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Background High-throughput next-generation sequencing (HT-NGS) has the potential to detect a large variety of pathogens; however, the application of HT-NGS in lung transplant (LTx) recipients remains limited. We aimed to evaluate the value of HT-NGS for pathogen detection and diagnosis of pulmonary infection during early-stage post-lung transplantation. Methods In this retrospective study, we enrolled 51 LTx recipients who underwent lung transplantation between January 2020 and December 2020. Bronchoalveolar lavage fluid (BALF) samples were collected for the detection of pathogens using both HT-NGS and conventional microbiological testing. The detection of pathogens and diagnostic performance of HT-NGS were compared with that of conventional methods. Results HT-NGS provided a higher positive rate of pathogen detection than conventional microbiological testing (88.24% vs. 76.47%). The most common bacteria detected via HT-NGS during early-stage post-lung transplantation were Enterococcus, Staphylococcus, Pseudomonas and Klebsiella, while all fungi were Candida and all viruses were Herpesvirus. Uncommon pathogens, including Strongyloides, Legionella, and Mycobacterium abscesses were identified by HT-NGS. The sensitivity of HT-NGS for diagnosing pulmonary infection was significantly higher than that of conventional microbiological testing (97.14% vs. 68.57%; P Conclusion HT-NGS is a highly sensitive technique for pathogen detection, which may provide diagnostic advantages, especially in LTx recipients, contributing to the optimization of treatment regimens against pulmonary infection during early-stage post-lung transplantation.

We performed a meta‐analysis to determine cancer risks at multiple sites and their associations with tumor mutation burden (TMB), an index for immunogenicity, in heart or lung transplant recipients. A comprehensive search of PubMed, Web of Science, EMBASE, and Medline was conducted. Random effects models were used to calculate standardized incidence ratios (SIRs) versus the general population and to determine the risks of different cancers. Weighted linear regression (WLR) was used to analyze the associations between the SIRs and TMBs. (PROSPERO CRD42020159599). Data from 21 studies including 116,438 transplant recipients (51,173 heart transplant recipients and 65,265 lung transplant recipients) with a total follow‐up of 601,330.7 person‐years were analyzed. Compared with the general population, heart transplant recipients displayed a 3.13‐fold higher cancer risk [SIR: 3.13; 95% confidence interval (CI): 2.38–4.13; p, Our study demonstrated that both heart and lung transplant recipients displayed a higher risk of certain site‐specific cancers. These findings can provide individualized guidance for clinicians for detection of cancer among heart or lung transplantation recipients. In addition, we provided evidence that increased risks of post‐transplant cancers can be attributed to immunosuppression.

BACKGROUND: It has been reported that tubeless video-assisted thoracoscopic surgery (tubeless-VATS) is feasible and safe for thoracic diseases. Herein, we compared the early outcomes of mediastinal lesion resection between the tubeless and traditional VATS. METHODS: Clinical data of all patients who underwent thoracoscopic mediastinal tumor resection were retrospectively collected. The study involved two groups: tubeless and traditional VATS group. Propensity score matching (PSM) was applied to eliminate the population bias. Intraoperative and postoperative variables were compared among matched cohorts. RESULTS: In total, 43 patients in the tubeless group and 231 patients in the traditional VATS group were included. After 1:1 PSM, baseline characteristics were comparable. Anesthesia time (177.63 vs. 202.53 min; P=0.004) was shorter in tubeless group, while operation time (90.95 vs. 101.47 min; P=0.109) was similar. Overall, the total postoperative morbidity rate was similar in the two groups (15% vs. 12.5%; P=0.556). Specially, 4/43 patients in tubeless VATS group need to be re-put chest tubes postoperatively. A significant lower similar level of visual analogue scale score was observed in tubeless VATS group (1.73±0.48 vs. 3.41±0.87, P

