Fontes e referências

Lista consolidada das referências bibliográficas usadas nas calculadoras do Kit Clínico — escores, fórmulas e diretrizes de medicina, nutrição e veterinária.

Medicina

  1. Wells PS, Anderson DR, Rodger M, et al. Derivation of a simple clinical model to categorize patients probability of pulmonary embolism: increasing the model's utility with the SimpliRED D-dimer. Thrombosis and Haemostasis, 2000; 83(3): 416-420. PMID: 10744147.
  2. Wells PS, Anderson DR, Rodger M, et al. Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. New England Journal of Medicine, 2003; 349(13): 1227-1235. DOI: 10.1056/NEJMoa023153.
  3. Lip GYH, Nieuwlaat R, Pisters R, Lane DA, Crijns HJGM. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on atrial fibrillation. Chest, 2010; 137(2): 263-272. DOI: 10.1378/chest.09-1584.
  4. Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJGM, Lip GYH. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest, 2010; 138(5): 1093-1100. DOI: 10.1378/chest.10-0134.
  5. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron, 1976; 16(1): 31-41. DOI: 10.1159/000180580.
  6. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate (CKD-EPI). Annals of Internal Medicine, 2009; 150(9): 604-612. DOI: 10.7326/0003-4819-150-9-200905050-00006.
  7. Inker LA, Eneanya ND, Coresh J, et al. New creatinine- and cystatin C-based equations to estimate GFR without race. New England Journal of Medicine, 2021; 385(19): 1737-1749. DOI: 10.1056/NEJMoa2102953.
  8. Malinchoc M, Kamath PS, Gordon FD, Peine CJ, Rank J, ter Borg PCJ. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts (MELD). Hepatology, 2000; 31(4): 864-871. DOI: 10.1053/he.2000.5852.
  9. Kim WR, Biggins SW, Kremers WK, et al. Hyponatremia and mortality among patients on the liver-transplant waiting list (MELD-Na). New England Journal of Medicine, 2008; 359(10): 1018-1026. DOI: 10.1056/NEJMoa0801209.
  10. Pugh RNH, Murray-Lyon IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for bleeding oesophageal varices (Child-Pugh). British Journal of Surgery, 1973; 60(8): 646-649. DOI: 10.1002/bjs.1800600817.
  11. Lim WS, van der Eerden MM, Laing R, et al. Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study (CURB-65). Thorax, 2003; 58(5): 377-382. DOI: 10.1136/thorax.58.5.377.
  12. Fine MJ, Auble TE, Yealy DM, et al. A prediction rule to identify low-risk patients with community-acquired pneumonia (PSI). New England Journal of Medicine, 1997; 336(4): 243-250. DOI: 10.1056/NEJM199701233360402.
  13. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Critical Care Medicine, 1985; 13(10): 818-829. PMID: 3928249.
  14. Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. Intensive Care Medicine, 1996; 22(7): 707-710. DOI: 10.1007/BF01709751.
  15. Singer M, Deutschman CS, Seymour CW, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3, qSOFA). JAMA, 2016; 315(8): 801-810. DOI: 10.1001/jama.2016.0287.
  16. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale (Glasgow Coma Scale). Lancet, 1974; 304(7872): 81-84. DOI: 10.1016/S0140-6736(74)91639-0.
  17. Goff DC, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk (ASCVD Pooled Cohort Equations). Circulation, 2014; 129(25 Suppl 2): S49-S73. DOI: 10.1161/01.cir.0000437741.48606.98.
  18. Wilson PWF, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories (Framingham Risk Score). Circulation, 1998; 97(18): 1837-1847. DOI: 10.1161/01.CIR.97.18.1837.
  19. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke (CHADS2). JAMA, 2001; 285(22): 2864-2870. DOI: 10.1001/jama.285.22.2864.
  20. Subbe CP, Kruger M, Rutherford P, Gemmel L. Validation of a modified Early Warning Score in medical admissions (MEWS/NEWS). QJM, 2001; 94(10): 521-526. DOI: 10.1093/qjmed/94.10.521.

Nutrição

  1. Harris JA, Benedict FG. A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington, Publication n. 279, 1919. Washington, DC: Carnegie Institution.
  2. Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. American Journal of Clinical Nutrition, 1990; 51(2): 241-247. DOI: 10.1093/ajcn/51.2.241.
  3. FAO/WHO/UNU. Human Energy Requirements: Report of a Joint FAO/WHO/UNU Expert Consultation. FAO Food and Nutrition Technical Report Series, n. 1, 2004. Rome: Food and Agriculture Organization of the United Nations.
  4. Institute of Medicine. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients). Washington, DC: National Academies Press, 2005. DOI: 10.17226/10490.
  5. World Health Organization. Obesity: Preventing and Managing the Global Epidemic. WHO Technical Report Series, n. 894, 2000. Geneva: World Health Organization.
  6. World Health Organization. Waist Circumference and Waist-Hip Ratio: Report of a WHO Expert Consultation. Geneva: World Health Organization, 2008.
  7. Cuppari L (org.). Nutrição Clínica no Adulto. 4. ed. Barueri: Manole, 2019.
  8. Cederholm T, Jensen GL, Correia MITD, et al. GLIM criteria for the diagnosis of malnutrition — a consensus report from the global clinical nutrition community. Clinical Nutrition, 2019; 38(1): 1-9. DOI: 10.1016/j.clnu.2018.08.002.

Veterinária

  1. American Animal Hospital Association (AAHA). 2022 AAHA Nutrition and Weight Management Guidelines for Dogs and Cats. Journal of the American Animal Hospital Association, 2022; 58(6): 289-316. DOI: 10.5326/JAAHA-MS-7232.
  2. DiBartola SP (ed.). Fluid, Electrolyte, and Acid-Base Disorders in Small Animal Practice. 4th ed. St. Louis: Elsevier Saunders, 2012.
  3. Lyle KE, Hosgood G, Boysen SR. A retrospective evaluation of the use of the shock index in dogs and cats. Journal of Veterinary Emergency and Critical Care, 2014; 24(4): 408-413. DOI: 10.1111/vec.12198.
  4. Plumb DC. Plumb's Veterinary Drug Handbook. 9th ed. Hoboken: Wiley-Blackwell, 2018.
  5. Hand MS, Thatcher CD, Remillard RL, Roudebush P, Novotny BJ (eds.). Small Animal Clinical Nutrition. 5th ed. Topeka: Mark Morris Institute, 2010.
  6. Laflamme DP. Development and validation of a body condition score system for dogs. Canine Practice, 1997; 22(4): 10-15.
  7. Laflamme DP. Development and validation of a body condition score system for cats. Feline Practice, 1997; 25(5-6): 13-18.

Como citamos

Cada referência segue o formato Autor. Título. Revista, ano; volume(issue): páginas. DOI/PubMed. Para livros, indicamos editora, edição e ano. Os links DOI levam diretamente ao artigo no editor; os identificadores PMID podem ser consultados em PubMed.

Esta lista é revisada periodicamente. Se você encontrar uma referência desatualizada, incompleta ou um cálculo que pareça divergir da fonte citada, escreva para calculadoraestatistica@gmail.com que verificamos e corrigimos.

Aviso. Estas referências sustentam os cálculos do Kit Clínico, que têm finalidade educacional e informativa. Os resultados não substituem a avaliação, o diagnóstico, a prescrição ou o julgamento de um profissional de saúde habilitado.