ORIGINAL INVESTIGATION. Defining the Population-Based Burden of Nosocomial Pneumococcal Bacteremia

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1 ORIGINAL INVESTIGATION Defining the Population-Based Burden of Nosocomial Pneumococcal Bacteremia Outi Lyytikäinen, MD, PhD; Peter Klemets, MD; Petri Ruutu, MD, PhD; Tarja Kaijalainen, PhD; Merja Rantala, DVM; Jukka Ollgren, MSc; J. Pekka Nuorti, MD, DSc Background: The characteristics, risk factors, and outcome of patients with nosocomial pneumococcal bacteremia (NPB) have not been described in large, population-based studies. Methods: All episodes of invasive pneumococcal infections reported by Finnish clinical microbiology laboratories (positive blood or cerebrospinal fluid culture) from January 1, 1995, through December 31, 2002, were linked to data in national health care registries and vital statistics to obtain information on the patient s preceding hospitalizations, comorbidities, and outcome of illness. Pneumococcal bacteremia was defined as nosocomial if the first positive blood culture was obtained more than 2 days after hospital admission, or if the patient had been hospitalized for more than 2 days within 7 days of the first positive blood culture. Results: Information on hospital admission was available for 4217 of 4357 persons (96.8%) with invasive pneumococcal infections. We identified 387 NPBs (9.7%) among 3973 pneumococcal bacteremias. Patients with NPB were older (median age, 67 years vs 52 years; P.001) and were more likely to have at least 1 high-risk condition (other than age 65 years), for which 23-valent pneumococcal polysaccharide vaccine is recommended (59.2% vs 34.6%; P.001), compared with patients who had communityassociated pneumococcal bacteremias. The case fatality proportion at 28 days was higher in patients with NPB than in those with community-associated pneumococcal bacteremias (23.8% vs 10.8%; P.001). Pneumococcal serotypes included in 23-valent polysaccharide vaccine and 7-valent conjugate vaccine caused 71.5% and 46.1% of NPBs, respectively. Conclusions: A substantial proportion of pneumococcal bacteremias are health care associated. The high prevalence of conditions for which pneumococcal polysaccharide vaccine is recommended provides opportunities for strengthening prevention efforts in these patients at high risk of illness and death. Arch Intern Med. 2007;167(15): Author Affiliations: Department of Infectious Disease Epidemiology, National Public Health Institute, Helsinki, Finland (Drs Lyytikäinen, Klemets, Ruutu, and Nuorti and Mr Ollgren); Laboratory for Chlamydia and Respiratory Tract Bacteria, National Public Health Institute, Oulu, Finland (Dr Kaijalainen); and Antimicrobial Research Laboratory, National Public Health Institute, Turku, Finland (Dr Rantala). Dr Nuorti is now with the Respiratory Diseases Branch, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia. STREPTOCOCCUS PNEUMONIAE predominantly causes community-acquired respiratory tract, central nervous system, and bloodstream infections, but its role in health care associated infections has not been well defined. 1,2 Institutional outbreaks of multidrug-resistant S pneumoniae have been reported, and the prevalence of antimicrobial-resistant strains may be higher in older adults living in long-term care facilities. 3-6 Invasive pneumococcal disease is an important cause of illness and death in older adults living in long-term care facilities, emphasizing the need for better prevention efforts through immunization. 7 The epidemiology of nosocomial pneumococcal bacteremia (NPB) has previously been studied primarily in single hospitals, which may not be representative of all health care facilities serving the population No national, population-based studies have compared the rates, patient characteristics, risk factors, and outcome of NPB with those of communityassociated pneumococcal bacteremia (CAPB). We analyzed data on all episodes of invasive pneumococcal infections (IPI) identified by Finnish microbiology laboratories performing blood and cerebrospinal fluid (CSF) cultures and reporting isolations of S pneumoniae from blood or CSF during 1995 through To determine the proportion of pneumococcal infections that were health care associated, we identified preceding hospitalizations for all persons with pneumococcal bacteremias. Surveillance data were linked to Finnish population-based health care registries to determine the incidence, preexisting comorbid conditions, serotype distribution, and outcome of illness in patients with NPB and to compare these characteristics with those of patients who had CAPB. 1635

