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Abstract

Study design

Retrospective Cohort Study

Objective

The purpose of this study was to investigate the prognosis of respiratory function in elderly patients with cervical spinal cord injury (SCI) and to identify predictive factors.

Methods

We included 1353 cases of elderly cervical SCI patients collected from 78 institutions in Japan. Patients who required early tracheostomy and ventilator management and those who developed respiratory complications were defined as the respiratory disability group. Patients’ background characteristics, injury mechanism, injury form, neurological disability, complications, and treatment methods were compared between the disability and non-disability groups. Multiple logistic regression analysis was used to examine the independent factors. Patients who required respiratory management for 6 months or longer after injury and those who died of respiratory complications were classified into the severe disability group and were compared with minor cases who were weaned off the respirator.

Results

A total of 104 patients (7.8%) had impaired respiratory function. Comparisons between the disabled and non-disabled groups and between the severe and mild injury groups yielded distinct trends. In multiple logistic regression analysis, age, blood glucose level, presence of ossification of posterior longitudinal ligament (OPLL), anterior vertebral hematoma, and critical paralysis were selected as independent risk factors.

Conclusion

Age, OPLL, severe paralysis, anterior vertebral hematoma, hypoalbuminemia, and blood glucose level at the time of injury were independent factors for respiratory failure. Hyperglycemia may have a negative effect on respiratory function in this condition.

Keywords

cervical spinal cord injury respiratory dysfunction risk factor hyperglycemia

Introduction

In the early stage of spinal cord injury (SCI), spinal cord shock causes loss of reflexes below the level of injury and flaccid paralysis. In acute cervical SCI with residual diaphragmatic function, contraction of the diaphragm pulls in the relaxed upper thorax, resulting in ectopic respiration. Because of the poor ventilatory efficiency of ectopic respiration, tracheostomy should be considered if respiratory status does not improve with temporary ventilator management and long-term intubation is necessary. In the autonomic nervous system, the sympathetic nervous system is paralyzed and the parasympathetic nervous system becomes dominant, resulting in increased airway secretions and pulmonary edema. As a result, in acute cases, even if the paralytic level is below the C4 level and the diaphragm is functional and positive pressure ventilation with a ventilator is unnecessary, respiratory complications due to sputum accumulation may occur due to paralysis of the abdominal and intercostal muscles, which play an important role in expelling lung secretions. In addition, edema of the injured spinal cord may cause paralysis to ascend, resulting in temporary worsening of respiratory muscle paralysis. Under these circumstances, respiratory function may also deteriorate owing to respiratory muscle fatigue. Because of these mechanisms, the respiratory condition may deteriorate within a few days, although respiration is maintained immediately after the injury. Therefore, cases have been observed where patients who had no breathing problems for approximately 2 days after receiving the injury, gradually developed breathing problems and required tracheostomy and ventilator management. In recent years, the number of injuries due to minor trauma in the elderly has been increasing.^1,2 Elderly patients with SCI are at a high risk of developing pneumonia or atelectasis, which can be fatal due to decreased respiratory, cardiopulmonary, and swallowing functions, all directly related to increased mortality. In particular, respiratory failure can occur even with good respiratory conditions at the time of admission. Early prediction and intervention in such cases are directly related to treatment outcomes. In this study, we examined cases of cervical SCI in elderly patients who required tracheostomy and ventilator management due to respiratory failure and investigated the risk factors for requiring tracheostomy. Furthermore, this study investigated the risk factors in patients with severe respiratory failure who cannot be taken off the ventilator for long and need to be managed.

Materials and Methods

This study retrospectively analyzed multicenter registry data collected by the Japan Association of Spine Surgeons with Ambition (JASA). The institutional review board of a representative facility reviewed and approved this study (No. 3352-1).

Informed Consent

Because this was a retrospective study, informed consent was not required for submission. On the contrary, the optout of this study was posted on the website (and title https://web.sapmed.ac.jp/orsurg/guide/hj0g2h00000007ax-att/pgsps60000000g3l.pdf and https://web.sapmed.ac.jp/orsurg/guide/hj0g2h00000007ax-att/pgsps60000000g3l.pdf) and we did not receive any inquiries.

