Browsing by Autor "Vanessa Vidaurre Corrales"

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A review on mTOR inhibitor use and outcomes of COVID-19 among patients with kidney transplantation
(Biomedical Informatics, 2025) Sawai Singh Rathore; Vanessa Vidaurre Corrales; Galab M. Hassan; Hamam Aneis; Yasin Al Shyyab Ibrahim Marouf; Mutaz AlBeetar; Samah Mohamed Kannas; Omar Jihad Saleh Almistarihi; Mohamed Daoud
Kidney transplant recipients are at increased risk of severe COVID-19 due to immunosuppression and the impact of mTOR inhibitors on outcomes remains unclear. Hence, we evaluated 24 observational studies with 5,882 kidney transplant patients to assess the association of mTOR inhibitors with COVID-19 severity and mortality. Random-effects models showed that mTOR inhibitors were significantly associated with reduced mortality (OR=0.63, 95% CI 0.48-0.83, P=0.001) but not with COVID-19 severity (OR=0.70, 95% CI 0.41-1.20, P=0.865). Thus, mTOR inhibitors may provide a survival benefit in kidney transplant patients with COVID-19, highlighting the need for further research.
A systematic review and meta-analysis of new-onset atrial fibrillation in the context of COVID-19
(2023) Sawai Singh Rathore; Akanksha Atulkar; Kavya Remala; Vanessa Vidaurre Corrales; Ameer Mustafa Farrukh; Ravinderjeet Kaur Puar; Sem Josue Nsanh Yao; Vijaya Durga Pradeep Ganipineni; Nirmal Patel; Naganath Thota
Background: New-onset atrial fibrillation (NOAF) in COVID-19 raises significant clinical and public health issues. This systematic review and meta-analysis aims to compile and analyze the current literature on NOAF in COVID-19 and give a more comprehensive understanding of the prevalence and outcomes of NOAF in COVID-19. Methods: A comprehensive literature search was carried out using several databases. The random effect model using inverse variance method and DerSimonian and Laird estimator of Tua2 was used to calculate the pooled prevalence and associated 95% confidence interval (CI). Results for outcome analysis were presented as odds ratios (ORs) with 95% CI and pooled using the Mantel-Haenszel random-effects model. Results: The pooled prevalence of NOAF in COVID-19 was 7.8% (95% CI, 6.54% to 9.32%), pooled estimate from 30 articles (81,929 COVID-19 patients). Furthermore, our analysis reported that COVID-19 patients with NOAF had a higher risk of developing severe disease compared with COVID–19 patients without a history of atrial fibrillation (OR= 4.78, 95% CI 3.75 to 6.09) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR= 2.75, 95% CI 2.10 to 3.59) . Similarly, our analysis also indicated that COVID–19 patients with NOAF had a higher risk of all-cause mortality compared with, COVID–19 patients without a history of atrial fibrillation (OOR= 3.83, 95% CI 2.99 to 4.92) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR= 2.32, 95% CI 1.35 to 3.96). The meta-analysis did not reveal any significant publication bias. Conclusion: The results of the current meta-analysis a high prevalence rate of NOAF among COVID-19 patients. Further the study reported higher disease severity with NOAF compared with COVID-19 patients without a history of atrial fibrillation and with a history of atrial fibrillation.
