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Study of Safety & Effectiveness of PRESTIGE® LP Cervical Disc vs. Anterior Cervical Fusion in Cervical DDD

A Prospective, Multicenter, Controlled Clinical Trial of an Artificial Cervical Disc LP at a Single Level for Symptomatic Cervical Disc Disease

Status
Completed
Phases
Phase 3
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00667459
Enrollment
280
Registered
2008-04-28
Start date
2005-01-31
Completion date
2014-06-30
Last updated
2023-06-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cervical Degenerative Disc Disease

Keywords

Cervical Disc

Brief summary

The purpose of this clinical trial is to evaluate the safety and effectiveness of the PRESTIGE® LP Cervical Disc as a method of treating patients with symptoms of cervical degenerative disc disease at a single level from C3-C4 to C6-C7.

Detailed description

This pivotal clinical trial was conducted to compare treatment data of the investigational implant device,the PRESTIGE® LP Cervical Disc, with a control patient group receiving a plate. The PRESTIGE® LP Cervical Disc devices were implanted using an anterior surgical approach. Data from control patients receiving anterior cervical discectomy and fusion with an ATLANTIS Anterior Cervical Plate from the initial Artificial Cervical Disc study (NCT00642876) were compared as both treatment groups receive single-level surgical treatment from C3-C4 to C6-C7 for symptomatic cervical degenerative disc disease.

Interventions

DEVICEPRESTIGE® LP Cervical Disc

The PRESTIGE® LP Cervical Disc was inserted into the intervertebral disc space of the cervical spine using the anterior surgical approach.

DEVICEATLANTIS Anterior Cervical Plate

Anterior cervical discectomy and fusion with ATLANTIS plate for control group

Sponsors

Medtronic Spinal and Biologics
Lead SponsorINDUSTRY

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Has cervical degenerative disc disease as defined as: intractable radiculopathy and/or myelopathy with at least one of the following items producing symptomatic nerve root and/or spinal cord compression that is documented by patient history: a) herniated disc; b) osteophyte formation * One level requiring surgical treatment * C3-C4 disc to C6-C7 disc level involvement * Unresponsive to non-operative treatment for six weeks or presence of progressive symptoms or signs of cord compression * No previous surgical procedures at the involved level or any planned surgical procedure at the involved or adjacent level. * Preop Neck Disability index score ≥ 30 * Preop Neck Pain score of ≥ 20 based on the Preop Neck & Arm Pain Questionnaire * Not pregnant at time of surgery * Willing and able to comply with study plan and able to understand and sign patient informed consent

Exclusion criteria

* Any other cervical spinal condition requiring surgical treatment at the involved level * Documented or diagnosed cervical instability defined by radiographs showing 1. Sagittal plane translation \> 3.5mm or 2. Sagittal plane angulation \> 20 degrees. * More than one cervical level requiring surgery * A fused level adjacent to the level to be treated * Severe pathology of the facet joint of involved bodies * Previous surgery at the involved level * Previously diagnosed osteopenia or osteomalacia * Any of the following that may be associated with an osteoporosis diagnosis (if Yes to any of these, a DEXA Scan will be required to determine eligibility) 1. Postmenopausal non-Black female over 60 years of age and weighs less than 140 pounds 2. Postmenopausal female that has sustained a non-traumatic hip, spine, or wrist fracture 3. Male over the age of 70 4. Male over the age of 60 that has sustained a non-traumatic hip or spine fracture. If the level of Bone Mineral Density is a T score of -3.5 or lower or a T score of -2.5 or lower with the vertebral crush fracture, then the patient is excluded. * Presence of spinal metastases * Overt or active bacterial infection, either local or systemic * Severe insulin dependent diabetes * Chronic or acute renal failure or history of renal disease * Temperature \> 101º F oral at surgery * Documented allergy to stainless steel, titanium or a titanium alloy * Mentally incompetent * Is a prisoner * Is pregnant * Is an alcohol and/or drug abuser * Has received drugs which may interfere with bone metabolism within 2 weeks prior to the planned surgery date (steroids, methotrexate), excluding routine preop anti-inflammatories) * A history of endocrine or metabolic disorder known to affect osteogenesis * A condition that requires postop medications that interfere with the stability of the implant (steroids). This does not include low dose aspirin therapy. * Received treatment with an investigational therapy within 28 days prior to surgery or planned for 16 weeks following implantation.

