Medical Laboratory Research Articles

Early Diagnostic Prediction of Infective Endocarditis: Development and Validation of EndoPredict-Dx

Background: Infective endocarditis is a life-threatening disease with diverse clinical presentations, making diagnosis challenging and requiring a range of complementary tests. The level of suspicion, based on clinical judgment, guides decisions regarding the initiation of empirical treatment and the selection of appropriate diagnostic tools. This study aimed to develop and validate the EndoPredict-Dx score for early prediction of infective endocarditis diagnosis. Methods: Patients admitted to a specialized cardiovascular hospital emergency department with suspected infective endocarditis between January 2011 and January 2020 were included. The primary outcome was left-sided infective endocarditis according to the Duke criteria. Logistic regression was used to derive the scoring system, with internal validation performed through bootstrapping. Candidate variables were obtained from the admission medical history, physical examination, and laboratory parameters. Results: Of the 805 individuals with suspected infective endocarditis (median age 56 years (40–73); 58.6% men), 530 confirmed the diagnosis based on the Duke criteria. The EndoPredict-Dx assigned points for male sex, previous endocarditis, petechiae, heart murmur, suspected embolism, symptoms lasting 14 or more days at the time of admission, hemoglobin level ≤ 12 g/dL, leukocyte level ≥ 10 × 109/L, C-reactive protein level ≥ 20 mg/L, and urine red blood cells ≥ 20,000 cells/mL. Patients were divided into three risk groups. The AUROC was 0.78 (95% CI 0.75–0.81) for the derivation cohort and 0.77 for the internal validation. Conclusions: The EndoPredict-Dx score accurately predicted the likelihood of infective endocarditis using clinical and laboratory data collected at admission.

An artificial intelligence-enabled consumables tracking system for medical laboratories

Abstract The medical laboratory plays a crucial role within a hospital setting and is responsible for the examination and analysis of patient specimens to accurately diagnose various ailments. The burden on medical laboratory personnel has significantly increased, particularly in the context of the ongoing global COVID-19 pandemic. Worldwide, the implementation of comprehensive and extended COVID-19 screening programs has placed a significant strain on healthcare professionals. This burden has led to exhaustion among medical employees, limiting their ability to effectively track laboratory resources, such as medical equipment and consumables. Therefore, this study proposed an artificial intelligence (AI)-based solution that contributes to a more efficient and less labor-intensive workflow for medical workers in laboratory settings. With the ultimate goal to reduce the burden on healthcare providers by streamlining the process of monitoring and managing these resources, the objective of this study is to design and develop an AI-based system for consumables tracking in medical laboratories. In this work, the effectiveness of two object detection models, namely, YOLOv5x6 and YOLOv8l, for the administration of consumables in medical laboratories was evaluated and analyzed. A total of 570 photographs were used to create the dataset, capturing the objects in a variety of settings. The findings indicate that both detection models demonstrate a notable capability to achieve a high mean average precision. This underscores the effectiveness of computer vision in the context of consumable goods detection scenarios and provides a reference for the application of real-time detection models in tracking systems within medical laboratories.

Sensitivity of Bayesian Networks to Noise in Their Parameters

There is a widely spread belief in the Bayesian network (BN) community that the overall accuracy of results of BN inference is not too sensitive to the precision of their parameters. We present the results of several experiments in which we put this belief to a test in the context of medical diagnostic models. We study the deterioration of accuracy under random symmetric noise but also biased noise that represents overconfidence and underconfidence of human experts.Our results demonstrate consistently, across all models studied, that while noise leads to deterioration of accuracy, small amounts of noise have minimal effect on the diagnostic accuracy of BN models. Overconfidence, common among human experts, appears to be safer than symmetric noise and much safer than underconfidence in terms of the resulting accuracy. Noise in medical laboratory results and disease nodes as well as in nodes forming the Markov blanket of the disease nodes has the largest effect on accuracy. In light of these results, knowledge engineers should moderately worry about the overall quality of the numerical parameters of BNs and direct their effort where it is most needed, as indicated by sensitivity analysis.

