National variation in United States sepsis mortality: a descriptive study
© Wang et al. 2010
Received: 8 November 2009
Accepted: 15 February 2010
Published: 15 February 2010
The regional distribution of a disease may provide important insights regarding its pathophysiology, risk factors and clinical care. While sepsis is a prominent cause of death in the United States (US), few studies have examined regional variations with this malady. We identified the national variation in sepsis deaths in the US. We conducted a descriptive analysis of 1999-2005 national vital statistics data from the National Center for Health Statistics summarized at the state-level. We defined sepsis deaths as deaths attributed to an infection, classified according to the International Classification of Diseases, Version 10. We calculated national and state age-adjusted sepsis-attributed mortality rates.
National age-adjusted sepsis mortality was 65.5 per 100,000 persons (95% CI: 65.8 - 66.0). State level sepsis mortality varied more than two-fold (range 41 to 88.6 per 100,000 persons; median 60.8 per 100,000, IQR 53.9-74.4 per 100,000). A cluster extending from the Southeastern to the mid-Atlantic US encompassed states with the highest sepsis mortality.
Sepsis mortality varies across the US. The states with highest sepsis mortality form a contiguous cluster in the Southeastern and mid-Atlantic US. These observations highlight unanswered questions regarding the characteristics and care of sepsis.
Infections may lead to death by triggering systemic inflammation (sepsis), subsequent organ dysfunction and shock [1, 2]. Each year in the United States (US), sepsis results in 570,000 emergency department visits and affects over 750,000 hospitalized patients. There are approximately 200,000 US sepsis deaths annually, underscoring the public health magnitude and importance of this process [3, 4].
While prior studies characterize the epidemiology of sepsis in the US, few studies have examined regional variations with this malady [3, 5–7]. A prominent example of regional disease variation is the "Stroke Belt," a cluster of excess cerebrovascular deaths in the Southeastern US [8–14]. Regional disease variation is important, pointing to potential differences in patient characteristics, pathogen exposure, disease susceptibility, health behaviors, pre-existing medical conditions, socioeconomic resources, genetic polymorphisms, healthcare resources or quality of care [11, 12, 14].
Mortality is a function of susceptibility (attack rate) and case fatality. While the scientific community has focused primarily on the acute care of sepsis, there have been only limited efforts to prevent or to identify individuals most susceptible to sepsis, which could vary regionally [1, 12]. For example, systematic regional differences in the quality of sepsis care could alter sepsis mortality. A better understanding of the geographic patterns of sepsis mortality could lead to new insights regarding the diagnosis, treatment and prevention of sepsis.
We sought to characterize the US regional variation in sepsis deaths by examining the national distribution of deaths attributed to infection. We hypothesized that there would be substantial variation in sepsis mortality across the US.
We conducted a descriptive analysis using mortality data from the National Center for Health Statistics (NCHS). The Institutional Review Board of the University of Alabama at Birmingham approved the study without the requirement for informed consent from patients.
We studied deaths attributed to infection in the continental US, including the District of Columbia.
Sources of Data
For this study we used the National Center for Health Statistics' Compressed Mortality File (CMF), which contains data on the age, race, sex, year and causes of all US deaths . We chose the CMF for this analysis because it represents the only data set aggregating US death incidence and geographic distribution for different disease groups. While individual states often compile more detailed information on individual deaths (for example, the specific hospital or location of death), development of national geographic perspectives would have required combining multiple data sets.
US Census Bureau population estimates supplement the CMF data. We used the most recent CMF death information, averaged across a seven-year period (1999-2005) to stabilize the estimates. We chose not to assess variations in sepsis hospitalization because currently available data lacked adequate resolution for meaningful geographic analyses [3, 5, 7].
We defined sepsis death as death attributed to an infection. We chose this approach because of the large overlap between sepsis and infection deaths. Prior studies using administrative and mortality data have characterized only hospitalizations or deaths attributed to sepsis or septicemia [5, 16]. However, if we similarly examined only deaths specifically attributed to sepsis (ICD-10 A40-A41), we would have underestimated the true number of cases. For example, in the case of pneumonia with associated sepsis, the data set may have attributed the death to pneumonia rather than sepsis. Death from infection often occurs through organ failure; the pattern of infection plus organ dysfunction is consistent with international consensus definitions of sepsis . We aggregated all deaths due to infection as done in prior studies of sepsis [3, 6, 7].
Infection-attributed deaths and corresponding infection subgroups.
