4.6 Article Proceedings Paper

The Impact of Center Volume on Survival in Lung Transplantation: An Analysis of More Than 10,000 Cases

Journal

ANNALS OF THORACIC SURGERY
Volume 88, Issue 4, Pages 1062-1070

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.athoracsur.2009.06.005

Keywords

-

Funding

  1. NIDDK NIH HHS [2T32DK007713-12 ESW] Funding Source: Medline
  2. PHS HHS [234-2005-370011C] Funding Source: Medline

Ask authors/readers for more resources

Background. Whether center volume influences outcomes in lung transplantation is unknown. We reviewed United Network for Organ Sharing data to examine the effect of center volume on short-term mortality. Methods. We reviewed United Network for Organ Sharing data (1998 through 2007) to identify 10,496 first-time adult lung transplantation recipients at 79 centers. Centers were stratified by quartiles of mean annual volume. Risk of 30-day mortality and 1- and 5-year mortality (censored for 30-day death) were assessed by multivariable Cox proportional hazards regression. Results. Mean center volume ranged from less than 1 to 58.2 (median, 9.4 cases/year; volume quartiles: 0 to 2.1, 2.2 to 9.4, 9.5 to 19.9, and 20 to 58.2 cases). Each 1 case/year decrease led to a 2% increase in 30-day mortality (hazard ratio, 1.02; 95% confidence interval, 1.01 to 1.02; p < 0.001). Centers of lowest quartile (performing <= 2.1 lung transplantations/year) had a 30-day cumulative mortality of 9.6% or 89% increase in the risk of death (hazard ratio, 1.89; 95% confidence interval, 1.01 to 3.44; p = 0.05) compared with the highest quartile centers despite fewer idiopathic pulmonary fibrosis patients (15.6% versus 25.8%; p < 0.001) and younger age (40.9 versus 51.5 years; p < 0.001). Low-volume centers had double the risk of 30-day censored 1-year mortality (hazard ratio, 1.95; 95% confidence interval, 1.30 to 2.92; p = 0.001). High-volume centers (>= 20 lung transplantations/year) had the lowest 30-day mortality (4.1%). Conclusions. We provide an initial examination of the relationship of volume and lung allocation score to outcomes for lung transplantation. Low center volume is associated with increased short-term and cumulative mortality despite fewer idiopathic pulmonary fibrosis patients and younger patients. (Ann Thorac Surg 2009;88:1062-70) (C) 2009 by The Society of Thoracic Surgeons

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Surgery

Associations between preoperative risks of postoperative complications: Results of an analysis of 4.8 Million ACS-NSQIP patients

Helen J. Madsen, Robert A. Meguid, Michael R. Bronsert, Adam R. Dyas, Kathryn L. Colborn, Anne Lambert-Kerzner, William G. Henderson

Summary: This study examined the relationships between predicted risks of postoperative complications. The results showed strong correlations between high-risk patients and specific complications, and high-risk patients tended to have more comorbidities and actual adverse outcomes. Therefore, interventions aimed at reducing risks could be targeted at high-risk patients.

AMERICAN JOURNAL OF SURGERY (2022)

Article Surgery

Using the Surgical Risk Preoperative Assessment System to Define the High Risk Surgical Patient

Adam R. Dyas, Michael R. Bronsert, Robert A. Meguid, Kathryn L. Colborn, Anne Lambert-Kerzner, Karl E. Hammermeister, Paul D. Rozeboom, Catherine G. Velopulos, William G. Henderson

Summary: The study analyzed data from 2009-2018 using the SURPAS system to define high risk surgical patients, with results showing cutoff points and proportions identified through Hosmer-Lemeshow plots and Youden index. Certain specialties had more high risk patients, indicating the potential benefit of using the SURPAS system to identify high risk surgical populations.

JOURNAL OF SURGICAL RESEARCH (2022)

Article Surgery

Development and validation of a prediction model for conversion of outpatient to inpatient surgery

Adam R. Dyas, William G. Henderson, Helen J. Madsen, Michael R. Bronsert, Kathryn L. Colborn, Anne Lambert-Kerzner, Robert C. McIntyre, Robert A. Meguid

Summary: This study aimed to develop a prediction model to estimate the risk of conversion from outpatient surgery to inpatient hospitalization. The Surgical Risk Preoperative Assessment System accurately predicted a patient's risk of unplanned outpatient-to-inpatient conversion.

SURGERY (2022)

Article Surgery

Development and validation of a model for surveillance of postoperative bleeding complications using structured electronic health records data

Adam R. Dyas, Yaxu Zhuang, Robert A. Meguid, William G. Henderson, Helen J. Madsen, Michael R. Bronsert, Kathryn L. Colborn

Summary: This study developed and validated a detection model for postoperative bleeding complications using structured electronic health records data. The model demonstrated high accuracy and can be used to augment manual chart review for surveillance and reporting of perioperative bleeding complications.

SURGERY (2022)

Article Surgery

Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning

Kathryn L. Colborn, Yaxu Zhuang, Adam R. Dyas, William G. Henderson, Helen J. Madsen, Michael R. Bronsert, Michael E. Matheny, Anne Lambert-Kerzner, Quintin W. O. Myers, Robert A. Meguid

Summary: Using structured electronic health records data and simple linear regression models, surveillance and reporting of postoperative infection rates can be implemented for all operations with high accuracy.

