ORIGINAL INVESTIGATION. A Population-Based Study in Olmsted County, Minnesota

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1 ORIGINAL INVESTIGATION Age- and Sex-Associated Trends in Bloodstream Infection A Population-Based Study in Olmsted County, Minnesota Daniel Z. Uslan, MD; Sarah J. Crane, MD; James M. Steckelberg, MD; Franklin R. Cockerill III, MD; Jennifer L. St. Sauver, PhD; Walter R. Wilson, MD; Larry M. Baddour, MD Background: Despite increasing concerns about antimicrobial resistance and emerging pathogens among blood culture isolates, contemporary population-based data on the age- and sex-specific incidence of bloodstream infections (BSIs) are limited. Methods: Retrospective, population-based, cohort study of all residents of Olmsted County, Minnesota, with a BSI between January 1, 23, and December 31, 25. The medical record linkage system of the Rochester Epidemiology Project and microbiology records were used to identify incident cases. Results: A total of 151 unique patients with positive blood culture results were identified; 41 (38.2%) were classified as contaminated. Of 65 patients with cultures deemed clinically relevant, the mean±sd age was 63.1±23.1 years, and 52.5% were male. The most common organisms identified were Escherichia coli (in 163 patients with BSIs [25.1%]) and Staphylococcus aureus (in 18 patients with BSIs [16.6%]). Nosocomial BSIs were more common in males than females (23.8% vs 13.9%; P=.2). The age-adjusted incidence rate of BSI was 156 per 1 person-years for females and 237 per 1 person-years for males (P.1), with an age- and sexadjusted rate of 189 per 1 person-years. Rates of BSI due to gram-positive cocci were 64 per 1 person-years for females and 133 per 1 person-years for males (P.1); gram-negative bacillus BSI rates (85/ 1 person-years for females and 79/1 personyears for males) were not significantly different between sexes (P=.79). The rate of S aureus BSI was 23 per 1 person-years for females and 46 per 1 person-years for males (P=.5). Conclusions: There are significant differences in the age and sex distribution of organisms among patients with BSIs. The incidence of BSI increases sharply with increasing age and is significantly higher in males, mainly because of nosocomial organisms, including S aureus. Arch Intern Med. 27;167: Author Affiliations: Divisions of Infectious Diseases (Drs Uslan, Steckelberg, Wilson, and Baddour) and Primary Care Internal Medicine (Dr Crane), Department of Medicine, Division of Microbiology, Department of Pathology (Dr Cockerill), and Department of Health Sciences Research (Dr St. Sauver), Mayo Clinic College of Medicine, Rochester, Minn. Dr Uslan is now with the Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, Calif. MORTALITY FROM BLOODstream infections (BSIs) remains high, with a case-fatality rate as high as 2% to 3%, despite significant advances in antimicrobial therapy and automated blood culture techniques. 1-3 Concerns about increasing antimicrobial resistance among blood isolates have been noted, especially due to organisms with limited available treatment options, such as extended-spectrum -lactamase producing gram-negative bacilli or methicillin-resistant Staphylococcus aureus. 4 Recent data suggest that rates of BSI due to S aureus have been increasing, 5,6 with the rate of nosocomial primary S aureus BSI more than doubling. 7 Previous European observations of BSIs from the 198s and 199s have estimated incidence rates of BSI to be between 76.5 and 153 per 1. 8,9 There has been speculation that as rates of BSI increase, complications of BSI, such as infective endocarditis (IE) 1 and vertebral osteomyelitis, 11 also will increase. 12 However, there have been minimal recent population-based data evaluating trends in BSI, and it is unclear which populations are at highest risk for BSI due to different organisms. Such data are necessary for targeting treatment and prevention efforts. We, therefore, conducted a retrospective, populationbased, cohort study to evaluate age- and sexassociated trends in the incidence of BSI in a geographically defined population. METHODS STUDY SETTING Olmsted County is located in southeastern Minnesota and has population characteristics similar to those of US non-hispanic whites. 13 The population according to the 2 census was There is a low prevalence of intravenous drug abuse. 14 The Rochester Epidemiology Project is a medical record linkage system that indexes medical records from all individu- 834