2 METHODS SURVEILLANCE In Finland (population, 5.2 million), the National Health Care System is organized into 20 geographically and administratively defined health care districts. Five university hospitals provide tertiary care services and have catchment populations ranging from 0.71 million to 1.67 million. All Finnish clinical microbiology laboratories report all bacterial isolations from blood and CSF, including S pneumoniae, to the National Infectious Disease Register (NIDR). Most laboratory reporting is done electronically. With each notification, the following information is transmitted: date and type of specimen, date of birth, sex, and place of treatment. With this information and a time interval of 3 months, possible multiple positive culture results or notifications of the same person are merged as a single case. STUDY DESIGN AND DEFINITIONS A case of IPI was defined as isolation of S pneumoniae from blood and/or CSF from January 1, 1995, through December 31, Of the total of 4611 IPI episodes identified, only the first episode for each case patient was included in the analysis (n=4357): 4106 cases were pneumococcal bacteremias, defined as isolation of S pneumoniae from blood only, and 251 cases were pneumococcal meningitis, defined as isolation of S pneumoniae from CSF with or without pneumococcal bacteremia within 7 days. Data on the hospitalizations of patients with IPI within 7 days before the first positive blood culture specimen for S pneumoniae were retrieved from the National Hospital Discharge Registry (HILMO) by using the case patient s national identity code for database linkage. This registry contains comprehensive health care records from all hospitals and municipal health centers, including outpatient surgery. Each HILMO record includes patient identifying information, admission and discharge dates, health care provider, type of service, medical specialty, the place (home or institution) from which the patient was transferred to the facility, and data on surgical procedures and discharge diagnoses. Data are coded according to the International Classification of Diseases (ICD), Ninth Revision or 10th Revision (from 1996 onward). Information on hospitalizations was available for 4217 (96.8%) of case patients with IPI, of whom 3973 had bacteremias. Pneumococcal bacteremia was defined as nosocomial if the first positive blood culture was obtained more than 2 days after admission, or if the patient had been hospitalized for more than 2 days within 7 days before the first positive blood culture. COMORBIDITIES AND OUTCOME To obtain information on comorbidities and underlying conditions for patients with IPI, we linked our database to national population-based health care registries by using the national identity code: the Cancer Registry (diagnosis of hematologic and nonhematologic malignant neoplasm within 1 year before the first positive specimen date), National Infectious Disease Register (human immunodeficiency virus [HIV] infection), the National Social Insurance Institution, and HILMO. Presence of the following chronic underlying diseases was defined as a National Social Insurance Institution record indicating an entitlement for special reimbursement on medications for these conditions: diabetes mellitus, chronic pulmonary disease (chronic obstructive pulmonary disease and asthma), congenital or acquired immunodeficiency, rheumatic and other autoimmune diseases requiring immunosuppressive therapy, solid organ and bone marrow transplantation, cardiac failure, and renal failure. Alcohol-related diseases, chronic liver diseases, diseases of the spleen, and CSF leak were defined as records in HILMO with 1 or more ICD-9 or ICD-10 coded discharge diagnoses within 1 year before the first