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Erschienen in: Internal and Emergency Medicine 8/2022

Open Access 17.08.2022 | IM - ORIGINAL

PrEdictive value of coMbined pre-test proBability and blOod gas anaLysis In pulmonary emboliSM—the EMBOLISM study

verfasst von: Moritz Meusel, Toni Pätz, Kim Gruber, Sebastian Kupp, Philipp-Johannes Jensch, Roza Saraei, Alexander Fürschke, Friedhelm Sayk, Ingo Eitel, Sebastian Wolfrum

Erschienen in: Internal and Emergency Medicine | Ausgabe 8/2022

Abstract

In patients with suspected pulmonary embolism (PE), the number of unnecessary computed tomography pulmonary angiography (CTPA) scans remains high, especially in patients with low pre-test probability (PTP). So far, no study showed any additional benefit of capillary blood gas analysis (BGA) in diagnostic algorithms for PE. In this retrospective analysis of patients with suspected PE and subsequent CTPA, clinical data, D-dimer levels and BGA parameters (including standardized PaO2) were analyzed. Logistic regression analyses were performed to identify independent predictors for PE and reduce unnecessary CTPA examinations in patients with low PTP according to Wells score. Of 1538 patients, PE was diagnosed in 433 patients (28.2%). The original Wells score (odds ratio: 1.381 [95% CI 1.300–1.467], p < 0.001) and standardized PaO2 (odds ratio: 0.987 [95% CI 0.978–0.996], p = 0.005) were independent predictors for PE. After cohort adjustment for low PTP a D-dimer cut-off < 1.5 mg/L (278 patients (18.1%) with 18 PE (6.5%)) was identified in which a standardized PaO2 > 65 mmHg reduced the number of unnecessary CTPA by 31.9% with a 100% sensitivity. This approach was further validated in additional 53 patients with low PTP. In this validation group CTPA examinations were reduced by 32.7%. No patient with PE was missed. With our novel algorithm combining BGA testing with low PTP according to Wells score, we were able to increase the D-Dimer threshold to 1.5 mg/L and reduce CTPA examinations by approximately 32%.
Hinweise
Moritz Meusel and Toni Pätz have contributed equally to the manuscript.

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Abkürzungen
BGA
Blood gas analysis
CI
95% Confidence interval
CTPA
Computed tomography pulmonary angiography
DVT
Deep vein thrombosis
ECG
Electrocardiogram
ED
Emergency department
EMR
Early mortality risk of in-hospital or 30-day death
ESC
European Society of Cardiology
IQR
Interquartile range
OR
Odds ratios
PaCO2
Arterial carbon dioxide tension
PaO2
Arterial oxygen tension
PaO2stand
Standardized arterial oxygen tension
PTP
Pre-test probability
RBBB
Right bundle branch block
sPESI
Simplified PESI (Pulmonary Embolism Severity Index)

Introduction

The clinical diagnosis of pulmonary embolism (PE) remains challenging. Current guidelines of the European Society of Cardiology (ESC) recommend the assessment of clinical pre-test probability (PTP) in hemodynamic stable patients with suspected PE [1]. The most frequently applied prediction rules are the Wells score for PE and the revised Geneva score. Accordingly, PE can be expected in approximately 12% in the “PE unlikely” category and 30% in the “PE likely” category, when the two-level classification is used [2]. In the “PE unlikely” category the subsequent laboratory testing for D-dimer is recommended and of major clinical importance. Normal D-dimer (< 0.5 mg/L) and/or negative age-adjusted D-dimer (age × 0.01 mg/L for patients older than 50 years) in the “PE unlikely” group safely rule out PE and effectively reduce unnecessary chest imaging [35].
Due to the low specificity of D-dimer, a positive D-dimer test in patients with a low PTP for PE is the major trigger for over testing with computed tomography pulmonary angiography (CTPA) [6]. Hence, even when adhering to the recommended algorithm, a low PTP and positive D-Dimer testing results in negative CTPA in up to 95% [710]. A viable approach to reduce the overuse of chest imaging via CTPA is the correction of the D-dimer cut-off. As investigated in the recent YEARS and PEGeD study, a D-dimer cut-off of less than 1.0 mg/L is safely applicable in the low-risk category [11, 12] and the usage of both scores resulted in a significant reduction of chest imaging by CTPA.
Next to assessment of PTP and, if necessary, D-dimer testing, capillary blood gas analysis (BGA) is regularly performed in patients with suspected PE. Commonly, hypoxemia and hypocapnia can be found in patients with PE [1]. Despite the pathophysiological plausibility of these findings, so far, no study was able to demonstrate an additional benefit of BGA testing to rule out PE [13, 14].
The aim of the present study was to reevaluate the role of BGA testing and its diagnostic benefits in patients with suspected PE, especially in patients with a low PTP. Using the standardized arterial oxygen tension (PaO2stand), we accounted for hyperventilation and hypocapnia, since both conditions affect the arterial oxygen tension (PaO2) [15] and are frequently seen in patients with PE [1]. In a novel approach, we combined the PTP and D-dimer with BGA results to reduce the need for unnecessary chest imaging in patients with suspected PE. We therefore analyzed the data of patients with suspected PE who were admitted at the emergency department (ED) of a large tertiary care university hospital and received chest imaging by CTPA.

