Abstract
Background:
Computed tomography pulmonary angiography (CTPA) is an imaging technique widely used in the diagnosis of acute pulmonary thromboembolism (PTE). Despite its disadvantages and potential risks, the overuse of CTPA has been a growing concern over the past decades.Objectives:
The objective of this study was to investigate the rate of avoidable overuse of CTPA in patients with suspected PTE and to identify factors contributing to this overuse. The study aimed to highlight the importance of proper training for physicians in using validated diagnostic algorithms to minimize the overuse of CTPA and improve patient outcomes.Methods:
In a cross-sectional study conducted between April 2016 and March 2019 at Shariati Hospital at Tehran University of Medical Sciences (TUMS), 1058 patients underwent CTPA due to suspected PTE. Wells scores were calculated retrospectively for all patients. The study defined avoidable overuse of CTPA as an imaging request without prior D-dimer testing or ignoring a negative D-dimer result in patients with low clinical pre-test probability.Results:
Two hundred and seventy-three patients were excluded from the study due to unavailable documentation or pregnancy. Among the included 785 patients, 139 (17.7%) revealed PTE on CTPA. Based on the Wells scores, 480 patients were identified as the “PTE-unlikely” group. In this group, 299 patients (62.3%) underwent CTPA directly despite recommendations to order a D-dimer test first. Of these patients, 281 (94%) cases showed negative results. Moreover, CTPA was performed inappropriately in 52 “PTE-unlikely” cases despite negative D-dimer serum levels, and only one patient was diagnosed with PTE.Conclusions:
The study revealed that 44.7% of the CTPA requests for patients with suspected PTE were avoidable, indicating the need for better adherence to current diagnostic guidelines to reduce unnecessary radiologic investigations and improve patient care.Keywords
Pulmonary Thromboembolism (PTE) Computed Tomography Pulmonary Angiography (CTPA) D-Dimer Wells Score
1. Background
Acute pulmonary thromboembolism (PTE) is a potentially life-threatening condition that is often overlooked or misdiagnosed. It has been ranked as the third most prevalent cause of death from cardiovascular complaints, following myocardial infarction and cerebrovascular accident (1, 2). PTE is a leading preventable cause of death in hospitalized patients, with an estimated incidence of 100,000 to 180,000 deaths annually in the United States alone. According to the International Cooperative Pulmonary Embolism Registry (ICOPER), the three-month cumulative mortality rate associated with PTE can be as high as 17.4% (3). To improve patient outcomes and minimize unwarranted radiologic investigations, physicians should be properly trained to use validated PTE management algorithms. Clinical pre-test probability assessment is recommended to identify eligible patients. One of the most valid clinical decision rules is the Wells score criteria (Table 1). By applying the two-tiered model, patients with scores > 4 and scores ≤ 4 are categorized as “PTE-likely” and “PTE-unlikely” groups, respectively (4). In patients with low clinical probability, PTE can be excluded solely with negative D-dimer testing (5). However, patients with high clinical probability or those with high D-dimer levels should be further investigated by CTPA (6).
The emergence of CTPA in the late 1990s has significantly enhanced the evaluation of patients with suspected PTE. This technique is known as the choice of imaging modality with a sensitivity of 83% and a specificity of 96% for PTE detection (7, 8). However, earlier cohort studies estimated that approximately one-third of computed tomography scans are avoidable, and excessive use of CTPA over the past two decades has led to the overdiagnosis of PTE. While CTPA has minimally contributed to the reduction of PTE mortality rates, it has exposed patients to contrast-induced nephrotoxicity and carcinogenic exposure (9, 10).
2. Objectives
The current study aims to assess the rate of inappropriate CTPA use and physicians’ adherence to clinical prediction rules in the evaluation of suspected PTE at an academic tertiary center. The study aims to identify the extent of overuse of CTPA requests in this setting and explore potential factors contributing to this overuse.