Comment on: A systematic approach of correct laboratory commissioning – special procedural features for medical laboratories using the example of specialised forms of care: supplement and update to the articles in J Lab Med 2014; 38(4): 179–205 and J Lab Med 2015; 39(4): 213–239

Comment on: A systematic approach of correct laboratory commissioning – special procedural features for medical laboratories using the example of specialised forms of care: supplement and update to the articles in J Lab Med 2014; 38(4): 179–205 and J Lab Med 2015; 39(4): 213–239

A systematic approach of correct laboratory commissioning: special procedural features for medical laboratories using the example of specialised forms of care

Abstract Since the complexities of commissioning medical laboratory tests have grown continuously as a result of the increase in specialised forms of care, this article aims to create a practice-oriented structure of the legal and procedural requirements and to illustrate these using case studies – specifically using the example of so-called ambulatory medical specialist care (ASV) in accordance with Par. 116b SGB V and selected selective contracts in accordance with Par. 140a SGB V. Even if the system of correct laboratory billing described in our previous articles has remained largely valid, we believe that structuring specialised forms of care in the outpatient sector would be particularly helpful. In addition to our previous articles on the system of correct laboratory billing, it is shown that laboratory commissioning must also be systematically correct and that all parties involved in the process (doctor’s surgeries, clinics, medical laboratories and insured persons) will benefit from this. In doing so, we are developing a system for correct laboratory ordering that leads to an improvement in process quality and process simplification when functionalised via so-called “order/entry”- or automated registration systems.

Case report: Infectious mononucleosis with bilateral retinal haemorrhages under myelin oligodendrocyte glycoprotein antibody-associated disease

BackgroundBilateral optic neuritis associated with optic disc swelling is a common feature of myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). However, extensive deep retinal haemorrhages have not been described in the context of MOG-associated optic neuritis. Here, we report a case of infectious mononucleosis with marked binocular peripapillary and perivascular haemorrhages as well as extensive deep retinal haemorrhages in the presence of MOGAD.Case reportA 39-year-old Chinese woman presenting with subacute binocular vision reduction with no light perception was diagnosed with MOGAD. Fundus examination revealed the presence of binocular peripapillary and perivascular haemorrhages as well as extensive deep retinal haemorrhages with severe optic disc swelling greater in the right eye than in the left and dilated and tortuous retinal venules. The patient tested positive for the Epstein–Barr virus (EBV) antigen (595 U/mL) and the EBV capsid antigen (>750 U/mL). She had a fever and right upper quadrant abdominal pain, and a doctor determined splenomegaly 1 week before the onset of orbital pain and decreased vision acuity. Medical history and laboratory tests indicated the presence of concurrent infectious mononucleosis. Other investigational indicators of retinal haemorrhages, including hypertension, diabetes mellitus, vascular disease, systemic lupus erythematosus, metabolic disease, and renal or liver dysfunction, were absent.DiscussionThis case suggests that retinal haemorrhage is a possible complication of infectious mononucleosis in the presence of MOGAD.

Inverse Association between the Body Mass Index and the Incidence of Unruptured Intracranial Aneurysms-Insights from the Hamburg City Health Population Study.

