scholarly journals Tracking of The Most Significant Laboratory Parameters For The Identification of Covid-19: An Overview on The Different Blood Tests

2020 ◽  
pp. 112-118
Author(s):  
Seenaa Ali
Keyword(s):  
Laboratory Tests ◽  
Systemic Disease ◽  
Laboratory Data ◽  
Virus Transmission ◽  
Albumin Level ◽  
Laboratory Findings ◽  
Multiple Systems ◽  
Laboratory Parameters ◽  
Infected People ◽  
Novel Coronavirus

An outbreak of 2019 novel coronavirus disease (COVID-19) began in China during December 2019 which unexpectedly spread to other countries and caused high mortality all over the world. COVID-19 disease primarily manifests as a respiratory tract infection. However, emerging data indicate that it should be regarded as a systemic disease for affecting multiple systems such as cardiovascular, respiratory, gastrointestinal and immune system. There is an accelerated need for detecting the laboratory tests that can aid in identifying infected people and asymptomatic carriers to control the virus transmission process. Although the clinical manifestation of COVID-19 has been widely defined, an overview of the most significant laboratory findings in patients with COVID-19 infection is still limited. Elevation was the predominate result among most of the laboratory parameters while a few decreased in value. Laboratory data have shown that most patients had a decrease in lymphocyte count, Eosinophils count and albumin level. Also, laboratory data recorded an elevation in Leukocyte, ESR, PT, D-dimer, PCT, CRP, ALT, AST, Bilirubin, Creatinine, CK, LDH, Ferritin, Troponin, Myoglobin, IL-6, IL10 and TNF. In general, the parameters had more prominent laboratory abnormalities in severe cases than with non-severe cases. It is well known that laboratory tests results play an important role and can support the early diagnosis of many diseases. This study was carried out to review the abnormalities among the laboratory tests and track the parameters that showed a frequently significant result supporting the primary detection of SARS-COV-2 infection.

scholarly journals Critically Ill vs. Non-Critically Ill Patients With COVID-19 Pneumonia: Clinical Features, Laboratory Findings, and Prediction

2021 ◽  
Vol 11 ◽  
Author(s):  
Wandong Hong ◽  
Qin Chen ◽  
Songzan Qian ◽  
Zarrin Basharat ◽  
Vincent Zimmer ◽  
...  
Keyword(s):  
Critical Illness ◽  
Disease Severity ◽  
Critically Ill ◽  
Clinical Features ◽  
Critically Ill Patients ◽  
Interleukin 6 ◽  
Discharge Rate ◽  
Laboratory Data ◽  
Laboratory Findings ◽  
Laboratory Parameters

ObjectivesThe objective of this study was to investigate the clinical features and laboratory findings of patients with and without critical COVID-19 pneumonia and identify predictors for the critical form of the disease.MethodsDemographic, clinical, and laboratory data of 63 COVID-19 pneumonia patients were retrospectively reviewed. Laboratory parameters were also collected within 3–5 days, 7–9 days, and 11–14 days of hospitalization. Outcomes were followed up until March 12, 2020.ResultsTwenty-two patients developed critically ill pneumonia; one of them died. Upon admission, older patients with critical illness were more likely to report cough and dyspnoea with higher respiration rates and had a greater possibility of abnormal laboratory parameters than patients without critical illness. When compared with the non-critically ill patients, patients with serious illness had a lower discharge rate and longer hospital stays, with a trend towards higher mortality. The interleukin-6 level in patients upon hospital admission was important in predicting disease severity and was associated with the length of hospitalization.ConclusionsMany differences in clinical features and laboratory findings were observed between patients exhibiting non-critically ill and critically ill COVID-19 pneumonia. Non-critically ill COVID-19 pneumonia also needs aggressive treatments. Interleukin-6 was a superior predictor of disease severity.

scholarly journals Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis

2020 ◽  
Vol 9 (4) ◽  
pp. 941 ◽  
Author(s):  
Israel Júnior Borges do Nascimento ◽  
Nensi Cacic ◽  
Hebatullah Mohamed Abdulazeem ◽  
Thilo Caspar von Groote ◽  
Umesh Jayarajah ◽  
...  
Keyword(s):  
Scoping Review ◽  
Clinical Symptoms ◽  
Meta Analysis ◽  
Laboratory Data ◽  
Gastrointestinal Symptoms ◽  
Common Disease ◽  
Imaging Data ◽  
Laboratory Findings ◽  
Number Of Patients ◽  
Novel Coronavirus

