Predictive Value For Outcome Research Articles

Assessing the intracranial metabolic score as a novel prognostic tool in primary CNS lymphoma with end of induction-chemotherapy 18F-FDG PET/CT and PET/MR.

The metabolic response of primary central nervous system lymphoma (PCNSL) patients has yet to be evaluated. This study aimed to assess the prognostic value of a novel scoring scale, the intracranial metabolic score (IMS), in PCNSL patients receiving end-of-therapy 18F-FDG PET/CT (EOT-PCT) and PET/MR (EOT-PMR). The IMS was determined based on the metabolism of normal intracranial structures, including gray matter, white matter, and cerebrospinal fluid. The EOT-PCT cohort was evaluated using the IMS and commonly used Deauville score (DS). Another cohort of patients who underwent the EOT-PMR was used to validate the accuracy of the IMS. In total, 83 patients were included in the study (38 in PET/CT cohort, and 45 in PET/MR cohort). The area under the curve (AUC) values of the IMS for predicting PFS and OS were superior to those of the DS. When patients in the PET/CT cohort were stratified into five groups (respectively labeled IMS 1-5), three groups (IMS1-2, IMS 3-4, and IMS 5), or two groups (IMS1-3 and IMS4-5; IMS 1-4 and IMS 5), a higher IMS score was significantly correlated with poorer PFS and OS (p < 0.001). Similar results were observed for PFS in the PET/MR cohort (p < 0.001). The IMS and DS scale were found to be independent prognostic indicators for PFS and OS in the PET/CT cohort, and the IMS was identified as the sole independent prognostic indicator for PFS in the PET/MR cohort. The IMS as a novel and effective prognostic tool for PCNSL patients, showing superior predictive value for patients' outcomes compared to the DS when assessed with EOT-PET scans.

Construction of a novel mitochondrial oxidative stress-related genes prognostic system and molecular subtype characterization for breast cancer

PurposeBreast cancer (BRCA) is the most common malignant tumor among women, characterized by high incidence rates and mortality rates. Oxidative stress and immunity, particularly in relation to mitochondria, have emerged as pivotal factors in breast carcinogenesis. Nonetheless, limited research has explored the specific contribution of mitochondrial oxidative stress to the prognosis of BRCA.MethodIn this study, we conducted univariate and multivariate Cox regression analyses to pinpoint independent prognostic genes associated with mitochondrial oxidative stress (MOSRGs) and their correlation with BRCA clinical outcomes. Subsequently, we developed a robust and accurate MOS scoring system for BRCA patients based on these identified independent prognostic MOSRGs.ResultOur findings were further substantiated by immune infiltration and somatic mutation analyses, providing additional evidence that the MOS scoring system holds predictive value for clinical outcomes in patients and correlates directly with three subtypes of BRCA. In vitro experiments in the MCF7 cell and breast tissue further verified the mRNA and protein expression level of independent prognostic genes, validating the consistency of the MOS prognostic signatures in BRCA.ConclusionThis research has unveiled a novel prognostic scoring system, providing valuable insights for improving patient prognosis assessment and developing individualized treatment strategies in BRCA patients.

Limitations of outcome prediction based on interfractional volume changes of large (≥ 10cm3) brain metastases during fractionated gamma knife radiosurgery.

This study investigated the interfractional volume changes of large (≥ 10 cm3) brain metastases (BMs) during fractionated gamma knife radiosurgery (FGKRS) to assess its predictive value for tumor control outcomes. The patients who underwent FGKRS for large BMs between January 2017 and December 2022 in our center were reviewed. The interfractional volume change was defined as the disparity in tumor volume (TV) measured between the magnetic resonance images acquired on the first treatment day and those obtained after 2 or 3 fractions during the course of FGKRS. A total of 73 lesions in 70 patients with various primary pathologies were included. Over a median follow-up period of 11months (range 1-77), the tumor control rate was 63%. Initial TV (cm3) was associated with progression free survival (PFS) and overall survival (OS) in both univariate and multivariate analyses (p = 0.01). Interfractional TV changes revealed an increase in 13 (17.8%) lesions, no change in 14 (19.2%) lesions, and a decrease in 46 (63.0%) lesions, with a mean volume reduction of 5% ± 0.12. Three cut-offs (5%, 10% and 15% volume decrement) were established and patients were divided into two groups based on each reference point. However, there were no significant differences in PFS and OS between the two groups, irrespective of the chosen cut-off value used. Interfractional volume changes of large BMs were not found to be associated with tumor control outcomes. Neither significant interfractional volume reduction nor significant volume increase necessarily predicts the tumor control, making early close monitoring essential after FGKRS.

