Epidemiology of systemic inflammatory response syndrome and sepsis in cats hospitalized in a veterinary teaching hospital

Jonathan M. BabyakDepartment of Clinical Sciences, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA, 01536.

Search for other papers by Jonathan M. Babyak in
Current site
Google Scholar
PubMed
Close
 DVM, MS
and
Claire R. SharpDepartment of Clinical Sciences, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA, 01536.

Search for other papers by Claire R. Sharp in
Current site
Google Scholar
PubMed
Close
 BVMS, MS
View More View Less

Abstract

OBJECTIVE To describe the epidemiology of the systemic inflammatory response syndrome (SIRS) and sepsis in cats hospitalized in a veterinary teaching hospital.

DESIGN Observational study.

ANIMALS 246 client-owned cats.

PROCEDURES During a 3-month period, daily treatment records were evaluated for all hospitalized cats. Information extracted included signalment, temperature, heart rate, respiratory rate, diagnostic test results, diagnosis, duration of hospitalization, and outcome (survival or death). Cats were classified into 1 of 4 disease categories (sepsis [confirmed infection and SIRS], infection [confirmed infection without SIRS], noninfectious SIRS [SIRS without a confirmed infection], and no SIRS [no SIRS or infection]).

RESULTS Of the 246 cats, 26 and 3 were hospitalized 2 and 3 times, respectively; thus, 275 hospitalizations were evaluated. When SIRS was defined as the presence of ≥ 2 of 4 SIRS criteria, 17 cats had sepsis, 16 had infections, 81 had noninfectious SIRS, and 161 were classified in the no SIRS category at hospital admission. The prevalence of sepsis at hospital admission was 6.2 cases/100 admissions. Four cats developed sepsis while hospitalized, resulting in a sepsis incidence rate of 1.5 cases/100 hospital admissions. Four of 17 cats with sepsis at hospital admission and 3 of 4 cats that developed sepsis while hospitalized died or were euthanized, resulting in a mortality rate of 33.3% for septic cats; 239 hospitalizations resulted in survival, 28 resulted in euthanasia, and 8 resulted in death.

CONCLUSIONS AND CLINICAL RELEVANCE Results indicated that many hospitalized cats have evidence of SIRS and some have sepsis. In cats, sepsis is an important clinical entity with a high mortality rate.

Abstract

OBJECTIVE To describe the epidemiology of the systemic inflammatory response syndrome (SIRS) and sepsis in cats hospitalized in a veterinary teaching hospital.

DESIGN Observational study.

ANIMALS 246 client-owned cats.

PROCEDURES During a 3-month period, daily treatment records were evaluated for all hospitalized cats. Information extracted included signalment, temperature, heart rate, respiratory rate, diagnostic test results, diagnosis, duration of hospitalization, and outcome (survival or death). Cats were classified into 1 of 4 disease categories (sepsis [confirmed infection and SIRS], infection [confirmed infection without SIRS], noninfectious SIRS [SIRS without a confirmed infection], and no SIRS [no SIRS or infection]).

RESULTS Of the 246 cats, 26 and 3 were hospitalized 2 and 3 times, respectively; thus, 275 hospitalizations were evaluated. When SIRS was defined as the presence of ≥ 2 of 4 SIRS criteria, 17 cats had sepsis, 16 had infections, 81 had noninfectious SIRS, and 161 were classified in the no SIRS category at hospital admission. The prevalence of sepsis at hospital admission was 6.2 cases/100 admissions. Four cats developed sepsis while hospitalized, resulting in a sepsis incidence rate of 1.5 cases/100 hospital admissions. Four of 17 cats with sepsis at hospital admission and 3 of 4 cats that developed sepsis while hospitalized died or were euthanized, resulting in a mortality rate of 33.3% for septic cats; 239 hospitalizations resulted in survival, 28 resulted in euthanasia, and 8 resulted in death.