Materials and methods

Study design and patients

The study was designed as a retrospective single center study and approved by the local ethics committee at the university of Lübeck (file number: 19-318A). The study cohort was derived from the ED of the university hospital of Schleswig–Holstein in Lübeck, a tertiary hospital with over 40.000 patient contacts per year. Data archive of electronic patient records were searched for CTPA to verify the suspected diagnosis of PE from 07/2015 to 06/2020. The hospital´s standard operating procedure for patients with suspected PE includes the assessment of PTP using Wells score and, if necessary, D-dimer testing (D-dimer Hemosil HS 500 with the ACL Analyzer Top 750, Werfen, Germany). Age-adjusted cut-off values in patients were used in patients over 50 years of age, otherwise a cut-off of 0.5 mg/L was applied. Therefore, the present study cohort represents a preselected patient cohort in which a CTPA has been considered necessary to verify or safely rule out PE according to the current ESC guideline recommendations [1]. In addition, data of the original and revised Geneva score were collected retrospectively.
Patient records of each patient were searched for relevant parameters. Using common BGA parameters, we standardized the arterial oxygen tension (PaO2) to arterial carbon dioxide tension (PaCO2) to account for hyperventilation and hypocapnia, since both conditions affect the PaO2 [15]. This correction resulted in a standardized PaO2 (PaO2stand = PaO2 – 1.66 × (40-PaCO2)). This standardized PaO2 was retrospectively calculated. All patients were classified into the “PE unlikely” (≤ 4 points) and the “PE likely” group (> 4 points) according to Wells criteria [12, 16, 17]. To compare the results of our novel BGA-based algorithm with the PEGeD algorithm [12], a direct comparison was carried out within the group of patients with low PTP.

Statistical analysis

The statistical analysis was performed with IBM SPSS Statistics 26.0 with a two-sided p value of < 0.05 considered statistically significant. Categorical variables were analyzed using Chi2 test or Fisher's exact test and are expressed as numbers and percentages. Continuous variables were investigated using Mann–Whitney-U test and are expressed as median and interquartile range (IQR). Baseline characteristics and BGA parameters were compared between patients with confirmed PE and patients without PE. Independent predictors of PE were analyzed using logistic regression analysis and presented as odds ratios (OR) within 95% confidence intervals (CI). Moreover, to analyze the predictive value of the significant parameters in the first step, we used a stepwise forward regression to evaluate the independent impact of these parameters on the presence of PE. For missing data no imputation was performed.

CT pulmonary angiography

The CTPA was performed by a 128 detector Siemens Somatom Definition AS + and AS scanner (Siemens Medical System). According to hospital standard operating procedures the CTPA was performed in a lying supine position. During the procedure, patients were asked to hold their breath; if this was not possible, the patients were allowed to continue breathing shallowly. Scan volume included in its cranio-caudal direction the clavicle and the diaphragm. Detector scan area was up to 800 mm. The slice thickness was 1 mm and the tube current and voltage was 100mAs as quality reference using CARE dose and 120 kV. Low osmolar nonionic contrast medium (100 ml) was administered through a permanent venous catheter at a flow rate of 5 ml/s.

Results

Baseline characteristics

A total of 1538 patients with suspected PE and subsequent CTPA were included in this study. Table 1 shows the detailed baseline characteristics and risk stratification of patients with and without PE. Overall, PE was ruled out in 71.8% (n = 1105) of all patients. Patients with confirmed PE (n = 433) had more frequently chest pain (p = 0.003), dyspnea (p < 0.001) and clinical signs of deep vein thrombosis (p < 0.001) but a lower rate of syncope (p = 0.039). In addition, typical ECG presentations like S1Q3 pattern (p = 0.002) and T wave inversion in V1–V4 (p < 0.001) were more frequently observed in patients with PE. Furthermore, patients with PE had a higher rate of a positive history of previous PE or deep vein thrombosis (p < 0.001) as well as oxygen administration at hospital admission (p < 0.001). Regarding blood tests, patients with PE had an elevated rate of positive Troponin test (p = 0.001) and a higher D-dimer serum concentration (p < 0.001). An increased frequency of right heart dysfunction in CTPA and/or echocardiography was also detected in patients with confirmed PE (p < 0.001).
Table 1
Baseline characteristics and risk stratification
 
PE negative (n = 1105)
PE positive (n = 433)
p value
Male
558 (50.5)
204 (47.1)
p = 0.232
Age
69 (57, 78)
71 (57, 79)
p = 0.216
Central PE
 
