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Etiology of meningitis among adults in three quaternary hospitals in Mozambique, 2016–2017: The role of HIV

  • Aquino Albino Nhantumbo ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    aquinoalbinonhantumbo@yahoo.com.br

    Affiliation Laboratório de Bacteriologia e Patógenos de Alto Risco, Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique

  • Charlotte Elizabeth Comé,

    Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Writing – review & editing

    Affiliation Laboratório de Bacteriologia e Patógenos de Alto Risco, Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique

  • Plácida Iliany Maholela,

    Roles Conceptualization, Data curation, Methodology, Writing – review & editing

    Affiliation Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique

  • Alcides Moniz Munguambe,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Laboratório de Bacteriologia e Patógenos de Alto Risco, Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique

  • Paulino da Costa,

    Roles Data curation, Formal analysis, Methodology, Writing – review & editing

    Affiliation Unidade de Gestão de Dados, Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique

  • Mariana Mott,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

    Affiliation Universidade Federal de Ciências de Saúde de Porto Algre (UFCSPA), Porto Alegre, Brazil

  • Gabriella Rosa Cunha,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

    Affiliation Universidade Federal de Ciências de Saúde de Porto Algre (UFCSPA), Porto Alegre, Brazil

  • Lúcia Chambal,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

    Affiliation Departamento de Medicina at the Hospital Central de Maputo, Ministério da Saúde, Maputo, Mozambique

  • Cícero Dias,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliation Universidade Federal de Ciências de Saúde de Porto Algre (UFCSPA), Porto Alegre, Brazil

  • Vlademir Vicente Cantarelli,

    Roles Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – review & editing

    Affiliations Universidade Federal de Ciências de Saúde de Porto Algre (UFCSPA), Porto Alegre, Brazil, Universidade Feevale, Novo Hamburgo, RS, Brazil

  • Eduardo Samo Gudo

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Writing – review & editing

    Affiliation Instituto Nacional de Saúde, Ministério da Saúde, Maputo, Mozambique

Abstract

Background

Meningitis remains an important cause of morbi-mortality in adults in sub-Saharan Africa. Data on the etiological investigation of meningitis in adults in Mozambique is limited and most studies were conducted in southern Mozambique. Identification of the etiology of meningitis in adults are crucial to guide prevention and treatments strategies. In this study, we determine the burden of fungal and bacterial meningitis among adults at the three largest hospitals in Mozambique.

Method

We performed analysis of data from the routine sentinel surveillance system for meningitis in Mozambique from January 2016 to December 2017. Cerebrospinal fluid (CSF) samples were collected from eligible adults (≥18 years old) who met World Health Organization (WHO) case definition criteria for Meningitis. All samples were tested by cryptococcal antigen (CrAg) lateral flow assay (LFA), culture and triplex real-time polymerase chain reaction (qPCR) assay and all patients were tested for human immunodeficiency virus (HIV) using the national algorithm for HIV testing.

Results

Retrospective analysis of 1501 CSF samples from adults clinically suspected of meningitis revealed that 10.5% (158/1501) were positive for bacterial and fungal meningitis. Of these 158 confirmed cases, the proportion of Cryptococcal meningitis and pneumococcal meningitis was38.6% (95% CI: 31.0% to 46.7%) and 36.7% (95% CI: 29.2% to 44.7%), respectively. The other bacterial agents of meningitis identified include Neisseria meningitidis (8.9%; 14/158), Escherichia coli (6.3%; 10/158), Haemophilus influenzae (5.1%; 8/158) and S. aureus (4.4%; 7/158), which represent (24.7%; 39/158) of the total confirmed cases.

Conclusion

Altogether, our findings show a high burden of Cryptococcal meningitis among adults in Mozambique, especially in people living with HIV, followed by pneumococcal meningitis. Our findings suggest that rollout of CrAg Lateral Flow Assay in the health system in Mozambique for early detection of cryptococcus neoformans is necessary to improve overall patient care.

Background

Meningitis remains among the leading causes of high morbidity and mortality in adults in Sub-Saharan African countries [15]. Even with prompt diagnosis and treatment, about 10% of patients with meningitis are prone to die and about 20% of those who survive may suffer from permanent disabilities [69]. In Africa, meningococcal, H. influenzae and pneumococcal meningitis have been reported as the most common laboratory confirmed cases in adults [3,4,8,9]. In sub-Saharan Africa, the region which is most affected by HIV worldwide, co-occurrence with meningitis is common [1,5,10]. The HIV infection has contributed to modifications in the aetiological profile of adulthood meningitis in African countries, including Mozambique [1,10,11], where Cryptococcus neoformans and Mycobacterium tuberculosis have become common causes of meningitis in adults living with HIV [1119]. However, despite the improvement in the access to combined antiretroviral therapy (ART), mortality due to meningitis remains high [1119]. The sub-optimal ART coverage and retention on ART in the African continent [20] are major causes of the high burden of meningitis in adults.

