Predictors Of Recurrence Research Articles

Pattern and extent of intrahepatic infiltration of perihilar cholangiocarcinoma - A case-control study based on liver panoramic digital pathology.

The extent of intrahepatic infiltration of perihilar cholangiocarcinoma (PHCC) remains unclear. This research aimed to explore the pattern and extent of intrahepatic infiltration of PHCC to guide surgical treatment and pathological research. This study included 62 patients diagnosed with PHCC who underwent major hepatectomy. A whole-mount digital liver pathology system (WDLPS) for hepatectomy specimens greater than 10 × 10cm was used to panoramically assess the intrahepatic infiltration extent of PHCC. The distal intrahepatic infiltration (DIHI) and radial liver invasion (RLI) were important parts of intrahepatic infiltration for PHCC explored by WDLPS. The study confirmed that 75.8% of PHCCs had RLI and the infiltration distance in all patients were within 15,000 µm, 62.9% of PHCCs had DIHI greater than 1cm away from the main tumor in liver parenchyma. The recurrence-free survival rates and overall survival rates of patients with DIHI were poorer than the patients without DIHI (P＜0.0001, P=0.0038). Arterial invasion on the resected side could be an excellent predictor. A total of 105 liver lobes were resected from 62 PHCC patients. The invasion rates of the left lateral, left medial, right anterior, and right posterior lobe of PHCC were 79%, 100, 100%, and 69% respectively. The presence of DIHI in most PHCCs was a significant predictor of poor postoperative recurrence and survival. Based on the extent of intrahepatic infiltration, minor hepatectomy was not suitable as the curative surgery for PHCC. Major hepatectomy and liver transplantation were the ideal radical treatment.

M2BPGi Correlated with Immunological Biomarkers and Further Stratified Recurrence Risk in Patients with Hepatocellular Carcinoma

Introduction Novel biomarkers reflecting liver fibrosis and the immune microenvironment may correlate with the risk of hepatocellular carcinoma (HCC) recurrence. This study aimed to evaluate the prognostic value of serum biomarkers in predicting HCC recurrence. Methods Serum biomarkers, including M2BPGi, IL-6, IL-10, CCL5, VEGF-A, soluble PD-1, PD-L1, TIM-3, and LAG-3, were measured in 247 patients with HCC undergoing surgical resection. Factors associated with recurrence-free survival (RFS) and overall survival (OS) were evaluated. The ERASL-post model and IMbrave050 criteria were used to define HCC recurrence risk groups. Results Serum M2BPGi levels significantly correlated with FIB-4 score, APRI, ALBI score, AFP, ALT, AST, IL-10, CCL5, VEGF-A, soluble PD-1, PD-L1, TIM-3, and LAG-3 levels. M2BPGi, VEGF-A, soluble PD-1, and TIM-3 levels significantly correlated with RFS. In multivariate analysis, M2BPGi >1.5 COI (hazard ratio (HR) = 2.100, p < 0.001), tumor size >5 cm (HR = 1.859, p = 0.002), multiple tumors (HR = 2.562, p < 0.001), AFP >20 ng/mL (HR = 2.141, p < 0.001), and microvascular invasion (HR = 1.954, p = 0.004) were independent predictors of RFS. M2BPGi levels significantly stratified the recurrence risk in ERASL-post and IMbrave050 risk groups. An M2BPGi-based model could significantly discriminate RFS in the overall cohort as well as in the IMbrave050 low- and high-risk groups. M2BPGi >1.5 COI was also an independent predictor of OS after resection (HR = 2.707, p < 0.001). Conclusion Serum M2BPGi levels significantly correlated with surrogate markers of liver fibrosis, liver function, and immunology. M2BPGi is a significant predictor of HCC recurrence and survival after resection and could be incorporated into recurrence-prediction models.

Long-term outcomes of catheter ablation for atrial fibrillation in octogenarians.