204 (47.1)
 
Segmental PE
 
183 (42.3)
 
Subsegmental PE
 
46 (10.6)
 
Chest pain
396 (35.8)
190 (43.9)
p = 0.003
Dyspnea
664 (60.1)
320 (73.9)
p < 0.001
Hemoptysis
47 (4.3)
16 (3.7)
p = 0.619
Syncope
179 (16.2)
52 (12.0)
p = 0.039
Clinical signs of deep vein thrombosis
124 (11.2)
117 (27.0)
p < 0.001
Tachycardia (> 100 bpm)
315 (28.5)
144 (33.3)
p = 0.067
S1Q3 pattern
86 (7.8)
56 (12.9)
p = 0.002
T wave inversion in V1-V4
62 (5.6)
63 (14.5)
p < 0.001
Complete/incomplete RBBB
121 (11.0)
62 (14.3)
p = 0.067
History of cardiovascular disease
263 (23.8)
90 (20.8)
p = 0.206
History of pulmonary disease
267 (24.2)
88 (20.3)
p = 0.108
History of renal disease
106 (9.6)
32 (7.4)
p = 0.174
Active cancer
193 (17.5)
78 (18.0)
p = 0.800
Previous PE or DVT
100 (9.0)
114 (26.3)
p < 0.001
D-dimera, mg/L
1.67 (1.13, 3.66)
4.67 (2.13, 10.22)
p < 0.001
Administration of oxygenc
  
p < 0.001
 Unknown
112 (10.1)
25 (5.8)
 
 Yes
170 (15.4)
108 (25)
 
 No
822 (74.5)
299 (69.2)
 
Oxygen flow rate in liters per minuted
3 (2, 5.75)
4 (2, 6)
p = 0.227
Right heart dysfunction in CTPA or echocardiographye
89 (10.7)
182 (42.3)
p < 0.001
Elevated Troponin serum concentrationf
337 (53.0)
250 (63.1)
p = 0.001
Elevated NTpro-BNP serum concentrationg
185 (53.0)
119 (46.5)
p = 0.113
sPESI
 
1 (0, 1)
 
EMR: low riskh
 
98 (22.7)
 
EMR: intermediate low riskh
 
187 (43.3)
 
EMR: intermediate high riskh
 
128 (29.6)
 
EMR: high riskh
 
18 (4.2)
 
Confirmed DVTi
18 (18.0)
226 (55.8)
p < 0.001
Data presented as n/N (%) or median (IQR). Numbers in bold type indicate a significant difference
PE pulmonary embolism, DVT deep vein thrombosis, RBBB right bundle branch block, BGA blood gas analysis, CTPA computed tomography pulmonary angiography, sPESI simplified PESI (Pulmonary Embolism Severity Index), EMR early mortality risk of in-hospital or 30-day death
an = 1419, bn = 1105, cn = 1536, dn = 265, en = 1265, fn = 1032, gn = 605, hn = 431, in = 505, jn = 437

Blood gas analysis and pre-test probability

To investigate the diagnostic value of BGA measurements in suspected PE, all patients without BGA documentation were excluded (n = 7, 0.5%). BGA results were not available in 2 patients (0.5%) with confirmed PE and 5 patients (0.5%) without PE. Most of the BGA results were generated by capillary BGA (91.8% in PE-negative patients, 95.6% in PE-positive patients). Only a minority of all BGA results based on venous BGA (3.0% with PE, 1.8% without PE) or had an unknown extraction point of the BGA (4.7% with PE, 2.3% without PE). For further analysis we only considered patients with capillary BGA, since these have the highest validity for the oxygen tension. To eliminate the influence of oxygen administration, all patients with administered oxygen at hospital admission were excluded. Consequently, a total of 1073 patients were included in this analysis, the characteristics are presented in Table 2. All PTP scores were significantly higher in patients with confirmed PE (p < 0.001 for all scores) and although both patient groups showed a slightly alkaline pH, a statistically significant higher pH was observed in patients with PE (p = 0.007). Furthermore, a lower level PaO2 (p = 0.006) and PaO2stand (p < 0.001) could be detected in patients with confirmed PE.
Table 2
Blood gas analysis and pretest probability scores of patients with capillary BGA
 
