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 Clinical Characteristics on Admission Predict In-Hospital Fatal Outcome in Patients Aged ≥75 Years with novel coronavirus disease (COVID-19): A Retrospective Cohort Study

2020 ◽  
Author(s):  
Zhihua Yu ◽  
Yuhe Ke ◽  
Jiang Xie ◽  
Hao Yu ◽  
Wei Zhu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Temperature ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Fatal Outcome ◽  
High Sensitivity ◽  
Lactic Dehydrogenase ◽  
Hospital Death ◽  
Laboratory Findings ◽  
Novel Coronavirus

Abstract Background：Novel coronavirus disease（COVID-19）has become a worldwide pandemic and precise fatality data by age group are needed urgently. This study to delineate the clinical characteristics and outcome of COVID-19 patients aged ≥75 years and identify the risk factors of in-hospital death.Methods：A total of 141 consecutive patients aged ≥75 years who were admitted to the hospital between 12th and 19th February 2020. In-hospital death, clinical characteristics and laboratory findings on admission were obtained from medical records. The final follow-up observation was 31st March 2020.Results：The median age was 81 years (84 female, 59.6%). Thirty-eight (27%) patients were classified as severe or critical cases. 18 (12.8%) patients had died in hospital and the remaining 123 were discharged. Patients who died were more likely to present with fever (38.9% vs. 7.3%); low percutaneous oxygen saturation(SpO2) (55.6% vs. 7.3%); reduced lymphocytes (72.2% vs. 35.8%) and platelets (27.8% vs. 4.1%); and increased D-dimer (94.4% vs. 42.3%), creatinine (50.0% vs. 22.0%), lactic dehydrogenase (LDH) (77.8% vs. 30.1%), high sensitivity troponin I (hs-TnI) (72.2% vs. 14.6%), and N-terminal pro-brain natriuretic peptide (NT-proBNP) (72.2% vs. 6.5%; all P<0.05) than patients who recovered. Male sex (odds ratio [OR]=13.1, 95% confidence interval[CI] 1.1 to 160.1, P=0.044), body temperature >37.3°C (OR=80.5, 95% CI 4.6 to 1407.6, P=0.003), SpO2≤90% (OR=70.1, 95% CI 4.6 to 1060.4, P=0.002), and NT-proBNP>1800ng/L (OR=273.5, 95% CI 14.7 to 5104.8, P<0.0001) were independent risk factors of in-hospital death. Conclusions：In-hospital fatality among COVID-19 patients can be estimated by sex and on-admission measurements of body temperature, SpO2, and NT-proBNP.

scholarly journals Clinical Characteristics on Admission Predict In-Hospital Fatal Outcome in Patients Aged ≥75 Years with novel coronavirus disease (COVID-19) :A Retrospective Cohort Study

2020 ◽  
Author(s):  
Zhihua Yu ◽  
Yuhe Ke ◽  
Jiang Xie ◽  
Hao Yu ◽  
Wei Zhu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Temperature ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Fatal Outcome ◽  
High Sensitivity ◽  
Lactic Dehydrogenase ◽  
Hospital Death ◽  
Laboratory Findings ◽  
Novel Coronavirus

Abstract Background：Novel coronavirus disease（COVID-19）has become a worldwide pandemic and precise fatality data by age group are needed urgently. This study to delineate the clinical characteristics and outcome of COVID-19 patients aged ≥75 years and identify the risk factors of in-hospital death.Methods：A total of 141 consecutive patients aged ≥75 years who were admitted to the hospital between 12th and 19th February 2020. In-hospital death, clinical characteristics and laboratory findings on admission were obtained from medical records. The final follow-up observation was 31st March 2020.Results：The median age was 81 years (84 female, 59.6%). Thirty-eight (27%) patients were classified as severe or critical cases. 18 (12.8%) patients had died in hospital and the remaining 123 were discharged. Patients who died were more likely to present with fever (38.9% vs. 7.3%); low percutaneous oxygen saturation(SpO2) (55.6% vs. 7.3%); reduced lymphocytes (72.2% vs. 35.8%) and platelets (27.8% vs. 4.1%); and increased D-dimer (94.4% vs. 42.3%), creatinine (50.0% vs. 22.0%), lactic dehydrogenase (LDH) (77.8% vs. 30.1%), high sensitivity troponin I (hs-TnI) (72.2% vs. 14.6%), and N-terminal pro-brain natriuretic peptide (NT-proBNP) (72.2% vs. 6.5%; all P<0.05) than patients who recovered. Male sex (odds ratio [OR]=13.1, 95% confidence interval[CI] 1.1 to 160.1, P=0.044), body temperature >37.3°C (OR=80.5, 95% CI 4.6 to 1407.6, P=0.003), SpO2≤90% (OR=70.1, 95% CI 4.6 to 1060.4, P=0.002), and NT-proBNP>1800ng/L (OR=273.5, 95% CI 14.7 to 5104.8, P<0.0001) were independent risk factors of in-hospital death. Conclusions：In-hospital fatality among COVID-19 patients can be estimated by sex and on-admission measurements of body temperature, SpO2, and NT-proBNP.

