{Reference Type}: Journal Article
{Title}: A risk-stratification algorithm to reduce superficial surgical site complications in primary hip and knee arthroplasty.
{Author}: Anatone AJ;Shah RP;Jennings EL;Geller JA;Cooper HJ;
{Journal}: Arthroplast Today
{Volume}: 4
{Issue}: 4
{Year}: Dec 2018
暂无{DOI}: 10.1016/j.artd.2018.09.004
{Abstract}: <B>BACKGROUND: </B>Surgical site complications (SSCs) are the most common cause for readmission after total joint arthroplasty (TJA), increasing costs while predisposing to inferior long-term outcomes. Prophylactic use of closed-incision negative pressure therapy (ciNPT) may lower the risk of these complications, especially in high-risk populations, but appropriate-use guidelines are lacking for patients undergoing primary TJA. We sought to develop a risk-stratification algorithm to guide use of ciNPT dressings and test its use in normalizing the rate of superficial SSCs among high-risk groups.<BR><B>METHODS: </B>We reviewed 323 consecutive primary TJAs, where 38% of those patients considered at elevated risk were risk-stratified to receive ciNPT dressings. An individual risk score was developed, assigning points based on patient-specific risk factors. We identified a historical control population of 643 patients who all received the same postoperative dressing to test the impact of this risk score.<BR><B>RESULTS: </B>Compared with historical controls, we observed a modest but significant improvement in superficial SSCs after implementation of risk-stratification (12.0% vs 6.8%; P = .013). Among high-risk patients, there was a marked improvement in SSCs when treated prophylactically with ciNPT dressings as compared with historical controls (26.2% vs 7.3%; P < .001). Low-risk patients, who continued to be treated with standard postoperative dressings, demonstrated no significant improvement (8.6% vs 6.5%; P = .344).<BR><B>CONCLUSIONS: </B>ciNPT dressings are effective at reducing and normalizing risks of superficial SSCs among high-risk primary arthroplasty patients. The proposed risk-stratification algorithm may help identify those patients who benefit most from these dressings.