Osteomark® is a urinary assay that provides a quantitative measure of the excretion of cross-linked N-telopeptides of type I collagen (NTx) as an indicator of human bone resorption. Elevated levels of urinary NTx indicate elevated human bone resorption. Measurement of NTx is intended for use in: A. Predicting skeletal response (bone mineral density) to hormonal anti-resorptive therapy in postmenopausal women B. Therapeutic monitoring of: 1. anti-resorptive therapies in postmenopausal women 2. anti-resorptive therapies in individuals diagnosed with osteoporosis 3. anti-resorptive therapies in individuals diagnosed with Paget’s disease of bone 4. estrogen-suppressing therapies The measurement range of Osteomark is 20 to 3000 nM Bone Collagen Equivalents (BCE) of NTx.
Device Story
Osteomark is a competitive ELISA for quantitative measurement of cross-linked N-telopeptides (NTx) in urine. Input: urine specimen. Principle: NTx in specimen competes with solid-phase NTx on microwells for horseradish peroxidase-labeled monoclonal antibody binding sites. Output: concentration in nM BCE (nanomole bone collagen equivalents per liter), determined via standard calibration curve. Used in clinical laboratories to monitor bone resorption rates during anti-resorptive or estrogen-suppressing therapies and to predict skeletal response to HRT in postmenopausal women. Results interpreted by clinicians alongside other diagnostic findings to assess therapeutic efficacy; helps identify patients likely to benefit from therapy or at risk for bone loss.
Clinical Evidence
Clinical utility supported by multiple prospective, longitudinal, and randomized trials. Studies included postmenopausal women (n=227) monitoring HRT response, premenopausal women (n=90) on estrogen-suppressing therapy, and Paget’s disease patients (n=72) on bisphosphonates. Primary endpoints included correlation between NTx changes and BMD (DEXA) or alkaline phosphatase normalization. A ≥30% decrease in NTx at 6 months significantly associated (p<0.005) with positive BMD response (80% sensitivity, 59% specificity). Paget’s study showed NTx provides earlier assessment of therapeutic response than total alkaline phosphatase.
Technological Characteristics
Competitive ELISA; horseradish peroxidase-labeled monoclonal antibody; solid-phase microwells coated with NTx. Reagents include calibrators (1-3000 nM BCE), antibody conjugate, wash concentrate, substrate, chromogen, and stopping reagent. Measurement range: 20-3000 nM BCE. Standardized to bone collagen equivalents.
Indications for Use
Indicated for postmenopausal women, individuals with osteoporosis, individuals with Paget’s disease of bone, and individuals undergoing estrogen-suppressing therapy. Not established for predicting osteoporosis development, future fracture risk, primary hyperparathyroidism, or hyperthyroidism.
Regulatory Classification
Identification
A hydroxyproline test system is a device intended to measure the amino acid hydroxyproline in urine. Hydroxyproline measurements are used in the diagnosis and treatment of various collagen (connective tissue) diseases, bone disease such as Paget's disease, and endocrine disorders such as hyperparathyroidism and hyperthyroidism.
Submission Summary (Full Text)
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K961562
Summary of Safety and Effectiveness
# Summary of Safety and Effectiveness
Osteomark is a competitive enzyme-linked immunosorbent assay (ELISA) which utilizes a horseradish peroxidase labeled monoclonal antibody directed against the cross-linked N-telopeptides (NTx) present in urine specimens. An Osteomark® kit is comprised of the following reagents:
- Antigen Coated 96-Well Plate Calibrators:
- 1 nM BCE
- 30 nM BCE
- 100 nM BCE
- 300 nM BCE
- 1000 nM BCE
- 3000 nM BCE
- Antibody Conjugate Concentrate
- Antibody Conjugate Diluent
- Level I and Level II Urine Controls
- 30X Wash Concentrate
- Buffered Substrate
- Chromogen Reagent
- Stopping Reagent
The solid phase utilizes microwells onto which NTx has been adsorbed. NTx in the specimen or Calibrator competes with the solid phase NTx for antibody binding sites. The resulting amount of Antibody Conjugate bound to the solid phase is indirectly proportional to the amount of NTx in the specimen or Calibrator. The quantity of NTx in the specimen is determined from a standard calibration curve using reagents supplied in the kit. Assay values are standardized to an equivalent amount of bone collagen, and are expressed in nanomole bone collagen equivalents per liter (nM BCE). BCE reflects the amount of immunoreactive NTx, as measured by Osteomark, liberated from human bone collagen following digestion with bacterial collagenase, as measured by hydroxyproline by high performance liquid chromatography (HPLC).
