Objectives. To evaluate the performance of Xpert MTB/RIF for lymph node tuberculosis (LNTB). Methods. We searched databases for published reports. We reviewed the studies and identified the performance of Xpert MTB/RIF with respect to a composite reference standard (CRS) and culture. We used a bivariate random-effects model to perform meta-analyses and used metaregression to analyze sources of heterogeneity. Results. 15 independent studies compared Xpert MTB/RIF with CRS while 21 comparing it with culture were included. The pooled sensitivity and specificity of Xpert MTB/RIF were 79% and 98% compared to that of CRS, respectively, and 84% and 91% compared to that of culture, respectively. The pooled sensitivity and specificity using fine needle aspiration (FNA) samples versus CRS were 80% and 96%, whereas those against culture were 90% and 89%, respectively. The percentages while working with tissue samples versus CRS were 76% and 100%, respectively, whereas those against culture were 76% and 92%, respectively. There was no significant difference in diagnostic efficiency among the types of specimen. Conclusions. Xpert MTB/RIF demonstrates good diagnostic efficiency for LNTB and is not related to the type of specimen, obtained via different routes.

To evaluate the accuracy of the CapitalBioMycobacterium real-time polymerase chain reaction (PCR) detection test for pulmonary Mycobacterium tuberculosis (MTB) and nontuberculous mycobacterial (NTM) infection. We analyzed 2460 samples from patients with suspected pulmonary mycobacterial infection collected between June 1, 2018, and July 31, 2019, to determine the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of the CapitalBio Mycobacterium detection test for MTB and NTM infections and to evaluate its diagnostic accuracy compared with mycobacterial culture. The sensitivity, specificity, PPV, NPV, and AUC of the CapitalBio Mycobacterium detection test for MTB was 83.0%, 79.9%, 80.8%, 82.2%, and 0.81, respectively. This was similar to the diagnostic accuracy of Xpert MTB/RIF for MTB and was significantly higher than that of smear. For pulmonary NTM infection, the sensitivity, specificity, PPV, NPV, and AUC of the test was 82.0%, 99.6%, 94.1%, 98.5%, and 0.91, respectively. The diagnostic accuracy of the CapitalBio Mycobacterium detection test was also significantly higher than that of smear for NTM. The CapitalBio Mycobacterium detection test has good diagnostic accuracy for MTB and NTM infections. It is of great significance in the differential diagnosis of early pulmonary mycobacterial infection.

This study aimed to assess the diagnostic performance of Xpert MTB/RIF for tuberculous pericarditis (TBP) using pericardial tissues. The study involved 30 patients admitted with suspected TBP from January–December 2016; three patients were later excluded. The interferon-γ release assay (T-SPOT.TB) and the Xpert MTB/RIF test were performed using peripheral blood and pericardial tissues, respectively. TBP was confirmed using pericardial histopathology and a composite reference standard (CRS). We analyzed the sensitivity, specificity, predictive value (PV), likelihood ratio (LR), and area under curve (AUC) of both assays. Fourteen patients were confirmed as TBP, 10 as non-TBP, and 3 as probable TBP. The sensitivity, specificity, positive PV (PPV), negative PV (NPV), PLR, NLR, and AUC (95% confidence interval [CI]) of the Xpert MTB/RIF assay were 78.6% (49.2–95.3%) and 70.6% (44.0–89.7%); 92.3% (64.0–99.8%) and 100% (69.2–100%); 91.7% (61.5–99.8%) and 100% (73.5–100%); 80.0% (51.9–95.7%) and 66.7% (38.4–88.2%); 10.21 (1.52–68.49) and the PLR value was undefined with CRS as the reference; 0.23 (0.08–0.64) and 0.29(0.14–0.61); and 0.854 (0.666–0.959) and 0.853 (0.664–0.959), against histopathology and CRS, respectively. The sensitivity, specificity, PPV, NPV, PLR, NLR, and AUC values (95% CI) of T-SPOT.TB were 92.9% (66.1–99.8%) and 94.1% (71.3–99.9%); 15.4% (1.9–45.5%) and 20.0% (2.5–55.6%); 54.2% (32.8–74.5%) and 66.7% (44.7–84.4%); 66.7% (9.4–99.2%) and 66.7% (9.4–99.2%); 1.10 (0.83–1.44) and 1.18 (0.84–1.6); 0.46 (0.05–4.53) and 0.29 (0.03–2.85); and 0.541(0.340–0.733) and 0.571(0.367–0.758), against histopathology and CRS, respectively. The differences in sensitivity, PPV, and AUC of Xpert MTB/RIF and T-SPOT.TB were not statistically significant (P > 0.05), compared to those of histopathology and CRS. However, the differences in specificity and NPV of the two assays were significant (P < 0.05), compared to those of histopathology and CRS. Xpert MTB/RIF test is a valid diagnostic technique for TBP with higher sensitivity and specificity than T-SPOT.TB.

