Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study.

BACKGROUND: New-onset atrial fibrillation (NOAF) is the most common arrhythmia in critically ill patients admitted to intensive care and is associated with poor prognosis and disease burden. Identifying high-risk individuals early is crucial. This study aims to create and validate a NOAF prediction model for critically ill patients using machine learning (ML). METHODS: The data came from two non-overlapping datasets from the Medical Information Mart for Intensive Care (MIMIC), with MIMIC-IV used for training and subset of MIMIC-III used as external validation. LASSO regression was used for feature selection. Eight ML algorithms were employed to construct the prediction model. Model performance was evaluated based on identification, calibration, and clinical application. The SHapley Additive exPlanations (SHAP) method was used for visualizing model characteristics and individual case predictions. RESULTS: Among 16,528 MIMIC-IV patients, 1520 (9.2%) developed AF post-ICU admission. A model with 23 variables was built, with XGBoost performing best, achieving an AUC of 0.891 (0.873-0.888) in validation and 0.769 (0.756-0.782) in external validation. Key predictors included age, mechanical ventilation, urine output, sepsis, blood urea nitrogen, percutaneous arterial oxygen saturation, continuous renal replacement therapy and weight. A risk probability greater than 0.6 was defined as high risk. A friendly user interface had been developed for clinician use. CONCLUSION: We developed a ML model to predict the risk of NOAF in critically ill patients without cardiac surgery and validated its potential as a clinically reliable tool. SHAP improves the interpretability of the model, enables clinicians to better understand the causes of NOAF, helps clinicians to prevent it in advance and improves patient outcomes.

Pelvic congestion syndrome analysis through quantitative 2-dimensional phase-contrast magnetic resonance imaging: A promising vision from an observational cohort study.

BACKGROUND: To examine the application of quantitative 2-dimensional phase-contrast magnetic resonance imaging (2D PC-MRI) for treating patients with pelvic congestion syndrome (PCS). MATERIALS AND METHODS: We conducted a retrospective cross-sectional analysis by using quantitative 2D PC-MRI data enrolled between April 2017 and Sep 2023. In addition, 32 healthy female controls (HCs) were included. RESULTS: Most patients with PCS presented with chronic pelvic pain and more than half had extra-pelvic venous symptoms (80/81, 98% and 45/81, 56%, respectively). Quantitative 2D PC-MRI analyzed the 81 patients with PCS, 239 patients without PCS, and 32 HCs. The patients with PCS had higher stroke volume (SV), absolute SV (ASV), and mean flux (MF) in the calf region (interstitial pixel shift) than did the HCs. In the left gonadal vein, the patients with PCS had higher SV, backward flow volume (BFV), ASV, and MF and lower forward flow volume (FFV), stroke distance (SD), and mean velocity (MV) than did the HCs. However, the patients with PCS had lower SV, FFV, MF, SD, and MV in the great saphenous veins. Quantitative 2D PC-MRI analysis revealed that the PCS group had higher SV, FFV, BFV, ASV, and MF in the calf region than did the non-PCS group. The variables that most strongly differentiated the patients with PCS from the HCs were SV in the great saphenous veins, SD in the great saphenous veins and left gonadal vein, and MV in the great saphenous veins and left gonadal vein. Caudal flow in the left gonadal vein was identified in half of the patients with PCS (39/81, 48.1%); 14 of them received embolization for left gonadal vein. CONCLUSIONS: In additional to providing an objective 3-dimensional morphology of the pelvic veins and extra-pelvic leaks, quantitative 2D PC-MRI analysis reveals distinct hemodynamic profiles between patients with PCS, those without PCS, and HCs, especially in the gonadal veins and regional perfusion of the calves.

A Clinical-radiomic Nomogram for the Non-invasive Evaluation of Glomerular Status in Diabetic Kidney Disease.