Osteomark® 510(k) Submission
Ostra International, Inc.
137
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# Intended Use of Osteomark®
Osteomark® is a urinary assay that provides a quantitative measure of the excretion of cross-linked N-telopeptides of type I collagen (NTx) as an indicator of human bone resorption. Elevated levels of urinary NTx indicate elevated human bone resorption. Measurement of NTx is intended for use in:
A. Predicting skeletal response (bone mineral density) to hormonal anti-resorptive therapy in postmenopausal women
B. Therapeutic monitoring of:
1. anti-resorptive therapies in postmenopausal women
2. anti-resorptive therapies in individuals diagnosed with osteoporosis
3. anti-resorptive therapies in individuals diagnosed with Paget’s disease of bone
4. estrogen-suppressing therapies
The measurement range of Osteomark is 20 to 3000 nM Bone Collagen Equivalents (BCE) of NTx.
# Expected Values
## Urine Collection:
A multi-center, cross-sectional study was conducted to determine the reference range for normal premenopausal women (mean age 36 years, range 25-49). Male reference range was determined from a study conducted at a large reference laboratory (mean age 46 years, range 24-71). The mean, standard deviation, and the mean ± 2 standard deviation ranges for these two populations are presented in Table 1 below.
Table 1 - Expected Osteomark® Values for Premenopausal Women and Men
| | Mean* | Std Dev | Range
(mean ± 2 std dev)* | N |
| --- | --- | --- | --- | --- |
| Women | 35 | 15 | 5-65 | 258 |
| Men | 27 | 12 | 3-51 | 81 |
*expressed as nanomoles BCE/millimole creatinine
Osteomark® 510(k) Submission
Onyx International, Inc.
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In a separate study, the expected within-subject variability was determined from urine specimens from eight healthy subjects collected every 2-3 days over approximately 2 months. The average of the individual within-subject longitudinal variation was 19.3%. The average between-subject longitudinal variation was 38.3%.
## Limitations of the Procedure
### Lower Limit of Detection
The lower limit of detection of the Osteomark® assay is 20 nM BCE. This value represents a concentration which is greater than the value which can be distinguished from zero, and was calculated by subtracting 3 standard deviations optical density (A450-A630) from established variability of the 1nM BCE Calibrator. Assay precision below this value is insufficient for accurate results.
### Interfering Substances
Common urine components and contaminants, as well as microbiological contaminants, that are known to interfere with many laboratory urine analyses were evaluated for an interfering effect with Osteomark®. The evaluations were performed by adding normal and excessive quantities of each potential inhibitor to normal urine specimens and analyzing for an effect on the final results. Results show that specimens obviously contaminated with whole blood or that have extensive hemolysis may show interference in the assay. These specimens should be avoided, and the specimen recollected.
### Limitations of the Procedure
While Osteomark® is used as an indicator of bone resorption, use of this test has not been established to predict development of osteoporosis or future fracture risk. Use of this test has not been established in primary hyperparathyroidism or hyperthyroidism. When using Osteomark® to monitor therapy, results may be confounded in patients afflicted with clinical conditions known to affect bone resorption, e.g., metastases to bone. While an
Osteomark® 510(k) Submission
Omex International, Inc.
