CC BY-NC-ND 4.0 · Ibnosina Journal of Medicine and Biomedical Sciences 2024; 16(01): 021-025
DOI: 10.1055/s-0043-1777829
Original Article

Prognostic Value of Symptoms and Signs in Geriatric Acute Pulmonary Embolism—An Analytical Study

1   Department of Emergency Medicine, University of Health Sciences Umraniye Training and Research Hospital, Istanbul, Turkey
,
2   Department of Emergency Medicine, Health of Sciences University, Bağcılar Training and Research Hospital, Istanbul, Turkey
› Author Affiliations
Funding and Sponsorship None.
 

Abstract

Objective The aim of this study was to evaluate the relationship between symptoms and short-term mortality in geriatric patients presenting to the emergency department with acute pulmonary embolism.

Materials and Methods This retrospective cohort study was conducted to evaluate the data of geriatric patients admitted to the emergency department between September 01, 2022, and March 01, 2023. The study population comprised patients who presented with acute pulmonary embolism signs and symptoms. Demographic data, vital parameters, and symptoms were noted.

Results Of the 176 patients included in the final analysis, 55 (31.2%) were female. The median of age was 76 (25th–75th percentile: 72–82.5) years. The most common symptoms were dyspnea (61.9%), fatigue (27.2%), and syncope (23.8%). There was no statistically significant difference between the survivor and nonsurvivor groups in terms of symptoms (p-values for dyspnea, syncope, chest pain, back pain, hemoptysis, extremity pain, and fatigue: 0.804, 0.765, 0.154, 0.543, 0.675, 0.342, and 0.943, respectively) (chi-squared test).

Conclusion In patients presenting to the emergency department with acute pulmonary embolism, clinicians should not prioritize based on symptoms but should evaluate patients according to clinical severity scores.


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Introduction

Acute pulmonary embolism (APE) is the obstruction of the pulmonary artery and/or its branches by a thrombus or tumor, air, fat, or amniotic fluid originating from another part of the body. APE is the third most common cardiovascular disease in the world and can be fatal if not diagnosed and treated.[1]

Since it does not have a specific clinical picture, it is difficult to diagnose, and therefore it can result in mortality. As patients may be asymptomatic or sudden cardiac death may be the first symptom, it is difficult to determine the frequency and distribution of APE. Respiratory distress, chest pain, syncope or presyncope, and hemoptysis are the leading symptoms of this condition.[2] Patients with impaired hemodynamics due to pulmonary embolism may present with arterial hypotension and shock.[3] Deep vein thrombosis is an important cause of APE, and these patients may present with the complaint of leg swelling. Pulmonary embolism can be diagnosed incidentally in imaging tests performed for another reason without any complaints or findings, or at autopsy.[4]

Depending on the location of the embolism, chest pain may be pleuritic due to necrotic areas in the lung or typical angina caused by right heart failure.[5] While embolism in the main pulmonary veins results in severe dyspnea, embolism in more distal veins may cause mild respiratory distress and cough.[6] [7] Patients with risk factors for venous thromboembolism are also at risk of APE, but 30% of those with a diagnosis of APE are reported to have no risk factor.[8] In this study, we aimed to evaluate the relationship between APE symptoms and short-term mortality in patients presenting to the emergency department.


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Materials and Methods

Study Design

This retrospective observational study was conducted at University of Health Sciences Ümraniye Training and Research Hospital a 743-bed tertiary teaching hospital with 1,132 daily emergency department presentations (annual average of the study period). The data of patients who presented to the emergency department between September 01, 2022, and March 01, 2023 were retrospectively collected.


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Study Population

The population of the study consisted of adult patients who presented to the emergency department with APE during the study period. The patients who were diagnosed with the International Classification of Diseases, 10th revision code I.26 of the World Health Organization medical classification concerning APE were identified through the computerized medical and medical history record system of the hospital. Patients with missing data were excluded from the study. The flowchart of the study is shown in [Fig. 1].

Zoom Image
Fig. 1 Flowchart of the study. ICD-10, International Classification of Diseases, 10th revision.