Purpose: This study aimed to evaluate the efficacy of nanopore sequencing for diagnosing pulmonary tuberculosis (PTB) using smear-negative clinical specimens. Methods: We conducted a retrospective study based on a review of patient medical records to assess the accuracy of nanopore sequencing as a diagnostic tool for smear-negative PTB. Compared with clinical diagnosis, we determined the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of nanopore sequencing. Results: A total of 647 patients were evaluated. Nanopore sequencing demonstrated an overall sensitivity of 91.7%, specificity of 85.3%, PPV of 95.1%, NPV of 76.4%, and AUC of 0.88. Notably, the overall diagnostic accuracy of nanopore sequencing was significantly higher than that of Mycobacterium tuberculosis (MTB) culture technique. Conclusion: Nanopore sequencing exhibited satisfactory overall diagnostic accuracy for smear-negative PTB, regardless of MTB culture status. Therefore, if conditions permit, nanopore sequencing is recommended as a diagnostic method for smear-negative PTB.

Purpose: To compare the effectiveness and safety of drug-eluting bead bronchial artery chemoembolization (DEB-BACE) with conventional bronchial artery chemoembolization (cBACE) and provide a novel treatment option for advanced non-small cell lung cancer (NSCLC).Methods: Patients with advanced NSCLC underwent DEB-BACE or cBACE and were screened retrospectively. Progression-free survival (PFS) and overall survival (OS) were the primary outcome indicators, while technical success rate, objective response rate (ORR), disease control rate (DCR), and adverse events (AEs) were the secondary ones.Results: A total of 41 patients were enrolled in the study, 12 in the DEB-BACE group and 29 in the cBACE group, according to the treatment regimen. No patient achieved complete response. Eighteen patients achieved partial response (9 in each group), 15 patients achieved stable disease (3 in the DEB-BACE group and 12 in the cBACE group), and eight patients achieved progressive disease (all in the cBACE group) when treated for 2 months. The overall ORR and DCR were 43.9% (18/41) and 80.5% (33/41), respectively. ORR and DCR in the DEB-BACE group were 50.0% (9/12) and 100.0% (12/12), respectively, while ORR and DCR in the cBACE group were 31.0% (9/29) and 72.4% (21/29), respectively. Compared to cBACE, the ORR and DCR of DEB-BACE were significantly improved (p < 0.05). The median PFS was better in the DEB-BACE group than in the cBACE group (6.95 months vs. 3.20 months, respectively, Hazard Ratio [HR] = 0.416; p = 0.005). Furthermore, the median OS was significantly better in the DEB-BACE group than in the cBACE group (28.5 months vs. 22.5 months, respectively, HR = 0.316; p = 0.020).Conclusion: DEB-BACE has a good safety and therapeutic profile in advanced NSCLC and is superior to cBACE. DEB-BACE can be used as an alternative treatment option for advanced NSCLC, even in elderly patients.

OBJECTIVES: The goal of this study was to develop and validate a nomogram for predicting residual cavity formation after video-assisted thoracoscopic decortication in patients with chronic tuberculous empyema (CTE). METHODS: We retrospectively analysed patients who were diagnosed and treated for CTE at our hospital from January 2017 to December 2020. We used univariable and binary logistic regression analyses to identify independent risk factors. A predictive nomogram was developed and validated for predicting the risk of residual cavity formation after video-assisted thoracoscopic decortication in patients with CTE. The receiver operating characteristic (ROC) was used to evaluate the nomogram. RESULTS: Data from 103 patients were analysed. The contact area between the lung and empyema (P = 0.001, odds ratio [OR] 1.017, 95% confidence interval [CI] 1.007–1.028), calcification (P = 0.004, OR 0.12, 95% CI 0.029–0.501) and thickness of the pleura (P = 0.02, OR 1.315, 95% CI 1.045–1.654) were risk factors for residual cavity formation after video-assisted thoracoscopic decortication. A 50% residual cavity formation rate was used as the cut-off to validate the nomogram model. The area under the ROC curve for the nomogram was 0.891 (95% CI, 0.82–0.963). The sensitivity and specificity of the nomogram were 86.67% and 82.19%, respectively. The calibration curve indicated good consistency between the predicted and actual risks. CONCLUSIONS: The preliminary nomogram could contribute to preventing postoperative residual cavity formation and making appropriate surgical decisions.