The Risk Factors for Death within 6 Months After Ischemic Stroke in Patients with Cancer.

OBJECTIVES: While the intravenous recombinant tissue plasminogen activator (rt-PA) therapy for acute ischemic stroke patients with cancer is recommended when survival of ≥ 6 months is expected, the risk factors for death and stroke recurrence within 6 months after stroke are not well known. Thus, we aimed to identify markers for death and recurrence risks within six months from stroke onset in patients with cancer. MATERIALS AND METHODS: In a retrospective cohort study, the subjects comprised acute ischemic stroke patients with cancer hospitalized at St. Marianna University hospital from 2008 through 2019. To evaluate the associations between the clinical factors within 24 h of the initial stroke and death or stroke recurrence events within 6 months from stroke onset, Logistic analysis and Cox proportional hazards regression analysis was used respectively. Next, the optimal cutoff point of markers for different mortality groups was determined using the receiver operating characteristic curve analysis and cumulative outcome rate of each group was compared using the Kaplan-Meier method. RESULTS: Among 194 patients with cancer who developed acute stroke, 167 were ultimately selected for analysis. 47 subjects (28.14%) passed away within 6 months following stroke onset, and 20 subjects (11.98%) had stroke recurrence. High D-dimer levels, low fibrinogen levels, high Glasgow prognostic scores (GPS), and multiple vascular territory infarctions was independently associated with death, where higher death rate was significantly confirmed in the group with D-dimer levels of ≥3.95 mg/dl, fibrinogen levels <277.5 mg/dl and GPS scores of 2. Low fibrinogen level, lack of antithrombotic therapy, and the presence of metastasis were associated with stroke recurrence. CONCLUSIONS: When patients with cancer suffer stroke, D-dimer levels, fibrinogen levels, GPS, and multiple vascular territory infarctions would be associated with the risk of death within 6 months. Low fibrinogen levels, lack of antithrombotic therapy, and the presence of metastasis correlated with high risk of stroke recurrence.

Prognostic factors in patients with metastatic or recurrent pancreatic cancer treated with first-line nab-paclitaxel plus gemcitabine: implication of inflammation-based scores.

Background Nab-paclitaxel plus gemcitabine (AG) is standard first-line chemotherapy for patients with metastatic pancreatic cancer (mPC). However, prognostic factors for patients with mPC treated with AG, are largely unknown. We retrospectively identified prognostic factors, including inflammation-based prognostic scores, in patients with mPC, and recurrent pancreatic cancer treated with AG as first-line treatment. Method A total of 203 patients with histologically-confirmed recurrent or metastatic pancreatic cancer who were treated with first-line AG in Asan Medical Center, Seoul, Korea, between February 2016 and December 2016 were included in this analysis. As inflammation-based scores, baseline neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and modified Glasgow prognostic scores (mGPS) were tested. Result Median age was 62 years and 116 patients (57%) were male. With median follow-up duration of 21.5 months, median progression-free survival (PFS) was 7.1 (95% CI 6.2-7.9) months, and overall survival (OS) was 15.1 (95% CI 12.6-17.6) months. In the multivariate analysis, PFS was significantly associated with liver metastasis (HR 1.43), distant lymph node metastasis (HR 1.48), and elevated CA19-9 (HR 1.56). In multivariate analysis for OS, elevated CA19-9 (HR 1.75), liver metastasis (HR 1.76), distant lymph node metastasis (HR 1.41), and high mGPS (mGPS ≥1 vs.0: HR 1.64) were independent prognostic factors. NLR and PLR were not significantly associated with PFS and OS. Conclusion Among the inflammation based prognostic scores, mGPS was a reliable prognostic indicator that could stratify survival outcomes in patients with recurrent or mPC who received AG as first-line chemotherapy.

Evaluation of Preoperative Inflammation-Based Prognostic Scores in Patients With Intrahepatic Cholangiocarcinoma: A Multicenter Cohort Study.

BACKGROUND: Accumulating evidence has indicated the vital role of inflammation-based score (IBS) in predicting the prognostic outcome of cancer patients. Otherwise, their value in intrahepatic cholangiocarcinoma (iCCA) remains indistinct. The present study aimed to evaluate whether IBSs were related to survival outcomes in iCCA patients. METHOD: Clinical characteristics were retrospectively collected in 399 patients diagnosed with iCCA from cohorts of Sun Yat-sen University Cancer Center (SYSUCC) and the First Hospital of Dalian Medical University (FHDMU). The survival curves were constructed with the Kaplan-Meier method and compared with the log-rank test. Univariate and multivariate analyses were conducted to determine the prognostic factors of overall survival (OS) and progression-free survival (PFS). The concordance index and the area under the time-dependent receiver operating characteristic (ROC) curves (AUROCs) were used to compare the predictive value of inflammation-based scores in terms of survival outcomes. RESULTS: The significant survival differences in OS and DFS were observed when patients were stratified by the modified Glasgow Prognostic Score (mGPS) (p<0.001). Multivariate analysis demonstrated that higher mGPS score was independently associated with poor OS and DFS (p<0.001). The predictive accuracy of the mGPS was superior to other IBSs (all p<0.001) in survival prediction in iCCA patients. The findings were further supported by the external validation cohort. CONCLUSION: The mGPS is a sensitive, efficient, simple and widely applicable preoperative prognostic factor for iCCA patients. Thus, more effective therapy and frequent surveillance should be conducted after surgical resection in iCCA patients with higher mGPS scores.

Predictive value of inflammation-based Glasgow prognostic score, platelet-lymphocyte ratio, and global registry of acute coronary events score for major cardiovascular and cerebrovascular events during hospitalization in patients with acute myocardial infarction.