The worldwide mortality rate due to cryptococcal meningitis has been estimated at 181.100, of which, 75% (135 900/181.100) occur in sub-Saharan Africa [19]. Tuberculous meningitis (TBM) is considered to be the second leading cause of death by meningitis among adults in sub-Saharan Africa and more than 50% of these deaths occur in HIV-infected patients [19].

Bacterial meningitis can be prevented with the use of vaccines [2124] and severe cryptococcal or TB meningitis can be avoided by a combination of either cryptococcal or TB screening and pre-emptive antifungal or TB therapy among HIV-infected adults [12]. In Mozambique, Hib and 10-valent pneumococcal conjugate vaccines (PCV) were introduced into the Expanded Program on Immunization (EPI) in 2009 and 2013, respectively [12]. Data from the EPI program, shows coverage for PCV10 and Hib vaccines of 97% and 90%, respectively.

Prompt diagnosis and effective laboratory confirmation of the aetiologic agent of meningitis is critical for initiation of proper treatment. However, this is often challenging, especially in limited-resource settings [16,25]. As such, Mozambique is expanding molecular and rapid diagnostic testing for early laboratory detection of the aetiologic agents of meningitis in the interest of a rapid initiation of appropriate treatment plans.

According to national protocols, on patients with suspected bacterial meningitis, broad-spectrum antibiotics are used to cover its main etiology, including intravenous (IV) cefotaxime 2g, every six hours or ceftriaxone 2g twice a day for 5 to 14 days, depending on their availability. In case of cephalosporin-resistant strains, treatment regimens consist of the use of the aforementioned cephalosporins combined with vancomycin 15–20 mg/Kg IV and 600 mg of rifampicin IV/orally 12 hourly, both for 7 to 14 days, twice a day. Current protocols for treatment of cryptococcal meningitis among patients living with HIV include the use of Amphotericin B and oral Flucytosine for seven days, followed by another week of administration of either orally or intravenous infusion Fluconazole [11,12].

Understanding the burden of meningitis in adults is critical for the definition of public health interventions in the interest of prevention, early diagnostic strategies, and proper treatment of meningitis [21]. This study was conducted with the aim of determining the burden of laboratory-confirmed fungal and bacterial meningitis among adults in 3 quaternary hospitals in Mozambique.

Methods

Study design, study setting and data collection

A retrospective cross-sectional study was conducted using data from the routine sentinel surveillance system for meningitis in Mozambique from January 2016 to December 2017. Sentinel surveillance system for meningitis in Mozambique has been established in three sentinel sites which are regional hospitals, namely Maputo Central Hospital (HCM) in Maputo Province, Beira Central Hospital (HCB) in Sofala Province and Nampula Central Hospital (HCN) in Nampula Province, located in the southern, central, and northern regions of the country, respectively as previously described by Nhantumbo et al., (2015) [26]. Also, according to this author, these three health facilities are quaternary reference hospitals for their region and offer several specialised services for all age groups [26].

[15]. According to data from the General Census of Population and Housing in Mozambique, the population of Maputo, Sofala and Nampula provinces are 2.507.098, 2.221.803 and 6.102.867 million, respectively [27] with an HIV prevalence of approximately 8.2%, 7.0% and 4.1% in 2015, respectively [28]. In Mozambique, healthcare is free of charge in the public sector and 70,9% of the national population is estimated to have access to a public healthcare.

All hospitalized adults (≥18 years old) at each of these three sentinel sites who met World Health Organization (WHO) case definition for Meningitis were consecutively enrolled in this study.

Ethics approval and consent to participate

The study was approved by the Mozambican National Bioethics Committee (Ref #: 180/CNBS/20/IRB00002657). As per requirements of our routine sentinel surveillance for meningitis in Mozambique, written informed consent was applied to all participants over 18 years [26].

Case definition

In Mozambique, case definition meningitis follows WHO guidelines [18]. Upon admission, patients with suspected meningitis are submitted to lumbar puncture and the standardized case report form (CRF) is completed [26].

Confirmed cases of meningitis is defined as the presence of bacterial or fungal pathogen identified either by culture, antigen detection, immunochromatography test or multiplex qPCR in the cerebrospinal fluid (CSF) [26,29].

Sample and data collection

Basic demographic data such as age, gender, occupation and others were recorded using a standard case investigation form previously described by Nhantumbo et al., (2015) [26]. Nonetheless, an evaluation of the overall clinical presentation, as well as the HIV serological status and CD4 cell count was also taken into considerationSamples were collected at each sentinel site and were then sent to their respective microbiology laboratory for microbiological culture and antimicrobial susceptibility test (AST) as previously described by Nhantumbo et al., (2015) [26].

