Risk factors for left atrial thrombus or spontaneous echo contrast in non-valvular atrial fibrillation patients with low CHA2DS2-VASc score.

OBJECTIVE: Risk factors of left atrial thrombus (LAT) or spontaneous echo contrast (LASEC) in non-valvular atrial fibrillation (NVAF) had been reported. However, information in the subgroup of NVAF patients with low CHA2DS2-VASc scores was limited. Here, we evaluated the risk factors of LAT/LASEC in NVAF patients with low CHA2DS2-VASc scores. METHODS: Transesophageal echocardiography (TEE) file of NVAF patients with low CHA2DS2-VASc scores was reviewed (between June 2009 and Feb 2019) in this retrospective observational study. Binary logistic regression analysis was performed to identify risk factors other than the CHA2DS2-VASc score. Propensity score matching (PSM) was used to further evaluate independent risk markers for LAT/LASEC. The newly discovered factors were added to the CHA2DS2-VASc score, and receiver operating characteristic analysis was used to evaluate the ability of the model to predict LAT/LASEC. RESULTS: TEE files of 3056 NVAF patients with low CHA2DS2-VASc scores were reviewed. Regression analysis revealed elevated fibrinogen and enlarged left atrium (LA) were risk factors for LAT/LASEC. Further PSM analysis confirmed that elevated fibrinogen and enlarged LA were independent risk factors for LAT/LASEC. After including fibrinogen and left atrial diameter (LAD), the CHA2DS2-VASc score was more accurate for LAT/LASEC prediction in NVAF patients with low CHA2DS2-VASc scores (area under the curve difference is 0.241, 95% confidence interval (CI) 0.188-0.294, Z = 8.890, P < 0.0001). CONCLUSIONS: Elevated fibrinogen and enlarged LA were independent risk factors for LAT/LASEC in NVAF patients with low CHA2DS2-VASc scores. Taking fibrinogen and LAD into consideration may help improve LAT/LASEC risk evaluation, which warrants further validation studies.

The surgical perspective in neoadjuvant immunotherapy for resectable non-small cell lung cancer.

BACKGROUND: The recent novel conception of neoadjuvant immunotherapy has generated interest among surgeons worldwide, especially the lack of experience involving surgical treatment for the neoadjuvant immunotherapy population. METHODS: Patients with non-small cell lung cancer (NSCLC), who underwent neoadjuvant immunotherapy or chemo-immunotherapy, were retrospectively collected between September 2018 and April 2020. Demographic data, pathological and clinical features, therapeutic regimens and outcome data of all individuals were collected by retrospective chart review. Operative details, information of neoadjuvant therapy, were also abstracted. RESULTS: In total, 31 patients were included in the final analysis. The patients' median age was 61 years. In total, 29 of the patients were males, while 2 were females. Patients received a median of 3 doses before resection. The median duration from final treatment to surgery was 34 days. After neoadjuvant treatment, post-treatment computed tomography scan showed that 24 patients had partial response. In total, 12 of 31 patients had a major pathological response, 15 pathological downstaging. Three patients had no residual viable tumor. A positive surgical margin was identified in 7 cases. One or more postoperative complications occurred in 18 of all 31 patients. In total, 26 patients underwent next-generation sequencing before surgery in total. Among them, 2 patients were detected STK11 mutations, none of whom had a major pathological response by final pathological examination. CONCLUSIONS: Pulmonary resection after neoadjuvant immunotherapy or chemo-immunotherapy for resectable NSCLC appears to be safe with low operative mortality and morbidity rate in the current population.

Impacts of Climate Change on the Habitat Suitability and Natural Product Accumulation of the Medicinal Plant Sophora alopecuroides L. Based on the MaxEnt Model.

Sophora alopecuroides L., a perennial herb in the arid and semi-arid regions of northwest China, has the ecological functions of windbreaking and sand fixation and high medicinal value. In recent years, global warming and human activities have led to changes in suitable habitats for S. alopecuroides, which may affect the accumulation of natural products. In this study, MaxEnt 3.4 and ArcGIS 10.4 software were used to predict the distribution of potentially suitable habitats for S. alopecuroides in China under climate change. Furthermore, the geographical distribution of S. alopecuroides as affected by human activities, the differences in the content of natural products of S. alopecuroides between different suitable habitats, and the correlation between natural products and environmental factors were analyzed. The results showed that suitable habitats for S. alopecuroides were projected to expand in the future, and the major environmental factors were temperature (Bio1), rainfall (Bio18), and soil pH (pH). When Bio1, Bio18, and pH were 8.4283 °C, 7.1968 mm, and 9.9331, respectively, the distribution probability (P) of S. alopecuroides was the highest. After adding a human activity factor, the accuracy of the model prediction results was improved, and the area of suitable habitats was greatly reduced, showing a fragmented pattern. Meanwhile, habitat suitability had a specific effect on the content of natural products in S. alopecuroides. Specifically, the content of natural products in S. alopecuroides in wild habitats was higher than that in artificial cultivation, and highly suitable habitats showed higher contents than those in non-highly suitable habitats. The contents of total alkaloids and total flavonoids were positively correlated with human activities and negatively correlated with land use types. Among them, total alkaloids were negatively correlated with aspect, and total flavonoids were positively correlated with aspect. In addition, it is suggested that Xinjiang should be the priority planting area for S. alopecuroides in China, and priority should be given to protection measures in the Alashan area. Overall, this study provides an important foundation for the determination of priority planting areas and resource protection for S. alopecuroides.