Integrating oral health in stroke care: a critical necessity.

To highlight the critical role of integrating oral health assessments into routine stroke care for better patient outcomes. The Eto et al. study utilizes the modified oral assessment grade (mOAG) to evaluate the oral health of acute ischemic stroke patients upon admission and its predictive value for functional outcomes and hospital-acquired pneumonia (HAP). Evidence from Eto et al. study shows that mOAG scores at admission significantly predict 3-month functional outcomes and the incidence of HAP, emphasizing the need for comprehensive oral evaluations. Integrating oral health assessments into stroke care protocols can improve recovery outcomes, reduce HAP incidence, and lower healthcare costs through preventive oral care. Routine oral health evaluations for stroke patients are crucial for better recovery and overall health outcomes, advocating for policy changes and multidisciplinary approaches to patient care.

A retrospective cohort study on a novel marker to predict the severity and prognosis of acute cerebral venous thrombosis: D-dimer to fibrinogen ratio

Background and aimThe D-dimer to fibrinogen ratio (DFR) represents an emerging and significant clinical biomarker. However, its correlation with cerebral venous thrombosis (CVT) remains underexplored. This retrospective cohort study aims to elucidate the association between DFR values and the severity and prognosis of CVT.MethodsSevere CVT was defined as the presence of at least 1 of the following risk factors: mental status disorder, coma state, intracranial cerebral hemorrhage, or thrombosis of the deep cerebral venous system. The modified Rankin Scale was utilized to assess functional outcomes. DFR measurements were obtained within 24 h of hospital admission. Logistic regression analysis was employed to determine the prognostic significance of DFR. After Bonferroni correction, a two-tailed P value < 0.017 (0.05/3) was considered statistically significant.ResultA total of 196 patients were included in the study, among whom 85 patients were diagnosed with severe CVT, and 35 and 14 patients experienced short-term and long-term adverse outcomes, respectively. Receiver operating characteristic curve analysis demonstrated that DFR has predictive value for severe CVT, poor short-term and long-term outcomes, with area under the curve values of 0.690 [95% CI: 0.617–0.764, P < .001], 0.773 [95% CI: 0.701–0.845, P < .001], and 0.754 [95% CI: 0.619–0.886, P = .002], respectively. DFR ≥ 0.253 was identified as a significant predictor of severe CVT [adjusted odds ratio (aOR) (95% CI): 2.03 (1.10–3.75), P = .024]. Additionally, DFR ≥ 0.322 and DFR ≥ 0.754 were significantly associated with poor short-term outcomes at discharge [aOR (95% CI): 2.63 (1.43–4.76), P = .002] and poor long-term outcomes at 12 months [aOR (95% CI): 2.86 (1.32–6.25), P = .008], respectively.ConclusionElevated DFR is associated with increased severity of CVT. Additionally, higher DFR levels can predict poorer clinical outcomes in CVT.

Effect of combination of uterine artery doppler and vitamin D level on perinatal outcomes in second trimester pregnant women.

To investigate the effect of the combination of uterine artery (UtA) Doppler and vitamin D levels on perinatal outcomes in second trimester pregnants was aimed. UtA Dopplers and vitamin D levels of 226 pregnant women in the second trimester were measured. Patients were followed for adverse pregnancy outcomes. The relationship ofthis combination with these pregnancy outcomes was evaluated. Sensitivity and specificity values ​​are respectively; Left UtA-S/D ratio for preeclampsia was 85.29 and 81.77 %, left UtA-RI was 90.62 and 43.30 % for preterm birth, and 76.19 and 66.34 % for the development of fetal distress had the best predictive effect. Vitamin D values ​​had no predictive value for any parameter (p>0.005). UtA Doppler has a good predictive value for many adverse pregnancy outcomes. However, in order to correlate these results with second trimester vitamin D levels, more homogeneous and specific groups are needed.