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Data Collection

The patients' demographic data, symptoms, comorbidities, and all-cause 30-day mortality were obtained from the hospital system. Symptoms were recorded as dyspnea, syncope, hemoptysis, fatigue, and extremity pain. Comorbidities such as diabetes mellitus, chronic obstructive pulmonary disease, hypertension, coronary artery disease, congestive heart failure, history of stroke, chronic renal failure, and active malignancy, and a history of deep vein thrombosis were noted. The national death registry system was used for the mortality data of the patients discharged from the hospital or referred to another center.


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Statistical Analysis

Data were analyzed using Jamovi (Version 1.6.21.0; The Jamovi Project, 2020; R Core Team, 2019). To evaluate the conformance of variables to the normal distribution, the Shapiro–Wilk test was conducted. The non-normally distributed data were expressed as median and 25 to 75th percentile values. Quantitative variables were compared using the Mann–Whitney U test or Student's t-test according to the normality of distribution for the two groups. Categorical data were presented as the number of cases and percentages. Relationship between categorical data and mortality was calculated using chi-squared test. A p-value less than 0.05 was considered statistically significant.


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Results

Of the 176 patients included in the final analysis, 55 (31.2%) patients were female. The median of age was 76 (25–75th percentile: 72–82.5) years. The mortality rate of our sample was 26.9%. The baseline characteristics of the enrolled patients and comparison of characteristics between the survivor and nonsurvivor groups are shown in [Table 1]. The most common symptoms were dyspnea (61.9%), fatigue (27.2%), and syncope (23.8%). The symptoms of the enrolled patients and their comparison between the survivor and nonsurvivor groups are shown in [Table 2]. There was no statistically significant difference between the two groups in terms of symptoms (p-values for dyspnea, syncope, chest pain, back pain, hemoptysis, extremity pain, and fatigue: 0.804, 0.765, 0.154, 0.543, 0.675, 0.342, and 0.943, respectively) (chi-squared test).

Table 1

Baseline characteristics of the enrolled patients and their comparison between the survivor and nonsurvivor groups

Parameters

Total

n = 176

Survivors

n = 120 (73.1%)

Nonsurvivors

n = 56 (26.9%)

p-Value

Age (years), median (25–75th percentile)

76 (72–82.5)

75 (71–80)

77 (73–83)

0.324

Gender (n, %)

Male

121 (68.7%)

85 (70.8%)

36 (64.2%)

0.134

Female

55 (31.2%)

35 (29.1%)

20 (35.7%)

Comorbidities (n, %)

Congestive heart failure

36 (20.4%)

15 (12.5%)

21 (37.5%)

0.011

Coronary artery disease

42 (23.8%)

31 (25.8%)

11 (19.6%)

0.348

Active of malignancy

54 (30.6%)

32 (26.6%)

22 (39.2%)

0.012

Diabetes mellitus

38 (21.5%)

24 (20%)

14 (25%)

0.876

Chronic obstructive pulmonary disease

34 (19.3%)

23 (19.1%)

11 (19.6%)

0.126

Hypertension

121 (68.7%)

76 (63.3%)

45 (80.3%)

0.879

Vital parameters (median, 25th and 75th percentile)

Fever

36.2 (36.1–36.9)

36.3 (36.1–36.8)

36.7 (36.1–37)

0.143

Heart rate (/minute)

99 (86–122)

99 (84–118)

111 (91–132)

0.005

Respiratory rate (/minute)

21 (19–24)

21 (19–22)

22 (18–26)

0.548

Systolic blood pressure (mm Hg)

119 (103–142)

122 (108–144)

101 (93–131)

<0.001

Diastolic blood pressure (mm Hg)

75 (63–87)

78 (67–91)

69 (54–79)

0.003

Table 2

Symptoms of the enrolled patients and their comparison between the survivor and nonsurvivor groups

Symptoms

Total

n = 176

Survivors

n = 120 (73.1%)

Nonsurvivors

n = 56 (26.9%)

p-Value

Dyspnea

109 (61.9%)