SURGERY (2023)

Article Surgery

Preoperative Prediction of Unplanned Reoperation in a Broad Surgical Population

Emily M. Mason, William G. Henderson, Michael R. Bronsert, Kathryn L. Colborn, Adam R. Dyas, Helen J. Madsen, Anne Lambert-Kerzner, Robert A. Meguid

Summary: This study retrospectively analyzed the American College of Surgeons' National Surgical Quality Improvement Program database and found that the Surgical Risk Preoperative Assessment System (SURPAS) model accurately predicted unplanned reoperation and was internally validated. Unplanned reoperation can be integrated into the SURPAS tool to provide preoperative risk assessment, which could aid patient risk education.

JOURNAL OF SURGICAL RESEARCH (2023)

Article Surgery

Preoperative risk factors and postoperative complications associated with mortality after outpatient surgery in a broad surgical population: an analysis of 2.8 million ACS-NSQIP patients

Catherine Alder, Michael R. Bronsert, Robert A. Meguid, Christina M. Stuart, Adam R. Dyas, Kathryn L. Colborn, William G. Henderson

Summary: This study investigated the risk factors for 30-day mortality after outpatient surgery and found that age, cancer, and functional health status were associated with an increased risk. Postoperative complications had a greater impact on mortality than preoperative variables, and there was a higher risk of death for patients over 80 years of age. We recommend considering inpatient surgery for patients aged over 80 with cancer, poor functional health status, or a higher ASA class.

SURGERY (2023)

Article Surgery

The association between obesity and postoperative outcomes in a broad surgical population: A 7-year American College of Surgeons National Surgical Quality Improvement analysis

Helen J. Madsen, Riley A. Gillette, Kathryn L. Colborn, William G. Henderson, Adam R. Dyas, Michael R. Bronsert, Anne Lambert-Kerzner, Robert A. Meguid

Summary: This study examined the association between obesity and surgical outcomes using a large sample size. The results showed that obese patients were more likely to develop infection, venous thromboembolism, and renal complications during surgery.

SURGERY (2023)

Article Surgery

A comparison of the National Surgical Quality Improvement Program and the Society of Thoracic Surgery Cardiac Surgery preoperative risk models: a cohort study

Adam R. Dyas, Michael R. Bronsert, William G. Henderson, Christina M. Stuart, Nisha Pradhan, Kathryn L. Colborn, Joseph C. Cleveland Jr, Robert A. Meguid

Summary: In this study, the authors developed preoperative prediction models and estimates of postoperative outcomes for cardiac surgery using the ACS-NSQIP dataset. The results showed that the ACS-NSQIP models were almost as accurate as the STS-ACSD models.

INTERNATIONAL JOURNAL OF SURGERY (2023)

Article Surgery

Formative evaluation of the development and implementation of the automated surveillance of postoperative infections tool

Quintin W. O. Myers, Anne Lambert-Kerzner, Kathryn L. Colborn, Adam R. Dyas, William G. Henderson, Robert A. Meguid

Summary: This study aimed to assess surgeons' opinions of the Automated Surveillance of Postoperative Infections. The results showed that surgeons perceived the system as valuable for improving clinical outcomes and identified environmental factors and challenges for its implementation.

SURGERY (2023)

Article Surgery

Development and validation of a multivariable preoperative prediction model for postoperative length of stay in a broad inpatient surgical population

Emily M. Mason, William G. Henderson, Michael R. Bronsert, Kathryn L. Colborn, Adam R. Dyas, Anne Lambert-Kerzner, Robert A. Meguid

Summary: This study aimed to assess the predictive ability of the Surgical Risk Preoperative Assessment System for postoperative length of stay. The results showed that the system variables could accurately predict postoperative length of stay up to 30 days, and the accuracy was comparable to a model using all variables.

SURGERY (2023)

Article Surgery

The value of the Surgical Risk Preoperative Assessment System (SURPAS) in preoperative consultation for elective surgery: a pilot study

Michael R. Bronsert, Anne Lambert-Kerzner, William G. Henderson, Karl E. Hammermeister, Chisom Atuanya, Davis M. Aasen, Abhinav B. Singh, Robert A. Meguid

PATIENT SAFETY IN SURGERY (2020)

Article Health Care Sciences & Services

The Surgical Risk Preoperative Assessment System: Determining which predictor variables can be automatically obtained from the electronic health record

Robert A. Meguid, Michael R. Bronsert, Karl E. Hammermeister, David P. Kao, Anne Lambert-Kerzner, Jacob A. Sinex, Jody M. Myers, William G. Henderson

JOURNAL OF PATIENT SAFETY AND RISK MANAGEMENT (2019)

Article Surgery

Refining the predictive variables in the Surgical Risk Preoperative Assessment System (SURPAS): a descriptive analysis

William G. Henderson, Michael R. Bronsert, Karl E. Hammermeister, Anne Lambert-Kerzner, Robert A. Meguid

PATIENT SAFETY IN SURGERY (2019)

Article Surgery

Assessment of attitudes towards future implementation of the Surgical Risk Preoperative Assessment System (SURPAS) tool: a pilot survey among patients, surgeons, and hospital administrators

Anne Lambert-Kerzner, Kelsey Lynett Ford, Karl E. Hammermeister, William G. Henderson, Michael R. Bronsert, Robert A. Meguid

PATIENT SAFETY IN SURGERY (2018)

Article Cardiac & Cardiovascular Systems

Endoscopic Aortic Valve Replacement: Initial Outcomes of Isolated and Concomitant Surgery

Soh Hosoba, Toshiaki Ito, Makoto Mori, Riku Kato, Koh Kajiyama, Shogo Maeda, Yuji Nakai, Yoshihiro Morishita

Summary: This study describes the approach and perioperative outcomes of totally endoscopic isolated and concomitant surgical aortic valve replacement (AVR) using various valve types. The results demonstrate that endoscopic AVR can safely address concomitant valve diseases.

ANNALS OF THORACIC SURGERY (2024)