A dynamic online nomogram for predicts delayed postoperative bleeding after colorectal polyp surgery.

This study aims to analyze the risk factors associated with delayed postoperative bleeding (DPPB) following colorectal polyp surgery, develop a dynamic nomogram and evaluate the model efficacy, provide a reference for clinicians to identify the patients at high risk of DPPB. Retrospective study was done on patients who underwent endoscopic colorectal polypectomy at the First Hospital of Lanzhou University from January 2020 to March 2023. Differences between the group with and without DPPB were compared, and independent risk factors for DPPB occurrence were identified through univariate analysis and combination LASSO and logistic regression. A dynamic nomogram was constructed based on multiple logistic regression to predict DPPB following colorectal polyp surgery. Model evaluation included receiver operating characteristic (ROC), Calibration curve, Decision curve analysis (DCA). DPPB occurred in 38 of the 1544 patients included. multivariate analysis showed that direct oral anticoagulants (DOACs), polyp location in the right hemi colon, polyp diameter, drink, and prophylactic hemoclips were the independent risk factors for DPPB and dynamic nomogram were established. Model validation indicated area under the ROC curve values of 0.936, 0.796, and 0.865 for the training set, validation set, and full set, respectively. The calibration curve demonstrated a strong alignment between the predictions of the column-line diagram model and actual observations. The decision curve analysis (DCA) displayed a significant net clinical benefit across the threshold probability range of 0-100%. The dynamic nomogram aids clinicians in identifying high-risk patients, enabling personalized diagnosis and treatment.

In situ implantable DNA hydrogel for diagnosis and therapy of postoperative rehemorrhage following intracerebral hemorrhage surgery.

Postoperative rehemorrhage following intracerebral hemorrhage surgery is intricately associated with a high mortality rate, yet there is now no effective clinical treatment. In this study, we developed a hemoglobin (Hb)-responsive in situ implantable DNA hydrogel comprising Hb aptamers cross-linked with two complementary chains and encapsulating deferoxamine mesylate (DFO). Functionally, the hydrogel generates signals upon postoperative rehemorrhage by capturing Hb, demonstrating a distinctive "self-diagnosis" capability. In addition, the ongoing capture of Hb mediates the gradual disintegration of the hydrogel, enabling the on-demand release of DFO without compromising physiological iron-dependent functions. This process achieves self-treatment by inhibiting the ferroptosis of neurocytes. In a collagenase and autologous blood injection model-induced mimic postoperative rehemorrhage model, the hydrogel exhibited a 5.58-fold increase in iron absorption efficiency, reducing hematoma size significantly (from 8.674 to 4.768 cubic millimeters). This innovative Hb-responsive DNA hydrogel not only offers a therapeutic intervention for postoperative rehemorrhage but also provides self-diagnosis feedback, holding notable promise for enhancing clinical outcomes.

Predictive Value of HAS-BLED and HEMORR2HAGES Bleeding Risk Scores After Percutaneous Coronary Intervention.

BACKGROUND: Various scoring systems have been developed to assess the risk of bleeding in medical settings. HAS-BLED and HEMORR2HAGES risk scores are commonly used to estimate bleeding risk in patients receiving anticoagulation for atrial fibrillation, but data on their predictive value in patients undergoing percutaneous coronary intervention (PCI) are limited. METHODS: This study evaluated and compared the predictive abilities of the HAS-BLED and HEMORR2HAGES bleeding risk scores in all-comer patients undergoing PCI. The PARIS score, specifically designed for patients undergoing PCI, was used as a comparator. The scores were calculated at baseline and compared with the occurrence of events during a 2-year clinical follow-up period. Between 2015 and 2017, all consecutive patients undergoing PCI we re prospectively enrolled and divided into risk tertiles based on bleeding risk scores. The primary end points were hierarchical major bleeding events, defined by Bleeding Academic Research Consortium types 3 through 5, and patient-oriented composite end points according to Bleeding Academic Research Consortium classification, which were assessed during the 2-year follow-up period. RESULTS: A total of 1,080 patients completed the follow-up period. Two years after index, 189 patients (17.5%) had experienced any bleeding, with 48 events (4.4%) classified as Bleeding Academic Research Consortium types 3 to 5. All bleeding risk scores showed statistically significant predictive ability for bleeding events. The HEMORR2HAGES score (C statistic, 0.73) was more effective than the HAS-BLED score (C statistic, 0.66; P = .07) and the PARIS score (C statistic, 0.66; P = .06) in predicting risk of major bleeding. Patients in high-risk bleeding groups also experienced a higher incidence of patient-oriented composite end points. CONCLUSIONS: The HEMORR2HAGES, HAS-BLED, and PARIS risk scores exhibited good predictive abilities for bleeding events following PCI. Patients at high risk of bleeding also demonstrated increased ischemic risk and higher mortality during the 2-year follow-up period.