positive specimen date (codes available at The case patients vital status at 7, 28, and 90 days after the first positive culture of S pneumoniae was determined from the National Population Information System by use of the national identity codes. Research use of data from population-based registries was authorized by the Ministry of Social Affairs and Health, the Finnish Data Protection Authority, and the National Research and Development Center for Welfare and Health. SEROTYPING AND ANTIMICROBIAL SUSCEPTIBILITY Streptococcus pneumoniae isolates sent to the reference laboratories at the National Public Health Institute as a part of national surveillance during 1995 through 2002 were serotyped by means of pneumococcal antiserum, and antimicrobial susceptibility testing was performed by Clinical Laboratory Standards Institute methods, as described previously. 17,18 RATE CALCULATIONS AND STATISTICAL ANALYSIS We calculated average annualized incidence rates during the surveillance period by using population data from Statistics Finland and the total number of patient-days from HILMO during 1995 through 2002 as denominators. The 2 test or Fisher exact test was used to assess statistical significance for categorical variables and the Mann-Whitney test for continuous variables. P.05 was considered statistically significant. Relative risks and 95% confidence intervals were calculated to compare patient and disease characteristics between NPBs and CAPBs; the relative risks were adjusted by multivariate logarithmic binomial regression. Univariate and multivariate logistic regression were used to assess the association of patient and disease characteristics with the outcome of death within 28 days (all-cause mortality). To estimate the hazard ratio of progression to death while adjusting for covariates, we used the Cox proportional hazards regression model in which age was treated as a continuous variable. Data were analyzed by using SPSS for Windows version 14.0 (SPSS Inc, Chicago, Illinois) and Stata, version 9.0 (StataCorp, College Station, Texas). RESULTS During the 8-year study period, 387 patients with NPB were identified (43-53 cases/y), representing approximately 10% of the 3973 hospitalized pneumococcal bacteremia cases (range by year, 7.5%-13.9%). The average annualized NPB incidence rate was 0.9 cases per population (range by year, ; range by tertiary care region, ) and 0.66 cases per patient-days (range by year, ; range by tertiary care region, ); the overall annualized CAPB incidence was 9.9 per population (range by year, ). Among patients with NPB, the positive blood culture was obtained more than 2 days after hospital admission in 266 cases (68.7%). The remaining 121 patients (31.3%) had been hospitalized for more than 2 days within 7 days of the culture or had been admitted directly from another health care institution. Among the 266 cases, the median time from admission to the index blood culture 1636

3 Table 1. Characteristics of Patients With Nosocomial and Community-Associated Pneumococcal Bacteremia, Finland, Characteristic Nosocomial Pneumococcal Bacteremia (n = 387) No. (%) of Patients Community-Associated Pneumococcal Bacteremia (n = 3586) RR (95% CI) P Value Adjusted RR (95% CI) Age group, y (5.2) 599 (16.7) 1 [Reference] (39.3) 1859 (51.8) 2.34 ( ) ( ) (55.6) 1128 (31.5) 4.95 ( ) ( ) Sex Male 241 (62.3) 2081 (58.0) 1.17 ( ) ( ) Female 146 (37.7) 1505 (42.0) 1 [Reference] Underlying condition a Chronic pulmonary disease 67 (17.3) 405 (11.3) 1.55 ( ) ( ) Cardiac failure 56 (14.5) 288 (8.0) 1.78 ( ).001 Diabetes mellitus 45 (11.6) 272 (7.6) 1.52 ( ).007 Immunodeficiency or rheumatic diseases 38 (9.8) 213 (5.9) 1.61 ( ).004 Nonhematologic malignant neoplasm 37 (9.6) 64 (1.8) 4.05 ( ) ( ) Alcohol-related disease 33 (8.5) 209 (5.8) 1.44 ( ) ( ) Hematologic malignant neoplasm 26 (6.7) 29 (0.8) 5.13 ( ) ( ) Chronic liver disease 5 (1.3) 14 (0.4) 2.72 ( ) ( ) Organ/bone marrow transplantation 4 (1.0) 28 (0.8) 1.29 ( ).55 Chronic renal failure 2 (0.5) 21 (0.6) 0.89 ( ).99 1 Underlying condition 229 (59.2) 1241 (34.6) 2.31 ( ).001 Not adjusted Abbreviations: CI, confidence interval; RR, relative risk. a Patients may have had more than 