A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-effects models were applied to estimate pooled results. A total of 61 studies were included (59,254 patients). The most common disease-related symptoms were fever (82%, 95% confidence interval (CI) 56%–99%; n = 4410), cough (61%, 95% CI 39%–81%; n = 3985), muscle aches and/or fatigue (36%, 95% CI 18%–55%; n = 3778), dyspnea (26%, 95% CI 12%–41%; n = 3700), headache in 12% (95% CI 4%–23%, n = 3598 patients), sore throat in 10% (95% CI 5%–17%, n = 1387) and gastrointestinal symptoms in 9% (95% CI 3%–17%, n = 1744). Laboratory findings were described in a lower number of patients and revealed lymphopenia (0.93 × 109/L, 95% CI 0.83–1.03 × 109/L, n = 464) and abnormal C-reactive protein (33.72 mg/dL, 95% CI 21.54–45.91 mg/dL; n = 1637). Radiological findings varied, but mostly described ground-glass opacities and consolidation. Data on treatment options were limited. All-cause mortality was 0.3% (95% CI 0.0%–1.0%; n = 53,631). Epidemiological studies showed that mortality was higher in males and elderly patients. The majority of reported clinical symptoms and laboratory findings related to SARS-CoV-2 infection are non-specific. Clinical suspicion, accompanied by a relevant epidemiological history, should be followed by early imaging and virological assay.

scholarly journals Enhancing Robustness of Machine Learning Integration With Routine Laboratory Blood Tests to Predict Inpatient Mortality After Intracerebral Hemorrhage

2022 ◽  
Vol 12 ◽  
Author(s):  
Wei Chen ◽  
Xiangkui Li ◽  
Lu Ma ◽  
Dong Li
Keyword(s):  
Machine Learning ◽  
Intracerebral Hemorrhage ◽  
Laboratory Tests ◽  
Model Building ◽  
Laboratory Data ◽  
Gradient Boosting ◽  
Routine Laboratory ◽  
Inpatient Mortality ◽  
Laboratory Parameters ◽  
Extreme Gradient Boosting

Objective: The accurate evaluation of outcomes at a personalized level in patients with intracerebral hemorrhage (ICH) is critical clinical implications. This study aims to evaluate how machine learning integrates with routine laboratory tests and electronic health records (EHRs) data to predict inpatient mortality after ICH.Methods: In this machine learning-based prognostic study, we included 1,835 consecutive patients with acute ICH between October 2010 and December 2018. The model building process incorporated five pre-implant ICH score variables (clinical features) and 13 out of 59 available routine laboratory parameters. We assessed model performance according to a range of learning metrics, such as the mean area under the receiver operating characteristic curve [AUROC]. We also used the Shapley additive explanation algorithm to explain the prediction model.Results: Machine learning models using laboratory data achieved AUROCs of 0.71–0.82 in a split-by-year development/testing scheme. The non-linear eXtreme Gradient Boosting model yielded the highest prediction accuracy. In the held-out validation set of development cohort, the predictive model using comprehensive clinical and laboratory parameters outperformed those using clinical alone in predicting in-hospital mortality (AUROC [95% bootstrap confidence interval], 0.899 [0.897–0.901] vs. 0.875 [0.872–0.877]; P <0.001), with over 81% accuracy, sensitivity, and specificity. We observed similar performance in the testing set.Conclusions: Machine learning integrated with routine laboratory tests and EHRs could significantly promote the accuracy of inpatient ICH mortality prediction. This multidimensional composite prediction strategy might become an intelligent assistive prediction for ICH risk reclassification and offer an example for precision medicine.

scholarly journals Clinical presentation and CT features in pediatric patients with COVID‐19 infection

2021 ◽  
Author(s):  
Huseyin Avni Solgun ◽  
Isıl Yurdaısık
Keyword(s):  
Pediatric Patients ◽  
Clinical Laboratory ◽  
Close Contact ◽  
Laboratory Data ◽  
Chest Ct ◽  
Pharyngeal Swab ◽  
Laboratory Findings ◽  
Pulmonary Lesions ◽  
Novel Coronavirus ◽  
Ct Features