OBJECTIVE: Utilizing ultrasound radiomics, we developed a machine learning (ML) model to construct a nomogram for the non-invasive evaluation of glomerular status in diabetic kidney disease (DKD). MATERIALS AND METHODS: Patients with DKD who underwent renal biopsy were retrospectively enrolled between February 2017 and February 2023. The patients were classified into mild or moderate-severe glomerular severity based on pathological findings. All patients were randomly divided into a training (n =79) or testing cohort (n = 35). Radiomic features were extracted from ultrasound images, and a logistic regression ML algorithm was applied to construct an ultrasound radiomic model after selecting the most significant features using univariate analysis and the least absolute shrinkage and selection operator algorithm (LASSO). A clinical model was created following univariate and multivariate logistic regression analyses of the patient's clinical characteristics. Then, the clinical-radiomic model was constructed by combining rad scores and independent clinical characteristics and plotting the nomogram. The receiver operating characteristic curve (ROC) and decision curve analysis (DCA), respectively, were used to evaluate the prediction abilities of the clinical model, ultrasound-radiomics model, and clinical-radiomics model. RESULTS: A total of 114 DKD patients were included in the study, including 43 with mild glomerulopathy and 71 with moderate-severe glomerulopathy. The area under the curve (AUC) for the clinical model based on clinical features and the radiomic model based on 2D ultrasound images in the testing cohort was 0.729 and 0.761, respectively. Further, the AUC for the clinical-radiomic nomogram was constructed by combining clinical features, and the rad score was 0.850 in the testing cohort. The outcomes were better than those of both the radiomic and clinical single-model approaches. CONCLUSION: The nomogram constructed by combining ultrasound radiomics and clinical features has good performance in assessing the glomerular status of patients with DKD and will help clinicians monitor the progression of DKD.

NT-proBNP point-of-care testing for predicting mortality in end-stage renal disease: A survival analysis.

This study examines the predictive value of elevated N-terminal-pro brain natriuretic peptide (NT-pro BNP) levels for mortality among patients with end-stage renal disease (ESRD). Data from 768 ESRD patients, excluding those with cancer or lost follow-up, were analyzed using Kaplan-Meier curves and Cox proportional hazards models over three years. Results indicated that patients with very high NT-pro BNP levels had shorter average survival times and a significantly higher risk of mortality (hazard ratio 1.43). Advanced age, ICU admission, and comorbidities like cerebrovascular diseases and chronic obstructive pulmonary disease also contributed to increased mortality risks. Thus, elevated NT-pro BNP is an independent risk factor for mortality in ESRD patients.

Genome-wide analysis of ATP-binding cassette (ABC) transporter in Penaeus vannamei and identification of two ABC genes involved in immune defense against Vibrio parahaemolyticus by affecting NF-κB signaling pathway.

The ATP-binding cassette (ABC) transporters have crucial roles in various biological processes such as growth, development and immune defense in eukaryotes. However, the roles of ABC transporters in the immune system of crustaceans remain elusive. In this study, 38 ABC genes were systematically identified and characterized in Penaeus vannamei. Bioinformation analysis revealed that PvABC genes were categorized into ABC A-H eight subfamilies with 17 full-transporters, 11 half transporters and 10 soluble proteins, and multiple immunity-related cis-elements were found in gene promoter regions. Expression analysis showed that most PvABC genes were widely and highly expressed in immune-related tissues and responded to the stimulation of Vibrio parahaemolyticus. To investigate whether PvABC genes mediated innate immunity, PvABCC5, PvABCF1 and PvABCB4 were selected for dsRNA interference experiment. Knockdown of PvABCF1 and PvABCC5 not PvABCB4 increased the cumulative mortality of P. vannamei and bacterial loads in hepatopancreas after infection with V. parahaemolyticus. Further analysis showed that the PvABCF1 and PvABCC5 knockdown decreased expression levels of NF-κB pathway genes and antimicrobial peptides (AMPs). Collectively, these findings indicated that PvABCF1 and PvABCC5 might restrict V. parahaemolyticus challenge by positively regulating NF-κB pathway and then promoting the expression of AMPs, which would contribute to overall understand the function of ABC genes in innate immunity of invertebrates.

