scholarly journals HAT2 CH2 Score Performance Predicting Neurologic Events After Cardiac Implantable Electronic Device

2021 ◽  
Author(s):  
Ju-Yi Chen ◽  
Tse-Wei Chen ◽  
Wei-Da Lu
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Electronic Device ◽  
High Rate ◽  
Youden Index ◽  
Cardiac Implantable Electronic Device ◽  
Cox Regression Analysis ◽  
Independent Risk Factors ◽  
Time Dependent Covariates ◽  
Clinical Conditions

Abstract The HAT2CH2 score has been evaluated for predicting new-onset atrial fibrillation in several clinical conditions, but never for adverse neurologic events. We aimed to evaluate the effectiveness of HAT2CH2 score in predicting neurologic events in patients with cardiac implantable electronic device (CIED), comparing with atrial high-rate episodes (AHRE). This case-control study enrolled 314 consecutive patients aged 18 years or older with CIED implantation between January 2015 and April 2021. Patient data were analyzed retrospectively. The primary endpoint was subsequent neurologic events (NE) after implantation. AHRE was defined as > 175 bpm (Medtronic®) lasting ≥ 30 seconds. Variables associated with independent risk of NE were identified using multivariate Cox regression analysis with time-dependent covariates. Patients’ median age was 73 years and 61.8% of them were male. During follow-up (median 32 months), 18 NE occurred (incidence rate 2.15/100 patient-years, 95% CI 1.32-4.30). Multiple Cox regression analysis showed that the HAT2CH2 score (HR 2.972, 95% CI 2.143-4.123, p < 0.001) was an independent predictor for NE. Optimal HAT2CH2 score cutoff value was 3 with highest Youden index (AUC, 0.923; 95% CI, 0.881–0.966; p < 0.001). Significant increase was observed in NE occurrence rates using the HAT2CH2 score (p < 0.001). The HAT2CH2 score and episodes of AHRE lasting ≥ 1 minute are independent risk factors for NE in patients with CIED.

scholarly journals HAT2CH2 Score Predicts Systemic Thromboembolic Events in Elderly After Cardiac Electronic Device Implantation

2021 ◽  
Vol 8 ◽  
Author(s):  
Ju-Yi Chen ◽  
Tse-Wei Chen ◽  
Wei-Da Lu
Keyword(s):  
Regression Analysis ◽  
Older Patients ◽  
Cox Regression ◽  
Electronic Device ◽  
High Rate ◽  
Youden Index ◽  
Thromboembolic Events ◽  
Cox Regression Analysis ◽  
Cardiac Implantable Electronic Devices ◽  
Time Dependent Covariates

Background: The HAT2CH2 score has been evaluated for predicting new onset atrial fibrillation, but never for adverse systemic thromboembolic events (STE) in elderly. We aimed to evaluate the HAT2CH2 score and comparing to atrial high rate episodes (AHRE) ≥24 h for predicting STE in older patients with cardiac implantable electronic devices (CIED) implantation.Methods: We retrospective enrolled 219 consecutive patients ≥ 65 years of age undergoing CIED implantation. The primary endpoint was subsequent STE. For all patients in the cohort, the CHA2DS2-VASc, C2HEST, mC2HEST, HAVOC, HAT2CH2 scores and AHRE ≥ 24 h were determined. AHRE was defined as &gt; 175 bpm lasting ≥ 30 s. Multivariate Cox regression analysis with time-dependent covariates was used to determine variables associated with independent risk of STE.Results: The median patient age was 77 years, and 61.2% of the cohort was male. During follow-up (median, 35 months), 16 STE occurred (incidence rate, 2.51/100 patient-years; 95% CI, 1.65–5.48). Multiple Cox regression analysis showed that the HAT2CH2 score (HR, 3.405; 95% CI, 2.272–5.104; p &lt; 0.001) was an independent predictor for STE. The optimal HAT2CH2 score cutoff value was 3, with the highest Youden index (AUC, 0.907; 95% CI, 0.853–0.962; p &lt; 0.001). The STE rate increased with increasing HAT2CH2 score (p &lt; 0.001).Conclusions: This study is the first to show the prognostic value of the HAT2CH2 score for STE occurrence in older patients with CIEDs.

scholarly journals Atrial high-rate episodes predict major adverse cardio/cerebrovascular events in patients with cardiac implantable electrical devices

