Sliding doors: sternal dehiscence on stage

Author(s):  
Stefano Lucreziotti ◽  
Simone Persampieri ◽  
Lucia Barbieri ◽  
Stefano Carugo
Keyword(s):  
2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Ehab Nooh ◽  
Colin Griesbach ◽  
Johannes Rösch ◽  
Michael Weyand ◽  
Frank Harig

Abstract Background After sternotomy, the spectrum for sternal osteosynthesis comprises standard wiring and more complex techniques, like titanium plating. The aim of this study is to develop a predictive risk score that evaluates the risk of sternum instability individually. The surgeon may then choose an appropriate sternal osteosynthesis technique that is risk- adjusted as well as cost-effective. Methods Data from 7.173 patients operated via sternotomy for all cardiovascular indications from 2008 until 2017 were retrospectively analyzed. Sternal dehiscence occurred in 2.5% of patients (n = 176). A multivariable analysis model examined pre- and intraoperative factors. A multivariable logistic regression model and a backward elimination based on the Akaike Information Criterion (AIC) a logistic model were selected. Results The model showed good sensitivity and specificity (area under the receiver-operating characteristic curve, AUC: 0.76) and several predictors of sternal instability could be evaluated. Multivariable logistic regression showed the highest Odds Ratios (OR) for reexploration (OR 6.6, confidence interval, CI [4.5–9.5], p < 0.001), obesity (body mass index, BMI > 35 kg/m2) (OR 4.23, [CI 2.4–7.3], p < 0.001), insulin-dependent diabetes mellitus (IDDM) (OR 2.2, CI [1.5–3.2], p = 0.01), smoking (OR 2.03, [CI 1.3–3.08], p = 0.001). After weighting the probability of sternum dehiscence with each factor, a risk score model was proposed scaling from − 1 to 5 points. This resulted in a risk score ranging up to 18 points, with an estimated risk for sternum complication up to 74%. Conclusions A weighted scoring system based on individual risk factors was specifically created to predict sternal dehiscence. High-scoring patients should receive additive closure techniques.


Author(s):  
Raymond Y.B. Seeto ◽  
Mathew G. Sharland ◽  
Kenneth K. Lee ◽  
Michael J. Quinn ◽  
Harvey S. Stern ◽  
...  

2001 ◽  
Vol 16 (2) ◽  
pp. 106-110 ◽  
Author(s):  
Phillip M. Boiselle ◽  
Alberto V. Mansilla ◽  
Charles S. White ◽  
Mary S. Fisher
Keyword(s):  

2005 ◽  
Vol 13 (4) ◽  
pp. 325-329 ◽  
Author(s):  
Joseph Alex ◽  
Rajesh Shah ◽  
Steven C Griffin ◽  
Alexander RJ Cale ◽  
Michael E Cowen ◽  
...  

Prospective data of 3,120 consecutive patients who had elective coronary artery bypass were analyzed to identify patient profile, cost, outcome and predictors of those readmitted to the intensive care unit. Group A ( n = 3,002) had a single intensive care unit admission and group B ( n = 118) were readmitted within 30 days after surgery. Parsonnet score, EuroSCORE, age, body mass index, chronic obstructive airway disease, peripheral vascular disease, renal dysfunction, unstable angina, congestive cardiac failure, and poor left ventricular function were higher in group B. Bypass and crossclamp times were longer, and the prevalence of inotropic and balloon pump support, arrhythmias, myocardial infarction, re-exploration, blood loss and transfusion, cerebrovascular accident, wound infection, sternal dehiscence, and multisystem failure were higher in group B. Despite a 4-fold increase in cost of care, the mortality rate (32.4%) of patients readmitted to intensive care was 23-times higher than routine patients (1.4%). Crossclamp time > 80 min, Parsonnet score > 10, EuroSCORE > 9, sternal dehiscence, ventricular arrhythmias, and renal failure predicted readmission.


2012 ◽  
Vol 21 (2) ◽  
pp. 74-77 ◽  
Author(s):  
M. Lusini ◽  
A. Di Martino ◽  
C. Spadaccio ◽  
A. Rainer ◽  
M. Chello ◽  
...  

2014 ◽  
Vol 86 (5) ◽  
Author(s):  
Edward Lewandowicz ◽  
Aleksandra Iljin ◽  
Anna Kasielska-Trojan ◽  
Marta Fijałkowska ◽  
Bogusław Antoszewski

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