Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients?
Abstract Background Hemoglobin A1C (HbA1C) test is the best care evaluation measurement due to a strong correlation between the test results and diabetic complications. So, this cross-sectional study aimed to assess whether the level of HbA1C can predict Diabetic Retinopathy (DR) among Type 2 diabet...
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | BMC Ophthalmology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12886-022-02608-3 |
| _version_ | 1798044294348537856 |
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| author | Javad Setareh Ghazale Hoseinzade Batoul Khoundabi Mahsa Kamali Ata Ebrahimi Andarz Fazlollahpour-Naghibi Mohammad Zareei Mona Mohamaditabar Ali Makaremi |
| author_facet | Javad Setareh Ghazale Hoseinzade Batoul Khoundabi Mahsa Kamali Ata Ebrahimi Andarz Fazlollahpour-Naghibi Mohammad Zareei Mona Mohamaditabar Ali Makaremi |
| author_sort | Javad Setareh |
| collection | DOAJ |
| description | Abstract Background Hemoglobin A1C (HbA1C) test is the best care evaluation measurement due to a strong correlation between the test results and diabetic complications. So, this cross-sectional study aimed to assess whether the level of HbA1C can predict Diabetic Retinopathy (DR) among Type 2 diabetes mellitus (T2DM) in the Iranian population. Method One hundred sixty-eight diabetic patients were selected via the convenience sampling method. Data were collected by research made questionnaire scale and laboratory test had been done. To estimate the cut off point for some variables statistical tests, formal measures of classification performance, model evaluation criteria and a decision Tree were used. Results The prevalence of DR was 29.8%. The Receiver Operating Characteristic (ROC) curve and decision tree showed the optimal cut-off point for the HbA1C variable that separates the patient with and without DR is HbA1C = 8.15. Conclusion Current study showed an appropriate cutoff point for detecting the development of DR among diabetic patients. So, this cutoff point can be used as guide evidence in several clinical judgments on the Iranian population. |
| first_indexed | 2024-04-11T23:01:28Z |
| format | Article |
| id | doaj.art-2ed342d1defc40e28fe0e68c04c345e0 |
| institution | Directory Open Access Journal |
| issn | 1471-2415 |
| language | English |
| last_indexed | 2024-04-11T23:01:28Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Ophthalmology |
| spelling | doaj.art-2ed342d1defc40e28fe0e68c04c345e02022-12-22T03:58:07ZengBMCBMC Ophthalmology1471-24152022-10-012211810.1186/s12886-022-02608-3Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients?Javad Setareh0Ghazale Hoseinzade1Batoul Khoundabi2Mahsa Kamali3Ata Ebrahimi4Andarz Fazlollahpour-Naghibi5Mohammad Zareei6Mona Mohamaditabar7Ali Makaremi8Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Mazandaran University of Medical SciencesFaculty of Medicine, Sari branch, Islamic Azad UniversityIran Helal Institute of Applied-Science and TechnologyPediatric Infectious Diseases Research Center, Communicable Diseases Institute, Mazandaran University of Medical SciencesFaculty of Medicine, Sari branch, Islamic Azad UniversityFaculty of Medicine, Sari branch, Islamic Azad UniversityFaculty of Medicine, Sari branch, Islamic Azad UniversityFaculty of Medicine, Sari branch, Islamic Azad UniversityDepartment of ophthalmology, Faculty of medicine, Sari branch, Islamic Azad UniversityAbstract Background Hemoglobin A1C (HbA1C) test is the best care evaluation measurement due to a strong correlation between the test results and diabetic complications. So, this cross-sectional study aimed to assess whether the level of HbA1C can predict Diabetic Retinopathy (DR) among Type 2 diabetes mellitus (T2DM) in the Iranian population. Method One hundred sixty-eight diabetic patients were selected via the convenience sampling method. Data were collected by research made questionnaire scale and laboratory test had been done. To estimate the cut off point for some variables statistical tests, formal measures of classification performance, model evaluation criteria and a decision Tree were used. Results The prevalence of DR was 29.8%. The Receiver Operating Characteristic (ROC) curve and decision tree showed the optimal cut-off point for the HbA1C variable that separates the patient with and without DR is HbA1C = 8.15. Conclusion Current study showed an appropriate cutoff point for detecting the development of DR among diabetic patients. So, this cutoff point can be used as guide evidence in several clinical judgments on the Iranian population.https://doi.org/10.1186/s12886-022-02608-3DiabetesRetinopathyHbA1CEpidemiologyDiagnosis |
| spellingShingle | Javad Setareh Ghazale Hoseinzade Batoul Khoundabi Mahsa Kamali Ata Ebrahimi Andarz Fazlollahpour-Naghibi Mohammad Zareei Mona Mohamaditabar Ali Makaremi Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients? BMC Ophthalmology Diabetes Retinopathy HbA1C Epidemiology Diagnosis |
| title | Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients? |
| title_full | Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients? |
| title_fullStr | Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients? |
| title_full_unstemmed | Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients? |
| title_short | Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients? |
| title_sort | can the level of hba1c predict diabetic retinopathy among type ii diabetic patients |
| topic | Diabetes Retinopathy HbA1C Epidemiology Diagnosis |
| url | https://doi.org/10.1186/s12886-022-02608-3 |
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