Literature DB >> 30239637

Decline in Pneumococcal Disease Attenuated in Older Adults and Those With Comorbidities Following Universal Childhood PCV13 Immunization.

Stephen I Pelton1,2, Rebecca Bornheimer3, Robin Doroff3, Kimberly M Shea1, Reiko Sato4, Derek Weycker3.   

Abstract

BACKGROUND: Following introduction of 7-valent pneumococcal conjugate vaccine (PCV7) in the United States, epidemiology of pneumococcal disease shifted such that disease incidence in the elderly exceeded that in children. We evaluated the impact of replacing PCV7 with PCV13 on disease burden in adults and identified age/risk-specific subgroups with the highest remaining disease burden.
METHODS: A retrospective design and data from two US healthcare claims repositories were used. Study population included adults aged ≥18 years and was stratified by age (18-49, 50-64, 65-74, ≥75) and risk profile (healthy, at-risk, high-risk). Rate ratios comparing invasive pneumococcal disease (IPD), all-cause hospitalized pneumonia (ACHP), and pneumococcal pneumonia requiring hospitalization among at-risk and high-risk adults vs healthy counterparts were estimated for 2007-2010 (pre-PCV13), 2011-2012 (peri-PCV13), and 2013-2015 (post-PCV13).
RESULTS: Across study periods, IPD and ACHP rates increased with age (2-27 times higher in persons ≥75 vs 18-49) and comorbidity (4-20 times higher in high-risk vs healthy). From pre- to post-PCV13 period, IPD rates declined 5%-48% and ACHP rates declined 4%-19% across age and risk groups (ACHP did not decline in persons ≥75). Decline in IPD and ACHP was attenuated among older adults and those with comorbidities. Accordingly, rate ratios among at-risk and high-risk persons (vs healthy counterparts) increased during the peri- and post-PCV13 periods compared with the pre-PCV13 period.
CONCLUSIONS: The switch to PCV13 was associated with large declines in pneumococcal disease among US adults. However, the decline was attenuated with increasing age (and, for ACHP, was absent in persons ≥75) and in those with comorbidities.
© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America.

Entities:  

Keywords:  zzm321990 Streptococcus pneumoniazzm321990 ; comorbidity; immunocompromised; pneumococcal infections; pneumonia

Year:  2019        PMID: 30239637      PMCID: PMC6522679          DOI: 10.1093/cid/ciy800

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


The epidemiology of pneumococcal disease dramatically shifted in the United States following the introduction of 7-valent pneumococcal conjugate vaccine (PCV7). Prior to the introduction of PCV7 in 2000, the highest incidence rates of invasive pneumococcal disease (IPD) were found in children aged <2 years. Universal PCV7 immunization of birth cohorts beginning in 2000 dramatically reduced the incidence of pneumococcal disease in children such that disease incidence in adults aged ≥65 years now exceeds that in children [1, 2]. The decline in pneumococcal disease in children results primarily from direct protection elicited by universal immunization with pneumococcal conjugate vaccines. The widespread use of PCV7 among young children in the United States also resulted—via a herd effect—in reduced levels of IPD among older children and adults [3-6]. However, by 2010, increasing numbers of cases of IPD due to nonvaccine serotypes began to erode the reductions in disease in both adults and children. In part as a response to increasing replacement disease, PCV13 was introduced in the United States for use in all children aged <2 years and as catch-up dosing for children between the ages of 2 and 5 years in 2010 [7]. Two years later, in 2012, PCV13 was recommended for adults aged ≥18 years with immunocompromising conditions. In 2014, the recommendation was expanded to include all adults aged ≥65 years. The incidence of IPD in children declined soon after the introduction of PCV13, reflecting the direct protection achieved [2]. Subsequently, the IPD incidence in adults declined as well [1, 2]. Prior research conducted by our group focused on estimating the magnitude of increased risk of pneumococcal disease among children and adults with “at-risk” (immunocompetent with at least 1 chronic medical condition identified as an indication for pneumococcal vaccination) and “high-risk” (immunocompromised or with a cochlear implant) conditions in the era of universal childhood PCV7 immunization [8, 9]. The results of this research demonstrated that the increased risk of pneumococcal disease associated with specific comorbid conditions persisted among both children and adults during the PCV7 era and that the magnitude of excess risk varied with age and comorbid condition. Investigators have reported similar findings from the United Kingdom and the United States, although rates and relative rates have varied across studies [10-12]. Our research also demonstrated that individuals with comorbid conditions suffer a disproportionate burden of pneumococcal disease. For example, 66% of pneumococcal pneumonia was found to occur among 24% of the adult population with at-risk and high-risk conditions, and immunocompetent adults with 2 or more at-risk conditions had rates of pneumococcal disease that were as high (or higher than) those among adults with immunodeficiency. Recognizing that differences in the incidence of pneumococcal disease in adults are related to age and comorbidity status, we hypothesized that the reported decline in pneumococcal disease burden in adults [2, 13] following introduction of PCV13 in children was likely to vary across the adult population. To compare the burden of pneumococcal disease in adults before and after introduction of PCV13 with a specific focus on age and comorbidity, we used 2 large healthcare claims repositories to identify the burden of disease by age and comorbidity profile and to measure the temporal change in disease burden across age- and risk-specific adult subgroups. While lacking certain elements of clinical richness, the repositories that were used provide access to the health profile and healthcare experience—across the continuum of care settings—for tens of millions of persons over a multiyear period and thus contain information on large numbers of persons with and without specific medical conditions.

