Direct oral anticoagulants versus vitamin K antagonists: Which one is more effective in atrial fibrillation

BACKGROUND

The optimal approach for anticoagulation in patients with bioprosthetic valves and atrial fibrillation (AF) remains a subject of debate. A meta-analysis using updated evidence to evaluate the efficacy and safety of direct oral anticoagulants (DOACs) compared to vitamin K antagonists (VKAs) in patients with AF and bioprosthetic valves to address this controversy.

METHODS

A comprehensive search was conducted in multiple databases, including PubMed, Scopus, Web of Science, ProQuest, and the Cochrane Central Register of Controlled Trials, up until March 2023. The search aimed to identify relevant randomized controlled trials (RCTs) that examined the efficacy and safety outcomes of both direct oral anticoagulants (DOACs) and vitamin K antagonists (VKAs) in patients with bioprosthetic valves and atrial fibrillation. The primary outcomes of interest were major bleeding and all-cause mortality.

RESULTS

Our study demonstrated that despite the difference was not significant, the hazard of all-cause mortality was 2.5% higher in the DOAC group (HR = 1.03, 95% CI = [0.88, 1.19], p-value = .75). Similarly, the hazard of stroke (HR = 1.03, 95% CI = [0.87, 1.32], p-value = .71) and major bleeding (HR = 1.11, 95% CI = [0.89, 1.38], p-value = .36) were found to be respectively 3.2 and 10.7% higher in the DOAC group, although the difference was not significant. However, the hazard of intracranial hemorrhage was found to be 28.8 lower in the DOAC treatment group (HR = 0.71, 95% CI = [0.39, 1.31], p-value = .27), which again was not statistically significant.

CONCLUSIONS

Our meta-analysis demonstrates that in patients undergoing bioprosthetic valve surgery and presenting with AF afterward, DOAC and VKA are similar regarding life-threatening and all-cause mortality outcomes, including major bleeding, stroke, and intracranial hemorrhage.

Sodium-Glucose Cotransporter-2 Inhibitors in Patients with Non-diabetic Chronic Kidney Disease: A Systematic Review

Sodium-glucose cotransporter-2 (SGLT2) inhibitors modulate kidney function in diabetic chronic kidney disease trials. Furthermore, recent studies have showed their effect on kidney dysfunction in non-diabetic chronic kidney disease (CKD). Here, we focus on the impact of SGLT2 inhibitors on some renal parameters in nondiabetic CKD by discussing completed and ongoing trials. Different databases and search engines of Web of Science, PubMed, Google Scholar, Scopus, SID, and Magiran were searched until November 2022. We included human studies that evaluated the effect of SGLT2 inhibitors in non-diabetic CKD participants. Two authors independently screened the articles for inclusion, extracted the data, and assessed the quality of the included studies. The primary outcomes were the effect of the SGLT2 inhibitors on proteinuria, GFR and blood pressure. A total of 46 full texts were assessed for eligibility, and further review. After reviewing the full texts, seven eligible articles were entered included in this study. We suggest that SGLT2 inhibitors provide renal protection by modifying predisposing factors in the development of CKD, specifically albuminuria and GFR decrease. Other beneficial effects of these agents on blood pressure and sympathetic nerve activity might be considered as a possible mechanism for improving renal hemodynamics. We believe SGLT2 inhibitors could be considered as an effective add-on therapy in non-diabetic CKD patients.  DOI: 10.52547/ijkd.7309.

Exposure to needle stick injuries among health care workers in hemodialysis units in the southwest of Iran: a cross-sectional study

BACKGROUND

Needle stick injury (NSI) is the most common cause of infection with blood-borne pathogens (BBP) among healthcare workers (HCWs). This study aimed to assess the prevalence of NSI and it's contributing factors among HCWs of hemodialysis (HD) units in southwest Iran.

