Plasma D-dimer and FDP are promising biomarkers to predict perioperative fibrinolysis and bleeding following primary total joint arthroplasty: A STROBE compliant article

Fibrinolysis as a Causative Mechanism for Bleeding Complications on Extracorporeal Membrane Oxygenation: A Pilot Observational Prospective Study

BACKGROUND

Extracorporeal membrane oxygenation (ECMO) is associated with a high risk of bleeding complications. The specific impact of ECMO on fibrinolysis remains unexplored. The objective of the current pilot observational prospective study was to investigate the longitudinal dynamics of fibrinolytic markers-i.e., changes over time-in the context of bleeding events in patients on ECMO.

METHODS

Longitudinal dynamics of contact phase components (kininogen and bradykinin) and fibrinolysis markers (tissue plasminogen activator [tPA], plasminogen activator inhibitor-1 [PAI-1], their complexes [tPA•PAI-1], plasmin-antiplasmin complexes, plasminogen, and D-dimer) were measured in patients undergoing venovenous and venoarterial ECMO, before implantation, at 0, 6, and 12 h after implantation, and daily thereafter.

RESULTS

The cohort consisted of 30 patients (214 ECMO days). The concentrations of tPA, D-dimer, plasmin-antiplasmin complexes, PAI-1, and tPA•PAI-1 complexes were increased, whereas plasminogen decreased compared to normal values. A noteworthy divergence was observed between hemorrhagic and nonhemorrhagic patients: in bleeding patients, D-dimer, plasmin-antiplasmin, tPA, PAI-1, and tPA•PAI-1 followed an increasing kinetics before hemorrhage and then decreased to their baseline level; conversely, nonbleeding patients showed a decreasing kinetics in these markers. Also, D-dimer and tPA followed an increasing kinetics in bleeding patients compared to nonbleeding patients (median values for D-dimer dynamics: 1,080 vs. -440 ng/ml, P = 0.05; tPA dynamics: 0.130 vs. 0.100 nM, P = 0.038), and both markers significantly increased the day before hemorrhage. A tPA concentration above 0.304 nM was associated with bleeding events (odds ratio, 4.92; 95% CI, 1.01 to 24.08; P = 0.049).

CONCLUSIONS

Contact activation induces fibrinolysis in ECMO patients, especially in patients experiencing bleeding. This finding supports the role of this mechanism as a possible causal factor for hemorrhages during ECMO and open new avenues for novel therapeutic perspectives.

EDITOR’S PERSPECTIVE

Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China

BACKGROUND

Prediction tools for various intraoperative bleeding events remain scarce. We aim to develop machine learning-based models and identify the most important predictors by real-world data from electronic medical records (EMRs).

METHODS

An established database of surgical inpatients in Shanghai was utilized for analysis. A total of 51,173 inpatients were assessed for eligibility. 48,543 inpatients were obtained in the dataset and patients were divided into haemorrhage (N = 9728) and without-haemorrhage (N = 38,815) groups according to their bleeding during the procedure. Candidate predictors were selected from 27 variables, including sex (N = 48,543), age (N = 48,543), BMI (N = 48,543), renal disease (N = 26), heart disease (N = 1309), hypertension (N = 9579), diabetes (N = 4165), coagulopathy (N = 47), and other features. The models were constructed by 7 machine learning algorithms, i.e., light gradient boosting (LGB), extreme gradient boosting (XGB), cathepsin B (CatB), Ada-boosting of decision tree (AdaB), logistic regression (LR), long short-term memory (LSTM), and multilayer perception (MLP). An area under the receiver operating characteristic curve (AUC) was used to evaluate the model performance.

RESULTS

The mean age of the inpatients was 53 ± 17 years, and 57.5% were male. LGB showed the best predictive performance for intraoperative bleeding combining multiple indicators (AUC = 0.933, sensitivity = 0.87, specificity = 0.85, accuracy = 0.87) compared with XGB, CatB, AdaB, LR, MLP and LSTM. The three most important predictors identified by LGB were operative time, D-dimer (DD), and age.

CONCLUSIONS

We proposed LGB as the best Gradient Boosting Decision Tree (GBDT) algorithm for the evaluation of intraoperative bleeding. It is considered a simple and useful tool for predicting intraoperative bleeding in clinical settings. Operative time, DD, and age should receive attention.

Tranexamic acid and blood loss in pancreaticoduodenectomy: TAC-PD randomized clinical trial

BACKGROUND

Tranexamic acid (TXA) may reduce intraoperative blood loss, but it has not been investigated in pancreaticoduodenectomy (PD).

METHODS

A pragmatic, multicentre, randomized, blinded, placebo-controlled trial was conducted. Adult patients undergoing planned PD for biliary, duodenal, or pancreatic diseases were randomly assigned to TXA or placebo groups. Patients in the TXA group were administered 1 g TXA before incision, followed by a maintenance infusion of 125 mg/h TXA. Patients in the placebo group were administered the same volume of saline as those in the placebo group. The primary outcome was blood loss during PD. The secondary outcomes included perioperative blood transfusions, operating time, morbidity, and mortality.