The prognostic value of postoperative platelet levels in elderly patients after valve replacement surgery: a retrospective cohort study.

BACKGROUND: Further research is needed to assess the risk and prognosis after valve replacement surgery in elderly patients. This study aims to assess the prognostic value of platelet levels following valve replacement in elderly patients. METHODS: A retrospective analysis was conducted on 3814 elderly individuals who underwent valve replacement surgery, categorized into quartiles based on postoperative platelet levels. Univariate and multiple regression analysis were used to assess the risk factors associated with postoperative platelet levels and in-hospital death.The Receiver Operating Characteristic (ROC) curve was utilized to establish the postoperative platelet level threshold indicative of in-hospital mortality risk, while the Kaplan-Meier curve compared the one-year postoperative survival among patients with differing postoperative platelet levels. RESULTS: The low postoperative platelet levels group had a higher incidence of massive bleeding (> 400 ml), necessitating platelet transfusion and prolonged cardiopulmonary bypass during surgery (P < 0.001). However, postoperative occurrences of heart failure and stroke did not achieve statistical significance (P > 0.05). Multivariate regression analysis disclosed an association between postoperative platelet levels and in-hospital death (OR: 2.040, 95% CI: 1.372-3.034, P < 0.001). Over the one-year follow-up, patients with low platelet levels postoperatively had poorer overall survival than patients with higher platelet levels (P < 0.001) CONCLUSION: Postoperative platelets can serve as a prognostic indicator after valve surgery in elderly patients as a simple and easily available biochemical indicator. Enhanced monitoring and management postoperative platelet level in the elderly may be beneficial to improve the survival outcome of patients.

Diagnostic Value of the Pediatric Bleeding Questionnaire in Prediction of Bleeding in Minor Surgery.

OBJECTIVE: Preoperative coagulation tests have not been shown to be effective in predicting bleeding complications. The Pediatric Bleeding Questionnaire (PBQ) is a proven and sensitive tool for diagnosing children with a predisposition to bleeding. The aim of this study was to evaluate the usefulness of PBQ as a preoperative screening tool for the prediction of bleeding after minor surgical interventions. METHODS: Preoperative coagulation tests and PBQ were performed in all patients who underwent minor surgery. The postoperative bleeding status was evaluated and then compared with the coagulation tests and PBQ of the patients. RESULTS: Evaluation was made of a total of 706 patients, comprising 91.2% males and 8.8% females, with a mean age of 4.8 years (median: 4 y, QR: 1 to 7 y). Prolongation in coagulation tests was observed in 131 (18.5%) patients. Repeated tests in 116 patients were within the normal range, and 5 patients received treatment. Postoperative bleeding occurred in 4 (0.5%) patients. The relationship between coagulation tests and postoperative bleeding was not significant. PBQ was found to be ≥2 in 14 patients, but none of these patients had postoperative bleeding. No significant relationship was found between postoperative bleeding status and PBQ ( p :0.77). The sensitivity, specificity, positive predictive, and negative predictive values of PBQ were 0%, 98%, 0%, and 97.4%, respectively. CONCLUSIONS: The results of this study demonstrated that neither coagulation tests nor PBQ will be sufficient to predict bleeding after minor surgery, that prolongation in coagulation tests does not always indicate a bleeding tendency, and that bleeding history should also be recorded in detail.

Effect of Tranexamic Acid on Intra- and Postoperative Bleeding in Eyelid Surgery: A Prospective, Randomized, Multicenter, Double-Masked, Control Trial.

