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Knee Injuries in Football
Knee injuries are common in football due to the dynamic nature of the sport, involving sudden changes in direction, pivoting, and high-impact collisions. Anterior cruciate ligament (ACL) injuries are among the most prevalent in football. A non-contact mechanism, such as sudden deceleration or pivoting, often leads to ACL tears. Medial collateral ligament (MCL) injuries are also frequent, usually resulting from direct blows to the outer knee. Meniscal tears, particularly of the medial meniscus, can occur concurrently with ligamentous injuries. Patellar injuries, including dislocations or fractures, may happen due to sudden stops or changes in direction. Prompt and accurate diagnosis, often through imaging like MRI, is crucial for appropriate management. Initial treatment involves rest, ice, compression, and elevation (RICE), followed by physical therapy and rehabilitation. Severe cases may require surgical intervention, especially for ACL tears. Preventive measures such as proper warm-up, strengthening exercises, and using protective equipment contribute to reducing the risk of knee injuries in football. Regular monitoring, early intervention, and a comprehensive rehabilitation approach are key to facilitating a safe return to play and minimizing long-term consequences for football players with knee injuries.
About the Speaker
Dr. Sebastian Orduna
Consultant Orthopedic Surgery & Sports Medicine Reem Hospital, AUH
Upcoming Case Discussions
Approach to a Patient with Altered Mental Status
The evaluation of a patient with altered mental status begins with a detailed history. Because the patient may be unable to offer a history, it will be required to seek additional information from family, friends, or the primary medical team. The first step is to ascertain the timing of the mental status change and the circumstances surrounding it, such as medication/drug usage or trauma. An acute change in mental state is a medical emergency that necessitates an immediate, systematic evaluation. Airway, breathing, and circulation ("ABC's") should be evaluated in conjunction with an updated set of full vital signs and finger-stick blood glucose. Tachycardia may indicate a systemic infection, pulmonary embolism, or atrial fibrillation with high ventricular rate.
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The evaluation of a patient with altered mental status begins with a detailed history. Because the patient may be unable to offer a history, it will be required to seek additional information from family, friends, or the primary medical team. The first step is to ascertain the timing of the mental status change and the circumstances surrounding it, such as medication/drug usage or trauma. An acute change in mental state is a medical emergency that necessitates an immediate, systematic evaluation. Airway, breathing, and circulation ("ABC's") should be evaluated in conjunction with an updated set of full vital signs and finger-stick blood glucose. Tachycardia may indicate a systemic infection, pulmonary embolism, or atrial fibrillation with high ventricular rate.
Approach to Coronary Artery Diseases
Coronary artery disease (also known as coronary heart disease) is the leading cause of death for both men and women and the most frequent type of heart disease. This largely preventable condition causes hazardous thickening and narrowing of the coronary arteries—the channels that bring blood to the heart—interrupting the passage of oxygen and nutrients to the heart, resulting in major complications. Angina (chest pain) can result from coronary artery disease when there is insufficient blood flow. Over time, the heart needs to work harder, which can lead to heart failure (when the heart is unable to pump adequately) or arrhythmia. The injured arteries may become fully clogged or prone to clotting, resulting in a heart attack.
AI Solutions for Hospitals
AI in healthcare is the application of machine learning, natural language processing, deep learning, and other AI technologies to improve the experiences of both healthcare workers and patients. AI's data-processing and prediction skills allow health practitioners to better manage their resources and tackle many facets of healthcare in a more proactive manner. With these technology, doctors can make faster and more accurate diagnoses, health administrators can find electronic health information more quickly, and patients can receive more timely and individualized care.