3. Methods
3.1. Study Setting, Patients and Data Collection
We conducted a cross-sectional study in the Department of Pulmonary and Critical Care at the Shariati Hospital at Tehran University of Medical Sciences (TUMS) between April 2016 and March 2019. Our study was approved by the Institutional Review Board of TUMS. To ensure ethical research practices, we obtained written informed consent from all participants in our study. We collected medical records of 1058 patients aged 15 years and above who underwent CTPA for suspected acute PTE. Wells criteria were calculated retrospectively based on documented notes (Table 1). Then, the patients were categorized into those with high clinical probability (i.e., scores > 4) and low clinical probability (i.e., scores ≤ 4) of PTE. We examined age-adjusted D-dimer values to improve the accuracy of D-dimer testing in different age groups. The quantitative D-dimer testing was measured in nanograms per milliliter (ng/mL) using enzyme-linked immunoassay. In our study, we used a D-dimer cut-off value of greater than 255 ng/mL to determine a positive result. Additionally, CTPA results were classified as positive (definite diagnosis of acute PTE) and negative (absence of acute PTE) based on the consensus of two expert radiologists.
Wells Criteria for Pulmonary Thromboembolism (PTE) Pretest Probability
Parameter | Point |
---|---|
Signs and symptoms of DVT | 3 |
No alternative diagnosis better than PTE | 3 |
Heart rate greater than 100 beats per minute | 1.5 |
Immobilization for at least 3 days, or recent surgery in the previous 4 weeks | 1.5 |
Prior history of DVT or PTE | 1.5 |
Hemoptysis | 1 |
Malignancy (on treatment within 6 months or palliative therapy) | 1 |
Clinical probability of PTE | Score |
Unlikely | ≤ 4 |
Likely | > 4 |
3.2. Statistical Analysis
Table 2 presents descriptive statistics (mean ± (SD) of clinical and demographic data obtained from the participants of the study. The chi-square test was applied to compare the categorical variables (i.e., all variables in Table 2 except age) between the PTE-positive and PTE-negative groups, whereas an independent T-test was used to determine if the two groups were statistically different in age. Additionally, the odds ratio (OR) for clinical suspicion (based on Wells criteria) and PTE diagnosis with CTPA was reported. All statistical analyses were performed using SPSS version 26, and results were interpreted based on the alpha level of 0.05 as the statistical level of significance.
4. Results
A total of 1058 patients suspected of acute PTE who underwent CTPA were initially selected for this study. Of these, 273 patients were excluded due to missing documentation and/or pregnancy (Figure 1). A total of 785 cases were retrospectively analyzed in this study. The average (SD) age of the participants was 53.9 ± (18.3) years with 54.3% being female. Patients’ characteristics, including demographics, symptoms, signs, and Wells criteria, are presented in Table 2.
Classification of the study population to "PTE likely” and “PTE unlikely” groups based on Wells criteria. Note that CTPA and PTE indicate the computed tomography pulmonary angiography and pulmonary thromboembolism, respectively.
Demographics, Clinical Manifestations, and Wells Criteria Comparison Between PTE-Positive and PTE-Negative Patients a
Variables | PTE-Positive (n = 139) | PTE-Negative (n = 646) | P-Value |
Demographics | |||
Age | 54.5 ± 18.5 | 53.7 ± 18.2 | 0.654 |
Female | 67 (48.2) | 359 (55.6) | 0.133 |
Symptoms, signs, wells criteria | |||
Dyspnea | 121 (87.1) | 569 (88.1) | 0.774 |
Tachycardia | 88 (63.3) | 325 (50.3) | 0.006 |
Cough | 61 (43.9) | 281 (43.5) | > 0.99 |
Chest pain | 70 (50.4) | 254 (39.3) | 0.018 |
Fever | 22 (15.8) | 130 (20.1) | 0.287 |
DVT signs & symptoms | 51 (36.7) | 51 (7.9) | < 0.001 |
Hemoptysis | 23 (16.5) | 61 (9.4) | 0.022 |
Syncope | 13 (9.4) | 32 (5) | 0.067 |
Immobility for > 3 days or previous surgery within 4 weeks | 66 (47.5) | 247 (38.2) | 0.045 |
Malignancy | 30 (21.6) | 164 (25.4) | 0.387 |
Previous VTE | 33 (23.7) | 48 (7.4) | < 0.001 |
Others | |||
Positive D-dimer b result | 62 of 71 (87.3) | 190 of 262 (72.5) | 0.012 |
Likely wells score | 107 (77.0) | 198 (30.7) | < 0.001 |
Wells scores were calculated for all patients. Individuals with PTE-positive results had significantly higher Wells scores compared to those with PTE-negative results (P < 0.001). Patients were categorized into the “PTE-unlikely” (n = 480) and the “PTE-likely” (n = 305) groups based on the Wells scores (Figure 2). Out of the total 785 patients, 139 (17.7 %) were diagnosed with acute PTE on CTPA. The prevalence of PTE was significantly higher in the “PTE-likely” group compared to the “PTE-unlikely” group, with an odds ratio of 7.6 (95% CI = [4.92 - 11.61], P < 0.001).