METHODS

We used a retrospective design and data from 2 US private healthcare claims repositories—the Truven Health Analytics MarketScan Commercial Claims and Encounters and Medicare Supplemental and Coordination of Benefits Databases and the Optum Clinformatics Claims Database. For this study, data spanned the period from January 2005 through December 2015. A detailed description of the data sources may be found in the Supplementary Appendix A. Study cohorts were identified as of the beginning of each calendar quarter of observation from January 2007 to December 2015 and were characterized in terms of their age and risk profile. Patient age was determined assuming a birth date of 30 June in their birth year. Patient risk profile was determined based on the presence of medical conditions that are current indications for pneumococcal vaccination in recommendations set forth by the US Advisory Committee on Immunization Practices (ACIP); operational algorithms and codes used to identify these conditions are set forth in the Supplementary Appendix B [10, 14]. High-risk adults included those who were immunocompromised or had a cochlear implant. At-risk adults included those who were immunocompetent with 1 or more chronic medical conditions. Healthy adults included those without evidence of any high-risk or at-risk condition. Risk profiles were characterized based on information recorded during the 2-year period prior to the beginning of the corresponding calendar quarter. To ensure that risk profiles were characterized comprehensively and consistently across study cohorts, patients without healthcare claims data for 2 or more years prior to the first day of the calendar quarter were excluded from consideration. Patients who met criteria for inclusion in multiple calendar quarters contributed a corresponding number of observations to analyses. For each of these cohorts, episodes of IPD, all-cause pneumonia, and pneumococcal pneumonia requiring hospitalization were ascertained over the 3-month (“follow-up”) period beginning on the first day of the corresponding calendar quarter and ending on the last day of the same calendar quarter (or the date of loss to follow-up, if earlier). Hospitalizations for IPD were identified based on a diagnosis of bacteremia, meningitis, or selected other invasive manifestations, and a diagnosis of pneumococcus, with 1 such diagnosis in the first-listed position. Hospitalizations for pneumonia were identified based on a first-listed diagnosis of pneumonia or on a first-listed diagnosis of bacteremia or respiratory failure and a second-listed diagnosis of pneumonia, based on the study by Lindenauer and colleagues [15]. Hospitalizations for pneumococcal pneumonia also required a diagnosis of pneumococcus. Operational algorithms and codes for the outcomes of interest are set forth in the Supplementary Appendix C. Episodes of pneumococcal disease that were separated by 90 or more days were considered as separate events for each patient. Crude incidence rates of pneumococcal disease among healthy, at-risk, and high-risk persons, respectively, were calculated by calendar quarter for each age group. Rates were calculated by dividing the number of disease episodes within the age/risk-specific subgroup in a given quarter by the total number of person-years in the corresponding age/risk-specific subgroup in that quarter. Rates were expressed per 100 000 person-years, and confidence intervals (CIs) were computed using the Wilson score interval [16]. Rate ratios for disease episodes among persons with at-risk and high-risk conditions vs their age-stratified healthy counterparts were estimated for the pre- (2007–2010), peri- (2011–2012), and post-PCV13 (2013–2015) periods using Poisson regression.

