Diagnostic and Therapeutic Algorithms in Internal Medicine for Dogs and Cats
by Federico Fracassi
September 2022
Diagnostic and Therapeutic Algorithms in Internal Medicine for Dogs and Cats PDF
Each one of the 85 algorithms guides the reader step-by-step with logical, practical, cost-effective options to proceed from a general concern, laboratory abnormality, or imaging finding to a specific diagnosis or treatment. A concise summary is provided on the first page of each topic, the algorithm follows, and then succinct explanations are provided for many of the recommended steps. Two useful aspects were included: color codes and links for additional information within the algorithm.
The problem-oriented approach (POA) is the method recommended by the College of Internal Medicine to address and resolve medical questions and problems. Hence the idea of creating a book based on algorithms dealing with the main clinical and laboratory canine and feline clinical abnormalities, using an innovative perspective. Each of the 85 chapters begins with a short introduction which includes the basic pathophysiological and classification information.
By means of each algorithm, the clinician is guided, step by step, in carrying out diagnostic investigations in a sequential manner, reaching a diagnosis, and setting up treatment. In this book, two useful and innovative aspects were included: color codes and links for additional information within the algorithm. Yellow indicates the diagnostic path, red the diagnosis, and blue is the therapy; this allows the veterinarian to be guided through the diagnostic labyrinth in order to reach the most appropriate therapy. Inside the red boxes, the list of differential diagnoses for each problem can quickly be identified.
By following the yellow boxes, one can understand how to reach these diagnoses and optimize the diagnostic protocol. Moreover, comprehensive notes, linked to the algorithms by references, give more details regarding a specific diagnostic investigation, a particular disease, or the therapy recommended.
PDF 44.9 MB fn