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted from patients with lupus nephritis (LN), this attempt was made to non-invasively predict the chronicity index (CI)of LN. METHODS: A retrospective collection of 136 patients with LN who had renal biopsy was retrospectively collected, and the patients were randomly divided into training set and validation set according to 7:3. Radiomics features are extracted from ultrasound images, independent factors are obtained by using LASSO dimensionality reduction, and then seven ML models were used to establish predictive models. At the same time, a clinical model and an US model were established. The diagnostic efficacy of the model is evaluated by analysis of the receiver operating characteristics (ROC) curve, accuracy, specificity, and sensitivity. The performance of the seven machine learning models was compared with each other and with clinical and US models. RESULTS: A total of 1314 radiomics features are extracted from ultrasound images, and 5 features are finally screened out by LASSO for model construction, and the average ROC of the seven ML is 0.683, among which the Xgboost model performed the best, and the AUC in the test set is 0.826 (95% CI: 0.681-0.936). For the same test set, the AUC of clinical model constructed based on eGFR is 0.560 (95% CI: 0.357-0.761), and the AUC of US model constructed based on Ultrasound parameters is 0.679 (95% CI: 0.489-0.853). The Xgboost model is significantly more efficient than the clinical and US models. CONCLUSION: ML model based on ultrasound radiomics features can accurately predict the chronic degree of LN, which can provide a valuable reference for clinicians in the treatment strategy of LN patients.

Continuity of Radiologists Between Diagnostic Breast Imaging and Image-Guided Breast Biopsy: Impact on Patient-Reported Biopsy Morbidity Experiences.

OBJECTIVE: To determine whether continuity of care between diagnostic breast imaging and subsequent image-guided breast biopsy could reduce patient-reported biopsy-related morbidity. METHODS: This was a prospective, pragmatically randomized, 2-arm health utilities analysis of 200 women undergoing diagnostic breast imaging followed by US- or stereotactic-guided breast biopsy at a single quaternary care center from September 3, 2019, to April 10, 2023. Breast biopsy-naive women with a BI-RADS 4 or 5 finding at diagnostic imaging were randomly scheduled for the typically first available biopsy appointment. One day after biopsy, enrolled patients were administered the Testing Morbidities Index (TMI). The primary outcome was the difference in TMI summary utility scores in patients who did vs did not have the same radiologist perform diagnostic imaging and biopsy. RESULTS: Response rates were 63% (100/159) for the different radiologist cohort and 71% (100/140) for the same radiologist cohort; all respondents answered all questions in both arms. Mean time to biopsy was 7 ± 6 days and 10 ± 9 days, and the number of participating radiologists was 11 and 18, respectively. There was no difference in individual measured domains (pain, fear, or anxiety before procedure; pain, embarrassment, fear, or anxiety during procedure; mental or physical impact after procedure; all P >.00625) or in overall patient morbidity (0.83 [95% CI, 0.81-0.85] vs 0.82 [95% CI: 0.80-0.84], P = .66). CONCLUSION: Continuity of care between diagnostic breast imaging and image-guided breast biopsy did not affect morbidity associated with breast biopsy, suggesting that patients should be scheduled for the soonest available biopsy appointment rather than waiting for the same radiologist.

Construction and performance evaluation of pH-responsive oxidized hyaluronic acid hollow mesoporous silica nanoparticles.

In this study, hollow mesoporous silica (HMSN) was created to facilitate drug distribution using the hard template method. The oxidized hyaluronic acid (oxiHA) was coated on the carrier surface by the Schiff base reaction, producing the pH-responsive nanoparticles HMSNs-DOX-oxiHA targeted by CD44 and preventing drug leakage from mesopores. The prepared nanoparticles had a size of 151.79 ± 13.52 nm and a surface potential of -8.42 ± 0.48 mV. The rich mesoporous structure and internal cavity of HMSNs-NH2 achieved the effective encapsulation and loading rates of doxorubicin (DOX) at 76.84 ± 0.24 % and 18.73 ± 0.05 %, respectively. Owing to the pH sensitivity of imine bonds, HMSNs-DOX-oxiHA has a good pH response and release performance. The in vitro experiments showed that the nanoparticles were not cytotoxic and could enhance HCT-116 uptake efficiency by hyaluronic acid/CD44 receptor-mediated endocytosis, effectively inhibiting tumor cell proliferation and reducing toxic side effects on normal cells. In summary, the polysaccharide-based nano-drug delivery system constructed in this experiment not only has the basic response properties of a carrier but also introduces the bioactive advantages of natural polysaccharides.

