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Big data and the eyeSmart electronic medical record system - An 8-year experience from a three-tier eye care network in India.大数据与眼智电子病历系统——来自印度三级眼保健网络的八年经验
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Bacterial profile of ocular infections: a systematic review.眼部感染的细菌谱:一项系统评价。
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Update on the Epidemiology and Antibiotic Resistance of Ocular Infections.眼部感染的流行病学与抗生素耐药性最新进展
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印度多层次眼科网络中眼部感染的微生物景观和流行病学:基于电子病历的分析报告。

The microbiological landscape and epidemiology of ocular infections in a multi-tier ophthalmology network in India: an electronic medical record driven analytics report.

机构信息

Department of eyeSmart EMR & AEye, L V Prasad Eye Institute, Hyderabad, Telangana, India.

Indian Health Outcomes, Public Health and Economics Research Centre, Hyderabad, Telangana, India.

出版信息

Eye (Lond). 2023 Jun;37(8):1590-1595. doi: 10.1038/s41433-022-02191-3. Epub 2022 Jul 30.

DOI:10.1038/s41433-022-02191-3
PMID:35907944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10219986/
Abstract

OBJECTIVE

To study the epidemiology and landscape of ocular infections in patients undergoing microbiological investigations across a multi-tier ophthalmology network in India.

METHODS

This cross-sectional hospital-based study included 15,822 patients in whom microbiology samples were analysed between September 2013 and December 2021. Ocular tissue of patients in whom a microbiology sample was processed in at least one eye were included. The data were collected using an indigenously developed electronic medical record system.

RESULTS

Among the 15,822 patients, bacteria (51.06%) was the most common aetiology followed by fungus (38.27%). The majority of the patients were male (68.10%) and adults (90.01%). The most common age group was during the sixth decade of life with 2,914 (18.42%) patients. The patients were more commonly from the lower socio-economic status (51.61%) and from the rural geography (46.82%). Majority of the specimens sent for microbiological analysis were corneal scrapings (68.61%) followed by vitreous (8.77%). The most common bacteria isolated was Staphylococcus aureus (14.45%) followed by Pseudomonas aeruginosa (12.53%) and among the fungus were Fusarium (30.53%) and Aspergillus species (29.86%). Acanthamoeba (1.26%) and Microsporidia (0.38%) accounted for a minority of the infections in the samples. Fungus (53.10%; p ≤ 0.00001) and virus (51.08%; p = 0.000673) aetiology was found to be significantly higher in patients presenting from the rural geography.

CONCLUSION

The most common aetiology of infection in ocular disease is bacterial but fungal infections also accounted for a significant proportion. The majority of the patients with ocular infections presented from the rural geography and from lower socio-economic status.

摘要

目的

研究印度多级别眼科网络中进行微生物学检查的患者眼部感染的流行病学和发病情况。

方法

这是一项横断面医院研究,纳入了 2013 年 9 月至 2021 年 12 月间至少一只眼进行了微生物样本分析的 15822 名患者。纳入了对眼部组织进行了微生物样本处理的患者。数据是使用自主开发的电子病历系统收集的。

结果

在 15822 名患者中,细菌(51.06%)是最常见的病因,其次是真菌(38.27%)。大多数患者为男性(68.10%)和成年人(90.01%)。最常见的年龄组是 60 岁,有 2914 名(18.42%)患者。患者更常见于较低社会经济地位(51.61%)和农村地区(46.82%)。大多数用于微生物分析的标本是角膜刮片(68.61%),其次是玻璃体(8.77%)。分离出的最常见细菌是金黄色葡萄球菌(14.45%),其次是铜绿假单胞菌(12.53%),真菌中以镰孢菌(30.53%)和曲霉菌属(29.86%)为主。棘阿米巴(1.26%)和微孢子虫(0.38%)在样本感染中占少数。农村地区就诊患者的真菌(53.10%;p≤0.00001)和病毒(51.08%;p=0.000673)病因明显更高。

结论

眼部疾病感染的最常见病因是细菌,但真菌感染也占很大比例。大多数眼部感染患者来自农村地区和较低社会经济地位。