Hossein Alimohammadi1, Farahnaz Bidarizerehpoosh2, Farzaneh Mirmohammadi1, Ali Shahrami1, Kamran Heidari3, Anita Sabzghabaie3, Shahram Keikha4. 1. Department of Emergency Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 2. Department of Pathology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 3. Department of Emergency Medicine, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 4. Department of Emergency Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract
INTRODUCTION: Based on previous studies, cardiovascular diseases, traffic accidents, traumas and cancers are the most important etiology of mortalities in emergency departments (ED). However, contradictory findings have been reported in relation to mortality in emergency departments. Therefore, the present study was undertaken to evaluate the role of clinical factors in mortality among patients referring to an emergency department in a third-level hospital in Tehran, Iran. METHODS: In the present case-control study, all the patients over 18 years of age were evaluated, referring to the ED of Imam Hossein Hospital, Tehran, Iran, from the beginning of 2009 to the end of 2010. The patients died in the ED were placed in the case group and those discharged or hospitalized in other hospital wards in the control group. Demographic data, background diseases, and the final diagnoses were recorded. Chi-squared test, multivariate logistic regression, and Pearson's correlation coefficient were used to evaluate the relationship between the variables mentioned above and patient mortality. RESULTS: 2907 patients (969 (59.9% male) in the case and 1938 (62.2% male) in the control groups) were evaluated. Cardiovascular diseases (39.2%), severe traumas (18.5%), and cerebrovascular accidents (17.7%) were the most frequent etiology of patient mortality in ED. Multivariate regression analysis showed that presentation with cardiovascular complaints (OR=7.3; 95% CI: 3.5-16.1; p<0.001), a history of hypertension (OR=5.4; 95% CI: 1.2-12.3; p<0.001), severe trauma (OR=4.6; 95% CI: 2.0-13.2; p<0.001), age over 60 (OR=3.8; 95% CI: 1.8-7.8; p<0.01) and a final diagnosis of renal disease (OR=3.4; 95% CI: 2.1-6.4; p<0.001) were factors that increased the odds of mortality in patients referring to the ED. Multivariate regression analysis in patients over 60 years showed that sepsis was an independent factor increasing the risk of death (OR=2.9; 95% CI: 1.3-5.9; p=0.009). A patient's risk of death increases with an increase in the number of risk factors in that patient (r(2)=0.96; p=0.02). CONCLUSION: It appears the odds of mortality in patients referring to ED with cardiovascular complaints, a history of hypertensive, severe trauma, age over 60 and a final diagnosis of renal disease are higher versus other patients. In addition, the patients' odds of death increase with an increase in the number of risk factors. Such an increase is more noticeable at age over 60.
INTRODUCTION: Based on previous studies, cardiovascular diseases, traffic accidents, traumas and cancers are the most important etiology of mortalities in emergency departments (ED). However, contradictory findings have been reported in relation to mortality in emergency departments. Therefore, the present study was undertaken to evaluate the role of clinical factors in mortality among patients referring to an emergency department in a third-level hospital in Tehran, Iran. METHODS: In the present case-control study, all the patients over 18 years of age were evaluated, referring to the ED of Imam Hossein Hospital, Tehran, Iran, from the beginning of 2009 to the end of 2010. The patients died in the ED were placed in the case group and those discharged or hospitalized in other hospital wards in the control group. Demographic data, background diseases, and the final diagnoses were recorded. Chi-squared test, multivariate logistic regression, and Pearson's correlation coefficient were used to evaluate the relationship between the variables mentioned above and patient mortality. RESULTS: 2907 patients (969 (59.9% male) in the case and 1938 (62.2% male) in the control groups) were evaluated. Cardiovascular diseases (39.2%), severe traumas (18.5%), and cerebrovascular accidents (17.7%) were the most frequent etiology of patient mortality in ED. Multivariate regression analysis showed that presentation with cardiovascular complaints (OR=7.3; 95% CI: 3.5-16.1; p<0.001), a history of hypertension (OR=5.4; 95% CI: 1.2-12.3; p<0.001), severe trauma (OR=4.6; 95% CI: 2.0-13.2; p<0.001), age over 60 (OR=3.8; 95% CI: 1.8-7.8; p<0.01) and a final diagnosis of renal disease (OR=3.4; 95% CI: 2.1-6.4; p<0.001) were factors that increased the odds of mortality in patients referring to the ED. Multivariate regression analysis in patients over 60 years showed that sepsis was an independent factor increasing the risk of death (OR=2.9; 95% CI: 1.3-5.9; p=0.009). A patient's risk of death increases with an increase in the number of risk factors in that patient (r(2)=0.96; p=0.02). CONCLUSION: It appears the odds of mortality in patients referring to ED with cardiovascular complaints, a history of hypertensive, severe trauma, age over 60 and a final diagnosis of renal disease are higher versus other patients. In addition, the patients' odds of death increase with an increase in the number of risk factors. Such an increase is more noticeable at age over 60.