Laboratory testing

Acute bacterial meningitis and Cryptococcal meningitis diagnostic.

All CSF samples were first processed at the clinical laboratories from each sentinel site using Gram stain, India-ink test or CSF CrAg lateral flow assay (LFA) and culture as routine diagnostic tests [16,26]. Confirmatory testing was performed at the Reference Bacteriology and High-Risk Pathogens Laboratory at the National Institute of Health (NIH) in Mozambique, using culture and PCR methods. Cryptococcal meningitis was confirmed at the reference laboratory by culture and CrAg lateral flow assay andall positive samples for S. pneumoniae, H. influenzae and N. meningitidis were confirmed by qPCR while Escherichia coli and Staphylococcus aureus were confirmed by culture and latex agglutination antigen test.

Human immunodeficiency viruses testing.

All patients were tested for HIV using the national algorithm for HIV testing. As per this algorithm, Determine HIV1/2 was used for initial screening of antibodies against HIV and Uni-gold HIV was used for confirmation of positive test result. The immunophenotyping of T lymphocytes was performed by flow cytometry using the FACSCalibur flow cytometer (Becton Dickinson, USA) and absolute values of total TCD4 lymphocytes were determined by the TRUcount method (Becton Dickinson, EUA).

Molecular detection of S. pneumoniae, H. influenzae and N. meningitides.

Triplex qPCR assay was performed using a set of specific primers and probes targeting the three pathogens in a single multiplex reaction and FAM, Cy5, and HEX fluorophores for Cu-Zn superoxide dismutase gene (sodC) for N. meningitidis, autolysin gene (lytA) for S. pneumoniae and the protein D encoding gene (hpd) for H. influenzae, respectively [30]. Standard strains used as positive controls for specie identification were: S. pneumoniae ATCC 49619, H. influenzae ATCC 49247 and N. meningitidis ATCC13077. A no template negative controls (NTCs) was used in each reaction. All samples with cycle threshold (ct) value ≤ 35 were considered positive [30].

Statistical analysis

Data entry was performed using Epi Info version 3.5.4 (CDC U.S.A.) and all analyses were conducted using R statistical software version 4.1.1 (Vienna, Austria). Results were reported as proportions and statistical significance differences were assessed using Fisher’s exact test and Pearson’s Chi-square. All variables with p value less than 0.05 were considered statistically significant.

Results

General characteristics of study participants

Between January 2016 and December 2017, a total of 1501 CSF samples were collected among adults clinically suspected of meningitis at three representative sentinel sites in the country. Of these CSF samples, 72.8% (1093/1501) were collected in 2016, while 27.2% (408/1501) in 2017. The median age of study participants was 36 years old (IQR 30–48 years) and 49.0% (736/1501) of them were male. More than half of the participants were from Maputo Central Hospital (69.2%, 1039/1501), while adults from Nampula Central Hospital and Beira Central Hospital comprised 12.7% (198/1501) and 18.1% (72/1501), respectively.

Etiology of acute bacterial and fungal meningitis in adults in Mozambique between January 2016 and December 2017

During the two-year study period, 10.5% (158/1501) of the collected samples, were positive for bacterial or fungal meningitis, of which the majority, 38.6% (61/158), were identified as Cryptococcus neoformans followed by 36.7% (58/158) that were identified as Streptococcus pneumoniae. Other bacterial meningitis comprised 24.7% (39/158) of the total confirmed cases (see Fig 1), which include Neisseria meningitidis (8.9%; 14/158), Escherichia coli (6.3%; 10/158), Haemophilus influenzae (5.1%; 8/158) and S. aureus (4.4%; 7/158) (see Table 1). A total of 55 out of 61 patients with cryptococcal meningitis were HIV seropositive.

thumbnail
Fig 1. Proportion of confirmed bacterial and fungal meningitis cases in Mozambique in the period between January 2016 and December 2017.

This figure shows the proportion of pathogens causing bacterial and fungal meningitis among adults in Mozambique in the period between January 2016 and December 2017.

https://doi.org/10.1371/journal.pone.0267949.g001

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Table 1. Frequency of the pathogens causing bacterial and fungal meningitis among adults in Mozambique 2016–2017.

https://doi.org/10.1371/journal.pone.0267949.t001

No statistically significant difference was observed in demographic characteristics (age group, gender and geographical location) regarding the aforementioned most frequent causes of meningitis (see Table 2).

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Table 2. Demographic characteristics of patients with laboratory-confirmed fungal and bacterial meningitis in three sentinel sites, Mozambique, 2016–2017 (n = 158).

https://doi.org/10.1371/journal.pone.0267949.t002

Frequency of cryptococcal meningitis was significantly higher among HIV- infected adults as opposed to HIV-uninfected adults (74.3%, 55/74 versus 7.1%, 6/84; p < 0.001). Nevertheless, frequency of pneumococcal meningitis was higher among HIV- uninfected adults as opposed to HIV-infected adults (65.5%, 55/84 versus 4.1%, 3/74; p < 0.001) (see Fig 2).

