Thirty- and 90-Day Readmissions After Treatment of Traumatic Subdural Hematoma: National Trend Analysis

Development and validation of a nomogram to predict the probability of death after surgical evacuation for traumatic intracranial hemorrhage

Here we describe the derivation and validation of a prognostic nomogram for patients with Traumatic Intracranial Hemorrhage (tICH) after surgical evacuation. This is a retrospective study based on 245 patients admitted to the Department of Neurosurgery of Huashan Hospital affiliated to Fudan University, between August 2005, and August 2023. We divided the dataset into primary and validation data by the ratio of 7:3. The LASSO regression model was used for predictor selection. The nomogram was developed using Cox regression models. The predictive performance of the nomogram was assessed by concordance index (C index) and calibration in the primary and validation cohorts. We also used decision curve analysis (DCA) to describe the clinical value. The main outcome was death related to tICH. The nomogram incorporated age, GCS-E, history of hypertension, and cerebellar hematoma, which was selected by the LASSO regression model. The nomogram showed good calibration and discrimination in the primary and validation data, with a 1-year C-index of 0.882 (95% CI, 0.777 to 0.987) and 0.818 (95% CI, 0.669 to 0.968), respectively. Decision curve analysis indicated that the nomogram is clinically useful when the patient or doctor's threshold probability ranges from 10 to 100%. In this study, we found that the tICH-related mortality rate was 11.42% (28/245). In the elderly cohort aged ≥ 65 years, the mortality rate increased to 28.13%(18/64). The nomogram we developed here can be conveniently used to predict the long-term prognosis of patients with tICH after surgical evacuation.Retrospectively registered: KY2024-860.

Nationwide Readmission Rates and Hospital Charges for Patients With Surgical Evacuation of Nontraumatic Subdural Hematomas: Part 2-Burr Hole Craniostomy

BACKGROUND

Nontraumatic subdural hematoma (SDH) is a common neurological disease that causes extensive morbidity and mortality. Craniotomy or burr hole craniostomy (BHC) is indicated for symptomatic lesions, but both are associated with high recurrence rates. Although extensive research exists on postoperative complications after BHCs, few studies have examined the underlying causes and predictors of unplanned 30-day hospital readmissions at the national level.

OBJECTIVE

To compare causes for hospital readmission within 30 days after surgical SDH evacuation with BHC and evaluate readmission rates and independent predictors of readmission.

METHODS

This retrospective cohort observational study was designed using the Nationwide Readmissions Database. We identified patients who had undergone BHC for SDH evacuation (2010-2015). National estimates and variances within the cohort were calculated after stratifying, hospital clustering, and weighting variables.

RESULTS

We analyzed 2753 patients who had BHC for SDH evacuation: 675 (24.5%) had at least one 30-day readmission. Annual readmission rates did not vary across the study period ( P = .60). The most common cause of readmission was recurrent SDH (n = 630, 93.3%), and the next most common was postoperative infection (n = 12, 1.8%). Comorbidities significantly associated with readmission included fluid and electrolyte disorders, chronic blood loss anemia, chronic obstructive pulmonary disease, depression, liver disease, and psychosis ( P ≤ .04), but statistically significant independent predictors for readmission included only chronic obstructive pulmonary disease and fluid and electrolyte disorders ( P ≤ .007).

CONCLUSION

These national trends in 30-day readmission rates after nontraumatic SDH evacuation by BHC not otherwise published provide quality benchmarks that can aid national quality improvement efforts.

Readmission following extracranial-intracranial bypass surgery in the United States: nationwide rates, causes, risk factors, and volume-driven outcomes

OBJECTIVE

Extracranial-intracranial (EC-IC) bypass surgery remains an important treatment option for patients with moyamoya disease (MMD), intracranial arteriosclerotic disease (ICAD) with symptomatic stenosis despite the best medical management, and complex aneurysms. The therapeutic benefit of cerebral bypass surgery depends on optimal patient selection and the minimization of periprocedural complications. The nationwide burden of readmissions and associated complications following EC-IC bypass surgery has not been previously described. Therefore, the authors sought to analyze a nationwide database to describe the national rates, causes, risk factors, complications, and morbidity associated with readmission following EC-IC bypass surgery for MMD, ICAD, and aneurysms.

METHODS

The Nationwide Readmissions Database (NRD) was queried for the years 2010-2014 to identify patients who had undergone EC-IC bypass for MMD, medically failed symptomatic ICAD, or unruptured aneurysms. Predictor variables included demographics, preexisting comorbidities, indication for surgery, and hospital bypass case volume. A high-volume center (HVC) was defined as one that performed 10 or more cases/year. Outcome variables included perioperative stroke, discharge disposition, length of stay, total hospital costs, and readmission (30 days, 90 days). Multivariable analysis was used to identify predictors of readmission and to study the effect of treatment at HVCs on quality outcomes.

