White blood cell count and mortality in patients with acute pulmonary embolism

Causal association between circulating blood cell traits and pulmonary embolism: a mendelian randomization study

BACKGROUND

Pulmonary embolism (PE) is a life-threatening thromboembolic disease for which there is limited evidence for effective prevention and treatment. Our goal was to determine whether genetically predicted circulating blood cell traits could influence the incidence of PE.

METHODS

Using single variable Mendelian randomization (SVMR) and multivariate Mendelian randomization (MVMR) analyses, we identified genetic associations between circulating blood cell counts and lymphocyte subsets and PE. GWAS blood cell characterization summary statistics were compiled from the Blood Cell Consortium. The lymphocyte subpopulation counts were extracted from summary GWAS statistics for samples from 3757 individuals that had been analyzed by flow cytometry. GWAS data related to PE were obtained from the FinnGen study.

RESULTS

According to the SVMR and reverse MR, increased levels of circulating white blood cells (odds ratio [OR]: 0.88, 95% confidence interval [CI]: 0.81-0.95, p = 0.0079), lymphocytes (OR: 0.90, 95% CI: 0.84-0.97, p = 0.0115), and neutrophils (OR: 0.88, 95% CI: 0.81-0.96, p = 0.0108) were causally associated with PE susceptibility. MVMR analysis revealed that lower circulating lymphocyte counts (OR: 0.84, 95% CI: 0.75-0.94, p = 0.0139) were an independent predictor of PE. According to further MR results, this association may be primarily related to HLA-DR+ natural killer (NK) cells.

CONCLUSIONS

Among European populations, there is a causal association between genetically predicted low circulating lymphocyte counts, particularly low HLA-DR+ NK cells, and an increased risk of PE. This finding supports observational studies that link peripheral blood cells to PE and provides recommendations for predicting and preventing this condition.

Interpretable Machine Learning Approach for Predicting 30-Day Mortality of Critical Ill Patients with Pulmonary Embolism and Heart Failure: A Retrospective Study

BACKGROUND

Pulmonary embolism (PE) patients combined with heart failure (HF) have been reported to have a high short-term mortality. However, few studies have developed predictive tools of 30-day mortality for these patients in intensive care unit (ICU). This study aimed to construct and validate a machine learning (ML) model to predict 30-day mortality for PE patients combined with HF in ICU.

METHODS

We enrolled patients with PE combined with HF in the Medical Information Mart for Intensive Care Database (MIMIC) and developed six ML models after feature selection. Further, eICU Collaborative Research Database (eICU-CRD) was utilized for external vali- dation. The area under curves (AUC), calibration curves, decision curve analysis (DCA), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were performed to evaluate the prediction performance. Shapley additive explanation (SHAP) was performed to enhance the interpretability of our models.

RESULTS

A total of 472 PE patients combined with HF were included. We developed six ML models by the 13 selected features. After internal validation, the Support Vector Ma- chine (SVM) model performed best with an AUC of 0.835, a superior calibration degree, and a wider risk threshold (from 0% to 90%) for obtaining clinical benefit, which also outperformed traditional mortality risk evaluation systems,as evaluated by NRI and IDI. The SVM model was still reliable after external validation. SHAP was performed to explain the model. Moreover, an online application was developed for further clinical use.

CONCLUSION

This study developed a potential tool for identify short-term mortality risk to guide clinical decision making for PE patients combined with HF in the ICU. The SHAP method also helped clinicians to better understand the model.

Association of Blood Leukocytes and Hemoglobin with Hospital Mortality in Acute Pulmonary Embolism

This study aimed to assess the prognostic significance of total leukocyte count (TLC) and hemoglobin (Hb) levels upon admission for patients with acute pulmonary embolism (PE), considering the European Society of Cardiology (ESC) model for mortality risk. 1622 patients from a regional PE registry were included. Decision tree statistics were employed to evaluate the prognostic value of TLC and Hb, both independently and in conjunction with the ESC model. The results indicated all-cause and PE-related in-hospital mortality rates of 10.7% and 6.5%, respectively. Subgrouping patients based on TLC cut-off values (≤11.2, 11.2-16.84, >16.84 × 109/L) revealed increasing all-cause mortality risks (7.0%, 11.8%, 30.2%). Incorporating Hb levels (≤126 g/L or above) further stratified the lowest risk group into two strata with all-cause mortality rates of 10.1% and 4.7%. Similar trends were observed for PE-related mortality. Notably, TLC improved risk assessment for intermediate-high-risk patients within the ESC model, while Hb levels enhanced mortality risk stratification for lower-risk PE patients in the ESC model for all-cause mortality. In conclusion, TLC and Hb levels upon admission can refine the ESC model's mortality risk classification for patients with acute PE, providing valuable insights for improved patient management.

