Abstract
Background:
A bridge-enhanced anterior cruciate ligament (ACL) repair (BEAR) procedure places an extracellular matrix implant, combined with autologous whole blood, in the gap between the torn ends of the ligament at the time of suture repair to stimulate healing. Prior studies have suggested that white blood cell (WBC) and platelet concentrations significantly affect the healing of other musculoskeletal tissues.
Purpose/Hypothesis:
The purpose of this study was to determine whether concentrations of various blood cell types placed into a bridging extracellular matrix implant at the time of ACL repair would have a significant effect on the healing ligament cross-sectional area or tissue organization (as measured by signal intensity). We hypothesized that patients with higher physiologic platelet and lower WBC counts would have improved healing of the ACL on magnetic resonance imaging (MRI) (higher cross-sectional area and/or lower signal intensity) 6 months after surgery.
Study Design:
Cohort study; Level of evidence, 2.
Methods:
A total of 61 patients underwent MRI at 6 months after bridge-enhanced ACL repair as part of the BEAR II trial. The normalized signal intensity and average cross-sectional area of the healing ligament were measured from a magnetic resonance stack obtained using a gradient echo sequence. The results were stratified by sex, and univariate and multivariate regression analyses determined significant correlations between blood cell concentrations on these 2 magnetic resonance parameters.
Results:
In unadjusted analyses, older age and male sex were associated with greater healing ligament cross-sectional area (P < .04) but not signal intensity (P > .15). Adjusted multivariable analyses indicated that in female patients, a higher monocyte concentration correlated with a higher ACL cross-sectional area (β = 1.01; P = .049). All other factors measured, including the physiologic concentration of platelets, neutrophils, lymphocytes, basophils, and immunoglobulin against bovine gelatin, were not significantly associated with either magnetic resonance parameter in either sex (P > .05 for all).
Conclusion:
Although older age, male sex, and monocyte concentration in female patients were associated with greater healing ligament cross-sectional area, signal intensity of the healing ligament was independent of these factors. Physiologic platelet concentration did not have any significant effect on cross-sectional area or signal intensity of the healing ACL at 6 months after bridge-enhanced ACL repair in this cohort. Given these findings, factors other than the physiologic platelet concentration and total WBC concentration may be more important in the rate and amount of ACL healing after bridge-enhanced ACL repair.
Keywords: ACL, ACL repair, MRI, signal intensity, complete blood cell count, white blood cell count
A significant amount of literature has been published in recent years on the surgical treatment of a torn anterior cruciate ligament (ACL). The current gold standard of surgical treatment for an ACL tear is an ACL reconstruction with tendon graft. Although ACL reconstruction is usually successful in restoring stability of the knee joint, it does not reduce the risk for posttraumatic osteoarthritis.38–40,44,57 Alternatively, traditional suture repair of a torn ACL results in a high failure rate and increased knee laxity postoperatively.29,32,51 Additional studies have suggested that these unfavorable outcomes of ACL primary repair may be due to the premature loss of a blood clot between the 2 torn ends of the ACL, as well as a lack of a bridging tissue scaffold to enhance healing.50
This biological observation has led to interest in evaluating a bridge-enhanced ACL repair (BEAR) procedure, where the suture repair is supplemented with an extracellular matrix implant saturated with autologous blood45,47 and placed in the gap between the 2 torn ACL ends at the time of surgery. The blood-laden implant provides an environment and structure to facilitate healing of the ACL. The safety and effectiveness of this procedure have been evaluated in preclinical models34,45,55,58 and in an early clinical cohort study.34,48,49 However, the effects of the concentration of specific cell types in the autologous whole blood on the size and quality of the healing ligament remain unknown.
Prior studies evaluating the use of other blood-derived products such as platelet-rich plasma (PRP), where the platelet count is enriched, typically have had a low red blood cell fraction.2,20 PRP has been shown to improve wound healing for other tissues.7,22,23,35,64 However, when evaluated for ACL repair or reconstruction in animal models, increasing the platelet count did not improve the strength of a repaired ACL or improve the mechanical properties of an ACL graft.26,41 The effect of including white blood cells (WBCs) in PRP has produced mixed results, with some studies showing that the inclusion of WBCs helps with bone and soft tissue healing1,21,25,56 and other studies showing that it impedes healing.4,6,53,63 Thus, it is of interest to evaluate the effects of both physiologic platelet and WBC concentration on the quality of the healing ACL after BEAR. In addition, because the extracellular matrix implant used for BEAR is made using bovine tissue, the effect of the preoperative level of immunoglobulin G (IgG) antibodies to bovine collagen on ligament healing was also thought to be of interest.
