markers showed modest discriminative ability (AUC 0.607 and 0.575), their high negative predictive values (>90%) suggest potential utility as rule-out tools. The composite score demonstrated a stepwise increase in the probability of classic IM presentation across age groups. In conclusion, primary EBV infection demonstrates a clear age-related clinical spectrum; however, clinical and laboratory features rather than age alone drive key outcomes. These findings highlight the need for age-specific diagnostic strategies and improved antimicrobial stewardship, while the proposed risk score provides a foundation for future validation studies. Full article

Background: Stroke is a major global health issue. It is among the leading causes of disability and mortality worldwide. Early stroke detection and treatment are significant in enhancing long-term outcomes. Awareness of neuroimaging is also essential because neuroimaging must be completed urgently within a limited time to diagnose and treat stroke patients correctly. This study aims to investigate awareness of stroke symptoms, risk factors, and utilization of neuroradiology services among the public in Saudi Arabia. Methods: This is an online survey study that was conducted in Saudi Arabia using social media platforms between January to February 2026. The questionnaire tool for this study was adapted from previous research and examined stroke awareness, symptoms, and risk factors. In addition, it examined neuroradiology awareness and utilization. The multivariable logistic regression analysis was used to identify predictors of better awareness of stroke. Results: A total of 415 participants were involved in this study. Around 46.7% of them were aged 25–34 years. Females formed the majority of the study sample, comprising 76.4%. Bachelor’s degree holders formed 61.4% of the study sample. Around 42.9% of the study sample were unemployed. Married participants contributed 64.3%. Almost half of the study sample (47.2%) reported that their monthly income is less than 5000 SAR. In this study, the participants demonstrated a moderate level of knowledge of stroke. The majority of the participants (70.8%) reported that they are aware of radiology centers near them that they can refer to in case of stroke emergency or follow-up, and 79.0% reported that they think that radiological imaging is important for diagnosing and treating stroke. The majority of the participants (72.3%) reported that they have heard of interventional radiology procedures for stroke. Participants aged 35–44 years and 55–64 years were less likely to have better knowledge of stroke compared to others (aOR: 0.21 (CI: 0.06–0.83); p-value: 0.026) and aOR: 0.17 (CI: 0.04–0.81); p-value: 0.026, respectively). Furthermore, participants who reported that their income level is 5000–9999 SAR and 10,000–14,999 SAR were less likely to have better knowledge of stroke compared to others (aOR: 0.32 (CI: 0.13–0.80); p-value: 0.014 and aOR: 0.21 (CI: 0.09–0.53); p-value: <0.001), respectively). On the other hand, participants who are unemployed were more likely to have better knowledge of stroke compared to others (aOR: 3.63 (CI: 1.09–12.05); p-value: 0.035). Conclusions: The current investigation demonstrated a moderate level of knowledge about strokes among the public in Saudi Arabia. Targeted interventions are mandated to improve the level of awareness about strokes, with a focus on knowledge of the correct emergency response, specifically calling an ambulance. Full article

Background/Objectives: Atrial fibrillation (AF) is common in heart failure with preserved ejection fraction (HFpEF) and is associated with worse symptoms and prognosis. Emerging evidence suggests that sex modifies the AF–HFpEF relationship through differences in atrial remodeling, comorbidity burden, and hemodynamic vulnerability. This study aimed to evaluate how sex and AF jointly relate to differences in cardiac structure, clinical characteristics, and outcomes in HFpEF. Methods: We retrospectively analyzed 622 patients with HFpEF admitted between January 2019 and May 2023. Patients were categorized into four predefined clinical subgroups: women without AF, women with AF, men without AF, and men with AF. The primary endpoint was first rehospitalization for HF decompensation. Results: Over a mean follow-up of 48.6 ± 16.4 months, 181 patients (29.1%) were rehospitalized for worsening HF, with the highest event burden observed in men with AF. Sex and AF were each associated with distinct clinical and remodeling profiles, without significant sex-by-AF interaction effects. AF was independently associated with a higher risk of HF rehospitalization (HR 1.45, 95% CI 1.06–1.99, p = 0.021), whereas female sex was protective (HR 0.71, 95% CI 0.53–0.97, p = 0.032). Men with AF exhibited the most adverse remodeling profile, characterized by the largest unindexed left atrial and left ventricular dimensions, the highest prevalence of significant tricuspid regurgitation, and the lowest event-free survival (HR 1.92, 95% CI 1.23–2.99, p = 0.004). In contrast, women with AF more frequently displayed concentric remodeling and significant mitral regurgitation. Independent predictors of rehospitalization included higher NYHA functional class and lower left ventricular EF within the preserved EF range. Conclusions: Sex and AF were independently associated with substantial differences in cardiac structure, clinical characteristics and prognosis in HFpEF. Men with AF represent the highest-risk subgroup, driven by more advanced structural remodeling and valvular dysfunction. These findings suggest that simple sex- and rhythm-based classification may provide complementary information for risk stratification and management in HFpEF. Further validation in independent cohorts is warranted. Full article

