Prevalence and molecular characterization of Eimeria species affecting backyard poultry of Jammu region, North India.

The present study was conducted from January 2018 to December 2019 to know the prevalence of coccidiosis in backyard poultry in Jammu, Samba, and Udhampur districts of Union Territory of Jammu and Kashmir, North India. A total of 600 pooled fecal samples collected from backyard poultry were examined for presence of Eimeria oocysts. Morphometry and Polymerase Chain Reaction (PCR)-based amplification of ITS-1 gene was carried to characterize the Eimeria species infecting the backyard poultry of the study area. An overall prevalence of 28.5% Eimeria spp. infection among backyard poultry birds was recorded. Among the seasons, highest prevalence was recorded during rainy season (32%) with significantly (p < 0.05) high oocyst excretion (1.77 ± 0.01) and lowest during summer (19.3%) with low oocyst excretion (0.17 ± 0.006). Young birds up to 3 months of age were found to be more susceptible to infection than older birds, with a significantly (p < 0.05) high prevalence percentage of 38.02. Morphometry with COCCIMORPH software revealed presence of Eimeria tenella, Eimeria necatrix, Eimeria acervulina, and Eimeria maxima species with prevalence rates of 27.6%, 21.3%, 16.5%, and 3.6%, respectively. The amplified fragments of ITS-1 gene presented different sizes of Eimeria spp. viz. E. acervulina (321 bp), E. tenella (278 bp), E. maxima (145 bp), and E. necatrix (383 bp). The study concluded that although backyard poultry did not show clinical form of coccidiosis, it may act as source of potential reservoir.

MR image features predicting hemorrhagic transformation in acute cerebral infarction: a multimodal study.

INTRODUCTION: The aims of this study were to observe magnetic resonance imaging (MRI) features and the frequency of hemorrhagic transformation (HT) in patients with acute cerebral infarction and to identify the risk factors of HT. METHODS: We first performed multimodal MRI (anatomical, diffusion weighted, and susceptibility weighted) scans on 87 patients with acute cerebral infarction within 24 hours after symptom onset and documented the image findings. We then performed follow-up examinations 3 days to 2 weeks after the onset or whenever the conditions of the patients worsened within 3 days. We utilized univariate statistics to identify the correlations between HT and image features and used multivariate logistical regression to correct for confounding factors to determine relevant independent image features of HT. RESULTS: HT was observed in 17 out of total 87 patients (19.5 %). The infarct size (p = 0.021), cerebral microbleeds (CMBs) (p = 0.004), relative apparent diffusion (rADC) (p = 0.023), and venous anomalies (p = 0.000) were significantly related with HT in the univariate statistics. Multivariate analysis demonstrated that CMBs (odd ratio (OR) = 0.082; 95 % confidence interval (CI) = 0.011-0.597; p = 0.014), rADC (OR = 0.000; 95 % CI = 0.000-0.692; p = 0.041), and venous anomalies (OR = 0.066; 95 % CI = 0.011-0.403; p = 0.003) were independent risk factors for HT. CONCLUSIONS: The frequency of HT is 19.5 % in this study. CMBs, rADC, and venous anomalies are independent risk factors for HT of acute cerebral infarction.