A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis

Development and validation of an integrated model for the diagnosis of liver cirrhosis with portal vein thrombosis combined with endoscopic characters and blood biochemistry data: a retrospective propensity score matching (PSM) cohort study

BACKGROUND

Liver cirrhosis complicated by portal vein thrombosis (PVT) is a fatal complication with no specific manifestations but often misdiagnosed, it crucially increases the mortality worldwide. This study aimed to identify risk factors and establish a predictive model for diagnosis of venous thrombosis clinical by routine blood tests and endoscopic characteristics.

METHODS

Patients from Gansu Provincial Hospital from October 2019 to December 2023 were enrolled. The retrospective modelling cohort was screened by propensity score matching (PSM) at a 1:1 ratio from the baseline characteristics before endoscopic diagnosis. Variables were collected from blood test and endoscopic signs using machine learning method (ML). Logistic regression determined risk factors. The predictive performance was evaluated by receiver operation curve (ROC), calibration curve, clinical decision analysis (DCA) and influence curve (CIC). Furthermore, external cohort was used for validation, an online nomogram was established.

RESULTS

A total of 1,058 patients were enrolled, and 470 patients were included after PSM 1: 1. The model identified 7 factors, including splenectomy, blood urea nitrogen (BUN), serum sodium, activated partial thromboplastin time (APTT), thrombin time (TT), D-dimer, and degree of oesophageal varices. The area under the curve (AUC) was 0.907 (95% CI, 0.877-0.931). The calibration curve, decision and clinical impact curves showed the model demonstrated a good predictive accuracy and clinical benefits. The validation got an AUC of 0.890 (95% CI, 0.831-0.934), A nomogram tool was finally established for application.

CONCLUSION

Blood test combined endoscopic characters could preliminarily predict the liver cirrhosis with portal vein thrombosis for cirrhotic patients undergoing endoscopic examination.

Nomogram model for identifying portal vein thrombosis in patients with decompensated cirrhosis

BACKGROUND AND AIMS

Von Willebrand factor (vWF) plays a key role in hemostasis and is reported to be related to the outcome of advanced chronic liver disease. The present study aimed to investigate the relationship between vWF and other potential variables and portal vein thrombosis (PVT) in patients with decompensated cirrhosis.

METHODS

Consecutive cirrhotic patients with gastroesophageal varices were admitted to our hospital between January 2020 and September 2022. Patients were prospectively recruited and divided into PVT and non-PVT groups. We collected clinical tests, biochemical tests, coagulation tests, and hemostatic protein profile data to explore the associated factors of PVT.

RESULTS

A total of 128 patients were enrolled including 60 patients with PVT and 68 patients without PVT. Plasma levels of vWF [odds ratio (OR) = 1.015, 95% confidence interval (CI): 1.005-1.025, P = 0.005], D-dimer (OR = 1.967, 95% CI: 1.141-3.389, P = 0.015), and decreased portal vein velocity (PVV) (OR = 0.852, 95% CI: 0.769-0.944, P = 0.002) were the variables independently associated with the existence of PVT. Area under the curve (AUC) analyses for vWF, D-dimer, and PVV were 0.779, 0.848, and 0.832, respectively. A nomogram model was established involving the three parameters, and the AUC was 0.919 (95% CI: 0.869-0.969). In the internal validation using bootstrap, the AUC was 0.919 (95% CI: 0.868-0.970).

CONCLUSION

Higher vWF levels were related to PVT in patients with decompensated cirrhosis, indicating that vWF might serve as a relevant factor for PVT, and a nomogram containing vWF, D-dimer, and PVV could be an important tool for PVT identification in cirrhotic patients.

The relationship between complete blood cell count-derived inflammatory biomarkers and erectile dysfunction in the United States

Erectile dysfunction(ED), a prevalent condition within the male genitourinary system, significantly impairs the quality of life for affected men. Although certain inflammatory indicators, such as the neutrophil-to-lymphocyte ratio(NLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index(SII), have been linked to ED, the correlation with other markers and their impact on survival outcomes in ED patients remain largely unexplored. This research aims to investigate the correlation between inflammatory biomarkers derived from a complete blood cell count(CBC) and the occurrence of ED. Data regarding ED were extracted from the 2001-2004 National Health and Nutrition Examination Survey(NHANES), and mortality events were ascertained through the National Death Index up to December 2019. The CBC-derived inflammatory indicators assessed in this study included the NLR, derived neutrophil-to-lymphocyte ratio(dNLR), monocyte-to-lymphocyte ratio(MLR), neutrophil-monocyte to lymphocyte ratio (NMLR), SIRI, and SII. The prognostic significance of these CBC-derived inflammatory indicators was evaluated using random survival forests(RSF) analysis. Our study encompassed a cohort of 3,639 individuals, among whom 1,031 were diagnosed with ED. Among individuals with ED, 610 experienced all-cause mortality. Following adjustment for all confounding variables, it was observed that elevated levels of NLR(OR = 1.09, 95%CI 1.00-1.19, p = 0.021), MLR (OR = 2.97, 95% CI 1.18-7.50, p = 0.01), NMLR(OR = 1.10, 95% CI 1.01-1.11, p = 0.006), and SIRI(OR = 1.11, 95% CI 1.01-1.22, p = 0.017) were associated with an increased prevalence of ED. Among participants with ED, those in the highest quartile of NLR(HR = 1.06, 95% CI 1.00-1.11, p = 0.032), MLR(HR = 2.00, 95% CI 1.33-3.01, p < 0.001), NMLR (HR = 1.06, 95% CI 1.01-1.11, p = 0.024), and SII(HR = 1.00, 95% CI 1.00-1.00, p = 0.015) exhibited an elevated risk of all-cause mortality compared to those in the lower levels of inflammation-derived indicators. Our research suggests that, compared with other inflammatory markers derived from complete blood cell count, MLR has the highest predictive power for the prevalence of ED and all-cause mortality in these populations.

The Imbalance of Homeostasis in Neutrophil Extracellular Traps is Associated with Portal Vein Thrombosis in Patients with Decompensated Cirrhosis

Background and Aims

Portal vein thrombosis (PVT) is a challenging complication in liver cirrhosis, with no currently available sensitive diagnostic markers. This study aimed to investigate the potential of neutrophil extracellular traps (NETs) and Deoxyribonuclease (DNase) as diagnostic indicators for PVT in chronic hepatitis B (CHB)-related decompensated cirrhosis.

Methods

We analyzed 145 CHB-related decompensated cirrhosis patients from the Ditan study and 33 from the Changgung validation study, categorizing them based on PVT occurrence. Plasma samples were assessed for NET markers, including cell-free DNA (cfDNA) and histone-DNA complexes, along with DNase activity.

