Bacterial infections

Updated

September 25, 2026

What are bacterial infections?

For an infectious agent, infectivity refers to the proportion of exposed persons who become infected. Pathogenicity refers to the proportion of infected individuals who develop clinically apparent disease. Virulence refers to the proportion of clinically apparent severe or fatal cases. The disease process may never progress to clinically apparent illness or result in illness that ranges from mild to severe or fatal. This range is called the spectrum of disease. Ultimately, the disease process ends in recovery, disability, or death (see Figure 2).

A bacterial infection is classified according to the site of infection and sometimes also the source of infection (see Figure 1). Some examples include:

  • Skin infections
    • Acute bacterial skin and skin structure infection (ABSSSI)
  • Lung infections
    • Community-acquired pneumonia (CAP)
      • Probably Streptococcus pneumoniae, Haemophilus influenzae, Mycoplasma pneumoniae)
    • Hospital-acquired/ventilator-associated pneumonia (HAP/VAP)
      • Probably S. aureus, Pseudomonas aeruginosa, Enterobacteria
      • Pseudomonas aeruginosa lives in moist hospital environments such as sinks and shower heads, and can also colonize the gut. It mainly infects vulnerable patients, such as those on ventilators, with burns or with weakened immune systems, and earlier antibiotic treatment raises the risk.
  • Intra-abdominal infection (IAI)
  • Blood-stream infection (BSI)
  • Urinary-tract infection (UTI)
Figure 1: Overview of bacterial infections. Typical pathogens are listed for each site of infection.

Sepsis

Sepsis is a life-threatening state. Respiratory tract infections, especially pneumonia (including HAP and VAP), are its most common source, but infections of the urinary and genital tract (genitourinary infections) are among its sources too [1].

The Sequential Organ Failure Assessment (SOFA) score is often used to assess organ failure in septic patients.

Septic shock

Septic shock is a development of sepsis that is even more severe.

Symptoms

Periods of disease

The progression of an infectious disease can be divided into five periods, which are related to the number of pathogen particles and the severity of signs and symptoms (Figure 2). Infectious diseases can be contagious during all five of the periods of disease.

Table 1: Periods of disease.
# Period/Phase/Stage Description
1 Incubation/latency Pathogen replicates. No signs or symptoms.
2 Prodromal (subclinical disease) Pathogen replicates. General signs and symptoms. The immune system is active.
3 Illness (clinical disease) Most severe and characteristic signs and symptoms. Usual time of diagnosis is early in this period.
4 Decline Pathogen particle-count declines. Signs and symptoms improve. Immune system possibly weakened—susceptibility to secondary infection.
5 Convalescence Patient returns to normal function. Signs and symptoms resolve. Some permanent damage might have occurred.

Stages might overlap. The onset of symptoms marks the transition from subclinical to clinical disease.

Figure 2: Periods of disease. This particular figure shows a complete recovery after illness. One can also imagine cases where the severity of symptoms never completely goes back to baseline (a disability) or a case where the curves are truncated earlier in time (a death). Indeed, the time-scale is arbitrary here, as is the distance in time between the different periods. The periods of disease could even overlap in some diseases, adding to the complexity.

Diagnosis

Figure 3: Typical plasma concentration-time profiles of different biomarkers of bacterial infections. Adapted from Meisner M., (1999) [2]
  • Biomarkers not specific
    • 3 markers + white blood cell count (WBC, but unspecific)
      • C-reactive protein (CRP, comes late)
      • Procalcitonin (PCT, quicker than CRP)
      • IL-6
  • Broth microdilution susceptibility testing (microbroth)
    • Accurate + expensive
  • Vitek (automated susceptibility testing by turbidity)
    • Not as accurate as microbroth
  • MALDI-TOF (mass spectrometry)
    • Identifies the species quickly, but does not test susceptibility

In the laboratory, bacteria are grown in broth, a liquid growth medium, or on agar plates, which hold a solid growth medium. On agar, a cell that divides again and again gives a heap of cells visible to the eye (a colony), although two cells that land on the same spot, or a clump of cells, also give a single colony [3].

