Guidelines on Cerebrospinal Fluid Analysis


Main topic of guideline

Reference

Routine CSF analysis

Deisenhammer et al. (2006)

Examination of infectious CSF

Qualitative IgG assessment in CSF

Freedman et al. (2005)

CSF collection and biobanking

Teunissen et al. (2009)

Control groups in CSF biomarker studies

Teunissen et al. (2013)

Disease-specific CSF investigation (including CSF amyloid-β1–42, tau, 14-3-3, hypocretin-1, β-trace, β2-transferrin)

Deisenhammer et al. (2009)

CSF analysis for diagnosis of Creutzfeldt-Jakob disease

Muayqil et al. (2012)

Sorbi et al. (2012)

CSF analysis for diagnosis of multiple sclerosis

Polman et al. (2011)

Freedman et al. (2005)

CSF analysis for diagnosis of Lyme neuroborreliosis

Mygland et al. (2010)

CSF amyloid-β1–42 and tau protein in Alzheimer’s disease

Albert et al. (2011)

McKhann et al. (2011)

Sperling et al. (2011)

Dubois et al. (2007)

Hort et al. (2010)


A literature search in PubMed using the search terms “cerebrospinal fluid” and “guidelines”, limited to July 1, 2014, returned 516 references. Abstracts that primarily did not deal with guidelines on CSF diagnostics were excluded. Only original articles written in English were considered





24.2 Recommendations on Routine CSF Analysis


Basic CSF analysis is invaluable for the evaluation of inflammatory infectious and non-infectious conditions of the central nervous system (CNS), in cases of computed tomography (CT)-negative subarachnoid haemorrhage (SAH) or leptomeningeal metastases. It includes visual inspection of the sample, cytological examination, determination of red blood cell (RBC) and white blood cell (WBC) count, CSF total protein, CSF/serum glucose (CSF/SGlu) ratio and/or CSF lactate as well as measurement of albumin and immunoglobulins (Ig) in CSF and serum for assessment of blood-CSF barrier (BCB) function and intrathecal Ig synthesis. Recommended reference values for all routine CSF parameters are displayed in Table 24.2 (Deisenhammer et al. 2006).


Table 24.2
Recommended normal limits for routine CSF parameters





































CSF parameter

Normal limit

RBC count

≤ 0/μL

WBC count

< 5/μL

CSF total protein

< 0.45 g/L

Glucose ratio

>0.4–0.5

CSF lactate

<2.8–3.5 mmol/L

Q alb

NA

Intrathecal IgG synthesis

Detection of OCB only in CSF but not in serum and/or calculation by non-linear function, e.g. Reiber hyperbolic formula

Intrathecal IgA and IgM synthesis

Calculation by non-linear function, e.g. Reiber hyperbolic formula

Cytological examination

Lymphocytes and monocytes (at resting phase), occasionally ependymal cells


RBC red blood cell, WBC white blood cell, CSF cerebrospinal fluid, Q alb CSF albumin/serum albumin ratio, OCB oligoclonal bands, NA not available, Ig immunoglobulin


24.2.1 White Blood Cell Count and Cytological Examination


WBC count is typically increased in inflammatory CNS diseases but also in leptomeningeal metastases. Cytological examination allows identification of the underlying cell type in the case of inflammation (e.g. mononuclear versus polymorphonuclear) as well as of tumour cells (Deisenhammer et al. 2006). Currently available guidelines established by a task force of the European Federation of Neurological Societies (EFNS) define a WBC count <5/μL as normal, indicating noninflammatory CSF. Cytological examination usually yields lymphocytes and monocytes at resting phase and occasionally ependymal cells (Deisenhammer et al. 2006). In recent years, there was an increasing interest in automated cell counting and cell sorting for CSF. Therefore, recommendations on at least advantages and disadvantages compared to the conventional methods of cell counting in a chamber under microscopy as well as performing cytology would be desirable. So far, studies comparing WBC count determined automatically and visually remain contradictory showing good overall correlation of results but still weak concordance rates at low WBC counts (Sandhaus et al. 2010; Zimmermann et al. 2011). The reliability of cell sorting is still equivocal at low WBC counts, and pathological cell types such as tumour cells are most likely only detected by microscopic cytological examination (Sandhaus et al. 2010; Zimmermann et al. 2011; Danise et al. 2013).