RESULTS

Between September 2019 and May 2021, 218 patients were randomly assigned and underwent surgery (108 in the TXA group and 110 in the placebo group). Mean intraoperative blood loss was 659 ml in the TXA group and 701 ml in the placebo group (mean difference -42 ml, 95 per cent c.i. -191 to 106). Of the 218 patients, 202 received the intervention and underwent PD, and the mean blood loss during PD was 667 ml in the TXA group and 744 ml in the placebo group (mean difference -77 ml, 95 per cent c.i. -226 to 72). The secondary outcomes were comparable between the two groups.

CONCLUSION

Perioperative TXA use did not reduce blood loss during PD.

REGISTRATION NUMBER

jRCTs041190062 (https://jrct.niph.go.jp).

Relationship between plasma fibrinogen degradation products(FDP) and D-dimer levels and disease activity in rheumatoid arthritis: A STROBE compliant article

In this study, we aimed to investigate whether fibrinogen degradation products(FDP)and D-dimer could be used as serological indicators of rheumatoid arthritis(RA) activity, such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and platelets (PLT). A total of 112 consecutive patients with RA between July 2018 and July 2020 were divided into moderate and high disease activity groups (disease activity score 28(DAS28) > 3.2, n = 60) and low disease activity and remission groups (DAS28≤3.2, n = 52). A total of 50 healthy volunteers were included in the control group, and FDP and D-dimer levels were compared across the three groups. The correlations of FDP and D-dimer levels with ESR, CRP, PLT, and DAS28 were analyzed. Analyses of the receiver operating characteristic(ROC) curves and area under the ROC curve (AUC) of FDP, D-dimer, ESR, CRP, and PLT levels were performed. FDP and D-dimer levels were significantly higher in the high-activity compared to the low-activity and remission (P < .001), and the control (P < .001). No significant differences in FDP and D-dimer were observed between the low-activity and remission and the control (P > .05). FDP and D-dimer levels were positively correlated with ESR, CRP, PLT, and DAS28 (all P < .001). The ROC curves showed that the FDP and D-dimer levels could be used to evaluate the RA activity (all P < .001). The AUC of FDP was significantly larger than that of PLT (P = .047). FDP and D-dimer can be used as supplementary serological indicators to assess RA activity, in addition to ESR, CRP, and PLT.

Association between D-dimer levels and long-term mortality in patients with aneurysmal subarachnoid hemorrhage

OBJECTIVE

D-dimer is a marker for hypercoagulability and thrombotic events. The authors sought to investigate whether D-dimer levels predicted long-term mortality in patients with aneurysmal subarachnoid hemorrhage (aSAH).

METHODS

This was a retrospective study of patients with aSAH in West China Hospital, Sichuan University, between December 2013 and June 2019. D-dimer levels were measured within 24 hours after admission and were grouped by quartiles. The primary outcome was long-term mortality. Patient deaths were determined through the Household Registration Administration System in China, with a median of 4.4 years of follow-up.

RESULTS

This study included 2056 patients. Compared with patients with the lowest quartile (0.00-0.97 mg/L) of D-dimer levels, the odds of long-term mortality were significantly higher in all other patients, including those with D-dimer levels between 0.97 mg/L and 1.94 mg/L (adjusted hazard ratio [aHR] 1.85, 95% CI 1.32-2.60), those with D-dimer levels between 1.94 mg/L and 4.18 mg/L (aHR 1.94, 95% CI 1.40-2.70), and those patients with the highest quartile (> 4.18 mg/L) of D-dimer levels (aHR 2.35, 95% CI 1.70-3.24; p < 0.001). Similar results were observed for the endpoints of 1-year mortality and long-term mortality in 1-year survivors.

CONCLUSIONS

Elevated D-dimer levels at admission were associated with short-term and long-term mortality. This biomarker could be considered in future risk nomograms for long-term outcomes and might support future management decisions.

Care willingness and demand of residents under 60 years of age in western China: a cross-sectional study

OBJECTIVES

The objective was to examine care willingness and demand of residents under 60 years of age after retirement.

SETTING

The staged cluster sampling method was used between August and October 2018 in Dujiangyan, Sichuan Province, China.

PARTICIPANTS

2282 participants under 60 years of age were surveyed in 2018 by the staged cluster sampling method in China.

PRIMARY AND SECONDARY OUTCOME MEASURES

The results of care willingness and demand were assessed by multiple comparisons of χ² test and multivariable logistic regression.

RESULTS

The respondents who preferred institution-based care, home-based care and community-based care accounted for 39.5%, 38.3% and 20.2% respectively, whereas only 2.1% preferred home-based self-care. The main reasons for the respondents to choose institution-based care included better medical care (31.9%), better daily care (27.0%), burden reduction for children (26.3%), better accommodation (22.8%), satisfied living environment (21.6%) and low consumption (12.3%). The factors that affected care willingness and demand included age, ethnicity, educational attainment, marital status, occupation and the current type of residence.

CONCLUSIONS

The results revealed the care willingness and demand of residents under 60 years of age after retirement and relevant decision factors. This study provides a certain theoretical and practical significance for the development of the care willingness mode and promotes the cognition of policy-makers and researchers, and also provides the basis for decision-making.