Convalescent plasma transfusion in severe or critically ill COVID 19 patients: a rapid systematic review

Currently, there is no availability of any proven specific treatment or prevention strategy to fight against COVID-19. Convalescent plasma (CP) therapy is expected to increase survival rates in COVID-19 as in the case of emerging viral infection (SARS-CoV and MERS-CoV). To collect all the studies relevant to CP therapy in critically ill or severe COVID-19 patients and summarize the findings. The systematic review was conducted according to the PRISMA consensus statement. A systematic search was performed in PubMed, Scopus, Web of Science, and Cochrane databases on April 25, 2020. A total of six studies (28 patients) relevant to CP therapy in severe or critical COVID-19 are considered for inclusion. Two authors extracted the data about study characteristics, demographics, symptoms, co-morbidities, clinical classification of COVID-19, drug therapies, oxygen therapy, laboratory results, chest CT, neutralizing antibody titer, SARS-CoV-2 RNA load, aal outcome. The review findings revealed that CP therapy increases lymphocyte count, reduced s serum inflammatory markers (CRP, IL-6, Procalcitonin) and liver enzyme levels (AST or ALT). There was a rise in serum neutralizing antibody titers in 10 of 14 patients after CP transfusion. In 4 of 14 patients, the titer levels remain unchanged after CP transfusion. All 28 cases (100%) achieved negative to the SARS-CoV-2 RNA after CP transfusion. The convalescent plasma transfusion can improve neutralizing antibody titers and reduces the viral load in severe/critical COVID-19 patients. The review recommends a well-controlled trial design is required to give a definite statement on the safety and efficacy of convalescent plasma therapy in severe/critical COVID-19.

Haematological changes and metabolic alterations in SARS-CoV-2 infected patients hospitalised at an Infectious Diseases Center, Ibadan, Nigeria

Introduction and aim. Following the use of repurposing drugs to successfully manage coronavirus disease 2019 (COVID-19) patients in an Infectious Diseases Center (IDC) in Nigeria, it was imperative to assess haematological changes and metabolic alterations in these patients which may inform recommendations for future use. Material and methods. Blood samples of admitted COVID-19 Nigerian patients during therapeutic management were analysed for haematological- (total white blood cells (WBC), lymphocyte, monocyte, neutrophil, eosinophil, basophil and neutrophil:lymphocyte ratio) and blood chemistry-parameters [total protein, total and conjugated bilirubin, alkaline phosphatase (ALP), aspartate aminotransferase (AST), alanine transaminase (ALT), gamma-glutamyl transferase (GGT), albumin, urea, creatinine, total cholesterol, triglycerides, low-density lipoprotein (LDL), high-density lipoprotein (HDL), PO43-, Ca2+, uric acid, Na+, K+, Cl- and HCO3-] using autoanalysers. The percentages of patients having values below, within and above reference ranges were compared using Chi-square test while the mean values at admission were compared with mean values at discharge using Student t-test. Results. The mean values of total protein, albumin, Na+, HCO3-, uric acid, Ca2+, WBC, platelets, lymphocytes, eosinophils and basophils were significantly increased in COVID-19 patients at discharge compared with COVID-19 patients at admission. Also, more percentages of COVID-19 patients at discharge compared with COVID-19 patients at admission had albumin, ALP, total bilirubin, HDL, Na+, K+, Cl-, HCO3-, urea, creatinine, WBC, lymphocytes, neutrophils, monocytes, eosinophils and basophils within normal reference intervals. Conclusion. This study showed that most metabolic and haematological derangements were normalised by repurposing drugs in most of the COVID-19 patients at this IDC, thus supporting the continuous use of this therapeutic option. © 2022 Universidad Nacional de Colombia, , Department of Linguistics. All rights reserved.

Phytochemical Characterization and Screening of the Anti-Pneumonia (Anti-COVID-19, Anti-Fungal, and Anti-Bacterial) Activities of Cuscuta Campestris Extract

Introduction: Although, several vaccines are being approved, no effective antiviral drug has been developed for COVID-19 infectious. The present investigation was aimed to increase the essential oils of Cuscuta campestris using far-red light treatment and examine the potential of crude extracts of C. campestris against selected pneumonia pathogens and COVID-19.Methods: Anti-COVID-19 activity was determined in human lung cell lines and COVID-19 positive patients.Results: Results demonstrated that the aqueous extract had the highest amount of anti-COVID-19, antibiotic and antioxidant activity. The far-red light treatment increased Scoparone, cineole, Benzofuran, 2, 3- dihydro, Cinnamic acid, and Benzo[h]quinoline, 2, 4-dimethyl, which are mainly effective components against COVID-19 inflammation and pneumonia microbes. CT scan and clinical laboratory tests in a clinical case study, a 30-year-old woman who presented with severe 2019-nCoV, demonstrated that inhalation of 30 mg extract nebulized/day for seven days resulted in significant improvement in consolidation and ground-glass opacity in lungs on the seventh day of treatment.Conclusion: It is hoped that this study leads to the introduction of some compounds that could be used to formulate new and more potent anti-COVID-19 antibiotics, or other drugs of natural origin in medicine.

