Background We have shown previously that technical performance score (TPS) is strongly associated with early mortality and major postoperative adverse events in a diverse group of patients. We now ...report evaluation of the validity of TPS in predicting late outcomes in the same group of patients. Methods Patients who underwent surgery between June 1, 2005 and June 30, 2006 were included. The TPS were assigned based on discharge echocardiograms and certain clinical criteria as previously described. Follow-up data for up to 4 years were retrospectively collected. Cox proportional hazards models were used for analysis. Results A total of 679 patients were included in the analysis. One hundred twenty-three (18%) were neonates, 213 (31%) infants, 291 (435) children, and 52 (8%) adults. Four hundred ninety-one (72%) were in low-risk adjustment in congenital heart surgery (RACHS; 1 to 3), 109 (16%) in high risk (4 to 6), and 27 (4%) were less than 18 years and could not be assigned a RACHS score. Three hundred thirty-one (48%) had an optimal TPS, 283 (42%) adequate, 61 (9%) inadequate, and 4 (1%) could not be scored. There were 34 (5%) late deaths and 149 (22%) late unplanned reinterventions. By univariate analysis, age, RACHS-1 categories, and TPS were all significantly associated with late reintervention (p < 0.001 for all), while TPS and RACHS-1 were significant factors for mortality ( p < 0.001). On multivariable modeling, inadequate TPS was strongly associated with both late mortality ( p = 0.001; HR hazard ratio 3.8, CI confidence interval 1.7 to 8.4) and late reintervention ( p = 0.002, HR 2.1, CI 1.3 to 3.3) after controlling for RACHS-1 and age. Conclusions The TPS has a strong association with late outcomes across a wide range of age and disease complexity and may serve as a tool to identify patients who are at a higher risk for late reintervention or mortality.
Lung transplantation is the one form of solid-organ transplantation in which there is the option for patients to receive one or two organs. Idiopathic pulmonary fibrosis (IPF) candidates can be ...accommodated by either procedure but the decision about these two options remains controversial. Therefore, we sought to determine whether IPF patients listed for bilateral lung transplantation only had longer wait times and higher mortality on the waiting list than those listed for single lungs only. Patients with chronic obstructive pulmonary disease (COPD) were also analyzed as a comparison group.
This study was a retrospective analysis of the Organ Procurement and Transplantation Network database of patients with IPF and COPD listed for lung transplantation between May 2005 and December 2007. An analysis of wait times and mortality in this era as well as the pre-lung allocation score (pre-LAS) era of 2002 to 2004 was performed.
Of the 1,339 patients with IPF listed for lung transplantation, 31.7% were listed for bilateral lung transplantation only, 41% for single-lung transplantation only and 27.3% for either procedure. Patients listed for the bilateral procedure only were at greater risk of dying on the transplant list (p < 0.003), and were less likely to receive a lung transplant (p < 0.012). No difference in outcomes was seen in the COPD patients. Comparatively, in the pre-LAS era, wait times and mortality on the list for IPF patients were significantly greater for all forms of transplantation.
There has been a significant improvement in wait times and mortality for IPF patients since the inception of the LAS system. Nonetheless, despite the goal of transplant equity, IPF patients listed for bilateral lung transplantation might have a clinically meaningful increased risk of pre-transplant mortality. The choice of procedures therefore needs to be made with careful consideration of patients' survival both pre- and post-transplantation. Evaluation of transplant outcomes should not only be based on post-transplant survival, but should also account for the impact of the choice of procedure.
Objective The purpose of this study was to capture the preoperative plans of expert hepato-pancreato-biliary (HPB) surgeons with the goal of finding consistent aspects of the preoperative planning ...process. Design HPB surgeons were asked to think aloud when reviewing 4 preoperative computed tomography scans of patients with distal pancreatic tumors. The imaging features they identified and the planned actions they proposed were tabulated. Surgeons viewed the tabulated list of imaging features for each case and rated the relevance of each feature for their subsequent preoperative plan. Average rater intraclass correlation coefficients were calculated for each type of data collected (imaging features detected, planned actions reported, and relevance of each feature) to establish whether the surgeons were consistent with one another in their responses. Average rater intraclass correlation coefficient values greater than 0.7 were considered indicative of consistency. Setting Division of General Surgery, University of Toronto. Participants HPB surgeons affiliated with the University of Toronto. Results A total of 11 HPB surgeons thought aloud when reviewing 4 computed tomography scans. Surgeons were consistent in the imaging features they detected but inconsistent in the planned actions they reported. Of the HPB surgeons, 8 completed the assessment of feature relevance. For 3 of the 4 cases, the surgeons were consistent in rating the relevance of specific imaging features on their preoperative plans. Conclusion These results suggest that HPB surgeons are consistent in some aspects of the preoperative planning process but not others. The findings further our understanding of the preoperative planning process and will guide future research on the best ways to incorporate the teaching and evaluation of preoperative planning into surgical training.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Abstract Background/objectives Hyperlipasemia is frequently encountered in patients in the intensive care unit (ICU). The degree to which it should be valued in making the diagnosis of acute ...pancreatitis (AP) in critically ill patients remains uncertain. We sought to determine the diagnostic accuracy of hyperlipasemia and the optimal lipase cutoff for diagnosing AP in critically ill patients. Methods Four hundred and seventeen ICU patients with hyperlipasemia, defined as lipase greater than three times the upper limit of normal from 2009 to 2012 were retrospectively identified. A diagnosis of AP was confirmed by the additional presence of either characteristic abdominal pain or cross-sectional imaging. Results The overall positive predictive value (PPV) of hyperlipasemia was 38.1%. Median initial lipase levels were 1164 IU/L in patients with AP and 284.5 IU/L in patients without AP (p < 0.001). The optimal diagnostic lipase cutoff of 532 IU/L correlated with a sensitivity, specificity, negative predictive value and PPV of 77.4%, 78.0%, 84.9%, and 67.0% respectively. The most common primary diagnoses in non-AP patients with elevated lipase included shock, cardiac arrest and malignancy. Conclusions Physicians should maintain caution when interpreting hyperlipasemia in the critically ill due its relatively low PPV. However, a greater lipase cutoff improves its diagnostic value in AP and helps to reduce unnecessary imaging in these patients.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Elbow stiffness is a challenging and common problem faced by upper extremity surgeons. Although functional improvements can be made with both nonsurgical and surgical management strategies, ...physicians must remain vigilant with efforts to prevent stiffness before it starts. Recent advancements in the biology and pathology of elbow contracture have led to improved understanding of this difficult problem, and they may lead to future breakthroughs in the prevention and treatment of elbow stiffness. This article serves as an update to our previous review of elbow stiffness, focusing on recent advancements in the past 5 years, as well as updating our current algorithm for treatment.
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