Results

PVT patients exhibited elevated levels of cfDNA and histone-DNA complexes, and reduced DNase activity. This pattern persisted regardless of hepatocellular carcinoma (HCC) status. Histone-DNA levels, DNase activity, and hemoglobin were identified as independent risk factors for PVT. Receiver operating characteristic curve analysis revealed that high histone-DNA levels may serve as a potential diagnostic marker for PVT, with an area under the curve of 0.8628 in the Ditan study and 0.7521 in the Changgung study. When combined with cfDNA and DNase activity, the area under the curve improved to 0.8774 in the Ditan study and 0.7975 in the Changgung study.

Conclusions

Imbalances in NET homeostasis are associated with PVT in CHB-related decompensated cirrhosis, including cases involving HCC. Histone-DNA complexes, a significant risk factor for PVT, show potential as a diagnostic marker for PVT in decompensated cirrhosis, particularly in HBV-related HCC.

Predictive Value of Systemic Immune Inflammation Index, Aggregate Index of Systemic Inflammation, and Systemic Inflammation Response Index in Lower Extremity Deep Venous Thrombosis Following Severe Trauma

OBJECTIVES

Venous thromboembolism is a highly prevalent condition after polytrauma, and recognized as an important factor contributing to poor prognosis. The aim of this study was to investigate the risk factors for lower extremity deep venous thrombosis (LEDVT) in a severely traumatized population and to evaluate their predictive value for LEDVT.

METHODS

This was a retrospective, single-center observational study. All subjects were severely traumatized patients who were admitted to the Traumatic Intensive Care Unit from January 2021 to May 2024. Based on Doppler ultrasound findings of both lower extremities from the time of injury to 30 days post-injury, patients who developed LEDVT were enrolled in the LEDVT group, and those who did not develop LEDVT were enrolled in the NLEDVT group. Demographic, clinical, and laboratory data were collected upon admission. Multivariable logistic regression analysis was performed to identify risk factors for LEDVT. Receiver operating characteristic (ROC) curve was used to evaluate the overall fit of the final model.

RESULTS

There were 56 patients enrolled in the LEDVT group and 81 patients in the NLEDVT group.Age, Aggregate Index of Systemic Inflammation (AISI), Systemic Inflammation Response Index (SIRI), ICU length of stay, and albumin were identified as independent risk factors for LEDVT (all P < 0.05). The area under their ROC curves were 0.604, 0.657, 0.694, 0.668, and 0.405, respectively. Combined model for early clinical prediction of LEDVT in severely traumatized patients by age, SIRI, AISI, and albumin resulted in an area under the ROC curve of 0.805 (95%CI: 0.73-0.88, SE = 0.037).

CONCLUSIONS

The combination of age, SIRI, AISI, and albumin has a predictive value for LEDVT in severely traumatized patients.

Construction and verification of a machine learning-based prediction model of deep vein thrombosis formation after spinal surgery

BACKGROUND

Deep vein thromboembolism (DVT) is a common postoperative complication with high morbidity and mortality rates. However, the safety and effectiveness of using prophylactic anticoagulants for preventing DVT after spinal surgery remain controversial. Hence, it is crucial to predict whether DVT occurs in advance following spinal surgery. The present study aimed to establish a machine learning (ML)-based prediction model of DVT formation following spinal surgery.

METHODS

We reviewed the medical records of patients who underwent elective spinal surgery at the Third Affiliated Hospital of Zunyi Medical University (TAHZMU) from January 2020 to December 2022. We ultimately selected the clinical data of 500 patients who met the criteria for elective spinal surgery. The Boruta-SHAP algorithm was used for feature selection, and the SMOTE algorithm was used for data balance. The related risk factors for DVT after spinal surgery were screened and analyzed. Five ML algorithm models were established. The data of 150 patients treated at the Affiliated Hospital of Zunyi Medical University (AHZMU) from July 2023 to October 2023 were used for external verification of the model. The area under the curve (AUC), geometric mean (G-mean), sensitivity, accuracy, specificity, and F1 score were used to evaluate the performance of the models.

RESULTS

The results revealed that activated partial thromboplastin time (APTT), age, body mass index (BMI), preoperative serum creatinine (Crea), anesthesia time, rocuronium dose, and propofol dose were the seven important characteristic variables for predicting DVT after spinal surgery. Among the five ML models established in this study, the random forest classifier (RF) showed superior performance to the other models in the internal validation set.

CONCLUSION

Seven preoperative and intraoperative variables were included in our study to develop an ML-based predictive model for DVT formation following spinal surgery, and this model can be used to assist in clinical evaluation and decision-making.

Clinical characteristics and predictors of benign portal vein thrombosis in patients with liver cirrhosis: A retrospective single-center study

Portal vein thrombosis (PVT) is a common thrombotic complication of cirrhosis. It can lead to variceal bleeding and bowel ischemia and also complicate liver transplantation. Identifying the possible risk factors associated with PVT can aid in identifying patients at high risk, enabling their screening and potentially preventing PVT through the rational use of anticoagulants. This study focuses on examining the clinical characteristics of PVT in cirrhotic patients and identifying the clinical and biochemical factors that are linked to the development of PVT. Consecutive hospitalized cirrhotic patients between 2015 and 2023 were identified through the hospital's computerized medical records based on the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) coding system and retrospectively analyzed. 928 individuals were included in this study; 783 (84.3%) without PVT and 145 (15.7%) with benign PVT. Hepatitis B virus (HBV) was significantly more common in the PVT group (P-value = .02), while alcohol and primary sclerosing cholangitis (PSC) were less common in this group (P-value = .01 and .02, respectively). Hepatocellular carcinoma (HCC) (P-value < .01), ascites (P-value = .01), and spontaneous bacterial peritonitis (SBP) (P-value = .02) were more common in the PVT group. Patients with PVT had a higher international normalized ratio (INR) level (P-value = .042) and lower plasma albumin (P-value = .01). No differences were identified in white blood cell, hemoglobin, platelet, and bilirubin levels. However, patients with PVT had higher model for end-stage liver disease (MELD) (P-value = .01) and Child-Pugh scores (P-value = .03). This study demonstrated a higher likelihood of PVT presence in cirrhotic patients with advanced age, HBV, and HCC, along with ascites, SBP, splenomegaly, hypoalbuminemia, elevated INR, and a higher MELD score. Nevertheless, additional research endeavors are necessary to accurately ascertain and validate supplementary risk factors within a broader demographic.

Nomogram based on lymphocyte-associated inflammatory indexes predicts portal vein thrombosis after splenectomy with esophagogastric devascularization

OBJECTIVE

The relationship between lymphocyte-associated inflammatory indices and portal vein thrombosis (PVT) following splenectomy combined with esophagogastric devascularization (SED) is currently unclear. This study aims to investigate the association between these inflammatory indices and PVT, and to develop a nomogram based on these indices to predict the risk of PVT after SED, providing an early warning tool for clinical practice.

