Centre Hospitalier Universitaire d'Orléans
Orléans, Loiret, 45067, France
NCT Number: NCT07739524
In elderly adults, anemia is common and multifactorial. Inflammation, which is frequently observed in hospitalized elderly patients, profoundly alters iron metabolism, making it difficult to accurately assess true iron status.
The objective of this study is to identify a predictive model that can estimate iron deficiency status in the absence of inflammation using transferrin saturation (TSAT) measured during an inflammatory phase. This model could help distinguish true iron deficiency from anemia of inflammation, improve patient management, and reduce decision-making delays.
The study will be conducted in two distinct phases: a pilot phase involving up to 200 patients at a single center in France, followed by a main phase involving 1,523 patients across multiple centers in France. Participants will be adults aged over 75 years who are hospitalized in a geriatric ward and present with an acute inflammatory episode (C-reactive protein [CRP] > 50 mg/L).
In addition to routine analyses performed during hospitalization, supplementary laboratory analyses will be carried out. Following admission in hospital, patients will receive standard medical care. Upon admission or on the following day, patients, their trusted representative, or relatives will be informed about the study. If eligibility criteria are met, the patient will be enrolled.
Research-specific laboratory analyses will be performed on blood samples collected at 4 times:
* the day after admission; * when CRP < 20 mg/L (pilot phase only); * when CRP < 10 mg/L; * five days after a CRP < 10 mg/L. These additional analyses will not require another blood sample, as they will be performed on samples collected as part of routine clinical care. They constitute the main research specific intervention.
Trial opening soon.
Get Notified75 year and older
All sexes
Observational
Orléans, Loiret, 45067, France
In elderly adults, anemia is common and multifactorial. Inflammation, which is frequently observed in hospitalized elderly patients, profoundly alters iron metabolism, making it difficult to accurately assess true iron status.
The objective of this study is to identify a predictive model that can estimate iron deficiency status in the absence of inflammation using transferrin saturation (TSAT) measured during an inflammatory phase. This model could help distinguish true iron deficiency from anemia of inflammation, improve patient management, and reduce decision-making delays.
The study will be conducted in two distinct phases:
The primary objective of the pilot phase is to estimate the proportion of patients with iron deficiency, defined as a transferrin saturation (TSAT) < 20%, in order to confirm the prevalence assumption that will be used in the sample size calculation for the development of a predictive model of iron deficiency in the absence of inflammation.
The primary objective of the main phase is to develop and validate a predictive model for iron deficiency, defined according to the TSAT threshold in a non-inflammatory setting, with non-inflammation defined as a C-reactive protein (CRP) level < 10 mg/L (or < 20 mg/L depending on results of the pilot phase). The model will be based on measurements obtained during an acute inflammatory state in order to predict iron deficiency.
Eligible participants will be patients aged over 75 years who are hospitalized and present an acute inflammatory episode (CRP > 50 mg/L).
In addition to the routine examinations performed during hospitalization, supplementary analyses will be conducted. After admission (Day -1), patients will receive standard care from the medical team. On the day of admission (Day -1) or the following day (Day 0), patients, their trusted representatives, or relatives will be informed about the study. If the patient fulfils the eligibility criteria, he will be enrolled in the study.
Research-specific analyses will be performed on the following blood samples:
These additional analyses will be performed using routine blood samples collected during standard clinical monitoring and will not require any additional blood samples. They constitute the main research-specific intervention beyond standard clinical practice.
The objective is to develop a simple and validated tool to estimate transferrin saturation (TSAT), and potentially ferritin levels, in the absence of inflammation using data obtained during the acute inflammatory phase. This tool could help shorten hospital stays, optimize iron therapy prescribing, and improve the management of hospitalized elderly patients.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Research-specific analyses will be performed on the following blood samples:
Time frame: From enrollment to the end of study at 4 weeks maximum
To estimate the proportion of patients with iron deficiency, defined as transferrin saturation (TSAT) < 20%, in order to validate the prevalence assumption that will be used in the sample size calculation for the development of a predictive model of iron deficiency under non-inflammatory conditions
Time frame: From enrollment to the end of study at 4 weeks maximum
Transferrin saturation (TSAT) will be measured at baseline and when CRP < 10 mg/L (or < 20 mg/L, depending on results of the pilot phase). Iron deficiency will be defined as a TSAT < 20%. The predictive performance of the model for estimating TSAT under non-inflammatory conditions and the agreement between predicted and observed TSAT values under non-inflammatory conditions will be assessed.
Time frame: From enrollment to the end of study at 4 weeks maximum
To estimate the proportion of patients with CRP < 20 mg/L and the proportion of patients with CRP < 10 mg/L, in order to refine the study population for the development of the predictive model of iron deficiency under non-inflammatory conditions.
Time frame: From enrollment to the end of study at 4 weeks maximum
For collinearity: Associations between candidate predictors will first be assessed through bivariate analyses (Spearman's or Pearson's correlation coefficient for two continuous variables, Cramér's V for two categorical variables, and point-biserial correlation for a continuous/binary variable pair), using a predefined alert threshold of |r| or V > 0.7. A variance inflation factor (VIF) will then be calculated for each predictor retained after this initial step; variables with a VIF > 5 will be excluded.
For rare categories: Frequency distributions will be examined for each categorical variable. A category will be considered too rare if it represents less than 5% of the subgroup sample size.
Time frame: From enrollment to the end of study at 4 weeks maximum
Correlation between transferrin saturation measured during inflammation (baseline sample) and transferrin saturation measured once C-reactive protein (CRP) levels have decreased to < 10 mg/L.
Time frame: From enrollment to the end of study at 4 weeks maximum
Ferritin will be assessed at baseline and when CRP is < 10 mg/L (or < 20 mg/L, depending on the results of the pilot phase). Iron deficiency will be defined by a ferritin level < 100 µg/L. The predictive performance of the model for estimating ferritin under non-inflammatory conditions and the agreement between predicted and observed ferritin values under non-inflammatory conditions will be assessed.
Time frame: From enrollment to the end of study at 4 weeks maximum
Iron status parameters assessed when CRP < 10mg/l and 5 days post CRP < 10mg/l.
Contact information is provided by the study sponsor or research team.
Fanny LOUAT
CONTACT
0238744295 ext. +33
Moez JALLOULI, Principal Investigator
CONTACT
02 38 61 30 15 ext. +33
Centre Hospitalier Régional d'Orléans
Other
Predicting Iron Deficiency and Related Iron Parameters Outside Inflammation in Hospitalized Elderly Patients: A Prospective Study
Acronym: IRON-SAGE
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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