scholarly journals Detection of laboratory biomarkes in haematological and pulmonology patients at high risk for aspergillosis

2012 ◽  
Vol 140 (5-6) ◽  
pp. 290-298
Author(s):  
Eleonora Ratkov ◽  
Ana Vidovic ◽  
Predrag Minic ◽  
Dragana Janic ◽  
Sandra Sipetic-Grujicic ◽  
...  
Keyword(s):  
High Risk ◽  
Early Diagnosis ◽  
Invasive Aspergillosis ◽  
Diagnostic Methods ◽  
Medical Mycology ◽  
Culture Methods ◽  
High Risk Patients ◽  
Risk Patients ◽  
Haematological Patients ◽  
Laboratory Biomarkers

Introduction. During the past decades a dramatic increase in the incidence of invasive fungal diseases, especially invasive aspergillosis has been observed. Undiagnosed and diagnosed late invasive aspergillosis is followed by lethality of up to 90%. Detection of early laboratory biomarkers (galactomannan and anti-Aspergillus antibodies) contributes to early diagnosis and is used for screening, as well as for monitoring therapy of aspergillosis. Objective. The aim was to evaluate usefulness of ?non-culture? methods (galactomannan and anti-Aspergillus antibodies IgA, IgM and IgG) for early diagnosis of aspergillosis in high-risk patients. Methods. Prospective two-year study involved 262 high-risk patients for aspergillosis. In pulmonology and haematology patients (adults and children) blood samples were tested on galactomannan and anti-Aspergillus antibodies. Results. Early laboratory biomarkers were statistically significantly higher in pulmonology patients (p=0.00033). However, in haematological patients galactomannan was a more frequently positive finding, while in pulmonology patients it was the finding of anti-Aspergillus antibodies. It is interesting that, despite the possible immunosuppression, in about 1/3 of haematological patients anti-Aspergillus antibodies were confirmed. Conclusion. Early diagnosis and treatment of aspergillosis represent both clinical and laboratory problem. Nowadays, the application of new ?non-culture? methods is of particular importance for the outcome of aspergillosis. Clinical features, laboratory findings of biomarkers and their correct interpretation significantly increase the possibility of timely implementation of appropriate therapy. In this regard, the new organization of reference laboratory for medical mycology has significantly improved the outcome of aspergillosis in high-risk patients in our country. However, further investigations, implementation of European standards and introduction of new diagnostic methods are necessary in this field.

scholarly journals Neonatal Out Come in High Risk Pregnancy

1970 ◽  
Vol 22 (1) ◽  
pp. 26-29 ◽  
Author(s):  
H Akthar ◽  
S Sultana ◽  
AH Siddique
Keyword(s):  
High Risk ◽  
Early Diagnosis ◽  
Rural Area ◽  
Educational Status ◽  
High Risk Pregnancy ◽  
College Hospital ◽  
High Risk Patients ◽  
Medical College ◽  
Risk Pregnancy ◽  
Risk Patients

A 12 months study was carried out on 226 pregnant high risk patients attending in Rajshahi Medical College Hospital from January 2008 to December 2008. The aim of the study was to identify various type of high risk pregnancies and to determine social and educational status as well as new born conditions of birth. Among the 226 recruited patients 69.5% came from rural area. Among the 69.5% rural high risk patients 63.69% were illiterate. Live born baby in this study was 95.13%. In our study neonatal out come was excellent. Excellent out come was attributed to early diagnosis of high risk pregnancy and suitable intervention both by Obstetrician and Paediatrician. DOI: 10.3329/taj.v22i1.5016 TAJ 2009; 22(1): 26-29

scholarly journals Role of a serum-based biomarker panel in the early diagnosis of lung cancer for a cohort of high-risk patients

Cancer ◽  
2015 ◽  
Vol 121 (S17) ◽  
pp. 3113-3121 ◽  
Author(s):  
Da-Wei Yang ◽  
Yong Zhang ◽  
Qun-Ying Hong ◽  
Jie Hu ◽  
Chun Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
High Risk ◽  
Early Diagnosis ◽  
High Risk Patients ◽  
Biomarker Panel ◽  
Risk Patients ◽  
Diagnosis Of Lung Cancer

scholarly journals A prospective, randomised study on the use of well-fitting masks for prevention of invasive aspergillosis in high-risk patients

2009 ◽  
Vol 20 (9) ◽  
pp. 1560-1564 ◽  
Author(s):  
G. Maschmeyer ◽  
S. Neuburger ◽  
L. Fritz ◽  
A. Böhme ◽  
O. Penack ◽  
...  
Keyword(s):  
High Risk ◽  
Invasive Aspergillosis ◽  
Randomised Study ◽  
High Risk Patients ◽  
Risk Patients ◽  
Prospective Randomised Study

scholarly journals Combined real-time PCR and galactomannan surveillance improves diagnosis of invasive aspergillosis in high risk patients with haematological malignancies