RESULTS

A total of 56.6 million persons contributed 158.1 million person-years of observation from January 2007 through December 2015 and thus were included in the study population. The number of person-years and the distribution of person-years by age and risk profile were largely comparable between the pre-PCV13 period (2007–2010), the peri-PCV13 period (2011–2012), and the post-PCV13 period (2013–2015) (Supplementary Table 1). In all 3 periods, incidence rates for IPD, all-cause pneumonia, and pneumococcal pneumonia increased monotonically with age and risk profile (Table 1, Supplementary Table 2, Supplementary Figures 1–3). For example, in the post-PCV13 period (2013–2015), the rate of all-cause pneumonia among adults aged ≥75 years was 6–27 times (depending on risk profile) the rate in those aged 18–49 years, and the rates among at-risk and high-risk adults were 3–6 and 4–20 times (depending on age), respectively, the rate in healthy persons.
Table 1.

Rates and Rate Ratios for Invasive Pneumococcal Disease and All-cause Pneumonia Requiring Hospitalization, by Age and Risk Profile

Rate per 100 000 Person-years (95% CI)Percent Decline in Rate (95% CI) From 2007–2010 toRate Ratios (95% CI) vs Healthy
2007–20102011–20122013–20152011–20122013–20152007–20102011–20122013–2015
Invasive pneumococcal disease
 Age/risk profile
  18–49 years
   Healthy1.1 (1.0, 1.2)0.6 (0.5, 0.7)0.6 (0.5, 0.7)43 (30, 54)47 (36, 57) ... ... ...
   At-risk3.2 (2.6, 3.9)2.4 (1.8, 3.1)2.1 (1.6, 2.6)24 (–5, 46)35 (11, 53)3.0 (2.4, 3.7)4.0 (2.9, 5.5)3.7 (2.7, 4.9)
   High-risk12.7 (10.4, 15.6)9.3 (7.0, 12.3)8.6 (6.7, 11.2)27 (–3, 49)32 (6, 51)11.9 (9.4, 15.0)15.3 (10.9, 21.5)15.4 (11.3, 20.9)
  50–64 years
   Healthy2.8 (2.6, 3.1)2.0 (1.7, 2.3)1.9 (1.6, 2.1)29 (16, 40)34 (23, 44) ... ... ...
   At-risk7.0 (6.3, 7.8)5.8 (5.0, 6.7)6.0 (5.3, 6.7)18 (2, 31)15 (1, 28)2.5 (2.2, 2.9)2.9 (2.4, 3.6)3.2 (2.7, 3.8)
   High-risk20.5 (18.3, 23.0)17.3 (15.0, 20.1)16.4 (14.4, 18.7)16 (–2, 30)20 (5, 33)7.3 (6.3, 8.5)8.7 (7.1, 10.7)8.8 (7.4, 10.6)
  65–74 years
   Healthy4.0 (3.3, 4.9)3.6 (2.8, 4.7)2.7 (2.0, 3.5)10 (–26, 35)33 (7, 52) ... ... ...
   At-risk11.8 (10.2, 13.6)9.9 (8.2, 12.0)8.7 (7.3, 10.4)16 (–7, 34)26 (7, 41)3.0 (2.3, 3.8)2.7 (2.0, 3.8)3.3 (2.4, 4.5)
   High-risk26.4 (22.6, 30.8)25.9 (21.4, 31.2)20.8 (17.5, 24.9)2 (–25, 23)21 (0, 38)6.6 (5.1, 8.5)7.2 (5.2, 9.9)7.8 (5.7, 10.8)
  ≥75 years
   Healthy7.1 (6.0, 8.5)6.8 (5.3, 8.7)6.0 (4.7, 7.7)5 (–29, 30)15 (–14, 37) ... ... ...
   At-risk19.2 (17.2, 21.4)17.1 (14.7, 19.9)18.3 (16.1, 20.8)11 (–8, 26)5 (–13, 20)2.7 (2.2, 3.3)2.5 (1.9, 3.4)3.0 (2.3, 4.0)
   High-risk26.3 (22.9, 30.2)24.1 (20.1, 28.9)28.0 (24.2, 32.3)8 (–15, 27)–6 (–30, 13)3.7 (3.0, 4.6)3.6 (2.6, 4.8)4.6 (3.5, 6.2)
All-cause pneumonia
 Age/risk profile
  18–49 years
   Healthy44 (43, 44)39 (38, 40)35 (35, 36)11 (8, 13)19 (16, 21) ... ... ...
   At-risk238 (233, 243)218 (212, 224)207 (202, 212)9 (5, 12)13 (10, 16)5.5 (5.3, 5.6)5.6 (5.4, 5.8)5.8 (5.6, 6.0)
   High-risk730 (710, 750)704 (681, 727)701 (681, 721)4 (–1, 8)4 (0, 8)16.8 (16.2, 17.3)18.1 (17.4, 18.8)19.7 (19.1, 20.5)
  50–64 years
   Healthy99 (98, 101)90 (89, 92)88 (87, 90)9 (6, 11)11 (9, 13) ... ... ...
   At-risk471 (465, 478)434 (427, 442)429 (423, 435)8 (6, 10)9 (7, 11)4.7 (4.7, 4.8)4.8 (4.7, 4.9)4.9 (4.7, 5.0)
   High-risk1278 (1260, 1297)1208 (1187, 1229)1226 (1207, 1244)6 (3, 8)4 (2, 6)12.9 (12.6, 13.2)13.3 (13.0, 13.7)13.9 (13.5, 14.2)
  65–74 years
   Healthy220 (215, 226)204 (197, 211)191 (185, 197)8 (3, 12)13 (10, 17) ... ... ...
   At-risk979 (964, 995)905 (887, 923)941 (925, 957)8 (5, 10)4 (2, 6)4.4 (4.3, 4.6)4.4 (4.3, 4.6)4.9 (4.8, 5.1)
   High-risk2081 (2046, 2118)2005 (1962, 2049)2124 (2087, 2162)4 (1, 6)–2 (–5, 0)9.4 (9.1, 9.8)9.8 (9.4, 10.3)11.1 (10.7, 11.5)
  ≥75 years
   Healthy880 (867, 895)918 (899, 938)957 (938, 975)–4 (–7, –2)–9 (–11, –6) ... ... ...
   At-risk2536 (2512, 2561)2592 (2560, 2624)2745 (2717, 2774)–2 (–4, –1)–8 (–10, –7)2.9 (2.8, 2.9)2.8 (2.8, 2.9)2.9 (2.8, 2.9)
   High-risk3511 (3470, 3554)3676 (3623, 3730)3992 (3944, 4040)–5 (–7, –3)–14 (–16, –12)4.0 (3.9, 4.1)4.0 (3.9, 4.1)4.2 (4.1, 4.3)

