Literature DB >> 23162290

Prevalence and hematological profile of β-thalassemia and sickle cell anemia in four communities of Surat city.

Dipal S Bhukhanvala1, Smita M Sorathiya, Avani P Shah, Ankur G Patel, Snehalata C Gupte.   

Abstract

BACKGROUND: From the data of transfusion-dependent thalassemia major cases, the 4 communities (Muslim, Dhodia Patel, Kachhiya Patel, and Modh Bania) with high prevalence but not studied methodically were selected. AIM: The aim of this study is to find prevalence of β-thalassemia and sickle cell anemia in 4 selected communities and also to evaluate hematological profile in them.
MATERIALS AND METHODS: For screening of β-thalassemia trait (BTT) and sickle cell trait (SCT), all samples were tested for red cell indices, solubility, HbA(2) level and doubtful cases confirmed on HPLC. STATISTICAL ANALYSIS: Mean ± SD, χ(2) and 't' tests were used to evaluate the significance. RESULTS AND
CONCLUSION: Among 4 selected communities, the highest prevalence of BTT was observed in Modh Bania (6.2%) and Kachhiya Patel (6.05%) and that of SCT in Dhodia Patel (14.0%). Significantly higher prevalence of BTT was observed in Memon (P < 0.0001) and of SCT in Khalifa 6.6% (P < 0.0001) compared to other Muslim sub castes. Anemia was more prevalent in BTT compared to non-BTT and non-SCT subjects. 80% of Dhodia Patel non-BTT and non-SCT subjects showed microcytic red cell morphology. Their Mean ± SD Hb concentration was 12.1 ± 1.73, hence iron deficiency cannot be a sole reason. This community needs α-thalassemia and iron studies.

Entities:  

Keywords:  Dhodia Patel; Kachhiya Patel; Modh Bania; Muslim; Surat; sickle cell trait; β-thalassemia trait

Year:  2012        PMID: 23162290      PMCID: PMC3491288          DOI: 10.4103/0971-6866.100752

Source DB:  PubMed          Journal:  Indian J Hum Genet        ISSN: 1998-362X


Introduction

The distribution of β-thalassemia and sickle cell disorders varies geographically and from community to community. Various hemogloginopathies are major public health problem in Gujarat, but the data pertaining to their occurrence and prevalence, especially in Surat, are scarce. According to the census of India Report 2001 (Surat Municipal Corporation), the population of Surat district is 4,995,174; in rural region, it is 1,999,357 and in urban area, it is 2,995,817. Surat has cosmopolitan population, and several communities are living in the district from centuries. Gujarati community dominates and others are Marwaris, Punjabis, Marathi, and Hindi speaking north Indian population. The analysis of transfusion-dependent thalassemia major cases, attending our center, had suggested that there is a high prevalence in Muslims, Patels, Sindhis, Modh Banias, and Mahayavanshi. The sickle cell disease (SCD) was predominantly found in Dhodia Patels, Kolis, and Gamits. Muslims are divided into 2 major religious, endogamous sects – Shia and Sunni, and several castes like Momins, Memon, Khoja, Bohra, Pathan, Sayied, Shaikh etc. are found in them. As many Muslim sub-castes originate from different geographical locations, this community was selected. This study includes only Sunni Muslims who follow the trend of consanguineous marriages. Certain sub-castes of Patel[1] and tribal communities are already studied for sickle cell disorders.[2-4] Dhodia Patel, the third largest tribal group in Gujarat, needs β-thalassemia studies as thalassemia major cases are identified in this community. The majority of them are settled in Surat and Valsad districts, but they are also found in Daman and Diu, Dadra and Nagar Haveli, Madhya Pradesh, Maharashtra, Karnataka, Rajasthan states. There are no studies on Modh Bania and Kachhia Patel communities of Surat. They originate from town Modhera in Patan district in the northern part of Gujarat. They are predominantly Brahmins or Banias, and those who migrated to Surat are known as Surti Modh Banias or Ghanchi. Majority of Kachhiya Patels are vegetable vendors and cultivators and are basically Kadva Patels. They are inhabitants of Ahmedabad, Surat, Anand, and Khambhat cities in Gujarat.

Materials and Methods

The study was approved by the institutional ethics committee. As a control, 24,917 randomly selected unrelated individuals including all major castes, attending hemoglobinopathies screening camps organized in different locations (school and colleges) in Surat were screened. Total 9,447 samples of selected communities were collected during functions after taking permission from their leaders. The informed consent in local language was taken, and then, 2 ml blood was collected in EDTA. All the samples were tested for red blood cell indices by an automated cell counter MEK-5216K (NIHON KOHDEN, Japan),[5] solubility test,[6] and cellulose acetate electrophoresis at pH 8.9.[7] The samples showing HbA2>3.5% were initially diagnosed as β-thalassemia trait (BTT). The doubtful cases and all traits were confirmed by high performance liquid chromatography (HPLC) on Hemoglobin Variant Testing System, BioRad Laboratories.[89] Statistical evaluation of the data was done by mean ± standard deviation (SD), χ2, and ‘t’ tests.