The Impact of Blood Pressure Rhythm and Perioperative Blood Pressure Variability on Short-Term Prognosis in Patients with Type A Aortic Dissection.

Aims/Background Previous studies have indicated a strong correlation between disturbances in blood pressure (BP) circadian rhythm and major cardiovascular adverse events. Similarly, blood pressure variability (BPV) has been closely linked to cerebral small vessel disease and leukoaraiosis. This study aims to investigate the relationship between BP rhythm and BPV with the short-term prognosis of patients with Type A aortic dissection, offering insights for targeted perioperative nursing interventions and improving patient outcomes. Methods This retrospective study included patients undergoing surgical treatment for Type A aortic dissection at Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences) from June 2022 to March 2024. The study followed patients from the completion of surgery to 30 days postoperatively, with all-cause mortality within 30 days as the endpoint representing poor short-term prognosis. Clinical data were compared along with: types of BP rhythm; BPV parameters including the mean 24-hour systolic BP (24hSBP), 24-hour diastolic BP (24hDBP), and pulse pressure; and the coefficient of variability (CV) for 24hSBP, 24hDBP, and pulse pressure. Multivariate logistic regression analysis was utilized to identify risk factors for poor short-term outcomes in these patients, and receiver operating characteristic (ROC) curves were plotted to assess the predictive value of BP rhythm types and BPV indicators. Results The study ultimately included 115 participants, with 31 deaths occurring within 30 days post-surgery, resulting in a postoperative mortality rate of 26.96%. The multivariate logistic regression analysis revealed that white blood cell count, neutrophil count, non-dipping BP rhythm, pulse pressure, and the CV for 24hSBP, 24hDBP, and pulse pressure, were significant risk factors for poor short-term prognosis (p < 0.05). The ROC curve analysis demonstrated that non-dipping BP rhythm, pulse pressure, 24hSBP-CV, 24hDBP-CV, and pulse pressure-CV had areas under the curve (AUC) of 0.685, 0.749, 0.751, 0.773, and 0.763, respectively. The combination of these indicators yielded the highest AUC at 0.918. Conclusion A combination of BP rhythm and BPV indicators provides significant predictive value for poor short-term outcomes in patients with Type A aortic dissection. Clinicians and nursing staff can use these features to formulate targeted preventive measures.

Impact of fasting blood glucose on prognosis after acute large vessel occlusion reperfusion: results from a multicenter analysis.

To analyze the effect of fasting blood glucose levels after reperfusion of acute large vessel occlusion (ALVO) on patient functional prognosis. Retrospectively included ALVO patients from three large stroke centers in China, all of whom achieved vascular reperfusion after mechanical thrombectomy or bridging thrombolysis. The prognosis scores of all patients at 90 ± 7 days post-recanalization were categorized into a good prognosis group (mRS 0-2) and a poor prognosis group (mRS 3-6). The relationship between mean blood glucose levels at 72 h post-recanalization and prognosis was explored using multivariable logistic regression analysis. Then we measured the area under the ROC curve for all factors to assess their predictive performance. (1) Totally 2,056 patients were included in the study, with 1,488 males and 568 females. There were 1,370 patients in the good prognosis group (mRS 0-2) and 686 in the poor prognosis group (mRS 3-6). (2) The two groups exhibited significant differences in terms of age, preoperative mRS score, history of diabetes, and mean fasting blood glucose (MFBG) (p < 0.001). (3) With 90-day mRS as the outcome variable, all independent variables were included in Univariate and multivariate regression analyses analysis, and the results showed that: age, preoperative mRS score, history of diabetes, and MFBG are all independent predictors of prognosis after recanalization of ALVO, with MFBG demonstrating a higher predictive power than the other factors (AUC = 0.644). Various factors are correlated with the prognosis in patients who have undergone ALVO recanalization. Notably, the MFBG level demonstrates a significant predictive value for outcomes within the first 72 h following the recanalization procedure.