Patient mortality in emergency departments (ED) is a problem which has aggravated in recent years; in this context the mortality rate has increased 26% from 1998 to 2000 in the United States (1, 2). Previous studies have shown that cardiovascular conditions, traffic accidents, traumas and cancers are the most important etiology of mortalities in ED (3). However, the etiology differs in various geographical locations (4). For example, it has been reported that 15-60% of all the mortalities in hospitals occur in ED (5, 6). Such discrepancies in reports might be attributed to the type of referred patients, crowdedness, and whether the department is an educational center or not (7-9). In recent years, several attempts have been made to identify factors responsible for patient mortality (9-13). However, the results have been contradictory in most cases, i.e. some reports suggested a phenomenon or a medical condition as a risk factor while others rejected such claims. Therefore, more studies are needed to make a true judgment about the patient mortality in ED. The present study was carried out to evaluate the role of clinical factors and variables in the mortality of patients referring to the ED of a third-level hospital through 2009-2010.
Methods
In the present case-control study patients, over 18 years of age were enrolled, referred to the ED of Imam Hossein Hospital (about 6000 admission/month) in Tehran, Iran, from the beginning of 2009 to the end of 2010. The protocol of the study was approved by the Ethics Committee of Shahid Beheshti University of Medical Sciences. During the study period, researchers have observed the principles of Helsinki Declaration. Before beginning the study the patients, their family members, or acquaintances signed an informed consent form. Data were collected from patient files. For those cases who had file deficiencies, data were completed and collected during follow-ups.Patients died in the ED through 2009-2010 were included in the case group. The subjects in the control group consisted of patients discharged from ED or hospitalized in other wards of the hospital. The patients were followed up in a week after being discharged. Exclusion criteria consisted of having no interest in taking part of the study, outpatient admission, lack of possibility to follow the patient due to dropout from the study based on personal request (the control group) or transfer to other centers, and succumbing to death before being admitted into the ED. It should be pointed out that those who died in the control group during 48 hours after decision-making process were excluded from the study. The subjects were selected using a simple sampling technique. To this purpose, at the end of each day all the patients died in the ED were listed based on files’ number of which two files were randomly selected and evaluated. For each case, two control patients were randomly selected from the discharged or hospitalized patients of the same day. The number of subjects in each group was estimated at 117 subjects at α=0.05 and β=0.1 considering the odds ratio of 3.2 for death in patients with cardiovascular conditions based on previous studies (14).Data were collated and recorded by a trained emergency physician. Totally, 969 deceased patients during a two-year period were evaluated in the case group and 1938 ones in the control. Demographic data (age, gender and educational status), underlying diseases (diabetes, cardiovascular conditions, hypertension, cancer, AIDS, renal, and hepatic diseases), and the final diagnoses were recorded. The diagnoses were categorized into the eight groups of cardiac conditions (ischemiccardiac diseases, acute myocardial infarction, coronary atherosclerotic diseases, and cardiac insufficiency), renal diseases (acute renal insufficiency, nephritis, etc.), trauma, cancer, sepsis, pneumonia, cerebrovascular accident and others. Trauma was divided into two groups including minor and major traumas. Minor traumas consisted of muscle and tendon strains, sprains, and joint injuries; major traumas contained spinal cord injuries, intracranial injuries, penetrating abdominal injuries, blunt hemorrhagic abdominal injuries, and major chest injuries. Other conditions consisted of all the other diagnoses, including syncope, infection, psychological disorders, nervous system disorders, musculoskeletal disorders, skin and connective tissue disorders, and mild traumas.Flowchart of patient selectionData were analyzed with STATA 11.0 statistical software. Chi-squared test and independent t-test were used to compare qualitative and quantitative variables, respectively. Subsequently, multivariate logistic regression was performed to determine independent risk factors of mortality. The results were reported as odds ratios (OR) at a 95% confidence interval. In addition, Pearson’s correlation coefficient was used to evaluate the correlation between the number of risk factors in one patient and odds of death. Statistical significance was defined as p<0.05.
