Risk Factors for Tracheostomy after Traumatic Cervical Spinal Cord Injury: A 10-Year Study of 456 Patients

Development and Validation of a Novel Nomogram for Predicting Mechanical Ventilation After Cervical Spinal Cord Injury

OBJECTIVE

To investigate the risk factors relating to the need for mechanical ventilation (MV) in isolated patients with cervical spinal cord injury (cSCI) and to construct a nomogram prediction model.

DESIGN

Retrospective analysis study.

SETTING

National Spinal Cord Injury Model System Database (NSCID) observation data were initially collected during rehabilitation hospitalization.

PARTICIPANTS

A total of 5784 patients (N=5784) who had a cSCI were admitted to the NSCID between 2006 and 2021.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE(S)

A univariate and multivariate logistic regression analysis was used to identify the independent factors affecting the use of MV in patients with cSCI, and these independent influencing factors were used to develop a nomogram prediction model. The area under the receiver operating characteristic curve (AUROC), calibration curve, and decision curve analysis (DCA) were used to evaluate the efficiency and the clinical application value of the model, respectively.

RESULTS

In a series of 5784 included patients, 926 cases (16.0%) were admitted to spinal cord model system inpatient rehabilitation with the need for MV. Logistic regression analysis demonstrated that associated injury, American Spinal Cord Injury Association Impairment Scale (AIS), the sum of unilateral optimal motor scores for each muscle segment of upper extremities (sUEM), and neurologic level of injury (NLI) were independent predictors for the use of MV (P<.05). The prediction nomogram of MV usage in patients with cSCI was established based on the above independent predictors. The AUROC of the training set, internal verification set, and external verification set were 0.871 (0.857-0.886), 0.867 (0.843-0.891), and 0.850 (0.824-0.875), respectively. The calibration curve and DCA results showed that the model had good calibration and clinical practicability.

CONCLUSIONS

The nomograph prediction model based on sUEM, NLI, associated injury, and AIS can accurately and effectively predict the risk of MV in patients with cSCI, to help clinicians screen high-risk patients and formulate targeted intervention measures.

Long-term trends and risk factors of tracheostomy and decannulation in patients with cervical spinal cord Injury

STUDY DESIGN

Retrospective study.

OBJECTIVES

To investigate the risk factors of tracheostomy and decannulation after cervical spinal cord injury (CSCI) and their epidemiological changes over the past 8 years in Beijing Bo'ai Hospital, China Rehabilitation Research Center (CRRC), China.

SETTING

Beijing Bo'ai Hospital, CRRC.

METHODS

We reviewed 8 years of patient data (2013.1.1 to 2020.12.31) at CRRC, focusing on those hospitalized and diagnosed with CSCI. We analyzed changes in demographic and clinical data's trends. Logistic regression analysis was used to determine factors impacting tracheostomy and decannulation.

RESULTS

Finally, 1641 CSCI patients met the inclusion criteria. Over the past 8 years, the proportion of tracheostomized patients with CSCI was 16.3%, and the proportion of successfully decannulated of tracheostomized patients with TCSCI was 77.9%. We found that Traumatic (OR = 1.8, 95% CI = 1.06, 3.22; p = 0.046), Motor level of injury (C5-C8) (OR = 0.32, 95% CI = -1.91,-0.34; p = 0.005), AIS = A/B/C (OR = 22.7/11.1/4.2, 95% CI = 12.16,42.26/5.74,21.56/2.23,7.89; p < 0.001/p < 0.001/p < 0.001), age > 56 (OR = 1.6, 95% CI = 1.04, 2.32; p = 0.031) were the risk factors for tracheostomy. By analyzing the risk factors of decannulation failure in tracheostomized patients with TCSCI through multivariable logistic regression, statistically significant differences were found in age > 45 (OR = 4.1, 95% CI = 1.44, 11.81; p = 0.008), complete injury (OR = 2.7, 95% CI = 1.26, 5.95; p = 0.011), facet dislocation (OR = 2.8, 95% CI = 1.13,7.07; p = 0.027).

CONCLUSIONS

Recent years have witnessed shifts in the epidemiological characteristics of CSCI. Identifying the factors influencing tracheostomy and decannulation in CSCI can aid in improving patient prognosis.

