Cost-effective Diagnostic Method Research Articles

Specific and Sensitive Visual Proviral DNA Detection of Major Pathogenic Avian Leukosis Virus Subgroups Using CRISPR-Associated Nuclease Cas13a

Avian leukosis viruses (ALVs) include a group of avian retroviruses primarily associated with neoplastic diseases in poultry, commonly referred to as avian leukosis. Belonging to different subgroups based on their envelope properties, ALV subgroups A, B, and J (ALV-A, ALV-B, and ALV-J) are the most widespread in poultry populations. Early identification and removal of virus-shedding birds from infected flocks are essential for the ALVs’ eradication. Therefore, the development of rapid, accurate, simple-to-use, and cost effective on-site diagnostic methods for the detection of ALV subgroups is very important. Cas13a, an RNA-guided RNA endonuclease that cleaves target single-stranded RNA, also exhibits non-specific endonuclease activity on any bystander RNA in close proximity. The distinct trans-cleavage activity of Cas13 has been exploited in the molecular diagnosis of multiple pathogens including several viruses. Here, we describe the development and application of a highly sensitive Cas13a-based molecular test for the specific detection of proviral DNA of ALV-A, B, and J subgroups. Prokaryotically expressed LwaCas13a, purified through ion exchange and size-exclusion chromatography, was combined with recombinase polymerase amplification (RPA) and T7 transcription to establish the SHERLOCK (specific high-sensitivity enzymatic reporter unlocking) molecular detection system for the detection of proviral DNA of ALV-A/B/J subgroups. This novel method that needs less sample input with a short turnaround time is based on isothermal detection at 37 °C with a color-based lateral flow readout. The detection limit of the assay for ALV-A/B/J subgroups was 50 copies with no cross reactivity with ALV-C/D/E subgroups and other avian oncogenic viruses such as reticuloendotheliosis virus (REV) and Marek’s disease virus (MDV). The development and evaluation of a highly sensitive and specific visual method of detection of ALV-A/B/J nucleic acids using CRISPR-Cas13a described here will help in ALV detection in eradication programs.

Ultrasonographic Assessment of the Diaphragm

Mechanical ventilation injures not only the lungs but also the diaphragm, resulting in dysfunction associated with poor outcomes. Diaphragm ultrasonography is a noninvasive, cost-effective, and reproducible diagnostic method used to monitor the condition and function of the diaphragm. With advances in ultrasound technology and the expansion of its clinical applications, diaphragm ultrasonography has become increasingly important as a tool to visualize and quantify diaphragmatic morphology and function across multiple medical specialties, including pulmonology, critical care, and rehabilitation medicine. This comprehensive review aims to provide an in-depth analysis of the role and limitations of ultrasonography in assessing the diaphragm, especially among critically ill patients. Furthermore, we discuss a recently published expert consensus and provide a perspective for the future.

Colistin, the last resort antibiotic: challenges in the implementation of its routine susceptibility testing

Background: colistin has become a critical antibiotic for lifethreatening multidrug resistance Gram-negative infections, particularly carbapenemase-producing bacteria. Detecting colistin resistance in routine microbiology laboratories is crucial for combating these fatal infections poses a challenge. Especially in developing countries, there is a need for a cost-effective, rapid, and user-friendly diagnostic method. Objective: implementing the various available methods for colistin testing is a significant challenge in resource-limited settings due to logistic difficulties and the need for technical expertise. Materials and Methods: this study shares experiences and insights gained while implementing in-vitro colistin susceptibility testing in a high-load bacteriology laboratory of a tertiary care center in Delhi, India. The following test methods for colistin susceptibility testing were incorporated in the routine antimicrobial susceptibility testing of our laboratory: Colistin Agar Test, Colistin Broth Disk Elution Test, Broth Microdilution susceptibility testing. Results: inconsistent growth patterns were observed in the colistin agar dilution Minimum Inhibitory Concentration (MIC) method, which could be resolved only after the preparation of fresh plates containing that specific concentration of colistin. The contamination issue of plates on use over a few days was addressed by pouring agar containing various concentrations of colistin in cottonplugged glass tubes. In the colistin broth disk elution test, due to the non-availability of screw-capped 10 mL glass tubes, MacCornety bottles (30 mL) were used. Subcultures were performed from the turbid wells to rule out the growth of contaminants when encountering discordant MIC values or skipped wells on the colistin broth microdilution test. Conclusions: despite several technical issues in in-vitro colistin susceptibility testing, we have successfully implemented it in our laboratory. Our experiences can offer guidance to laboratories that are still in the process of implementing it.