Understanding the cancer risks in different transplant recipients helps early detection, evaluation, and treatment of post-transplant malignancies. Therefore, we performed a meta-analysis to determine the cancer risks at multiple sites for solid organ transplant recipients and their associations with tumor mutation burden (TMB), which reflects the immunogenicity. A comprehensive search of PubMed, Web of Science, EMBASE, Medline, and Cochrane Library was conducted. Random effects models were used to calculate the standardized incidence ratios (SIRs) versus the general population and determine the risks of different cancers. Linear regression (LR) was used to analyze the association between the SIRs and TMBs. Finally, seventy-two articles met our criteria, involving 2,105,122 solid organ transplant recipients. Compared with the general population, solid organ transplant recipients displayed a 2.68-fold cancer risk (SIR 2.68; 2.48–2.89; P

Background: As the COVID-19 pandemic continues to spread worldwide, there is still no accurate rapid diagnostic test for COVID-19, or monitoring tool for patient’s clinical course. An artificial-intelligence system (CoviDet) was therefore developed and applied on chest computed tomography (CT), to evaluate its application for rapid diagnosis and potential monitoring of COVID-19 patients. Methods: 1,201,074 CT slices from 2527 patients were grouped into 3 main groups: COVID-19 positive group, non-COVID-19 viral pneumonia group and control group. They were used to train and validate CoviDet novel stepwise diagnostic algorithm to diagnose COVID-19, with or without clinical data. A subset of COVID-19 patients with more than 3 consecutive CT images were selected for training and validation of the auto-segmentation and monitoring algorithm. Findings: CoviDet outperforms radiologists, and can diagnose COVID-19 based on CT alone with sensitivity of 0.93, specificity of 0.95 and AUC of 0.98 (95%CI 0.97-0.99; P

Background: Donor-derived cell free DNA (ddcf DNA) has been reported as a universal noninvasive biomarker for rejection monitoring in heart, kidney, liver, and lung transplantation. Current approaches based on next-generation sequencing for quantification of ddcf DNA, although promising, may be restricted by the requirement for donor material, as donor samples may not be available. Methods: We proposed a novel next-generation sequencing approach without donor-derived material and compared the non-donor-derived approach and the donor-derived approach using simulation testing and 69 clinical specimens. We also evaluated the performance for acute rejection and infection monitoring in lung transplantation. Results: The non-donor-derived approach reached similar efficacy as the donor-derived approach with a significant linear correlation of R2 = 0.98. Subsequent validation in clinical specimens demonstrated significant difference between the acute rejection group (4.83% ± 2.11%, mean ± SD) and the non-rejection group (1.61% ± 0.63%, mean ± SD) (P < 0.0001, Welch’s t test). With the cut-off value of 2.999, our approach had 90.48% sensitivity (95% CI, 69.62% - 98.83%), 100% specificity (95% CI, 91.59% - 100%), and AUC 0.9266 (95% CI, 0.8277 - 1.026). The test also had the ability to simultaneously detect infectious agents, especially cytomegalovirus, as compared with the clinical test. Conclusion: The proposed approach without donor-derived material could potentially be used to monitor acute rejection and infection in lung transplantation and may be applied to other types of solid organ transplantation.

Recently, it has been reported that the microRNA-132(miR-132) is linked with synaptic plasticity and cognitive impairment. The present study investigates that whether miR-132 is altered in circulating blood serum samples of post-stroke cognitive impairment (PSCI) patients.We collected samples from 39 subjects with PSCI, 37 subjects with post-stroke cognitive normality (PSCN), and 38 age-matched controls (AMC) for which ages, gender and education level were matched. MiR-132 was detected using a quantitative real-time PCR (qRT-PCR) method. To test the predictive value of miR-132 for PSCI, prediction capabilities were compared using the receiver operating characteristic (ROC) curves and area under curve (AUC) analysis.The level of miR-132 in PSCI patient serum was significantly elevated compared to that of PSCN and AMC subjects. The ROC curve showed that miR-132 achieved an AUC of 0.961 (p0.0001). Importantly, the miR-132 level was correlated with the Montreal Cognitive Assessment (MoCA) score in PSCI patients.These results indicated that there was a substantial correlation between serum miR-132 expression and post-stroke cognitive functionality, suggesting that miR-132 may be a risk marker for PSCI. Because of the limitations of this study, the results should be treated with caution.