2 als seen by a health care provider and residing in Olmsted County. A single dossier exists for each patient, into which medical diagnoses, surgical interventions, and other key information from medical records are regularly abstracted and entered into computerized indexes using the International Classification of Diseases, Ninth Revision, Clinical Modification. 13,15 The Rochester Epidemiology Project provides access to all inpatient, outpatient, emergency department, and nursing home records of county residents, regardless of provider, allowing for accurate population-based incidence studies of disease causes and outcomes. 13 CASE ASCERTAINMENT Cases of BSI were identified via computerized databases from both microbiology laboratories in Olmsted County: Mayo Clinic and Olmsted Medical Center. All positive blood culture results identified between January 1, 23, and December 31, 25, were included. The BSIs were classified as nosocomial, health care associated, or community acquired. 16 The Mayo Clinic uses an automated blood culture system (BACTEC 924) and aerobic (Plus/1 Aerobic/F) and anaerobic (Lytic/1 Anaerobic/F) culture vials, and Olmsted Medical Center also uses an automated blood culture system (BACTEC 95) and aerobic (Standard/1 Aerobic/F) and anaerobic (Anaerobic/F) culture vials (BD Biosciences, San Jose, Calif). Blood cultures were identified using standard microbiology techniques according to the Clinical Laboratory Standards Institute. Both laboratories are certified by the College of American Pathologists. There were no significant changes in culture techniques during the study period. The medical records of all cases of BSI were manually reviewed by the primary investigator (D.Z.U.) to confirm the diagnosis and residency status. Any cases of BSI judged problematic were reviewed with an experienced infectious diseases investigator (L.M.B.). Nonresidency in Olmsted County at the time of BSI was an exclusion criterion. Patients were followed up from the date of BSI through their most recent health care encounter, as documented in the Rochester Epidemiology Project database. Given that contaminated blood cultures may represent up to half of all positive blood culture results, 17-2 we used the definition of contamination as previously described by Bekeris et al. 21 A blood culture was considered to be contaminated if 1 or more of the following were identified in only 1 bottle: coagulase-negative staphylococcal species, Propionibacterium acnes, Micrococcus species, viridans group streptococci, Corynebacterium species, or Bacillus species. DATA ANALYSIS Incidence rates of BSI were derived using cases of BSI as the numerator and assuming that the entire Olmsted County population between 23 and 25 was at risk of infection. The denominator was interpolated from the 2 Olmsted County census figures, using an annual projected population growth rate of 1.9% per year. Incidence rates were directly adjusted to the age distribution of the US white 2 population. 22 Only initial episodes of BSI were included as incident cases. For patients with multiple events, incidence rates were calculated based on the first event only. Deaths were confirmed via Minnesota electronic death certificate data, and 95% confidence intervals (CIs) around the point estimates were calculated assuming that incident cases followed a Poisson error distribution. Differences in means between multiple groups were tested with 1-way analysis of variance. Cox proportional hazards modeling was used to examine the association between organism and survival while adjusting for age and sex. The level of significance for all statistical tests was 2-sided, with.5. All analyses were conducted using computer software (JMP software, version 6..; SAS Institute Inc, Cary, NC). The institutional review boards of Mayo Clinic and Olmsted Medical Center approved the study. RESULTS A total of 151 unique patients with positive blood culture results between January 1, 23, and December 31, 25, were identified. Of these patients, 41 (38.2%) had positive blood culture results that met the definition of contamination. Of the contaminants, 286 (71.3%) were coagulase-negative staphylococci, 29 (7.2%) were Corynebacterium species, 18 (4.5%) were Micrococcus species, and 12 (3.