1 underlying condition. was 8 days (range, days); 85.0% of index blood cultures were obtained within 28 days. Many characteristics of patients with NPB differed from those of CAPB in univariate analysis (Table 1). Patients with NPB were significantly older than patients with CAPB (median age, 67 vs 52 years; P.001). More than half of the patients with NPB were 65 years or older, and only 5.2% were younger than 16 years. Of patients with NPB, 229 (59.2%) had at least 1 underlying condition (other than age 65 years) for which 23-valent pneumococcal polysaccharide vaccine (PPV23) is currently recommended in Finland, 19 compared with 1241 of 3586 patients (34.6%) with CAPB (P.001). This difference was due to significantly greater proportions of chronic pulmonary disease, cardiac failure, diabetes mellitus, alcohol-related disease, nonhematologic and hematologic malignant neoplasms, and immunodeficiency or rheumatic diseases among patients with NPB (Table 1). Of the patients with NPB, none was asplenic or had a CSF leak or known HIV infection. Among 152 patients with NPB who were aged 16 to 64 years, 113 (74.3%) had at least 1 underlying condition for which PPV23 is recommended. Characteristics that were independently associated with higher risk of NPB in the logarithmic binomial regression model included male sex, increasing age, malignant neoplasms, chronic liver disease, alcoholrelated disease, and chronic pulmonary disease (Table 1). There were no significant differences between the 266 hospital-associated and 121 health care associated NPB cases by age or prevalence of underlying conditions (data not shown). During the 90 days after the first positive blood culture, 121 (31.3%) of patients with NPB died. Of the Cumulative % Surviving No. at Risk: Community associated Nosocomial Time, d Community associated Nosocomial deaths, 67 (55.4%) occurred within 7 days and 92 (76.0%) within 28 days; 88 (72.7%) were among patients 65 years or older. The overall case fatality proportions at 7, 28, and 90 days were significantly higher in patients with NPB than CAPB (17.3% vs 7.6%, 23.8% vs 10.8%, and 31.3% vs 13.4%, respectively; P.001 for all comparisons). The Figure illustrates the Kaplan- Meier survival plots for NPB and CAPB. Case fatality proportions were nearly 1.5 times higher in males than in females and almost twice as high among the elderly (those 65 years) than in patients aged 16 to 64 years Figure. Cumulative proportion of patients surviving according to nosocomial and community-associated pneumococcal bacteremia status. 1637

4 Table 2. Characteristics Associated With Death in Patients With Nosocomial Pneumococcal Bacteremia, Finland, No. of Deaths (Case Fatality Proportion, %) Characteristic At7d At28d At90d Age group, y (11.8) 23 (15.1) 33 (21.7) (22.8) 69 (32.1) 88 (40.9) All 67 (17.3) 92 (23.8) 121 (31.3) Sex Male 47 (19.5) 65 (27.0) 86 (35.7) Female 20 (13.7) 27 (18.5) 35 (24.0) Underlying condition a Chronic pulmonary disease 14 (20.9) 21 (31.3) 24 (35.8) Cardiac failure 15 (26.8) 20 (35.7) 25 (44.6) Diabetes mellitus 9 (20.0) 13 (28.9) 16 (35.6) Immunodeficiency/rheumatic 10 (26.3) 14 (36.8) 16 (42.1) diseases Nonhematologic malignant 11 (29.7) 13 (35.1) 19 (51.4) neoplasm Alcohol-related disease 9 (27.3) 11 (33.3) 14 (42.4) Hematologic malignant 7 (26.9) 8 (30.8) 11 (42.3) neoplasm Chronic liver disease 1 (20.0) 1 (20.0) 2 (40.0) Organ/bone marrow transplantation Chronic renal failure Underlying condition 48 (21.0) 66 (28.8) 85 (37.1) a Patients may have had more than 1 underlying condition. (Table 2). None of the children with NPB died. The case fatality proportions were highest among patients with nonhematologic malignant neoplasms, cardiac failure, alcohol-related diseases, hematologic malignant neoplasms, and immunodeficiency or rheumatic diseases (Table 2). Factors significantly associated with death within 28 days after positive blood culture (allcause mortality) in univariate analyses were increasing age and cardiac failure (Table 3). After adjustment for age and sex in a multivariate logistic regression model, patient characteristics that independently predicted death within 28 days included immunodeficiency or rheumatic