Magnetic resonance (MR) imaging (MRI) has been a useful tool in evaluating ACL healing properties in large animal models.11–13,27,60 Structures with a higher cross-sectional area, and subsequently volume, would be indicative of a higher yield or maximum load.11,12 A lower water content in the healing ACL, as detected by lower signal intensity in sequences where fluid is bright, including T2*11,13 and proton density (PD) weighted sequences,3,60 has been shown to correlate with healing ACL tissue that has improved mechanical properties (ie, maximum load). Additionally, lower signal intensity in these fluid-sensitive sequences has been shown to relate to improved collagen alignment indicative of a more mature ligament in animal models of BEAR and ACL reconstruction.13,60 In this study, the Constructive Interference in Steady State (CISS) sequence was used as a measure of signal intensity. This sequence, as with the T2* and PD sequences, has lower signal intensity when tissues have lower fluid content (and higher collagen organization), but it also offers high spatial resolution and excellent contrast resolution.9,37 Thus, this sequence can provide a noninvasive and accurate measure of the healing ligament cross-sectional area and signal intensity.
The purpose of this study was to determine whether concentrations of various blood cell types placed into the implant at the time of ACL repair would have a significant effect on the healing ligament cross-sectional area and/or the normalized signal intensity (ie, healing tissue organization) at 6 months after BEAR. We hypothesized that patients with a higher physiologic platelet count and lower WBC count would have improved healing of the ACL (larger average cross-sectional area and/or lower normalized signal intensity) at 6 months after surgery. We also evaluated whether the level of IgG antibodies to bovine collagen had a significant effect on the same MR qualities.
Methods
Patients
Approval from our institutional review board and the US Food and Drug Administration was obtained before the start of the study. All patients and, if applicable, their legal guardian(s) granted informed consent. A total of 65 patients, ages 14 to 35 years, who presented with a complete ACL tear, were less than 45 days from injury, had closed physes, and had at least 50% of the length of their ACL attached to their tibia (as determined from a preoperative MRI scan) underwent the BEAR procedure as part of the BEAR II trial (IDE G150268, IRB No. P00021470, NCT 02664545). Patients were excluded from enrollment if they had a history of prior knee surgery, prior infection in the knee, or other risk factors that might adversely affect ligament healing (regular nicotine or tobacco use, corticosteroids in the past 6 months, chemotherapy, diabetes, inflammatory arthritis). Patients were excluded if they had a displaced bucket-handle tear of the meniscus requiring repair; however, all other meniscal injuries were included. Patients were also excluded if they had a full-thickness chondral injury, a grade 3 medial collateral ligament injury, a concurrent complete patellar dislocation, or an operative posterolateral corner injury. A total of 4 enrolled patients were excluded from analysis because of loss to follow-up (n = 1) and imaging artifacts during postoperative MRI (n = 3), leaving 61 for the current analysis. The 2-year patient reported outcomes and physical examination results of the BEAR II trial have been previously published.46
BEAR Surgical Procedure
The surgical steps for the BEAR procedure are shown in Figure 1. After the induction of general anesthesia, an examination was performed to verify a positive pivot shift on the injured side and to record the Lachman test, range of motion, and pivot-shift examination results on both knees. A knee arthroscopy was performed, and any meniscal injuries present were treated. A tibial aimer (Acufex Director Drill Guide; Smith & Nephew) was used to place a 2.4-mm guide pin through the tibia and into the tibial footprint of the ACL. The pin was overdrilled with a 4.5-mm reamer (Endoscopic Drill; Smith & Nephew). A guide pin was placed in the femoral ACL footprint, drilled through the femur, and then overdrilled with the 4.5-mm reamer. A 4-cm arthrotomy was made at the medial border of the patellar tendon, and a whipstitch of No. 2 absorbable braided suture (Vicryl) was placed into the tibial stump of the torn ACL. Alternatively, in some cases, a whipstitch was placed arthroscopically before an arthrotomy was made.
