scholarly journals Effect of Iron Deficiency Anemia on HbA1c in Non-Diabetics

2020 ◽  
Vol 4 (1) ◽  
pp. 10-16
Author(s):  
R.K. Bansal ◽  
Y.R. Yadav ◽  
H.S. Kulkarni ◽  
Sonam ◽  
S. Garg ◽  
...  
Keyword(s):  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Hba1c Level ◽  
Deficiency Anemia ◽  
Control Group ◽  
P Value ◽  
Case Group ◽  
Diabetic Patients ◽  
Iron Deficient ◽  
Hba1c Levels

Background: Glycated hemoglobin A1c is a well-known indicator of glycemic control in diabetes patients. It comprises of 5% of total hemoglobin in non-diabetic patients as well. Iron Deficiency Anemia is most common cause of anemia, especially in this part of the world. So, we study the effects of Iron deficiency Anemia on HbA1c levels in non-diabetic adults to determine whether the HbA1c levels increase if any. Methods: A 100 non-diabetic adult patients with Iron Deficiency anemia admitted in various medicine wards and attending OPDs of J.L.N. Medical College and 100 healthy controls were enrolled after fulfilled inclusion and exclusion criteria. Detailed history of clinical examination and biochemical examination was performed including HbA1c. Results: Mean HbA1c level is more in iron deficient Anemic non-diabetic patients in comparison to non-Anemic non-diabetic patients. Mean HbA1c is 5.01 ± 0.41 in control group. While mean HbA1c level in case group is 6.11 ± 0.42. The difference is statistically significant (p value <.001). Conclusion: Iron deficiency Anemia is independent factor affecting HbA1c level in non diabetic patients & it should be interpreted carefully in all iron deficient anemic patients.  

scholarly journals THE EFFECT OF IRON DEFICIENCY ANEMIA ON GLYCATED HEMOGLOBIN (HBA1C) IN NON DIABETIC ADULTS

2019 ◽  
Vol 3 (8) ◽  
Author(s):  
Dr. Suman Choudhary ◽  
Dr. Sukh Dev Choudhary ◽  
Dr. Himanshi Choudhary ◽  
Dr. Ronak Gandhi
Keyword(s):  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Deficiency Anemia ◽  
Diabetic Patients ◽  
Glucose Levels ◽  
Uncontrolled Diabetes ◽  
Iron Deficient ◽  
Healthy Control ◽  
Sugar Levels ◽  
Hba1c Levels

Background: Iron deficiency anemia is the most common form of anemia in India. Hemoglobin A1c (HbA1c) is used in diabetic patients as an index of glycemic control reflecting glucose levels of the previous 3 months. Like blood sugar levels, HbA1c levels are also affected by the presence of variant hemoglobins, hemolytic anemias, nutritional anemias, uremia, pregnancy, and acute blood loss. Previous studies suggest that iron deficiency anemia (IDA) affects the levels of HbA1c. Methods: A prospective observational study on 50 iron deficiency patient cases and 50 healthy control. Exclusion and inclusion criteria were used to recruit cases from the wards and OPDs of the hospital. Appropriate descriptive statistics was used to analyse the data. Results: The HbA1C was significantly higher in the iron deficiency patients as compare to the control (5.88 ± 0.41 vs 5.03 ± 0.17, respectively, P < .05). Conclusion: Our results showed that iron deficiency was associated with higher proportions of HbA1c, which could cause problems in the diagnosis of uncontrolled diabetes mellitus in iron-deficient patients. Keywords: Non-Diabetic Patient, Glycosylated Haemoglobin, Iron Deficiency Anaemia.

scholarly journals Association between iron deficiency anemia and HBA1C level in diabetic patients with controlled plasma glucose levels.

2020 ◽  
Vol 27 (09) ◽  
pp. 1849-1854
Author(s):  
Muhammad Danish Qureshi ◽  
Saman Waqar ◽  
Muhammad Ihtesham Khan ◽  
Lubna Naseem
Keyword(s):  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Plasma Glucose ◽  
Hba1c Level ◽  
Deficiency Anemia ◽  
Diabetic Patients ◽  
Care Providers ◽  
Female Ratio ◽  
Iron Deficient ◽  
Study Population