Results

Among 9,447 study participants, 4,870 were Muslims, 2,249 Modh Bania, 1,173 Kachhiya Patel, and 1155 were Dhodia Patel. Sex- and age-wise analysis of the 9,447 subjects showed that 5,385 (57.0%) were male and 4,062 (42.9%) were female having average age 23.0 ± 15.1 years. In control group, 12,970 were male and 11,947 female and had average age of 17.8 ± 2.61 years. The mean cell volume (MCV) ≤76 fl and mean cell hemoglobin (MCH) ≤26 values suggest BTT.[5] MCV ≤76 fl was observed in 80.0% Dhodia Patel, 33.1% Muslims, 21.8% in Kachhiya Patel, 21.5% Modh Bania, and 16.6% in control population [Table 1]. In Dhodia Patel, incidence of low MCV was significantly higher compared to control population (χ2 = 72, P < 0.0001). The MCH value of ≤26 value was observed in 80.3% Dhodia Patel, 46.0% in Kachhiya Patel, 39.6% in Muslims, 24.0% in Modh Bania, and 15.5% in Control population. In Dhodia Patel, significantly more subjects were having MCH ≤26 pg compared to control population (χ2 = 72, P < 0.0001).
Table 1

MCV and MCH values in study population

MCV and MCH values in study population The overall prevalence of BTT and SCT in Surat population (control) was 3.2% and 1.38%, respectively [Table 2]. The significantly higher prevalence of BTT was observed in Modh Bania and Kachhia compared to remaining communities and control population of Surat by χ2-test (P < 0.0001). Dhodia Patels had significantly higher prevalence of SCT (P < 0.0001).
Table 2

Prevalence of β-thalassemia trait and sickle cell trait in study population

Prevalence of β-thalassemia trait and sickle cell trait in study population Table 3 shows prevalence of BTT and SCT in different Muslims sub-castes. Significantly higher prevalence of BTT is observed in Memon (χ2 = 23.8, P < 0.0001) and of SCT in Khalifa (χ2 = 72, P < 0.0001) compared to other Muslim sub-castes. 4 samples of Muslim community had borderline HbA2 values.
Table 3

Prevalence of β-thalassemia and sickle cell trait in Muslim sub-castes

Prevalence of β-thalassemia and sickle cell trait in Muslim sub-castes Table 4 shows highly significant (P < 0.001) differences in hematological parameters of non-BTT/non-SCT study subjects. In Dhodia Patel, the mean MCV (69.8 ± 8.35) and MCH (23.6 ± 2.03) are significantly lower and RBC (5.24 ± 0.73) values are raised compared to control population. Kachhiya Patels have reduced mean cell hemoglobin concentration (MCHC) (30.82 ± 1.4).
Table 4

Hematological data (mean ± S.D.) of non-β-thalassemia trait/non-sickle cell trait selected caste groups and control population

Hematological data (mean ± S.D.) of non-β-thalassemia trait/non-sickle cell trait selected caste groups and control population Selected communities and control population showed significantly low values of hemoglobin (Hb) in BTT/SCT subjects compared to non-BTT/non-SCT individuals. As seen in Table 5, anemia is predominant in Kachhiya Patel BTT subjects, and they also have significantly reduced MCH (18.9 ± 2.9), MCHC (29.18 ± 1.61), compared to control population by “t” test (P < 0.001). Muslim BTT subjects have lowest values of MCV and RDW compared to control population by “t” test (P < 0.001).
Table 5

Hematological data (mean ± S.D.) of β-thalassemia trait subjects

Hematological data (mean ± S.D.) of β-thalassemia trait subjects Table 6 shows the significant reduction in MCV, MCH, and Hb S in Dhodia Patel SCT subjects compared to Muslims and control (P < 0.001).
Table 6

Hematological data (mean ± SD) of sickle cell trait subjects

Hematological data (mean ± SD) of sickle cell trait subjects Comparison of Hb and HCT in control, BTT, and SCT population shows that anemia is more prevalent in BTT compared to non-BTT/non-SCT subjects.

