Skip to content

The utility of the Risk Assessment and Prediction Tool in predicting discharge disposition, length of stay, and readmissions in patients undergoing transforaminal lumbar interbody fusion.

Aug 2026 · Journal of Neurosurgery : Spine · pp. 1-7 · 0 citations · 19 references
Medicine

Abstract

Objective

The Risk Assessment and Prediction Tool (RAPT) has been utilized to anticipate discharge needs after procedures such as total joint arthroplasty. Its usefulness for spine patients, particularly those undergoing transforaminal lumbar interbody fusion (TLIF), has not been clearly established. This study evaluated the relationship between the preoperative RAPT score and 3 postoperative outcomes: discharge destination, hospital length of stay (LOS), and 30-day readmission.

Methods

A retrospective cohort study was conducted of adults who underwent elective TLIF with a recorded preoperative RAPT score. RAPT was analyzed as a continuous variable. Home discharge and 30-day readmission were modeled with logistic regression, and LOS with linear regression. Multivariable models adjusted for age, sex, Charlson Comorbidity Index (CCI), and insurance type. Discrimination for facility discharge was assessed by receiver operating characteristic (ROC) analysis at literature-aligned thresholds (RAPT scores 9.5 and 8.5: balanced and conservative, respectively).

Results

Among 116 patients, the mean age was 62.2 years and 50.9% of patients were female; the mean BMI was 29.9, and the mean CCI was 5.64. The mean RAPT score was 9.65, and the mean LOS was 3.14 days. Discharge to a skilled nursing or rehabilitation facility occurred in 6.9% of patients, and 30-day readmission occurred in 6.0%. Each 1-point increase in the RAPT score was associated with higher odds of home discharge (univariate: OR 1.74, 95% CI 1.11-2.73, p = 0.016; multivariable: OR 2.17, 95% CI 1.24-3.80, p = 0.007) and a shorter LOS (β = -0.38 days, 95% CI -0.71 to -0.05, p = 0.025; adjusted β = -0.39, bootstrap 95% CI -0.76 to -0.10, p = 0.038). The RAPT score was not associated with 30-day readmission (adjusted OR 0.93, 95% CI 0.52-1.65; p = 0.798). ROC analysis for predicting facility discharge showed moderate discrimination with an area under the curve of 0.709 (95% CI 0.543-0.876, p = 0.049), with sensitivity 63% and specificity 62% at 9.5, and sensitivity 38% and specificity 82% at 8.5. Youden's index revealed an optimal cutoff of 10.5, with sensitivity 100% and specificity 29.6%.

Conclusions

In patients undergoing TLIF, higher preoperative RAPT scores were associated with greater odds of home discharge and shorter LOS. RAPT may serve as a practical preoperative tool to support discharge planning and resource allocation in spine surgery.

View source

Similar papers

Jul 2026

Comparative performance of the risk analysis index versus traditional frailty measures in predicting outcomes following revision total hip arthroplasty for mechanical prosthetic complications.

The Risk Analysis Index significantly outperforms the mFI-5 across key outcomes following revision total hip arthroplasty for mechanical prosthetic complications, making it a superior tool for surgical risk stratification, discharge planning, and identifying high-risk patients who may benefit from targeted perioperative optimisation.

C. Sabet, Bhav Jain, Jad J. Lawand et al. · 0 citations
Open access Jul 2026

Predicting Patient-Reported Outcome Measures, Satisfaction, Healthcare Utilization, Mortality, and Return to Work After Total Knee Arthroplasty Using Machine Learning: A 14,900-Patient Study.

This study developed and validated machine learning models to predict postoperative patient-reported outcomes, satisfaction, healthcare utilization, mortality, and return to work after primary TKA.

Shujaa T Khan, Anukriti Sharma, Shlok V Patel et al. · 0 citations
Jul 2026

Risk Factors for Readmission Following Same-Day Discharge in Primary Total Hip Arthroplasty.

While SDD after primary THA is associated with low overall readmission rates, smoking and advanced age confer disproportionately greater readmission risk when same-day discharge is pursued, suggesting that smoking status and age may warrant additional attention during preoperative counseling and individualized same-day discharge decision-making.

Braden V. Saba, Michael D. Montague, Moses I Markowitz et al. · 0 citations
Open access Jul 2026

To construct a risk prediction model for poor discharge readiness in patients undergoing elective unilateral lower extremity joint replacement based on clinical and psychosocial factors

This study successfully developed a high-precision and interpretable machine learning prediction tool that can effectively identify high-risk patients with poor discharge readiness and highlights the critical impact of shortening hospital stay, preoperative psychological state, and socioeconomic status on rehabilitation outcomes.

Dan-dan Lin, Yu-Cai Jiang, Lin-Lin Zheng et al. · 0 citations
Review Open access Jul 2026

The incidence, causes, risk factors, and predictive nomogram of 30-day unplanned reoperation after spinal surgery: a multi-center retrospective study.

The newly developed nomogram exhibits good discrimination, favourable calibration, and superior net clinical benefit, enabling accurate individualized prediction of short-term unplanned reoperation.

Jiao Dai, W. Dong, Shuo Wang et al. · 0 citations
Review Open access Aug 2026

Identification of Risk Factors and Development of a Prediction Model for Recovery Room Delirium Following Transurethral Resection of the Prostate

The RRD prediction model incorporating age, ASA classification, preoperative hypoalbuminemia, intraoperative hypothermia, intraoperative hypothermia, and hypotension demonstrated promising discriminatory ability and calibration in this single-center cohort.

Zhen-Xiang Jiang, Hongrui Zhu, Ting Wang et al. · 0 citations