40 research outputs found
Metabolic Syndrome: a challenging health Issue in highly urbanized Union Territory of north India
<p>Abstract</p> <p>Objectives</p> <p>1. To determine the prevalence of Metabolic Syndrome in adults aged 18 years and above in Chandigarh, India. 2. To determine the socio-demographic factors associated with MS. 3. To determine the agreement between IDF (International Diabetes federation definition) and ATP-III (National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults criteria).</p> <p>Methods</p> <p>In a community based cross-sectional study, total 605 subjects aged 18 yrs and above were studied using multistage random sampling.</p> <p>Results</p> <p>Prevalence of Metabolic Syndrome was estimated by using IDF and ATP-III criteria. By IDF, Metabolic Syndrome was found in 287 (47.4%) subjects and it was more prevalent among females 171 (59.6%) as compared to males 116 (40.4%). By applying ATP-III overall prevalence was less i.e. 233 (38.5%) but again its prevalence was more among females 141 (44.8%) than males 116 (39.5%). Higher socioeconomic status, sedentary occupation and high body mass index were significantly associated with Metabolic Syndrome.</p> <p>Conclusions</p> <p>Metabolic Syndrome is a major health problem in the region and proper emphasis should be given on its prevention and control.</p
Haematologic and Immunophenotypic Profile of Acute Myeloid Leukemia: An Experience of Tata Memorial Hospital
OBJECTIVES: To study the hematologic and immunophenotypic profile of
260 cases of acute myeloid leukemia at diagnosis. MATERIAL AND METHODS:
This is a retrospective analysis of 260 cases of AML diagnosed at our
institution between 1998 and 2000. Diagnosis was based on peripheral
blood and bone marrow examination for morphology cytochemistry and
immunophenotypic studies. SPSS software package, version 10, was used
for statistical analysis. RESULTS: Seventy-six percent of our cases
were adults. The age of the patients ranged from one year to 78 years
with a median age of 27.2 years. There were 187 males and 73 females.
The commonest FAB subtype, in both children and adults, was AML-M2. The
highest WBC counts were seen in AML-M1 and the lowest in AML-M3
(10-97x109/L, mean 53.8x109/L). The mean values and range for
hemoglobin was 6.8gm/l (1.8gm/l to 9.2gm/l), platelet count 63.3x109/L
(32-83x109/L), peripheral blood blasts 41.4% (5 to 77%) and bone marrow
blasts 57.6% (34-96%). Myeloperoxidase positivity was highest in the
M1, M2 and M3 subtypes. CD13 and CD33 were the most useful markers in
the diagnosis of AML. CD14 and CD36 were most often seen in monocytic
(38%) and myelomonocytic (44%) leukemias. Lymphoid antigen expression
was seen in 15% of cases. CD7 expression was the commonest (11%).
CONCLUSION: AML accounted for 39.8% of all acute leukemias at this
institution. The most common subtype was AML-M2. Myeloperoxidase stain
was a useful tool in the diagnosis of myeloid leukemias. CD13 and CD33
were the most diagnostic myeloid markers