Objectives: To determine association of iron deficiency anemia on hba1c level in diabetic patients. Study Design: Cross Sectional Analytical study. Setting: Department of Pathology PIMS Hospital. Period: From June 2018 to December 2018 (6 months duration). Material & Methods: A total of 117 diagnosed cases of diabetes mellitus were included in the study. Pregnant women, patients with end-stage renal disease, hypothyroidism, +hemoglobinopathies, hemolytic anemia, chronic liver disease and malignancy, participants with poorly controlled diabetes, and patient from the northern areas were excluded from the study. Patients were divided according to their fasting plasma glucose (FPG) level. FPG of 126mg/dl was used as a cut-off point for dividing the study population into two groups, i.e controlled sugar level (FPG between 100 and 126 mg/d L) and well controlled sugar level (FPG less than 100 mg/d L). Variables such as Hemoglobin, serum ferritin, serum Hba1c level etc. Results: Mean age of study population in the present study was 56.97±7.29 years. Out of 117 cases, about 45(38.5%) cases were female and 72 (38.5%) were male. Male to female ratio was 1: 1.6.Mean FPG level was 103.3±7.6 in our study population. The mean hba1c levels in the sample was 6.42±0.70 %. Mean Hb levels were recorded as 11.5±2.7 and 10.9±3.03 g/dl, respectively in female and male. From a total of 117 cases, only 66 were identified as having iron deficiency anemia. Only 54 patients had plasma glucose greater than 100 mg/dl. Odds ratio for hba1c>6.5% in iron deficient was 3.90(p=0.001). Conclusion: Iron deficiency can cause elevated serum hba1c level. Health care providers, including physicians, must consider the iron status before prescribing diabetics treatment on the basis of serum hba1c level.

The association between iron deficiency anemia and febrile seizure

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Parviz Karimi ◽  
Koroush Sayehmiri ◽  
Milad Azami ◽  
Zeinab Tardeh
Keyword(s):  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Febrile Seizure ◽  
Hemoglobin Concentration ◽  
Deficiency Anemia ◽  
Control Group ◽  
Case Group ◽  
Mean Corpuscular Hemoglobin ◽  
Protective Effects ◽  
Corpuscular Hemoglobin

Abstract Objective Different studies have reported contradictory results regarding the relationship between iron deficiency anemia (IDA) and febrile seizure (FS). The present study was conducted to determine the effect of IDA on FS in children. Patients and methods This case-control study was conducted among 52 children with FS (the case group) and 18 children with afebrile seizures and 51 children with fever without seizures in the age range of 6 months to 5 years admitted to the pediatric ward of Imam Khomeini Hospital in Ilam from March 2016 to January 2017. Patients were selected using the convenience sampling method. Red blood cell (RBC) count as well as measurement of hemoglobin (Hb), hematocrit (Hct), ferritin, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) levels were performed in all patients. The collected data were analyzed using SPSS16 software. Results A total of 34.6% in the FS group, 66.7% in the afebrile seizure group and 41.2% in the fever without seizure group suffered from IDA, which was not statistically significant between the three groups. Hb, Hct and RBC levels were higher in the case group and MCV, MCH, MCHC levels in the case group were lower than those in the control group. The odds ratio (OR) for FS compared to the febrile group was 0.756 [95% confidence interval (CI) = 0.34–1.68; p = 0.493] and that for FS compared to seizure was 0.265 (95% CI = 0.085–0.823; p = 0.022). Conclusions This study showed that IDA may have protective effects on the onset of FS, and based on the results, IDA is more common in children with afebrile seizures. Further and more comprehensive studies are recommended.

scholarly journals Iron Deficiency Anemia as a Risk Factor for Osteoporosis: A nationwide Population-Based Study

2017 ◽  
Author(s):  
Mei-Lien Pan ◽  
Li-Ru Chen ◽  
Hsiao-Mei Tsao ◽  
Kuo-Hu Chen
Keyword(s):  
Risk Factor ◽  
Iron Deficiency ◽  
Blood Transfusion ◽  
Iron Deficiency Anemia ◽  
Hazard Analysis ◽  
Population Based ◽  
Deficiency Anemia ◽  
Control Group ◽  
Case Group ◽  
Research Database

