scholarly journals Prediction of Postoperative Delirium after Gastrointestinal Surgery Using the Mie Constructional Apraxia Scale

2021 ◽  
pp. 306-313
Author(s):  
Yosuke Tenpaku ◽  
Masayuki Satoh ◽  
Kenji Kato ◽  
Kazuhisa Fujinaga ◽  
Yuji Haruki ◽  
...  
Keyword(s):  
Roc Curve ◽  
Neuropsychological Tests ◽  
Postoperative Delirium ◽  
Nutritional Assessment ◽  
Gastrointestinal Surgery ◽  
Area Under The Curve ◽  
Education History ◽  
City Hospital ◽  
Significant Difference ◽  
Constructional Apraxia

<b><i>Background:</i></b> Postoperative delirium (POD) is a transient postoperative complication that occurs after surgical procedures. Risk factors reported for POD include dementia and cognitive decline. The purpose of this study was to identify predictors of POD by examining the use of preoperative neuropsychological tests, including the Mie Constructional Apraxia Scale (MCAS), and patient background factors. <b><i>Method:</i></b> The study was performed as a retrospective cohort study. The subjects were 33 patients (mean age, 75.8 ± 10.9 years; male:female ratio, 26:7) who underwent gastrointestinal surgery at Matsusaka City Hospital between December 2019 and April 2021. Data were collected retrospectively from medical records. The study was started after receiving approval from the institution’s ethics committee. The survey items included general patient information, nutritional assessment, surgical information, and neuropsychological tests. Subjects were classified into 2 groups according to the presence or absence of POD. If a significant difference was observed between the 2 groups, the sensitivity, specificity, and area under the curve were calculated using a receiver operating characteristic (ROC) curve. <b><i>Result:</i></b> There were 10 patients in the POD group (male:female ratio, 6:4) and 23 patients in the non-POD group (20:3). The POD group had a shorter education history (<i>p</i> = 0.047) and significantly higher MCAS scores (<i>p</i> = 0.007) than the non-POD group. The ROC curve showed a sensitivity of 90%, a specificity of 69%, and an area under the curve of 0.798 when the MCAS cutoff value was set at 3 points. <b><i>Conclusion:</i></b> Preoperative MCAS results were capable of predicting the occurrence of POD after gastrointestinal surgery. In addition, a relatively short education background was also considered a risk factor for POD.

scholarly journals The Geriatric Nutrition Risk Index versus the Mini-Nutritional Assessment Short Form in predicting postoperative delirium and hospital length of stay among older non-cardiac surgical patients: a prospective cohort study

2019 ◽  
Author(s):  
Yanli Zhao ◽  
Ning Ge ◽  
Dongmei Xie ◽  
Langli Gao ◽  
Yanyan Wang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Length Of Stay ◽  
Postoperative Delirium ◽  
Nutritional Assessment ◽  
Short Form ◽  
Risk Index ◽  
Area Under The Curve ◽  
Mini Nutritional Assessment ◽  
Nutritional Risk ◽  
Surgical Patients

Abstract Backgrounds: Malnutrition has been shown to be associated with a poor prognosis in older surgical patients. Several tools are available for detecting malnutrition. But little is known about their ability to assess risks of postoperative adverse outcomes. The study aimed to compare the ability of the Geriatric Nutritional Risk Index (GNRI) and the Mini-Nutritional Assessment Short Form (MNA-SF) in predicting postoperative delirium (POD) and length of stay (LOS) among older non-cardiac surgical patients. Methods : Prospective study of 288 older non-cardiac surgical patients from the West China Hospital of Sichuan University. Preoperative nutritional status was assessed using the GNRI and MNA-SF, and patients were followed for the occurrence of POD and LOS. Multivariate logistic regression and linear regression analyses were used to identify predictors of these outcomes. The relative performance of the GNRI and MNA-SF as predictors of these outcomes were determined by Receive Operator Characteristic curves (ROC) analyses and the area under the curve (AUC). Results : Multivariate analysis revealed that high nutritional risk (GNRI < 92) and malnutrition/ risk of malnutrition (MNA-SF < 8 and MNA-SF=8-11) were significantly associated with POD. Linear regression analysis showed that low/high nutritional risk (GNRI=92-98 and GNRI < 92) and malnutrition (MNA-SF < 8) were independent predictors of prolonged LOS. Moreover, the area under the curve (AUC) of MNA-SF scores (AUC=0.718, P <0.001, 95%CI: 0.64-0.80) for POD was better than GNRI scores (AUC=0.606, P= 0.019, 95%CI: 0.52-0.69), whereas, GNRI scores (AUC=0.611, P= 0.006, 95%CI: 0.54-0.69) had larger AUC when predicting prolonged LOS as compared to MNA-SF scores (AUC=0.533, P= 0.421, 95%CI: 0.45-0.62). Conclusion : The GNRI was more effective than the MNA-SF at predicting prolonged LOS, but the MNA-SF was a superior predictor of POD in older non-cardiac surgical patients.

