scholarly journals Comparison of Lp-PLA2 Activity, Lp-PLA2 Mass and Lp-PLA2 mRNA in Acute Coronary Syndrome Patients

2021 ◽  
pp. 1-7
Author(s):  
Xu Ma ◽  
Xu Ma ◽  
Yulong Li ◽  
Qi Sun ◽  
Ting Ding ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Plasma Lipids ◽  
Mrna Level ◽  
Multivariate Logistic Regression Analysis ◽  
Inflammatory Cells ◽  
Pla2 Activity ◽  
Regulatory Factor ◽  
Multivariate Logistic Regression ◽  
Coronary Syndrome ◽  
Risk Predictor

Background: Lipoprotein-associated phospholipase A2 (Lp-PLA2) is a risk predictor for cardiovascular diseases (CVD). Generally, plasma Lp-PLA2 was thought to be secreted by circulatory inflammatory cells. Lp-PLA2 mRNA expression of PBMC may also be a risk predictor. Methods: A total of 104 subjects angiographically verified ACS patients were enrolled, including 73 unstable angina pectoris (UAP) patients and 31 acute myocardial infarction (AMI) patients. Plasma lipids, Lp-PLA2 activity and Lp-PLA2 mass were measured. Lp-PLA2 mRNA expression of PBMC was relatively quantified by real-time fluorescence PCR. Results: Plasma Lp-PLA2 activity was increased in AMI patients compared to UAP patients (395.21±145.91 vs. 328.53±127.03 U/L, p=0.024). Lp-PLA2 mass of AMI patients was also higher than UAP patients (136.43±45.46 vs. 119.16±44.19 ng/mL, p=0.093), while PBMC mRNA expression was not statistically different [1.07 (0.74, 1.57) vs. 0.88(0.49, 1.99), p=0.453]. Comparing Lp-PLA2 mRNA by groups, Lp-PLA2 mRNA level was higher in male ACS patients and smoking ACS patients (p=0.008, p=0.048, respectively). Multivariate logistic regression analysis showed that Lp-PLA2 activity was an AMI risk predictor (OR=5.224, 95% CI 1.687-16.181, p=0.004), after smoking, systolic blood pressure, diabetes and hyperlipidemia were adjusted. Recurrent ACS patients were older (p=0.035), but they showed lower levels of Lp-PLA2 mass and Lp-PLA2 activity (p=0.014, p=0.045, respectively), compared to primary ACS patients. Conclusion: Smoking may be an important regulatory factor for Lp-PLA2 mRNA expression in PBMC. Among three Lp-PLA2 indexes, Lp-PLA2 activity was the best marker indicating AMI risk, while Lp-PLA2 mass maybe play better role as a predictor in avoiding ACS recurrence.

scholarly journals Association between Serum Ferritin and Contrast-Induced Nephropathy in Patients with Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Boqian Zhu ◽  
Jiantong Hou ◽  
Yaoyao Gong ◽  
Gaoliang Yan ◽  
Qingjie Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Ferritin ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Ferritin Level ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Coronary Syndrome ◽  
Increased Risk

Background and Aims. CIN is a major and serious complication following PCI in patients with ACS. It is unclear whether a higher serum ferritin level is associated with an increased risk of CIN in high-risk patients. Thus, we conducted this study to assess the predictive value of SF for the risk of CIN after PCI.Methods. We prospectively examined SF levels in 548 patients with ACS before undergoing PCI. Multivariate logistic regression analysis was used to analyze the independent risk factors for CIN. The ROC analysis was performed to evaluate the predictive value of SF for CIN.Results. CIN occurred in 96 patients. Baseline SF was higher in patients who developed CIN compared to those who did not (257.05±93.98versus211.67±106.65;P<0.001). Multivariate logistic regression analysis showed that SF was an independent predictor of CIN (OR, 1.008; 95% CI, 1.003–1.013;P=0.002). The area under ROC curve for SF was 0.629, and SF > 180.9 μg/L predicted CIN with sensitivity of 80.2% and specificity of 41.4%.Conclusion. Our data show that a higher SF level was significantly associated with an increased risk of CIN after PCI.

scholarly journals NFKB1 gene rs28362491 polymorphism is associated with the susceptibility of acute coronary syndrome

2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Si-Yu Jin ◽  
Jun-Yi Luo ◽  
Xiao-Mei Li ◽  
Fen Liu ◽  
Yi-Tong Ma ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Coronary Artery ◽  
Healthy Subjects ◽  
Complex Disease ◽  
Inflammatory Diseases ◽  
Multivariate Logistic Regression Analysis ◽  
Gensini Score ◽  
Multivariate Logistic Regression ◽  
Coronary Syndrome ◽  
Genetic And Environmental Factors

