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Alterations in the prevalence and serotypes of Streptococcus pneumoniae in elderly patients with community-acquired pneumonia: a meta-analysis and systematic review

Abstract

Background

Pneumococcal pneumonia is a common disease with a significant impact on morbidity and mortality among the elderly population. The main purpose of this meta-analysis was to estimate the prevalence of community-acquired pneumonia (CAP) in elderly individuals caused by Streptococcus pneumoniae (S. pneumoniae).

Methods

A systematic search of the PubMed, Web of Science, and Scopus databases was conducted for relevant studies published between January 2013 and December 2023. Subgroup analysis and meta-regression were used to identify the sources of heterogeneity affecting the 87,430 patient studies obtained from 47 papers that met the inclusion and exclusion criteria.

Results

The combined prevalence rate for S. pneumoniae among all CAP patients included in the study was 14.8% (95% confidence interval [CI]: 12.3–17.8%). The 5-year pooled prevalence decreased from 16.5% (95% CI: 15.0–18.2%) in 1996–2000 to 8.4% (95% CI: 6.3–11.0%) in 2016–2020 for bacterial culture alone and from 17.4% (95% CI: 16.3–18.7%) to 13.5% (95% CI: 10.7–16.8%) for bacterial culture and urinary antigen testing (UAT) combined (P < 0.001). The most prevalent serotype was serotype 3, followed by serotypes 8, 19 A, 22 F, 11 A, 5, 9 N, 12 F, 6 A, and 10 A. The vaccine-serotype coverage was 53.5% for PCV 13, 60.5% for PCV 15, 85.2% for PCV 20 and 88.6% for PPSV 23.

Conclusion

These findings indicate a decrease in the overall burden of pneumococcal CAP among elderly individuals over the decade, which lends support to the proposition that the delivery of immunization should be expanded across the life course.

Introduction

The increasing prominence of population ageing is a social concern and a major health issue of this era. Community-acquired pneumonia (CAP), especially bacterial CAP, is the primary cause of morbidity and mortality in elderly individuals [1, 2]. Evidence suggests that Streptococcus pneumoniae (S. pneumoniae) is also considered one of the most clinically significant pathogens mediating pulmonary infections [3]. Pneumococcal disease increases morbidity and mortality substantially in high-risk populations and represents a significant economic and public health burden.

Five pneumococcal vaccines have been developed and made available worldwide: the 23-valent polysaccharide vaccine (PPSV 23), the 13-valent conjugate vaccine (PCV 13), the 10-valent conjugate vaccine (PCV 10), the 15-valent conjugate vaccine (PCV 15), and the 20-valent conjugate vaccine (PCV 20). New vaccinations that cover a greater number of serotypes are currently undergoing advanced clinical studies. However, the vaccination coverage of the elderly population remains low. In addition, the protection against pneumococcal pneumonia in adults is dependent on the group immunity formed after vaccination in children. Increasing vaccination coverage among the elderly is crucial for mitigating the morbidity and mortality associated with CAP caused by S. pneumoniae. Vaccination practices have demonstrated that raising public awareness about the epidemiological profile of the disease can result in increased vaccination rates. However, there is a need to further delineate the burden of laboratory-confirmed pneumococcal disease in the elderly population. To achieve this objective, access to reliable epidemiological data at the country or regional level, as well as more comprehensive and representative data, is essential.

Notably, there is a considerable degree of variation in the prevalence of S. pneumoniae, as reported in the published literature for the adult population, with figures ranging from 11.9–68.3% [4]. This discrepancy impairs our comprehension of the role played by S. pneumoniae in the pathogenesis of community-acquired pneumonia in elderly individuals. Previous reviews on pneumococcal pneumonia have employed either qualitative studies or early quantitative studies [5,6,7,8,9,10,11], of which only one meta-analysis was conducted among adults 14 years ago [6]. The prevalence of pneumococcal pneumonia may have changed over time and is influenced by factors such as vaccination programmes and advances in diagnostic techniques.

The aim of this study was to examine the prevalence of S. pneumoniae in elderly patients with CAP in the context of the implementation of pneumococcal vaccination programmes and the diversification of pneumococcal testing methods. We conducted a systematic review and meta-analysis of studies to summarize the prevalence of S. pneumoniae in elderly patients with CAP and to explore changes in pneumococcal serotypes. These findings will contribute to the ongoing development of vaccines and provide insights into future prevention strategies.

Method

Search strategy

This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Up to December 21, 2023, studies on the prevalence of S. pneumoniae in elderly CAP patients were retrieved from the PubMed, Web of Science, and Scopus databases. The detailed terms used were “((Streptococcus pneumoniae) OR (pneumococcal infection) OR (S. pneumoniae)) AND ((community-acquired pneumonia) OR CAP)”. EndNote was used to merge and collect the literature, which was screened according to the following inclusion and exclusion criteria on the basis of a flow chart. To avoid missing literature, reference lists of obtained papers as well as suggestions from other authors were used to identify additional studies.

Selection criteria

The inclusion criteria were as follows: (1) observational studies such as cross-sectional studies, cohort studies or surveillance; (2) the results of interest derived from CAP patients with an average age of 60 years or older; (3) the results of interest were the infection rate, detection rate, incidence rate or prevalence of S. pneumoniae in CAP patients, or the proportion of S. pneumoniae in CAP patients; (4) the research object was humans; (5) the samples could have originated from various parts of the body; (6) the studies published from 2013 to 2023; (7) the samples were collected before the COVID-19 pandemic; and (8) there was a computable rate or 95% CI.

Exclusion criteria

The exclusion criteria were as follows: (1) non-English literature; (2) non-articles such as reviews, meetings, animal experiments, and newspapers; (3) insufficient baseline information to calculate the rate and 95% CI; (4) duplicate literature or data from the same sample; (5) carriage or colonization of S. pneumoniae in the nasopharynx or oropharynx; (6) surveys not aimed at research rates (such as case-control studies); (7) research population consisting mainly of immunocompromised people; (8) research in many countries and regions without independent results; (9) sample size less than 50; (10) no results on the proportion of CAP caused by S. pneumoniae; (11) average age of cases less than 60 years; and (12) CAP not confirmed by radiographic imaging.

Data extraction

Articles were reviewed and screened by two reviewers according to the inclusion and exclusion criteria. Decisions were made by the third author in case of disagreement. All the articles judged to meet the inclusion criteria on the basis of the reviewed abstract and title were retrieved for further evaluation. After the full texts of the retrieved papers were reviewed, only those that met all the inclusion criteria were included in the analysis, and the relevant data were extracted.