Predicting acute pulmonary embolism in COVID-19

Acute pulmonary embolism (PE) is a life-threatening condition in patients with Coronavirus disease-2019 (COVID-19). Computed tomography pulmonary angiography is the preferred test to confirm the diagnosis. However, computed tomography pulmonary angiography is expensive and is not available in every clinic. This study aimed to determine whether clinical findings, symptoms, and parameters that are cost-effective and available in many clinics such as C-reactive protein (CRP) lymphocyte ratio (CLR), and ferritin CRP ratio (FCR) can be used in the diagnosis of PE in patients with COVID-19. Out of the reviewed files, 127 patients were diagnosed with PE, whereas 105 patients had no PE. At the first admission, laboratory parameters, complaints, respiratory rate, and percent oxygen saturation in the blood (SpO2) with a pulse oximeter were recorded for each patient. Eosinophil levels remained lower, whereas ferritin lymphocyte ratio and CLR were higher in the PE group. Patients with more elevated ferritin, CRP, and CLR had an increased mortality risk. Shortness of breath and tiredness was more common in the PE group. A decrease in eosinophil levels, whereas an increase in CLR, D-dimer, and CRP may predict PE. Elevated CLR is highly predictive of PE and is associated with increased mortality risk. COVID-19 patients with a CLR level above 81 should be investigated for PE.

Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models

Background

Pulmonary thromboembolism (PE) is the third leading cause of cardiovascular events. The conventional modeling methods and severity risk scores lack multiple laboratories, paraclinical and imaging data. Data science and machine learning (ML) based prediction models may help better predict outcomes.

Materials and methods

In this retrospective registry-based design, all consecutive hospitalized patients diagnosed with pulmonary thromboembolism (based on pulmonary CT angiography) from 2011 to 2019 were recruited. ML based algorithms [Gradient Boosting (GB) and Deep Learning (DL)] were applied and compared with logistic regression (LR) to predict hemodynamic instability and/or all-cause mortality.

Results

A total number of 1,017 patients were finally enrolled in the study, including 465 women and 552 men. Overall incidence of study main endpoint was 9.6%, (7.2% in men and 12.4% in women; p-value = 0.05). The overall performance of the GB model is better than the other two models (AUC: 0.94 for GB vs. 0.88 and 0.90 for DL and LR models respectively). Based on GB model, lower O2 saturation and right ventricle dilation and dysfunction were among the strongest adverse event predictors.

Conclusion

ML-based models have notable prediction ability in PE patients. These algorithms may help physicians to detect high-risk patients earlier and take appropriate preventive measures.

Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques

Introduction

Pulmonary embolism (PE) is a cardiopulmonary condition that can be fatal. PE can lead to sudden cardiovascular collapse and is potentially life-threatening, necessitating risk classification to modify therapy following the diagnosis of PE. We collected clinical characteristics, routine blood data, and arterial blood gas analysis data from all 139 patients.

Methods

Combining these data, this paper proposes a PE risk stratified prediction framework based on machine learning technology. An improved algorithm is proposed by adding sobol sequence and black hole mechanism to the cuckoo search algorithm (CS), called SBCS. Based on the coupling of the enhanced algorithm and the kernel extreme learning machine (KELM), a prediction framework is also proposed.

Results

To confirm the overall performance of SBCS, we run benchmark function experiments in this work. The results demonstrate that SBCS has great convergence accuracy and speed. Then, tests based on seven open data sets are carried out in this study to verify the performance of SBCS on the feature selection problem. To further demonstrate the usefulness and applicability of the SBCS-KELM framework, this paper conducts aided diagnosis experiments on PE data collected from the hospital.