{3}
Osteomark® value provides a measure of the level of bone resorption, a single Osteomark® value can not provide the rate of bone resorption as reported results do not contain a measure of time. Osteomark® results should be interpreted in conjunction with clinical findings and other diagnostic results.
## Performance Characteristics
### Reproducibility
Assay reproducibility was evaluated for intra-assay and inter-assay variability of normal urine specimens across the range of the calibration curve.
**Intra-assay** variability, or within assay precision, was assessed using eight urine specimens tested in replicates of 10 by each of four operators. Results demonstrate an average intra-assay variability estimate of 8% CV, with a range of 5-19% CV along the calibration curve.
**Inter-assay** variability, or assay to assay precision, was assessed using three urine specimens tested in duplicate by one operator over 20 separate assay runs. Results demonstrate an average interassay variability estimate of 4% CV, with a range of 3-5% CV along the calibration curve.
### Antigen Recovery
Antigen recovery was evaluated by adding known amounts of NTx to each of three normal urine specimens. Recovery represented the observed assay value of the “spiked” specimens, calculated as a percent of the expected urine value (baseline urine value plus added antigen value). Results demonstrate an average antigen recovery of 105%, over an assay value range of 200-2500 nM BCE.
Osteomark® 510(k) Submission
Osteo International, Inc.
140
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# Dilutional Linearity
Dilutional linearity was evaluated by performing serial dilutions of four urine specimens with high nM BCE values into a urine specimen with a low nM BCE value. Results demonstrated correlation coefficients of $r=0.999$ to $r=1.000$ across an assay range of 44-2940 nM BCE.
# Clinical Studies
## Use of Osteomark® in Therapeutic Monitoring of Hormonal Anti-Resorptive Therapy and in Predicting Skeletal Response (Bone Mineral Density) in Postmenopausal Women
A multi-center, randomized, prospective clinical trial was conducted to determine the ability of the Osteomark® assay to monitor the effect of hormonal anti-resorptive therapy on bone resorption in early postmenopausal women, and to predict response to hormone replacement therapy (HRT). Subjects were randomized to estrogen (0.625 mg) and medroxyprogesterone (2.5 - 5 mg cyclic or continuous) plus a daily 500 mg calcium supplement (HRT group), or a daily 500 mg calcium supplement only (calcium group). A total of 227 women, 109 in the HRT group and 118 in the calcium group, completed the 12 month study (Campoderve et.al., 1995).
The following data support the clinical utility of Osteomark® to monitor hormonal anti-resorptive therapy in early postmenopausal women and to predict changes in bone mineral density (BMD) measured by dual energy x-ray absorptiometry (DEXA) in response to HRT, thereby identifying who will receive the greatest benefit from such therapy, and to identify those at risk for bone loss.
## Osteomark® monitors the effect of therapy
Figure 1 provides the Osteomark® values throughout the study. Figure 2 provides the percent change from baseline Osteomark® throughout the study.
- The baseline Osteomark® value in the two groups combined was $59 \pm 2.1$ (mean ± sem) nM BCE/mM creatinine.
- In the HRT Group, the values decrease toward the premenopausal mean.
Osteomark® 510(k) Submission
Ostex International, Inc.
{5}
143

Figure 1: Osteomark® Values Throughout the Study

Osteomark® 510(k) Submission
Outre International, Inc.
{6}
Figure 2: Percent Change from Baseline Osteomark® Throughout the Study
Osteomark® 510(k) Submission
Otex International, Inc.
144
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# CALCIUM GROUP
Percent Change from Baseline

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Baseline Osteomark® values and the percent change from baseline to 6 months are predictive of the change in BMD and/or response to HRT.
Figure 4 provides the baseline Osteomark® values and the percent change from baseline to six months stratified into quartiles, with the corresponding percent change in spine BMD after 1 year of HRT.
- Subjects in the highest quartile of Osteomark® values at baseline (67 - 188 nM BCE/mM creatinine), or with the greatest decrease from baseline to 6 months of therapy (-66 to -87%), showed the greatest gain in spine BMD in response to HRT.