Design outcomes

Primary

MeasureTime frameDescription
Rate of Overall Success24 monthsRate of overall success is reported as the percentage of participants who met all of the following criteria: 1. Postoperative Neck Disability Index score improvement of at least a 15-points from preoperative; 2. Maintenance or improvement in neurological status; 3. Disc height success which was defined as either the anterior or posterior measurements meeting the criteria of Postoperative Height - 6 Week Postoperative Height ≥ -2mm; 4. No serious adverse event classified as implant associated or implant/surgical procedure associated; and 5. No secondary surgical procedure classified as a failure.

Secondary

MeasureTime frameDescription
Success Rate of Neck Disability Index24 monthsSuccess rate of Neck Disability Index is reported as the percentage of participants whose neck disability index score met: Pre-treatment Score - Post-treatment Score ≥ 15.
Success Rate of Neurological Status24 monthsSuccess rate of neurological status is reported as the percentage of participants who met neurological success defined as maintenance or improvement in all sections (motor, sensory, and reflexes) for the time period evaluated. In order for a section to be considered a success, each element in the section must remain the same or improve from the time of the preoperative evaluation to the time period evaluated.
Rate of Disc Height Success24 monthsDisc height was assessed by determining the Functional Spinal Unit (FSU) height. The rate of disc height success is reported as the percentage of participants whose disc height for each level based on either the anterior or posterior measurements met the following criterion: Postoperative Height - 6 Week Postoperative Height \>= -2mm
Neck Pain Success Rate24 monthsNumerical rating scales were used to evaluate pain intensity and frequency. The pain score (0 min, 100 max) was derived by multiplying the numerical rating scores from the pain intensity (0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be.) and frequency scales (0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time). Neck pain success rate is reported as the percentage of participants whose neck pain improvement met: Preoperative Score - Postoperative Score \> 0.
Arm Pain Success Rate24 monthsNumerical rating scales were used to evaluate pain intensity and frequency. The pain score (0 min, 100 max) was derived by multiplying the numerical rating scores from the pain intensity (0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be.) and frequency scales (0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time). Arm pain success rate is reported as the percentage of participants whose arm pain improvement met: Preoperative Score - Postoperative Score \> 0.
Success Rate of SF-36 PCS24 monthsSuccess rate of SF-36 Health Survey include two components: the success rate of a physical component summary (PCS) and the success rate of a mental component summary (MCS). The success of SF-36 PCS was defined as: Post Score - Pre Score \>= 0. The Success rate of SF-36 PCS is reported as the percentage of the participants who were classified as a success for SF-36 PCS.
Hospital StayDuring the time of hospital stay, average of 1 day.
Success Rate of SF-36 MCS24 monthsSuccess rate of SF-36 Health Survey include two components: the success rate of a physical component summary (PCS) and the success rate of a mental component summary (MCS). The success of SF-36 MCS were defined as: Post Score - Pre Score \>= 0. The Success rate of SF-36 MCS is reported as the percentage of the participants who were classified as a success for SF-36 MCS.
Gait Success Rate24 monthsPatient's gait was assessed by using Nurick's classification, and indicated either as normal or graded on a scale of 0 to 5. Success was defined as maintenance or improvement in the postoperative status as compared to the preoperative condition: Preoperative Score - Postoperative Score \>= 0. The gait success rate is reported as the percentage of participants who had gait success.
Operative TimeTime of operation, approximately 1.5 hrs.Operative time was recorded from skin incision to wound closure.
Blood LossDuring the time of operation, approximately 1.5 hours.
Rate of Secondary Surgery at Index Level24 months post-operationSecondary surgical procedures at the index level included revisions, removals, supplemental fixations and reoperations. Rate of secondary surgery at index level is reported as percentage of patients who had secondary surgeries at index level.
Change of Neck Disability Index Score From BaselineBaseline and 24 months post-operationThe self-administered Neck Disability Index (NDI) Questionnaire was used to assess patient neck pain and ability to function. The NDI scale ranges from 0-100. The best score is 0 (no disability) and worst is 100 (maximum disability). Change of NDI was defined as NDI at 24 month minus NDI at baseline.
Change of Neck Pain Score From BaselineBaseline and 24 months post-operationNumerical rating scales were used to evaluate neck pain intensity and frequency. Patients rated their neck pain intensity on a scale from 0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be. Similarly, patients recorded their neck pain frequency on a scale from 0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time. The total neck pain score (0 to100) was the product of pain intensity and frequency scores. Change of neck pain score was defined as neck pain score at 24 months minus neck pain score at baseline.
Change of Arm Pain Score From BaselineBaseline and 24 months post-operationNumerical rating scales were also used to evaluate arm pain intensity and frequency. Patients rated their arm pain intensity on a scale from 0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be. Similarly, patients recorded their arm pain frequency on a scale from 0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time. The total arm pain score (0 to 100) was the product of pain intensity and frequency scores. Change of arm pain score was defined as arm pain score at 24 months minus arm pain score at baseline.
Change of General Health Status -- SF-36 PCS From BaselineBaseline and 24 months post-operationThe Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) was used to assess general health status. The SF-36 results were summarized into two components, a physical component summary (PCS) and a mental component summary (MCS). The score for PCS was between 0 and 100, with higher scores denoting better quality of life. Change of SF-36 PCS score was defined as PCS score at 24 months minus PCS score at baseline.
Change of General Health Status -- SF-36 MCS From BaselineBaseline and 24 months post-operationThe Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) was used to assess general health status. The SF-36 results were summarized into two components, a physical component summary (PCS) and a mental component summary (MCS). The score for MCS was between 0 and 100, with higher scores denoting better quality of life. Change of SF-36 MCS score was defined as MCS score at 24 months minus MCS score at baseline.