Abstract The acute coronary syndrome (ACS) is a complex disease where genetic and environmental factors are involved. NF-κB, a central regulator of inflammation, is involved in various inflammatory diseases. The aim of the present study was to explore the association between NFKB1 gene rs28362491 (-94ATTGins/del) polymorphism and ACS. A total of 778 ACS patients and 1112 healthy subjects were included in our study. The TaqMan SNP genotyping assays was used to analyze the rs28362491 polymorphism. The lesion extent of coronary artery was assessed by Gensini Score and lesion vessel number in ACS patients. For total and males, the frequencies of the mutant DD genotype and D allele were significantly higher in ACS patients than that in control subjects (total: DD genotype: 18.0 vs 14.1%, P=0.009, D allele: 43.0 vs 37.9%, P=0.002, males: DD genotype: 20.6 vs 15.3%, P=0.042, D allele: 44.2 vs 38.8%, P=0.013). After multivariate logistic regression analysis, we found that individuals with mutant DD genotype had 1.329-fold higher risk of ACS compared with individuals with ID and II genotypes. Moreover, ACS patients with DD genotype were worse stenosis of coronary artery compared with patients carrying II or ID genotype. In conclusion, our study demonstrated that the mutant DD genotype of NFKB1 gene was associated with the risk and severity of ACS in Han population in Xinjiang, northwest of China.

scholarly journals IFN Regulatory Factor 1 Mediates Macrophage Pyroptosis Induced by Oxidized Low-Density Lipoprotein in Patients with Acute Coronary Syndrome

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Min Guo ◽  
Rui Yan ◽  
Hongmei Yao ◽  
Liqin Duan ◽  
Meng Sun ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Inflammatory Cells ◽  
Chronic Inflammatory Disease ◽  
Ros Generation ◽  
Regulatory Factor ◽  
Coronary Syndrome ◽  
Caspase 1 ◽  
Fibrous Cap

Background. Atherosclerosis (AS) is recognized as a chronic inflammatory disease. It is caused by the interaction between inflammatory cells such as macrophages, dendritic cells, and lipoproteins. Evidence has revealed that macrophage pyroptosis in lesion contributes to the formation of the necrotic core and thinning of the fibrous cap, which plays crucial roles in the onset of acute coronary syndrome (ACS). IFN regulatory factor 1 (IRF-1) is a pleiotropic transcription factor involved in various immune processes and cell death. We propose that IRF-1 may be implicated in macrophage pyroptosis in the pathogenesis of AS and ACS. Methods. Patients with stable angina, unstable angina, acute myocardial infarction, and clinical presentation of chest pain were enrolled. The expression of IRF-1 in human PBMC-derived macrophages was analyzed. Then, overexpression and inhibition of IRF-1 was performed in macrophages from patients with ACS to explore the possible role and mechanism of IRF-1 involvement in macrophage pyroptosis. Results. The expression of IRF-1 in macrophages was upregulated in ACS patients. The overexpression or inhibition of IRF-1 effectively modulated caspase-1 activation, as well as macrophage lysis, expression of gasdermin D-N (GSDMD-N), production of IL-1β and IL-18, and activation of NLRP3-ASC inflammasome, which were all inhibited by caspase-1 inhibitor. Further experiments revealed that pyroptosis and the downstream inflammatory response in AS induced by IRF-1 is a process that is dependent on reactive oxygen species (ROS) generation. Conclusion. Our observations suggest that IRF-1 potently activates ox-LDL-induced macrophage pyroptosis and may play an important role in AS and ACS.

Epidemiology of pediatric hydrocephalus in Haiti: analysis of a surgical case series

2019 ◽  
Vol 23 (5) ◽  
pp. 568-576
Author(s):  
Michael Ragheb ◽  
Ashish H. Shah ◽  
Sarah Jernigan ◽  
Tulay Koru-Sengul ◽  
John Ragheb
Keyword(s):  
Public Health ◽  
Logistic Regression ◽  
Head Circumference ◽  
Rainy Season ◽  
Statistical Tests ◽  
Multivariate Logistic Regression Analysis ◽  
Case Series ◽  
Multivariate Logistic Regression ◽  
Surgical Case ◽  
Operative Notes

