Charles Feldman. Charlotte Maxeke Johannesburg Academic Hospital University of the Witwatersrand

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Opportunistic Infections Community Acquired Pneumonia Charles Feldman Professor of Pulmonology and Chief Physician Charlotte Maxeke Johannesburg Academic Hospital University of the Witwatersrand

Introduction to the Talk Aetiology of community-acquired pneumonia Smoking as a major risk factor Clinical features of CAP and mortality Evolution and interpretation of the CD4 cell count Impact of CAP on long-term prognosis Prevention of infection - vaccination

The World-wide HIV Prevalence www.worldmapper.org

Spectrum of HIV-associated Pulmonary Disease Opportunistic Infections Bacteria Streptococcus pneumoniae Haemophilus species Pseudomonas aeruginosa Other bacteria Mycobacteria Mycobacterium tuberculosis Mycobacterium avium complex Mycobacterium kansasii Other mycobacteria Fungi Pneumocystic jirovecii Cryptococcus neoformans Histoplasma capsulatum Coccidiodes immitis Penicillium marneffei Aspergillus species (most often A. fumigatus) Other fungi Viruses Cytomegalovirus Other virsus Parasites Toxoplasma gondii Other parasites Huang L et al. Respirology 2009; 14: 474-485

Aetiology of CAP in Selected Studies of >100 Immunocompetent Hospitalised Patients with CAP 180 206 4 14 20 56 97 63 75 S. pneumoniae M. pneumoniae C. pneumoniae H. infleunzae L. pneumophila Viruses Gram -ve Other Unknown Nyamande K. PhD Thesis UKZN 2007

South African Study of Aetiology of CAP CAP inclusion criteria met Yes (n = 430) Sputum expectorated or induced (n = 430) Serology (n = 282) Blood cultures (n = 181) Urine antigen tests (n = 117) Nyamande K et al. Int J Tuberc Lung Dis 2007; 11: 1308-1313

Aetiology of CAP in 430 HIV-infected and HIV-non- infected Subjects Positive Negative 61 12 5 71 18 4 14 4 2 6 8 14 4 4 M. tuberculosis H. influenzae S. pneumoniae Other S aureus P. aeruginosa Other gram ve Nyamande K et al. Int J Tuberc Lung Dis 2007; 11: 1308-1313

Aetiology of CAP in 282 Patients who had Serology for Atypical Organisms 58 77 38 11 11 8 8 2 2 4 M. tuberculosis S. pneumoniae M. pneumoniae C. pneumoniae Other Gram -ve S. aureus H. influenzae Other P. aeruginosa L. pneumophila Chicken pox Nyamande K et al. Int J Tuberc Lung Dis 2007; 11: 1308-1313

Mortality in HIV-negative and HIV-positive Patients in Relation to Pathogen TB S. pneumoniae Atypical S. aureus Other HIV + (n = 50) n (%) HIV - (n = 18) n (%) 13 (26) 2 (11) 9 (18) 8 (16) 1 (2) 4 (8) 4 (22) 4 (22) 3 (17) Nyamande K. Int J Tuberc Lung Dis 2007; 11: 1308-1313

Bacterial Pathogens Causing CAP 1 000 CD4 cou unt (cells/mm 2 ) 800 600 400 200 0 Chlamydia pneumoniae Streptococcus pneumoniae Haemophilus influenzae Staphylococcus aureus Etiological agent of pneumonia Boschini et al; CID, 1996 Boschini A et al. Clin Infect Dis 1996; 23: 107-113

Increased Risk of LRTI with Smoking Study of 521 HIV-infected patients admitted to Jackson Memorial Hospital in Miami 65% were current smokers 40% smoking more than one pack per day 46% were on HAART and 42% were receiving PCP and/or NTM prophylaxis 49% admitted for pulmonary infection of which 52% were bacterial pneumonia and 24% PCP Miquez-Burbano MJ et al. Int J Infect Dis 2005; 9: 208-217

Increased Risk of LRTI with Smoking 100 Smokers Proportion of the group 80 60 40 20 Non-smokers 0 PCP <200 CD4 PCP <200-500 CD4 CAP <200 CD4 CAP <200-500 CD4 CAP <500 CD4 Miquez-Burbano MJ et al. Int J Infect Dis 2005; 9: 208-217

