Nationwide database analysis of one-year readmission rates after open surgical or thoracic endovascular repair of Stanford Type B aortic dissection

Treffalls, John A.; Sylvester, Christopher B.; Parikh, Umang; Ryan, Christopher T.; Zhang, Qianzi; Rosengart, Todd K.; Wall, Matthew J.; Coselli, Joseph S.; Chatterjee, Subhasis; Ghanta, Ravi K.

doi:10.1016/j.xjon.2022.07.002

Cited by 9 publications

(4 citation statements)

References 32 publications

(39 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is a paucity of data on readmission following ATAAD. The few studies on this topic largely address readmission after type B aortic dissection [7,[9][10][11]. The present study presents a large patient population to help identify predictors of 30-day readmission in ATAAD using a nationwide database.…”

Section: Discussionmentioning

confidence: 99%

“…This metric has been receiving greater attention since the launch of the Hospital Readmissions Reduction Program (HRRP) which was designed to curb the rising readmission rates that have a tremendous economic and clinical impact. Cardiovascular procedures have a reported 30-day readmission rate of approximately 29% [7]. In the context of aortic surgery, only a few studies have assessed readmissions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Risk Score to Predict Thirty-Day Readmissions after Acute Type A Aortic Dissections

Ahmad,

Aranda-Michel,

Serna-Gallegos

et al. 2023

HSF

View full text Add to dashboard Cite

Background: Readmissions following acute type A aortic dissections (ATAAD) are associated with potentially worse clinical outcomes and increased hospital costs. Predicting which patients are at risk for readmission may guide patient management prior to discharge. Methods: The National Readmissions Database was utilized to identify patients treated for ATAAD between 2010 and 2018. Univariate mixed effects logistic regression was used to assess each variable. Variables were assigned risk points based off the bootstrapped (bias-corrected) odds ratio of the final variable model according to the Johnson's scoring system. A mixed effect logistic regression was run on the risk score (sum of risk points) and 30-day readmission. Calibration plots and predicted readmission curves were generated for model assessment. Results: A total of 30,727 type A aortic dissections were identified. The majority of ATAAD (66%) were in men with a median age of 61 years and 30-day readmission rate of 19.4%. The risk scores ranging from –1 to 14 mapped to readmission probabilities between 3.5% and 29% for ATAAD. The predictive model showed good calibration and receiver operator characteristics with an area under the curve (AUC) of 0.81. Being a resident of the hospital state (OR: 2.01 [1.64, 2.47], p < 0.001) was the highest contributor to readmissions followed by chronic kidney disease (1.35 [1.16, 1.56], p = 0), discharge to a short-term facility (1.31 [1.09, 1.57], p = 0.003), and developing a myocardial infarction (1.20 [1.00, 1.45], p = 0.048). Conclusions: The readmission model had good predictive capability given by the large AUC. Being a resident in the State of the index admission was the most significant contributor to readmission.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Risk Score to Predict Thirty-Day Readmissions after Acute Type A Aortic Dissections

Ahmad,

Aranda-Michel,

Serna-Gallegos

et al. 2023

HSF

View full text Add to dashboard Cite

show abstract

“…Additionally, in-hospital deaths were excluded from calculations other than inpatient mortality, as previously described. 18 , 19 A sensitivity analysis of only patients who were receiving preoperative oral anticoagulation therapy was performed.…”

Section: Methodsmentioning

confidence: 99%

“…Causes for readmission were determined by the principal cause of readmission listed for each diagnosis (ICD-10-CM codes) and were grouped into clinically relevant categories as previously described. 19 In-hospital mortality and LOS were evaluated for each discharge record. Hospital cost was calculated from total charges using the cost-to-charge ratio, a method established via the Health Care Cost and Utilization Project.…”

Section: Methodsmentioning

confidence: 99%

Influence of concomitant ablation of nonparoxysmal atrial fibrillation during coronary artery bypass grafting on mortality and readmissions

Treffalls,

Hogan,

Brlecic

et al. 2023

JTCVS Open

View full text Add to dashboard Cite

Readmission after thoracic endovascular aortic repair following blunt thoracic aortic injury

Romijn,

Proaño-Zamudio,

Rastogi

et al. 2024

Eur J Trauma Emerg Surg

View full text Add to dashboard Cite

Nationwide database analysis of one-year readmission rates after open surgical or thoracic endovascular repair of Stanford Type B aortic dissection

Cited by 9 publications

References 32 publications

A Novel Risk Score to Predict Thirty-Day Readmissions after Acute Type A Aortic Dissections

A Novel Risk Score to Predict Thirty-Day Readmissions after Acute Type A Aortic Dissections

Influence of concomitant ablation of nonparoxysmal atrial fibrillation during coronary artery bypass grafting on mortality and readmissions

Readmission after thoracic endovascular aortic repair following blunt thoracic aortic injury

Contact Info

Product

Resources

About