Blood stream infections can lead to life threatening sepsis and require rapid antimicrobial treatment. The organisms implicated in these infections vary with the geographical alteration. Infections caused by MDR organisms are more likely to increase the risk of death in these patients. The present study was aimed to study the profile of organisms causing bacteremia and understand antibiotic resistance patterns in our hospital. 1440 blood samples collected over a year from clinically suspected cases of bacteremia were studied. The isolates were identified by standard biochemical tests and antimicrobial resistance patterns were determined by CLSI guidelines. Positive blood cultures were obtained in 9.2% of cases of which Gram-positive bacteria accounted for 58.3% of cases with staph aureus predominance; gram negative bacteria accounted for 40.2% with enterobactereciea predominence; and 1.5% were fungal isolates. The most sensitive drugs for Gram-positive isolates were vancomycin, teicoplanin, daptomycin, linezolid, and tigecycline and for Gram-negative were carbapenems, colistin, aminoglycosides, and tigecycline. The prevalence of MRSA and vancomycin resistance was 70.6% and 21.6%, respectively. ESBL prevalence was 39.6%. Overall low positive rates of blood culture were observed.

Gleason grading, a risk stratification method for prostate cancer, is subjective and dependent on experience and expertise of the reporting pathologist. Deep Learning (DL) systems have shown promise in enhancing the objectivity and efficiency of Gleason grading. However, DL networks exhibit domain shift and reduced performance on Whole Slide Images (WSI) from a source other than training data. We propose a DL approach for segmenting and grading epithelial tissue using a novel training methodology that learns domain agnostic features. In this retrospective study, we analyzed WSI from three cohorts of prostate cancer patients. 3741 core needle biopsies (CNBs) received from two centers were used for training. The κquad (quadratic-weighted kappa) and AUC were measured for grade group comparison and core-level detection accuracy, respectively. Accuracy of 89.4% and κquad of 0.92 on the internal test set of 425 CNB WSI and accuracy of 85.3% and κquad of 0.96 on an external set of 1201 images, was observed. The system showed an accuracy of 83.1% and κquad of 0.93 on 1303 WSI from the third institution (blind evaluation). Our DL system, used as an assistive tool for CNB review, can potentially improve the consistency and accuracy of grading, resulting in better patient outcomes.

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Introduction: Malaria is one of the most common infectious diseases of tropics. It presents with varied clinicopathological manifestations. Most of the complication in malaria occurs due to various hematological abnormalities. Present study was aimed to find out abnormalities in WBC and platelet counts in patients with malaria. Methods: A total 135 patients either hospitalized or treated on an outpatient basis were included in the study after positive identification for malarial parasites on Giemsa stained PSMP smears. WBC and platelet count was carried out on 3 part hematology analyzer (Sysmax KX 21). WBC count less than 4000/cumm was considered as leucopenia and platelet count less than 150000/cumm was considered as thrombocytopenia. Results: The present study includes 135 patients with malaria from which 72.59% of subjects were male and 27.41% of subjects were female. P. falciparum was present in 68.89% of cases, P. vivax in 28.15% of cases. Majority of patients had normal leucocyte count (97.03%). Neutrophilia with lymphopenia was observed in both species of malaria in our study. Thrombocytopenia was observed in89.62% of cases in malaria. Thrombocytopenia in P. falciparum was found in 92.48% of cases and in P. vivax it was 81.57% of cases. Conclusion: Present study did not show any significant change in WBC count. Present study showed neutrophilia with relative lymphopenia in both group of malaria. Incidence of thrombocytopenia was observed in both species of malaria without any statistical significance. [Int J Res Med Sci 2013; 1(4.000): 401-403