EVALUATING THE RELATIONSHIP BETWEEN RADIOTHERAPY CLINICAL TARGET VOLUME AND GAIT ACTIVITY IN HIGH GRADE GLIOMA

Abstract AIMS Walking speed or peak cadence serves as a potential indicator of overall health, particularly in older individuals, with documented predictive value for various health-related outcomes. The emergence of wearable technology for gait analysis has facilitated early disease detection and monitoring in conditions like Parkinson’s disease. This study aimed to explore the association between gait metrics and radiotherapy Clinical Target Volume (CTV) in participants with High-Grade Glioma (HGG) enrolled in the BrainWear study, which captures longitudinal physical activity data through wearable devices. METHOD 21 HGG participants provided accelerometer data before and after a course of radiotherapy. Using Spearman rank correlation analysis, we examined the relationship between CTV and gait features while considering the total radiotherapy dose and tumour location. Participant data was cut at the same time point of 14-days either side of the start or end of radiotherapy to ensure the data was aligned. RESULTS The analysis revealed a moderately negative correlation between CTV and peak cadence at the onset of radiotherapy. At the end of radiotherapy and in the two weeks following completion, both peak cadence in 1 minute and 30 minutes showed a stronger inverse correlation with CTV (Spearman’s ρ = -0.52 and ρ = -0.44 respectively, p-value &amp;lt;0.05). This suggests that higher CTV may be associated with decreased peak cadence, particularly at the time of expected radiotherapy toxicity. Subgroup analysis focusing on patients with CTV covering the motor cortex further illustrated a more significant inverse correlation between CTV size and peak cadence (Spearman’s ρ = -0.77, p-value &amp;lt;0.05). CONCLUSION This study highlights the importance of understanding the interplay between tumour treatment volume, location and physical function. Further exploration of CTV volume in relation to anatomical areas such as the motor cortex could provide deeper insights into this relationship and provide opportunities for personalised monitoring in HGG.

Quantification of blood and CSF volume to predict outcome after aneurysmal subarachnoid hemorrhage

This study aimed to describe the relationship between blood and CSF volumes in different compartments on baseline CT after aSAH, assess if they independently predict long-term outcome, and explore their interaction with age. CT scans from patients participating in a prospective multicenter randomized controlled trial of patients with aSAH were segmented for blood and CSF volumes. The primary outcomes were the mRS, and the Subarachnoid Hemorrhage Outcome Tool (SAHOT) at day 28 and 180. Univariate regressions were conducted to identify significant predictors of poor outcomes, followed by principal component analysis to explore correlations between imaging variables and WFNS. A multivariate predictive model was then developed and optimized using stepwise regression. CT scans from 97 patients with a median delay from symptom onset of 271 min (131–547) were analyzed. Univariate analysis showed only WFNS, and total blood volume (TBV) were significant predictors of both short and long-term outcome with WFNS more predictive of mRS and TBV more predictive of SAHOT. Principal component analysis showed strong dependencies between the imaging predictors. Multivariate ordinal regression showed models with WFNS alone were most predictive of day 180 mRS and models with TBV alone were most predictive of SAHOT. TBV was the most significant measured imaging predictor of poor long-term outcome after aSAH. All these imaging predictors are correlated, however, and may have multiple complex interactions necessitating larger datasets to detect if they provide any additional predictive value for long-term outcome.

The Relationship Between Soluble Interleukin-17 Receptor Levels and CD3-Positive T Cells and Lymphocytes in Patients with Sepsis and Their Predictive Clinical Significance.