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ju-Yi Chen ◽  
Tse-Wei Chen ◽  
Wei-Da Lu
Keyword(s):  
Cox Regression ◽  
High Rate ◽  
Youden Index ◽  
Cox Regression Analysis ◽  
Cerebrovascular Events ◽  
Increased Risk ◽  
Electrical Devices ◽  
Time Dependent Covariates ◽  
Cutoff Threshold

AbstractPatients with atrial high-rate episodes (AHRE) have a high risk of neurologic events, although the causal role and optimal cutoff threshold of AHRE for major adverse cardio/cerebrovascular events (MACCE) are unknown. This study aimed to identify independent factors for AHRE and subsequent atrial fibrillation (AF) after documented AHRE. We enrolled 470 consecutive patients undergoing cardiac implantable electrical device (CIED) implantations. The primary endpoint was subsequent MACCE after AHRE ≥ 6 min, 6 h, and 24 h. AHRE was defined as > 175 beats per minute (bpm) (Medtronic®) or > 200 bpm (Biotronik®) lasting ≥ 30 s. Multivariate Cox regression analysis with time-dependent covariates was used to determine variables associated with independent risk of MACCE. The patients’ median age was 76 year, and 126 patients (26.8%) developed AHRE ≥ 6 min, 63 (13.4%) ≥ 6 h, and 39 (8.3%) ≥ 24 h. During follow-up (median: 29 months), 142 MACCE occurred in 123 patients. Optimal AHRE cutoff value was 6 min, with highest Youden index for MACCE. AHRE ≥ 6 min ~ 24 h was independently associated with MACCE and predicted subsequent AF. Male gender, lower body mass index, or BMI, and left atrial diameter were independently associated with AHRE ≥ 6 min ~ 24 h. Patients with CIEDs who develop AHRE ≥ 6 min have an independently increased risk of MACCE. Comprehensive assessment of patients with CIEDs is warranted.

scholarly journals A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma

2021 ◽  
Vol 20 ◽  
pp. 153303382110279
Author(s):  
Qinping Guo ◽  
Yinquan Wang ◽  
Jie An ◽  
Siben Wang ◽  
Xiushan Dong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cox Regression ◽  
Signet Ring Cell Carcinoma ◽  
Signet Ring Cell ◽  
Training Set ◽  
Cox Regression Analysis ◽  
Signet Ring ◽  
Ring Cell ◽  
Independent Risk Factors

Background: The aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC). Methods: GSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and validation sets. Multivariate Cox regression analyses screened for OS and CSS independent risk factors and nomograms were constructed. Results: A total of 7,149 eligible GSRC patients were identified, including 4,766 in the training set and 2,383 in the validation set. Multivariate Cox regression analysis showed that gender, marital status, race, AJCC stage, TNM stage, surgery and chemotherapy were independent risk factors for both OS and CSS. Based on the results of the multivariate Cox regression analysis, prognostic nomograms were constructed for OS and CSS. In the training set, the C-index was 0.754 (95% CI = 0.746-0.762) for the OS nomogram and 0.762 (95% CI: 0.753-0.771) for the CSS nomogram. In the internal validation, the C-index for the OS nomogram was 0.758 (95% CI: 0.746-0.770), while the C-index for the CSS nomogram was 0.762 (95% CI: 0.749-0.775). Compared with TNM stage and SEER stage, the nomogram had better predictive ability. In addition, the calibration curves also showed good consistency between the predicted and actual 3-year and 5-year OS and CSS. Conclusion: The nomogram can effectively predict OS and CSS in patients with GSRC, which may help clinicians to personalize prognostic assessments and clinical decisions.

scholarly journals Cox Regression Analysis of 1739 Emergency Trauma Patients

2020 ◽  
Author(s):  
Jun Shen ◽  
Feng Xu ◽  
Du Chen
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Oxygen Saturation ◽  
Cox Regression ◽  
Trauma Patients ◽  
Term Survival ◽  
Cox Regression Analysis ◽  
Revised Trauma Score ◽  
Independent Risk Factors ◽  
Trauma Score

