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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_2638_Библиотеки_им_академика_М_И_Перельмана

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Management of epidemics
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Fu rt he r i nf o rm at ion  95
An epidemic, as dened by the World Health Organization, occurs when ‘in a community or region [the] cases of an illness, specic health-related behaviour, or other health-related events [are] clearly in excess of normal expectancy’. Epidemics that are small-scale or conned to a small geo­graphic area are informally referred to as ‘outbreaks’.
Epidemics are regularly caused where preventative measures break down; examples include breaches of food safety procedures in restau­rants resulting in outbreaks of enteropathogenic E. coli infection, failure to adequately maintain cooling towers causing Legionella infections and falls in vaccination coverage resulting in measles epidemics.
Epidemics can also arise from novel infectious agents such as the SARS-CoV-1, MERS, SARS-CoV-2 and H1N1 viruses, for which new preventative measures require to be developed. Where epidemics from novel agents are not controlled locally, but instead spread beyond inter­national borders, these are termed pandemics, of which SARS-CoV-2 and H1N1 are examples.
To detect epidemics early, public health agencies undertake surveil­lance. Surveillance involves the collection and review of cases that have been identied via statutory notications, or health information systems (such as microbiology reporting systems). For some infections such as E. coli and Legionella, one challenge for public health agencies is to distinguish epidemics from ‘sporadic’ cases at an early stage. This is done using human judgement, for example, if a large number of cases of E. coli occur in individuals who ate a specic food, although this task is sometimes supported using computer algorithms.
Epidemics require an incident management team, some of whose members have legal powers to impose measures to control infection. The team establish a formal case denition for conrmed, probable and possible cases (based on epidemiological features as well as clinical and/ or microbiological ndings), interview individuals with whom cases have had signicant contact (termed contact tracing), test potential sources of infections (e.g. foodstuffs or industrial cooling towers), and implement control measures. The latter might include requiring infected individuals to isolate for a time period (e.g. until they are asymptomatic or until they test negative depending on the infectious agent), and/or ordering tem­porary closure of businesses thought to be sources of infection (e.g. a restaurant with poor food hygiene practices).
Epidemic curves are crucial to the monitoring and management of epidemics. Figure 5.6 shows a notional epidemic curve for an epidemic caused by a single source, which is eliminated after 31 days. However, they are also used in more complex epidemics where there is per­son-to-person spread. In the latter, epidemic curves are used to esti­mate key statistics such as the basic reproduction number (R0) in the population, as well as to make projections about future infections. Where the source of an epidemic is not apparent, comparative epidemiological methods can be used to identify the likely source, for example, a case– control design may identify a higher than expected consumption of a given food – for example uncooked legumes – among cases compared to controls prompting testing of foods, an education campaign and/or product recalls.
The principles for managing pandemics are similar to those for man­aging epidemics but operate on a national or international scale. The universality of pandemics, however, means that they pose special prob­lems. First, they pose risks to the society-wide infrastructure needed to deal with diseases, including, but not limited to health-care facilities. Secondly, pandemics, unlike local and regional epidemics are rare, so
15
10
New cases
5
0
1
6 11 16 21 26 31 26 41
Days
Fig. 5.6 Epidemic curve for a notional outbreak within a single ongoing
source. Red line indicates time point where source of infection was removed (e.g. closure of a restaurant).
agencies have little direct experience with their management. For this reason, most settings develop pandemic plans and undertake regu­lar table-top simulations to test and improve their preparedness. The COVID-19 pandemic, caused by SARS-CoV-2, is a key example and is discussed in detail in Chapter 13
Further information
Kindig D, Stoddart G. What is population health? Am J Publ Health 2003;93:
380–383.
UK Faculty of Public Health. What is public health? http://www.fph.org.uk/what_
is_public_health
Burden of disease
GBD Diseases and Injuries Collaborators. Global burden of 369 diseases and
injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2019; 2020(396): 1204–1222.
GBD Risk Factors Collaborators. Global burden of 87 risk factors in 204
countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2019; 2020(396):1223–1249.
GBD Viewpoint Collaborators. Five insights from the Global Burden of Disease
Study 2019. Lancet 2019; 2020(396):1135–1159.
Screening
Gov.UK. Population screening programmes. https://www.gov.uk/topic/population-
screening-programmes Detailed information on 11 NHS population screening
programmes.
