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Starling equation

From Wikipedia, the free encyclopedia
Mathematical description of fluid movements
Not to be confused with theFrank–Starling law that describes the relationship between stroke volume and end diastolic volume.
This articleneeds attention from an expert in medicine or physics. The specific problem is:The article content is very technical and needs clarification before normal editors are able to confidently make changes. See thetalk page for details.WikiProject Medicine orWikiProject Physics may be able to help recruit an expert.(November 2020)

TheStarling principle holds that fluid movement across a semi-permeable blood vessel such as a capillary or small venule is determined by thehydrostatic pressures andcolloid osmotic pressures (oncotic pressure) on either side of a semipermeable barrier that sieves the filtrate, retarding larger molecules such as proteins from leaving the blood stream. As all blood vessels allow a degree of protein leak , true equilibrium across the membrane cannot occur and there is a continuous flow of water with small solutes. The molecular sieving properties of the capillary wall reside in a recently-discovered endocapillary layer rather than in the dimensions of pores through or between the endothelial cells.[1] This fibre matrix endocapillary layer is called the endothelial glycocalyx.TheStarling equation describes that relationship in mathematical form and can be applied to many biological and non-biological semipermeable membranes.

The equation

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The Starling equation as applied to a blood vessel wall reads as

 Jv=LpS([PcPi]σ[πpπg]){\displaystyle \ J_{v}=L_{\mathrm {p} }S([P_{\mathrm {c} }-P_{\mathrm {i} }]-\sigma [\pi _{\mathrm {p} }-\pi _{\mathrm {g} }])}

where:

Pressures are customarily measured inmillimetres of mercury (mmHg), and the filtration coefficient in millilitres per minute per millimetre of mercury (ml·min−1·mmHg−1).

The rate at which fluid is filtered across vascular endothelium (transendothelial filtration) is determined by the sum of two outward forces, capillary pressure (Pc{\displaystyle P_{c}}) and colloid osmotic pressure beneath the endothelial glycocalyx (πg{\displaystyle \pi _{g}}), and two absorptive forces, plasma protein osmotic pressure (πp{\displaystyle \pi _{p}}) and interstitial pressure (Pi{\displaystyle P_{i}}). The Starling equation is the first of two Kedem–Katchalski equations which bring nonsteady state thermodynamics to the theory of osmotic pressure across membranes that are at least partly permeable to the solute responsible for the osmotic pressure difference.[2][3] The second Kedem–Katchalsky equation explains the trans endothelial transport of solutes,Js{\displaystyle J_{s}}.

It is now known that the average colloid osmotic pressure of the interstitial fluid has no effect onJv{\displaystyle J_{v}}. The colloid osmotic pressure difference that opposes filtration is now known to be π'p minus the subglycocalyxπg{\displaystyle \pi _{g}}.The subglycocalyx space is a very small but vitally important micro domain of the total interstitial fluid space. The concentration of soluble proteins in that microdomain, which determinesπg{\displaystyle \pi _{g}}, is close to zero while there is adequate filtration to flush them out of the interendothelial clefts. For this reasonJv{\displaystyle J_{v}} is much less than previously calculated and is tightly regulated . Any transient rise in plasma colloid osmotic pressure or fall in capillary hydrostatic pressure sufficient to allow reverse (negative)Jv{\displaystyle J_{v}} causes unopposed diffusion of interstitial proteins to the subglycocalyx space, reducing the colloid osmotic pressure difference that was driving absorption of fluid to the capillary. The dependence ofπg{\displaystyle \pi _{g}} upon the localJv{\displaystyle J_{v}} has been called The Glycocalyx Model or the Michel-Weinbaum model, in honour of two scientists who, independently, described the filtration function of the glycocalyx. The Michel-Weinbaum Model explains how most continuous capillaries are in a steady state of filtration along their entire length most of the time. Transient disturbances of the Starling forces return rapidly to steady state filtration.

Filtration coefficient

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Main article:Filtration coefficient

In some texts the product of hydraulic conductivity and surface area is called the filtration co-efficient Kfc.[citation needed]

Reflection coefficient

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Staverman's reflection coefficient,σ, is a unitless constant that is specific to the permeability of a membrane to a given solute.[4]

The Starling equation, written withoutσ, describes the flow of a solvent across a membrane that is impermeable to the solutes contained within the solution.[5]

σn corrects for the partial permeability of a semipermeable membrane to a soluten.[5]

Whereσ is close to 1, the plasma membrane is less permeable to the denotated species (for example, larger molecules such as albumin and other plasma proteins), which may flow across the endothelial lining, from higher to lower concentrations, more slowly, while allowing water and smaller solutes through the glycocalyx filter to the extravascular space.[5]

  • Glomerular capillaries have a reflection coefficient close to 1 as normally no protein crosses into the glomerular filtrate.
  • In contrast,hepatic sinusoids have no reflection coefficient as they are fully permeable to protein. Hepatic interstitial fluid within the Space of Diss has the same colloid osmotic pressure as plasma and so hepatocyte synthesis of albumin can be regulated.

Approximate values

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Following are typical values for the variables in the Starling equation which regulate netJv{\displaystyle J_{v}} to about 0.1ml per second, 5-6 ml per minute or about 8 litres per day.