Discussion

The experiment findings show that the indicators chosen, such as syncope, systolic blood pressure (SBP), oxygen saturation (SaO2%), white blood cell (WBC), neutrophil percentage (NEUT%), and others, are crucial for the feature selection approach presented in this study to assess the severity of PE. The classification results reveal that the prediction model's accuracy is 99.26% and its sensitivity is 98.57%. It is expected to become a new and accurate method to distinguish the severity of PE.

Short-term prognostic value of clinical data in hospitalized patients with intermediate-risk acute pulmonary embolism

BACKGROUND

Intermediate-risk acute pulmonary embolism (APE) patients are usually defined as hemodynamically stable, comprehending a great therapeutic dilemma. Although anticoagulation therapy is sufficient for most intermediate-risk APE patients, some patients can deteriorate and eventually require a systemic fibrinolytic agent or thrombectomy. Hence, this study aimed to evaluate the predictive value of differences in clinical data for the short-term prognosis of intermediate-risk APE patients.

METHODS

A retrospective cohort of 74 intermediate-risk APE patients confirmed by computed tomography pulmonary angiography was analyzed in the present study. Adverse clinical event outcomes included PE-related in-hospital deaths, critical systolic blood pressure consistently under 90 mmHg, refractory to volume loading and vasopressor infusion requirements, mechanical ventilation, and cardiopulmonary resuscitation. The APE patients were stratified into two groups: adverse outcome (n = 25) and control (n = 49) groups. Then, the clinical data of the two groups were compared. Receiver operating characteristic (ROC) curves were used to explore the predictive value of white blood cell (WBC) counts and the right to left ventricular short-axis (RV/LV) ratio. Model calibration was assessed using the Hosmer-Lemeshow goodness-of-fit statistic.

RESULTS

The brain natriuretic peptide, WBC count, and the RV/LV ratio were higher in patients with adverse outcomes compared to controls. The APE patients with adverse outcomes presented significantly higher rates of syncope, Negative T waves (NTW) in V1-V3, intermediate-high risk, thrombolytic therapy, and low arterial oxygen saturation (SaO₂) compared to controls. In the multivariate logistic regression analysis, the SaO₂ < 90%, [odds ratio (OR) 5.343, 95% confidence interval (CI) 1.241-23.008; p = 0.024], RV/LV ratio (OR 7.429, 95% CI 1.145-48.209; p = 0.036), Syncope (OR 12.309, 95% CI 1.702-89.032; p = 0.013), NTW in V1-V3 (OR 5.617, 95% CI 1.228-25.683; p = 0.026), and WBC count (OR 1.212, 95% CI 1.035-1.419; p = 0.017) were independent predictors of in-hospital adverse outcomes among APE patients. The ROC curve analysis indicated that the RV/LV ratio can be used to predict adverse outcomes (AUC = 0.748, p < 0.01) and calibration (Hosmer-Lemeshow goodness of fit test, p = 0.070). Moreover, an RV/LV ratio > 1.165 was predictive of adverse outcomes with sensitivity and specificity of 88.00 and 59.20%, respectively. The WBC counts were also able to predict adverse outcomes (AUC = 0.752, p < 0.01) and calibration (Hosmer-Lemeshow goodness of fit test, p = 0.251). A WBC count > 9.05 was predictive of adverse outcomes with sensitivity and specificity of 68.00 and 73.50%, respectively.

CONCLUSION

Overall, a SaO₂ < 90%, RV/LV ratio, Syncope, NTW in V1-V3, and WBC counts could independently predict adverse outcomes in hospitalized intermediate-risk APE patients.

Decreased Pulmonary Artery Bifurcation Angle: A Novel Imaging Criterion for the Diagnosis of Chronic Pulmonary Thromboembolism

Background

Chronic pulmonary thromboembolism (CTEPH) is an unusual complication of acute pulmonary embolism (PE), which is now considered to be treatable. In modern multi-detector scanners, a detailed evaluation of pulmonary artery geometry is currently possible. This study aimed to evaluate the changes in pulmonary artery bifurcation angle (PABA) in the follow-up computed tomography angiography (CTA) of patients with acute PE.