Comparison of COVID-19 home-testers vs. laboratory-testers in New York State (excluding New York City), November 2021 to April 2022.

Background: Though the use of coronavirus disease 2019 (COVID-19) home testing kits is increasing, individuals who use home tests are not accounted for in publicly reported COVID-19 metrics. As the pandemic and the methods for tracking cases evolve, it is critical to understand who the individuals excluded are, due to their use of home testing kits, relative to those included in the reported metrics. Methods: Five New York State databases were linked to investigate trends in home-tested COVID-19 cases vs. laboratory-confirmed cases from November 2021 to April 2022. Frequency distributions, multivariate logistic regression adjusted odds ratios (aOR), and 95% confidence intervals (CI) were used to compare the characteristics of the home-tested and laboratory-tested people. Results: Of the 591,227 confirmed COVID-19 cases interviewed, 71,531 (12%) of them underwent home tests, 515,001 (87%) underwent laboratory tests, and 5,695 (1%) underwent both home tests and laboratory tests during this period. Home-tested COVID-19 cases increased from only 1% in November 2021 to 22% in April 2022. Children aged 5-11 years with an aOR of 3.74 (95% CI: 3.53, 3.96) and adolescents aged 12-17 years with an aOR of 3.24 (95% CI: 3.07, 3.43) were more likely to undergo only home tests compared to adults aged 65 years and above. On the one hand, those who were "boosted" (aOR 1.87, 95% CI: 1.82, 1.93), those in K-12 school settings (aOR 2.33, 95% CI: 2.27, 2.40), or those who were possibly infected by a household member (aOR 1.17, 95% CI: 1.13, 1.22) were more likely to report home testing instead of laboratory testing. On the other hand, individuals who were hospitalized (aOR 0.04, 95% CI: 0.03, 0.06), who had underlying conditions (aOR 0.85, 95% CI: 0.83, 0.87), who were pregnant (aOR 0.76, 95% CI: 0.66, 0.86), and who were Hispanic (aOR 0.50: 95% CI: 0.48, 0.53), Asian (aOR 0.31, 95% CI: 0.28, 0.34), or Black (aOR 0.45, 95% CI: 0.42, 047) were less likely to choose home testing over laboratory testing. Conclusion: The percentage of individuals with confirmed COVID-19 who used only home testing kits continues to rise. People who used only home testing were less likely to be hospitalized and were those with a lower likelihood of developing a severe disease given factors such as age, vaccination status, and underlying conditions. Thus, the official COVID-19 metrics primarily reflected individuals with severe illness or the potential for severe illness. There may be racial and ethnic differences in the use of home testing vs. laboratory testing.

Assessment of methemoglobin, hemoglobin, ferritin and lactate dehydrogenase in COVID-19 patients

Today world is trying to cope with the biggest pandemic caused by Coronavirus disease 2019 (COVID-19). The disease is graded as mild, moderate, serious and critical illness. Very few studies are done with methemoglobin along with other parameters for the assessment of the severity of COVID-19 disease. The objectives of the study were to estimate methemoglobin (Met-Hb), hemoglobin (Hb), ferritin and lactate dehydrogenase (LDH) levels in patients with COVID-19 disease and to investigate the interaction between these parameters and the severity of the disease. This observational study was conducted in three groups of COVID-19 patients- moderate, severe and critical, each group containing 30 patients, between June 2021 and September 2021 in the biochemistry department of a tertiary care hospital. For all patients, Met-Hb, Hb, ferritin, and LDH levels were estimated on the 2nd-3rd day of hospital admission. Patients in the critical group were older and had significantly high values of Met-Hb, ferritin and LDH and significantly low values of Hb (P<0.05). In multivariate ordinal regression analysis, older age (OR-3.08;95%CI:1.19-7.19;P-0.019), higher values of LDH (OR-8.66;95%CI:2.53-29.5;P-0.001) and ferritin (OR-3.08;95%CI:1.09-8.7;P-0.033) were independently associated with severity of the disease. A cut-off value of 410.50 U/L for LDH predicted the severity of the disease with 90% sensitivity and 88.3% specificity. In conclusion, higher levels of LDH and ferritin were related to the severity of the disease in COVID-19 cases. Although Met-Hb showed a minimal increase without any association with severity, it may be an underlying cause of hypoxia that may go unnoticed. So, monitoring of all these parameters should be done at intervals.