Countries

United States

Participant flow

Participants by arm

ArmCount
Investigational
PRESTIGE® LP Cervical Disc
280
Control
Control patients who received ACDF fusion treatment from a previous IDE trial (NCT00642876).
265
Total545

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyDeath02
Overall StudyLost to Follow-up843

Baseline characteristics

CharacteristicControlTotalInvestigational
Age, Continuous43.9 years
STANDARD_DEVIATION 8.8
44.2 years
STANDARD_DEVIATION 8.8
44.5 years
STANDARD_DEVIATION 8.8
Alcohol Used
No
124 participants254 participants130 participants
Alcohol Used
Yes
141 participants291 participants150 participants
Education Level
< High School
14 participants29 participants15 participants
Education Level
> High School
173 participants379 participants206 participants
Education Level
High School
77 participants134 participants57 participants
Education Level
Unknown
1 participants3 participants2 participants
Height67.5 in.
STANDARD_DEVIATION 4.2
67.6 in.
STANDARD_DEVIATION 4.2
67.7 in.
STANDARD_DEVIATION 4.1
Marital Status
Divorced
24 participants66 participants42 participants
Marital Status
Married
204 participants393 participants189 participants
Marital Status
Separated
3 participants10 participants7 participants
Marital Status
Single
32 participants72 participants40 participants
Marital Status
Widowed
2 participants4 participants2 participants
Preop Work Status
No
99 participants191 participants92 participants
Preop Work Status
Yes
166 participants354 participants188 participants
Race/Ethnicity, Customized
Asian
2 participants2 participants0 participants
Race/Ethnicity, Customized
Black
13 participants20 participants7 participants
Race/Ethnicity, Customized
Caucasian
243 participants514 participants271 participants
Race/Ethnicity, Customized
Hispanic
6 participants7 participants1 participants
Race/Ethnicity, Customized
Other
1 participants2 participants1 participants
Sex: Female, Male
Female
143 Participants294 Participants151 Participants
Sex: Female, Male
Male
122 Participants251 Participants129 Participants
Tobacco Used
No
173 participants379 participants206 participants
Tobacco Used
Yes
92 participants166 participants74 participants
Unresolved Spinal Litigation
No
233 participants479 participants246 participants
Unresolved Spinal Litigation
Yes
32 participants66 participants34 participants
Weight184.7 lbs.
STANDARD_DEVIATION 41.5
185.8 lbs.
STANDARD_DEVIATION 43.3
186.9 lbs.
STANDARD_DEVIATION 45
Worker's Compensation Case
No
230 participants478 participants248 participants
Worker's Compensation Case
Yes
35 participants67 participants32 participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
242 / 280211 / 265
serious
Total, serious adverse events
133 / 28098 / 265

Outcome results

Primary

Rate of Overall Success

Rate of overall success is reported as the percentage of participants who met all of the following criteria: 1. Postoperative Neck Disability Index score improvement of at least a 15-points from preoperative; 2. Maintenance or improvement in neurological status; 3. Disc height success which was defined as either the anterior or posterior measurements meeting the criteria of Postoperative Height - 6 Week Postoperative Height ≥ -2mm; 4. No serious adverse event classified as implant associated or implant/surgical procedure associated; and 5. No secondary surgical procedure classified as a failure.