Alzheimer's disease early screening and staged detection with plasma proteome using machine learning and convolutional neural network.

Alzheimer's disease (AD) stands as the prevalent progressive neurodegenerative disease, precipitating cognitive impairment and even memory loss. Amyloid biomarkers have been extensively used in the diagnosis of AD. However, amyloid proteins offer limited information about the disease process and accurate diagnosis depends on the presence of a substantial accumulation of amyloid deposition which significantly impedes the early screening of AD. In this study, we have combined plasma proteomics with an ensemble learning model (CatBoost) to develop a cost-effective and non-invasive diagnostic method for AD. A longitudinal panel has been identified that can serve as reliable biomarkers across the entire progression of AD. Simultaneously, we have developed a neural network algorithm that utilizes plasma proteins to detect stages of Alzheimer's disease. Based on the developed longitudinal panel, the CatBoost model achieved an area under the operating curve of at least 0.90 in distinguishing mild cognitive impairment from cognitively normal. The neural network model was utilized for the detection of three stages of AD, and the results demonstrated that the neural network model exhibited an accuracy as high as 0.83, surpassing that of the traditional machine learning model.

Performance evaluation of portable respiratory polygraphy for assessing sleep bruxism in adults.

Polysomnography (PSG) is the gold standard for sleep bruxism (SB) assessment, it is expensive, not widely accessible, and time-consuming. Given the increasing prevalence of SB, there is a growing need for an alternative, readily available, reliable and cost-effective diagnostic method. This study aimed to evaluate the diagnostic validity of portable respiratory polygraphy (PRPG) compared with PSG for SB diagnosis. One hundred and three subjects underwent simultaneous examinations using PRPG (NOX T3, NOX Medical) and PSG (NOX A1, NOX Medical) in a sleep laboratory. The mean Bruxism Episodes Index (BEI) measured by PRPG was 4.70 ± 3.98, whereas PSG yielded a mean BEI of 3.79 ± 3.08. The sensitivity for detecting sleep bruxism (BEI >2) by PRPG was 48.3%, with a specificity of 81.2%. The positive predictive value was estimated at 51.9%, and the negative predictive value at 78.9%. However, when distinguishing between mild bruxism (BEI >2 < 4) and severe bruxism (BEI >4), PRPG demonstrated a sensitivity of 77.8% and 68.3% and a specificity of 48.6% and 71.4%, respectively. Polysomnography continues to be the SB diagnostic gold standard tool, as the sensitivity and specificity of PRPG are significantly lower when compared with PSG. Nevertheless, PRPG could serve as an alternative tool for SB screening or diagnosis, despite its limitations. Furthermore, our data indicate that comorbidities such as sleep apnea and sleep quality do not influence the diagnostic accuracy of PSG, suggesting its potential as a screening instrument in individuals with other sleep disorders.

A Multiplex Fluorescence of Loop Primer Upon Self-Dequenching Loop-Mediated Isothermal Amplification Assay for the Detection of Epstein-Barr Virus and Human Parvovirus B19 in Clinical Transplant Samples.

Viral infections are major causes of mortality in solid-organ and hematopoietic stem cell transplant recipients. Epstein-Barr virus (EBV) and Parvovirus B19 (B19V) are among the common viral infections after transplantation and were recommended for increased screening in relevant guidelines. Therefore, the development of rapid, specific, and cost-effective diagnostic methods for EBV and B19V is of paramount importance. We applied Fluorescence of Loop Primer Upon Self-Dequenching Loop-mediated Isothermal Amplification (FLOS-LAMP) for the first time to develop a novel multiplex assay for the detection of EBV and B19V; the fluorophore attached to the probe are self-quenched in unbound state. After binding to the dumbbell-shaped DNA target, the fluorophore is dequenched, resulting in fluorescence development. The novel multiplex FLOS-LAMP assay was optimized by testing various ratios of primer sets. This novel assay, with great specificity, did not cross-react with the common virus. For the detection of EBV and B19V, the limits of detection could reach 969 and 798 copies/μL, respectively, and the assay could be completed within 25 min. Applying this novel assay to detect 200 clinical transplant individuals indicated that the novel assay had high specificity and good sensitivity. We developed multiplex FLOS-LAMP assay for the detection of EBV and B19V, which has the potential to become an important tool for clinical transplant patient screening.

