Evaluation of new haematology analyser, XN-31, for malaria detection in blood donors: A single-centre study from India.

BACKGROUND AND OBJECTIVES: Malaria continues to be a significant public health concern in India, with several regions experiencing endemicity and sporadic outbreaks. The prevalence of malaria in blood donors, in India, varies between 0.02% and 0.07%. Common techniques to screen for malaria, in blood donors and patients, include microscopic smear examination and rapid diagnostic tests (RDTs) based on antigen detection. The aim of this study was to evaluate a new fully automated analyser, XN-31, for malaria detection, as compared with current practice of using RDT. MATERIALS AND METHODS: Cross-sectional analytical study was conducted to evaluate clinical sensitivity and specificity of new automated analyser XN-31 among blood donors' samples and clinical samples (patients with suspicion of malaria) from outpatient clinic collected over between July 2021 and October 2022. No additional sample was drawn from blood donor or patient. All blood donors and patients' samples were processed by malaria rapid diagnostic test, thick-smear microscopy (MIC) and the haematology analyser XN-31. Any donor blood unit incriminated for malaria was discarded. Laboratory diagnosis using MIC was considered the 'gold standard' in the present study. Clinical sensitivity and specificity of XN-31 were compared with the gold standard. RESULTS: Fife thousand and five donor samples and 82 diagnostic samples were evaluated. While the clinical sensitivity and specificity for donor samples were 100%, they were 72.7% and 100% for diagnostic samples. CONCLUSION: Automated haematology analysers represent a promising solution, as they can deliver speedy and sensitive donor malaria screening assessments. This method also has the potential to be used for pre-transfusion malaria screening along with haemoglobin estimation.

Perceived Gaps in Academic Training and Expectations From Refresher Training in Primary Care Nurses at an Urban Metropolis in Northern India: A Qualitative Study.

Background Nursing professionals, comprising the largest workforce engaged in the primary healthcare system, play a pivotal role in addressing population health needs. However, gaps in the training of nurses and midwives in lower-middle-income countries may undermine their performance and necessary skill development for fulfilling key population health needs. Substantial challenges exist in improving the regular curricular and refresher training of diplomate nurses and midwives working in primary care facilities and supporting both clinical care and health promotion functions. The study objective was to conduct a gap analysis in the present nursing curriculum and training profile of general duty midwives working in urban primary health facilities and understand their expectations and preferences from the planned refresher training course.  Methods We conducted a qualitative explorative study among General Nursing midwives (GNMs) working in urban primary health facilities in the Gurugram district of Haryana, India to conduct a gap analysis in their present curriculum and training preferences.  Results A total of 17 nurses with a mean (SD) age of 33.52 (4.75) years and an average nursing work experience of 5.35 (0.56) years were interviewed in-depth. Lack of practical applicability, complex study material, inexperienced tutors, and weak English language comprehension were key barriers in the existing nursing curriculum. The nurses expressed willingness to participate in refresher training with varied expectations, although there existed a distinct preference for short, flexible, and blended online-offline modes of training.  Conclusions Strengthening GNM nursing education should be prioritized in Indian health settings with the focus on improving student comprehension through vernacular instruction when feasible, and capacity building of tutors, with avenues for continued training and education. There is also a need for strengthening the curriculum related to key emergent public health challenges related to non-communicable diseases and mental health, as also skills for client and patient counseling and communication.

Value of new advanced hematological parameters in early prediction of severity of COVID-19.

INTRODUCTION: COVID-19 usually presents with upper respiratory tract infection in varying severity which can lead to sepsis. Early prediction of sepsis may reduce mortality by timely interventions. The intended purpose of this study was to determine whether the advanced parameters like the extended inflammation parameters (EIPs) can predict prognosis and early progression to sepsis as a sequel of COVID-19 infection and can be used as a screening profile. Also, to evaluate the Intensive Care Infection Score (ICIS) and the COVID-19 prognostic score and validate the scores for our population. METHODS: Prospective observational study of 50 reverse transcription- polymerase chain reaction (RT-PCR) proven admitted COVID-19 patients. The data assessed included complete blood counts (CBC) with EIP measurements, from Day 1 of admission to Day 10. The following groups were studied: noncritical (NC) and critical illness (CI) in COVID-19 positive cases, COVID negative sepsis and nonsepsis cases, and healthy volunteers for reference range. RESULTS: The parameters that showed statistically significant higher mean in CI group compared to the NC group are reactive lymphocyte number and percentage (RE-LYMPH#, RE-LYMPH%), antibody synthesizing lymphocyte number and percentage (AS-LYMPH#, AS-LYMPH%), Reactive monocyte count and percentage (RE-MONO#, RE-MONO%/M), ICIS, COVID-19 prognostic score (p-value <0.05). The AUC confirmed the diagnostic accuracy of all these parameters. From the multivariate logistic regression, the significant risk factor was RE-LYMPH# with cut-off >0.10 (p value: 0.011). CONCLUSION: The new EIP parameters, RE-MONO#, RE-MONO%/M, ICIS score and COVID-19 prognostic score are useful for early prediction of critical illness. AS-LYMPH is the most useful predictor of critical illness on multivariate analysis. RE-MONO# and RE-MONO%/M parameter are useful in distinguishing critical and noncritical non-COVID and COVID-19 patients.

Cytogenetic Risk Stratification of B-Acute Lymphoblastic Leukemia and Its Correlation with Other Prognostic Factors.