Time frame: 24 months

Population: The primary analysis dataset for this study consists of all subjects who received study devices and completed the initial surgical procedures. The analysis was based on the observed data and missing data due to lost-to-follow-ups were imputed. For the primary endpoint, the analysis consists of 226 investigational subjects and 171 control subjects.

ArmMeasureValue (NUMBER)
InvestigationalRate of Overall Success70.4 percentage of participants
ControlRate of Overall Success63.2 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P(p1 - p0 \> -d \| data) be at least 0.95, then the null noninferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 0.99595% CI: [-0.07, 0.134]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated. If the posterior probability is at least 0.95, a claim of superiority can be made.p-value: 0.736Bayesian logistic model
Secondary

Arm Pain Success Rate

Numerical rating scales were used to evaluate pain intensity and frequency. The pain score (0 min, 100 max) was derived by multiplying the numerical rating scores from the pain intensity (0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be.) and frequency scales (0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time). Arm pain success rate is reported as the percentage of participants whose arm pain improvement met: Preoperative Score - Postoperative Score \> 0.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable arm pain success status at 24 months, which leads to 268 subjects in the investigational group and 219 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalArm Pain Success Rate96.3 percentage of participants
ControlArm Pain Success Rate95.0 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P (p1 - p0 \> -d \| data) be at least 0.95, then the null non-inferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 195% CI: [-0.018, 0.058]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated.p-value: 0.845Bayesian logistic model
Secondary

Blood Loss

Time frame: During the time of operation, approximately 1.5 hours.

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable information for blood loss, which leads to 278 subjects in the investigational group and 263 subjects in the control group.

ArmMeasureValue (MEAN)Dispersion
InvestigationalBlood Loss50.5 mlStandard Deviation 73.5
ControlBlood Loss57.5 mlStandard Deviation 68.1
Comparison: Superiority comparison of the blood loss in two treatment groups was assessed.p-value: 0.769Bayesian logistic model
Secondary

Change of Arm Pain Score From Baseline

Numerical rating scales were also used to evaluate arm pain intensity and frequency. Patients rated their arm pain intensity on a scale from 0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be. Similarly, patients recorded their arm pain frequency on a scale from 0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time. The total arm pain score (0 to 100) was the product of pain intensity and frequency scores. Change of arm pain score was defined as arm pain score at 24 months minus arm pain score at baseline.

Time frame: Baseline and 24 months post-operation

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable arm pain score at both baseline and 24 months, which leads to 268 subjects in the investigational group and 219 subjects in the control group.

ArmMeasureGroupValue (MEAN)Dispersion
InvestigationalChange of Arm Pain Score From BaselineArm pain score at baseline (n=280, 264)59.6 units on a scaleStandard Deviation 26.3
InvestigationalChange of Arm Pain Score From BaselineArm pain score at 24 months (n=268, 220)8.5 units on a scaleStandard Deviation 18.3
InvestigationalChange of Arm Pain Score From BaselineArm pain score change (n=268, 219)-52.0 units on a scaleStandard Deviation 31.4
ControlChange of Arm Pain Score From BaselineArm pain score at baseline (n=280, 264)62.4 units on a scaleStandard Deviation 28.5
ControlChange of Arm Pain Score From BaselineArm pain score at 24 months (n=268, 220)14.2 units on a scaleStandard Deviation 24.3
ControlChange of Arm Pain Score From BaselineArm pain score change (n=268, 219)-48.0 units on a scaleStandard Deviation 32.7
Secondary

Change of General Health Status -- SF-36 MCS From Baseline

The Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) was used to assess general health status. The SF-36 results were summarized into two components, a physical component summary (PCS) and a mental component summary (MCS). The score for MCS was between 0 and 100, with higher scores denoting better quality of life. Change of SF-36 MCS score was defined as MCS score at 24 months minus MCS score at baseline.

Time frame: Baseline and 24 months post-operation

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable MCS score at both baseline and 24 months, which leads to 264 subjects in the investigational group and 216 subjects in the control group.