METHODS

We conducted a retrospective analysis of clinical data from 131 cirrhotic patients who underwent SED at Lanzhou University's Second Hospital between January 2014 and January 2024. Independent risk factors for PVT were identified through univariate and multivariate logistic regression analyses, and the best variables were selected using the Akaike Information Criterion (AIC) to construct the nomogram. The model's predictive performance was assessed through receiver operating characteristic (ROC), calibration, decision, and clinical impact curves, with bootstrap resampling used for internal validation.

RESULTS

The final model incorporated five variables: splenic vein diameter (SVD), D-Dimer, platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and red cell distribution width-to-lymphocyte ratio (RLR), achieving an area under the curve (AUC) of 0.807, demonstrating high predictive accuracy. Calibration and decision curves demonstrated good calibration and significant clinical benefits. The model exhibited good stability through internal validation.

CONCLUSION

The nomogram model based on lymphocyte-associated inflammatory indices effectively predicts the risk of portal vein thrombosis after SED, demonstrating high accuracy and clinical utility. Further validation in larger, multicenter studies is needed.

Portal vein thrombosis: diagnosis, management, and endpoints for future clinical studies

Portal vein thrombosis (PVT) refers to the development of a non-malignant obstruction of the portal vein, its branches, its radicles, or a combination. This Review first provides a comprehensive overview of all aspects of PVT, namely the specifics of the portal venous system, the risk factors for PVT, the pathophysiology of portal hypertension in PVT, the interest in non-invasive tests, as well as therapeutic approaches including the effect of treating risk factors for PVT or cause of cirrhosis, anticoagulation, portal vein recanalisation by interventional radiology, and prevention and management of variceal bleeding in patients with PVT. Specific issues are also addressed including portal cholangiopathy, mesenteric ischaemia and intestinal necrosis, quality of life, fertility, contraception and pregnancy, and PVT in children. This Review will then present endpoints for future clinical studies in PVT, both in patients with and without cirrhosis, agreed by a large panel of experts through a Delphi consensus process. These endpoints include classification of portal vein thrombus extension, classification of PVT evolution, timing of assessment of PVT, and global endpoints for studies on PVT including clinical outcomes. These endpoints will help homogenise studies on PVT and thus facilitate reporting, comparison between studies, and validation of future studies and trials on PVT.

Relationships between blood chromium exposure and liver injury: Exploring the mediating role of systemic inflammation in a chromate-exposed population

Hexavalent chromium and its compounds are prevalent pollutants, especially in the work environment, pose a significant risk for multisystem toxicity and cancers. While it is known that chromium accumulation in the liver can cause damage, the dose-response relationship between blood chromium (Cr) and liver injury, as well as the possible potential toxic mechanisms involved, remains poorly understood. To address this, we conducted a follow-up study of 590 visits from 305 participants to investigate the associations of blood Cr with biomarkers for liver injury, including serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and direct bilirubin (DBIL), and to evaluate the mediating effects of systemic inflammation. Platelet (PLT) and the platelet-to-lymphocyte ratio (PLR) were utilized as biomarkers of systemic inflammation. In the linear mixed-effects analyses, each 1-unit increase in blood Cr level was associated with estimated effect percentage increases of 0.82% (0.11%, 1.53%) in TBIL, 1.67% (0.06%, 3.28%) in DBIL, 0.73% (0.04%, 1.43%) in ALT and 2.08% (0.29%, 3.87%) in AST, respectively. Furthermore, PLT mediated 10.04%, 11.35%, and 10.77% increases in TBIL, DBIL, and ALT levels induced by chromate, respectively. In addition, PLR mediated 8.26% and 15.58% of the association between blood Cr and TBIL or ALT. These findings shed light on the mechanisms underlying blood Cr-induced liver injury, which is partly due to worsening systemic inflammation.

The relationship between complete blood cell count-derived inflammatory biomarkers and benign prostatic hyperplasia in middle-aged and elderly individuals in the United States: Evidence from NHANES 2001-2008

BACKGROUND

Benign prostatic hyperplasia (BPH) is a common health disorder of the male genitourinary system with a high prevalence, especially among middle-aged and older adults, which seriously affects men's quality of life. Inflammatory markers derived from complete blood cell count (CBC) have previously been considered a prognostic indicator for various diseases, but little is known about their relationship with BPH. This study evaluated the relationship between complete blood cell count (CBC)-derived inflammatory biomarkers and BPH.

METHODS

Data for this cross-sectional study were gathered from the National Health and Nutrition Examination Survey (NHANES) between 2001 and 2008. Using multiple logistic regressions, the study examined the association between benign prostatic hyperplasia(BPH) and Inflammatory biomarkers derived from blood cell counts such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), Systemic Inflammatory Response Index (SIRI) and Systemic Immunoinflammatory Index (SII).

RESULTS

3,919 participants were included, with a median age of 61.00 (52.00-71.00) years old. Among them, 609 participants had benign prostatic hyperplasia, with a prevalence of 15.54%. Upon accounting for confounding factors, the study revealed a positive correlation between the plurality of BPH PLR and SII. However, MLR, NLR, and SIRI did not significantly correlate with the prevalence of BPH (p>0.05). In contrast to the lowest quartile, higher quartiles of PLR (OR = 1.93[1.38-2.69]) and SII (OR = 1.71[1.22-2.40]) were linked to an elevated risk of BPH. Interaction tests showed that age, body mass index, hypertension, diabetes, smoking, and drinking had no significant effect on this positive correlation (p for interaction>0.05). In addition, we found a roughly linear association between SII, PLR, and BPH using smoothed curve fitting.

CONCLUSIONS

According to our research, high levels of PLR and SII are positively linked with an increased risk of BPH in middle-aged and elderly individuals in the United States. The results compensate for previous studies that still need to be validated with larger prospective cohorts.

Predictive model for non-malignant portal vein thrombosis associated with cirrhosis based on inflammatory biomarkers

BACKGROUND

Portal vein thrombosis (PVT), a complication of liver cirrhosis, is a major public health concern. PVT prediction is the most effective method for PVT diagnosis and treatment.

AIM

To develop and validate a nomogram and network calculator based on clinical indicators to predict PVT in patients with cirrhosis.

METHODS

Patients with cirrhosis hospitalized between January 2016 and December 2021 at the First Hospital of Lanzhou University were screened and 643 patients with cirrhosis who met the eligibility criteria were retrieved. Following a 1:1 propensity score matching 572 patients with cirrhosis were screened, and relevant clinical data were collected. PVT risk factors were identified using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression analysis. Variance inflation factors and correlation matrix plots were used to analyze multicollinearity among the variables. A nomogram was constructed to predict the probability of PVT based on independent risk factors for PVT, and its predictive performance was verified using a receiver operating characteristic curve (ROC), calibration curves, and decision curve analysis (DCA). Finally, a network calculator was constructed based on the nomograms.