Patient Population

Participants included patients aged 65 years and above with traumatic cervical SCI and/or traumatic cervical fracture, who were treated conservatively or surgically from 2010 to 2020 at an institution registered in the JASA and monitored for at least 3 months after the injury. Patients with cervical metastasis, chest injury, thoracolumbar injury, and missing data were excluded. In total, 1353 patients from 78 institutions were enrolled in this study (average age: 75.9± 6.9 years; 906 males and 447 females). The definition of cervical SCI without bone injury was SCI with no evidence of spinal fracture or dislocation on plain radiography or computed tomography (CT).

We divided subjects into 2 groups based on respiratory status after injury. We defined respiratory dysfunction as cases that required tracheostomy early after injury, or cases in which respiratory complications such as pneumonia or atelectasis appeared. Furthermore, among the respiratory dysfunction cases, those who were weaned from respiratory management at 6 months after injury were classified as the mild respiratory insufficiency group, and those who were not weaned from respiratory management or died due to respiratory insufficiency were classified as the severe respiratory insufficiency group.

Additional to the analysis of all cases, we extracted only cases without bone injury and analyzed them through similar classifications.

Collected Data

Patients’ characteristics, age, sex, height, weight, body mass index, and history of smoking were investigated to determine the endogenous factors affecting the outcomes. Laboratory data on admission included the levels of hemoglobin (Hb) (g/dL), total protein (g/dL), albumin (Alb) (g/dL), blood glucose level (mg/dL), and HbA1c (%), which included the presence of a cervical fracture and cervical ossification of the posterior longitudinal ligament (OPLL) as detected by plain radiography and/or CT. In addition, data regarding signal changes in the spinal cord and anterior vertebral hematoma on T2-weighted magnetic resonance imaging were collected.

As a neurological impairment scale to determine the presence of SCI, the ASIA Impairment Scale (AIS)³ was used. Complications at injury, including head injury, abdominal organ damage, pelvic fracture, and vertebral artery injury were estimated. Data on concomitant disease, cerebrovascular disease, dementia, heart disease, respiratory illness, and diabetes mellitus were collected. The initial response, steroid, and early post-injury surgery (<24 h after injury) were estimated. Regarding treatment, presence of surgical treatment, surgical procedure, operation time, and amount of blood loss were assessed.

Statistical Analysis

Continuous variables were evaluated using Student’s t-tests. Non-continuous variables were evaluated using the χ² test and Fisher’s exact test. For each cohort, all variables were included in the multivariate analysis as explanatory variables. Furthermore, to identify predictors of respiratory dysfunction, we performed multivariate logistic regression analysis with stepwise variable selection using all of the survey items before respiratory dysfunction. The adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of the dependent variables were calculated. All analyses were performed using SPSS software (version 23; SPSS, Chicago, IL, USA). Statistical significance was set at P < .05.

Results

Patient Characteristics

This study involved 104 patients (7.8% of entire cohort) with early respiratory dysfunction who required early tracheostomy or had respiratory complications after injury. In addition, 26 of the 104 patients with severe disability required respiratory management for up to 6 months after injury and died of respiratory complications, while 78 patients with mild disability were successfully weaned from the ventilator (Figure 1). Figure 1.

Group Comparisons: Entire Cohort

The comparison between the 2 groups with regard to acute respiratory dysfunction in the entire cohort showed that the incapacitated patients were older (P = .006), more likely male (P < .001), taller (P = .033), blood tests for total lower protein (P < .001), lower Alb (P < .001), lower Hb (P = .003), and higher blood glucose level at the time of injury (P < .001). In radiologic data, respiratory dysfunction group demonstrated a prevalence of OPLL (P < .001), magnetic resonance imaging (MRI) intramedullary signal change (P < .001), anterior vertebral hematoma (P = .002), rate of neurological symptoms (P < .001), severity of paralysis (P < .001), abdominal injury (P = .023), and vertebral artery injury (P = .003).There were significantly more cases of previous heart disease (P = .006), respiratory disease (P = .011), and early surgery (P = .001) (Table 1).

Table 1.

Univariate Analysis of Demographics and Clinical Data of the Influence on Acute Respiratory Dysfunction in all Patients.

