The use of molecular diagnostic techniques for the evaluation of the impact of pneumococcal conjugate vaccines (PCVs) has not been documented. We aimed to evaluate the impact of PCVs on invasive pneumococcal disease (IPD) using polymerase chain reaction (PCR)-based techniques and compare with results obtained from culture-based methods.
We implemented two independent surveillance programs for IPD among individuals hospitalized at one large surveillance site in Soweto, South Africa during 2009–2012: (i) PCR-based (targeting the
During the study period there were 607
Significant downward trends in IPD PCV-7 serotype-associated rates were observed among patients tested by PCR or culture methods; however trends of non-vaccine serotypes/serogroups differed between the two groups. Misclassifications of serotypes/serogroups, affecting the use of non-vaccine serotypes as a control group, may have occurred due to the low performance of the serotyping assay among
The online version of this article (doi:10.1186/s12879-015-1198-z) contains supplementary material, which is available to authorized users.
Every year pneumococcal disease results in ≈ 600,000 deaths among children <5 years of age globally, with the majority of deaths occurring in Africa [
In 2009, South Africa introduced the 7-valent PCV (PCV-7) into its routine infant immunization program using a schedule of vaccination at 6 and 14 weeks and a booster dose at 9 months [
The determination of pneumococcal serotypes is key to assess the effects of PCVs, including decreases in PCV serotypes and potential non-PCV serotype replacement following the use of the vaccine over time. With PCVs being progressively introduced into the routine infant immunization programs of several low- and middle-income countries [
Culture remains the gold standard for the identification of the organism while the Quellung reaction remains the gold standard for serotype determination from available isolates. Nonetheless, culture, while highly specific, has low sensitivity, requires long incubation periods and is not commonly available in many low-income countries [
Polymerase chain reaction (PCR)-based methods targeting pneumococcal specific genes, such as
We aimed to evaluate the impact of PCVs on IPD using PCR-based methods at one large surveillance site in South Africa from 2009 through 2012, and compare these results with those obtained from culture-based methods.
We conducted active, prospective, syndromic, hospital-based surveillance at Chris Hani-Baragwanath Academic Hospital (CHBAH) from February 2009 through December 2012. This hospital is the only public hospital serving a well-defined community (Soweto, Gauteng Province) of about 1.4 million people in 2012 [
Data on active, laboratory-based IPD surveillance conducted under the GERMS program at CHBAH were included in this study. For the GERMS program, IPD cases were defined as hospitalized persons from whom
The study and laboratory procedures of the SARI and GERMS programs have been previously described [ Enrolment of cases with severe acute respiratory illness (SARI program) and cases of culture-positive invasive pneumococcal disease (GERMS program) hospitalized at Chris Hani-Baragwanath Academic Hospital, Soweto, South Africa, 2009–2012
Written informed consent was obtained from all cases who were 18 years of age and older. Proxy informed consent was obtained from parents or legal guardians of minors.
We implemented a 3-stage analysis whereby stage-1 and −2 analyses were conducted to inform the interpretation of results of the main analysis in stage 3. The analytical approach for each analysis is described in Additional file
In the stage-1 analysis we evaluated the proportion of serotypable samples by
In the stage-2 analysis we evaluated factors associated with increasing Ct-values among
The aim of the study was to assess the feasibility of evaluating the impact of PCVs using PCR-based methods, and therefore, for the main analysis we focused on HIV-uninfected children <2 years of age (Fig.
To assess the trends of BPP over time we calculated the annual rate of
The SARI protocol was approved by the University of the Witwatersrand Human Research Ethics Committee (M081042) and the University of KwaZulu-Natal Biomedical Research Ethics Committee (BF157/08). The GERMS protocol was approved by the research ethics committee of the University of the Witwatersrand (M081117).