24.2.2 Red Blood Cell Count


RBC count is essential for the diagnosis of SAH especially in patients with normal CT scan (refer to chapter 24.4.1) as well as to estimate whether blood contamination of CSF (by traumatic puncture) could affect the results of other CSF parameters. In general, the extent of interference with the analyte depends on its serum concentration, e.g. blood contamination can lead more easily to a false positive result of a CSF parameter in the case of high serum concentration. There are no recommendations at which RBC count a particular CSF parameter should not be determined or whether and how calculative corrections should be performed. Research recommendations consider CSF samples as blood contaminated if RBC count exceeds 500/μL; however, this cut-off value was based on proteomic data (Teunissen et al. 2009) and, thus, does not necessarily apply to routine CSF analysis.

Since the ratio of WBC to RBC in blood is roughly 1:750, some authors suggested to subtract 1–2 WBC per 1,000 counted RBC in CSF (Delank 1972; Olischer and von Suchodoletz 1972). Reske et al. recommended to correct 1 WBC per 666 RBC (Reske et al. 1981) and others even calculated a formula involving leukocytes and erythrocytes both in blood and CSF (WBCCSF/RBCCSF × RBCblood/WBCblood) in order to obtain the “true” WBC count in CSF (Pfausler et al. 2004). Concerning CSF total protein concentration, Reske et al. suggested the formula ProteinCSF (mg/L) − RBCCSF (/μL)/333 × 5.25 (Reske et al. 1981), but the method used for the determination of CSF total protein has to be considered in this context (see below) (Boer et al. 2007). Although blood contamination in CSF also influences CSF Ig concentrations and calculated intrathecal Ig synthesis, there are so far no suggestions for a corrective approach.


24.2.3 CSF Total Protein and CSF/Serum Albumin Quotient


Both measures, CSF total protein and CSF/serum albumin quotient (Q alb), are increased in case of blood-CSF barrier (BCB) dysfunction, which is evident in different conditions such as meningitis, leptomeningeal metastases or inflammatory polyneuropathy (Reiber and Peter 2001). Q alb should be preferred to CSF total protein concentration in order to assess BCB function (Deisenhammer et al. 2006). The superiority of Q alb is based on the fact that it is not influenced by intrathecal Ig synthesis, is corrected for serum concentrations of albumin and is a technology-independent value (Deisenhammer et al. 2006). Although it is known that the protein concentration in CSF increases with age (Tibbling et al. 1977; Garton et al. 1991; Blennow et al. 1993; Eeg-Olofsson et al. 1981), no specific age-dependent upper normal limit for Q alb has been recommended. Reiber et al. suggested the approximate formula “Age/15 + 4” (Reiber et al. 2001), but this still returns false positive/elevated results in roughly 15 % of patients without evidence of neurological disorders (ruled out by clinical, laboratory and imaging diagnostics) (Brettschneider et al. 2005).

Regarding CSF total protein, concentrations less than 0.45 g/L are considered as normal (Deisenhammer et al. 2006). However, there is no recommendation for age correction, and existing literature even provides evidence that the upper normal limit has to be corrected to levels ranging between 0.5 and 0.6 g/L (Tibbling et al. 1977; Garton et al. 1991; Ahonen et al. 1979; Gilland 1967; Dufour-Rainfray et al. 2013; Mertin et al. 1971; Breebaart et al. 1978). Comments on the methodology for CSF total protein measurement are lacking too (not relevant for Q alb, as a ratio is dimensionless and method independent given that the same method is used for CSF and serum measurements).

In a subgroup of patients such as in SAH patients developing hydrocephalus and requiring ventricular drain, CSF samples are collected from the ventricular lumen (via the drain). The site of CSF collection (due to a rostrocaudal protein concentration gradient) has a significant impact on levels of CSF total protein concentration and CSF albumin (therefore also on Q alb) with levels in lumbar CSF roughly 2.2 times higher than in ventricular CSF (Weisner and Bernhardt 1978). Cut-off values for CSF total protein or Q alb in ventricular CSF have not been formally investigated; nevertheless, it is common practice to use cut-off values of lumbar CSF divided by 2.2.