PURPOSE: Pilot studies suggest that waiting 15 minutes after a subcutaneous tranexamic acid injection is associated with decreased intraoperative bleeding and postoperative ecchymosis in eyelid surgery. The outcomes of commencing eyelid surgery immediately after injection without a waiting period remain unexplored. METHODS: This prospective, randomized, multicenter, double-masked, controlled study examined bilateral symmetric upper and/or lower lid blepharoplasty or ptosis repair. Patients received tranexamic acid in 1 eyelid and control in the contralateral eyelid. The surgeon recorded the side with more intraoperative bleeding. Two masked graders evaluated periocular ecchymosis at postoperative day 0 and postoperative week 1 (POW 1) with a 5-point scale. At POW 1, patients reported subjective grading of bruising as increased on 1 side or similar on both sides. Results were analyzed with Wilcoxon signed-rank and sign tests. RESULTS: Of 130 patients, there was less eyelid ecchymosis on the tranexamic side at postoperative day 0 ( p = 0.001) and POW 1 ( p < 0.001). By surgery type, the 69 levator advancement surgeries had significantly less ecchymosis at postoperative day 0 ( p < 0.001) and POW 1 ( p = 0.001), while upper eyelid blepharoplasty, combined upper and lower lid blepharoplasty, and conjunctivomullerectomy trended toward significance. Of 68 patients reporting a POW 1 grading, 69% reported less bruising on the tranexamic side ( p < 0.001). Intraoperative bleeding was not significantly different between sides ( p = 0.930). CONCLUSIONS: Without a postinjection waiting period, subcutaneous tranexamic acid for eyelid surgery significantly decreased postoperative ecchymosis on postoperative day 0 and POW 1 but did not affect intraoperative bleeding. Subcutaneous tranexamic acid was not associated with any complications.

Aetiology and predictors of major bleeding events in patients with heart failure with reduced ejection fraction undergoing percutaneous coronary intervention.

OBJECTIVES: We sought to determine the relationship between the degree of left ventricular ejection fraction (LVEF) impairment and the frequency and type of bleeding events after percutaneous coronary intervention (PCI). DESIGN: This was an observational retrospective cohort analysis. Patients who underwent PCI from 2009 to 2017 were identified from our institutional National Cardiovascular Disease Registry (NCDR) CathPCI database. Patients were stratified by pre-PCI LVEF: preserved (≥50%), mildly reduced (41%-49%) and reduced (≤40%) LVEF. PRIMARY OUTCOME MEASURES: The outcome was major bleeding, defined by NCDR criteria. Events were classified based on bleeding aetiology and analysed by multivariable logistic regression. RESULTS: Among 13 537 PCIs, there were 817 bleeding events (6%). The rate of bleeding due to any cause, blood transfusion, gastrointestinal bleeding and coronary artery perforation or tamponade each increased in a stepwise fashion comparing preserved, mildly reduced and reduced LVEF reduction (p<0.05 for all comparisons). However, there were no differences in bleeding due to asymptomatic drops in haemoglobin, access site haematoma or retroperitoneal bleeding. After multivariable adjustment, mildly reduced and reduced LVEF remained independent predictors of bleeding events (OR 1.36, 95% CI 1.06 to 1.74, p<0.05 and OR 1.73, 95% CI 1.45 to 2.06, p<0.0001). CONCLUSIONS: The degree of LV dysfunction is an independent predictor of post-PCI major bleeding events. Patients with mildly reduced or reduced LVEF are at greatest risk of post-PCI bleeding, driven by an increased need for blood transfusion, major GI bleeding events and coronary artery perforation or tamponade. Pre-PCI LV dysfunction does not predict asymptomatic declines in haemoglobin, access site haematoma or retroperitoneal bleeding.

Postoperative delayed massive bleeding in gastric cancer: a case report.

BACKGROUND: Postoperative delayed bleeding of gastric cancer is a complication of radical gastrectomy with low incidence rate and high mortality. CASE PRESENTATION: This case report presents the case of a 63-year-old female patient of Mongolian ethnicity who was diagnosed with gastric malignancy during a routine medical examination and underwent Billroth's I gastric resection in our department. However, on the 24th day after the surgery, she was readmitted due to sudden onset of hematemesis. Gastroscopy, abdominal CT, and digital subtraction angiography revealed postoperative anastomotic fistula, rupture of the duodenal artery, and bleeding from the abdominal aorta. The patient underwent three surgical interventions and two arterial embolizations. The patient's condition stabilized, and she was discharged successfully. CONCLUSION: Currently, there are no specific guidelines for the diagnosis and treatment of pseudoaneurysms in the abdominal cavity resulting from gastric cancer surgery. Early digital subtraction angiography examination should be performed to assist in formulating treatment plans. Early diagnosis and treatment contribute to an improved overall success rate of rescue interventions.