RESULTS

This study enrolled 286 cirrhosis patients with PVT and 286 without PVT. LASSO analysis revealed 13 variables as strongly associated with PVT occurrence. Multivariate logistic regression analysis revealed nine indicators as independent PVT risk factors, including etiology, ascites, gastroesophageal varices, platelet count, D-dimer, portal vein diameter, portal vein velocity, aspartate transaminase to neutrophil ratio index, and platelet-to-lymphocyte ratio. LASSO and correlation matrix plot results revealed no significant multicollinearity or correlation among the variables. A nomogram was constructed based on the screened independent risk factors. The nomogram had excellent predictive performance, with an area under the ROC curve of 0.821 and 0.829 in the training and testing groups, respectively. Calibration curves and DCA revealed its good clinical performance. Finally, the optimal cutoff value for the total nomogram score was 0.513. The sensitivity and specificity of the optimal cutoff values were 0.822 and 0.706, respectively.

CONCLUSION

A nomogram for predicting PVT occurrence was successfully developed and validated, and a network calculator was constructed. This can enable clinicians to rapidly and easily identify high PVT risk groups.

Identification and Analysis of PANoptosis-Related Genes in Sepsis-Induced Lung Injury by Bioinformatics and Experimental Verification

Purpose

Sepsis-induced lung injury (SLI) is a serious complication of sepsis. PANoptosis, a novel form of inflammatory programmed cell death that is not yet to be fully investigated in SLI. Our research aims to screen and validate the signature genes of PANoptosis in SLI by bioinformatics and in vivo experiment.

Methods

SLI-related datasets were downloaded from NCBI Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) of SLI were identified and intersected with the PANoptosis gene set to obtain DEGs related to PANoptosis (SPAN_DEGs). Then, Protein-Protein Interaction (PPI) network and functional enrichment analysis were conducted based on SPAN_DEGs. SVM-REF, LASSO and RandomForest three algorithms were combined to identify the signature genes. The Nomogram and ROC curves were performed to predict diagnostic value. Immune infiltration analysis, correlation analysis and differential expression analysis were used to explore the immunological characterization, correlation and expression levels of the signature genes. Finally, H&E staining and qRT-PCR were conducted for further verification in vivo experiment.

Results

Twenty-four SPAN_DEGs were identified by intersecting 675 DEGs with the 277 PANoptosis genes. Four signature genes (CD14, GSDMD, IL1β, and FAS) were identified by three machine learning algorithms, which were highly expressed in the SLI group, and had high diagnostic value in the diagnostic model. Moreover, immune infiltration analysis showed that most immune cells and immune-related functions were higher in the SLI group than those in the control group and were closely associated with the signature genes. Finally, it was confirmed that the cecum ligation and puncture (CLP) group mice showed significant pathological damage in lung tissues, and the mRNA expression levels of CD14, IL1β, and FAS were significantly higher than the sham group.

Conclusion

CD14, FAS, and IL1β may be the signature genes in PANoptosis to drive the progression of SLI and involved in regulating immune processes.

Analysis of the association between urinary glyphosate exposure and fatty liver index: a study for US adults

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is a prevalent condition that often goes unrecognized in the population, and many risk factors for this disease are not well understood. Glyphosate (GLY) is one of the most commonly used herbicides worldwide, and exposure to this chemical in the environment is significant. However, studies exploring the association between GLY exposure and NAFLD remain limited. Therefore, the aim of this study was to assess the association between urinary glyphosate (uGLY) level and fatty liver index (FLI) using data from the National Health and Nutrition Examination Survey (NHANES), which includes uGLY measurements.

METHODS

The log function of uGLY was converted and expressed as Loge(uGLY) with the constant "e" as the base and used for subsequent analysis. The association between Loge(uGLY) (the independent variable) level and FLI (the dependent variable) was assessed by multiple linear regression analysis. Smoothing curve fitting and a generalized additive model were used to assess if there was a nonlinear association between the independent and the dependent variables. A subgroup analysis was used to find susceptible individuals of the association between the independent variable and the dependent variable.

RESULTS

A final total of 2238 participants were included in this study. Participants were categorized into two groups (< -1.011 and ≥ -1.011 ng/ml) based on the median value of Loge(uGLY). A total of 1125 participants had Loge(uGLY) levels ≥ -1.011 ng/ml and higher FLI. The result of multiple linear regression analysis showed a positive association between Loge(uGLY) and FLI (Beta coefficient = 2.16, 95% CI: 0.71, 3.61). Smoothing curve fitting and threshold effect analysis indicated a linear association between Loge(uGLY) and FLI [likelihood ratio(LLR) = 0.364]. Subgroup analyses showed that the positive association between Loge(uGLY) and FLI was more pronounced in participants who were female, aged between 40 and 60 years, had borderline diabetes history, and without hypertension history. In addition, participants of races/ethnicities other than (Mexican American, White and Black) were particularly sensitive to the positive association between Loge(uGLY) and FLI.

CONCLUSIONS

A positive linear association was found between Loge(uGLY) level and FLI. Participants who were female, 40 to 60 years old, and of ethnic backgrounds other than Mexican American, White, and Black, deserve more attention.

Relationship between Neutrophil/Lymphocyte Ratio (NLR), Platelet/Lymphocyte Ratio (PLR) and Thrombosis in Patients with Portal Vein Thrombosis (PVT) without Acquired Risk Factor for Thrombosis

BACKGROUND

Inflammation occurring after vascular endothelial damage plays a role in thrombus formation. Changes in various blood parameters that develop after the inflammatory condition can be used as a marker to predict thrombus.

AIM

This study aimed to investigate the relationship between the neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and portal vein thrombosis (PVT).

MATERIALS AND METHODS

After applying the exclusion and inclusion criteria to the patients diagnosed with PVT and followed up in our center between January 2006 and May 2018, a total of 38 patients without acquired risk factors for the development of PVT and 52 healthy controls were included in the study. Clinical features and NLR and PLR at diagnosis were evaluated.

RESULTS

NLR and PLR values were detected to be significantly higher in patients diagnosed with PVT compared to the control group (P < 0.001 for NLR, P < 0.001 for PLR). Findings were as follows: In acute PVT patients for NLR = 3.645 (area under the receiver operating characteristic (AUROC) 0.886, sensitivity 69.2%, specificity 96.2%, P < 0.001), for PLR = 196.24 (AUROC 0.754, sensitivity 53.2%, specificity 96.2%, P = 0.005), while in chronic PVT patients, for NLR = 3.645 (AUROC 0.744, sensitivity 40%, specificity 96.2%, P = 0.001), and for PLR = 195.93 (AUROC 0.715, sensitivity 44%, specificity 96.2%, P = 0.002).

CONCLUSION

NLR and PLR were associated with the diagnosis of PVT. In PVT patients, NLR and PLR values were observed to be significantly higher than the control group. In our study, the relationship between NLR and PLR in patients with noncirrhotic, nonmalignant PVT without acquired risk factors for thrombosis was shown for the first time.