%) were Propionibacterium acnes. A total of 65 patients had positive blood culture results that were deemed clinically relevant, and were included as incident cases. Multiple BSIs were noted in 29 patients (4.5%). The mean±sd age of the cases was 63.1±23.1 years, and 52.5% were male. Of the cases, 64 (9.8%) were nonwhite, reflecting the general demographic characteristics of southeastern Minnesota. A total of 188 cases (28.9%) occurred in patients older than 8 years. Causative organisms by epidemiologic category are shown in Table 1. The 2 most common causative organisms overall were Escherichia coli (163 BSIs [25.1%]) and S aureus (18 BSIs [16.6%]). Of the BSIs, 124 (19.1%) were nosocomial, 237 (36.5%) were health care associated, and 289 (44.5%) were community acquired. s were more likely to have nosocomial BSIs than females (Figure 1). s had 43 nosocomial BSIs (13.9%), 112 health care associated BSIs (36.2%), and 154 community-acquired BSIs (49.8%), compared with 81 nosocomial BSIs (23.8%), 125 health care associated BSIs (36.7%), and 135 communityacquired BSIs (39.6%) for males (P=.2). Age- and sex-specific incidence rates are shown in Table 2. The annual incidence of BSIs during the study period, age and sex adjusted to the US white 2 census, was 189 (95% CI, ) per 1 person-years. The age-adjusted incidence rates were 156 for females (95% CI, ) and 237 for males (95% CI, ) (P.1). The incidence rate of BSIs in the eldest patients ( 8 years) was 1455 (95% CI, ) per 1 person-years more than 3 times greater than the incidence rate among the next oldest age group (6-79 year olds). In addition, the incidence rate in males in this group (rate, 2149; 95% CI, ) was almost twice that of females (rate, 1143; 95% CI, ) (P.1). Incidence rates increased with age across both sexes, but males had substantially higher incidence rates in the older age groups ( 7 years) (Figure 2). To further investigate sex-associated differences in patients with BSIs, we compared rates of BSI due to grampositive cocci vs those due to gram-negative bacilli. There were 321 total gram-positive BSIs (49.8%), 281 gramnegative BSIs (43.6%), and 43 polymicrobial BSIs (6.7%). The mean age among those with polymicrobial BSIs (71.5 years; 95% CI, years) was greater than among those with gram-positive BSIs (61.8 years; 95% CI, years) or gram-negative BSIs (63.1 years; 95% CI, 835

3 Table 1. Rank Order of Microorganisms in 65 BSIs, 23 to 25, in Olmsted County, Minnesota Rank Total (N = 65) Nosocomial (n = 124) Health Care Associated (n = 237) Community Acquired (n = 289) 1 Escherichia coli S aureus E coli E coli 2 Staphylococcus aureus Coagulase-negative staphylococci S aureus S aureus 3 Coagulase-negative staphylococci E coli -Hemolytic streptococci Klebsiella species 4 Klebsiella species Enterococcus species Coagulase-negative staphylococci -Hemolytic streptococci 5 -Hemolytic streptococci Klebsiella species Klebsiella species Viridans group streptococci 6 Polymicrobial ( 2 organisms)* Pseudomonas species Polymicrobial S pneumoniae 7 Viridans group streptococci Candida species Enterococcus species Polymicrobial 8 Streptococcus pneumoniae Anaerobe Viridans group streptococci Coagulase-negative staphylococci 9 Enterococcus species Polymicrobial S pneumoniae Anaerobe 1 Anaerobe -Hemolytic streptococci Pseudomonas species Enterococcus species 11 Pseudomonas species Viridans group streptococci Anaerobe Pseudomonas species 12 Candida species S pneumoniae Candida species Candida species 13 Other Other Other Other Abbreviation: BSI, bloodstream infection. *Polymicrobial BSIs are counted with their respective organisms. Includes Citrobacter freundii, Enterobacter cloacae, Salmonella (nontyphi), Proteus species, Acinetobacter species, Haemophilus influenzae, Serratia marcescens, Moraxella species, Stenotrophomonas maltophilia, Prevotella species, Neisseria meningitidis, and Lactobacillus species (all 5 BSIs). % of