The relationship between posttonsillectomy bleeding to hemogram and coagulation parameters.

PURPOSE: Tonsillectomy is a common surgery performed for indications such as chronic tonsilitis, tonsil hypertrophy and obsructive sleep apnea. Although posttonsillectomy bleeding (PTB) is rare and can be controlled with simple interventions in many patients, it is one of the most feared complications of tonsillectomy surgery. In our study, we investigated the effects of changes in hemogram and coagulation values and seasonal effects on PTB. METHODS: Pediatric and adult patients who underwent tonsillectomy with cold knife method between August 2020 and August 2023 in our clinic were retrospectively reviewed. Demographic data, hemogram and coagulation values of the patients in the control and study groups were recorded and the differences between the two groups in terms of these parameters were evaluated. RESULTS: Our study included 991 patients aged 1-51 years. The rate of PTB was calculated as 2.82%. No patient with primary PTB was found. The duration of bleeding development was 7.03 days. Age, WBC and neutrophil values were statistically significantly higher in the study group. There were no significant differences between two groups in terms of gender, season and other hemogram and coagulation parameters. CONCLUSIONS: Age, high WBC and neutrophil levels were determined as possible risk factors for PTB. Seasonal and gender distribution, aPTT and INR values were similar in the two groups. In order to prevent and predict bleeding, detailed infection investigation should be performed and the risk of bleeding should be considered to increase with increasing age.

Hemorrhage Following Muller's Muscle Conjunctival Resection: Description and Case-Control Study.

PURPOSE: The purpose of this study was to report a series of patients with postoperative hemorrhage after Muller's muscle conjunctival resection surgery and compare risk factors and outcomes with a control population. METHODS: In this case-control study, records of patients who underwent Muller's muscle conjunctival resection over 5 years were reviewed for a history of postoperative hemorrhage occurring >24 hours after surgery. A 4:1 control population was matched for age and sex. Clinical data collected included demographics, medical history, medications, and subsequent surgery. Preoperative and 3-month postoperative marginal reflex distance 1 were measured digitally using ImageJ. The hemorrhage and control groups were compared using Fisher's exact tests for categorical variables and independent samples t tests for continuous variables. RESULTS: The hemorrhage group contained 10 patients (mean age 66.4 ± 18.5 years). The control group consisted of 40 age and sex-matched controls. Of 350 charts reviewed, there were 10 cases of postoperative hemorrhage (incidence 2.9%). Hemorrhage occurred a mean of 4.2 ± 1.3 (range 2-7) days after surgery and lasted for a mean of 29.3 ± 19.1 (range 12-72) hours. In all 10 cases, the bleeding resolved with conservative measures. There was no difference between the hemorrhage and control groups in terms of medical conditions, blood thinners, and surgical revision. Preoperative, postoperative, and change in marginal reflex distance 1 did not differ between the hemorrhage and control groups. CONCLUSIONS: Hemorrhage occurs approximately 4-5 days postoperatively in a small percentage of patients undergoing Muller's muscle conjunctival resection surgery. This investigation did not identify any consistent risk factors, and outcomes in this patient population appear no different than controls.

Machine learning algorithm to predict postoperative bleeding complications after lateral decubitus percutaneous nephrolithotomy.