The cause-effect relationship between iron deficiency anemia (IDA) and osteoporosis has not been established in the general population. Thus, the current longitudinal study determined the role of IDA as a risk factor for osteoporosis by analyzing a large nationwide population-based sample. In a sample of 1,000,000 randomly sampled individuals from the 1998-2012 Taiwan National Health Insurance Research Database, patients with IDA (case group [n=35,751]) and individuals without IDA (control group [n=178,755]) were compared. Patients who were &lt;20 years of age and who had pre-existing osteoporosis prior to the diagnosis of IDA were excluded. Each patient with IDA was age- and gender-matched to 5 individuals without IDA. The diagnoses of IDA and osteoporosis (coded using ICD-9CM) were further confirmed with blood test results and X-ray bone densitometry to ensure the accuracy of the diagnoses. Osteoporosis occurred more often among patients with IDA compared to individuals without IDA (2.27% vs. 1.32%, p&lt;0.001). Cox proportional hazard analysis revealed that the risk for osteoporosis was significantly higher in the case than the control group (hazard ratio [HR]=1.74; 95% CI=1.61-1.88) and remained similar after adjustment for covariates (adjusted HR=1.81; 95% CI=1.67-1.97). Compared with individuals without IDA, the risk for osteoporosis was even higher for patients with IDA who received intravenous ferrum therapy (adjusted HR=2.21; 95% CI=1.85-2.63). In contrast, the risk for osteoporosis was reduced for patients with IDA who received a blood transfusion (adjusted HR=1.47; 95% CI=1.20-1.80). As a predictor, prior IDA is a significant and independent risk factor for development of osteoporosis. In contrast to blood transfusion treatment, the use of intravenous ferrum may further increase the risk for future osteoporosis.

scholarly journals STATUS OF HbA1c;

2012 ◽  
Vol 20 (01) ◽  
pp. 054-059
Author(s):  
NUDRAT ANWAR ZUBERI ◽  
NAVEED AHSAN ◽  
ALIYA JAFRI ◽  
Tehseen Iqbal ◽  
Tahira Parveen
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Serum Iron ◽  
Iron Status ◽  
Tertiary Care ◽  
Deficiency Anemia ◽  
Diabetic Patients ◽  
Iron Deficient

Background: Glycated hemoglobin [HbA1c] is a marker to identify the average plasma glucose level over past threemonths but it is also influenced by the iron deficiency status of an individual. Objective: Research is designed to assess the relationshipbetween HbA1c concentration and iron status among diabetic and non diabetic subjects. Design: Cross sectional comparative study.Setting: Tertiary Care Unit of Karachi, Pakistan. Period: Dec 2010 till June 2011. Material and methods: A total of 75 subjects of bothsexes were taken and divided into three groups. Fasting and random glucose levels, serum iron and TIBC were performed by enzymaticmethod while HbA1c was estimated by fast iron resin separation method and Complete blood count (CBC ) was done by Coulter.Statistical analysis: The data feeding and analysis was on computer package SPSS (Statistical Packages of Social Sciences) version16.0. the results were given in the mean and Standard Deviation (SD) and correlation ( r ) for quantitative data i.e. age, FBS, RBS, HbA1c,Serum Iron , Hb HCT, and TIBC. Using Analysis of Variance (ANOVA) with tukey test for comparison (Controls, Iron deficiency anemia withand without diabetes mellitus). In all statistical analysis only p < 0.01 will be considered significant. Results: HbA1c is a non-specificmarker of Diabetes mellitus in iron deficieny anemia patients. Thus it is reccomended that iron status of diabetic patients must beconsidered while interpreting results. This study showed significantly raised levels of Fasting blood glucose (FBS), random blood glucose(RBS) and HbA1c in diabetic anemic patients when compared to control and nondiabetic anemic subjects (p < 0.01) while total ironbinding capacity (TIBC) and HbA1c in nondiabetic anemic subjects were also significantly raised when compared to control (p < 0.01).Hemoglobin (Hb) , Hematocrit (HCT) and Serum Iron levels were significantly decreased in diabetic and nondiabetic anemic subjectswhen compared to control (p < 0.01). Conclusions: Our study depicted that while diagnosing Diabetes mellitus in iron deficient patientsone should be carefull as HbA1c is not a very reliable parameter to assess glycemic control in iron deficiency anemia patients.

scholarly journals ANEMIC PATIENTS

2015 ◽  
Vol 22 (12) ◽  
pp. 1550-1554
Author(s):  
Tayyaba Majeed ◽  
Rabia Adnan ◽  
Zahid Mahmood ◽  
Ishrat Majeed ◽  
Kanwal Saba ◽  
...  
Keyword(s):  
Iron Deficiency ◽  
Pregnant Women ◽  
Iron Deficiency Anemia ◽  
Preterm Labor ◽  
Deficiency Anemia ◽  
Control Group ◽  
P Value ◽  
Increased Risk ◽  
Study Setting ◽  
Control Study