76 (63.3%)

33 (58.9%)

0.804

Syncope

42 (23.8%)

29 (24.1%)

13 (23.2%)

0.765

Chest pain

29 (16.4%)

21 (17.5%)

8 (14.2%)

0.154

Back pain

8 (4.5%)

5 (4.1%)

3 (5.3%)

0.543

Hemoptysis

9 (5.1%)

6 (5%)

3 (5.3%)

0.675

Extremity pain

24 (13.6%)

15 (12.5%)

9 (16%)

0.342

Fatigue

48 (27.2%)

38 (31.6%)

10 (17.8%)

0.943


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Discussion

In this study, we investigated the relationship between symptoms and mortality in patients with APE admitted to the emergency department. In our sample, the most common symptoms were dyspnea, fatigue, and syncope. According to the results of our study, there was no significant correlation between short-term mortality and symptoms.

It is important to use resources effectively in the emergency department and provide earlier medical support to the critically ill patient. Early recognition of critical patients and serious illnesses also ensures effective use of hospital bed capacity. Scoring systems consisting of physical examination findings, vital parameters and laboratory parameters and their combination are used for clinical decision-making and patient management.[9] [10] Pulmonary embolism severity index (PESI), simplified PESI and geriatric PESI scores are used for APE.[11] In this study, we hypothesized and tested that clinical symptoms may be associated with short-term mortality in geriatric patients with APE in the emergency department. Our results revealed that clinical symptoms were not associated with short-term mortality. It showed that clinicians cannot use symptoms to predict mortality. We think that these results may have been affected by the different presentations of geriatric patients due to their accompanying comorbidities.

APE is the third most common cause of cardiovascular death and the most common cause of death after surgery. Prompt diagnosis and treatment at the time of first admission are important since they affect both mortality and long-term complications such as secondary pulmonary hypertension and cor pulmonale.[12] [13] The absence of disease-specific clinical findings causes clinicians to encounter difficulties in diagnosis and treatment. Clinical findings vary according to the size, number, localization, and resolution rate of the embolism. Furthermore, the patient's cardiopulmonary reserve may also affect clinical manifestation.[14]

Dyspnea is perceived through neural activity related to the cortical structures responsible for the sensory perception of the brain. Since dyspnea is a perception, studies investigating its mechanism need to be defined on an individual basis but are limited due to the difficulty of measuring subjective complaints and underlying neural activity.[15] Patients often describe increased respiratory effort and increased accessory respiratory muscle activity as dyspnea. In a study investigating the role of exertional dyspnea in APE, Klok et al suggested that right ventricular dysfunction might be effective in dyspnea in these patients. They reported that cardiac and pulmonary factors had effects on the symptom of dyspnea in patients with APE.[16]

The difficulty in making the diagnosis is due to the low sensitivity and specificity of symptoms, findings, and the withdrawal of conventional or computed tomography angiography-associated contrast nephropathy required to confirm the diagnosis. One of these subtle and difficult to describe symptoms is fatigue.[17] [18] A plausible pathogenesis for fatigue may be that latent hypoxia cannot be described, especially in geriatrics. Another logical explanation may be that fatigue is presented as a symptom caused by cytokines released from the infarct tissue. Additionally, fatigue may be an indicator of prominent right ventricular impulse.

Syncope may be the first and only finding in patients with APE and is a common symptom. APE is a physiological response to acute hemodynamic instability.[19] In a meta-analysis, Barco et al investigated the relationship of hemodynamic changes in syncope and pulmonary embolism and reported the association between the echocardiographic signs of right ventricular dysfunction, hemodynamic instability, and an elevated risk of APE-related adverse outcomes within 30 days of diagnosis with syncope in patients with APE. The authors also demonstrated that decreased cardiac output was effective in the development of syncope, especially in hypotensive patients. They suggested that syncope mechanisms, such as seizures, transient arrhythmias, or vasovagal reflex where cardiac output is not affected, might be involved in the pathogenesis of syncope in normotensive patients with APE. In our sample, the second most common symptom was syncope, consistent with the literature.[20]