Methods

In this cross-sectional study, the records of two tertiary-level academic hospitals were gathered from 2012 to 2019. Pulmonary artery (PA) bifurcation angle and diameter were measured. Chi square test, independent samples t test, Mann-Whitney, and Pearson's tests were employed to compare data. To evaluate the cut-off point, we utilized receiver operating characteristic (ROC) curve analysis. The accuracy, sensitivity, and specificity of pulmonary artery bifurcation angle changes were calculated. A P value <0.05 was considered to be significant.

Results

Forty-six patients were included in the study. No significant differences were found between patients with and without CTEPH, and PABA in the dimeters of PA trunk, right PA, and left PA in the first CTA images (P values of 0.151, 0.142, 0.891, and 0.483, respectively), while in the secondary CTA, the mean PABA was significantly smaller in patients with CTEPH (P=0.011). In the receiver operating characteristic (ROC) analysis, delta angle revealed an area under the curve of 0.745 and an optimal cutoff of 0, leading to a sensitivity of 64%, specificity of 87%, and accuracy of 76% for diagnosing CTEPH.

Conclusion

We showed a significant decrease in PABA in patients developing CTEPH. This parameter can be easily measured in lung CTA.

Differences in clinical and echocardiographic variables and mortality predictors among older patients with pulmonary embolism

BACKGROUND

An increase in short-term mortality can be found among older patients with hemodynamically stable acute pulmonary embolism (APE) who have signs of right ventricular (RV) dysfunction.

AIMS

This study was designed to assess whether any difference exists among clinical, laboratory, electrocardiography and echocardiography parameters between older and younger patients diagnosed with APE.

METHODS

The study sample included a total of 635 patients with confirmed APE who were divided into two groups of older (65 years and older) and younger (younger than 65 years) individuals. Comparisons were performed between these groups in terms of clinical, predisposing factors and laboratory, electrocardiographic and echocardiographic parameters.

RESULTS

Analyses of 295 (46.4%) older and 340 (53.6%) younger patients diagnosed with APE were performed. Female sex, Pulmonary Embolism Severity Index score and baseline creatinine levels were higher in the older group. Also, the frequency of atrial fibrillation, RV outflow tract parasternal long-axis proximal diameter, RV end-diastolic diameter (RV-EDD) basal (apical four-chamber) and RV systolic pressure were significantly greater in older patients with APE. A total of 30 (4.7%) deaths were observed during the in-hospital period [21 (7.1%) older vs 9 (2.6%) younger patients; p < 0.01]. In the multivariate logistic regression analysis, age, white blood cell count (WBC), left ventricular ejection fraction (LVEF), RV-EDD basal and tricuspid annular plane systolic excursion (TAPSE) of less than 16 mm were found to be independently associated with in-hospital mortality.

CONCLUSION

Older patients might experience greater rates of RV dilatation, RV dysfunction and atrial fibrillation during APE. In addition to age; elevated WBC, low LVEF, increased RV-EDD basal and TAPSE of less than 16 mm were independent predictors of mortality among study population.

Prevalence and clinical significance of pleural effusion in patients with acute pulmonary embolism: a retrospective study

Background

Pleural effusion is observed in a subset of patients with acute pulmonary embolism (APE) and may be linked to clinical outcome, but findings from previous studies have been inconsistent. This study aimed to investigate the prevalence and clinical significance of pleural effusion in Chinese patients with APE.

Methods

Clinical data from hospitalized patients with APE were retrospectively collected and the prevalence of pleural effusion was determined. The relationship between the presence of pleural effusion and clinical outcome of APE was analyzed by Cox proportional hazards regression and Kaplan-Meier survival analysis.

Results

The study enrolled 635 patients with APE. The prevalence of pleural effusion was 57.01% (362/635). Patients with pleural effusion had significantly higher in-hospital mortality (9.9% vs. 4.8%, P<0.05) and longer length of hospital stay (LOS) (19.99 vs. 15.31 days, P<0.05) than whose without pleural effusion. However, pleural effusion was not an independent risk factor for in-hospital mortality in patients with APE by multivariate Cox proportional hazards regression analysis [hazard ratio (HR) =1.70, 95% confidence interval (CI): 0.73-3.92, P=0.216] and Kaplan-Meier survival analysis (P=0.174).