scholarly journals Clinical characteristics on admission predict in-hospital fatal outcome in patients aged ≥75 years with novel coronavirus disease (COVID-19): a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhihua Yu ◽  
Yuhe Ke ◽  
Jiang Xie ◽  
Hao Yu ◽  
Wei Zhu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Temperature ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Fatal Outcome ◽  
High Sensitivity ◽  
Lactic Dehydrogenase ◽  
Hospital Death ◽  
Laboratory Findings ◽  
Novel Coronavirus

Abstract Background Novel coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and precise fatality data by age group is needed urgently. This study to delineate the clinical characteristics and outcome of COVID-19 patients aged ≥75 years and identify the risk factors of in-hospital death. Methods A total of 141 consecutive patients aged ≥75 years who were admitted to the hospital between 12th and 19th February 2020. In-hospital death, clinical characteristics and laboratory findings on admission were obtained from medical records. The final follow-up observation was on the 31st March 2020. Results The median age was 81 years (84 female, 59.6%). Thirty-eight (27%) patients were classified as severe or critical cases. 18 (12.8%) patients had died in hospital and the remaining 123 were discharged. Patients who died were more likely to present with fever (38.9% vs. 7.3%); low percutaneous oxygen saturation (SpO2) (55.6% vs. 7.3%); reduced lymphocytes (72.2% vs. 35.8%) and platelets (27.8% vs. 4.1%); and increased D-dimer (94.4% vs. 42.3%), creatinine (50.0% vs. 22.0%), lactic dehydrogenase (LDH) (77.8% vs. 30.1%), high sensitivity troponin I (hs-TnI) (72.2% vs. 14.6%), and N-terminal pro-brain natriuretic peptide (NT-proBNP) (72.2% vs. 6.5%; all P < 0.05) than patients who recovered. Male sex (odds ratio [OR] = 13.1, 95% confidence interval [CI] 1.1 to 160.1, P = 0.044), body temperature > 37.3 °C (OR = 80.5, 95% CI 4.6 to 1407.6, P = 0.003), SpO2 ≤ 90% (OR = 70.1, 95% CI 4.6 to 1060.4, P = 0.002), and NT-proBNP> 1800 ng/L (OR = 273.5, 95% CI 14.7 to 5104.8, P < 0.0001) were independent risk factors of in-hospital death. Conclusions In-hospital fatality among elderly COVID-19 patients can be estimated by sex and on-admission measurements of body temperature, SpO2, and NT-proBNP.

scholarly journals Clinical Characteristics on Admission Predict In-Hospital Fatal Outcome in Patients Aged ≥75 Years with novel coronavirus disease (COVID-19) :A Retrospective Cohort Study

2020 ◽  
Author(s):  
Zhihua Yu ◽  
Yuhe Ke ◽  
Jiang Xie ◽  
Hao Yu ◽  
Wei Zhu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Temperature ◽  
Clinical Characteristics ◽  
Troponin I ◽  
Fatal Outcome ◽  
High Sensitivity ◽  
Lactic Dehydrogenase ◽  
Hospital Death ◽  
Laboratory Findings ◽  
Novel Coronavirus