A pure culture grown from a single colony is called an isolate, and it usually descends from a single bacterium. Below the species, a strain is a set of genetically similar descendants of one colony or cell, although the word is often used loosely. In classic microbiology, a subspecies is a named group of strains within one species that differ from the rest genetically or in their observable traits, such as Bacillus subtilis subsp. subtilis. In medicine and epidemiology, bacteria are also grouped by the molecules on their cell surface (antigens) into serotypes, or serovars, and different strains can share a serotype. The type strain of a species is the living culture its name is tied to, descended from the isolate used to describe the species [4]. The name of a species includes its genus, so Staphylococcus aureus is a species of the genus Staphylococcus. Species are grouped into genera, genera into families, families into orders and orders into classes, up to the domain [5].

An isolate from a patient’s sample is a clinical isolate. PK/PD studies are recommended to test several clinical isolates alongside a reference strain, kept in a culture collection such as the American Type Culture Collection (ATCC) and used throughout to show that results are reproducible [6]. In the protocol of one antibiotic trial, the index isolate is the one from the culture that qualified the patient for the trial, and repeat isolates from later samples are kept alongside it for analysis [7].

An isolate is wild type for a drug when it has no resistance to that drug gained through mutation or from other bacteria (acquired resistance) [8], so the same isolate can be wild type for one drug and resistant to another. How the MICs of wild-type isolates spread, and where the epidemiological cut-off falls, is covered under antibacterials.

Hand-drawn diagram in three parts. Top: a sample tube, an agar plate with mixed colonies of three colors, a plate with only golden colonies labelled isolate, a tube of cloudy suspension labelled inoculum, and a row of six wells with drug concentrations from 0.5 to 16 mg/L, the first three cloudy and the rest clear, with the MIC at 4 mg/L. Bottom left: two plates of golden colonies on a time axis, the index isolate on day 1 and a repeat isolate on day 7. Bottom right: nested boxes, family Staphylococcaceae containing genus Staphylococcus, containing the species S. aureus and S. epidermidis, each containing strains drawn as dashed boxes with dots for isolates.
Figure 4: From a patient sample to an MIC (top), the same patient in a trial over time (bottom left), and where an isolate belongs among strains, species, genus and family (bottom right). The golden colonies are Staphylococcus aureus throughout. The inoculum follows the broth microdilution protocol of Wiegand et al. [9], and the classification is from LPSN [5].

How can it be treated?

“Hit hard and hit early” (paraphrasing Paul Ehrlich)

The rules of thumb below come from clinical practice: they are empirical guidance, not findings from a single study.

In almost all cases, a treatment chosen before the bacteria are identified (empirical treatment) is used first. There is no time to wait for culture results. The “right” treatment is 90% successful, and the “wrong” treatment is 60% successful (known as the “90/60 rule”).

Most infections can be treated in 5–7 days.

What we want to know before treating an infection

  1. Probable infection source
    • History
    • Examination (lab tests, X-ray, CT-scan)
  2. Probable bacteria & antibiotic susceptibility (see e.g. Figure 1)
    • Medical training
    • Local epidemiology
    • Resistance rates: How many percent are resistant?
      • Six often-resistant hospital pathogens (ESKAPE)
  3. Individual risk of resistant bacteria
    • Previous infection with resistant bacteria
    • Recent travel
    • Hospitalization or antibiotics
  4. Other considerations
    • Allergy
    • Other drugs (interaction risk)
    • Other diseases (co-morbidities)
    • PK
  • Clinical dogmas: Infection of an implant or other foreign object (foreign body infection) -> bacteria growing in a protective slime layer on its surface (biofilm)
  • Immunosuppressive

Resistance

ImportantThe patient is not resistant

Antibiotic resistance belongs to the bacteria, not to the patient. It is the bacteria that do not respond to the antibiotic [10], so a patient is never “resistant”; they are infected with, or carry, resistant bacteria.