Two No. 2 nonabsorbable braided sutures (Ethibond; Ethicon) were then looped through the 2 center holes of a cortical button (Endobutton; Smith & Nephew). The free ends of a No. 2 absorbable braided suture from the tibial stump were passed through the cortical button, which was then passed through the femoral tunnel and engaged on the lateral femoral cortex. Both looped sutures of No. 2 nonabsorbable braided (4 matched ends) were then passed through the implant (BEAR implant; Boston Children’s Hospital), and 10 mL of autologous blood obtained from the antecubital vein was added to the implant. An additional 22 mL of blood was drawn and sent to the laboratory for a complete blood cell count, including a differential count of the specific types of WBCs. The implant was then passed along the sutures into the femoral notch, and the nonabsorbable braided sutures were passed through the tibial tunnel and tied over a second cortical button on the anterior tibial cortex with the knee in full extension. The remaining pair of suture ends coming through the femur were tied over the femoral cortical button to bring the ACL stump into the implant using an arthroscopic knot tying technique. The arthrotomy was closed in layers.
A standardized physical therapy protocol was followed including partial weightbearing for 2 weeks and then weightbearing as tolerated with crutches until 4 weeks postoperatively. Use of a functional ACL brace (CTi brace; Ossur) was recommended from 6 to 12 weeks postoperatively and then for cutting and pivoting sports for 2 years after surgery. Other than the brace use and initial restricted weightbearing, the patients followed a rehabilitation protocol based on that of the Multicenter Orthopaedics Outcomes Network.61,62
Outcome Measures
Blood Values
A complete blood cell count with differential was collected intraoperatively at the time of implant placement and was analyzed the same day. Samples to measure erythrocyte sedimentation rate (ESR) and bovine gelatin IgG level were obtained before surgery at the baseline visit.
MRI Assessment of ACL Healing
MRI scans were acquired from all operated knees 6 months after surgery. A 3.0-T scanner (Tim Trio; Siemens) and a 15-channel knee coil were used to obtain the following sequence: 3-dimensional (3D) CISS, 14-ms repetition time, 7-ms echo time, 35° flip angle, 16-cm field of view, and 100 × 384 × 384 slice × frequency × phase.
The slice thickness for the CISS sequence was 1.5 mm, and the pixel dimensions were 0.4 × 0.4 mm. The postoperative MRI scans were then used to measure the cross-sectional area and signal intensity of the healing ligament. In brief, repaired ACLs were manually segmented from the sagittal CISS image stack to create a 3D model of the structure using commercially available software (Mimics 17.0; Maternalize) (Figure 2). The model was used to measure the ligament volume and length, which were then used to calculate the average ACL cross-sectional area (volume/length).34,49 The median grayscale value of the repaired ACL was then calculated from the segmented ACL mask and normalized to the patient-specific grayscale value of the posterior cortex of the femoral shaft to minimize interscan variability. The normalized value was then reported as ACL signal intensity.34,49 The segmentations were done by an experienced examiner (A.M.K.). Both the cross-sectional area and signal intensity measurements were previously shown to be highly reproducible, with intraclass correlation coefficients of 0.959 (cross-sectional area) and 0.909 (signal intensity) when measured by 2 independent examiners.34
Statistical Analysis
Patient characteristics at baseline and surgery were summarized with descriptive statistics (mean ± SD for continuous variables, and number of cases and percentage for categorical variables). All values were checked for normality. Normally distributed data were analyzed by use of parametric tests, whereas nonparametric tests were used to analyze nonnormally distributed data. Analysis of variance was used to compare mean ACL cross-sectional area and signal intensity with bovine gelatin IgG categorized by quartiles. The mean age, body mass index (BMI), and laboratory values by sex were compared through use of the independent t test. Linear regression was used to estimate the unadjusted associations of age, BMI, and quantified blood values with healing ACL average cross-sectional area and normalized signal intensity. Because we were interested in the sex-specific influences on the biological response to ligament healing, we evaluated the effect of blood cell on each sex separately as well as adjusted models to account for the anatomic and age differences between the sexes within our population (adjusted sex-specific analysis). Analysis was done in SAS 9.4 (SAS Institute), and results were considered significantly associated with outcome if P values were less than .05.
