인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
To report a challenging case of cytomegalovirus retinitis (CMVR) in a Human immunodeficiency virus (HIV) negative patient with diabetes mellitus. This is a case report about a patient who was diagnosed with diabetes mellitus type 2 and treated for chronic lymphoproliferative disease (CLD). The patient developed clinical signs of cytomegalovirus retinitis (CMVR). The patient underwent a thorough diagnostic workup and complex treatment. We present the outcomes of treatment in this challenging case. 67-year-old man initially diagnosed with both eyes mild non-proliferative diabetic retinopathy (NPDR) presented with blurred vision in the right eye. The patient presented with hypertensive anterior CMV-related anterior uveitis. The baseline visual acuities were 6/9 in both eyes with elevated IOP in the right eye (31mmHg). Dilated fundus examination revealed right eye peripheral retinitis accompanied by haemorrhages. The anterior tap confirmed the presence of CMV, and antiviral treatment has been commenced. Despite the treatment with antiviral agents, the patient developed a right eye occlusive disease along with macular edema. The patient underwent right eye pan-retinal photocoagulation (PRP) laser therapy to address occlusive and non-perfused areas in conjunction with intravitreal anti-VEGF agents. Over time, the patient achieved disease quiescence. CMV retinitis in immunocompromised, HIV-negative patients with diabetes presents significant diagnostic and therapeutic challenges. Importantly, the potential development of immune recovery uveitis (IRU) – like picture should be carefully considered during the recovery phase, as it may contribute to further vision loss if not promptly recognized and managed. This case highlights the importance of individualized, multidisciplinary care and close monitoring during both the active and post-treatment phases.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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