The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Hyperfibrinolysis After Major Trauma: Differential Diagnosis of Lysis Patterns and Prognostic Value of Thrombelastometry
Abstract
BACKGROUND: The aim of this study was to diagnose hyperfibrinolysis (HF) and its pattern using thrombelastometry and to correlate the diagnosis with mortality. Furthermore, routine laboratory based and the rotational thrombelastometry analyzer (ROTEM)-derived variables were also correlated with survival. METHODS: Severe trauma patients showing HF in ROTEM were consecutively enrolled in the study. Three different HF patterns were compared: fulminant breakdown within 30 minutes, intermediate HF of 30 to 60 minutes, and late HF after 60 minutes. Injury severity score (ISS), hemodynamics, hemoglobin, hematocrit, platelet count (PC), fibrinogen, and ROTEM variables at admission were analyzed. The observed mortality was compared with the predicted trauma and injury severity score mortality. RESULTS: Thirty-three patients were diagnosed with HF. The mean ISS was 47 +/- 14. Fulminant, intermediate, or late HF (n = 11 each group) resulted in 100%, 91%, or 73% mortality, respectively, with the best prognosis for late HF (p = 0.0031). The actual overall mortality of HF (88%) exceeded the predicted trauma and injury severity score mortality (70%) (p = 0.039). Lower PC (123 +/- 53 vs. 193 +/- 91; p = 0.034), ROTEM prolonged clot formation time [CFT, 359 (140/632) vs. 82 (14/190); p = 0.042], and lower platelet contribution to maximum clot firmness [MCF(EXTEM) - MCF(FIBTEM), 34 (20/40) vs. 46 (40/53); p = 0.026] were associated with increased mortality. CONCLUSION: ROTEM-based diagnosis of HF predicted outcome. Further independent predictors of death were combination of HF with hemorrhagic shock, low PC, and prolonged CFT in ROTEM. ROTEM-based point of care testing in the emergency room is thus able to identify prognostic factors such as prolonged CFT and low platelet contribution to clot firmness (MCF(EX) - MCF(FIB)) earlier than standard laboratory-based monitoring.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating trauma care: the TRISS method. Trauma Score and the Injury Severity Score.
Boyd, C. R., Tolson, M. A., & Copes, W. S. (1987) · PubMed · Cited by 1,954
Epidemiology of Trauma Deaths: A Reassessment
Sauaia, A., Moore, F. A., Moore, E. E., Moser, K. S., Brennan, R., Read, R. A., & Pons, P. T. (1995) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/00005373-199502000-00006 · Cited by 1,879
Evaluating Trauma Care: The TRISS Method
BOYD, C. R., TOLSON, M. A., & COPES, W. S. (1987) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/00005373-198704000-00005 · Cited by 1,812
Brohi, K., Singh, J., Heron, M., & Coats, T. (2003) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/01.ta.0000069184.82147.06 · Cited by 1,726
A Comparison of Aprotinin and Lysine Analogues in High-Risk Cardiac Surgery
Fergusson, D. A., Hébert, P. C., Mazer, C. D., Fremes, S., MacAdams, C., Murkin, J. M., Teoh, K., Duke, P. C., Arellano, R., Blajchman, M. A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802395 · Cited by 1,152
Baker, C. C., Oppenheimer, L., Stephens, B., Lewis, F. R., & Trunkey, D. D. (1980) · The American Journal of Surgery · doi:10.1016/0002-9610(80)90431-6 · Cited by 845
Thromboelastography-Guided Transfusion Algorithm Reduces Transfusions in Complex Cardiac Surgery
Shore-Lesserson, L., Manspeizer, H. E., DePerio, M., Francis, S., Vela-Cantos, F., & Ergin, M. A. (1999) · Anesthesia & Analgesia · doi:10.1097/00000539-199902000-00016 · Cited by 845
Early coagulopathy in multiple injury: An analysis from the German Trauma Registry on 8724 patients
Maegele, M., Lefering, R., Yucel, N., Tjardes, T., Rixen, D., Paffrath, T., Simanski, C., Neugebauer, E., & Bouillon, B. (2007) · Injury · doi:10.1016/j.injury.2006.10.003 · Cited by 778
Thrombelastography/thromboelastometry
LUDDINGTON, R. J. (2005) · Clinical and Laboratory Haematology · doi:10.1111/j.1365-2257.2005.00681.x · Cited by 655
Blutgerinnungsstudien mit der Thrombelastographie, einem neuen Untersuchungsverfahren
Hartert, H. (1948) · Klinische Wochenschrift · doi:10.1007/bf01697545 · Cited by 615
Cited by
Johansson, P. I., Stensballe, J., Rasmussen, L. S., & Ostrowski, S. R. (2011) · Annals of Surgery · doi:10.1097/sla.0b013e318226113d · Cited by 554
The incidence and magnitude of fibrinolytic activation in trauma patients
RAZA, I., DAVENPORT, R., ROURKE, C., PLATTON, S., MANSON, J., SPOORS, C., KHAN, S., De'ATH, H. D., ALLARD, S., HART, D. P., et al. (2013) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.12078 · Cited by 481
Schöchl, H., Nienaber, U., Maegele, M., Hochleitner, G., Primavesi, F., Steitz, B., Arndt, C., Hanke, A., Voelckel, W., & Solomon, C. (2011) · Critical Care · doi:10.1186/cc10078 · Cited by 398
Self-citationPathophysiology and Treatment of Coagulopathy in Massive Hemorrhage and Hemodilution
Bolliger, D., Görlinger, K., Tanaka, K. A., & Warner, D. S. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181f22b5a · Cited by 325
Larsen, O. H., Fenger-Eriksen, C., Christiansen, K., Ingerslev, J., & Sørensen, B. (2011) · Anesthesiology · doi:10.1097/aln.0b013e318220755c · Cited by 117
Metadata
- Authors
- Schöchl, H., Frietsch, T., Pavelka, M., & Jámbor, C.
- Venue
- Journal of Trauma: Injury, Infection & Critical Care
- Published
- 2009-07
- Volume
- 67
- Issue
- 1
- Pages
- 125-131
- ISSN
- 0022-5282 (ISSN-L)
- OpenAlex
- W1970362985
- Cited by
- 393
- References
- 22
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hyperfibrinolysis After Major Trauma: Differential Diagnosis of Lysis Patterns and Prognostic Value of Thrombelastometry. https://app.cochat.ai/papers/10.1097/ta.0b013e31818b2483
- The paper
- Schöchl, H., Frietsch, T., Pavelka, M., & Jámbor, C. (2009). Hyperfibrinolysis After Major Trauma: Differential Diagnosis of Lysis Patterns and Prognostic Value of Thrombelastometry. Journal of Trauma: Injury, Infection & Critical Care. https://doi.org/10.1097/ta.0b013e31818b2483
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.