Abbreviation: CI, confidence interval.

Rates and Rate Ratios for Invasive Pneumococcal Disease and All-cause Pneumonia Requiring Hospitalization, by Age and Risk Profile Abbreviation: CI, confidence interval. Pneumococcal disease rates generally declined from the pre-PCV13 period to the peri-PCV13 period to the post-PCV13 period for adults aged <75 years and across risk groups. However, the reduction in disease incidence was generally attenuated with increasing age and those with comorbidities. For example, between the pre-PCV13 and post-PCV13 periods, the rate of all-cause hospitalized pneumonia declined by 19% among healthy adults aged 18–49 years, declined by 13% among healthy adults aged 65–74 years, and increased by 2% among high-risk adults aged 65–74 years. Among adults aged ≥75 years, incidence of all-cause pneumonia requiring hospitalization increased from the pre-PCV13 period to the post-PCV13 period. We also calculated absolute reductions in IPD and all-cause pneumonia hospitalizations by age and risk profile (Table 2). The greatest reduction in disease burden was observed in those aged <65 years who were healthy or had an at-risk (nonimmunocompromising) condition. In those with the greatest incidence of disease, older adults with high-risk (immunocompromising) conditions, little, if any, reduction in the numbers of IPD or all-cause pneumonia events was observed.
Table 2.