Overweight/obese patients experience a lower incidence of subarachnoid hemorrhage (SAH) compared to non-overweight patients, even though elevated body mass index (BMI) has been associated with various SAH risk factors. Given that intracranial aneurysms are a primary cause of SAH, a potential protective effect of a high BMI on intracranial aneurysms is likely but remains insufficiently investigated. This population-based MRI study aims to conduct detailed analyses on risk factors associated with the incidence of unruptured intracranial aneurysms (UIA). Retrospective analysis of subjects enrolled in the prospective Hamburg City Health study who underwent intracranial magnetic resonance imaging (MRI) was done. MRI scans were screened for UIA using time-of-flight angiography. Subject data including medical history, laboratory examinations, and risk factors for UIA were collected, and a multivariable logistic regression model was used to investigate the relationship between risk factors and UIA incidence. 2688 subjects (mean (IQR) age, 65 (58-71); 1176 female (43.8%) were included. An UIA was detected in 214 subjects with an incidence of 10.6% (6.0%) in females (males). Determinants for UIA were female sex (OR 2.00, 95%CI 1.45-2.77, p < 0.001), hypertension (OR 1.48, 95%CI 1.08-2.04, p = 0.015), smoking (OR 1.41, 95%CI 1.03-1.95, p = 0.036), and BMI (OR 0.95, 95%CI 0.91-0.98, p = 0.004). Among subjects with UIA, 9.4% with a BMI > 25 had multiple aneurysms, compared to 21.6% with BMI ≤ 25 (p = 0.012). This study suggests that a high BMI exhibits a protective effect on UIA incidence and the development of multiple aneurysms. Additionally, the data confirms established risk factors for UIA development, such as female sex, hypertension, and smoking.

Beyond boundaries: exploring a generative artificial intelligence assignment in graduate, online science courses.

Generative artificial intelligence (GAI) offers increased accessibility and personalized learning, though the potential for inaccuracies, biases, and unethical use is concerning. We present a newly developed research paper assignment that required students to utilize GAI. The assignment was implemented within three online, asynchronous graduate courses for medical laboratory sciences. Student learning was assessed using a rubric, which rated students' effective integration and evaluation of GAI-generated content against peer-reviewed research articles, thus demonstrating their critical thinking and synthesis skills, among other metrics. Overall rubric scores were high, suggesting that learning outcomes were met. After field testing, we administered a 16-item survey about GAI utilization, contribution to learning, and ethical concerns. Data (n = 32) were analyzed, and free-response answers were thematically coded. While 93.8% of respondents found the GAI-generated content to be "very good" or "excellent," 28.1% found inaccuracies, and 68.8% "strongly agreed" or "agreed" that GAI should be allowed to be used as a tool to complete academic assignments. Interestingly, however, only 28.1% "strongly agreed" or "agreed" that GAI may be used for assignments if not explicitly authorized by the instructor. Though GAI allowed for more efficient completion of the project and better understanding of the topic, students noted concerns about academic integrity and the lack of citations in GAI responses. The assignment can easily be modified for different learning preferences and course environments. Raising awareness among students and faculty about the ethical use and limitations of GAI is crucial in today's evolving pedagogical landscape.

Individuation of a cut-off value of triglyceride-glucose index for incident diabetes mellitus in patients with essential hypertension.

The prevalence of obesity and diabetes, risk factors for atherosclerotic vascular diseases, is increasing worldwide; therefore, it is desirable to early identify them to reduce cardiovascular events. Thus, we investigated whether the triglyceride-glucose index (TyG index), a new marker of insulin resistance, is associated with incident diabetes in patients with newly diagnosed arterial hypertension. We selected 585 patients with newly diagnosed arterial hypertension referred to our tertiary Clinic of Catanzaro University Hospital for the evaluation of their cardiometabolic risk profile. None of the patients had diabetes mellitus at enrollment and took any drug known to affect glucose metabolism. Patients underwent medical history collection, clinical examination and laboratory tests. The TyG index was calculated as the ln [fasting TG (mg/dl) × FPG (mg/dl)/2], as previously suggested. During the follow-up [mean 8.5years (range 3.1-10.7)], there were 78 new cases of incident diabetes (1.57% patient-year). Patients who developed diabetes mellitus were older and had a higher body mass index (BMI), baseline blood pressure, fasting glucose, insulin, homeostatis model sssessment (HOMA) index, triglyceride, creatinine and hs-CRP mean values, while estimated glomerular filtration rate values were lower. At the Cox regression analysis, covariates significantly associated with incident diabetes were: BMI (HR = 2.842, 95%CI = 2.299-3.514), TyG index (HR = 2.392, 95%CI = 1.745-3.192), age (HR = 1.944, 95%CI = 1.527-2.474), hs-CRP (HR = 1.409, 95%CI = 1.153-1.722), and HOMA (HR = 1.325, 95%CI = 1,079-1.756). The best estimated cut-off value of TyG index in predicting diabetes was 4.71. In addition, we documented a significant relationship between TyG index and HOMA (r = 0.575; p < 0.0001). Present data demonstrate that TyG index, a simple and cost-effective marker of insulin resistance, is useful in predicting incident diabetes in patients with arterial hypertension.