24.2.4 CSF/Serum Glucose Ratio


CSF glucose and, thus, the CSF/SGlu ratio are typically decreased in bacterial or fungal infectious CNS disease as well as in leptomeningeal metastases. According to EFNS guidelines, a CSF/SGlu ratio between 0.5 and 0.6 is considered as normal and values below 0.4–0.5 are pathologic (albeit, e.g. the German Society of Neurology recommends to consider a CSF/SGlu <0.3 for an accurate diagnosis of bacterial meningitis (Diener 2012)). It has to be stated that despite the long-term and widespread use of glucose measurement in routine CSF diagnostics, the level of evidence for the recommended cut-off is low (Deisenhammer et al. 2006). Although it is well known that CSF/SGlu ratio decreases with increasing serum glucose level in a non-linear manner (Leen et al. 2012), proposed normal and cut-off values are not serum glucose adapted. A recent study linked CSF/SGlu ratio to specific serum glucose concentrations and suggested CSF/SGlu ratio >0.5 as normal for patients with serum glucose concentrations <1 g/L, >0.4 for those with a serum glucose level of 1 g/L up to 1.49 g/L and >0.3 for values exceeding 1.5 g/L (Hegen et al. 2014). Other factors which might influence CSF/SGlu ratio such as age, WBC count and CSF total protein (i.e. lower CSF/SGlu ratio with increase of these parameters) could be ruled out in this study by regression analysis revealing only serum glucose concentration as a significant covariant for CSF/SGlu ratio (Hegen et al. 2014).


24.2.5 Intrathecal Immunoglobulin Synthesis


Intrathecal Ig production can be found in various, mainly inflammatory, conditions of the CNS (Deisenhammer et al. 2006), and specific Ig patterns are indicative for certain diseases, e.g. IgM dominance for neuroborreliosis or IgA dominance for neurotuberculosis and brain abscess (Reiber and Peter 2001). Evidence on the frequency of intrathecal IgG, IgA and IgM synthesis in different neurological diseases is summarised in Table 24.3. Nevertheless, existing guidelines conclude that there is no evidence to support the routine use of quantitative assessment of intrathecal Ig synthesis (Deisenhammer et al. 2006; Freedman et al. 2005). This might be due to several reasons: Calculation of intrathecal IgG synthesis, e.g. by non-linear formula such as Reiber hyperbolic function (Reiber 1994), has lower diagnostic accuracy in terms of sensitivity and specificity compared to oligoclonal band (OCB) evaluation for diseases such as multiple sclerosis (MS) (Reiber et al. 1998; Rudick et al. 1989). Regarding intrathecal IgM synthesis, there are reports of falsely positive results in patients with noninflammatory diseases without IgM oligoclonal bands in CSF (Sharief et al. 1990), and the same applies for IgA. Further ambiguities arise from recommendations such as those of the German Society for Cerebrospinal Fluid Diagnostics and Neurochemistry to consider intrathecal fractions of IgA and IgM, indicated by the percentage of intrathecally synthesised Ig, of less than 10 % as non-pathological (DGLN DGfLuKN 2004).


Table 24.3
Percentage of patients with quantitative intrathecal immunoglobulin synthesis in different diseases














































































 
IgG (%)

IgA (%)

IgM (%)

No inflammatory and no CNS disease

<5

<5

<5

Noninflammatory CNS diseased

<25a

<5

<5

Infections of the nervous system

25–50

25

25

 Bacterial infections

25–50

25–50

<25

 Viral infections

25–50

<25

<25

 Lyme neuroborreliosis

25–50

<25

75

Multiple sclerosis

70–80

<25

<25

 Clinically isolated syndrome

40–60

<10

<25

Inflammatory neuropathies

25–50a

25–50a

25–50a

Neoplastic disorders (in general)