Bleeding is a serious complication following percutaneous nephrolithotomy (PCNL). This study establishes a predictive model based on machine learning algorithms to forecast the occurrence of postoperative bleeding complications in patients with renal and upper ureteral stones undergoing lateral decubitus PCNL. We retrospectively collected data from 356 patients with renal stones and upper ureteral stones who underwent lateral decubitus PCNL in the Department of Urology at Peking University First Hospital-Miyun Hospital, between January 2015 and August 2022. Among them, 290 patients had complete baseline data. The data was randomly divided into a training group (n = 232) and a test group (n = 58) in an 8:2 ratio. Predictive models were constructed using Logistic Regression, Random Forest, and Extreme Gradient Boosting (XGBoost). The performance of each model was evaluated using Accuracy, Precision, F1-Score, Receiver Operating Characteristic curves, and Area Under the Curve (AUC). Among the 290 patients, 35 (12.07%) experienced postoperative bleeding complications after lateral decubitus PCNL. Using postoperative bleeding as the outcome, the Logistic model achieved an accuracy of 73.2%, AUC of 0.605, and F1 score of 0.732. The Random Forest model achieved an accuracy of 74.5%, AUC of 0.679, and F1 score of 0.732. The XGBoost model achieved an accuracy of 68.3%, AUC of 0.513, and F1 score of 0.644. The predictive model for postoperative bleeding after lateral decubitus PCNL, established based on machine learning algorithms, is reasonably accurate. It can be utilized to predict postoperative stone residue and recurrence, aiding urologists in making appropriate treatment decisions.

Development and validation of a postoperative bleeding complications prediction model in infective endocarditis.

OBJECTIVES: Bleeding complications are one of the most serious postoperative complications after cardiac surgery and are associated with high mortality, especially in patients with infective endocarditis (IE). Our objectives were to identify the risk factors and develop a prediction model for postoperative bleeding complications in IE patients. METHODS: The clinical data of IE patients treated from October 2013 to January 2022 were reviewed. Multivariate logistic regression analysis was used to evaluate independent risk factors for postoperative bleeding complications and develop a prediction model accordingly. The prediction model was verified in a temporal validation cohort. The performance of the model was evaluated in terms of its discrimination power, calibration, precision, and clinical utility. RESULTS: A total of 423 consecutive patients with IE who underwent surgery were included in the final analysis, including 315 and 108 patients in the training cohort and validation cohort, respectively. Four variables were selected for developing a prediction model, including platelet counts, systolic blood pressure, heart failure and vegetations on the mitral and aortic valves. In the training cohort, the model exhibited excellent discrimination power (AUC = 0.883), calibration (Hosmer-Lemeshow test, P = 0.803), and precision (Brier score = 0.037). In addition, the model also demonstrated good discrimination power (AUC = 0.805), calibration (Hosmer-Lemeshow test, P = 0.413), and precision (Brier score = 0.067) in the validation cohort. CONCLUSIONS: We developed and validated a promising risk model with good discrimination power, calibration, and precision for predicting postoperative bleeding complications in IE patients.

Late postoperative vitreous cavity hemorrhage after vitrectomy for proliferative diabetic retinopathy-observation versus intervention.

PURPOSE: To analyze the outcome of intervention versus observation for vitreous cavity hemorrhage occurring after a 2-month period of blood-free cavity (late postoperative vitreous cavity hemorrhage-POVCH) in eyes operated by vitrectomy for complications of proliferative diabetic retinopathy (PDR). METHODS: This study was a 10-year retrospective, observational, multi-center study involving eight major vitreoretinal surgical centers across India from January 2010 to December 2019. The primary objective of the study was to assess the visual and clinical outcomes of various management approaches for late POVCH. The key secondary objective was to determine the best management option that prevented recurrence. Patients with follow-up of less than 6 months of POVCH management were excluded. RESULTS: The occurrence of late POVCH was studied in 261 eyes. The median time to occurrence was 7 months (range: 2-87) postvitrectomy/silicone oil removal. The majority (58%) experienced a single, nonrecurring POVCH event. Visual acuity outcome was independent of all management approaches (P = 0.179; mean follow-up 20.7 ± 14.1 months). With watchful observation, spontaneous resolution was noted in 83% (60/72 eyes) of eyes in 81.5 days (interquartile range, 169.75). Silicone oil injection was most effective in preventing recurrence (P < 0.001). CONCLUSION: The current treatment practice of late POVCH management in PDR suggests that watchful observation for at least 3 months could be as efficacious as any surgical intervention.

Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery.