Discussion

The first step in population screening for thalassemia trait is the accurate complete blood count. As per Dacie and Lewis,[5] MCV ≤76 fL and MCH ≤26 pg indicate possibility of BTT and should be further screened for HbA2 level. In our study, majority (80%) of Dhodia Patel samples showed reduced MCV and MCH, but cellulose acetate membrane electrophoresis and HPLC confirmed BTT only in 2.1% subjects [Table 2]. Red blood cell indices are also low in α-thalassemia trait and iron deficiency.[10] In India, because of the high prevalence of iron-deficiency anemia, differential diagnosis of BTT is often complicated. Mehta and Pandya[11] have suggested that the BTT individuals have an advantage in maintaining an iron balance. The mean ± SD Hb concentration in non-BTT/non-SCT Dhodia Patel individuals was 12.1 ± 1.73; hence, iron deficiency may not be present in all those having low indices. However, iron deficiency and α-thalassemia studies are essential for this community to explain reasons for low RBC indices. An increased HbA2 level (>3.5%) is the hallmark of diagnosis of β-thalassemia carriers. Samples with borderline HbA2 probably due to silent mutation, co-inheritance of δ and β thalassemia, some mild β-gene mutations, and γδβ-thalassemia should be repeated on HPLC and may be analyzed by molecular methods.[12] In this study, 4 such samples of Muslims community were found, which need to be further confirmed by molecular analysis. Studies in different Indian regions have reported 1% to 17% prevalence of BTT with mean of about 3.3%.[1314] Comparable prevalence of 3.2% of BTT was found in Surat population selected as control. Madan et al.[15in ICMR multi-center study reported 2.68% BTT prevalence in Mumbai and 5.47% in Delhi. They found 2.7% BTT in Baniya and 2.5% and 1.7% BTT in Sunni Muslims from Mumbai and Delhi, respectively.[15] While in our study, we found 6.2% BTT prevalence in Modh Bania and 2.85% in Muslims. This is the first report on the prevalence of β-thalassemia in Kachhiya Patel community. Hb AS has been reported as 0% to 31.4% in tribal population of Gujarat.[2] Different non-tribal caste groups are also known to have sickle gene.[1617] In our study, the prevalence of SCT was 14.0% in Dhodia Patel (tribal community). Earlier studies have reported 13.76% and 17.84% prevalence in this community, in Valsad and Surat respectively.[2] Mukherjee et al.[3reported the lower Hb S level (27.9%) in tribal compared to the non–tribal group (35.5%). They also reported very high frequency of α-thalassemia gene in tribal (0.97) compared to the non-tribal (0.24). We found similar results in Dhodia Patel with reduced Hb S level (27.9 ± 3.4) compared to Muslims (34.02 ± 4.2) and control (31.2 ± 5.8). Very high incidence of reduced RBC indices in Dhodia Patel indicates the possibility of α-thalassemia gene in this tribe. Compared to normal (negative for BTT or SCT) subjects, Hb and hematocrit values were significantly lower in BTT subjects. The ICMR study[15] has also detected more anemic children in BTT series compared to children without any hemoglobinopathy.

Conclusion

BTT prevalence is higher in Modh Bania and Kachhiya Patel, and higher SCT prevalence is observed in Dhodia Patel, Memon, and Khalifa. As majority of Dhodia Patels show microcytic red cell morphology, this community also needs α-thalassemia and iron study.
  12 in total

1.  A rapid method for microelectrophoresis and quantitation of hemoglobins on cellulose acetate.

Authors:  J L GRAHAM; B W GRUNBAUM
Journal:  Am J Clin Pathol       Date:  1963-06       Impact factor: 2.493

2.  HPLC retention time as a diagnostic tool for hemoglobin variants and hemoglobinopathies: a study of 60000 samples in a clinical diagnostic laboratory.

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3.  The spectrum of beta-thalassaemia mutations on the Indian subcontinent: the basis for prenatal diagnosis.

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4.  Usefulness of cell counter-based parameters and formulas in detection of beta-thalassemia trait in areas of high prevalence.

Authors:  Dinesh A Rathod; Amarjeet Kaur; Vinod Patel; Kunjal Patel; Raviraj Kabrawala; Viral Patel; Mohak Patel; Pranay Shah
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Review 5.  HPLC studies in hemoglobinopathies.

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Journal:  Indian J Pediatr       Date:  2007-07       Impact factor: 1.967

6.  Effect of alpha-thalassemia on sickle-cell anemia linked to the Arab-Indian haplotype in India.

Authors:  M B Mukherjee; C Y Lu; R Ducrocq; R R Gangakhedkar; R B Colah; M D Kadam; D Mohanty; R L Nagel; R Krishnamoorthy
Journal:  Am J Hematol       Date:  1997-06       Impact factor: 10.047

Review 7.  Sickle cell disease in India.

Authors:  Dipika Mohanty; Malay B Mukherjee
Journal:  Curr Opin Hematol       Date:  2002-03       Impact factor: 3.284

8.  Usefulness of certain red blood cell indices in diagnosing and differentiating thalassemia trait from iron-deficiency anemia.

Authors:  M M Eldibany; K F Totonchi; N J Joseph; D Rhone
Journal:  Am J Clin Pathol       Date:  1999-05       Impact factor: 2.493

9.  Frequency of β-thalassemia trait and other hemoglobinopathies in northern and western India.

Authors:  Nishi Madan; Satendra Sharma; S K Sood; Roshan Colah; Late H M Bhatia
Journal:  Indian J Hum Genet       Date:  2010-01

10.  Iron status of beta thalassemia carriers.

Authors:  B C Mehta; B G Pandya
Journal:  Am J Hematol       Date:  1987-02       Impact factor: 10.047

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