In the "PTE-unlikely" group, 299 (62.3 %) patients underwent CTPA directly despite recommendations to order a D-dimer test first, of whom 281 (94 %) cases had negative results for acute PTE (Figure 2). On the other hand, in the same group, 181 (37.7 %) cases underwent a D-dimer assay appropriately as the first step of diagnosis. Among these cases, 52 (28.7 %) had negative D-dimer values, and only one patient was followed by a positive CTPA report (Figure 2). In the "PTE-likely" group, 107 (35.1 %) patients showed positive results for acute PTE on CTPA (Figure 1). However, 120 (39.3 %) cases underwent D-dimer assays as the first step of diagnosis, which is not recommended for patients with a high clinical pretest probability (Figure 2).
First ordered diagnostic test in “PTE unlikely” and “PTE likely” groups. Note that CTPA and PTE indicate the computed tomography pulmonary angiography and pulmonary thromboembolism, respectively.
Overall, the study found that out of a total of 785 CTPA requests, 351 (44.7 %) were found to be avoidable. Specifically, 299 of the CTPA requests were made for "PTE-unlikely" patients as the first step of diagnosis, while 52 of the CTPA requests were made for "PTE-unlikely" patients with negative D-dimer results.
5. Discussion
The present study highlights the high rate of avoidable overuse of CTPA in patients with suspected acute PTE, with 44.7% of patients undergoing CTPA unnecessarily. This overutilization in our medical center may be attributed to several factors, including a lack of physicians’ knowledge, fear of misdiagnosis, and ease of access to CTPA procedures. In the current study, out of 785 patients, 139 (17.7 %) were diagnosed with acute PTE. The diagnostic yield of CTPA has been reported to vary worldwide, with investigations conducted in the United States showing yields in the range of 6 to 10 % (11-16). Our study reported a higher positivity rate compared to findings in prior literature in the United States and other published reports on Asian populations (17-19).
The study also found a substantial rate of non-adherence in the current diagnostic algorithms, particularly regarding the utilization of D-dimer assay before proceeding to CTPA in approaching patients with low clinical pre-test probability. In our study, D-dimer was not ordered before CTPA request in the majority of “PTE-unlikely” patients (62.3 %). This finding is consistent with earlier literature, which has also reported similar patterns of non-adherence to diagnostic algorithms (14, 20, 21). As validated in earlier research, D-dimer has a negative predictive value of up to 100% for the “PTE-unlikely” patients; thereby, PTE can be safely excluded without resorting to further imaging studies (22-25). Our findings are consistent with these literatures as we observed a low rate of positive CTPA results (1.9 %) in “PTE-unlikely” individuals despite the negative D-dimer. The rates of CTPA requests in “PTE-unlikely" patients with negative D-dimer results in our study are also comparable to the outcomes of prior research, which ranged between 3 and 13.2 % (14, 16, 20, 26).