Cause of Death Category
Shigellosis and amebiasis
Certain other intestinal infections
Scarlet fever and erysipelas
Arthropod-borne viral encephalitis
Human immunodeficiency virus (HIV) disease
Other and unspecified infectious and parasitic diseases and their sequelae
001, 005, 020-032, 037, 039-041, 046-054, 056-061, 065-066, 071-083, 085-088, 098-134, 136-139, 771.3
A00, A05, A20-A36, A42-A44, A48-A49, A54-A79, A81-A82, A85.0-A85.1, A85.8, A86-B04, B06-B09, B25-B49, B55-B99
Acute and subacute endocarditis
Diseases of pericardium and acute myocarditis
Acute bronchitis and bronchiolitis
Unspecified acute lower respiratory infection
Pneumonitis due to solids and liquids
Diseases of Additional File 1 - Appendices
Cholelithiasis and other disorders of gallbladder
Infections of kidney
N10-N12, N13.6, N15.1
Inflammatory diseases of female pelvic organs
For this study we used the CMF "underlying cause of death" data set, which identifies a single initiating disease or injury event leading to death . Customarily, the underlying cause of death is based upon death certificate documentation. For example, in the case of a patient hospitalized for pneumonia but later developing sepsis and death, the death record may attribute the death to pneumonia. When physicians enter more than one cause or condition, the CMF uses the sequence of listed conditions, provisions of the International Classification of Diseases, and associated selection rules and modifications to classify the underlying cause of death . We did not use the contrasting CMF "multiple cause of death" data set because of the potential for misattribution.
We included infection-attributed deaths for all individuals ≥ 15 years old during the period 1999-2005. We included deaths in individuals aged 15-19 years because the CMF uses a single reference standard population for ages 15-24; inclusion of the 15-19 year group is necessary for age-adjustment. We excluded individuals <15 years because the epidemiology of sepsis differs for this age group . We excluded individuals with unknown age.
We used an analytical approach similar to prior studies of stroke death clusters [9, 10, 13]. We used age-adjusted mortality rates provided by CMF, which adjusts relative to intercensal (1999), actual (2000) or postcensal (2001 to 2005) US Census population estimates. We determined the age-adjusted sepsis/infection-attributed mortality rate nationally and for each state referenced to the 2000 US population. We used a similar approach for African Americans and Whites. We determined unadjusted national and state sepsis/infection-attributed mortality for different age categories (15-24, 25-44, 45-65, and ≥ 65 years). We also calculated age-adjusted mortality for each infection subgroup. The CMF defined the location of death as the person's place of residence. We graphically depicted the geographic distributions across the US. We analyzed all data using Stata 10.1 (Stata, Inc., College Station, Texas) and Excel (Microsoft, Inc., Redmond, Washington).
Sepsis attributed deaths, United States, 1999-2005
(Annual Deaths per 100,000)
(Annual Deaths per 100,000; 95% CI)
41.0 (40.2 - 41.8)
44.9 (42.7 - 47.1)
46.0 (43.7 - 48.3)
46.4 (44.8 - 48.0)
46.5 (45.5 - 47.5)
47.2 (44.9 - 49.5)
50.0 (48.6 - 51.4)
50.3 (49.5 - 51.1)
50.9 (50.1 - 51.7)
50.9 (49.3 - 52.6)
51.8 (49.6 - 54.0)
53.3 (51.3 - 55.3)
53.9 (52.5 - 55.3)
55.7 (54.6 - 56.8)
55.9 (54.2 - 57.6)
55.9 (55.6 - 56.2)
56.5 (56.0 - 57.0)
56.7 (55.4 - 58.1)
56.7 (56.1 - 57.3)
56.8 (55.9 - 57.7)
56.8 (55.6 - 58.0)
57.8 (56.0 - 59.6)
57.8 (55.0 - 60.7)
59.7 (57.8 - 61.7)
59.9 (59.0 - 60.8)
61.7 (61.1 - 62.3)
62.2 (61.4 - 63.0)
64.8 (63.3 - 66.4)
67.4 (66.9 - 67.9)
69.1 (68.2 - 70.0)
69.3 (68.7 - 69.9)
69.9 (68.7 - 71.1)
71.0 (70.4 - 71.6)
71.3 (70.1 - 72.5)
73.1 (72.2 - 74.0)
73.9 (73.4 - 74.4)
74.1 (72.6 - 75.7)
74.4 (73.3 - 75.5)
74.4 (73.3 - 75.5)
75.8 (75.0 - 76.6)
76.3 (75.5 - 77.1)
76.6 (75.5 - 77.7)
77.4 (76.0 - 78.8)
77.6 (75.0 - 80.2)
78.3 (77.3 - 79.3)
79.4 (78.6 - 80.2)
83.7 (82.3 - 85.1)
83.7 (82.6 - 84.9)
85.0 (84.2 - 85.8)
88.6 (87.5 - 89.7)
District of Columbia
122.7 (119.0 - 126.5)
65.9 (65.8 - 66.0) †
Sepsis attributed deaths, stratified by infection subgroup.