ArmMeasureGroupValue (MEAN)Dispersion
InvestigationalChange of General Health Status -- SF-36 MCS From BaselineSF-36 MCS at baseline (n=279, 263)44.5 units on a scaleStandard Deviation 11.5
InvestigationalChange of General Health Status -- SF-36 MCS From BaselineSF-36 MCS at 24 months (n=265, 218)52.6 units on a scaleStandard Deviation 9.6
InvestigationalChange of General Health Status -- SF-36 MCS From BaselineSF-36 MCS change (n=264, 216)8.1 units on a scaleStandard Deviation 12.3
ControlChange of General Health Status -- SF-36 MCS From BaselineSF-36 MCS at baseline (n=279, 263)42.7 units on a scaleStandard Deviation 12.4
ControlChange of General Health Status -- SF-36 MCS From BaselineSF-36 MCS at 24 months (n=265, 218)50.2 units on a scaleStandard Deviation 11.1
ControlChange of General Health Status -- SF-36 MCS From BaselineSF-36 MCS change (n=264, 216)7.2 units on a scaleStandard Deviation 13.9
Secondary

Change of General Health Status -- SF-36 PCS From Baseline

The Medical Outcomes Study 36-Item Short Form Health Survey (SF-36) was used to assess general health status. The SF-36 results were summarized into two components, a physical component summary (PCS) and a mental component summary (MCS). The score for PCS was between 0 and 100, with higher scores denoting better quality of life. Change of SF-36 PCS score was defined as PCS score at 24 months minus PCS score at baseline.

Time frame: Baseline and 24 months post-operation

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable PCS score at both baseline and 24 months, which leads to 264 subjects in the investigational group and 216 subjects in the control group.

ArmMeasureGroupValue (MEAN)Dispersion
InvestigationalChange of General Health Status -- SF-36 PCS From BaselineSF-36 PCS at baseline (n=279, 263)32.2 units on a scaleStandard Deviation 7.4
InvestigationalChange of General Health Status -- SF-36 PCS From BaselineSF-36 PCS at 24 months (n=265, 218)46.6 units on a scaleStandard Deviation 11.4
InvestigationalChange of General Health Status -- SF-36 PCS From BaselineSF-36 PCS change (n=264, 216)14.3 units on a scaleStandard Deviation 11.6
ControlChange of General Health Status -- SF-36 PCS From BaselineSF-36 PCS at baseline (n=279, 263)32.0 units on a scaleStandard Deviation 7.5
ControlChange of General Health Status -- SF-36 PCS From BaselineSF-36 PCS at 24 months (n=265, 218)44.4 units on a scaleStandard Deviation 12
ControlChange of General Health Status -- SF-36 PCS From BaselineSF-36 PCS change (n=264, 216)11.9 units on a scaleStandard Deviation 10.9
Secondary

Change of Neck Disability Index Score From Baseline

The self-administered Neck Disability Index (NDI) Questionnaire was used to assess patient neck pain and ability to function. The NDI scale ranges from 0-100. The best score is 0 (no disability) and worst is 100 (maximum disability). Change of NDI was defined as NDI at 24 month minus NDI at baseline.

Time frame: Baseline and 24 months post-operation

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable NDI score at both baseline and 24 months, which leads to 270 subjects in the investigational group and 219 subjects in the control group.

ArmMeasureGroupValue (MEAN)Dispersion
InvestigationalChange of Neck Disability Index Score From BaselineNDI at baseline (n=280, 264)55.5 units on a scaleStandard Deviation 14.7
InvestigationalChange of Neck Disability Index Score From BaselineNDI at 24 months (n=270, 220)15.6 units on a scaleStandard Deviation 18.3
InvestigationalChange of Neck Disability Index Score From BaselineNDI change (n=270, 219)-39.7 units on a scaleStandard Deviation 21
ControlChange of Neck Disability Index Score From BaselineNDI at baseline (n=280, 264)56.4 units on a scaleStandard Deviation 15.9
ControlChange of Neck Disability Index Score From BaselineNDI at 24 months (n=270, 220)22.4 units on a scaleStandard Deviation 21.5
ControlChange of Neck Disability Index Score From BaselineNDI change (n=270, 219)-33.9 units on a scaleStandard Deviation 21.8
Secondary

Change of Neck Pain Score From Baseline

Numerical rating scales were used to evaluate neck pain intensity and frequency. Patients rated their neck pain intensity on a scale from 0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be. Similarly, patients recorded their neck pain frequency on a scale from 0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time. The total neck pain score (0 to100) was the product of pain intensity and frequency scores. Change of neck pain score was defined as neck pain score at 24 months minus neck pain score at baseline.