RESULTS

In total, 2500 patients with a mean age of 41 years were treated with EC-IC bypass surgery for MMD (63.1%), ICAD (24.5%), or unruptured aneurysms (12.4%). The 30- and 90-day readmission rates were 7.5% and 14.0%, respectively. Causes of readmission included new stroke (2.5%), wound complications (2.5%), graft failure (1.5%), and other infection (1.3%). In the multivariable analysis, risk factors for readmission included Medicaid/self-pay (OR 1.6, 95% CI 1.1-2.4, vs private insurance), comorbidity score (OR 1.2, 95% CI 1.1-1.4, per additional comorbidity), and treatment at a non-HVC (OR 1.9, 95% CI 1.1-3.0). Treatment at an HVC (17% of patients) was associated with significantly lower rates of nonroutine discharge dispositions (13.4% vs 26.7%, p = 0.004), ischemic stroke within 90 days (0.8% vs 2.9%, p = 0.03), 30-day readmission (3.9% vs 8.2%, p = 0.03), and 90-day readmission (8.6% vs 15.2%, p = 0.01). These findings were confirmed in a multivariable analysis. The authors estimate that centralization to HVCs may result in 333 fewer nonroutine discharges (50% reduction), 12,000 fewer hospital days (44% reduction), 165 fewer readmissions (43%), and a cost savings of $15.3 million (11% reduction).

CONCLUSIONS

Readmission rates for patients after EC-IC bypass are comparable with those after other common cranial procedures and are primarily driven by preexisting comorbidities, socioeconomic status, and treatment at low-volume centers. Periprocedural complications, including stroke, graft failure, and wound complications, occurred at the expected rates, consistent with those in prior clinical series. The centralization of care may significantly reduce perioperative complications, readmissions, and hospital resource utilization.

Causes and Predictors of Unplanned Readmission in Cranial Neurosurgery

OBJECTIVE

A better understanding of the risks and reasons for unplanned readmission is an essential component in reducing costs in the health care system and in optimizing patient safety and satisfaction. The reasons for unplanned readmission vary between different disciplines and procedures. The aim of this study was to identify reasons for readmission in view of different diagnoses in cranial neurosurgery.

METHODS

In this single-center retrospective study, adult patients after neurosurgical treatment were analyzed and grouped according to the indication based on International Classification of Diseases and Related Health Problems, Tenth Revision, German Modification diagnosis codes. The main outcome measure was unplanned readmission within 30 days of discharge. Further logistic regression models were performed to identify factors associated with unplanned rehospitalization.

RESULTS

Of the 2474 patients analyzed, 183 underwent unplanned rehospitalization. Readmission rates differed between the diagnosis groups, with 9.19% in neoplasm, 8.26% in hydrocephalus, 5.76% in vascular, 6.13% after trauma, and 8.05% in the functional group. Several causes were considered to be preventable, such as wound healing disorders, seizures, or social reasons. Younger age, length of first stay, surgical treatment, and side diagnoses were predictors for unplanned readmission. Diagnoses with an increased risk of readmission were glioblastoma, traumatic subdural hematoma, or chronic subdural hematoma.

CONCLUSIONS

Reasons and predictors for an unplanned readmission differ considerably among the index diagnosis groups. In addition to well-known reasons for readmission, we identified social indication, meaning a lack of home care, which is particularly prevalent in oncologic and elderly patients. A transitional care program could benefit these vulnerable patients.

A cross-sectional analysis of variables associated with morbidity and mortality in postoperative neurosurgical patients diagnosed with sepsis

BACKGROUND

Sepsis is a systemic, inflammatory response to infection associated with significant morbidity and mortality. There is a considerable lack of literature exploring sepsis in neurosurgery. We aimed to identify variables that were correlated with mortality and increased morbidity as defined by readmission and increased length of stay in postoperative neurosurgical patients that met a sepsis diagnosis.

METHODS

A retrospective chart review was conducted of 105 patients who underwent a neurosurgical operation at our institution from 2012 to 2017 who were discharged with at least one sepsis diagnosis code and who did not have a preoperative infection. We identified variables that were correlated with mortality, readmission, and increased length of stay.

RESULTS

Patients who survived were preferentially distributed towards lower ASA Physical Status Classification scores. A larger percentage of patients who did not survive had cranial surgery, whereas patients who survived were more likely to have undergone spinal surgery. Higher respiratory rates, higher maximum lactic acid levels, positive sputum cultures, and lower incoming Glasgow Coma Scores (GCS) were significantly correlated with mortality. A larger fraction of readmitted patients had positive surgical site cultures but had negative sputum cultures. Length of hospitalization was correlated with incoming GCS, non-elective operations, and Foley catheter, arterial line, central line, and endotracheal tube duration.

CONCLUSIONS

Neurosurgical postoperative patients diagnosed with sepsis may be risk stratified for mortality, readmission, and increased length of stay based on certain variables that may help direct their care. Further prospective studies are needed to explore causal relationships.