Other abnormal findings in urine
ICD-10 R82.998 is a billable code used to indicate a diagnosis of other abnormal findings in urine.
R82.998 is used to classify abnormal findings in urine that do not fit into other specific categories. This code encompasses a variety of findings such as unusual constituents in urine, abnormal urine color, turbidity, or the presence of substances not typically found in normal urine. These findings may arise from various underlying conditions, including metabolic disorders, infections, or renal pathologies. For instance, the presence of glucose may indicate diabetes mellitus, while ketones could suggest diabetic ketoacidosis. Abnormal urine findings can also result from dehydration, hematuria, or urinary tract infections. Clinicians often order urinalysis as part of routine examinations or to investigate specific symptoms such as flank pain, dysuria, or changes in urinary habits. Accurate identification and coding of these findings are crucial for appropriate patient management and treatment planning.
Detailed clinical notes explaining the context of abnormal findings, including patient history and any relevant symptoms.
Patients presenting with nonspecific symptoms such as fatigue or weight loss, where urinalysis reveals abnormal findings.
Ensure that the relationship between abnormal findings and clinical symptoms is clearly documented to support the use of R82.998.
Acute care documentation must include the reason for urinalysis and any immediate clinical findings.
Patients with acute abdominal pain or hematuria presenting to the emergency department.
Rapid assessment and documentation are critical; ensure that all findings are recorded promptly to avoid coding errors.
Used when a urinalysis is performed to evaluate abnormal findings.
Document the reason for the urinalysis and any relevant clinical findings.
Ensure that the urinalysis results are clearly linked to the clinical diagnosis.
Use R82.998 when you encounter abnormal findings in urine that do not fit into other specific categories and ensure that the clinical context is well documented.