To assess the relationship between soluble interleukin-17 receptor (sIL-7R) levels and CD3-positive t cells and lymphocytes in patients with sepsis and their predictive clinical significance. The study cohort comprised individuals diagnosed with sepsis based on the Third International Consensus Definitions for Sepsis and Septic Shock, treated in the emergency and critical care medicine departments at Beijing Chuiyangliu Hospital and Baoding No. 1 Central Hospital between December 2020 and June 2022. Patient outcomes were classified based on survival or mortality. Biomarkers, including sIL-7R levels and illness severity scores, were documented. All statistical analyses, including predictive modeling and comparisons were carried out using SPSS v.23.0 software and R software. On the fifth day post-admission, sIL-7R levels significantly decreased in both the survival and death groups, compared with levels on day one (2.09 ± 0.65 vs 1.07 ± 0.53 ng/mL, P < 0.01). There was a significant correlation between the sIL-7R level and the CD3+ T-lymphocyte count (CD3+) (r = 0.44) and lymphocyte count (LYM) (r = 0.42). The combination of the sIL-7R level with the Sequential Organ Failure Assessment (SOFA) score demonstrated optimal predictive value for clinical outcomes in patients with sepsis, demonstrated by an area under the receiver operating characteristic curve of 0.998. sIL-7R levels are correlated with CD3+ and LYM counts. Additionally, the combination of serum sIL-7R level and SOFA score provides a robust method for predicting sepsis outcomes.

Tracking changes in image-defined risk factors during neoadjuvant chemotherapy and their predictive value for surgical outcomes based on the International Neuroblastoma Surgical Report Form.

The capacity of presurgical image-defined risk factors (IDRFs) to predict secondary surgical outcomes in patients with neuroblastoma is controversial. The International Neuroblastoma Surgical Report Form (INSRF) was employed to retrospectively collect the clinical data of 53 patients diagnosed with neuroblastoma at our hospital from April 2014 to April 2020. IDRFs were identified at the time of diagnosis and reassessed during the course of neoadjuvant chemotherapy. Various statistical tests were used to evaluate the correlation between IDRFs and secondary surgical outcomes. A total of 195 IDRFs were identified. Notably, by two courses of neoadjuvant chemotherapy, the number of "two body compartments," "intraspinal tumor extension," and "trachea-compressing" IDRFs decreased significantly (p=.001). The primary tumor volumes and the number of IDRFs decreased significantly by four courses of neoadjuvant chemotherapy, especially in "intraspinal tumor extension" IDRFs (p=.034). The median number of IDRF per patient was four (interquartile range [IQR]: 1-5) at diagnosis, which diminished to one (IQR: 1-3) subsequent to neoadjuvant chemotherapy. The presence of preoperative IDRFs was not associated with surgical complications (p=.286) or the extent of surgery (p=.188). However, the number of preoperative IDRFs linked to the extent of surgery (p=.002), not to operative complications (p=.669). Specifically, presurgery "renal vessel contact" IDRFs were predictive of surgical complications, while presurgery "infiltration of vital structures" IDRFs were associated with the extent of surgery. The number of IDRFs decreased significantly by four courses of neoadjuvant chemotherapy. The number and type of presurgery IDRFs may predict secondary surgical outcomes, surpassing the mere consideration of their presence or absence.

Examining the Long-Term Prognostic Significance of Serum sST2: Influence of Myocardial Infarction History and Subgroup Level Standardization.

In this study, the predictive value of soluble growth stimulation expressed gene 2 protein (sST2) for long-term clinical outcomes in patients with acute heart failure (AHF) is assessed. In addition, the influence of a history of myocardial infarction on the levels of sST2 in patients with HF, as well as its impact on outcome events, is explored. We also aim to establish a specific standard for sST2 levels in this subgroup. We conducted an ambispective cohort study involving hospitalized patients with AHF, measuring their sST2 levels and following their progress over three years. The primary endpoint was major adverse cardiovascular events (MACEs), encompassing heart failure readmission and all-cause mortality over three years. Cox regression analysis was used to evaluate the prognostic significance of sST2 levels, along with a subgroup analysis using propensity score matching (PSM) to adjust for confounding variables. Receiver operating characteristic (ROC) curve analysis was utilized to determine the optimal sST2 threshold using Youden's J statistics, and a sensitivity analysis included Kaplan-Meier survival curves. The study included 149 patients with a median age of 68 years, of whom 57% were male. Both univariate and multivariate Cox regression analyses confirmed sST2 as an independent predictor of MACEs. Post-PSM analysis, 124 samples were grouped by MI history ROC curve analysis revealed an area under the curve of 0.726 for predicting MACEs in patients with MI, demonstrating a significant predictive value for sST2 levels above 34 ng/mL, which correlated with increased readmission and mortality rates. In contrast, sST2 levels in patients without MI history showed no significant predictive relevance. sST2has significant long-term predictive value for clinical outcomes in patients with AHF, particularly for those with a prior MI history, indicating a need for heightened clinical attention and thorough follow-up to mitigate long-term adverse cardiovascular outcomes.