Pregnant women are particularly considered to be the most vulnerable groupbecause of the additional demands that are made on maternal stores during pregnancy. Theiron deficiency anemia is the most common nutritional deficiency problems in females and isresponsible of high maternal death rate in our society. Objectives: To determine the relationshipof frequency and severity of iron deficiency anemia to preterm labor and eventual perinatalout come in anemic patients. Study Design: It was a case control study. Study Setting: InObstetrics and Gynecology Unit-III, Sir Ganga Ram hospital, Lahore from July 2012 to June2013. Methodology: The study was conducted on 200 patients (100 cases and 100 controls)were studied. Cases were patients admitted in labor room with preterm labor and Controlswere females in labor at term at. Convenience sampling was done. On admission relevanthistory taking examination and investigation were done. The data was collected on a Performa.Results: There were 50 patients with anemia amongst the patients with preterm labor. In thecontrol group, 40 patients were suffering from anemia. In the patients with preterm labor themean hemoglobin was 9.83 grams/deciliter. In the control group the mean hemoglobin was10.3gm/dl. (Pregnant women having hemoglobin <10gm/dl are considered to be anemic). Theodds ratio was calculated to be 3.4 and P value was <0.05. Conclusions: Iron deficiencyanemia was associated with increased risk for low birth weight, preterm delivery, and perinatalmortality. The frequency of iron-deficiency anemia was seen in both groups of pregnant women.

scholarly journals The association between iron deficiency anemia and febrile seizures

2021 ◽  
Vol 8 (2) ◽  
pp. 314
Author(s):  
Mallikarjun Kalmani ◽  
. Basavaraj ◽  
Hareesh Sanikam ◽  
Pushpalatha K. ◽  
Uday Kumar S.
Keyword(s):  
Risk Factor ◽  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Febrile Seizures ◽  
Deficiency Anemia ◽  
Cns Infection ◽  
Control Group ◽  
P Value ◽  
Female Ratio ◽  
Male Predominance

Background: Febrile seizures are seizures that occur in children between  6 months and 60 months of age , with body temperature of 38ºC or higher not resulting from Central Nervous System (CNS) infection or any metabolic imbalance without any prior afebrile seizures. Among many risk factors identified for febrile seizures, iron deficiency is hypothesized to be one of the risk factor for occurrence of febrile seizures.Methods: A total of 100 children aged between 6 months to 5 years were included in the present study and were  further divided into 2 groups of 50 each, as cases and controls. Control group consisted of age and gender matched children admitted with acute febrile illness without seizures. A detailed history was taken and clinical examination was done in both cases and controls with particular attention to development delay and family history of seizure. Complete haemogram, iron profile and other appropriate investigations were done in both the groups and results were compared.Results: The mean age of onset of febrile seizures was 32 months. There was slightly male predominance, with male: female ratio of 1.27:1. Majority of children with febrile seizures were found to have iron deficiency anemia as opposed to children in control group which was statistically significant. (76% vs 28%), p-value<0.001. All the indices of iron deficiency anemia, like haemoglobin, MCV, MCH, serum iron, serum ferritin were low in febrile seizures group compared to control group. The difference was found to be statistically significant (p-value<0.001).Conclusions: Iron deficiency anemia (IDA) was more frequent among children with febrile seizures. The result suggests that IDA may be a risk factor for febrile seizures. Early detection and timely correction of iron deficiency may be of help for prevention of recurrence of febrile seizures in children of this age group.

scholarly journals Determining the Predictive Power of Vitamin D Levels in Iron Deficiency Anemia

2019 ◽  
Vol 1 (1) ◽  
pp. 29-35
Author(s):  
Sorush Niknamian
Keyword(s):  
Vitamin D ◽  
Iron Deficiency ◽  
Vitamin D Deficiency ◽  
Iron Deficiency Anemia ◽  
Serum Levels ◽  
Deficiency Anemia ◽  
Control Group ◽  
Case Group ◽  
Roc Curve Analysis ◽  
Vitamin D Levels