Dual-targeting compounds possessing enhanced anticancer activity via microtubule disruption and histone deacetylase inhibition.

Dual-targeting anticancer agents 4-29 are designed by combining the structural features of purine-type microtubule-disrupting compounds and HDAC inhibitors. A library of the conjugate compounds connected by appropriate linkers was synthesized and found to possess HDACs inhibitory activity and render microtubule fragmentation by activating katanin, a microtubule-severing protein. Among various zinc-binding groups, hydroxamic acid shows the highest inhibitory activity of Class I HDACs, which was also reconfirmed by three-dimensional quantitative structure-activity relationship (3D-QSAR) pharmacophore prediction. The purine-hydroxamate conjugates exhibit enhanced cytotoxicity against MDA-MB231 breast cancer cells, H1975 lung cancer cells, and various clinical isolated non-small-cell lung cancer cells with different epidermal growth factor receptor (EGFR) status. Pyridyl substituents could be used to replace the C2 and N9 phenyl moieties in the purine-type scaffold, which can help to improve the solubility under physiological conditions, thus increasing cytotoxicity. In mice treated with the purine-hydroxamate conjugates, the tumor growth rate was significantly reduced without causing toxic effects. Our study demonstrates the potential of the dual-targeting purine-hydroxamate compounds for cancer monotherapy.

Influence of Fe2O3 on the Properties and Structure of Iron Coke.

Iron cokes were produced in an electrical furnace from a coal blend containing varying levels of added Fe2O3. The effects of Fe2O3 on the properties and structure of the iron coke were then investigated using the coke for metallurgy determination of mechanical strength, determination of coke reactivity and coke strength after the reaction, X-ray diffraction, Raman spectroscopy, and a method for quantitative analysis of the minerals in coal and coke. Further, the relationships between the properties and structures of iron coke samples were established. The results show that the addition of Fe2O3 can reduce the tumble strength, coke strength after the reaction, aromaticity, microcrystalline size, graphitization degree, crystalline volume, and carbon order degree of the iron coke and increase the abrasion resistance, coke reactivity index, and pulverization rate. Moreover, the degree of influence increases with increasing levels of added Fe2O3. The Fe2O3 is mainly transformed into metallic iron during the coking process, and part of metallic iron is converted into Fe3O4 during iron coke gasification. With an increasing Fe2O3 content, the trend of the change in the minerals from Fe to Fe3O4 becomes much more obvious, resulting in deeper influences on the iron coke thermal properties. There are obvious correlations among the iron coke reactivity and iron coke strength after the reaction and the crystalline volume, carbon order degree, and metallic iron content. It is concluded that the addition of Fe2O3 decreases the crystalline volume and carbon order degree and increases the metallic iron content, resulting in increases in abrasion resistance and coke reactivity and decreases in tumble strength and coke strength after the reaction.

Effects of different strains fermentation on nutritional functional components and flavor compounds of sweet potato slurry.