Development and implementation of a novel CAPS assay reveals high prevalence of a boscalid resistance marker and its co-occurrence with an azole resistance marker in Erysiphe necator.

Succinate dehydrogenase inhibitors (SDHIs), are frequently used against powdery mildew (PM) fungi, such as Erysiphe necator, the causal agent of grapevine PM. Fungicide resistance, however, hinders effective control. DNA-based monitoring facilitates the recognition of resistance. We aimed (i) to adapt an effective method to detect a widespread genetic marker of resistance to boscalid, a commonly used SDHI, and (ii) to study the co-occurrence of the marker with a marker of resistance to demethylase inhibitor (DMI) fungicides. Sequencing of the sdhB gene identified a non-synonymous substitution, denoted as sdhB-A794G, leading to an amino acid change (H242R) in the sdhB protein. In vitro fungicide resistance tests showed that E. necator isolates carrying sdhB-A794G were resistant to boscalid. We adopted a cleaved amplified polymorphic sequence-based method and screened more than 500 field samples collected from five Hungarian wine regions in two consecutive years. The sdhB-A794G marker was detected in all wine regions and in both years, altogether in 61.7% of samples, including 20.5% in which both sdhB-A794G and the wild-type were present. The frequency of sdhB-A794G was higher in SDHI-treated vineyards than in vineyards without any SDHI application. A significant difference in the presence of the marker was detected among wine regions; its prevalence ranged from none to 100%. We identified significant co-occurrence of sdhB-A794G with the CYP51-A495T (Y136F) mutation of the CYP51 gene, a known marker of resistance to DMIs. The monitoring of fungicide resistance is fundamental for the successful control of E. necator. Our rapid, cost-effective diagnostic method will support decision-making and fungicide resistance monitoring and management.

SCD155 as a potential marker for diagnosing the vascular invasion in hepatic alveolar echinococcosis

BackgroundAlveolar Echinococcosis (AE) is a malignant zoonotic disease caused by Echinococcus multilocularis infection. Considering whether the lesion is accompanied by vascular invasion (VI) is crucial for treatment strategies. A cost-effective and convenient clinical diagnostic method is urgently needed to supplement current techniques. Consequently, we detected soluble CD155 (sCD155) as a potential biomarker for diagnosing VI in hepatic alveolar echinococcosis (HAE). MethodsBlood samples were from 42 AE patients and 49 healthy controls (HCs). Based on the computed tomography (CT) and contrast-enhanced CT, AE patients were further categorized into HAE with VI (VIAE; 27 cases) and HAE without VI (NVAE; 15 cases). The sCD155 concentration was measured by an enzyme-linked immunosorbent assay (ELISA). Correlations between sCD155 expression levels and clinicopathological features of AE patients were analyzed using SPSS and GraphPad Prism software. ResultsThe sCD155 concentrations in AE patients were significantly higher than in HCs. The serum sCD155 level significantly differed between the VIAE and NVAE groups. The univariate analysis showed that VI of AE was significantly correlated with the sCD155 level when the sCD155 was greater than 11 ng/mL. After adjusting for potential confounding factors, the multivariable analysis showed that sCD155 had an independent effect on VI of HAE. The receiver operating characteristic (ROC) curve showed that sCD155 could differentially diagnose VI of HAE at the cut-off value of 11.08 ng/mL with an area under the curve (AUC) value of 0.75. The sensitivity and specificity were 74.07 % and 66.67 %, respectively; the positive and negative predictive values were 74.07 % and 60.00 %, respectively. ConclusionThe sCD155 could be a VI biomarker for HAE. Elevated sCD155 levels are indicative of an increased likelihood of concomitant VI in HAE patients, necessitating a thorough evaluation of vascular impairment and the formulation of individualized management strategies.