OBJECTIVEHydrocephalus is recognized as a common disabling pediatric disease afflicting infants and children disproportionately in the developing world, where access to neurosurgical care is limited and risk of perinatal infection is high. This surgical case series describes the Project Medishare Hydrocephalus Specialty Surgery (PMHSS) program experience treating hydrocephalus in Haiti between 2008 and 2015.METHODSThe authors conducted a retrospective review of all cases involving children treated for hydrocephalus within the PMHSS program in Port-au-Prince, Haiti, from 2008 through 2015. All relevant epidemiological information of children treated were prospectively collected including relevant demographics, birth history, hydrocephalus etiology, head circumference, and operative notes. All appropriate associations and statistical tests were performed using univariate and multivariate logistic regression analyses.RESULTSAmong the 401 children treated within PMHSS, postinfectious hydrocephalus (PIH) accounted for 39.4% (n = 158) of cases based on clinical, radiographic, and endoscopic findings. The majority of children with hydrocephalus in Haiti were male (54.8%, n = 197), born in the rainy season (59.7%, n = 233), and born in a coastal/inland location (43.3%, n = 61). The most common surgical intervention was endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) (45.7%, n = 175). Multivariate logistic regression analysis yielded coastal birth location (OR 3.76, 95% CI 1.16–12.18) as a statistically significant predictor of PIH. Increasing head circumference (adjusted OR 1.06, 95% CI 0.99–1.13) demonstrated a slight trend toward significance with the incidence of PIH.CONCLUSIONSThis information will provide the foundation for future clinical and public health studies to better understand hydrocephalus in Haiti. The 39.4% prevalence of PIH falls within observed rates in Africa as does the apparently higher prevalence for those born during the rainy season. Although PIH was the most frequent etiology seen in almost all birth locations, the potential relationship with geography noted in this series will be the focus of further research in an effort to understand the link between climate and PIH in Haiti. The ultimate goal will be to develop an appropriate public health strategy to reduce the burden of PIH on the children of Haiti.

Healing effects of curcumin nanoparticles in deep tissue injury mouse model.

2020 ◽  
Vol 18 ◽  
Author(s):  
Zirui Zhang ◽  
Shangcong Han ◽  
Panpan Liu ◽  
Xu Yang ◽  
Jing Han ◽  
...  
Keyword(s):  
Wound Healing ◽  
Mrna Expression ◽  
Tissue Injury ◽  
Inflammatory Cells ◽  
Pcr Analysis ◽  
Protective Effects ◽  
Deep Tissue ◽  
Deep Tissue Injury

Background: Chronic inflammation and lack of angiogenesis are the important pathological mechanisms in deep tissue injury (DTI). Curcumin is a well-known anti-inflammatory and antioxidant agent. However, curcumin is unstable under acidic and alkaline conditions, and can be rapidly metabolized and excreted in the bile, which shortens its bioactivity and efficacy. Objective: This study aimed to prepare curcumin-loaded poly (lactic-co-glycolic acid) nanoparticles (CPNPs) and to elucidate the protective effects and underlying mechanisms of wound healing in DTI models. Methods: CPNPs were evaluated for particle size, biocompatibility, in vitro drug release and their effect on in vivo wound healing. Results : The results of in vivo wound closure analysis revealed that CPNP treatments significantly improved wound contraction rates (p<0.01) at a faster rate than other three treatment groups. H&E staining revealed that CPNP treatments resulted in complete epithelialization and thick granulation tissue formation, whereas control groups resulted in a lack of compact epithelialization and persistence of inflammatory cells within the wound sites. Quantitative real-time PCR analysis showed that treatment with CPNPs suppressed IL-6 and TNF-α mRNA expression, and up-regulated TGF-β, VEGF-A and IL-10 mRNA expression. Western blot analysis showed up-regulated protein expression of TGF-β, VEGF-A and phosphorylatedSTAT3. Conclusion: Our results showed that CPNPs enhanced wound healing in DTI models, through modulation of the JAK2/STAT3 signalling pathway and subsequent upregulation of pro-healing factors.

High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke

2019 ◽  
Vol 16 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Jiann-Der Lee ◽  
Ya-Han Hu ◽  
Meng Lee ◽  
Yen-Chu Huang ◽  
Ya-Wen Kuo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Prior History ◽  
Multivariate Logistic Regression ◽  
Cart Analysis ◽  
Younger Age ◽  
History Of ◽  
One Year

Background and Purpose: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR). Methods: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. Results: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively). Conclusions: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.

scholarly journals Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Atsushi Kotera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Pain ◽  
Logistic Regression Analysis ◽  
Pain Control ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Postoperative Pain Control ◽  
Flurbiprofen Axetil ◽  
Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

scholarly journals Deregulation of lncRNA HIST1H2AG-6 and AIM1-3 in peripheral blood mononuclear cells is associated with newly diagnosed type 2 diabetes

