Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Оценка на телесната кондиция при кучета и котки× | Оценка на риска при анестезия във ветеринарната медицина× | |
|---|---|---|
| Област | Ветеринарна медицина | Ветеринарна медицина |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1997-present | 1941-present |
| Създател≠ | Purina and veterinary nutrition science | American Society of Anesthesiologists (ASA) |
| Тип≠ | Clinical assessment pipeline | Risk assessment and stratification |
| Основополагащ източник≠ | 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 ↗ |
| Други названия | body condition assessment, weight assessment, obesity screening | surgical risk scoring, preoperative assessment, ASA scoring |
| Свързани | 3 | 3 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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