Results
Patients
Demographics and characteristics of the 61 cohort patients have previously been reported.49 The mean ± SD age of the patients was 19.3 ± 5.1 years (range, 13-35 years). The BMI was 24.7 ± 3.8 kg/m2 (range, 18.9-37.2 kg/m2). There were 25 (41.0%) male patients and 36 (59.0%) female patients; 55 (86%) of the participants identified themselves as non-Hispanic white. At the time of injury, all patients were participating in sports, and 44 (72.1%) were participating in level 1 sports.17,30,31,59 A noncontact mechanism was the cause of injury in 45 (73.8%) patients. The mean time between injury and surgery was 35.0 ± 7.9 days, with a range of 12 to 46 days.
Intraoperative Findings
All patients had a complete midsubstance tear of the ACL accompanied by a positive pivot-shift examination, with 11 (18.0%) having a glide, 40 (65.6%) having a clunk, and 10 (16.4%) classified as gross.
ACL Imaging Properties
At 6 months after surgery, the mean cross-sectional area of the healing ACL was 56.2 ± 11.8 mm2, with a range of 35.5 to 85.2 mm2. The mean normalized signal intensity of the healing ACL was 1.37 ± 0.23, with a range of 0.98 to 2.16.
Effect of Sex on Intraoperative Blood Cell Counts
The age, BMI, and blood cell values of both sexes are listed in Table 1. Male patients were significantly older in this study (P = .002) and had significantly higher BMIs (P = .011). The range of physiologic platelet concentrations measured in the female patients at surgery was 144 to 334 K cells/μL, whereas that in the male patients was 138 to 336 K cells/μL. The range of WBC concentrations measured in the female patients at surgery was 3.9 to 14.1 K cells/μL, whereas that in the male patients was 2.5 to 19.2 K cells/μL. The only significant difference in blood cell type between sexes was in measures of red blood cell quantity (hemoglobin, hematocrit, and red blood cells), where male patients had higher counts than female patients (P < .001 for all 3 comparisons). No significant difference was found in total WBC counts, platelets, ESR, or bovine gelatin IgG between sexes in this patient population (P > .05).
Table 1.
Total (N = 61) | Male (n = 25) | Female (n = 36) | P Valueb | |
---|---|---|---|---|
Age, y | 19.34 ± 5.07 | 22.02 ± 6.13 | 17.47 ± 3.11 | .002 |
Body mass index, kg/m2 | 24.70 ± 3.84 | 26.31 ± 4.56 | 23.57 ± 2.80 | .011 |
Basophils, % | 0.47 ± 0.26 | 0.52 ± 0.31 | 0.44 ± 0.2 | .259 |
Eosinophils, % | 2.03 ± 1.87 | 1.83 ± 1.48 | 2.18 ± 2.13 | .490 |
White blood cells, 103 cells/μL | 6.96 ± 2.72 | 7.4 ± 3.58 | 6.64 ± 1.87 | .345 |
Lymphocytes, % | 28.64 ± 9.99 | 28.52 ± 9.54 | 28.72 ± 10.44 | .940 |
Monocytes, % | 7.48 ± 3.36 | 6.8 ± 2.92 | 7.98 ± 3.6 | .185 |
Neutrophils, % | 61.04 ± 12.74 | 61.97 ± 12.66 | 60.35 ± 12.95 | .634 |
Platelets, 103 cells/μL | 228.85 ± 45.81 | 229.16 ± 48.86 | 228.62 ± 44.17 | .965 |
Hemoglobin, g/dL | 12.43 ± 1.32 | 13.6 ± 0.93 | 11.58 ± 0.81 | <.001 |
Hematocrit, % | 37.16 ± 3.66 | 40.37 ± 2.78 | 34.87 ± 2.19 | <.001 |
Red blood cells, M cells/μL | 4.31 ± 0.43 | 4.66 ± 0.34 | 4.05 ± 0.29 | <.001 |
Erythrocyte sedimentation rate,c mm/h | 8.44 ± 6.39 | 6.72 ± 5.65 | 9.64 ± 6.67 | .079 |
Bovine gelatin immunoglobulin G,c U/mL | 366.75 ± 494.06 | 425.20 ± 598.60 | 326.15 ± 410.61 | .477 |
aValues are expressed as mean ± SD. Boldface indicates statistically significant difference between males and females.
bAn independent t test was used to compare the variables for male versus female patients.
cThese values were measured at baseline (preoperatively).