Immunisation
Gov.UK. Immunisation against infectious disease. https://www.gov.uk/
government/collections/immunisation-against-infectious-disease-the-green­book The Green Book has the latest information on vaccines and vaccination
procedures, for vaccine-preventable infectious diseases in the UK.
Epidemiology
Burgess S, Davey Smith G, Davies NM, et al. Guidelines for performing Mendelian
randomization investigations. Wellcome Open Res 2020;4:186.
STROBE-MR Steering Group: STROBE-MR: Guidelines for strengthening the
reporting of Mendelian randomization studies. PeerJ https://peerj.com/
preprints/27857/
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Multiple Choice Questions
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5.2. Which of the following statements describe the current newborn blood spot screening programme in the UK?
5.1. Which of the following are examples of large-scale screening programmes across all of the UK in 2021?
A. Cervical cancer national screening programme in women B. Prostate cancer national screening programme in men C. Diabetic eye screening programme in both men and women D. Newborn hearing screening programme E. Abdominal aortic aneurysm screening programme in both men
and women
Answer: A, C and D.
Prostate cancer screening has not proven to be cost-effective and thus is not approved by the UK National Screening Committee. An abdominal aortic aneurysm screening programme operates only in men 65 years of age or over but not in women.
A. Ideally, blood spots should be collected on day 14 B. Babies who missed the screen can be tested up to 1 month
of age C. Blood spots are screened for sickle-cell disease D. Blood spots are screened for cystic brosis E. Blood spots are screened for congenital hypothyroidism
Answer: C, D and E.
Ideally, blood spots should be collected on day 5. Babies who missed the screen can be tested up to 1 year of age. Newborn blood spot screens for: sickle-cell disease, cystic brosis, congenital hypothyroid­ism and inherited metabolic diseases (PKU, MCADD, MSUD, IVA, GA1 and HCU – see Fig. 5.2).
JAT Sandoe
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DH Dockrell
6
Principles of infectious disease
Agents causing infection 98
Normal microbial ora 100
Host–pathogen interactions 101
Investigation of infection 102
Direct detection of pathogens 103 Culture 104 Indirect detection of pathogens 105 Antimicrobial susceptibility testing 106
Epidemiology of infection 106
Infection prevention and control 108
Health care-associated infection 109 Outbreaks of infection 109 Immunisation 111
Antimicrobial stewardship 112
Treatment of infectious diseases 113
Principles of antimicrobial therapy 113 Antibacterial agents 116 Antimycobacterial agents 121 Antifungal agents 121 Antiviral agents 122 Antiparasitic agents 124
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‘Infection’ in its strict sense describes the situation where microorganisms or other infectious agents become established in the host organism’s cells or tissues, replicate, induce a host response, and result in pathologic changes in tissues. If a microorganism survives and replicates on an epithe­lial surface without causing pathological change the host is said to be ‘colo­nised’ by that organism. If a microorganism survives and lies dormant after invading host cells or tissues, infection is said to be ‘latent’. When a micro­organism, or the host response to it, is sufcient to cause illness or harm, then the process is said to have caused infection, which may manifest by symptoms or signs. In milder cases there can be asymptomatic infection that may be identied by detection of a pathogen or the host response to the pathogen. Most pathogens (agents that can cause infection) are microorganisms but some are multicellular organisms. The manifestations of disease may aid pathogen dissemination (e.g. diarrhoea or coughing).
The term ‘infection’ is often used interchangeably with ‘infectious dis­ease’ but not all infections are ‘infectious’, i.e. transmissible from person to person, and not all infections result in symptomatic disease. Infectious diseases caused by pathogens that are transmitted between hosts can also be called ‘communicable diseases’, whereas infection caused by organisms that are already colonising the host are described as ‘endog­enous’. The distinction is blurred in some situations, including health care-associated infections such as meticillin-resistant Staphylococcus aureus (MRSA) or Clostridioides (formerly Clostridium) difcile infection (CDI), in which colonisation precedes infection but the colonising bac­teria may have been recently transmitted between patients. The chain of infection (Fig. 6.1) describes elements for communicable disease transmission.
Despite dramatic advances in hygiene, immunisation and antimicrobial therapy, infections still cause a massive burden of disease worldwide.
Key challenges remain in tackling infection in resource-poor countries. Microorganisms are continually mutating and evolving; the emergence of new infectious agents (e.g. SARS-CoV-2, see Ch. 13) and antimi­crobial-resistant microorganisms is therefore inevitable. This chapter describes the biological and epidemiological principles of infectious dis­eases and the general approach to their prevention, diagnosis and treat­ment. Specic infectious diseases are described in Chapters 13–15 and many of the organ-based chapters.