The two reviewers independently extracted the number of CAP cases and the number of S. pneumoniae strains detected in CAP cases included in the literature analysis. The recorded information included the time of the literature review, type of study, age (mean and standard deviation, if reported, median and quartile or age range), sex distribution, source of patients (such as hospitalization, outpatient, emergency and intensive care unit [ICU]), sampling site, S. pneumoniae testing method, immune status, underlying disease, and related vaccine vaccination status.

Statistical analysis

Microsoft Excel was used for organizing the data, R 4.1.3 was used for meta-analysis, and OriginPro Learning Edition was used for data visualization. A meta-analysis of the proportion of S. pneumoniae infections in elderly CAP patients with the corresponding 95% CI [12] was performed for all included individual studies. Given the expected large true variation in prevalence among studies, all results meeting the inclusion and exclusion criteria were pooled approximately using a random-effects method, and subgroup analysis was conducted to identify sources of heterogeneity. The test assessed the variation in the outcomes of all included studies with respect to the objectives. Subgroup analysis included continent, country, level of development (developed country/developing country [according to internationally recognized economic classification standards] [13, 14]), study design (cohort study/cross-sectional study/surveillance), clinical setting (outpatient or emergency/inpatient/ICU), laboratory diagnosis (only bacterial culture/only urinary antigen testing/bacterial culture and urinary antigen testing/only PCR/mixed [combination of multiple detection methods]), average study duration, and average age of patients. In addition, meta-regressions were performed on these covariates to determine the source of heterogeneity. All P values were two tailed, and P ≤ 0.05 was the threshold for significance.

Results

Search results

After the databases were searched, we obtained 11,982 articles, of which 1,759 were from PubMed, 2,794 were from the Web of Science and 7,429 were from Scopus. After duplications were removed, 8,820 articles remained. After the articles were screened by title and/or abstract, we excluded nonhumans; outcomes that we were not interested in; and summary, news or reviews, etc., leaving 148 articles. After the full texts were screened, we further excluded 101 articles according to the inclusion and exclusion criteria. Out of the several thousand initially chosen publications, only 47 articles were ultimately included. The database search is shown in detail in Fig. 1.

Fig. 1
figure 1

Flow chart for the selection of studies

Study characteristics

The characteristics of the 47 selected studies are presented in Table 1. A total of 87,430 patients were included in the study, with an average age of 68.4 years, and 55.5% were male. The majority of the studies were conducted in Asia, with Japan being the most frequently represented country. The cases were sourced primarily from inpatients in general hospitals (n = 59,528; 68.1%), and 6.38% (n = 5,576) were drawn from outpatients and emergency departments. The primary samples examined in the study were sputum, blood, and urine. The testing methods included culture, urinary antigen testing, and PCR. Over time, the range of diagnostic methods employed has expanded from a single test to a combination of multiple tests. As the data presented, bacterial culture has been used as a traditional method since 1996. By the year 2000, alternative detection methods with increased sensitivity and specificity had emerged, including urine antigen detection and PCR detection (Fig. 2).

Table 1 Basic characteristics of studies included in the review and meta-analysis
Fig. 2
figure 2

Proportion of CAP caused by S. pneumoniae in different studies over time and by type of laboratory diagnosis. Each value represents the pooled percentage of CAP patients in which S. pneumoniae was detected over a five-year period, stratified by the initial year of studies. The varying colours indicate the diagnostic methods that were used

S. pneumoniae

Among the 87,430 CAP patients, 91,189 laboratory tests were conducted, including 13,703 cases of S. pneumoniae. Among all the studies included, the proportions of CAP caused by S. pneumoniae ranged from 0.7 to 65.1%. Figure 3 presents the unadjusted, study-specific proportions of S. pneumoniae as the causative agent for CAP over the study duration, with 95% CI. The pooled prevalence of S. pneumoniae was 14.8% (95% CI: 12.3–17.8%). In studies in which bacterial culture constituted the sole detection method, the pooled prevalence decreased from 16.5% (95% CI: 15.0–18.2%) in the period 1996–2000 to 8.4% (95% CI: 6.3–11.0%) in the period 2016–2020 (P < 0.001). A similar trend was also observed in studies that employed a combination of bacterial culture and UAT, from 17.4% (95% CI: 16.3–18.7%) in 1996–2000 to 13.5% (95% CI: 10.7–16.8%) in 2016–2020 (P < 0.001).

Fig. 3
figure 3

Unadjusted, study-specific proportions of S. pneumoniae as the causative agent for CAP, stratified by type of laboratory diagnosis. (The letters a, b, c, d and e represent the results from different research years in a single publication. The letters A and B represent the results from different types of laboratory diagnosis in a single publication. The term mixed indicates the combination of multiple detection methods in a single study.)

Subgroup analysis and univariate and multivariate meta-regression

By univariate meta-regression of study characteristics, we found no statistically significant difference in the observed prevalence of S. pneumoniae by continent (P = 0.060), study design (P = 0.051), or clinical setting (P = 0.099), whereas a significant difference by country (P < 0.001), developmental stage (P = 0.010), or laboratory diagnostic method (P = 0.031) was observed (Appendix Table 2). In the subgroup analysis, the heterogeneity between each subgroup was relatively high. The prevalence of S. pneumoniae was higher in England, Spain, and the Netherlands, at 26.2%, 25.4%, and 24.6%, respectively, whereas Thailand (3.1%), Poland (3.9%), and Israel (5.9%) presented lower prevalence rates. The prevalence of S. pneumoniae was greater in developed countries than in developing countries (16.1% vs. 8.5%, P = 0.010). The prevalence of S. pneumoniae was greater with PCR and the combination of multiple detection methods (21.1% and 19.2%, respectively), whereas only culture (9.2%) and only UAT (12.9%) had lower prevalence rates. Multivariate meta-regression revealed that the adjusted of the regression model formed by these covariates was 31.1%, with a P value of 0.002.