35.3 (33.0 - 39.3)
14.0 (8.6 - 19.3)
4.9 (4.2 - 5.6)
0.4 (0.3 - 0.6)
0.9 (0.8 - 0.9)
0.3 (0.3 - 0.4)
6.1 (4.3 - 9.6)
Overall, the District of Columbia had the highest age-adjusted sepsis mortality (122.7 annual deaths per 100,000). Excluding the District of Columbia, there was an over two-fold variation in age-adjusted sepsis mortality across US states (range 41 to 88.6 per 100,000 persons; median 60.8, IQR: 53.9-74.4).
Stratified by age group, unadjusted sepsis/infection mortalities were (per 100,000): 15-24 years, 1.73 (95% CI: 1.68-1.78); 25-44 years, 13.89 (13.80-13.99); 45-64 years, 32.98 (32.81-33.14); ≥ 65 years, 297.05 (296.38-297.73). The regional patterns for each age stratum exhibited similar clustering in the Southeast and Mid-Atlantic states. (See additional file 1 - Appendices 2A-2D) Male (79.30, 95% CI: 79.12-79.49) and female (54.00, 95% CI: 53.85-54.15) sepsis mortality exhibited similar regional distributions. (See additional file 1 - Appendices 3A-3B) Sepsis clusters persisted for the respiratory, septicemia and "other" infection subgroups. (See additional file 1 - Appendices 4A-4G)
The regional variation of a disease may have important implications for its diagnosis and care. For example, sudden cardiac arrest incidence varies two-fold across the US, potentially reflecting differences in population characteristics and public systems of emergency care . Stroke death is highest in the Southeast US, raising questions regarding the stroke susceptibility, health behaviors and systems of medical care [9–14]. Only limited data describe the regional distribution of sepsis [3, 5].
We observed a more than two-fold variation in the infection-attributed mortality in the US. The 11 states with the highest sepsis mortality comprised a contiguous cluster in the Southeastern and Mid-Atlantic US. Assuming the equivalence of sepsis and infection-attributed deaths, the increased sepsis mortality in this cluster (80.1 vs. 61.9 deaths per 100,000 in other regions) translates to over 8,500 excess adult sepsis deaths each year in the US.
The reasons for these observations remain unclear but may involve variations in the patients, environment or patterns of care. For example, the treatment of sepsis is often complex, involving the administration of intravenous fluids, antibiotics and vasopressors [4, 18]. Regional sepsis mortality variations could reflect differences in the execution of sepsis treatment protocols. Regional differences in medical comorbidities, health behaviors, diet, socioeconomic status, genetics or environmental exposures may potentially alter the risk of sepsis [11, 12]. Obesity is highest in the Southeastern US, and sepsis severity is higher in obese individuals, suggesting a potential contributory role [19–24]. Answers to these and other key questions could innovate sepsis treatment and prevention strategies, potentially reducing sepsis death and healthcare expenditures.
Our results provide interesting initial perspectives. For example, the regional distribution of infection deaths remained stable across age and sex strata, suggesting that age and sex are not contributors to regional variation. In contrast, the geographic distribution differed between African Americans and Whites, suggesting that racial differences may partially explain sepsis mortality variations. Prior studies of the sepsis epidemiology have used primarily hospital discharge data with inadequate scope or clinical detail to answer these questions [3, 5]. Appropriate answers would require study with a national population-based cohort encompassing knowledge of subjects' baseline characteristics and identification of subsequent sepsis events. Our observations also highlight that population-based studies limited to smaller regions may not result in nationally generalizable inferences.
