Amit Ladani
West Virginia University
10 Papers
7 Citations
Amit Ladani is an academic researcher from West Virginia University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 7 publications.
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Papers
Managing rheumatic diseases during COVID-19
TL;DR: This article is an attempt to review and understand COVID-19 and its impact on the immune system with special emphasis on managing medications used for autoimmune rheumatic diseases.
Clinical and Diagnostic Considerations for Atypical, Adult Onset Presentation of Chronic Recurrent Multifocal Osteomyelitis (CRMO)
Stacey Mahady,Amit Ladani +1 more
TL;DR: A 74-year-old elderly Caucasian female with a history of palmoplantar pustular psoriasis who presented with pelvic and hip pain is highlighted, remaining an important part of the differential diagnosis of bone pain in adults and the elderly in addition to infectious osteomyelitis and malignancy when imaging reveals multiple bony lesions.
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Managing rheumatic diseases during COVID-19
TL;DR: This article is an attempt to review and understand COVID-19 and its impact on the immune system with special emphasis on managing medications used for autoimmune rheumatic diseases.
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The Association of Beta-Blocker Use to Cognitive Impairment among Adults with Hypertension or Cardiovascular Diseases in the United States.
Fnu Safarudin,Fnu Safarudin,Chibuzo Iloabuchi,Amit Ladani,Usha Sambamoorthi +4 more
- 01 Jun 2020
TL;DR: It is found that the use of beta-blockers was not associated with cognitive impairment, and future prospective studies that include pain management and blood pressure control are needed to confirm the findings.
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Predictors of Co-occurring Cardiovascular and Gastrointestinal Disorders among Elderly with Osteoarthritis
Jayeshkumar Patel,Amit Ladani,Nethra Sambamoorthi,Traci LeMasters,Nilanjana Dwibedi,Usha Sambamoorthi,Usha Sambamoorthi +6 more
- 01 Jun 2021
TL;DR: CV-GIDs are common among elderly with OA and can be predicted based on certain clinical factors, and machine learning methods with PDPs demonstrated that higher age, cardiac arrhythmia, longer durations of opioid or oral corticosteroids, higher number of physical therapy visits, polypharmacy, and hypertension were associated with a higher risk of CV-GID.
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