A review of the management and outcome of patients admitted with cryptococcal meningitis at a regional hospital in KwaZulu-Natal province A review of the management and outcome of patients admitted with cryptococcal meningitis at a regional hospital in KwaZulu-Natal province Andrew J Rossa* and Egide Ndayishimiyeb aDepartment of Family Medicine, University of KwaZulu-Natal, Durban, South Africa bPrince Mshiyeni Memorial Hospital, Master of Public Health (MPH), University of KwaZulu-Natal, Durban, South Africa *Corresponding author, email: rossa@ukzn.ac.za Background: South Africa has 7.06 million people who are HIV-positive, with those having a low CD4 count being susceptible to cryptococcal meningitis (CCM), which has an estimated mortality of 30–50%. This study aimed to establish the outcome of patients admitted with CCM to a regional hospital in Durban between June 2015 and May 2016, and the extent to which the National Department of Health (NDoH) protocol was adhered to in managing their condition. Method: This retrospective observational descriptive study reviewed the records of patients ≥ 12 years old admitted with CCM between June 2015 and May 2016, from which their demographic and medical data were extracted. Results: Seventy-six complete records were found of which 49 were men and 27 were women. The average CD4 count was 55.9 cells/mm3, 85.5% were treated with intravenous amphotericin B and high-dose oral fluconazole, 6.7% received only amphotericin B and 5.2% received only fluconazole. There was an in-hospital mortality of 31.6%, and the NDoH protocol was adhered to in 72.4% (55/76) of patients. There was, however, no significant difference in outcome between those who were and were not managed as per the protocol (p = 0.177). Discussion and conclusion: In-hospital mortality for CCM continues to be significant despite high rates of adherence to the NDoH protocol in the majority of patients. For this to be addressed, early diagnosis of HIV and initiation of ART to prevent the profound immunosuppression is essential. Keywords: cryptococcal meningitis, HIV, outcome, protocol Introduction By the end of 2016, 36.7 million people were living with HIV/ AIDS worldwide, of whom almost 52% (19 million) resided in sub-Saharan Africa (SSA).1,2 South Africa (SA) has the largest HIV epidemic in the world, with an estimated 7.06 million people who are HIV-positive (+ve)3 and a national HIV preva- lence rate of approximately 12.6%.3 KwaZulu-Natal province, with the country’s second highest population, is the epicentre of the South African HIV epidemic. HIV preventative pro- grammes and the extensive roll-out of antiretroviral therapy (ART) has resulted in a decrease in the rate of new HIV infections in SA, down from 3.4 million in 2001 to 960 000 in 2015,1,2 and a reduction in the number of patients presenting with Kaposi’s sarcoma and other Stage 4 AIDS-defining conditions.4 However, among HIV + ve patients with a low CD4 count, cryp- tococcal meningitis (CCM) continues to have a significant mor- tality, estimated at between 30% and 50% of all patients admitted with CCM.5–7 A number of strategies have been introduced in SA that could have an impact on the mortality associated with CCM. These include the UNAIDS 90–90–90 initiative8 (90% of the population to know their status, 90% of those who are HIV + ve to be on treatment and 90% of those on treatment to be virally sup- pressed by 2020); proactively screening all patients with a CD4 count ≤ 100 cells/mm3 for cryptococcal antigens (CrAg); care- fully assessing those who are CrAg + ve for CCM; and adding high-dose fluconazole to the treatment regimen for patients admitted with CCM. The UNAIDS 90–90–90 strategy promotes proactive HIV testing in facilities, while in communities, community campaigns and public awareness about the importance of testing and knowing one’s status are supplemented by healthcare provider initiated testing.8 It was anticipated that an aggressive proactive strategy to ensure that everyone was aware of their HIV status would lead to a diagnosis prior to the onset of symptoms for many people. This would enable those who were diagnosed with HIV to start treatment at a higher CD4 count, which would make them less susceptible to opportunistic infections (OIs), such as CCM. With the target of 90% of those who are HIV + ve being on antiretroviral treatment (ART), it was antici- pated that their immune status would improve, which would