The cornerstone in the management of the patient with APE symptoms is to exclude life-threatening pathologies. Central pulmonary artery occlusion can be severe and sudden, while peripheral pulmonary artery occlusion can be mild and temporary. Chest pain is one of the common symptoms. Pulmonary infarction occurs in patients with peripheral pulmonary artery occlusion. It causes irritation in the pleura and chest pain.[21] Angina-like pain due to right ventricular ischemia may also be observed in patients with central pulmonary artery occlusion.[22] Therefore, in patients presenting with chest pain, in addition to cardiovascular diseases such as acute coronary syndrome and aortic dissection, APE should also be considered in the differential diagnosis.

The most important limitation of the study is its retrospective and single-center design. The small number of patients can also be considered as a limitation. To increase the generalizability of the results, we recommend multicenter studies with larger patient populations.


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Conclusion

In conclusion, according to the results of our study, in patients presenting to the emergency department with APE, clinicians should not prioritize based on symptoms but should evaluate patients according to clinical severity scores. However, there is a need for multicenter studies with larger populations to increase the generalizability of our results.


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Conflict of Interest

None declared.

Ethical Statement

Compliance with Ethical Standards: The tenets of the Helsinki agreement were followed throughout.


Ethical Approval

Ethical approval for the study was received from the local ethics committee of University of Health Sciences Ümraniye Training and Research Hospital (date 08/10/2023- number 256).


Informed Consent

We retrospectively reviewed secondary data recorded from the computer-based patient data system of the hospital and these data did not include any personal identifiable information; therefore, informed consent was waived.