diseases (P=.004) and alcohol-related diseases (P=.01). We also evaluated the outcome of allcause mortality after NPB by using a Cox proportional hazards regression model. In addition to the variables identified in multivariate logistic regression, nonhematologic and hematologic malignant neoplasms independently increased the risk (hazard) of death (Table 4). A total of 319 S pneumoniae isolates from the 387 patients with NPB (82.4%) were available for serotyping. The most common serotypes/groups were 6 (13.2%), 14 (11.0%), 19 (9.4%), 4 (9.1%), and 23 (8.5%). Of the pneumococcal isolates, 228 (71.5%) were serotypes included in PPV23, and 147 (46.1%) were included in the 7-valent pneumococcal conjugate vaccine. Antimicrobial susceptibility testing results were available for 138 (35.7%) nosocomial S pneumoniae isolates: 6 isolates (4.3%) were resistant to erythromycin and 5 (3.6%) were intermediately resistant to penicillin; none of the patients with a nonsusceptible isolate died within 28 days. COMMENT Data from our national, population-based study indicate that about 10% of all pneumococcal bacteremias were health care associated and that mortality among patients who had NPB was more than twice as high as among patients with CAPB. Most of the patients with nosocomial disease had underlying conditions for which PPV23 is recommended, emphasizing the importance of strengthening prevention efforts in these patient groups. This study provides a comprehensive evaluation of the burden of NPB, highlighting how its characteristics differ from those of CAPB. Our estimates from national laboratory-based surveillance are representative of the entire population of Finland. The standard case definition minimized selection bias due to different case mixes and provides accurate rates for comparison over time and place. The registry-based design enabled the use of accurate denominators for NPB rates (ie, total hospital patient-days) and differentiation between traditional nosocomial and health care associated cases. Although there was little annual variation in rates of NPB per population and patient-days during the study period, rates varied in different tertiary care regions, possibly reflecting small numbers of cases or local disease clusters. The proportion of pneumococcal bacteremias among hospitalized patients that were nosocomial varied from 8% to 14% annually. This proportion is smaller than that previously reported from Spain (25%-41%) 9,11 and the United States (27%-59%) 8,10,12 but similar to that reported in France (10%) 15 and recent reports from Spain (10%-14%). 13,14,16 The reasons for these differences may be related to differences in study populations, small numbers of cases from individual hospitals, 8-14 and the case definitions used, but also to admission criteria and differences in blood culture sampling practices from patients with pneumonia between those who are hospitalized and outpatients. The definitions used for nosocomial acquisition of disease have also varied in previous reports; some included episodes that manifested 48 hours or more after hospitalization, 14 while others used a longer, 72-hour cutoff point. 12,15,16 In addition to the episodes in which the index blood culture was obtained more than 2 days after hospitalization, our analysis included those that may have been associated with previous admission in the same or another health care setting within a 7-day time window. These potentially health care associated infections accounted for about one-third of NPBs, and the patient characteristics in the 2 groups were similar. The median period of hospitalization before the index blood culture, 8 days, is consistent with previous reports, indicating that NPB tends to occur after a relatively prolonged hospitalization. 14,16 Patients with NPB had significantly more chronic pulmonary diseases, cardiac failure, diabetes mellitus, alcoholrelated disease, malignant neoplasms, and immunodeficiency or rheumatic disease than did patients with CAPB. No HIV-infected patients with NPB were identified, re- 1638