BSIs CA HCA Nosocomial Sex There was a similar difference in rates of BSIs due to viridans group streptococci, 25 (of 35, or 71.4%) of which were in males (incidence, 16/1 personyears for males and 5/1 person-years for females; P=.1). Comparisons of incidence rates by sex for the 6 most common organisms are shown in Figure 4. The median duration of follow-up after BSI was 329 days (interquartile range, days). Eighty-eight individuals died during the initial hospitalization (crude mortality, 13.5%). There was no overall difference in mortality by sex (hazard ratio for males, 1.7; 95% CI, ; P=.76). The hazard ratio for death corresponding to a 1-year increase in age was 1.18 (95% CI, ; P=.2). The age-adjusted hazard ratio for death due to nosocomial BSI was 4.64 (95% CI, ; P.1). Figure 1. Distribution of the 65 bloodstream infections (BSIs) by health care exposure category. CA indicates community acquired; and HCA, health care associated. Percentages may not total 1 due to rounding years) (P=.3). The overall incidence of grampositive BSIs was 64 (95% CI, 53-75) per 1 personyears for females and 133 (95% CI, ) per 1 person-years for males (P.1). Gram-negative BSI incidence was 85 (95% CI, 72-98) per 1 personyears for females and 79 (95% CI, 64-95) per 1 person-years for males (P =.79). Age- and sexassociated trends in the incidence of gram-positive vs gram-negative BSI are shown in Figure 3. For E coli, the age-adjusted incidence rate was 61 (95% CI, 5-72) per 1 person-years for females and 32 (95% CI, 22-42) per 1 person-years for males (P=.2); the age- and sex-adjusted rate was 48 (95% CI, 41-55) per 1. The overall age-adjusted incidence rate (per 1 person-years) for S aureus was 23 (95% CI, 16-3) for females and 46 (95% CI, 34-57) for males (P=.5); the age- and sex-adjusted rate was 32 (95% CI, 26-39) per 1 person-years. COMMENT In our geographically defined population, the incidence of BSI increased sharply with age. Bloodstream infection due to E coli was far more common in females, likely reflecting the propensity for urinary tract infections, including pyelonephritis, in females. There were marked differences in the rates of S aureus BSI between males and females, with rates in males almost double those in females in some age groups. A similar difference was noted with viridans group streptococci. The difference in sex-specific incidence rates is striking. Reasons for the increased frequency of BSI due to gram-positive cocci in males seem directly related to the increased number of nosocomial BSIs in males. Increased intravenous drug abuse among males seems an unlikely explanation, given that most cases were in elderly persons and given the low prevalence of intravenous drug abuse in Olmsted County. 14 It is tempting to speculate that this proclivity among older males for BSIs due to gram-positive cocci may explain, in part, the ob- 836

4 Table 2. Age- and Sex-Specific Annual Incidence Rates of BSI per 1, in 65 Patients in Olmsted County, Minnesota, 23 to 25* Age Group, y Type of Infection Total Escherichia coli 5.4 (3) 26.2 (16) 47.5 (26) (39) 43.6 (36) 61.5 (12) 1.7 (1) 1. (6) 11.6 (6) 11.4 (21) (1) 31.1 (44) Total 3.5 (4) 18.2 (22) 29.9 (32) (6) 356. (46) 47.7 (164) Staphylococcus aureus 1.8 (1) 18.3 (1) 78.7 (19) (13) 22.7 (43) 1.3 (6) 5. (3) 3.8 (16) 111. (23) (17) 45.3 (65) Total 6.1 (7) 2.5 (3) 24.4 (26) 93.6 (42) (3) 32. (18) Gram-positive cocci 14.4 (8) 21.3 (13) 4.2 (22) (41) 47.9 (42) 64.1 (124) 29.1 (17) 23.4 (14) 1.2 (52) (66) (46) (188) Total 21.9 (25) 22.4 (27) 69.4 (74) (17) (88) 93.2 (321) Gram-negative bacilli 9. (5) 36. (22) 8.3 (44) (45) (53) 85.3 (161) 8.6 (5) 2.1 (12) 5.1 (26) (39) (3) 78.5 (111) Total 8.8 (1) 28.2 (34) 65.6 (7) (84) (83) 8.9 (281) All BSIs 23.5 (13) 58.9 (36) (68) (9) (12) (39) 37.6 (22) 46.9 (28) 158. (82) (123) (86) (341) Total 3.7 (35) 52.9 (64) 14.6 (15) (213) (188) (65) Abbreviation: See Table 1. *Data are given as incidence per 1 person-years. Total numbers in each age group include polymicrobial BSIs and Candida species. Numbers in parentheses indicate the actual number of BSI cases. Total rates by sex are age adjusted, and overall total rates are age and sex adjusted to the US white 2 census Age, y Figure 2. Incidence rates of bloodstream infection by age, from January 1, 23, to December 31, 25, in Olmsted County, Minnesota. servation that IE predominantly affects older males The incidence rates of IE in a population-based setting have been previously described, with an age- and sexadjusted rate of 4.9 per 1 person-years. 