  • References

  • 1 Mutlu H, Kokulu K, Sert ET, Çağlar A. Lipocalin-type prostaglandin D synthase levels are associated with the severity of pulmonary embolism. Heart Vessels 2020; 35 (07) 996-1002
  • 2 Miniati M, Prediletto R, Formichi B. et al. Accuracy of clinical assessment in the diagnosis of pulmonary embolism. Am J Respir Crit Care Med 1999; 159 (03) 864-871
  • 3 Özdemir S, Algın A. The role of platelet indices in predicting short-term mortality in elderly patients with pulmonary embolism. J Contemp Med. 2021; 11 (06) 833-837
  • 4 Akça HŞ, Algın A, Özdemir S. et al. Effect of baseline RDW and troponin levels on prognosis in patients with acute chest pain. Signa Vitae 2020; 16 (02) 97-103
  • 5 Bĕlohlávek J, Dytrych V, Linhart A. Pulmonary embolism, part I: epidemiology, risk factors and risk stratification, pathophysiology, clinical presentation, diagnosis and nonthrombotic pulmonary embolism. Exp Clin Cardiol 2013; 18 (02) 129-138
  • 6 Karabağ Y, Çınar T, Çağdaş M, Rencüzoğulları İ. The diagnostic predictive value of R wave peak time in patients with acute pulmonary embolism. Osmangazi Tip Derg 2019; 41: 360-370
  • 7 Rossi SE, Goodman PC, Franquet T. Nonthrombotic pulmonary emboli. AJR Am J Roentgenol 2000; 174 (06) 1499-1508
  • 8 White RH. The epidemiology of venous thromboembolism. Circulation 2003; 107 (23, Suppl 1): I4-I8
  • 9 Özdemir S, Algın A, Akça HŞ. et al. Predictive ability of the MEWS, REMS, and RAPS in geriatric patients with SARS-CoV-2 infection in the emergency department. Disaster Med Public Health Prep 2022; 17: e174
  • 10 Fu LH, Schwartz J, Moy A. et al. Development and validation of early warning score system: a systematic literature review. J Biomed Inform 2020; 105: 103410
  • 11 Akça HŞ, Özdemir S, Algın A, Altunok İ. Comparison of geriatric pulmonary embolism severity index (G-PESI) with PESI and s-PESI in predicting prognosis and mortality. J Health Sci Med 2022; 5 (02) 676-681
  • 12 Morrone D, Morrone V. Acute pulmonary embolism: focus on the clinical picture. [published correction appears in Korean Circ J. 2018 Jul;48(7):661–663] Korean Circ J 2018; 48 (05) 365-381
  • 13 Akca HS, Koylu R, Akıllı NB. et al. Effect of ionized calcium level on the prognosis and mortality of patients with pulmonary embolism. Am J Internal Med 2018; 6: 20-24
  • 14 Matthews JC, McLaughlin V. Acute right ventricular failure in the setting of acute pulmonary embolism or chronic pulmonary hypertension: a detailed review of the pathophysiology, diagnosis, and management. Curr Cardiol Rev 2008; 4 (01) 49-59
  • 15 Fernandes TM, Alotaibi M, Strozza DM. et al. Dyspnea postpulmonary embolism from physiological dead space proportion and stroke volume defects during exercise. Chest 2020; 157 (04) 936-944
  • 16 Klok FA, van Kralingen KW, van Dijk AP, Heyning FH, Vliegen HW, Huisman MV. Prevalence and potential determinants of exertional dyspnea after acute pulmonary embolism. Respir Med 2010; 104 (11) 1744-1749
  • 17 Press A, Khan S, McCullagh L. et al. Avoiding alert fatigue in pulmonary embolism decision support: a new method to examine 'trigger rates'. Evid Based Med 2016; 21 (06) 203-207
  • 18 O'Connell CL, Boswell WD, Duddalwar V. et al. Unsuspected pulmonary emboli in cancer patients: clinical correlates and relevance. J Clin Oncol 2006; 24 (30) 4928-4932
  • 19 García-Sanz MT, Pena-Álvarez C, López-Landeiro P, Bermo-Domínguez A, Fontúrbel T, González-Barcala FJ. Symptoms, location and prognosis of pulmonary embolism. Rev Port Pneumol 2014; 20 (04) 194-199
  • 20 Barco S, Ende-Verhaar YM, Becattini C. et al. Differential impact of syncope on the prognosis of patients with acute pulmonary embolism: a systematic review and meta-analysis. Eur Heart J 2018; 39 (47) 4186-4195
  • 21 Kaptein FHJ, Kroft LJM, Hammerschlag G. et al. Pulmonary infarction in acute pulmonary embolism. Thromb Res 2021; 202: 162-169
  • 22 Stepinska J, Lettino M, Ahrens I. et al. Diagnosis and risk stratification of chest pain patients in the emergency department: focus on acute coronary syndromes. A position paper of the Acute Cardiovascular Care Association. Eur Heart J Acute Cardiovasc Care 2020; 9 (01) 76-89

Address for correspondence

Serdar Özdemir, MD
Emergency Medicine, Department of Emergency Medicine, University of Health Sciences Umraniye Training and Research Hospital
Istanbul 34502
Turkey   