Unadjusted Associations Between Blood Cell Counts and Healing ACL Average Cross-sectional Area
Unadjusted associations between healing ACL average cross-sectional area and patient demographics and blood values are shown in Table 2. Higher ACL cross-sectional area was found to significantly correlate with older age (β = 0.63; P = .034; R 2 = 0.07) and male sex (β = 8.86; P = .003; R 2 = 0.14). None of the quantified blood values were significantly associated with average cross-sectional area of the healing ACL (P > .10 for all analyses). The blood cell type that had the lowest P value (but did not reach statistical significance) for the association with signal intensity was the percentage of monocytes (P = .096; R 2 = 0.05).
Table 2.
Measurement | β | 95% CI | P Value | R 2 |
---|---|---|---|---|
Age | 0.63 | 0.05 to 1.22 | .034 | 0.07 |
Male sex | 8.86 | 14.61 to 3.10 | .003 | 0.14 |
Body mass index | 0.51 | –0.28 to 1.29 | .199 | 0.03 |
Basophils | 3.51 | –8.80 to 15.82 | .570 | 0.08 |
Eosinophils | –0.77 | –2.44 to 0.89 | .359 | 0.02 |
White blood cells | 0.06 | –1.03 to 1.14 | .919 | 0.00 |
Lymphocytes | 0.07 | –0.25 to 0.38 | .676 | 0.00 |
Monocytes | 0.78 | –0.14 to 1.69 | .096 | 0.05 |
Neutrophils | –0.08 | –0.32 to 0.17 | .528 | 0.01 |
Platelets | –0.04 | –0.11 to 0.02 | .202 | 0.03 |
Hemoglobin | 1.44 | –0.89 to 3.77 | .223 | 0.03 |
Hematocrit | 0.52 | –0.32 to 1.36 | .220 | 0.03 |
Red blood cells | 5.72 | –1.52 to 12.96 | .119 | 0.04 |
Erythrocyte sedimentation rateb | 0.12 | –0.36 to 0.61 | .606 | 0.01 |
Bovine gelatin immunoglobulin Gb | 0.00 | –0.01 to 0.01 | .756 | 0.00 |
aBoldface indicates statistical significance. ACL, anterior cruciate ligament.
bThese values were measured at baseline (preoperatively).
Unadjusted Associations Between Blood Cell Counts and Healing ACL Normalized Signal Intensity
Unadjusted associations between healing ACL normalized signal intensity and patient demographics and blood values are shown in Table 3. No statistically significant association was found between age or sex and signal intensity (P > .15 for both associations). No statistically significant association was seen between any blood cell parameter and signal intensity. The blood cell type that had the lowest P value (but did not reach statistical significance) for the association with signal intensity was the percentage of eosinophils (P = .071; R 2 = 0.06).
Table 3.
Measurement | β | 95% CI | P Value | R 2 |
---|---|---|---|---|
Age | –0.01 | –0.02 to 0.03 | .152 | 0.03 |
Female sex | 0.09 | –0.03 to 0.20 | .156 | 0.03 |
Body mass index | 0.01 | –0.01 to 0.02 | .374 | 0.01 |
Basophils | 0.05 | –0.19 to 0.29 | .694 | 0.00 |
Eosinophils | 0.03 | 0.00 to 0.06 | .071 | 0.06 |
White blood cells | –0.01 | –0.03 to 0.01 | .338 | 0.02 |
Lymphocytes | 0.00 | 0.00 to 0.01 | .246 | 0.02 |
Monocytes | 0.00 | –0.02 to 0.02 | .813 | 0.00 |
Neutrophils | 0.00 | –0.01 to 0.00 | .218 | 0.03 |
Platelets | 0.00 | –0.01 to 0.01 | .906 | 0.00 |
Hemoglobin | –0.02 | –0.07 to 0.02 | .347 | 0.02 |
Hematocrit | –0.01 | –0.02 to 0.01 | .401 | 0.01 |
Red blood cells | –0.01 | –0.19 to 0.09 | .445 | 0.01 |
Erythrocyte sedimentation rateb | 0.00 | –0.01 to 0.01 | .816 | 0.00 |
Bovine gelatin immunoglobulin Gb | 0.00 | 0.00 to 0.00 | .829 | 0.00 |
aACL, anterior cruciate ligament.
bThese values were measured at baseline (preoperatively).