Exploring the Impact of Hemoglobin on Cerebral Blood Flow in Arterial Territories and Surgical Outcomes: Potential Implications for Moyamoya Disease Treatment.

Changes in levels of hemoglobin would result in alterations of cerebral blood flow (CBF). However, the impact of hemoglobin on CBF in moyamoya disease (MMD) remains largely unknown. This study sought to determine whether CBF would be influenced by hemoglobin before surgical revascularization and to analyze the relationships between hemoglobin and CBF with clinical outcome after surgery in patients with MMD. We prospectively enrolled adult patients with MMD undergoing surgical revascularization between June 2020 and December 2022. Preoperative CBF was measured in the territories of anterior, middle, and posterior cerebral arteries (ACA, MCA, and PCA, respectively) using 3-dimensional pseudo-continuous arterial spin labeling magnetic resonance imaging. Clinical outcome at 1 year after surgery was evaluated using the modified Rankin Scale. A total of 60 patients with MMD were included, with 25% (n=15) experiencing unfavorable outcomes. Patients with MMD exhibited lower CBF (ACA: P=0.007; MCA: P<0.001; PCA: P=0.014), compared with healthy controls (n=40). Hemoglobin was negatively and significantly associated with CBF (ACA: β=-0.45, P<0.001; MCA: β=-0.38, P<0.001; PCA: β=-0.54, P<0.001). CBF rather than hemoglobin was significantly related with clinical outcome (ACA: P<0.001; MCA: P<0.001; PCA: P=0.001), and CBF showed high discrimination in predicting clinical outcome (ACA: area under the curve, 0.84; MCA: area under the curve, 0.84; PCA: area under the curve, 0.80). Our findings demonstrate that hemoglobin significantly influences CBF, and CBF has a high predictive value for clinical outcome in MMD. The optimal hemoglobin level before surgical revascularization should be further investigated.

Association of systemic inflammatory markers with clinical adverse prognosis and outcomes in HFpEF: a systematic review and meta-analysis of cohort studies.

To evaluate the association between systemic inflammatory markers and clinical outcomes (all-cause mortality, cardiovascular mortality, and rehospitalization) in patients with heart failure with preserved ejection fraction (HFpEF). We conducted a comprehensive literature search in PubMed, Embase, and Ovid Medline databases from inception to June 27, 2024. Studies were included if they were observational clinical studies involving HFpEF patients over 18 years old, with exposure to systemic inflammatory markers and reporting on adverse prognosis outcomes. The Newcastle-Ottawa Scale (NOS) was used to assess study quality. Eight studies ultimately included in the meta-analysis which involved 9,744 participants from six countries. The meta-analysis showed that systemic inflammatory markers were significantly associated with all-cause mortality (HR 1.43, 95% CI 1.19-1.72, p < 0.05), cardiovascular mortality (HR 2.04, 95% CI 1.33-3.12, p < 0.05), and cardiovascular rehospitalization (HR 2.83, 95% CI 0.92-8.67, p < 0.05) in HFpEF patients. Low heterogeneity was observed across studies (I2 = 0.00%). Sensitivity and publication bias analyses indicated that the results were robust. Systemic inflammatory markers demonstrate significant predictive value for adverse clinical outcomes in HFpEF patients. The findings suggest that monitoring systemic inflammation may provide valuable prognostic information for clinicians managing HFpEF patients. https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=562698, identifier (CRD42024562698).