Absolute Reduction in Number of Cases of Invasive Pneumococcal Disease and All-cause Pneumonia Requiring Hospitalization per Year, by Age and Risk Profile

Number of Person-years (in Millions) in 2015Decline in Rate per 100 000 Person-yearsAbsolute Reduction in Cases per Year
PercentAbsolute
Invasive pneumococcal disease
 Age/risk profile
  18–49 yearsa8.6460.757
   Healthy7.5470.538
   At-risk0.9351.110
   High-risk0.2324.18
  50–64 yearsa5.6281.269
   Healthy3.8341.037
   At-risk1.3151.115
   High-risk0.4204.117
  65–74 yearsa1.1292.629
   Healthy0.5331.37
   At-risk0.4263.112
   High-risk0.2215.69
  ≥75 yearsa0.860.43
   Healthy0.3151.13
   At-risk0.450.93
   High-risk0.2–6–1.7–3
All-cause pneumonia
 Age/risk profile
  18–49 yearsa8.61811.0952
   Healthy7.5198.1605
   At-risk0.91331.2288
   High-risk0.2429.059
  50–64 yearsa5.61021.51,205
   Healthy3.81110.8415
   At-risk1.3942.2567
   High-risk0.4452.7222
  65–74 yearsa1.1822.1244
   Healthy0.51329.6157
   At-risk0.4438.7157
   High-risk0.2–2–42.7–70
  ≥75 yearsa0.8–10–227.7–1,878
   Healthy0.3–9–76.2–210
   At-risk0.4–8–209.2–750
   High-risk0.2–14–480.6–918

aFor each age group, absolute reductions in cases per year were calculated by multiplying risk-specific absolute declines in rates and risk-specific numbers of person-years in 2015 and summing products across risk groups.

Absolute Reduction in Number of Cases of Invasive Pneumococcal Disease and All-cause Pneumonia Requiring Hospitalization per Year, by Age and Risk Profile aFor each age group, absolute reductions in cases per year were calculated by multiplying risk-specific absolute declines in rates and risk-specific numbers of person-years in 2015 and summing products across risk groups. Because the reduction in pneumococcal disease rates from the pre-PCV13 period to the post-PCV13 period was disproportionately lower (or the increase was disproportionately higher) among adults with at-risk or high-risk conditions, corresponding rate ratios comparing disease incidence among at-risk and high-risk persons to healthy persons generally increased from the pre-PCV13 period to the post-PCV13 period. For example, among adults aged 65–74 years with high-risk conditions, the relative rate of all-cause pneumonia was 9.4 (95% CI, 9.1–9.8) in the pre-PCV13 period vs 11.1 (95% CI, 10.7–11.5) in the post-PCV13 period. Among adults aged 65–74 years with at-risk conditions, corresponding rate ratios for all-cause pneumonia were 4.4 (95% CI, 4.3–4.6) and 4.9 (95% CI, 4.8–5.1). Although pneumococcal disease incidence decreased over time in virtually all age groups and among those with at-risk and high-risk conditions, the proportion of disease occurring in persons with at-risk and high-risk conditions increased (Figures 1 and 2, Supplementary Figure 4). For example, among persons aged 65–74 years, the proportion of all-cause pneumonia in persons with high-risk conditions increased from 38% to 42% during the study period; among persons aged ≥75 years, it increased from 32% to 37%. Over time, an increasing proportion of IPD occurred in persons with comorbid conditions regardless of age, resulting in increasing rate ratios comparing IPD rates in at-risk and high-risk persons to healthy persons from the pre- to post-PCV13 periods. The shifting burden of disease to older individuals and those with specified at-risk and high-risk conditions was comparable for IPD and pneumococcal pneumonia, although, in many cases, only nominal differences in rate ratios were observed.
Figure 1.

Distribution of episodes of invasive pneumococcal disease requiring hospitalization by risk profile in 2007–2010, 2011–2012, and 2013–2015, by age. Abbreviation: IPD, invasive pneumococcal disease.

Figure 2.

Distribution of episodes of all-cause pneumonia requiring hospitalization by risk profile in 2007–2010, 2011–2012, and 2013–2015, by age. Abbreviation: PNE, all-cause pneumonia.

Distribution of episodes of invasive pneumococcal disease requiring hospitalization by risk profile in 2007–2010, 2011–2012, and 2013–2015, by age. Abbreviation: IPD, invasive pneumococcal disease. Distribution of episodes of all-cause pneumonia requiring hospitalization by risk profile in 2007–2010, 2011–2012, and 2013–2015, by age. Abbreviation: PNE, all-cause pneumonia.

