Evidence map›Paper›PMID 39095678›Full record

ArticleInternational ophthalmology2024

Association of serum lipid profile and other systemic risk factors with retinal hard exudates in diabetic retinopathy.

Harshita Mukesh Hiran, Ajay Kamath, Teena Mariet Mendonca, Gladys R Rodrigues, Rajesh R Nayak, Gurudutt Kamath, Sumana J Kamath

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Article in International ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Harshita Mukesh HiranKasturba Medical College Mangalore, Mangalore, India.
Ajay KamathManipal Academy of Higher Education, Manipal, India.
Teena Mariet MendoncaManipal Academy of Higher Education, Manipal, India. tmendonca87@gmail.com.ORCID http://orcid.org/0000-0002-7297-386X
Gladys R RodriguesManipal Academy of Higher Education, Manipal, India.
Rajesh R NayakManipal Academy of Higher Education, Manipal, India.
Gurudutt KamathManipal Academy of Higher Education, Manipal, India.
Sumana J KamathManipal Academy of Higher Education, Manipal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiabetic macular edema is one of the leading causes of vision loss across the world. Hard exudates at the macula can lead to structural abnormalities in the retina leading to irreversible vision loss. Systemic dyslipidemia and other modifiable risk factors when identified and treated early may help prevent substantial vision loss. The purpose of this study was to study the association between serum lipid levels and other systemic risk factors like hemoglobin, HbA1c, and serum creatinine with hard exudates and macular edema in patients with diabetic retinopathy.

methodsIt is a prospective cross-sectional study conducted in a tertiary health care center in South India. 96 patients having diabetic retinopathy with hard exudates were included. Modified Airlie house classification was used to grade the hard exudates. Blood investigations including serum lipid profile, hemoglobin, HbA1c, and serum creatinine were carried out. Central subfield macular thickness was measured using optical coherence tomography.

results96 patients of type II DM with diabetic retinopathy were divided into three groups of hard exudates. A statistically significant correlation was observed between the severity of hard exudates and total cholesterol (p = 0.00), triglycerides (p = 0.00), LDL (p = 0.00), and VLDL (p = 0.00). HbA1c levels showed a statistically significant correlation with the severity of hard exudates (p = 0.09), no significant correlation was noted between hard exudates and hemoglobin levels (p = 0.27) and with serum creatinine (p = 0.612). A statistically significant association between CSMT and hard exudates (p = 0.00) was noted.

conclusionIn our study, we concluded that the severity of hard exudates is significantly associated with increasing levels of serum total cholesterol, triglycerides, LDL, VLDL, and HbA1c levels in type II DM patients presenting with diabetic retinopathy. The increasing duration of diabetes is significantly associated with increasing severity of hard exudates. Central subfield macular thickness increases with increasing severity of hard exudates in diabetic retinopathy.

Indexed as

Diabetic RetinopathyExudates and TransudatesLipidsTomography, Optical CoherenceAdultAgedBiomarkersCross-Sectional StudiesFemaleGlycated HemoglobinHumansIndiaMacular EdemaMaleMiddle AgedProspective StudiesBiomarkersGlycated HemoglobinLipidsDiabetes mellitusDiabetic macular edemaDiabetic retinopathyDyslipidemiaHard exudates

Identifiers

PMID39095678
PMCPMC11297163

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.