Serotype

A total of eleven publications reported data pertaining to the serotypes involved in elderly patients with pCAP. We analysed the coverage of the six known pneumococcal vaccine serotypes to determine whether there was a change from 2004 to 2017 (Fig. 4). The coverage increased in correlation with the inclusion of additional serotypes in the vaccine. Overall, the PCV 7-serotype coverage was 9.6%, whereas the coverage was 19.4% for PCV 10, 53.5% for PCV 13, 60.5% for PCV 15, 85.2% for PCV 20, and 88.6% for PPSV 23. We further analysed the changes in serotype coverage for each vaccine over time. The findings presented a gradual decrease in the proportion of serotypes covered by PCV 7, from 25.5% in 2004 to 9.0% in 2017. Similarly, the coverage of PCV 10 decreased from 49.0 to 11.9%, whereas that of PCV 13 decreased from 60.8 to 53.7%. In contrast, no significant downwards trend in serotype coverage was observed for the other three vaccines: 62.7% vs. 59.7% for PCV 15, 78.4% vs. 71.6% for PCV 20, and 78.4% vs. 88.1% for PPSV 23. Among the 2302 pneumococcal isolates identified in seven publications, the most prevalent were 3, 8, 19 A, 22 F, 11 A, 5, 9 N, 12 F, 6 A, and 10 A, which account for 18.0% (414/2302), 10.5% (241/2302), 9.3% (213/2302), 7.7% (178/2302), 6.9% (159/2302), 5.0% (114/2302), 4.3% (100/2302), 4.3% (98/2302), 4.1% (94/2302) and 3.6% (82/2302), respectively. The prevalence of serotypes 7 F, 1, 14, 9 V, 6B and 4, which are covered by PCV 7 and PCV 10, decreased to negligible levels from 2014 to 2022. Conversely, the prevalence of the additional serotypes in higher-valence vaccines has increased, with serotype 3 showing the most significant increase (Fig. 5).

Fig. 4
figure 4

(a-f). Distribution of pneumococcal vaccine serotypes, with the abscissa representing the initial year of the study

Fig. 5
figure 5

Serotype distribution of S. pneumoniae in elderly patients with pCAP. (6 A and 18 C are not included in PPSV 23.)

Discussion

Over the past two decades, three meta-studies have been conducted to examine the prevalence of pneumococcal pneumonia in Europe [11], India [5] and globally [6]. The findings indicated that the global prevalence of pneumococcal pneumonia was 27.3% in adults prior to 2010, as determined by UAT and bacterial culture [6]. Additionally, the prevalence was approximately 19% in Europe and India, which may be constrained by the geographical scope or the sensitivity of the detection method [5, 11]. These meta-analyses did not analyse the distribution of pneumococcal serotypes. In view of the potential for temporal and immunization-programmatic changes in the disease burden of S. pneumoniae, a search was conducted for studies on pCAP in older patients published between 2013 and 2023. This study was performed to estimate the proportion of CAP caused by S. pneumoniae among elderly individuals worldwide. To obtain a more reliable distribution of S. pneumoniae, outpatients or inpatients from 19 countries who were diagnosed with CAP by radiographic imaging were included in the study. The laboratory diagnostic methods employed in the present study included not only bacterial culture and UAT, but also the more sensitive method of PCR. The results demonstrated that approximately 17.0% of CAP cases were caused by S. pneumoniae, which was lower than that reported by Said, M.A. in 2013 [6]. PCV has been shown to reduce the incidence of CAP and is not only effective in vaccinated children but also protects unvaccinated adults through herd immunity effects [62]. Following the introduction of PCV 7 in 2000 and PCV 10 and PCV 13 in 2009, an increasing number of countries are incorporating pneumococcal vaccines into their national immunization programmes. The global coverage of the final dose of PCV was 65% in children in 2023 [63]. It can thus be inferred that the preceding results imply a reduction in the overall burden of pneumococcal disease over the decade, which is likely a consequence of large-scale vaccination in the population, including children and elderly individuals.

The distribution of pneumococcal serotypes represents a significant outcome of this study. The implementation of a vaccination programme has the potential to prevent the occurrence of pneumococcal pneumonia. The impact of the intervention can be evaluated qualitatively by comparing the proportion of disease caused by different pneumococcal serotypes over time. The findings of this study indicate a notable decrease in the coverage of earlier licenced vaccine serotypes over the past 14 years, particularly in the case of PCV 7. The binding of pneumococcal polysaccharides to immunogenic protein carriers has been demonstrated to increase the antibody response and induce immune memory, resulting in direct and indirect protection that has been demonstrated to significantly diminish the associated disease burden. Accordingly, the extensive deployment of PCV 7 has prompted shifts in the major serotypes within the population [47, 64], as presented in this study. Notably, irrespective of geographical location, the predominant serotypes associated with pCAP remain those that are protected by the new PCV vaccine, specifically serotypes 3, 8, 19 A, 22 F and 11 A. Some studies [65,66,67] indicate that the immunogenicity of vaccines against serotype 3 is not as robust as that against other serotypes. This finding is believed to be related to the changing clade of serotype 3, which may impact the protective efficacy of the population. Consequently, the prevalence of S. pneumoniae in serotype 3 within the population has not been effectively suppressed. The present study did not identify any alterations in the coverage of additional serotypes incorporated into PCV 15 or PCV 20, including 22 F, 8, and 11 A. This is attributed to the relatively brief period during which these vaccines have been commercially available, which has precluded any meaningful evaluation of their impact. Importantly, future studies should concentrate on the impact of these products on the prevalence of disease and the evolution of pneumococcal serotypes in a variety of geographical and epidemiological settings. In certain regions, individuals aged 65 years and above have been included in complimentary vaccination programmes. Nevertheless, the findings of this study indicate that the level of coverage for pneumococcal vaccination is less than 50% in numerous countries and regions. Consequently, there is a clear need for increased promotion of the vaccine to effectively reduce the burden of pneumococcal pneumonia. Furthermore, the research and development process needs to be accelerated to increase the immunogenicity of serotype 3.