Adjusted Sex-Specific Models for the Association Between Blood Cell Counts and Healing ACL Average Cross-sectional Area
Adjusted models, including age and BMI, were studied to account for observed differences in the cross-sectional area parameters within sexes. After adjusting for previously significant independent variables from the univariate analyses (age) and performing the analysis in each sex, we noted associations of healing ACL average cross-sectional area with blood values at surgery for male and female patients, as shown in Table 4. For male patients, although no blood cell parameters met the criteria for a statistically significant association with cross-sectional area, the lowest P values for such an association were noted for hemoglobin (P = .055) and hematocrit (P = .051), with lower hemoglobin/hematocrit seen with a lower cross-sectional area. For female patients, a higher percentage of monocytes (β = 1.01; P = .049) was significantly associated with higher ACL average cross-sectional area.
Table 4.
Male | Female | |||||||
---|---|---|---|---|---|---|---|---|
Blood Value | Age Effect | Blood Cell Parameter Effect | Age Effect | Blood Cell Parameter Effect | ||||
β | P Value | β | P Value | β | P Value | β | P Value | |
Basophils | 0.28 | .517 | 3.26 | .700 | 0.58 | .334 | –1.56 | .862 |
Eosinophils | 0.34 | .466 | 0.91 | .642 | 0.49 | .420 | –0.69 | .421 |
White blood cells | 0.25 | .548 | –0.72 | .312 | 0.45 | .434 | 0.77 | .351 |
Lymphocytes | 0.22 | .602 | 0.27 | .313 | 0.57 | .351 | –0.03 | .877 |
Monocytes | 0.27 | .511 | 1.03 | .238 | 0.22 | .713 | 1.01 | .049 |
Neutrophils | 0.25 | .540 | –0.22 | .287 | 0.60 | .318 | –0.04 | .792 |
Platelets | 0.24 | .571 | –0.01 | .928 | 0.18 | .758 | –0.07 | .091 |
Hemoglobin | 0.10 | .803 | –5.20 | .055 | 0.49 | .437 | –0.36 | .877 |
Hematocrit | 0.169 | .663 | –1.72 | .051 | 0.45 | .474 | 0.08 | .924 |
Red blood cells | 0.13 | .761 | –6.54 | .409 | 0.65 | .523 | 0.04 | .995 |
Erythrocyte sedimentation rateb | 0.28 | .504 | 0.52 | .249 | 0.46 | .427 | 0.19 | .474 |
Bovine gelatin immunoglobulin Gb | 0.23 | .590 | 0.00 | .671 | 0.45 | .445 | 0.00 | .862 |
aBoldface indicates statistical significance. ACL, anterior cruciate ligament.
bMeasured at baseline (preoperatively).
Correlation Between Postoperative Bovine Gelatin IgG and Healing ACL Average Cross-sectional Area and Normalized Signal Intensity
Linear regression was used to compare outcomes by bovine gelatin IgG level at 6 months postoperatively in quartiles. We noted no statistically significant effect of postoperative bovine gelatin IgG level on either MR outcome (P > .6 for both parameters).
Discussion
In both the adjusted and unadjusted models, physiologic platelet concentration had no effect on ligament cross-sectional area or normalized signal intensity of the ACL after a bridge-enhanced ACL repair. In the unadjusted model, both older age and male sex were associated with a larger cross-sectional area of healing ACL, yet neither had a significant effect on signal intensity of the tissue at 6 months. In a sex-specific analysis of cross-sectional area, after adjustment for the potentially confounding variables of age, BMI, and hemoglobin levels, a higher monocyte concentration was correlated with higher cross-sectional area of the healing ACL in female patients only. Although this association was statistically significant, further studies in larger numbers of patients will be required to determine whether this association is true in all populations. All other factors measured, including the physiologic concentration of platelets, neutrophils, lymphocytes, basophils, and bovine gelatin IgG, were not significantly associated with either MR parameter at 6 months postoperatively.
The factors found to significantly correlate with increased cross-sectional area of the healing ACL in the unadjusted analyses were male sex and older age. In this study, the women were significantly younger and had a lower BMI than the men (Table 2). Both younger age and female sex may indicate the patients with a smaller notch size at the time of surgery. Prior studies of bridge-enhanced ACL repair support femoral notch width as a predictor of healing ligament cross-sectional area.34,49 It is possible from the findings that male sex and age could be surrogate markers for notch size and could subsequently be indirect predictors of cross-sectional area of the healing ACL. Future studies will determine which of these factors are primary.