Agents causing infection
The concept of an infectious agent was established by Robert Koch in the 19th century (Box 6.1). Although fullment of ‘Koch’s postulates’ became the standard for conrming the cause of an infection, many infectious agents do not full Koch’s postulates (e.g. uncultivable organ­isms and the causes of endogenous infections), and the postulates are now of mainly historical interest. The groups of infectious agents that are now recognised are described in the following sections.
6.1 Denition of an infectious agent – Koch’s postulates
1. The same organism must be present in every case of the disease.
2. The organism must be isolated from the diseased host and grown in pure culture.
3. The isolate must cause the disease, when inoculated into a healthy, susceptible animal.
4. The organism must be re-isolated from the inoculated, diseased animal.
A
B C
Fig. 6.1 The chain of infection can be linear (A) and cyclical (B and C). Campylobacter enteritis) require a portal of exit from
respiratory virus infection) require a mode of exit from the infected person, a mode of transmission (e.g. contaminated respiratory droplets or transmission via the surface of an
susceptible human host and a mode of transmission back to the insect vector. Many infections involve a combination of these modes of transmission (e.g. Lyme disease, which has both an animal host and an insect vector) or several different modes of transmission.
Interaction between host receptor
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(determines host-specificity of the virus)
molecule and virus ligand
Adsorption
1
Agents caus ing i nfect ion  99
Lipid envelope
Capsid
Nucleic acid
Host cell
Complete virus particles are
released by budding of host cell
membrane (shown here) or
disintegration of host cell
Assembly of virus components
is mediated by host and/or
Nucleic acid and protein synthesis is mediated by
host and/or viral enzymes. This takes place in nucleus
or cytoplasm, depending on the specific virus
Release 6
Assembly 5
viral enzymes
Synthesis
4
2 Penetration
Receptor-mediated endocytosis or, in some enveloped viruses, membrane fusion (shown here)
3 Uncoating
Nucleic acid is liberated from the phagosome (if endocytosed) and/or capsid by complex enzymatic and/or receptor-mediated processes
Virus
Fig. 6.2 A generic virus life cycle. Life cycle components common to most viruses are host cell attachment and penetration, virus uncoating, nucleic acid and protein
synthesis, virus assembly and release. Virus release is achieved either by budding, as illustrated, or by lysis of the cell membrane. Life cycles vary between viruses.
Viruses
Viruses are incapable of independent replication. Instead, they subvert host cellular processes to ensure synthesis of their nucleic acids and proteins. Viruses’ genetic material (the genome) consists of single- or double-stranded DNA or RNA. Retroviruses transcribe their RNA into DNA in the host cell by reverse transcription. An antigenically unique pro­tein coat (capsid) encloses the genome, and together these form the nucleocapsid. In many viruses, the nucleocapsid is packaged within a lipid envelope. Enveloped viruses are less able to survive in the envi­ronment and are spread by respiratory, sexual or blood-borne routes, including arthropod-based transmission. Non-enveloped viruses survive better in the environment and are predominantly transmitted by faecal– oral or, less often, respiratory routes. A generic virus life cycle is shown in Figure 6.2. A virus that infects a bacterium is a bacteriophage (phage).
