Assessing Antibiotic Adherence and Improving Antibiotic Stewardship in Common Interventional Radiology Procedures

PurposeIn 2018, The Journal of Vascular and Interventional Radiology (JVIR) updated its guidelines regarding periprocedural antibiotics. However, some institutions are slower to adopt these new guidelines. Additionally, antibiotic-resistant bacteria and sepsis are serious concerns due in part to incorrect usage of antibiotics. The purpose of this study is to assess institutional adherence to 2018 JVIR guidelines for the purpose of improving antibiotic stewardship.Materials and methodsA total of 800 cases over a 10-month time period were retrospectively identified and charted following the release of guidelines. Inclusion criteria for the study were adults aged 21 years or older undergoing mediport placement, tunneled central line (TCL) placement, nephrostomy tube exchange, percutaneous biliary drain, or cholecystostomy tube exchange. Exclusion criteria included immunocompromised and pregnant individuals as 2018 guidelines may not fit these patient populations. Guideline adherence for each procedure was recorded as a percentage; the timing of the antibiotic usage was also recorded and compared to the guidelines (within 60 minutes before incision).ResultsIn total, 49 mediport placements, 118 tunneled central line placements – 44 hemodialysis (HD) catheters and 74 nonhemodialysis (non-HD) catheters, 100 nephrostomy exchanges, and 82 biliary tube exchanges were included. Antibiotics were used in 83.6% (41/49) of mediport patients, 11.3% (5/44) of non-HD TCL patients, 20.5% (15/74) of HD TCL patients, 55% (55/100) nephrostomy tube changes, and 65.4% (55/84) of biliary or cholecystostomy tube exchanges. Out of those given prophylaxis, guideline-recommended antibiotics were used in 100% (41/41) of mediport, 100% (20/20) of TCL (both HD and non-HD catheters), 9% (5/55) of nephrostomy tube exchanges, and 1.8% (1/55) of biliary tube exchanges. Guideline-recommended timing was followed in 75.3% across all cases (ranging from 72.2% in mediports to 79.3% in biliary exchanges).ConclusionThis study of antibiotic practices at a single university-based academic institution revealed that antibiotic usage is not fully up to date with 2018 guidelines. For mediports, non-HD TCL placements, and nephrostomy tube exchanges, institutional changes should be made to reduce periprocedural antibiotic use, as antibiotics are no longer recommended for these procedures. For HD TCL and biliary exchanges, proper adherence to recommended prophylactic antibiotics should be followed. In addition, education about the correct antibiotic timing should be emphasized to increase compliance with guidelines.     

Comparison of microtransplantation,chemotherapy and allogeneic transplantation in post-remission therapy for Philadelphia chromosome-positive acute lymphoblastic leukemia

Patients with Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph⁺ ALL) have poor prognosis, and the efficacy of chemotherapy plus tyrosine kinase inhibitors (TKIs) followed by mismatched donor stem cell infusion (microtransplantation, MST) has not been determined. We retrospectively summarized 45 patients including 11 undergoing MST with TKIs, 17 receiving allogeneic transplant and 17 undergoing chemotherapy with TKIs. Improved 4-year overall survival rate was observed in the MST group (91%) compared with either transplant group (31%, P = .005) or chemotherapy group (36%, P = .013). The MST group also had higher 2-year and 4-year leukemia-free survival rates (91% and 72%, respectively) compared with either transplant group (33%, P = .005 and 33%, P = .021, respectively) or chemotherapy group (41%, P = .017 and 31%, P = .023, respectively). 2-year and 4-year cumulative incidences of hematologic relapse were lower in the MST group (9% and 28%, respectively) compared with those in the chemotherapy group (56%, P = .025 and 67%, P = .034, respectively). In patients undergoing MST, donor microchimerism was detected (1.07 × 10^-5 to 6.6 × 10^-4 copies from 9 to 1499 days) in 7 patients, and donor/patient-derived HLA*0201/2402⁺WT1⁺CD8⁺ T cells were found from 0.05% to 0.67% in 6 patients. MST may provide a favorable treatment for patients with Ph⁺ ALL.     

