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Incidence and characteristics of prehospital fatalities from haemorrhage in Sweden: a nationwide observational study
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine volume 32, Article number: 96 (2024)
Abstract
Background
Haemorrhage is a leading cause of preventable mortality in high-income countries and emergency management presents unique challenges in the prehospital setting. The study aimed to determine incidence and characteristics of fatalities from prehospital haemorrhage in Sweden.
Methods
A nationwide retrospective cohort study 2012–2021 was conducted using data from the Swedish National Board of Health and Welfare. Prehospital fatality from haemorrhage was defined as a cause of death related to haemorrhage (Appendix 1) without a hospital admission on the same day. Primary outcome was age-standardized mortality rate per 100,000 inhabitants.
Results
A total of 9801 prehospital fatalities from haemorrhage were identified. Annual age-standardized mortality rate decreased from 10.97 to 8.18 per 100,000 population (coefficient = − 0.28, r2 = 0.85, p = < 0.001). Trauma was the most common cause (3512, 35.83%) with intentional self-harm (X60–X84), transport accidents (V01–V99) and assault (X85–Y09) being the most common mechanisms of injury. Traumatic fatalities were younger and a larger proportion were male compared to non-traumatic causes (p < 0.001). Overall median Charlson Comorbidity Index (Quan) was 0 [0–2] with a lower index noted for traumatic causes (p < 0.001). Trauma resulted in a median of 26.1 [3.65–49.22] years of life lost per patient compared to 0 [0–3.65] for non-traumatic causes (p < 0.001). Regional variations in mortality rate were observed with lower population density correlating with higher mortality rate (ρ = − 0.64, p = 0.002).
Conclusions
Prehospital mortality from haemorrhage decreased between 2012 and 2021. Trauma was the most common cause which resulted in many years of life lost in a population with a low burden of comorbidities. There were considerable regional differences with low population density associated with higher mortality rate from prehospital haemorrhage.
Introduction
Haemorrhage is a major cause of preventable mortality with causes including trauma, aortic aneurysms, gastrointestinal bleeds, haemoptysis, and pregnancy related haemorrhage. Traumatic haemorrhage has been most well studied and data from modern civilian trauma systems suggest that most fatalities from trauma occur within the first hour due to exsanguination [1, 2].
Emergency care of the bleeding patient has evolved in recent years with the advent of coagulation factor concentrates, antidotes for oral anticoagulants and improved understanding of the role of calcium and fibrinogen. Viscoelastic tests have also enabled goal directed therapy according to the individual needs of each patient. The treatment of massive bleeding typically involves volume replacement with high-ratio blood component or whole blood transfusion typically regarded as superior to intravenous crystalloids. However, there is conflicting evidence regarding prehospital blood transfusion in the prehospital setting [3, 4].
While blood products are lifesaving in some circumstances, they must not be used unnecessarily as they are in limited supply and carry a small risk of complications. Further research is needed to assess the benefit of prehospital blood transfusion in Sweden and the number of prehospital fatalities due to bleeding is a key missing piece of information. This study aims to calculate age-standardized mortality rate due to prehospital haemorrhage on a national and regional level and to describe the fatality’s defining characteristics.
Methods
The study is a national retrospective cohort study using the Swedish Cause of Death Registry (CDR) and National Patient Registry (NPR) both managed by the Swedish National Board of Health and Welfare. These databases are uniquely complete datasets that can be cross-referenced using unique personal identification numbers. This method has been previously established as a method to identify prehospital deaths in other populations [5,6,7].
Data sources
The CDR contains the cause of death for fatalities that occur in Sweden recorded as International Statistical Classification of Diseases, Injuries and Deaths with the tenth edition (ICD-10) in use since 2011. The cause of death is based upon a physician’s report or autopsy. The NPR contains all hospital admissions and out-patient visits to specialist healthcare providers. Population data from the official statistics of Sweden was used to calculate age-standardized mortality rates [8].
