Skip to main content
Open Forum Infectious Diseases logoLink to Open Forum Infectious Diseases
. 2021 Feb 5;8(4):ofab066. doi: 10.1093/ofid/ofab066

Fungal Burden and Raised Intracranial Pressure Are Independently Associated With Visual Loss in Human Immunodeficiency Virus-Associated Cryptococcal Meningitis

Síle F Molloy 1,2, Brad Ross 1, Cecilia Kanyama 3, Sayoki Mfinanga 4,5, Sokoine Lesikari 4, Robert S Heyderman 6,7,8, Newton Kalata 7,8, Jayne Ellis 7,8,9, Charles Kouanfack 10, Duncan Chanda 11, Elvis Temfack 12,13, Shabir Lakhi 14, Anand Moodley 15, Adrienne K Chan 16,17, Joep J van Oosterhout 18,19, Yacouba Mapoure 12, Peter Mwaba 20, David G Lalloo 5, Duolao Wang 5, Olivier Lortholary 21,22, Shabbar Jaffar 5, Mina C Hosseinipour 3,23, Angela Loyse 1,2, Thomas S Harrison 1,2, Tihana Bicanic 1,2,
PMCID: PMC8078267  PMID: 33937434

Abstract

Among 472 patients with human immunodeficiency virus-associated cryptococcal meningitis, 16% had severe visual loss at presentation, and 46% of these were 4-week survivors and remained severely impaired. Baseline cerebrospinal fluid opening pressure ≥40 cmH2O (adjusted odds ratio [aOR], 2.56; 95% confidence interval [CI], 1.36–4.83; P = .02) and fungal burden >6.0 log10 colonies/mL (aOR, 3.01; 95% CI, 1.58–5.7; P = .003) were independently associated with severe visual loss.

Keywords: cryptococcal meningitis, fungal burden, HIV, raised intracranial pressure, visual loss


Human immunodeficiency virus (HIV)-associated cryptococcal meningitis (CM) is the most common cause of adult meningitis in sub-Saharan Africa, and it accounts for ~180 000 deaths/year globally [1]. In addition to headache, CM often presents with altered mental status, raised intracranial pressure (ICP), and hearing and visual loss [2], with survivors often experiencing neurological sequelae [3–5]. In CM, visual loss is usually bilateral, can be sudden or gradual in onset, occurs before or during antifungal treatment, and—especially without intervention—is frequently irreversible [3, 5, 6]. Evaluation of visual acuity in encephalopathic patients is challenging: the few CM cohorts (HIV and non-HIV) that systematically examined visual acuity report a prevalence of 33%–46% for any visual impairment (<6/6 Snellen chart), with profound visual loss (<6/60) occurring in 13% of patients [5–7].

Proposed mechanisms of visual loss include direct optic nerve infiltration by cryptococci (demonstrated on autopsy as well as tissue biopsy), inflammatory arachnoiditis, or optic nerve compression through raised ICP or a more localized optic nerve compartment syndrome [5], with both fungal burden and raised ICP implicated in its pathophysiology [3, 8]. Prior, small retrospective cohorts (<100 patients) suggested that high fungal burden (cerebrospinal fluid [CSF] cryptococcal antigen titer >1024) or raised ICP (CSF opening pressure [OP] >30 cmH2O) are associated with visual loss in CM, but they have been too small to undertake multivariable analyses [3, 6]. In this study, we report on the prevalence, risk factors, and reversibility of visual loss in a large prospective CM patient multicountry cohort in sub-Saharan Africa [9].

METHODS

Anonymized data from the Advancing Cryptococcal Meningitis Treatment in Africa ([ACTA] ISCRTN 45035509) trial formed the dataset for this preplanned substudy [9]. Between 2013 and 2016, 678 adults with HIV CM were randomized to receive oral fluconazole plus flucytosine or amphotericin B-based therapy for 1 or 2 weeks. Patients had protocol-specified lumbar punctures (LPs) on day 1, 7, and 14 with OP measurements and therapeutic CSF drainage according to guidelines [10].

Visual acuity (VA) was measured at baseline (≤3 days from enrollment) and at 4 weeks using the standardized logMAR chart in surviving patients whose conscious level permitted assessment. The score, ranging from 0 (able to read all letters on the smallest line) to 1.375 (unable to read any letters), was recorded for each eye. Those unable to read any letters were assessed for finger counting, hand movement, and light perception. Those without light perception were considered blind. Patients were classified into 6 categories: (1) near-normal vision (score <0.5), (2) moderate visual loss (score ≥0.5 but <1.0), (3) finger counting (score ≥1.0 and able to count fingers), (4) hand motion perception, (5) light perception, or (6) no light perception. When VA varied between the left and right eye (9.3%, 44 of 472), data for the worst eye were analyzed. Patients did not routinely undergo computed tomography brain or fundoscopy to assess for papilloedema or other ocular pathology.