14,23 The incident rate ratio for male vs female sex was 2.5: Recent series of patients, from the International Collaboration on Endocarditis, with IE due to S aureus reported that 6% to 7% were male. 28,29 In our study, the rate of S aureus BSIs in males was twice that in females. The sex discrepancy in IE cases could be explained by differences in underlying rates of BSI. This is a novel observation that deserves further investigation. Data derived from population-based studies for BSI in the United States were not previously available. The incidence of BSI in our study (19 per 1 person-years) exceeds that of prior estimated incidence rates of BSI from Europe from the 198s and 199s (76.5 and 153 per 1 ). 8,9 It is unclear if this is because of a true increase in the rates of BSI overall, changes in blood culture techniques resulting in detection bias, or differing population demographics in the varying regions studied. The rank order of microorganisms defined in our study was similar to that reported previously. 2,3,31 In our population-based study, E coli remained the most common causative organism, followed by S aureus. These trends for organisms isolated are similar to a recent large series 4 of BSIs from the United Kingdom, which also reported E coli and S aureus as the most common organisms isolated. A recent analysis 32 of cases of nosocomial BSIs in US hospitals found that the most common organisms were coagulase-negative staphylococci, S aureus, enterococci, and Candida species. We speculate that the difference in rank order of microorganisms seen in our study is because of the inclusion of community-acquired and health care associated BSIs. Our study has several limitations. We used a set definition of blood culture contamination to avoid ascertainment bias in retrospectively identifying incident cases. However, as noted by Bekeris et al, 21 isolates classified as contaminants using this study definition could still be reflective of clinical infection. Prior studies 31,33 of BSIs with coagulase-negative staphylococci have suggested that approximately 25% to 3% of isolates were considered to be pathogens. In our study, there were 58 clinically significant coagulase-negative staphylococcal BSIs (16.9%) 837

5 of 344 positive blood culture results for this organism. Our results may, therefore, underestimate the true incidence of BSIs due to this organism. Another limitation is that Olmsted County is a relatively homogeneous population in regard to racial and ethnic composition, with a low prevalence of intravenous drug abuse. Therefore, the generalizability of our A B Age, y Figure 3. Incidence rates of gram-positive cocci (A) and gram-negative bacilli (B) bloodstream infections by age, from January 1, 23, to December 31, 25, in Olmsted County, Minnesota. study s findings to groups underrepresented in the population could be limited. However, as previously noted, the characteristics of the Olmsted County population are similar to those of other US whites, with the exception of slightly higher income and education levels, and studies in Olmsted County can be extrapolated to a large part of the general population. 13 Presumably, an increased prevalence of intravenous drug abuse would result in an increase in the incidence of BSI in younger age groups. Last, it is possible that residents of the population could have been examined and diagnosed as having BSI at an institution outside of Olmsted County, although the geographic isolation of Olmsted County from other urban centers makes this unlikely. 