Time frame: Baseline and 24 months post-operation

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable neck pain score at both baseline and 24 months, which leads to 270 subjects in the investigational group and 219 subjects in the control group.

ArmMeasureGroupValue (MEAN)Dispersion
InvestigationalChange of Neck Pain Score From BaselineNeck Pain at baseline (n=280, 264)67.0 units on a scaleStandard Deviation 20.8
InvestigationalChange of Neck Pain Score From BaselineNeck Pain at 24 months (n=270, 220)10.6 units on a scaleStandard Deviation 19.2
InvestigationalChange of Neck Pain Score From BaselineNeck Pain Change (n=270, 219)-56.6 units on a scaleStandard Deviation 28.2
ControlChange of Neck Pain Score From BaselineNeck Pain at baseline (n=280, 264)69.3 units on a scaleStandard Deviation 21.5
ControlChange of Neck Pain Score From BaselineNeck Pain at 24 months (n=270, 220)16.6 units on a scaleStandard Deviation 24.4
ControlChange of Neck Pain Score From BaselineNeck Pain Change (n=270, 219)-52.1 units on a scaleStandard Deviation 28.3
Secondary

Gait Success Rate

Patient's gait was assessed by using Nurick's classification, and indicated either as normal or graded on a scale of 0 to 5. Success was defined as maintenance or improvement in the postoperative status as compared to the preoperative condition: Preoperative Score - Postoperative Score \>= 0. The gait success rate is reported as the percentage of participants who had gait success.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable gait success status at 24 months, which leads to 270 subjects in the investigational group and 220 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalGait Success Rate99.3 percentage of participants
ControlGait Success Rate99.5 percentage of participants
Secondary

Hospital Stay

Time frame: During the time of hospital stay, average of 1 day.

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable information for hospital stay, which leads to 280 subjects in the investigational group and 265 subjects in the control group.

ArmMeasureValue (MEAN)Dispersion
InvestigationalHospital Stay1.0 daysStandard Deviation 0.5
ControlHospital Stay1.0 daysStandard Deviation 0.5
Comparison: Superiority comparison of the hospital stay in two treatment groups was assessed.p-value: 0.273Bayesian logistic model
Secondary

Neck Pain Success Rate

Numerical rating scales were used to evaluate pain intensity and frequency. The pain score (0 min, 100 max) was derived by multiplying the numerical rating scores from the pain intensity (0-10, with a score of 0 representing no pain and a score of 10 representing pain as bad as it could be.) and frequency scales (0-10, with a score of 0 being pain none of the time and a score of 10 being pain all of the time). Neck pain success rate is reported as the percentage of participants whose neck pain improvement met: Preoperative Score - Postoperative Score \> 0.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable neck pain success status at 24 months, which leads to 270 subjects in the investigational group and 219 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalNeck Pain Success Rate96.3 percentage of participants
ControlNeck Pain Success Rate97.3 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P (p1 - p0 \> -d \| data) be at least 0.95, then the null non-inferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 195% CI: [-0.043, 0.023]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated.p-value: 0.273Bayesian logistic model
Secondary

Operative Time

Operative time was recorded from skin incision to wound closure.

Time frame: Time of operation, approximately 1.5 hrs.

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable information for operative time, which leads to 280 subjects in the investigational group and 265 subjects in the control group.

ArmMeasureValue (MEAN)Dispersion
InvestigationalOperative Time1.5 hrsStandard Deviation 0.6
ControlOperative Time1.4 hrsStandard Deviation 0.5
Comparison: Superiority comparison of the operative time in two treatment groups was assessed.p-value: 0.013Bayesian logistic model
Secondary

Rate of Disc Height Success

Disc height was assessed by determining the Functional Spinal Unit (FSU) height. The rate of disc height success is reported as the percentage of participants whose disc height for each level based on either the anterior or posterior measurements met the following criterion: Postoperative Height - 6 Week Postoperative Height \>= -2mm

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable disc height success (FSU success) status at 24 months, which leads to 224 subjects in the investigational group and 164 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalRate of Disc Height Success91.5 percentage of participants
ControlRate of Disc Height Success95.1 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P (p1 - p0 \> -d \| data) be at least 0.95, then the null non-inferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 0.99295% CI: [-0.085, 0.021]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated.p-value: 0.097Bayesian logistic model
Secondary

Rate of Secondary Surgery at Index Level

Secondary surgical procedures at the index level included revisions, removals, supplemental fixations and reoperations. Rate of secondary surgery at index level is reported as percentage of patients who had secondary surgeries at index level.