Effects of Smoking on HAART Analysis of association of cigarette smoking with effectiveness of HAART in WIHS study of 924 women followed for 7.9 years ( 95 03) Of the cases 56% were current smokers and 16% were former smokers The average amount smoked was 1 pack per day and the median duration was 12 years Feldman J et al. Am J Public Health 2006; 96: 1060-1065

Effects of Smoking on HAART Smokers had Poorer virological response (0.79) Poorer immunological response (0.85) Greater risk of virological rebound (1.39) More frequent immunological failure(1.52) Higher risk of death (1.53) Higher risk of developing AIDS (1.36) Feldman J et al. Am J Public Health 2006; 96: 1060-1065

400.00 360.00 Me ean CD4 count 360.00 340.00 320.00 Nonsmoker (N=400) Smoker (N=524) 300.00 280.00 P=.01-1 0 1 2 3 4 5 6 7 8 9 Number of visits after HAART Initiation Feldman J et al. Am J Public Health 2006; 96: 1060-1065

4.20 4.00 Mea an log of viral load 3.80 3.60 Smoker (N=524) 3.40 Nonsmoker (N=400) 3.20 P=.07-1 0 1 2 3 4 5 6 7 8 9 Number of visits after HAART Initiation Feldman J et al. Am J Public Health 2006; 96: 1060-1065

100 Percentag ge free of an AIDS-defining condition 90 80 70 60 50 Nonsmoker 40 Smoker P=.01 0 1 2 3 4 5 6 7 8 Time from HAART Initiation (years) Feldman J et al. Am J Public Health 2006; 96: 1060-1065

100 90 Nonsmoker Pe ercentage alive 80 70 Smoker 60 50 P=.006 0 1 2 3 4 5 6 7 8 Time from HAART Initiation (years) Feldman J et al. Am J Public Health 2006; 96: 1060-1065

Lymphocyte Subsets During CAP Studies have measured T-lymphocyte subsets during various infections, but only in the acute phase of infection Levels measured in CAP patients within 72 hours of admission Acute phase lymphocyte counts decreased Percentage CD4 cell count remained unchanged Changes not affected by age, HIV status or aetiology In HIV-seronegative cases CD4 cell counts <200/mm 3 were associated with underlying disease, TB, and age > 60 years Fantin B et al. Clin Infect Dis 1996; 22: 1096-1098

Lymphocyte Subsets During CAP Study of 30 ARV naïve HIV-infected patients with pneumococcal CAP Total Lymphocyte and CD4 cell counts were measured upon hospital admission and one month after resolution of CAP CAP diagnosis based on compatible clinical features with new infiltrate on chest X-ray Pneumococcal diagnosis based on blood or sputum culture or positive urine antigen test Schleicher G, et al. Eur J Clin Micro Infect Dis 2004; 10: 574-592

CD4 T-lymphocyte Counts (x 10 6 cells/l) 600 500 400 300 200 100 0 CD4 with pneumonia CD4 one month later Wilcoxon matchdd pairs test (p 0.000009) On admission One month later Min 14.00 7.00 Max 439.00 578.00 25% 54.00 107.00 75% 212.00 419.00 Median 112.00 270.00 Schleicher G, et al. Eur J Clin Micro Infect Dis 2004; 10: 574-592

Total Lymphocyte Counts (x 10 6 cells/l) 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 A B Wilcoxon matchdd pairs test (p 0.000009) On admission One month later Min 0.15 0.82 Max 02.29 3.16 25% 0.60 1.39 75% 1.80 2.24 Median 0.99 1.73 Schleicher G, et al. Eur J Clin Micro Infect Dis 2004; 10: 574-592

Case profiles of CD4 count 600 500 400 300 200 100 0 CD4 with pneumonia CD4 one month later Schleicher G, et al. Eur J Clin Micro Infect Dis 2004; 10: 574-592

Clinical Features and Management of Pneumococcal Pneumonia Clinical features Simple collection for etiologic diagnosis Empiric therapy Prevention HIV-infected patients Often atypical frequently bacteremia in low death risk patients according to PSI. Bilateral inflates common, Sputum Gram stain and culture, blood for culture and urine for pneumococcal UAT in all patients. Combination antibiotic therapy (β-lactam plus a macrolide or a respiratory fluorquinolone alone). Lifestyle modification, HAART, pneumococcal vaccine. HIV noninfected patients Typical in the young and possible atypical in the elderly and in other clinical conditions/ Sputum for Gram stain and culture, blood for culture and urine for pneumococcal UAT depending on severity of pneumonia and patient s risk factors. Monotherapy or combination antibiotic therapy according to outpatient or inpatient management, patient s comorbidities and local prevalence of antibiotic resistance. Lifestyle modification, pneumococcal vaccine. Madeddu G et al. Curr Opin Pulmon Med 2009; 15: 236-242