Predicting extubation in patients with traumatic cervical spinal cord injury using the diaphragm electrical activity during a single maximal maneuver

BACKGROUND

The unsuccessful extubation in patients with traumatic cervical spinal cord injuries (CSCI) may result from impairment diaphragm function and monitoring of diaphragm electrical activity (EAdi) can be informative in guiding extubation. We aimed to evaluate whether the change of EAdi during a single maximal maneuver can predict extubation outcomes in CSCI patients.

METHODS

This is a retrospective study of CSCI patients requiring mechanical ventilation in the ICU of a tertiary hospital. A single maximal maneuver was performed by asking each patient to inhale with maximum strength during the first spontaneous breathing trial (SBT). The baseline (during SBT before maximal maneuver), maximum (during the single maximal maneuver), and the increase of EAdi (ΔEAdi, equal to the difference between baseline and maximal) were measured. The primary outcome was extubation success, defined as no reintubation after the first extubation and no tracheostomy before any extubation during the ICU stay.

RESULTS

Among 107 patients enrolled, 50 (46.7%) were extubated successfully at the first SBT. Baseline EAdi, maximum EAdi, and ΔEAdi were significantly higher, and the rapid shallow breathing index was lower in patients who were extubated successfully than in those who failed. By multivariable logistic analysis, ΔEAdi was independently associated with successful extubation (OR 2.03, 95% CI 1.52-3.17). ΔEAdi demonstrated high diagnostic accuracy in predicting extubation success with an AUROC 0.978 (95% CI 0.941-0.995), and the cut-off value was 7.0 μV.

CONCLUSIONS

The increase of EAdi from baseline SBT during a single maximal maneuver is associated with successful extubation and can help guide extubation in CSCI patients.

The Dose-Response Relationship Between Age and Tracheostomy in Patients with Traumatic Cervical Spinal Cord Injury: A Restricted Cubic Spline Function Analysis

OBJECTIVE

To investigate the continuous relationship between age and tracheostomy in patients with traumatic cervical spinal cord injury (TCSCI).

METHODS

This study comprised 689 TCSCI patients in total. The logistic regression and restricted cubic spline analysis was applied to analyze the possible dose-response relationship between age and tracheostomy. The subgroup analysis was performed for the American Spinal Injury Association (ASIA) grade and neurological level of injury.

RESULTS

The proportion of patients with the age ≥60 was significantly higher in the tracheostomy group than in the non-tracheostomy group (42.2% vs. 19.6%; P < 0.001). Age ≥60 was independently associated with tracheostomy (total: odds ratio = 3.560, 95% confidence interval: 1.892-6.697; P < 0.001) after adjusting for gender, smoking history, dislocation, respiratory complications, ASIA grade, neurological level of injury, preexisting lung disease, brain injury, and thoracic injury. After the relationship was presented in the subgroup analysis, the restricted cubic spline revealed a nonlinear relationship between age and tracheostomy (P-overall < 0.001 and P-nonlinear = 0.021).

CONCLUSIONS

Age and tracheostomy present a dose-response relationship in patients with TCSCI. This finding could help physicians bring assistance in the early identification of tracheostomy and rationalize the allocation of medical resources.

Respiratory Complications and Weaning Considerations for Patients with Spinal Cord Injuries: A Narrative Review

Respiratory complications following traumatic spinal cord injury are common and are associated with high morbidity and mortality. The inability to cough and clear secretions coupled with weakened respiratory and abdominal muscles commonly leads to respiratory failure, pulmonary edema, and pneumonia. Higher level and severity of the spinal cord injury, history of underlying lung pathology, history of smoking, and poor baseline health status are potential predictors for patients that will experience respiratory complications. For patients who may require prolonged intubation, early tracheostomy has been shown to lead to improved outcomes. Prediction models to aid clinicians with the decision and timing of tracheostomy have been shown to be successful but require larger validation studies in the future. Mechanical ventilation weaning strategies also require further investigation but should focus on a combination of optimizing ventilator setting, pulmonary toilet techniques, psychosocial well-being, and an aggressive bowel regimen.

Tracheostomy in traumatic cervical spinal cord injury: Early versus late tracheostomy

OBJECTIVE

The purpose of this study was to characterize the relationship between predictors and the time of tracheostomy after traumatic cervical spinal cord injury (TCSCI).