2013 ◽  
Vol 161 (4) ◽  
pp. 517-524 ◽  
Author(s):  
Thomas R. Rogers ◽  
Charles Oliver Morton ◽  
Jan Springer ◽  
Eibhlin Conneally ◽  
Werner Heinz ◽  
...  
Keyword(s):  
High Risk ◽  
Invasive Aspergillosis ◽  
Real Time ◽  
Real Time Pcr ◽  
Haematological Malignancies ◽  
High Risk Patients ◽  
Risk Patients

scholarly journals Performance, Correlation and Kinetic Profile of Circulating Serum Fungal Biomarkers of Invasive Aspergillosis in High-Risk Patients with Hematologic Malignancies

2021 ◽  
Vol 7 (3) ◽  
pp. 211
Author(s):  
Maria Siopi ◽  
Stamatis Karakatsanis ◽  
Christoforos Roumpakis ◽  
Konstantinos Korantanis ◽  
Elina Eldeik ◽  
...  
Keyword(s):  
High Risk ◽  
Invasive Aspergillosis ◽  
Patient Characteristics ◽  
Hematologic Malignancies ◽  
Diagnostic Tools ◽  
Predictive Values ◽  
High Risk Patients ◽  
Risk Patients ◽  
Fungal Biomarkers ◽  
Sensitivity Specificity

As conventional microbiological documentation of invasive aspergillosis (IA) is difficult to obtain, serum fungal biomarkers are important adjunctive diagnostic tools. Positivity rates and the kinetic profiles of galactomannan (GM), 1,3-β-D-glucan (BDG) and Aspergillus DNA (PCR) were studied in high-risk patients with hematologic malignancies. GM, BDG and PCR data from serial serum specimens (n = 240) from 93 adult hematology patients with probable (n = 8), possible (n = 25) and no (n = 60) IA were retrospectively analyzed. Positivity rates and sensitivity/specificity/positive/negative predictive values (NPV) of each fungal biomarker alone and in combination were estimated. The three markers were compared head-to-head and correlated with various biochemical, demographic and patient characteristics. The positivity rates for patients with probable/possible/no IA were 88%/8%/0 % for GM (X2 = 55, p < 0.001), 62%/46%/35% for BDG (X2 = 2.5, p = 0.29), 62%/33%/27% for PCR (X2 = 3.9, p = 0.15), 50%/4%/0% for GM + BDG and GM + PCR (X2 = 31, p < 0.001), 50%/8%/22% for BDG + PCR (X2 = 6.5, p = 0.038) and 38%/4%/0% for GM + BDG + PCR (X2 = 21, p < 0.001). Higher agreement (76%) and negative correlation (rs = -0.47, p = 0.0017) was found between GM index and PCR Ct values. The sensitivity and NPV was 45-55% and 90-92% when biomarkers assessed alone and increased to 75-90% and 93-97%, respectively when combined. Weak significant correlations were found between GM, PCR and BDG results with renal/liver function markers (r = 0.11–0.57) with most GM+ and PCR+ samples found in the first and second week of clinical assessment, respectively and BDG later on. Different positivity rates, time profiles and performances were found for the three biomarkers advocating the combination of GM with PCR for the early diagnosis of IA, whereas the high NPV of combined biomarkerscould help excluding IA.

scholarly journals The COVID-19 lab score: an accurate dynamic tool to predict in-hospital outcomes in COVID-19 patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pablo Jose Antunez Muiños ◽  
Diego López Otero ◽  
Ignacio J. Amat-Santos ◽  
Javier López País ◽  
Alvaro Aparisi ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Multivariate Logistic Regression Model ◽  
P Value ◽  
Clinical Model ◽  
High Risk Patients ◽  
Mechanical Ventilation Support ◽  
Risk Patients ◽  
Laboratory Biomarkers

AbstractDeterioration is sometimes unexpected in SARS-CoV2 infection. The aim of our study is to establish laboratory predictors of mortality in COVID-19 disease which can help to identify high risk patients. All patients admitted to hospital due to Covid-19 disease were included. Laboratory biomarkers that contributed with significant predictive value for predicting mortality to the clinical model were included. Cut-off points were established, and finally a risk score was built. 893 patients were included. Median age was 68.2 ± 15.2 years. 87(9.7%) were admitted to Intensive Care Unit (ICU) and 72(8.1%) needed mechanical ventilation support. 171(19.1%) patients died. A Covid-19 Lab score ranging from 0 to 30 points was calculated on the basis of a multivariate logistic regression model in order to predict mortality with a weighted score that included haemoglobin, erythrocytes, leukocytes, neutrophils, lymphocytes, creatinine, C-reactive protein, interleukin-6, procalcitonin, lactate dehydrogenase (LDH), and D-dimer. Three groups were established. Low mortality risk group under 12 points, 12 to 18 were included as moderate risk, and high risk group were those with 19 or more points. Low risk group as reference, moderate and high patients showed mortality OR 4.75(CI95% 2.60–8.68) and 23.86(CI 95% 13.61–41.84), respectively. C-statistic was 0–85(0.82–0.88) and Hosmer–Lemeshow p-value 0.63. Covid-19 Lab score can very easily predict mortality in patients at any moment during admission secondary to SARS-CoV2 infection. It is a simple and dynamic score, and it can be very easily replicated. It could help physicians to identify high risk patients to foresee clinical deterioration.

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