Mortality of CAP in HIV infected Patients Prospective, international, multicentre, observational study 700 cases with bacteraemic pneumococcal pneumonia Univariate analysis no difference in 14-day mortality in HIV + versus HIV cases Multivariate analysis stratified by age and severity of illness higher mortality in HIV + Mortality higher in the sicker cases and stratified according to the CD4 cell count Feldman C et al. J Infect 2007; 55: 125-135

Management of HIV-infected Patients with Bacterial CAP HIV patient with BCAP CD4 cells < 200 µl CD4 cells 200 µl PSI score IV - V PSI score I - III Inpatient Outpatient Empiric antibiotic treatment with β-lactam plus a macrolide or a respiratory fluoroquinolone alone Madeddu G et al. Curr Opin Pulmon Med 2010; 16: 201-207

CAP and PCP Accelerate Progression of HIV Patients with bacterial pneumonia and PCP had shorter median survival time than controls Associations persisted when controlled for other predictors of survival in multivariate analysis i.e. CD4 count or history of AIDS-defining OI Neither of the associations due to acute mortality? Associated with decreased long-term survival Prevention of infection is important Osmond DH et al. Clin Infect Dis 1999; 29: 536-543

CAP and PCP Accelerate Progression of HIV 1.0 probability Survival 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Controls Bacterial pneumonia PCP 0 365 730 1 095 1 460 1 825 Time (days) Osmond et al; CID, 1999

Permanent Decline in Lung Function - 100 BP BP - 1.0 ml - 200-300 - 400 PCP PCP PCP BP - 2.0-3.0 Hg ml/min/mm - 500 FEV 1 FVC DL CO - 4.0 Morris AM et al. Am J Respir Crit Care Med 2000; 162: 621-616

Prevention of CAP in HIV-infected Persons Lifestyle modification - smoking cessation Anti-pneumocystis prophylaxis HAART Pneumococcal vaccine 23 valent polysaccharide Protein conjugate? Haemophilus cover

IPD According to Prior Vaccination Status (PPV) All patients included Patients with chronic liver disease excluded All patients (n = 162) Vaccinated (n = 23) Unvaccinated (n = 139) P Vaccinated (n = 22) Unvaccinated (n = 22) P Death and/or ICU admission 34/162 (21) 0/23 34/139 (24.5) 0.004 0/22 25/112 (22.3) 0.013 In-hospital mortality 25/162 (15.4) 0/23 25/139 (18) 0.026 0/22 16/112 (14.3) 0.073 ICU admission 21/162 (13) 0/23 21/139 (15.1) 0.046 0/22 19/112 (17) 0.042 Orotracheal intubation 15/162 (9.3) 0/23 15/129 (10.8) 0.132 0/22 13/112 (11.6) 0.126 Shock 17/135 (12.6) 1.21 (4.8) 16/114 (14) 0.471 1/20 (5) 14/96 (14.6) 0.463 Empyema 10/129 (7.8) 0/21 10/108 (9.3) 0.365 0/20 10/95 (10.5) 0.206 PSI high risk classes 43/125 (34.4) 3/18 (16.7) 40/107 (37.4) 0.111 2/17 (11.8) 29/95 (30.5) 0.146 Days of hospital stay (mean SD) 12.62 (13.87) 8.48 (6.14) 13.27 (14.62) 0.011 8.5 (6.29) 14.29 (15.88) 0.007 Days to defervescence (mean SD) 3.11 (4.09) 2.55 (2.72) 3.21 (4.28) 0.484 2.62 (2/76) 3.17 (3.52) 0.497 Imaz A et al. HIV Medicine 2009; 10: 356-363