Catheter ablation is superior to pharmacological therapy in controlling atrial fibrillation (AF). There are few data on the long-term outcome of AF ablation in octogenarian patients. This analysis aims to evaluate the outcome of AF ablation in octogenarians vs. younger patients. In this retrospective study in 13 centres in the UK, France, and Switzerland, the long-term outcomes of 473 consecutive octogenarian patients undergoing ablation for AF were compared to 473 matched younger controls (median age 81.3 [80.0, 83.0] vs. 64.4 [56.5, 70.7] years, 54.3% vs. 35.1% females; p-value for both < 0.001). The primary endpoint was the recurrence of atrial arrhythmia after a blanking period of 90days within 365days of follow-up. Acute ablation success as defined as isolation of all pulmonary veins was achieved in 97% of octogenarians. Octogenarians experienced more procedural complications (11.4% vs 7.0%, p = 0.018). The median follow-up time was 281 [106, 365] days vs. 354 [220, 365] days for octogenarians vs. non-octogenarians (p < 0.001). Among octogenarians, 27.7% (131 patients) experienced a recurrence of atrial arrhythmia, in contrast to 23.5% (111 patients) in the younger group (odds ratio 1.49; 95% confidence interval 1.16-1.92; p = 0.002). In a multivariable regression model including gender, previous AF ablation, vascular disease, chronic kidney disease, CHA2DS2-VASc score, left atrial dilatation, and indwelling cardiac implantable electronic device, age above 80 remained an independent predictor of recurrence of arrhythmia. Ablation for AF is effective in octogenarians, but is associated with slightly higher procedural complication rate and recurrence of atrial arrhythmia than in younger patients.

Diffusion–based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy

BackgroundTo explore the capability of diffusion-based virtual MR elastography (vMRE) in the preoperative prediction of recurrence in hepatocellular carcinoma (HCC) and to investigate the underlying relevant histopathological characteristics.MethodsBetween August 2015 and December 2016, patients underwent preoperative MRI examination with a dedicated DWI sequence (b-values: 200,1500 s/mm2) were recruited. The ADC values and diffusion-based virtual shear modulus (μdiff) of HCCs were calculated and MR morphological features were also analyzed. The Cox proportional hazards model was used to identify the risk factors associated with tumor recurrence. A preoperative radiologic model and postoperative model including pathological features were built to predict tumor recurrence after hepatectomy.ResultsA total of 87 patients with solitary surgically confirmed HCCs were included in this study. Thirty-five patients (40.2%) were found to have tumor recurrence after hepatectomy. The preoperative model included higher μdiff and corona enhancement, while the postoperative model included higher μdiff, microvascular invasion, and histologic tumor grade. These factors were identified as significant prognostic factors for recurrence-free survival (RFS) (all p < 0.05). The HCC patients with μdiff values > 2.325 kPa showed poorer 5-year RFS after hepatectomy than patients with μdiff values ≤ 2.325 kPa (p < 0.001). Moreover, the higher μdiff values was correlated with the expression of CK19 (3.95 ± 2.37 vs. 3.15 ± 1.77, p = 0.017) and high Ki-67 labeling index (4.22 ± 1.63 vs. 2.72 ± 2.12, p = 0.001).ConclusionsThe μdiff values related to the expression of CK19 and Ki-67 labeling index potentially predict RFS after hepatectomy in HCC patients.

The observational EURACAN prospective clinical registry dedicated to epithelioid hemangioendothelioma: The protocol of an international and collaborative effort on an ultra-rare entity.

Epithelioid hemangioendothelioma (EHE) is an ultra-rare sarcoma, marked by distinctive molecular and pathological features and with a variable clinical behavior. Its natural history is still partially understood, reliable prognostic and predictive factors are lacking and many questions are still open on the optimal management. In the context of EURACAN, a prospective registry specifically dedicated to EHE was developed and launched with the aim of providing, through high-quality prospective data collection, a better understanding of this disease. Registry-based cohort study including only new cases of patients with a pathological and molecularly confirmed diagnosis of EHE. To improve the understanding of EHE natural history, validate and identify new prognostic and predictive factors, clarify the activity and efficacy of currently available treatment options, describe treatment pattern. Settings and participantsIt is an hospital-based registry established in centers with expertise in EHE including adult patients with a new pathological and molecularly confirmed diagnosis of EHE starting from the 1st December 2023. The characteristics of each patient in the facility who meets the above-mentioned inclusion criteria will be collected prospectively and longitudinally with follow-up at cancer progression and / or cancer relapse or patient death. It is a secondary use of data which will be collected from the clinical records. The data collected for the registry will not entail further examinations or admissions to the facility and/or additional appointments to those normally provided for routine patient follow-up. VariablesFull details on patients and disease features, treatment and outcome will be collected, according to common clinical practice guidelines developed and shared with all the contributing centers. In addition, data on potential confounders (e.g. comorbidity; functional status etc.) will also be collected. Statistical methodsThe data analyses will include descriptive statistics and analytical analyses. Multivariable Cox's proportional hazards model and Hazard ratios (HR) for all-cause or cause-specific mortality will be used to determine independent predictors of overall survival, recurrence and progression. The registry has been joined by 21 sarcoma reference centers across EU and UK, covering 10 countries. Patients' recruitment started in December 2023. The estimated completion date is December 2033 upon agreement on the achievement of all the registry objectives. The already established collaboration and participation of EHE patient's associations involved in the project will help in promoting the registry and fostering accrual.