All cases	Item		Respiratory dysfunction -	Respiratory dysfunction +	P
			n = 1249	n = 104
Patients’ background	Age at injury		75.7 ± 6.9	77.7 ± 7.1	0.006
	Sex: Male (%)		65.5	84.6	<0.001
	Height (cm)		159.2 ± 9.2	161.3 ± 9.8	0.033
	Weight (kg)		56.1 ± 11.2	57.2 ± 11.4	0.363
	Body mass index (kg/m²)		22.1 ± 3.5	22.1 ± 4.4	0.995
	Smoking history		18.7	23.1	0.341
Laboratory data	TP (g/dL)		6.7 ± 0.7	6.3 ± 0.7	<0.001
	Alb (g/dL)		3.8 ± 0.6	3.4 ± 0.5	<0.001
	Hb (g/dL)		12.8 ± 1.9	12.2 ± 1.8	0.003
	Blood glucose level(mg/dL)		138.4 ± 50.4	165.5 ± 84.5	<0.001
	HbA1c (%)		6.2 ± 1.0	6.0 ± 1.1	0.353
Radiologic data	Cervical OPLL (%)		11.7	31.7	<0.001
	Intramedullary signal change (%)		57.1	78.8	<0.001
	Level of intramedullary signal change (%)	C1	3.4	1.0	0.345
		C2	5.9	11.3
		C3	37.8	38.9
		C4	25.6	17.5
		C5	20.5	15.5
		C6	7.9	13.4
		C7	0.9	2.4
	Anterior vertebral hematoma (%)		50.3	66.3	0.002
Neurological impairment scale	Spinal cord injury (%)		69.7	92.3	<0.001
	AIS A		7.4	50.9	<0.001
	B		5.5	12.3
	C		32.0	28.1
	D		55.1	8.7
Complications (%)	Complicated		28.6	35.1	0.162
	Head injury		12.2	5.8	0.073
	Abdominal organ damage		0.5	2.9	0.023
	Pelvic fracture		0.8	1.0	1.000
	Vertebral artery injury		2.7	8.7	0.003
Concomitant diseases (%)	Cerebrovascular disease		10.4	5.8	0.180
	Dementia		6.2	4.8	0.731
	Heart disease		14.3	25.0	0.006
	Respiratory disease		5.0	11.5	0.011
	Diabetes mellitus		22.1	25.8	0.384
Initial response (%)	Steroid		14.0	20.2	0.115
	Early post-injury surgery		5.1	13.5	0.001
	Halo-vest		6.7	7.7	0.862
Surgical treatment	Surgical treatment (%)		60.3	67.3	0.192
	Post. decomp		30.6	25.9	0.349
	Post. fusion		38.0	38.3
	Post. decomp and fusion		21.3	27.1
	Ant. fusion		5.3	2.5
	Ant. decomp and fusion		2.0	6.2
	Ant. and Post.		0.7	0.0
	Post. and Ant.		2.1	0.0
	Operation time (min)		160.4 ± 68.2	176.1 ± 70.8	0.074
	Amount of blood loss (mL)		206.8 ± 312.7	271.2 ± 354.0	0.121

Abbreviations: TP, total protein; Alb, albumin; Hb, hemoglobin; OPLL, ossification of posterior longitudinal ligament; AIS, ASIA Impairment Scale; Post., posterior; Ant., anterior.

Comparison of severe respiratory dysfunction between the 2 groups in the entire cohort showed that intramedullary signal changes (P = .027), neurological symptoms (P < .001), and heart disease history (P = .036) were significantly higher in the severe group (Table 2).

Table 2.

Results of Univariate Analysis of Demographic and Clinical Data of Respiratory Worsening Severity in all Patients.

