Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Postpartum hemorrhage (PPH) can rapidly cause hypofibrinogenemia, requiring prompt coagulation factor replacement. Point-of-care testing (POCT) is gaining interest for early diagnosis for hypofibrinogenemia, despite limited evidence. This systematic review evaluated the diagnostic accuracy of POCT for hypofibrinogenemia in PPH.

Materials And Methods: A literature search was conducted using MEDLINE, Embase, Cochrane, and Web of Science. Studies using POCT for PPH diagnosis, both observational and interventional, were included. Risk of bias was assessed using the QUADAS-2 tool. A meta-analysis was performed using the Reitsma bivariate random-effects model for three POCT types: dry hematology, thromboelastography, and thromboelastometry. The diagnostic accuracy was evaluated using a summary Receiver Operating Characteristic (ROC) curve and area under the curve (AUC).

Results: Nine articles, including 16 studies with a total of 2902 patients, were analyzed. The dry hematology group had only two studies, preventing data pooling. Thromboelastography (4 articles, including 10 studies with 1386 patients) showed a sensitivity of 0.80 (95 % CI: 0.75-0.84), specificity of 0.90 (0.85-0.93), and AUC of 0.81 (0.77-0.85). Thromboelastometry (4 articles, including 4 studies with 1394 patients) showed a sensitivity of 0.89 (0.74-0.96), specificity of 0.84 (0.63-0.94), and AUC of 0.93 (0.83-0.95).

Conclusions: Thromboelastography and thromboelastometry demonstrated high diagnostic accuracy for hypofibrinogenemia in PPH. However, evidence for dry hematology was insufficient. POCT may enable rapid and accurate diagnosis of hypofibrinogenemia in PPH.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.thromres.2025.109339DOI Listing

Publication Analysis

Top Keywords

diagnostic accuracy
12
dry hematology
12
articles including
12
including studies
12
point-of-care testing
8
postpartum hemorrhage
8
systematic review
8
diagnosis hypofibrinogenemia
8
thromboelastography thromboelastometry
8
patients sensitivity
8

Similar Publications

RF phase modulation improves quantitative transient state sequences under constrained conditions.

MAGMA

September 2025

Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3585CX, Utrecht, The Netherlands.

Objective: Within gradient-spoiled transient-state MR sequences like Magnetic Resonance Fingerprinting or Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT), it is examined whether an optimized RF phase modulation can help to improve the precision of the resulting relaxometry maps.

Methods: Using a Cramer-Rao based method called BLAKJac, optimized sequences of RF pulses have been generated for two scenarios (amplitude-only modulation and amplitude + phase modulation) and for several conditions. These sequences have been tested on a phantom, a healthy human brain and a healthy human leg, to reconstruct parametric maps ( and ) as well as their standard deviations.

View Article and Find Full Text PDF

Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.

View Article and Find Full Text PDF

Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.

Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.

View Article and Find Full Text PDF

Introduction: Breathlessness is a common cause of hospital admission globally and is associated with high mortality, particularly in low-income countries. In sub-Saharan Africa, there is a paucity of data on breathlessness, with existing data focused on individual diseases. There is a need for patient-centred approaches to understand interactions between multiple conditions to address population needs and inform health system responses.

View Article and Find Full Text PDF