In this paper, we study the effect of microbial fermentation on the nutrient composition and flavor of sweet potato slurry, different strains of Aspergillus niger, Saccharomyces cerevisiae, Lactobacillus plantarum, Bacillus coagulans, Bacillus subtilis, Lactobacillus acidophilus, and Bifidobacterium brevis were employed to ferment sweet potato slurry. After 48 h of fermentation with different strains (10% inoculation amount), we compared the effects of several strains on the nutritional and functional constituents (protein, soluble dietary fiber, organic acid, soluble sugar, total polyphenol, free amino acid, and sensory characteristics). The results demonstrated that the total sugar level of sweet potato slurry fell significantly after fermentation by various strains, indicating that these strains can utilize the nutritious components of sweet potato slurry for fermentation. The slurry's total protein and phenol concentrations increased significantly, and many strains demonstrated excellent fermentation performance. The pH of the slurry dropped from 6.78 to 3.28 to 5.95 after fermentation. The fermentation broth contained 17 free amino acids, and the change in free amino acid content is closely correlated with the flavor of the sweet potato fermentation slurry. The gas chromatography-mass spectrometry results reveal that microbial fermentation can effectively increase the kinds and concentration of flavor components in sweet potato slurry, enhancing its flavor and flavor profile. The results demonstrated that Aspergillus niger fermentation of sweet potato slurry might greatly enhance protein and total phenolic content, which is crucial in enhancing nutrition. However, Bacillus coagulans fermentation can enhance the concentration of free amino acids in sweet potato slurry by 64.83%, with a significant rise in fresh and sweet amino acids. After fermentation by Bacillus coagulans, the concentration of lactic acid and volatile flavor substances also achieved its highest level, which can considerably enhance its flavor. The above results showed that Aspergillus niger and Bacillus coagulans could be the ideal strains for sweet potato slurry fermentation.

Quantitative two-dimensional phase-contrast magnetic resonance imaging characterization of lower extremity venous disease: venous reflux versus venous obstruction.

Background: Lower extremity venous disease (LEVD) is a complex disorder, and determining the etiology of LEVD is paramount for treatment selection. Two-dimensional phase-contrast magnetic resonance imaging (2D PC-MRI) can provide an objective measure of hemodynamic status and may help differentiate between different etiologies of LEVD. A total of 271 participants, including 256 symptomatic patients with venous lower extremity disease and 15 healthy volunteers, were collected in this cohort study. Methods: It is a single-center prospective observational study using 2D PC-MRI analysis to assess the hemodynamic characteristics of patients with LEVD among participants recruited between April 2017 and October 2021 at a tertiary hospital. The approval institutional review board number for this study were 201802137B0, 201901058B0, 202100938B0, and 202102344B0. Participants were classified as venous reflux (VR) and venous obstruction (VO) by standard ultrasonography. 2D PC-MRI by 1.5 T scanner revealed stroke volume (SV), forward flow volume (FFV), absolute stroke volume (ASV), mean flux (MF), velocity time integral (VTI), and mean velocity (MV) for each selected venous segments. Results: 2D PC-MRI assessed 167 diseased legs from the 116 VR patients [mean age ± standard deviation (SD): 57.9±12.8 years; 39 males] and 113 diseased legs from the 95 VO patients (mean age ± SD: 66.4±12.8 years; 42 males). 2D PC-MRI analysis demonstrated discrimination ability to differentiate from VR to VO [SV, FFV, ASV, MF, VTI, and MV in the various venous segments, respectively, P≤0.001; area under the curve (AUC) =62-68.8%, P≤0.001 by Mann-Whitney U test]. The ratio data (morbid limb to normal limb) in the same individual with single-leg disease revealed differences between VR and VO (SV, FFV, ASV, and MF in the various venous segments, respectively; P<0.05; AUC =60.2-68.7%, P≤0.05 by Mann-Whitney U test). The most favorable differentiating variables of ratios were FFV in the great saphenous veins [AUC =68.7%, 95% confidence interval (CI): 59.8-77.6%] and ASV in the external iliac veins (AUC =67.4%, 95% CI: 58.7-76.2%). Conclusions: Quantitative 2D PC-MRI analysis is capable of differentiating VR from VO. It also provides an important diagnostic capability for preoperative evaluation.

Neutrophil-Lymphocyte Ratio as a Predictor of Cerebral Small Vessel Disease in a Geriatric Community: The I-Lan Longitudinal Aging Study.