6.2 How bacteria are identied
Gram stain reaction (see Fig. 6.3)
Gram-positive (thick peptidoglycan layer), Gram-negative (thin peptidoglycan) or
unstainable
Microscopic morphology
Cocci (round cells) or bacilli (elongated cells)Presence or absence of capsule
Cell association
Association in clusters, chains or pairs
Colonial characteristics
Colony size, shape or colourEffect on culture media (e.g. β-haemolysis of blood agar in haemolytic
streptococci; see Fig. 6.4)
Atmospheric requirements
Prokaryotes: bacteria (including mycobacteria and actinomycetes)
Prokaryotic cells can synthesise their own proteins and nucleic acids, and are able to reproduce autonomously, although they lack a nucleus. The bacterial cell membrane is bounded by a peptidoglycan cell wall, which is thick (20–80 nm) in Gram-positive organisms and thin (5–10 nm) in Gram­negative ones. The Gram-negative cell wall is surrounded by an outer mem­brane containing lipopolysaccharide. Genetic information is contained within a chromosome but bacteria may also contain rings of extra-chromosomal DNA, known as plasmids, which can be transferred between organisms, without cells having to divide. Bacteria may be embedded in a polysaccha­ride capsule, and motile bacteria are equipped with agella. Although many prokaryotes are capable of independent existence, some (e.g. Chlamydia tra- chomatis, Coxiella burnetii) are obligate intracellular organisms. Bacteria that can grow in articial culture media are classied and identied using a range of characteristics (Box 6.2); examples are shown in Figures 6.3 and 6.4
Strictly aerobic (requires O
aerobic (grows with or without O
Biochemical reactions
Expression of enzymes (oxidase, catalase, coagulase)Ability to ferment or hydrolyse various biochemical substrates
Motility
Motile or non-motile
Antibiotic susceptibility
Identies organisms with invariable susceptibility (e.g. to optochin in
Streptococcus pneumoniae or metronidazole in obligate anaerobes)
Matrix-assisted laser desorption/ionisation time-of-ight mass spectrometry (MALDI-TOF-MS)
A rapid technique that identies bacteria and some fungi from their specic
molecular composition
Sequencing bacterial 16S ribosomal RNA gene
A highly specic test for identication of organisms in pure culture and in
), strictly anaerobic (requires absence of O
2
) or micro-aerophilic (requires reduced O
2
), facultatively
2
)
2
samples from normally sterile sites
Eukaryotes: fungi, protozoa and helminths
Eukaryotic cells contain membrane-bound organelles, including nuclei, mitochondria and Golgi apparatus. Pathogenic eukaryotes are unicellular (e.g. yeasts, protozoa) or complex multicellular organisms (e.g. nema­todes, trematodes and cestodes).
Whole-genome sequencing
Although not yet in routine use, whole-genome sequencing (WGS) offers the potential
to provide rapid and simultaneous identication, sensitivity testing and typing of organisms from pure culture and/or directly from clinical samples. As such, WGS is likely to replace many of the technologies described above over the next few years
6
100  P RIN C IP L ES O F I NFE C TI O US D IS E ASE
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Gram stain
Gram-positive
Colony morphology (e.g.
haemolysis), Gram stain
appearance, agglutination
reactions, coagulase test,
Gram-positive cocci–clusters
Examples
Staphylococcus aureus
Coagulase-negative staphylococci
Gram-positive cocci–chains
Examples
Oral streptococci
Streptococcus pneumoniae (often
pairs) -haemolytic strepto­cocci Enterococci (short chains)
cocci
catalase
or
Gram-positive
Colony morphology, growth
characteristics (e.g. growth
in anaerobic atmosphere),
Gram stain appearance,
MALDI-TOF-MS identification
Examples
Actinomycetes
Arcanobacterium haemo­lyticum Bacillus spp. Corynebacterium diphtheriae Lactobacillus spp. Listeria monocytogenes Nocardia spp. Clostridium spp.
bacilli
Gram-negative
Colony morphology, growth
characteristics, oxidase
fermentation/MALDI-TOF-MS
Examples
Neisseria meningitidis Neisseria gonorrhoeae Moraxella catarrhalis
cocci
reaction, sugar
identification
Gram-negative
Colony morphology, growth
reaction, MALDI-TOF-MS
Examples
Escherichia coli Klebsiella pneumoniae Proteus spp. Enterobacter spp. Serratia spp. Salmonella spp. Shigella spp. Yersinia spp. Vibrio spp. Pseudomonas aeruginosa
bacilli
characteristics, lactose
fermentation, oxidase
identification
Fig. 6.3 Flow chart for bacterial identication, including Gram lm appearances on light microscopy (×100). (MALDI-TOF-MS = matrix-assisted laser desorption/
ionisation time-of-ight mass spectroscopy).
A
Fig. 6.4
β-haemolytic streptococci (A) and α-haemolytic streptococci (B)
spread on each half of a blood agar plate (backlit). This image is half life-size.
× 0.5. ß-haemolysis renders the agar transparent around the colonies (A) and
α-haemolysis imparts a green tinge to the agar (B).
Fungi exist as either moulds (lamentous fungi) or yeasts. Dimorphic fungi exist in either form, depending on environmental conditions (see
Fig. 13.62). The fungal plasma membrane differs from the human cell
membrane in that it contains the sterol, ergosterol. Fungi have a cell wall made up of polysaccharides, chitin and mannoproteins. In most
D
B
fungi, the main structural component of the cell wall is β-1,3­polysaccharide. These differences from mammalian cells are important
-glucan, a
because they offer useful therapeutic targets.