Characteristics of Abdominal Fat Based on CT Measurements to Predict Early Recurrence After Initial Surgery of NMIBC in Stage Ta/T1

IntroductionThis study aimed to assess the predictive value of abdominal fat characteristics measured by computed tomography (CT) in identifying early recurrence within one year post-initial transurethral resection of bladder tumor (TURBT) in patients with nonmuscle-invasive bladder cancer (NMIBC). A predictive model integrating fat features and clinical factors was developed to guide individualized treatment. Materials and MethodsA retrospective analysis of 203 NMIBC patients from two medical centers was conducted. Abdominal CT images were analyzed using 3D Slicer software. Spearman correlation, logistic regression, and the Lasso algorithm were employed for data analysis. Predictive efficacy was assessed using the area under the curve (AUC) of receiver operating characteristic (ROC) and decision curve analysis (DCA). Calibration was evaluated using the Hosmer-Lemeshow test. ResultsSignificant differences in abdominal fat characteristics were found between the recurrence and nonrecurrence groups. All fat features positively correlated with body mass index (BMI), with bilateral perirenal fat thickness (PrFT) showing superior predictive performance. Multivariate logistic regression identified independent predictors of early recurrence, including tumor number, early perfusion chemotherapy, left and right PrFT, and visceral fat area (VFA) at umbilical and renal hilum levels. The Lasso-based model achieved an AUC of 0.904, outperforming existing models. ConclusionAbdominal fat characteristics, especially bilateral PrFT, strongly correlate with early recurrence in NMIBC. The Lasso-based model, integrating fat and clinical factors, offers superior predictive efficacy and could improve individualized treatment strategies.

Predictors of distant metastatic recurrence in head and neck cutaneous squamous cell carcinoma with lymph node metastases treated with curative intent: A multicenter study.

We aimed to identify predictors of distant metastatic recurrence (DMR) in patients with head and neck cutaneous squamous cell carcinoma (HNcSCC) with nodal metastases treated with curative intent. Predictors of DMR were identified using Cox regression in a multicenter study of 1151 patients. The 5-year risk of DMR was 9.6%. On multivariate analysis, immunosuppression (HR 2.93; 95% CI: 1.70-5.05; p < 0.001), nodal size >6 cm [versus ≤3 cm (HR 2.77; 95% CI: 1.09-7.03; p = 0.032)], ≥5 nodal metastases [versus 1-2 (HR 2.79; 95% CI: 1.63-4.78; p < 0.001)], and bilateral disease (HR 3.11; 95% CI: 1.40-6.90; p = 0.005) predicted DMR. A DMR risk score was developed that stratified risk from 6.6% (no risk factors) to 100% (≥3 risk factors) (p < 0.001). The risk of DMR in nodal metastatic HNcSCC increases with immunosuppression, nodal size >6 cm, ≥5 nodal metastases, and bilateral disease. A simple DMR risk score estimated prior to treatment may be clinically useful.

The Efficacy of Medical Interventions for Free-Floating Thrombus in Cerebrovascular Events: A Systematic Review.

