Volume 20, Number 4—April 2014
Nosocomial Drug-Resistant Bacteremia in 2 Cohorts with Cryptococcal Meningitis, Africa
Highlight and copy the desired format.
|EID||Rajasingham R, Williams D, Meya DB, Meintjes G, Boulware DR, Scriven J, et al. Nosocomial Drug-Resistant Bacteremia in 2 Cohorts with Cryptococcal Meningitis, Africa. Emerg Infect Dis. 2014;20(4):722-724. https://dx.doi.org/10.3201/eid2004.131277|
|AMA||Rajasingham R, Williams D, Meya DB, et al. Nosocomial Drug-Resistant Bacteremia in 2 Cohorts with Cryptococcal Meningitis, Africa. Emerging Infectious Diseases. 2014;20(4):722-724. doi:10.3201/eid2004.131277.|
|APA||Rajasingham, R., Williams, D., Meya, D. B., Meintjes, G., Boulware, D. R., & Scriven, J. (2014). Nosocomial Drug-Resistant Bacteremia in 2 Cohorts with Cryptococcal Meningitis, Africa. Emerging Infectious Diseases, 20(4), 722-724. https://dx.doi.org/10.3201/eid2004.131277.|
To the Editor: Cryptococcal meningitis is the second leading cause of AIDS-related deaths in Africa. The prolonged hospitalization necessary for optimal management may predispose severely immunocompromised persons to hospital-acquired infections. Limited data are available for sub-Saharan Africa regarding multidrug-resistant infections (1,2). We hypothesized that bacteremia was a major cause of death.
We reviewed bacteremia episodes in cryptococcal meningitis cohorts in Kampala, Uganda (n = 115 episodes) and Cape Town, South Africa (n = 72) during November 2010–April 2013. Data were obtained from the prospective cryptococcal optimal antiretroviral therapy timing trial (www.clinicaltrials.gov:NCT01075152), a randomized strategy trial assessing optimal antiretroviral therapy timing (n = 142) and another prospective observational cohort in Cape Town (n = 45).
We enrolled HIV-infected adults who had a first episode of cryptococcal meningitis diagnosed by cerebrospinal fluid culture or cryptococcal antigen testing. Standardized treatment was in accordance with World Health Organization (WHO) guidelines: amphotericin deoxycholate, 0.7–1.0 mg/kg/d for 14 days, and fluconazole, 800 mg/d, requiring a minimum 14-day hospitalization (3). Each person provided written informed consent. Institutional review board approval was obtained.
Blood cultures were obtained in accordance with physician discretion, typically with new onset fever (>38°C) unrelated to amphotericin. Two aerobic blood cultures were obtained from 1 peripheral site and not from central catheters. BACTEC (Becton Dickinson, Franklin Lakes, NJ, USA) or BacT/ALERT (BioMérieux, Durham, NC, USA) bottles were incubated at 37°C in automated instruments for 5 days. Drugs were given empirically at physician discretion and adjusted after culture/susceptibility results were obtained.
Each bacteremic episode was classified as a true pathogen, contaminant, or indeterminate on the basis of clinical scenario and bacterial isolates. Data extraction from case report forms elicited demographics, microbiology results, antimicrobial drug therapy, and clinical outcomes. We determined risk factors between cases and controls who had cryptococcal meningitis without bacteremia/sepsis.
Descriptive statistical analysis reported median and interquartile range (IQR). Risk was expressed as odds ratio with 95% CIs calculated by logistic regression. Significance was defined as p<0.05 by Fischer exact test (SPSS 21; IBM, Armonk, NY, USA). Variables with p<0.10 by univariate analysis were entered in a multivariable model.
We evaluated 187 persons with cryptococcal meningitis who had a median CD4 count of 27 cells/μL (IQR 9–76). Forty-three blood cultures were prepared for 40 patients with febrile episode(s), of which 37 were positive. Median time from admission to suspected bacteremia was 14 days (IQR 9–17 days). All episodes were detected >72 h after admission and classified as nosocomial bacteremia. Seven isolates were considered contaminants because clinical improvement occurred without appropriate therapy. Thus, 30 cultures for 28 persons (cohort incidence 15%) were classified as true bacteremia with compatible clinical syndrome. Twenty-three bacteremic episodes occurred in Kampala (incidence 18%). Seven episodes occurred in 5 patients in Cape Town (incidence 7%).
The most frequent microbiologic etiologies were Klebsiella pneumoniae (9 episodes), Staphylococcus aureus (8), and Pseudomonas spp. (3) (Table). Methicillin-resistant S. aureus constituted 6 of 8 S. aureus isolates.