scholarly journals Risk Factors to Predict Ocular Metastasis in Older Adult Patients With Gastric Cancer:LDL, ApoA1, and CA724

2022 ◽  
Vol 21 ◽  
pp. 153303382110658
Author(s):  
Wen-Qing Shi ◽  
Shi-Nan Wu ◽  
Tie Sun ◽  
Hui-Ye Shu ◽  
Qi-Chen Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Roc Curve ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Demographic Characteristics ◽  
Curve Analysis ◽  
Apolipoprotein A1 ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Ocular Metastasis

Objective: The purpose of this study was to explore the risk factors for Ocular metastasis (OM) of Gastric cancer (GC). Methods: This is a retrospective cohort study. A total of 1165 patients with GC were enrolled in this study and divided into OM and non-ocular metastasis (NOM) groups. Chi-square and independent samples t tests were used to determine whether differences in demographic characteristics and serological indicators (SI) between the two groups were significant. In addition, binary logistic regression was used to analyze the value of various SI as risk factors for OM in patients with GC. The statistical threshold was set as P < .05. Finally, receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic value of various SI in differentiating the occurrence of OM in patients with GC. Results: The incidence of OM in older adults with GC was 1.1%. Adenocarcinoma was the most common type of GC in both groups, and there was no significant difference in demographic characteristics between the groups. Low-density lipoprotein (LDL), carbohydrate antigen-724 (CA724), and carcinoembryonic antigen levels were significantly higher in the OM group than the NOM group, while those of apolipoprotein A1 (ApoA1) were significantly lower in the OM than the NOM group. Binary logistic analysis showed that LDL, ApoA1, and CA724 were independent risk factors for OM in patients with GC ( P < .001, P = .033, and P = .008, respectively). ROC curve analysis generated area under the curve (AUC) values of 0.881, 0.576, and 0.906 for LDL, ApoA1, and CA724, respectively. In addition, combined analysis of LDL, ApoA1, and CA724 generated the highest AUC value of 0.924 ( P < .001). Conclusion: Among SI, LDL, ApoA1, and CA724 have predictive value for the occurrence of OM in GC, with the three factors combined having the highest value.

scholarly journals Correlation analysis between preoperative systemic immune inflammation index and prognosis of patients after radical gastric cancer surgery: based on propensity score matching method

2022 ◽  
Vol 20 (1) ◽  
Author(s):  
Xu Zhaojun ◽  
Chen Xiaobin ◽  
An Juan ◽  
Yuan Jiaqi ◽  
Jiang Shuyun ◽  
...  
Keyword(s):  
Overall Survival ◽  
Risk Factor ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Roc Curve ◽  
Independent Risk Factor ◽  
Gastrointestinal Surgery ◽  
Kaplan Meier ◽  
Significant Difference ◽  
Immune Inflammation