Study population
Patients that met the following criteria were included:
-
(1)
A fatality registered in CDR with a date of death between 2012-01-01 and 2021-12-31.
-
(2)
The primary cause of death was one of the ICD-10 codes in Appendix 1. For diagnoses resulting from injuries or external causes (S00–T98) all causes were included.
-
(3)
The patient was not registered in the NPR:
-
(a)
With a date of admission on the same date as the date of death.
-
(b)
As currently admitted to a hospital.
-
(a)
-
(4)
Has a valid personal identification number.
-
(5)
Death occurred in Sweden.
A total of 190 fatalities that matched the first two inclusion criteria were excluded from the study due to an invalid identification number.
Comorbidities
ICD-10 codes from the five most recent hospital admissions and healthcare visits in the NPR for each fatality were used to calculate Charlson Comorbidity Index (Quan) [9] (CCI) scores.
Ethical considerations
As the study does not include any identifiable patient data it is exempt from approval by the Swedish Ethical Review Authority. Instead, the Swedish National Board of Health and Welfare reviews the need for ethical approval as part of application for registry data and found that the study was indeed exempt. The dataset was pseudonymized by the National Board of Health and Welfare ensuring that no identifiable patient data reached the authors. We certify that the study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and later amendments or comparable ethical standards.
Endpoints
The primary outcome was age-standardized mortality rate from prehospital deaths due to haemorrhage per 100,000 inhabitants in Sweden. Secondary outcomes included patient characteristics, comorbidities, causes of death, injury mechanisms and places of residence. Subgroup analyses of the primary and secondary outcomes were performed comparing deaths from trauma with non-traumatic causes.
Statistical methods
Data was analyzed in R [10] using the tidyverse [11] with p-values < 0.05 considered significant. The packages epitools [12] and icd [13] were used to calculate age-standardized mortality rates and comorbidity scores respectively. Age-standardized mortality rates were calculated using direct standardization based on the standard population of Sweden year 2000 [14]. Life years lost were calculated per case by subtracting life-expectancy at birth (according to Statistics Sweden) from age at death with patients less than 1 year old excluded.
Results
A total of 9801 fatalities from prehospital haemorrhage between 2012 and 2021 were identified and a majority were male (6365, 64.9%). The median age was 71 [55–82] with a range of 0–107 years of age (Table 1). Age-standardized mortality rate ranged from 8.18 to 10.97 fatalities per 100,000 population per year (Table 2) with a significant decline over the study period (coefficient = − 0.28, r2 = 0.85, p = < 0.001).
Causes of death
Non-traumatic causes contributed most to the decrease in mortality rate (coefficient = − 0.24, r2 = 0.81, p = < 0.001) while mortality from traumatic causes remained constant (coefficient = − 0.04, r2 = 0.12, p = 0.17). The most common cause of death from prehospital haemorrhage was trauma which accounted for 3512 (35.8%) cases with the most common types of trauma being polytrauma and injuries to the chest (Table 3). Intentional self-half (X60–X84) was the most common mechanism of injury followed by transport accidents (V01–V99) and assault (X85–Y09) (Table 4). The only mechanism of injury which displayed a significant change in mortality rate was assault which increased over the study period (coefficient = 0.03, r2 = 0.53, p = 0.01). In absolute terms, the number of fatalities due to assault more than doubled from 30 in 2012 to a peak of 67 in 2020. No prehospital fatalities from pregnancy related haemorrhage were seen.
Places of residence
The average annual age-standardized mortality rate per 100,000 population ranged from 6.86 in Region Kronoberg to 11.88 in Region Norrbotten (Table 5). Lower population density was correlated with higher average overall mortality rates (ρ = − -0.64, p = 0.002).