Abstract Background ： Novel coronavirus disease（COVID-19）has become a worldwide pandemic and precise fatality data by age group are needed urgently. This study to delineate the clinical characteristics and outcome of COVID-19 patients aged ≥75 years and identify the risk factors of in-hospital death. Methods ： A total of 141 consecutive patients aged ≥75 years who were admitted to the hospital between 12 th and 19 th February 2020. In-hospital death, clinical characteristics and laboratory findings on admission were obtained from medical records. The final follow-up observation was 31 st March 2020. Results ： The median age was 81 years (84 female, 59.6%). Thirty-eight (27%) patients were classified as severe or critical cases. 18 (12.8%) patients had died in hospital and the remaining 123 were discharged. Patients who died were more likely to present with fever (38.9% vs. 7.3%); low percutaneous oxygen saturation(SpO 2 ) (55.6% vs. 7.3%); reduced lymphocytes (72.2% vs. 35.8%) and platelets (27.8% vs. 4.1%); and increased D-dimer (94.4% vs. 42.3%), creatinine (50.0% vs. 22.0%), lactic dehydrogenase (LDH) (77.8% vs. 30.1%), high sensitivity troponin I (hs-TnI) (72.2% vs. 14.6%), and N-terminal pro-brain natriuretic peptide (NT-proBNP) (72.2% vs. 6.5%; all P<0.05) than patients who recovered. Male sex (odds ratio [OR]=13.1, 95% confidence interval[CI] 1.1 to 160.1, P=0.044), body temperature >37.3°C (OR=80.5, 95% CI 4.6 to 1407.6, P=0.003), SpO 2 ≤90% (OR=70.1, 95% CI 4.6 to 1060.4, P=0.002), and NT-proBNP>1800ng/L (OR=273.5, 95% CI 14.7 to 5104.8, P<0.0001) were independent risk factors of in-hospital death. Conclusions： In-hospital fatality among COVID-19 patients can be estimated by sex and on-admission measurements of body temperature, SpO 2 , and NT-proBNP. Key words ： Coronavirus disease; SARS-CoV-2; elderly; death; prediction

scholarly journals Single-copy detection of somatic variants from solid and liquid biopsy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ana-Luisa Silva ◽  
Paulina Klaudyna Powalowska ◽  
Magdalena Stolarek ◽  
Eleanor Ruth Gray ◽  
Rebecca Natalie Palmer ◽  
...  
Keyword(s):  
Real Time ◽  
Single Molecule ◽  
Real Time Pcr ◽  
Clinical Decision Making ◽  
High Sensitivity ◽  
Clinical Decision ◽  
Single Copy ◽  
Turnaround Time ◽  
Copy Detection ◽  
Allele Specific

AbstractAccurate detection of somatic variants, against a background of wild-type molecules, is essential for clinical decision making in oncology. Existing approaches, such as allele-specific real-time PCR, are typically limited to a single target gene and lack sensitivity. Alternatively, next-generation sequencing methods suffer from slow turnaround time, high costs, and are complex to implement, typically limiting them to single-site use. Here, we report a method, which we term Allele-Specific PYrophosphorolysis Reaction (ASPYRE), for high sensitivity detection of panels of somatic variants. ASPYRE has a simple workflow and is compatible with standard molecular biology reagents and real-time PCR instruments. We show that ASPYRE has single molecule sensitivity and is tolerant of DNA extracted from plasma and formalin fixed paraffin embedded (FFPE) samples. We also demonstrate two multiplex panels, including one for detection of 47 EGFR variants. ASPYRE presents an effective and accessible method that simplifies highly sensitive and multiplexed detection of somatic variants.

Quality specifications: self pleasure for clinical laboratories or added value for patient management?

2007 ◽  
Vol 45 (4) ◽  
Author(s):  
Mario Plebani
Keyword(s):  
Decision Making ◽  
Patient Management ◽  
Clinical Decision Making ◽  
Laboratory Data ◽  
Clinical Decision ◽  
Added Value ◽  
Internal Quality ◽  
Laboratory Services ◽  
Management Procedures ◽  
Quality Specifications

AbstractAnalytical quality specifications play a key role in assuring and continuously improving high-quality laboratory services. However, I believe, that there are two “missing links” in the effective management of quality specifications in the delivery of laboratory services. The first is the evidence that pre-analytical variation and related problems are not taken into great consideration by laboratory professionals. The second missing link is the communication of quality specifications to clinicians and other possible stakeholders. If quality specifications represent “the level of performance required to facilitate clinical decision-making”, they cannot be used only for internal quality management procedures but must be communicated to facilitate clinical reasoning, decision-making and patient management. A consensus should be achieved in the scientific community on these issues to assure better utilization of laboratory data and, ultimately, improved clinical outcomes.Clin Chem Lab Med 2007;45:462–6.