PE negative (n = 748)
PE positive (n = 291)
p value
Wells score
1.5 (0, 4)
4.5 (2.5, 6)
p < 0.001
Simplified Wells score
1 (0, 2)
2 (1, 3)
p < 0.001
Original revised Geneva score
5 (3, 6)
6 (4, 9)
p < 0.001
Simplified revised Geneva score
2 (1, 3)
3 (2, 4)
p < 0.001
BGA pHa
7.46 (7.43, 7.49)
7.47 (7.45, 7.50)
p = 0.007
BGA PaCO2
33 (29, 37)
32 (29, 36)
p = 0.103
BGA PaO2
67 (58, 77.75)
65 (58, 73)
p = 0.006
BGA HCO3-b
23.7 (21.5, 25.7)
23.6 (21.7, 25.9)
p = 0.995
BGA BEc
0.6 (– 1.0, 2,4)
0.8 (– 1.15, 2.5)
p = 0.590
BGA lactated
1.1 (0.8, 1.6)
1.0 (0.8, 1.5)
p = 0.080
BGA saturatione
95.95 (93, 97.2)
95 (93, 97)
p = 0.082
PaO2stand
57.02 (47.06, 66.66)
53.36 (43.08, 61.54)
p < 0.001
Data presented as median (IQR). Numbers in bold type indicate a significant difference
PE pulmonary embolism, BGA blood gas analysis, PaCO2 arterial carbon dioxide tension, PaO2 arterial oxygen tension, HCO3- bicarbonate, BE base excess. PaO2stand standardized to a PaCO2 of 40 mm Hg [15]
an = 1072, bn = 1051, cn = 1056, dn = 1060, en = 984

Predictors of PE

Table 3 presents the results of the binary and multiple stepwise logistic regression analyses for the presence of PE. In binary logistic regression analysis of all BGA parameters and PTP scores, the original Wells score (p < 0.001), the simplified Wells score (p < 0.001), the original revised Geneva score, the simplified revised Geneva score (p < 0.001) as well as the PaO2 (p = 0.001) and the PaO2stand (p < 0.001) showed significant predictive associations with confirmed PE. In multiple logistic regression analysis including all significant parameters of simple binary regression only the original Wells score (odds ratio: 1.381 [95% CI 1.300–1.467], p < 0.001) and the PaO2stand (odds ratio: 0.987 [95% CI 0.978–0.996], p = 0.005) proved to be significant predictors for PE.
Table 3
Binary and multiple stepwise logistic regression analysis of baseline characteristics in patients with confirmed pulmonary embolism
 
Binary logistic regression PE
OR (95% CI)
Multiple logistic regression PE
OR (95% CI)
p value
Binary/multiple
Wells score
1.391 (1.310–1.477)
1.381 (1.300–1.467)
p < 0.001/p < 0.001
Simplified Wells score
1.954 (1.711–2.231)
 
p < 0.001
Original revised Geneva score
1.192 (1.142–1.244)
 
p < 0.001
Simplified revised Geneva score
1.518 (1.352–1.705)
 
p < 0.001
BGA pHa
8.238 (0.728–93.195)
 
p = 0.088
BGA PaCO2
0.984 (0.963–1.006)
 
p = 0.159
BGA PaO2
0.983 (0.974–0.993)
 
p = 0.001
BGA HCO3-b
0.989 (0.951–1.028)
 
p = 0.580
BGA BEc
0.985 (0.949–1.022)
 
p = 0.414
BGA lactated
0.877 (0.756–1.019)
 
p = 0.086
BGA saturatione
0.998 (0.967–1.031)
 
p = 0.916
PaO2stand
0.983 (0.974–0.983)
0.987 (0.978–0.996)
p < 0.001/p = 0.005
Data presented as odds ratio (OR) with 95% confidence interval (CI). Numbers in bold type indicate a significant difference
PE pulmonary embolism, BGA blood gas analysis, PaCO2 arterial carbon dioxide tension, PaO2 arterial oxygen tension, HCO3- bicarbonate, BE base excess, PaO2stand standardized to a PaCO2 of 40 mmHg [15]
an = 1072, bn = 1051, cn = 1056, dn = 1060, en = 984

BGA-optimized pre-test probability

In a next step we tried to reduce the number of unnecessary CTPA examinations. Therefore, we used all significant parameters shown in Table 3. We focused on the group of patients with a low PTP, since the number of unnecessary CTPA tests is usually high in this cohort. For this approach, the cohort with a low PTP (defined with a Wells score ≤ 4), available BGA and age-adjusted increased D-dimers was identified. A total of 688 patients met these criteria and PE was detected in a total of 18.3% (n = 126) in this population. Although there was a significant difference between the standardized PaO2 values comparing patients with or without PE (without PE: median = 57.58 mmHg [95% CI 47.76–67.03]; with PE: median = 52.39 mmHg [95%CI 43.06–62.70]; p = 0.002), no cut-off value could be identified for which at least one patient with PE was not detected. Therefore D-dimer concentration were included into an exploratory analysis. The sensitivity of the standardized PaO2 could be increased significantly if the D-dimers within this cohort were < 1.5 mg/L. A total of 278 of 688 patients met these criteria and PE was detected in a total of 6.5% (n = 18) of these patients. Within this sub cohort, a standardized PaO2 > 65 mmHg could be identified as the cut-off value with a sensitivity of 100% (patients without PE: median = 57.71 mmHg vs. patients with PE: median = 50.74 mmHg). Through application of this variable, we were able to reduce the number of unnecessary CTPA test by 31.9% (83 of 260 patients without PE) without missing one patient with confirmed PE. Based on these results, we created the workflow as shown in Fig. 1.