Although free-floating thrombus (FFT) poses a significant risk of stroke or transient ischemic attack (TIA), optimal management strategies are uncertain. To determine the state-of-the-art of medical interventions for FFT, we conducted a systematic review of the efficacy of various medical interventions and factors influencing FFT resolution and recurrence. A comprehensive search of Embase, PubMed, and ScienceDirect identified 61 studies encompassing 179 patients with FFT-related stroke or TIA treated with anticoagulants, antiplatelets, or their combinations. Primary outcomes assessed were stroke recurrence and thrombus resolution. Statistical analyses (Fisher's exact test, chi-square test, Mann-Whitney test, and Kruskal-Wallis test) utilized significance set at p < 0.05. Over a median follow-up of 7 months, thrombus resolution occurred in 65% of patients, while 11.2% experienced recurrence, primarily as TIAs. Cardioembolism was significantly less common in resolved cases (p = 0.025). Combination therapy (antiplatelets, anticoagulants, and statins) significantly enhanced clot resolution (OR 11.4; 95% CI 1.436-91.91; p = 0.021) compared to monotherapies. Ulcerated plaque was a significant predictor of recurrence (OR 8.2; 95% CI 1.02-66.07; p = 0.048). These findings underscore the superiority of combination therapy in FFT management and highlight the need for targeted interventions in patients with ulcerated plaques to mitigate recurrence risk.

Early versus Late Radiofrequency Catheter Ablation in Atrial Fibrillation: Timing Matters.

Background: Despite the progressive course of atrial fibrillation (AF), the optimal timing of radiofrequency catheter ablation (RFCA) during disease course is still unknown. We aimed to investigate the impact of early RFCA within a year after AF diagnosis on procedural outcomes. Methods: A single-center retrospective study was conducted on symptomatic AF patients (n = 130) referred for RFCA with a 16-month median follow-up. Patients were stratified based on the diagnosis-to-ablation time (DAT) into early (≤1 year) and late (>1 year) RFCA groups. Atrial arrhythmia recurrence after single RFCA was the primary outcome. Secondary outcomes included cardiovascular hospitalizations, AF progression, and antiarrhythmic drug (AAD) use. Results: Within a year of AF diagnosis, 33 patients (25.4%) underwent RFCA. In the early-RFCA group, 84.4% of patients did not have recurrent atrial arrhythmia, in contrast to 60.8% in the late-RFCA group (p = 0.039). Late RFCA (HR = 2.74, 95% CI = 1.062-7.052, p = 0.037) and AF recurrence during the blanking period (HR = 4.57, 95% CI = 2.38-8.57, p < 0.0001) were independent predictors of atrial arrhythmia recurrence on multivariate analysis. Compared to the late-RFCA group, the early-RFCA group had significantly lower rates of cardiovascular hospitalizations (18% vs. 42%, p = 0.023), AF progression (0.0% vs. 11.3%, p = 0.044), and AAD use (45.4% vs. 81.4%, p < 0.001). Conclusions: Early RFCA within a year of AF diagnosis is associated with less atrial arrhythmia recurrence, fewer cardiovascular hospitalizations, less AF progression, and less AAD use. DAT of more than one year and AF recurrence during the blanking period are independent predictors of atrial arrhythmia recurrence after single RFCA.

Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation

BackgroundDespite improvement in treatment strategies for atrial fibrillation (AF), a significant proportion of patients still experience recurrence after ablation. This study aims to propose a novel algorithm based on Transformer using surface electrocardiogram (ECG) signals and clinical features can predict AF recurrence.MethodsBetween October 2018 to December 2021, patients who underwent index radiofrequency ablation for AF with at least one standard 10-second surface ECG during sinus rhythm were enrolled. An end-to-end deep learning framework based on Transformer and a fusion module was used to predict AF recurrence using ECG and clinical features. Model performance was evaluated using areas under the receiver operating characteristic curve (AUROC), sensitivity, specificity, accuracy and F1-score.ResultsA total of 920 patients (median age 61 [IQR 14] years, 66.3% male) were included. After a median follow-up of 24 months, 253 patients (27.5%) experienced AF recurrence. A single deep learning enabled ECG signals identified AF recurrence with an AUROC of 0.769, sensitivity of 75.5%, specificity of 61.1%, F1 score of 55.6% and overall accuracy of 65.2%. Combining ECG signals and clinical features increased the AUROC to 0.899, sensitivity to 81.1%, specificity to 81.7%, F1 score to 71.7%, and overall accuracy to 81.5%.ConclusionsThe Transformer algorithm demonstrated excellent performance in predicting AF recurrence. Integrating ECG and clinical features enhanced the models’ performance and may help identify patients at low risk for AF recurrence after index ablation.