13,23 Only patients with BSI detected via positive blood culture result were included as incident cases; therefore, patients with BSIs who did not have blood cultures drawn (ie, did not seek medical attention or were treated empirically without cultures) would have been missed. Patients who received antimicrobial therapy prior to cultures being obtained may have falsely negative cultures. Our results, then, would be an underestimate of the true incidence of BSIs. It is difficult to know what impact, if any, this would have on ageand sex-specific incidence rates. The primary strength of the study is that through use of the Rochester Epidemiology Project we were able to study incidence of BSI in a large population without the referral bias seen with single-institution studies of BSI. 14 The essentially complete ascertainment of all BSI cases in our study for a population of known size, age, and sex distribution allows an unbiased and accurate estimation of incidence rates. In conclusion, our data indicate that there are striking sex-associated differences in organism distribution among patients with BSI. Escherichia coli BSI was more common in females, and BSI due to S aureus and viridans group streptococci was more common in males. The epidemiologic and pathogenic factors associated with these sex differences deserve further investigation. In addition, sex-specific BSI trends may have implications for empirical antimicrobial therapy in patients with pre Escherichia coli Staphylococcus aureus Coagulase- Negative Staphylococci Organism Klebsiella Species β-hemolytic Streptococci Viridans Group Streptococci Figure 4. Incidence rates of the 6 most commonly isolated microorganisms in 65 patients by sex, from January 1, 23, to December 31, 25, in Olmsted County, Minnesota. Error bars represent 95% confidence intervals calculated around the point estimate, assuming incident cases follow a Poisson error distribution. P values for comparisons by sex for each organism are as follows: Escherichia coli, P=.2; Staphylococcus aureus, P=.5; coagulase-negative staphylococci, P=.1; Klebsiella species, P=.7; -hemolytic streptococci, P=.6; and viridans group streptococci, P=

6 sumed BSI, especially as rates of antimicrobial resistance increase. Further research on specific sexassociated risk factors for BSI is needed to clarify these trends. Accepted for Publication: December 26, 26. Correspondence: Daniel Z. Uslan, MD, Division of Infectious Diseases, David Geffen School of Medicine at UCLA, 1833 LeConte Ave, CHS, Los Angeles, CA 995 Author Contributions: Dr Uslan had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Uslan, Crane, Steckelberg, Cockerill, St. Sauver, and Baddour. Acquisition of data: Uslan and Cockerill. Analysis and interpretation of data: Uslan, Steckelberg, Cockerill, St. Sauver, Wilson, and Baddour. Drafting of the manuscript: Uslan and St. Sauver. Critical revision of the manuscript for important intellectual content: Uslan, Crane, Steckelberg, Cockerill, St. Sauver, Wilson, and Baddour. Statistical analysis: Uslan. Obtained funding: Steckelberg and Baddour. Administrative, technical, and material support: Crane, Steckelberg, Wilson, and Baddour. Study supervision: Steckelberg, Cockerill, Wilson, and Baddour. Epidemiologic expertise: St. Sauver. Financial Disclosure: None reported. Previous Presentation: This study was presented in part at the Infectious Diseases Society of America Annual Meeting; October 15, 26; Toronto, Ontario. Acknowledgment: We thank Imad Tleyjeh, MD, for assistance with the study design; Emily Vetter and Barbara Yawn, MD, for assistance in obtaining microbiology records; and Kathy Parsons for administrative support. REFERENCES 1. Pedersen G, Schonheyder HC, Sorensen HT. Antibiotic therapy and outcome of monomicrobial gram-negative bacteraemia: a 3-year population-based study. Scand J Infect Dis. 1997;29: Perl TM, Dvorak L, Hwang T, Wenzel RP. Long-term survival and function after suspected gram-negative sepsis. JAMA. 1995;274: Bates DW, Pruess KE, Lee TH. How bad are bacteremia and sepsis? outcomes in a cohort with suspected bacteremia. Arch Intern Med. 1995;155: Reacher MH, Shah A, Livermore DM, et al. Bacteraemia and antibiotic resistance of its pathogens reported in England and Wales between 199 and 1998: trend analysis. BMJ. 2;32: Steinberg JP, Clark CC, Hackman BO. Nosocomial and community-acquired Staphylococcus aureus bacteremias from 198 to 1993: impact of intravascular devices and methicillin resistance. Clin Infect Dis. 1996;23: Lowy FD. Staphylococcus aureus infections. N Engl J Med. 1998;339: Banerjee SN, Emori TG, Culver DH, et al. Secular trends in nosocomial primary bloodstream infections in the United States, : National Nosocomial Infections Surveillance System. Am J Med. 1991;91(suppl):86S-89S. 8. Pedersen G, Schonheyder HC, Kristensen B, Sorensen HT. Communityacquired bacteraemia and antibiotic resistance: trends during a 17-year period in a Danish county. Dan Med Bull. 2;47: Madsen KM, Schonheyder HC, Kristensen B, Sorensen HT. Secular trends in incidence and mortality of bacteraemia in a Danish county APMIS. 