Protozoa and helminths are often referred to as parasites. Many par­asites have complex multistage life cycles, which involve animal and/or plant hosts in addition to humans.
Prions
Although prions are transmissible and have some of the characteristics of infectious agents, they are not microorganisms, and are discussed on page 1181.
Normal microbial ora
The human body is colonised by large numbers of microorganisms (collec­tively termed the human microbiota). Colonising bacteria, also referred to as the ‘normal bacterial ora’, are able to survive and replicate on epithelial
Host–p athog en in terac tions  101
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Scalp
As for skin
Oral cavity
Oral streptococci (α-haemolytic) Anaerobic Gram-positive bacilli (including Actinomyces spp.) Anaerobic Gram-negative bacilli
Prevotella spp. Fusobacterium spp. Candida spp.
Skin
Coagulase-negative staphylococci
Staph. aureus Corynebacterium spp. Propionibacterium spp. Malassezia spp.
Hands
Resident: as for skin Transient: skin flora (including meticillin-resistant and other Staph. aureus), bowel flora (including Clostridioides difficile, Candida spp. and Enterobacterales)
Vagina
Lactobacillus spp. Staph. aureus Candida spp.
Enterobacterales Strep. agalactiae (group B)
Perineum
As for skin As for large bowel
Nares
Staph. aureus
Coagulase-negative staphylococci
Pharynx
Haemophilus spp. Moraxella catarrhalis Neisseria spp. (including N. meningitidis) Staph. aureus Strep. pneumoniae Strep. pyogenes (group A)
Oral streptococci (α-haemolytic)
Small bowel
Distally, progressively increasing numbers of large bowel bacteria Candida spp.
Large bowel
Enterobacterales
Escherichia coli Klebsiella spp. Enterobacter spp. Proteus spp.
Enterococci
E. faecalis E. faecium Streptococcus anginosus group Strep. anginosus Strep. intermedius Strep. constellatus
Anaerobic Gram-positive bacilli Clostridium spp. Anaerobic Gram-negative bacilli
Bacteroides spp. Prevotella spp. Candida spp.
6
Fig. 6.5 Human non-sterile sites and normal ora in health.
surfaces, e.g. skin and mucosal surfaces. The gastrointestinal tract and the mouth are the two most heavily colonised sites in the body and they have distinct microbiota, in both composition and function. Knowledge of non-sterile body sites and their normal bacterial ora is required to inform microbiological sampling strategies and interpret culture results (Fig. 6.5).
The microbiota is the total burden of microorganisms, their genes and their environmental interactions, and is now recognised to have a profound inuence on human health and disease. Maintenance of the normal ora is benecial to normal immune function. Other functions include: lower gas­trointestinal tract bacteria synthesise and excrete vitamins (e.g. vitamins K and B
); colonisation with normal ora confers ‘colonisation resistance’ to
12
infection with pathogenic organisms by altering the local environment (e.g. lowering pH), producing antibacterial agents (e.g. bacteriocins (small anti­microbial peptides/proteins), fatty acids and metabolic waste products), and inducing host antibodies that cross-react with pathogenic organisms.
Conversely, some body sites are either sterile or contain very low num­bers of colonising bacteria. For example, the submucosal tissues, blood stream, peritoneal and pleural cavities are maintained as sterile by physi­cal separation from the external environment; and the lower airways and bladder, sites that were formerly believed to be sterile but are now known to support limited microbiota, are protected from excessive contamina­tion by the mucociliary escalator and urethral sphincter respectively, as well as local immune responses.
Members of the normal ora can cause (endogenous) infection by ‘translocation’ from their normal habitat to other body sites or by exces­sive growth at the ‘normal’ site (overgrowth). Overgrowth is exemplied by dental caries and ‘blind loop’ syndrome (p. 821). Translocation results from spread along a surface or penetration through a colonised surface, e.g. urinary tract infection caused by perineal/enteric ora, and surgical
site infections, particularly of prosthetic materials, caused by skin ora such as staphylococci. Normal ora also contribute to disease by cross-infection; organisms colonising one individual can cause disease when transferred to another, more susceptible, individual.
The importance of limiting antimicrobial-induced perturbations of microbiota is increasingly recognised. ‘Probiotics’ are proprietary microbes or mixtures of microbes administered with the aim of restor­ing a benecial prole of gastrointestinal normal ora. Faecal microora transplantation (FMT) has the same aim, by giving gastrointestinal micro­biota from healthy people (ltered extract of faeces) to a patient. Although the clinical effectiveness of probiotics remains a subject of debate, FMT has proven benet in recurrent C. difcile infection.
