A study published online in the journal Spine comparing predictors of surgical site infection (SSI) and hospital readmission after lumbar fusion in the United States, Denmark, and Japan found that these predictors vary between the three countries, suggesting that risk stratification models may need to be population specific or adjusted. 

The authors determined and compared predictors from three prospective databases: the National Neurosurgery Quality and Outcomes Database (N2QOD), DaneSpine, and the Japan Multicenter Spine Database (JAMSD). They authors found that predictive variables differed in the three databases, for both readmission and SSI. Factors predictive for hospital readmission were American Society of Anesthesiologists (ASA) grade in N2QOD, fusion levels in DaneSpine, and sex in the Japan database. For SSI, sex, diabetes, and length of stay were predictive in JAMSD , while no predictors were identified in N2QOD or DaneSpine. The authors noted that patient and procedure selection differ in the three countries, limiting the ability to directly pool data from different regions. Learn more...

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