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Fig 2. Proportion of Cryptococcal and pneumococcal meningitis in among HIV- infected and HIV- uninfected adults.

Each bar represents the relative frequency of the main cause of meningitis among two groups of patients. PM: Pneumococcal meningitis; CM: Cryptococcal meningitis.

https://doi.org/10.1371/journal.pone.0267949.g002

Predicting variables associated with meningitis infection

Table 3 shows the univariate and multivariate logistic regression analysis results. Multivariate logistic regression analysis found that meningitis infection was significantly associated with CD4 count < 100 cells/μL (adjusted Odds Ration (aOR) with 95% CI: 59.0, 18.80–265.27, p = 0.001) (see Table 3).

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Table 3. Univariate and multivariate logistic model for predictors of meningitis among adult patients in Mozambique, 2016–2017.

https://doi.org/10.1371/journal.pone.0267949.t003

There was no significant association with meningitis infection regarding the age group, as well as between meningitis infection and geographical location. Although, the burden of disease in HCM was slightly high (see Table 3).

Discussion

In this study we report, for the first time, the burden of bacterial and fungal meningitis among adults in three most populated provinces of Mozambique. There have been a number of previous studies of bacterial and fungal meningitis in adults in the country, but they were all conducted in a small village in southern part of the country [31,32].

Results of this study show that Cryptococcus neoformans is responsible for 38.6% of all laboratory-confirmed cases, thus making it the leading cause of meningitis among adults. These are similar to previously reported findings from other Sub-Saharan African countries, having found frequencies ranging from 60.5% to 71.6% [1,11,16,3338].

The second most common cause of meningitis found through our study was Streptococcus pneumoniae, which is responsible for 36.7% of the infections in the country. This is also in accordance with results from previous studies conducted in adults in other African studies [3942]. Because Mozambique introduced the pneumococcal conjugate vaccines (PCVs) into the Extended Program on Immunization (EPI) for pneumococcal disease in 2013, it has been deemed important to understand its impact on meningitis in unvaccinated adults. Although, data from other countries in sub-Saharan Africa show a decline on the impact of this disease on children [24,39,43,44], as well as, is on unvaccinated adults including those who are HIV-positive [40,45,46] this is yet to be investigated in Mozambique.

When stratified by HIV serostatus, cryptococcal meningitis was more common among HIV- infected adults when compared to HIV-uninfected adults, as corroborated by similar findings reported in other African countries with high HIV prevalence [1,36,4751]. In sub-Saharan African, several factors may contribute to the high burden of cryptococcal meningitis, which include late HIV diagnosis and ART initiation, poor ART adherence, poor retention in care and late CrAg screening [12,51].

Findings from this study are a strong reminder of the urgent need for implementation of low-cost, point-of-care lateral flow assays (LFAs) CrAg, which are not yet a part of the routine screening among HIV infected patients in Mozambique. In 2014, a pilot implementation was conducted in three out of eleven provinces, namely, Gaza, Sofala and Cabo Delgado, but unfortunately it did not go any further. Current evidence shows that in areas with high HIV prevalence, CrAg screening in HIV infected patients with a CD4 Count ≤ 100 cells/μL is of paramount importance to provide rapid initiation of treatment leading to better patient outcomes [12,45]. World Health Organization (WHO) and the US Centre for Disease Prevention and Control (US-CDC) also recommend screening of Cryptococcus neoformans among HIV infected patients with low CD4 T cell count [21,52].

Despite the high burden of cryptococcal meningitis in sub-Saharan Africa, the access to life saving ART and antifungal medicines to treat cryptococcal meningitis remains limited [49,51,53,54]. For instance, in Mozambique, the coverage of ART in people living with HIV is still below 70% [55], highlighting that a large number of HIV infected patients are still at high risk of poor outcome due to the risk of developing cryptococcal meningitis.

We also investigated predictors for meningitis in adults in Mozambique and found that CD4 cell count < 100 cells/μL had strong association (aOR = 59, p = 0.001) with meningitis, as also reported in other countries [1,11,13,4951,5461].

We would like to acknowledge some limitations of our study, which may influence the interpretation of the results. For instance, our data was collected at three of the largest hospitals in Mozambique, which may raise some concerns regarding representativeness. Secondly, the poor quality of information recorded in the case investigation forms limited our ability to assess the outcomes among HIV- infected adults and HIV-uninfected adults. Finally, Mycobacterium tuberculosis testing was not performed because the approved protocol for the meningitis surveillance system in Mozambique does not include tuberculous meningitis, but our protocol is under revision in order to include these pathogens.