Host–pathogen interactions
A ‘pathogen’ is a microorganism that can cause infection. The manifes­tations of infection, including a pathogen’s ability to cause severe disease in a previously healthy host, are affected by its ‘virulence’. Virulence is determined by the number and type of disease-causing proteins and other factors that it can produce (‘virulence factors’).
Primary pathogens cause disease in a proportion of individuals to
whom they are exposed, regardless of the host’s immunological status.
Opportunistic pathogens cause disease only in individuals whose
host defences are compromised, e.g. by an intravascular catheter, or when the immune system is compromised, by genetic suscepti­bility or immunosuppressive therapy.
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Determinants of virulence
For a primary pathogen to cause infection in a healthy host it must compete with colonising ora to reach target host cells. It can do this in various ways, including sequestration of nutrients, adapting metab­olism to exploit metabolites not used by commensal ora, production of bacteriocins, and using motility to ‘swim’ to the site of infection. Many microorganisms, including viruses, use ‘adhesins’ to initiate their attachment to host cells. Some pathogens can invade through tis­sues. Many bacteria and fungi multiply after initial adhesion to a host surface to form ‘biolms’. These are complex three-dimensional struc­tures surrounded by a matrix of host and bacterial products, which afford protection to the colony and limit the effectiveness of antimicro­bials. Biolm-related infections on man-made medical devices such as vascular catheters or grafts can be particularly difcult to treat.
Pathogens may produce toxins, microbial molecules that cause adverse effects on host cells, either at the site of infection, or remotely following carriage through the blood stream. Endotoxin is the lipid component of Gram-negative bacterial outer membrane lipopoly­saccharide. It is released when bacterial cells are damaged and has generalised inflammatory effects. Exotoxins are proteins released by living bacteria, which often have specific effects on target organs (Box 6.3).
Intracellular pathogens, including viruses, bacteria (e.g. Salmonella spp., Listeria monocytogenes and Mycobacterium tuberculosis), para- sites (e.g. Leishmania spp.) and fungi (e.g. Histoplasma capsulatum), are able to survive in intracellular environments, including after phagocytosis by macrophages. Pathogenic bacteria express different genes, depend­ing on environmental stress (pH, iron starvation, O2 starvation etc.) and anatomical location.
Genetic diversity enhances the pathogenic capacity of bacteria. Some virulence factor genes are found on plasmids or in phages and are exchanged between different strains or species. The ability to acquire genes from the gene pool of all strains of the species increases diver­sity and the potential for pathogenicity. Viruses exploit their rapid repro­duction and potential to exchange nucleic acid with other strains of the virus to enhance diversity. Once a new strain acquires sufcient virulence genes, including those enhancing infectivity, it may become an epidemic or pandemic strain, resulting in regional or global transmission, respec­tively. This phenomenon accounts for inuenza and COVID-19 pandem­ics (see Box 6.10 and Ch. 13).
The host response
Innate and adaptive immune and inammatory responses, which humans use to control the normal ora and respond to pathogens, are reviewed in Chapter 4
6.3 Exotoxin-mediated bacterial diseases
Disease Organism
Antibiotic-associated diarrhoea/ pseudomembranous colitis
Botulism Clostridium botulinum
Cholera Vibrio cholerae
Diphtheria Corynebacterium diphtheriae
Haemolytic uraemic syndrome Enterohaemorrhagic Escherichia coli
Necrotising pneumonia Staphylococcus aureus
Tetanus Clostridium tetani
Toxic shock syndrome Staph. aureus
Clostridioides difcile
(E. coli O157 and other strains)
Streptococcus pyogenes
Pathogenesis of infectious disease
The severity of an infection is determined by the virulence of the pathogen and the host response. Whilst an intact host response protects against infection or reduces its severity, an excessive response can be damaging. Both the host immune response and pathogen-produced factors can contribute to tissue injury and systemic manifestations of infection (see ‘Sepsis’, p. 198). The contribution of the immune response to disease manifestations is exemplied by the immune reconstitution inammatory syndrome (IRIS), which can be seen in human immunodeciency virus (HIV) infection, post-transplantation neutropenia or tuberculosis (which causes suppression of T-cell function): there is a paradoxical worsening of the clinical condition as the immune dysfunction is corrected, caused by an exuberant but dysregulated inammatory response.