The association of aromatic amino acids with coronary artery disease and major adverse cardiovascular events in a Chinese population

This study aimed to evaluate the relationship between aromatic amino acids (AAAs), – phenylalanine (Phe), tyrosine (Tyr) and tryptophan (Trp) – and coronary artery disease (CAD) in a prospective study involving 2970 participants undergoing coronary angiography at Beijing Hospital. Serum levels of Phe, Tyr and Trp were analysed. The cross-sectional data revealed that serum Tyr and Trp levels were significantly and inversely associated with CAD. During a median follow-up period of 44 months, 343 major adverse cardiovascular events (MACEs) and 138 all-cause deaths were recorded. MACE included myocardial infarction, stroke, revascularisation and all-cause mortality. Low serum Trp levels predicted an increased risk of MACE and death. High serum Phe levels were linked to an increased risk of MACE, while low Tyr levels were associated with a higher risk of death. Collectively, our findings underscore a close correlation between AAAs and CAD, as well as their potential predictive value for adverse cardiovascular outcomes.

Association between subcortical nuclei volume changes and cognition in preschool-aged children with tetralogy of Fallot after corrective surgery: a cross-sectional study

BackgroundNeurocognitive disorders frequently occur in patients with cyanotic congenital heart disease (CCHD) because of the hemodynamic abnormalities induced by preoperative cardiac structural changes. We aimed to evaluate subcortical nuclei volume changes and cognition in postoperative tetralogy of Fallot (TOF) children, and analyze their relationship with preoperative cardiac structural changes.MethodsThis case-control study involved thirty-six children with repaired TOF and twenty-nine healthy controls (HCs). We utilized three-dimensional (3D) T1-weighted high-resolution structural images alongside the Wechsler Preschool and Primary Scale of Intelligence-Fourth Edition (WPPSI-IV) to evaluate the cognitive differences between the TOF and HC group.ResultsWe observed notable differences in subcortical nuclei volume between the TOF and HC group, specifically in the left amygdala nucleus (LAM, TOF: 1292.60 ± 155.57; HC: 1436.27 ± 140.62, p < 0.001), left thalamus proper nucleus (LTHA, TOF: 6771.54 ± 666.03; HC: 7435.36 ± 532.84, p < 0.001), and right thalamus proper nucleus (RTHA, TOF: 6514.61 ± 715.23; HC: 7162.94 ± 554.60, p < 0.001). Furthermore, a diminished integrity of LAM ( β:-19.828, 95% CI: -36.462, -3.193), which showed an inverse relationship with the size of the preoperative ventricular septal defect (VSD), correlated with lower working memory indices in children with TOF.ConclusionsOur findings indicate that subcortical nuclei structural injuries possibly potentially stemming from cardiac anatomical abnormalities, are associated with impaired working memory in preschool-aged children with TOF. The LAM in particular may serve as a potential biomarker for neurocognitive deficits in TOF, offering predictive value for future neurodevelopmental outcomes, and shedding light on the neurophysiological mechanisms of these cognitive impairments.

High-sensitivity C-reactive protein to high-density lipoprotein cholesterol ratio predicts long-term adverse outcomes in patients who underwent percutaneous coronary intervention: A prospective cohort study.

High-sensitivity C-reactive protein (hsCRP) to high-density lipoprotein cholesterol (HDL-C) ratio (CHR) is associated with coronary artery disease (CAD), but its predictive value for long-term adverse outcomes in patients with CAD following percutaneous coronary intervention (PCI) remains unexplored and is the subject of this study. Patients with CAD who underwent PCI at the Korea University Guro Hospital-Percutaneous Coronary Intervention (KUGH-PCI) Registry since 2004 were included. Patients were categorized into tertiles according to their CHR. The end points were all-cause mortality (ACM), cardiac mortality (CM) and major adverse cardiac events (MACEs). Kaplan-Meier analysis, multivariate Cox regression, restricted cubic spline (RCS) and sensitivity analyses were performed. A total of 3260 patients were included and divided into Group 1 (CHR <0.830, N = 1089), Group 2 (CHR = 0.830-3.782, N = 1085) and Group 3 (CHR >3.782, N = 1086). Higher CHR tertiles were associated with progressively greater risks of ACM, CM and MACEs (log-rank, p < 0.001). Multivariate Cox regression showed that patients in the highest tertile had greater risks of ACM (HR: 2.127 [1.452-3.117]), CM (HR: 3.575 [1.938-6.593]) and MACEs (HR: 1.337 [1.089-1.641]) than those in the lowest tertile. RCS analyses did not reveal a significant non-linear relationship between CHR and ACM, CM or MACEs. The significant associations remained significant in the sensitivity analyses, RCS analyses with or without extreme values, subgroup analyses and multiple imputations for missing data. Elevated CHR is a novel, independent risk factor for long-term ACM, CM and MACEs in CAD patients following PCI.