This study was drawn primarily from Europe, North America and Asia. Discrepancies were observed in the reported prevalence rates across different countries. We tried to obtain as much information about the included studies as possible to explain these differences. Through meta-regression analysis and the inclusion of more recent studies, we were able to confirm significant differences that were independent of covariates. We accounted for the influence of various covariates, such as different countries, developmental statuses, study designs, health-care settings, laboratory diagnostic methods, average study durations, and average ages of patients, on the observed prevalence of S. pneumoniae. The model accounted for 31.1% of the heterogeneity. This correction revealed that unobserved variation remained among studies regarding the observed proportion of S. pneumoniae in CAP, such as bacterial resistance and vaccination. Notably, the study revealed a lower prevalence rate in developing countries than in developed countries, such as England, Spain, and the Netherlands. This finding may be attributable to the timing of the study and the testing methods used. The studies from developed countries included in this review commenced as early as 1996, whereas the majority of the studies in developing countries were conducted after 2009. A significant proportion of the literature in developed countries originated from earlier studies of pneumococcal pneumonia conducted prior to the introduction and widespread adoption of pneumococcal vaccines. Furthermore, more sensitive tests, such as PCR and urine antigen detection, are more prevalent in developed countries, whereas bacterial culture methods are predominantly employed in developing countries. Diagnostic and registration methods frequently suggest to be inadequate as a result of a dearth of requisite medical resources, resulting in numerous cases of respiratory infections being undiagnosed in the laboratory. Therefore, the potential for underreporting and underestimation of pneumococcal disease may result in an invalid estimation of disease incidence, consequently resulting in a significant underestimation of the true burden of pneumococcal CAP in developing countries [68].

Our study revealed that over time, pneumococcal studies have undergone a transition from relying primarily on bacterial culture as a detection method to an increasing number of studies using PCR testing. The use of PCR for the detection of S. pneumoniae is both sensitive and specific compared with the traditional method of culture [69, 70]. In particular, PCR is an effective means of identifying cases in which the culture has yielded a negative result. Consequently, the detection rate of S. pneumoniae was also markedly higher in studies that performed PCR assays more frequently than in those that performed all other diagnostic tests. Furthermore, the sensitivity of the UAT assay was greater than that of the bacterial culture method. This result is consistent with the findings of a previous study [57] in which blood cultures, sputum cultures and urine antigen tests were performed simultaneously in patients with CAP. As previously stated by Ghia, C. J. [5], the prevalence of S. pneumoniae as a cause of CAP has been underestimated because of the lack of sensitivity of the technique for the isolation of S. pneumoniae from blood. Currently, many countries have used ssUAD to detect pneumococcal serotypes, which can identify 24 serotypes included in pneumococcal vaccines. However, ssUAD works only for bacteremic CAP [71, 72]. The burden of S. pneumoniae may be underestimated by the ssUAD assay because nonbacteremic CAP is more common in CAP [6, 32, 73, 74]. From a public health standpoint, long-term surveillance employing more sensitive diagnostic techniques may be crucial. Furthermore, it is imperative that patients with CAP be screened more frequently to reduce the incidence of misdiagnosis and inadequate treatment. As the availability of these methods increases and their use in CAP improves, it is likely that the underdiagnosis of CAP will be reduced and that more reliable data on the burden of pneumococcal disease in older adults will be available.

This study has several limitations. The dearth of data from studies conducted in Africa and low-income countries has resulted in an inadequate understanding of the prevalence of CAP caused by pneumococcus in these regions. Therefore, the global prevalence of pCAP in elderly individuals may be underestimated. Furthermore, additional factors such as antibiotic treatment [43, 51, 61], immunosuppression [24], comorbidities [15], a history of smoking [55], and a history of respiratory disease [39] may also influence the proportion of S. pneumoniae detected. Despite our best efforts to collect as much data as possible and to use more comprehensive inclusion and exclusion criteria to correct for the effects of these factors, the lack of detailed information in the literature, as previously mentioned, resulted in incomplete identification of heterogeneity in the included studies. In addition, not all studies provided explicit information on pneumococcal vaccine coverage, thus precluding the incorporation of vaccination into the model to explore the association between S. pneumoniae prevalence and vaccination rates in greater depth.

Conclusion

Our study offers a comprehensive overview of the global prevalence of S. pneumoniae from a broader perspective, indicating a notable decrease in the overall burden of pneumococcal CAP (pCAP). The variability in prevalence was found to be associated with many factors, including the stage of social development, laboratory diagnostic methods and vaccination programmes. The main serotypes associated with pCAP remain those protected by PPSV and PCVs, which were recently introduced. These findings lend further support to the assertion that pneumococcal vaccines are relevant in elderly individuals. In developing countries, more research is needed to clarify the burden of disease and vaccine effectiveness to inform local policy recommendations on pneumococcal vaccination in older adults.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. The Lancet Healthy, L. Older people and political instability. Lancet Healthy Longev. 2021;2. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/s2666-7568(21)00210-5.

  2. Metlay JP, Waterer GW, Long AC, Anzueto A, Brozek J, Crothers K, Cooley LA, Dean NC, Fine MJ, Flanders SA, et al. Diagnosis and treatment of adults with community-acquired pneumonia. An official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200:e45-67. https://doiorg.publicaciones.saludcastillayleon.es/10.1164/rccm.201908-1581ST.

    Article  PubMed  PubMed Central  Google Scholar 

  3. World Health, O. The global burden of disease: 2004 update. 2008.

  4. Welte T, Torres A, Nathwani D. Clinical and economic burden of community-acquired pneumonia among adults in Europe. Thorax. 2012;67:71–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/thx.2009.129502.

    Article  PubMed  CAS  Google Scholar 

  5. Ghia CJ, Dhar R, Koul PA, Rambhad G, Fletcher MA. Streptococcus pneumoniae as a cause of community-acquired pneumonia in Indian adolescents and adults: a systematic review and meta-analysis. Clin Med Insights Circ Respir Pulm Med. 2019;13:1179548419862790. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/1179548419862790.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Said MA, Johnson HL, Nonyane BA, Deloria-Knoll M, O’Brien KL, Andreo F, Beovic B, Blanco S, Boersma WG, Boulware DR, et al. Estimating the burden of pneumococcal pneumonia among adults: a systematic review and meta-analysis of diagnostic techniques. PLoS One. 2013;8:e60273. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0060273.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Musher DM, Abers MS, Bartlett JG. Evolving understanding of the causes of pneumonia in adults, with special attention to the role of pneumococcus. Clin Infect Dis. 2017;65:1736–44. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/cix549.

    Article  PubMed  Google Scholar 

  8. Grant LR, Begier E, Theilacker C, Barry R, Hall-Murray C, Yan Q, Pope V, Pride MW, Jodar L, Gessner BD. Multicountry review of Streptococcus pneumoniae serotype distribution among adults with community-acquired pneumonia. J Infect Dis. 2024;229:282–93. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/infdis/jiad379.

    Article  PubMed  Google Scholar 

  9. Yin JK, Jayasinghe SH, Charles PG, King C, Chiu CK, Menzies RI, McIntyre PB. Determining the contribution of Streptococcus pneumoniae to community-acquired pneumonia in Australia. Med J Aust. 2017;207:396–400. https://doiorg.publicaciones.saludcastillayleon.es/10.5694/mja16.01102.

