Prevalence of Iron Deficiency Anemia in Anemic Patients: A Hospital Based Study

Marasini, Surendra; Gupta, Badri Kumar; Agrawal, Kopila; Gautam, Narayan

doi:10.3126/jucms.v6i2.22494

Cited by 6 publications

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“…Our study showed IDA was common in female 64 (79.01%). Similar results were obtained by Alalimi et al 7 and Mishra et al 8 in their study and they concluded that inadequate intake of dietary iron, inadequate intake of dietary micronutrients, lack of awareness of iron deficiency, excessive menstrual loss, pregnancy and nutritional status were the possible cause.…”

Section: Discussionsupporting

confidence: 87%

Correlation between Iron Parameters and Platelet Parameters in Iron Deficiency Anemia

Chalise

Acharya

Pradhan

2019

Journal of Institute of Medicine

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Introduction Iron deficiency anemia is the most common type of anemia and is diagnosed by iron studies. Reactive thrombocytosis is usually seen in iron deficiency anemia. The objectives of the study is to correlate between iron parameters and platelet parameters in patient with iron deficiency anemia. MethodsThis was a cross-sectional study done in Department of Pathology at Kathmandu Medical College, Sinamangal between December 2018 to May 2019. Blood samples of 81 iron deficiency anemia patients were analysed to determine iron parameters and platelet parameters. SPSS version 20 was used to analyse the data. ResultsThrombocytosis was seen in 62 (76.5%) patient with iron deficiency anemia. Platelet count was negatively correlated with serum iron, percentage saturation and platelet distribution width (p˂0.001, for all) while positive correlation was obtained between platelet count and plateletcrit (p<0.05). Plateletcrit showed negative correlation with serum iron (p˂0.001) and platelet distribution width (p<0.05) while positive correlation was obtained with mean platelet volume, total iron binding capacity and platelet (p<0.05, for all). There was negative correlation between mean platelet volume and platelet count (p<0.001). Positive correlation was obtained between mean platelet volume and plateletcrit (p<0.05). Correlation was not found between mean platelet volume and iron parameters (p>0.05). Platelet distribution width showed negative correlation with total iron binding capacity, platelet (p˂0.001, for both), plateletcrit (p<0.05). ConclusionThrombocytosis is more commonly observed as compared to thrombocytopenia in patient with iron deficiency anemia. Serum iron and percentage saturation are the most important parameters affecting the platelet count.

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Section: Discussionsupporting

confidence: 87%

Correlation between Iron Parameters and Platelet Parameters in Iron Deficiency Anemia

Chalise

Acharya

Pradhan

2019

Journal of Institute of Medicine

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“…Previous studies conducted to analyse the factors associated with anaemia among WRA in Nepal have only explored a few specific individual and household factors (Chandyo et al, 2007; Gautam, Min, Kim, & Jeong, 2019; Harding, Aguayo, Namirembe, & Webb, 2018), and some are based on the analysis of a specific sample or subnational data (Baral & Onta, 2009; Mishra, Marasini, Gupta, Agrawal, & Gautam, 2018; Sinha, Majumdar, & Yadav, 2011). For instance, a study conducted by Gautam et al in 2019 (using 2016 Nepal Demographic and Health Survey [NDHS]) identified that source of drinking water, women's use of hormonal contraception, overweight/obesity and smoking status were significantly associated with anaemia (Gautam et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Trends and determinants of anaemia in women of Nepal: a multilevel analysis

Rai

Khan

Thapa

2020

Maternal & Child Nutrition

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In Nepal, the prevalence of anaemia decreased by 1% from 2006 to 2011 but increased by 6% from 2011 to 2016. In this study, we examined the changes in prevalence by possible factors from 2006 to 2016 along with the factors associated with anaemia among women of reproductive age (15–49 years) using the Nepal Demographic and Health Survey (NDHS) data from years 2006, 2011 and 2016. We used rate of change analysis to explore average annual rate of change (AARC) in anaemia prevalence and concentration curves and indices to assess unequal distribution of anaemia prevalence among socio‐economic quintiles. Multilevel regression was performed to examine the association of multilevel factors with anaemia. Our results showed higher AARC increase in anaemia prevalence from 2006 to 2016, among women aged 30–39 years, with secondary or higher education, who had two or fewer children, not working women, from higher wealth quintiles and who were overweight or obese. Shifting of concentration curve from ‘above the line of equality’ in 2006 and 2011 to ‘under the line of equality’ in 2016 was observed. Women aged 20–29 years, with more than four children, who underwent female sterilization, had experienced violence and from Provinces 1, 2 and 5 were at higher risk of anaemia. Overweight and obese women using hormonal contraception and from lowest wealth quintiles were at lower risk. The change in trends and the associated multilevel factors identified should be considered in designing multilevel interventions that particularly target women at risk for sustainable anaemia reduction.

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“…This result of the present study differs from the findings of Mishra et al, in which the most affected ( 42.55 % ) age group was from 21 -40 years. 17 In a study by Kim et al, it was seen that the prevalence of anemia was 12.3 % in men of 70 years and older. 18 This study was confined within National Medical College, Birgunj so the findings may not be viewed as a good representation of the whole region (as patients of this region seek treatment from other health centres as well).…”

Section: Discussionmentioning

confidence: 97%

Iron Deficiency in Anemic Patients: Study in a Tertiary Care Centre

Chaurasiya¹,

Alam²,

Patel³

et al. 2022

Medphoenix

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Introduction Anemia is a clinical abnormality characterized by a reduction in hemoglobin concentration below the normal for age and sex. It can be of different types, the most common being iron deficiency anemia which affects mostly pregnant and lactating females and growing children in the developing world. Materials and Methods This was a hospital-based observational study conducted at National Medical College and Teaching Hospital, Pathology Department, Birgunj, Nepal. Patients above the age of 10 years of both sexes (male and females) having anemia ( males having hemoglobin level < 13 gm/dl and females having hemoglobin level < 12 gm/dl ) were included. After a detailed history, preliminary blood tests including complete blood counts, peripheral smear, and reticulocytes count were done. In patients suspected (microcytic hypochromic blood picture and normal reticulocytes count ) to have iron deficiency anemia, serum ferritin was done to confirm the diagnosis. Patients under the age of 10 years and those patients having blood malignancies (acute or chronic leukemia) were excluded from the study. Results Sixty anemic patients were found to have iron deficiency. Females were affected more (66%) with iron deficiency anemia than males (34%). There were two peaks (30% and 21%) in age groups 10 – 20 years and 61 – 70 years. Complete blood counts revealed a significant decrease in the value of red cell indices like mean corpuscular volume in 70% patients (Normal MCV 80 to 100 fl) and mean corpuscular hemoglobin in 72% patients (Normal MCH 27 to 33 pg ). On peripheral smear, it was seen that most of the patients (72%) had microcytic hypochromic blood pictures. Iron deficiency anemia was more common in rural areas. Conclusion Iron deficiency anemia was the most common type of anemia. It is more common in females and the prevalence is more in rural areas.

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Prevalence of Iron Deficiency Anemia in Anemic Patients: A Hospital Based Study

Cited by 6 publications

References 0 publications

Correlation between Iron Parameters and Platelet Parameters in Iron Deficiency Anemia

Correlation between Iron Parameters and Platelet Parameters in Iron Deficiency Anemia

Trends and determinants of anaemia in women of Nepal: a multilevel analysis

Iron Deficiency in Anemic Patients: Study in a Tertiary Care Centre

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