Visual and quantitative assessment of COVID-19 pneumonia on chest CT: The relationship with disease severity and clinical findings

2021 ◽  
Vol 17 ◽  
Author(s):  
Furkan Kaya ◽  
Petek Şarlak Konya ◽  
Emin Demirel ◽  
Neşe Demirtürk ◽  
Semiha Orhan ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Disease Severity ◽  
Pearson Correlation ◽  
Laboratory Data ◽  
Length Of Hospital Stay ◽  
Chest Ct ◽  
Laboratory Findings ◽  
Pneumonia Severity ◽  
High Attenuation ◽  
The Relationship

Background: Lungs are the primary organ of involvement of COVID-19, and the severity of pneumonia in COVID-19 patients is an important cause of morbidity and mortality. Aim: We aimed to evaluate the visual and quantitative pneumonia severity on chest computed tomography (CT) in patients with coronavirus disease 2019 (COVID-19) and compare the CT findings with clinical and laboratory findings. Methods: We retrospectively evaluated adult COVID-19 patients who underwent chest CT, clinical scores, laboratory findings, and length of hospital stay. Two independent radiologists visually evaluated the pneumonia severity on chest CT (VSQS). Quantitative CT (QCT) assessment was performed using a free DICOM viewer, and the percentage of the well-aerated lung (%WAL), high-attenuation areas (%HAA) at different threshold values, and mean lung attenuation (MLA) values were calculated. The relationship between CT scores and the clinical, laboratory data, and length of hospital stay were evaluated in this cross-sectional study. The student's t-test and chi-square test were used to analyze the differences between variables. The Pearson correlation test analyzed the correlation between variables. The diagnostic performance of the variables was assessed using receiver operating characteristic (ROC) analysis was used. Results: The VSQS and QCT scores were significantly correlated with procalcitonin, d-dimer, ferritin, and C-reactive protein levels. Both VSQ and QCT scores were significantly correlated with disease severity (p<0.001). Among the QCT parameters, the %HAA-600 value showed the best correlation with the VSQS (r=730,p<0.001). VSQS and QCT scores had high sensitivity and specificity in distinguishing disease severity and predicting prolonged hospitalization. Conclusion: The VSQS and QCT scores can help manage the COVID-19 and predict the duration of hospitalization.

scholarly journals LUNG ULTRASOUND DURING COVID-19 PANDEMICS: WHY, HOW AND WHEN?

2021 ◽  
Vol 74 (8) ◽  
pp. 1783-1788
Author(s):  
Khrystyna O. Pronyuk ◽  
Liudmyla O. Kondratiuk ◽  
Andrii D. Vysotskyi ◽  
Olga A. Golubovska ◽  
Iryna M. Nikitina
Keyword(s):  
Hospital Stay ◽  
Clinical Decision Making ◽  
Lung Ultrasound ◽  
Limited Resource ◽  
Clinical Decision ◽  
Lung Damage ◽  
Dynamic Monitoring ◽  
Initial Assessment ◽  
X Ray ◽  
Chest X Ray

The aim: To optimize diagnostic of pathological processes in lungs affected by COVID-19, dynamic monitoring and clinical decision making using lung ultrasound in limited resources settings. Materials and methods: Between the onset of pandemics and January 2021, approximately 9000 patients have been treated for confirmed COVID-19 in the Olexandrivska Clinical Hospital. Assessment of all hospitalized patients included hematology, chemistries and proinflammatory cytokines – IL-6, CRP, procalcitonin, ferritin. Diagnosis was confirmed by PCR for SARS-CoV-2 RNA. Chest X-ray was performed in all hospitalized cases, while CT was available approximately in 30% of cases during hospital stay. Lung ultrasound was proactively utilized to assess the type and extent of lung damage and to monitor the progress of disease in patients hospitalized into the ICU and Infection Unit (n=135). Ultrasound findings were recorded numerically based on scales. Results: In the setting of СOVID-19, bedside lung ultrasound has been promptly recognized as a tool to diagnose and monitor the nature and extent of lung injury. Lung ultrasound is a real time assessment, which helps determine the nature of a pathologic process affecting lungs. In this paper the accuracy of bedside LUS, chest X-ray and computer tomography are compared based on clinical cases, typical for COVID-19 lung ultrasound appearance is evaluated. Described in article data is collected in one of the biggest facility that deals with COVID-19. Chest X-ray was performed in all hospitalized cases, while CT was available approximately in 30% of cases during hospital stay. The cases presented in the paper indicate potential advantages to the use of ultrasound in limited resource healthcare settings, especially when the risk of transportation to CT outweighs the value of information obtained. Conclusions: Grading of ultrasonographic findings in the lungs was sufficient for both initial assessment with identification of high risk patients, and routine daily monitoring. Hence, lung ultrsound may be used to predict deterioration, stratify risks and make clinical decisions.

