A New Risk Prediction Model for Detecting Endoscopic Activity of Ulcerative Colitis

Background/Aims

: Ulcerative colitis (UC) is an incurable, relapsing-remitting inflammatory disease that increases steadily. Mucosal healing has become the primary therapeutic objective for UC. Nevertheless, endoscopic assessments are invasive, expensive, time-consuming, and inconvenient. Therefore, it is crucial to develop a noninvasive predictive model to monitor endoscopic activity in patients with UC.

Methods

: Clinical data of 198 adult patients with UC were collected from January 2016 to August 2022 at Huadong Hospital, China.

Results

: Patients with UC were randomly divided into the training cohort (70%, n=138) and the validation cohort (30%, n=60). The receiver operating characteristic curve value for the training group was 0.858 (95% confidence interval [CI], 0.781 to 0.936), whereas it was 0.845 (95% CI, 0.731 to 0.960) for the validation group. The calibration curve employed the Hosmer-Lemeshow test (p>0.05) to demonstrate the consistency between the predicted and the actual probabilities in the nomogram of these two groups. The decision curve analysis validated that the nomogram had clinical usefulness.

Conclusions

: The nomogram, which incorporated activated partial thromboplastin time, fecal occult blood test, β2-globulin level, and fibrinogen degradation products, served as a prospective tool for evaluating UC activity in clinical practices.

Overexpression of the miR-143/145 and reduced expression of the let-7 and miR-126 for early lung cancer diagnosis

INTRODUCTION

Lung cancer is the leading cause of cancer-related deaths worldwide. For this reason, huge efforts are being invested in discovering suitable blood biomarkers that would allow early diagnosis and treatment. One of the possible promising candidates for this role are microRNA molecules (miRNAs). The aim of the study was to identify individual blood miRNAs that could be used as potential biomarkers for early diagnosis of lung cancer.

METHODS

This prospective study analyzed blood samples of 60 patients with early-stage lung cancer, and blood samples of 60 healthy individuals. All study patients with lung cancer had undergone radical pulmonary resection at the University Hospital Ostrava within the study period (2015-2017). Definitive diagnosis of lung cancer was confirmed by histopathology examination of the resected pulmonary specimen. We investigated relative expressions in selected 13 blood miRNAs; the examined miRNAs were miR-126, miR-155, miR-221, miR-21, miR-143, miR-145, miR-133a, let-7a, miR-146a, miR-31, miR-182, let-7g and miR-19b.

RESULTS

The outcome of this study showed that the levels of the majority of the tested circulating miRNA in lung cancer patients are significantly altered. The most significant serum miRNA biomarkers for the early detection of lung cancer are as follows: miR-143, let-7g, miR-126, let-7a, and miR-145 (miR-143 and miR-145 have oncogene functions, while miR-126, let-7g and let-7a have suppressor functions).

CONCLUSIONS

We have demonstrated the excellent diagnostic value of several miRNAs (miR-126, miR-143, miR-145, let-7a and let7g). These have an estimated sensitivity and specificity of 75-85% and 0.90-0.93 AUC. However, these individual miRNA biomarkers require further validation in larger prospective cohorts.

Prediction value of preoperative findings on meningioma grading using artificial neural network

OBJECTIVES

Meningioma is the most common brain tumor in adults. Grade 1 meningiomas have excellent prognoses, but grades 2 and 3 usually have worse outcomes, higher recurrence rates, and higher mortality rates. Preoperative determination of tumor grade may be helpful in deciding the type of surgery and the rate of resection. Blood markers have been used to predict the rate of malignancy and prognosis of tumors in different regions, including the brain. The current study investigated the use of blood markers on predicting meningioma grade.

PATIENTS AND METHODS

Patients with newly diagnosed meningiomas were retrospectively reviewed. Data on the patients' demographics, tumor locations, blood markers, and tumor pathology grades was extracted. The relationship between preoperative findings and tumor grade was statistically analyzed, and using the same findings and an artificial neural network, the accuracy of tumor grade prediction was evaluated.