<25a

ND

ND

 Paraneoplastic syndromes

<25

ND

ND

 Meningeal carcinomatosis

25–50

ND

ND

Other neuroinflammatory diseases

25–50b

NDc

ND


Adapted from Deisenhammer et al. (2006). Intrathecal Ig synthesis was determined by elevated IgA, IgG, IgM index or by non-linear formula values

aUsually not associated with oligoclonal bands (artefact in presence of barrier impairment)

bRare in biopsy-proven neurosarcoidosis

cProminent IgA synthesis in adrenoleukodystrophy

dIncluding degenerative and vascular diseases

CNS central nervous system, ND not determined

It is known that besides intact immunoglobulins, plasma cells secrete an excess of free light chains (FLC) (Nakano et al. 2011), which accumulate in the CSF in the case of intrathecal B-cell activity. Several studies have already indicated the potential diagnostic value of κFLC in MS (Rudick et al. 1989; Krakauer et al. 1998; Desplat-Jego et al. 2005; Senel et al. 2014; Duranti et al. 2013); however, there have been no recommendations on FLC as a measure for intrathecal B-cell activity.


24.2.6 Oligoclonal Bands


Detection of OCB by isoelectric focusing (IEF) on agarose gels followed by immunoblotting is the gold standard method for the determination of an intrathecal IgG synthesis (Freedman et al. 2005). As mentioned above, intrathecal IgG synthesis is found primarily in inflammatory CNS diseases indicating a long-lasting B-cell activity (Deisenhammer et al. 2006), and its detection by OCB shows significantly higher sensitivity and specificity than IgG quantitation in CSF and serum followed by calculation of any formulae (e.g. Reiber IgG synthesis) (Reiber et al. 1998; Rudick et al. 1989). The incidence of OCB in different neurological diseases is shown in Table 24.4.


Table 24.4
Incidence of OCB in different inflammatory CNS diseases
































































Disease

OCB positive (%)

Autoimmune
 

Multiple sclerosis

95

Neuro-SLE

50

Neuro-Behcet’s

20

Neuro-sarcoid

40

Harada’s meningitis-uveitis

60

Infectious
 

Acute viral encephalitis (<7 days)

<5

Acute bacterial meningitis (<7 days)

<5

Subacute sclerosing panencephalitis

100

Progressive rubella panencephalitis

100

Neurosyphilis

95

Neuro-AIDS

80

Neuroborreliosis

80

Tumour

<5

Hereditary
 

Ataxia-telangiectasia

60

Adrenoleukodystrophy (encephalitic)

100


Adapted from Deisenhammer et al. (2006)

OCB oligoclonal band, CNS central nervous system, SLE systemic lupus erythematosus, AIDS acquired immunodeficiency syndrome

OCB are of high importance especially in the diagnosis of MS. A recent large meta-analysis showed that OCB (detected by IEF followed by immunofixation) were positive in roughly 90 % of more than 12,000 MS patients and 70 % of more than 2,600 patients with clinically isolated syndrome, the first manifestation of the disease (Dobson et al. 2013). In cases of primary progressive MS, the detection of intrathecal IgG synthesis (e.g. by OCB) is still included in the diagnostic criteria, as one of three criteria supporting evidence for dissemination in space (Polman et al. 2011). Although no longer required for diagnosis of relapsing MS (Polman et al. 2011), CSF analysis is still required for exclusion of differential diagnoses (Freedman et al. 2005; Polman et al. 2011; Miller et al. 2008; Tumani et al. 2011). Findings of mild lymphocytic pleocytosis and intrathecal IgG synthesis prove the inflammatory nature of the underlying condition in MS (the only test besides brain biopsy) (Freedman et al. 2005; Polman et al. 2011; Miller et al. 2008; Tumani et al. 2011).

As detection of OCB is a technically demanding method, clear recommendations exist on how to perform it. Freedman et al. provide a list of 12 red flags, which should be considered in order to achieve and guarantee high diagnostic accuracy of this method (Table 24.5) (Freedman et al. 2005). Furthermore, it is clearly defined how to interpret test results, classified into five different patterns (see chapter 10) (Freedman et al. 2005). In general, a positive result is found if two or more OCB are present in CSF but not in serum. The cut-off of two bands ensures the high specificity of the test for MS. In cases of a single detected band (most likely reflecting incomplete OCB in CSF but not in serum), if other (clinical or MRI) criteria clearly point to MS, CSF analysis might be repeated (after several months) for re-evaluation (Freedman et al. 2005; Davies et al. 2003).


Table 24.5
Recommendations for qualitative assessment of IgG in CSF










































1.

IEF followed by immunodetection (blotting or fixation)

2.