Quantitative CT parameters combined with preoperative systemic inflammatory markers for differentiating risk subgroups of thymic epithelial tumors

BACKGROUND

Thymic epithelial tumors (TETs) are the most common primary neoplasms of the anterior mediastinum. Different risk subgroups of TETs have different prognosis and therapeutic strategies, therefore, preoperative identification of different risk subgroups is of high clinical significance. This study aims to explore the diagnostic efficiency of quantitative computed tomography (CT) parameters combined with preoperative systemic inflammatory markers in differentiating low-risk thymic epithelial tumors (LTETs) from high-risk thymic epithelial tumors (HTETs).

METHODS

74 Asian patients with TETs confirmed by biopsy or postoperative pathology between January 2013 and October 2022 were collected retrospectively and divided into two risk subgroups: LTET group (type A, AB and B1 thymomas) and HTET group (type B2, B3 thymomas and thymic carcinoma). Statistical analysis were performed between the two groups in terms of quantitative CT parameters and preoperative systemic inflammatory markers. Multivariate logistic regression analysis was used to determine the independent predictors of risk subgroups of TETs. The area under curve (AUC) and optimal cut-off values were calculated by receiver operating characteristic (ROC) curves.

RESULTS

47 TETs were in LTET group, while 27 TETs were in HTET group. In addition to tumor size and CT value of the tumor on plain scan, there were statistical significance comparing in CT value of the tumor on arterial phase (CTv-AP) and venous phase (CTv-VP), and maximum enhanced CT value (CEmax) of the tumor between the two groups (for all, P < 0.05). For systemic inflammatory markers, HTET group was significantly higher than LTET group (for all, P < 0.05), including platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII). Multivariate logistic regression analysis showed that NLR (odds ratio [OR] = 2.511, 95% confidence interval [CI]: 1.322-4.772, P = 0.005), CTv-AP (OR = 0.939, 95%CI: 0.888-0.994, P = 0.031) and CTv-VP (OR = 0.923, 95%CI: 0.871-0.979, P = 0.008) were the independent predictors of risk subgroups of TETs. The AUC value of 0.887 for the combined model was significantly higher than NLR (0.698), CTv-AP (0.800) or CTv-VP (0.811) alone. The optimal cut-off values for NLR, CTv-AP and CTv-VP were 2.523, 63.44 Hounsfeld Unit (HU) and 88.29HU, respectively.

CONCLUSIONS

Quantitative CT parameters and preoperative systemic inflammatory markers can differentiate LTETs from HTETs, and the combined model has the potential to improve diagnostic efficiency and to help the patient management.

Diagnostic Prediction of portal vein thrombosis in chronic cirrhosis patients using data-driven precision medicine model

BACKGROUND

Portal vein thrombosis (PVT) is a significant issue in cirrhotic patients, necessitating early detection. This study aims to develop a data-driven predictive model for PVT diagnosis in chronic hepatitis liver cirrhosis patients.

METHODS

We employed data from a total of 816 chronic cirrhosis patients with PVT, divided into the Lanzhou cohort (n = 468) for training and the Jilin cohort (n = 348) for validation. This dataset encompassed a wide range of variables, including general characteristics, blood parameters, ultrasonography findings and cirrhosis grading. To build our predictive model, we employed a sophisticated stacking approach, which included Support Vector Machine (SVM), Naïve Bayes and Quadratic Discriminant Analysis (QDA).

RESULTS

In the Lanzhou cohort, SVM and Naïve Bayes classifiers effectively classified PVT cases from non-PVT cases, among the top features of which seven were shared: Portal Velocity (PV), Prothrombin Time (PT), Portal Vein Diameter (PVD), Prothrombin Time Activity (PTA), Activated Partial Thromboplastin Time (APTT), age and Child-Pugh score (CPS). The QDA model, trained based on the seven shared features on the Lanzhou cohort and validated on the Jilin cohort, demonstrated significant differentiation between PVT and non-PVT cases (AUROC = 0.73 and AUROC = 0.86, respectively). Subsequently, comparative analysis showed that our QDA model outperformed several other machine learning methods.

CONCLUSION

Our study presents a comprehensive data-driven model for PVT diagnosis in cirrhotic patients, enhancing clinical decision-making. The SVM-Naïve Bayes-QDA model offers a precise approach to managing PVT in this population.

Naples prognostic score as a novel prognostic prediction indicator in adult asthma patients: A population-based study

Objective

This study was to evaluate the prognostic value of the Naples prognostic score (NPS) in adult patients with asthma.

Methods

Data on 44 601 participants from the 1999-2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR), and participants were divided into 3 groups. Self-administered questionnaires were used to collect information on asthma, and mortality was identified using the National Death Index through December 31, 2019. Multiple logistic regressions were used to analyze the relationship between NPS and its components and the prevalence of asthma. Kaplan-Meier survival analysis, Cox proportional regressions, and the random survival forest (RSF) were used to assess the significance of NPS and its components in predicting all-cause and cause-specific (cardiovascular, cancer, and respiratory diseases) mortality in asthma patients.

Results

The mean age of the participants was 47.59 ± 0.18 years, and 48.47% were male. The prevalence of asthma was 13.11%. The participants were categorized into 3 groups: 8306 (18.6%) participants were in group 0 (NPS 0), 30 842 (69.2%) were in group 1 (NPS 1 or 2), and 5453 (11.2%) were in group 2 (NPS 3 or 4). Compared to the reference group, participants in group 2 had a higher prevalence of asthma (odds ratio [OR] = 1.40 [1.24-1.56]). Participants with asthma in group 2 had a significantly increased risk of all-cause mortality (hazard ratio [HR] = 2.42 [1.67-3.50]), cardiovascular mortality (HR = 2.68 [1.50-4.79]), cancer mortality (HR = 2.10 [1.00-4.45]), and respiratory disease mortality (HR = 3.00 [1.18-7.65]) compared to those with asthma in group 0. The RSF showed that NPS had the highest value in predicting all-cause mortality in adults with asthma, compared to its components.

Conclusions

The results of this study indicate that the NPS is a powerful prognostic indicator for outcomes in asthma patients.

Assessment of portal system hemodynamics for the prediction of portal vein thrombosis in cirrhosis-A systematic review and meta-analysis

BACKGROUND

The pathogenesis of portal vein thrombosis (PVT) in cirrhosis is multifactorial, with altered hemodynamics being proposed as a possible contributor. The present systematic review was conducted to study the role of assessment of portal hemodynamics for the prediction of PVT in patients with cirrhosis.

METHODS

Three databases (Medline, Embase, and Scopus) were searched from inception to February 2023 for studies comparing portal venous system parameters in patients with cirrhosis developing PVT with those not. Results were presented as mean difference (MD) or odds ratio (OR) with their 95% confidence intervals (CIs).