DISCUSSION

Using a retrospective design and 2 large healthcare claims repositories, we evaluated changes in rates of pneumococcal disease among US adults from 2007–2015 by age and risk profile to better understand the impact of PCV13. We detailed incidence rates of IPD, all-cause pneumonia, and pneumococcal pneumonia requiring hospitalization over a 9-year period. We evaluated IPD with the recognition that it represents the most objective endpoint in a claims database as it required a microbiologic confirmation and was therefore least susceptible to physician coding variations. We also evaluated hospitalized pneumonia, both all-cause and pneumococcal, as they represent the most frequent clinical syndrome due to the pneumococcus. We limited our analysis to hospitalized patients with pneumonia to focus attention on cases that are more likely due to pneumococcal disease. Our results were largely consistent across all 3 clinical syndromes. Pneumococcal disease rates demonstrated seasonal patterns with greatest incidence in winter months. Disease incidence declined following the replacement of PCV7 with PCV13 in 2010, and the effect increased with time (and vaccine uptake in the pediatric population) as incidence rates were further reduced (generally) in 2013–2015 compared to 2011–2012. Pneumococcal disease burden was higher among older vs younger adults and was higher for adults with “at-risk” and “high-risk” conditions compared to those without these conditions. Moreover, and most importantly, the decline in pneumococcal disease in adults varied by demographic and clinical profile and was attenuated among older adults and those with comorbidities. Similar observations with regard to age were reported by Simonsen (pneumonia) [13] and Bruce (IPD) [17] where significant indirect benefits were only observed in younger adults but not in older adults; however, an analysis by comorbid conditions was not performed. Thorrington observed a discord between IPD and hospitalized pneumonia where IPD declined across all age groups but less so in those aged ≥65 years; hospitalized pneumonia (organism unspecified) declined only in those aged <15 years and increased in older age groups. The increases were observed mainly in those in clinical risk groups, providing support for the differential effect we observed both by age and comorbidity status [18]. Despite recommendations for PCV13 immunization in adults with immunocompromising conditions (2012) and adults aged ≥65 years (2014), uptake in adults was still relatively small by the end of our study period (December 2015). The Centers for Medicare and Medicaid Services reported that only 22.9% of adults aged ≥65 years had received PCV13 [19]. With relatively low vaccine penetration in adults, the major influence on the declining adult disease burden most likely reflects an indirect effect following the universal immunization of children, including catch-up dosing through age 5 years. Our results demonstrate that the decline in pneumococcal disease was lower in older persons and those with comorbidity. This finding is consistent with our prior published data that individuals aged ≥65 years and those with comorbid conditions are at increased risk of disease compared to younger and otherwise healthy adults. The greater disease burden observed in older individuals and those with comorbid conditions is likely the result of waning host defense mechanisms. Despite a 95% decline in vaccine-type IPD in children and an 87% decline in adults following universal immunization of children [1], the overall reduction in pneumococcal disease in adults aged ≥65 years was only 58% [1] by 2015 (compared to 2000) compared to a 90% reduction in children aged <5 years. The discordant reductions may be a result of replacement disease, secular trends in nonvaccine serotypes in adults, or changing epidemiology of nonpneumococcal pathogens. McLaughlin and colleagues found that hospitalized pneumococcal pneumonia (as identified by Binax NOW and PCV13 serotype-specific urinary antigen detection) in adults aged ≥65 years in the post-PCV13 era was more likely to be due to a nonvaccine serotype than to a vaccine serotype, suggesting a dominant role for nonvaccine serotypes in this age cohort [20]. Since PCV13 uptake in adults during the time span covering our analysis was quite limited (approximately 23%), we do not believe that uptake could explain the decline in IPD and ACHP observed; therefore, the most plausible explanation is the indirect effect [19]. This is consistent with reports from Public Health England where replacement disease has been substantial in older adults (the United Kingdom does not vaccinate adults aged >65 years with PCV13) [21]. Further support for the strong indirect effect of PCV13 can be derived from the observation that the largest proportional and absolute reduction in IPD and ACHP events occurred in younger and healthier groups who do not fall within the ACIP recommendations for PCV13 and therefore do not achieve direct protection. Similarly in the United Kingdom, initial declines in overall IPD rates observed in adults aged ≥65 years since PCV13 introduction in children [22] have been reversed with no net change in overall IPD rates due to increased incidence of nonvaccine serotypes [21]. While healthcare claims databases provide information on large numbers of patients with specific diagnoses who receive care for specific conditions, several limitations from the use of such databases should be noted. Use of operational algorithms will undoubtedly result in misclassification of some patients who actually have the underlying conditions (ie, they will be designated as not having at-risk/high-risk conditions) as well as some patients who actually do not have the underlying conditions (ie, they will be designated as having at-risk/high-risk conditions) [23, 24]. Similarly, episodes of IPD and pneumonia may be misclassified somewhat due to the less than perfect sensitivity and specificity of our case-ascertainment algorithms. Episodes of pneumonia were identified using International Classification of Diseases, Ninth Edition, Clinical Modification diagnostic codes (which do not require X-ray or any other confirmation) and included cases without any X-ray confirmation as well as those with radiographic infiltrates of noninfectious origin. Unfortunately, it is not possible to undertake a formal evaluation, for example, via chart review or use of additional data sources (eg, electronic medical records), of the accuracy of these algorithms within the context of this study. Analyses may not have been adequately powered to compare rates of pneumococcal disease within age- and risk-specific subgroups, which may have resulted in only nominal differences. Another limitation of the study is the lack of knowledge about PCV13 and 23-valent pneumococcal polysaccharide vaccine (PPV23) uptake among healthy, at-risk, and high-risk individuals. Although potentially differential rates of uptake could impact disease reduction, published data show that uptake of PCV13 was low among Medicare eligible individuals and individuals with high-risk conditions, which suggests that direct protection in these cohorts does not significantly reduce disease during the study period [19]. Finally, adults with public health insurance and adults without health insurance are not represented in the study databases; caution should be used when generalizing study results to other populations and settings. In summary, the findings of this large observational study suggest that the switch to PCV13 was associated with large declines in IPD among all US adults irrespective of age and risk profile and with substantial decreases in ACHP in US adults except those aged ≥75 years. Moreover, we observed that older adults and those with comorbidities have the highest incidence of disease and appear to have benefited to a lesser extent, if at all, compared to their healthy counterparts. In the long term, we need new strategies such as expanded valency vaccines or modulation of the chronic inflammatory state associated with chronic disease and aging. In the short term, pneumococcal and influenza vaccinations are recommended for prevention, and uptake of both is below recommended levels for adults.