Abstract BACKGROUND: Trauma is a damage caused by physical harm from external source. It has been one of the major causes of mortality. The purpose of this study was to explore the risk factors related to mortality among emergency trauma patients. METHODS: This was a retrospective study in trauma center of the First Affiliated Hospital of Soochow University. The data were obtained from trauma database with patients registered from November 1, 2016 to November 30, 2019.Shapiro–Wilk test, Mann-Whitney test and Likelihood-ratio Chi squared test were used to assess the survival pattern. Cox regressions were performed to calculate the hazard ratios (HRs) of variables for death. RESULTS: The total 1739 emergency trauma patients, 44 (2.53%) died during the study period and 1695 (97.47%) were survival. Through univariable and multivariable Cox regression analysis, three independent risk factors for emergency death were screened out: pulse (Crude HR: 0.97, 95% Confidence Interval [CI]: 0.96-0.98; Adjuste HR: 1.04, 95% CI: 1.02-1.06), pulse oxygen saturation (Crude HR: 0.96, 95% CI: 0.95-0.97; Adjuste HR: 0.94, 95% CI: 0.91-0.97) and Revised Trauma Score (Crude HR: 0.69, 95% CI: 0.65-0.74; Adjuste HR: 0.79, 95% CI: 0.64-0.97).CONCLUSION: The survival outcome of emergency trauma patients was influenced by many factors. Pulse, pulse oxygen saturation (SpO2 ) and Revised Trauma Score (RTS) were the independent risk factors for mortality. Accurate analysis and judgment of the risk factors can improve cure efficiency and long-term survival rate.

Coagulopathy on the first postoperative day predicting the long-term survival of traumatic brain injury patients

2020 ◽  
Author(s):  
Wenxing Cui ◽  
Shunnan Ge ◽  
Yingwu Shi ◽  
Xun Wu ◽  
Jianing Luo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cox Regression ◽  
Term Survival ◽  
Long Term Survival ◽  
Cox Regression Analysis ◽  
Independent Risk Factors ◽  
The Relationship ◽  
Underlying Risk

Abstract Objective: The purpose of this study was to identify the relationship between coagulopathy during the perioperative period (before the operation and on the first day after the operation) and the long-term survival of TBI patients undergoing surgery, as well as to explore the predisposing risk factors that may cause perioperative coagulopathy.Methods: This retrospective study included 447 TBI patients who underwent surgery from January 1, 2015 to April 25, 2019. Clinical parameters, including patient demographic characteristics, biochemical tests, perioperative coagulation function tests (before the operation and on the first day after the operation) and intraoperative factors were collected. Log-rank univariate analysis and Cox regression models were conducted to assess the relationship between perioperative coagulopathy and the long-term survival of TBI patients. Furthermore, univariate and multivariate analyses were performed to identify the underlying risk factors for perioperative coagulopathy.Results: Multivariate Cox regression analysis identified age, AIS(head) = 5, GCS ≤ 8, systolic pressure at admission < 90 mmHg and postoperative coagulopathy (all P < 0.05) as independent risk factors for survival following TBI; we were the first to identify postoperative coagulopathy as an independent risk factor. According to multivariate logistic regression analysis, for the first time, abnormal ALT and RBC at admission, preoperative coagulopathy, infusion of colloidal solution > 1100 mL and intraoperative bleeding > 950 mL (all P < 0.005) were identified as independent risk factors for postoperative coagulation following surgery after TBI.Conclusions: Those who suffered from postoperative coagulopathy due to TBI had a higher hazard for poor prognosis than those who did not. Closer attention should be paid to postoperative coagulopathy and more emphasis should be placed on managing the underlying risk factors.

scholarly journals Characteristic and Early Discontinuation of Obsessive-Compulsive Disorder Trials Registered on ClinicalTrials.gov

2021 ◽  
Vol 12 ◽  
Author(s):  
Shanxia Luo ◽  
Qiong Guo ◽  
Liu Yang ◽  
Yifan Cheng ◽  
Youlin Long ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Obsessive Compulsive Disorder ◽  
Cox Regression ◽  
Drug Trials ◽  
Obsessive Compulsive ◽  
Early Discontinuation ◽  
Cox Regression Analysis ◽  
Compulsive Disorder ◽  
Independent Risk Factors