Cerebral Small Vessel Disease (CSVD) frequently affects the elderly, with inflammation playing a crucial role in related health complications, including dementia, stroke, and SVD. Studies, including animal experiments, indicate a strong link between inflammation and SVD progression. The Neutrophil-Lymphocyte Ratio (NLR) serves as a possible biomarker for ongoing inflammatory risks. A total of 720 adults aged 50 years or older from the community-based I-Lan Longitudinal Aging Study were included in this study. General linear regression and ordinally logistic regression analyses were performed to evaluate the association between NLR and CSVD. We further examined the presence of lacune, microbleed, and white matter hyperintensity (WMH) on brain MRI, which were used to construct a combined CSVD score. The NLR was positively associated with WMH (adjusted r = 0.109, p = 0.003), microbleed (adjusted r = 0.102, p = 0.006), and lacune (adjusted r = 0.100, p = 0.008). After adjustments for smoking, drinking, and physical activity in the ordinal logistic regression analysis, age, gender, brachial Systolic Blood Pressure (SBP), fasting glucose, LDL-cholesterol, and Hs-CRP were compared among subjects with low tertile (T1), medium tertile (T2) and high tertile (T3) NLR. The results showed that T2 vs. T1 had an odds ratio of 1.23 (0.86-1.77); and T3 vs. T1 had an odds ratio of 1.87 (1.29-2.71) of CSVD scores in four groups (zero (reference group), one, two, and three or more). NLR could be used to assess the state of inflammation in cerebral vessels. A significant and positive correlation between NLR and CSVD was verified in this study. However, the practical clinical application of NLR in CSVD patients and prognosis prediction should be validated through more scientific attempts.

A successful process of treatment with necrotizing fasciitis of upper extremities in patients with diabetes mellitus: a case report.

Necrotizing fasciitis (NF) represents a rapidly progressive, life-threatening infection involving the fascia and subcutaneous tissue. Early diagnosis and intervention are crucial to treat, especially in diabetic patients. Case presentation: This case report presents on a patient with diabetes mellitus rapidly developed a NF of the upper extremities following a minor trauma in the palmar of greater thenar. In the initial stages of her hospital admission, severe hand soft tissue infection, and systemic toxicity is the most prominent clinical manifestation. During her hospitalization, efficacious multidisciplinary treatment was carried out to avoid severe consequences. Clinical discussion and conclusion: The objective of this case report is to present a successful individual strategy in a complex case to standardize the treatment process. Accurate and standardized management can improve the prognosis of patients affected from upper extremities NF of diabetic avoiding and severe complications and saving lives.

Inhibit ALDH3A2 reduce ovarian cancer cells survival via elevating ferroptosis sensitivity.

Ovarian cancer (OC) is a malignant gynecologic tumor with high morbidity and mortality. As a newly discovered mode of programmed cell death, ferroptosis has been involved in various pathological processes of kinds of tumors in recent years. Aldehyde dehydrogenase 3 family member A2 (ALDH3A2) catalyzes the oxidation of long-chain aliphatic aldehydes to fatty acid. ALDH3A2 has been shown to be associated with ferroptosis in acute myeloid leukemia (AML), but the mechanism remains unclear. In this study, we analyzed the TCGA and GTEx databases and showed that high ALDH3A2 expression predicted poor prognosis in ovarian cancer. Further studies found that knockout or overexpression of ALDH3A2 correspondingly increased or attenuated the ferroptosis sensitivity of ovarian cancer cells. And sequencing revealed that ALDH3A2 knockout led to the activation of lipid metabolic, GSH metabolic, phospholipid metabolic, and aldehyde metabolic pathways, suggesting that ALDH3A2 induced changes in the sensitivity of ovarian cancer cells to ferroptosis by affecting these metabolic processes. Our results provide a new promising therapeutic strategy for the treatment of OC.

Efficiency and toxicity of nab-paclitaxel and camrelizumab in the second or above line treatment of advanced non-small cell lung cancer: a retrospective cohort study.