Supplementary Data

Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  21 in total

1.  The influence of chronic illnesses on the incidence of invasive pneumococcal disease in adults.

Authors:  Moe H Kyaw; Charles E Rose; Alicia M Fry; James A Singleton; Zack Moore; Elizabeth R Zell; Cynthia G Whitney
Journal:  J Infect Dis       Date:  2005-06-23       Impact factor: 5.226

2.  Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003-2009.

Authors:  Peter K Lindenauer; Tara Lagu; Meng-Shiou Shieh; Penelope S Pekow; Michael B Rothberg
Journal:  JAMA       Date:  2012-04-04       Impact factor: 56.272

3.  The effect of underlying clinical conditions on the risk of developing invasive pneumococcal disease in England.

Authors:  Albert Jan van Hoek; Nick Andrews; Pauline A Waight; Julia Stowe; Peter Gates; Robert George; Elizabeth Miller
Journal:  J Infect       Date:  2012-03-03       Impact factor: 6.072

4.  Changing epidemiology of invasive pneumococcal disease among older adults in the era of pediatric pneumococcal conjugate vaccine.

Authors:  Catherine A Lexau; Ruth Lynfield; Richard Danila; Tamara Pilishvili; Richard Facklam; Monica M Farley; Lee H Harrison; William Schaffner; Arthur Reingold; Nancy M Bennett; James Hadler; Paul R Cieslak; Cynthia G Whitney
Journal:  JAMA       Date:  2005-10-26       Impact factor: 56.272

5.  Sustained reductions in invasive pneumococcal disease in the era of conjugate vaccine.

Authors:  Tamara Pilishvili; Catherine Lexau; Monica M Farley; James Hadler; Lee H Harrison; Nancy M Bennett; Arthur Reingold; Ann Thomas; William Schaffner; Allen S Craig; Philip J Smith; Bernard W Beall; Cynthia G Whitney; Matthew R Moore
Journal:  J Infect Dis       Date:  2010-01-01       Impact factor: 5.226

6.  Incidence of pneumococcal disease due to non-pneumococcal conjugate vaccine (PCV7) serotypes in the United States during the era of widespread PCV7 vaccination, 1998-2004.