Osteomark® 510(k) Submission
Oster International, Inc.
147
{9}
Figure 4: HRT Group - Values of Baseline and Percent Change in Osteomark® to Six Months Stratified by Quartile and Corresponding Percent Change of L1-L4 BMD at 1 Year


Osteomark® 510(k) Submission
Osterx International, Inc.
148
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Contingency table analysis showed that a ≥30% decrease at 6 months was significantly associated (p<0.005) with a positive BMD response to HRT (maintenance or gain in BMD) at 1 year. The binomial 95% confidence intervals for the sensitivity and specificity of using a 30% change in Osteomark® for predicting a response to HRT are: Sensitivity = 80% (95% C.I. 70%, 88%)
Specificity = 59% (95% C.I. 36%, 79%)
The results of using Baye's Rule to define the predictive value positive (PVP) and predictive value negative (PVN) of a 30% change in Osteomark for predicting response are tabulated below for a range of prevalence values. A prevalence of 80% was seen in this study. With higher prevalence rates, low specificity and PVN percent values are indicative of a low number of subjects in the negative response category.
| Prevalence | PVP | PVN |
| --- | --- | --- |
| 60% | 66.1% | 66.3% |
| 70% | 82.0% | 55.8% |
| 80% | 88.6% | 42.4% |
| 90% | 94.6% | 24.7% |
| 99% | 99.5% | 2.9% |
Figure 5 provides the linear regression analysis (y = -0.03x + 1.3), r = -0.34, p = 0.0003) of the percent change from baseline to 6 months Osteomark® and percent change from baseline to 1 year BMD in the HRT Group (R² = 0.12)
Osteomark® 510(k) Submission
Osteo International, Inc.
149
{11}

Figure 5. HRT Group - Linear Regression of Percent Change from Baseline to 6 Months Osteomark and Percent Change from Baseline to 1 Year L1-L4 BMD
Osteomark® 510(k) Submission
Oster International, Inc.
150
{12}
Figure 6 provides the average on-study Osteomark® value for the calcium group stratified into quartiles, with the corresponding percent change in spine BMD after 1 year.
- Subjects maintaining the highest Osteomark® values (>64 nM BCE/mM creatinine) had the greatest decrease in spine BMD.
Figure 6: Calcium Group - Average On-Study Osteomark® Values Stratified by Quartile and Corresponding Percent Change L1-L4 BMD at 1 Year

Osteomark® 510(k) Submission
Osterx International, Inc.
{13}
Osteomark® 510(k) Submission
Osteo International, Inc.
152
Table 1 compares the two treatment groups using Relative Risk analysis.
- A high baseline Osteomark® value (≥67 nM BCE/mM creatinine) indicated a 17.3 times higher risk of loss of spine BMD if not treated with HRT.
Table 1: Relative Risk of Loss of BMD Comparing Calcium and HRT Groups
| Baseline NTx (nM BCE/mM creatinine) | Relative Risk | 95% C.I. |
| --- | --- | --- |
| 18-38 | 1.4 | 0.8 - 2.5 |
| 38-51 | 2.5 | 1.0 - 6.1 |
| 51-67 | 3.8 | 1.6 - 9.1 |
| 67-188 | 17.3 | 2.5 - 118.6 |
## Use of Osteomark® to Monitor Estrogen Suppressing Therapy
A multi-center, non-randomized, prospective, longitudinal clinical trial was conducted to determine the ability of the Osteomark® assay to monitor the effect of estrogen suppressing therapy on bone resorption in premenopausal women (Marshall et.al., 1996). Subjects were given GnRH-agonist therapy 3-6 months for treatment of varied gynecologic disorders.
The following data support the clinical utility of Osteomark® to monitor the effect of estrogen suppressing therapy.
Figure 7 represents the mean (± sem) Osteomark® values obtained throughout the study along with corresponding mean (± sem) estradiol values for each timepoint.