Publication History

Article published online:
12 February 2024

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  • References

  • 1 Mutlu H, Kokulu K, Sert ET, Çağlar A. Lipocalin-type prostaglandin D synthase levels are associated with the severity of pulmonary embolism. Heart Vessels 2020; 35 (07) 996-1002
  • 2 Miniati M, Prediletto R, Formichi B. et al. Accuracy of clinical assessment in the diagnosis of pulmonary embolism. Am J Respir Crit Care Med 1999; 159 (03) 864-871
  • 3 Özdemir S, Algın A. The role of platelet indices in predicting short-term mortality in elderly patients with pulmonary embolism. J Contemp Med. 2021; 11 (06) 833-837
  • 4 Akça HŞ, Algın A, Özdemir S. et al. Effect of baseline RDW and troponin levels on prognosis in patients with acute chest pain. Signa Vitae 2020; 16 (02) 97-103
  • 5 Bĕlohlávek J, Dytrych V, Linhart A. Pulmonary embolism, part I: epidemiology, risk factors and risk stratification, pathophysiology, clinical presentation, diagnosis and nonthrombotic pulmonary embolism. Exp Clin Cardiol 2013; 18 (02) 129-138
  • 6 Karabağ Y, Çınar T, Çağdaş M, Rencüzoğulları İ. The diagnostic predictive value of R wave peak time in patients with acute pulmonary embolism. Osmangazi Tip Derg 2019; 41: 360-370
  • 7 Rossi SE, Goodman PC, Franquet T. Nonthrombotic pulmonary emboli. AJR Am J Roentgenol 2000; 174 (06) 1499-1508
  • 8 White RH. The epidemiology of venous thromboembolism. Circulation 2003; 107 (23, Suppl 1): I4-I8
  • 9 Özdemir S, Algın A, Akça HŞ. et al. Predictive ability of the MEWS, REMS, and RAPS in geriatric patients with SARS-CoV-2 infection in the emergency department. Disaster Med Public Health Prep 2022; 17: e174
  • 10 Fu LH, Schwartz J, Moy A. et al. Development and validation of early warning score system: a systematic literature review. J Biomed Inform 2020; 105: 103410
  • 11 Akça HŞ, Özdemir S, Algın A, Altunok İ. Comparison of geriatric pulmonary embolism severity index (G-PESI) with PESI and s-PESI in predicting prognosis and mortality. J Health Sci Med 2022; 5 (02) 676-681
  • 12 Morrone D, Morrone V. Acute pulmonary embolism: focus on the clinical picture. [published correction appears in Korean Circ J. 2018 Jul;48(7):661–663] Korean Circ J 2018; 48 (05) 365-381
  • 13 Akca HS, Koylu R, Akıllı NB. et al. Effect of ionized calcium level on the prognosis and mortality of patients with pulmonary embolism. Am J Internal Med 2018; 6: 20-24
  • 14 Matthews JC, McLaughlin V. Acute right ventricular failure in the setting of acute pulmonary embolism or chronic pulmonary hypertension: a detailed review of the pathophysiology, diagnosis, and management. Curr Cardiol Rev 2008; 4 (01) 49-59
  • 15 Fernandes TM, Alotaibi M, Strozza DM. et al. Dyspnea postpulmonary embolism from physiological dead space proportion and stroke volume defects during exercise. Chest 2020; 157 (04) 936-944
  • 16 Klok FA, van Kralingen KW, van Dijk AP, Heyning FH, Vliegen HW, Huisman MV. Prevalence and potential determinants of exertional dyspnea after acute pulmonary embolism. Respir Med 2010; 104 (11) 1744-1749
  • 17 Press A, Khan S, McCullagh L. et al. Avoiding alert fatigue in pulmonary embolism decision support: a new method to examine 'trigger rates'. Evid Based Med 2016; 21 (06) 203-207
  • 18 O'Connell CL, Boswell WD, Duddalwar V. et al. Unsuspected pulmonary emboli in cancer patients: clinical correlates and relevance. J Clin Oncol 2006; 24 (30) 4928-4932
  • 19 García-Sanz MT, Pena-Álvarez C, López-Landeiro P, Bermo-Domínguez A, Fontúrbel T, González-Barcala FJ. Symptoms, location and prognosis of pulmonary embolism. Rev Port Pneumol 2014; 20 (04) 194-199
  • 20 Barco S, Ende-Verhaar YM, Becattini C. et al. Differential impact of syncope on the prognosis of patients with acute pulmonary embolism: a systematic review and meta-analysis. Eur Heart J 2018; 39 (47) 4186-4195
  • 21 Kaptein FHJ, Kroft LJM, Hammerschlag G. et al. Pulmonary infarction in acute pulmonary embolism. Thromb Res 2021; 202: 162-169
  • 22 Stepinska J, Lettino M, Ahrens I. et al. Diagnosis and risk stratification of chest pain patients in the emergency department: focus on acute coronary syndromes. A position paper of the Acute Cardiovascular Care Association. Eur Heart J Acute Cardiovasc Care 2020; 9 (01) 76-89

Zoom Image
Fig. 1 Flowchart of the study. ICD-10, International Classification of Diseases, 10th revision.