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A Multi-Center Study to Assess the Performance of Saturation Patterns.

A Multi-Center Study to Assess the Performance of the Saturation Pattern Detection (SPD) Software Algorithm.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00775346
Enrollment
92
Registered
2008-10-20
Start date
2008-08-31
Completion date
2008-10-31
Last updated
2014-08-07

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

Conditions

Central Sleep Apnea, Obstructive Sleep Apnea, Sleep Apnea, Sleep-Disordered Breathing

Brief summary

A multi-center, prospective, single-visit study designed to acquire physiologic pulse oximeter waveform data during standard polysomnography (PSG) studies performed at multiple different Sleep Lab Centers.

Detailed description

The polysomnograms are clinically indicated studies in patients suspected of having sleep-disordered breathing, including, but not limited to: obstructive sleep apnea, complex sleep apnea and/or central sleep apnea. Subjects who have been prescribed with needing a polysomnography (PSG) will be enrolled into the study.

Interventions

None listed

Sponsors

Medtronic - MITG
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Subjects will be referred to the Sleep Lab Center for evaluation of possible sleep-disordered breathing. * Polysomnography (PSG) is obtained as part of normal, standard clinical practice. * Subject is able to and willingly signs the informed consent form.

Exclusion criteria

* Subject and/or parent/legal guardian is, in the opinion of the investigator, mentally and/or physically unable to provide informed consent/child assent and/or to complete all requirements of the protocol. * Subject is currently participating in or has participated in an investigational drug study within seven (7) days of enrollment.

Design outcomes

Primary

MeasureTime frameDescription
Sensitivity and Specificity Data of the Saturation Pattern Detection (SPD) Feature as a Predictor of Repetitive Reductions in Airflow (RRiA).9 HoursSensitivity and specificity were computed from the count of instances in which the Saturation Pattern Detection (SPD) index value (vs. Polysomnography) within a discrete ten minute interval correctly identified a Repetitive Reduction in Airflow (RRiA) as being present within that interval (True Positive), absent (True Negative), or incorrectly identified presence or absence (False Positive and False Negative, respectively). Sensitivity is True Positive divided by True Positive plus False Negative TP/(TP+FN). Specificity is True Positive divided by True Negative plus False Positive TP/(TN+FP).

Countries

United States

Participant flow

Recruitment details

Patients were enrolled from 08/19/2008 to 10/14/2008 from 3 medical clinics in the United States.

Participants by arm

ArmCount
Polysomnography (PSG) Subjects
Subjects who have been prescribed with needing a Polysomnography (PSG) will be enrolled into the study.
92
Total92

Baseline characteristics

CharacteristicPolysomnography (PSG) Subjects
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
16 Participants
Age, Categorical
Between 18 and 65 years
76 Participants
Age, Continuous52.7 years
STANDARD_DEVIATION 13
Region of Enrollment
United States
92 participants
Sex: Female, Male
Female
41 Participants
Sex: Female, Male
Male
51 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
— / —
other
Total, other adverse events
0 / 92
serious
Total, serious adverse events
0 / 92

Outcome results

Primary

Sensitivity and Specificity Data of the Saturation Pattern Detection (SPD) Feature as a Predictor of Repetitive Reductions in Airflow (RRiA).

Sensitivity and specificity were computed from the count of instances in which the Saturation Pattern Detection (SPD) index value (vs. Polysomnography) within a discrete ten minute interval correctly identified a Repetitive Reduction in Airflow (RRiA) as being present within that interval (True Positive), absent (True Negative), or incorrectly identified presence or absence (False Positive and False Negative, respectively). Sensitivity is True Positive divided by True Positive plus False Negative TP/(TP+FN). Specificity is True Positive divided by True Negative plus False Positive TP/(TN+FP).

Time frame: 9 Hours

ArmMeasureGroupValue (MEAN)
Polysomnography (PSG) SubjectsSensitivity and Specificity Data of the Saturation Pattern Detection (SPD) Feature as a Predictor of Repetitive Reductions in Airflow (RRiA).Sensitivity of Automated Assessment0.820 Ratio
Polysomnography (PSG) SubjectsSensitivity and Specificity Data of the Saturation Pattern Detection (SPD) Feature as a Predictor of Repetitive Reductions in Airflow (RRiA).Specificity of Automated Assessment0.897 Ratio

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