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hui Jiang ◽  
Peian Lou ◽  
Xiaoluo Chen ◽  
Chenguang Wu ◽  
Shihe Shao
Keyword(s):  
Roc Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Rank Correlation ◽  
Differentially Expressed ◽  
Healthy Controls ◽  
Biological Functions ◽  
Multivariate Logistic Regression ◽  
Spearman’S Rank Correlation ◽  
Spearman’S Rank Correlation Coefficient

Abstract Background Type 2 diabetes mellitus (T2DM) is mainly affected by genetic and environmental factors; however, the correlation of long noncoding RNAs (lncRNAs) with T2DM remains largely unknown. Methods Microarray analysis was performed to identify the differentially expressed lncRNAs and messenger RNAs (mRNAs) in patients with T2DM and healthy controls, and the expression of two candidate lncRNAs (lnc-HIST1H2AG-6 and lnc-AIM1-3) were further validated using quantitative real-time polymerase chain reaction (qRT-PCR). Spearman’s rank correlation coefficient was used to measure the degree of association between the two candidate lncRNAs and differentially expressed mRNAs. Furthermore, the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway and GO (Gene Ontology) enrichment analysis were used to reveal the biological functions of the two candidate lncRNAs. Additionally, multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis were performed. Results The microarray analysis revealed that there were 55 lncRNAs and 36 mRNAs differentially expressed in patients with T2DM compared with healthy controls. Notably, lnc-HIST1H2AG-6 was significantly upregulated and lnc-AIM1-3 was significantly downregulated in patients with T2DM, which was validated in a large-scale qRT-PCR examination (90 controls and 100 patients with T2DM). Spearman’s rank correlation coefficient revealed that both lncRNAs were correlated with 36 differentially expressed mRNAs. Furthermore, functional enrichment (KEGG and GO) analysis demonstrated that the two lncRNA-related mRNAs might be involved in multiple biological functions, including cell programmed death, negative regulation of insulin receptor signal, and starch and sucrose metabolism. Multivariate logistic regression analysis revealed that lnc-HIST1H2AG-6 and lnc-AIM1-3 were significantly correlated with T2DM (OR = 5.791 and 0.071, respectively, both P = 0.000). Furthermore, the ROC curve showed that the expression of lnc-HIST1H2AG-6 and lnc-AIM1-3 might be used to differentiate patients with T2DM from healthy controls (area under the ROC curve = 0.664 and 0.769, respectively). Conclusion The profiles of lncRNA and mRNA were significantly changed in patients with T2DM. The expression levels of lnc-HIST1H2AG-6 and lnc-AIM1-3 genes were significantly correlated with some features of T2DM, which may be used to distinguish patients with T2DM from healthy controls and may serve as potential novel biomarkers for diagnosis in the future.

scholarly journals The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: a prospective observational study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Observational Study ◽  
Elderly Patients ◽  
Prospective Observational Study ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract Background This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes. Methods We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%. Results In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses. Conclusions Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017

scholarly journals Comorbidity index for predicting mortality at 6 months after reperfusion therapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hyo Suk Nam ◽  
Young Dae Kim ◽  
Joonsang Yoo ◽  
Hyungjong Park ◽  
Byung Moon Kim ◽  
...  
Keyword(s):  
Prospective Cohort ◽  
Multivariate Logistic Regression Analysis ◽  
Area Under The Curve ◽  
Reperfusion Therapy ◽  
Good Prediction ◽  
Multivariate Logistic Regression ◽  
Stroke Patients ◽  
Number Of Patients ◽  
Comorbidity Index ◽  
Using Data

AbstractThe eligibility of reperfusion therapy has been expanded to increase the number of patients. However, it remains unclear the reperfusion therapy will be beneficial in stroke patients with various comorbidities. We developed a reperfusion comorbidity index for predicting 6-month mortality in patients with acute stroke receiving reperfusion therapy. The 19 comorbidities included in the Charlson comorbidity index were adopted and modified. We developed a statistical model and it was validated using data from a prospective cohort. Among 1026 patients in the retrospective nationwide reperfusion therapy registry, 845 (82.3%) had at least one comorbidity. As the number of comorbidities increased, the likelihood of mortality within 6 months also increased (p < 0.001). Six out of the 19 comorbidities were included for developing the reperfusion comorbidity index on the basis of the odds ratios in the multivariate logistic regression analysis. This index showed good prediction of 6-month mortality in the retrospective cohort (area under the curve [AUC], 0.747; 95% CI, 0.704–0.790) and in 333 patients in the prospective cohort (AUC, 0.784; 95% CI, 0.709–0.859). Consideration of comorbidities might be helpful for the prediction of the 6-month mortality in patients with acute ischemic stroke who receive reperfusion therapy.

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