Precision medicine in hepatology: harnessing IoT and machine learning for personalized liver disease stage prediction

&lt;span&gt;In this research, we used a dataset from Siksha ‘O’ Anusandhan (S’O’A) University Medical Laboratory containing 6,780 samples collected manually and through internet of things (IoT) sensor sources from 6,780 patients to perform a thorough investigation into liver disease stage prediction. The dataset was carefully cleaned before being sent to the machine learning pipeline. We utilised a range of machine learning models, such as Naïve Bayes (NB), sequential minimal optimisation (SMO), K-STAR, random forest (RF), and multi-class classification (MCC), using Python to predict the stages of liver disease. The results of our simulations demonstrated how well the SMO model performed in comparison to other models. We then expanded our analysis using different machine learning boosting models with SMO as the base model: adaptive boosting (AdaBoost), gradient boost, extreme gradient boosting (XGBoost), CatBoost, and light gradient boosting model (LightGBM). Surprisingly, gradient boost proved to be the most successful, producing an astounding 96% accuracy. A closer look at the data showed that when AdaBoost was combined with the SMO base model, the accuracy results were 94.10%, XGBoost 90%, CatBoost 92%, and LightGBM 94%. These results highlight the effectiveness of proposed model i.e. gradient boosting in improving the prediction of liver disease stage and provide insightful information for improving clinical decision support systems in the field of medical diagnostics.&lt;/span&gt;

Sustainability challenges and solutions in medical laboratory equipment manufacturing

Background: Ultra-low temperature (ULT) freezers are vital for storing biological samples in medical labs, but they have high energy demands and significant environmental impacts. This study investigates the energy efficiency, environmental footprint, and performance of different ULT freezer models. Methodology: A lifecycle assessment (LCA) was performed on five ULT freezers to evaluate global warming potential (GWP), ozone depletion potential (ODP), and energy consumption. Key performance metrics, including compressor efficiency, thermal stability, and material recyclability, were assessed under various operating conditions. Real-time data was collected over 30 days. Results: Freezers with variable-speed compressors exhibited up to 25% lower energy consumption than those with fixed-speed systems. Freezers using low-GWP refrigerants, such as CO₂, reduced total CO₂ emissions by up to 30% over a 10-year lifespan. Models incorporating advanced insulation materials, like vacuum-insulated panels (VIPs), showed improved thermal stability and reduced heat rejection, leading to lower cooling loads. Conclusion: Adopting advanced compressor technologies, low-GWP refrigerants, and high-performance insulation materials in ULT freezers can significantly reduce energy use and environmental impact. These innovations are crucial for sustainable medical laboratory operations, balancing performance with environmental responsibility.

Pemeriksaan Golongan Darah pada Anak dan Pemeriksaan Gula Darah pada Kelompok Usia Lanjut di Gereja Katolik Santu Petrus Pariti Kabupaten Kupang Tahun 2024

This community service activity was conducted at the Catholic Church of Santu Petrus Pariti, Kupang Regency, involving 124 participants for blood type examinations and 69 participants for blood pressure and glucose level tests. The event began with a retreat by the Medical Laboratory Technology students aimed at raising community awareness about health. A positive response was observed through the enthusiasm of the community, who actively asked questions, indicating that they gained new knowledge related to health examinations. In blood type examinations conducted at TK Santa Maria Pariti and SEKAMI, it was found that among 18 female and 22 male children, 5 participants had blood type A, 15 had blood type B, 17 had blood type O, and 1 had blood type AB. Additionally, glucose level tests revealed that 4 participants had normal glucose levels, while 65 had abnormal levels. Blood pressure tests among the elderly showed 16 with abnormal readings and 53 with normal readings. The examination results provided an initial overview of the health status of the local community, highlighting variations in blood types, glucose levels, and blood pressure conditions. This activity is expected to enhance awareness of the importance of regular health check-ups among the community.