The finding in this clinical study that an increased physiologic concentration of platelets did not significantly affect the healing ligament cross-sectional area or signal intensity is less consistent with prior reports, where intentionally increased platelet concentration has been reported to help with wound healing15,16 and maturation of grafts after ACL reconstruction.5,24 The finding here is more consistent with findings in preclinical models, where intentionally increasing the platelet count did not improve the strength of an ACL repaired by use of a scaffold and PRP or improve the mechanical properties of an ACL graft.26,41 However, although the ranges of platelet counts in this cohort revealed that some patients had platelet counts twice as high as others, this study did not evaluate the effect of deliberately concentrating platelets in the blood added to the implant.
It is known that various blood values have sex-specific normalized values,42 and hence it is important to look at each sex independently, particularly for cross-sectional area where sex was found to have a significant effect. In female patients, a higher monocyte concentration was correlated with higher cross-sectional area of the healing ACL. Monocytes, like other types of WBCs, play a defensive role in the immune system, working to destroy intruders while also facilitating healing and repair. More specifically, monocytes are largely responsible for phagocytic degradation of microbes and particles as well as cytokine recruitment.18,52,54 One hypothesis as to why monocytes may have a positive effect on ACL cross-sectional area is their ability to differentiate into macrophages. In particular, the shift from “classic activation” macrophages to “alternative activation” macrophages in the wound site is a key step in inflammation resolution, with these cells working to phagocytose apoptotic neutrophils and hence promote tissue growth.8 The potential overall effect of monocytes on ACL healing in patients is not yet well understood, and whether there is an effect on all patients or only female patients also remains unclear. Further studies are needed to evaluate the effects of monocytes on ACL healing after ligament repair.
In addition to platelets, neutrophils, and basophils having no significant effect on either MR parameter, ESR and bovine gelatin IgG values at baseline were also not found to be significantly correlated with ACL cross-sectional area or signal intensity at 6 months. ESR has shown diagnostic accuracy in assessment of systemic inflammation, where an increased value is indicative of a greater volume of acute phase proteins in blood plasma.14,36 ESR was collected at baseline to determine whether higher levels of those proteins present preoperatively would affect the MR parameters of the healing ligament. Additionally, studies done using other forms of bovine collagen implants have noted that more than 10% and up to 100% of patients will develop bovine type 1 collagen antibodies33; however, IgG antibodies in this context are thought not to correlate with adverse events, hypersensitivity, or indeed implant rejection.43 It has also been demonstrated that peak levels occur at approximately 4 to 6 months postoperatively and that dietary exposure to bovine products likely accounts for a significant proportion of patients who have IgG antibodies detected.19,28 The findings in this study are consistent with these prior reports, where patient IgG antibodies to bovine type 1 collagen are not associated with adverse reactions, including low cross-sectional area or high signal intensity of the healing tissue.
There were several limitations to this study. Cross-sectional area and signal intensity were measured only at 6 months. Therefore, further studies are required to determine whether these findings would be upheld at longer time points. Also, in this cohort, male patients on average had larger intact ACL cross-sectional area compared with female patients. However, we did not find any associations between age and intact ACL cross-sectional area measured from the contralateral knee. It is possible that the observed associations are influenced by overall body size and knee characteristic (ie, notch width), which is the subject of ongoing studies. It has previously been demonstrated that volume (and, thus, cross-sectional area) and signal intensity of a healing ACL graft are associated with clinical and functional outcomes at 3 and 5 years after ACL reconstruction surgery.10 Moreover, although we attempted to look at commonly analyzed and manipulated blood values, it is possible that we inadvertently excluded other important risk factors. Subsequent blood manipulation studies in large animal models may be necessary to help explain the current findings and to continue identifying biological markers that may influence ACL healing outcomes. Moreover, although this is the largest clinical study of bridge-enhanced ACL repair to date, only 61 patients were enrolled in this study. Thus, the study may have been underpowered to detect other significant associations or to adjust for the effect of other contributing factors (ie, knee morphologic characteristics34,49). Finally, although we adjusted our associations to potential confounding factors, we did not correct for multiple testing because of the exploratory nature of this study. Future studies with larger numbers of participants are planned.