(1) Background: Problematic social media use has increasingly been conceptualized as a non-clinical addictive-like behavior characterized by impaired control and negative functional consequences. Despite the rapid growth of TikTok and its algorithm-driven content delivery, the contribution of individual psychological factors and users’ awareness of algorithmic processes to addictive symptoms remains insufficiently understood, particularly in Latin American contexts. This study examined the associations between personality traits, algorithmic awareness, and addictive symptoms of TikTok use among university students. (2) Methods: A quantitative, cross-sectional design was conducted with a convenience sample of 238 university students from Ecuador. Participants completed self-report measures of social media addiction, algorithmic media content awareness, and Big Five personality traits. Spearman correlations and hierarchical multiple regression analyses were performed, controlling for age and sex. (3) Results: Algorithmic awareness dimensions were not significant predictors of addictive symptoms. Demographic variables explained minimal variance, whereas personality traits accounted for the largest increase in explained variance in the final model. Neuroticism and Extraversion were positively associated with addictive symptoms, while Conscientiousness and Openness to Experience were negatively associated. (4) Conclusions: Personality traits were more informative than algorithmic awareness in explaining addictive-like TikTok use among university students, underscoring the relevance of self-regulatory and affective dispositions for prevention and intervention strategies. Full article

Background: The impact of climate change on birds’ migration and ticks’ reservoir habits is contributing to the spread of Crimean–Congo hemorrhagic fever (CCHF), caused by CCHF virus (CCHFV), to new continents and countries. CCHF is endemic to the Eastern Mediterranean Region, including Iraq, and is witnessing a substantial surge in confirmed cases with considerable disparity and gaps in managing CCHF cases. The increasing CCHF spread across Asia, Africa, and Europe, including Spain and Turkey, highlights the danger of its expansion. Developing high-confidence diagnostic criteria, identifying risk factors, and accurate predictors of CCHF outcomes are critical to managing suspected and confirmed cases of CCHF and to reducing the current case fatality rate of CCHF, which is the goal of this study. Methods: We completed a retrospective evaluation of 61 confirmed cases of CCHF in Basrah (Iraq). The cases were screened according to the clinical presentation, and CCHF cases were identified by ELISA and validated by PCR. Data was analyzed using SPSS version 22. T-tests, chi-square/Fisher exact tests, and Pearson’s correlation were used, with significance set at p < 0.05 and high significance at p < 0.01. Results: We found that repeated exposure to animals during animal slaughtering was a significant risk factor. In addition, 5% of the patients with confirmed CCHF, mainly from rural areas, reported exposure to rats. Clinical presentations included fever, headache, gastrointestinal problems, eye and orbital symptoms, and hemorrhagic complications. Predictors of death included advanced age, decreased platelet counts, and neuropsychiatric symptoms such as delusions and confusion. Conclusions: Our findings identify clinical and laboratory features of CCHF cases in Iraq, which will help to implement the most effective interventions to manage CCHF cases and protect the public in all Iraqi governorates. In summary, this study highlights a recent and significant rise in CCHF cases in Basrah Governorate, Iraq. Notably, 5% of confirmed cases reported contact with rats. The paper also proposes diagnostic criteria and identifies key predictors of mortality to support improved clinical management of CCHF. These findings underscore the urgent need for strengthened public health interventions, including enhanced infection prevention and control measures, increased awareness, and improved surveillance systems. The findings have important implications for improving control procedures, guiding therapeutic development, informing vaccine strategies, and supporting evidence-based policy alongside future research efforts. Full article

