Sandeep Singh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Sandeep Singh has a total of 259 co-authors. Here are the top co-authors by number of shared publications:
- Rupak Desai
Atlanta VA Medical Center, Decatur, GA
33 shared publications - Rajesh Sachdeva
Division of Cardiology, Atlanta VA Medical Center, Decatur, GA, USA
13 shared publications Sorabh Badaya
10 shared publicationsGautam Kumar
Division of Cardiology, Atlanta VA Medical Center, Decatur, GA, USA; Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA
8 shared publications- Hee Kong Fong
Cardiovascular Medicine, University of California Davis Medical Center, Sacramento, USA
8 shared publications - Gautam Kumar
Atlanta Veterans Administration Medical Center, Atlanta, USA
7 shared publications
Latest Publications
- Open Access
- 30 January 2024
- Published by Elsevier in Current Problems in Cardiology
- Vol. 49 (4) , 102439
Association between lipoprotein (a) and risk of heart failure: A systematic review and meta-analysis of Mendelian randomization studies
- 30 January 2024
- Published by Elsevier in Current Problems in Cardiology
- Vol. 49 (4) , 102439
Open AccessAssociation between lipoprotein (a) and risk of heart failure: A systematic review and meta-analysis of Mendelian randomization studies
- Open Access
- 6 August 2023
- Published by Elsevier in Current Problems in Cardiology
- Vol. 49 (1) , 102024
Association Between Lipoprotein (a) and Risk of Atrial Fibrillation: A Systematic Review and Meta-analysis of Mendelian Randomization Studies
- 6 August 2023
- Published by Elsevier in Current Problems in Cardiology
- Vol. 49 (1) , 102024
Open AccessAssociation Between Lipoprotein (a) and Risk of Atrial Fibrillation: A Systematic Review and Meta-analysis of Mendelian Randomization Studies
- Open Access
- 30 April 2023
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 13 (5) , 782
Recurrent/Subsequent Stroke and Associated Outcomes in Geriatric Patients with OSA and Prior Stroke Events: A Retrospective Study Using the 2019 National Inpatient Sample
Background: Obstructive sleep apnea (OSA) increases the risk of stroke and cardiovascular diseases. However, its impact on geriatric patients with a prior history of stroke/transient ischemic attack (TIA) has not been adequately studied. Methods: We utilized the 2019 National Inpatient Sample in the US to identify geriatric patients with OSA (G-OSA) who had a prior history of stroke/TIA. We then compared subsequent stroke (SS) rates among sex and race subgroups. We also compared the demographics and comorbidities of SS+ and SS− groups and utilized logistic regression models to assess outcomes. Results: Out of 133,545 G-OSA patients admitted with a prior history of stroke/TIA, 4.9% (6520) had SS. Males had a higher prevalence of SS, while Asian-Pacific Islanders and Native Americans had the highest prevalence of SS, followed by Whites, Blacks, and Hispanics. The SS+ group had higher all-cause in-hospital mortality rates, with Hispanics showing the highest rate compared to Whites and Blacks (10.6% vs. 4.9% vs. 4.4%, p < 0.001), respectively. Adjusted analysis for covariates showed that complicated and uncomplicated hypertension (aOR 2.17 [95% CI 1.78–2.64]; 3.18 [95% CI 2.58–3.92]), diabetes with chronic complications (aOR 1.28 [95% CI 1.08–1.51]), hyperlipidemia (aOR 1.24 [95% CI 1.08–1.43]), and thyroid disorders (aOR 1.69 [95% CI 1.14–2.49]) were independent predictors of SS. The SS+ group had fewer routine discharges and higher healthcare costs. Conclusions: Our study shows that about 5% of G-OSA patients with a prior history of stroke/TIA are at risk of hospitalization due to SS, which is associated with higher mortality and healthcare utilization. Complicated and uncomplicated hypertension, diabetes with chronic complications, hyperlipidemia, thyroid disorders, and admission to rural hospitals predict subsequent stroke.