5 Table 3. Predictors of Outcome at 28 Days After Onset of Nosocomial Pneumococcal Bacteremia, Finland, Characteristic No. (%) of Patients Died (n = 92) Survived (n = 295) Univariate Analysis, P Value Multivariate Logistic Regression, Odds Ratio (95% CI) Median age, y (range) 74 (33-97) 65 (0-97) ( ) a Male sex 65 (70.7) 176 (59.7) ( ) Underlying condition b Chronic pulmonary disease 21 (22.8) 46 (15.6) Cardiac failure 20 (21.7) 36 (12.2) Diabetes mellitus 13 (14.1) 32 (10.8) Immunodeficiency or rheumatic diseases 14 (15.2) 24 (8.1) ( ) Nonhematologic malignant neoplasm 13 (14.1) 24 (8.1) Alcohol-related disease 11 (12.0) 22 (7.5) ( ) Hematologic malignant neoplasm 8 (8.7) 18 (6.1) Chronic liver disease 1 (1.1) 4 (1.4) Organ/bone marrow transplantation 0 4 (1.4) Chronic renal failure 0 2 (0.6) Underlying condition 66 (71.7) 163 (55.3).002 Not included in model Abbreviations: CI, confidence interval; ellipses, not applicable. a Age treated as a continuous variable; the percentage change in risk is calculated for each 10-year interval. b Patients may have had more than 1 underlying condition. Table 4. Cox Proportional Hazards Regression Model of Patient Characteristics Significantly Predicting Death Predictor Hazard Ratio (95% CI) P Value Age a 1.48 ( ).001 Male sex 1.53 ( ).001 Immunodeficiency or rheumatic diseases 1.89 ( ).001 Alcohol-related disease 1.90 ( ).006 Hematologic malignant neoplasm 2.18 ( ).001 Nonhematologic malignant neoplasm 2.28 ( ).001 Abbreviation: CI, confidence interval. a Age treated as a continuous variable; the percentage change in risk is calculated for each 10-year interval. flecting the low prevalence of HIV infections in Finland (10-16 per population in ). 20 Nosocomial pneumococcal bacteremia has been previously associated with severe underlying conditions, including neoplasia, chronic obstructive pulmonary disease, heart failure, and cirrhosis. 16 A case-control study in elderly veterans found that diagnoses of respiratory or hematologic malignant neoplasm, anemia, chronic obstructive pulmonary disease, and coronary artery disease on admission to the hospital were independent clinical predictors of NPB. 12 In previous reports, definitions used for assessing mortality associated with NPB have been variable: some evaluated all-cause (or crude) mortality, 12,14-16 while others evaluated only mortality considered directly attributable to bacteremia. 13 Analysis of vital status at discharge (in-hospital mortality), however, can be influenced by the length of stay and differences in the health care delivery system. By using data from national vital statistics, we were able to accurately determine the all-cause mortality within 90 days of the first blood culture positive for S pneumoniae, providing a more comprehensive assessment of this outcome. Although we were unable to distinguish between pneumococcal bacteremiarelated and unrelated mortality, one-quarter of patients with NPB died within the first month and almost onethird had died at 3 months. The all-cause mortality was significantly higher in NPB than in CAPB. The risk of death increased with age, being 34% among persons 65 years or older and nearly 1.5 times higher in males than in females. Our time-dependent model showed that, in addition to age, male sex, and malignant neoplasms, risk of death was independently associated with immunodeficiency or rheumatic diseases and alcohol-related diseases. Previous studies on NPB have reported much higher case fatality proportions, ranging from 38% to 76%. 8,9,13 This may be due to differences in study populations, as some included only adults 12,13,16 or elderly men. 10 In some studies, up to 57% of the patients with NPB had malignant neoplasms, 9 likely reflecting a selection bias in hospital-based case ascertainment. Our data suggest that, in studies evaluating the clinical outcome of pneumococcal infections, mortality rates should be stratified according to nosocomial and community-associated cases. Some limitations should be considered in interpreting our results. First, because of the registry-based study design, our analysis of mortality lacked chart review data to assess severity of illness and admission to intensive care. 13,16 Second, information on some of the patients comorbid conditions (alcohol-related diseases, chronic liver