    Article  PubMed  Google Scholar 

  10. Feldman C, Anderson R. The role of Streptococcus pneumoniae in community-acquired pneumonia. Semin Respir Crit Care Med. 2016;37:806–18. https://doiorg.publicaciones.saludcastillayleon.es/10.1055/s-0036-1592074.

    Article  PubMed  Google Scholar 

  11. Rozenbaum MH, Pechlivanoglou P, van der Werf TS, Lo-Ten-Foe JR, Postma MJ, Hak E. The role of Streptococcus pneumoniae in community-acquired pneumonia among adults in Europe: a meta-analysis. Eur J Clin Microbiol Infect Dis: Off Publ Eur Soc Clin Microbiol. 2013;32:305–16. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s10096-012-1778-4.

    Article  CAS  Google Scholar 

  12. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88.

    Article  PubMed  CAS  Google Scholar 

  13. IMF World Economic Outlook. Available online: https://www.imf.org/en/Publications/WEO. Accessed 11.8.2024.

  14. Human Development Reports. Available online: https://hdr.undp.org/. Accessed 11.8.2024.

  15. Cillóniz C, Polverino E, Ewig S, Aliberti S, Gabarrús A, Menéndez R, Mensa J, Blasi F, Torres A. Impact of age and comorbidity on cause and outcome in community-acquired pneumonia. Chest. 2013;144:999–1007. https://doiorg.publicaciones.saludcastillayleon.es/10.1378/chest.13-0062.

    Article  PubMed  Google Scholar 

  16. Terraneo S, Polverino E, Cilloniz C, Amaro R, del Carmen Vennera M, Gabarrus A, Montull B, Moreno E, Menendez R, Centanni S, et al. Severity and outcomes of community acquired pneumonia in asthmatic patients. Respir Med. 2014;108:1713–22. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.rmed.2014.09.001.

    Article  PubMed  Google Scholar 

  17. Ishiguro T, Takayanagi N, Yamaguchi S, Yamakawa H, Nakamoto K, Takaku Y, Miyahara Y, Kagiyama N, Kurashima K, Yanagisawa T, et al. Etiology and factors contributing to the severity and mortality of community-acquired pneumonia. Intern Med. 2013;52:317–24. https://doiorg.publicaciones.saludcastillayleon.es/10.2169/internalmedicine.52.8830.

    Article  PubMed  Google Scholar 

  18. Khawaja A, Zubairi AB, Durrani FK, Zafar A. Etiology and outcome of severe community acquired pneumonia in immunocompetent adults. BMC Infect Dis. 2013;13:13. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1471-2334-13-94.

    Article  Google Scholar 

  19. Spoorenberg SM, Bos WJ, Heijligenberg R, Voorn PG, Grutters JC, Rijkers GT, van de Garde EM. Microbial aetiology, outcomes, and costs of hospitalisation for community-acquired pneumonia; an observational analysis. BMC Infect Dis. 2014;14:14. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1471-2334-14-335.

    Article  Google Scholar 

  20. Molinos L, Zalacain R, Menendez R, Reyes S, Capelastegui A, Cilloniz C, Rajas O, Borderias L, Martin-Villasclaras JJ, Bello S, et al. Sensitivity, specificity, and positivity predictors of the pneumococcal urinary antigen test in community-acquired pneumonia. Ann Am Thorac Soc. 2015;12:1482–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1513/AnnalsATS.201505-304OC.

    Article  PubMed  Google Scholar 

  21. Herrera-Lara S, Fernández-Fabrellas E, Cervera-Juan Á, Blanquer-Olivas R. Do seasonal changes and climate influence the etiology of community acquired pneumonia? Arch Bronconeumol. 2013;49:140–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.arbr.2013.02.004.

    Article  PubMed  Google Scholar 

  22. Kumagai S, Ishida T, Tachibana H, Ito A, Ito Y, Hashimoto T. Polybacterial aetiology and outcomes in patients with community-acquired pneumonia. Int J Tuberc Lung Dis. 2016;20:129-U198. https://doiorg.publicaciones.saludcastillayleon.es/10.5588/ijtld.15.0353.

    Article  PubMed  CAS  Google Scholar 

  23. Yoo KH, Yoo CG, Kim SK, Jung JY, Lee MG, Uh ST, Shim TS, Jeon K, Shim JJ, Lee HB, et al. Economic burden and epidemiology of pneumonia in Korean adults aged over 50 years. J Korean Med Sci. 2013;28:888–95. https://doiorg.publicaciones.saludcastillayleon.es/10.3346/jkms.2013.28.6.888.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Holter JC, Müller F, Bjørang O, Samdal HH, Marthinsen JB, Jenum PA, Ueland T, Frøland SS, Aukrust P, Husebye E, et al. Etiology of community-acquired pneumonia and diagnostic yields of microbiological methods: a 3-year prospective study in Norway. BMC Infect Dis. 2015;15. doi: 10.1186/s12879-015-0803-5.

    Article  Google Scholar 

  25. Kim B, Kim J, Jo YH, Lee JH, Hwang JE, Park MJ, Lee S. Prognostic value of pneumococcal urinary antigen test in community-acquired pneumonia. PLoS ONE. 2018;13:e0200620. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0200620.

  26. Daniel P, Rodrigo C, Bewick T, Sheppard C, Greenwood S, McKeever TM, Slack M, Lim WS. Increased incidence of adult pneumococcal pneumonia during school holiday periods. ERS Monogr. 2017;3. https://doiorg.publicaciones.saludcastillayleon.es/10.1183/23120541.00100-2016.

  27. Bjarnason A, Westin J, Lindh M, Andersson LM, Kristinsson KG, Löve A, Baldursson O, Gottfredsson M. Incidence, etiology, and outcomes of community-acquired pneumonia: a population-based study. Open Forum Infect Dis. 2018;5:ofy010. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/ofid/ofy010.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Çilli A, Sayıner A, Çelenk B, Şakar Coşkun A, Kılınç O, Hazar A, Aktaş Samur A, Taşbakan S, Waterer GW, Havlucu Y, et al. Antibiotic treatment outcomes in community-acquired pneumonia. Turk J Med Sci. 2018;48:730–6. https://doiorg.publicaciones.saludcastillayleon.es/10.3906/sag-1709-144.