Unconcentrated CSF

3.

Parallel run of CSF and serum samples at similar IgG concentrations

4.

Positive and negative controls on each gel

5.

Standardised reporting: staining patterns I–V

6.

Interpretation by an individual experienced in the technique

7.

Full CSF reports most helpful

8.

Detection of light chains in certain cases

9.

Repeat CSF analysis if clinical suspicion is high but test result is negative (or shows only a single band in CSF)

10.

Quantitative IgG analysis is complementary but not a substitute for OCB detection

11.

Non-linear formulas should be used to calculate intrathecal IgG synthesis considering BCB integrity (by Q alb)

12.

Quality controls, both internal and external


CSF cerebrospinal fluid, IEF isoelectric focusing, OCB oligoclonal bands, Q alb CSF albumin/serum albumin ratio, BCB blood-CSF barrier


24.2.7 Disease-Related Patterns of Routine CSF Parameters


Not a single CSF parameter but the integrative report allows reliable diagnosis making in a variety of neurological disorders. Here, we would like to highlight this special feature in CSF analysis by the following example: Whereas WBC count alone could not reliably distinguish between viral and bacterial meningitis (in a cohort of patients published by Spanos et al.), the combination of different parameters, i.e. of CSF glucose concentration <0.34 g/L, a CSF/SGlu ratio <0.23, a CSF total protein concentration >2.2 g/L and a CSF WBC count of >2,000/μL, enables the correct assignment of patients with bacterial meningitis with ≥99 % certainty (Spanos et al. 1989). Table 24.6 summarises typical constellations of CSF results in different neurological conditions (Deisenhammer et al. 2006).


Table 24.6
Typical constellation of CSF parameters in various neurological disorders


































































 
WBCcount

CSF totalprotein

CSF/SGlu ratio

CSF lactate

Typical cytology

Acute bacterial meningitis

> 1,000




PNC

Viral neuro-infections

10–1,000

=/

=/↓

=

PNC/MNC

Autoimmune polyneuropathy

=


=

=
 

Infectious polyneuropathy



=

=

MNC

Subarachnoidal haemorrhage



=

=/↑

RBC, MAC,SID, MNC

Multiple sclerosis

=/↑

=

=

=

MNC

Leptomeningeal metastases

=/↑



n.a.

Malignant cells, MNC


Adapted from Deisenhammer et al. (2006)

CSF cerebrospinal fluid, MNC mononuclear cells, PNC polymorphonuclear cells, n.a. no evidence, SID siderophages, MAC macrophages, CSF/S Glu ratio CSF/serum glucose ratio, WBC white blood cells (per μL), RBC red blood cells


24.3 Recommendations on Diagnostic Workup of CSF for Infectious CNS Diseases


In the case of infectious CNS disease, the detection of the pathogen is necessary for a target-specific antimicrobial treatment. There are many small- to medium-sized studies investigating diagnostic sensitivity and specificity of tests for various infectious agents but no controlled study evaluating a workup of infectious CSF in general, i.e. how to proceed with CSF in obvious CNS infections. Existing proposals for the general workup of infectious CSF are based on clinical practice and theoretically plausible procedures. Available guidelines recommend different detection methods for different infectious agents: directly by microscopy and culture or indirectly by detection of antigens via polymerase chain reaction or by detection of specific antibodies via serology (Table 24.7) (Deisenhammer et al. 2006).


Table 24.7
List of infectious agents responsible for the vast majority of infectious CNS diseases













































Pathogen

Recommended diagnostic methoda

Bacteria

Should be considered in first line

Neisseria meningitides

Microscopy, culture

Streptococcus pneumoniae

Microscopy, culture

Haemophilus influenzae

Microscopy, culture

Staphylococcus aureus

Microscopy, culture

Escherichia coli

Microscopy, culture

Borrelia burgdorferi sensu lato

Serology

Treponema pallidum

Serology

Mycobacterium tuberculosis

PCRa, culture, positive tuberculin test

Should be considered especiallyin immunosuppressed patients

Actinobacteria species

Culture

Bacteroides fragilis

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Dec 11, 2016 | Posted by in NEUROLOGY | Comments Off on Guidelines on Cerebrospinal Fluid Analysis

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