Applications of Exosome Vesicles in Different Cancer Types as Biomarkers.

One of the biggest challenges in the fight against cancer is early detection. Early diagnosis is vital, but there are some barriers such as economic, cultural, and personal factors. Considering the disadvantages of radiological imaging techniques or serological analysis methods used in cancer diagnosis, such as being expensive, requiring expertise, and being time-consuming, there is a need to develop faster, more reliable, and cost-effective diagnostic methods for use in cancer diagnosis. Exosomes, which are responsible for intercellular communication with sizes ranging from 30-120 nm, are naturally produced biological nanoparticles. Thanks to the cargo contents they carry, they are a potential biomarker to be used in the diagnosis of cancer. Exosomes, defined as extracellular vesicles of endosomal origin, are effective in cancer growth, progression, metastasis, and drug resistance, and changes in microenvironmental conditions during tumor development change exosome secretion. Due to their high cellular activity, tumor cells produce much higher exosomes than healthy cells. Therefore, it is known that the number of exosomes in body fluids is significantly rich compared to other cells and can act as a stand-alone diagnostic biomarker. Cancer- derived exosomes have received great attention in recent years for the early detection of cancer and the evaluation of therapeutic response. In this article, the content, properties, and differences of exosomes detected in common types of cancer (lung, liver, pancreas, ovaries, breast, colorectal), which are the leading causes of cancer-related deaths, are reviewed. We also discuss the potential utility of exosome contents as a biomarker for early detection, which is known to be important in targeted cancer therapy.

Entamoeba histolytica Infection in the Philippines: A Review

Entamoeba histolytica, an intestinal protozoan parasite, is the primary causative agent of both intestinal and extraintestinal amoebiasis. While six species of Entamoeba have been identified in the human gut, only E. histolytica is well recognized as a pathogenic amoeba associated with intestinal and extraintestinal infections. In many cases of E. histolytica infection, symptoms are either absent or mild, whereas the most frequent clinical manifestations are colitis and liver abscess due to amoebic infection. Diagnosis typically relies on microscopic and serological methods. Metronidazole is the standard therapy for treating children and adults with invasive amoebiasis. However, the absence of an effective vaccine poses a significant challenge to controlling the transmission and progression of the parasite into an active, invasive disease. Notably, in developing tropical countries like the Philippines, significant cases of E. histolytica infections have been documented in communities with inadequate sanitation and hygiene practices. The development of pragmatic and cost-effective diagnostic methods is therefore crucial for the clinical care of amoebiasis patients. Drawing from a limited pool of published articles (2010 to date) on cases of E. histolytica infections and parasitological surveys in the Philippines, the current review underscores the critical knowledge gap on the prevalence of amoebiasis as well as the disease pathology and treatment of this zoonotic parasitic disease.

Exploring the diversityof uncommon oral yeast species andassociated risk factorsamong substance abusers insouthwestern Iran.

Yeast species are a group of coexistent microorganisms in the oral cavity that can cause opportunistic infections in vulnerable individuals, including addicts. This study aimed to identify the yeast species profile responsible for oral yeast colonization (OYC) and the associated risk factors in patients with substance use disorder (SUD) in Ahvaz, Iran. Oral samples were collected from drug users hospitalized in 12 addiction treatment centers, and the related clinical information was mined. Oral yeast species were identified using 21-plex PCR and sequencing of the internal transcribed spacer region (ITS1-5.8S-ITS2). A total of 244 yeast strains were identified from 245 individuals with substance abuse. Candida albicans was the most common species (37.7%) and non-albicans Candida was responsible for 57.7% of OYC, primarily C. dubliniensis (33.2%) and C. glabrata (11.9%). Moreover, uncommon oral yeasts constituted 5.3% of species, including Saccharomyces cerevisiae, Clavispora lusitaniae, Pichia kluyveri, Geotrichum candidum, Magnusiomyces capitatus, Hanseniospora opuntiae, Wickerhamomyces subpelliculosus, Trichosporon asahii, and Aureobasidium pullulans. Importantly, OYC exhibited associations with such factors as duration of drug use, daily drug consumption rate, opioid utilization, oral drug administration, and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) score. The present study is the pioneering investigation revealing the prevalence and diversity of oral yeast species, along with associated risk factors, in individuals with SUD in southwestern Iran. Furthermore, it underscores the importance of developing efficient and cost-effective diagnostic methods tailored for resource-constrained settings.