Comorbidities and years of life lost
The study population had a low burden of comorbidities with a median overall CCI of 0 [0–2] and the CCI was lower in patients deceased due to trauma compared to non-traumatic causes (p < 0.001). All types of Charlson comorbidities were more prevalent in the non-traumatic causes group except HIV/AIDS and mild liver disease (Table 6). A total of 97,771 years of life were lost due to trauma over the study period which was more than all other causes combined (arterial aneurysm and rupture = 8219, gastrointestinal bleeds = 13,939, haemoptysis = 1048, other = 2112, procedure related = 140). Trauma resulted in a median of 26.1 [3.65–49.22] years of life lost per patient compared to 0 [0–3.65] for non-traumatic causes (p < 0.001). A total of 863 (8.81%) patients were on anticoagulants (Z92.1) which were more prevalent in the non-traumatic causes group (152, 11.30%) compared to traumatic causes (711, 4.32%) (p < 0.001).
Discussion
This study represents the first time that all prehospital fatalities from haemorrhage on a national level have been studied over a consecutive time period. A key finding was the significant decline in prehospital mortality rate from haemorrhage which was mostly attributed to non-traumatic causes.
Patient demographics
Recent data from a Swedish trauma center [15] found that median age in bleeding trauma patients was 39 years and a study from Texas, USA [2] found similar results with a median age of 35.4 in haemorrhagic deaths. Prehospital fatalities from traumatic haemorrhage had a higher median age of 50 which suggests that age may be a risk factor for rapid demise before arrival at hospital in setting of traumatic haemorrhage. Males were overrepresented in the present study which is consistent with the incidence of major bleeding in trauma [15].
Causes of death
Prehospital haemorrhage accounted for approximately 1% of all deaths, 11.77% of suicide and 47.03% of fatalities from assault in Sweden over the study period [16]. Overall national age-standardized mortality rate from all causes decreased over the study period whereas mortality from external causes (V01–Y98) did not change significantly [16]. The changes in mortality rate from prehospital haemorrhage followed a similar pattern. The advent of direct oral anticoagulants and screening for aortic aneurysms are two possible contributing factors which have both contributed to decreased mortality from bleeding [17, 18].
Places of residence
Regional differences in age-standardized mortality rate were considerable with Sweden’s most northerly region of Norrbotten exhibiting 1.7 times higher mortality rate compared to Kronoberg in the south. Higher population density was negatively correlated with mortality rate which raises the question if there are regional differences in prehospital care that influence prehospital mortality from haemorrhage.
Prehospital blood transfusion has been shown to be especially beneficial when transport times exceed 20 min [19] and a recent study found that median transport time was 47 min for severely bleeding trauma patients in Sweden’s largest city of Stockholm [15]. Transport times appear to be an important target of future investigations to determine which regions may have the greatest benefit of prehospital blood transfusion programs.
Comorbidities and years of life lost
The study illustrates that previously healthy individuals are susceptible to massive haemorrhage especially when caused by trauma. Interestingly, traumatic deaths from prehospital haemorrhage were associated with a lower burden of comorbidities which contrasts with previous studies which have found CCI to predict mortality after trauma [20]. The prevalence of atrial fibrillation in Sweden is approximately 3% [21] which suggests that patients on anticoagulants are overrepresented in the study population. Further research is needed to determine if anticoagulants are associated with an increased risk of prehospital massive haemorrhage.
Limitations
Classification of a fatality as caused by haemorrhage was done based on ICD-10 codes on a registry level. The included ICD-10 codes were chosen based on the reasoning that bleeding is the most probable consequence of an injury or disease for it to be fatal outside of hospital. We believe this is the best possible representation of haemorrhagic deaths at the national level. However, there is a small degree of uncertainty regarding the degree and type of bleeding particularly in severely traumatized patients who often have multiple injuries.
Retrospective studies have inherent limitations including the reliability of registry data which the present study mitigates by using reliable government registries. For example, the CDR is a complete dataset for Swedish residents and a cause of death is available for > 99% of fatalities [14]. Data quality is regarded as high since reporting is mandatory, related to remuneration and data is aggregated from electronic medical and tax records [22]. Additionally, cause of death was based on autopsy in a majority of cases (6,608, 67.42%) which results in improved reliability compared to the general population where autopsy is less common [23].