A systematic review and meta‐analysis of new‐onset atrial fibrillation in the context of COVID‐19 infection
(Wiley, 2024) Sawai Singh Rathore; Akanksha Atulkar; Kavya Remala; Vanessa Vidaurre Corrales; Ameer Mustafa Farrukh; Ravinderjeet Kaur Puar; Sem Josue Nsanh Yao; Vijaya Durga Pradeep Ganipineni; Nirmal Patel; Naganath Thota
New-onset atrial fibrillation (NOAF) in COVID-19 raises significant clinical and public health issues. This systematic review and meta-analysis aims to compile and analyze the current literature on NOAF in COVID-19 and give a more comprehensive understanding of the prevalence and outcomes of NOAF in COVID-19. A comprehensive literature search was carried out using several databases. The random effect model using inverse variance method and DerSimonian and Laird estimator of Tua2 was used to calculate the pooled prevalence and associated 95% confidence interval (CI). Results for outcome analysis were presented as odds ratios (ORs) with 95% CI and pooled using the Mantel-Haenszel random-effects model. The pooled prevalence of NOAF in COVID-19 was 7.8% (95% CI: 6.54%-9.32%),a pooled estimate from 30 articles (81 929 COVID-19 patients). Furthermore, our analysis reported that COVID-19 patients with NOAF had a higher risk of developing severe disease compared with COVID-19 patients without a history of atrial fibrillation (OR = 4.78, 95% CI: 3.75-6.09) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR = 2.75, 95% CI: 2.10-3.59). Similarly, our analysis also indicated that COVID-19 patients with NOAF had a higher risk of all-cause mortality compared with, COVID-19 patients without a history of atrial fibrillation (OR = 3.83, 95% CI: 2.99-4.92) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR = 2.32, 95% CI: 1.35-3.96). The meta-analysis did not reveal any significant publication bias. The results indicate a strong correlation between NOAF and a higher risk of severe illness and mortality. These results emphasize the importance of careful surveillance, early detection, and customized NOAF management strategies to improve clinical outcomes for COVID-19 patients.
Abstract 4145634: Clinical Outcomes of Catheter Ablation for Atrial Fibrillation in Younger Adults: A Systematic Review and Meta-Analysis
(Lippincott Williams & Wilkins, 2024) Sawai Singh Rathore; Ameer Mustafa Farrukh; Sem Josue Nsanh Yao; Vanessa Vidaurre Corrales; Zario Wint; Ibrahim Al Shyyab; Aman Goyal; Hritvik Jain; Ashish Kumar
Background: Catheter ablation has been increasingly used for managing atrial fibrillation (AF), to restore and maintain normal sinus rhythm. Despite its widespread use, it is unclear if there are differences in clinical outcomes, particularly in maintaining rhythm control and safety outcomes, between younger and older adults undergoing catheter ablation. The objective of this meta-analysis was to compare the outcomes following catheter ablation in younger and older adults. Methods: A comprehensive literature search was conducted using the PubMed, Embase, and Google Scholar databases. Using random effect models, mantel-Haenszel odds ratios and associated 95% confidence intervals were calculated to report the overall effect size. The primary endpoints were AF/atrial tachycardia (AT) recurrence and re-ablation requirement. Secondary outcomes included in-hospital complications such as stroke/TIA, cardiac tamponade/pericardial effusion, and vascular complications such as bleeding, hematoma, AV fistula, and femoral pseudoaneurysm. The young adult group varied between studies, ranging from under 30 years to under 45 years. Results: Data from 10 articles, with a sample size of about 126,141 AF patients, were considered. Our analysis indicated that catheter ablation for AF in the younger age group was linked to reduced odds of AF/AT reoccurrence (OR: 0.60; 95% CI: 0.44 to 0.83; p=0.002) and a decreased need for re-ablation after the index procedure (OR: 0.72; 95% CI: 0.53 to 0.97; p=0.03). Furthermore, catheter ablation in younger adults was found to be associated with a lower risk of in-hospital procedural complications like stroke/TIA (OR: 0.59; 95% CI: 0.43 to 0.80; p=0.0008) and cardiac tamponade/pericardial effusion (OR: 0.53; 95% CI: 0.42 to 0.68; p<0.0001). There was no difference between the two groups concerning vascular complications during the procedure (OR: 0.60; 95% CI: 0.28 to 1.27; p=0.18). Conclusion: This meta-analysis demonstrates that younger adults undergoing catheter ablation for atrial fibrillation reported significantly better clinical outcomes than older adults.
