Predictors of the Generalization of Infectious Process

A.A. Vitik1, N.P. Shen1, N.V. Sukhanova2, L.N. Pylenko2

1 Department of anesthesiology and resuscitation of the institute of continuous professional development Tyumen’ state medical university Ministry of Healthcare Russian Federation, Tyumen’ city

2 Provincial clinical hospital is № 1, Tyumen’ city

For correspondence: Natalia Petrovna Shen — MD, professor, chairman of department of anesthesiology and resuscitation of the institute of continuous professional development FGBOU INTO Tyumen’ GMU of the Ministry of Pub. Health of Russia, Tyumen’ city; e-mail: nataliashen@rambler.ru

For citation: Vitik AA, Shen NP, Sukhanova NV, Pylenko LN. Predictors of the Generalization of Infectious Process. Intensive Care Herald. 2017;3:63–68.


This article provides results of the retrospective analysis of the medical records of the patients treated at the septic ICU. The basic predictors of the generalization of infectious process, their authenticity and statistical significance are revealed using bilateral paired rank correlation analysis. Pointing out such factors as elderly and senile age, diabetes mellitus and traumatic operations among factors which do not affect the generalization of the infectious process was totally new in the study.

Keywords: generalization of infectious process, predictors, risk factors, concomitant diseases