Objective: This study aimed to analyze the characteristics and reasons of early discontinuation of obsessive-compulsive disorder (OCD) trials registered on ClinicalTrials.gov.Methods: OCD trials and relevant publications were searched on ClinicalTrials.gov and PubMed, respectively. The characteristics and details regarding the timely publication of trials were recorded. Cox regression analysis was used to explore factors associated with the early discontinuation of OCD trials.Results: The analysis included 298 OCD therapy trials. Most investigations recruited &lt;100 patients and were more likely to involve adults. Of all OCD studies identified, 67.8% were randomized and 61.4% were blind (single- or double-blind). Universities and hospitals were recorded as the two primary locations in the majority of trials. A total of 155 trials (52%) were completed; however, only 29% of those were published. Of the published trials, &gt;70% were published at least 1 year after completion. Behavioral therapy trials were the most common type of major treatment-aimed OCD trials (39%), followed by drug trials (35.1%) and device/procedure trials (24.7%). The univariate Cox regression analysis indicated that drug trials [hazard ratio (HR) = 2.56, 95% confidence interval (CI): 1.21–5.43], absence of collaborators (HR = 3.87, 95% CI: 1.62–9.26), and sponsorship by industry (HR = 3.97, 95% CI: 1.49–10.53) were risk factors for early discontinuation of OCD trials. Further multivariate Cox regression showed that drug trials (HR = 3.93, 95% CI: 1.71–9.08) and absence of collaborators (HR = 5.17, 95% CI: 1.97–13.54) were independent risk factors for early trial discontinuation of OCD trials. The sensitivity analysis confirmed these results. Non-drug trials (OR = 3.32, 95% CI: 1.21–9.11), absence of collaborators (OR = 3.25, 95% CI: 1.10–9.60), and non-blinded trials (OR = 5.23, 95% CI: 1.05–26.2) were independent risk factors for unreported results in registry.Conclusion: The diagnosis and prevention of OCD are rarely investigated in trials. Underreporting and delayed reporting remain major problems. The type of intervention and participation of collaborators are associated with early discontinuation of OCD trials.

Effect of cumulative dexamethasone dose during concomitant chemoradiation on lymphopenia in patients with newly diagnosed glioblastoma.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e14533-e14533
Author(s):  
Stephen Ahn ◽  
Jae-Sung Park ◽  
Jin Ho Song ◽  
Sin-Soo Jeun ◽  
Yong-Kil Hong
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cox Regression ◽  
Performance Status ◽  
Multivariate Logistic Regression Analysis ◽  
Newly Diagnosed ◽  
Cox Regression Analysis ◽  
Female Sex ◽  
Concomitant Chemoradiation ◽  
Independent Risk Factors

e14533 Background: Lymphopenia frequently occurs after concomitant chemoradiation (CCRT) in patients with glioblastoma (GBM) and is associated with worse overall survival (OS). A few studies have tried to identify risk factors for lymphopenia; however, the results were not clear. We aimed to identify potential risk factors for lymphopenia, focusing on the use of dexamethasone to control cerebral edema in patients with GBM. Methods: The electronic medical records of 180 patients with newly diagnosed GBM treated at our institution between 2009 and 2017 were retrospectively examined. Acute lymphopenia was defined as TLC (total lymphocyte count) less than 1,000 cells/mm3 at 4 weeks after completion of CCRT. Multivariate logistic regression analysis was used to identify independent risk factors for lymphopenia, and Cox regression analysis was used to identify independent risk factors for OS. Results: Of the 125 eligible patients, 40 patients (32.0%) developed acute lymphopenia. Female sex and median daily dexamethasone dose > 2mg after initiation of CCRT were independent risk factors for acute lymphopenia on multivariate analysis. Acute lymphopenia, extent of surgical resection, and performance status were associated with OS; however, dexamethasone use itself was not an independent risk factor for poor OS. Conclusions: Female sex, median daily dexamethasone dose > 2 mg after initiation of CCRT until four weeks after completion of CCRT may be associated with acute lymphopenia. However, dexamethasone use itself did not affect OS in patients newly diagnosed with GBM. These results should be validated by further prospective studies controlling for other confounding factors.

scholarly journals Rebleeding of Ruptured Intracranial Aneurysm After Admission: A Multidimensional Nomogram Model to Risk Assessment

2021 ◽  
Vol 13 ◽  
Author(s):  
Qingyuan Liu ◽  
Yi Yang ◽  
Junhua Yang ◽  
Maogui Li ◽  
Shuzhe Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Intracranial Aneurysm ◽  
Cox Regression ◽  
Validation Cohort ◽  
Dynamics Simulation ◽  
Cox Regression Analysis ◽  
Ruptured Intracranial Aneurysm ◽  
Short Period ◽  
Independent Risk Factors