Authors:  Lauri A Hicks; Lee H Harrison; Brendan Flannery; James L Hadler; William Schaffner; Allen S Craig; Delois Jackson; Ann Thomas; Bernard Beall; Ruth Lynfield; Arthur Reingold; Monica M Farley; Cynthia G Whitney
Journal:  J Infect Dis       Date:  2007-10-04       Impact factor: 5.226

7.  Identifying individuals with physcian diagnosed COPD in health administrative databases.

Authors:  A S Gershon; C Wang; J Guan; J Vasilevska-Ristovska; L Cicutto; T To
Journal:  COPD       Date:  2009-10       Impact factor: 2.409

8.  National, state, and local area vaccination coverage among children aged 19-35 months--United States, 2007.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2008-09-05       Impact factor: 17.586

9.  Decline in pneumonia admissions after routine childhood immunisation with pneumococcal conjugate vaccine in the USA: a time-series analysis.

Authors:  Carlos G Grijalva; J Pekka Nuorti; Patrick G Arbogast; Stacey W Martin; Kathryn M Edwards; Marie R Griffin
Journal:  Lancet       Date:  2007-04-07       Impact factor: 79.321

10.  Prevention of rotavirus gastroenteritis among infants and children: recommendations of the Advisory Committee on Immunization Practices (ACIP).

Authors:  Margaret M Cortese; Umesh D Parashar
Journal:  MMWR Recomm Rep       Date:  2009-02-06
View more
  7 in total

Review 1.  Impact of pneumococcal conjugate vaccines on hospitalizations for pneumonia in the United States.

Authors:  Andrew D Wiese; Marie R Griffin; Carlos G Grijalva
Journal:  Expert Rev Vaccines       Date:  2019-03-20       Impact factor: 5.217

2.  Estimates of the Health and Economic Burden of Pneumococcal Infections Attributable to the 15-Valent Pneumococcal Conjugate Vaccine Serotypes in the USA.

Authors:  Kwame Owusu-Edusei; Arijita Deb; Kelly D Johnson
Journal:  Infect Dis Ther       Date:  2022-01-27

Review 3.  Trends in Adult and Elderly Vaccination: Focus on Vaccination Practices in Tunisia and Morocco.

Authors:  Redouane Abouqal; Maher Beji; Mohamed Chakroun; Kamal Marhoum El Filali; Jihane Rammaoui; Hela Zaghden
Journal:  Front Public Health       Date:  2022-07-01

Review 4.  The remarkable history of pneumococcal vaccination: an ongoing challenge.

Authors:  Daniel M Musher; Ronald Anderson; Charles Feldman
Journal:  Pneumonia (Nathan)       Date:  2022-09-25

Review 5.  Recent advances in the epidemiology and prevention of Streptococcus pneumoniae infections.

Authors:  Charles Feldman; Ronald Anderson
Journal:  F1000Res       Date:  2020-05-07

6.  Influence of Older Age and Other Risk Factors on Pneumonia Hospitalization in Switzerland in the Pneumococcal Vaccine Era.

Authors:  Werner C Albrich; Frank Rassouli; Frederike Waldeck; Christoph Berger; Florent Baty
Journal:  Front Med (Lausanne)       Date:  2019-12-05

7.  Age-stratified burden of pneumococcal community acquired pneumonia in hospitalised Canadian adults from 2010 to 2015.

Authors:  Jason LeBlanc; May ElSherif; Lingyun Ye; Donna MacKinnon-Cameron; Ardith Ambrose; Todd F Hatchette; Amanda Ls Lang; Hayley D Gillis; Irene Martin; Walter H Demczuk; Craig LaFerriere; Melissa K Andrew; Guy Boivin; William Bowie; Karen Green; Jennie Johnstone; Mark Loeb; Anne McCarthy; Allison McGeer; Makeda Semret; Sylvie Trottier; Louis Valiquette; Duncan Webster; Shelly A McNeil
Journal:  BMJ Open Respir Res       Date:  2020-03
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.