Conclusions

Pleural effusion is a frequent occurrence in patients with APE and therefore merits greater attention from clinicians; however, it is not an independent risk factor for in-hospital mortality.

Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios Predict All-Cause Mortality in Acute Pulmonary Embolism

The aim of this study was to investigate the utility of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) to predict all-cause mortality in patients presenting with acute pulmonary embolism (PE). Three hundred consecutive patients with acute PE between March 2016 and December 2018 were retrospectively analyzed. We identified 191 patients who met the study inclusion criteria. Twenty-eight patients died during the study period. There was a significant difference in PLR, but not NLR, between patients with low risk, submassive, and massive risk PE (P = .02 and P = .58, respectively, by the Kruskal-Wallis test). Elevated NLR and PLR were associated with all-cause mortality (P < .01 and P < .01, respectively). Neutrophil-to-lymphocyte ratio of 5.46 was associated with all-cause mortality with sensitivity of 75.0% and specificity of 66.9% (area under the curve [AUC]: 0.692 [95% confidence interval, CI]: 0.568-0.816); P < .01). Platelet-to-lymphocyte ratio of 256.6 was associated with all-cause mortality with sensitivity of 53.6% and specificity of 82.2% (AUC: 0.693 [95% CI: 0.580-0.805]; P < .01). Neutrophil-to-lymphocyte ratio and PLR are simple biomarkers that are readily available from routine laboratory values and may be useful components of PE risk prediction models.

Normal white blood cell counts predict long-term mortality of hemodialysis patients

PURPOSE

It is unclear whether normal white blood cell (WBC) counts are predictive of subsequent mortality in hemodialysis patients.

METHODS

All patients aged 17 years or more, who initiated hemodialysis at a tertiary Hospital from January 2000 to August 2017 with a dialysis vintage of greater than 90 days and normal median WBC count of their first dialysis year were included in the study. They were followed until they died, transferred to other dialysis facilities, switched to peritoneal dialysis, received a renal transplant or reached the end of the study (August 31, 2018). Cox regression was used to estimate hazard ratios for mortality of tertiles of WBC counts, adjusting for baseline demographic, clinical and laboratory variables.

RESULTS

611 patients [median (interquartile range) age 65.2 (53.3-72.6) years, 62.4% male] were studied. During a median follow-up of 3.9 (1.6-7.2) years, 270 participants died. Patients in the mid- (6.25-7.73 × 10³/μL, n = 203) and top-tertile (7.73-10.50 × 10³/μL, n = 203) of normal WBC counts had significantly higher mortality than patients in the bottom-tertile (3.50-6.25 × 10³/μL, n = 205). The adjusted hazard ratio for mortality relative to the bottom-tertile was 1.54, 95% confidence interval (CI) 1.05-2.25 and 2.20, 95% CI 1.46-3.32, for the mid- and top-tertiles, respectively.

CONCLUSIONS

In hemodialysis patients, higher WBC count within the normal range is associated with increased long-term mortality. This finding is described for the first time and provides further insight into the clinical significance of a "normal" WBC count result in dialysis patients.

Value of the Delta Neutrophil Index for Predicting 28-Day Mortality in Patients With Acute Pulmonary Embolism in the Emergency Department

PURPOSE

Acute pulmonary embolism (PE), frequently seen in the emergency department (ED), is a leading cause of cardiovascular morbidity and mortality. The delta neutrophil index (DNI) reflects the fraction of circulating immature granulocytes as a component of the systemic inflammatory response syndrome criteria. The pathogenesis of acute PE is significantly associated with inflammation. The aim of the study was to investigate the clinical usefulness of the DNI as a marker of severity in patients with acute PE admitted to the ED.

METHODS

We retrospectively analyzed the data of patients who were diagnosed with acute PE at a single ED, admitted from January 1, 2011 to June 30, 2017. The diagnosis of acute pulmonary embolism was confirmed using clinical, laboratory, and radiological findings. The DNI was determined at presentation. The clinical outcome was all-cause mortality within 28 days of emergency department admission.