Analysis laboratory results of three cases of COVID-19 complicated with falciparum malaria

Objective: To analyze the laboratory indexes of patients infected with malaria patients and COVID-19, so as to provide reliable evidence for the diagnosis of mixed infection of both. Methods The routine clinical laboratory items such as routine blood, biochemistry and lymphocyte subsets were tested in three cases of COVID-19 complicated with falciparum malaria who admitted to Guangzhou Eighth People's Hospital Affiliated to Guangzhou Medical University from July to December 2020 were tested. Laboratory data were stage-wise analyzed in conjunction with changes in the course of disease. Results Three patients confirmed COVID-19 infection recruited all had malaria infection history. Fever, headache, and other symptoms emerged on the 4rd to 11th day after admission. Malaria parasite was detected by malaria parasite antigen testing and blood smear testing, and all three patients had re-ignition of malaria after being confirmed COVID-19 infection. In the early stage of malaria relapse, lymphocytes decreased, CRP and SAA increased, and gradually returned to normal level after antimalarial treatment. Interestingly, we only found one patient at the initial stage of malaria detection showed PLT decreased, no other unnormal changes in other routine blood results (WBC, ESO) and liver function results (ALT, AST, GGT, TBIL, DBIL, CG) were found from the beginning to end course of the disease. Conclusion COVID-19 infection may promote the resurgence of malaria, so the relapse of malaria should be monitored especially for the patient with malaria infection history who begin to develop fever and other symptoms a few days after the diagnosis of COVID-19. The inflammatory indicators would be worth able as an auxiliary judgment basis for the effective treatment of the two combined infection.

Observation of changes of early laboratory indicators and COVID-19 vaccine protection in patients infected with SARS-CoV-2 Delta variant

Objective: To observe early laboratory indicators in peripheral blood of patients infected with SARSCoV- 2 Delta variant and the protective effects of COVID-19 vaccine on patients infected with SARS-CoV-2 Delta variant, in order to provide reference for epidemic prevention and control. Methods: Twenty-five Chengdu local confirmed nonsevere COVID-19 patients over 18 years old who were infected with COVID-19 caused by Delta variant in November 2021 were included as the research group, 22 cases of whom were vaccinated with COVID-19 vaccine before infection, and 3(2 cases over 80 years old)were unvaccinated. In addition, 71 non-severe COVID-19 patients at the age of over 18 years diagnosed in Chengdu from January 2020 to February 2020 were included as the control group. Peripheral blood was collected for laboratory examination in all cases on the first or second days after admission, and peripheral blood was collected for laboratory examination again in patients on day 4 to 8 after admission in the research group. Laboratory indicators included the blood routine, C-reactive protein, procalcitonin, liver function, myocardial enzyme profile, coagulation routine, T lymphocyte subsets, SARS-CoV-2 IgG antibody, and total antibody, etc. The first peripheral blood laboratory test results: of the two groups were compared to observe the protective effect of COVID-19 vaccine on patients infected with SARS-CoV- 2 Delta variant. Results Among the first time of laboratory indicators after admission, the lymphocyte count, lactate dehydrogenase, and D-dimer in the research group were all lower than those in the control group(all P < 0.05), and the procalcitonin and aspartate aminotransferase were higher than those in the control group(all P < 0.05). Among the 22 cases who had gotten vaccine before infection in the research group, there were 5 cases with positive result of SARS-CoV-2 IgG antibody in the first time of peripheral blood, 22 cases with positive result of SARS-CoV-2 IgG antibody in the second time of peripheral blood, and none of them became severe cases. During 3 unvaccinated cases, twice of the SARS-CoV-2 IgG antibody were both negative among the 2 cases over 80 years who had not vaccinated in the research group, then they became severe cases on day 6-8 during hospitalization, and the rest one had negative result of SARS-CoV-2 IgG antibody in the second time of peripheral blood. Among the 22 vaccinated cases in the research group, the lymphocyte count, CD4+T cell count, CD8+T cell count, SARS-CoV-2 specific antibodies in the second time peripheral blood were all higher than those in the first time of peripheral blood(all P < 0.05), and platelet count, hemoglobin, total protein, creatine kinase were all lower than those in the first time of peripheral blood(all P < 0.05). Conclusions: Lymphocyte count at early admission in COVID-19 patients infected with Delta variant may be lower than that infected with wild strain. COVID-19 vaccine can reduce the risk of infection of SARS-CoV-2 Delta variant by preventing the emergence of inflammatory storms and producing a large number of specific antibodies.