- The mean Osteomark® value at baseline was 44 ± 3 nM BCE/mM creatinine.
- The mean Osteomark® value while estrogen suppressed was 61 nM BCE/mM creatinine, a 68% increase from baseline.
- The mean serum estradiol level was 21 pg/mL during this time period.
- The Osteomark and estradiol values while estrogen suppressed were concordant with postmenopausal ranges of each analyte.
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Figure 7: Osteomark® Values and Serum Estradiol Levels (mean ± sem) During and After Estrogen Suppression Therapy

(N=90, 90, 87, 78, 56, 46, 33, 29, and 52 respectively)

Osteomark® 510(k) Submission
Osteo International, Inc.
153
{15}
Figure 8 provides percent change in Osteomark® from baseline throughout the study for each subject.
- Sixty three percent (55/88) of the subjects had a mean percent change from baseline of ≥ 30% (p=0.025).
- Subjects exhibiting < 30% change (33/88, or 37%) had a mean baseline Osteomark® value that was higher (60 nM BCE/mM creatinine) than those with a ≥ 30% change (35 nM BCE/mM creatinine), accounting for the lesser percent change in Osteomark® in these individuals.
- The average on-therapy Osteomark value for the < 30% change group was lower (51 nM BCE/mM creatinine) than the ≥ 30% group (66 nM BCE/mM creatinine). The 30% change group also tended to lose less bone at the spine than those who had a ≥ 30% change.
Osteomark® 510(k) Submission
Oates International, Inc.
154
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Figure 8: Osteomark® Percent Change from Baseline During and After Estrogen
Suppressing Therapy
Percent Change from Baseline
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| 50 | 1 1 1 | 1 1 1 1 1 1 1 1 1 | 1 1 | 1 1 |
| 40 | 1 1 1 1 | 1 1 1 1 1 | | 1 1 1 1 1 1 |
| 30 | 1 1 1 1 1 1 | 1 1 1 1 1 1 | 1 | 1 1 |
| 20 | 1 1 1 1 1 1 1 | 1 1 1 1 1 | 1 1 1 1 | |
| 10 | 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 | 1 1 1 1 1 | 1 1 | 1 1 |
| 0 | 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 | 1 1 1 1 1 | 1 1 | 1 1 |
| -10 | 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 | 1 1 | 1 | 1 1 |
| -20 | 1 1 1 1 1 1 1 1 | 1 1 | 1 | 1 1 1 1 |
| -30 | 1 1 1 1 | 1 1 | 1 | 1 1 1 1 |
| -40 | 1 1 | 1 | | 1 1 1 1 |
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| -70 | 1 | 1 | | 1 |
| -80 | | | | 1 |
| | Month 1 | Mean of Months 2 to 6 | Post 1 Month | Post 3 Months |
Osteomark® 510(k) Submission
Osteo International, Inc.
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Osteomark® 510(k) Submission
Osteo International, Inc.
156
## Further analysis showed:
- The mean 68% increase from baseline Osteomark® correlated to a mean percent decrease at six months of -3.7% in lumbar spine (L1-L4) BMD (r = -0.46, p<0.01). Three months after cessation of estrogen therapy, the mean Osteomark® value returned to baseline (44 nM BCE/mM creatinine) as serum estradiol levels returned to normal premenopausal levels.
- Lumbar spine BMD remained below baseline (-2.4%) at the 3 month post estrogen suppression therapy timepoint.