The effect of non-insulin-based insulin resistance indices on the prediction of recurrence in patients with atrial fibrillation undergoing radiofrequency catheter ablation

BackgroundAtrial fibrillation (AF) is acknowledged as a disease continuum. Despite catheter ablation being recommended as a primary therapy for AF, the high recurrence rates have tempered the initial enthusiasm. Insulin resistance (IR) has been established as an independent predictor for the onset of AF. However, the correlation between non-insulin-based IR indices and late AF recurrence in patients undergoing radiofrequency catheter ablation remains unknown.MethodsA retrospective cohort of 910 AF patients who underwent radiofrequency catheter ablation was included in the analysis. The primary endpoint was late AF recurrence during the follow-up period after a defined blank period. The relationship between non-insulin-based IR indices and the primary endpoint was assessed using multivariate Cox hazards regression models and restricted cubic splines (RCS). Additionally, the net reclassification improvement and integrated discrimination improvement index were calculated to further evaluate the additional predictive value of the four IR indices beyond established risk factors for the primary outcome.ResultsDuring a median follow-up period of 12.00 months, 189 patients (20.77%) experienced late AF recurrence, which was more prevalent among patients with higher levels of IR. The multivariate Cox hazards regression analysis revealed a significant association between these IR indices and late AF recurrence. Among the four indices, METS-IR provided the most significant incremental effect on the basic model for predicting late AF recurrence. Multivariable-adjusted RCS curves illustrated a nonlinear correlation between METS-IR and late AF recurrence. In subgroup analysis, METS-IR exhibited a significant correlation with late AF recurrence in patients with diabetes mellitus (HR: 1.697, 95% CI 1.397 − 2.063, P < 0.001).ConclusionAll the four non-insulin-based IR indices were significantly associated with late AF recurrence in patients undergoing radiofrequency catheter ablation. Addressing IR could potentially serve as a viable strategy for reducing the late AF recurrence rate.

Impact of HCV eradication on recurrence pattern and long-term outcomes in patients with HCV-related hepatocellular carcinoma undergoing radiofrequency ablation.

The benefits of HCV eradication on distinct recurrence patterns and long-term hepatic outcomes in patients with hepatocellular carcinoma (HCC) undergoing radiofrequency ablation (RFA) remain uncertain. This study aims to assess the impact of HCV eradication on HCC recurrence patterns and long-term hepatic outcomes after RFA and to identify predictors of recurrence in patients achieving sustained virological response (SVR). We retrospectively enrolled 274 patients receiving RFA for HCV-related HCC, including 73 and 88 patients treated with interferon-based (IFN) and direct-acting antivirals (DAA) therapy, respectively. We analysed factors associated with local tumour progression (LTP), distant recurrence, overall survival, and hepatic decompensation. SVR was achieved in 49.3% of patients undergoing IFN therapy and 93.2% of patients undergoing DAA therapy. HCV eradication was not associated with LTP but significantly correlated with reduced risk of distant recurrence (by DAA: hazard ratio (HR) = 0.449, p = 0.006), overall survival (by IFN: HR = 0.242, p < 0.001; by DAA: HR = 0.274, p < 0.001) and hepatic decompensation (by IFN: HR = 0.313, p = 0.004; by DAA: HR = 0.281, p < 0.001). The benefits of achieving SVR in terms of overall survival and hepatic decompensation remained significant in subgroups of patients with and without recurrence. Patients with SVR showed a significant decline in FIB-4 score and a higher proportion of ALBI grade improvement. Among SVR patients, the IMbrave050 criteria predicted LTP but not distant recurrence, whereas the FIB-4 score after SVR, rather than the baseline FIB-4, predicted distant recurrence. HCV eradication was associated with a significant reduction in distant recurrence, mortality and hepatic decompensation following RFA in patients with HCV-related HCC.

Impact of Preoperative Osteosarcopenia and Postoperative Administration of Pancrelipase on the Prognosis of Borderline Resectable and Unresectable Locally Advanced Pancreatic Cancer.

