Effect of dilution on sedimentational separation of bacteria from blood.


Journal

Biotechnology progress
ISSN: 1520-6033
Titre abrégé: Biotechnol Prog
Pays: United States
ID NLM: 8506292

Informations de publication

Date de publication:
11 2020
Historique:
received: 15 04 2020
revised: 18 06 2020
accepted: 04 07 2020
pubmed: 28 7 2020
medline: 2 9 2021
entrez: 28 7 2020
Statut: ppublish

Résumé

Bacteria must be separated from septic whole blood in preparation for rapid antibiotic susceptibility tests. This work improves upon past work isolating bacteria from whole blood by exploring an important experimental factor: Whole blood dilution. Herein, we use the continuity equation to model red blood cell sedimentation and show that overall spinning time decreases as the blood is diluted. We found that the bacteria can also be captured more efficiently from diluted blood, up to approximately 68 ± 8% recovery (95% confidence interval). However, diluting blood both requires and creates extra fluid that end users must handle; an optimal dilution, which maximizes bacteria recovery and minimizes waste, was found to scale with the square root of the whole blood hematocrit. This work also explores a hypothesis that plasma backflow, which occurs as red cells move radially outward, causes bacterial enrichment in the supernatant plasma with an impact proportional to the plasma backflow velocity. Bacteria experiments carried out with diluted blood demonstrate such bacterial enrichment, but not in the hypothesized manner as enrichment occurred only in undiluted blood samples at physiological hematocrit.

Identifiants

pubmed: 32715664
doi: 10.1002/btpr.3056
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3056

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI116989
Pays : United States

Informations de copyright

© 2020 American Institute of Chemical Engineers.