The association between chest CT severity scores, CO-RADS, vitamin D levels and other laboratory parameters of COVID-19 patients

Objective: This study determined the correlation between several laboratory variables, chest computed tomography severity score (CTSS), and coronavirus disease-2019 (COVID-19) Reporting and Data System (CO-RADS) in COVID-19 patients. Materials and Methods: Ninety-one patients with COVID-19 infection verified by polymerase chain reaction test, presented to the emergency department with COVID-19 symptoms, and had a thoracic computed tomography (CT) scan at the time of admission were included in this retrospective study. 25-hydroxyvitamin D [25(OH)D] levels, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), D-dimer, glucose, ferritin, creatinine, alanine aminotransferase, aspartate aminotransferase, phosphorous, and calcium levels recorded and CO-RADS and CTSS data. The correlation of laboratory parameters with radiological findings was analyzed. Results: A positive correlation was found between CTSS and age, ESR, CRP, D-dimer while a negative correlation was found between CTSS and lymphocyte count. Patients with high CTSS levels had higher ESR, CRP, D-dimer, ferritin values and lower lymphocyte count, and lower calcium levels. Patients with typical CO-RADS involvement had higher sedimentation, CRP, glucose, and ferritin levels and lower lymphocyte count. No significant correlation was determined between the 25(OH)D level, CO-RADS, and CTSS. Conclusion: The results of this study highlight that the reduced lymphocyte count, high D-dimer, sedimentation, ferritin, and CRP levels are predictors of severe lung involvement in COVID-19 patients. Hypocalcemia can also be considered a marker of severe lung involvement evaluated by CT in COVID-19 patients. the association between vitamin D deficiency and COVID-19 pneumonia should be investigated in future studies.

Interpretation of chest CT scan of patients with COVID-19 in imam Khomeini Hospital of Jiroft University of Medical Sciences from December to March 2019

Background & Aims: Along with laboratory testing, chest CT scans may be helpful to diagnose COVID-19 in individuals with a high clinical suspicion of infection. Due to their availability and rapid turnaround time, the role of chest computed tomography (CT) scan is growing for early diagnosis of patients with COVID-19. However, due to the low efficiency of viral nucleic acid detection as well as low specificity of chest CT scan for detecting COVID-19 pneumonia, this method shows incomplete clinical performance for proper COVID-19 disease diagnosis. Due to the highly contagious nature of the Coronavirus 2019 and the importance of early detection of the disease, a limited number of nucleic acid test kits, such as rRT-PCR and the possibility of false-negative rRT-PCR results, chest CT scan as a non-invasive method, it can be a highly accurate tool for early detection of suspected COVID-19 cases. The purpose of this study was the Interpretation of chest CT scan of patints with COVID-19 in Imam Khomeini Hospital of Jiroft University of Medical Sciences from December to March 2019 Methods: This research is a retrospective study that was conducted with the aim of interpreting CT scans of the chest in patients with covid-19 in Imam Khomeini Hospital, Jiroft University of Medical Sciences from March 2018 to June 2019. After obtaining permission from the ethics committee of the university, the researcher appeared in the research environment according to the pre-determined schedule for sampling. The desired data were extracted from the patients' files and recorded in a questionnaire form that was designed for this purpose. The criteria for entering the study included cases whose demographic information, clinical and laboratory data were complete and the positive PCR test along with chest CT imaging findings were available in the file, the exclusion criterion was the presence of low quality chest images. The data were extracted from the hospital information system based on clinical electronic medical records. including demographic information including age, sex, level of education and data related to the underlying disease, disease symptoms (cough, fever, phlegm, shortness of breath, chest pain, etc.) and the frequency of imaging findings in the chest CT scan that They were examined and evaluated according to age, gender, level of education, clinical symptoms, underlying disease and based on lymphopenia and lymphocytosis. and chest CT scan report of patients with COVID-19, which was available in the PACS system of this hospital, were evaluated. In this way, all the CT images of the chest by a radiologist as well as a lung specialist who were not aware of the clinical and laboratory data of the patients, in terms of the types of findings include, Patchy ground glass opcification, diffuse ground glass opacification, Air space opacity, Consolidation, pleural effusion, Atelectasis, Bronchiectasis, Fibrotic change, Cavitation, Lymphadenopathy. And the distribution of conflict was investigated as peripheral, central, bilateral, and unilateral. Results: The highest number of people with Covid-19 were in the age range of 30 to 59 years and men. In CT scan findings, the highest CT scan imaging findings as well as the highest mortality rate in patients were PGGO view (63.3%) and peripheral and bilateral involvement and the lowest frequency was related to Cavitation findings. In the examination of CT scan findings, PGGO and peripheral and bilateral involvement were the most frequent and Cavitation was the least frequent. Also, the findings of PGGO, Peripheral and Bilateral in the CT scan of the people who died had the highest frequency. In none of the imaging findings of the chest scan, there was no statistically significant relationship with the level of education, the level of education and death of patients due to COVID-19. There was no significant difference between gender and the findings of PGGO and Cavitation and peripheral involvement and Bilateral, but between the findings of DGGO and gender and there was a significant relationsh