This study aimed to identify postoperative recurrence and prognostic factors, including osteosarcopenia for borderline resectable (BR) and unresectable locally advanced (UR-LA) pancreatic cancer and to examine the impact of postoperative pancreatic enzyme replacement therapy (PERT). We retrospectively examined 32 resected patients with BR and UR-LA pancreatic cancer. We investigated independent factors in the disease-free survival and overall survival. The relation of osteosarcopenia with the clinicopathological factors was investigated. Additionally, the association of the administration of a standard dose of pancrelipase, the amount of lipase required for patients with pancreatic exocrine insufficiency, for ≥6months postoperatively with improvement of sarcopenia, osteopenia, and osteosarcopenia and completion rate of adjuvant chemotherapy was investigated. Multivariate analyses identified osteosarcopenia (P = 0.049) and lymph node metastasis (P = 0.01) as independent recurrence predictors, and osteosarcopenia (P = 0.002), maximum tumor diameter ≥40mm (P = 0.006), and no adjuvant therapy (P = 0.01) as independent prognostic predictors. In the osteosarcopenia group, serum CA19-9 levels were higher (P = 0.03). The administration of a standard dose of pancrelipase for ≥6months postoperatively was none in the osteosarcopenia group (0% vs 42.9%, P = 0.01), while significantly improved postoperative sarcopenia (33% vs 0%, P = 0.004), increased number of cycles of adjuvant chemotherapy (n = 6 vs n = 3, P = 0.03), and the completion rate of adjuvant chemotherapy in excluding cases interrupted because of recurrence (86% vs 25%, P = 0.007). Osteosarcopenia was an independent recurrent and prognostic factor in patients after pancreatectomy for locally advanced pancreatic cancer. Appropriate postoperative PERT may contribute to a better prognosis by improving sarcopenia and increasing the completion rate of adjuvant chemotherapy.

Histopathologic predictors of recurrence and survival in early T stage oral tongue squamous cell carcinoma.

Recurrence and survival in early T-stage oral tongue squamous cell carcinoma (OTSCC) may be impacted by histopathologic risk factors. This study aims to examine which of these factors predict long-term outcomes of T1 and T2 OTSCC. A retrospective review of T1 and T2 OTSCC patients treated with surgery at a single tertiary care center was conducted. Multivariate regression and Kaplan-Meier survival plots were used to identify predictors of recurrence and compare disease-free survival respectively. 100 consecutive patients were studied. Of these, 51 were staged pT1, 49 pT2, 69 pN0, 10 pN1, and 21 pN2. Multivariate regression analysis revealed that >4 nodes was the strongest predictor of overall recurrence [odds ratio 1.68 (1.23-2.28), p = 0.001], while >4 nodes [odds ratio 1.14 (1.09-1.85), p = 0.008] and pT2 [odds ratio 1.15 (1.01-1.30), p = 0.033] were predictors of local recurrence (R2 = 0.112). Five-year disease-free survival was not significantly impacted by any risk factors except for the number of positive nodes-86% for ≤4 nodes vs. 20% for >4 nodes (p < 0.001)-and pathologic T-stage-90% for pT1 vs. 75% for pT2 (p = 0.035) regardless of adjuvant radiation and/or chemotherapy use. Patients who underwent adjuvant radiation and/or chemotherapy had similar survival to those who did not despite having worse overall tumor prognostic factors. Adding adjuvant therapy may equalize some high-risk histopathologic factors. In the highest risk patients-specifically those with pathologic >4 nodes and pT2 staging-adjuvant therapy should be considered.

Relationships between biatrial substrate and recurrence after radiofrequency ablation in patients with persistent atrial fibrillation.