All cases	Item		Mild respiratory dysfunction	Severe respiratory dysfunction	P
			n = 78	n = 26
Patients’ background	Age at injury		77.0 ± 7.1	79.6 ± 7.4	0.108
	Sex: Male (%)		80.8	96.2	0.117
	Height (cm)		160.6 ± 9.8	163.5 ± 6.8	0.222
	Weight (kg)		57.9 ± 11.4	55.1 ± 11.9	0.305
	Body mass index (kg/m²)		22.6 ± 4.4	20.6 ± 4.7	0.064
	Smoking history		25.6	15.4	0.420
Laboratory data	TP (g/dL)		6.4 ± 0.7	6.1 ± 0.7	0.173
	Alb (g/dL)		3.5 ± 0.5	3.3 ± 0.5	0.062
	Hb (g/dL)		12.3 ± 1.8	11.9 ± 1.6	0.337
	Blood glucose level (mg/dL)		175.2 ± 84.5	137.3 ± 52.9	0.069
	HbA1c (%)		6.0 ± 1.1	6.4 ± 1.5	0.292
Radiologic data	Cervical OPLL (%)		34.6	23.1	0.395
	Intramedullary signal change (%)		61.5	84.6	0.027
	Level of intramedullary signal change (%)	C1	1.3	0.0	0.345
		C2	11.8	9.5
		C3	41.4	28.0
		C4	15.8	23.8
		C5	14.5	19.0
		C6	11.8	18.9
		C7	3.4	0.8
	Anterior vertebral hematoma		71.8	50.0	0.072
Neurological impairment scale	Spinal cord injury		73.1	96.2	<0.001
	AIS A		49.5	56.5	0.202
	B		14.1	4.6
	C		28.6	26.1
	D		7.8	12.8
Complications (%)	Complicated		30.0	42.5	0.244
	Head injury		3.8	11.5	0.331
	Abdominal organ damage		3.8	0.0	0.735
	Pelvic fracture		0.0	3.8	0.562
	Vertebral artery injury		7.7	11.5	0.840
Concomitant diseases (%)	Cerebrovascular disease		6.4	3.8	1.000
	Dementia		3.8	7.7	0.791
	Heart disease		19.2	42.3	0.036
	Respiratory illness		11.5	11.5	1.000
	Diabetes mellitus		26.9	23.3	0.485
Initial response (%)	Steroid		21.8	15.4	0.672
	Early post-injury surgery		14.1	11.5	1.000
	Halo-vest		7.7	7.7	1.000
Surgical treatment	Surgical treatment (%)		71.8	53.8	0.148
	Post. decomp		26.2	25.0	0.755
	Post. fusion		33.8	56.3
	Post. decomp and fusion		32.3	12.5
	Ant. fusion		1.5	6.3
	Ant. decomp and fusion		6.2	0.0
	Ant. and Post.		0.0	0.0
	Post. and Ant.		0.0	0.0
	Operation time (min)		176.8 ± 70.8	173.0 ± 50.5	0.869
	Amount of blood loss		281.5 ± 354.0	226.3 ± 272.1	0.630

Abbreviations: TP, total protein; Alb, albumin; Hb, hemoglobin; OPLL, ossification of posterior longitudinal ligament; AIS, ASIA Impairment Scale; Post., posterior; Ant., anterior.

Risk Factors: Entire Cohort

In the multivariate analysis with early disability as the dependent variable, age at injury (P = .033; odds ratio [OR] 1.055), Alb at injury (P = .037; OR .509), blood glucose level (P = .022; OR 1.006), presence of cervical OPLL (P < .001; OR 4.152), anterior vertebral hematoma (P = .005; OR 3.226), and severe neurological symptoms (AIS A or B) (P < .001 OR 9.364) were independent risk factors (Table 3).

Table 3.

Logistic Regression Analysis of Risk Factors for Acute Respiratory Dysfunction in the Entire Cohort.

	Partial regression coefficient	Standard error	Wald	P-value	Odds ratio	Confidence interval
	Partial regression coefficient	Standard error	Wald	P-value	Odds ratio	Lower limit	Upper limit
Age at injury	0.054	0.025	4.536	0.033	1.055	1.004	1.109
Alb (g/dL)	−0.676	0.323	4.369	0.037	0.509	0.270	0.959
Blood glucose level	0.006	0.002	5.239	0.022	1.006	1.001	1.011
Cervical OPLL	1.424	0.371	14.736	<0.001	4.152	2.007	8.588
Anterior vertebral hematoma	1.171	0.418	7.854	0.005	3.226	1.422	7.318
AIS A or B	2.237	0.342	42.817	<0.001	9.364	4.792	18.300

Abbreviations: Alb, albumin; OPLL, ossification of posterior longitudinal ligament; AIS, ASIA Impairment Scale.

By contrast, in the multivariate analysis with severe respiratory dysfunction as the dependent variable, Alb at injury (P = .038; OR .228), and head injury (P = .048; OR 11.045) were identified as independent risk factors (Table 4).