RESULTS

We included 447 patients in this study. The multivariate Cox regression model demonstrated that higher DNI values on ED admission were significantly associated with short-term mortality (hazard ratio, 1.107; 95% confidence interval, 1.042-1.177). The optimal cut-off DNI value, measured on ED admission, was 3.0%; this value was associated with an increased hazard of 28-day mortality following PE (HR, 7.447; 95% CI, 4.183-13.366; P < 0.001) CONCLUSION:: The DNI value, obtained as part of the complete blood count analysis, can be easily determined without additional burdens of cost or time. A high DNI is useful as a marker to predict 28-day mortality in patients with acute PE.

Urokinase Attenuates Pulmonary Thromboembolism in an Animal Model by Inhibition of Inflammatory Response

Inflammatory response is an important determining factor for the mortality of patients with pulmonary thromboembolism. Inflammatory mediators can promote thrombus formation and increase hemodynamic instability. Urokinase is a commonly used drug for the treatment of PTE. The effect of urokinase on inflammatory reaction in PTE is still unclear. Our study was aimed at evaluating the effects of the intervention of urokinase and urokinase combined with aspirin in PTE rats. Results revealed that a large amount of infiltrated inflammatory cells surrounding the bronchus, vessels, and pulmonary mesenchyme, and even pulmonary abscess were observed in the PTE rats. CX3CL1/CX3CR1 coexpression, CX3CL1/NF-κB coexpression, and TXA2 were significantly higher. After treatment with urokinase, pulmonary embolism was partially dissolved and inflammatory cell infiltration was significantly reduced. The expression of TNNI3, BNP, D2D, PASP, PADP, PAMP, and TXA2, as well as CX3CL1/CX3CR1 coexpression and CX3CL1/NF-κB coexpression were significantly lowered. Aspirin showed no synergistic action. Therefore, these findings suggested the occurrence of inflammation during the process of PTE in rats. Urokinase treatment reduced the inflammatory response.

White blood cell count and all-cause and cause-specific mortality in the Guangzhou biobank cohort study

Background

Several studies have shown positive associations between higher WBC count and deaths from all-causes, CHD, stroke and cancer among occidental populations or developed countries of Asia. No study on the association of WBC count with all-cause and cause-specific mortality in Chinese populations was reported. We studied this using prospective data from a large Chinese cohort.

Methods

We used prospective data from the Guangzhou Biobank Cohort Study (GBCS), a total of 29,925 participants in present study. A Cox proportional hazards regression model was used to estimate the hazard ratios (HR) and 95% confidence interval (CI).

Results

The hazard ratios (HR) for all-cause, CHD, and respiratory disease mortality for the highest decile of WBC count (women > 8.2 × 10⁹/L; men > 8.8 × 10⁹/L) was 1.83 (95% confidence interval (CI) 1.54, 2.17), 3.02 (95% CI 1.84, 4.98) and 2.52 (95% CI 1.49, 4.27), respectively, after adjusting for multiple potential confounders. The associations were similar when deaths during the first 2 years of follow-up were excluded. After further adjusting for pulmonary function, the highest decile of WBC count was associated with 90% higher risk of respiratory disease mortality (HR 1.90, 95% CI 1.08, 3.33). No evidence for an association between higher WBC count and cancer mortality was found. Sub-type analysis showed that only granulocyte count remained significantly predictive of all-cause, CHD, and respiratory disease mortality.

Conclusions

Elevated WBC, specifically granulocyte, count was associated with all-cause, CHD and respiratory mortality in southern Chinese. Further investigation is warranted to clarify whether decreasing inflammation would attenuate WBC count associated mortality.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-6073-6) contains supplementary material, which is available to authorized users.

The relation between international normalized ratio and mortality in acute pulmonary embolism: A retrospective study

BACKGROUND

Acute pulmonary embolism (PE) is a serious clinical disease characterized by a high mortality rate. The aim of this study was to assess the prognostic value of international normalized ratio (INR) in acute PE patients not on anticoagulant therapy.

METHODS

The study included 244 hospitalized acute PE patients who were not receiving previous anticoagulant therapy. Based on their 30-day mortality, patients were categorized as survivors or non-survivors. INR was measured during the patients' admission, on the same day as the diagnosis of PE but before anticoagulation started.