diseases, disease of the spleen, and CSF leaks) was based on ICD codes and could not be verified by chart reviews. Although the diagnostic codes in the National Social Insurance Institution s database are based on standard criteria, the ICD codes in hospital discharge data may be incomplete and could be subject to misclassification. Also, we did not have information on ongoing treatments for malignant neoplasms and therefore considered only malignant neoplasms diagnosed within 1 year of the culture date. Third, when classifying NPB cases as hospital acquired or health care associated, some cases in ambulatory care may have been misclassified, and it 1639

6 was not possible to evaluate the presence of symptoms of respiratory illness at admission. Fourth, we did not have information on receipt of pneumococcal polysaccharide vaccination and cigarette smoking status of case patients, as some of the associations we found with higher risk of NPB (eg, alcohol-related diseases and chronic obstructive pulmonary disease) could be confounded by smoking. 21 However, the coverage of 23-valent polysaccharide vaccination among elderly persons and persons with high-risk conditions in Finland is very low (3%), and our data may be considered to represent a prepneumococcal vaccination baseline. 22 More than 70% of the serotypes of the pneumococcal isolates from patients with NPB were those included in the PPV23, and 74.3% of the patients with NPB aged 16 to 64 years had at least 1 underlying condition for which PPV23 is currently recommended. Together with the high mortality, these data warrant increased efforts to improve the use of the PPV23 in persons with chronic illness in Finland. However, some of these persons may not respond well to polysaccharide vaccine. 23 The routine 7-valent pneumococcal conjugate vaccine program in children in the United States has also substantially benefited adults through herd immunity, but persons with underlying illness may benefit less than healthier ones from the indirect effects of the vaccine. 24 Because a substantial proportion of NPBs in Finland were caused by conjugate vaccine serotypes, a childhood immunization program might also have the potential to reduce NPB through indirect effects. Targeting persons with chronic conditions for administration of polysaccharide vaccine remains an established strategy for reaching those at highest risk for invasive infection. Our study offers a comprehensive assessment of disease burden, risk factors, and outcome of NPB in a well-defined, representative population. This information may be useful for policymakers in Finland and other industrialized countries who are assessing the benefits, cost-effectiveness, and appropriate target groups to strengthen immunization programs. Accepted for Publication: April 9, Correspondence: Outi Lyytikäinen, MD, PhD, Department of Infectious Disease Epidemiology, National Public Health Institute, Mannerheimintie 166, FIN Helsinki, Finland (outi.lyytikainen@ktl.fi). Financial Disclosure: None reported. Author Contributions: Study concept and design: Lyytikäinen and Nuorti. Acquisition of data: Klemets and Kaijalainen. Analysis and interpretation of data: Lyytikäinen, Klemets, Ruutu, Kaijalainen, Rantala, Ollgren, and Nuorti. Drafting of the manuscript: Lyytikäinen, and Nuorti. Critical revision of the manuscript for important intellectual content: Klemets, Ruutu, Kaijalainen, Rantala, Ollgren, and Nuorti. Statistical analysis: Lyytikäinen, Ollgren, and Nuorti. Administrative, technical, and material support: Klemets, Ruutu, Kaijalainen, and Ollgren. Study supervision: Nuorti. Previous Presentations: This study was presented in part at the 15th Annual Scientific Meeting of the Society for Healthcare Epidemiology of America; April 9-12, 2005; Los Angeles, California (abstract 155). REFERENCES 1. Paradisi F, Corti G. Is Streptococcus pneumoniae a nosocomially acquired pathogen? Infect Control Hosp Epidemiol. 1998;19(8): Paradisi F, Corti G, Cinelli R. Streptococcus pneumoniae as an agent of nosocomial infection: treatment in the era of penicillin-resistant strains. Clin Microbiol Infect. 