Table 4.

Logistic Regression Analysis of Risk Factors for Worsening of Respiratory Dysfunction in the Entire Cohort.

	Partial regression coefficient	Standard error	Wald	P-value	Odds ratio	Confidence interval
	Partial regression coefficient	Standard error	Wald	P-value	Odds ratio	Lower limit	Upper limit
Alb (g/dL)	−1.479	0.779	3.603	0.038	0.228	0.050	1.049
Head injury	2.402	1.316	3.334	0.048	11.045	0.838	145.537

Abbreviations: Alb, albumin.

There was a total of 585 cases of cervical SCI without bone injury, of which 27 (4.6% of those analyzed) had early respiratory dysfunction. Of these 27 patients, 6 with severe disability required respiratory management for up to 6 months after injury and died of respiratory complications, and 21 patients had mild dysfunction who were successfully weaned from the ventilator (Figure 2). Figure 2.

Group Comparisons: Cohort Without Bone Injury

The comparison between the 2 groups with regard to acute respiratory dysfunction in the cohort without bone injury showed older age (P < .001); higher percentage of males (P = .025); lower total protein (P = .037) and Alb (P = .001); and higher incidence of severe paralysis (P < .001), prevalence of heart disease (P = .042), and percentage of early surgical cases (P < .001) (Table 5). There were no significant differences between severely injured and mild cases (Table 6).

Table 5.

Univariate Analysis of Demographics and Clinical Data of the Influence on Acute Respiratory Dysfunction in Patients without Bone Injury.

All cases	Item		No respiratory dysfunction	Respiratory dysfunction	P
			n = 558	n = 27
Patients’ background	Age at injury		75.2 ± 6.7	79.8 ± 7.1	<0.001
	Sex: Male (%)		70.8	92.6	0.025
	Height (cm)		160.4 ± 8.8	161.4 ± 9.4	0.614
	Weight (kg)		57.9 ± 11.0	57.7 ± 11.8	0.922
	Body mass index (kg/m²)		22.4 ± 3.5	22.5 ± 5.0	0.929
	Smoking history		22.6	22.2	1.000
Laboratory data	TP (g/dL)		6.7 ± 0.7	6.4 ± 0.7	0.037
	Alb (g/dL)		3.8 ± 0.7	3.3 ± 0.5	0.001
	Hb (g/dL)		13.0 ± 1.9	12.6 ± 1.9	0.281
	Blood glucose level (mg/dL)		139.1 ± 53.1	159.4 ± 55.7	0.097
	HbA1c (%)		6.4 ± 1.1	5.5 ± 0.9	0.056
Radiologic data	Cervical OPLL (%)		33.7	48.1	0.181
	Intramedullary signal change (%)		81.9	88.9	0.503
	Level of intramedullary signal change (%)	C1	2.9	4.0	0.213
		C2	2.9	8.0
		C3	45.1	56.0
		C4	28.9	28.0
		C5	17.4	4.0
		C6	2.3	0.0
		C7	0.4	0.0
	Anterior vertebral hematoma (%)		42.8	33.3	0.438
Neurological impairment scale	Spinal cord injury (%)		100	100	—
	AIS A		4.6	32.1	<0.001
	B		5.3	28.6
	C		33.4	35.7
	D		56.7	3.6
Complications (%)	Complicated		17.7	17.9	1.0
	Head injury		8.6	14.8	0.446
	Abdominal organ damage		0.0	0.0	—
	Pelvic fracture		0.2	3.7	0.169
	Vertebral artery injury		0.2	0.0	1.000
Concomitant diseases (%)	Cerebrovascular disease		9.0	7.4	1.000
	Dementia		4.3	7.4	0.774
	Heart disease		13.6	29.6	0.042
	Respiratory illness		4.5	7.4	0.812
	Diabetes mellitus		28.0	28.6	1.0
Initial response (%)	Steroid		21.5	25.9	0.760
	Early post-injury surgery		2.3	18.5	<0.001
	Halo-vest		0.5	3.7	0.451
Surgical treatment	Surgical treatment (%)		50.3	46.4	0.883
	Post. decomp		78.9	92.3	0.667
	Post. fusion		3.4	0.0
	Post. decomp and fusion		13.9	0.0
	Ant. fusion		1.0	0.0
	Ant. decomp and fusion		2.4	7.7
	Ant. and Post.		0.3	0.0
	Post. and Ant.		0.0	0.0
	Operation time (min)		139.9 ± 56.5	127.6 ± 44.5	0.439
	Amount of blood loss		135.4 ± 201.8	183.2 ± 171.8	0.402

Abbreviations: TP, total protein; Alb, albumin; Hb, hemoglobin; OPLL, ossification of posterior longitudinal ligament; AIS, ASIA Impairment Scale; Post., posterior; Ant., anterior.