From February 2009 through December 2012, 8,050/11,528 (69.8 %) of SARI cases enrolled at CHBAH were tested for whole blood
Of the 613
A culture result was available for 2,950/11,528 (25.6 %) SARI cases, of which 69 (2.3 %) tested positive for
Among the 607/613 (99.0 %) Characteristics of Abbreviations: HIV: human immunodeficiency virus; Ct-value: cycle threshold value; Neg42: samples that tested negative for the 42 serotypes detected by the serotyping assay
a Discrepant or missing serotype/serogroup results are in bolt font
b Isolate not available for serotyping using the Quellung reaction
c Serotype not included in the molecular serotyping assay
d Serotype included in the molecular serotyping assayAge group HIV serostatus
Serotype/serogroup Quellung reaction Molecular serotyping assay
25–44 Pos 25 19 F 19B/19 F 45–64 Pos 26 1 1 <2 Pos 27 10Ac
Neg42 25–44 Pos 27 19 F 19B/F 25–44 Unknown 27 Not availableb
18A/B/C 25–44 Pos 27 19A 19A 25–44 Pos 28 19A 19A 25–44 Pos 28 19 F 19B/F 25–44 Pos 29 19A 19A 25–44 Pos 29 19A 19A 25–44 Pos 30 19A 19A
25–44 Pos 31 3 3 45–64 Unknown 31 19A 19A 25–44 Pos 31 1 1 25–44 Pos 32 12 F 12A/B/F 25–44 Neg 32 19A 19A 45–64 Pos 33 4 4 25–44 Pos 33 Not availableb
19A 25–44 Neg 34 1 1 25–44 Pos 34 Not availableb
1 25–44 Pos 34 1d
Neg42 45–64 Pos 34 19A 19A
5–24 Pos 35 9 V 9A/L/N/V <2 Pos 35 23 F 23 F 5–24 Pos 35 19Ad
Neg42 25–44 Pos 35 1d
Neg42 <2 Neg 36 6A 6A/B <2 Unknown 36 6B 6A/B 5–24 Pos 36 18Cd
Neg42 25–44 Pos 37 19Ad
Neg42 2–4 Neg 37 14d
Neg42 25–44 Pos 37 Not availableb
1 25–44 Pos 38 1d
Neg42 25–44 Pos 38 23Ac
Neg42 2–4 Pos 39 6Ad
Neg42 <2 Neg 39 19Ae
18A/B/Ce
Of the 607 Proportion of serotypable Proportion of serotypablea
Abbreviations: OR: odds ratio; CI: confidence interval
aSerotypable samples were samples tested with the serotyping assay from which a serotype/serogroup included in the assay was detected
Serotypablea
n/N (%) OR (95 % CI)
≤30 54/71 (76.1) Reference - 31 20/23 (86.9) 2.1 (0.6-7.9) 0.275 32 22/28 (78.6) 1.2 (0.4-3.3) 0.790 33 32/36 (88.9) 2.5 (0.8-8.1) 0.123 34 28/42 (66.7) 0.6 (0.3-1.5) 0.281 35 31/57 (54.4) 0.4 (0.2-0.8) 0.011 36 29/72 (40.3) 0.2 (0.1-0.4) <0.001 37 28/93 (30.1) 0.1 (0.07-0.3) <0.001 38 27/134 (20.1) 0.08 (0.04-0.15) <0.001 39 8/51 (15.7) 0.06 (0.02-0.14) <0.001
Among the 607 Factors associated with increasing Abbreviations: OR: odds ratio; aOR: adjusted odds ratio; CI: confidence interval; HIV: human immunideficency virus; PCV-7: 7-valent pneumococcal conjugate vaccine serotypes (included serotypes/serogroups 4, 6A/B, 9A/V/L/N, 14, 18A/B/C, 19B/F, 23 F); PCV-13: additional 13-valent pneumococcal conjugate vaccineserotypes (included serotypes/serogroups 1, 3, 5, 7A/F, 19A); NVT: serotypes/serogroups not included in PCV-7 or PCV-13, including samples that tested negative for the 42 serotypes detected by the serotyping assay
a Underlying medical conditions included: asthma, chronic lung disease, chronic heart disease, liver disease, renal disease, diabetes mellitus, immunocompromizing conditions excluding HIV infection or neurological disease