CONCLUSIONS AND CLINICAL RELEVANCE Results indicated that many hospitalized cats have evidence of SIRS and some have sepsis. In cats, sepsis is an important clinical entity with a high mortality rate.

Contributor Notes

Dr Sharp's present address is School of Veterinary and Life Sciences, College of Veterinary Medicine, Murdoch University, Murdoch, WA 6163, Australia.

Address correspondence to Dr. Sharp (Claire.sharp@tufts.edu).
  • 1. Dombrovskiy VY, Martin AA, Sunderram J, et al. Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Crit Care Med 2007; 35:12441250.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 2. Martin GS, Mannino DM, Eaton S, et al. The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med 2003; 348:15461554.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 3. Brady CA, Otto CM, Van Winkle TJ, et al. Severe sepsis in cats: 29 cases (1986–1998). J Am Vet Med Assoc 2000; 217:531535.

  • 4. Ruthrauff CM, Smith J, Glerum L. Primary bacterial septic peritonitis in cats: 13 cases. J Am Anim Hosp Assoc 2009; 45:268276.

  • 5. Parsons KJ, Owen LJ, Lee K, et al. A retrospective study of surgically treated cases of septic peritonitis in the cat (2000–2007). J Small Anim Pract 2009; 50:518524.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6. Costello MF, Drobatz KJ, Aronson LR, et al. Underlying cause, pathophysiologic abnormalities, and response to treatment in cats with septic peritonitis: 51 cases (1990–2001). J Am Vet Med Assoc 2004; 225:897902.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 7. Barrs VR, Allan GS, Martin P, et al. Feline pyothorax: a retrospective study of 27 cases in Australia. J Feline Med Surg 2005; 7:211222.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8. Waddell LS, Brady CA, Drobatz KJ. Risk factors, prognostic indicators, and outcome of pyothorax in cats: 80 cases (1986–1999). J Am Vet Med Assoc 2002; 221:819824.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9. Sergeeff JS, Armstrong PJ, Bunch SE. Hepatic abscesses in cats: 14 cases (1985–2002). J Vet Intern Med 2004; 18:295300.

  • 10. Declue AE, Delgado C, Chang CH, et al. Clinical and immunologic assessment of sepsis and the systemic inflammatory response syndrome in cats. J Am Vet Med Assoc 2011; 238:890897.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11. Talan DA, Moran GJ, Abrahamian FM. Severe sepsis and septic shock in the emergency department. Infect Dis Clin North Am 2008; 22:131.

  • 12. Sakr Y, Elia C, Mascia L, et al. Epidemiology and outcome of sepsis syndromes in Italian ICUs: a multicentre, observational cohort study in the region of Piedmont. Minerva Anestesiol 2013; 79:9931002.

    • Search Google Scholar
    • Export Citation
  • 13. Singhal S, Allen MW, McAnnally JR, et al. National estimates of emergency department visits for pediatric severe sepsis in the United States. Peer J 2013; 1:e79.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14. Angus DC, Wax RS. Epidemiology of sepsis: an update. Crit Care Med 2001; 29(suppl 1):S109S116.

  • 15. Angus DC, Linde-Zwirble WT, Lidicker J, et al. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome, and associated costs of care. Crit Care Med 2001; 29:13031310.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16. DeClue AE, Osterbur K, Bigio A, et al. Evaluation of serum NT-pCNP as a diagnostic and prognostic biomarker for sepsis in dogs. J Vet Intern Med 2011; 25:453459.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 17. Kenney EM, Rozanski EA, Rush JE, et al. Association between outcome and organ system dysfunction in dogs with sepsis: 114 cases (2003–2007). J Am Vet Med Assoc 2010; 236:8387.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 18. Hayes G, Mathews K, Doig G, et al. The Feline Acute Patient Physiologic and Laboratory Evaluation (Feline APPLE) Score: a severity of illness stratification system for hospitalized cats. J Vet Intern Med 2011; 25:2638.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19. Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42:377381.

    • Crossref
    • Search Google Scholar
    • Export Citation

Advertisement