Pathogenic characteristics of severe acute respiratory infection in adult inpatients in Yangpu District, Shanghai, 2019-2021

Objective: To understand the pathogenic spectrum and epidemiological characteristics of severe acute respiratory infection (SARI) in adult inpatients in Yangpu District, Shanghai, China, in order to explore strategies for the prevention and treatment of respiratory infectious diseases. Methods: Individual cases were from adult inpatients with SARI in Yangpu District, Shanghai, China from January 2019 to July 2021. Their respiratory samples were collected for etiological pathogen testing. Results: A total of 681 SARI cases were enrolled for sampling and lab testing. Among them, 79.00% were aged 60 years and older, and 75.48% had confirmed chronic disease history. A total of 163 infection inpatients (23.94%) were positive for at least one pathogen. The pathogens identified most frequently were influenza A virus (6.75%), followed by rhinovirus/enterovirus (3.23%), parainfluenza virus (PIV) (2.79%), Mycoplasma pneumoniae (2.35%), coronavirus (CoV) (2.06%). The positive rates of adenovirus (AdV), human metapneumovirus (hMPV), respiratory syncytial virus and bocavirus were all less than 2%. Bacterial strains were identified in eleven SARI cases, including Staphylococcus aureus and Pseudomonas aeruginosa (4 strains), Klebsiella pneumoniae (3 strains). Legionella pneumophila was detected in 9 cases (1.32%) and Bordetella pertussis in 5 cases (0.73%). Two pathogens were co-detected from 11 cases, accounting for 1.62% of 163 positive cases. The most common co-detected pathogens were influenza A virus and other pathogens, accounting for 54.55% of the mixed infection. The positive rates of pathogens were not significantly different between less than 60 years old and over 60 years old groups except for Bordetella pertussis, adenovirus and Mycoplasma pneumonia(P < 0.05). Influenza virus had epidemic peak in winter and spring, but not in summer from 2019 to 2021. Conclusion: Various respiratory pathogens are detected from adult SARI cases. It is mainly influenza virus, with co-detected pathogens and rare pathogens. This study provides helpful information for targeted prevention and control measures including vaccination.

COVID-19 infections among passengers in an inbound flight to Beijing

Objective To understand the epidemiological characteristics and laboratory test results of COVID-19 infections among passengers in an inbound flight to Beijing, and to provide reference for the management of imported COVID-19 cases. Methods Flight information, centralized quarantine sites, transfer vehicle, laboratory test results, clinical progression and outcome and other information of all passengers in an inbound flight to Beijing on August 6, 2021 were collected and analyzed. Results A total of 15 passengers were COVID-19 positive. They were all tested negative for nucleic acid 48 h before boarding. The earliest positive was on the day of entry, and the longest was on the 13th day of entry, with the median of being the 3rd day after entry. There were inconsistent nucleic acid test results of 8 positive passengers reported by two institutions and the CT values were close to cutoff. The initial serum antibody levels were higher than 100（s/co） in 6 positive passengers. Nobody was infected during transportation and quarantine. Conclusions Nucleic acid testing before boarding the flight should be able to identify majority of positive cases. Accordingly, joint screening strategy such as blood serum antibody test for inbound passengers with suspicious preliminary screening results of COVID-19 should be implemented to determine the infection history of the case.