Table 6.

Univariate Analysis of Demographics and Clinical Data on Respiratory Dysfunction Worsening in Patients without Bone Injury.

All cases	Item		Mild respiratory dysfunction	Severe respiratory dysfunction	P
			n = 21	n = 6
Patient background	Age at injury		78.7 ± 6.2	83.7 ± 9.0	0.133
	Sex: Male (%)		90.5	100	1.000
	Height (cm)		160.9 ± 12.4	163.3 ± 9.7	0.699
	Weight (kg)		60.0 ± 10.8	49.2 ± 10.7	0.059
	Body mass index (kg/m²)		23.7 ± 6.4	18.4 ± 3.3	0.094
	Smoking history		23.8	16.7	1.000
Laboratory data	TP (g/dL)		6.4 ± 0.7	6.3 ± 0.4	0.633
	Alb (g/dL)		3.3 ± 0.6	3.3 ± 0.3	0.946
	Hb (g/dL)		12.7 ± 2.1	12.3 ± 1.5	0.640
	Blood glucose level (mg/dL)		166.2 ± 86.8	118.7 ± 19.7	0.367
	HbA1c (%)		5.8 ± 1.0	4.8 ± 1.2	0.263
Radiologic data	Cervical OPLL (%)		52.4	33.3	0.719
	Intramedullary signal change (%)		90.5	83.3	1.000
	Level of intramedullary signal change (%)	C1	0.0	16.7	0.513
		C2	10.5	0.0
		C3	57.9	50.0
		C4	26.3	0.0
		C5	5.3	0.0
		C6	0.0	0.0
		C7	0.0	0.0
	Anterior vertebral hematoma (%)		33.3	33.3	1.000
Neurological impairment scale	Spinal cord injury (%)		100.0	100.0	—
	AIS A		33.3	33.3	0.320
	B		33.3	0
	C		33.3	33.3
	D		0.0	33.3
Complications (%)	Complicated		19.0	0.0	0.612
	Head injury		19.0	0.0	0.612
	Abdominal organ damage		0.0	0.0	—
	Pelvic fracture		4.8	0.0	1.000
	Vertebral artery injury		0.0	0.0	—
Concomitant diseases (%)	Cerebrovascular disease		9.5	0.0	1.000
	Dementia		4.8	16.7	0.922
	Heart disease		28.6	33.3	1.000
	Respiratory illness		9.5	0.0	1.000
	Diabetes mellitus		23.8	33.3	0.844
Initial response (%)	Steroid		23.8	33.3	0.633
	Early post-injury surgery		23.8	0.0	0.555
	Halo-vest		4.8	0.0	1.000
Surgical treatment	Surgical treatment (%)		57.1	16.7	0.198
Surgical treatment	Post. decomp		91.7	100	1.000
	Post. fusion		0.0	0.0
	Post. decomp and fusion		0.0	0.0
	Ant. fusion		0.0	0.0
	Ant. decomp and fusion		8.3	0.0
	Ant. and Post.		0.0	0.0
	Post. and Ant.		0.0	0.0
	Operation time (min)		134.2 ± 39.4	49.0	—
	Amount of blood loss		196.8 ± 171.9	20.0	—

Abbreviations: TP, total protein; Alb, albumin; Hb, hemoglobin; OPLL, ossification of posterior longitudinal ligament; AIS, ASIA Impairment Scale; Post., posterior; Ant., anterior.

Risk Factors: Cohort Without Bone Injury

In the multivariate analysis with early disability as the dependent variable, Alb at injury (P = .013; OR .236) and severe neurological symptoms (AIS A or B) (P < .001; OR 11.504) were independent risk factors (Table 7).

