Trends in Clinico-Epidemiological Profile and Outcomes of Patients with HIV-Associated Cryptococcal Meningitis in Shanghai, China, 2013-2023.
Zihui ZhaoWei SongLi LiuTangkai QiZhenyan WangYang TangJianjun SunShuibao XuJunyang YangJiangrong WangJun ChenRenfang ZhangYinzhong ShenPublished in: Viruses (2024)
The study aimed to analyze changes in the clinical and epidemiological aspects of HIV-associated cryptococcal meningitis (CM) patients and to identify factors influencing their prognosis. Clinical data of patients with HIV-associated CM treated in Shanghai, China between 2013 and 2023 were collected. This study included 279 cases, 2.89% of AIDS patients, showing a yearly decrease in CM prevalence among AIDS patients ( p < 0.001). Overall mortality was 10.39% with rates declining from a 2013 peak of 15.38% to 0% in 2023 despite no significant temporal pattern ( p = 0.265). Diagnosis took an average of 18 ± 1 days post-symptoms, and admission CD4 counts averaged 29.2 ± 2.5 cells/μL, hinting at a non-significant decline. Frequent symptoms included fever (62.4%), headache (61.6%), fatigue (44.1%), and appetite loss (39.8%), with younger patients more likely to initially show signs of meningeal irritation. Logistic regression analysis underscored the prognostic importance of cerebrospinal fluid (CSF) white blood cell (WBC) count and procalcitonin levels. Over the decade spanning from 2013 to 2023, the incidence and mortality rates of CM among AIDS patients exhibited a downward trend. The average duration from the onset of CM to confirmation of diagnosis remained prolonged. CSF WBC count and procalcitonin levels were associated with unfavorable outcomes.
Keyphrases
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- antiretroviral therapy
- cerebrospinal fluid
- human immunodeficiency virus
- emergency department
- stem cells
- hepatitis c virus
- skeletal muscle
- hiv infected
- risk factors
- cell proliferation
- adipose tissue
- hiv positive
- cardiovascular disease
- signaling pathway
- coronary artery disease
- mesenchymal stem cells
- patient reported
- electronic health record
- artificial intelligence
- hiv testing
- weight loss
- cell therapy
- deep learning
- big data
- glycemic control