Abstract Background The aim of this study includes to discuss the clinical, laboratory, and chest computed tomography (CT) in pediatric patients with 2019 novel coronavirus (COVID-19) infection. Material and Methods The clinical, laboratory, and chest CT features of 17 pediatric inpatients with COVID-19 infection confirmed by pharyngeal swab COVID‐19 polymerase chain reaction(PCR). All clinical and laboratory data have been recorded and analyzed during march-february 2021. Chest CT have been performed to all Covid 19 PCR confirmed patients and radiologicall view have been noted. Results Seventeen pediatric patients with a history of close contact with COVID-19 diagnosed family members included to the study. Fever (10/17, 58%) and cough (13/17, 76%) were the most common symptoms. For laboratory findings, c reactive protein elevation (15/17, 88%) seem to be the most finding. A total of 4 patients presented with unilateral pulmonary lesions (4/17, 23%), 9 with bilateral pulmonary lesions (9/17, 52%) and 13 cases showed bilateral diffuse covid pattern on chest CT (13/17, 76%). Non-spesific consolidation with was observed in 8 patients (8/17, 47%), ground‐glass opacities were observed in 11 patients (11/17, 64%), nodules were observed in 7 patients (7/17, 41%), and tiny nodules were observed in 2 patients (2/17, 11%). Conclusion In pediatric patients with positive COVID-19 nucleic acid test from pharyngeal swab samples; the early detection of lesions by CT can be efficient; in management and early treatment for pediatric patients. However; early chest CT screening and COVİD-19 PCR testing together can be more efficent in diagnose.

Role of time-normalized laboratory findings in predicting COVID-19 outcome

Diagnosis ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 387-394
Author(s):  
Davide Ferrari ◽  
Andrea Seveso ◽  
Eleonora Sabetta ◽  
Daniele Ceriotti ◽  
Anna Carobene ◽  
...  
Keyword(s):  
White Blood Cells ◽  
Critical Issue ◽  
Time Dependent ◽  
Prognostic Indicators ◽  
Prognostic Information ◽  
Laboratory Findings ◽  
Laboratory Parameters ◽  
Infected People ◽  
Reactive Protein ◽  
Hospitalization Period

AbstractObjectivesThe pandemic COVID-19 currently reached 213 countries worldwide with nearly 9 million infected people and more than 460,000 deaths. Although several Chinese studies, describing the laboratory findings characteristics of this illness have been reported, European data are still scarce. Furthermore, previous studies often analyzed the averaged laboratory findings collected during the entire hospitalization period, whereas monitoring their time-dependent variations should give more reliable prognostic information.MethodsWe analyzed the time-dependent variations of 14 laboratory parameters in two groups of COVID-19 patients with, respectively, a positive (40 patients) or a poor (42 patients) outcome, admitted to the San Raffaele Hospital (Milan, Italy). We focused mainly on laboratory parameters that are routinely tested, thus, prognostic information would be readily available even in low-resource settings.ResultsStatistically significant differences between the two groups were observed for most of the laboratory findings analyzed. We showed that some parameters can be considered as early prognostic indicators whereas others exhibit statistically significant differences only at a later stage of the disease. Among them, earliest indicators were: platelets, lymphocytes, lactate dehydrogenase, creatinine, alanine aminotransferase, C-reactive protein, white blood cells and neutrophils.ConclusionsThis longitudinal study represents, to the best of our knowledge, the first study describing the laboratory characteristics of Italian COVID-19 patients on a normalized time-scale. The time-dependent prognostic value of the laboratory parameters analyzed in this study can be used by clinicians for the effective treatment of the patients and for the proper management of intensive care beds, which becomes a critical issue during the pandemic peaks.

scholarly journals Retrospect: The Outbreak Evaluation of COVID-19 in Wuhan District of China

Healthcare ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 61
Author(s):  
Yimin Zhou ◽  
Zuguo Chen ◽  
Xiangdong Wu ◽  
Zengwu Tian ◽  
Lingjian Ye ◽  
...  
Keyword(s):  
Large Scale ◽  
Virus Transmission ◽  
World Health ◽  
Chinese Government ◽  
Prevention Measures ◽  
Administrative District ◽  
Seir Model ◽  
Infected People ◽  
Indirect Transmission ◽  
Novel Coronavirus

