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CompletedNCT03233568Updated Jul 28, 2017

Use of Indirect Calorimetry in Obesity

An observational study in Metabolism Disorder and Overweight and Obesity, sponsored by Ospedale San Donato. Completed at 1 site in Italy. Open to participants aged 20 Years to 86 Years. Per ClinicalTrials.gov, last updated 2017-07-28.

Sponsored by Ospedale San Donato · Observational

Study type
Observational
Model
Case-control
Time perspective
Retrospective
Enrollment
355
Ages
20 Years to 86 Years
Sex
All
01

Study summary

The investigators will retrospectively analyze and compare data of 2 groups of overweight and obese patients: subjects who followed a diet based on Resting Energy Expenditure (REE) measured by indirect calorimetry and subjects who followed a diet based on REE estimated by the Harris-Benedict equation. Propensity score adjustment will be used to adjust for known differences between the 2 groups

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Conditions studied

  • Metabolism Disorder
  • Overweight and Obesity
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In context

Obesity

6,296 studies on the registry are indexed under Obesity; 1,695 are open to participants now.

This study's enrollment of 355 is above the median of 135 across 1,283 observational studies indexed under Obesity.

Browse Obesity studies →

Lead sponsor

Ospedale San Donato is the lead sponsor of 25 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
20 Years to 86 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

To collect clinical data of a total population comprising patients referred to our Endocrinology-Diabetes Outpatient Clinic, in the period from April 2012 through October 2016.

In this retrospective study, will be considered patients with an age ranging from 20 to 86 years, with overweight (25 ≤ BMI ≤ 29.9) or obesity (BMI ≥ 30), requiring dietary intervention for weight control.

Statistical analysis will perform on overweight and obese patients divided into two subgroups: IC group and NO-IC group.

Anthropometric status and metabolic biomarkers will re-evaluated at check-ups performed after 3 months, 6 months, 12 months and 18 months from the baseline.

Inclusion criteria

  • BMI >25
  • Age ranging from 20 to 86 years

Exclusion criteria

Exclusion Criteria:

  • BMI\<25
  • Age \<20
  • Age >86
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Study design

Observational model
Case-control
Time perspective
Retrospective
Enrollment
355 participants (actual)
Patient registry
No

Groups and cohorts

  • Indirect Calorimetry group (IC group)

    Group who performed indirect calorimetry. REE measured by indirect calorimetry.

    Diagnostic Test: Indirect calorimetry

  • NO Indirect Calorimetry group (NO-IC group)

    Group who did not perform indirect calorimetry. Resting Energy Expenditure calculated by Harris-Benedict formula

Interventions

  • Diagnostic testIndirect calorimetry

    Indirect calorimetry will be performed by using an open-circuit calorimeter (Sensor Medics, Italy). Indirect calorimetry is the reference method for energy expenditure determination. A canopy hood covered the patient's head and expired air is extracted by a pump to be analyzed by metabolic cart sensors; flow rate is directly measured with a digital turbine flowmeter. After an overnight fast, patients will asked to lay supine in complete physical rest, not sleeping or talking for approximately 20-25 minutes, at a room temperature ranged between 22 and 24°C. The mean REE for each participant considers the last 15-20 minutes of measurements corresponding to steady state. Software of calorimeter will be set for minute-by-minute reading report of VO2 (Oxygen flow) and VCO2 (Carbon dioxide flow) measurement. Parameters obtained by Indirect Calorimetry will be the Resting Energy Expenditure and the Respiratory Quotient (RQ)

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What researchers measure

Primary outcomes

  1. Weight in Indirect Calorimetry group and in NO Indirect Calorimetry group

    To compare body weight variation (kg) in two groups of overweight or obese patients: subjects who followed a diet formulated on REE measured by IC (IC group) and subjects who followed a diet based on REE predicted by the Harris-Benedict formula (NO-IC group)

    Time frame: 18 months

  2. BMI in Indirect Calorimetry group and in NO Indirect Calorimetry

    To compare BMI variation (kg/m\^2) in two groups of overweight or obese patients: subjects who followed a diet formulated on REE measured by IC (IC group) and subjects who followed a diet based on REE predicted by the Harris-Benedict formula (NO-IC group)

    Time frame: 18 months

Secondary outcomes

  1. Weight in male/female in Indirect Calorimetry group and in NO indirect Calorimetry group

    To identify gender differences in weight variation (kg) between IC and NO-IC groups

    Time frame: 18 months

  2. BMI in male/female in Indirect Calorimetry group and in NO indirect

    To identify gender differences in BMI variation (kg/m\^2) between IC and NO-IC groups

    Time frame: 18 months

Other outcomes

  1. Weight in adequate to predicted REE and in NOT adequate to predicted REE subpopulations

    to compare body weight variation (kg) in two sub-populations of the IC-group: subjects with adequate to predicted REE and subjects with not adequate to predicted REE

    Time frame: 18 months

  2. BMI in adequate to predicted REE and in NOT adequate to predicted REE subpopulations

    to compare BMI variation in two sub-populations of the IC-group: subjects with adequate to predicted REE and subjects with not adequate to predicted REE

    Time frame: 18 months

  3. Weight in subjects with RQ<0.9 and subjects with RQ>0.9

    to compare body weight variation in 2 subpopulation of the IC group: subjects with an RQ ≤ 0.9 and subjects with RQ \> 0.9.

    Time frame: 18 months

  4. BMI in subjects with RQ<0.9 and subjects with RQ>0.9

    BMI variation in 2 subpopulation of the IC group: subjects with an RQ ≤ 0.9 and subjects with RQ \> 0.9.

    Time frame: 18 months

  5. Glucose in Indirect Calorimetry group and in NO Indirect Calorimetry Group

    to identify differences in glucose (mg/dl) variation between IC and NO-IC groups

    Time frame: 18 months

  6. Tryglycerides in Indirect Calorimetry group and in NO Indirect Calorimetry Group

    to identify differences in tryglycerides (mg/dl) variation between IC and NO-IC groups

    Time frame: 18 months

  7. Total cholesterol (mg/dl) in Indirect Calorimetry group and in NO Indirect Calorimetry Group

    to identify differences in cholesterol variation between IC and NO-IC groups

    Time frame: 18 months

  8. Hemoglobin in Indirect Calorimetry group and in NO Indirect Calorimetry Group

    to identify differences in glycated hemoglobin (%) variation between IC and NO-IC groups

    Time frame: 18 months

  9. Uric acid in Indirect Calorimetry group and in NO Indirect Calorimetry Group

    to identify differences in uric acid (mg/dl) variation between IC and NO-IC groups

    Time frame: 18 months

07

Study locations

1 site
  • San Donato Hospital
    San Donato Milanese, MI 20097, Italy
08

References and documents

Publications

  • Massarini S, Ferrulli A, Ambrogi F, Macri C, Terruzzi I, Benedini S, Luzi L. Routine resting energy expenditure measurement increases effectiveness of dietary intervention in obesity. Acta Diabetol. 2018 Jan;55(1):75-85. doi: 10.1007/s00592-017-1064-0. Epub 2017 Nov 3. PubMed 29101542 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 28, 2017, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03233568
Lead sponsor
Ospedale San Donato
Responsible party
Anna Ferrulli (Sub-Investigator, Ospedale San Donato) — Principal investigator
First posted
Jul 28, 2017
Start date
Apr 1, 2012
Primary completion
Oct 31, 2016
Completion
Oct 31, 2016
Last update
Jul 28, 2017

Study contacts

Livio Luzi, Professor
principal investigator · IRCCS Policlinico S. Donato

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jul 2017. You cannot join it, but the record below documents what was studied.

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