BACKGROUND: Postoperative gastrointestinal bleeding (GIB) is a rare but serious complication of bariatric surgery. The recent rise in extended venous thromboembolism regimens as well as outpatient bariatric surgery may increase the risk of postoperative GIB or lead to delay in diagnosis. This study seeks to use machine learning (ML) to create a model that predicts postoperative GIB to aid surgeon decision-making and improve patient counseling for postoperative bleeds. METHODS: The Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database was used to train and validate three types of ML methods: random forest (RF), gradient boosting (XGB), and deep neural networks (NN), and compare them with logistic regression (LR) regarding postoperative GIB. The dataset was split using fivefold cross-validation into training and validation sets, in an 80/20 ratio. The performance of the models was assessed using area under the receiver operating characteristic curve (AUROC) and compared with the DeLong test. Variables with the strongest effect were identified using Shapley additive explanations (SHAP). RESULTS: The study included 159,959 patients. Postoperative GIB was identified in 632 (0.4%) patients. The three ML methods, RF (AUROC 0.764), XGB (AUROC 0.746), and NN (AUROC 0.741) all outperformed LR (AUROC 0.709). The best ML method, RF, was able to predict postoperative GIB with a specificity and sensitivity of 70.0% and 75.4%, respectively. Using DeLong testing, the difference between RF and LR was determined to be significant with p < 0.01. Type of bariatric surgery, pre-op hematocrit, age, duration of procedure, and pre-op creatinine were the 5 most important features identified by ML retrospectively. CONCLUSIONS: We have developed a ML model that outperformed LR in predicting postoperative GIB. Using ML models for risk prediction can be a helpful tool for both surgeons and patients undergoing bariatric procedures but more interpretable models are needed.

Increasing obesity is associated with lower postoperative bleeding in coronary bypass patients.

OBJECTIVE: Despite inherent comorbidities, obese cardiac surgical patients paradoxically had shown lower morbidity and mortality, although the nature of this association is still unclear. Thus, the authors intended in this large registry-based study to investigate the impact of obesity on short- and long-term postoperative outcomes, focusing on bleeding and transfusion requirements. DESIGN: Retrospective registry study. SETTING: Three university hospitals. PARTICIPANTS: A cohort of 12,330 prospectively compiled data from coronary bypass grafting patients undergoing surgery between 2007 to 2020 were retrieved from the Western Denmark Heart Registry. INTERVENTIONS: The parameters were analyzed to assess the association between body mass index (BMI) and the selected outcome parameters. MEASUREMENTS AND MAIN RESULTS: The crude data showed a clear statistically significant association in postoperative drainage from 637 (418-1108) mL in underweight patients with BMI <18.5 kg/m2 to 427 (295-620) mL in severely obese patients with BMI ≥40 kg/m2 (p < 0.0001, Kruskal-Wallis). Further, 50.0% of patients with BMI <18.5 received an average of 451 mL/m2 in red blood cell transfusions, compared to 16.7% of patients with BMI >40 receiving 84 mL/m2. The obese groups were less often submitted to reexploration due to bleeding, and fewer received perioperative hemostatics, inotropes, and vasoconstrictors. The crude data showed increasing 30-day and 6-month mortality with lower BMI, whereas the one-year mortality showed a V-shaped pattern, but BMI had no independent impact on mortality in logistic regression analysis. CONCLUSION: Patients with high BMI may carry protection against postoperative bleeding after cardiac surgery, probably secondary to an inherent hypercoagulable state, whereas underweight patients carry a higher risk of bleeding and worse outcomes.

Approach to thromboelastography-based transfusion in cirrhosis: An alternative perspective on coagulation disorders.

Viscoelastic tests, specifically thromboelastography and rotational thromboelastometry, are increasingly being used in the management of postoperative bleeding in surgical intensive care units (ICUs). However, life-threatening bleeds may complicate the clinical course of many patients admitted to medical ICUs, especially those with underlying liver dysfunction. Patients with cirrhosis have multiple coagulation abnormalities that can lead to bleeding or thrombotic complications. Compared to conventional coagulation tests, a comprehensive depiction of the coagulation process and point-of-care availability are advantages favoring these devices, which may aid physicians in making a rapid diagnosis and instituting early interventions. These tests may help predict bleeding and rationalize the use of blood products in these patients.

Are Viscoelastic Tests Clinically Useful to Identify Platelet-Dependent Bleeding in High-Risk Cardiac Surgery Patients?