Ceftriaxone was the most common empiric drug used, for which 23 (77%) of 30 isolates were resistant. Eleven (46%) of 24 isolates were resistant to ciprofloxacin. Among bacteremic patients, 12 (43%) of 28 died within 30 days after hospitalization. The 30-day mortality rate for persons with cryptococcal meningitis but without bacteremia was 30% (47/158); 1 patient was lost to follow-up. Thus, the estimated attributable mortality rate for bacteremia was 13% (odds ratio 1.8, 95% CI 0.78–4.0, p = 0.17) compared with patients without bacteremia during their initial hospitalization.
Case–control comparisons identified no risk factors for bacteremia (Technical Appendix [PDF - 38 KB - 1 page]). Although 21 (70%) of 30 bacteremia episodes were preceded by phlebitis at a peripheral intravenous site, phlebitis caused by amphotericin was also common in patients without bacteremia (49%), but these percentages did not differ statistically.
Accurate data regarding incidence of nosocomial infections in Africa are lacking. A systematic review by WHO in 2011 that assessed published data for 1995–2009 identified only 2 high-quality studies. WHO estimated a prevalence of 2.5%–14.8% for nosocomial infections and a cumulative incidence of up to 45.8% in some areas (4) and recommended surveillance to estimate the rates of nosocomial infection. WHO acknowledges that health care–associated infections are causes of prolonged hospitalizations, increased antimicrobial drug resistance, financial burdens on health care systems, and causes of excess illness and death (5).
Limitations of our study include the retrospective design and inability to identify predictive risk factors for bacteremia. Given the differences in bacteremia incidence between our 2 sites, findings are probably not generalizable to all clinical settings in Africa. However, these findings identify a clinical problem.
The incidence of nosocomial bacteremia was 15% in our hospitalized cryptococcal meningitis cohort at a median time of 14 days after hospitalization. The most frequent etiologies were S. aureus and K. pneumonia. Less than 25% of isolates were sensitive to ceftriaxone, a standard empiric drug used throughout Africa. Further prospective studies are needed to determine the prevalence and risk factors for nosocomial infections and prevalence of multidrug resistance among hospitalized persons in resource-limited areas.
This study was supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health (grants U01AI089244 and K23AI073192). G.M. (grant 098316) and J.S. (grant 081667) were supported by the Wellcome Trust.
- Allegranzi B, Nejad SB, Combescure C, Graafmans W, Attar H, Donaldson L, Burden of endemic health-care–associated infection in developing countries: systematic review and meta-analysis. Lancet. 2011;377:228–41.
- Paterson DL, Ko W-C, Gottberg Von A, Mohapatra S, Casellas JM, Goossens H, International prospective study of Klebsiella pneumoniae bacteremia: implications of extended-spectrum beta-lactamase production in nosocomial infections. Ann Intern Med. 2004;140:26–32 .
- World Health Organization. Rapid advice: diagnosis, prevention and management of cryptococcal disease in HIV-infected adults, adolescents, 2011 [cited 2014 Jan 7]. www.who.int/hiv/pub/cryptococcal_disease2011/en/
- Bagheri Nejad S, Allegranzi BB, Syed SBS, Ellis BB, Pittet DD. Health-care-associated infection in Africa: a systematic review. Bull World Health Organ. 2011;89:757–65.
- World Health Organization. Report on the burden of endemic health care–associated infection worldwide, 2011 [cited 2014 Jan 7]. http://whqlibdoc.who.int/publications/2011/9789241501507_eng.pdf
- Table. Characteristics of 28 patients with cryptococcal meningitis, Uganda and South Africa, November 2010–April 2013
- Technical Appendix. . Demographic data for persons with cryptococcal meningitis by nosocomial bacteremia status, and risk factors for bacteremia in a combined cryptococcal cohort, Cape Town, South Africa, and Kampla, Uganda,... 38 KB
Please use the form below to submit correspondence to the authors or contact them at the following address:
Radha Rajasingham, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis St, Ste GB, Boston, MA 02215, USARadha Rajasingham, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis St, Ste GB, Boston, MA 02215, USA
Comment submitted successfully, thank you for your feedback.
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
- Page created: March 18, 2014
- Page last updated: March 18, 2014
- Page last reviewed: March 18, 2014
- Centers for Disease Control and Prevention,
National Center for Emerging and Zoonotic Infectious Diseases (NCEZID)
Office of the Director (OD)