b The odds ratio of the proportional-odds model measures the effect of a predictor on the odds of being above a specified level, compared with the odds of being at or below the specified levelVariable
Proportional-Odds Model Univariate analysis Multivariable analysis Total ≤30 31-34 ≥35 ORb
aORb
Age (in years)
<2 125 (20.7) 6 (8.5) 11 (8.6) 108 (26.7) Reference - 2–4 24 (4.0) 0 (0.0) 6 (4.7) 18 (4.5) 0.5 (0.2-1.5) 0.227 5–24 44 (7.3) 2 (2.8) 13 (10.2) 29 (7.2) 0.3 (0.2-0.7) 0.008 25–44 268 (44.4) 48 (67.6) 59 (46.1) 161 (39.8) 0.2 (0.1-0.4) <0.001 45–64 135 (22.4) 14 (19.7) 37 (28.9) 84 (20.8) 0.3 (0.1-0.5) <0.001 ≥65 7 (1.2) 1 (1.4) 2 (1.5) 4 (1.0) 0.2 (0.1-1.1) <0.051 Sex
Male 257 (42.6) 27 (38.0) 64 (50.0) 166 (41.1) Reference - Female 346 (57.4) 44 (62.0) 64 (50.0) 238 (58.9) 1.1 0.453 Year
2009 129 (21.3) 8 (11.3) 18 (13.9) 103 (25.3) Reference - 2010 173 (28.5) 34 (47.9) 46 (35.7) 93 (22.8) 0.3 (0.2–0.5) <0.001 2011 150 (24.7) 10 (14.1) 39 (30.2) 101 (24.8) 0.6 (0.3–0.9) 0.033 2012 155 (25.5 19 (26.8) 26 (20.2) 110 (27.0) 0.6 (0.3–1.1) 0.064 Extraction Instrument
Roche MagNA Pure LC 1.0 136 (22.4) 9 (12.7) 19 (14.7) 108 (26.5) Reference - Reference - Roche MagNA Pure LC 2.0 400 (65.9) 54 (76.1) 96 (74.4) 250 (61.4) 0.4 (0.3–0.7) <0.001 0.4 (0.2–0.6) <0.001 Roche MagNA Pure 96 71 (11.7) 8 (11.3) 14 (10.8) 49 (12.0) 0.6 (0.3–1.1) 0.092 0.3 (0.1–0.7) 0.004 Antibiotics 24H before admission
No 567 (94.3) 68 (95.8) 122 (95.3) 377 (93.8) Reference - Yes 34 (5.7) 3 (4.2) 6 (4.7) 25 (6.2) 1.4 (0.6–3.0) 0.393 Antibiotics during admission
No 19 (3.2) 3 (4.3) 2 (1.6) 14 (3.6) Reference - Yes 567 (96.8) 66 (95.6) 124 (98.4) 377 (96.4) 0.8 (0.3–2.2) 0.647 Underlying medical conditionsa
No 565 (93.7) 66 (93.0) 120 (93.7) 379 (93.8) Reference - Yes 38 (6.3) 5 (7.0) 8 (6.3) 25 (6.2) 0.9 (0.5–1.8) 0.839 HIV infection N = 558 N = 66 N = 119 N = 373 No 163 (29.2) 5 (7.6) 22 (18.5) 136 (36.5) Reference - Reference - Yes 395 (70.8) 61 (92.4) 97 (81.5) 237 (63.5) 0.3 (0.2–0.5) <0.001 0.4 (0.2–0.7) 0.001 PCV serotypes/serogroups
PCV-7 111 (18.3) 13 (18.3) 28 (21.7) 70 (17.2) Reference - Reference - PCV-13 138 (22.7) 35 (49.3) 62 (48.1) 41 (10.1) 0.3 (0.2–0.5) <0.001 0.3 (0.2–0.5) <0.001 NVT 358 (59.0) 23 (32.4) 39 (30.2) 296 (72.7) 2.7 (1.7–4.4) <0.001 2.7 (1.6–4.6) <0.001 Duration of symptoms (in days)
0–2 204 (33.9) 14 (19.7) 38 (29.9) 152 (37.6) Reference - ≥3 398 (66.1) 57 (80.3) 89 (70.1) 252 (62.4) 0.6 (0.4–0.8) 0.003 Duration of hospitalization (in days)
0–2 92 (15.3) 1 (1.4) 15 (11.6) 76 918.9) Reference - Reference - 3–7 267 (44.3) 26 (36.6) 61 (47.3) 180 (44.8) 0.4 (0.2–0.8) 0.004 0.5 (0.2–1.1) 0.071 ≥8 243 (40.4) 44 (62.0) 53 (41.1) 146 (36.3) 0.3 (0.1–0.5) <0.001 0.3 (0.1–0.6) 0.002 In-hospital outcome
Survived 562 (93.2) 58 (81.7) 119 (92.2) 385 (95.5) Reference - Reference - Died 41 (6.8) 13 (18.31) 10 (7.8) 18 (4.5) 0.3 (0.2–0.6) <0.001 0.3 (0.2–0.7) 0.003
The proportion of PCV serotypes/serogroups among Rates of bacteremic pneumococcal pneumonia (SARI program – Abbreviations: PCV-7: 7-valent pneumococcal conjugate vaccine serotypes (included serotypes/serogroups 4, 6A/B, 9A/V/L/N, 14, 18A/B/C, 19B/F, 23 F for Rates of invasive PCV serotypes Hospitalization rates per 100,000 person-years Relative difference in hospitalization rates 2009 2011 2012 2009 to 2011 2009 to 2012 Rate (95 % CI) Rate (95 % CI) Rate (95 % CI) % (95 % CI)