    Article  PubMed  CAS  Google Scholar 

  29. Siow WT, Koay ESC, Lee CK, Lee HK, Ong V, Ngerng WJ, Lim HF, Tan A, Tang JWT, Phua J. The use of polymerase chain reaction amplification for the detection of viruses and bacteria in severe community-acquired pneumonia. Respiration. 2016;92:286–94. https://doiorg.publicaciones.saludcastillayleon.es/10.1159/000448555.

    Article  PubMed  CAS  Google Scholar 

  30. Gross AE, Van Schooneveld TC, Olsen KM, Rupp ME, Bui TH, Forsung E, Kalil AC. Epidemiology and predictors of multidrug-resistant community-acquired and health care-associated pneumonia. Antimicrob Agents Chemother. 2014;58:5262–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1128/aac.02582-14.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Shindo Y, Ito R, Kobayashi D, Ando M, Ichikawa M, Shiraki A, Goto Y, Fukui Y, Iwaki M, Okumura J, et al. Risk factors for drug-resistant pathogens in community-acquired and healthcare-associated pneumonia. Am J Respir Crit Care Med. 2013;188:985–95. https://doiorg.publicaciones.saludcastillayleon.es/10.1164/rccm.201301-0079OC.

    Article  PubMed  CAS  Google Scholar 

  32. LeBlanc JJ, ElSherif M, Ye L, MacKinnon-Cameron D, Li L, Ambrose A, Hatchette TF, Lang AL, Gillis H, Martin I, et al. Burden of vaccine-preventable pneumococcal disease in hospitalized adults: a Canadian Immunization Research Network (CIRN) Serious Outcomes Surveillance (SOS) network study. Vaccine. 2017;35:3647–54. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.vaccine.2017.05.049.

    Article  PubMed  Google Scholar 

  33. LeBlanc J, ElSherif M, Ye L, MacKinnon-Cameron D, Ambrose A, Hatchette TF, Lang AL, Gillis HD, Martin I, Demczuk WH, et al. Age-stratified burden of pneumococcal community acquired pneumonia in hospitalised Canadian adults from 2010 to 2015. BMJ Open Respir Res. 2020;7. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/bmjresp-2019-000550.

  34. LeBlanc JJ, ElSherif M, Ye L, MacKinnon-Cameron D, Ambrose A, Hatchette TF, Lang ALS, Gillis HD, Martin I, Demczuk WHB, et al. Recalibrated estimates of non-bacteremic and bacteremic pneumococcal community acquired pneumonia in hospitalized Canadian adults from 2010 to 2017 with addition of an extended spectrum serotype-specific urine antigen detection assay. Vaccine. 2022;40:2635–46. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.vaccine.2022.02.081.

    Article  PubMed  CAS  Google Scholar 

  35. Parrott G, Nebeya D, Kinjo T, Miyagi K, Haranaga S, Higa F, Tateyama M, Fujita J. Etiological analysis and epidemiological comparison among adult CAP and NHCAP patients in Okinawa, Japan. J Infect Chemother. 2017;23:452–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jiac.2017.03.018.

    Article  PubMed  Google Scholar 

  36. Heo JY, Seo YB, Choi WS, Lee J, Yoon JG, Lee SN, Choi MJ, Noh JY, Ahn JY, Jeong HW, et al. Incidence and case fatality rates of community-acquired pneumonia and pneumococcal diseases among Korean adults: catchment population-based analysis. PLoS One. 2018;13: e0194598. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0194598.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Iqbal N, Irfan M, Siddique F, Arshad V, Zubairi ABS. Factors predicting in-hospital mortality among patients admitted with community acquired pneumonia at a tertiary care hospital Karachi, Pakistan. Clin Respir J. 2020;14:328–34. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/crj.13137.

    Article  PubMed  Google Scholar 

  38. Valles J, Martin-Loeches I, Torres A, Diaz E, Seijas I, Jose Lopez M, Garro P, Castillo C, Garnacho-Montero J, del Mar Martin M, et al. Epidemiology, antibiotic therapy and clinical outcomes of healthcare-associated pneumonia in critically ill patients: a Spanish cohort study. Intensive Care Med. 2014;40:572–81. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00134-014-3239-2.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. Fukuyama H, Yamashiro S, Tamaki H, Kishaba T. A prospective comparison of nursing- and healthcare-associated pneumonia (NHCAP) with community-acquired pneumonia (CAP). J Infect Chemother: Off J Japan Soc Chemother. 2013;19:719–26. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s10156-013-0557-1.

    Article  Google Scholar 

  40. Morimoto K, Suzuki M, Ishifuji T, Yaegashi M, Asoh N, Hamashige N, Abe M, Aoshima M, Ariyoshi K. The burden and etiology of community-onset pneumonia in the aging Japanese population: a multicenter prospective study. PLoS One. 2015;10. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0122247.

  41. Torres A, Menéndez R, España PP, Fernández-Villar JA, Marimón JM, Cilloniz C, Méndez R, Egurrola M, Botana-Rial M, Ercibengoa M, et al. The evolution and distribution of pneumococcal serotypes in adults hospitalized with community-acquired pneumonia in Spain using a serotype-specific urinary antigen detection test: the CAPA study, 2011–2018. Clin Infect Dis: Off Publ Infect Dis Soc Am. 2021;73:1075–85. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/ciab307.

    Article  CAS  Google Scholar 

  42. Mohamed Faisal AH, Petrick P, Ban AYL, Roslina AM. Detection rate of pneumococcal pneumonia using the urine antigen kit BinaxNow streptococcus pneumoniae test: a prospective cohort study in a tertiary hospital in Malaysia. Int Med J Malaysia. 2017;16:29–36.

    Google Scholar 

  43. Wu F, Wu J, Xu N, Lin Q, Qiu D, Lyu X, Lin M, Yue W, Xiao Y, Ren L, et al. Changes in the pathogen spectrum of hospitalized adults with community acquired pneumonia in Fujian Province: a multicenter, retrospective study from 2012 to 2018. Chin Med J. 2023;136:883–5. https://doiorg.publicaciones.saludcastillayleon.es/10.1097/cm9.0000000000002648.

    Article  Google Scholar 

  44. Yoshii Y, Shimizu K, Morozumi M, Chiba N, Ubukata K, Uruga H, Hanada S, Wakui H, Ito S, Takasaka N, et al. Identification of pathogens by comprehensive real-time PCR versus conventional methods in community-acquired pneumonia in Japanese adults. Infect Dis (London England). 2016;48:782–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/23744235.2016.1193788.