Label-free cell detection of acute leukemia using ghost cytometry.

Early diagnosis and prompt initiation of appropriate treatment are critical for improving the prognosis of acute leukemia. Acute leukemia is diagnosed by microscopic morphological examination of bone marrow smears and flow cytometric immunophenotyping of bone marrow cells stained with fluorophore-conjugated antibodies. However, these diagnostic processes require trained professionals and are time and resource-intensive. Here, we present a novel diagnostic approach using ghost cytometry, a recently developed high-content flow cytometric approach, which enables machine vision-based, stain-free, high-speed analysis of cells, leveraging their detailed morphological information. We demonstrate that ghost cytometry can detect leukemic cells from the bone marrow cells of patients diagnosed with acute lymphoblastic leukemia and acute myeloid leukemia without relying on biological staining. The approach presented here holds promise as a precise, simple, swift, and cost-effective diagnostic method for acute leukemia in clinical practice.

Diagnosis, treatment and prevention of turkey histomonosis

The scientific significance of the research results lies in the analysis of the epizootological features of helminthiasis and histomoniasis of turkeys in farms and private farms engaged in turkey breeding, the clinical course of the disease, hematological and biochemical changes in the body of turkeys when using some new anthelmintics and vitamin complexes, theoretical and practical justification for the effectiveness of the drugs. The practical significance of the research results lies in the fact that with widespread helminthiasis and histomoniasis in turkeys, the use of antiparasitic drugs and vitamin complexes in turkey farms leads to the recovery of turkey poults, an increase in their viability, growth and development, weight gain, and the achievement of an increase in productivity for through their use in disease prevention. The epizootology and causes of the spread of helminthiasis and histomonosis of turkeys in turkey poultry farms managed by farmers and private individuals of the republic were identified. The use of vitamin complexes in addition to antiparasitic drugs is scientifically substantiated in order to reduce the duration of treatment for turkey histomoniasis, their positive effect on the hemomorphological and hemobiochemical parameters of turkeys. Practical recommendations for the diagnosis, treatment and prevention of turkey histomoniasis have been developed for the widespread use of effective, cost-effective diagnostic methods.

Scrub typhus in Northeast India: epidemiology, clinical presentations, and diagnostic approaches.

Scrub typhus is one of the most neglected tropical diseases, a leading cause of acute undifferentiated febrile illness in areas of the 'tsutsugamushi triangle', diagnosed frequently in South Asian countries. The bacteria Orientia tsutsugamushi is the causative agent of the disease, which enters the human body through the bite of trombiculid mites (also known as chiggers) of the genus Leptotrombidium deliense. Diagnosis of the disease is challenging, as its early symptoms mimic other febrile illnesses like dengue, influenza and corona viruses. Lack of rapid, reliable and cost-effective diagnostic methods further complicates the identification process. Northeast India, a mountainous region with a predominantly rural tribal population, has witnessed a resurgence of scrub typhus cases in recent years. Various ecological factors, including rodent populations, habitat characteristics and climatic conditions, influence its prevalence. Entomological investigations have confirmed the abundance of vector mites, highlighting the importance of understanding their distribution and the probability of transmission of scrub typhus in the region. Proper diagnosis, awareness campaigns and behavioural interventions are essential for controlling scrub typhus outbreaks and reducing its impact on public health in Northeast India. Further research and community-based studies are necessary to accurately assess the disease burden and implement effective prevention strategies.

Hepatocellular Carcinoma in Non-Fibrotic Liver: A Narrative Review.