ObjectiveRebleeding is recognized as the main cause of mortality after intracranial aneurysm rupture. Though timely intervention can prevent poor prognosis, there is no agreement on the surgical priority and choosing medical treatment for a short period after rupture. The aim of this study was to investigate the risk factors related to the rebleeding after admission and establish predicting models for better clinical decision-making.MethodsThe patients with ruptured intracranial aneurysms (RIAs) between January 2018 and September 2020 were reviewed. All patients fell to the primary and the validation cohort by January 2020. The hemodynamic parameters were determined through the computational fluid dynamics simulation. Cox regression analysis was conducted to identify the risk factors of rebleeding. Based on the independent risk factors, nomogram models were built, and their predicting accuracy was assessed by using the area under the curves (AUCs).ResultA total of 577 patients with RIAs were enrolled in this present study, 86 patients of them were identified as undergoing rebleeding after admission. Thirteen parameters were identified as significantly different between stable and rebleeding aneurysms in the primary cohort. Cox regression analysis demonstrated that six parameters, including hypertension [hazard ratio (HR), 2.54; P = 0.044], bifurcation site (HR, 1.95; P = 0.013), irregular shape (HR, 4.22; P = 0.002), aspect ratio (HR, 12.91; P &lt; 0.001), normalized wall shear stress average (HR, 0.16; P = 0.002), and oscillatory stress index (HR, 1.14; P &lt; 0.001) were independent risk factors related to the rebleeding after admission. Two nomograms were established, the nomogram including clinical, morphological, and hemodynamic features (CMH nomogram) had the highest predicting accuracy (AUC, 0.92), followed by the nomogram including clinical and morphological features (CM nomogram; AUC, 0.83), ELAPSS score (AUC, 0.61), and PHASES score (AUC, 0.54). The calibration curve for the probability of rebleeding showed good agreement between prediction by nomograms and actual observation. In the validation cohort, the discrimination of the CMH nomogram was superior to the other models (AUC, 0.93 vs. 0.86, 0.71 and 0.48).ConclusionWe presented two nomogram models, named CMH nomogram and CM nomogram, which could assist in identifying the RIAs with high risk of rebleeding.

scholarly journals High-Sensitivity C-Reactive Protein is a Predictor of Subsequent Atrial High-Rate Episodes in Patients with Pacemakers and Preserved Ejection Fraction

2020 ◽  
Vol 9 (11) ◽  
pp. 3677
Author(s):  
Min-Tsun Liao ◽  
Chun-Kai Chen ◽  
Ting-Tse Lin ◽  
Li-Ying Cheng ◽  
Hung-Wen Ting ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
High Sensitivity ◽  
Cardiac Biomarkers ◽  
High Rate ◽  
C Reactive Protein ◽  
Cox Regression Analysis ◽  
Reactive Protein ◽  
Increased Risk ◽  
Hs Crp

Atrial fibrillation (AF) is associated with morbidity and mortality. Modern pacemakers can detect atrial high-rate episodes (AHREs) as a surrogate for AF. It remains controversial whether inflammation is a cause or a consequence of AF. This study investigated whether the inflammatory biomarker high-sensitivity C-reactive protein (hs-CRP) can predict subsequent AHREs. This study gathered prospective data from patients with pacemakers and a left ventricle EF ≥ 50% between 2015 and 2019. The hs-CRP and other cardiac biomarkers at baseline and device-detected AHREs, defined as atrial rate ≥ 180 bpm and duration ≥ 6 min, were determined. Cox regression analysis was used to estimate the independent predictors for AHREs. A total of 171 consecutive patients were included. During the median follow-up of 614 days, 66 patients (39%) developed subsequent AHREs. In the univariate Cox regression analysis, sick sinus syndrome (p = 0.005), prior AF (p < 0.001), mitral A velocity (p = 0.008), and hs-CRP (p = 0.013) showed significant association with the increased risk of AHREs. In the multivariate Cox regression model, hs-CRP (HR = 1.121, 95% confidence interval = 1.015–1.238, p = 0.024) retained its significance. Our results suggest that elevated hs-CRP could predict subsequent AHREs and that inflammation could play a role in AF pathogenesis in patients with preserved EF.

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