When surgical option is not provided: a successful multidisciplinary approach to a refractory case of sternal osteomyelitis following coronary surgery

PURPOSE

Sternal osteomyelitis is a major complication of cardiac operations performed through median sternotomy. The surgical treatment, which involves the debridement and removal of whole infected and necrotic tissue is the standard of care, although it is sometimes unachievable. This may occur, for instance, when the infectious-inflammatory process invades the anterior mediastinum and tenaciously incorporates one or more of vital anatomical structures.

METHODS AND RESULTS

An inoperable case of postoperative sternal osteomyelitis that involved the right ventricle and the right coronary artery, and that was successfully treated using a nonsurgical multidisciplinary approach, is reported here.

CONCLUSION

For highly selected patients with sternal osteomyelitis for whom surgery is a too risky option, an approach including the contribution of various specialists might be a viable way out.

Risk stratification tool for all surgical site infections after coronary artery bypass grafting

OBJECTIVE

To develop a risk score for surgical site infections (SSIs) after coronary artery bypass grafting (CABG).

DESIGN

Retrospective study.

SETTING

University hospital.

PATIENTS

A derivation sample of 7,090 consecutive isolated or combined CABG patients and 2 validation samples (2,660 total patients).

METHODS

Predictors of SSIs were identified by multivariable analyses from the derivation sample, and a risk stratification tool (additive and logistic) for all SSIs after CABG (acronym, ASSIST) was created. Accuracy of prediction was evaluated with C-statistic and compared 1:1 (using the Hanley-McNeil method) with most relevant risk scores for SSIs after CABG. Both internal (1,000 bootstrap replications) and external validation were performed.

RESULTS

SSIs occurred in 724 (10.2%) cases and 2 models of ASSIST were created, including either baseline patient characteristics alone or combined with other perioperative factors. Female gender, body mass index >29.3 kg/m2, diabetes, chronic obstructive pulmonary disease, extracardiac arteriopathy, angina at rest, and nonelective surgical priority were predictors of SSIs common to both models, which outperformed (P < .0001) 6 specific risk scores (10 models) for SSIs after CABG. Although ASSIST performed differently in the 2 validation samples, in both, as well as in the derivation data set, the combined model outweighed (albeit not always significantly) the preoperative-only model, both for additive and logistic ASSIST.

CONCLUSIONS

In the derivation data set, ASSIST outperformed specific risk scores in predicting SSIs after CABG. The combined model had a higher accuracy of prediction than the preoperative-only model both in the derivation and validation samples. Additive and logistic ASSIST showed equivalent performance.