5300. Bacterial culture. Urine. Antimicrobial resistance profile with MIC (if microflora is detected)

Urine culture with test for antibiotic resistance evaluates their number, and determines MICs and antibiotic susceptibility.

Automated microbial identification is performed using MALDI-TOF mass spectrometry on a MALDI Biotyper Sirius IVD System analyzer (Bruker, Germany).

Bacteriological examination of urine is a key tool for diagnosing urinary tract infections (UTIs) and assessing the effectiveness of their treatment.

In the urine of a healthy person, a small amount of normal (non-pathogenic) microflora may be present. However, when the number of opportunistic bacteria increases (concentration exceeds 10⁵ CFU/ml) or true pathogens appear in the urinary tract, an infectious inflammation may develop – for example, urethritis, cystitis, or pyelonephritis.

Among young children, urinary tract infections (UTIs) rank second in prevalence after acute respiratory diseases. It is especially difficult to recognize UTIs in infants in time, since their symptoms often mimic other conditions – abdominal pain, nausea, vomiting, fever, or respiratory symptoms.

One of the risk factors for developing UTIs in infants is improper use of diapers: excessive moisture and heat disrupt the balance of normal microflora, promoting the growth of opportunistic bacteria. The most common UTI pathogen in children remains Escherichia coli. Under certain conditions, such as weakened immunity, hypothermia, or prematurity, it becomes active and causes inflammation.

The test for antibiotic resistance with MIC determination according to EUCAST or CLSI standards is a powerful tool for clinical decision-making. The MIC (minimum inhibitory concentration) is the lowest concentration of an antibiotic that inhibits bacterial growth. The MIC helps select an antibiotic dose to ensure the drug concentration in the body ensures suppression of the pathogen, taking into account its susceptibility, distribution rate, and tissue activity. A low MIC value usually correlates with a high probability of clinical success, enabels predicting treatment outcome. In the context of genitourinary infections, this is aimed at the selection of the most effective drug, avoiding irrational use of antibiotics, and reducing the risk of resistance development.

In case of a positive result, self-medication is not recommended – it is necessary to consult a doctor for clinical evaluation and treatment selection.

• Urine