help to prevent OIs such as CCM, and that having 90% virally suppressed would allow for immune recovery and prevention of OIs. The 90–90–90 strategy has shown promising progress in SA, with 86% of the population being aware of their HIV status by mid-2015, and 56% of those who were HIV + ve being on ARTs, of whom 45% were virally suppressed.9 Despite these national figures, a recent study from Prince Mshiyeni Memorial hospital (PMMH) in Durban, KwaZulu-Natal province, reported that between June 2015 and May 2016, 3702 HIV + ve patients (age between 12 and 86 years) with a CD4 count ≤ 100 cells/mm3 (range 1–100 cells/mm3) presented for care at its referral clinics. These figures suggest that there is still a long way to go in Durban in the early identification of patients who are HIV infected.10 In 2015, the National Department of Health (NDoH) introduced a screening programme for all patients with a CD4 ≤ 100 cell/mm3 and updated the national protocol on managing patients admitted with CCM,11 based on WHO recommendations.12,13 The protocol stipulates that all HIV + ve patients with a CD4 ≤ 100 cells/mm3 must be proactively screened for CrAgs, and South African Family Practice 2019; 61(4):159–164 https://doi.org/10.1080/20786190.2019.1607480 Open Access article distributed under the terms of the Creative Commons License [CC BY-NC 4.0] http://creativecommons.org/licenses/by-nc/4.0 S Afr Fam Pract ISSN 2078-6190 EISSN 2078-6204 © 2019 The Author(s) ARTICLE South African Family Practice is co-published by NISC (Pty) Ltd, Medpharm Publications, and Informa UK Limited (trading as the Taylor & Francis Group) http://orcid.org/0000-0003-2287-5724 mailto:rossa@ukzn.ac.za http://crossmark.crossref.org/dialog/?doi=10.1080/20786190.2019.1607480&domain=pdf&date_stamp=2019-08-20 http://creativecommons.org/licenses/by-nc/4.0 those who are Cr Ag + ve must be carefully assessed for signs and symptoms suggestive of CCM. In keeping with the protocol, those with such signs and/or symptoms must have a lumbar puncture (LP) to facilitate early diagnosis and management of CCM, which would hopefully reduce the associated mortality. Those HIV + ve patients with a CD4 ≤ 100 cells/mm3 who are CrAg + ve, but who have no signs or symptoms suggestive of CCM, must be started on oral fluconazole for the primary preven- tion of CCM. Concerning the early detection of CCM by screening HIV + ve patients with CD4 counts ≤100 cells/mm3, the results have been mixed. A 2014 study in Gauteng province reported that 41% (99/244) of patients who were CrAg + ve were sympto- matic, of whom 57% (56) had an LP and 59% (33/56) were diag- nosed with CCM.14 However, a study at PMMH in 2016 reported that only 5.1% (190/3702) of HIV + ve patients seen between June 2015 and May 2016 with a CD4 count ≤ 100 cell/mm3 were CrAg + ve, of whom only 2.6% (5/190) had an LP. The authors reported that none of the patients referred to PMMH from the clinics for suspected CCM were diagnosed with CCM, but that 20% (38/190) of those previously seen at the referral clinics who were CrAg + ve had self-presented to the hospital with CCM.10 The authors concluded that early/subclinical CCM may be difficult to detect in a busy clinical environment, and that there might be a place for doing routine LPs in all patients with a CD4 count ≤ 100 cells/mm3 to detect early onset of CCM.15 The aim of this study was to establish the outcome of patients admitted with CCM to a regional referral hospital in Durban between June 2015 and May 2016, and to establish to what extent the NDoH protocols were adhered to in the man- agement of CCM. Methods Prince Mshiyeni Memorial Hospital (PMMH) is a 1200-bed regional referral hospital situated on the outskirts of Umlazi Township, Durban, and serves a population of approximately two million people with an estimated HIV prevalence of 16.9%.16 This was an observational descriptive study in which medical records of patients admitted to PMMH with CCM were retrospectively reviewed. All the ward admission books from the adult medical wards at PMMH were reviewed by the principal investigator, and the records of all patients (≥ 12 years) admitted for suspected meningitis between June 2015 and May 2016 were retrieved and reviewed in detail. Only the files of those who had an LP-confirmed diag- nosis of CCM based on the CSF results were included in the study. A standardised data collection sheet was used to record the fol- lowing: (A) demographic