METHODS

Five hundred twenty-six patients with TCSCI treated between January,2012 and December, 2021 were retrospectively reviewed. Patients were subdivided into two groups: early tracheostomy (≤7 days from initiation of endotracheal intubation) and late tracheostomy. Comparisons between early tracheostomy and late tracheostomy were statistically analyzed. Logistic regression analysis was applied to identify independent predictors of tracheostomy and calculate probability for different grades of combining predictors to predict tracheostomy. Spearman's correlation coefficient was used to evaluate the association between the grade of combining predictors and the time to tracheostomy.

RESULTS

Among 526 eligible patients, 63(12.0%) had a tracheostomy performed. Compared with late tracheostomy group, patients in early tracheostomy group had higher ISS, more severe neurological status while fewer In-hospital LOS days and ICU LOS days. By Logistic regression analysis, severe American Spinal Injury Association Impairment Scale (AIS A), the neurological level of injury (NLI>C5), higher Injury Severity Score (ISS>16) and advanced age (over 50 years old) were identified as independent predictors for tracheostomy. Depending on the likelihood of tracheostomy, the combining predictors were graded into five categories. As the value of probability was higher than 50%, Grade I-III made optimistic predictions about tracheostomy. According to Spearman's correlation analysis, early tracheostomy had a strong association with Grade I, while late tracheostomy was closely correlated with Grade III.

CONCLUSIONS

Factors related to the decision of tracheostomy were ASIA impairment scale, neurological level of injury, injury severity score and age. The grades of combining predictors could support indication for predicting the time of tracheostomy.

A Nomogram Model for Prediction of Tracheostomy in Patients With Traumatic Cervical Spinal Cord Injury

OBJECTIVE

To develop a nomogram for the prediction of tracheostomy in patients with traumatic cervical spinal cord injury (TCSCI).

METHODS

A total of 689 TCSCI patients were included in our study. First, the variable selection was performed using between-group comparisons and LASSO regression analysis. Second, a multivariate logistic regression analysis (MLRA) with a step-by-step method was performed. A nomogram model was developed based on the MLRA. Finally, the model was validated on the training set and validation set.

RESULTS

The nomogram prediction model incorporated 5 predictors, including smoking history, dislocation, thoracic injury, American Spinal Injury Association (ASIA) grade, and neurological level of injury (NLI). The area under curve in the training group and in the validation group were 0.883 and 0.909, respectively. The Hosmer-Lemeshow test result was p = 0.153. From the decision curve analysis curve, the model performed well and was feasible to make beneficial clinical decisions.

CONCLUSION

The nomogram combining dislocation, thoracic injury, ASIA grade A, NLI, and smoking history was validated as a reliable model for the prediction of tracheostomy.

The shoulder abductor strength is a novel predictor of tracheostomy in patients with traumatic cervical spinal cord injury

BACKGROUND

Early prediction of tracheostomy in traumatic cervical spinal cord injury (TCSCI) patients is often difficult. This study aims to clarify the association between shoulder abductor strength (SAS) and tracheostomy in patients with TCSCI.

METHODS

We retrospectively analyzed 513 TCSCI patients who were treated in our hospital. All patients were divided into a tracheostomy group and a non-tracheostomy group. The SAS was assessed using the Medical Research Council (MRC) Scale for Muscle Strength grading. Potential predictors were assessed for their association with tracheostomy in patients. A nomogram was developed based on multivariable logistic regression analysis (MLRA) to visualize the predictive ability of the SAS. Validation of the nomogram was performed to judge whether the nomogram was reliable for visual analysis of the SAS. Receiver operating characteristics curve, specificity, and sensitivity were also performed to assess the predictive ability of the SAS.

RESULTS

The proportion of patients with the SAS grade 0-2 was significantly higher in the tracheostomy group than in the non-tracheostomy group (88.1% vs. 54.8%, p = 0.001). The SAS grade 0-2 was identified as a significant predictor of the tracheostomy (OR: 4.505; 95% CI: 2.080-9.758; p = 0.001). Points corresponding to both the SAS grade 0-2 and the neurological level of injury at C2-C4 were between 60 and 70 in the nomogram. The area under the curve for the SAS grade 0-2 was 0.692. The sensitivity of SAS grade 0-2 was 0.239. The specificity of SAS grade 0-2 was 0.951.

CONCLUSIONS

SAS is a novel predictor of tracheostomy in patients after TCSCI. The SAS grade 0-2 had a good predictive ability of tracheostomy.