Type 1 diabetes mellitus with proliferative diabetic retinopathy without macular edema
ICD-10 E10.359 is a billable code used to indicate a diagnosis of type 1 diabetes mellitus with proliferative diabetic retinopathy without macular edema.
E10.359 refers to Type 1 diabetes mellitus characterized by the presence of proliferative diabetic retinopathy (PDR) without associated macular edema. PDR is a severe form of diabetic retinopathy where new blood vessels grow in the retina, which can lead to vision loss. In Type 1 diabetes, the body does not produce insulin, leading to elevated blood glucose levels that can damage blood vessels over time. The absence of macular edema indicates that while there is significant retinal damage, the central part of the retina (the macula) is not swollen, which is a critical distinction as macular edema often leads to more severe visual impairment. Management of this condition typically involves strict glycemic control, regular ophthalmologic evaluations, and may include laser therapy to prevent further retinal damage. Monitoring HbA1c levels is crucial, as maintaining them below 7% can help reduce the risk of complications such as PDR.
Detailed records of diabetes management, including HbA1c levels and insulin regimen.
Patients presenting with uncontrolled blood sugar levels and complications such as retinopathy.
Ensure that all diabetes-related complications are documented and linked to the primary diagnosis.
Comprehensive eye exam reports detailing the presence and severity of diabetic retinopathy.
Patients undergoing routine eye exams who are diagnosed with proliferative diabetic retinopathy.
Clear documentation of the absence of macular edema is crucial for accurate coding.
Used during routine eye exams for patients with diabetes.
Complete eye exam report detailing findings.
Ophthalmologists should ensure that all findings are documented to support coding.
Specifying 'without macular edema' is crucial as it indicates a different level of severity and management for diabetic retinopathy, impacting treatment decisions and coding accuracy.