Validation group analysis and algorithm comparison

From 07/2020 to 03/2021, a total of 53 patients met the criteria of our algorithm (low PTP, D-dimer < 1.5 mg/L and capillary BGA, no oxygen administration). All these patients were included in our control group and PE was present in 7.6% (4 of 53 patients). With application of our algorithm, we again did not miss a single patient with PE and the number of unnecessary CTPA examinations could be reduced by 32.7% (16 of 49 patients without PE, Fig. 2).
Moreover, we extracted all patients of our primary cohort with a low PTP according to the original Wells Score and BGA (n = 688) and analyzed the subgroup of patients with a D-dimer above 1 mg/L (PEGeD cut-off, n = 590) to compare the effects of our novel algorithm to the PEGeD algorithm [12]. Within this subgroup, a total of 55 patients (9.3% of all 590 patients) had D-dimer values below 1.5 mg/L and a PaO2stand of > 65 mmHg. Thus, according to our algorithm, no CTPA would have been necessary, according to our algorithm. Within this group no patient with PE was missed.

Discussion

To the best of our knowledge, this is the first investigation to demonstrate an additive value of BGA to reduce the number of unnecessary CTPA examinations in patients with suspected PE. In this retrospective study with a well-defined cohort of patients with suspected PE and subsequent CTPA, standardized PaO2 represents a useful tool to reduce unnecessary chest imaging in patients with low PTP. In the subgroup with a low PTP (Wells score ≤ 4 points), a standardized PaO2 of > 65 mmHg enabled us to increase the D-dimer threshold to < 1.5 mg/L to safely exclude PE. By application of our novel algorithm, a reduction in CTPA rate by approximately 32% could be achieved, without missing a single patient with PE, when age-adjusted D-dimer is considered the gold standard. The particular strength of this novel algorithm is that it is based on two components that are well known and frequently used in clinical practice. Furthermore, even when compared to the recently published PEGeD algorithm [12], the application of our novel algorithm using BGA parameters and a higher D-dimer cut-off levels in patients with low PTP the number of unnecessary CTPA can be reduced by 9.3% without missing a patient with PE. Our novel diagnostic algorithm should be applied to patients in the emergency department when pulmonary embolism is clinically suspected.
Current guidelines recommend the assessment of PE probability in hemodynamic stable patients by the Wells or revised Geneva score with subsequent D-dimer testing and CTPA, if necessary [1]. Therefore, the indication whether to perform CTPA or not in the “PE unlikely” group depends on D-dimer testing. Testing for D-dimer has a poor specificity for venous thromboembolism and elevated D-dimer levels can be found in numerous conditions such as malignant diseases, pregnancy, and infections [18, 19]. Thus, elevated D-dimer levels above 0.5 mg/L are frequent and a leading cause for chest imaging in the “PE unlikely” group. In up to 95% CTPA is negative for PE in this cohort [710, 20]. In 2014, Righini et al. reported that an adjustment of D-dimer levels to the patients’ age (age × 0.01 mg/L for patients older than 50 years) can safely exclude PE. The age-adjusted D-dimer levels increased the exclusion rate of PE from 6.4 to 30% [3] and reduced the unnecessary CTPA, accordingly. To further decrease CTPA frequency in suspected PE, studies then attempted to increase the D-dimer threshold. According to the YEARS algorithm, a D-dimer cut-off of < 1.0 mg/L is appropriate in patients with a low clinical PTP. The application of the YEARS algorithm avoided a total of 14% of CTPA when compared to standard care (Wells score and a fixed D-dimer cut-off of < 0.5 mg/L) [11]. Recently the PEGeD study confirmed the safety of a D-dimer cut-off of < 1.0 mg/L in patients with a low PTP, as assessed by the Wells score (≤ 4 points) [12]. So far, no study successfully investigated higher D-dimer cut-off levels than 1.0 mg/L. Our analysis included patients with suspected PE, clinical PTP as assessed by Wells score, age-adjusted D-dimer levels and CTPA. By adding the standardized PaO2 to a low PTP by Wells score (≤ 4 points) we were able to increase the D-dimer cut-off to < 1.5 mg/L in the “PE unlikely” group.
The diagnostic significance of BGA in the assessment of suspected PE has been controversially discussed in the literature. On the one hand, the assessment of PE probability by the original Geneva score includes blood gas parameters such as the PaO2 and PaCO2 [21]. Furthermore, in patients with malignant disease a benefit of BGA in the diagnosis of PE was recently demonstrated. In this study, the PaO2 was significantly lower in cancer patients and an alveolar-arterial gradient > 20 had 100% sensitivity and negative predictive value [22]. On the other hand, several studies investigating the usage of BGA parameters demonstrated no additional diagnostic benefit. Neither the alveolar–arterial oxygen tension gradient alone, nor a combination with a PaCO2 > 35–36 mmHg and/or the absence of prior thromboembolic disease reached a sensitivity of 100% and were able to increase the PTP in PE [13, 14, 2325]. Since its widespread utilization and the common presence of hypoxemia and hypocapnia in patients with PE, BGA, especially the PaO2 and PaCO2, remains a simple bedside tool for clinical evaluation of suspected PE. The aim of the study was to use established standard diagnostics in combination with the BGA to optimize the indication for further chest imaging in the low PTP cohort without missing patients with PE. In our approach, we accounted for the pathophysiological changes commonly observed in PE, i.e., hyperventilation and hypocapnia, by application of the formula proposed by Mays et al. [15]. This correction of PaO2 resulted in a standardized PaO2. The standardized PaO2 is the first BGA parameter to show a sensitivity of 100% in excluding PE in our subgroup of low PTP and D-dimer cut-off < 1.5 mg/L.
The overall prevalence of PE in our registry was 28.2%, which is in accordance with the current literature [26, 27]. While this provides a certain comparability to other studies, it also shows the high proportion of patients with negative CTPA. In fact, there is evidence of an extensive overuse of CTPA in patients with suspected PE due to non-adherence to pre-test scoring algorithms [28, 29]. This aspect must be addressed by strict adherence to pre-test scores and other clinical tools such as D-dimer testing to reduce the number of unnecessary chest imaging and ionizing radiation exposure.