Abstract Background To explore the correlation between the preoperative systemic immune inflammation index (SII) and the prognosis of patients with gastric carcinoma (GC). Methods The clinical data of 771 GC patients surgically treated in the Department of Gastrointestinal Surgery, Qinghai University Affiliated Hospital from June 2010 to June 2015 were retrospectively analyzed, and their preoperative SII was calculated. The optimal cut-off value of preoperative SII was determined using the receiver operating characteristic (ROC) curve, the confounding factors between the two groups were eliminated using the propensity score matching (PSM) method, and the correlation between preoperative SII and clinicopathological characteristics was assessed by chi-square test. Moreover, the overall survival was calculated using Kaplan-Meier method, the survival curve was plotted, and log-rank test was performed for the significance analysis between the curves. Univariate and multivariate analyses were also conducted using the Cox proportional hazards model. Results It was determined by the ROC curve that the optimal cut-off value of preoperative SII was 489.52, based on which 771 GC patients were divided into high SII (H-SII) group and low SII (L-SII) group, followed by PSM in the two groups. The results of Kaplan-Meier analysis showed that before and after PSM, the postoperative 1-, 3-, and 5-year survival rates in L-SII group were superior to those in H-SII group, and the overall survival rate had a statistically significant difference between the two groups (P < 0.05). Before PSM, preoperative SII [hazard ratio (HR) = 2.707, 95% confidence interval (CI) 2.074-3.533, P < 0.001] was an independent risk factor for the prognosis of GC patients. After 1:1 PSM, preoperative SII (HR = 2.669, 95%CI 1.881–3.788, P < 0.001) was still an independent risk factor for the prognosis of GC patients. Conclusions Preoperative SII is an independent risk factor for the prognosis of GC patients. The increase in preoperative SII in peripheral blood indicates a worse prognosis.

Gestational Age as a Predictor of Pregnancy Outcome After Repeat Cerclage

2021 ◽  
Author(s):  
Benshuo Cai ◽  
Xinni Na
Keyword(s):  
Survival Rate ◽  
Pregnancy Outcome ◽  
Gestational Age ◽  
Roc Curve ◽  
Univariate Analysis ◽  
Area Under The Curve ◽  
Roc Curve Analysis ◽  
Kaplan Meier ◽  
Significant Difference ◽  
The Mean

Abstract Background: The role of repeat cerclage (RC) as a remedy for patients with prolapsed membranes after prior cerclage remains controversial. We aimed to investigate whether gestational age (GA) could be used as a valuable factor for predicting pregnancy outcome following RC in women with prolapsed membranes after prior cerclage. Methods: We retrospectively investigated the clinical data of 29 patients who underwent RC resulting from prolapsed membrane after prior cerclage. Receiving operating characteristic (ROC) curve analysis and univariate analysis were performed to determine predictive factors. Patients were divided into two groups according to GA at RC, GA<24.2 weeks and GA≥24.2 weeks. Pregnancy outcomes were compared between groups.Results: The mean GA at prior cerclage was 16.5 weeks; mean GA at RC was 23.6 weeks. The mean GA at delivery was 27.8 weeks with a 69.0% neonatal survival rate. ROC curve and univariate analysis demonstrated that GA at RC was significantly predictive for neonatal survival (area under the curve: 0.928; p=0.000). Using a GA cut-off of ≥24.2 weeks at RC, the sensitivity and specificity of predicting neonatal survival were 93.75% and 61.54%, respectively. There was a significant difference in neonatal survival rate between the GA <24.2 weeks group and GA ≥24.2 weeks group (38.5% vs. 93.8%, p=0.003). Kaplan–Meier survival curves showed a lower incidence of neonatal death in the GA ≥24.2 weeks group (6.3%) compared with GA <24.2 weeks group (61.5%, p=0.023).Conclusions: GA could be a valuable factor for predicting pregnancy outcome post-RC in women with prolapsed membrane after prior cerclage.

scholarly journals Predictive performance of BI-RADS magnetic resonance imaging descriptors in the context of suspicious (category 4) findings

2016 ◽  
Vol 49 (3) ◽  
pp. 137-143 ◽  
Author(s):  
João Ricardo Maltez de Almeida ◽  
André Boechat Gomes ◽  
Thomas Pitangueiras Barros ◽  
Paulo Eduardo Fahel ◽  
Mário de Seixas Rocha
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multivariate Analysis ◽  
Magnetic Resonance ◽  
Roc Curve ◽  
Breast Imaging ◽  
Area Under The Curve ◽  
Predictive Performance ◽  
Resonance Imaging ◽  
Significant Difference ◽  
Mass Enhancement