Abstract 4145690: Impact of Sodium-Glucose Cotransporter 2 Inhibitors on Atrial Fibrillation Recurrence After Catheter Ablation in Patients with Diabetes: A Systematic Review and Meta-Analysis
(Lippincott Williams & Wilkins, 2024) Sawai Singh Rathore; Ibrahim Al Shyyab; Ameer Mustafa Farrukh; Hamam Aneis; Sem Josue Nsanh Yao; Vanessa Vidaurre Corrales; Zario Wint; Ashish Kumar
Background: Sodium-glucose cotransporter 2 (SGLT2) inhibitors have demonstrated cardiovascular benefits beyond glycemic control, including potential anti-arrhythmic effects. The impact of SGLT2 inhibitors on atrial fibrillation (AF) recurrence following catheter ablation in diabetic patients is an area of emerging interest. The purpose of this meta-analysis was to evaluate the impact of SGLT2 inhibitors on AF recurrence following catheter ablation in patients with diabetes. Methods: A comprehensive literature search was carried out using PubMed, Embase, and Google Scholar databases for the studies comparing SGLT2 inhibitors with other antidiabetic drugs in AF patients undergoing catheter ablation. Using random effect models, Mantel-Haenszel odds ratios and associated 95% confidence intervals were produced to report the overall effect size. Statistical significance was set at p < 0.05. Egger's regression test and Begg-Mazumdar's rank test were used to assess publication bias. The primary endpoint was the reoccurrence of atrial fibrillation after catheter ablation during the follow-up period, which varied between studies and ranged from 12 to 33 months. Results: The analysis included six studies, involving a sample size of around 5,765 AF patients. Our study reported that the use of SGLT2 inhibitors in diabetic patients undergoing catheter ablation for AF was associated with lower odds of AF reoccurrence (OR: 0.46; 95% CI: 0.32 to 0.65; p<0.0001) compared with other antidiabetic medications. This outcome has moderately associated heterogeneity, with I2 of 59%. Egger's regression test and Begg-Mazumdar's rank test showed no evidence of publication bias (p > 0.05). Conclusion: The use of SGLT2 inhibitors was associated with improved outcomes post-catheter ablation for AF diabetic patients. Further large-scale, randomized controlled trials are warranted to confirm these findings and elucidate the underlying mechanisms.
Abstract 4145880: Incidence and Outcomes of Acute Myocardial Infarction (AMI) in Hematological Malignancy Patients: Systematic review and Meta-analysis
(Lippincott Williams & Wilkins, 2024) Sawai Singh Rathore; Ameer Mustafa Farrukh; Sem Josue Nsanh Yao; Ibrahim Al Shyyab; Vanessa Vidaurre Corrales; Zario Wint; Hritvik Jain; Aman Goyal; Ashish Kumar
Background: Patients with hematological malignancies may face increased cardiovascular risks, including acute myocardial infarction (AMI). This systematic review and meta-analysis aims to evaluate the incidence and outcomes of AMI in patients with hematological malignancies compared with the general population. Methods: A comprehensive literature search was conducted using the PubMed, Embase, and Google Scholar databases. Random effect models were utilized to calculate Mantel-Haenszel odds ratios (ORs) with 95% confidence intervals (CIs). The inverse variance method with DerSimonian–Laird (DL) of Tau2 was used to calculate standardized mean differences (SMDs) with CIs. Statistical significance was set at p < 0.05. The primary endpoint was the incidence of AMI, while secondary outcomes included in-hospital mortality, length of hospital stay, likelihood of undergoing invasive procedures, total hospital costs, bleeding events, and stroke outcomes. Results: Twenty-six articles, including approximately 6.33 million patients with hematological malignancies, were included in the meta-analysis. Hematological malignancies were not associated with an increased incidence of AMI compared with the general population (OR = 0.91; 95% CI 0.80 to 1.03; p<0.001). AMI in hematological malignancies was associated with an increased risk of in-hospital mortality (OR = 1.71; 95% CI 1.57 to 1.86; p<0.001), bleeding event (OR = 1.30; 95% CI 1.12 to 1.60; p<0.001), and stroke (OR = 1.24; 95% CI 1.09 to 1.42) compared with AMI in the general population. Patients admitted due to AMI in hematologic malignancies also experienced an increased length of stay (SMD = 0.25; 95% CI 0.20 to 0.28; p<0.001) compared with AMI in the general population. There was no significant difference between the two groups in terms of the likelihood of undergoing invasive procedures (OR = 0.62; 95% CI 0.56 to 0.69) or total hospital expenditure (SMD = 0.09; 95% CI -0.01 to 0.19). Conclusion: While hematological malignancies do not appear to increase the incidence of acute myocardial infarction (AMI), patients who experience AMI episodes are at higher odds of in-hospital complications.