Multivariate analysis with severe respiratory dysfunction as the dependent variable did not reveal any independent risk factors.

Table 7.

Logistic Regression Analysis of Risk Factors for Acute Respiratory Dysfunction in Patients without Bone Injury.

	Partial regression coefficient	Standard error	Wald	P-value	Odds ratio	Confidence interval
	Partial regression coefficient	Standard error	Wald	P-value	Odds ratio	Lower limit	Upper limit
Alb (g/dL)	−1.443	0.581	6.169	0.013	0.236	0.076	0.738
AIS A or B	2.443	0.676	13.055	<0.001	11.504	3.058	43.285

Abbreviations: Alb, albumin; AIS, ASIA Impairment Scale.

Discussion

Various complications can occur after a cervical SCI, although the most frequent are respiratory complications.^4-8 Typical complications include atelectasis, pneumonia, and ventilatory failure. These complications often occur in the acute phase within 5 days of injury.¹ If the period of unstable respiratory status in the acute–subacute phase of injury can be weathered, then the respiratory status will subsequently stabilize. Thus, predicting the risk factors for intubation or tracheostomy in patients with cervical SCI is important.⁹ In this study, 7.8% of the total patients were classified as the respiratory insufficiency group early after injury. These figures range from 15.2% to 81%, and recent studies have noted that a relatively high percentage of these patients required tracheostomy.^1,10-13 The differing results may be due to the fact that the present study included approximately 30% of all fracture cases without neurological symptoms. The incidence of neurological disability was significantly lower in patients without neurological symptoms. The results indicated that in the entire cohort, the risk factors were age at injury, lower Alb, blood glucose level, presence of cervical OPLL, anterior vertebral hematoma, and severe neurological symptoms (AIS A or B). In addition, lower Alb, and head injury were selected as independent risk factors for long-term respiratory dysfunction. When the analysis of factors was limited to cervical SCI cases without cervical fracture, in addition to the aforementioned items, lower Alb and severe neurological symptoms were independent risk factors. Risk factors for respiratory dysfunction did not differ significantly between patients with and without bone injury.

Numerous studies have reported that complete paralysis is a risk factor for intubation or tracheostomy.^10,11 In this study, AIS A-B, complete motor paralysis was also an independent risk factor for respiratory dysfunction. Yugue et al¹⁰ reported that 18.8% of patients with AIS A upon admission had an improved level of paralysis (grade other than A) at the final follow-up, suggesting that the degree of paralysis at the time of injury may be useful in predicting respiratory failure.