PURPOSE: The goal of this study was to evaluate the predictive ability of the inflammation-based Glasgow Prognostic Score (GPS), platelet-lymphocyte ratio (PLR), Global Registry of Acute Coronary Events (GRACE) score and combined diagnostic models for the occurrence of major adverse cardiovascular and cerebrovascular events (MACEs) in patients with acute myocardial infarction (AMI). METHODS: In this retrospective cohort study, eligible patients were required to meet the third global definition of myocardial infarction. The primary outcome of this study was the occurrence of MACEs during hospitalization. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive ability of the GPS, PLR, GRACE scores, and joint diagnostic models for primary outcomes; univariate and multivariate logistic regression analyses were performed. FINDINGS: A total of 175 patients were enrolled. The results of the univariate ROC curve analysis for the incidence of MACEs during hospitalization showed that the area under the curve (AUC) was 0.780 (95% confidence interval (CI) 0.696-0.864) for the GPS, 0.766 (95% CI 0.682-0.850) for the redefined GPS (RGPS), 0.561 (95% CI 0.458-0.664) for the PLR score (PLRS), and 0.793 (95% CI 0.706-0.880) for GRACE. Multivariate ROC curve analysis showed that the AUC value was 0.809 (95% CI 0.726-0.893) for the GPS combined with GRACE, 0.783 (95% CI 0.701-0.864) for the GPS combined with the PLRS, 0.794 (95% CI 0.707-0.880) for GRACE combined with the PLRS, and 0.841 (95% CI 0.761-0.921) for the GPS combined with GRACE and the PLRS. The combined diagnostic model including the GPS plus GRACE and the PLRS had a higher AUC value than the GPS, RGPS and GRACE models (P = 0.014, P = 0.004, and P = 0.038, respectively). The multivariate logistic regression model showed that the odds ratio for hospitalized MACEs was 5.573 (95% CI 1.588-19.554) for GPS scores of 2 versus 0, and the GRACE score was also an independent risk factor for MACEs, with an odds ratio of 1.023 (95% CI 1.009-1.036). IMPLICATIONS: The diagnostic model combining the GPS plus GRACE and the PLRS has better predictive ability for the occurrence of MACEs during hospitalization than each single score. Thus, the use of a combined GPS plus GRACE and PLRS model will be of clinical benefit in a broad group of individuals with AMI.

Predictive value of three Inflammation-based Glasgow Prognostic Scores for major cardiovascular adverse events in patients with acute myocardial infarction during hospitalization: a retrospective study.

AIM: Inflammation-based Glasgow Prognostic Scores (GPS) have been reported to predict the prognosis of patients with acute ST-elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). The goal of this study was to investigate whether three kinds of GPSs can effectively predict major cardiovascular adverse events (MACEs) in STEMI or non-ST-segment elevation myocardial infarction (NSTEMI) patients undergoing PPCI, elective PCI (EPCI) or conservative drug therapy during hospitalization. METHODS: In this retrospective cohort study, patients with acute myocardial infarction (AMI) were divided into 0, 1 or 2 score according to the GPSs. Logistic regression and receiver operating characteristic (ROC) curve analysis were performed to assess the predictive value of GPSs for MACE and all-cause mortality during hospitalization. Three kinds of GPSs, Inflammation-based Glasgow Prognostic Score (GPS), modified GPS (MGPS) and high-sensitivity CRP-modified GPS (HS-MGPS) and Global Registry of Acute Coronary Events (GRACE) score were applied in this study. RESULTS: A total of 188 patients were enrolled. The ROC curve with MACE showed that the AUC of GPS (0.820 (95% confidence interval (CI) [0.754-0.885]), P < 0.001) was larger than that of MGPS (0.789 (95% CI [0.715-0.863]), P < 0.001), HS-MGPS (0.787 (95% CI [0.717-0.856]), P < 0.001) and GRACE score (0.743 (95% CI [0.672-0.814]), P < 0.001). The ROC curve with all-cause mortality showed that the AUC of GPS (0.696 (95% CI [0.561-0.831]), P = 0.005) was similar to the HS-MGPS (0.698 (95% CI [0.569-0.826]), P = 0.005) and higher than the MGPS (0.668 (95% CI [0.525-0.812]), P = 0.016), but lower than the GRACE score (0.812 (95% CI [0.734-0.889]), P < 0.001). Multivariate logistic regression analysis showed that the GPS was an independent risk factor for the incidence of MACE during hospitalization. Compared with the odds ratio (OR) value for a GPS of 0, the OR for a GPS of 1 was 7.173 (95% CI [2.425-21.216]), P < 0.001), and that for a GPS of 2 was 18.636 (95% CI [5.813-59.746]), P < 0.001), but not an independent risk factor for all-cause mortality (P = 0.302). GRACE score was an independent risk factor for MACE (1.019 (95% CI [1.004-1.035]), P = 0.015) and all-cause mortality (1.040 (95% CI [1.017-1.064]), P = 0.001). In the subgroups classified according to the type of AMI, the presence of disease interference GPSs and the type of PCI, the ability of GPS to predict the occurrence of MACE seemed to be greater than that of MGPS and HS-MGPS. CONCLUSION: The GPS has a good predictive value for the occurrence of MACE during hospitalization in patients with AMI, regardless of STEMI or NSTEMI, the choice of PCI mode and the presence or absence of diseases that interfere with GPS. However, GPS is less predictive of all-cause mortality during hospitalization than GRACE score, which may be due to the interference of patients with other diseases.