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1.
Andrea Kahlberg Alessandro Grandi Diletta Loschi Frank Vermassen Nathalie Moreels Nabil Chakfé Germano Melissano Roberto Chiesa 《Journal of vascular surgery》2019,69(6):1941-1951.e1
ObjectiveThe objective of this study was to collect and critically analyze the current evidence on the modalities and results of treatment of descending thoracic aortic surgical graft (SG) and endograft (EG) infection, which represents a rare but dramatic complication after both surgical and endovascular aortic repair.MethodsA comprehensive electronic health database search (PubMed/MEDLINE, Scopus, Google Scholar, and the Cochrane Library) identified all articles that were published up to October 2017 reporting on thoracic aortic SG or EG infection. Observational studies, multicenter reports, single-center series and case reports, case-control studies, and guidelines were considered eligible if reporting specific results of treatment of descending thoracic aortic SG or EG infection. Comparisons of patients presenting with SG or EG infection and between invasive and conservative treatment were performed. Odds ratio (OR) meta-analyses were run when comparative data were available.ResultsForty-three studies reporting on 233 patients with infected SG (49) or EG (184) were included. Four were multicenter studies including 107 patients, all with EG infection, associated with a fistula in 91% of cases, with a reported overall survival at 2 years of 16% to 39%. The remaining 39 single-center studies included 49 patients with SG infection and 77 with EG infection. Association with aortoesophageal fistula was significantly more common with EG (60% vs 31%; P = .01). In addition, time interval from index procedure to infection was significantly shorter with EG (17 ± 21 months vs 32 ± 61 months; P = .03). Meta-analysis showed a trend of increased 1-year mortality in patients with SG infection compared with EG infection (pooled OR, 3.6; 95% confidence interval, 0.9-14.7; P = .073). Surgical management with infected graft explantation was associated with a trend toward lower 1-year mortality compared with graft preservation (pooled OR, 0.3; 95% confidence interval, 0.1-1.0; P = .056).ConclusionsThoracic aortic EG infection is likely to occur more frequently in association with aortoesophageal fistulas and in a shorter time compared with SG infection. Survival is poor in both groups, especially in patients with SG infection. Surgical treatment with graft explantation seems to be the preferable choice in fit patients. 相似文献
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A. Montalto V. Piazza F. Albi R. Gherli C. Contento A. Palermo F. Musumeci 《Transplantation proceedings》2019,51(1):206-209
Background
Pump speed optimization in patients implanted with a ventricular assist device represents a major challenge during the follow-up period. We present our findings on whether combined invasive hemodynamic ramp tests and cardiopulmonary exercise testing (CPX) can help optimize patient management.Methods
Eighteen patients implanted with a HeartMate 3 (HM3) device underwent ramp tests with right heart catheterization (including central venous pressure [CVP], pulmonary artery pressure, pulmonary capillary wedge pressure [PCWP], and blood pressure) and echocardiography. Data were recorded at up to 4 speed settings. Speed changes were in steps of 200 revolutions/min (rpm). Evaluation of functional capacity by CPX was conducted according to the modified Bruce protocol.Results
Only 30% of patients had normal PCWPs at their original rpm settings. In going from lowest to highest speeds, cardiac output improved by 0.25 ± 0.35 L/min/step (total change, 1.28 ± 0.3 L/min), and PCWP decreased by 1.9 ± 0.73 mm Hg/step (total change, 6 ± 1.6 mm Hg). CVP and systolic blood pressure did not change significantly with rpm. The rpm assessment was adjusted based on test results to achieve CVPs and PCWPs as close to normal limits as possible, which was feasible in all patients. On CPX, all patients demonstrated good performance (peak VO2, 16.8 ± 3.5 mL/kg/min).Conclusion
Hemodynamic ramp testing provides an objective means of optimizing rpm, and has the potential to provide good exercise tolerance. 相似文献3.
Alden H. Harken 《The Journal of thoracic and cardiovascular surgery》2019,157(1):257-258
4.
Stefano A. Bini Romil F. Shah Ilya Bendich Joseph T. Patterson Kevin M. Hwang Musa B. Zaid 《The Journal of arthroplasty》2019,34(10):2242-2247
BackgroundTracking patient-generated health data (PGHD) following total joint arthroplasty (TJA) may enable data-driven early intervention to improve clinical results. We aim to demonstrate the feasibility of combining machine learning (ML) with PGHD in TJA to predict patient-reported outcome measures (PROMs).MethodsTwenty-two TJA patients were recruited for this pilot study. Three activity trackers collected 35 features from 4 weeks before to 6 weeks following surgery. PROMs were collected at both endpoints (Hip and Knee Disability and Osteoarthritis Outcome Score, Knee Osteoarthritis Outcome Score, and Veterans RAND 12-Item Health Survey Physical Component Score). We used ML to identify features with the highest correlation with PROMs. The algorithm trained on a subset of patients and used 3 feature sets (A, B, and C) to group the rest into one of the 3 PROM clusters.ResultsFifteen patients completed the study and collected 3 million data points. Three sets of features with the highest R2 values relative to PROMs were selected (A, B and C). Data collected through the 11th day had the highest predictive value. The ML algorithm grouped patients into 3 clusters predictive of 6-week PROM results, yielding total sum of squares values ranging from 3.86 (A) to 1.86 (C).ConclusionThis small but critical proof-of-concept study demonstrates that ML can be used in combination with PGHD to predict 6-week PROM data as early as 11 days following TJA surgery. Further study is needed to confirm these findings and their clinical value. 相似文献
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Rana R. McKay Peter Vu Laurence K. Albiges Xun Lin Ronit Simantov Jennifer S. Temel Toni K. Choueiri 《Clinical genitourinary cancer》2019,17(6):443-450.e1
BackgroundThe relationship between weight change during treatment and survival remains poorly characterized in patients with metastatic renal cell carcinoma (mRCC).Patients and MethodsIn this retrospective analysis we included 3311 patients with mRCC treated in phase II/III first-line or second-line targeted therapy clinical trials and assessed the effect of weight change on overall survival (OS), progression-free survival (PFS), and objective response rate (ORR) at 6 and 12 weeks from treatment initiation. Weight change was defined as weight loss (≥5% reduction), weight gain (≥2% increase), or stable weight from baseline. Survival analyses were performed using the Kaplan–Meier method and adjusted for known prognostic factors using Cox regression multivariable analysis.ResultsOverall, 1916 (58%) had stable weight, 936 (28%) had weight loss, and 459 (14%) had weight gain at 12 weeks. Patients with weight loss at 12 weeks had inferior OS compared with those with stable weight (hazard ratio [HR], 1.494; 95% confidence interval [CI], 1.322-1.688; P < .0001; median OS 18.7 vs. 26.9 months), and shorter PFS (HR, 1.315; 95% CI, 1.189-1.455; P < .0001; median PFS, 7.2 vs. 10.1 months). The ORRs for patients with weight loss, stable weight, and weight gain at 12 weeks were 23.4% (n = 219/936), 32.1% (n = 615/1916), and 35.9% (n = 165/459), respectively (adjusted odds ratio, 0.715; P = .03). Findings were consistent at 6 weeks. Adverse events were similar between groups.ConclusionWe showed that mRCC patients who experience weight loss during treatment have worse outcomes compared with patients with stable weight at 6 and 12 weeks of treatment. Weight loss at 6 weeks from treatment initiation might be an early clinical biomarker of worse survival and might provide prognostic utility. 相似文献
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