Adjustment Analysis of the Teaching Content of Parasitology Examination in Higher Vocational Colleges

At present, the infection rate of human parasitic diseases has changed greatly in our country, and foodborne parasitic diseases have become the mainstream of human parasitic diseases, among which the more frequent foodborne parasites are a liver fluke, taeniasis, cysticercus, trichinella, toxoplasma gondii and so on. The test methods for parasitic diseases are pathogenetic examination, immunological examination, molecular biological examination and combined diagnosis. Based on the current epidemic characteristics of human parasitic diseases in China and their examination and analysis, the teaching content of the course Parasitology Examination in higher vocational colleges is adjusted, and the main popular human parasitic diseases and their examination methods are listed as the teaching focus, and other parasitic diseases that have been eliminated or reached the control standard are transferred to the familiar or understood teaching content. To make the teaching of medical laboratory technology in higher vocational colleges closer to the needs of vocational posts and improve the adaptability of students to their posts.

Semi-quantitative CT score reflecting the degree of pulmonary infection as a risk factor of hypokalemia in COVID-19 patients: a cross-sectional study.

Hypokalemia is a common electrolyte disorder observed in patients afflicted with coronavirus disease 2019 (COVID-19). When COVID-19 is accompanied by pulmonary infection, chest computed tomography (CT) is the preferred diagnostic modality. This study aimed to explore the relationship between CT semi-quantitative score reflecting the degree of pulmonary infection and hypokalemia from COVID-19 patients. A single-center, cross-sectional study was conducted to investigate patients diagnosed with COVID-19 between December 2022 and January 2023 who underwent chest CT scans upon admission revealing typical signs. These patients were categorized into two groups based on their blood potassium levels: the normokalemia group and the hypokalemia group. Medical history, symptoms, vital signs, laboratory data, and CT severity score were compared. Binary regression analysis was employed to identify risk factors associated with hypokalemia in COVID-19 patients with pulmonary infection. A total of 288 COVID-19 patients with pulmonary infection were enrolled in the study, of which 68 (23.6%) patients had hypokalemia. The CT severity score was found to be higher in the hypokalemia group compared to the normokalemia group [4.0 (3.0-5.0) vs. 3.0 (2.0-4.0), p = 0.001]. The result of binary logistic regression analysis revealed that after adjusting for sex, vomiting, sodium, and using potassium-excretion diuretics, higher CT severity score was identified as an independent risk factor for hypokalemia (OR = 1.229, 95% CI = 1.077-1.403, p = 0.002). In this cohort of patients, semi-quantitative CT score reflecting the degree of pulmonary infection may serve as a risk factor of hypokalemia in COVID-19 patients.

AMRColab - a user-friendly antimicrobial resistance detection and visualization tool.