Conclusion

Our study provides, for the first time, evidence on the burden of cryptococcal and bacterial meningitis among adults in three provinces in Mozambique, which found that cryptococcal meningitis is the leading cause of meningitis among adults. Moreover, patients with CD4 count < 100 cells/μL are at highest risk of suffering of meningitis, suggesting that there is an urgent need of rapid rollout of Cryptococcal Antigen (CrAg) Lateral Flow Assay in Mozambique for early detection of Cryptococcus neoformans, in order to improve the outcome of HIV infected patients in Mozambique.

Acknowledgments

We thank Ezequias Sitoe and Marcelino of the bacteriology laboratory of the Hospital Central de Nampula (HCN), Timótio Bejamim of the bacteriology laboratory of the Hospital Central da Beira (HCB), and Célio Conjo and Calvina Langa of the bacteriology laboratory of the Hospital Central de Maputo, for culturing and identifying bacterial isolates. We also thank Dr. Tomás Zimba for collecting samples and completing necessary forms. We extend our thank you to all our colleagues at the Laboratório de Bacteriologia e Patógenos de Alto Risco of the Instituto Nacional de Saúde who received and helped process the samples.

References

  1. 1. Rajasingham R, Smith RM, Park BJ, Jarvis JN, Govender NP, Chiller TM, et al. Global burden of disease of HIV-associated cryptococcal meningitis: an updated analysis. Lancet Infect Dis. 2017; 17 (8):873–81. pmid:28483415.
  2. 2. Brouwer MC, Tunkel AR, van de Beek D. Epidemiology, diagnosis, and antimicrobial treatment of acute bacterial meningitis. Clinical microbiology reviews. 2010; 23(3):467–92. Epub 2010/07/09. pmid:20610819.
  3. 3. Oordt-Speets AM, Bolijn R, van Hoorn RC, Bhavsar A, Kyaw MH (2018) Global etiology of bacterial meningitis: A systematic review and meta-analysis. PLoS ONE 13(6): e0198772. pmid:29889859
  4. 4. Nuoh R.D., Nyarko K.M., Nortey P., Sackey S.O., Lwanga N.C., Ameme D.K., et al. (2016) Review of Meningitis Surveillance Data, Upper West Region, Ghana 2009–2013. Pan African Medical Journal, 25, 9. pmid:28210377
  5. 5. Meiring S, Cohen C, Quan V, et al. HIV infection and the epidemiology of invasive pneumococcal disease (IPD) in South African adults and older children prior to the introduction of a pneumococcal conjugate vaccine (PCV). Plos One. 2016;11:e0149104. pmid:26863135
  6. 6. Cordonnier C, Averbuch D, Maury S, et al. Pneumococcal immunization in immunocompromised hosts: where do we stand? Expert Rev Vaccines. 2014;13:59–74. pmid:24308578
  7. 7. Madhi SA, Nunes MC. The potential impact of pneumococcal conjugate vaccine in Africa: considerations and early lessons learned from the South African experience. Hum Vaccin Immunother. 2016;12:314–325. pmid:26317537
  8. 8. WHO. Defeating Meningitis by 2030: A Global Road Map. Available online: https://www.who.int/docs/defaultsource/immunization/meningitis/defeatingmeningitisroadmap.pdf (accessed on 20 April 2021).
  9. 9. BD 2016 Meningitis Collaborators. Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018 Dec;17(12):1061–1082. Epub 2018 Nov 13. pmid:30507391; PMCID: PMC6234314.
  10. 10. Durski KN, Kuntz KM, Yasukawa K, et al. Cost-effective diagnostic checklists for meningitis in resource-limited settings. J Acquir Immune Defic Syndr 2013; 63:e1018.5. pmid:23466647
  11. 11. Deiss R, Loreti CV, Gutierrez AG, Filipe E, Tatia M, Issufo S, et al. (2021) High burden of cryptococcal antigenemia and meningitis among patients presenting at an emergency department in Maputo, Mozambique. PLoS ONE 16(4): e0250195. pmid:33901215
  12. 12. World Health Organization. Guidelines for the diagnosis, prevention, and management of cryptococcal disease in HIV-infected adults, adolescents and children, March 2018: supplement to the 2016 consolidated guidelines of the use of antiretroviral drugs for treating and preventing HIV infection.