Evaluating the Clinical Utility of Left Ventricular Strains in Severe AS: A Pilot Study with Feature-Tracking Cardiac Magnetic Resonance.

Background: Aortic valve stenosis (AS) is the most common degenerative valvular heart disease, significantly impacting the outcome. Current guidelines recommend valve replacement only for symptomatic patients, but advanced cardiovascular imaging, particularly cardiac magnetic resonance (CMR), may refine these recommendations. Feature-tracking CMR (FT-CMR) effectively assesses left ventricular (LV) strain and shows promise in predicting major adverse cardiovascular events (MACEs), though data on AS are limited. This study explored the role of CMR-derived LV strain in predicting MACEs occurrence in patients with severe AS. Method: We prospectively assessed 84 patients with severe AS and 84 matched controls. Global longitudinal (GLS), circumferential (GCS), and radial strain (GRS) were evaluated using FT-CMR. A composite endpoint-cardiac death, ventricular tachyarrhythmias, and heart failure hospitalization-was analyzed over a median follow-up of 31 months. Results: GLS was considerably reduced in AS patients (-15.8% vs. -19.7%, p < 0.001) and significantly predicted MACEs (HR = 1.24, p = 0.002) after adjusting for LVEF, 6 min walk distance, native T1, and late gadolinium enhancement. This underscores GLS's unique and robust predictive capability for MACEs in severe AS patients. Kaplan-Meier curves and ROC analysis both showed that GLS had the highest predictive performance for MACEs, with an AUC of 0.857. Conclusions: GLS provided independent incremental predictive value for outcome.

The Value of Systemic Inflammatory Indices for Predicting Early Postoperative Complications in Colorectal Cancer.

Background and Objectives: Systemic inflammatory indices have been largely investigated for their potential predictive value in multiple inflammatory, infectious, and oncological diseases; however, their value in colorectal cancer is still a subject of research. This study investigates the dynamics of pre- and postoperative values of NLR, PLR, SII, and MLR in patients with colorectal cancer and their predictive value for early postoperative outcomes. Materials and Methods: A 2-year retrospective cohort study was performed on 200 patients operated for colorectal adenocarcinoma. Systemic inflammatory indices were calculated based on complete blood count preoperatively and on the first and sixth postoperative days. The patients were divided into two groups based on their emergency or elective presentation. The pre- and postoperative values of serum inflammatory biomarkers and their correlations with postoperative outcomes were separately analyzed for the two study subgroups. Results: There were no significant differences in sex distribution, addressability, associated comorbidities, or types of surgery between the two groups. Patients in the emergency group presented higher preoperative and postoperative values of WBC, neutrophils, NLR, and SII compared to elective patients. The postsurgery hospital stays correlated well with pre- and postoperative day one and day six values of NLR (p = 0.001; 0.02; and <0.001), PLR (p < 0.001), SII (p = 0.037; <0.001; <0.001), and MLR (p = 0.002; p = 0.002; <0.001). In a multivariate analysis, reintervention risk was higher for emergency presentation and anemia, and lower in right colon cancer. In the emergency group, a multivariate model including age, MLR PO1, and pTNM stage was predictive for severe postoperative complications (AUC ROC 0.818). First-day postoperative inflammatory indices correlated well with sepsis, with the best predictive value being observed for the first postoperative day NLR (AUC 0.836; sensibility 88.8%; specificity 66.7%) and SII (AUC 0.796; sensitivity 66.6%; specificity 90%). For elective patients, the first postoperative day PLR and anemia were included in a multivariate model to predict Clavien-Dindo complications graded 3 or more (AUC ROC 0.818) and reintervention (AUC ROC 0.796). Conclusions: Easy-to-calculate and inexpensive systemic inflammatory biomarkers could be useful in predicting early postoperative outcomes in colorectal cancer for both elective and emergency surgery.