## Use of Osteomark® in Therapeutic Monitoring of Anti-Resorptive Therapy in Paget’s Disease of Bone
Paget’s disease of bone is characterized by abnormally elevated rates of bone resorption coupled with elevated bone formation. A study was conducted to determine the ability of Osteomark® to monitor the effect of bisphosphonate therapy on bone resorption in Paget’s disease patients. Subjects (65% male, 81% caucasian) were diagnosed with Paget’s disease based upon radiographic evidence and a serum total alkaline phosphatase level at least twice the upper limit of normal, and were treated with one of three bisphosphonates; alendronate 40 mg/day, orally (n=28), etidronate 400 mg/day, orally (n=24), and pamidronate 60 mg intravenous x3 doses (n=20). Serum and urine specimens were collected at baseline and 1, 3, and 6 months after initiation of therapy. The following data support the clinical utility of Osteomark® to monitor the effect of bisphosphonate therapy on the rate of bone resorption in patients diagnosed with Paget’s disease of bone.
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Table 2 provides Osteomark® values at each timepoint for the three treatment groups combined.
Table 2: Osteomark® Values (nM BCE/mM creatinine) at Baseline and On Therapy (All Therapies Combined)
| Visit* | Mean | sem |
| --- | --- | --- |
| Baseline | 1195 | 155 |
| Month 1 | 599 | 87 |
| Month 3 | 443 | 77 |
| Month 6 | 307 | 63 |
*N= 72, 59, 71, and 69 respectively
Table 3 provides the mean percent change from baseline Osteomark® for each therapy.
- At each timepoint and with all therapies, a clinically significant change in Osteomark® (≥ 30%) was achieved.
Table 3: Percent Change from Baseline Osteomark® by Therapy
| Visit | Alendronate | Etidronate | Pamidronate |
| --- | --- | --- | --- |
| Month 1* | -48% | -39% | -71% |
| Month 3** | -77% | -58% | -67% |
| Month 6*** | -87% | -72% | -71% |
*N = 22, 17, and 20 respectively
**N = 28, 23, and 20 respectively
***N = 27, 22, and 20 respectively
Osteomark® 510(k) Submission
Ortex International, Inc.
{19}
Table 4 provides the Osteomark® values for responders and nonresponders at 6 months using total alkaline phosphatase normalization as the criteria for response.
- The level of total alkaline phosphatase is often associated with the severity of Paget’s disease of bone. Normalization of total alkaline phosphatase levels has been used to determine response to therapy. Using linear regression of the log-transformed baseline Osteomark® and total alkaline phosphatase levels, a significant positive relationship was found in all three treatment groups (r=0.88, 0.74, and 0.87 in the alendronate, etidronate and pamidronate groups respectively; p=0.0001 for all groups). Thus patients with high levels of total alkaline phosphatase also had high levels of Osteomark® at baseline. Again at six months, the correlations of Osteomark and total alkaline phosphatase levels were high, r = 0.88, 0.87, and 0.72 and p=0.0001, 0.0001 and 0.0003 in the alendronate, etidronate and pamidronate groups respectively.
Table 4. Six Month Osteomark® Values (mean ± SD) for Responders and Nonresponders Based on Normalization of Serum Total Alkaline Phosphatase
| | Alendronate | Etidronate | Pamidronate |
| --- | --- | --- | --- |
| Responder* | 31 ± 36 | 32 ± 27 | 66 ± 37 |
| Nonresponder** | 795 ± 867 | 373 ± 355 | 487 ± 759 |
*N = 18, 2, and 9 respectively
**N = 9, 20, and 11 respectively
Osteomark® 510(k) Submission
Osteo International, Inc.
158
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Table 5 provides the percentage of responders (all therapies combined), as defined by the normalization of the marker value (Osteomark® 5-65 nM BCE/mM creatinine, total alkaline phosphatase 39-117 IU/L).
- A decrease of serum total alkaline phosphatase into its normal range has been used as an indicator of therapeutic response. An analogous examination of Osteomark® values over time indicates a similar utility as a measure of response.
- Osteomark provides an earlier assessment than total alkaline phosphatase of therapeutic response, defined by normalization of values, to bisphosphonate therapy.