Background/Objectives: Two diagnostic approaches for sleep studies are commonly used worldwide: in-laboratory polysomnography [PSG] and home sleep apnea testing [HSAT]. Although HSAT has gained increasing acceptance due to its convenience and lower cost, clinical criteria for HSAT use remain complex and cannot be inferred directly from AHI/ODI severity indices alone. The aim of the present exploratory study was to examine associations between routinely collected demographic, clinical, and symptom-related variables and objective indices of disease severity, namely the apnea–hypopnea index [AHI] and oxygen desaturation index [ODI] as an initial, hypothesis-generating step toward future patient-level model development and validation. Methods: A retrospective observational analysis was conducted in 1100 individuals who previously underwent in lab-polysomnography [PSG] at the University Hospital of Thessaly, Greece, between 2006 and 2023. Specific demographic, clinical and symptom-related variables were included in this study [six continuous and fifteen categorical], which were analyzed in relation to AHI and ODI values. A three-step process was carried out: variable selection followed a screening and backward elimination process. Multivariable linear regression models were subsequently estimated within a Bayesian framework using Hamiltonian Monte Carlo methods. Results: Out of 1100 individuals, the mean age was 51.9 years with the predominant gender being male [76%]. Obesity [65.6%] and hypertension [40.5%] were the most common comorbidities. For AHI, male gender, body mass index [BMI], Epworth Sleepiness Scale [ESS] score, reported breathing interruptions during sleep, and chronic obstructive pulmonary disease [COPD] were significant predictors. For ODI, significant predictors included male gender, BMI, ESS score, breathing interruptions during sleep, daytime sleepiness, obesity, and COPD. COPD showed an inverse association with both indices. Conclusions: These findings support the feasibility of integrating routinely available clinical variables within a Bayesian probabilistic framework to estimate disease severity pre-test probability. The current analysis may not constitute a validated tool for HSAT versus PSG selection; however, it is an initial, hypothesis-generating step toward future model development. Full article

Background: Gender differences in adolescent mental health are well documented; however, the extent to which modifiable behavioral and psychosocial factors account for the excess of mental health problems in females remains insufficiently quantified. Methods: Data from the 2025 Corona and Psyche South Tyrol (COP-S) survey comprised a base sample of 2428 adolescents aged 11–19 years (51.4% males) with valid self-reported data. Multivariable regression analyses were conducted on 1448–1603 adolescents (depending on the outcome) who provided complete responses to the relevant predictor and outcome measures. Gender differences in depressive symptom scores (PHQ-2), generalized anxiety symptom scores (SCARED-GAD), and emotional/behavioral difficulties (SDQ) were examined using Mann–Whitney U and chi-square tests. Multivariable linear regression models were used to assess the associations between mental health outcomes and the ten predictors. Gender effects were quantified by comparing standardized regression coefficients from unadjusted and adjusted models. Results: Female adolescents reported higher generalized anxiety symptoms (median 6 vs. 4; rank-biserial r = 0.24), depressive symptoms (r = 0.13), and emotional/behavioral (r = 0.08) scores than male adolescents. School stress, problematic Internet use, and sleep-onset difficulties were the factors most strongly associated with all three outcomes (all p < 0.001). After multivariable adjustment, gender remained significantly associated with generalized anxiety symptoms (β = 0.18) and depressive scores (β = 0.09) but no longer reached significance for emotional/behavioral scores (β = 0.04, p = 0.078). The attenuation of the gender effect ranged from 25.3% for generalized anxiety symptoms to 37.1% for depressive symptoms and 58.5% for emotional/behavioral difficulties. Conclusions: Gender differences in adolescent mental health were substantially attenuated after adjustment for modifiable behavioral and psychosocial factors, with the gender difference in emotional/behavioral scores no longer statistically significant after adjustment. Persistent gender disparities in generalized anxiety symptoms suggest that mechanisms beyond the measured behavioral correlates may contribute to this gender difference and warrant further investigation. Full article