RESULTS

A total of 31 studies (patients with cirrhosis: 19 studies, patients with cirrhosis undergoing splenectomy: 12 studies) were included. On pooling the data from multivariable analyses of the included studies, a larger portal vein diameter was a significant predictor of PVT in patients with cirrhosis without or with splenectomy with OR 1.74 (1.12-2.69) and OR 1.55 (1.26-1.92), respectively. On the other hand, a lower portal vein velocity (PVV) was a significant predictor of PVT in cirrhotics without or with splenectomy with OR 0.93 (0.91-0.96) and OR 0.71 (0.61-0.83), respectively. A PVV of <15 cm/s was the most commonly used cut-off for the prediction of PVT. Patients developing PVT also had a significantly higher splenic length, thickness, and splenic vein velocity.

CONCLUSION

The assessment of portal hemodynamic parameters at baseline evaluation in patients with cirrhosis may predict the development of PVT. Further studies are required to determine the optimal cut-offs for various parameters.

Global research on portal vein thrombosis and liver transplantation: A bibliometric and visualized study

In recent years, the association between portal vein thrombosis and liver transplantation has extensive attention from physicians worldwide. However, there is no available literature on bibliometric analysis in this research area. Herein, we aimed to conduct a bibliometric analysis to identify the hotspots and frontiers of research related to portal vein thrombosis and liver transplantation. Documents published between 2002 and 2022 were retrieved and downloaded from the Web of Science Core Collection database. VOSviewer was utilized to generate a visualization network map of authors, nations, institutions, journals, and keyword co-occurrence/clustering. Additionaly, CiteSpace was used to analyze the keywords with the strongest bursts. A total of 1272 articles and reviews were extracted from the database. The author Marco Senzolo published the largest number of papers. The United States was the most prolific country, and Hope-Bochon (France) was the top productive institution. Liver Transplantation was the most prolific journal in the field. The most commonly identified keywords in the study were cirrhosis, risk factors, portal vein thrombosis, and management, as revealed by the keyword co-occurrence analysis. It is suggested that patients with cirrhosis, portal vein thrombosis prevention, and management measures for portal vein thrombosis have been prominet topics in recent years. Furthermore, an analysis of keywords with the strongest citation bursts highlighted pediatric liver transplantation, direct oral anticoagulants, and nonalcoholic fatty liver disease as current research trends. Research in portal vein thrombosis and liver transplantation exhibits a general upward trend. The latest hot topics within this area of study involve pediatric patients and nonalcoholic fatty liver disease.

A practical nomogram for predicting amputation rates in acute compartment syndrome patients based on clinical factors and biochemical blood markers

BACKGROUND

Amputation is a serious complication of acute compartment syndrome (ACS), and predicting the risk factors associated with amputation remains a challenge for surgeons. The aim of this study was to analyze the risk factors for amputation in patients with ACS and develop a nomogram to predict amputation risk more accurately.

METHODS

The study population consisted of 143 patients (32 in the amputation group and 111 in the limb preservation group) diagnosed with ACS. LASSO and multivariate logistic regression were used to screen predictors and create a nomogram. The model's accuracy was assessed by receiver operating characteristic (ROC) curves, C-index, calibration curves, and decision curve analysis (DCA).

RESULTS

The predictors included cause of injury, vascular damage, shock, and fibrinogen in the nomogram. The C-index of the model was 0.872 (95% confidence interval: 0.854-0.962), and the C-index calculated by internal validation was 0.838. The nomogram's area under the curve (AUC) was 0.849, and the calibration curve demonstrated a high degree of agreement between the nomogram's predictions and actual observations. Additionally, the DCA indicated good clinical utility for the nomogram.

CONCLUSION

The risk of amputation in ACS patients is associated with the cause of injury, vascular damage, shock, and fibrinogen. Our nomogram integrating clinical factors and biochemical blood markers enables doctors to more conveniently predict the risk of amputation in patients with ACS.

Associations of complete blood cell count-derived inflammatory biomarkers with asthma and mortality in adults: a population-based study

Objective

This study aims to assess the associations of complete blood cell count (CBC)-derived inflammatory biomarkers with the prevalence of asthma and mortality.

Methods

Data was collected from the 1999-2018 National Health and Nutrition Examination Survey (NHANES). Mortality was identified using the National Death Index until December 31, 2019. The study analyzed the relationship between CBC-derived inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and systemic immune-inflammation index (SII), and the prevalence of asthma using multiple logistic regressions. To assess the significance of CBC-derived inflammatory biomarkers in predicting all-cause and respiratory disease mortality in asthma patients, Cox proportional regressions and the random survival forest (RSF) analysis were utilized.

Results

A total of 48,305 participants were included, with a mean age of 47.27 ± 0.18 years and 49.44% male. Among them, 6,403 participants had asthma, with a prevalence of 13.28%. The all-cause and respiratory disease deaths at a median follow-up of 8.2 (4.5, 12.8) years were 929 and 137 respectively. After adjusting for confounders, the prevalence of asthma was found to be positively associated with NLR, PLR, MLR, SIRI and SII. Compared to the lowest quartile, the highest quartile of NLR (HR=1.765 [1.378-2.262]), MLR (HR=1.717 [1.316-2.241]), SIRI (HR=1.796 [1.353-2.383]) and SII (HR=1.432 [1.141-1.797]) were associated with an increased risk of all-cause mortality. These associations were more pronounced in respiratory disease mortality of asthma patients. RSF analysis showed that MLR had the highest predictive value for all-cause and respiratory disease mortality in adults with asthma. The sensitivity analysis demonstrated the stability of our results.

Conclusion

The findings suggest that CBC-derived inflammatory biomarkers are associated with a higher risk of all-cause and respiratory disease mortality in adults with asthma.

Association between systemic immune-inflammation index and risk of lower extremity deep venous thrombosis in hospitalized patients: a 10-year retrospective analysis

Background

The systemic immune-inflammation index (SII), as a novel inflammatory biomarker, has recently attracted attention in cardiovascular disease research. However, the relationship between SII and risk of lower extremity deep venous thrombosis (LEDVT) remains unclear to date. Thus, this study aimed to explore the association in a large sample over a 10-year period (2012-2022).

Methods

All hospitalized patients undergoing lower extremity compression ultrasonography (CUS) examination were consecutively screened by searching our hospital information system database. The receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value for high and low SII group. Multivariate logistic regression analyses were performed to investigate the relationship between SII and LEDVT risk. Propensity score matching (PSM), subgroup and sensitivity analyses were also conducted. Moreover, restricted cubic spline (RCS) regression and two-piecewise linear regression models were used to assess the dose-response relationship between natural log transformed SII [ln(SII)] and risk of LEDVT.

Results

A total of 16,725 consecutive hospitalized patients were included, and 1,962 LEDVT events occurred. After adjusting for confounding factors, patients in the high SII group (≥ 574.2 × 10⁹/L) showed a 1.740-fold risk of LEDVT (95% CI: 1.546-1.959, P < 0.001), and elevated ln(SII) was associated with a 36.1% increased risk of LEDVT (95% CI: 1.278-1.449, P < 0.001). PSM, subgroup and sensitivity analyses confirmed the robustness of the association. A non-linear relationship was observed (P _non-linear< 0.001), with a threshold value of 5.6 × 10⁹/L for all LEDVT events. Above the threshold, each unit increase in ln(SII) had a 1.369-fold higher risk of LEDVT (95% CI: 1.271-1.475, P < 0.001). The association also existed in both distal and proximal LEDVT.