Clinical manifestations of infection
The clinical manifestations of infection can be localised to the site of infection or generalised. Examples of local manifestations include the inammation of cellulitis, facial pain of sinusitis or neck stiffness of men­ingitis (Ch. 13). Generalised manifestations include sweats, chills (feeling very cold, even with extra clothes/blankets), rigors, fevers, anorexia, leth­argy and generalised aches, and many of these result from the immune response to infection. While the presence of infection may be clinically clear in some settings, often it is not. Identifying the responsible patho­gen in patients with infection is usually not possible on clinical grounds, neither is prediction of pathogen susceptibility and resistance to antimi­crobial agents. Hence there is a need to carefully investigate suspected infections to optimise, or avoid unnecessary, antimicrobial therapy. Rigors are a clinical symptom (or sign if they are witnessed) characterised by feeling very cold (‘chills’) and uncontrollable shivering, usually followed by fever and sweating. Rigors occur when the thermoregulatory centre attempts to correct a core temperature to a higher level by stimulating skeletal muscle activity and shaking.
Thermoregulation can be altered during infection, causing both hyper­thermia (fever) and hypothermia. Fever is mediated mainly by ‘pyrogenic cytokines’ (e.g. interleukins IL-1 and IL-6, and tumour necrosis factor (TNF)), which are released in response to various stimuli. including acti­vation of pattern recognition receptors (PRRs) by microbial products (e.g. lipopolysaccharide) and factors released by injured cells (Ch. 4). This induces prostaglandin E
in the preoptic nucleus of the hypothalamus (thermoregulatory centre), causing the core temperature to rise.
production, which binds to specic receptors
2
Investigation of infection
The aims of investigating a patient with suspected infection are: to con­rm the presence of infection; identify the specic pathogen(s); and, where appropriate, identify its susceptibility to specic antimicrobial agents in order to optimise therapy. Pathogens may be detected directly (e.g. by culturing a normally sterile body site) or their presence may be inferred by identifying the host response to the organism (‘indirect detection’, Box 6.4), e.g. C-reactive protein or procalcitonin as part of the acute phase response (p. 68), although these are activated to varying extents by other inammatory stimuli. Careful sampling increases the likelihood of diagnosis (Box 6.5). Culture results must be interpreted in the context of the normal ora at the sampled site (see Fig.
6.5). The extent to which a microbiological test result supports or excludes
a particular diagnosis depends on its statistical performance (e.g. sensitivity, specicity, positive and negative predictive value). Sensitivity and specicity vary according to the type of test, sampling and processing techniques, and time between infection and testing. Positive and negative predictive values depend on the prevalence of the condition in the test population. The com­plexity of test interpretation is illustrated in Figure 6.8 below, which shows the ‘windows of opportunity’ afforded by various testing methods. Given this complexity, coordinated thought and action ensures appropriate test application and timing; effective communication between clinicians and the microbiologists facilitates optimal results and interpretation.
Inve st igati on of infe ction  103
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6.4 Tests used to diagnose infection
Non-specic markers of inammation/infection
e.g. White cell count in blood sample (WCC), plasma C-reactive protein (CRP),
procalcitonin (PCT)*, serum lactate, cell counts in urine or cerebrospinal uid (CSF), CSF protein and glucose
Direct detection of organisms or organism components
MicroscopyDetection of organism components (e.g. antigen, toxin)Nucleic acid amplication tests (e.g. polymerase chain reaction)
Culture of organisms
± Antimicrobial susceptibility testing
Tests of the host’s specic immune response
Antibody detectionInterferon-gamma release assays (IGRA)
Although PCT is used increasingly in clinical practice, further evidence is required to establish
*
its precise role in distinguishing bacterial infections from other causes of inammation.