    Article  CAS  Google Scholar 

  45. Mitsui M, Ito A, Ishida T, Tachibana H, Nakanishi Y, Yamazaki A, Washio Y. Increased risk of Legionella pneumonia as community-acquired pneumonia after heavy rainfall in 2018 in west Japan. J Infect Chemother. 2021;27:1429–35. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jiac.2021.05.018.

    Article  PubMed  Google Scholar 

  46. Costa MI, Cipriano A, Santos FV, Valdoleiros SR, Furtado I, Machado A, Abreu M, Bastos HN. Clinical profile and microbiological aetiology diagnosis in adult patients hospitalized with community-acquired pneumonia. Pulmonology. 2022;28:358–67. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.pulmoe.2020.11.003.

    Article  PubMed  CAS  Google Scholar 

  47. Pick H, Daniel P, Rodrigo C, Bewick T, Ashton D, Lawrence H, Baskaran V, Edwards-Pritchard RC, Sheppard C, Eletu SD, et al. Pneumococcal serotype trends, surveillance and risk factors in UK adult pneumonia, 2013-18. Thorax. 2020;75:38–49. https://doiorg.publicaciones.saludcastillayleon.es/10.1136/thoraxjnl-2019-213725.

    Article  PubMed  Google Scholar 

  48. Isturiz R, Grant L, Gray S, Alexander-Parrish R, Jiang Q, Jodar L, Peyrani P, Ford KD, Pride MW, Self WH, et al. Expanded analysis of 20 pneumococcal serotypes associated with radiographically confirmed community-acquired pneumonia in hospitalized US adults. Clin Infect Dis: Off Publ Infect Dis Soc Am. 2021;73:1216–22. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/ciab375.

    Article  Google Scholar 

  49. LeBlanc JJ, ElSherif M, Ye L, MacKinnon-Cameron D, Ambrose A, Hatchette TF, Lang ALS, Gillis HD, Martin I, Demczuk W, et al. Streptococcus pneumoniae serotype 3 is masking PCV13-mediated herd immunity in Canadian adults hospitalized with community acquired pneumonia: a study from the Serious Outcomes Surveillance (SOS) Network of the Canadian Immunization Research Network (CIRN). Vaccine. 2019;37:5466–73. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.vaccine.2019.05.003.

    Article  PubMed  Google Scholar 

  50. Regev-Yochay G, Chowers M, Chazan B, Gonzalez E, Gray S, Zhang Z, Pride M. Distribution of 13-valent pneumococcal conjugate vaccine serotype streptococcus pneumoniae in adults 50 years and older presenting with community-acquired pneumonia in Israel. Hum Vaccines Immunother. 2018;14:2527–32. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/21645515.2018.1475811.

    Article  Google Scholar 

  51. Lim YK, Kweon OJ, Kim HR, Kim TH, Lee MK. Impact of bacterial and viral coinfection in community-acquired pneumonia in adults. Diagn Microbiol Infect Dis. 2019;94:50–4. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.diagmicrobio.2018.11.014.

    Article  PubMed  Google Scholar 

  52. Osman M, Manosuthi W, Kaewkungwal J, Silachamroon U, Mansanguan C, Kamolratanakul S, Pitisuttithum P. Etiology, clinical course, and outcomes of pneumonia in the elderly: a retrospective and prospective cohort study in Thailand. Am J Trop Med Hygiene. 2021;104:2009–16. https://doiorg.publicaciones.saludcastillayleon.es/10.4269/ajtmh.20-1393.

    Article  Google Scholar 

  53. Kara S, Akcay MS, Ekici Unsal Z, Bozkurt Yilmaz HE, Habesoglu MA. Comparative analysis of the patients with community-acquired pneumonia (CAP) and health care-associated pneumonia (HCAP) requiring hospitalization. Tuberkuloz ve Toraks. 2019;67:108–15. https://doiorg.publicaciones.saludcastillayleon.es/10.5578/tt.68421.

    Article  PubMed  Google Scholar 

  54. Heo JY, Seo YB, Jeong HW, Choi MJ, Min KH, Choi WS, Lee J, Noh JY, Cheong HJ, Kim WJ, et al. Epidemiology of community-acquired pneumonia in the era of extended serotype-covering multivalent pneumococcal conjugate vaccines. Vaccine. 2020;38:7747–55. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.vaccine.2020.10.046.

    Article  PubMed  CAS  Google Scholar 

  55. Şenol E, Cilli A, Gunen H, Sener A, Dumlu R, Odemis A, Topcu AF, Yildiz Y, Guner R, Ozhasenekler A, et al. The role of pneumococcal pneumonia among community-acquired pneumonia in adult Turkish population: TurkCAP study. Turkish Thorac J. 2021;22:339–45. https://doiorg.publicaciones.saludcastillayleon.es/10.5152/TurkThoracJ.2021.20223.

    Article  Google Scholar 

  56. Lin WH, Chiu HC, Chen KF, Tsao KC, Chen YY, Li TH, Huang YC, Hsieh YC. Molecular detection of respiratory pathogens in community-acquired pneumonia involving adults. J Microbiol Immunol Infect. 2022;55:829–37. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jmii.2021.11.009.

    Article  PubMed  Google Scholar 

  57. Gilbert DN, Leggett JE, Wang L, Ferdosian S, Gelfer GD, Johnston ML, Footer BW, Hendrickson KW, Park HS, White EE, et al. Enhanced detection of community-acquired pneumonia pathogens with the BioFire® pneumonia FilmArray® panel. Diagn Microbiol Infect Dis. 2021;99:99. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.diagmicrobio.2020.115246.

    Article  CAS  Google Scholar 

  58. Liapikou A, Konstantinidis A, Kossyvaki V, Skiadas J, Menegas D, Méndez C, Beavon R, Begier E, Gessner BD, Milionis H, et al. Pneumococcal serotypes in adults hospitalized with community-acquired pneumonia in Greece using urinary antigen detection tests: the EGNATIA study, November 2017–April 2019. Hum Vaccin Immunother. 2022;18. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/21645515.2022.2079923.

  59. Rögnvaldsson KG, Bjarnason A, Ólafsdóttir IS, Helgason KO, Guðmundsson A, Gottfreðsson M. Adults with symptoms of pneumonia: a prospective comparison of patients with and without infiltrates on chest radiography. Clin Microbiol Infect: Off Publ Eur Soc Clin Microbiol Infect Dis. 2023;29:e108101-108106. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.cmi.2022.07.013.