Laboratory data suggest that blood glucose and Alb are useful predictors of respiratory impairment. Kobayakawa et al¹⁴ investigated the influence of hyperglycemia in acute SCI and revealed that hyperglycemia was associated with a worse functional outcome and was identified as a potential poor prognostic factor for SCI, irrespective of whether the subjects had a history of diabetes mellitus; hyperglycemia also resulted in a worse prognosis for motor function. The current study showed that hyperglycemia immediately after SCI may affect respiratory status and suggested that glycemic control is important for the prognosis of respiratory function in SCI, regardless of whether or not the patient has a history of diabetes. Diabetes mellitus and chronic obstructive pulmonary disease are both systemic inflammatory diseases, and the 2 conditions are related. Lawlor reported that lung function measures were inversely associated with insulin resistance and type 2 diabetes mellitus.¹⁵ Hypoalbuminemia has traditionally been used as a marker of poor health and nutritional status. Patients with cervical cord injury are undernourished due to the release of inflammatory cytokines and inflammatory agonists, in addition to impaired feeding and swallowing function. In hypoalbuminemia, pleural effusion may affect respiratory status. Respiratory failure due to anterior vertebral hematoma is a complication that should be considered in the event of damage to the cervical spine, regardless of the presence of neurological symptoms. In particular, the posterior pharyngeal gap, which is the space between the posterior wall of the pharynx and the vertebral body,¹⁶ can cause airway obstruction by spreading extensively and draining the anterior trachea once bleeding occurs.¹⁷ The causes of posterior pharyngeal gap hematoma include tears of the longissimus dorsi muscle and anterior longitudinal ligament due to hyperextension of the cervical spine, and damage to the vertebral artery branches.^18,19 Many elderly patients are taking antithrombotic drugs, which can increase the size of the hematoma, reported to occur even with minor trauma.²⁰ Airway obstruction by hematoma can be fatal; thus, it is important to secure the airway by tracheostomy or other methods. Because hematoma takes 2-4 weeks to disappear,¹⁷ it is necessary to maintain a secure airway. Cervical OPLL is associated with a high rate of ossification of the anterior longitudinal ligament or yellow ligament in the cervical or thoracolumbar spine. According to a report on the prevalence of spinal ligament ossification using CT,²¹ the prevalence of diffuse idiopathic skeletal hyperostosis (DISH) in healthy subjects is 12%. On the contrary, DISH was found in 48.7% of patients with cervical OPLL,²² which is a higher rate than that in healthy subjects. DISH is an independent vital prognostic factor in patients with cervical SCI, and the main cause of death in patients with DISH is pneumonia.²³ Although the presence of thoracic spine DISH was not evaluated in this study, it is possible that thoracic spine DISH was included in the OPLL cases, which may have resulted in respiratory dysfunction. In SCI, the respiratory muscles are paralyzed, resulting in decreased ventilatory capacity and decreased ability to clear the upper airway. In complete paralysis, lung capacity reduces to 40% of normal at the C4 injury level, 50% at C5, 60% at C6, and 70% at C7, resulting in decreased ventilatory capacity.²⁴ In the present study, of the cases with intramedullary signal changes, the area where the signal changes were most cephalad was evaluated but was not found to be a significant risk factor for respiratory dysfunction. In the acute phase of SCI, blurred hyperintensity on T2-weighted MRI is indicative of spinal cord contusion and edema, which is believed to indicate SCI.^25-27 However, Tanaka et al⁹ reported that the level of injury on MRI and the neurological level of injury did not necessarily coincide, suggesting it is an unsuitable assessment method. Tanaka et al¹⁵ also indicated that severe SCI and T2-weighted images showing hypointensity within hyperintensity can suggest “hematoma-like change” and a significant risk factor for tracheotomy. Similar signal changes need to be investigated in the future.

The efficacy of early surgery has been controversial, especially in cervical SCI without cervical fracture.^28-30 In this study, there were significantly more cases of surgery in the early respiratory failure group, although it was not an independent risk factor in all cases or in those without bone injury. This may be due to the fact that some patients were difficult to extubate after intraoperative tracheal intubation or were not extubated to avoid risk.

Limitation

This study had several limitations. First, this was a retrospective study, and detailed imaging evaluation was not available. Second, no clear criteria were set for tracheostomy eligibility, which can vary between institutions and physicians. Third, the study did not consider the patients’ original respiratory status and other details of their history, and not all long-term cases could be monitored for several years.

Conclusion

This large-scale study involved 78 participating institutions and over 1300 patients in Japan. Significantly, older age, hypoalbuminemia, blood glucose level, cervical OPLL, anterior vertebral hematoma, and severe neurological symptoms were identified as independent risk factors, and we believe that these characteristics are important indicators when considering early tracheostomy and ventilator management.

Footnotes

Acknowledgments

The submitted manuscript does not contain any information about medical drugs.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iDs

Ryosuke Hirota

Takeshi Sasagawa

Kei Ando

Hiroaki Nakashima

Naoki Segi

Kota Watanabe

Tomohiro Yamada

Hidenori Suzuki

Yasuaki Imajo

Shota Ikegami

Masashi Uehara

Koji Tamai

Gen Inoue

Yasushi Oshima

Toshitaka Yoshii

Tetsuro Ohba

Masayuki Ishihara

Shiro Imagama

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Prognostic Factors for Respiratory Dysfunction for Cervical Spinal Cord Injury and/or Cervical Fractures in Elderly Patients: A Multicenter Survey

Abstract

Study design

Objective

Methods

Results

Conclusion

Keywords

Introduction

Materials and Methods

Informed Consent

Patient Population

Collected Data

Statistical Analysis

Results

Patient Characteristics

Group Comparisons: Entire Cohort

Risk Factors: Entire Cohort

Group Comparisons: Cohort Without Bone Injury

Risk Factors: Cohort Without Bone Injury

Discussion

Limitation

Conclusion

Footnotes

Acknowledgments

Declaration of Conflicting Interests

Funding

ORCID iDs

References