METHODS

A cross-sectional study was performed in 13 HD centers in Shiraz, Iran. A total of 122 employees were enrolled in our study. We used self-administrated questionnaires to collect data about demographics, experiences regarding NSIs, and general health status. The statistical tests used in this study were Chi-square and Independent T-test. A P-value < 0.05 is considered significant.

RESULTS

The mean age of the study population was 36.1 ± 7.8 years (72.1%: women). Exposure to NSIs was reported by 23.0% of them at least once during the previous six months. NSI prevalence was significantly higher among those with higher age (p = 0.033), work experience > 10 years (p = 0.040), and those who graduated earlier (p = 0.031). The intravenous injection was the most common procedure leading to NSI, and being in a hurry was the most common cause. The average general health was 3.7 ± 3.2, higher among those not exposed to NSI (p = 0.042).

CONCLUSION

NSI is a prevalent hazard in HCWs of HD units. The high rate of NSI and unreported cases, besides the lack of adequate information, indicates the necessity of implementing protocols and strategies for improving the safety of this personnel. It is difficult to compare the result of this study with those performed among HCWs in other settings; hence, further studies are needed to determine whether HCWs of these units are more exposed to NSIs.

Body composition predicts hypertension using machine learning methods: a cohort study

We used machine learning methods to investigate if body composition indices predict hypertension. Data from a cohort study was used, and 4663 records were included (2156 were male, 1099 with hypertension, with the age range of 35-70 years old). Body composition analysis was done using bioelectrical impedance analysis (BIA); weight, basal metabolic rate, total and regional fat percentage (FATP), and total and regional fat-free mass (FFM) were measured. We used machine learning methods such as Support Vector Classifier, Decision Tree, Stochastic Gradient Descend Classifier, Logistic Regression, Gaussian Naïve Bayes, K-Nearest Neighbor, Multi-Layer Perceptron, Random Forest, Gradient Boosting, Histogram-based Gradient Boosting, Bagging, Extra Tree, Ada Boost, Voting, and Stacking to classify the investigated cases and find the most relevant features to hypertension. FATP, AFFM, BMR, FFM, TRFFM, AFATP, LFATP, and older age were the top features in hypertension prediction. Arm FFM, basal metabolic rate, total FFM, Trunk FFM, leg FFM, and male gender were inversely associated with hypertension, but total FATP, arm FATP, leg FATP, older age, trunk FATP, and female gender were directly associated with hypertension. AutoMLP, stacking and voting methods had the best performance for hypertension prediction achieving an accuracy rate of 90%, 84% and 83%, respectively. By using machine learning methods, we found that BIA-derived body composition indices predict hypertension with acceptable accuracy.

Post-COVID-19 vaccine acute encephalitis in an adult patient: A case report and literature review

Several vaccines were approved after COVID-19 pandemic, which have been fast-tracked for emergency use. The short- and long-term safety profile has been an area of concern. We presented a patient with encephalitis followed by hyponatremia who developed hallucination and seizure 1 day after receiving the second dose of Sinopharm vaccine.

Chronic Kidney Disease Following Liver Transplant: Associated Outcomes and Predictors

OBJECTIVES

Liver transplant as a life-saving procedure in patients with end-stage liver disease may have some complications such as renal dysfunction. Improved postoperative management and immuno- suppressive therapy have increased long-term survival and thus increased late complications like chronic kidney disease. Our study aimed to investigate outcomes of chronic kidney disease in liver transplant recipients and the incidence, progression rates, and adjustable risk factors of chronic kidney disease after liver transplant.

MATERIALS AND METHODS

Related studies published in English were elicited from various international sources like the ISI Web of Science, PubMed/Medline, Google Scholar, and Scopus.

RESULTS AND CONCLUSIONS

Chronic kidney disease as a long-term complication is common in liver transplant recipients whose survival is affected by renal function. Risk assessment of renal function before liver transplant and some nonrenal causes of chronic kidney disease after transplant could help reduce the risks associated with future renal outcomes.