RESULTS

Thirty-day mortality occurred in 39 patients (16%). INR was higher in non-survivors than in survivors (1.3±0.4 vs 1.1±0.3, P=.003). In multivariate analysis, INR (HR: 3.303, 95% CI: 1.210-9.016, P=.020) was independently associated with 30-day mortality from PE. Inclusion of INR in a model with simplified pulmonary embolism severity index (sPESI) score improved the area under the receiver operating characteristics (ROC) curve from 0.736 (95% CI: 0.659-0.814) to 0.775 (95% CI: 0.701-0.849) (P=.028). Also, the addition of INR to sPESI score enhanced the net reclassification improvement (NRI=8.8%, P<.001) and integrated discrimination improvement (IDI=0.043, P=.027).

CONCLUSION

Elevated INR may have prognostic value for 30-day mortality in acute PE patients not on anticoagulation. Combining INR with sPESI score improved the predictive value for all-cause mortality. However, further large-scale studies are needed to confirm it's prognostic role.

WBC Associates with Readmission Following Cystectomy

Background: Radical cystectomy is associated with perioperative complication rates exceeding 50% in some series. Readmission rates are increasingly used as a surgical quality metric. White blood cell count is a crude surrogate for physiologic processes which may reflect postoperative complications leading to readmission. Objective: We assessed the association between final white blood cell count at discharge and risk of readmission following radical cystectomy. Methods: Records on 477 patients undergoing radical cystectomy from 2006-2013 were reviewed. Final white blood cell count was defined as the last documented value during index admission. Univariate analysis was performed using Fisher's exact, Wilcoxon rank sum test, and Spearman's coefficient tests where appropriate. Multivariable logistic regression models were used to test the associations between final white blood cell count and readmission. Results: 34% of patients were readmitted within 90 days of surgery. Amongst this cohort, a cutoff final white blood cell count of 9000/mm³ was identified, with a significantly higher proportion of patients with values >9000/mm³ experiencing readmission than those with values≤9000/mm³ (42% vs 28%, p = 0.004). Other perioperative variables associated with an increased readmission rate included initial hospital length of stay≤10 days, and receipt of a continent diversion. Following adjustment, final white blood cell count >9000/mm³ was associated with increased risk of readmission (OR 2.09, 95% CI 1.23-3.53, p = 0.006). Conclusions: Final white blood cell count is associated with hospital readmission following radical cystectomy. This metric may provide important guidance in discharge algorithms.

Recent Progress in Research on the Pathogenesis of Pulmonary Thromboembolism: An Old Story with New Perspectives

Pulmonary thromboembolism (PTE) is part of a larger clinicopathological entity, venous thromboembolism. It is also a complex, multifactorial disorder divided into four major disease processes including venous thrombosis, thrombus in transit, acute pulmonary embolism, and pulmonary circulation reconstruction. Even when treated, some patients develop chronic thromboembolic pulmonary hypertension. PTE is also a common fatal type of pulmonary vascular disease worldwide, but earlier studies primarily focused on the pathological changes in the blood component of the disease. With contemporary advances in molecular and cellular biology, people are becoming increasingly aware of coagulation pathways, the function of vascular smooth muscle cells, microparticles, and the inflammatory pathways that play key roles in PTE. Combined hypoxia and immune research has revealed that PTE should be regarded as a class of complex diseases caused by multiple factors involving the vascular microenvironment and vascular cell dysfunction.

Relation between lymphocyte to monocyte ratio and short-term mortality in patients with acute pulmonary embolism

INTRODUCTION

The relationship between inflammation and mortality after acute pulmonary embolism (APE) has previously been investigated with different variables (platelet/lymphocyte ratio, etc).

OBJECTIVES

We investigated the predictive value of lymphocyte to monocyte ratio (LMR) for mortality in first 30 days after APE.

METHODS

The study population included 264 APE patients of which 230 patients were survivors, 34 patients were non-survivors.

RESULTS

LMR was significantly lower in non-survivors after APE (P < .001). Neutrophil-to-lymphocyte ratio (NLR) was higher in non-survivors after APE (P < .001). Platelet-to-lymphocyte (PLR) had no significance between both groups (P: .241). Simplified pulmonary embolism severity index and LMR were independent predictors of mortality in patients with APE (P: .008 and P: .001, respectively).

CONCLUSION

LMR as a novel marker of inflammation seemed to be an independent predictor of short-term mortality in patients with APE.