The potential disadvantages of CTPA, including radiation exposure and contrast-induced nephrotoxicity, emphasize the importance of appropriate utilization of this imaging modality. A prospective cohort study found that a significant proportion of patients who underwent CTPA for PTE assessment developed contrast-induced nephropathy. Additionally, the overuse of CTPA burdens the healthcare system (27-29). Therefore, although prompt PTE diagnosis is required, unnecessary CTPA requests should be prevented.
Our findings emphasize the need for further education and training of physicians to improve adherence to evidence-based guidelines and protocols. Supporting evidence for this could be found in a previous retrospective study on PTE-suspected Turkish patients, which demonstrated that the use of CTPA declined by up to 26.6 % through the proper use of diagnostic protocols (30).
5.1. Study Limitations
Several limitations need to be addressed in this study. Firstly, despite implementing a large sample size, the exclusion of 183 patients (17.2 %) due to incomplete data was suboptimal. Secondly, the assessment of PTE probability was conducted retrospectively by researchers rather than concurrently during the patient’s screening. This may have introduced bias into the study and affected the accuracy of the results. Future studies should aim to address this limitation by conducting prospective studies that assess PTE probability concurrently with the patient's screening. Lastly, patients with negative CTPA reports were not followed up to determine whether factors other than PTE may have caused negative CTPA results. Future studies should aim to address these limitations by conducting follow-up studies to provide more robust evidence on the appropriate use of CTPA for PTE diagnosis.
5.2. Conclusions
In conclusion, our study highlights the need for improved adherence to evidence-based guidelines in the evaluation of patients with suspected acute PTE. By promoting the appropriate use of validated diagnostic algorithms and enhancing clinical decision-making, we can prevent unnecessary CTPA requests and minimize avoidable overuse of imaging.
References
-
1.
Goldhaber SZ, Bounameaux H. Pulmonary embolism and deep vein thrombosis. Lancet. 2012;379(9828):1835-46. [PubMed ID: 22494827]. https://doi.org/10.1016/S0140-6736(11)61904-1.
-
2.
Wittram C, Maher MM, Yoo AJ, Kalra MK, Shepard JA, McLoud TC. CT angiography of pulmonary embolism: diagnostic criteria and causes of misdiagnosis. Radiographics. 2004;24(5):1219-38. [PubMed ID: 15371604]. https://doi.org/10.1148/rg.245045008.
-
3.
Reis SP, Zhao K, Ahmad N, Widemon RS, Root CW, Toomay SM, et al. Acute pulmonary embolism: endovascular therapy. Cardiovasc Diagn Ther. 2018;8(3):244-52. [PubMed ID: 30057873]. [PubMed Central ID: PMC6039803]. https://doi.org/10.21037/cdt.2017.12.05.
-
4.
Simon MA, Tan C, Hilden P, Gesner L, Julius B. Effectiveness of Clinical Decision Tools in Predicting Pulmonary Embolism. Pulm Med. 2021;2021:8880893. [PubMed ID: 33688434]. [PubMed Central ID: PMC7920730]. https://doi.org/10.1155/2021/8880893.
-
5.
Di Nisio M, Squizzato A, Rutjes AW, Buller HR, Zwinderman AH, Bossuyt PM. Diagnostic accuracy of D-dimer test for exclusion of venous thromboembolism: a systematic review. J Thromb Haemost. 2007;5(2):296-304. [PubMed ID: 17155963]. https://doi.org/10.1111/j.1538-7836.2007.02328.x.
-
6.
Agnelli G, Becattini C. Acute pulmonary embolism. N Engl J Med. 2010;363(3):266-74. [PubMed ID: 20592294]. https://doi.org/10.1056/NEJMra0907731.
-
7.
Righini M, Robert-Ebadi H, Le Gal G. Diagnosis of acute pulmonary embolism. J Thromb Haemost. 2017;15(7):1251-61. [PubMed ID: 28671347]. https://doi.org/10.1111/jth.13694.
-
8.
Hepburn-Brown M, Darvall J, Hammerschlag G. Acute pulmonary embolism: a concise review of diagnosis and management. Intern Med J. 2019;49(1):15-27. [PubMed ID: 30324770]. https://doi.org/10.1111/imj.14145.
