Objective: To develop a risk score for deep sternal wound infection (DSWI) after isolated coronary artery bypass grafting (CABG). Design: Multicenter, prospective study. Setting: Tertiary-care referral hospitals. Participants: The study included 7,352 patients from the European multicenter coronary artery bypass grafting (E-CABG) registry. Intervention: Isolated CABG. Methods: An additive risk score (the E-CABG DSWI score) was estimated from the derivation data set (66.7% of patients), and its performance was assessed in the validation data set (33.3% of patients). Results: DSWI occurred in 181 (2.5%) patients and increased 1-year mortality (adjusted hazard ratio, 4.275; 95% confidence interval [CI], 2.804-6.517). Female gender (odds ratio [OR], 1.804; 95% CI, 1.161-2.802), body mass index >= 30 kg/m(2) (OR, 1.729; 95% CI, 1.166-2.562), glomerular filtration rate <45 mL/min/1.73 m(2) (OR, 2.410; 95% CI, 1.413-4.111), diabetes (OR, 1.741; 95% CI, 1.178-2.573), pulmonary disease (OR, 1.935; 95% CI, 1.178-3.180), atrial fibrillation (OR, 1.854; 95% CI, 1.096-3.138), critical preoperative state (OR, 2.196; 95% CI, 1.209-3.891), and bilateral internal mammary artery grafting (OR, 2.088; 95% CI, 1.422-3.066) were predictors of DSWI (derivation data set). An additive risk score was calculated by assigning 1 point to each of these independent risk factors for DSWI. In the validation data set, the rate of DSWI increased along with the E-CABG DSWI scores (score of 0, 1.0%; score of 1, 1.8%; score of 2, 2.2%; score of 3, 6.9%; score >= 4: 12.1%; P < .0001). Net reclassification improvement, integrated discrimination improvement, and decision curve analysis showed that the E-CABG DSWI score performed better than other risk scores. Conclusions: DSWI is associated with poor outcome after CABG, and its risk can be stratified using the E-CABG DSWI score.

Preoperative risk stratification of deep sternal wound infection after coronary surgery / Biancari, Fausto; Gatti, Giuseppe; Rosato, Stefano; Mariscalco, Giovanni; Pappalardo, Aniello; Onorati, Francesco; Faggian, Giuseppe; Salsano, Antonio; Santini, Francesco; Ruggieri, Vito G; Perrotti, Andrea; Santarpino, Giuseppe; Fischlein, Theodor; Saccocci, Matteo; Musumeci, Francesco; Rubino, Antonino S; De Feo, Marisa; Bancone, Ciro; Nicolini, Francesco; Kinnunen, Eeva-Maija; Demal, Till; D'Errigo, Paola; Juvonen, Tatu; Dalén, Magnus; Maselli, Daniele. - In: INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY. - ISSN 0899-823X. - 41:4(2020), pp. 444-451. [10.1017/ice.2019.375]

Preoperative risk stratification of deep sternal wound infection after coronary surgery

Onorati, Francesco;
2020-01-01

Abstract

Objective: To develop a risk score for deep sternal wound infection (DSWI) after isolated coronary artery bypass grafting (CABG). Design: Multicenter, prospective study. Setting: Tertiary-care referral hospitals. Participants: The study included 7,352 patients from the European multicenter coronary artery bypass grafting (E-CABG) registry. Intervention: Isolated CABG. Methods: An additive risk score (the E-CABG DSWI score) was estimated from the derivation data set (66.7% of patients), and its performance was assessed in the validation data set (33.3% of patients). Results: DSWI occurred in 181 (2.5%) patients and increased 1-year mortality (adjusted hazard ratio, 4.275; 95% confidence interval [CI], 2.804-6.517). Female gender (odds ratio [OR], 1.804; 95% CI, 1.161-2.802), body mass index >= 30 kg/m(2) (OR, 1.729; 95% CI, 1.166-2.562), glomerular filtration rate <45 mL/min/1.73 m(2) (OR, 2.410; 95% CI, 1.413-4.111), diabetes (OR, 1.741; 95% CI, 1.178-2.573), pulmonary disease (OR, 1.935; 95% CI, 1.178-3.180), atrial fibrillation (OR, 1.854; 95% CI, 1.096-3.138), critical preoperative state (OR, 2.196; 95% CI, 1.209-3.891), and bilateral internal mammary artery grafting (OR, 2.088; 95% CI, 1.422-3.066) were predictors of DSWI (derivation data set). An additive risk score was calculated by assigning 1 point to each of these independent risk factors for DSWI. In the validation data set, the rate of DSWI increased along with the E-CABG DSWI scores (score of 0, 1.0%; score of 1, 1.8%; score of 2, 2.2%; score of 3, 6.9%; score >= 4: 12.1%; P < .0001). Net reclassification improvement, integrated discrimination improvement, and decision curve analysis showed that the E-CABG DSWI score performed better than other risk scores. Conclusions: DSWI is associated with poor outcome after CABG, and its risk can be stratified using the E-CABG DSWI score.
2020
4
Biancari, Fausto; Gatti, Giuseppe; Rosato, Stefano; Mariscalco, Giovanni; Pappalardo, Aniello; Onorati, Francesco; Faggian, Giuseppe; Salsano, Antonio...espandi
Preoperative risk stratification of deep sternal wound infection after coronary surgery / Biancari, Fausto; Gatti, Giuseppe; Rosato, Stefano; Mariscalco, Giovanni; Pappalardo, Aniello; Onorati, Francesco; Faggian, Giuseppe; Salsano, Antonio; Santini, Francesco; Ruggieri, Vito G; Perrotti, Andrea; Santarpino, Giuseppe; Fischlein, Theodor; Saccocci, Matteo; Musumeci, Francesco; Rubino, Antonino S; De Feo, Marisa; Bancone, Ciro; Nicolini, Francesco; Kinnunen, Eeva-Maija; Demal, Till; D'Errigo, Paola; Juvonen, Tatu; Dalén, Magnus; Maselli, Daniele. - In: INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY. - ISSN 0899-823X. - 41:4(2020), pp. 444-451. [10.1017/ice.2019.375]
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