Background:Iron deficiency anemia is one of the most common hypochromic microcytic anemias and nutritional disorders in today’s world. Vitamin D is an important steroid hormone for the metabolism of serum calcium and phosphorus and plays a major role in the function of various body systems. Evidence suggests that vitamin D deficiency is associated with iron deficiency anemia. We aimed to compare the serum level of vitamin D between children with iron deficiency anemia and healthy ones. Methods: This case-control study was conducted on 60 patients with iron deficiency anemia and 60 healthy ones who did not suffer from iron deficiency anemia. Patients participated in the study voluntarily. Vitamin D levels were measured using HPLC and ferritin by RIA method. To estimate the predictive value of vitamin D levels in iron deficiency anemia, ROC curve analysis was used.  Results: In this study, 120 children aged 6-144 months with mean age of 30.2±31.4 months were analyzed; 49.2% of them were boys and 50.8% were girls. Vitamin D levels varied from 4.8 to 63.2 ng/ml with a mean of 23.87±12.57 ng/ml in all patients (19.25±9.15 ng/ml in the case group and 28.48±13.84 ng/ml in the control group (P<0.001). In other words, patients with a vitamin D level <23.6 ng/ml should be investigated for iron deficiency anemia, and sufficient vitamin D had a protective effect on iron deficiency anemia and each unit increase in vitamin D decreased the chance of iron deficiency anemia by 7.8%. Conclusion: The prevalence of simultaneous iron deficiency anemia and vitamin D deficiency is very high in children and there is a significant relationship between serum levels of 25(OH)D and hemoglobin.

scholarly journals Recent Versus Conventional Iron Status Parameters for Diagnosis of Anemia in Juvenile Idiopathic Arthritis Patients

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3360-3360
Author(s):  
Hoda MA Hassab ◽  
Wafaa A El-Neanaey ◽  
Ghada M F El-Deriny ◽  
Eman El-Mahy
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Iron Status ◽  
Deficiency Anemia ◽  
Control Group ◽  
P Value ◽  
Different Types ◽  
Serum Hepcidin ◽  
Sensitivity Specificity

Abstract Objective: Juvenile Idiopathic Arthritis (JIA) is commonly associated with different types of anemia. The diagnosis and treatment of IDA is a medical necessity; being a well-recognized cause of both short and long term morbidity plus being strongly related to poor disease outcome. In the presence of concomitant chronic illness or inflammation, the diagnosis of iron deficiency using the conventional laboratory parameters is a major medical challenge. Therefore, the utility of two recent iron status parameters; hepcidin-25 "active form of iron metabolism negative regulator" and reticulocyte hemoglobin content (CHr) "functional anemia indicator" was compared to that of two conventional ones; transferrin saturation (TSAT) and red cell distribution width percentages (RDW%) in diagnosing iron deficiency anemia in patients with JIA. Methods: Blood samples were obtained from 43 JIA patients whose ages ranged from 3 to 16 years and 20 age and sex matched healthy children as control group. Three different types of anemia; iron deficiency anemia (IDA), anemia of chronic disease (ACD) and combined anemia (IDA/ACD) were identified within the studied patients using iron profile, ESR and C-reactive protein. Serum hepcidin-25 was assessed by ELISA technique; CHr, TSAT% and RDW% were all estimated using Siemens ADVIA 2120 analyzer in patients and the control group. Results: Anemia was identified in 22 (51.2%) patients. Serum hepcidin-25 and TSAT% were significantly lower in IDA than ACD & IDA/ACD patients (p= 0.032 and p=0.034 for hepcidin and p= 0.004 and p=0.012 for TSAT%). Significantly lower CHr and higher RDW% were found in IDA/ACD compared to ACD patients (p= 0.032 and p< 0.001, respectively). Serum hepcidin ≤ 3.8ng/mL and TSAT% ≤ 5.8% differentiated IDA from both ACD and IDA/ACD with 80 and 100% sensitivity and 88.24% specificity. CHr ≤24.4pg and RDW % > 16.4% showed 80 and 90% sensitivity and 100% specificity; distinguishing IDA/ACD from ACD. Conclusion: Serum hepcidin and CHr were not superior to TSAT% and RDW%; discriminating among different types of anemia in JIA patients. Table 1. Comparison between anemia subgroups according to CHr and serum hepcidin IDA(n=5) ACD(n=6) Combined anemia(n=7) Control(n=20) p CHr (pg) 23.61 ± 3.80a 27.36 ± 2.30b 23.37 ± 3.18a 30.54 ± 1.99 <0.001* Serum hepcidin (ng/ml) 3.60 (3.0-4.9)bc 5.10 (3.10 - 90.0) 7.15 (3.1-60.0) 5.0 (0.10-10.8) 0.121 Data was expressed as Mean ± SD. for normally distributed data and Median (Min. - Max.) for abnormaly distrbutied data a: Significant with control gorup b: Significant with combined anemia group c: Significant with ACD group Table 2. Comparison among anemia subgroups and control group according to RDW & TSAT% IDA(n=5) ACD(n=7) Combined anemia(n=10) Control(n=20) Test of sig. p RDW% Min. - Max. 17.30 - 19.90 13.10 - 16.40 15.60 - 22.0 12.40 - 15.80 F=45.032* <0.001* Mean ± SD. 18.42 ± 1.04 14.49 ± 1.30 18.46 ± 1.92 13.47 ± 0.86 Median 2.62 13.90 18.20 13.10 Sch p* p1<0.001* ,p2=0.362,p3<0.001* ,p4=1.000,p5<0.001* ,p6<0.001* TSAT % Min. - Max. 4.20 - 5.80 6.0 - 20.50 4.40 - 26.0 11.0 - 40.0 KW χ2 =* <0.001* Mean ± SD. 4.78 ± 0.64 10.73 ±4.82 13.82 ± 8.63 22.71 ± 8.32 Median 4.50 10.0 12.80 20.70 MW p1 0.001* 0.001* 0.016* MW p2 0.012* 0.660 MW p3 0.004* KW c2 : Chi square for Kruskal Wallis test F: F test (ANOVA) p1: p value for comparing between control and IDA p2: p value for comparing between control and ACD p3: p value for comparing between control and combined anemia p4: p value for comparing between combined anemia and IDA p5: p value for comparing between combined anemia and ACD p6: p value for comparing between ACD group and IDA group MW: Mann Whitney test Sch: Post Hoc Test (Scheffe) *: Statistically significant at p ≤ 0.05 Table 3. Agreement (sensitivity, specificity and accuracy) for serum hepcidin and TSAT% with IDA vs. ACD and combined anemia in JIA patients ACD and combined anemia IDA Sensitivity Specificity PPV NPV Accuracy Serum hepcidin (ng/ml) >3.8 15 1 80.0 88.24 66.67 93.75 86.36 <3.8 2 4 TSAT% >5.8 15 0 100.0 88.24 71.43 100.0 90.91 ≤5.8 2 5 Table 4. Agreement (sensitivity, specificity and accuracy) for CHr and RDW% with ACD vs. combined anemia in JIA patients ACD Combined anemia Sensitivity Specificity PPV NPV Accuracy CHr >24.4 7 2 80 100.0 100.0 77.78 88.24 ≤24.4 0 8 RDW % ≤16.4 7 1 90.0 100.0 100.0 87.50 94.12 >16.4 0 9 Disclosures No relevant conflicts of interest to declare.