BACKGROUND: Postoperative use of platelet function testing to rule out microvascular bleeding due to platelet dysfunction after cardiac surgery still lacks strong reference data and reliable cutoff values, yielding a clinically adequate sensitivity and specificity. The present study aims to investigate the performance of two different point-of-care viscoelastic devices and platelet aggregometry in expressing surgery-dependent platelet dysfunction and anticipating postoperative major bleeding in a cohort of high-risk patients. METHODS: Prospective cohort study of 50 adult patients who were on antiplatelet drugs discontinued for no more than 7 days (clopidogrel and prasugrel) or 5 days (ticagrelor) undergoing cardiac surgery with cardiopulmonary bypass (CPB). Coagulation and platelet function testing, including QUANTRA, ROTEM, and Multiplate, were assessed preoperatively and postoperatively. Chest drain blood loss was measured in the first 12 postoperative hours. Perioperative bleeding was assessed using a modified version of the Universal Definition of Perioperative Bleeding (UDPB) in cardiac surgery, modified to not consider anemia-correcting packed red cells transfusions in the absence of bleeding >600 mL/12 h. Major bleeding was identified as UDPB class II or higher. RESULTS: Multiplate adenosine diphosphate (ADPtest) was significantly ( P = .001) reduced after CPB, whereas TRAPtest was not. The platelet component (PC) as extrapolated by ROTEM data (EXTEM MCF-FIBTEM MCF) was unchanged after CPB, while the A10 PC (PC at 10 minutes) was significantly ( P = .001) reduced. The QUANTRA platelet contribution to clot stiffness (PCS) was significantly ( P = .001) reduced, as well. At the ROC analysis for the predictive ability of the post-CPB platelet function testing, the best discrimination was obtained by the QUANTRA PCS, with an area under the curve (AUC) (95% confidence interval [CI]) of 0.80 (0.66-0.91), P = .001, followed by the ROTEM A10 PC with AUC (95% CI) of 0.75 (0.51-0.99), P = .004, and PC with AUC (95% CI) of 0.74 (0.50-0.99), P = .009. The Multiplate ADPtest had an AUC (95% CI) of 0.67 (0.42-0.91), and the TRAPtest had an AUC (95% CI) of 0.62 (0.37-0.86). The cutoff values identified were 13 hPa for the QUANTRA PCS, 40 mm for the ROTEM A10, and 48.5 mm for the ROTEM PC, with negative predictive values of 84%, 81%, and 86%, respectively, and positive predictive values of 55%, 53%, and 69%, respectively. CONCLUSIONS: QUANTRA PCS, ROTEM A10 PC, and Multiplate ADPtest showed a significant decrease after CPB, whereas ROTEM PC and Multiplate TRAPtest did not. Major bleeding was predicted with a moderate to good discrimination by the post-CPB viscoelastic tests (PCS, PC, and A10 PC).

Development and validation of a model for surveillance of postoperative bleeding complications using structured electronic health records data.

BACKGROUND: Postoperative bleeding complications surveillance is done primarily through manual chart review. The purpose of this study was to develop and validate a detection model for postoperative bleeding complications using structured electronic health records data. METHODS: Patients who underwent operations at 1 of 5 hospitals within our local health system between 2013 and 2019 and whose complications were reported by the American College of Surgeons National Surgical Quality Improvement Program were included. Electronic health records data were linked to American College of Surgeons National Surgical Quality Improvement Program data using personal health identifiers. Electronic health records predictors included diagnosis codes mapped to PheCodes, procedure names, and medications within 30 days after surgery. We defined bleeding events as the transfusion of red blood cell components within 30 days after surgery. The knockoff filter and the lasso were used to develop a model in a training set of operations from January 2013 to March 2017. Performance of each model was tested in a held-out data set of patients who underwent operations from March 2017 to October 2019. RESULTS: A total of 30,639 patients were included; 1,112 patients (3.6%) had a bleeding event. Eight predictor variables were selected by the knockoff filter. When applied to the test set, specificity was 94%, sensitivity was 94%, area under the curve was 0.97, and accuracy was 93%. Calibration was consistent in lower predicted risk patients, whereas the model slightly overpredicted risk in high-risk patients. CONCLUSION: We created a parsimonious, accurate model for identifying patients with bleeding complications. This model can be used to augment manual chart review for surveillance and reporting of perioperative bleeding complications, enabling inclusion of all surgeries in quality improvement efforts.