details; (B) medical details (patient symptoms, CD4 count, previous TB, ARTs duration (if on ARTs), CSF results, complications, outcome (death, discharge) and length of stay (recorded in days); and (C) adherence to the NDoH management protocol (duration and dosages of ampho- tericin B and fluconazole, appropriate monitoring and thera- peutic LPs when necessary). Patients given the correct doses of amphotericin B and fluconazole, and who had monitoring bloods taken on three occasions, were assessed to have been managed according to the NDoH protocol. If the patient died before day 14 but had received the correct doses of amphoter- icin B and high-dose fluconazole, and had been monitored appropriately, they were assessed as having been managed according to the protocol. The data were analysed to establish whether there were any differences between patients who died from CCM and those who were discharged after treatment. The Microsoft Excel software package was used (Microsoft Corp, Redmond, WA, USA) and the data analysed descriptively using the IBM SPSS Statistical Software, version 25 (IBM Corp, Armonk, NY, USA). Fisher’s exact test was used for categorical data and the independent sample t-test for the numerical data, with the level of significance being set at 0.05. Permission to conduct this study was given by the Biomedical Research Ethic Committee (BREC REF No: BE402/16) of University of KwaZulu-Natal (UKZN), the KwaZulu-Natal Department of Health and PMMH management. Results Seventy-six complete records were found of patients admitted and treated at PMMH with CCM between June 2015 and May 2016, of whom 49 (64.5%) were men and 27 (35.5%) were women. The average age of the men was 36 ± 6.9 years and the women was 32 years ± 6.5years, their combined average age being 34.4 (± 6.9 years). Only 64 patients had their CD4 count recorded in their files and/or were traceable on the National Health Laboratory services (NHLS) lab-track, and the average CD4 count was 55.9 cells/mm3 ± 57.4 (range 2– 365 cells/mm3) (Figure 1). Thirty-six (57.8%) of the 64 patients whose CD4 counts were available had a CD4 < 50 cells/mm3; 17 (26.6%) had a CD4 of 50–100 cells/mm3 and 10 (15.6%) had a CD4 > 100cells/mm3 (Figure 2). Although not all patient complaints were documented, head- ache was the commonest symptom (90.8%, 69/76) in those pre- senting with CCM, with other common symptoms including photophobia (52.6%) and confusion (32/75; 42.6%). A large per- centage of patients (60%; 45/75) either had active TB or a history Figure 1: Box diagram of the CD4 count distribution of male and female patients admitted to PMMH with confirmed CCM. Figure 2: CD4 count relative to the number of patients admitted to PMMH with CCM. 160 South African Family Practice 2019; 61(4):159–164 of previous TB. Thirty-eight (50.6%) of the patients were ART naive and nine (12%) had been on ARTs for less than one month (Table 1). The CSF finding of patients admitted with CCM are presented in Table 2, which shows that there was no statistically significant difference in the results between those discharged and those who died in terms of CSF chemistry, CSF globulin or cell count. In addition, there was no statistical difference in mortality when scanty, moderate and numerous yeast cells were seen in the CSF. The majority of patients (65/76, 85.5%) were treated with intra- venous (IV) amphotericin B and high-dose oral fluconazole (Table 3). Five patients (6.7%) received only amphotericin B; four (5.2%) received fluconazole only (two had renal impairment; one died before amphotericin B was given; no reason could be found for the last patient), and two were not treated with anti- fungals (one died before LP results were available; no reasons were given as to why the other patient was not treated with anti- fungal agents). There was a statistically significant difference in the mortality between those who received amphotericin B and fluconazole, amphotericin B only and fluconazole only (p = 0.011). The average dose of amphotericin B was 0.85 mg/kg, which is in keeping with recommendation of 0.7–1.5 mg/kg pro- vided in the NDoH protocol. Similarly, 90.8% (69/76) were started on high-dose fluconazole; two were started on 400 mg, while one was given 200 mg only during the entire stay in the hospital. Fourteen days of amphotericin B was completed in only 51.4% (36/70) of patients, for whom a urea and electrolytes (U&E) sample was taken on average 3.38 times. Of