Prediction of neurological disorders in HIV-infected persons in Taiwan: a nested case-control study

Author:

Weng Ya-Wei1,Lee Susan Shin-Jung1,Tsai Hung-Chin1,Hsu Chih-Hui2,Lin Sheng-Hsiang3

Affiliation:

1. Division of Infectious Disease, Department of Internal Medicine, Kaohsiung Veterans General Hospital

2. Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University

3. Institute of Clinical Medicine, College of Medicine, National Cheng Kung University

Abstract

Abstract Background Neurological disorders are still prevalent in HIV-infected people. We aimed to determine the prevalence of neurological disorders and identify their risk factors in HIV-infected persons in Taiwan. Methods We identified 30,101 HIV-infected people between 2002 and 2016 from the National Health Insurance Research Database in Taiwan, and analyzed the incidence of neurological disorders. We applied a retrospective, nested case-control study design. The individuals with (case group) and without (control group) a neurological disorder were then matched by age, sex and time. Factors associated with neurological disorders were analyzed using a conditional logistic regression model, and a nomogram was generated to estimate the risk of developing a neurological disorder. Results The incidence of neurological disorders was 13.67 per 1000 person-years. The incidence remained stable during the observation period despite the use of early treatment and more tolerable modern anti-retroviral therapy. The conditional logistic regression model identified nine clinical factors and comorbidities that were associated with neurological disorders, namely age, substance use, traumatic brain injury, psychiatric illness, HIV-associated opportunistic infections, frequency of emergency department visits, cART adherence, urbanization, and monthly income. These factors were used to establish the nomogram. Conclusion Neurological disorders are still prevalent in HIV-infected people in Taiwan. To efficiently identify those at risk, we established a nomogram with nine risk factors. This nomogram could prompt clinicians to initiate further evaluations and management of neurological disorders in this population.

Publisher

Research Square Platform LLC

Reference43 articles.

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