  13. 13. Siedner MJ, Ng CK, Bassett IV, Katz IT, Bangsberg DR, Tsai AC. Trends in CD4 count at presentation to care and treatment initiation in sub-Saharan Africa, 2002–2013: a meta-analysis. Clin Infect Dis. 2015;60(7):1120–7. pmid:25516189
  14. 14. Veltman JA, Bristow CC, Klausner JD. Meningitis in HIV-positive patients in sub-Saharan Africa: a review. J Int AIDS Soc. 2014; 17(1):19184. pmid:25308903
  15. 15. Berhe T, Melkamu Y, Amare A. The pattern and predictors of mortality of HIV/AIDS patients with neurologic manifestation in Ethiopia: a retrospective study. AIDS Res Ther. 2012; 9(1). pmid:22490062
  16. 16. Jarvis JN, Meintjes G, Williams A, Brown Y, Crede T, Harrison TS. Adult meningitis in a setting of high HIV and TB prevalence: findings from 4961 suspected cases. BMC Infect Dis. 2010;10:67. pmid:20230635
  17. 17. Wall EC, Everett DB, Mukaka M, Bar-Zeev N, Feasey N, Jahn A, et al. Bacterial meningitis in Malawian adults, adolescents, and children during the era of antiretroviral scale-up and Haemophilus influenzae type B vaccination, 2000–2012. Clin Infect Dis. 2014;58(10):e137–45. pmid:24496208
  18. 18. Veltman JA, Bristow CC, Klausner JD. Meningitis in HIV-positive patients in sub-Saharan Africa: a review. J Int AIDS Soc. 2014; 17(1):19184. pmid:25308903
  19. 19. Cresswell FV, Bangdiwala AS, Bahr NC et al. Tuberculous meningitis diagnosis and outcomes during the Xpert MTB/Rif era: a 6.5-year cohort study in Uganda [version 2; peer review: 3 approved] Wellcome Open Research 2018, 3:64 https://doi.org/10.12688/wellcomeopenres.14610.2.
  20. 20. UNAIDS (2021) Global AIDS Update–Confronting Inequalities–Lessons for Pandemic Responses From 40 Years of AIDS. Joint United Nations Programme on HIV/AIDS 2021. https://www.unaids.org/en/resources/documents/2021/2021-global-aids-update.
  21. 21. Global, regional and national age-sex specific mortality for 264 causes of death 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1151–210. pmid:28919116
  22. 22. Madhi SA, Nunes MC. The potential impact of pneumococcal conjugate vaccine in Africa: considerations and early lessons learned from the South African experience. Hum Vaccin Immunother 2016; 12:314–25. pmid:26317537
  23. 23. Wall EC, Everett BD, Mukaka M, et al. Bacterial meningitis in Malawian adults, adolescents, and children during the era of antiretroviral scale-up and haemophilus influenzae type B vaccination, 2000–2012. Clin Infect Dis 2014; 58:e137–45. pmid:24496208
  24. 24. Nhantumbo AA, Weldegebriel G, Katsande R, de Gouveia L, Come´ CE, Cuco AZ, et al. (2017) Surveillance of impact of PCV-10 vaccine on pneumococcal meningitis in Mozambique, 2013–2015. PLoS ONE 12(6): e0177746. pmid:28604773
  25. 25. Molloy SF, Kanyama C, Heyderman RS, Loyse A, Kouanfack C, Chanda D, et al. Antifungal combinations for treatment of cryptococcal meningitis in Africa. N Engl J Med. 2018;378(11):1004–17. pmid:29539274
  26. 26. Nhantumbo AA, Cantarelli VV, Caireão J, Munguambe AM, Comé CE, Pinto GdC, et al. (2015) Frequency of Pathogenic Paediatric Bacterial Meningitis in Mozambique: The Critical Role of Multiplex Real-Time Polymerase Chain Reaction to Estimate the Burden of Disease. PLoS ONE 10(9): e0138249. pmid:26393933
  27. 27. INE (2017). IV Recenseamento Geral da População e Habitação em Mocambique.INSTITUTO NACIONAL DE ESTATÍSTICA (http://www.ine.gov.mz/iv-rgph2017/mocambique/apresentacao-resultados-do-censo-2017-1) (acessed in May 2021).
  28. 28. IMASIDA (2015) Mozambique Survey of Indicators on Immunization, Malaria and HIV/AIDS, https://www.dhsprogram.com/pubs/pdf/AIS12/AIS12_SE.pdf (accessed in May 2021).
  29. 29. WHO-AFRO. Standard operating procedures for enhanced meningitis surveillance in Africa. World Health Organization Regional Office for Africa, 2009.
  30. 30. Ouattara M, Whaley MJ, Jenkins LT, et al. Triplex real-time PCR assay for the detection of Streptococcus pneumoniae, Neisseria meningitidis and Haemophilus influenzae directly from clinical specimens without extraction of DNA. Diagn Microbiol Infect Dis 2019; 93:188–90. pmid:30413354