Background: Paclitaxel-based chemotherapy represented by nanoparticle albumin-bound paclitaxel (nab-ptx) combined with programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1) inhibitors has become the standard model for the 1st treatment of advanced non-small cell lung cancer (NSCLC) with negative driver genes (such as EGFR, ALK, etc.), indicating that nab-ptx and PD-1/PD-L1 inhibitors are synergistic. Considering PD-1/PD-L1 inhibitors alone or chemotherapy single has limited efficiency in the 2nd line or above of NSCLC, so it is of great significance to explore the combination of PD-1/PD-L1 inhibitors and nab-ptx to further improve the therapeutic efficiency in such field. Methods: We retrospectively collected the date of these advanced NSCLC patients who accept the combination treatment of PD-1/PD-L1 inhibitor and nab-ptx in the 2nd or above line. We further analysed baseline clinical characteristics, therapeutic efficacy, treatment-related adverse events (AEs) and followed up survival. The main parameters of the study were objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and AEs. Results: A total of 53 patients were enrolled in this study. The preliminary results indicated that the ORR of the combination of camrelizumab and nab-ptx was about 36% in the 2nd or above line of NSCLC, with 19 cases of partial response (PR), 16 of stable disease (SD), and 18 cases of progressive disease (PD); the mean PFS and OS were 5 months and 10 months, respectively. Further subgroup analysis demonstrated that the expression of PD-L1 level and the decrease of regulatory T cell (Treg) correlated with the efficiency. the main adverse reactions were neuropathy, bone marrow suppression, fatigue, and hypothyroidism, most of which were mild and tolerable, indicating such regimen was higher efficiency and lower cytotoxicity for NSCLC. Conclusions: The combination of nab-ptx and camrelizumab shows promising efficiency and lower toxicities for advanced NSCLC in the 2nd or above line treatment. The mechanism of action may be related to depleting Treg ratio; such a regimen may have the potential to become an effective treatment approach for NSCLC. However, due to the limitation of sample size, the real value of this regimen needs to be further confirmed in the future.

Treatment options for recurrent platinum-resistant ovarian cancer: A systematic review and Bayesian network meta-analysis based on RCTs.

Background: There are a variety of treatment options for recurrent platinum-resistant ovarian cancer, and the optimal specific treatment still remains to be determined. Therefore, this Bayesian network meta-analysis was conducted to investigate the optimal treatment options for recurrent platinum-resistant ovarian cancer. Methods: Pubmed, Cochrane, Embase, and Web of Science were searched for articles published until 15 June 2022. The outcome measures for this meta-analysis were overall survival (OS), progression-free survival (PFS), and adverse events (AEs) of Grade 3-4. The Cochrane assessment tool for risk of bias was used to evaluate the risk of bias of the included original studies. The Bayesian network meta-analysis was conducted. This study was registered on PROSPERO (CRD42022347273). Results: Our systematic review included 11 RCTs involving 1871 patients and 11 treatments other than chemotherapy. The results of meta-analysis showed that the overall survival (OS) was the highest in adavosertib + gemcitabine compared with conventional chemotherapy, (HR=0.56,95%CI:0.35-0.91), followed by sorafenib + topotecan (HR=0.65, 95%CI:0.45-0.93). In addition, Adavosertib + Gemcitabine regimen had the highest PFS (HR=0.55,95%CI:0.34-0.88), followed by Bevacizumab + Gemcitabine regimen (HR=0.48,95%CI:0.38-0.60) and the immunotherapy of nivolumab was the safest (HR=0.164,95%CI:0.312-0.871) with least adverse events of Grades 3-4. Conclusions: The results of this study indicated that Adavosertib (WEE1 kinase-inhibitor) + gemcitabine regimen and Bevacizumab + Gemcitabine regimen would be significantly beneficial to patients with recurrent platinum-resistant ovarian cancer, and could be preferred for recurrent platinum-resistant ovarian cancer. The immunotherapeutic agent, Nivolumab, is of considerable safety, with a low risk for grade-III or IV adverse events. Its safety is comparable to Adavosertib + gemcitabine regimen. Pazopanib + Paclitaxel (weekly regimen), Sorafenib + Topotecan/Nivolumab could be selected if there are contraindications of the above strategies. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42022347273.