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1.
Medicine (Baltimore) ; 102(37): e34906, 2023 Sep 15.
Article in English | MEDLINE | ID: mdl-37713837

ABSTRACT

Heart failure and diabetes mellitus are 2 common and closely intertwined chronic conditions that often coexist in individuals. The relationship between heart failure and diabetes is bidirectional, meaning that each condition can influence the development and progression of the other. Understanding this complex interplay is crucial for optimizing the management and outcomes of patients with these comorbidities. This review comprehensively analyzed the literature to examine the bidirectional relationship between heart failure and diabetes. We searched various electronic databases and included studies that explored the pathophysiological mechanisms, epidemiology, clinical implications, and therapeutic considerations associated with this relationship. The bidirectional relationship between heart failure and diabetes is multifactorial and involves several interconnected mechanisms. Diabetes is a recognized risk factor for heart failure, increasing the risk of its development and accelerating its progression. On the other hand, heart failure can contribute to the development of insulin resistance and worsen glycemic control in patients with diabetes. Shared risk factors, such as obesity, hypertension, and dyslipidemia, contribute to development of both conditions. Additionally, hyperglycemia, insulin resistance, chronic inflammation, oxidative stress, and mitochondrial dysfunction play significant roles in the pathogenesis of heart failure in individuals with diabetes. The bidirectional relationship between heart failure and diabetes has important clinical implications. Patients with heart failure and diabetes have worse outcomes, including higher hospitalization rates, morbidity, and mortality, than those without diabetes. Optimal management strategies should target both conditions simultaneously, focusing on lifestyle modifications, pharmacotherapy, glycemic control, and cardiovascular risk reduction.


Subject(s)
Diabetes Mellitus , Heart Failure , Hyperglycemia , Insulin Resistance , Humans , Diabetes Mellitus/epidemiology , Heart Failure/epidemiology , Heart Failure/etiology , Risk Factors
2.
Medicine (Baltimore) ; 102(38): e35237, 2023 Sep 22.
Article in English | MEDLINE | ID: mdl-37746969

ABSTRACT

Sickle cell disease (SCD) is a hereditary blood disorder characterized by the production of abnormal hemoglobin molecules that cause red blood cells to take on a crescent or sickle shape. This condition affects millions of people worldwide, particularly those of African, Mediterranean, Middle Eastern, and South Asian descent. This paper aims to provide an overview of SCD by exploring its causes, symptoms, and available treatment options. The primary cause of SCD is a mutation in the gene responsible for producing hemoglobin, the protein that carries oxygen in red blood cells. This mutation has abnormal hemoglobin called hemoglobin S, which causes red blood cells to become stiff and sticky, leading to various health complications. Patients with SCD may experience recurrent pain, fatigue, anemia, and increased infection susceptibility. Treatment options for SCD focus on managing symptoms and preventing complications. This includes pain management with analgesics, hydration, and blood transfusions to improve oxygen delivery. Hydroxyurea, a medication that increases the production of fetal hemoglobin, is commonly used to reduce the frequency and severity of pain crises. Additionally, bone marrow or stem cell transplants can cure select individuals with severe SCD. Finally, understanding the causes, symptoms, and treatment options for SCD is crucial for healthcare professionals, patients, and their families. It enables early diagnosis, effective symptom management, and improved quality of life for individuals with this chronic condition.


Subject(s)
Anemia, Sickle Cell , Quality of Life , Humans , Anemia, Sickle Cell/diagnosis , Anemia, Sickle Cell/etiology , Anemia, Sickle Cell/genetics , Anemia, Sickle Cell/therapy , Causality , Erythrocytes
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