Results
Finally, 2907 patients (969 cases and 1938 controls) were evaluated (Figure 1). The means and standard deviations of patient ages in the case and control groups were 67.4±9.6 and 46.8±11.7 years, respectively (p< 0.0001). There were 575 (59.3%) females and 1206 (62.2%) males in the case and control groups, respectively (p=0.13). In the case group, 562 (58%) patients had a history of hypertension, 251 (25.9%) cardiac diseases, 95 (9.8%) cancer, and 94 (9.7%) renal diseases. Chi-squared test showed a significant relationship between underlying diseases and mortality (Table 1). The most frequent final diagnoses in the case group consisted of cardiopulmonary diseases (39.2%), severe traumas (18.5%), cerebrovascular accident (17.7%), sepsis (13.1 %), renal diseases (3.7%), pneumonia (3.1%), and cancer (2.3%) in descending order (Table 2). Logistic regression showed that age over 60 (OR=3.8; 95% CI: 1.8-7.8; p=0.01), a history of hypertension (OR=5.4; 95% CI: 1.2-12.3; p<0.001), presentation with cardiac complaints (OR=7.3; 95% CI: 3.5-16.1; p<0.001), severe trauma (OR=4.6; 95% CI: 2.0-13.2; p<0.001), and renal diseases (OR=3.4; CI: 2.1-6.4; p<0.001) were independent factors that increased the odds of death in patients admitted into the ED. However, the odds of death were lower in patients with other diseases (OR=0.2; 95% CI: 0.06-0.9; p<0.001) (Table 3). Multivariate regression analysis of patients over 60 years showed that sepsis, as an independent factor, increased the odds of mortality in such patients (OR=2.9; 95% CI:1.3-5.9; p<0.009). Evaluation of the relationship between the presence of several risk factors in one patient and the death risk showed that the odds of death increased in an individual with the presence of several risk factors (r2=0.96; p=0.02) (Figure 2).
Figure 1
Flowchart of patient selection
Table 1
The separate subjects’ demographic data for the case and control groups
Variable
Case
Control
P
Age (Mean ± SD)
Male
69.9±10.2
48.2±12.5
<0.0001
Female
64.7 ±6.8
45.1±11.0
Total
67.4±9.6
46.8±11.7
Gender
Male
575 (59.3)
1206 (62.2)
0.13
Female
394 (40.7)
732 (37.8)
Marital status
Single
79 (87.2)
126 (6.5)
0.1
Married
890 (91.8)
1812 (93.5)
Educational status
< High school
509 (52.5)
1066 (55.0)
0.2
≤ High school
460 (47.5)
870 (45.0)
Underlying diseases
AIDS
1 (0.1)
3 (0.15)
0.74
Hepatic disease
63 (6.5)
192 (9.9)
0.002
Renal disease
105 (10.8)
238 (12.3)
0.25
Cancer
22 (2.3)
47 (2.4)
0.8
Cardiac disease
251 (25.9)
194 (10.0)
<0.0001
Hypertension
562 (58)
341 (17.6)
<0.0001
Diabetes
166 (17.1)
270 (13.9)
0.02
Table 2
The subjects’ final diagnosis stratifying for the case and control groups
Disease
Case
Control
P
Cardiac disease
380 (39.2)
215 (11.1)
<0.0001
Severe trauma
179 (18.5)
165 (8.5)
<0.0001
CVA
172 (17.7)
285 (14.7)
0.03
Sepsis
127 (13.1)
296 (15.3)
0.12
Renal disease
36 (3.7)
12 (0.6)
<0.0001
Pneumonia
30 (3.1)
44 (2.3)
0.2
Cancer
22 (2.3)
47 (2.4)
0.8
*Others
23 (2.4)
874 (45.1)
<0.0001
Includes syncope, infections, psychological conditions, nervous system disorders, musculoskeletal diseases, skin and connective tissue conditions, and mild trauma. CVA: Cerebrovascular accident.