Received: 08.03.2017


References

  1. Тимохина Т.Х., Варницына В.В., Паромова Я.И., Курлович Н.А., Кашуба Э.А. и др. Адаптивный потенциал aureus при госпитальных инфекциях. Медицинская наука и образование Урала. 2006; 2: 94–103. [Timohina T.H., Varnicyna V.V., Paromova Ya.I., Kurlovich N.A., Kashuba E.A. et al. Adaptivnyj potencial St. aureus pri gospital’nyh infekciyah. Medicinskaya nauka i obrazovanie Urala. 2006; 2: 94–103. (In Russ)]
  2. Руднов В.А., Бельский Д.В., Дехнич А.В. Инфекции в ОРИТ России: результаты национального многоцентрового исследования. Клиническая микробиология и антимикробная химиотерапия. 2011; 13(4): 294–303. [Rudnov A., Bel’skij D.V., Dekhnich A.V. Infekcii v ORIT Rossii: rezul’taty nacional’nogo mnogocentrovogo issledovaniya. Klinicheskaya mikrobiologiya i antimikrobnaya himioterapiya. 2011; 13(4): 294–303. (In Russ)]
  3. Четвернина Е.А., Абрамовских О.С., Савочкина А.Ю., Торопова Л.Р., Молчанова И.В. Частота распространения антибиотикорезистентных штаммов среди микроорганизмов, выделенных от больных сепсисом. Медицинский академический журнал. 2016; 4: 94–95. [Chetvernina E.A., Abram- ovskih O.S., Savochkina Yu., Toropova L.R., Molchanova I.V. Chastota rasprostraneniya antibiotikorezistentnyh shtam- mov sredi mikroorganizmov, vydelennyh ot bol’nyh sepsisom. Medicinskij akademicheskij zhurnal. 2016; 4: 94–95. (In Russ)]
  4. Беденков А.В., Решедько Г.К., Кречикова О.И., Клясова Г.А., Ортенберг Э.А. и др. Чувствительность нозокомиальных штаммов Pseudomonas aeruginosa, выделенных из крови. Клиническая микробиология и антимикробная химиотера- пия. 2001; 3 (прил. 1): 9–10. [Bedenkov V., Reshed’ko G.K., Krechikova O.I., Klyasova G.A., Ortenberg E.A. et al. Chuvstvitel’nost’ nozokomial’nyh shtammov Pseudomonas aeruginosa, vydelennyh iz krovi. Klinicheskaya mikrobiologiya i antimikrob- naya himioterapiya. 2001; 3 (pril. 1): 9–10. (In Russ)]
  5. Abou Chakra C.N., Pepin J., Sirard S., Valiquette L. Risk Factors for Recurrence, Complications and Mortality in Clostridium difficile Infection: A Systematic Review. PLoS One. 2014; 9(6): e98400. Published online 2014 Jun
  6. Moucha S., Clyburn T., Evans R.P., Prokuski L. Modifiable risk factors for surgical site infection. J. Bone Joint Surg. Am. 2011; 93(4): 398–404.
  7. Сепсис: классификация, клинико-диагностическая концепция и лечение: практическое руководство: под ред. В.С. Савельева, Б.Р. Гельфанда. 3-е изд., доп. и перераб. М.: ООО «Издательство “Медицинское информационное агентство”», 2013. [Sepsis: klassifikaciya, kliniko-diagnosticheskaya koncepciya i lechenie: prakticheskoe rukovodstvo: ed. V.S. Savel’ev, B.R. Gel’fand. 3rd ed. M.: OOO «Izdatel’stvo “Medicinskoe informacionnoe agentstvo”», 2013. (In Russ)]
  8. Singer M., Deutschman C.S., Seymour C.W. et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). 2016; 315(8): 801–810. doi: 10.1001/ jama.2016.0287.
  9. Hopkins J.A., Lee J.C., Wilson S.E. Susceptibility of intra-abdominal isolates at operation: a predictor of postoperative Am. Surg. 1993; 59(12): 791–796.
  10. Al-Khafaji A.H., Pinsky M.R. Multiple Organ Dysfunction Syndrome in Sepsis. URL: http://emedicine.medscape.com/arti- cle/169640-treatment. Updated: Mar 07, 2017. (Дата обращения: 03.2017.)
  11. Solomkin J.S., Mazuski J.E., Bradley J.S., Rodvold K.A., Gold- stein E., Baron E.J. et al. Diagnosis and Management of Complicated Intra-abdominal Infection in Adults and Children: Guidelines by the Surgical Infection Society and the Infectious Diseases Society of America. Complicated Intra-abdominal Infection Guidelines. CID. 2010; 50(2): 133–164.
  12. Limper , de Kruif M.D., Duits A.J., Brandjes D.P., van Gorp E.C. The diagnostic role of procalcitonin and other biomarkers in dis- criminating infectious from non-infectious fever. J. Infect. 2010; 60(6): 409–416. doi: 10.1016/j.jinf.2010.03.016.
  13. Shim R., Wong C.H.Y. Ischemia, Immunosuppression and Infection — Tackling the Predicaments of Post-Stroke Complica- tions. Int. J. Mol. Sci. 2016; 17(1):
  14. Rodgers G.L., Mortensen J., Fisher M.C., Lo A., Cresswell A., Long S.S. Predictors of infectious complications after burn injuries in children. Infect. Dis J. 2000; 19(10): 990– 995.
  15. Desautels ,Calvert J., Hoffman J., Jay M. et al. Monitoring Editor: Gunther Eysenbach. Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Ma- chine Learning Approach. Reviewed by Gordon Bernard, Craig Coopersmith, and Jean-Louis Vincent. JMIR Med. Inform. 2016; 4(3): e28. doi: 10.2196/medinform.5909.
  16. Layios , Delierneux C., Hego A. et al. Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study. Intensive Care Med. 2017; 5(1): 32. doi: 10.1186/s40635-017-0145-2.
  17. Козлов Р.С., Дехнич А.В. Справочник по антимикробной терапии: выпуск 3. Смоленск: МАКМАХ, 2013. [Kozlov R.S., Dekhnich V. Spravochnik po antimikrobnoj terapii: vypusk 3. Smolensk: MAKMAH, 2013. (In Russ)].
  18. Davies J., Davies D. Origins and Evolution of Antibiotic Resistance. Microbiol. Mol. Biol. 2010; 74(3): 417–433. doi: 10.1128/MMBR.00016-10.
  19. Allen K., Donato J., Wang H.H., Cloud-Hansen K.A. et al. Call of the wild: antibiotic resistance genes in natural environments. Nat. Rev. Microbiol. 2010; 8(4): 251–259.
  20. Hu , Yang X., Qin J., Lu N., Cheng G. et al. Metagenome-wide analysis of antibiotic resistance genes in a large cohort of human gut microbiota. Nat. Commun. 2013; 4: 2151. doi: 10.1038/ ncomms3151.
  21. Pamer E.G. Resurrecting the intestinal microbiota to combat antibiotic-resistant pathogens. 2016; 352(6285): 535–538. doi: 10.1126/science.aad9382.
  22. Polanczyk C.A., Marcantonio E., Goldman L., Rohde L.E., Orav J. et al. Impact of age on perioperative complications and length of stay in patients undergoing noncardiac surgery. Intern. Med. 2001; 134(8): 637–643.
  23. Saad A.M., Czul , Sakuraba A., Rubin D.T., Cohen R.D. Age of Diagnosis is Associated with Disease Presentation and Therapeutic Complications in Patients with Crohn’s Disease. Inflamm. Bowel Dis. 2016; 22(5): 1027–1031. doi: 10.1097/ MIB.0000000000000732.
  24. Meeuwis M.A., de Jongh C., Roukema J.A. et al. Technical errors and complications in orthopaedic trauma surgery. Orthop. Trauma Surg. 2016; 136: 185–193. doi: 10.1007/ s00402-015-2377-5.
  25. McMahon D., MacIver C., Smith M., Stathopoulos P., Wales C. et al. Postoperative complications after major head and neck surgery with free flap repair — prevalence, patterns, and determinants: a prospective cohort study. Br. J. Oral. Maxillofac Surg. 2013; 51(8): 689–695. doi: 10.1016/j.bjoms.2013.04.015.