IPD in Adults 18 64 years of Age with and without HIV Infection or AIDS Annual mean population of individuals aged 18 to 64 years in surveillance area, 1998-2007 n = 10 466843 Population without HIV infection or AIDS n = 10 431385 99.7% of surveillance population Population with HIV infection, not AIDS (estimate not available) Population living with AIDS n = 35 459 (0.3% of surveillance population) IPD in adults with HIV infection, not AIDS n = 1952 IPD in adults with AIDS n = 1313 IPD in adults without HIV infection or AIDS n = 10 576 IPD in adults with HIV infection or AIDS n = 3236 Pneumococcal isolates serotyped n = 9441 (83.3% of IPD cases) Pneumococcal isolates serotyped n = 2930 (95% of IPD cases) Cohen AL, et al. AIDS 2010; 24: 2253-2262

1400 IPD cases with HIV per 100 000 persons with AIDS 1200 1100 800 600 400 200 IPD cases with HIV per 100 000 persons without AIDS 0 16 14 12 10 8 6 4 2 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Calendar year All serotypes Conjugate vaccine serotypes Non-vaccine serotypes Cohen AL, et al. AIDS 2010; 24: 2253-2262

Effect of the 23-valent Pneumococcal Polysaccharide Vaccine: Uganda 1985-19981998 Invasive S. pneumoniae (all) Hazard ratio (95% CI) 1.5 (0.7-3.3) Invasive S. pneumoniae (vaccine) Placebo Vaccine 2.1 (0.9-5.3) All S. pneumoniae 1.5 (0.7-2.9) All-cause pneumonia 2.0 (1.2-3.5)* 0 10 20 30 40 Feikin DR et al. Lancet Infect Dis 2004; 4: 445-455

Study of 7-valent PCV in HIV-infected Adults 1375 patients had an episode of invasive pneumococcal disease 960 had bacteremia 415 had meningitis 496 underwent randomization 879 were excluded 398 died before recruitment 51 declined 83 ineligible 347 not interviewed 248 assigned to receive vaccine 220 HIV+ 28 HIV- 248 assigned to receive placebo 219 HIV+ 29 HIV- 75 died 73 HIV + 2 HIV - 37 lost to follow-up 26 HIV + 11 HIV - 136 survived 121 HIV + 15 HIV - 67died 63 HIV + 4 HIV - 44 lost to follow-up 38 HIV + 6 HIV - 137 survived 118 HIV + 19 HIV - French N et al. New Engl J Med 2010; 362: 812-822

Effectiveness of PCV7 in 437 Patients with HIV infection No. of patients VACCINE No. of events No. of patients PLACEBO No. of events Hazard ratio for First Event (95%) Unadjusted Adjusted Hazard ratio for Recurrent Events (95%) Unadjusted Adjusted PRIMARY ENDPOINT Vaccine serotype or serotype 6A (intention-to-treat analysis) 5 5 19 19 0.26 (0.10-0.70) 0.31 (0.11-0.84) Vaccine serotype or serotype 6A (per-protocol analysis) 4 4 18 18 0.22 (0.08-0.66) 0.25 (0.08-0.78) SECONDARY ENDPOINT Vaccine serogroup 7 7 19 20 Any invasive pneumococcal disease Any type of pneumonia DEATH Any cause 73 63 Definite, probable or association with IPD 22 29 Loss to follow-up 26 38 35 30 38 32 44 41 58 35 0.37 (0.15-0.87) 0.42 (0.18-1.02) 0.72 (0.02-1.25) 0.80 (0.45-1.44) 0.77 (0.47-1.19) 0.71 (0.43-1.17) 1.18 (0.84-1.66) 1.24 (0.88-1.75) 1.02 (0.64-1.63) 1.14 (0.71-1.85) 0.19 (0.06-0.66) 0.30 (0.09-1.02) 0.35 (0.12-1.01) 0.34 (0.11-1.02) 0.54 (0.26-1.17) 0.49 (0.20-1.21) French N et al. New Engl J Med 2010; 362: 812-822

Summary and Conclusions Incidence of pulmonary opportunistic infections has declined with HAART Bacterial pneumonia and influenza infection are commonly seen and vaccination strategies in HIV infected adults needs to be better evaluated Episodes of bacterial pneumonia provide an important opportunity for HIV testing TB/HIV remains frequent and difficult to diagnose and simple clinical algorithms appear to be helpful New TB diagnostic test, such as Xpert MTB/RIF are showing exciting results but even cheaper and simpler tests would be welcome Lifestyle modification is important Adapted from Raju R et al. Curr Opin Pulmon Med 2012; 18: 253-258