-
9.
Dentali F, Ageno W, Pomero F, Fenoglio L, Squizzato A, Bonzini M. Time trends and case fatality rate of in-hospital treated pulmonary embolism during 11 years of observation in Northwestern Italy. Thromb Haemost. 2016;115(2):399-405. [PubMed ID: 26422774]. https://doi.org/10.1160/TH15-02-0172.
-
10.
Haap MM, Gatidis S, Horger M, Riessen R, Lehnert H, Haas CS. Computed tomography angiography in patients with suspected pulmonary embolism-too often considered? Am J Emerg Med. 2012;30(2):325-30. [PubMed ID: 21277141]. https://doi.org/10.1016/j.ajem.2010.12.013.
-
11.
Alshumrani G, Al Bshabshe A, Mousa WF. Diagnostic yield of CT pulmonary angiography for pulmonary embolism in clinically suspected patients. Medicine (Baltimore). 2021;100(22). e26213. [PubMed ID: 34087898]. [PubMed Central ID: PMC8183708]. https://doi.org/10.1097/MD.0000000000026213.
-
12.
Jimenez D, Resano S, Otero R, Jurkojc C, Portillo AK, Ruiz-Artacho P, et al. Computerised clinical decision support for suspected PE. Thorax. 2015;70(9):909-11. [PubMed ID: 25666436]. https://doi.org/10.1136/thoraxjnl-2014-206689.
-
13.
Deblois S, Chartrand-Lefebvre C, Toporowicz K, Chen Z, Lepanto L. Interventions to Reduce the Overuse of Imaging for Pulmonary Embolism: A Systematic Review. J Hosp Med. 2018;13(1):52-61. [PubMed ID: 29309438]. https://doi.org/10.12788/jhm.2902.
-
14.
Alhassan S, Sayf AA, Arsene C, Krayem H. Suboptimal implementation of diagnostic algorithms and overuse of computed tomography-pulmonary angiography in patients with suspected pulmonary embolism. Ann Thorac Med. 2016;11(4):254-60. [PubMed ID: 27803751]. [PubMed Central ID: PMC5070434]. https://doi.org/10.4103/1817-1737.191875.
-
15.
Stojanovska J, Carlos RC, Kocher KE, Nagaraju A, Guy K, Kelly AM, et al. CT Pulmonary Angiography: Using Decision Rules in the Emergency Department. J Am Coll Radiol. 2015;12(10):1023-9. [PubMed ID: 26435116]. https://doi.org/10.1016/j.jacr.2015.06.002.
-
16.
Perelas A, Dimou A, Saenz A, Rhee JH, Teerapuncharoen K, Rowden A, et al. CT pulmonary angiography utilization in the emergency department: diagnostic yield and adherence to current guidelines. Am J Med Qual. 2015;30(6):571-7. [PubMed ID: 25037560]. https://doi.org/10.1177/1062860614543302.
-
17.
Nicole Tran H, Klatsky AL. Lower risk of venous thromboembolism in multiple Asian ethnic groups. Prev Med Rep. 2019;13:268-9. [PubMed ID: 30723661]. [PubMed Central ID: PMC6351426]. https://doi.org/10.1016/j.pmedr.2019.01.006.
-
18.
Lee WS, Kim KI, Lee HJ, Kyung HS, Seo SS. The incidence of pulmonary embolism and deep vein thrombosis after knee arthroplasty in Asians remains low: a meta-analysis. Clin Orthop Relat Res. 2013;471(5):1523-32. [PubMed ID: 23264001]. [PubMed Central ID: PMC3613515]. https://doi.org/10.1007/s11999-012-2758-9.
-
19.
Klatsky AL, Baer D. What protects Asians from venous thromboembolism? Am J Med. 2004;116(7):493-5. [PubMed ID: 15047041]. https://doi.org/10.1016/j.amjmed.2004.01.005.
-
20.