Construction and validation of a nomogram of risk factors for new-onset atrial fibrillation in advanced lung cancer patients after non-surgical therapy.

Objective: Risk factors of new-onset atrial fibrillation (NOAF) in advanced lung cancer patients are not well defined. We aim to construct and validate a nomogram model between NOAF and advanced lung cancer. Methods: We retrospectively enrolled 19484 patients with Stage III-IV lung cancer undergoing first-line antitumor therapy in Shanghai Chest Hospital between January 2016 and December 2020 (15837 in training set, and 3647 in testing set). Patients with pre-existing AF, valvular heart disease, cardiomyopathy were excluded. Logistic regression analysis and propensity score matching (PSM) were performed to identify predictors of NOAF, and nomogram model was constructed and validated. Results: A total of 1089 patients were included in this study (807 in the training set, and 282 in the testing set). Multivariate logistic regression analysis showed that age, c-reactive protein, centric pulmonary carcinoma, and pericardial effusion were independent risk factors, the last two of which were important independent risk factors as confirmed by PSM analysis. Nomogram included independent risk factors of age, c-reactive protein, centric pulmonary carcinoma, and pericardial effusion. The AUC was 0.716 (95% CI 0.661-0.770) and further evaluation of this model showed that the C-index was 0.716, while the bias-corrected C-index after internal validation was 0.748 in the training set. The calibration curves presented good concordance between the predicted and actual outcomes. Conclusion: Centric pulmonary carcinoma and pericardial effusion were important independent risk factors for NOAF besides common ones in advanced lung cancer patients. Furthermore, the new nomogram model contributed to the prediction of NOAF.

A nomogram for predicting hyperprogressive disease after immune checkpoint inhibitor treatment in lung cancer.

Background: Immune checkpoint inhibitor (ICI) therapy is an emerging type of treatment for lung cancer (LC). However, hyperprogressive disease (HPD) has been observed in patients treated with ICIs that lacks a prognostic prediction model. There is an urgent need for a simple and easily implementable predictive model to predict the occurrence of HPD. This study aimed to establish a novel scoring system based on a nomogram for the occurrence of HPD. Methods: We retrospectively identified 1473 patients with stage III-IV LC or inoperable stage I-II LC (1147 in training set, and 326 in testing set), who had undergone ICI therapy at the Shanghai Chest Hospital between January 2017 and March 2022. Available computed tomography (CT) data from the previous treatment, before ICI administration, and at least 2 months after the first the course of ICI administration is collected to confirm HPD. Data from these patients' common blood laboratory test results before ICI administration were analyzed by the univariable and multivariable logistic regression analysis, then used to develop nomogram predictive model, and made validation in testing set. Results: A total of 1,055 patients were included in this study (844 in the training set, and 211 in the testing set). In the training set, 93 were HPD and 751were non-HPD. Multivariate logistic regression analyses demonstrated that lactate dehydrogenase [LDH, P<0.001; odds ratio (OR) =0.987; 95% confidence interval (CI): 0.980-0.995], mean corpuscular hemoglobin concentration (MCHC, P=0.038; OR =1.021; 95% CI: 1.003-1.033), and erythrocyte sedimentation rate (ESR, P=0.012; OR =0.989; 95% CI: 0.977-0.997) were significantly different. The prediction model was established and validated based on these 3 variables. The concordance index were 0.899 (95% CI: 0.859-0.918) and 0.924 (95% CI: 0.866-0.983) in training set and testing set, and the calibration curve was acceptable. Conclusions: This model, which was developed from a laboratory examination of LC patients undergoing ICI treatment, is the first nomogram model to be developed to predict HPD occurrence and exhibited good sensitivity and specificity.

Clinical, radiologic, and physiologic features of idiopathic pulmonary fibrosis (IPF) with and without emphysema.

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) can combine with emphysema, a condition termed as IPF with emphysema (IPFE). We compared the clinical, radiologic, and physiologic features of IPF and IPFE. RESEARCH DESIGN AND METHODS: Newly diagnosed IPF    and IPFE    patients were recruited between January 2018 and September 2020. Symptoms, high resolution computed tomography (HRCT), pulmonary function test (PFT) data, composite physiologic index (CPI), gender-age-physiology (GAP) scores, and follow-up data were obtained. RESULTS: The IPFE group had greater proportion of male smokers, and of lung cancer cases. The IPFE group had higher VC, FVC FEV1, and lower FEV1/FVC and DLCO and lower percent fibrosis on HRCT. Both groups had similar symptoms and mortality. Mortality rate was associated with inability to perform PFT, CPI, GAP scores, percent fibrosis, VC, FVC, FEV1, and DLCO, serum SCC-Ag and CA125, and anti-fibrotic therapy (≥12 months) in IPF, while it was associated with inability to perform PFT, CPI, percent fibrosis, DLCO, serum CEA, CYFRA21-1 and CA125, and anti-fibrotic therapy (≥12 months) in IPFE. CONCLUSION: IPF and IPFE patients are different in smoking history, physiologic indices, HRCT patterns and prognostic factors, however, they have similar mortality. Anti-fibrotic therapy could improve the survival rate in both IPF and IPFE.