% (95 % CI)
Any PCV-7 125.1 (93.7–163.6) 23.9 (11.9–42.8) 45.2 (28.0–69.1) −80.9 (−90.9 to −62.9) <0.001 −63.8 (−79.3 to −39.1) <0.001 PCV-13 37.8 (21.6–61.3) 15.2 (6.1–31.3) 34.4 (19.7–55.9) −59.7 (−85.9 to +3.4) 0.067 +8.8 (−94.8 to +57.3) 0.796 NVT 273.7 (226.2–328.3) 47.8 (30.0–72.4) 77.5 (54.3–107.3) − 82.5 (−89.4 to −72.3) <0.001 −71.7 (−81.1 to −58.5) <0.001 All 436.6 (375.9–504.2) 86.9 (62.1–118.3) 157.1 (123.2–197.6) −80.1 (−86.2 to −71.8) <0.001 −64.0 (−72.9 to −52.6) <0.001 Culture-positive (GERMS program) PCV-7 77.9 (53.6–109.3) 13.0 (4.8–28.4) 6.5 (1.3–18.9) −83.2 (−94.2 to – 59.5) <0.001 −91.7 (−98.4 to −73.6) <0.001 PCV-13 23.6 (11.3–43.4) 17.4 (7.5–34.2) 8.6 (2.3–22.1) −26.3 (−74.7 to +107.3) 0.529 −63.5 (−91.6 to +26.5) 0.084 NVT 28.3 (14.6–49.5) 28.2 (15.0–48.3) 28.0 (14.9–47.8) −0.2 (−58.0 to +139.2) 0.993 +1.2 (−96.7 to +58.4) 0.974 All 129.8 (97.8–168.9) 58.6 (38.7–85.3) 43.1 (26.3–66.5) −54.8 (−72.6 to −27.1) <0.001 −66.8 (−81.2 to −43.8) <0.001
An increase in rates of
From 2009 to 2011, the time-trends and the proportional decrease in rates of PCV-7 serotypes/serogroups was similar among
We expected that the introduction of PCV into our national immunization program would lead to declines in pneumococcal disease, especially vaccine-type disease among the vaccinated population. This has been shown from surveillance data using traditional culture-based methods [
As expected and previously reported [
In the stage-1 analysis, we observed a significant reduction of the proportion of serotypable samples (i.e., positive for one of the serotypes/serogroups detected by the serotyping assay) among
Of note is that the proportion of vaccine and non-vaccine serotypes/serogroups was similar among culture-positive and
Nonetheless, in our study only ≈ 33 % of all
A significantly higher decline of non-vaccine compared to PCV-7 serotypes/serogroups was observed from 2009 to 2010 potentially owing to the combined effect of the reduction of PCV-7 serotypes/serogroups misclassified in the non-vaccine category as well as the use of the Roche MagNA Pure LC 2.0 extraction instrument from February 2010. In the stage-2 analysis the use of the Roche MagNA Pure LC 2.0 compared to the Roche MagNA Pure LC 1.0 instrument for DNA extraction was significantly less associated with increasing
In the stage-2 analysis, besides the use of different extraction instruments and the non-vaccine serotypes/serogroups, factors negatively associated with increasing Ct-values were HIV infection and in-hospital death. The
Among
Our study has limitations that warrant discussion. First, we did not have