Data were analyzed using Stata v15 (StataCorp, College Station, Texas, United States), using Kruskal-Wallis tests for continuous variables, chi-squared tests for categorical variables and quantile regression to test for trend across the 6 visual acuity categories. Based on proposed pathophysiological mechanisms, univariable and multivariable logistic regression was used to investigate the association between baseline visual loss and CSF white cell count (WCC), OP, and fungal burden, adjusted a priori for age. Sex, CD4 count, and antiretroviral therapy status (naive or exposed) were not associated with visual loss, and no other measured variables were hypothesized to confound the relationship. For analysis of the association among VA, CSF, OP, and fungal burden, VA was dichotomized into near-normal/moderate vision (categories 1 and 2) and severe visual loss (categories 3–6), similar to definitions in [4].

To assess impact of antifungal therapy and therapeutic LPs on reversibility of visual impairment, rate of clearance of infection, number of LPs performed, total CSF volume removed, and change in OP over 2 weeks’ treatment was compared (1) between those with repeat measurements at 4 weeks in whom acuity deteriorated and those who improved and (2) in those that remained severe versus improved from severe.

Patient Consent Statement

Written informed consent was obtained from all participants in ACTA. Ethical approval was granted by the London School of Hygiene and Tropical Medicine Research Ethics Committee and by national research ethics committees and regulatory bodies in Malawi, Zambia, Cameroon, and Tanzania.

RESULTS

Baseline Data

Of 678 ACTA participants, VA was measured in 472 (69.6%) at baseline. Seventy-five patients (15.9%) had severe visual loss with 20 (4%) classed as blind. One fifth (15 of 75) of those with severe visual loss also reported hearing loss.

Overall, 206 (47.1%) patients had raised baseline ICP (OP ≥25 cmH2O) and median fungal burden was 4.9 log10 colonies/mL (interquartile range, 3.7–5.8) (Supplementary Table 1). Cryptococcus neoformans was the predominant species causing CM in this African cohort (337 of 382 sequenced isolates). Due to difficulties in measuring VA in unconscious patients, the VA cohort had less abnormal mental status (Glasgow Coma Scale <15) (12.5% vs 50.5%, P < .001) and lower median OP (19 vs 25 cmH2O, P < .001), but no significant differences in median fungal burden (4.9 vs 5.1 log10 colonies/mL, P = .74), compared with the entire trial cohort.

Association Among Severe Baseline Visual Loss, Opening Pressure, and Fungal Burden

Across 6 categories from near-normal to blind, decreasing VA was associated with both increased OP and higher fungal burden at baseline (P = .02 and P < .008, respectively) (Figure 1a and b). High OP and fungal burdens were also associated, with 55 (25.6%) patients with fungal burden above the median (≥4.9 log10 colonies/mL) also experiencing high OP (>40 cmH2O), compared with 33 (15.4%) with lower fungal burden (P = .009).

Figure 1.

Figure 1.

(a) Box plot (median, interquartile range, range) of baseline cerebrospinal fluid (CSF) opening pressure by visual acuity group at presentation. (b) Box plot of baseline fungal burden by visual acuity group at presentation. CF, count fingers; HM, hand motion; LP, light perception; ML, moderate loss; NN, near normal; NNV, near-normal vision; NV, no vision (blind); PL, perceives light.

In multivariable analyses, age, baseline CSF pressure (<25 cm vs ≥40 cmH2O [adjusted odds ratio {aOR}, 2.56; 95% confidence interval {CI}, 1.36–4.83; P = .02]), and fungal burden ([<5 vs >6.0 log10 colonies/mL] aOR, 3.01; 95% CI, 1.58–5.7; P = .003) were independently associated with severe visual loss (Table 1). There was no association between baseline central nervous system inflammation (CSF WCC >10 × 109/L) and visual loss on either univariable or multivariable analyses.

Table 1.

