| Literature DB >> 35778527 |
Yuan Liu1, Lili Geng1, Jian Xu2, Mei Sun3, Na Gao1, Jing Zhao1, Xue Han1, Xiaolin Zhang1, Xiaohui Zhao1, Ling Jiang1, Junjun Zhao4.
Abstract
The diagnostic procedure of pleural effusion (PEs) is challenging due to low detection rates and numerous aetiologies. Hence, any attempt to enhance diagnosis is worthwhile. We present a clinical pathway to guide combined application of interventional pulmonology (IP) for tracing causes of undiagnosed PEs. Subjects with undiagnosed PEs were identified in the Hospital Information System of Dalian Municipal Central Hospital from January 1, 2012, to December 31, 2018. Eligible subjects were divided into a group of combined tests and a group of medical thoracoscopy (MT). Optimal and subsequent diagnostic tests were performed depending on the guidance of the clinical pathway by matching profitable chest lesions with the respective adaptation. As the guidance of clinical pathway, common bronchoscopy would be preferentially selected if pulmonary lesions involved or within the central bronchus, EBUS-TBNA was favoured when pulmonary lesions were adjacent to the central bronchus or with the enlarged mediastinal/hilar lymph nodes, guided bronchoscopy would be preferred if pulmonary nodules/masses were larger than 20 mm with discernible bronchus signs, CT-assisted transthoracic core biopsy was preferred if pulmonary nodules were less than 20 mm, image guided cutting needle biopsy was the recommendation if the pleural thickness was larger than 10 mm and pulmonary lesions were miliary. MT was preferred only when undiagnosed PEs was the initial symptom and pulmonary lesions were miliary or absent. A total of 83.57% cases of undiagnosed PEs were eligible for the clinical pathway, and 659 and 216 subjects were included in the combined tests and MT groups, respectively, depending on the optimal recommendation of the clinical pathway. The total diagnostic yields in the combined tests and MT groups were 95.99% and 91.20%, respectively, and the difference in total diagnostic yield was statistically significant (χ2 = 7.510, p = 0.006). Overall, clinical pathway guidance of the combined application of IP is useful for tracing the causes of undiagnosed PEs. The diagnostic yield of undiagnosed PEs is significantly increased compared with that of MT alone.Entities:
Mesh:
Year: 2022 PMID: 35778527 PMCID: PMC9249795 DOI: 10.1038/s41598-022-15454-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1A clinical pathway to guide the selection of optimal and subsequent diagnostic tests. The optimal diagnostic tests in the first grey column were selected depending on the features of chest lesions in the corresponding line of the previous column. The subsequent diagnostic tests in the second grey column were selected depending on the findings of optimal diagnostic tests. EBUS-TBNA endobronchial ultrasound-guided transbronchial needle aspiration biopsy, TTCB transthoracic core biopsy, CNB cutting needle biopsy, VATS video-assisted thoracoscopic surgery.
Figure 2A primary systemic amyloidosis with transudative pleural effusions. Bilateral pleural effusions and prominent lesions on the right side were shown on images of the lung window (A). New lesions on the bilateral pulmonary field were identified as oedema after diagnostic thoracentesis and drainage (B, C). Oedema and hyperaemia on the pleura of the diaphragmatic surface (E) and irregular plaque of the parietal pleura near the costophrenic angle (D) were shown by medical thoracoscopy, and amyloidosis was suspected by histopathology. Diffuse left ventricular hypertrophy and prominent interventricular septum were shown by magnetic resonance imaging (F), and heart valve regurgitation existed. Cardiac amyloidosis was identified by myocardial biopsy (G, H), and amyloid-associated protein was deposited in the myocardial intercellular space and subendocardial layer on pathological slices (Congo red staining, 200 times magnification).
Figure 3A flow chart for enrolling clinical pathway to diagnose undiagnosed Pes.
Difference of diagnostic yield in two groups.
| Groups | Diagnostic yield of Optimal diagnostic tests | Total diagnostic yield of optimal and subsequent tests | χ2 | |
|---|---|---|---|---|
| Combined tests | 83.76% (552/659) | 95.99% (622/648) | 53.416 | |
| Medical thoracoscopy | 88.89% (192/216) | 91.20% (197/216) | 0.646 | 0.422 |
| X2 | 3.357 | 7.510 | ||
| 0.067 |
Combined tests in the group include common bronchoscopy, fine bronchoscopy, therapeutic bronchoscopy, EBUS-TBNA, guided bronchoscopy, TTCB and CNB, among others. The guiding techniques include radial endobronchial ultrasound, virtual bronchoscopy navigation and fluoroscopy in guided bronchoscopy.
p1 was obtained by comparing optimal and total diagnostic yields within a group.
p2 was obtained by comparing optimal or total diagnostic yields between two groups.
Significant values are in italic.
Diagnostic yield of optimal inspective tests by guidance of the clinical pathway.
| Tests type of initial choice | Included cases | Positive cases | Diagnostic yield (%) | 95% confidence interval (%) | χ2 | |
|---|---|---|---|---|---|---|
| Common bronchoscopy | 282 | 206 | 73.05 | 67.88, 78.22 | 19.121 | |
| EBUS-TBNA | 145 | 132 | 91.35 | 86.78, 95.92 | 0.434 | 0.510 |
| Guided bronchoscopy | 65 | 55 | 84.62 | 75.86, 93.38 | 0.851 | 0.354 |
| Pulmonary TTCB | 145 | 139 | 95.86 | 82.63, 99.09 | 5.537 | |
| Pleural CNB | 22 | 20 | 90.91 | 78.90, 102.92 | 0.084 | 0.772 |
| Medical thoracoscopy | 216 | 192 | 88.89 | 84.70, 93.08 |
The guiding techniques include radial endobronchial ultrasound, virtual bronchoscope navigation and fluoroscopy in guided bronchoscopy. TTCB denotes chest CT-assisted transthoracic core biopsy. CNB denotes ultrasound assisted cutting needle biopsy. The diagnostic yield of MT is compared with various interventional tests by the Chi-square test, and Pearson χ2 and probability values are listed; p < 0.05 denotes that the difference is significant statistically.
Significant values are in italic.