Evidence Hub

Antibiotic exposure and drug-induced intracranial hypertension: a systematic review and meta-analysis

Tao BK, Lim K, Hwang J, Qureshi AR, Dhivagaran T, Butt F, Xie JS, Micieli JA et al.

Eye (London, England), 2025

2 citations

Abstract

Background/objectives: Drug-induced intracranial hypertension (DIH) is a rare condition that has been associated with several risk factors, including exposure to certain medications. Herein, we synthesised the literature-pooled quantitative risk of developing DIH with antibiotics use.

Subjects/methods: Medline, Embase, and Cochrane Library were searched (inception to June 2024). We included observational or randomised studies reporting the incidence of antibiotic-related DIH, or the comparative odds of DIH between antibiotic users and non-users. Risk of bias was assessed via the ROBINS-E tool. Non-pairwise and pairwise meta-analyses (with random effects) were conducted to determine the pooled incidence of antibiotic-related DIH and the comparative odds of DIH among antibiotic users and non-users, respectively.

Results: We identified 10 studies (all observational studies). Overall, tetracycline class antibiotics were significantly associated with DIH in both least- (3.96, 95%CI [1.33, 11.78], p = 0.013, I2: 98.7%) and most-adjusted (2.40, 95%CI [1.87, 3.06], p 2: 19.0%) analyses. Likewise, quinolone class antibiotics were significantly associated with DIH in both least- (2.54, 95%CI [1.57, 4.10], p 2: 78%) and most-adjusted (2.70, 95%CI [1.54, 4.75], p 2: 83.2%) analyses. Sensitivity analyses with the leave-one-out method or omission of "serious" risk of bias studies yielded consistent findings.

Conclusions: Despite unclear pathophysiology, low certainty evidence supports…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free