Passive Video Quality Assessment Using Lab and Remote Testing

In this chapter, research about the assessment of video quality for gaming content will be provided. At first, a dataset that was used for the development of the ITU-T Rec. G.1072 will be presented. The dataset was created in a laboratory environment using the passive test paradigm described in Chap. 3. Next, some results of the collected video quality ratings will be illustrated. While QoE assessment studies traditionally make use of controlled laboratory environments, there are also other possibilities to conduct user studies without a laboratory environment. Especially during the COVID-19 pandemic, which prevented many researchers from performing lab studies, the concept of supervised and unsupervised remote studies got lots of attention. By using such a remote study design, two studies assessing video quality ratings of similar conditions as in the previously mentioned dataset were conducted. These two studies allow to address three research topics that will be the focus of the remainder of this chapter. At first, it will be investigated whether video quality ratings obtained using the remote study design are comparable to those collected in the lab environment. Second, a comparison between video quality ratings collected using a stimulus duration of 20 s instead of 30 s will be performed, which tries to answer whether it is enough to use a shorter stimulus duration as proposed in ITU-T Rec. P.809. Lastly, the differences between using a discrete 5-point ACR scale and the extended continuous 7-point scales will be investigated. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

BACKGROUND: In electronic health records, patterns of missing laboratory test results could capture patients' course of disease as well as ​​reflect clinician's concerns or worries for possible conditions. These patterns are often understudied and overlooked. This study aims to identify informative patterns of missingness among laboratory data collected across 15 healthcare system sites in three countries for COVID-19 inpatients. METHODS: We collected and analyzed demographic, diagnosis, and laboratory data for 69,939 patients with positive COVID-19 PCR tests across three countries from 1 January 2020 through 30 September 2021. We analyzed missing laboratory measurements across sites, missingness stratification by demographic variables, temporal trends of missingness, correlations between labs based on missingness indicators over time, and clustering of groups of labs based on their missingness/ordering pattern. RESULTS: With these analyses, we identified mapping issues faced in seven out of 15 sites. We also identified nuances in data collection and variable definition for the various sites. Temporal trend analyses may support the use of laboratory test result missingness patterns in identifying severe COVID-19 patients. Lastly, using missingness patterns, we determined relationships between various labs that reflect clinical behaviors. CONCLUSION: In this work, we use computational approaches to relate missingness patterns to hospital treatment capacity and highlight the heterogeneity of looking at COVID-19 over time and at multiple sites, where there might be different phases, policies, etc. Changes in missingness could suggest a change in a patient's condition, and patterns of missingness among laboratory measurements could potentially identify clinical outcomes. This allows sites to consider missing data as informative to analyses and help researchers identify which sites are better poised to study particular questions.

Choice criteria for different methodologies of Sars-CoV-2 diagnosis in clinical laboratories

In the end of 2019, we were startled by the SARS-CoV-2 pandemic, a virus that causes symptoms like other respiratory viruses. Therefore, the correct diagnosis through laboratory tests became necessary. However, there are many tests available on the market, and laboratories must choose the ones to employ. This study aimed to highlight the ways clinical analysis laboratories of the city of Porto Alegre, Brazil, choose each type of test to provide. This was a quantitative, retrospective study. The survey was carried out through an electronic form at the laboratories that were providing COVID-19 exams from 03/2020 to 02/2021. The form was applied in two phases. The first questions about the exams were carried out in the establishment itself, and the second in the outsourced exams. They were asked about the importance of reasons for choosing these tests from zero to five for some parameters. The analysis was simply descriptive. Of the 42 invited, 13 laboratories (31%) participated in the research;of these, 12 performed tests in their own laboratory, four only performed in their laboratory, and 8, in addition to performing in their laboratory, also outsourced, and 1 only outsourced. The most important choice reasons were performance characteristics and validation of the service itself, respectively. The nine laboratories that outsourced the tests presented the methodology used for diagnosis as the most important parameter. The parameters: partner support laboratory, registration within Anvisa, performance characteristics, and reliability in the partner laboratory were very relevant. The price was of average importance in both phases. © 2022, Conselho Federal de Medicina. All rights reserved.

Distinct Laboratory Test Result Profiles Between SARS-CoV-2 and Seasonable Influenza Infected Patients.

