- 42.2k views
Diabetic Emergencies
Diabetic emergencies occur when blood sugar levels become dangerously high or low, requiring immediate medical attention. Common emergencies include diabetic ketoacidosis (DKA), where high blood sugar leads to a buildup of acids in the blood, and hypoglycemia, where blood sugar drops too low, causing confusion, seizures, or unconsciousness. Symptoms of these emergencies may include extreme thirst, frequent urination, nausea, sweating, or disorientation. Quick intervention, such as administering insulin for high blood sugar or glucose for low blood sugar, is critical. Proper diabetes management and regular monitoring can help prevent these life-threatening situations.
About the Speaker
Dr. Gautam Panduranga
Senior Internal Medicine Consultant, KIMS Hospitals, Hyderabad
Dr Gautam Panduranga has trained and worked in India and abroad. After completing MBBS from Gandhi Medical College and MD in General Medicine from Osmania Medical College / Hospital, he went to the UK in 2000 to pursue further training in National Health Services (NHS) and is fully registered by GMC (General Medical Council, UK). After serving for 3 years in the UK, Dr. Gautam went to USA where he completed residency in Internal Medicine at Metro Health Medical Center (Case Western Reserve University, Cleveland, OH, USA). He is Board Certified in Internal Medicine, USA and worked as a Hospitalist (providing care for hospital inpatients) for 5 years at Tucson Medical Center (University of Arizona, USA). Currently, he is working as a Consultant and Physician in Internal Medicine at KIMS Hospitals, Secunderabad since 2015. His interests include providing comprehensive care for patients and treating those with lifestyle disorders and multi-system problems. He is also an Associate Professor in Medicine at His passion includes teaching residents (DNB) and medical students.
Upcoming Case Discussions
Technology Integration with Healthcare
Technology integration in healthcare is transforming the way medical services are delivered, enhancing efficiency and patient outcomes. Innovations such as telemedicine, electronic health records (EHR), and wearable devices allow for real-time monitoring and improved accessibility. Artificial intelligence (AI) and machine learning aid in early diagnosis and personalized treatment plans. Robotic surgeries and advanced imaging techniques offer precision and reduced recovery times. By combining technology with healthcare, providers can streamline operations, improve patient engagement, and deliver cost-effective care solutions.
Pediatric Obesity: Treatment Management
Treatment management for pediatric obesity combines lifestyle changes, family support, and, in severe cases, medical interventions. Family-based strategies are key, encouraging healthy eating habits, regular physical activity, and reduced screen time. Behavioral therapy helps set achievable goals and address barriers, empowering children and families to make sustainable lifestyle adjustments. Dietitians often assist in designing individualized meal plans that focus on nutrient-rich foods and limit calorie-dense options. In cases of severe obesity with related health conditions, medications or surgery may be considered, particularly for adolescents. Continuous monitoring and support from healthcare providers are essential for long-term success and health improvement.
Clinician’s Approach to Sleep Apnea
A clinician's approach to sleep apnea begins with a thorough assessment of the patient's medical history, symptoms (such as snoring, choking, and daytime fatigue), and risk factors like obesity or hypertension. Diagnosis is typically confirmed through polysomnography or home sleep apnea testing, followed by treatment strategies such as continuous positive airway pressure (CPAP), lifestyle modifications, or surgical interventions depending on the severity and type of sleep apnea.
Case Based Approach to Arthritis
A case-based approach to arthritis involves analyzing individual patient cases to tailor diagnostic and therapeutic strategies based on specific symptoms, disease progression, and underlying causes. This method enhances clinical decision-making by providing personalized treatment plans and improving patient outcomes in conditions like osteoarthritis, rheumatoid arthritis, and psoriatic arthritis.