Abnormal findings on microbiological examination of urine
ICD-10 R82.7 is a billable code used to indicate a diagnosis of abnormal findings on microbiological examination of urine.
R82.7 is used to classify abnormal findings identified during microbiological examination of urine that do not fall under more specific categories. This may include the presence of bacteria, yeast, or other microorganisms that indicate infection or other pathological conditions. Common symptoms associated with abnormal findings in urine microbiology include dysuria, increased frequency of urination, urgency, and flank pain. The findings may suggest urinary tract infections (UTIs), pyelonephritis, or other renal pathologies. The clinical context is critical, as the presence of abnormal microbiological findings often necessitates further diagnostic evaluation and treatment. Clinicians must correlate laboratory results with clinical symptoms to determine the underlying cause and appropriate management. Accurate documentation of symptoms, laboratory findings, and clinical context is essential for proper coding and reimbursement.
Detailed patient history, presenting symptoms, and laboratory results must be documented to support the diagnosis.
Patients presenting with symptoms of UTI, renal colic, or unexplained hematuria.
Consideration of comorbidities that may affect urinary findings, such as diabetes or immunosuppression.
Acute care documentation must include time-sensitive symptoms, initial lab results, and any immediate interventions.
Patients with acute flank pain, fever, or severe dysuria requiring rapid assessment.
Rapid decision-making may lead to incomplete documentation; ensure all findings are recorded promptly.
Used when urine culture is performed to identify pathogens.
Document the reason for the culture and any relevant clinical findings.
Ensure that the culture results are linked to the clinical diagnosis.
Use R82.7 when there are abnormal findings on a microbiological examination of urine that do not fit into more specific categories, ensuring that clinical correlation is documented.