Antimicrobial resistance (AMR) poses a significant threat to global public health, with the potential to cause millions of deaths annually by 2050. Effective surveillance of AMR pathogens is crucial for monitoring and predicting their behaviour in response to antibiotics. However, many public health professionals lack the necessary bioinformatics skills and resources to analyse pathogen genomes effectively. To address this challenge, we developed AMRColab, an open-access bioinformatics analysis suite hosted on Google Colaboratory. AMRColab enables users with limited or no bioinformatics training to detect and visualize AMR determinants in pathogen genomes using a 'plug-and-play' approach. The platform integrates established bioinformatics tools such as AMRFinderPlus and hAMRonization, allowing users to analyse, compare and visualize trends in AMR pathogens easily. A trial run using methicillin-resistant Staphylococcus aureus (MRSA) strains demonstrated AMRColab's effectiveness in identifying AMR determinants and facilitating comparative analysis across strains. A workshop was conducted and feedback from participants indicated high confidence in using AMRColab and a willingness to incorporate it into their research. AMRColab's user-friendly interface and modular design make it accessible to a diverse audience, including medical laboratory technologists, medical doctors and public health scientists, regardless of their bioinformatics expertise. Future improvements to AMRColab will include enhanced visualization tools, multilingual support and the establishment of an online community platform. AMRColab represents a significant step towards democratizing AMR surveillance and empowering public health professionals to combat AMR effectively.

A Qualitative Exploration on Psychological Stressors and Coping Mechanisms in Medical Laboratory Personnel

Healthcare professionals, particularly those working in high-stress environments like hospitals, are frequently exposed to significant psychological challenges. This study explores the psychological stressors and coping mechanisms of medical laboratory personnel at the People's Hospital of Keyouqianqi, Inner Mongolia, China. Using a qualitative research design, data was collected through semi-structured interviews with 10 participants, focusing on their experiences of stress and the strategies they use to manage it. The findings reveal that the most significant stressors include high workloads, time pressure, the responsibility for diagnostic accuracy, and interpersonal conflicts within the workplace. Additionally, personal and social stressors, such as balancing work with family responsibilities, further compounded their stress levels. Participants employed a variety of coping mechanisms, both problem-focused and emotion-focused, with effective strategies including building strong professional relationships, engaging in physical activities, and practicing mindfulness. However, some participants resorted to ineffective coping strategies, such as avoidance behaviors and unhealthy habits, which often exacerbated their stress. This study highlights the complex interplay between individual coping strategies and the cultural and institutional context in which these professionals operate. The findings have important implications for practice and policy, offering insights into how healthcare institutions can better support the mental health and well-being of their staff.

Characteristics associated with anterior ischemic optic neuropathy (AION) in giant cell arteritis (GCA).

Giant cell arteritis (GCA) is the most common vasculitis and can result in blindness due to anterior ischemic optic neuropathy (AION). Little is known about which patients with GCA are at higher risk of AION.We did a retrospective chart review to compare demographics, past medical history, labs and imaging of GCA patients with and without AION. All patients at the University of Washington who were diagnosed with GCA by a rheumatologist, had a vascular ultrasound and met classification criteria for GCA were included. AION was diagnosed by an ophthalmologist. To compare demographics, symptoms, presentation imaging and lab findings, we used Pearson Chi-square, Fisher's exact test and t-tests to compare GCA patients with and without AION. 91 patients with GCA without vision loss were compared to 15 patients with GCA and AION.The AION group had significantly more men (p=0.03) and elevated C-reactive protein (CRP) as compared to the non-AION group (p = 0.04). Rates of hypertension, smoking, erythrocyte sedimentation rate (ESR) and classification scores were similar. Vascular ultrasound showed similar rates of small and large vessel vasculitis, but the AION group had higher halo scores, with the AION group having a mean score of 5 and patients with GCA and without AION having a mean score of 3 (p < 0.01). Older men with GCA and more than three halos on vascular ultrasound imaging of GC may be at higher risk of AION. Key Points • This is the first paper to incorporate the use of vascular ultrasound in comparing patients with anterior ischemic optic neuropathy (AION) to those without giant cell arteritis (GCA). • Male sex is associated with AION despite GCA being more common in women. • Older age and higher CRP are associated with AION. • GCA patients with AION had a higher halo score than GCA patients without AION.

Regulation of health professions education and the growth of schools in Somalia.

