24 research outputs found

    Predicting a Prolonged Air Leak After Video-Assisted Thoracic Surgery, Is It Really Possible?

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    Validation of predictive risk models for prolonged air leak (PAL) is essential to understand if they can help to reduce its incidence and complications. This study aimed to evaluate both the clinical and statistical performances of 4 existing models. We selected 4 predictive PAL risk models based on their scientific relevance. We referred to these models as Chicago, Bordeaux, Leeds and Pittsburgh model, respectively, according to the affiliation place of the first author. These predicting risk models were retrospectively applied to patients recorded on the second edition of the Italian Video-Assisted Thoracoscopic Surgery Group registry. Predictions for each patient were calculated based on the logistic regression coefficient values provided in the original manuscripts. All models were tested for their overall performance, discrimination, and calibration. We recalibrated the original models with the re-estimation of the model intercept and slope. We used curve decision analysis to describe and compare the clinical effects of the studied risk models. Better statistical metrics characterize the models developed on larger populations (Chicago and Bordeaux models). However, no model has a valid benefit for threshold probability greater than 0.30. The Net benefit of the most performing model (Bordeaux model) at the threshold probability of 0.11 is 23 of 1000 patients, burdened by 333 false positive cases. One of 1000 is the Net benefit at the threshold probability of 0.3. The use of PAL scores based on preoperative predictive factors cannot be currently used in a clinical setting because of a high false positive rate and low positive predictive value

    EARLY AND MID-TERM OUTCOMES OF EVAR WITH AN ULTRA LOW-PROFILE ENDOGRAFT FROM THE TRIVENETO INCRAFT REGISTRY

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    To evaluate early and mid-term outcomes of Incraft (Cordis Corporation, Bridgewater, NJ) ultra-low-profile endograft analysing data from the Triveneto Incraft Registry (TIR)

    Predicting a Prolonged Air Leak After Video-Assisted Thoracic Surgery, Is It Really Possible?

    No full text
    : Validation of predictive risk models for prolonged air leak (PAL) is essential to understand if they can help to reduce its incidence and complications. This study aimed to evaluate both the clinical and statistical performances of 4 existing models. We selected 4 predictive PAL risk models based on their scientific relevance. We referred to these models as Chicago, Bordeaux, Leeds and Pittsburgh model, respectively, according to the affiliation place of the first author. These predicting risk models were retrospectively applied to patients recorded on the second edition of the Italian Video-Assisted Thoracoscopic Surgery Group registry. Predictions for each patient were calculated based on the logistic regression coefficient values provided in the original manuscripts. All models were tested for their overall performance, discrimination, and calibration. We recalibrated the original models with the re-estimation of the model intercept and slope. We used curve decision analysis to describe and compare the clinical effects of the studied risk models. Better statistical metrics characterize the models developed on larger populations (Chicago and Bordeaux models). However, no model has a valid benefit for threshold probability greater than 0.30. The Net benefit of the most performing model (Bordeaux model) at the threshold probability of 0.11 is 23 of 1000 patients, burdened by 333 false positive cases. One of 1000 is the Net benefit at the threshold probability of 0.3. The use of PAL scores based on preoperative predictive factors cannot be currently used in a clinical setting because of a high false positive rate and low positive predictive value

    Surgery for T4 lung cancer invading the thoracic aorta. Do we push the limits?

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    Background: Few investigators have described en bloc resection of non-small cell lung cancer (NSCLC) invading the aorta. Aim of Study: Analysis of outcome and prognostic factors for en bloc resections of NSCLC invading the aorta. Methods: Thirty-five patients (27 males, 8 females; mean age 63 ± 8.6 years) were operated between 1994 and 2015 in four European Centers. Histology: 12 (34.3%) squamous cell carcinoma, and 6 (17.1%) undifferentiated/large cell carcinoma. The site of aortic infiltration was the descending thoracic aorta in 24 (68.6%) patients, the aortic arch in 9 (25.7%), and the aortic arch and supraortic trunks in 2 (5.7%). Results: Lung resection consisted of pneumonectomy in 19 (54.3%) patients and lobectomy in 16 (45.7%). Aortic resection management was undertaken by endograft positioning (37.1%), subadventitial dissection (37.1%), cardiopulmonary/aorto-aortic bypass (17.2%), and direct clamping (8.6%). A tubular graft replacement was carried out in five cases, a synthetic patch repair in 6. Mortality was 2.9%, morbidity 37.1%. Patients undergoing pneumonectomy had a significantly higher morbidity rate compared with lobectomy (52% vs 18.7%; P = 0.003), although patients managed with aortic endografting had a lower complication rate. Median overall and disease-free survival rates were 31.3 and 22.2 months, respectively. Gender and site of aortic infiltration were independent prognostic factors. Conclusions: Resection of NSCLC combined with an infiltrated aorta is a challenging procedure that can be performed with reasonable morbidity and mortality in highly selected patients

    A Delphi Consensus report from the "Prolonged Air Leak: A Survey" study group on prevention and management of postoperative air leaks after minimally invasive anatomical resections

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    OBJECTIVES This study reports the results of an international expert consensus process evaluating the assessment of intraoperative air leaks (IAL) and treatment of postoperative prolonged air leaks (PAL) utilizing a Delphi process, with the aim of helping standardization and improving practice. METHODS A panel of 45 questions was developed and submitted to an international working group of experts in minimally invasive lung cancer surgery. Modified Delphi methodology was used to review responses, including 3 rounds of voting. The consensus was defined a priori as >50% agreement among the experts. Clinical practice standards were graded as recommended or highly recommended if 50-74% or >75% of the experts reached an agreement, respectively. RESULTS A total of 32 experts from 18 countries completed the questionnaires in all 3 rounds. Respondents agreed that PAL are defined as >5 days and that current risk models are rarely used. The consensus was reached in 33/45 issues (73.3%). IAL were classified as mild (400 ml/min; 74%). If mild IAL are detected, 68% do not treat; if moderate, consensus was not; if severe, 90% favoured treatment. CONCLUSIONS This expert consensus working group reached an agreement on the majority of issues regarding the detection and management of IAL and PAL. In the absence of prospective, randomized evidence supporting most of these clinical decisions, this document may serve as a guideline to reduce practice variation
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