There were 27 novel coronavirus pneumonia cases found in Wuhan, China in December 2019, named as 2019-nCoV temporarily and COVID-19 formally by the World Health Organization (WHO) on the 11 February 2020. In December 2019 and January 2020, COVID-19 has spread on a large scale among the population, which brought terrible disaster to the life and property of the Chinese people. In this paper, we analyze the features and pattern of the virus transmission. Considering the influence of indirect transmission, a conscious-based Susceptible-Exposed-Infective-Recovered (SEIR) (C-SEIR) model is proposed, and the difference equation is used to establish the model. We simulated the C-SEIR model and key important parameters. The results show that (1) increasing people’s awareness of the virus can effectively reduce the spread of the virus; (2) as the capability and possibility of indirect infection increases, the proportion of people being infected will also increase; (3) the increased cure rate can effectively reduce the number of infected people. Then, the virus transmission can be modelled and used for the inflexion and extinction period of pandemic development so as to provide theoretical support for the Chinese government in the decision-making of pandemic prevention and recovery of economic production. Further, this study has demonstrated the effectiveness of the prevention measures taken by the Chinese government such as multi-level administrative district isolation and public health awareness.

scholarly journals Laboratory predictors of death from coronavirus disease 2019 (COVID-19) in the area of Valcamonica, Italy

2020 ◽  
Vol 58 (7) ◽  
pp. 1100-1105 ◽  
Author(s):  
Graziella Bonetti ◽  
Filippo Manelli ◽  
Andrea Patroni ◽  
Alessandra Bettinardi ◽  
Gianluca Borrelli ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Clinical Decision Making ◽  
Troponin I ◽  
Laboratory Data ◽  
High Sensitivity ◽  
Clinical Decision ◽  
International Normalized Ratio ◽  
Serum Glucose ◽  
Hospital Death ◽  
Laboratory Findings

AbstractBackgroundComprehensive information has been published on laboratory tests which may predict worse outcome in Asian populations with coronavirus disease 2019 (COVID-19). The aim of this study is to describe laboratory findings in a group of Italian COVID-19 patients in the area of Valcamonica, and correlate abnormalities with disease severity.MethodsThe final study population consisted of 144 patients diagnosed with COVID-19 (70 who died during hospital stay and 74 who survived and could be discharged) between March 1 and 30, 2020, in Valcamonica Hospital. Demographical, clinical and laboratory data were collected upon hospital admission and were then correlated with outcome (i.e. in-hospital death vs. discharge).ResultsCompared to patients who could be finally discharged, those who died during hospital stay displayed significantly higher values of serum glucose, aspartate aminotransferase (AST), creatine kinase (CK), lactate dehydrogenase (LDH), urea, creatinine, high-sensitivity cardiac troponin I (hscTnI), prothrombin time/international normalized ratio (PT/INR), activated partial thromboplastin time (APTT), D-dimer, C reactive protein (CRP), ferritin and leukocytes (especially neutrophils), whilst values of albumin, hemoglobin and lymphocytes were significantly decreased. In multiple regression analysis, LDH, CRP, neutrophils, lymphocytes, albumin, APTT and age remained significant predictors of in-hospital death. A regression model incorporating these variables explained 80% of overall variance of in-hospital death.ConclusionsThe most important laboratory abnormalities described here in a subset of European COVID-19 patients residing in Valcamonica are highly predictive of in-hospital death and may be useful for guiding risk assessment and clinical decision-making.

scholarly journals Desquamation in Kawasaki Disease

Children ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. 317
Author(s):  
Ling-Sai Chang ◽  
Ken-Pen Weng ◽  
Jia-Huei Yan ◽  
Wan-Shan Lo ◽  
Mindy Ming-Huey Guo ◽  
...  
Keyword(s):  
Coronary Artery ◽  
Kawasaki Disease ◽  
Laboratory Data ◽  
Ivig Treatment ◽  
Low Grade ◽  
High Grade ◽  
Laboratory Findings ◽  
Coronary Artery Abnormalities ◽  
Cell Counts ◽  
Hands And Feet

