Background: Disorders of iron homeostasis, including iron
deficiency and iron overload, represent clinically important and biologically
interconnected conditions. Iron deficiency remains the most common nutritional
deficiency worldwide and a major cause of Anemia, impaired cognitive function,
and adverse pregnancy outcomes. Conversely, iron overload—most commonly due to
hereditary hemochromatosis or secondary causes—can lead to progressive
parenchymal iron deposition, culminating in hepatic, cardiac, and endocrine
complications. Real-world comparative data across the full spectrum of iron
dysregulation in hospital-based populations remain limited.
Objectives: The primary objective of this study is to
characterise demographic patterns and biochemical profiles of iron deficiency
and iron overload and to identify independent predictors using routinely available
laboratory parameters.
Methods: A retrospective study was conducted in 110 patients
who underwent iron profile testing at a tertiary care centre. Patient data were
extracted from the hospital’s electronic health records. Patients were
categorised into iron deficiency, normal iron status, and iron overload groups
using predefined cut-offs for serum ferritin, serum iron, total iron-binding
capacity (TIBC), and transferrin saturation (TSAT). Laboratory analyses were
performed in an accredited clinical laboratory using standardised automated
immunoassays and spectrophotometric techniques. Group comparisons were
performed using appropriate statistical tests, and multivariable logistic
regression was used to identify independent predictors.
Results: Iron-deficient patients were significantly younger
and more likely to be female, with markedly lower ferritin and TSAT and
significantly higher TIBC (p < 0.001). The iron overload group showed
significantly elevated ferritin and TSAT with a male predominance and
relatively lower TIBC. Post-hoc analysis confirmed significant differences
across all groups. Female sex, younger age, and higher TIBC independently
predicted iron deficiency, while older age and elevated TSAT were associated
with iron overload.
Conclusions: Hospital-based patients demonstrate clear
demographic and biochemical stratification across iron status categories. The
findings emphasise the importance of interpreting iron parameters as an
integrated panel rather than in isolation. Integrated interpretation of iron
indices, together with simple demographic variables, may improve early
identification and risk stratification of iron dysregulation in routine
clinical practice. Given the single-centre, retrospective design, future
multicenter prospective studies with larger sample sizes are warranted to
validate these findings and assess their clinical applicability across diverse
populations.
Author(s) Details
Kuldeep Singh
Shri Mata Vaishno Devi Institute of Medical Excellence, Katra, India.
Sonalika Rajput
Government Medical College, Jammu, India.
Rohit
Shri Mata Vaishno Devi Institute of Medical Excellence, Katra, India.
Abid Manzoor
Shri Mata Vaishno Devi Institute of Medical Excellence,
Katra, India.
Eishita Gupta
SMVDIME, J&K, India.
Please see the book here :- https://doi.org/10.9734/bpi/msup/v6/6980
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