scholarly journals Liver Biomarkers Assay in COVID-19 Cases: A Comparison Study between Alive and Dead Patients

2022 ◽  
Author(s):  
Amir Emami ◽  
Fatemeh Javanmardi ◽  
Ali Akbari ◽  
Babak Shirazi Yeganeh ◽  
Tahereh Rezaei ◽  
...  
Keyword(s):  
Serum Albumin Level ◽  
Critical Role ◽  
High Sensitivity ◽  
Cross Sectional Study ◽  
Albumin Level ◽  
Hospital Death ◽  
Comparison Study ◽  
Sectional Study ◽  
Laboratory Findings ◽  
Cross Sectional

Background: Identifying effective biomarkers plays a critical role on screening; rapid diagnosis; proper managements and therapeutic options, which is helpful in preventing serious complications. The present study aimed to compare the liver laboratory tests between alive and dead hospitalized cases for prediction and proper management of the patients. Methods: This retrospective, cross sectional study consists of all deceased patients admitted in one center in Shiraz, Iran during 19 Feb 2020 to 22 Aug 2021. For further comparison, we selected a 1:2 ratios alive group randomly. Results: Overall, 875 hospitalized cases died due to COVID-19. We selected 1750 alive group randomly. The median age was significantly higher in died group (65.96 vs 51.20). Regarding the laboratory findings during the hospitalization ALT, AST, Bili.D were significantly higher in non-survivors than survivors but Albumin was less in deceased patients. It was revealed elevated levels of Albumin, AST, Bili.T and Bili.D were associated with increasing the risk of in hospital death. Moreover, the predictive effect of ALP and Bili.D had significantly more than others with high sensitivity and specify. Conclusion: We found patients with COVID-19 have reduced serum albumin level, and increase ALT and AST. The current results revealed abnormal liver chemistries is associated with poor outcome, which highlighted the importance of monitoring these patients more carefully and should be given more caution.

scholarly journals A novel severity score to predict inpatient mortality in COVID-19 patients

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
David J. Altschul ◽  
Santiago R. Unda ◽  
Joshua Benton ◽  
Rafael de la Garza Ramos ◽  
Phillip Cezayirli ◽  
...  
Keyword(s):  
Severity Score ◽  
Clinical Decision Making ◽  
Risk Model ◽  
Validation Cohort ◽  
Clinical Decision ◽  
International Normalized Ratio ◽  
Severe Illness ◽  
Roc Curve Analysis ◽  
Derivation Cohort ◽  
Mortality Incidence

Abstract COVID-19 is commonly mild and self-limiting, but in a considerable portion of patients the disease is severe and fatal. Determining which patients are at high risk of severe illness or mortality is essential for appropriate clinical decision making. We propose a novel severity score specifically for COVID-19 to help predict disease severity and mortality. 4711 patients with confirmed SARS-CoV-2 infection were included. We derived a risk model using the first half of the cohort (n = 2355 patients) by logistic regression and bootstrapping methods. The discriminative power of the risk model was assessed by calculating the area under the receiver operating characteristic curves (AUC). The severity score was validated in a second half of 2356 patients. Mortality incidence was 26.4% in the derivation cohort and 22.4% in the validation cohort. A COVID-19 severity score ranging from 0 to 10, consisting of age, oxygen saturation, mean arterial pressure, blood urea nitrogen, C-Reactive protein, and the international normalized ratio was developed. A ROC curve analysis was performed in the derivation cohort achieved an AUC of 0.824 (95% CI 0.814–0.851) and an AUC of 0.798 (95% CI 0.789–0.818) in the validation cohort. Furthermore, based on the risk categorization the probability of mortality was 11.8%, 39% and 78% for patient with low (0–3), moderate (4–6) and high (7–10) COVID-19 severity score. This developed and validated novel COVID-19 severity score will aid physicians in predicting mortality during surge periods.

Sign in / Sign up

Export Citation Format

Share Document