Physical activity participation in young adulthood is typically explained by motivational and environmental determinants; however, regulatory models of daily behaviour suggest that transient fluctuations in sleep quality, circadian preference, and stimulant use may also be associated with how individuals appraise effort-related demands. Within this behavioural–temporal regulatory perspective, perceived barriers to physical activity may be related to variations in functional energy, alertness, and temporal alignment rather than solely stable contextual constraints. The present cross-sectional study examined whether insomnia symptoms (sleep initiation and awakening problems), chronotype, and daily caffeine intake were concurrently related to perceived personal, social, and environmental physical activity barriers in 788 university students (18–27 years). Standardized self-report measures were administered under controlled assessment conditions. Pearson correlations and theory-informed hierarchical regression models were applied. Sleep initiation problems demonstrated very weak positive correlations with total and domain-specific barriers (r = 0.12–0.17), whereas awakening problems showed very weak inverse correlations (r = −0.10 to −0.14, p ≤ 0.005). Chronotype was weakly associated only with personal barriers (β ≈ −0.09, p = 0.013). Daily caffeine intake showed a weak negative association with environmental barriers (β ≈ −0.15, p < 0.001). Across models, explained variance remained limited (adjusted R² = 0.040–0.053), indicating that these variables explained only a very small proportion of variance in perceived physical activity barriers. These findings suggest that sleep-related and chronobiological characteristics are not meaningful independent predictors of perceived physical activity barriers in this population and demonstrate only weak, domain-specific, and non-directionally consistent associations. Accordingly, the findings should be interpreted cautiously as exploratory rather than practically predictive. Given the cross-sectional design and low explained variance, the results primarily highlight the limited explanatory utility of these psychobiological factors relative to broader unmeasured contextual determinants. Longitudinal and time-sensitive designs incorporating objective behavioural assessments are required to clarify temporal ordering and potential regulatory mechanisms. Full article

Background and Objectives: Subcortical bone cysts at the tibial attachment of the medial meniscus posterior root (MMPR) may reflect chronic degenerative changes; however, their clinical significance in medial meniscus posterior root tear (MMPRT) remains unclear. This study assessed whether bone cysts are associated with symptom duration and whether their presence influences healing status or medial meniscus extrusion (MME) after transtibial pullout repair (TPR). Materials and Methods: Seventy-four consecutive patients who underwent arthroscopic TPR for MMPRT between January 2022 and December 2024 were retrospectively reviewed. After applying exclusion criteria, 50 patients were included and divided into cyst-positive (n = 20) and cyst-negative (n = 30) groups based on preoperative MRI findings. Clinical outcomes, MME, and second-look arthroscopic healing status at 6 months postoperatively were compared between groups. Multivariable linear regression analysis was performed to identify independent predictors of postoperative MME. Results: The cyst-positive group had significantly longer symptom duration than the cyst-negative group (13.8 ± 3.0 vs. 8.8 ± 2.8 weeks, p < 0.001) and demonstrated higher grades of MMPR degeneration (p < 0.05). Complete healing was observed in 60.0% of patients in each group, and no failed healing cases were noted. Postoperative MME at 6 months was comparable between groups (3.8 ± 0.8 vs. 3.8 ± 1.0 mm). Multivariable regression analysis identified baseline MME as the strongest independent predictor of postoperative MME (β = 0.67, p < 0.001), whereas bone cyst presence was not independently associated with postoperative extrusion. Conclusions: Subcortical bone cysts at the MMPR attachment are associated with longer symptom duration and more advanced root degeneration. However, their presence was not significantly associated with healing status or postoperative MME after MMPRT repair. These findings suggest that bone cyst formation may be associated with chronic degenerative changes at the root attachment, but should not discourage surgeons from performing root repair. Full article