Cross-referencing the CDR and NPR requires a valid personal identification number meaning that non-residents were excluded. Over the study period there were 10–30 fatalities per year with an invalid identification number that matched the diagnosis criteria. However, these fatalities could have occurred anywhere meaning the number of prehospital cases are much fewer and thus unlikely to impact the study’s results.
The study classifies a fatality as prehospital when there is no hospital admission on the date of death. However, the place of death was notably still recorded as “hospital” on the death certificates of 1,608 (22.7%) patients. These patients were likely deemed possible survivors by first responders yet were impossible to resuscitate on arrival. Changes to emergency treatment of massive haemorrhage would potentially have a large impact on this subgroup making it an especially interesting target of future investigations.
Conclusions
There was a significant decrease in prehospital mortality from haemorrhage between 2012 and 2021 and non-traumatic causes contributed most to the decline. The most common cause of death from prehospital haemorrhage was trauma which resulted in many years of life lost in a patient population with a low burden of comorbidities. Large regional differences in mortality were noted with higher mortality rate correlating with lower population density. The study provides novel insight into the epidemiology of prehospital fatalities from haemorrhage on a national level which may help guide prehospital transfusion programs and promote the responsible use of blood products in Sweden and similar healthcare systems.
Availability of data and materials
The data that support the findings of this study are available from the Swedish Board of Health and Welfare pending an approved application. Certain data on a group level is publicly available at: https://sdb.socialstyrelsen.se/if_dor/val.aspx (cited as Socialstyrelsen. Dödsorsaker [Socialstyrelsens statistikdatabas]. Stockholm; 2024).
Abbreviations
- CDR:
-
Cause of death registry
- NPR:
-
National patient registry
- ICD-10:
-
International statistical classification of diseases, injuries and deaths—10th edition
- CCI:
-
Charlson comorbidity index (Quan)
References
de Knegt C, Meylaerts SAG, Leenen LPH. Applicability of the trimodal distribution of trauma deaths in a Level I trauma centre in the Netherlands with a population of mainly blunt trauma. Injury. 2008;39:993–1000.
Kalkwarf KJ, Drake SA, Yang Y, Thetford C, Myers L, Brock M, et al. Bleeding to death in a big city: an analysis of all trauma deaths from hemorrhage in a metropolitan area during 1 year. J Trauma Acute Care Surg. 2020;89:716–22.
Crombie N, Doughty HA, Bishop JRB, Desai A, Dixon EF, Hancox JM, et al. Resuscitation with blood products in patients with trauma-related haemorrhagic shock receiving prehospital care (RePHILL): a multicentre, open-label, randomised, controlled, phase 3 trial. Lancet Haematol. 2022;9:e250–61.
Sperry JL, Guyette FX, Brown JB, Yazer MH, Triulzi DJ, Early-Young BJ, et al. Prehospital plasma during air medical transport in trauma patients at risk for hemorrhagic shock. N Engl J Med. 2018;379:315–26. https://doi.org/10.1056/NEJMoa1802345.
Bäckström D, Larsen R, Steinvall I, Fredrikson M, Gedeborg R, Sjöberg F. Deaths caused by injury among people of working age (18–64) are decreasing, while those among older people (64+) are increasing. Eur J Trauma Emerg Surg. 2018;44:589–96.
Bäckström D, Steinvall I, Sjöberg F. Change in child mortality patterns after injuries in Sweden: a nationwide 14-year study. Eur J Trauma Emerg Surg. 2017;43:343–9.
Gedeborg R, Chen LH, Thiblin I, Byberg L, Melhus H, Michaelsson K, et al. Prehospital injury deaths-Strengthening the case for prevention: Nationwide cohort study. J Trauma Acute Care Surg. 2012;72:765–72.
Statistics Sweden. Folkmängden per distrikt, landskap, landsdel eller riket efter kön [Internet]. [cited 2024 Mar 31]. Available from: https://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__BE__BE0101__BE0101A/FolkmangdDistrikt/.
Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J-C, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43:1130–9.
R Core Team. R: A Language and Environment for Statistical Computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2023 [cited 2023 Dec 19]. Available from: https://www.R-project.org.
Wickham H, Averick M, Bryan J, Chang W, McGowan L, François R, et al. Welcome to the Tidyverse. J Open Source Softw. 2019;4:1686.
Tomas J. Aragon. Epitools: epidemiology tools. 2020.
Wasey J, Lang M, R Core Team. ICD: comorbidity calculations and tools for ICD-9 and ICD-10 Codes. 2023.
Socialstyrelsen. Dödsorsaksstatistik—Historik, produktionsmetoder och tillförlitlighet. Stockholm; 2010.
van Wyk P, Wannberg M, Gustafsson A, Yan J, Wikman A, Riddez L, et al. Characteristics of traumatic major haemorrhage in a tertiary trauma center. Scand J Trauma Resusc Emerg Med. 2024. https://doi.org/10.1186/s13049-024-01196-z.
Socialstyrelsen. Dödsorsaker [Socialstyrelsens statistikdatabas] [Internet]. Stockholm; 2024 [cited 2024 Apr 10]. Available from: https://sdb.socialstyrelsen.se/if_dor/val.aspx.
Wanhainen A, Hultgren R, Linné A, Holst J, Gottsäter A, Langenskiöld M, et al. Outcome of the Swedish nationwide abdominal aortic aneurysm screening program. Circulation. 2016;134:1141–8.
Glise Sandblad K, Schulman S, Rosengren A, Sörbo J, Philipson J, Hansson PO. Association of type of oral anticoagulation with risk of bleeding in 45,114 patients with venous thromboembolism during initial and extended treatment—a nationwide register-based study. J Intern Med. 2023;294:743–60.
Pusateri AE, Moore EE, Moore HB, Le TD, Guyette FX, Chapman MP, et al. Association of prehospital plasma transfusion with survival in trauma patients with hemorrhagic shock when transport times are longer than 20 minutes: a post hoc analysis of the PAMPer and COMBAT clinical trials. JAMA Surg. 2020;155: e195085.
Bouamra O, Jacques R, Edwards A, Yates DW, Lawrence T, Jenks T, et al. Prediction modelling for trauma using comorbidity and ‘true’ 30-day outcome. Emerg Med J. 2015;32:933–8.
Friberg L, Bergfeldt L. Atrial fibrillation prevalence revisited. J Intern Med. 2013;274:461–8.
Socialstyrelsen. Det statistiska registrets framställning och kvalitet Patientregistret Innehållsförteckning. 2022;1:1–24.
Rosendahl A, Mjörnheim B, Eriksson LC. Autopsies and quality of cause of death diagnoses. SAGE Open Med. 2021;9:20503121211037170.
Acknowledgements
The authors thank the statistician He Zhang, Ph.D. at Linköping University for her valuable insights.
Funding
Open access funding provided by Linköping University. This work was supported by the Department of Biomedical and Clinical Sciences at Linköping University.
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Contributions
OVO: data analysis and writing of first draft. DB: conceptualization of study design and data acquisition. AW: Interpretation of data and critical review of results and final draft.
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Ethics approval and consent to participate
As the study does not include any identifiable patient data it is exempt from approval by the Swedish Ethical Review Authority. Instead, the Swedish National Board of Health and Welfare reviews the need for ethical approval as part of application for registry data and found that the study was indeed exempt. We certify that the study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and later amendments or comparable ethical standards.
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Not applicable.
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The authors declare that they have no competing interests.