Resistant bacteria travel through food, water, global trade, or human travel. How bacteria become resistant, and how resistance is handled in PK/PD, is covered under antibacterials.

After initial treatment

  • Treatment re-evaluation after 3 days
    • 48 hours needed to evaluate antibiotic efficacy
    • The efficacy of antibiotic treatment is judged by signs and symptoms (Are you feeling better than yesterday?), and the course of inflammatory markers (WBC, CRP, PCT)
  • Empiric treatment should ideally be switched to targeted therapy once culture results are available (2–3 days)

Clinical studies

Clinical pharmacology studies

During an active infection, the volume of distribution of a drug may rise considerably and then fall quickly as the patient recovers, so its plasma concentrations can change markedly over the course of treatment. The European Medicines Agency (EMA) ties the PK/PD target used to choose the dose to the infection: for potentially life-threatening infections that usually carry a high bacterial load and rarely resolve on their own, such as HAP/VAP, it generally expects the target for at least a tenfold (1-log10) fall in the bacterial count, whereas for infections with a lower load or also treated by other means, such as some ABSSSI and IAI where surgery is often used, the target for no net change in the count (stasis) may be enough. Drug concentrations in the fluid lining the airways (epithelial lining fluid, ELF) and in the fluid around the brain and spinal cord (cerebrospinal fluid), which the EMA asks for when a drug is meant to treat pneumonia or meningitis (antibacterials), typically come from uninfected patients, each given a single dose at a set time before a scheduled airway examination (bronchoscopy) or spinal tap (lumbar puncture), although some ELF data from infected patients are encouraged [11].

References

[1]
Mayr FB, Yende S, Angus DC. Epidemiology of severe sepsis. Virulence 2013;5:4–11. https://doi.org/10.4161/viru.27372.
[2]
Meisner M. Procalcitonin: Erfahrungen mit einer neuen Meßgröße für bakterielle Infektionen und systemische Inflammation. J Lab Med 1999;23:263–72. https://doi.org/10.1515/labm.1999.23.5.263.
[3]
Davey HM. Life, death, and in-between: Meanings and methods in microbiology. Applied and Environmental Microbiology 2011;77:5571–6. https://doi.org/10.1128/AEM.00744-11.
[4]
Van Rossum T, Ferretti P, Maistrenko OM, Bork P. Diversity within species: Interpreting strains in microbiomes. Nature Reviews Microbiology 2020;18:491–506. https://doi.org/10.1038/s41579-020-0368-1.
[5]
Parte AC, Sardà Carbasse J, Meier-Kolthoff JP, Reimer LC, Göker M. List of prokaryotic names with standing in nomenclature (LPSN) moves to the DSMZ. International Journal of Systematic and Evolutionary Microbiology 2020;70:5607–12. https://doi.org/10.1099/ijsem.0.004332.
[6]
Bulitta JB, Hope WW, Eakin AE, Guina T, Tam VH, Louie A, et al. Generating robust and informative nonclinical in vitro and in vivo bacterial infection model efficacy data to support translation to humans. Antimicrobial Agents and Chemotherapy 2019;63:e02307–18. https://doi.org/10.1128/AAC.02307-18.
[7]
Dickstein Y, Leibovici L, Yahav D, Eliakim-Raz N, Daikos GL, Skiada A, et al. Multicentre open-label randomised controlled trial to compare colistin alone with colistin plus meropenem for the treatment of severe infections caused by carbapenem-resistant Gram-negative infections (AIDA): A study protocol. BMJ Open 2016;6:e009956. https://doi.org/10.1136/bmjopen-2015-009956.
[8]
Mouton JW, Muller AE, Canton R, Giske CG, Kahlmeter G, Turnidge J. MIC-based dose adjustment: Facts and fables. J Antimicrob Chemother 2018;73:564–8. https://doi.org/10.1093/jac/dkx427.
[9]
Wiegand I, Hilpert K, Hancock REW. Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances. Nature Protocols 2008;3:163–75. https://doi.org/10.1038/nprot.2007.521.
[10]
World Health Organization. Antimicrobial resistance 2026.
[11]