2001;7(suppl 4): Nuorti JP, Butler JC, Crutcher JM, et al. An outbreak of multidrug-resistant pneumococcal pneumonia and bacteremia among unvaccinated nursing home residents. N Engl J Med. 1998;338(26): Gleich S, Morad Y, Echague R, et al. Streptococcus pneumoniae serotype 4 outbreak in a home for the aged: report and review of recent outbreaks. Infect Control Hosp Epidemiol. 2000;21(11): Carter RJ, Sorenson G, Heffernan R, et al; MDRSP Working Group. Failure to control an outbreak of multidrug-resistant Streptococcus pneumoniae in a longterm-care facility: emergence and ongoing transmission. Infect Control Hosp Epidemiol. 2005;26(3): Fry AM, Udeagu CCN, Soriano-Gabarro M, et al. Persistence of fluoroquinoloneresistant, multidrug-resistant Streptococcus pneumoniae in a long-term-care facility: efforts to reduce intrafacility transmission. Infect Control Hosp Epidemiol. 2005;26(3): Kupronis BA, Richards CL, Whitney CG; Active Bacterial Core Surveillance Team. Invasive pneumococcal disease in older adults residing in long-term care facilities and in the community. J Am Geriatr Soc. 2003;51(11): Mylotte JM, Beam TR Jr. Comparison of community-acquired and nosocomial pneumococcal bacteremia. Am Rev Respir Dis. 1981;123(3): Alvarez S, Guarderas J, Shell CG, Holtsclaw-Berk S, Berk SL. Nosocomial pneumococcal bacteremia [published correction appears in Arch Intern Med. 1988;148(6):1279]. Arch Intern Med. 1986;146(8): Chang JI, Mylotte JM. Pneumococcal bacteremia: update from an adult hospital with a high rate of nosocomial cases. J Am Geriatr Soc. 1987;35(8): García-Leoni ME, Cercenado E, Rodeno P, Bernaldo de Quiros JC, Martinez- Hernandez D, Bouza E. Susceptibility of Streptococcus pneumoniae to penicillin: a prospective microbiological and clinical study. Clin Infect Dis. 1992;14 (2): Rubins JB, Cheung S, Carlson P, Bloomfield Rubins H, Janoff EN. Identification of clinical risk factors for nosocomial pneumococcal bacteremia. Clin Infect Dis. 1999;29(1): Fariñas-Alvarez C, Fariñas MC, García-Palomo JD, et al. Prognostic factors for pneumococcal bacteremia in a university hospital. Eur J Clin Microbiol Infect Dis. 2000;19(10): Canet JJ, Juan N, Xercavins M, Freixas N, Garau J. Hospital-acquired pneumococcal bacteremia. Clin Infect Dis. 2002;35(6): Maugein J, Guillemot D, Dupont MJ, et al. Clinical and microbiological epidemiology of Streptococcus pneumoniae bacteremia in eight French counties. Clin Microbiol Infect. 2003;9(4): Bouza E, Pintado V, Rivera S, et al; Spanish Pneumococcal Infection Study Network (G03/103). Nosocomial bloodstream infections caused by Streptococcus pneumoniae. Clin Microbiol Infect. 2005;11(11): Kilpi T, Herva E, Kaijalainen T, Syrjanen R, Takala AK. Bacteriology of acute otitis media in a cohort of Finnish children followed for the first two years of life. Pediatr Infect Dis J. 2001;20(7): Pihlajamäki M, Jalava J, Huovinen P, Kotilainen P; Finnish Study Group for Antimicrobial Resistance. Antimicrobial resistance of invasive pneumococci in Finland in Antimicrob Agents Chemother. 2003;47(6): National Public Health Institute. Rokottajan käsikirja 2005 [Vaccinator s Manual 2005]. Helsinki, Finland: Kustannus Oy Duodecim; /suomi/julkaisut/oppaat_ja_kirjat/rokottajan_kasikirja/taulukot/taulukko_30/. Accessed April 26, National Public Health Institute. Infectious diseases in Finland http: // Accessed September 25, Nuorti JP, Butler JC, Farley MM, et al; Active Bacterial Core Surveillance Team. Cigarette smoking and invasive pneumococcal disease N Engl J Med. 2000; 342(10): Ruutu P, Kuusi M, Nuorti PJ, Koskinen S. Communicable diseases. In: Aromaa A, Koskinen S, eds. Health and Functional Capacity in Finland: Baseline Results of the Health 2000 Examination Survey. Helsinki, Finland: National Public Health Institute; Rubins JB, Alter M, Loch J, Janoff EN. Determination of antibody responses of elderly adults to all 23 capsular polysaccharides after pneumococcal vaccination. Infect Immun. 1999;67(11): Lexau CA, Lynfield R, Danila R, et al; Active Bacterial Core Surveillance Team. Changing epidemiology of invasive pneumococcal disease among older adults in the era of pediatric pneumococcal conjugate vaccine. JAMA. 2005;294(16):

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