Abstract Objective: To determine the positive predictive value (PPV) and likelihood ratio for magnetic resonance imaging (MRI) characteristics of category 4 lesions, as described in the Breast Imaging Reporting and Data System (BI-RADS®) lexicon, as well as to test the predictive performance of the descriptors using multivariate analysis and the area under the curve derived from a receiver operating characteristic (ROC) curve. Materials and Methods: This was a double-blind review study of 121 suspicious findings from 98 women examined between 2009 and 2013. The terminology was based on the 2013 edition of the BI-RADS. Results: Of the 121 suspicious findings, 53 (43.8%) were proven to be malignant lesions, with no significant difference between mass and non-mass enhancement (p = 0.846). The PPVs were highest for masses with a spiculated margin (71%) and round shape (63%), whereas segmental distribution achieved a high PPV (80%) for non-mass enhancement. Kinetic analyses performed poorly, except for type 3 curves applied to masses (PPV of 73%). Logistic regression models were significant for both patterns, although the results were better for masses, particularly when kinetic assessments were included (p = 0.015; pseudo R2 = 0.48; area under the curve = 90%). Conclusion: Some BI-RADS MRI descriptors have high PPV and good predictive performance-as demonstrated by ROC curve and multivariate analysis-when applied to BI-RADS category 4 findings. This may allow future stratification of this category.

scholarly journals An Adjunct Indicator for the Diagnosis of Fracture-Related Infections: Platelet Count to Mean Platelet Volume Ratio

2020 ◽  
Vol 5 (2) ◽  
pp. 54-59
Author(s):  
John Strony ◽  
Taylor Paziuk ◽  
Brianna Fram ◽  
Kyle Plusch ◽  
Gerard Chang ◽  
...  
Keyword(s):  
Platelet Count ◽  
Roc Curve ◽  
Mean Platelet Volume ◽  
Area Under The Curve ◽  
Volume Ratio ◽  
Curve Analysis ◽  
Platelet Volume ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Fracture Nonunion

Abstract. Introduction: Fracture-related infection (FRI) is a common complication associated with orthopaedic fracture care. Diagnosing these complications in the preoperative setting is difficult. Platelets are a known acute phase reactant with indices that change in accordance with infection and inflammation. The purpose of our study was to assess the diagnostic utility of platelet indices at assessing FRI.Methods: A retrospective review performed for all patients who underwent revision surgery for fracture nonunion between 2013 and 2018. Radiographs were employed to define nonunion. Intraoperative cultures were used to define FRI. Receiver operator characteristic (ROC) curve analysis was used to assess the diagnostic ability of preoperative erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and the platelet count/mean platelet volume ratio (P/V) at recognizing FRI.Results: Of the 53 revision surgeries that were performed for fracture nonunion, 17 (32.1%) were identified as FRI. There were no significant demographic differences between the two cohorts. Patients with FRIs exhibited higher values for ESR (54.82 vs. 19.16, p<0.001), CRP (0.90 vs. 0.35, p=0.003), and P/V (37.4 vs. 22.8, p<0.001) as compared to those within the aseptic nonunion cohort. ROC curve analysis for P/V demonstrated that at an optimal ratio of 23, area under the curve (AUC) is 0.814, specificity is 55.6%, and sensitivity is 100.0%. There was no significant difference in the diagnostic performance of the serum biomarkers but only ESR and P/V had an AUC greater than 0.80. The negative predictive value (NPV) for P/V, ESR, and CRP was 100.0%, 84.6%, and 78.6%, respectively.Conclusion: The P/V ratio may serve as a reliable screening test for FRI.

A New Parameter, the Smallest Oblique Sagittal Area of the Neural Foramen, as an Index to Diagnose Cervical Neural Foramen Stenosis

2021 ◽  
pp. 084653712110055
Author(s):  
Yukun Jia ◽  
Zhan Peng ◽  
Jin Li ◽  
Guangye Wang
Keyword(s):  
Roc Curve ◽  
Digital Simulation ◽  
Intraclass Correlation ◽  
Area Under The Curve ◽  
Reference Value ◽  
Neurological Function ◽  
Neural Foramen ◽  
Improvement Rate ◽  
Significant Difference ◽  
Ct Data