Health professions education, encompassing training programs for medicine and surgery, nursing, midwifery, medical laboratory sciences,, and public health, along with their regulations, are pivotal to achieving universal health coverage and Sustainable Development Goals, contributing significantly to health outcomes and public trust in the healthcare workforce. However, low- and middle-income countries, especially in sub-Saharan Africa, face challenges, such as inadequate resources, outdated curricula, and weak governance. Somalia in particular grapples with a fragmented health system and a critical shortage of skilled health professionals, exacerbated by decades of civil war and political instability. This study employed a mixed-method approach that incorporated both qualitative and quantitative data collection and analysis. A comprehensive literature review was conducted along with semi-structured interviews with 44 key informants, including representatives from professional health schools and officials from the Ministry of Health. Additionally, five focus group discussions were held with young professionals and an online survey was administered to students enrolled in professional health courses. The data analysis employed descriptive for quantitative data, and thematic analysis for qualitative data, guided by the human resources for health (HRH) maturity model framework. This study identified 112 health professions schools across Somalia, with a significant concentration in urban areas, particularly in Benadir. The health workforce analysis revealed a pronounced urban-rural disparity and a density of health professionals below the WHO's recommended threshold. The focus group discussions and surveys highlighted the employment challenges faced by young physicians and students' perceptions of their training and future employment opportunities. The proliferation of health professions schools without adequate quality control, the critical shortage and maldistribution of skilled health professionals, and the absence of a comprehensive regulatory framework are significant challenges facing Somalia's healthcare system. The establishment of the National Health Professionals' Council (NHPC) Act in 2020 marks a step towards addressing these issues. This study emphasizes the need for accreditation of health professions schools, capacity building of HRH teams, and collaboration among stakeholders to improve healthcare workforce development and regulation. Addressing urban-rural disparities and combating professional misconduct are also crucial for achieving universal health coverage and improving health outcomes in Somalia.

Editorial to the revision of the “Guideline of the German Medical Association on quality assurance in medical laboratory examinations – Rili-BAEK”

Editorial to the revision of the “Guideline of the German Medical Association on quality assurance in medical laboratory examinations – Rili-BAEK”

Effect of educational interventions addressing blood groups and donation aspects on the knowledge and attitude of allied health sciences students

Objective: To determine the effect of educational interventions on knowledge and approach of Allied Health Sciences Students regarding blood groups and blood donation. Methods: It was a cross-sectional study conducted at the department of Hematology and Transfusion Medicine, University of Child Health Sciences, The Children’s Hospital, Lahore from October 2022-January 2023. A self-designed questionnaire was used to assess the baseline knowledge of students followed by educational interventions in the form of small group discussions, video lectures and practical demonstrations. Post-interventions assessment was done using the same questionnaire 30 days later. Data obtained was analyzed using SPSS-23 software. A p-Value &lt;0.05 was considered significant. The reliability of the questionnaire was checked after the pilot study by using the SPSS-23 software and calculated Cronbach’s Alpha was 0.82. Results: Of the 99 participants, there were 13 males and 86 females with mean age of 21.41±1.478 years. Pre-interventions, majority participants had moderate knowledge (81.8%). Medical Lab technologists showed better baseline knowledge than the rest. Post-interventions, the level of knowledge among students increased to 94.9%. Pre-interventions, knowledge about blood groups and donation ranged from 14.1-79% and 25.5-77.8% correct responses respectively while post-interventions it went up to 92-100% for both aspects. The willingness to donate blood in future raised from 46.4% to 92.9%. Conclusions: Educational interventions were effective in improving the knowledge of Allied Health Sciences students about blood groups and blood donation. The enlightenment strategies positively influenced students towards the active participation in blood donation campaigns. doi: https://doi.org/10.12669/pjms.40.10.8803 How to cite this: Saqlain N, Habib H, Riaz S, Hareem S. Effect of educational interventions addressing blood groups and donation aspects on the knowledge and attitude of allied health sciences students . Pak J Med Sci. 2024;40(10):2261-2266. doi: https://doi.org/10.12669/pjms.40.10.8803 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.