Table 3
Odds ratio (OR) at a confidence interval of 95% for factors affecting patient mortality
Factor
OR (CI: 95%)
P
Presentation with cardiac complaint
7.3 (3.5-16.1)
<0.001
A history of hypertension
5.4 (1.2-12.3)
<0.001
Presentation with severe trauma
4.6 (2.0-13.2)
<0.001
Age>60
3.8 (1.8-7.8)
0.01
A final diagnosis of renal disease
3.4 (2.1-6.4)
<0.001
Other disease*
0.2 (0.06-0.9)
<0.001
Figure 2
Association of number of risk factors and odds of death stratified by age.
The separate subjects’ demographic data for the case and control groupsThe subjects’ final diagnosis stratifying for the case and control groupsIncludes syncope, infections, psychological conditions, nervous system disorders, musculoskeletal diseases, skin and connective tissue conditions, and mild trauma. CVA: Cerebrovascular accident.Odds ratio (OR) at a confidence interval of 95% for factors affecting patient mortalityAssociation of number of risk factors and odds of death stratified by age.
Discussion:
The results of the present study showed that the odds of death in patients referring to ED with cardiac complaints, a history of hypertension, severe trauma, age over 60 and renal conditions, are higher than those in patients with other diseases. In addition, there is an increase in the odds of death with an increase in the number of risk factors. Such an increased risk is more prominent in patients over 60. Although the incidence of mortalities due to heart diseases has significantly decreased in recent years (from 64% to 49%), they still have the highest incidence rate (15, 16). The present study showed that cardiac complaints are the most important etiology of early death in patients referred to ED. Since studies have shown that the majority of deaths due to myocardial infarction take place during the first few hours after the appearance of symptoms and signs, the most important physiologic risk in cardiac patients is a delay in instituting therapeutic care. Thus, early management of such patients, especially for those who have myocardial infarction, might save their lives and decrease mortality rate. (17). Hypertension is an important and independent risk factor for patient mortality. The analyses carried out in the present study showed that the concomitant affliction with hypertension and cardiac disease increases the patient’s odds of death up to 10 times (OR=10.3; CI: 5.6-18.8; P<0.001). (18, 19). In addition, hypertension leads to cardiovascular disease; therefore, hypertension has direct effects on the mortality of patients referring to ED. It was estimated in 2004 that approximately 1 billion adults all over the world (333 million people in developed countries and 639 people in developing countries) have hypertension, 4 million of whom die due to the direct effects of hypertension (20, 21). Based on world health organization (WHO), it was estimated that high blood pressure accounts for 1 in 8 deaths and is the third killer all over the world (22). Therefore, evaluation of hypertension is of utmost importance in ED; however, in most cases, it ignored or did not pay adequate attention. In the present study, a final diagnosis of renal disease was one of the factors increasing the odds of death in patients referring to the ED. consistent with the results of previous studies it indicates a graded association between decreases in glomerular filtration rate and the risk of mortality, developing cardiovascular disease and hospitalization (23, 24). While some studies have not shown an independent effect of renal disease on increasing the risk of mortality others have reported that cardiovascular effects of renal diseases result in death (25-27). This