Objective: The objective was to reconstruct the cervical neural foramen and accurately measure the minimum oblique sagittal area of the neural foramen. Then, a quantitative diagnostic standard for cervical neural foramen stenosis was proposed and its value as an indication for surgery was evaluated. Methods: (1) CT data were used to reconstruct the neural foramen using Mimics software, and the minimum area was measured. (2) The optimal cut-off value was determined using a receiver operating characteristic (ROC) curve. (3) Patients who underwent single-segment surgery were divided into 2 groups according to the cut-off value. Then the postoperative neurological function improvement rate was analyzed to identify any significant difference between the 2 groups. Results: A total of 1056 neural foramens were measured in 132 patients, of which 495 (46.88%) were diagnosed as radiculopathy by clinical neurological examination. The optimal cut-off value determined by the ROC curve was 25.95 mm2 (sensitivity 74.1%, specificity 80.9%) and the area under the curve (AUC) was 0.827 (95%CI: 0.803-0.849). There was a significant difference in the neurological function improvement rate between the 2 groups after surgery ( P < 0.05). The intraclass correlation coefficient (ICC) was 0.969. Conclusion: Three-dimensional digital simulation reconstruction of CT data is a good measurement method. The optimal cut-off value determined here not only has a certain reference value for the diagnosis of cervical neural foramen bony stenosis, but also helps to select patients suitable for neural foramen decompression and can be used as a reference for surgical indication.

Abstract 12875: Serum Neutrophil Gelatinase-associated Lipocalin Has a Predictive Value for the Neurological Outcome of Post Cardiac Arrest Victims

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Tadashi Kaneko ◽  
Motoki Fujita ◽  
Yasuaki Ogino ◽  
Hiroki Irie ◽  
Shinsuke Iwashita ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Roc Curve ◽  
Predictive Value ◽  
Neurological Outcome ◽  
Neuron Specific Enolase ◽  
Area Under The Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Significant Difference ◽  
Neutrophil Gelatinase

Introduction: Neutrophil gelatinase-associated lopocalin (NGAL) is well known as the biomarker of acute kidney injury. Currently, serum NGAL is reported as the biomarker which is associated with mortality and multiple organ dysfunction syndrome in septic patients. In this study, we measured serum NGAL in post cardiac arrest syndrome (PCAS) patients to investigate the predictive value of neurological outcome. Hypothesis: Serum NGAL is associated with favorable neurological outcome of PCAS patients. Methods: 43 cases of PCAS patients were measured serum NGAL on day 1 and 2, and serum neuron specific enolase (NSE) was also measured on day 2. Patients were divided into two group (group G: CPC 1-2 and group P: CPC 3-5, CPC: cerebral performance categories). Serum NGAL and NSE were compared between group G and P. Receiver operation characteristic (ROC) curve analysis were performed of both NGAL and NSE. Results: Group G (n = 20) and P (n = 23) were analyzed. Serum NGAL showed significant difference in day 2 (G: 282±116 ng/mL v.s. P: 299±87 ng/mL in day1: P = 0.609, G: 185±124 ng/mL v.s. P: 353±110 ng/mL in day 2: P<0.001). The ROC curve analysis showed area under the curve of NGAL in day 2 was 0.871, and the area of NSE in day2 showed 0.918. Conclusions: Serum NGAL in PCAS patients had the predictive value for neurological outcome which is comparable to serum NSE. (This study was supported by grants from Japanese Ministry of Health, Labour and Welfare: No. 25462824)

scholarly journals The Geriatric Nutrition Risk Index versus the Mini-Nutritional Assessment Short Form in predicting postoperative delirium and hospital length of stay among older non-cardiac surgical patients: a prospective cohort study

2020 ◽  
Author(s):  
Yanli Zhao ◽  
Ning Ge ◽  
Dongmei Xie ◽  
Langli Gao ◽  
Yanyan Wang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Length Of Stay ◽  
Postoperative Delirium ◽  
Nutritional Assessment ◽  
Short Form ◽  
Risk Index ◽  
Area Under The Curve ◽  
Mini Nutritional Assessment ◽  
Nutritional Risk ◽  
Surgical Patients