Limitations

Several aspects might impair the interpretation of our results. First, this is a retrospective single center study based on hospital records. We used age-adjusted D-Dimer testing for a preselection. Therefore, the benefit of other algorithms like YEARS cannot be easily verified with our study. In addition, it must be considered that particularly the variable "alternative diagnosis is less likely than PE" depends on the clinical assessment by the physician in the ED. However, since 3 points are related to this variable, some patients may be classified into a higher PTP group and this in turn may have influenced the results. Finally, despite presenting a large and well characterized patient cohort with suspected PE larger studies are needed to prospectively confirm the value of our proposed score in suspected PE patients with low PTP.

Conclusion

In this large cohort of patients with suspected PE and subsequent CTPA, we were able to show that BGA had an additional benefit to reduce unnecessary chest imaging in patients with low PTP.

Declarations

Conflict of interest

The authors have nothing to disclose.

Ethical approval

The local ethics committee at the university of Lübeck approved this retrospective study (file number: 19-318A) according to the 1964 Helsinki declaration and its later amendments.
For this retrospective study, formal consent was not required.
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Literatur
1.
Zurück zum Zitat Konstantinides SV, Meyer G (2019) The 2019 ESC guidelines on the diagnosis and management of acute pulmonary embolism. Eur Heart J 40(42):3453–3455CrossRefPubMed Konstantinides SV, Meyer G (2019) The 2019 ESC guidelines on the diagnosis and management of acute pulmonary embolism. Eur Heart J 40(42):3453–3455CrossRefPubMed
2.
Zurück zum Zitat Ceriani E et al (2010) Clinical prediction rules for pulmonary embolism: a systematic review and meta-analysis. J Thromb Haemost 8(5):957–970PubMed Ceriani E et al (2010) Clinical prediction rules for pulmonary embolism: a systematic review and meta-analysis. J Thromb Haemost 8(5):957–970PubMed
3.
Zurück zum Zitat Righini M et al (2014) Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study. JAMA 311(11):1117–1124CrossRefPubMed Righini M et al (2014) Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study. JAMA 311(11):1117–1124CrossRefPubMed
4.
Zurück zum Zitat van Belle A et al (2006) Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. JAMA 295(2):172–179CrossRefPubMed van Belle A et al (2006) Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. JAMA 295(2):172–179CrossRefPubMed
5.
Zurück zum Zitat van Es N et al (2016) Wells rule and D-dimer testing to rule out pulmonary embolism: a systematic review and individual-patient data meta-analysis. Ann Intern Med 165(4):253–261CrossRefPubMed van Es N et al (2016) Wells rule and D-dimer testing to rule out pulmonary embolism: a systematic review and individual-patient data meta-analysis. Ann Intern Med 165(4):253–261CrossRefPubMed
7.
Zurück zum Zitat Pernod G et al (2017) D-dimer use and pulmonary embolism diagnosis in emergency units: why is there such a difference in pulmonary embolism prevalence between the United States of America and countries outside USA? PLoS ONE 12(1):e0169268CrossRefPubMedPubMedCentral Pernod G et al (2017) D-dimer use and pulmonary embolism diagnosis in emergency units: why is there such a difference in pulmonary embolism prevalence between the United States of America and countries outside USA? PLoS ONE 12(1):e0169268CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Penaloza A et al (2012) Performance of the pulmonary embolism rule-out criteria (the PERC rule) combined with low clinical probability in high prevalence population. Thromb Res 129(5):e189–e193CrossRefPubMed Penaloza A et al (2012) Performance of the pulmonary embolism rule-out criteria (the PERC rule) combined with low clinical probability in high prevalence population. Thromb Res 129(5):e189–e193CrossRefPubMed
9.
