Open Access

National variation in United States sepsis mortality: a descriptive study

  • Henry E Wang1Email author,
  • Randolph S Devereaux1,
  • Donald M Yealy2,
  • Monika M Safford3 and
  • George Howard4
Contributed equally
International Journal of Health Geographics20109:9

DOI: 10.1186/1476-072X-9-9

Received: 8 November 2009

Accepted: 15 February 2010

Published: 15 February 2010

Abstract

Background

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.

Results

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.

Conclusions

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.

Background

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, 57]. A prominent example of regional disease variation is the "Stroke Belt," a cluster of excess cerebrovascular deaths in the Southeastern US [814]. 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.

Methods

Study Design

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.

Study Setting

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 [15]. 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].

Study Population

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 [1]. We aggregated all deaths due to infection as done in prior studies of sepsis [3, 6, 7].

The CMF classifies deaths for 1999-2005 using the International Classification of Diseases, Tenth Revision (ICD-10), grouping cause of death into 113 broad categories. We identified cause of death categories related to infection, including septicemia, respiratory (-e.g., pneumonia), abdominal and gastrointestinal (-e.g., appendicitis, diverticulitis), cardiac (-e.g., endocarditis), kidney and genitourinary (-e.g., pyelonephritis, pelvic inflammatory disease), neurologic (meningitis) and other infections. (Table 1) We also included influenza (ICD-9 487 - corresponding to ICD-10 J10-J11), acute bronchitis and bronchiolitis (ICD-9 466 - corresponding to ICD-10 J20-J21), and pneumonitis due to solids and liquids (ICD-9 507 - corresponding to ICD-10 J69). These categories closely aligned with previously used ICD-9 based classifications of severe sepsis applied to hospital discharge and emergency department data [3, 6, 7].
Table 1

Infection-attributed deaths and corresponding infection subgroups.

Cause of Death Category

ICD-9 Codes

ICD-10 Codes

Infection Subgroup

Salmonella infections

002-003

A01-A02

Abdominal

Shigellosis and amebiasis

004, 006

A03, A06

Abdominal

Certain other intestinal infections

007-009

A04, A07-A09

Abdominal

Respiratory tuberculosis

010-012

A16

Respiratory

Other tuberculosis

013-018

A17-A19

Respiratory

Whooping cough

33

A37

Respiratory

Scarlet fever and erysipelas

034.1-035

A38, A46

Other

Meningococcal infection

36

A39

Neurological

Septicemia

38

A40-A41

Septicemia

Syphilis

090-097

A50-A53

Kidney/Genitourinary

Acute poliomyelitis

45

A80

Other

Arthropod-borne viral encephalitis

062-064

A83-A84, A85.2

Neurological

Measles

55

B05

Other

Viral hepatitis

70

B15-B19

Abdominal

Human immunodeficiency virus (HIV) disease

042-044

B20-B24

Other

Malaria

84

B50-B54

Other

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

Other

Meningitis

320-322

G00, G03

Neurological

Acute and subacute endocarditis

421

I33

Cardiac

Diseases of pericardium and acute myocarditis

420, 422-423

I30-I31, I40

Cardiac

Influenza

487

J10-J11

Respiratory

Pneumonia

480-486

J12-J18

Respiratory

Acute bronchitis and bronchiolitis

466

J20-J21

Respiratory

Unspecified acute lower respiratory infection

---

J22

Respiratory

Pneumonitis due to solids and liquids

507

J69

Respiratory

Diseases of Additional File 1 - Appendices

540-543

K35-K38

Abdominal

Cholelithiasis and other disorders of gallbladder

574-575

K80-K82

Abdominal

Infections of kidney

590

N10-N12, N13.6, N15.1

Kidney/Genitourinary

Inflammatory diseases of female pelvic organs

614-616

N70-N76

Kidney/Genitourinary

Sepsis-attributed deaths defined as deaths due to infection. The National Center for Health Statistics (NCHS) uses 113 causes of death categories to classify each death. Adopted from "NCHS 113 Selected Causes of Death"[31].

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 [15]. 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 [15]. 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 [17]. We excluded individuals with unknown age.

Statistical Analysis

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).

