Fine needle aspiration cytology in leprosy.

BACKGROUND: Laboratory diagnosis of leprosy by slit skin smear and skin biopsy is simple but both techniques have their own limitations. Slit skin smear is negative in paucibacillary cases whereas skin biopsy is an invasive technique. Fine needle aspiration cytology (FNAC) from skin lesions in leprosy with subsequent staining with May-Grunwald-Giemsa (MGG) stain has been found useful. AIM: To evaluate the possible role of cytology in classifying leprosy patients. METHODS: Seventy-five untreated cases of leprosy attending the outpatient department were evaluated. Smears were taken from their skin lesions and stained using the MGG technique. Skin biopsy was also done from the lesions, which was compared with cytology smears. RESULTS: A correlation of clinical features with FNAC was noticed in 87.5% of TT, 92.1% of BT, 81% of BL, and 66% of LL cases. Correlation of clinical with histopathological diagnoses revealed 12.5% specificity in TT leprosy, 55.3% in BT, 52.4% in BL and 50% in LL, and 100% in neuritic and histoid leprosy cases. Both correlations were found to be statistically significant by paired t test analysis. Thus, it was possible to distinguish the tuberculoid types by the presence of epithelioid cells and the lepromatous types by the presence of lymphocytes and foamy macrophages. CONCLUSION: FNAC may be used to categorize the patients into paucibacillary and multibacillary types, but is not a very sensitive tool to classify the patients across the Ridley-Jopling spectrum.

Factors predicting the non-utilisation of immunisation services using logistic regression technique.

A cross sectional study was conducted to determine the variables which have an individual predictive power on nonutilization of immunisation services using logistic regression model. Children between 12 and 23 months of age were assessed and enrolled using a pretested interview schedule. Statistical analysis was done using descriptive statistics, univariate analysis using Chi Square tests and multivariate logistic regression analysis. Of the 200 children studied 56% were fully immunised. Only illiterate mothers (p < 0.05) and poor access (> 3 km) to health facility (p < 0.001) were found to have an independent predictive power on the nonutilization of immunisation services. Sex of the child, parity levels, socioeconomic status did not independently influence the utilisation pattern. It is possible to identify these still existing small pockets of nonusers of immunisation services through the predictive variables and target them through special efforts.