Univariable and Multivariable Analysis for the Association Between Age, Baseline CSF Opening Pressure, Baseline CSF Fungal Burden, and CSF White Cell Count and Severe Visual Loss at Presentation

Visual Acuity at CM Presentation, no. (%)
Variable (Baseline) Normal or Moderate Loss Severe Loss Unadjusted OR (95% CI) P Value Adjusted OR (95% CI) P Value*
Age
 <50 year 356 (89.7) 41 (10.3) 1 1
 ≥50 years 61 (81.3) 14 (18.7) 1.99 (1.03–3.87) .04 2.47 (1.22–5.05) .04
CSF Opening Pressure (cmH2O)
 <25 200 (86.6.0) 31 (13.4) 1 1
 25–39 98 (85.2) 17 (14.8) 1.12 (0.59–2.12) 1.28 (0.66–2.47)
 ≥40 66 (72.5) 25 (27.5) 2.44 (1.35–4.43) .003 2.56 (1.36–4.83) .02
Fungal Burden (log10 colonies/mL)
 <5.0 206 (88.4) 27 (11.6) 1 1
 5.0–5.9 113 (84.3) 21 (15.7) 1.42 (0.77–2.62) 1.31
(0.69–2.47)
 >6.0 62 (70.5) 26 (29.5) 3.20 (1.74–5.88) .001 3.01
(1.58–5.70)
.003
White Cell Count (×109/L)
 <10 249 (82.2) 54 (17.8) 1 1
 ≥10 126 (86.3) 20 (13.7) 0.73 (0.42–1.28) .27 0.70 (0.39–1.25) .22

Abbreviations: CI, confidence interval; CM, cryptococcal meningitis; CSF, cerebrospinal fluid; OR, odds ratio.

*Adjusted for each variable in the table.

Changes in Visual Acuity Over Time

Paired VA data were available for 336 of 472 (71.2%) patients at baseline and week 4. Of these, 171 (50.9%) had normal vision, 128 (38.1%) had moderate vision, and 37 (11.0%) had severe visual loss at baseline. Death before follow-up was the main reason for missing data at 4 weeks (98 of 136, 72.1%).

Visual acuity remained unchanged over time for 210 (62.5%) patients. No significant differences were observed in rate of clearance of infection, number of LPs performed, total volume of CSF removed, and change in OP over the first 2 weeks of treatment between the group remaining the same, those in whom VA deteriorated (n = 51, 15.2%), and those that improved (n = 75, 22.3%) (P > .1, all comparisons) (Supplementary Table 2).

Of 37 (11%) patients with severe visual loss at baseline, 12 (32.4%) improved to near-normal, 8 (21.6%) improved to moderate, and 17 (46.0%) remained severe. Again, there were no significant differences in the above parameters between patients remaining severely impaired and those improving (Supplementary Table 3), although numbers for comparison were low.

DISCUSSION

This prospective study within a large African trial is the first to demonstrate an independent association of both fungal burden and raised ICP, in addition to age, with visual loss at presentation with HIV-CM. At presentation, 16% of patients had severe visual loss and 4% were blind: in those with repeat measurements at 4 weeks, after fungicidal treatment regimens and aggressive management of raised ICP, 54% of patients with severe baseline visual loss improved to near-normal or moderate vision, whereas 46% remained severely impaired.

In a case series comprising both HIV-infected and uninfected patients (n = 49), the authors proposed dichotomous mechanisms of visual loss, optic neuritis due to fungal infiltration accounting for early rapid visual loss, and optic nerve compression due to raised ICP accounting for a slower onset. Interventions aimed at reducing ICP were the only ones associated with any success [3]. In a study of immunocompetent adults with Cryptococcus gattii meningitis, in which ICP was not consistently measured or managed, 37% of 57 survivors remained blind, compared with 5% in our cohort [6]. The uniformity of our cohort, in terms of use of fungicidal regimens and pressure management, may not have permitted us to show a significant impact of rate of clearance or changes in pressure-related parameters on reversibility of visual loss.

In the most comprehensive mechanistic study of visual loss in HIV-CM [5] researchers observed frequent optic nerve conduction and visual field defects compatible with raised ICP and no evidence of optic neuritis on MRI. The authors present evidence for an optic nerve compartment syndrome, caused by cryptococcal plugging of channels between the intracranial and the peri-optic subarachnoid space, as an additional cause of optic nerve dysfunction in CM [8]. In practice, these mechanisms may well overlap [8]: our prior work [2] and findings from this study suggest a relationship between fungal burden and raised pressure at the highest extremes of each. These 2 factors likely converge in an individual patient, possibly more susceptible due to neuroanatomical variation, rendering them either temporarily or—in the absence of intervention—permanently visually impaired.

CONCLUSIONS

Limitations of our cohort include the lack of visual assessment at baseline or reversibility at 4 weeks in the sickest of patients who subsequently die, possibly underestimating the prevalence of visual loss. We did not capture self-reported visual impairment predating CM onset, which may have impacted on baseline VA, nor were we able to exclude other conditions that can impair vision in this advanced HIV cohort (eg, cytomegalovirus retinitis). Nonetheless, our findings underscore the importance of interventions targeted at both fungal burden and raised ICP in mitigating visual loss, and they underline the need for continued efforts towards earlier diagnosis and treatment of CM, given that approximately half of those with severe impairment failed to improve despite fungicidal regimens and aggressive management of raised CSF pressure.