- 30 April 2023
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 13 (5) , 782
Open AccessRecurrent/Subsequent Stroke and Associated Outcomes in Geriatric Patients with OSA and Prior Stroke Events: A Retrospective Study Using the 2019 National Inpatient Sample
Background: Obstructive sleep apnea (OSA) increases the risk of stroke and cardiovascular diseases. However, its impact on geriatric patients with a prior history of stroke/transient ischemic attack (TIA) has not been adequately studied. Methods: We utilized the 2019 National Inpatient Sample in the US to identify geriatric patients with OSA (G-OSA) who had a prior history of stroke/TIA. We then compared subsequent stroke (SS) rates among sex and race subgroups. We also compared the demographics and comorbidities of SS+ and SS− groups and utilized logistic regression models to assess outcomes. Results: Out of 133,545 G-OSA patients admitted with a prior history of stroke/TIA, 4.9% (6520) had SS. Males had a higher prevalence of SS, while Asian-Pacific Islanders and Native Americans had the highest prevalence of SS, followed by Whites, Blacks, and Hispanics. The SS+ group had higher all-cause in-hospital mortality rates, with Hispanics showing the highest rate compared to Whites and Blacks (10.6% vs. 4.9% vs. 4.4%, p < 0.001), respectively. Adjusted analysis for covariates showed that complicated and uncomplicated hypertension (aOR 2.17 [95% CI 1.78–2.64]; 3.18 [95% CI 2.58–3.92]), diabetes with chronic complications (aOR 1.28 [95% CI 1.08–1.51]), hyperlipidemia (aOR 1.24 [95% CI 1.08–1.43]), and thyroid disorders (aOR 1.69 [95% CI 1.14–2.49]) were independent predictors of SS. The SS+ group had fewer routine discharges and higher healthcare costs. Conclusions: Our study shows that about 5% of G-OSA patients with a prior history of stroke/TIA are at risk of hospitalization due to SS, which is associated with higher mortality and healthcare utilization. Complicated and uncomplicated hypertension, diabetes with chronic complications, hyperlipidemia, thyroid disorders, and admission to rural hospitals predict subsequent stroke.
- Open Access
- 3 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Figures 1 - 2, Tables 1 - 2 from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity
PDF file - 1279K, Supplementary Figure 1. PANC-1 and Mia-PaCa cells are highly sensitive to RRD-251. Supplementary Figure 2. RRD-251 enhances the pro-apoptotic effects of gemcitabine. TABLE 1. Varying sensitivity of pancreatic cancer cells to RRD-251. Supplementary Table 2: RRD-251 enhances early and late apoptosis.
- 3 April 2023
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figures 1 - 2, Tables 1 - 2 from Selective Disruption of Rb–Raf-1 Kinase Interaction Inhibits Pancreatic Adenocarcinoma Growth Irrespective of Gemcitabine Sensitivity
PDF file - 1279K, Supplementary Figure 1. PANC-1 and Mia-PaCa cells are highly sensitive to RRD-251. Supplementary Figure 2. RRD-251 enhances the pro-apoptotic effects of gemcitabine. TABLE 1. Varying sensitivity of pancreatic cancer cells to RRD-251. Supplementary Table 2: RRD-251 enhances early and late apoptosis.
- 25 January 2023
- Published by Springer Nature
- p. 325-333
OFDA: A Comprehensive and Integrated Approach for Predicting Estimated Delivery Time for Online Food Delivery
- 25 January 2023
- Published by Springer Nature
- p. 325-333
OFDA: A Comprehensive and Integrated Approach for Predicting Estimated Delivery Time for Online Food Delivery
- 8 November 2022
- Published by Springer Nature
- p. 721-728
A Comprehensive Approach for Recognizing the Ocular Impression Using Machine Learning-Based CNN and LBP Plainer Interpolation
- 8 November 2022
- Published by Springer Nature
- p. 721-728
A Comprehensive Approach for Recognizing the Ocular Impression Using Machine Learning-Based CNN and LBP Plainer Interpolation
- 8 November 2022
- Published by Springer Nature
- p. 729-738
A Comprehensive Framework for Online Job Portals for Job Recommendation Strategies Using Machine Learning Techniques
- 8 November 2022
- Published by Springer Nature
- p. 729-738
A Comprehensive Framework for Online Job Portals for Job Recommendation Strategies Using Machine Learning Techniques