the 65 (85.5%) patients who were treated with amphotericin B and fluconazole combination, 44 had at least one electrolytes complication that needed to be managed in the ward. Overall, there were no stat- istically significant differences in terms of outcome, whether they had one, two or three complications during the treatment (p = 0.264), nor between complications and outcome (p = 0.538). Therapeutic LPs and opening pressure measurements were not common, with the latter never being recorded in the ward, poss- ibly due to a lack of equipment. Notwithstanding the treatment duration, only 19 (25.7%) patients received one therapeutic LP, while four (5.4%) received two. The low number of therapeutic LPs may be due to the large number of patients each clinician is expected to manage. Of the 76 patients admitted, 24 died (32%) and 52 (68%) were discharge after treatment, with those who survived spending an average of 19.5 days in hospital. The NDoH protocol for managing CCM was adhered to in 72.4% (55/76) of patients, with no statistically significant difference in outcome between those patients who were managed as per the protocol and those who were not (p = 0.177). Discussion The profile of patients presenting with CCM were young (average age of 34.4 years) and male (64.5%), which is similar to the 65% male predominance reported by Adeyemi from Northdale Hospital in 2015,17 and highlights the challenge of HIV testing and treating this cohort. In this study, the males were slightly older (mean age = 36 ± 6.9 years) than the females (mean age = 32 ± 6.5 years) (p = 0.046), which is consist- ent with the findings of other studies, suggesting that women are contracting HIV at a younger age.18–20 Research has shown that young women are at a higher risk for HIV acquisition due to a complex combination of biological, behavioural, structural and sociocultural factors.18,21 The age group most affected in this study was 20–48 years, with a mean of 34.4 ± 6.9 years. The males had a slightly lower CD4 (cells/mm3) count (mean = 55.74 ± 64.7) than the females (mean = 56.16 ± 45) (p = 0.978), which is similar to the gender difference reported in a number of other studies.19,20 The very low CD4 count in the majority of patients in this study suggests long-standing HIV infection and profound immunosuppression. There have been numerous HIV campaigns in SA, and it may be that many (young) people have become immune to the HIV prevention messages and are no longer receptive to the ABC (abstain, be faithful and con- domize) approach to HIV prevention. New thinking and strat- egies need to be developed to encourage people to test and treat if we are to achieve the 90–90–90 targets and an AIDS- free generation by 2020.8 Table 1: Profile of patients admitted for CCM at PMMH 2015/2016 Variables Outcome TestDischarged = 52 Died = 24 p Symptoms of meningitis Headache (n = 69) 48 21 0.377 Fisher’s exact test Photophobia (n = 40) 27 13 0.613 Fisher’s exact test Confusion (n = 32) 15 9 0.597 Fisher’s exact test Respiratory symptoms (n = 31) 20 11 0.619 Fisher’s exact test Previous TB Previous TB (any) n = 45 32 13 0.614 Fisher’s exact test ARTs status n = 73* On ARTs n = 32 24 8 0.321 Fisher’s exact test Not on ARTs n = 41 26 15 0.321 Fisher’s exact test ART naive n = 38 25 13 0.376 Fisher’s exact test Defaulter n = 3 1 2 0.376 Fisher’s exact test ARTs < 4 weeks 6 3 0.376 Fisher’s exact test ARTs 5–12 weeks 3 2 0.376 Fisher’s exact test ARTs > 12 weeks 15 3 0.376 Fisher’s exact test CD4 count (mean) (64) 63 ± 64 40.4 ± 36.5 0.078 t-test * Some data missing Review of the management and outcome of patients admitted with cryptococcal meningitis 161 In this study, 45 of the 76 (59.2%) patients who were admitted and 13 of the 24 (54.2%) who later died had either a previous history of previous tuberculosis (TB) or were on TB treatment at the time of admission. The literature suggests a link between TB, pulmonary fungal survival and the development of CCM in HIV-infected patients.29,30 There is a particularly strong epidemiological link between TB and HIV infection,22,23 with HIV infection known to be an important risk factor for reac- tivation of latent Mycobacterium TB infection, its rapid pro- gression and re-infection.24 Likewise, TB has been shown to be the commonest cause of morbidity and mortality in HIV-infected persons.25–27 The synergic interaction that exists between TB and HIV requires both diseases to be understood within