Hepatocellular carcinoma (HCC) in a non-fibrotic liver (F0) is considered to be rare, and there is a marked paucity of studies in the literature on this HCC type. A review of the literature shows some important clinical and tumor characteristics: (a) it occurs mainly in young female and elder male patients; (b) clinically, under normal hepatic function, alpha-fetoprotein level is often normal, and there are no risk factors; (c) associated with metabolic disease; (d) macroscopically, single large lesions are noted; and (e) microscopically, the lesions are well-differentiated and encapsulated. Radiological imaging results are straightforward, showing arterial hyperenhancement and later wash-out. The combined use of B-mode and contrast-enhanced (CE) ultrasound (US) is the most reliable and cost-effective diagnostic method. Few peri-and post-operative complications are noted and 5-year survival is not inferior to patients with HCC on fibrosis liver despite the lesion's large size. Most clinicians believe that HCC is unlikely to occur if patients have no symptoms and normal hepatic function. Although detailed clinical data are very limited, we expect that this review will help to improve the clinical management of HCC in non-fibrotic livers.

Research progress on biomarkers and detection methods for Alzheimer's disease diagnosis in vitro

Alzheimer's disease (AD) is a neurodegenerative disease with insidious onset, posing a serious threat to human physical and mental health. The cognitive impairments caused by AD are generally diffuse and overlap symptomatically with other neurodegenerative diseases. Moreover, the symptoms of AD are often covert, leading to missed opportunities for optimal treatment after diagnosis. Therefore, early diagnosis of AD is crucial. In vitro diagnostic biomarkers not only contribute to the early clinical diagnosis of AD but also aid in further understanding the disease's pathogenesis, predicting disease progression, and observing the effects of novel candidate therapeutic drugs in clinical trials. Currently, although there are numerous biomarkers associated with AD diagnosis, the complex nature of AD pathogenesis, limitations of individual biomarkers, and constraints of clinical detection methods have hindered the development of efficient, cost-effective, and convenient diagnostic methods and standards. This article provides an overview of the research progress on in vitro diagnostic biomarkers and detection methods related to AD in recent years.

Utilizing Protein-Peptide Hybrid Microarray for Time-Resolved Diagnosis and Prognosis of COVID-19.

The COVID-19 pandemic has highlighted the urgent need for accurate, rapid, and cost-effective diagnostic methods to identify and track the disease. Traditional diagnostic methods, such as PCR and serological assays, have limitations in terms of sensitivity, specificity, and timeliness. To investigate the potential of using protein-peptide hybrid microarray (PPHM) technology to track the dynamic changes of antibodies in the serum of COVID-19 patients and evaluate the prognosis of patients over time. A discovery cohort of 20 patients with COVID-19 was assembled, and PPHM technology was used to track the dynamic changes of antibodies in the serum of these patients. The results were analyzed to classify the patients into different disease severity groups, and to predict the disease progression and prognosis of the patients. PPHM technology was found to be highly effective in detecting the dynamic changes of antibodies in the serum of COVID-19 patients. Four polypeptide antibodies were found to be particularly useful for reflecting the actual status of the patient's recovery process and for accurately predicting the disease progression and prognosis of the patients. The findings of this study emphasize the multi-dimensional space of peptides to analyze the high-volume signals in the serum samples of COVID-19 patients and monitor the prognosis of patients over time. PPHM technology has the potential to be a powerful tool for tracking the dynamic changes of antibodies in the serum of COVID-19 patients and for improving the diagnosis and prognosis of the disease.

Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier

Fine needle aspiration (FNA) biopsy of thyroid nodules is a safe, cost-effective, and accurate diagnostic method for detecting thyroid cancer. However, about 10% of initial FNA biopsy samples from patients are non-diagnostic and require repeated FNA, which delays the diagnosis and appropriate care. On-site evaluation of the FNA sample can be performed to filter out non-diagnostic FNA samples. Unfortunately, it involves a time-consuming staining process, and a cytopathologist has to be present at the time of FNA. To bypass the staining process and expert interpretation of FNA specimens at the clinics, we developed a deep learning-based ensemble model termed FNA-Net that allows in situ screening of adequacy of unstained thyroid FNA samples smeared on a glass slide which can decrease the non-diagnostic rate in thyroid FNA. FNA-Net combines two deep learning models, a patch-based whole slide image classifier and Faster R-CNN, to detect follicular clusters with high precision. Then, FNA-Net classifies sample slides to be non-diagnostic if the total number of detected follicular clusters is less than a predetermined threshold. With bootstrapped sampling, FNA-Net achieved a 0.81 F1 score and 0.84 AUC in the precision-recall curve for detecting the non-diagnostic slides whose follicular clusters are less than six. We expect that FNA-Net can dramatically reduce the diagnostic cost associated with FNA biopsy and improve the quality of patient care.