Dhakal P, Iftikhar MH, Wang L, Atti V, Panthi S, Ling X, et al. Overutilisation of imaging studies for diagnosis of pulmonary embolism: are we following the guidelines? Postgrad Med J. 2019;95(1126):420-4. [PubMed ID: 30665902]. https://doi.org/10.1136/postgradmedj-2018-135995.
-
21.
Kamrani R, Fallahi MJ, Masoompour SM, Ghayumi SMA, Jalli R, Khederzadeh S, et al. Evaluation of the appropriate use of chest CT-Scans in the diagnosis of hospitalized patients in shiraz teaching hospitals, Southern Iran. Cost Eff Resour Alloc. 2022;20(1):44. [PubMed ID: 35999543]. [PubMed Central ID: PMC9395783]. https://doi.org/10.1186/s12962-022-00381-0.
-
22.
van Belle A, Buller HR, Huisman MV, Huisman PM, Kaasjager K, Kamphuisen PW, et al. Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. JAMA. 2006;295(2):172-9. [PubMed ID: 16403929]. https://doi.org/10.1001/jama.295.2.172.
-
23.
Harringa JB, Bracken RL, Nagle SK, Schiebler ML, Pulia MS, Svenson JE, et al. Negative D-dimer testing excludes pulmonary embolism in non-high risk patients in the emergency department. Emerg Radiol. 2017;24(3):273-80. [PubMed ID: 28116533]. [PubMed Central ID: PMC5438894]. https://doi.org/10.1007/s10140-017-1478-6.
-
24.
Righini M, Van Es J, Den Exter PL, Roy PM, Verschuren F, Ghuysen A, et al. Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study. JAMA. 2014;311(11):1117-24. [PubMed ID: 24643601]. https://doi.org/10.1001/jama.2014.2135.
-
25.
Revel MP, Beeker N, Porcher R, Jilet L, Fournier L, Rance B, et al. What level of D-dimers can safely exclude pulmonary embolism in COVID-19 patients presenting to the emergency department? Eur Radiol. 2022;32(4):2704-12. [PubMed ID: 34994845]. [PubMed Central ID: PMC8739682]. https://doi.org/10.1007/s00330-021-08377-9.
-
26.
Perera M, Aggarwal L, Scott IA, Cocks N. Underuse of risk assessment and overuse of computed tomography pulmonary angiography in patients with suspected pulmonary thromboembolism. Intern Med J. 2017;47(10):1154-60. [PubMed ID: 28635149]. https://doi.org/10.1111/imj.13524.
-
27.
Davies HE, Wathen CG, Gleeson FV. The risks of radiation exposure related to diagnostic imaging and how to minimise them. BMJ. 2011;342:d947. [PubMed ID: 21355025]. https://doi.org/10.1136/bmj.d947.
-
28.
Mitchell AM, Jones AE, Tumlin JA, Kline JA. Prospective study of the incidence of contrast-induced nephropathy among patients evaluated for pulmonary embolism by contrast-enhanced computed tomography. Acad Emerg Med. 2012;19(6):618-25. [PubMed ID: 22687176]. [PubMed Central ID: PMC5366244]. https://doi.org/10.1111/j.1553-2712.2012.01374.x.
-
29.
Smith SB, Geske JB, Kathuria P, Cuttica M, Schimmel DR, Courtney DM, et al. Analysis of National Trends in Admissions for Pulmonary Embolism. Chest. 2016;150(1):35-45. [PubMed ID: 26905364]. [PubMed Central ID: PMC6026254]. https://doi.org/10.1016/j.chest.2016.02.638.
-
30.
Ong CW, Malipatil V, Lavercombe M, Teo KG, Coughlin PB, Leach D, et al. Implementation of a clinical prediction tool for pulmonary embolism diagnosis in a tertiary teaching hospital reduces the number of computed tomography pulmonary angiograms performed. Intern Med J. 2013;43(2):169-74. [PubMed ID: 22909177]. https://doi.org/10.1111/j.1445-5994.2012.02926.x.