discrepancy is attributed to the fact that renal disease can lead to cardiovascular disease (26, 28) and cardiovascular disease, in itself, can result in renal diseases (25, 28). As a result, it is not easy to make a distinction between the outcomes of these two diseases. That’s why patients with renal disease, who have cardiovascular diseases too, have more severe outcomes, including a decrease in life expectancy and an increase in the risk of mortality (29-31). In the present study, sepsis was a significant factor affecting the odds of death in patients over 60, consistent with the results of other studies in this age group (12). When the frequency of septic cases was evaluated in different age groups, it was shown that of 182 patients with sepsis in the case group, 86.3% were over 60 years; however, only 52.2% of patients in the control group were over 60.The study sample cannot completely reflect the situation of Iranian population and include all the ethnicities in Iran. However, based on some studies, data collected in a capital city may reflect an acceptable pattern of the whole country (32). Because the aim of the study was to evaluate the effect of clinical factors on the mortality, only clinical variables were evaluated. Therefore, it is advisable to design future studies for the evaluation of environmental, geographical and social aspects so that the effects of such factors can be analyzed, too. However, the present study was the only case-control study in the Mediterranean region to evaluate the important mortality risk factors in ED. Having a large sample size was one of the advantages of the study.
Conclusion:
It appears the odds of mortality in patients referring to ED with cardiovascular complaints, a history of hypertensive, severe trauma, age over 60 and a final diagnosis of renal disease are higher compare to other patients. In addition, the patients’ odds of death increase with an increase in the number of risk factors. Such an increase is more noticeable at age over 60.
Authors: Allan J Collins; Robert N Foley; Charles Herzog; Blanche Chavers; David Gilbertson; Areef Ishani; Bertram Kasiske; Jiannong Liu; Lih-Wen Mau; Marshall McBean; Anne Murray; Wendy St Peter; Haifeng Guo; Sally Gustafson; Qi Li; Shuling Li; Suying Li; Yi Peng; Yang Qiu; Tricia Roberts; Melissa Skeans; Jon Snyder; Craig Solid; Changchun Wang; Eric Weinhandl; David Zaun; Cheryl Arko; Shu-Cheng Chen; Frederick Dalleska; Frank Daniels; Stephan Dunning; James Ebben; Eric Frazier; Christopher Hanzlik; Roger Johnson; Daniel Sheets; Xinyue Wang; Beth Forrest; Edward Constantini; Susan Everson; Paul Eggers; Lawrence Agodoa Journal: Am J Kidney Dis Date: 2011-01 Impact factor: 8.860
Authors: Nathan I Shapiro; Richard E Wolfe; Richard B Moore; Eric Smith; Elizabeth Burdick; David W Bates Journal: Crit Care Med Date: 2003-03 Impact factor: 7.598
Authors: Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul Muntner; Paul K Whelton; Jiang He Journal: Lancet Date: 2005 Jan 15-21 Impact factor: 79.321
Authors: Gelareh Z Gabayan; Stephen F Derose; Steven M Asch; Sau Yiu; Elizabeth M Lancaster; K Trudy Poon; Jerome R Hoffman; Benjamin C Sun Journal: Ann Emerg Med Date: 2011-07-29 Impact factor: 5.721
Authors: Mark J Sarnak; Andrew S Levey; Anton C Schoolwerth; Josef Coresh; Bruce Culleton; L Lee Hamm; Peter A McCullough; Bertram L Kasiske; Ellie Kelepouris; Michael J Klag; Patrick Parfrey; Marc Pfeffer; Leopoldo Raij; David J Spinosa; Peter W Wilson Journal: Circulation Date: 2003-10-28 Impact factor: 29.690
Authors: Sama Mukhtar; Syed Ghazanfar Saleem; Saima Ali; Sarfraz Ahmed Khatri; Anna Q Yaffee Journal: Pak J Med Sci Date: 2021 May-Jun Impact factor: 1.088