Purpose of current study was to categorize WHO defined B-Acute Lymphoblastic Leukemia (B-ALL) cases into 3 cytogenetic risk groups (good, intermediate and poor) and to see their correlation with age, NCI risk criteria and treatment response. Clinical and diagnostic details were collected for 78 newly diagnosed B-ALL patients which included bone marrow morphology, flow cytometry immunophenotyping, karyotyping, FISH and RT-PCR. Study cohort comprised 44/78 (56.4%) children including 3 infants and 34/78 (43.6%) adults. Median age for paediatric group was 6 years (3 months-17 years) and for adults was 40.5 years (18 to 75 years). According to NCI risk criteria, excluding infants, 54 (72%) were high risk and 21 (28%) were standard risk. Clonal cytogenetic abnormality was detected in 59/78 cases (75.6%), while 19/78 (24.4%) cases showed normal karyotype. There was significant association of cytogenetic risk groups to age distribution (p value < 0.001) and NCI risk groups (p value < 0.001). There was no significant correlation of CNS involvement with cytogenetic risk groups (p = 0.064). Association of Day 8 steroid response and Day 15 bone marrow status with cytogenetic risk groups was significant (p = 0.006 and p = 0.003 respectively). Post treatment bone marrow status on Day 33 and Day 79 was available for 52 and 42 cases respectively. 9 adults died during induction phase. Day 33 post induction morphological remission was achieved in 51/52 cases (98%) and 1/52 (2.0%) were not in remission. Day 79 post induction morphological remission was achieved in 41/42 cases (98%) and 1/42 (2.0%) were not in remission. Day 33 or End of induction flow MRD (measurable residual disease) was negative in 39/52 (75.0%) patients and positive in 13/52 (25.0%) patients. Day 79 flow MRD was negative in 37/42 (88.1%) and positive in 5/42 (11.9%). Cytogenetic risk groups showed statistically significant Day 33 and Day 79 treatment response (morphologic remission: p = 0.009 and 0.003, flow MRD: p = 0.004 and p = 0.012 respectively). We concluded that cytogenetic risk groups showed statistically significant association with age, NCI risk criteria and treatment response.

Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0 environment.

In recent days, Cognitive Cyber-Physical System (CCPS) has gained significant interest among interdisciplinary researchers which integrates machine learning (ML) and artificial intelligence (AI) techniques. This era is witnessing a rapid transformation in digital technology and AI where brain-inspired computing-based solutions will play a vital role in industrial informatics. The application of CCPS with brain-inspired computing in Industry 4.0 will create a significant impact on industrial evolution. Though the CCPSs in industrial environment offer several merits, security remains a challenging design issue. The rise of artificial intelligence AI techniques helps to address cybersecurity issues related to CCPS in industry 4.0 environment. With this motivation, this paper presents a new AI-enabled multimodal fusion-based intrusion detection system (AIMMF-IDS) for CCPS in industry 4.0 environment. The proposed model initially performs the data pre-processing technique in two ways namely data conversion and data normalization. In addition, improved fish swarm optimization based feature selection (IFSO-FS) technique is used for the appropriate selection of features. The IFSO technique is derived by the use of Levy Flight (LF) concept into the searching mechanism of the conventional FSO algorithm to avoid the local optima problem. Since the single modality is not adequate to accomplish enhanced detection performance, in this paper, a weighted voting based ensemble model is employed for the multimodal fusion process using recurrent neural network (RNN), bi-directional long short term memory (Bi-LSTM), and deep belief network (DBN), depicts the novelty of the work. The simulation analysis of the presented model highlighted the improved performance over the recent state of art techniques interms of different measures.

Core Biopsy Diagnosis of ALK Positive Inflammatory Myofibroblastic Tumor of Lung: An Interesting Case.

Inflammatory myofibroblastic tumor (IMT) of lung is a rare tumor, accounting for ~0.7% of all lung tumors with varied clinical and radiological presentations. The origin of this tumor is unknown but some studies suggest that it might be a true neoplasm as some mutations on chromosome 2p23 of anaplastic lymphoma kinase (ALK) have been found to be related to this tumor. The morphology of IMT is quite vague and the histopathological diagnosis is predominantly given on excision specimens; in fact, only 6.3% of cases are diagnosed based on analysis of biopsy specimens alone. We illustrate a case of IMT diagnosed in a young male on core biopsy, where the case presented with a large tumor in the lung with metastases to multiple sites that was hence unresectable. Post 3 months of treatment with Crizotinib, there was significant reduction in the tumor size. Another interesting finding was that the ALK immunostain, which helped immensely in the diagnosis, was appreciated better on the Ventana platform rather than on the Dako platform.

Unusually Aggressive Primary Testicular Diffuse Large B Cell Lymphoma with Post Therapy Extensive Metastasis.

Primary Testicular Lymphoma (PTL) is a rare intermediate to high grade tumour, diffuse large cell being the most common type. Unlike nodal Diffuse Large B-Cell Lymphoma (DLBCL), testicular DLBCL has a less aggressive course and better prognosis. Metastasis is uncommon in testicular DLBCL. Commonly involved sites are contralateral testes, Waldeyer's ring, skin, lung, Central Nervous System (CNS) and prostate, however the kidneys, liver, bone marrow, pleura and bones are more rarely involved. We report a case of testicular DLBCL which has metastasized to skin and bone marrow with an aggressive clinical course in a year, in-spite of combined modality of therapy given to the patient. Bone marrow infiltration is common and well documented with nodal DLBCL, however there is no published literature for simultaneous bone marrow and skin infiltration in testicular DLBCL till date. Other large studies done in the west have shown that distinct metastasis is usually common but the median progression-free survival is usually in years. This case stresses on shorter period of progression after standard treatment protocol in this part of the world, thus highlighting the need for other extensive studies to define specific treatment protocol for testicular DLBCL.