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Introduction Interhospital transfer (IHT) contributes to increasing health care costs and typically accounts for increased patient morbidity and mortality compared to non-IHT patients. IHT inefficiencies leave patients vulnerable to delayed care and subsequent poor outcomes. In this study, we investigated factors influencing IHT of patients undergoing intracranial tumor resection (ITR), by comparing the variables distinguishing IHTs from non-IHT patients. Methods We performed a single-center retrospective review comparing IHT and non-IHT patients undergoing ITR from 2016 to 2018. Study variables included age, sex, race, the Milan Complexity Scale (MCS) score, 11-factor modified frailty index (mFI-11), length of stay (LOS), and Clavien-Dindo Score (CDS). Chi-square and Mann-Whitney U tests were used to identify significant differences in these variables between groups, while variables predictive of transfer status were identified using binary logistic regression. Results Data were collected from 219 patients undergoing ITR, with 80 (36.5%) IHT patients overall. The average age was 52 years (SD 18) and 57.7% were men. The MCS score was significantly higher in the IHT group (p = 0.014); however, mFI-11 was not (p = 0.322). The MCS score was predictive of IHT status in regression analysis (OR 1.17, p = 0.034). The IHT patients had a longer LOS (12 days vs 8 days, p = 0.014) with a lower CDS (p = 0.02). Conclusion The transfer patients for intracranial tumor resection had a higher MCS score and thus comprised a more surgically challenging population compared to non-transfer patients. As expected, IHT patients had a longer LOS as they lived further from hospital by definition.
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BACKGROUND: The spine surgery complexity score (SSCS), previously reported by us, is a simple grading system to predict postoperative complications and hospital length of stay (LOS). This scale is based on the technical difficulty of the spinal procedures being performed. METHODS: We performed a retrospective chart review to validate SSCS in 671 consecutive patients undergoing spine procedures at a quaternary academic hospital. RESULTS: The SSCS was predictive of the hospital LOS and postoperative complications (defined by the ClavienDindo score), based on linear regression analysis (P < 0.001 for both). CONCLUSION: Categorizing procedures according to the SSCS may enable neurosurgeons to assess surgical risk and predict longer LOS courses after spine surgery. Thus, it may prove useful in preoperative patient evaluation/ education and determining a prognosis based on surgical complexity.
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OBJECTIVE: Interhospital patient transfer (IHT) of patients is common and accounts for a significant portion of health care costs, yet the variables driving neurosurgical IHT have not been systematically described. We analyzed variables that distinguished spine surgery patients who underwent IHT from patients who did not undergo IHT to report on the effect of frailty on IHT. METHODS: A retrospective chart review was performed to collect data on consecutive patients undergoing spinal procedures during 2015-2017. IHT patients were identified and compared with non-interhospital patient transfer (n-IHT) patients to identify factors that distinguished the 2 patient groups using multivariate regression analysis. Studied variables included case complexity, frailty (modified frailty index), age, insurance status, and baseline demographic variables. Postoperative outcomes affected by transfer status were identified in binary regression analysis. RESULTS: During 2015-2017, there were 595 n-IHT and 76 IHT spine surgery patients (N = 671). Increased frailty (modified frailty index ≥3; odds ratio = 2.4, P = 0.01) and increased spine surgery complexity (spine surgery complexity score ≥2; odds ratio = 2.57, P = 0.002) were independent risk factors associated with IHT. IHT was an independent risk factor for increased hospital length of stay and increased postoperative complications (Clavien-Dindo scale; P < 0.001). CONCLUSIONS: IHT patients comprise a more frail and surgically complex surgical spine population compared with n-IHT patients. IHT was also an independent risk factor for increased complications and length of stay after spine surgery. Patients' insurance status and age did not distinguish between IHT and n-IHT groups. This is the first report in any specialty to demonstrate increasing frailty is associated with IHT.