1999; 17: Fernandez-Guerrero ML, Verdejo C, Azofra J, de Gorgolas M. Hospital-acquired infectious endocarditis not associated with cardiac surgery: an emerging problem. Clin Infect Dis. 1995;2: Jensen AG, Espersen F, Skinhoj P, Rosdahl VT, Frimodt-Moller N. Increasing frequency of vertebral osteomyelitis following Staphylococcus aureus bacteraemia in Denmark J Infect. 1997;34: Fowler VG Jr, Olsen MK, Corey GR, et al. Clinical identifiers of complicated Staphylococcus aureus bacteremia. Arch Intern Med. 23;163: Melton LJ III. History of the Rochester Epidemiology Project. Mayo Clin Proc. 1996;71: Steckelberg JM, Melton LJ III, Ilstrup DM, Rouse MS, Wilson WR. Influence of referral bias on the apparent clinical spectrum of infective endocarditis. Am J Med. 199;88: Bower JH, Maraganore DM, McDonnell SK, Rocca WA. Incidence and distribution of parkinsonism in Olmsted County, Minnesota, Neurology. 1999; 52: Friedman ND, Kaye KS, Stout JE, et al. Health care associated bloodstream infections in adults: a reason to change the accepted definition of communityacquired infections. Ann Intern Med. 22;137: Bates DW, Goldman L, Lee TH. Contaminant blood cultures and resource utilization: the true consequences of false-positive results. JAMA. 1991;265: Aronson MD, Bor DH. Blood cultures. Ann Intern Med. 1987;16: MacGregor RR, Beaty HN. Evaluation of positive blood cultures: guidelines for early differentiation of contaminated from valid positive cultures. Arch Intern Med. 1972;13: Weinstein MP, Murphy JR, Reller LB, Lichtenstein KA. The clinical significance of positive blood cultures: a comprehensive analysis of 5 episodes of bacteremia and fungemia in adults, II: clinical observations, with special reference to factors influencing prognosis. Rev Infect Dis. 1983;5: Bekeris LG, Tworek JA, Walsh MK, Valenstein PN. Trends in blood culture contamination: a College of American Pathologists Q-Tracks study of 356 institutions. Arch Pathol Lab Med. 25;129: US Census Bureau. Olmsted County QuickFacts. /qfd/states/27/2719.html. Accessed December 15, Tleyjeh IM, Steckelberg JM, Murad HS, et al. Temporal trends in infective endocarditis: a population-based study in Olmsted County, Minnesota. JAMA. 25; 293: Hoen B, Alla F, Selton-Suty C, et al; Association pour l Etude et la Prevention de l Endocardite Infectieuse (AEPEI) Study Group. Changing profile of infective endocarditis: results of a 1-year survey in France. JAMA. 22;288: Fonager K, Lindberg J, Thulstrup AM, Pedersen L, Schonheyder HC, Sorensen HT. Incidence and short-term prognosis of infective endocarditis in Denmark, Scand J Infect Dis. 23;35: Benn M, Hagelskjaer LH, Tvede M. Infective endocarditis, 1984 through 1993: a clinical and microbiological survey. J Intern Med. 1997;242: Griffin MR, Wilson WR, Edwards WD, O Fallon WM, Kurland LT. Infective endocarditis: Olmsted County, Minnesota, 195 through JAMA. 1985;254: Miro JM, Anguera I, Cabell CH, et al; International Collaboration on Endocarditis Merged Database Study Group. Staphylococcus aureus native valve infective endocarditis: report of 566 episodes from the International Collaboration on Endocarditis Merged Database. Clin Infect Dis. 25;41: Fowler VG Jr, Miro JM, Hoen B, et al; ICE Investigators. Staphylococcus aureus endocarditis: a consequence of medical progress. JAMA. 25;293: Cockerill FR III, Hughes JG, Vetter EA, et al. Analysis of 281,797 consecutive blood cultures performed over an eight-year period: trends in microorganisms isolated and the value of anaerobic culture of blood. Clin Infect Dis. 1997;24: Cockerill FR III, Wilson JW, Vetter EA, et al. Optimal testing parameters for blood cultures. 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