Serum Free Carnitine and Total Triglycerid Levels in Children with Iron Deficiency Anemia

2001 ◽  
Vol 71 (1) ◽  
pp. 66-69 ◽  
Author(s):  
Fatos Tanzer ◽  
Selda H_zel ◽  
Öge Çetinkaya ◽  
Ersin Sekreter
Keyword(s):  
Iron Deficiency ◽  
Total Cholesterol ◽  
Iron Deficiency Anemia ◽  
Free Carnitine ◽  
Deficiency Anemia ◽  
Control Group ◽  
Healthy Children ◽  
Serum Free ◽  
Iron Deficient ◽  
Total Triglyceride

Iron deficiency anemia and hyperlipidemia are common public health problems in Turkey. The connection between iron and lipid metabolisms has not been clarified yet. The aim of the study was to determine the effect of iron deficiency on carnitine and lipid metabolism. Study group was consisted of 70 children (mean age 14.7 ± 1.3 months) suffering from iron deficiency anemia and 20 healthy children (mean age 13.7 ± 1.2 months) attended to outpatient clinics of Cumhuriyet University, Sivas were enrolled the study as the control group. Assessments of serum free carnitine concentrations, total triglyceride, total cholesterol and VLDL levels were made in both groups. The mean serum free carnitine concentration was significantly lower than the control group (18.9 ± 0.43 nmol/ ml and 45.9 ± 1.47 nmol/ml respectively, t = 17.5 p <0.01). Results of our study also indicated higher serum total triglyceride, total cholesterol and VLDL levels in iron deficient patients than the healthy controls. Regression analyses indicated a negative correlation between serum free carnitine and total triglyceride levels in iron deficient patients. This study confirms that iron deficiency anemia may be linked to the endogenous carnitine synthesis in pediatric age group, and thus hyperlipidemia appears to be a risk factor for premature cardiovascular diseases.

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