Cost-effectiveness analysis of diagnostic strategies for COVID-19 in Iran

BackgroundSince 2020, COVID-19 has become a global public health issue and has caused problems worldwide. This infection can lead to a fever and respiratory problems. Asymptomatic carriers of the virus are a significant part of the spread of the disease, so early screening and diagnosis of suspected cases of COVID-19 are essential. Generally, standard diagnostic methods include lung imaging (CT), polymerase chain reaction (PCR), and corona antibody (IgM&IgG) testing. However, the costs of the above tests for the healthcare system cannot be ignored, and evaluating the incremental costs against the additional benefit is necessary. Therefore, this study aimed to determine the cost-effectiveness of diagnostic methods for COVID-19 patients.Materials and methodsIn this research, an economic evaluation analysis was conducted to reveal the cost-effectiveness of the diagnostic strategies for COVID-19 from the service provider’s perspective. Basic information about the costs of CT, serology (IgG&IgM), and molecular (PCR) tests were collected from the Ministry of Health of Iran. The effectiveness data were calculated according to the sensitivity and specificity of the diagnostic tests for COVID-19. In this study, the incremental cost-effectiveness ratio (ICER) of the diagnostic strategies for COVID-19 was estimated, and the most cost-effective diagnostic strategy was determined. In calculating ICER and analyzing the sensitivity of the results, Treeage software was used.ResultsAccording to the calculated incremental effectiveness cost ratio for scenarios with 5, 10, and 50% prevalence of COVID-19 and according to the threshold defined by the World Health Organization, in the study, PCR, PCR, and IgG&IgM strategies are the most cost-effective diagnostic methods of the corona. Also, the results were not sensitive to the desired parameters based on the results of one-way sensitivity analysis.ConclusionNowadays there are various tests with different levels of accuracy in the diagnosis of COVID-19. In general, PCR tests are more cost-effective for low prevalence of Covid-19, while IgM&IgG tests are more cost-effective for high estimated prevalence. The results of this research can help policymakers and health system managers to validate the most accurate diagnostic method for COVID-19, considering the prevalence of the disease.

Oxidative Stress Enzyme as Markers in Oral Potentially Malignant Disorders and Oral Squamous Cell Carcinoma Patients.

Oxidative stress is a recognized factor that poses a significant risk for the development of Oral Squamous Cell Carcinoma (OSCC) and Oral Submucous Fibrosis (OSMF), as it leads to the generation of Reactive Oxygen Species. In recent years, there has been significant research on the enzymes MDA (malondialdehyde) and SOD (superoxide dismutase), investigating their potential role in the development of OPMD and OSCC. These enzymes have emerged as promising biomarkers due to their ability to provide a less invasive, cost-effective, and objective diagnostic method. Furthermore, they can be used to monitor disease progression and assess the effectiveness of therapy. The aim of this study was to assess the levels of MDA and SOD in the serum of patients diagnosed with OSCC and OSMF. Study group comprised of 60 patients, out of which 20 cases of clinically diagnosed OSCC patients and 20 cases of OSMF and 20 cases pf control comprising of healthy patients were recruited. Estimation MDA and SOD was done by ELISA. The statistical analysis was done using SPSS analysis. When comparing the levels of MDA and SOD between the OSCC and OSMF groups and the control group, statistically significant findings indicated elevated levels of malondialdehyde and reduced levels of superoxide dismutase in both the OSCC and OSMF groups. In this study, the assessment of lipid peroxidation through MDA levels revealed elevated concentrations in both the OSCC and OSMF groups when compared to the control group. Specifically, the order of MDA levels was observed as OSCC > OSMF > Control. Conversely, antioxidant enzyme levels, such as SOD, exhibited decreased concentrations in the OSCC and OSMF groups compared to the control group, with the order of SOD levels being Control > OSMF > OSCC. Consequently, the findings suggest that MDA and SOD can be considered potential biomarkers for identifying and monitoring OSCC and OSMF diseases.