Results 41 to 50 of about 967,199 (155)

MicroRNA‐210 level as a biomarker for pre‐eclampsia severity: A systematic review and meta‐analysis

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Background Pre‐eclampsia is a serious pregnancy‐related syndrome lacking accurate prognostic markers. MicroRNA‐210, overexpressed in the circulation of women with pre‐eclampsia, has recently emerged as a promising biomarker. Objectives We conducted a systematic review and meta‐analysis to evaluate the relationship between miR‐210 levels and ...
Dávid Márai, Isabel Pinto Amorim das Virgens, Ádám Vincze, Mahmoud Obeidat, Péter Hegyi, Mikolt Bakony, Zsófia Réka Erdélyi, Zsolt Melczer, Sándor Valent   +8 more
wiley   +1 more source

Dependence of TIMP-1 plasma levels on preanalytical specimen handling [PDF]

, 2008
Background: Tissue inhibitor of metalloproteinases-1 (TIMP-1) in blood might be a helpful biomarker in various diseases. However, various authors report that TIMP-1 is dependent on preanalytical procedures.
Doss, Robert, Dorothea Nagel, Barry Dowell, Stieber, Petra, Marie Dresse, Dowell, Barry, Dresse, Marie, Robert Doss, Davis, Gerard, Ganser, Eva-Maria, Gerard Davis, Eva-Maria Ganser, Nagel, Dorothea, Petra Stieber   +13 more
core   +1 more source

The Contribution of Education to the Correction of Preanalytical Errors in Laboratory Testing: A Systematic Review [PDF]

Introduction: laboratory medicine generates clinical information by analyzing various analytes in body fluids. This process requires trained personnel capable of developing strategies to prevent errors that could compromise patient safety. Recent studies
Azocar González, Claudia, Azocar González , Ignacio, Ramírez-Pereira , Mirliana, González González , María Loreto, Sepúlveda Maturana, Francisca   +4 more
core   +1 more source

Evaluation of quality indicators in the hematology laboratory of Al-Azhar University Hospitals (Assiut Branch): a cross-sectional study

Al-Azhar Assiut Medical Journal
Background and aim Laboratory errors can compromise patient safety. Quality indicators (QIs) are essential tools for monitoring and improving laboratory performance, particularly in the error-prone preanalytical phase. We aimed to evaluate QIs across the
Safa A. Muhammad, Moustafa M. Amer, Hossam E.A. Elashmawy   +2 more
doaj   +1 more source

Establishment and Application of a Quantitative Lipemia Index as a Novel Indicator for Assessing Lipemic Interference in Clinical Chemistry

Journal of Clinical Laboratory Analysis, EarlyView.
A rigorously validated quantitative lipemia index (LI) assay was established for direct serum turbidity measurement. This standardized LI metric demonstrated significantly stronger correlation with lipemic interference (rs = 0.822) than conventional triglyceride concentration (rs = 0.770), consistent with its direct measurement of optical turbidity ...
Haifeng Xie, Shuhua Bao, Pengcheng Tong, Peng Li, Zhe Shen, Jinlong Wei   +5 more
wiley   +1 more source

Preanalytical quality improvement : in quality we trust [PDF]

, 2011
Total quality in laboratory medicine should be defined as the guarantee that each activity throughout the total testing process is correctly performed, providing valuable medical decision-making and effective patient care.
Bowen, Raffick A, Behulova, Darina, Church, Stephen, Palicka V, Palicka, Vladimir, Simundic AM, Kitchen, Steve, Behúlová D, Plebani M, Lippi, Giuseppe, Grankvist, Kjell,, Nybo, Mads, Nybo M, Becan-McBride, Kathleen, Grankvist K, Becan McBride K, Nauck M, Nikolac, Nora, Sandberg, Sverre, Delanghe, Joris, Sandberg S, Kitchen S, Nikolac N, Simundic A.M., Simundic, Ana-Maria, Church S, Plebani, Mario, Bowen RA, Lippi G, Delanghe J, Grankvist, Kjell, Nauck, Matthias, Bowen, Raffick A., Di Somma S, Cervellin G., Gianfranco Cervellin, Giuseppe Lippi, DI SOMMA, Salvatore, Salvatore Di Somma, Mario Plebani   +39 more
core   +1 more source

From prediction to intervention: Causal artificial intelligence as the missing link in precision therapeutics

Precision Medical Sciences, EarlyView.
Predictive multiomics artificial intelligence (AI) identifies risk but does not indicate which intervention will change a patient's outcome; causal AI, anchored in biological mechanism, bridges this gap to enable individualized treatment decisions.
Gedion Mengistu Dejen
wiley   +1 more source

A Quality Improvement Initiative to Reduce Preanalytical Blood Gas Errors [PDF]

Introduction: Laboratory testing is one of the most commonly performed procedures in healthcare and resulting data are paramount to clinical decision making. Background: Preanalytical blood gas laboratory errors often stem from the incorrect recording of
Newbrough, Layla Haver
core   +1 more source

Pre-analytical specimen labelling and processing errors in the ICU

University of Ottawa Journal of Medicine, 2022
Introduction: Specimen rejections have been associated with increased in-hospital stay and cost. The majority of errors occur in the pre-analytic phase. Specimen rejection can lead to high rate of recollection, delay in result availability, and high rate
Long Nguyen, Sherissa Microys
doaj   +1 more source

In Situ Expression of miR‐371a‐3p and miR‐373‐3p in Testicular Germ Cell Tumours and Detection in Serum

Andrology, EarlyView.
ABSTRACT Background Testicular germ cell tumours (TGCTs) are the most common type of tumour diagnosed in young men, and reliable non‐invasive biomarkers are crucial for clinical management. MicroRNAs (miRNAs) from the miR‐371–373 cluster have recently been identified as novel and more sensitive serum biomarkers than the conventional protein‐based ...
Nina Mørup, Merve Tatli, Thomas Wagner, Helle Margit Albrechtsen, Gülizar Saritas, Gedske Daugaard, Sofia B. Winge, Kristian Almstrup   +7 more
wiley   +1 more source