Zurück zum Zitat Freund Y et al (2018) Effect of the pulmonary embolism rule-out criteria on subsequent thromboembolic events among low-risk emergency department patients: the PROPER randomized clinical trial. JAMA 319(6):559–566CrossRefPubMedPubMedCentral Freund Y et al (2018) Effect of the pulmonary embolism rule-out criteria on subsequent thromboembolic events among low-risk emergency department patients: the PROPER randomized clinical trial. JAMA 319(6):559–566CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Alhassan S et al (2016) Suboptimal implementation of diagnostic algorithms and overuse of computed tomography-pulmonary angiography in patients with suspected pulmonary embolism. Ann Thorac Med 11(4):254–260CrossRefPubMedPubMedCentral Alhassan S et al (2016) Suboptimal implementation of diagnostic algorithms and overuse of computed tomography-pulmonary angiography in patients with suspected pulmonary embolism. Ann Thorac Med 11(4):254–260CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat van der Hulle T et al (2017) Simplified diagnostic management of suspected pulmonary embolism (the YEARS study): a prospective, multicentre, cohort study. Lancet 390(10091):289–297CrossRefPubMed van der Hulle T et al (2017) Simplified diagnostic management of suspected pulmonary embolism (the YEARS study): a prospective, multicentre, cohort study. Lancet 390(10091):289–297CrossRefPubMed
12.
Zurück zum Zitat Kearon C et al (2019) Diagnosis of pulmonary embolism with d-dimer adjusted to clinical probability. N Engl J Med 381(22):2125–2134CrossRefPubMed Kearon C et al (2019) Diagnosis of pulmonary embolism with d-dimer adjusted to clinical probability. N Engl J Med 381(22):2125–2134CrossRefPubMed
13.
Zurück zum Zitat Stein PD et al (1996) Arterial blood gas analysis in the assessment of suspected acute pulmonary embolism. Chest 109(1):78–81CrossRefPubMed Stein PD et al (1996) Arterial blood gas analysis in the assessment of suspected acute pulmonary embolism. Chest 109(1):78–81CrossRefPubMed
14.
Zurück zum Zitat Rodger MA et al (2000) Diagnostic value of arterial blood gas measurement in suspected pulmonary embolism. Am J Respir Crit Care Med 162(6):2105–2108CrossRefPubMed Rodger MA et al (2000) Diagnostic value of arterial blood gas measurement in suspected pulmonary embolism. Am J Respir Crit Care Med 162(6):2105–2108CrossRefPubMed
15.
16.
Zurück zum Zitat Raja AS et al (2015) Evaluation of patients with suspected acute pulmonary embolism: best practice advice from the clinical guidelines committee of the American college of physicians. Ann Intern Med 163(9):701–711CrossRefPubMed Raja AS et al (2015) Evaluation of patients with suspected acute pulmonary embolism: best practice advice from the clinical guidelines committee of the American college of physicians. Ann Intern Med 163(9):701–711CrossRefPubMed
17.
Zurück zum Zitat Wells PS et al (2000) Derivation of a simple clinical model to categorize patients probability of pulmonary embolism: increasing the models utility with the SimpliRED D-dimer. Thromb Haemost 83(3):416–420CrossRefPubMed Wells PS et al (2000) Derivation of a simple clinical model to categorize patients probability of pulmonary embolism: increasing the models utility with the SimpliRED D-dimer. Thromb Haemost 83(3):416–420CrossRefPubMed
18.
Zurück zum Zitat Righini M et al (2006) Clinical usefulness of D-dimer testing in cancer patients with suspected pulmonary embolism. Thromb Haemost 95(4):715–719CrossRefPubMed Righini M et al (2006) Clinical usefulness of D-dimer testing in cancer patients with suspected pulmonary embolism. Thromb Haemost 95(4):715–719CrossRefPubMed
19.
Zurück zum Zitat Chabloz P et al (2001) TAFI antigen and D-dimer levels during normal pregnancy and at delivery. Br J Haematol 115(1):150–152CrossRefPubMed Chabloz P et al (2001) TAFI antigen and D-dimer levels during normal pregnancy and at delivery. Br J Haematol 115(1):150–152CrossRefPubMed
20.
Zurück zum Zitat McLenachan CJ et al (2019) Comparison of Wells and YEARS clinical decision rules with D-dimer for low-risk pulmonary embolus patients. Intern Med J 49(6):739–744CrossRefPubMed McLenachan CJ et al (2019) Comparison of Wells and YEARS clinical decision rules with D-dimer for low-risk pulmonary embolus patients. Intern Med J 49(6):739–744CrossRefPubMed