OBJECTIVE: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses are contagious respiratory pathogens with similar symptoms but require different treatment and management strategies. This study investigated the differences in laboratory test result profiles between SARS-CoV-2 and influenza infected patients upon presentation to emergency department (ED). METHODS: Laboratory test results and demographic information from 723 influenza positive (2018/1/1 to 2020/3/15) and 1,281 SARS-CoV-2 positive (2020/3/11 to 2020/6/30) ED patients were retrospectively analyzed. The dataset was randomly divided into a training/validation set (2/3) and a test set (1/3) with the same SARS-CoV-2/influenza ratio. Four machine learning models in differentiating the laboratory profiles of RT-PCR confirmed SARS-CoV-2 and influenza positive patients were evaluated. The Shapley Additive Explanations technique was employed to visualize the impact of laboratory tests on the overall differentiation. Furthermore, the model performance was also evaluated in a new test dataset including 519 SARS-CoV-2 ED patients (2020/12/1 to 2021/2/28) and the previous influenza positive patients (2018/1/1 to 2020/3/15). RESULTS: A laboratory test result profile consisting of 15 blood tests, together with patient age, gender, and race can discriminate the two types of viral infections using a random forest (RF) model. The RF model achieved an area under the receiver operating characteristic curve (AUC) of 0.90 in the test set. Among the profile of 15 laboratory tests, the serum total calcium level exhibited the greatest contribution to the overall differentiation. Furthermore, the model achieved an AUC of 0.81 in a new test set. CONCLUSION: We developed a laboratory tests-based RF model differentiating SARS-CoV-2 from influenza, which may be useful for the preparedness of overlapping COVID-19 resurgence and future seasonal influenza.

Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review.

Background: In recent decades, the use of artificial intelligence has been widely explored in health care. Similarly, the amount of data generated in the most varied medical processes has practically doubled every year, requiring new methods of analysis and treatment of these data. Mainly aimed at aiding in the diagnosis and prevention of diseases, this precision medicine has shown great potential in different medical disciplines. Laboratory tests, for example, almost always present their results separately as individual values. However, physicians need to analyze a set of results to propose a supposed diagnosis, which leads us to think that sets of laboratory tests may contain more information than those presented separately for each result. In this way, the processes of medical laboratories can be strongly affected by these techniques. Objective: In this sense, we sought to identify scientific research that used laboratory tests and machine learning techniques to predict hidden information and diagnose diseases. Methods: The methodology adopted used the population, intervention, comparison, and outcomes principle, searching the main engineering and health sciences databases. The search terms were defined based on the list of terms used in the Medical Subject Heading database. Data from this study were presented descriptively and followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses; 2020) statement flow diagram and the National Institutes of Health tool for quality assessment of articles. During the analysis, the inclusion and exclusion criteria were independently applied by 2 authors, with a third author being consulted in cases of disagreement. Results: Following the defined requirements, 40 studies presenting good quality in the analysis process were selected and evaluated. We found that, in recent years, there has been a significant increase in the number of works that have used this methodology, mainly because of COVID-19. In general, the studies used machine learning classification models to predict new information, and the most used parameters were data from routine laboratory tests such as the complete blood count. Conclusions: Finally, we conclude that laboratory tests, together with machine learning techniques, can predict new tests, thus helping the search for new diagnoses. This process has proved to be advantageous and innovative for medical laboratories. It is making it possible to discover hidden information and propose additional tests, reducing the number of false negatives and helping in the early discovery of unknown diseases.

Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC).

Temporal inference from laboratory testing results and triangulation with clinical outcomes extracted from unstructured electronic health record (EHR) provider notes is integral to advancing precision medicine. Here, we studied 246 SARS-CoV-2 PCR-positive (COVIDpos) patients and propensity-matched 2460 SARS-CoV-2 PCR-negative (COVIDneg) patients subjected to around 700,000 lab tests cumulatively across 194 assays. Compared to COVIDneg patients at the time of diagnostic testing, COVIDpos patients tended to have higher plasma fibrinogen levels and lower platelet counts. However, as the infection evolves, COVIDpos patients distinctively show declining fibrinogen, increasing platelet counts, and lower white blood cell counts. Augmented curation of EHRs suggests that only a minority of COVIDpos patients develop thromboembolism, and rarely, disseminated intravascular coagulopathy (DIC), with patients generally not displaying platelet reductions typical of consumptive coagulopathies. These temporal trends provide fine-grained resolution into COVID-19 associated coagulopathy (CAC) and set the stage for personalizing thromboprophylaxis.