(1) Background: Desquamation is a common characteristic of Kawasaki disease (KD). In this study, we analyzed patients’ varying desquamation levels in their hands or feet, in correlation with clinical presentation, to assess the relationship. (2) Methods: We retrospectively reviewed children with KD. We analyzed their age, laboratory data before intravenous immunoglobulin (IVIG) treatment and coronary artery abnormalities (CAA) based on the desquamation level of their hands and feet. We classified the desquamation level from 0 to 3 and defined high-grade desquamation as grade 2 and 3. (3) Results: We enrolled a total 112 patients in the study. We found the hands’ high-grade desquamation was positively associated with age and segmented neutrophil percentage (p = 0.047 and 0.029, respectively) but negatively associated with lymphocyte and monocyte percentage (p = 0.03 and 0.006, respectively). Meanwhile, the feet’s high-grade desquamation was positively associated with total white blood cell counts (p = 0.033). Furthermore, we found that high-grade hand desquamation had less probability of CAA formation compared with that of a low grade (7.1% vs. 40.8%, p = 0.016). (4) Conclusions: This report is the first to demonstrate that the desquamation level of hands or feet in KD is associated with different coronary artery abnormalities and laboratory findings.

scholarly journals On the optimal control of coronavirus (2019-nCov) mathematical model; a numerical approach

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
N. H. Sweilam ◽  
S. M. Al-Mekhlafi ◽  
A. O. Albalawi ◽  
D. Baleanu
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Weighted Average ◽  
Necessary Optimality Conditions ◽  
Numerical Approach ◽  
Population Number ◽  
Infected People ◽  
The Stability ◽  
Novel Coronavirus ◽  
Theoretical Results

Abstract In this paper, a novel coronavirus (2019-nCov) mathematical model with modified parameters is presented. This model consists of six nonlinear fractional order differential equations. Optimal control of the suggested model is the main objective of this work. Two control variables are presented in this model to minimize the population number of infected and asymptotically infected people. Necessary optimality conditions are derived. The Grünwald–Letnikov nonstandard weighted average finite difference method is constructed for simulating the proposed optimal control system. The stability of the proposed method is proved. In order to validate the theoretical results, numerical simulations and comparative studies are given.

scholarly journals SARS-CoV-2/DENV co-infection: a series of cases from the Federal District, Midwestern Brazil

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Heidi Luise Schulte ◽  
José Diego Brito-Sousa ◽  
Marcus Vinicius Guimarães Lacerda ◽  
Luciana Ansaneli Naves ◽  
Eliana Teles de Gois ◽  
...  
Keyword(s):  
Clinical Signs ◽  
Federal District ◽  
Therapeutic Interventions ◽  
Diagnostic Process ◽  
The Novel ◽  
Prevention Measures ◽  
Laboratory Findings ◽  
Novel Coronavirus ◽  
The Impact

Abstract Background Since the novel coronavirus disease outbreak, over 179.7 million people have been infected by SARS-CoV-2 worldwide, including the population living in dengue-endemic regions, particularly Latin America and Southeast Asia, raising concern about the impact of possible co-infections. Methods Thirteen SARS-CoV-2/DENV co-infection cases reported in Midwestern Brazil between April and September of 2020 are described. Information was gathered from hospital medical records regarding the most relevant clinical and laboratory findings, diagnostic process, therapeutic interventions, together with clinician-assessed outcomes and follow-up. Results Of the 13 cases, seven patients presented Acute Undifferentiated Febrile Syndrome and six had pre-existing co-morbidities, such as diabetes, hypertension and hypopituitarism. Two patients were pregnant. The most common symptoms and clinical signs reported at first evaluation were myalgia, fever and dyspnea. In six cases, the initial diagnosis was dengue fever, which delayed the diagnosis of concomitant infections. The most frequently applied therapeutic interventions were antibiotics and analgesics. In total, four patients were hospitalized. None of them were transferred to the intensive care unit or died. Clinical improvement was verified in all patients after a maximum of 21 days. Conclusions The cases reported here highlight the challenges in differential diagnosis and the importance of considering concomitant infections, especially to improve clinical management and possible prevention measures. Failure to consider a SARS-CoV-2/DENV co-infection may impact both individual and community levels, especially in endemic areas.

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