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Appendix 1
Appendix 1
ICD-code | |
---|---|
Arterial aneurysms and rupture | |
I71 | Aortic aneurysm |
I72 | Other aneurysms |
I77.2 | Arterial rupture |
I79 | Aneurysm in aorta |
Gastrointestinal bleeds | |
I85 | Oesophageal varices |
K22 | Other diseases of oesophagus |
K25 | Gastric ulcer |
K26 | Duodenal ulcer |
K27 | Peptic ulcer, site unspecified |
K28 | Gastrojejunal ulcer |
K62.5 | Haemorrhage of anus and rectum |
K66.1 | Haemoperitoneum |
K92 | Other diseases of digestive system |
Pregnancy related haemorrhage | |
O20 | Haemorrhage in early pregnancy |
O44.1 | Placenta praevia with haemorrhage |
O46 | Antepartum haemorrhage, not elsewhere classified |
O72 | Postpartum haemorrhage |
Haemoptysis | |
R04 | Haemorrhage from respiratory passages |
Other causes of haemorrhage | |
D62 | Acute posthaemorrhagic anaemia |
D69.9 | Haemorrhagic condition, unspecified |
R57.1 | Hypovolemic shock |
R58 | Haemorrhage, not elsewhere classified |
Procedure related haemorrhage | |
T81.0 | Haemorrhage and haematoma complicating a procedure, not elsewhere classified |
Trauma | |
S11 | Open wound of neck |
S18 | Traumatic amputation at neck level |
S19 | Other and unspecified injuries of neck |
S21 | Open wound of thorax |
S25 | Injury of blood vessels of thorax |
S26 | Injury of heart |
S27 | Injury of other and unspecified intrathoracic organs |
S28 | Crushing injury of thorax and traumatic amputation of part of thorax |
S29 | Other and unspecified injuries of thorax |
S31 | Open wound of abdomen, lower back and pelvis |
S35 | Injury of blood vessels at abdomen, lower back and pelvis level |
S36 | Injury of intra-abdominal organs |
S37 | Injury of urinary and pelvic organs |
S38 | Crushing injury and traumatic amputation of part of abdomen, lower back and pelvis |
S39 | Other and unspecified injuries of abdomen, lower back and pelvis |
S41 | Open wound of shoulder and upper arm |
S45 | Fracture of shoulder and upper arm |
S47 | Crushing injury of shoulder and upper arm |
S48 | Traumatic amputation of shoulder and upper arm |
S49 | Other and unspecified injuries of shoulder and upper arm |
S51 | Open wound of forearm |
S55 | Injury of blood vessels at forearm level |
S57 | Crushing injury of forearm |
S58 | Traumatic amputation of forearm |
S59 | Other and unspecified injuries of forearm |
S61 | Open wound of wrist and hand |
S65 | Injury of blood vessels at wrist and hand level |
S67 | Crushing injury of wrist and hand |
S68 | Traumatic amputation of wrist and hand |
S69 | Other and unspecified injuries of wrist and hand |
S71 | Open wound of hip and thigh |
S75 | Injury of blood vessels at hip and thigh level |
S77 | Crushing injury of hip and thigh |
S78 | Traumatic amputation of hip and thigh |
S79 | Other and unspecified injuries of hip and thigh |
S81 | Open wound of lower leg |
S85 | Injury of blood vessels at lower leg level |
S87 | Crushing injury of lower leg |
S88 | Traumatic amputation of lower leg |
S89 | Other and unspecified injuries of lower leg |
S91 | Open wound of ankle and foot |
S95 | Injury of blood vessels at ankle and foot level |
S97 | Crushing injury of ankle and foot |
S98 | Traumatic amputation of ankle and foot |
S99 | Other and unspecified injuries of ankle and foot |
T00–07 | Injuries involving multiple body regions |
T09–14 | Injuries to unspecified parts of trunk, limb or body region |
T79.2 | Traumatic secondary and recurrent haemorrhage |
T79.4 | Traumatic shock |
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von Olnhausen, O., Wladis, A. & Bäckström, D. Incidence and characteristics of prehospital fatalities from haemorrhage in Sweden: a nationwide observational study. Scand J Trauma Resusc Emerg Med 32, 96 (2024). https://doi.org/10.1186/s13049-024-01269-z
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DOI: https://doi.org/10.1186/s13049-024-01269-z