Références

Rhee C, Dantes R, Epstein L, et al. Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014. JAMA. 2017;318(13):1241-1249.
Schoenberg MH, Weiss M, Radermacher P. Outcome of patients with sepsis and septic shock after ICU treatment. Langenbecks Arch Surg. 1998;383(1):44-48.
Shankar-Hari M, Phillips GS, Levy ML, et al. Developing a new definition and assessing new clinical criteria for septic shock: for the third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA. 2016;315(8):775-787.
Prescott HC, Iwashyna TJ. Improving sepsis treatment by embracing diagnostic uncertainty. Ann Am Thorac Soc. 2019;16(4):426-429.
Rahal JJ, Urban C, Segal-Maurer S. Nosocomial antibiotic resistance in multiple gram-negative species: experience at one hospital with squeezing the resistance balloon at multiple sites. Clin Infect Dis. 2002;34(4):499-503.
Pardo J, Klinker KP, Borgert SJ, Trikha G, Rand KH, Ramphal R. Time to positivity of blood cultures supports antibiotic de-escalation at 48 hours. Ann Pharmacother. 2014;48(1):33-40.
Perez KK, Olsen RJ, Musick WL, et al. Integrating rapid pathogen identification and antimicrobial stewardship significantly decreases hospital costs. Arch Pathol Lab Med. 2013;137(9):1247-1254.
Novosad SA, Sapiano MR, Grigg C, et al. Vital signs: epidemiology of sepsis: prevalence of health care factors and opportunities for prevention. Morb Mortal Wkly Rep. 2016;65(33):864-869.
Martin GS, Mannino DM, Eaton S, Moss M. The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med. 2003;348(16):1546-1554.
Gupta S, Sakhuja A, Kumar G, McGrath E, Nanchal RS, Kashani KB. Culture-negative severe sepsis: nationwide trends and outcomes. Chest. 2016;150(6):1251-1259.
Dantes RB, Epstein L. Combatting sepsis: a public health perspective. Clin Infect Dis. 2018;67(8):1300-1302.
Buckman SA, Turnbull IR, Mazuski JE. Empiric antibiotics for sepsis. Surg Infect. 2018;19(2):147-154.
Somily AM, Habib HA, Torchyan AA, et al. Time-to-detection of bacteria and yeast with the BACTEC FX versus BacT/alert Virtuo blood culture systems. Ann Saudi Med. 2018;38(3):194-199.
Kreger BE, Craven DE, Carling PC, McCabe WR. Gram-negative bacteremia. III. Reassessment of etiology, epidemiology and ecology in 612 patients. Am J Med. 1980;68(3):332-343.
Yagupsky P, Nolte FS. Quantitative aspects of septicemia. Clin Microbiol Rev. 1990;3(3):269-279.
Schoepp NG, Khorosheva EM, Schlappi TS, et al. Digital quantification of DNA replication and chromosome segregation enables determination of antimicrobial susceptibility after only 15 minutes of antibiotic exposure. Angew Chem Int Ed Engl. 2016;55(33):9557-9561.
Schoepp NG, Schlappi TS, Curtis MS, et al. Rapid pathogen-specific phenotypic antibiotic susceptibility testing using digital LAMP quantification in clinical samples. Sci Transl Med. 2017;9(410):693.
Safavieh M, Pandya HJ, Venkataraman M, et al. Rapid real-time antimicrobial susceptibility testing with electrical sensing on plastic microchips with printed electrodes. ACS Appl Mater Interfaces. 2017;9(14):832-840.
Alizadeh M, Wood RL, Buchanan CM, et al. Rapid separation of bacteria from blood-chemical aspects. Colloids Surf B Biointerfaces. 2017;154:365-372.
Buchanan CM, Wood RL, Hoj TR, et al. Rapid separation of very low concentrations of bacteria from blood. J Microbiol Methods. 2017;139:48-53.
Pitt WG, Alizadeh M, Blanco R, et al. Factors affecting sedimentational separation of bacteria from blood. Biotechnol Prog. 2019;36(1):e2892.
Wood RL, Whitehead JP, Hunter AK, McClellan DS, Pitt WG. An experimental investigation of interfacial instability in separated blood. AIChE J. 2019;65(4):1376-1386.
Antonopoulou E, Rohmann-Shaw CF, Sykes TC, Cayre OJ, Hunter TN, Jimack PK. Numerical and experimental analysis of the sedimentation of spherical colloidal suspensions under centrifugal force. Phys Fluids. 2018;30(3):030702.
Sangani AS, Acrivos A. Slow flow through a periodic array of spheres. Int J Multiphas Flow. 1982;8(4):343-360.
Tenneti S, Garg R, Subramaniam S. Drag law for monodisperse gas-solid systems using particle-resolved direct numerical simulation of flow past fixed assemblies of spheres. Int J Multiphas Flow. 2011;37(9):1072-1092.
Bar S, Streichman S, Marmur A. The sedimentation coefficient of red blood cell suspensions as a measure of deformability: continuous monitoring of centrifugal sedimentation. Chem Eng Sci. 1997;52(6):1059-1064.
Patwardhan VS, Tien C. Sedimentation and liquid fluidization of solid particles of different sizes and densities. Chem Eng Sci. 1985;40(7):1051-1060.
Richardson JF, Zaki WN. The sedimentation of a suspension of uniform spheres under conditions of viscous flow. Chem Eng Sci. 1954;3(2):65-73.
Whitmore RL. The sedimentation of suspensions of spheres. British J Appl Phys. 1955;6:239-244.
Lerche D, Fromer D. Theoretical and experimental analysis of the sedimentation kinetics of concentrated red cell suspensions in a centrifugal field: determination of the aggregation and deformation of RBC by flux density and viscosity functions. Biorheology. 2001;38(2-3):249-262.
Davis RH, Gecol H. Hindered settling function with no empirical parameters for polydisperse suspensions. AIChE J. 1994;40(3):570-575.
Sartory WK. Three-component analysis of blood sedimentation by the method of characteristics. Math Biosci. 1977;33(1):145-165.
Bargieł M, Ford RA, Tory EM. Simulation of sedimentation of polydisperse suspensions: a particle-based approach. AIChE J. 2005;51(9):2457-2468.
Kynch GJ. A theory of sedimentation. Am J Math Phys. 1952;48:166.
Bürger R, Hvistendahl Karlsen K. On some upwind difference schemes for the phenomenological sedimentation-consolidation model. J Eng Math. 2001;41(2):145-166.
Detloff T, Lerche D. Centrifugal separation in tube and disc geometries: experiments and theoretical models. Acta Mech. 2008;201(1):83-94.
Godunov S, Bohachevsky I. Finite difference method for numerical computation of discontinuous solutions of the equations of fluid dynamics. Matematičeskij Sbornik. 1959;47:271-306.
Lapierre F, Gooley A, Breadmore M. Principles around accurate blood volume collection using capillary action. Langmuir. 2017;33(50):220-225.
Schindelin J, Arganda-Carreras I, Frise E, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676-682.
Kubitschek HE. Cell volume increase in Escherichia coli after shifts to richer media. J Bacteriol. 1990;172(1):94-101.

Auteurs

Clifton M Anderson (CM)

Department of Chemical Engineering, Brigham Young University, Provo, Utah, USA.

William G Pitt (WG)

Department of Chemical Engineering, Brigham Young University, Provo, Utah, USA.

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