Advancing early breast cancer detection with artificial intelligence in low-resource healthcare systems: a narrative review
(Medip Academy, 2025) Vanessa Vidaurre Corrales; Ibrahim Marouf Yasin Al Shyyab; Nagana Gowda; Mahmood Alaawad; M. Mohamed; Omar Jihad Saleh Almistarihi; Galab M. Hassan; N. Jayaprakash; Paras Nath Yadav; Jayanth Jakka
Breast cancer is a leading cause of illness and death worldwide, with early detection being key to improving survival rates. However, in low-resource settings, the lack of accessible, affordable, and efficient screening methods significantly hinders timely diagnosis and intervention. Traditional breast cancer screening methods, such as mammography, are often unavailable or impractical in these regions due to high costs, inadequate infrastructure, and a shortage of trained professionals. To address these challenges, artificial intelligence (AI) technologies have emerged as promising tools to enhance breast cancer screening. AI-based solutions, such as AI-enhanced mammography, ultrasound imaging, thermography, and mobile applications, have the potential to address challenges in low-resource settings by offering cost-effective, portable, and user-friendly alternatives. These innovations can facilitate early detection, decrease diagnostic errors, and empower healthcare workers with limited training to perform screenings effectively. This review examines the role of AI in breast cancer screening, particularly in low-resource settings. It highlights the challenges associated with conventional screening methods and explores how AI can help fill these gaps. Success stories from initiatives such as RAD-AID International, Tata memorial centre, and the AI-driven ultrasound project in Rwanda demonstrate the feasibility of integrating AI tools into underserved healthcare systems. The review also discusses strategies for effective AI integration, including data collection, infrastructure development, and training. Additionally, it outlines future directions for enhancing AI applications in global health. AI has the potential to bridge the gap in breast cancer screening, ensuring that underserved populations benefit from improved early detection and better health outcomes. This review provides a comprehensive overview of AI applications in breast cancer screening and offers insights into the future of AI in low-resource healthcare systems.
Risk of cardiovascular events among celiac disease patients: A meta-analysis review
(Biomedical Informatics, 2025) Saad Shams; Vanessa Vidaurre Corrales; Ibrahim Marouf Yasin Al Shyyab; Akshat Banga; Ameer Mustafa Farrukh; Moza A Alzaabi; Majd Atef Albeetar; Sem Josue Nsanh Yao; Kavya Remala; M. Mahfouz
A review on the association between celiac disease and cardiovascular events using multiple databases and random effects models is of interest. The overall prevalence of cardiovascular events in celiac patients was 9.3%. However, there was no significant increase in overall cardiovascular risk or myocardial infarction compared to the general population. Known data shows that celiac disease was linked to a higher risk of atrial fibrillation, stroke, congestive heart failure and cardiomyopathy. Thus, there is a need to monitor cardiovascular health in celiac patients to mitigate potential risks.
Unveiling the Dual Threat: Myocarditis in the Spectrum of Dengue Fever
(Elsevier BV, 2023) Ameer Mustafa Farrukh; Vijaya Durga Pradeep Ganipineni; Urmi Jindal; Abhishek Chaudhary; Ravinderjeet Kaur Puar; Klodin Ghazarian; Vanessa Vidaurre Corrales; S. Alarcón; Kavya Remala; Naganath Thota