The most unexpected observation was the similarity between the observed sepsis death cluster and the US "Stroke Belt." While defined in different ways, the Stroke Belt generally refers to a region of increased stroke mortality encompassing Mississippi, Alabama, Georgia, Tennessee, Kentucky, North Carolina and South Carolina [9–13]. Within the Belt a "Stroke Buckle" encompassing the North Carolina, South Carolina and Georgia costal regions contains the highest death rates. First identified in the 1930s, the pattern of excess deaths persists today despite secular trends in overall and race-stratified stroke mortality[9, 10, 13]. The Stroke Belt has spawned key hypotheses regarding the pathophysiology of and risk factors for cerebrovascular disease, including medical comorbidities, lifestyle, diet, socioeconomic status, genetics, differing responses to medications and environmental exposures [11, 12]. The overlap between the Stroke Belt and our observed sepsis cluster could point to unidentified similarities in the pathophysiology, patient characteristics or medical care of these conditions.
There are key differences between this study and prior sepsis epidemiology descriptions. Our estimate of 65.5 infection deaths per 100,000 contrasts with Martin, et al.'s estimate of 43.9 per 100,000. However, Martin, et al. used sampled data from National Hospital Discharge Survey and limited cases to those with ICD-9 sepsis diagnosis codes, potentially missing infection-related deaths not coded as sepsis . Angus, et al.'s study of combined statewide hospital discharge data (Florida, Maryland Massachusetts, New Jersey, New York, Virginia, and Washington) estimated a higher mortality (approximately 85.8 per 100,000), but their broad use of discharge diagnoses may have misattributed selected deaths to infection .
Melamed and Sorvillo examined secular trends in sepsis mortality using CMF multiple cause of death data set, classifying sepsis deaths as instances where any of the four causes of death included ICD-10 septicemia . They did not include other infection groups. Our approach differs in the use of a single underlying cause of death complemented by a broader sepsis definition. While our estimate of 65.5 sepsis deaths per 100,000 is higher than Melamed's estimate of 50.5 per 100,000, we included only individuals ≥ 15 years old. When we repeated our analysis using Melamed's approach but limited to individuals age ≥ 15 years, we observed a sepsis mortality of 62.6 per 100,000 as well as the same regional sepsis "belt." This observation supports the robustness of our approach.
Limitations of this analysis include the use of public death records. Listed causes of death are subject to classification or misattribution bias, which could affect our results [25–30]. We could not use conventional definitions of sepsis. We could not ascertain if secondary infections played prominent roles in the death of individual cases. While we used the CDC's existing cause of death categories, this taxonomy may have missed selected infections such as peritonitis, pyothorax, abscesses or unspecified infections. For analytic purposes we combined all infections together, but select patients may have responded differently to individual infections. It is unclear how these biases may have altered our observations. We did not include deaths of individuals <15 years or with unknown age. We note that there were only 56 deaths with unknown age.
We did not formally validate the accuracy of death records for identifying sepsis; this is the objective of a separate effort using adjudicated death records. However, when we repeated the analysis using Melamed's strategy with the CMF multiple cause of death data, we observed similar results, suggesting robustness of our approach. As discussed previously, we did not evaluate regional variations in sepsis hospitalizations because of the lack of appropriate data sets.
While our observed cluster appears to exclude South Carolina and Kentucky (two prominent representatives of the Stroke Belt) these states fell on the upper quartile cutoff (74.4 per 100,000) and could be included with this group. While stroke and infection may conceivably coexist in a patient, we used the CMF underlying cause of death data, precluding the possibility of confounding as the cause of stroke/sepsis geographic overlap.
We selected states as the unit of analysis in order to provide clearer national perspectives for this initial effort. Additional insights may have resulted from smaller geographic units (counties, census tracts). Also, geographic boundaries may not align with state boundaries. For example, heightened sepsis mortality in the Appalachian Mountains would have affected sepsis mortality estimates in many high risk states.
We included only deaths for individuals age ≥ 15 years in this study. We would expect different mortality patterns for children since the sepsis epidemiology differs in this age group. Due to their relatively sparse numbers, we did not separately examine sepsis patterns among Asians/Pacific Islanders and American Indians. Our study describes the regional distribution of those dying from sepsis but does not characterize survivors. We did not have sociodemographic or hospitalization information on each patient. While we did not formally evaluate longitudinal trends, we found similar regional patterns for each year of 1999-2005.
Sepsis mortality varies across the US. The states with the highest sepsis mortality form a contiguous cluster from the Southeastern to mid-Atlantic US. These observations highlight unanswered questions regarding the characteristics and care of sepsis.
Dr. Wang received support from Clinical Scientist Development Award K08-HS013628 from the Agency for Healthcare Research and Quality, Rockville, Maryland. Dr. Howard received support from cooperative agreement NS 041588 from the National Institute of Neurological Disorders and Stroke. The funders had no direct role in the design or execution of the study or the composition of the resulting manuscript.
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