Time frame: 24 months post-operation

Population: For this endpoint, the analysis consists of all subjects in the primary analysis dataset with 280 subjects in the investigational control and 265 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalRate of Secondary Surgery at Index Level5.0 percentage of participants
ControlRate of Secondary Surgery at Index Level7.9 percentage of participants
Secondary

Success Rate of Neck Disability Index

Success rate of Neck Disability Index is reported as the percentage of participants whose neck disability index score met: Pre-treatment Score - Post-treatment Score ≥ 15.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable NDI success status at 24 months, which leads to 270 subjects in the investigational group and 219 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalSuccess Rate of Neck Disability Index87.8 percentage of participants
ControlSuccess Rate of Neck Disability Index80.8 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the success rates of NDI in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P(p1 - p0 \> -d \| data) be at least 0.95, then the null noninferiority hypothesis will be rejected, and non-inferiority of the investigational group will be claimed for this endpoint.p-value: 195% CI: [-0.02, 0.118]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated.p-value: 0.912Bayesian logistic model
Secondary

Success Rate of Neurological Status

Success rate of neurological status is reported as the percentage of participants who met neurological success defined as maintenance or improvement in all sections (motor, sensory, and reflexes) for the time period evaluated. In order for a section to be considered a success, each element in the section must remain the same or improve from the time of the preoperative evaluation to the time period evaluated.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable neurological success status at 24 months, which leads to 270 subjects in the investigational group and 220 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalSuccess Rate of Neurological Status93.3 percentage of participants
ControlSuccess Rate of Neurological Status83.6 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P (p1 - p0 \> -d \| data) be at least 0.95, then the null non-inferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 195% CI: [0.038, 0.161]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated.p-value: 0.999Bayesian logistic model
Secondary

Success Rate of SF-36 MCS

Success rate of SF-36 Health Survey include two components: the success rate of a physical component summary (PCS) and the success rate of a mental component summary (MCS). The success of SF-36 MCS were defined as: Post Score - Pre Score \>= 0. The Success rate of SF-36 MCS is reported as the percentage of the participants who were classified as a success for SF-36 MCS.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable SF-36 MCS success status at 24 months, which leads to 264 subjects in the investigational group and 216 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalSuccess Rate of SF-36 MCS77.7 percentage of participants
ControlSuccess Rate of SF-36 MCS69.4 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P (p1 - p0 \> -d \| data) be at least 0.95, then the null non-inferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 195% CI: [0.02, 0.19]Bayesian logistic model
Comparison: Superiority comparison of success rates in two treatment groups was a secondary objective of this trial. Superiority analysis was performed if non-inferiority was demonstrated.p-value: 0.992Bayesian logistic model
Secondary

Success Rate of SF-36 PCS

Success rate of SF-36 Health Survey include two components: the success rate of a physical component summary (PCS) and the success rate of a mental component summary (MCS). The success of SF-36 PCS was defined as: Post Score - Pre Score \>= 0. The Success rate of SF-36 PCS is reported as the percentage of the participants who were classified as a success for SF-36 PCS.

Time frame: 24 months

Population: For this endpoint, the analysis consists of subjects in the primary analysis dataset with evaluable SF-36 PCS success status at 24 months, which leads to 264 subjects in the investigational group and 216 subjects in the control group.

ArmMeasureValue (NUMBER)
InvestigationalSuccess Rate of SF-36 PCS83.7 percentage of participants
ControlSuccess Rate of SF-36 PCS86.1 percentage of participants
Comparison: The null hypothesis H0: p1 + d ≤ p0, and the alternative hypothesis is Ha: p1 + d \> p0 where P0 and P1 are the overall success rates in the control group and the investigational group respectively, and d is the non-inferiority margin. The analyses used Bayesian methodology. Should the posterior probability P (p1 - p0 \> -d \| data) be at least 0.95, then the null non-inferiority hypothesis will be rejected, and non-inferiority of the investigational device to the control will be claimed.p-value: 0.93695% CI: [-0.113, 0.021]Bayesian logistic model

Source: ClinicalTrials.gov · Data processed: Mar 4, 2026