  31. 31. Sacarlal Jahit, and David W Denning. “Estimated Burden of Serious Fungal Infections in Mozambique.” Journal of fungi (Basel, Switzerland) vol. 4,3 75. 23 Jun. 2018, pmid:29937480
  32. 32. Ordi J, Castillo P, Garcia-Basteiro AL, et al. Clinico-pathological discrepancies in the diagnosis of causes of death in adults in Mozambique: A retrospective observational study. PLoS One. 2019;14(9):e0220657. Published 2019 Sep 6. pmid:31490955
  33. 33. Mullan PC, Steenhoff AP, Draper H, Wedin T, Bafana M, Anabwani G, et al. Etiology of meningitis among patients admitted to a tertiary referral hospital in Botswana. Pediatr Infect Dis J. 2011;30(7):620–2. pmid:21326135
  34. 34. Scarborough M, Gordon SB, Whitty CJ, French N, Njalale Y, Chitani A, et al. Corticosteroids for bacterial meningitis in adults in sub-Saharan Africa. N Engl J Med. 2007;357(24):2441–50. pmid:18077809
  35. 35. Wall EC, Everett DB, Mukaka M, Bar-Zeev N, Feasey N, Jahn A, et al. Bacterial meningitis in Malawian adults, adolescents, and children during the era of antiretroviral scale-up and Haemophilus influenzae type b vaccination, 2000–2012. Clin Infect Dis. 2014;58(10):e137–45. pmid:24496208
  36. 36. Jarvis JN, Harrison TS, Lawn SD, Meintjes G, Wood R, Cleary S. Cost effectiveness of cryptococcal antigen screening as a strategy to prevent HIV-associated cryptococcal meningitis in South Africa. PLOS One. 2013; 8:e69288. [PubMed: pmid:23894442].
  37. 37. Siddiqi OK, Atadzhanov M, Birbeck GL, Koralnik IJ. The spectrum of neurological disorders in a Zambian tertiary care hospital. J Neurol Sci. 2010;290(1–2):1–5. pmid:20070986
  38. 38. Hakim JG, Gangaidzo IT, Heyderman RS, Mielke J, Mushangi E, Taziwa A, et al. Impact of HIV infection on meningitis in Harare, Zimbabwe: a prospective study of 406 predominantly adult patients. AIDS. 2000;14(10):1401–7. pmid:10930155
  39. 39. Kambire D, Soeters HM, Oue´draogo Traore´ R, Medah I, Sangare L, Yame ogo I, et al. (2016) Nationwide Trends in Bacterial Meningitis before the Introduction of 13-Valent Pneumococcal Conjugate Vaccine—Burkina Faso, 2011–2013. PLoS ONE 11(11): e0166384. pmid:27832151
  40. 40. Britz E, Perovic O, von Mollendorf C, von Gottberg A, Iyaloo S, Quan V, et al. (2016) The Epidemiology of Meningitis among Adults in a South African Province with a High HIV Prevalence, 2009–2012. PLoS ONE 11(9): e0163036. pmid:27669564
  41. 41. Tigabu A, Jember A, Nega T, et al. Bacterial Meningitis Among Adult Patients at University of Gondar Comprehensive Specialized Referral Hospital. Infect Drug Resist. 2021;14:565–574. Published 2021 Feb 15. pmid:33623397
  42. 42. Mackenzie G.A., Hill P.C., Jeffries D.J., Hossain I., Uchendu U., Ameh D. Effect of the introduction of pneumococcal conjugate vaccination on invasive pneumococcal disease in The Gambia: a population-based surveillance study. Lancet Infect Dis. 2016:703–711. [PMC free article] [PubMed] [Google Scholar]. pmid:26897105
  43. 43. Mackenzie G.A., Hill P.C., Jeffries D.J., Hossain I., Uchendu U., Ameh D. Effect of the introduction of pneumococcal conjugate vaccination on invasive pneumococcal disease in The Gambia: a population-based surveillance study. Lancet Infect Dis. 2016:703–711. [PMC free article] [PubMed] [Google Scholar]. pmid:26897105
  44. 44. von Gottberg A., de Gouveia L., Tempia S., Quan V., Meiring S., von Mollendorf C. Effects of vaccination on invasive pneumococcal disease in South Africa. N Engl J Med. 2014;371 141111140010002. [PubMed] [Google Scholar]. pmid:25386897
  45. 45. Nanoo A, Izu A, Ismail NA, Ihekweazu C, Abubakar I, Mametja D, et al. Nationwide and regional incidence of microbiologically confirmed pulmonary tuberculosis in South Africa, 2004–12: a time series analysis. Lancet Infect Dis. 2015; 15(9):1066–76. pmid:26112077.
  46. 46. von Gottberg A, de Gouveia L, Tempia S, Quan V, Meiring S, von Mollendorf C, et al. Effects of vaccination on invasive pneumococcal disease in South Africa. N Engl J Med. 2014; 371(20):1889–99. pmid:25386897.