RESULTS

This study included 95 patients, 69 cases (72.4 %) of grade 1, 23 cases of grade 2 (24.4 %) and 3 cases of grade 3 (3.2 %) meningiomas. Monocyte and neutrophil counts as well as lymphocyte-to-monocyte ratio (LMR) were significantly different between low grade and high grade meningiomas, with higher monocyte and neutrophil counts and higher LMR associated with high grade meningiomas (p < 0.05). Evaluation of the data with an artificial neural network using RBF with 5 variables (age, monocyte count, LMR, platelet-to-lymphocyte ratio (PLR), and neutrophil count) indicated that tumor grade can be determined with 83 % accuracy using an artificial neural network.

CONCLUSION

A preoperative high monocyte count and high LMR are associated with high grade meningioma. An artificial neural network using preoperative data can acceptably be used to characterize meningioma tumor grades.

Association of pre-ablation level of potential blood markers with atrial fibrillation recurrence after catheter ablation: a meta-analysis

Aims

The meta-analysis was aimed to search for candidate blood markers whose pre-ablation level was associated with atrial fibrillation (AF) recurrence after radiofrequency catheter ablation (RFCA).

Methods and results

A systematic literature search of PubMed, EMBASE, Springer Link, Web of Science, Wiley-Cochrane library, and supplemented with Google scholar search engine was performed. Thirty-six studies covering 11 blood markers were qualified for this meta-analysis. Compared with the nonrecurrence group, the recurrence group had increased pre-ablation level of atrial natriuretic peptide (ANP), brain natriuretic peptide (BNP), N-terminal pro-brain natriuretic peptide (NT-pro-BNP), interleukin-6 (IL-6), C-reactive protein, low density lipoprotein (LDL), and tissue inhibitor of metal loproteinase-2 (TIMP-2) [standardized mean difference (95% confidence interval): 0.37 (0.13-0.61), 0.77 (0.40-1.14), 1.25 (0.64-1.87), 0.37 (0.21-0.52), 0.35 (0.10-0.60), 0.24 (0.07-0.42), 0.17 (0.00-0.34), respectively], while no statistical difference of pre-ablation level of white blood cell, total cholesterol, triglyceride, and transforming growth factor-β1 was found. Subgroup analysis demonstrated that ANP was associated with AF recurrence in participants who had no concomitant structural heart diseases (SHD); however, not in participants who had SHD, C-reactive protein was associated with AF recurrence in Asian studies, whereas not in European studies.

Conclusion

Increased pre-ablation level of ANP, BNP, NT-pro-BNP, IL-6, C-reactive protein, LDL, and TIMP-2 was associated with greater risk of AF recurrence after RFCA.

Does preeclampsia have any adverse effect on fetal heart?

OBJECTIVE

To determine whether preeclampsia causes fetal cardiac cell damage by assessing umbilical artery NT-proBNP, cardiac troponin I and homocysteine.

METHODS

A cross-sectional study with 73 fetuses between 26 and 40 weeks of gestation was performed. Thirty-three healthy mothers' fetuses were control group (Group I). While 12 mildly pre-eclamptic mothers' fetuses constituted Group II, 28 fetuses of severe pre-eclamptic mothers were Group III.

RESULTS

Umbilical cord mean NT-proBNP levels of Group I, II and III are 520.8 ± 404.5 pg/ml; 664.2 ± 215.9 pg/ml; and 1932.8 ± 2979.5 pg/ml, respectively (p = 0.0001). The number of neonates with NT-proBNP > 500 pg/mL that indicates severe cardiac damage is higher in Group III (p = 0.001). The mean homocysteine levels are also statistically significantly higher in Group III. Cardiac troponin I levels are not different between the groups (p = 0.46).

CONCLUSION

Increased NT-proBNP and homocysteine might not only indicate some degree of in-utero cardiac cell damage but also feto-placental endothelial injury in the fetuses of severe pre-eclamptic mothers. Our finding that shows no evidence of correlation between cardiac troponin I levels with cell damage and endothelial injury requires further research.