Results

During 1999-2005, among persons ≥ 15 years old there were 1,041,404 deaths due to infection, corresponding to a national age-adjusted mortality rate of 65.9 deaths per 100,000 persons (95% CI: 65.8-66.0). (Table 2) Most deaths were attributed to respiratory infections, septicemia and abdominal and gastrointestinal infections. (Table 3)
Table 2

Sepsis attributed deaths, United States, 1999-2005

State

Sepsis-

Attributed Deaths

1999-2005

Population

2000

Crude

Sepsis-Attributed Mortality

(Annual Deaths per 100,000)

Age-Adjusted

Sepsis-Attributed

Mortality

(Annual Deaths per 100,000; 95% CI)

Minnesota

11,907

4,622,379

42.9

41.0 (40.2 - 41.8)

North Dakota

2,057

597,853

57.3

44.9 (42.7 - 47.1)

Alaska

853

568,616

25.0

46.0 (43.7 - 48.3)

New Hampshire

3,214

1,185,137

45.2

46.4 (44.8 - 48.0)

Oregon

9,624

3,283,846

48.8

46.5 (45.5 - 47.5)

Vermont

1,703

582,797

48.7

47.2 (44.9 - 49.5)

Nebraska

5,467

1,588,076

57.4

50.0 (48.6 - 51.4)

Wisconsin

16,520

5,050,218

54.5

50.3 (49.5 - 51.1)

Washington

16,229

5,610,002

48.2

50.9 (50.1 - 51.7)

Idaho

3,518

1,210,933

48.4

50.9 (49.3 - 52.6)

South Dakota

2,682

699,723

63.9

51.8 (49.6 - 54.0)

Montana

2,982

854,145

58.2

53.3 (51.3 - 55.3)

New Mexico

5,138

1,682,975

50.9

53.9 (52.5 - 55.3)

Iowa

11,605

2,738,125

70.6

55.7 (54.6 - 56.8)

Maine

4,653

1,232,075

62.9

55.9 (54.2 - 57.6)

California

94,587

31,544,211

50.0

55.9 (55.6 - 56.2)

Florida

64,486

15,830,981

67.9

56.5 (56.0 - 57.0)

Utah

5,075

2,000,507

42.3

56.7 (55.4 - 58.1)

Michigan

31,031

9,211,209

56.1

56.7 (56.1 - 57.3)

Colorado

11,276

4,115,392

45.7

56.8 (55.9 - 57.7)

Kansas

9,514

2,486,519

63.8

56.8 (55.6 - 58.0)

Hawaii

4,216

1,153,656

60.9

57.8 (56.0 - 59.6)

Wyoming

1,507

464,375

54.1

57.8 (55.0 - 60.7)

Rhode Island

4,199

1,001,684

69.9

59.7 (57.8 - 61.7)

Arizona

17,673

4,944,262

59.6

59.9 (59.0 - 60.8)

Ohio

41,051

10,560,870

64.8

61.7 (61.1 - 62.3)

Indiana

21,115

5,658,032

62.2

62.2 (61.4 - 63.0)

West Virginia

7,611

1,731,920

73.2

64.8 (63.3 - 66.4)

Texas

65,887

19,423,021

56.5

67.4 (66.9 - 67.9)

Missouri

23,510

5,256,289

74.5

69.1 (68.2 - 70.0)

Pennsylvania

58,013

11,622,733

83.2

69.3 (68.7 - 69.9)

Oklahoma

14,064

3,214,010

72.9

69.9 (68.7 - 71.1)

Illinois

48,771

11,518,522

70.6

71.0 (70.4 - 71.6)

Connecticut

15,634

3,210,413

81.2

71.3 (70.1 - 72.5)

Massachusetts

29,186

6,021,153

80.8

73.1 (72.2 - 74.0)

New York

81,756

17,824,477

76.4

73.9 (73.4 - 74.4)

Nevada

7,413

1,985,276

62.2

74.1 (72.6 - 75.7)

Kentucky

16,517

3,812,718

72.2

74.4 (73.3 - 75.5)

South Carolina

16,070

3,805,040

70.4

74.4 (73.3 - 75.5)

Virginia

27,345

6,779,988

67.2

75.8 (75.0 - 76.6)

North Carolina

33,061

7,708,376

71.5

76.3 (75.5 - 77.1)

Alabama

19,304

4,154,300

77.4

76.6 (75.5 - 77.7)

Arkansas

12,676

2,506,037

84.3

77.4 (76.0 - 78.8)

Delaware

3,445

749,403

76.6

77.6 (75.0 - 80.2)

Tennessee

24,539

5,391,291

75.9

78.3 (77.3 - 79.3)

New Jersey

39,688

7,930,108

83.4

79.4 (78.6 - 80.2)