the same epidemiological boundary, as their management is closely linked, and the outcomes depend on pre-emptive suspi- cion, diagnosis and management of the other. Similarly, in order to understand the role of the lung in cryptococcal infection, the primary pulmonary infection by C. neoformans is suspected to be the basis of fungal survival, latency and systemic dissemination to the central nervous system.28 In addition, it is thought that TB contributes in some way to disseminating the cryptococcal fungi;29 however, the link between CCM and TB infection needs further study. While some studies have linked acute mortality in CCM to con- fusion at presentation and a low CSF white cell count, 30–32 this study showed no significant statistically difference in mor- tality with regard to confusion (p = 0.597) and a CSF white cell count (p = 0.353). This lack of relationship between acute mor- tality and low bodyweight and CSF white cell count is consistent with other studies that have shown no link between these factors.33,34 It has been reported that cryptococcal fungi, ident- ified by Indian ink staining at diagnosis, is directly linked to high mortality in HIV-positive patients.35 However, due to the small sample in this study, mortality was not strongly related to a positive Indian ink result (p = 0.223). In SA, CCM in HIV-infected patients is managed according to the 2011 WHO guidelines,12 which were adopted and included in the South African HIV protocol for managing CCM in 2015.13,36 Of the 65 (63%) patients who were treated with amphotericin B and fluconazole, as per the NDoH protocol,36 44 developed electrolyte abnormalities that needed to be managed in the ward. These finding are higher than a phase II randomised trial conducted in Thailand and the USA between 2005 and 2007, in which only 30% of patients on a combination of amphotericin B and fluconazole developed toxicity leading to hypomagnese- mia, hypokalaemia, anaemia, decreased renal function or psy- chosis.37 Although there was no association between developing complications and mortality, the findings of this Table 2: CSF variables for patients admitted for CCM at PMMH 2015/2016 Variables Outcome TestDischarged = 52 Died = 24 p CSF chemistry: Chloride (mean) (n = 75) 124 ± 6 126 ± 6 0.179 t-test Glucose (mean) (n = 75) 1.9 ± 0.9 2 ± 0.8 0.615 Protein (mean) (n = 74) 1.4 ± 1.3 0.9 ± 0.8 0.067 Increased CSF globulins (n = 73): Not increased = 25 14 11 0.577 Fisher’s exact test Increased+ n = 29 21 8 0.577 Fisher’s exact test Increased++ n = 4 3 1 0.577 Fisher’s exact test Increased+++ 11 4 0.577 Fisher’s exact test Lymphocytes (mean) (n = 76) 46 ± 88 29 ± 66 0.353 t-test Polymorphs (mean) (n = 76) 9.2 ± 24 11 ± 41 0.822 t-test CSF CLAT + ve (n = 75)** 51 24 Indian ink staining (n = 64): No yeast cells n = 16 13 3 0.223 Fisher’s exact test Yeasts cells observed n = 48 29 19 0.223 Fisher’s exact test Gram stain (n = 75): No yeast seen (n = 20) 14 6 0.31 Fisher’s exact test Yeast scanty + (n = 28) 22 6 0.31 Fisher’s exact test Yeasts moderate ++ (n = 22) 12 10 0.31 Fisher’s exact test Yeasts numerous +++ (n = 5) 3 2 0.31 Fisher’s exact test Culture results – CCM confirmed: No growth (n = 13) 8 5 0.514 Fisher’s exact test Crypto species (n = 60) 43 17 0.514 Fisher’s exact test ** One patient was CSF CLAT negative but CSF culture positive for Cryptococcus. Table 3: Treatment given and outcome of patients admitted with cryptococcal meningitis Treatment options Discharged, no. (%) Died, no. (%) Total Amphotericin B & fluconazole 47 (72.3%) 18 (27.3%) 65 (85.5%) Amphotericin B alone 4 (80%) 1 (20%) 5 (6.6%) High-dose fluconazole alone 4 (100%) 0 4 (5.3%) Not treated - 2 2 (2.6%) Total 55 21 76 162 South African Family Practice 2019; 61(4):159–164 study highlight the need for careful monitoring of all patients treated for CCM to detect and manage problems associated with treatment. In-hospital mortality from CCM was 31.6%, despite the use of IV amphotericin B and high-dose fluconazole in the majority of those who died. Although there was no statistical association between following the protocol and discharge (p = 0.177), in slightly over one-quarter of patients the NDoH protocol for managing CCM was not followed, highlighting the importance of audits and ongoing training in the management of patients with CCM. Despite the high adherence to the NDoH protocol in the majority of patients, it would appear that the in-hospital management mortality