Global longitudinal strain (GLS) and atrial voltage are acknowledged markers for worse rhythm outcome after ablation of persistent atrial fibrillation (PeAF). The majority of research efforts have been directed towards the left atrium (LA), with relatively fewer studies focusing on the right atrium (RA). The aim of this study was to investigate the effect of the biatrial substrate on the outcome following radiofrequency catheter ablation (RFCA). All patients underwent two-dimensional speckle tracking echocardiography (2D-STE) and high-density mapping (HDM) on LA and RA in preoperative and postoperative stages of RFCA. Atrial substrate was assessed by GLS, average voltage, and low voltage zone (LVZ). This retrospective study enrolled 48 patients. With a follow-up of 385.98±161.78days, 22.92% (11/48) of all patients had AF recurrence and 63.64% in low strain group. Left atrial-low voltage zone (LA-LVZ) prior to RFCA was 67.52±15.27% and 54.21±20.07%, respectively, in the recurrence group and non-recurrence group. Multivariate regression analysis showed that preoperative LA-GLS (OR 0.047, 95%CI 0.002-0.941, p=.046) was independent predictors of AF recurrence. Biatrial average voltage in preoperative and postoperative stages were positively correlated (preoperative: r=0.563 p<.001; postoperative: r=0.464 p=.002). There was no significant difference in the proportion of RA in the recurrence group except the septum in preoperative and postoperative stages. Low LA-GLS and high LA-LVZ may be predictors of RFCA recurrence in PeAF patients. Biatrial average voltage were positively correlated in preoperative and postoperative stages.

Intraindividual comparison of prognostic imaging features of HCCs between MRIs with extracellular and hepatobiliary contrast agents.

Accumulating evidence suggests that certain imaging features of hepatocellular carcinoma (HCC) may have prognostic implications. This study aimed to intraindividually compare MRIs with extracellular contrast agent (ECA-MRI) and hepatobiliary agent (HBA-MRI) for prognostic imaging features of HCC and to compare the prediction of microvascular invasion (MVI) and early recurrence between the two MRIs. The present study included 102 prospectively enrolled at-risk patients (median age, 61.0 years; 83 men) with surgically resected single HCC with both preoperative ECA-MRI and HBA-MRI between July 2019 and June 2023. The McNemar test was used to compare each prognostic imaging feature between the two MRIs. Significant imaging features associated with MVI were identified by multivariable logistic regression analysis, and early recurrence rates (<2 years) were compared between the two MRIs. The frequencies of prognostic imaging features were not significantly different between the two MRIs (p = .07 to >.99). Non-smooth tumour margin (ECA-MRI, odds ratio [OR] = 5.30; HBA-MRI, OR = 7.07) and peritumoral arterial phase hyperenhancement (ECA-MRI, OR = 4.26; HBA-MRI, OR = 4.43) were independent factors significantly associated with MVI on both MRIs. Two-trait predictor of venous invasion (presence of internal arteries and absence of hypoattenuating halo) on ECA-MRI (OR = 11.24) and peritumoral HBP hypointensity on HBA-MRI (OR = 20.42) were other predictors of MVI. Early recurrence rates of any two or more significant imaging features (49.8% on ECA-MRI vs 51.3% on HBA-MRI, p = .75) were not significantly different between the two MRIs. Prognostic imaging features of HCC may be comparable between ECA-MRI and HBA-MRI.

Establishment of a nomogram model for predicting therapy complications in patients with polycythemia and deep venous thrombosis.

Patients with deep venous thrombosis (DVT) residing at high altitudes can only rely on anticoagulation therapy, missing the optimal window for surgery or thrombolysis. Concurrently, under these conditions, patient outcomes can be easily complicated by high-altitude polycythemia (HAPC), which increases the difficulty of treatment and the risk of recurrent thrombosis. To prevent reaching this point, effective screening and targeted interventions are crucial. Thus, this study analyzes and provides a reference for the clinical prediction of thrombosis recurrence in patients with lower-extremity DVT combined with HAPC. To apply the nomogram model in the evaluation of complications in patients with HAPC and DVT who underwent anticoagulation therapy. A total of 123 patients with HAPC complicated by lower-extremity DVT were followed up for 6-12 months and divided into recurrence and non-recurrence groups according to whether they experienced recurrence of lower-extremity DVT. Clinical data and laboratory indices were compared between the groups to determine the influencing factors of thrombosis recurrence in patients with lower-extremity DVT and HAPC. This study aimed to establish and verify the value of a nomogram model for predicting the risk of thrombus recurrence. Logistic regression analysis showed that age, immobilization during follow-up, medication compliance, compliance with wearing elastic stockings, and peripheral blood D-dimer and fibrin degradation product levels were indepen-dent risk factors for thrombosis recurrence in patients with HAPC complicated by DVT. A Hosmer-Lemeshow goodness-of-fit test demonstrated that the nomogram model established based on the results of multivariate logistic regression analysis was effective in predicting the risk of thrombosis recurrence in patients with lower-extremity DVT complicated by HAPC (χ 2 = 0.873; P > 0.05). The consistency index of the model was 0.802 (95%CI: 0.799-0.997), indicating its good accuracy and discrimination. The column chart model for the personalized prediction of thrombotic recurrence risk has good application value in predicting thrombotic recurrence in patients with lower-limb DVT combined with HAPC after discharge.