益气养精法对老年肺癌患者肿瘤标志物、生存期影响研究

目的探究益气养精法对老年肺癌患者肿瘤标志物、生存期影响。方法研究纳入60例老年肺癌患者,均由本院2016年1月-2017年1月收治,采取随机数字表法将患者分为两组,对照组患者(30例)常规化疗治疗,观察组患者(30例)在化疗基础上联合益气养精法治疗,比较两组患者治疗效果、治疗前后癌胚抗原(carcino-embryonic antigen,CEA)及血清癌抗原125(serum oncoantigen 125,CA 125)肿瘤标志物水平、不良反应情况及患者2年生存率。结果观察组患治疗有效率高于对照组,P<0.05;治疗前,两组患者CEA及CA 125水平相当,P>0.05,治疗后均改善,观察组优于对照组,P<0.05;观察组患者不良反应与对照组相当,均较低,P>0.05;观察组患者2年生存率高于对照组,P<0.05。结论益气养精法治疗老年肺癌患者效果患者,患者症状改善,不良反应少,安全可靠,且患者2年生存率较高。     

Outcomes after neoadjuvant or adjuvant chemotherapy for cT2-4N0-1 non–small cell lung cancer: A propensity-matched analysis

Objective

Comparative survival between neoadjuvant chemotherapy and adjuvant chemotherapy for patients with cT2-4N0-1M0 non–small cell lung cancer has not been extensively studied.

Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study

IntroductionPredicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic response effectiveness. In this study, we aimed to investigate whether predictive information for pCR could be detected from WSIs.Materials and methodsWe retrospectively collected data from four cohorts of 874 patients diagnosed with biopsy-proven breast cancer. A deep learning pathological model (DLPM) was constructed to predict pCR using biopsy WSIs in the primary cohort, and it was then validated in three external cohorts. The DLPM could generate a deep learning pathological score (DLPs) for each patient; stromal tumor-infiltrating lymphocytes (TILs) were selected for comparison with DLPs.ResultsThe WSI feature-based DLPM showed good predictive performance with the highest area under the curve (AUC) of 0.72 among the cohorts. Alternatively, the combination of the DLPM and clinical characteristics offered a better prediction performance (AUC >0.70) in all cohorts. We also evaluated the performance of DLPM in three different breast subtypes with the best prediction for the triple-negative breast cancer (TNBC) subtype (AUC: 0.73). Moreover, DLPM combined with clinical characteristics and stromal TILs achieved the highest AUC in the primary cohort (AUC: 0.82) and validation cohort 1 (AUC: 0.80).ConclusionOur study suggested that WSIs integrated with deep learning could potentially predict pCR to NAC in breast cancer. The predictive performance will be improved by combining clinical characteristics. DLPs from DLPM can provide more information compared to stromal TILs for pCR prediction.     

Factors of the evolution of fatigue dimensions in patients with breast cancer during the 2 years after surgery

Women with breast cancer are increasingly being cured of the disease but fatigue remains the most frequently reported symptom. The aims of our study were to identify distinct trajectories in four fatigue dimensions during 2 years after breast cancer surgery and to explore the demographic, clinical and personality characteristics associated with these profiles. We included women from the prospective longitudinal multicenter FATSEIN cohort in France. They completed the Multidimensional Fatigue Inventory for nine follow-ups over 24 months after surgery. A group-based trajectory model identified distinct trajectories in each fatigue dimension. Multinomial logistic regression determined the factors associated with each profile. From the 459 women followed, 3–5 fatigue trajectories were revealed in each fatigue dimension, from its absence to its severest degree. In our multivariate analysis, the risk of severe fatigue was decreased in all dimensions by a high quality of life before surgery (measured by the European Organization for Research and Treatment of Cancer 30-item QoL questionnaire; e.g., for general and physical fatigue: OR = 0.93, 95% CI 0.91, 0.96), especially a high physical and emotional functions for general and physical fatigue, and a high cognitive function for mental fatigue. Both severe mental fatigue and severely reduced motivation worsened with low optimism before surgery (e.g., for mental fatigue: OR = 0.93, 95% CI 0.89, 0.97). Severely reduced activities increased by having chemotherapy (OR = 9.41, 95% CI 2.28, 38.79). Targeting women at risk for severe fatigue can provide early preventive and curative treatment and appropriate psychological support.