6.5 How to provide samples for microbiological sampling
Communicate with the laboratory
Discuss samples that require processing urgently or that may contain hazardous
or unusual pathogens with laboratory staff before collection
Communication is key to optimising microbiological diagnosis. If there is doubt about
any aspect of sampling, it is far better to discuss it with laboratory staff beforehand than to risk diagnostic delay by inappropriate sampling or sample handling
Take samples based on a clinical diagnosis
Sampling in the absence of clinical evidence of infection is rarely appropriate
(e.g. collecting urine, or sputum for culture)
Use the correct container
Certain tests (e.g. nucleic acid and antigen detection tests) require proprietary
sample collection equipment
Follow sample collection procedures
Failure to follow sample collection instructions precisely can result in false-
positive (e.g. contamination of blood culture samples) or false-negative (e.g. collection of insufcient blood for culture) results
Label sample and request form correctly
Label sample containers and request forms according to local policies, with
demographic identiers, specimen type and time/date collected
Include clinical details on request formsIdentify samples carrying a high risk of infection (e.g. blood liable to contain a
blood-borne virus) with a hazard label
Use appropriate packaging
Close sample containers tightly and package securely (usually in sealed plastic
bags)
Attach request forms to samples but not in the same compartment (to avoid
contamination, should leakage occur)
Manage storage and transport
Transport samples to the microbiology laboratory quicklyConsider pre-transport storage, conditions (e.g. refrigeration, incubation,
storage at room temperature) vary with sample type
Notify the receiving laboratory prior to arrival of unusual or urgent samples, to
ensure timely processing
Direct detection of pathogens
Some direct detection methods provide rapid results and enable detec­tion of organisms that cannot be grown easily on articial culture media, such as Chlamydia spp.; they can also provide information on antimicro­bial susceptibility, e.g. M. tuberculosis.
Detection of whole organisms
Whole organisms are detected by examination of biological uids or tis­sue using a microscope.
Bright eld microscopy (in which the test sample is interposed
between the light source and the objective lens) uses stains to enhance visual contrast between the organism and its background. Examples include Gram staining of bacteria and Ziehl–Neelsen or auramine staining of acid- and alcohol-fast bacilli (AAFB) in tubercu­losis (the latter requires an ultraviolet light source). In histopatholog­ical examination of tissue samples, stains are used to demonstrate not only the presence of microorganisms but also features of dis­ease pathology.
Dark eld microscopy (in which light is scattered to make organisms
appear bright on a dark background) is used, for example, to exam­ine genital chancre uid in suspected syphilis.
Electron microscopy may be used to examine stool and vesicle uid
to detect enteric and herpesviruses, respectively, but its use has largely been supplanted by nucleic acid detection (see below).
Flow cytometry can be used to analyse liquid samples (e.g. urine) for
the presence of particles based on properties such as size, imped­ance and light scatter. This technique can detect bacteria but may misidentify other particles as bacteria too.
Detection of components of organisms
Components of microorganisms detected for diagnostic purposes include nucleic acids, cell wall molecules, toxins and other antigens. Commonly used examples include SARS-CoV-2 antigen in respiratory secretions, Legionella pneumophila serogroup 1 antigen in urine and cryptococcal polysaccharide antigen in cerebrospinal uid (CSF). Most antigen detec­tion methods are based on in vitro binding of specic antigen/antibody and are therefore described with serological tests below. Other methods may be used, such as tissue culture cytotoxicity assay for C. difcile toxin. In toxin-mediated disease, detection of toxin may be of greater relevance than identication of the organism itself (e.g. stool C. difcile toxin).
Nucleic acid amplication tests
In a nucleic acid amplication test (NAAT), specic sequences of micro­bial DNA or RNA are identied using a nucleic acid primer that is ampli­ed exponentially by enzymes to generate multiple copies of a target nucleotide sequence. The most commonly used NAAT is the polymerase chain reaction (PCR; see Fig. 3.11). Reverse transcription PCR (RT-PCR) is used to detect RNA from RNA viruses. The use of uorescent labels in the reaction enables ‘real-time’ detection of amplied DNA; quanti­cation is based on the principle that the time taken to reach the detec­tion threshold is proportional to the initial number of copies of the target nucleic acid sequence. In ‘broad range’ (bacterial) PCR the primers are targeted to parts of the gene that encode 16S ribosomal RNA (rRNA) that have shared DNA sequences across most bacteria. Between these shared DNA sequences, the 16S rRNA gene varies between species; so, using PCR, nucleotide sequencing of the product and comparison of the DNA sequence information with large databases, bacterial detection and species identication can be achieved. In multiplex PCR, multiple primer pairs are used to enable detection of several different organisms in a single reaction.
Determination of nucleotide sequences in a target gene(s) can be used to assign microorganisms to specic strains, which may be relevant to treatment and/or prognosis (e.g. in hepatitis C infection). Genes that are relevant to virulence (such as toxin genes) or antimicrobial resistance can also be detected; for example, the mecA gene can be used to screen for MRSA.
NAATs are the most sensitive direct detection methods and are also relatively rapid. They are used widely in virology, where the possibility of false-positive results from colonising or contaminating organisms is
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