Novel method to link surgical trainee performance data to patient outcomes

Author(s):  
Angela E. Thelen ◽  
Daniel E. Kendrick ◽  
Xilin Chen ◽  
John Luckoski ◽  
Tanvi Gupta ◽  
...  
2019 ◽  
Vol 19 (9) ◽  
pp. S63
Author(s):  
Srikanth Divi ◽  
Matthew S. Galetta ◽  
Dhruv K. Goyal ◽  
Taolin Fang ◽  
Kristen Nicholson ◽  
...  

2001 ◽  
Vol 120 (5) ◽  
pp. A734-A734
Author(s):  
L RABENECK ◽  
K WRISTERS ◽  
E AMBRIZ

10.14444/8033 ◽  
2021 ◽  
pp. 8033
Author(s):  
Srikanth N. Divi ◽  
Dhruv Kc Goyal ◽  
Eve Hoffman ◽  
William K. Conaway ◽  
Matt Galtta ◽  
...  

Surgery ◽  
2000 ◽  
Vol 128 (2) ◽  
pp. 286-292 ◽  
Author(s):  
Matthew M. Hutter ◽  
Robert E. Glasgow ◽  
Sean J. Mulvihill

Author(s):  
Samuel Sokota ◽  
Ryan D'Orazio ◽  
Khurram Javed ◽  
Humza Haider ◽  
Russell Greiner

Accurate models of patient survival probabilities provide important information to clinicians prescribing care for life-threatening and terminal ailments. A recently developed class of models -- known as individual survival distributions (ISDs) -- produces patient-specific survival functions that offer greater descriptive power of patient outcomes than was previously possible. Unfortunately, at the time of writing, ISD models almost universally lack uncertainty quantification. In this paper we demonstrate that an existing method for estimating simultaneous prediction intervals from samples can easily be adapted for patient-specific survival curve analysis and yields accurate results. Furthermore, we introduce both a modification to the existing method and a novel method for estimating simultaneous prediction intervals and show that they offer competitive performance. It is worth emphasizing that these methods are not limited to survival analysis and can be applied in any context in which sampling the distribution of interest is tractable. Code is available at https://github.com/ssokota/spie.


2001 ◽  
Vol 120 (5) ◽  
pp. A734
Author(s):  
Linda Rabeneck ◽  
Kimberly Wristers ◽  
Eunice Ambriz

2019 ◽  
Vol 269 (1) ◽  
pp. 79-82
Author(s):  
Mitchell G. Goldenberg ◽  
Teodor P. Grantcharov

2014 ◽  
Vol 60 (12) ◽  
pp. 1519-1523 ◽  
Author(s):  
Jeffrey W Meeusen ◽  
Alan J Lueke ◽  
Allan S Jaffe ◽  
Amy K Saenger

Abstract BACKGROUND Aggressive LDL cholesterol (LDL-C)-lowering strategies are recommended for primary and secondary prevention of cardiovascular events. A newly derived equation for LDL-C estimation was recently published that addressed limitations in the commonly used Friedewald LDL-C calculation method. The novel method was reported to classify patients with superior concordance to measured LDL-C compared to the Friedewald method, particularly in patients with LDL-C <70 mg/dL. METHODS We evaluated the performance of the novel method within an independent cohort of 23 055 patients with LDL-C measured by the gold standard β-quantification reference method. RESULTS Overall Friedewald underestimated and the novel method overestimated measured LDL-C. Both estimations significantly deviated from the reference method when LDL-C was <70 mg/dL. Overall, the Friedewald and novel calculations correctly classified 77% and 78% of patients, respectively. The largest discrepancy in classification was observed in individuals with measured LDL-C <70 mg/dL. For this group the novel calculation would reclassify 8.7% of patients as >70 mg/dL compared to the Friedewald equation. CONCLUSIONS We compared both novel and Friedewald estimated LDL-C against the LDL-C reference method; in contrast, the prior study relied on validation of a subset of samples by β-quantification to allow the use of the vertical autoprofile method for LDL-C measurement. We conclude that the novel method has some benefits but it is unclear whether improvements over the Friedewald calculation are substantive enough to justify making the change in routine clinical practice and to improve patient outcomes.


Author(s):  
M.A. Gregory ◽  
G.P. Hadley

The insertion of implanted venous access systems for children undergoing prolonged courses of chemotherapy has become a common procedure in pediatric surgical oncology. While not permanently implanted, the devices are expected to remain functional until cure of the primary disease is assured. Despite careful patient selection and standardised insertion and access techniques, some devices fail. The most commonly encountered problems are colonisation of the device with bacteria and catheter occlusion. Both of these difficulties relate to the development of a biofilm within the port and catheter. The morphology and evolution of biofilms in indwelling vascular catheters is the subject of ongoing investigation. To date, however, such investigations have been confined to the examination of fragments of biofilm scraped or sonicated from sections of catheter. This report describes a novel method for the extraction of intact biofilms from indwelling catheters.15 children with Wilm’s tumour and who had received venous implants were studied. Catheters were removed because of infection (n=6) or electively at the end of chemotherapy.


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