Conclusion
Although older age and male sex were associated with higher healing ligament cross-sectional area, the results of this study suggest that physiologic platelet count and prior exposure to bovine collagen were not significant predictors of healing ligament cross-sectional area or signal intensity at 6 months after BEAR.
Acknowledgment
We acknowledge the significant contributions of the clinical trial team including Bethany Trainor, Elizabeth Carew, and Shanika Coney. We would also like to acknowledge the contributions of our medical safety monitoring team of Joseph DeAngelis, Peter Nigrovic, and Carolyn Hettrich; our data monitors Maggie Malsch, Meghan Fitzgerald, and Erica Denhoff; and the clinical care team for the trial patients, including Kathryn Ackerman, Alyssa Aguiar, Judd Allen, Michael Beasley, Jennifer Beck, Dennis Borg, Jeff Brodeur, Stephanie Burgess, Melissa Christino, Sarah Collins, Gianmichel Corrado, Sara Carpenito, Corey Dawkins, Pierre D’Hemecourt, Jon Ferguson, Michele Flannery, Casey Gavin, Ellen Geminiani, Stacey Gigante, Annie Griffin, Emily Hanson, Elspeth Hart, Jackie Hastings, Pamela Horne-Goffigan, Christine Gonzalez, Meghan Keating, Ata Kiapour, Elizabeth Killkelley, Elizabeth Kramer, Pamela Lang, Hayley Lough, Chaimae Martin, Michael McClincy, William Meehan, Ariana Moccia, Jen Morse, Mariah Mullen, Stacey Murphy, Emily Niu, Michael O’Brien, Nikolas Paschos, Katrina Plavetsky, Bridget Quinn, Shannon Savage, Edward Schleyer, Benjamin Shore, Cynthia Stein, Andrea Stracciolini, Dai Sugimoto, Dylan Taylor, Ashleigh Thorogood, Kevin Wenner, Brianna Quintiliani, and Natasha Trentacosta. We thank the perioperative and operating room staff and the members of the Department of Anesthesia at Boston Children's Hospital who were extremely helpful in developing the perioperative and intraoperative protocols. We acknowledge the efforts of other scaffold manufacturing team members, including Gabe Perrone, Gordon Roberts, Doris Peterkin, and Jakob Sieker. We are grateful for the study design guidance provided by the Division of Orthopedic Devices at the Center for Devices and Radiological Health at the US Food and Drug Administration under the guidance of Laurence Coyne and Mark Melkerson, particularly the efforts of Casey Hanley, Peter Hudson, Jemin Dedania, Pooja Panigrahi, and Neil Barkin. We are especially grateful to the patients and their families who participated in this study. Their willingness to participate in research that may help others in the future inspires all of us.
Footnotes
Final revision submitted February 7, 2020; accepted February 21, 2020.
One or more of the authors has declared the following potential conflict of interest or source of funding: Funding was received from the Translational Research Program at Boston Children’s Hospital, the Children’s Hospital Orthopaedic Surgery Foundation, the Children’s Hospital Sports Medicine Foundation, and the National Institutes of Health and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (grants R01-AR065462 and R01-AR056834). This research was also conducted with support from the Football Players Health Study at Harvard University. The Football Players Health Study is funded by a grant from the National Football League Players Association. The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Medical School, Harvard University or its affiliated academic health care centers, the National Football League Players Association, Boston Children’s Hospital, or the National Institutes of Health. M.M.M. and Boston Children’s Hospital have equity interests in MIACH Orthopaedics, a company that has licensed the BEAR scaffolding technology from Boston Children’s Hospital. M.M.M. has also received honoraria from the Musculoskeletal Transplant Foundation and royalties from Springer Publishing. B.C.F. has received educational support from Smith & Nephew, consulting fees from the New York R&D Center for Translational Medicine and Therapeutics, and royalties from Springer and is a paid associate editor for The American Journal of Sports Medicine. D.E.K. has received educational support from Kairos Surgical. B.L.P. has equity interests in and is a consultant for MIACH Orthopedics. AOSSM checks author disclosures against the Open Payments Database (OPD). AOSSM has not conducted an independent investigation on the OPD and disclaims any liability or responsibility relating thereto.
Ethical approval for this study was obtained from Boston Children’s Hospital (protocol No. IRB-P00021470).
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