In conclusion, in our setting the overall downward trends in IPD PCV-7 serotypes-associated rates were similar among patients tested with PCR- or culture-based methods; however trends of non-vaccine serotypes/serogroups differed between the two groups. While PCR-based methods could be used to assess trends of PCV-7 serotypes/serogroups the misclassifications observed in this study affected the use of non-vaccine types as a control group. Such misclassifications could also potentially hinder the ability to assess serotype replacement following the use of PCVs over time. These findings suggest that current molecular methods alone may not be sufficient to monitor the impact of PCV unless standardized procedures and equipment are used throughout the study period and large populations are systematically surveyed to allow time-trend analysis using more restrictive Ct-value cut-offs. If the results of this study are confirmed in other settings, the development of improved molecular serotyping assays would enhance serotype-specific pneumococcal surveillance using PCR-based methods. Improvements of the molecular serotyping assays would entail increased sensitivity and inclusion of targets for all serotypes/serogroups.
The SARI protocol was approved by the University of the Witwatersrand Human Research Ethics Committee (M081042) and the University of KwaZulu-Natal Biomedical Research Ethics Committee (BF157/08). The GERMS protocol was approved by the research ethics committee of the University of Witwatersrand and by local hospitals or provincial ethics committees as required.
Bacteremic Pneumococcal Pneumonia
Chris Hani-Baragwanath Academic Hospital
Cerebrospinal Fluid
Cycle Threshold Value
Group for Enteric, Respiratory and Meningeal Disease Surveillance
Invasive Pneumococcal Diseases
Polymerase Chain Reaction
Pneumococcal Conjugate Vaccine
13-Valent Pneumococcal Conjugate Vaccine
7-Valent Pneumococcal Conjugate Vaccine
Severe Acute Respiratory Illness
No authors have any competing interests.
ST contributed to the study concept and design, acquisition and interpretation of data, critical revision of the manuscript for important intellectual content, drafted the manuscript and implemented the statistical analysis. NW, CC and AvG contributed to the study concept and design, acquisition and interpretation of data and critical revision of the manuscript for important intellectual content. SW, CvM, JM, LdG and MJG contributed to the acquisition and interpretation of data and critical revision of the manuscript for important intellectual content. ALC contributed to the study concept and design and critical revision of the manuscript for important intellectual content. SN, FT, MV and SAM contributed to the critical revision of the manuscript for important intellectual content. All authors read and approved the final version of the manuscript.
We thank all laboratory and clinical staff throughout South Africa for contributing to national surveillance of invasive pneumococcal disease as well as all members involved in the severe acute respiratory illness surveillance program for the collection of specimens and management of data.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the US Centers for Disease Control and Prevention or the National Institute for Communicable Diseases.
This work was supported by Pfizer South Africa (investigator-initiated research agreement number: WS1167521) and the US Centers for Disease Control and Prevention (co-operative agreement number: 5U51IP000155).