Abstract Backgrounds : Malnutrition has been shown to be associated with poor prognosis in older surgical patients. Several tools are available for detecting malnutrition. But little is known about their ability to assess risks of postoperative adverse outcomes. The study aimed to compare the ability of the Geriatric Nutritional Risk Index (GNRI) and the Mini-Nutritional Assessment Short Form (MNA-SF) in predicting postoperative delirium (POD) and length of stay (LOS) among older non-cardiac surgical patients. Methods : Prospective study of 288 older non-cardiac surgical patients from the West China Hospital of Sichuan University. Preoperative nutritional status was assessed using the GNRI and MNA-SF, and patients were followed for the occurrence of POD and LOS. Multivariable logistic regression and linear regression analyses were used to identify predictors of these outcomes. The relative performance of the GNRI and MNA-SF as predictors of these outcomes were determined by Receiver Operating Characteristic curves (ROC) analyses and the area under the curve (AUC) . Results : Multivariable analysis revealed that preoperative malnutrition by the MNA-SF was significantly associated with POD. Linear regression analysis showed that preoperative low/high nutritional risk of the GNRI and malnutrition by the MNA-SF were independent predictors of prolonged LOS. Moreover, the area under the curve (AUC) of MNA-SF scores for POD was better than GNRI scores (AUC=0.718, 95%CI: 0.64-0.80, P <0.001 vs AUC=0.606, 95%CI: 0.52-0.69, P= 0.019; Delong’s test, P=0.006), but the AUC of GNRI scores and MNA-SF scores have no significant difference when predicting prolonged LOS (AUC=0.611, 95%CI: 0.54-0.69, P= 0.006 vs AUC=0.533, 95%CI: 0.45-0.62, P= 0.421; Delong’s test, P=0.079). Conclusion : The MNA-SF was more effective than the GNRI at predicting the development of POD, but the two nutrition screening methods have similar performance in predicting prolonged LOS among older non-cardiac surgical patients.

scholarly journals AK098656: a new biomarker of coronary stenosis severity in hypertensive and coronary heart disease patients

2022 ◽  
Vol 14 (1) ◽  
Author(s):  
Xin Wang ◽  
Ya-li Wu ◽  
Yuan-yuan Zhang ◽  
Jing Ke ◽  
Zong-wei Wang ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Roc Curve ◽  
Coronary Stenosis ◽  
Area Under The Curve ◽  
Discrimination Ability ◽  
Chd Risk ◽  
Significant Difference ◽  
Stenosis Severity ◽  
Novel Target

Abstract Background AK098656 may be an adverse factor for coronary heart disease (CHD), especially in patients with hypertension. This study aimed to analyze the effect of AK098656 on CHD and CHD with various complications. Methods A total of 117 CHD patients and 27 healthy control subjects were enrolled in the study. Plasma AK098656 expression was determined using the quantitative real-time polymerase chain reaction. Student’s t-test was used to compare AK098656 expression levels in different groups. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to quantify the discrimination ability between CHD patients and health controls and between CHD and CHD + complications patients. The relationship between AK098656 and coronary stenosis was analyzed using Spearman’s correlation. Results AK098656 expression was remarkably higher in CHD patients than in healthy controls (P = 0.03). The ROC curve revealed an effective predictive AK098656 expression value for CHD risk, with an AUC of 0.656 (95% CI 0.501–0.809). Moreover, AK098656 expression was increased in CHD + complications patients compared to CHD patients alone (P = 0.005), especially in patients with hypertension (CHD + hHTN, P = 0.030). The ROC curve revealed a predictive AK098656 prognostic value for discriminating between CHD and CHD + hHTN patients, with an AUC of 0.666 (95% CI 0.528–0.805). There was no significant difference in AK098656 expression in CHD patients with diabetes mellitus compared to CHD patients alone. In addition, AK098656 expression in CHD patients was positively correlated with stenosis severity (R = 0.261, P = 0.006). Conclusion AK098656 expression was significantly increased in patients with CHD, especially those with hypertension, and its expression level was positively correlated with the degree of coronary stenosis. This implied that AK098656 may be a risk factor for CHD and can potentially be applied in clinical diagnosis or provide a novel target for treatment.

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