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| Βαθμολόγηση Σωματικής Κατάστασης (Body Condition Score) για Σκύλους και Γάτες× | Βαθμολόγηση Κινδύνου Αναισθησίας στην Κτηνιατρική× | |
|---|---|---|
| Πεδίο | Κτηνιατρική | Κτηνιατρική |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1997-present | 1941-present |
| Δημιουργός≠ | Purina and veterinary nutrition science | American Society of Anesthesiologists (ASA) |
| Τύπος≠ | Clinical assessment pipeline | Risk assessment and stratification |
| Θεμελιώδης πηγή≠ | Purina PetCare Company. (2006). Body Condition Score Charts for Dogs and Cats. Retrieved from Purina ProPlan Veterinary Diets resource center. link ↗ | American Society of Anesthesiologists (ASA) House of Delegates. (2020). ASA Physical Status Classification System. Retrieved from ASA official website: https://www.asahq.org/standards-and-guidelines/asa-physical-status-classification-system link ↗ |
| Εναλλακτικές ονομασίες | body condition assessment, weight assessment, obesity screening | surgical risk scoring, preoperative assessment, ASA scoring |
| Συναφείς | 3 | 3 |
| Σύνοψη≠ | Body condition scoring is a systematic clinical assessment method for evaluating a dog's or cat's body fat and muscle mass relative to ideal standards. Developed and standardized by Purina and veterinary nutrition experts in the 1990s-2000s, it provides objective evaluation of nutritional status, guides dietary management, and identifies obesity and malnutrition as contributors to disease. Body condition scoring is fundamental to preventive medicine and geriatric care in small animal practice. | Anesthesia risk scoring is a systematic preoperative assessment method that stratifies patient risk based on medical history, physical findings, and health status. Adapted from the American Society of Anesthesiologists Physical Status classification (developed for humans in 1941) and refined for veterinary species through confidential enquiry data and clinical research, it guides anesthetic technique selection, identifies high-risk patients requiring optimization, and predicts perioperative morbidity and mortality. |
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