| Literature DB >> 32318453 |
Babita Raghuwanshi1, Suchitra Kumari2, Durgesh Prasad Sahoo3.
Abstract
BACKGROUND: The transfusions in patients with thalassemia are a double-edged sword as the patients develop complications due to inadequate transfusions and due to multiple transfusions. These complications vary from metabolic complications such as diabetes mellitus and clinical complications such as growth retardation, transfusion-transmitted infections (TTI), and iron overload. We selected Balasore district in Odisha which is a satellite center of AIIMS Bhubaneshwar and has a huge population of hemoglobinopathy patients especially thalassemia and this district in Odisha lags in terms of healthcare and health awareness. MATERIALS ANDEntities:
Keywords: Metabolic; stunted; thalassemia; undernutrition
Year: 2020 PMID: 32318453 PMCID: PMC7113988 DOI: 10.4103/jfmpc.jfmpc_845_19
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Sociodemographic distribution of patients with thalassemia (n=123)
| Number | Percentage | |
|---|---|---|
| Sex | ||
| Male | 82 | 66.7 |
| Female | 41 | 33.3 |
| Age groups (years) | ||
| <5 | 23 | 19.3 |
| 5-9 | 42 | 35.3 |
| 10-14 | 40 | 33.6 |
| 15 and above | 14 | 11.8 |
Distribution of undernutrition cases in HCV-positive and -negative patients with thalassemia
| HCV | Total | Odds ratio | CI | ||||
|---|---|---|---|---|---|---|---|
| Positive | Negative | ||||||
| BMI | Undernutrition | Count | 72 | 46 | 118 | 6.261 | 0.6785, 57.77 |
| % | 98.6% | 92.0% | 95.9% | ||||
| Normal | Count | 1 | 4 | 5 | |||
| % | 1.4% | 8.0% | 4.1% | ||||
| Total | Count | 73 | 50 | 123 | |||
| % | 100.0% | 100.0% | 100.0% | ||||
| Chi square=3.345, P=0.067 | |||||||
CI: confidence interval; BMI: body mass index
Distribution of growth retardation in HCV-positive and -negative patients with thalassemia
| HCV | Total | Odds ratio | CI | ||||
|---|---|---|---|---|---|---|---|
| Positive | Negative | ||||||
| Wasted | Yes | Count | 13 | 14 | 27 | 0.557 | 0.2356-1.317 |
| % | 17.8% | 28.0% | 22.0% | ||||
| No | Count | 60 | 36 | 96 | |||
| % | 82.2% | 72.0% | 78.0% | ||||
| Total | Count | 73 | 50 | 123 | |||
| % | 100.0% | 100.0% | 100.0% | ||||
| Chi-square=1.799, P=0.180 | |||||||
| Stunted | Yes | Count | 61 | 41 | 102 | 1.116 | 0.431-2.887 |
| % | 83.6% | 82.0% | 82.9% | ||||
| No | Count | 12 | 9 | 21 | |||
| % | 16.4% | 18.0% | 17.1% | ||||
| Total | Count | 73 | 50 | 123 | |||
| % | 100.0% | 100.0% | 100.0% | ||||
| Chi square=0.051, P=0.821 | |||||||
| Both wasted and stunted | yes | Count | 11 | 12 | 23 | 0.561 | 0.225-1.399 |
| % | 15.1% | 24.0% | 18.7% | ||||
| no | Count | 62 | 38 | 100 | |||
| % | 84.9% | 76.0% | 81.3% | ||||
| Total | Count | 73 | 50 | 123 | |||
| % | 100.0% | 100.0% | 100.0% | ||||
| Chi square=1.557, P=0.221 | |||||||
CI: confidence interval
Hepatitis C and its association with the sex and age of patients with thalassemia
| Negative | Positive | ||
|---|---|---|---|
| Sex | |||
| Male | 33 | 49 | 0.897 |
| Female | 17 | 24 | |
| Age groups (years) | |||
| <5 | 5 | 18 | 0.005 |
| 5-9 | 14 | 28 | |
| 10-14 | 16 | 24 | |
| 15 and above | 11 | 3 | |
Proportion of patients with high blood sugar levels in HCV-positive and -negative thalassemia cases
| HCV | Total | Odds ratio | CI | ||||
|---|---|---|---|---|---|---|---|
| Positive | Negative | ||||||
| FBS Result | DM | Count | 34 | 20 | 54 | 1.426 | 0.6672, 3.047 |
| % | 52.3% | 43.5% | 48.6% | ||||
| Normal | Count | 31 | 26 | 57 | |||
| % | 47.7% | 56.5% | 51.4% | ||||
| Total | Count | 65 | 46 | 111 | |||
| % | 100.0% | 100.0% | 100.0% | ||||
| Chi square=0.841, P=0.359 | |||||||
CI: confidence interval