LocationPc (mmHg)[6]Pi (mmHg)[6]σπc (mmHg)[6]σπg (mmHg)[6]
arteriolar end ofcapillary+35−2+28depends on localJv{\displaystyle J_{v}}
venule+15−2+28depends on localJv{\displaystyle J_{v}}

Specific organs

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Kidneys

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Glomerular capillaries have a continuous glycocalyx layer in health and the total transendothelial filtration rate of solvent (Jv{\displaystyle J_{v}}) to the renal tubules is normally around 125 ml/ min (about 180 litres/ day). Glomerular capillaryJv{\displaystyle J_{v}} is more familiarly known as the glomerular filtration rate (GFR).

Lungs

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The Starling equation can describe the movement of fluid frompulmonary capillaries to the alveolar air space.[7][8]

Clinical significance

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Woodcock and Woodcock showed in 2012 that the revised Starling equation (steady-state Starling principle) provides scientific explanations for clinical observations concerning intravenous fluid therapy.[9] Traditional teaching of both filtration and absorption of fluid occurring in a single capillary has been superseded by the concept of a vital circulation of extracellular interstitial fluid running parallel to the circulation of blood. Infusing intravenous fluids that raise plasma colloid osmotic pressure (colloid therapy) has much less effect on plasma volume than originally expected, in part because the initially reduced filtration rate allows the concentration of proteins in the subglycocalx spaces to rise, returning the colloid osmotic pressure difference and trans endothelial solvent filtration rate to their steady state levels within an hour. Prevention and treatment of oedema (excess interstitial fluid) depends on normalisation ofPc{\displaystyle P_{c}} and optimisation of the flow rate of lymph.

History

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The Starling equation is named for the British physiologistErnest Starling, who is also recognised for theFrank–Starling law of the heart.[10] Starling can be credited with identifying that the "absorption of isotonic salt solutions (from the extravascular space) by the blood vessels is determined by this osmotic pressure of the serum proteins" in 1896.[10]

See also

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References

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  1. ^Curry, F. E.; Michel, C. C. (1980-07-01)."A fiber matrix model of capillary permeability".Microvascular Research.20 (1):96–99.doi:10.1016/0026-2862(80)90024-2.ISSN 0026-2862.
  2. ^Staverman, A. J. (1951)."The theory of measurement of osmotic pressure".Recueil des Travaux Chimiques des Pays-Bas.70 (4):344–352.doi:10.1002/recl.19510700409.ISSN 0165-0513.
  3. ^Kedem, O.; Katchalsky, A. (February 1958)."Thermodynamic analysis of the permeability of biological membranes to non-electrolytes".Biochimica et Biophysica Acta.27 (2):229–246.doi:10.1016/0006-3002(58)90330-5.ISSN 0006-3002.PMID 13522722.
  4. ^Zelman, A. (1972-04-01)."Membrane Permeability: Generalization of the Reflection Coefficient Method of Describing Volume and Solute Flows".Biophysical Journal.12 (4):414–419.Bibcode:1972BpJ....12..414Z.doi:10.1016/S0006-3495(72)86093-4.ISSN 0006-3495.PMC 1484119.PMID 5019478.
  5. ^abcMichel, C. Charles; Woodcock, Thomas E.; Curry, Fitz-Roy E. (2020)."Understanding and extending the Starling principle".Acta Anaesthesiologica Scandinavica.64 (8):1032–1037.doi:10.1111/aas.13603.ISSN 1399-6576.PMID 32270491.
  6. ^abcdBoron, Walter F. (2005).Medical Physiology: A Cellular And Molecular Approaoch. Elsevier/Saunders.ISBN 978-1-4160-2328-9.
  7. ^Pal, Pramod K.; Chen, Robert (2014-01-01), Aminoff, Michael J.; Josephson, S. Andrew (eds.),"Chapter 1 - Breathing and the Nervous System",Aminoff's Neurology and General Medicine (Fifth Edition), Boston: Academic Press, pp. 3–23,doi:10.1016/b978-0-12-407710-2.00001-1,ISBN 978-0-12-407710-2,S2CID 56748572, retrieved2020-11-28
  8. ^Nadon, A. S.; Schmidt, E. P. (2014-01-01), McManus, Linda M.; Mitchell, Richard N. (eds.),"Pathobiology of the Acute Respiratory Distress Syndrome",Pathobiology of Human Disease, San Diego: Academic Press, pp. 2665–2676,doi:10.1016/b978-0-12-386456-7.05309-0,ISBN 978-0-12-386457-4, retrieved2020-11-28
  9. ^Woodcock, T. E.; Woodcock, T. M. (29 January 2012)."Revised Starling equation and the glycocalyx model of transvascular fluid exchange: an improved paradigm for prescribing intravenous fluid therapy".British Journal of Anaesthesia.108 (3):384–394.doi:10.1093/bja/aer515.PMID 22290457.
  10. ^abStarling, Ernest H. (1896-05-05)."On the Absorption of Fluids from the Connective Tissue Spaces".The Journal of Physiology.19 (4):312–326.doi:10.1113/jphysiol.1896.sp000596.PMC 1512609.PMID 16992325.

External links

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