Anemia symptoms in eyes

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Common Eye Symptoms of Anemia

Anemia often shows visible symptoms in the eyes. The most frequent sign is conjunctival pallor, where the inside of the lower eyelid or the conjunctiva appears pale instead of its usual healthy pink color. This was observed in about 77% of anemic patients in one study, making it the most common ocular manifestation of anemia 134678910. Other eye-related symptoms include yellowish discoloration of the eyes (scleral icterus or jaundice), which can occur when anemia is caused by the breakdown of red blood cells, leading to increased bilirubin levels 25.

Additional Ocular Manifestations

Besides conjunctival pallor, anemia can also cause retinal hemorrhages, which are small areas of bleeding in the retina, seen in about 18% of cases in one study. Posterior pole pallor, a paleness at the back of the eye, was also noted in some patients . These symptoms are more likely to appear in moderate to severe anemia.

Diagnostic Importance of Eye Symptoms

The appearance of pale conjunctiva is not only a symptom but also a useful, non-invasive indicator for screening and diagnosing anemia. Several studies have shown that analyzing images of the eye conjunctiva using machine learning and image processing techniques can accurately predict anemia, with reported accuracies ranging from 82% to 92% 3678910. This approach is especially valuable in settings where blood tests are not easily accessible.

Eye Symptoms in Special Types of Anemia

In certain types of anemia, such as hemolytic anemia (where red blood cells break down prematurely), yellowing of the eyes (jaundice) is a prominent symptom due to the buildup of bilirubin 25. This is in addition to the general pallor seen in most anemic conditions.

Conclusion

In summary, the most common eye symptoms of anemia are conjunctival pallor and, in some cases, yellowing of the eyes. More severe anemia can also cause retinal hemorrhages and posterior pole pallor. These visible signs are important for early detection and diagnosis, and new non-invasive technologies are making it easier to identify anemia by examining the eyes. Early recognition of these symptoms can help prompt treatment and prevent complications.

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Most relevant research papers on this topic

A CROSS-SECTIONAL STUDY ON OCULAR MANIFESTATIONS OF ANEMIA

Anemia can cause various ocular manifestations, with conjunctival pallor being the most common, and early diagnosis of retinopathy aiding in early treatment and resolution of retinal hemorrhage.

2024·

0citations

·Mahalakshmi Math et al.

Anaemia: Symptoms, Causes, Prevention, Diagnosis and Treatment

Anaemia can be prevented by eating a balanced diet and using iron supplements, and can be diagnosed by examining the patient's symptoms and examining the blood.

2019·

2citations

·Natasha Khalid et al.

Anemia Detection Through Conjunctiva on Eyes Using Principal Component Analysis Method and K-Nearest Neighbor

Anemia detection through the conjunctiva of the eye using Principal Component Analysis and K-Nearest Neighbor methods has an accuracy of 87.5%, making it a non-invasive method for detecting anemia.

2022·

2citations

·Siti Asiyah et al.

Pemberian Sari Kacang Hijau Untuk Meningkatkan Kadar Hemoglobin Ibu Hamil Dengan Anemia Ringan

Consuming green bean extract 2x/250ml for 7 days effectively increased hemoglobin levels in a pregnant woman with acute anemia, improving her overall health.

Case Report

2023·

1citation

·Indah Purwati et al.

Triose phosphate-isomerase deficiency

Triose phosphate-isomerase deficiency causes anemia in infancy, leading to fatigue, pale skin, and shortness of breath, with excess bilirubin causing jaundice.

2020·

17citations

Detection of Anemia from Palpebral Image of Anterior Conjunctiva Using SVM Classifier

This study developed a novel method for diagnosing anemia using eye images, achieving an accuracy rate of 91% in identifying normal and abnormal patients.

2024·

0citations

·Sofia Bobby J et al.

An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset

This paper presents a novel intelligent system using machine learning, trained on eye conjunctiva photos, for noninvasive and cost-effective anemia diagnosis.

2022·

44citations

·G. Dimauro et al.

A Systematic Approach to Predict Anemia from Eye Conjunctiva Images

This study proposes a non-invasive method to predict anemia using eye conjunctiva images, with a detection accuracy of 92%, eliminating the need for blood tests.

2023·

0citations

·N. B. Noor et al.

A Machine Learning Method to Screen Anemia From Conjunctiva Images Taken by Smartphone.

This study developed a machine learning algorithm that accurately detects anemia in third-world countries using smartphone images of the eye conjunctiva, with a 85% accuracy, 86% precision, and 81% recall rate.

2022·

2citations

·Sherif H.Elgohary et al.

Comparative Study Between Decision Tree, SVM and KNN to Predict Anaemic Condition

Decision Tree (Coarse) has the highest accuracy in detecting anemia from eye conjunctiva images, with 82.61% of correct detections compared to Linear SVM, Coarse Tree, and Cosine KNN.

Observational Study

2019·

23citations

·N. B. Noor et al.

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