Conclusion

Elevated SII is significantly associated with an increased risk of LEDVT in hospitalized patients. Additionally, the association is non-linear and exhibit a threshold effect.

The value of NLR versus MLR in the short-term prognostic assessment of HBV-related acute-on-chronic liver failure

BACKGROUND

Systemic inflammation is associated with the development and progression of hepatitis B-associated acute-on-chronic liver failure (HBV-ACLF). The neutrophil-to-lymphocyte ratio (NLR) has been reported to be a prognostic biomarker in patients with HBV-ACLF. However, the role of the monocyte-to-lymphocyte ratio (MLR) as a prognostic inflammatory biomarker in multiple diseases is rarely mentioned in HBV-ACLF.

METHODS

We included a total of 347 patients with HBV-ACLF who met the definition of the Chinese Guidelines for the Diagnosis and Treatment of Liver Failure (2018 edition). Among them, 275 cases were included retrospectively, and 72 cases were collected prospectively. Clinical characteristics and laboratory examination data were collected from medical records within 24 h after diagnosis to calculate MLR and NLR levels, and lymphocyte subpopulation counts were collected in prospectively included patients.

RESULTS

Of the 347 patients with HBV-ACLF, 128 patients in the non-surviving group had a mean age of 48.87 ± 12.89 years; 219 patients in the survival group had a mean age of 44.80 ± 11.80 years and a combined 90-day mortality rate of 36.9%. The median MLR was higher in the non-survivors than in the survivors (0.690 vs 0.497, P < 0.001). MLR values were significantly associated with 90-day mortality in HBV-ACLF (OR 6.738; 95% CI 3.188-14.240, P < 0.001). The AUC for the predictive power of the combined MLR and NLR analysis for HBV-ACLF was 0.694, and the calculated MLR threshold was 4.495. In addition, in the analysis of peripheral blood lymphocyte subsets in HBV-ACLF, a significant decrease in the number of circulating lymphocytes was found in HBV-ACLF patients in the non-surviving group (P < 0.001), with a predominant decrease in the number of CD8 + T cells and no significant difference in the number of CD4 + T cells, B cells or NK cells.

CONCLUSION

Increased MLR values are associated with 90-day mortality in patients with HBV-ACLF, and the MLR may serve as a potential prognostic indicator for patients with HBV-ACLF. Decreased CD8 + T-cell counts may be associated with poor survival in patients with HBV-ACLF.

Portal vein thrombosis in liver cirrhosis: An updated overview

Portal vein thrombosis (PVT) is a frequent and severe complication in patients with cirrhosis; however, the pathophysiology of PVT needs to be better clarified. There are few significant predictive factors in clinical practice, and the impact of PVT on cirrhosis progression and its complications, such as gastrointestinal bleeding, hepatic encephalopathy, and hepatorenal syndrome, remains uncertain. In recent years, the understanding of the mechanisms of PVT has become more profound with the publication of related literature. Therefore, in this review, we aim to summarize the advanced progress in the epidemiology, hazards, risk factors, diagnosis and classification, and treatment of PVT to provide insight into clinical management.

Risk Factors of Portal Vein Thrombosis in Patients with Different Child-Pugh Classes Liver Cirrhosis

Aim: to evaluate the frequency of portal vein thrombosis (PVT) and build predictive models of the development of PVT for patients with liver cirrhosis (LC) of A and B/C classes by Child-Pugh.

Materials and methods. Research design is a case-control. The Case group included 130 patients with newly diagnosed PVT not caused by invasive hepatocellular carcinoma (HCC); 29 patients were assigned to class A, 101 patients were assigned to class B/C. From the database of cirrhotic patients without PVT 60 Controls for class A and 205 for B/C were selected using sratified randomization by sex, age and etiology of cirrhosis. The Mann-Whitney U-test and Pearson's chi-squared test were used to compare the groups. Odds ratios (OR) and 95 % confidence intervals (95 % CI) were calculated. Logistic regression models are constructed with the separation of the sample into training and test (0.7; 0.3). The operational characteristics of the models were calculated on the test sample; ROC analysis was carried out, the area under the ROC curve (AUC) was calculated.

Results. The overall frequency of PVT was 4.1 % (95 % CI 2.7-5.8 %) in class A and 10.4 % (95 % CI 8.5-12.5 %) class B/C. Patients with class A and B/C PVT differed from the corresponding controls by more severe portal hypertension: the frequency of bleeding / number of interventions on varices compared with the control were 41/45 % vs. 7/8 % (p < 0.001) for class A and 25.7/30.7 % vs. 16.1/16.1 % (p < 0.05) for class B/C, ascites frequency was 24 % vs. 8 % (p < 0.05) for class A and 89.1 % vs. 68.3 % (p < 0.001) for class B/C. The cutoff by the portal vein diameter was the same for both classes — 13.4 mm; the spleen length was similar and amounted 17.5 mm for class A, 17.1 mm for class B/C. Patients with PVT differed from the corresponding controls by neutrophil-to-lymphocyte ratio: class A 2.33 (1.82; 3.61) vs. 1.76 (1.37; 2.20), p < 0.01, class B/C 2.49 (1.93; 3.34) vs. 2.15 (1.49; 3.26), p < 0.05. Patients of class B/C had a higher incidence of newly diagnosed malignant tumors - 23.8% (primarily HCC that does not invade the portal vein), compared with control and cases of class A - 6.3 % and 3 % (p < 0.05), respectively. The best model for class A included variceal bleeding, ascites, portal vein diameter, absolute number of neutrophils, for class B — ascites, spleen length, portal vein diameter, malignant tumors / local factors; sensitivity, specificity, accuracy and AUC were 79.3 %, 90 %, 86.5 %, 0.897 and 73.3 %, 68.3 %, 69.9 %, 0.789, respectively.

Conclusion. Independently of the Child-Pugh class of LC, the main risk factor for PVT is severe portal hypertension.

Liver Cirrhosis Patients Homozygous for MTHFR C677T Develop Portal Vein Thrombosis 8 Years Earlier Than Wild Type

BACKGROUND AND AIM

Age at portal vein thrombosis (PVT) in liver cirrhosis (LC) carriers of the methylene tetrahydrofolate reductase (MTHFR) rs1801133 (C → T667 transition) polymorphism has never been addressed; we compared age at PVT in LC patients genotyped for the MTHFR and explored the interrelated clinical and laboratory factors predicting age at PVT.