Evaluation of clinical laboratory parameters in COVID-19 positive cases admitted in Islamabad

Objective: To assess the variation of laboratory parameters in COVID-19 positive patients with different genders and age groups and to clarify the consequences of COVID-19 infection on different patients. Study Design: Prospective study. Setting: IHITC (Isolation Hospital & Infectious Treatment Center), Islamabad. Period: 20th May, 2021 to 25th July, 2021. Material & Methods: Study was conducted With 222 participants among them 119 were COVID positive serve as Case and 103 were COVID negative considered as control. Blood samples were drawn from all participants of study to measure biochemical and hematological laboratory parameters with demographic characteristics. Mean ± standard deviation (SD) of different lab parameters analyzed by using IBM SPSS Statistics 20. Results: Total 222 participants were analyzed having 115 (50.7%) male and 107 (49.3%) female having mean age 60±13.8. No significant variation has been seen in ALP, total bilirubin, creatinine and uric acid having mean values with in normal range. In 119 positive patients, ALT (p=0.001) (t=2.031), urea (p=0.001) (t=7.590), Ferritin (p=0.001) (t=7.13), CRP (p=0.001) (t=9.90) and D-dimer (p=0.001) (t=5.962) were elevated and good predictor of poor prognosis of disease. Pathological impacts of COVID-19 were also represented by hematological parameters including WBC count (p=0.001) (t=7.126), Neutrophil to Lymphocyte Ratio (p=0.001) (t=9.042) and Lymphocyte count (p=0.001) (t=-12.707). Conclusion: According to this research, males and old age population is more susceptible to SARS-2. Our study suggests that laboratory biomarkers including ALT, Urea, Ferritin, CRP, D-dimer and WBC count are significantly associated with poor prognosis in Covid-19 patients. [ FROM AUTHOR]

Characteristics of the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron BA.2 Subvariant in Jilin, China from March to May 2022.

Background and Objectives: In the midst of the pandemic, new coronavirus mutants continue to emerge; the most relevant variant worldwide is omicron. Here, patients who recovered from the disease living in Jilin Province were analyzed to identify factors affecting the severity of omicron infection and to provide insights into its spread and early indication. Methods: In this study, 311 cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were divided into two groups. Data on the patients' demographic characteristics and laboratory tests, including platelet count (PLT), neutrophil count (NE), C-reactive protein (CRP), serum creatinine (SCR), and neutrophil-to-lymphocyte ratio (NLR), were collected. The biomarkers for moderate and severe coronavirus disease 2019 (COVID-19) and factors affecting the incubation period and time to subsequent negative nucleic acid amplification test (NAAT) were also investigated. Results: Age, gender, vaccination, hypertension, stroke, chronic obstructive pulmonary disease (COPD)/chronic bronchitis/asthma, and some laboratory tests were statistically different between the two groups. In the receiver operating characteristic (ROC) analysis, PLT and CRP had higher area under the ROC curve values. In the multivariate analysis, age, hypertension, COPD/chronic bronchitis/asthma, and CRP were correlated with moderate and severe COVID-19. Moreover, age was correlated with longer incubation. In the Kaplan-Meier curve analysis, gender (male), CRP, and NLR were associated with longer time to subsequent negative NAAT. Conclusions: Older patients with hypertension and lung diseases were likely to have moderate or severe COVID-19, and younger patients might have a shorter incubation. A male patient with high CRP and NLR levels might take more time to turn back negative in the NAAT.

Prescription and the cost of laboratory tests for patients admitted to two hospitals of Kashan University of Medical Sciences in the Covid 19 pandemic

Objective (s): Laboratory tests, despite their essential role in the diagnosis and management of many diseases, are often costly. Therefore, this study investigated the prescription and the cost of tests for patients admitted to two hospitals of Kashan University of Medical Sciences in the Covid 19 pandemic. Methods: This was a cross-sectional study on a sample of patients with Covid-19 that admitted to two hospitals of Kashan University of Medical Sciences (a teaching hospital and a general hospital). We collected the data on prescription and laboratory tests and analyzed the data using the statistical tests. Results: The results showed that 42 types of tests were prescribed in the first and third peaks of the Covid 19 pandemic in the two hospitals. Cr, BUN, K, Na tests were the most prescribed tests, and Troponin and CRP were the most expensive tests. There were no significant differences in prescribing and cost of tests in the general hospital, but in the teaching hospital there were significant differences in prescribing and cost of tests in the first and third peaks (P= 0.003). Conclusion: Due to unknown nature of Covid 19 disease and the high incidence of the disease at the beginning of the pandemic, a definite decision for laboratory tests was not possible. However, the findings indicate that many of tests were requested for most patients at regular intervals, while it was more desirable that these were prescribed on a case-by-case basis. © 2022, Iranian Institute for Health Sciences Research. All rights reserved.