Supplementary Data

Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author.

ofab066_suppl_Supplementary_Tables

Acknowledgments

We thank the following: all of the patients and their families and the nursing and clinical teams at each trial site; Andrew Nunn, Halima Dawood, Andrew Kitua, and William Powderly for serving on the data and safety monitoring committee; and Graeme Meintjes, Calice Talom, Newton Kumwenda, and Maryline Bonnet for serving on the trial steering committee.

Author contributions. S. F. M. and T. B. conceived of and designed the study. B. R. performed the data analyses, together with S. F. M., with statistical input from D. W. and S. J. C. K., S. F. M., S. Le., R. H., N. K., J. E., C. K., D. C., E. T., S. La., A. K. C., J. J. v. O., Y. M., P. M., D. G. L., O. L., M. C. H., A. L., and T. S. H. led on and conducted the parent clinical trial, enrolling patients, performing visual acuity assessments, and collecting the clinical data. A. M. advised on visual acuity assessments. S. F. M. and T. B. interpreted the data and wrote the paper, with input from all authors.

Financial support. The Advancing Cryptococcal Meningitis Treatment for Africa trial was supported by grants from the Medical Research Council, United Kingdom (Grant Number 100504) and the French Agency for Research on AIDS and Viral Hepatitis (ANRS Grant number 12275).

Potential conflict of interests. T. B. has received speaking fees from Gilead Sciences and Pfizer and research funding from Gilead Sciences unrelated to the submitted work. T. S. H. reports nonfinancial support from Immuno-Mycologics during the conduct of the study, grants and personal fees from Gilead Sciences, personal fees from Viamet, and personal fees from Pfizer outside the submitted work. O. L. reports grants and personal fees from Gilead Sciences, personal fees from Merck, personal fees from Astellas, personal fees from Pfizer, and personal fees from Novartis outside the submitted work. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

References

  • 1. Rajasingham R, Smith RM, Park BJ, et al. Global burden of disease of HIV-associated cryptococcal meningitis: an updated analysis. Lancet Infect Dis 2017; 17:873–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Bicanic T, Brouwer AE, Meintjes G, et al. Relationship of cerebrospinal fluid pressure, fungal burden and outcome in patients with cryptococcal meningitis undergoing serial lumbar punctures. AIDS 2009; 23:701–6. [DOI] [PubMed] [Google Scholar]
  • 3. Rex JH, Larsen RA, Dismukes WE, et al. Catastrophic visual loss due to Cryptococcus neoformans meningitis. Medicine (Baltimore) 1993; 72:207–24. [DOI] [PubMed] [Google Scholar]
  • 4. Loyse A, Moodley A, Rich P, et al. Neurological, visual, and MRI brain scan findings in 87 South African patients with HIV-associated cryptococcal meningoencephalitis. J Infect 2015; 70:668–75. [DOI] [PubMed] [Google Scholar]
  • 5. Moodley A, Rae W, Bhigjee A, et al. Early clinical and subclinical visual evoked potential and Humphrey’s visual field defects in cryptococcal meningitis. PLoS One 2012; 7:e52895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Seaton RA, Verma N, Naraqi S, et al. Visual loss in immunocompetent patients with Cryptococcus neoformans var. gattii meningitis. Trans R Soc Trop Med Hyg 1997; 91:44–9. [DOI] [PubMed] [Google Scholar]
  • 7. Jarvis JN, Bicanic T, Loyse A, et al. Determinants of mortality in a combined cohort of 501 patients with HIV-associated cryptococcal meningitis: implications for improving outcomes. Clin Infect Dis 2014; 58:736–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Moodley A, Rae W, Bhigjee A. Visual loss in HIV-associated cryptococcal meningitis: a case series and review of the mechanisms involved. South Afr J HIV Med 2015; 16:305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Molloy SF, Kanyama C, Heyderman RS, et al. ; ACTA Trial Study Team. Antifungal combinations for treatment of cryptococcal meningitis in Africa. N Engl J Med 2018; 378:1004–17. [DOI] [PubMed] [Google Scholar]
  • 10. Perfect JR, Dismukes WE, Dromer F, et al. Clinical Practice Guidelines for the Management of Cryptococcal Disease: 2010 update by the Infectious Disease Society of America. Clin Infect Dis 2010; 50:291–322. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ofab066_suppl_Supplementary_Tables

Articles from Open Forum Infectious Diseases are provided here courtesy of Oxford University Press

RESOURCES