Systematic review of methods used in prediction models with recurrent event data

BackgroundPatients who suffer from chronic conditions or diseases are susceptible to experiencing repeated events of the same type (e.g. seizures), termed ‘recurrent events’. Prediction models can be used to predict the risk of recurrence so that intervention or management can be tailored accordingly, but statistical methodology can vary. The objective of this systematic review was to identify and describe statistical approaches that have been applied for the development and validation of multivariable prediction models with recurrent event data. A secondary objective was to informally assess the characteristics and quality of analysis approaches used in the development and validation of prediction models of recurrent event data.MethodsSearches were run in MEDLINE using a search strategy in 2019 which included index terms and phrases related to recurrent events and prediction models. For studies to be included in the review they must have developed or validated a multivariable clinical prediction model for recurrent event outcome data, specifically modelling the recurrent events and the timing between them.The statistical analysis methods used to analyse the recurrent event data in the clinical prediction model were extracted to answer the primary aim of the systematic review. In addition, items such as the event rate as well as any discrimination and calibration statistics that were used to assess the model performance were extracted for the secondary aim of the review.ResultsA total of 855 publications were identified using the developed search strategy and 301 of these are included in our systematic review. The Andersen-Gill method was identified as the most commonly applied method in the analysis of recurrent events, which was used in 152 (50.5%) studies. This was closely followed by frailty models which were used in 116 (38.5%) included studies. Of the 301 included studies, only 75 (24.9%) internally validated their model(s) and three (1.0%) validated their model(s) in an external dataset.ConclusionsThis review identified a variety of methods which are used in practice when developing or validating prediction models for recurrent events. The variability of the approaches identified is cause for concern as it indicates possible immaturity in the field and highlights the need for more methodological research to bring greater consistency in approach of recurrent event analysis. Further work is required to ensure publications report all required information and use robust statistical methods for model development and validation.PROSPERO registrationCRD42019116031.

Identifying prognostic predictors for postoperative pituitary neuroendocrine tumour recurrence: an integrated clinical, radiological, and immunohistochemistry assessment

Objective Pituitary neuroendocrine tumours (PitNETs) are the second most common type of intracranial tumour. Several studies have explored the prognostic factors for PitNETs. However, prognostic factors for postoperative PitNET recurrence remain not fully understood. This study aimed to explore potential prognostic factors for PitNET recurrence, such as surrounding tissue invasion and the extent of surgical resection in patients with postoperative PitNETs. Methods We included 106 patients who underwent PitNET surgery between 2013 and 2018, dividing them into two groups: those with recurrence and those without recurrence. Tumours were classified based on demographics, neuroradiological, and immunohistological characteristics. Univariate and multivariate analyses were used to determine factors predicting recurrence. Kaplan–Meier plots and log-rank tests were used to analyse each independent factor based on the cumulative 5-year recurrence rate. Results During the 5-year follow-up period, 29.2% of the patients (n = 31) had disease recurrence. Univariate analysis showed that predictors of recurrence included cavernous and sphenoid sinus invasions, optic chiasm compression, larger tumour volume, giant adenoma >4 cm, and gross total resection (GTR). Multivariate analysis showed that lactotroph tumour type, sphenoid sinus invasion, and GTR were independent predictors. Kaplan–Meier analysis revealed significant differences in the 5-year recurrence rate among the three independent predictors, with significantly lower recurrence rate in patients with lactotroph tumours and GTR, and a significantly higher recurrence risk in patients with sphenoid sinus invasion. Conclusions Lactotroph tumour type, sphenoid sinus invasion, and GTR are independent predictors of postoperative PitNET recurrence. This study provides insights into the factors affecting postoperative PitNET recurrence.

Effective Cancer Recurrence Prediction using Healthcare Data Analytics with Machine Learning and Artificial Intelligence

Effective Cancer Recurrence Prediction using Healthcare Data Analytics with Machine Learning and Artificial Intelligence