for CCM can only be addressed by earlier diagnosis of HIV and initiation of ARTs to prevent the pro- found immunosuppression that is associated with CCM. Limitations The small sample size may have affected the study results, which must therefore be treated with caution. Conclusions and recommendations Although there is room to improve the in-hospital management of CCM, its associated high mortality is unlikely to change sub- stantially without new thinking about testing and treating HIV- infected individuals. In addition, based on the findings of Ndayishimiye,10 a more proactive approach to patients who are CrAg + ve should be considered, which could include an LP on all HIV + ve patients with low CD4 counts who were CrAg + ve. 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Received: 06-02-2019 Accepted: 11-04-2019 164 South African Family Practice 2019; 61(4):159–164 Abstract Introduction Methods Results Discussion Limitations Conclusions and recommendations Disclosure statement ORCID References << /ASCII85EncodePages false /AllowTransparency false /AutoPositionEPSFiles false /AutoRotatePages /PageByPage /Binding /Left /CalGrayProfile () /CalRGBProfile (Adobe RGB \0501998\051) /CalCMYKProfile (U.S. Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel 1.3 /CompressObjects /Off /CompressPages true /ConvertImagesToIndexed true /PassThroughJPEGImages false /CreateJobTicket false /DefaultRenderingIntent /Default /DetectBlends true /DetectCurves 0.1000 /ColorConversionStrategy /sRGB /DoThumbnails true /EmbedAllFonts true /EmbedOpenType false /ParseICCProfilesInComments true /EmbedJobOptions true /DSCReportingLevel 0 /EmitDSCWarnings false /EndPage -1 /ImageMemory 524288 /LockDistillerParams true /MaxSubsetPct 100 /Optimize true /OPM 1 /ParseDSCComments false /ParseDSCCommentsForDocInfo true /PreserveCopyPage true /PreserveDICMYKValues true /PreserveEPSInfo false /PreserveFlatness true /PreserveHalftoneInfo false /PreserveOPIComments false /PreserveOverprintSettings false /StartPage 1 /SubsetFonts true /TransferFunctionInfo /Remove /UCRandBGInfo /Remove /UsePrologue false /ColorSettingsFile () /AlwaysEmbed [ true ] /NeverEmbed [ true ] /AntiAliasColorImages false /CropColorImages true /ColorImageMinResolution 150 /ColorImageMinResolutionPolicy /OK /DownsampleColorImages true /ColorImageDownsampleType /Bicubic /ColorImageResolution 300 /ColorImageDepth -1 /ColorImageMinDownsampleDepth 1 /ColorImageDownsampleThreshold 1.50000 /EncodeColorImages true /ColorImageFilter /DCTEncode /AutoFilterColorImages false /ColorImageAutoFilterStrategy /JPEG /ColorACSImageDict << /QFactor 0.90 /HSamples [2 1 1 2] /VSamples [2 1 1 2] >> /ColorImageDict << /QFactor 0.40 /HSamples [1 1 1 1] /VSamples [1 1 1 1] >> /JPEG2000ColorACSImageDict << /TileWidth 256 /TileHeight 256 /Quality 15 >> /JPEG2000ColorImageDict << /TileWidth 256 /TileHeight 256 /Quality 15 >> /AntiAliasGrayImages false /CropGrayImages true /GrayImageMinResolution 150 /GrayImageMinResolutionPolicy /OK /DownsampleGrayImages true /GrayImageDownsampleType /Bicubic /GrayImageResolution 300 /GrayImageDepth -1 /GrayImageMinDownsampleDepth 2 /GrayImageDownsampleThreshold 1.50000 /EncodeGrayImages true /GrayImageFilter /DCTEncode /AutoFilterGrayImages false /GrayImageAutoFilterStrategy /JPEG /GrayACSImageDict << /QFactor 0.90 /HSamples [2 1 1 2] /VSamples [2 1 1 2] >> /GrayImageDict << /QFactor 0.40 /HSamples [1 1 1 1] /VSamples [1 1 1 1] >> /JPEG2000GrayACSImageDict << /TileWidth 256 /TileHeight 256 /Quality 15 >> /JPEG2000GrayImageDict << /TileWidth 256 /TileHeight 256 /Quality 15 >> /AntiAliasMonoImages false /CropMonoImages true /MonoImageMinResolution 1200 /MonoImageMinResolutionPolicy /OK /DownsampleMonoImages true /MonoImageDownsampleType /Average /MonoImageResolution 300 /MonoImageDepth -1 /MonoImageDownsampleThreshold 1.50000 /EncodeMonoImages true /MonoImageFilter /CCITTFaxEncode /MonoImageDict << /K -1 >> /AllowPSXObjects true /CheckCompliance [ /None ] /PDFX1aCheck false /PDFX3Check false /PDFXCompliantPDFOnly false /PDFXNoTrimBoxError true /PDFXTrimBoxToMediaBoxOffset [ 0.00000 0.00000 0.00000 0.00000 ] /PDFXSetBleedBoxToMediaBox true /PDFXBleedBoxToTrimBoxOffset [ 0.00000 0.00000 0.00000 0.00000 ] /PDFXOutputIntentProfile (None) /PDFXOutputConditionIdentifier () /PDFXOutputCondition () /PDFXRegistryName () /PDFXTrapped /False /Description << /ENU () >> >> setdistillerparams << /HWResolution [600 600] /PageSize [595.245 841.846] >> setpagedevice