Table 5. Percent Responders as Defined by Normalization of Marker (number of patients with normalized marker value/total number of patients)
| Visit* | Osteomark Responders | Total Alkaline Phosphatase Responders |
| --- | --- | --- |
| | | |
| Month 1 | 19% | 2% |
| Month 3 | 34% | 28% |
| Month 6 | 42% | 42% |
*N = 59, 71, and 69 respectively
Osteomark® 510(k) Submission
Osteo International, Inc.
{21}
# Use of Osteomark® to Therapeutic Monitoring of Anti-Resorptive Therapy in Osteoporosis
A multi-center, randomized, prospective study was conducted to establish the safety and efficacy of a new amino-bisphosphonate (alendronate) in the treatment of osteoporosis (Liberman et.al, 1995). Study subjects were postmenopausal women, age 45 to 80 years diagnosed with osteoporosis (lumbar spine bone mineral density ≥ 2.5 SD below the mean for mature premenopausal women), randomized to receive either alendronate 10 mg plus calcium supplements (500 mg daily) (alendronate group), or placebo and calcium supplements only (calcium group). Fasting second morning void urine specimens were collected at baseline and periodically throughout the three year study. The following data support the clinical utility of Osteomark® to monitor the rate of bone resorption in osteoporotic women treated with anti-resorptive therapy (alendronate 10 mg).
## Table 6 provides the Osteomark® values for the two groups.
- Three months after initiating treatment 80% (71/89) of the subjects in the bisphosphonate group had an Osteomark® value ≤ 35 nM BCE/mM creatinine. The mean (± SD) percent change from baseline at 3 months was -62% (± 20), 87% (76/87) had a ≥ 40% decrease.
- After 1 year of therapy, the mean percent change from baseline Osteomark® remained similar to the values at 3 months (-65% ± 18); with 90% (77/86) ≤ 35 nM BCE/mM creatinine and 92% (77/84) of the subjects having a ≥ 40% decrease.
- In the calcium only group, the Osteomark® values remained relatively constant, with a mean -13% ± 37 change (mean ± SD) from baseline at 1 year.
Osteomark® 510(k) Submission
Osteo International, Inc.
{22}
Table 6. Osteomark® Values (nM BCE/mM creatinine) in Osteoporotic Patients Treated with Alendronate 10 mg plus Calcium Supplement or Calcium Supplements Only (mean ± SD)
| Treatment Group | Baseline | Month 1 | Month 3 | Month 6 | Month 12 | Month 24 | Month 36 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Alendronate 10mg and Calcium* | 70 ± 33 | 31 ± 21 | 25 ± 16 | 22 ± 13 | 22 ± 13 | 20 ± 9 | 18 ± 9 |
| Calcium only** | 69 ± 33 | 57 ± 28 | 56 ± 26 | 54 ± 26 | 54 ± 25 | 52 ± 21 | 56 ± 20 |
*N = 91, 88, 89, 88, 86, 80, and 78 respectively
**N = 188, 182, 183, 180, 174, 157, and 149 respectively
Osteomark® 510(k) Submission
Osterx International, Inc.
{23}
Figure 9 provides the percent change from baseline Osteomark® through 1 year of the study
Figure 9. Percent Change From Baseline Osteomark® Through 1 Year
Osteomark® 510(k) Submission
Osteo International, Inc.
162
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PLACEBO GROUP
Percent Change from Baseline
| 160 | | | |
| --- | --- | --- | --- |
| 155 | | | * |
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| 95 | | ** | |
| 90 | | | * |
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| 80 | | | *** |
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| 65 | | * | ** |
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| 35 | ** | *** | *** |
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| 15 | *** | *** | *** |
| 10 | *** | ** | *** |
| 5 | *** | *** | *** |
| 0 | *** | *** | *** |
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| -55 | * | * | *** |
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| -65 | ** | *** | ** |
| -70 | | ** | ** |
| -75 | | | * |
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| -85 | | | * |
| -90 | | * | |
| -95 | | | |
| -100 | | | |
1 Month
6 Month
1 Year
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# ALENDRONATE GROUP
Percent Change from Baseline
160
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.