Introduction
A clinical consensus on how to define and diagnose PND continues to evolve (see Chapter 11), although PND likely represents the extreme end of the continuous distribution of postoperative cognitive change.1 Nevertheless, efforts to identify effective biomarkers of PND remain an active area of research. According to the NIH Biomarkers Definitions Working Group, a biomarker, or biological marker, is a “characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention.”2 Despite interesting mechanistic hints from animal models of postsurgical memory deficits, human PND is a cognitive syndrome of unknown etiology.1 Thus, identifying biomarkers for human PND may help enhance our understanding of its etiology and identify possible therapeutic targets.
There are at least four conceivable categories of biomarkers for PND (Table 12.1). Risk factor markers are those indicators that would potentially identify patients that are most vulnerable to PND. Etiologic markers identify a process that is causally linked to PND or leads to PND at a later time point. Pathophysiologic markers, in contrast, reflect the presence of the actual brain or body state of PND itself. These terms are analogous to the way the terms trait marker and state marker are used in the psychiatry literature. A “trait marker” represents the properties of the behavioral and biological processes that play an antecedent, possibly causal role in the pathophysiology of the psychiatric disorder whereas a “state marker” reflects the status of clinical manifestations in patients.3 Finally, end-product markers would reflect the effect of PND on the brain and/or body, which may remain after PND itself resolves.
PND Biomarker Type | Definition | Time Frame | Hypothetical Example |
---|---|---|---|
Risk factor marker | A marker of a vulnerable patient; semianalogous to the way the term trait marker is used in the psychiatry literature | Can be measured before perioperative care | Decreased CSF amyloid-beta levels31 |
Etiologic marker | A marker of a process which causally contributes to PND or leads to PND at a later time point | Can be measured at the time of perioperative care | ? |
Pathophysiologic marker | A marker of the actual brain or body state of PND itself – analogous to the way the term state marker is used in the psychiatry literature | Can be measured at the same time as PND is detected by neurocognitive testing (typically weeks after perioperative care) | ? |
End-product marker | A marker of the effect of PND on the brain and/or body, which remains even after PND itself resolves | Can be measured after PND resolves | ? |
Biomarkers that are potentially useful for PND diagnosis can be identified in a wide variety of sources (Table 12.2). Thus far, research has demonstrated promise in enhancing our understanding of PND by studying metabolites and proteins of interest in urine, blood, CSF, and saliva. In a broader sense, genetic variation could be considered a biomarker (most likely as a risk factor biomarker), and neuroimaging could theoretically provide any of the four types of PND biomarkers listed above. Advantages and disadvantages inherent to each of these sources are summarized in Table 12.2, and specific literature examples are given in Table 12.3.
Biomarker Source | Advantages | Disadvantages | Studies That Used This Biomarker Type |
---|---|---|---|
Urine | Obtained easily and noninvasively as long as there is no underlying pathology | Contamination possible; unclear relationship between urine marker concentrations and effect site concentrations within the brain | 4–6 |
Blood | Easily obtained pre-, intra-, and postoperatively; likelihood of finding markers is high as research has shown various PND markers are found in the serum | Minimally invasive procedure required; large dynamic range of analytes; due to the presence of the blood-brain barrier, unclear relationship between serum marker concentrations and effect site concentrations within the brain | 9–11, 14–16 |
CSF | Allows access to various neuroinflammatory markers that play a role in PND | Patient recruitment may be challenging; pain during sampling; rare but severe risks including meningitis, post dural puncture headache Complex neural activity patterns within circuits are thought to give rise to cognition (rather than mere concentrations of factors within the brain or CSF); thus, unclear what CSF biomarker levels may tell us about the alterations in neuronal activity patterns that presumably underlie cognitive deficits in PND | 27, 31 |
Saliva | Easily obtained, noninvasive | Not a proven source for markers that correlate with PND | |
DNA | Easily obtained | Unclear to what extent genetic markers may correlate with PND, given the likely multiplicity of causes for PND | 35, 36 |
Neuroimaging biomarker (i.e., functional or structural MRI) | Noninvasive | Patients with MRI-incompatible implants (i.e., pacemakers) cannot be scanned; claustrophobia is a contraindication; time consuming, and expensive. fMRI has limited temporal and spatial resolution, and only measures changes in hemoglobin oxygenation (which are themselves an indirect proxy for neuronal activity) | 49, 50 |
Intraoperative physiologic monitoring (i.e., processed or raw EEG, cerebral oximetry, cerebral blood flow monitoring, etc.) | Easily obtained, relatively risk free | Relevant commercial monitor may not be available at all institutions/locations; poor sensitivity/specificity, although EEG monitoring may41 or may not40 alter PND risk at a population level | 40, 41, 51 |
Specific Biomarker | Statistical Relationship to POCD | POCD Definition | Time Point(s) at Which POCD Measured | Time Point(s) at Which Biomarker Measured | Study Size and Patient Population | Reference(s) |
---|---|---|---|---|---|---|
Urine 8-isoprostane |
| Changes in neuropsychological tests administered associated with impairments in daily functioning |
|
| 72 patients 65 years and older had elective general or middle orthopedic surgery | 4 |
High-mobility group box 1 (HMGB1) and IL-6 |
| z-score ≥ 1.96 (Recommended by ISPOCD) |
|
| 53 patients 60 years and older undergoing gastrointestinal surgery | 15 |
CRP 1059G/C SNP and SELP 1087G/A SNP |
| Decline from baseline score of at least 1 standard deviation for one or more of the four domain scores at 6 weeks after surgery |
|
| 513 patients undergoing CABG surgery with cardiopulmonary bypass | 36 |
Beta-amyloid and C-reactive protein |
| One standard deviation decline in two of the five neuropsychiatric tests |
|
| 25 patients undergoing liver transplantation | 16 |
S-100 protein |
| Decline of more than 10% in neuropsychological test results |
|
| 120 patients, scheduled for elective abdominal, vascular, urological (no transurethral resection of prostate) or trauma surgery (exclusive of hip or knee joint replacement) | 9 |
Apolipoprotein E4 (APOE) |
| Decline of 1 SD or more in at least one of the four domains. (1) verbal memory, (2) abstraction and visuospatial orientation, (3) visual memory, and (4) attention and concentration |
|
| 394 patients older than 55 years undergoing major elective noncardiac surgery | 37 |
Fibrinopeptide A (FPA) |
| Z test scores. |
|
| 68 elderly patients age ≥65 years for arthroplasty surgeries | 18 |
S-100β |
| A decline of more than 10% in neuropsychological tests |
|
| 42 patients older than 60 yr scheduled for total hip replacement were enrolled, and 37 patients completed follow-up | 10 |
Protein S-100B |
| Statistically significant change from baseline performance level on a major test |
|
| 106 patients scheduled for elective CABG were prospectively enrolled | 52 |
CSF Biomarkers |
| Decline of more than 10% in neuropsychological test results |
|
| 61 patients between 65 to 85 years of age who underwent total hip replacement surgery | 28 |
Perioperative NO products |
| Deficit in one or more cognitive domain(s) |
|
| 42 patients aged 40– 85 yr undergoing inpatient laparoscopic cholecystectomy | 12 |