  47. 47. Bekondi C, Bernede C, Passone N, Minssart P, Kamalo C, Mbolidi D, et al. Primary and opportunistic pathogens associated with meningitis in adults in Bangui, Central African Republic, in relation to human immunodeficiency virus serostatus. Int J Infect Dis. 2006;10(5):387–95. [PubMed] [Google Scholar]. pmid:16473538
  48. 48. Schutte CM, Van der Meyden CH, Magazi DS. The impact of HIV on meningitis as seen at a South African Academic Hospital (1994 to 1998). Infection. 2000;28(1):37.
  49. 49. Rajasingham R, Rhein J, Klammer K, Musubire A, Nabeta H, Akampurira A, et al. Epidemiology of meningitis in an HIV-infected Ugandan cohort. Am JTrop Med Hyg. 2014:14–0452.
  50. 50. Tenforde M.W., Wake R., Leeme T., Jarvis J.N. HIV-Associated Cryptococcal meningitis: Bridging the gap between developed and resource-limited settings. Curr. Clin. Microbiol Rep. 2016;3:92–102. pmid:27257597
  51. 51. Hakim JG, Gangaidzo IT, Heyderman RS, Mielke J, Mushangi E, Taziwa A, et al. Impact of HIV infection on meningitis in Harare, Zimbabwe: a prospective study of 406 predominantly adult patients. AIDS. 2000;14(10):1401–7. pmid:10930155
  52. 52. Masur H.; Brooks J.T.; Benson C.A.; Holmes K.K.; Pau A.K.; Kaplan J.E.; National Institutes of Health; Centers for Disease Control and Prevention; HIV Medicine Association of the Infectious Diseases Society of Americaet al. Prevention and treatment of opportunistic infections in HIV-infected adults and adolescents: Updated Guidelines from the Centers for Disease Control and Prevention, National Institutes of Health, and HIV Medicine Association of the Infectious Diseases Society of America. Clin. Infect. Dis. 2014, 58, 1308–1311. [PubMed]. pmid:24585567
  53. 53. Johnson LF. Access to antiretroviral treatment in South Africa, 2004–2011. S Afr J HIV Med. 2012; 13 (1).
  54. 54. Oladele R.O.; Akanmu A.S.; Nwosu A.O.; Ogunsola F.T.; Richardson M.D.; Denning D.W. Cryptococcal Antigenemia in Nigerian Patients With Advanced Human Immunodeficiency Virus: Influence of Antiretroviral Therapy Adherence. Open Forum Infect. Dis. 2016, 3, ofw055. [CrossRef] [PubMed]. pmid:27186581
  55. 55. Ministério da Saúde (MISAU). Relatório Anual das Actividades Relacionadas ao HIV/SIDA (2019), 2019. https://www.misau.gov.mz/index.php/relatorios-anuais#.
  56. 56. Meya DB, Manabe YC, Castelnuovo B, Cook BA, Elbireer AM, Kambugu A, et al. Cost-Effectiveness of Serum Cryptococcal Antigen Screening to Prevent Deaths among HIV-Infected Persons with a CD4+ Cell Count <100 Cells/μL Who Start HIV Therapy in Resource-Limited Settings. Clin Infect Dis. 2010; 51(4):448–55. pmid:20597693.
  57. 57. World Health Organization. Rapid Advice: Diagnosis, Prevention and Management of Cryptococcal Disease in HIV-Infected Adults, Adolescents and Children: December 2011. 2011. Available online: http://apps.who.int/iris/handle/10665/44786 (accessed on 20 August 2017).
  58. 58. Pongsai P.; Atamasirikul K.; Sungkanuparph S. The role of serum cryptococcal antigen screening for the early diagnosis of cryptococcosis in HIV-infected patients with different ranges of CD4 cell counts. J. Infect. 2010, 60, 474–477. [CrossRef] [PubMed]. pmid:20347868
  59. 59. Osazuwa O.F.; Dirisu O.; Okuonghae E. Cryptococcal antigenemia in anti-retroviral naïve AIDS patients: Prevalence and its association with CD4 cell count. Acta Med. Iran. 2012, 50, 344–347. [PubMed]. pmid:22837089
  60. 60. Cassim N.; Schnippel K.; Coetzee L.M.; Glencross D.K. Establishing a cost-per-result of laboratorybased, reflex Cryptococcal antigenaemia screening (CrAg) in HIV+ patients with CD4 counts less than 100 cells/μl using a Lateral Flow Assay (LFA) at a typical busy CD4 laboratory in South Africa. PLoS ONE 2017, 12, e0171675. [CrossRef] [PubMed]. pmid:28166254
  61. 61. Ford N, Shubber Z, Jarvis JN, Chiller T, Greene G, Migone C, et al. CD4 cell count threshold for cryptococcal antigen screening of HIV-infected individuals: a systematic review and meta-analysis. Clin Infect Dis. 2018; 66(suppl_2):S152–S9. pmid:29514236.