    Article  Google Scholar 

  60. Hyun H, Song JY, Yoon JG, Seong H, Noh JY, Cheong HJ, Kim WJ. Risk factor-based analysis of community-acquired pneumonia, healthcare-associated pneumonia and hospital-acquired pneumonia: microbiological distribution, antibiotic resistance, and clinical outcomes. PLoS One. 2022;17:17. https://doiorg.publicaciones.saludcastillayleon.es/10.1371/journal.pone.0270261.

    Article  CAS  Google Scholar 

  61. Kawecki D, Majewska A, Czerwinski J. Change for the better: severe pneumonia at the emergency department. Pathogens. 2022;11. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/pathogens11070779.

  62. Musher DM. Pneumococcal vaccine — direct and indirect (Herd) effects. N Engl J Med. 2006;354:1522–4.

    Article  PubMed  CAS  Google Scholar 

  63. WHO. Immunization coverage. Available online: https://www.who.int/news-room/fact-sheets/detail/immunization-coverage. Accessed 22 Oct 2024.

  64. Lim WS, Macfarlane JT, Boswell TCJ, Harrison TG, Rose D, Leinonen M, Saikku P. Study of community acquired pneumonia aetiology (SCAPA) in adults admitted to hospital: implications for management guidelines. Thorax. 2001;56:296–301.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  65. Candeias C, Almeida ST, Paulo AC, Simões AS, Ferreira B, Cruz AR, Queirós M, Touret T, Brito-Avô A, de Lencastre H, et al. Streptococcus pneumoniae carriage, serotypes, genotypes, and antimicrobial resistance trends among children in Portugal, after introduction of PCV13 in National Immunization Program: a cross-sectional study. Vaccine. 2024;42:42. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.vaccine.2024.126219.

    Article  CAS  Google Scholar 

  66. Groves N, Sheppard CL, Litt D, Rose S, Silva A, Njoku N, Rodrigues S, Amin-Chowdhury Z, Andrews N, Ladhani S, et al. Evolution of Streptococcus pneumoniae serotype 3 in England and Wales: a major vaccine Evader. Genes. 2019;10. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/genes10110845.

  67. Opavski N, Jovićević M, Kabić J, Kekić D, Gajić I. Effect of childhood pneumococcal conjugate vaccination on invasive disease serotypes in Serbia. Vaccines. 2024;12:12. https://doiorg.publicaciones.saludcastillayleon.es/10.3390/vaccines12080940.

    Article  CAS  Google Scholar 

  68. Brendish NJ, Malachira AK, Beard KR, Armstrong L, Lillie PJ, Clark TW. Hospitalised adults with pneumonia are frequently misclassified as another diagnosis. Respir Med. 2019;150:81–4. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.rmed.2019.02.013.

    Article  PubMed  Google Scholar 

  69. Morozumi M, Nakayama E, Iwata S, Aoki Y, Hasegawa K, Kobayashi R, Chiba N, Tajima T, Ubukata K. Simultaneous detection of pathogens in clinical samples from patients with community-acquired pneumonia by real-time PCR with pathogen-specific molecular beacon probes. J Clin Microbiol. 2006;44:1440–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1128/jcm.44.4.1440-1446.2006.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  70. Falguera M, López A, Nogués A, Porcel JM, Rubio-Caballero M. Evaluation of the polymerase chain reaction method for detection of Streptococcus pneumoniae DNA in pleural fluid samples. Chest. 2002;122:2212–6. https://doiorg.publicaciones.saludcastillayleon.es/10.1378/chest.122.6.2212.

    Article  PubMed  CAS  Google Scholar 

  71. Pride MW, Huijts SM, Wu K, Souza V, Passador S, Tinder C, Song E, Elfassy A, McNeil L, Menton R, et al. Validation of an immunodiagnostic assay for detection of 13 Streptococcus pneumoniae serotype-specific polysaccharides in human urine. Clin Vaccine Immunol. 2012;19:1131–41. https://doiorg.publicaciones.saludcastillayleon.es/10.1128/cvi.00064-12.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  72. Kalina WV, Souza V, Wu K, Giardina P, McKeen A, Jiang Q, Tan C, French R, Ren Y, Belanger K, et al. Qualification and clinical validation of an immunodiagnostic assay for detecting 11 additional Streptococcus pneumoniae serotype-specific polysaccharides in human urine. Clin Infect Dis: Off Publ Infect Dis Soc Am. 2020;71:e430-438. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/ciaa158.

    Article  CAS  Google Scholar 

  73. Wunderink RG, Self WH, Anderson EJ, Balk R, Fakhran S, Courtney DM, Qi C, Williams DJ, Zhu Y, Whitney CG, et al. Pneumococcal community-acquired pneumonia detected by serotype-specific urinary antigen detection assays. Clin Infect Dis: Off Publ Infect Dis Soc Am. 2018;66:1504–10. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/cid/cix1066.

    Article  CAS  Google Scholar 

  74. van Werkhoven CH, Hollingsworth RC, Huijts SM, Bolkenbaas M, Webber C, Patterson S, Sanders EA, Bonten MJ. Pneumococcal conjugate vaccine herd effects on non-invasive pneumococcal pneumonia in elderly. Vaccine. 2016;34:3275–82. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.vaccine.2016.05.002.

    Article  PubMed  Google Scholar 

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Funding

This work was supported by the Joint Research Fund for Beijing Natural Science Foundation and Haidian Original Innovation (L222029), Special Funds for the Construction of High-level Public Health Technical Personnel from the Beijing Municipal Health Commission (2022-3-01-021), and the Key Project on Capacity Building Plan (145AHQ080020005X).

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LXY made significant contributions to the reported work, be it in conception, design, conduct, data collection, analysis, writing, and interpretation. YQL, LJ and WJ participated in the methodology, statistical analysis, and modification of the final draft. LM and ZBH conceived the study and participated in its design, coordination, and selection of the studies and in the initial and final drafts of the study. All the authors read and approved the final manuscript.

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Correspondence to Binghua Zhu or Min Lv.

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Appendix

Appendix

Table 2 Pooled S. pneumoniae detection rates overall and in subgroups by study characteristics

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Luo, X., Yuan, Q., Li, J. et al. Alterations in the prevalence and serotypes of Streptococcus pneumoniae in elderly patients with community-acquired pneumonia: a meta-analysis and systematic review. Pneumonia 17, 5 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s41479-025-00156-0

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