21.
Zurück zum Zitat Wicki J et al (2001) Assessing clinical probability of pulmonary embolism in the emergency ward: a simple score. Arch Intern Med 161(1):92–97CrossRefPubMed Wicki J et al (2001) Assessing clinical probability of pulmonary embolism in the emergency ward: a simple score. Arch Intern Med 161(1):92–97CrossRefPubMed
22.
Zurück zum Zitat Karamat A et al (2017) Usefulness of clinical prediction rules, D-dimer, and arterial blood gas analysis to predict pulmonary embolism in cancer patients. Oman Med J 32(2):148–153CrossRefPubMedPubMedCentral Karamat A et al (2017) Usefulness of clinical prediction rules, D-dimer, and arterial blood gas analysis to predict pulmonary embolism in cancer patients. Oman Med J 32(2):148–153CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Stein PD, Henry JW (1995) Prevalence of acute pulmonary embolism among patients in a general hospital and at autopsy. Chest 108(4):978–981CrossRefPubMed Stein PD, Henry JW (1995) Prevalence of acute pulmonary embolism among patients in a general hospital and at autopsy. Chest 108(4):978–981CrossRefPubMed
24.
Zurück zum Zitat Cvitanic O, Marino PL (1989) Improved use of arterial blood gas analysis in suspected pulmonary embolism. Chest 95(1):48–51CrossRefPubMed Cvitanic O, Marino PL (1989) Improved use of arterial blood gas analysis in suspected pulmonary embolism. Chest 95(1):48–51CrossRefPubMed
25.
Zurück zum Zitat McFarlane MJ, Imperiale TF (1994) Use of the alveolar-arterial oxygen gradient in the diagnosis of pulmonary embolism. Am J Med 96(1):57–62CrossRefPubMed McFarlane MJ, Imperiale TF (1994) Use of the alveolar-arterial oxygen gradient in the diagnosis of pulmonary embolism. Am J Med 96(1):57–62CrossRefPubMed
26.
Zurück zum Zitat Penaloza A et al (2013) Comparison of the unstructured clinician gestalt, the wells score, and the revised Geneva score to estimate pretest probability for suspected pulmonary embolism. Ann Emerg Med 62(2):117-124.e2CrossRefPubMed Penaloza A et al (2013) Comparison of the unstructured clinician gestalt, the wells score, and the revised Geneva score to estimate pretest probability for suspected pulmonary embolism. Ann Emerg Med 62(2):117-124.e2CrossRefPubMed
27.
Zurück zum Zitat Righini M et al (2008) Diagnosis of pulmonary embolism by multidetector CT alone or combined with venous ultrasonography of the leg: a randomised non-inferiority trial. Lancet 371(9621):1343–1352CrossRefPubMed Righini M et al (2008) Diagnosis of pulmonary embolism by multidetector CT alone or combined with venous ultrasonography of the leg: a randomised non-inferiority trial. Lancet 371(9621):1343–1352CrossRefPubMed
28.
Zurück zum Zitat Perelas A et al (2015) CT pulmonary angiography utilization in the emergency department: diagnostic yield and adherence to current guidelines. Am J Med Qual 30(6):571–577CrossRefPubMed Perelas A et al (2015) CT pulmonary angiography utilization in the emergency department: diagnostic yield and adherence to current guidelines. Am J Med Qual 30(6):571–577CrossRefPubMed
29.
Zurück zum Zitat Crichlow A, Cuker A, Mills AM (2012) Overuse of computed tomography pulmonary angiography in the evaluation of patients with suspected pulmonary embolism in the emergency department. Acad Emerg Med 19(11):1219–1226CrossRefPubMedPubMedCentral Crichlow A, Cuker A, Mills AM (2012) Overuse of computed tomography pulmonary angiography in the evaluation of patients with suspected pulmonary embolism in the emergency department. Acad Emerg Med 19(11):1219–1226CrossRefPubMedPubMedCentral
Metadaten
Titel
PrEdictive value of coMbined pre-test proBability and blOod gas anaLysis In pulmonary emboliSM—the EMBOLISM study
verfasst von
Moritz Meusel
Toni Pätz
Kim Gruber
Sebastian Kupp
Philipp-Johannes Jensch
Roza Saraei
Alexander Fürschke
Friedhelm Sayk
Ingo Eitel
Sebastian Wolfrum
Publikationsdatum
17.08.2022
Verlag
Springer International Publishing
Erschienen in
Internal and Emergency Medicine / Ausgabe 8/2022
Print ISSN: 1828-0447
Elektronische ISSN: 1970-9366
DOI
https://doi.org/10.1007/s11739-022-03075-w

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