Mississippi

12,820

2,603,847

82.1

83.7 (82.3 - 85.1)

Louisiana

19,143

4,076,687

78.3

83.7 (82.6 - 84.9)

Georgia

32,420

7,800,211

69.3

85.0 (84.2 - 85.8)

Maryland

24,753

5,011,312

82.3

88.6 (87.5 - 89.7)

District of Columbia

3,896

557,759

116.4

122.7 (119.0 - 126.5)

TOTAL

1,041,404

265,173,485

65.5

65.9 (65.8 - 66.0)

Includes deaths due to an infection, age ≥ 15 years. Listed in order of ascending age-adjusted sepsis-attributed mortality. *Unreliable estimate due to limited African American population. Among state-level estimates, minimum 41.0 per 100,000, maximum 122.7 per 100,000, median 61.7 per 100,000 (interquartile range 53.9-74.4 per 100,000).

Table 3

Sepsis attributed deaths, stratified by infection subgroup.

 

State-Level Mortality

Infection Subgroup

Minimum

(deaths/100,000)

Maximum

(deaths/100,000)

Median (IQR)

(deaths/100,000)

Respiratory

23.9

47.6

35.3 (33.0 - 39.3)

Septicemia

3.6

26.0

14.0 (8.6 - 19.3)

Abdominal/Gastrointestinal

3.1

8.0

4.9 (4.2 - 5.6)

Kidney/Genitourinary

0.2

0.9

0.4 (0.3 - 0.6)

Cardiac

0.6

1.8

0.9 (0.8 - 0.9)

Neurological

0.2

0.5

0.3 (0.3 - 0.4)

Other

3.2

56.0

6.1 (4.3 - 9.6)

State-level mortality per 100,000 persons ages ≥ 15 years, United States, 1999-2005. Includes contiguous United States and District of Columbia.

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).

A cluster of 11 adjacent states in the Southeastern and mid-Atlantic US (Arkansas, Louisiana, Mississippi, Alabama, Georgia, Tennessee, North Carolina, Virginia, Maryland, Delaware and New Jersey) contained the highest infection death rates. (Figure 1) Sepsis mortality in this "belt" exceeded sepsis mortality in non-belt regions (80.2 vs. 62.2 per 100,000; incidence rate ratio 1.291, 95% CI: 1.287-1.297).
https://static-content.springer.com/image/art%3A10.1186%2F1476-072X-9-9/MediaObjects/12942_2009_Article_342_Fig1_HTML.jpg
Figure 1

Regional variation in sepsis mortality, United States, 1999-2005. Excludes Alaska and Hawaii.

African Americans exhibited higher overall sepsis mortality than Whites (109.1 vs. 61.0 per 100,000; incidence rate ratio 1.79, 95% CI: 1.78-1.780). The distribution for Whites was similar to overall mortality, with a geographic cluster of high sepsis mortality in the Southeast and mid-Atlantic states. (Figures 2, 3) However, the regional pattern for African Americans differed, with a cluster in the Northeastern US (Maryland, Delaware, Pennsylvania, New Jersey, New York and Connecticut) and several other isolated states (Illinois, Louisiana, Georgia, Florida).
https://static-content.springer.com/image/art%3A10.1186%2F1476-072X-9-9/MediaObjects/12942_2009_Article_342_Fig2_HTML.jpg
Figure 2

Regional variation in sepsis mortality, Whites only, United states, 1999-2005. Excludes Alaska and Hawaii.

https://static-content.springer.com/image/art%3A10.1186%2F1476-072X-9-9/MediaObjects/12942_2009_Article_342_Fig3_HTML.jpg
Figure 3

Regional variation in sepsis mortality, African Americans only, United States, 1999-2005. Excludes Alaska and Hawaii. Bold borders indicate states where reliable age-adjusted mortality rates could not be calculated.

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)

Discussion

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 [8]. Stroke death is highest in the Southeast US, raising questions regarding the stroke susceptibility, health behaviors and systems of medical care [914]. 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 [1924]. 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 [913]. 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 [5]. 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 [3].

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 [16]. 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 [2530]. 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[17]. 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.

Conclusions

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.

Declarations

Acknowledgements

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.

Authors’ Affiliations

(1)
Department of Emergency Medicine, University of Alabama at Birmingham
(2)
Department of Emergency Medicine, University of Pittsburgh
(3)
Department of Internal Medicine, Division of Preventive Medicine, University of Alabama at Birmingham
(4)
Department of Biostatistics, University of Alabama at Birmingham

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