APPROACH AND RESULTS

Retrospective cross-sectional cohort study. PVT participants: MTHFR CC n = 36, MTHFR CT n = 53, MTHFR TT n = 19; age, sex, age at PVT, Child-Pugh score, rs1799963 PT polymorphisms (G → A 20,210 transition), plasma HC and natural anticoagulants available for all participants. Age at PVT was lower in MTHFR TT than CT and CC (56 ± 13 vs. 57 ± 13 vs. 64 ± 9 years, p = 0.001); median (IQR) plasma HC was higher in MTHFR TT than in the other groups [(17 (9.4, 23.3) vs 13 (8,14.7) vs 11 (8.9, 12.7) μmol/l, p = 0.03)]. MTHFR TT, male gender and protein C predicted age at PVT (p = 0.02, p = 0.04 and p = 0.08); MTHFR TT and Child-Pugh score predicted plasma HC (p = 0.005 and p = 0.01) as well as low plasma protein C (p < 0.0001 and p = 0.0002). Plasma HC inversely related to protein C in the MTHFR TT group (p < 0.0001). Compound MTHFR TT with PT GA had lower age at PVT compared to MTHFR TT alone (49 ± 18 vs 58 ± 12 years).

CONCLUSIONS

MTHFR TT anticipates PVT associated with LC by an average of 8 years; MTHFR TT associates with severity of liver disease and to high plasma HC; the latter may contribute to the prematurity of PVT by interfering with the anticoagulant activity of protein C.

Establishment and verification a nomogram for predicting portal vein thrombosis presence among admitted cirrhotic patients

Background

Portal vein thrombosis (PVT) is an increasingly recognized complication of cirrhosis and possibly associated with mortality. This study aims to evaluate provoking factors for PVT, then establish a concise and efficient nomogram for predicting PVT presence among admitted cirrhotic patients.

Materials and methods

All cirrhotic patients admitted in Hunan Provincial People's Hospital between January 2010 and September 2020 were retrospectively reviewed, the clinical and laboratory data were collected. Multivariate logistic regression analysis and the least absolute shrinkage and selection operator regression method were used for screening the independent predictors and constructing the nomogram. The calibration curve was plotted to evaluate the consistent degree between observed outcomes and predicted probabilities. The area under the receiver operating characteristics curve was used to assess the discriminant performance. The decision curve analysis (DCA) was carried out to evaluate the benefits of nomogram.

Results

A total of 4,479 patients with cirrhosis were enrolled and 281 patients were identified with PVT. Smoking history, splenomegaly, esophagogastric varices, surgical history, red blood cell transfusion, and D-dimer were independent risk factors for PVT in cirrhosis. A nomogram was established with a good discrimination capacity and predictive efficiency with an the area under the curve (AUC) of 0.704 (95% CI: 0.664-0.745) in the training set and 0.685 (95% CI: 0.615-0.754) in the validation set. DCA suggested the net benefit of nomogram had a superior risk threshold probability.

Conclusion

A concise and efficient nomogram was established with good performance, which may aid clinical decision making and guide best treatment measures.

The Efficacy of the Systemic Immune-Inflammation Index and Prognosis Nutritional Index for the Diagnosis of Venous Thromboembolism in Gastrointestinal Cancers

Purpose

This study aimed to analyze the association between venous thromboembolism (VTE) and inflammatory markers like systemic immune-inflammation index (SII) and prognosis nutritional index (PNI), and to evaluate their efficacy for the diagnosis of VTE in patients with gastrointestinal malignancies.

Patients and Methods

A total of 1326 patients with the initial diagnosis of gastrointestinal cancer in the First Affiliated Hospital of Anhui Medical University (AHMU) were enrolled in the training cohort. Univariate and multivariate analysis was used to pinpoint independent predictors of VTE, which were eventually visualized as the nomogram models. The Akaike Information Criterion (AIC) was used to screen the best model. The receiver operating characteristic curve (ROC) and the clinical decision curve analysis (DCA) were utilized to evaluate the models’ predictive performance in the training queue and another external sample of 250 patients at the Second Affiliated Hospital of AHMU.

Results

A total of 476 patients were complicated with VTE in the training cohort. Multifactorial analysis of clinical characteristics and inflammatory markers showed that PNI, SII, age, tumor location, and therapy were independent risk factors of VTE, visualized as model A. Another model B was constructed by adding coagulation markers to the previous analysis. Model B was the best prediction model with the minimum AIC value, followed by model A with an AUC of 0.806 (95% CI 0.782~0.830) which was similar to model B’s 0.832 (95% CI 0.810~0.855) but significantly higher than the currently widely used Khorana score’s 0.592 (95% CI 0.562~0.621) and the CATS score’s 0.682 (95% CI 0.653~0.712). The external verification yielded similar findings, with the AUC being 0.792 (95% CI 0.734~0.851), 0.834 (95% CI 0.778~0.890), 0.655 (95% CI 0.582~0.729), and 0.774 (95% CI 0.699~0.849) respectively. The DCA curves demonstrated that new models had excellent usefulness in screening patients with a high VTE risk.

Conclusion

The SII and PNI were simple and viable inflammatory markers associated with VTE, and the nomogram based on them and clinical features had a meaningful clinical utility for VTE in patients with gastrointestinal malignancies.

The Diagnostic Value of the Systemic Immune-Inflammation Index for Venous Thromboembolism in Lung Cancer Patients: A Retrospective Study

Background

Venous thromboembolism (VTE) is considered a common complication in lung cancer patients. Despite its widespread use, the Khorana score performed moderately in predicting VTE risk. This study aimed to determine the diagnostic utility of the Systemic Immunoinflammatory Index (SII) and to create a novel nomogram for predicting VTE in patients with pulmonary carcinoma.

Materials and Methods

The data, like clinical features and laboratory indicators, of inpatients diagnosed with lung cancer from March 2019 to March 2020 were collected and analyzed. Univariate and multivariate logistic analyses were performed to confirm the risk factors and then construct a nomogram model. The calibration curve and clinical decision curve analysis (DCA) were used to assess the model's fitting performance. The receiver-operating characteristic (ROC) curve and the area under the ROC curve (AUC) were used to evaluate the diagnostic value of SII and the nomogram.

Results

This study enrolled 369 lung patients with a VTE morbidity rate of 23.33%. The patients with VTE had higher SII levels than the non-VTE group (1441.47 ± 146.28 vs. 626.76 ± 26.04, P < 0.001). SII is the stronger correlator for VTE among inflammatory markers, of which the optimal cut-off value was 851.51. Univariate and multivariate analysis revealed that the age, metastasis, antitumor treatment, hemoglobin<100 g/L, SII>851.51 × 10⁹/L, and D-dimer>2 folds were independent risk factors for lung cancer-related VTE, and a new prediction nomogram model was constructed based on them. ROC curve analysis showed the AUC of the new model and Khorana score were 0.708 (0.643-0.772) and 0.600 (0.531-0.699).

Conclusion

The SII was a simple and valuable biomarker for VTE, and the new nomogram model based on it can accurately forecast the occurrence of VTE. They can be utilized in clinical practice to identify those at high risk of VTE in lung cancer patients.