scholarly journals Predicting complication risk in spine surgery: a prospective analysis of a novel risk assessment tool

2017 ◽  
Vol 27 (1) ◽  
pp. 81-91 ◽  
Author(s):  
Anand Veeravagu ◽  
Amy Li ◽  
Christian Swinney ◽  
Lu Tian ◽  
Adrienne Moraff ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Risk Stratification ◽  
Spine Surgery ◽  
Assessment Tool ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Acs Nsqip ◽  
Medium Risk

OBJECTIVEThe ability to assess the risk of adverse events based on known patient factors and comorbidities would provide more effective preoperative risk stratification. Present risk assessment in spine surgery is limited. An adverse event prediction tool was developed to predict the risk of complications after spine surgery and tested on a prospective patient cohort.METHODSThe spinal Risk Assessment Tool (RAT), a novel instrument for the assessment of risk for patients undergoing spine surgery that was developed based on an administrative claims database, was prospectively applied to 246 patients undergoing 257 spinal procedures over a 3-month period. Prospectively collected data were used to compare the RAT to the Charlson Comorbidity Index (CCI) and the American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator. Study end point was occurrence and type of complication after spine surgery.RESULTSThe authors identified 69 patients (73 procedures) who experienced a complication over the prospective study period. Cardiac complications were most common (10.2%). Receiver operating characteristic (ROC) curves were calculated to compare complication outcomes using the different assessment tools. Area under the curve (AUC) analysis showed comparable predictive accuracy between the RAT and the ACS NSQIP calculator (0.670 [95% CI 0.60–0.74] in RAT, 0.669 [95% CI 0.60–0.74] in NSQIP). The CCI was not accurate in predicting complication occurrence (0.55 [95% CI 0.48–0.62]). The RAT produced mean probabilities of 34.6% for patients who had a complication and 24% for patients who did not (p = 0.0003). The generated predicted values were stratified into low, medium, and high rates. For the RAT, the predicted complication rate was 10.1% in the low-risk group (observed rate 12.8%), 21.9% in the medium-risk group (observed 31.8%), and 49.7% in the high-risk group (observed 41.2%). The ACS NSQIP calculator consistently produced complication predictions that underestimated complication occurrence: 3.4% in the low-risk group (observed 12.6%), 5.9% in the medium-risk group (observed 34.5%), and 12.5% in the high-risk group (observed 38.8%). The RAT was more accurate than the ACS NSQIP calculator (p = 0.0018).CONCLUSIONSWhile the RAT and ACS NSQIP calculator were both able to identify patients more likely to experience complications following spine surgery, both have substantial room for improvement. Risk stratification is feasible in spine surgery procedures; currently used measures have low accuracy.

scholarly journals Pre-hospital risk assessment in suspected non-ST-elevation acute coronary syndrome: A prospective observational study

2018 ◽  
Vol 9 (1_suppl) ◽  
pp. 5-12 ◽  
Author(s):  
Dominique N van Dongen ◽  
Rudolf T Tolsma ◽  
Marion J Fokkert ◽  
Erik A Badings ◽  
Aize van der Sluis ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Heart Score ◽  
Coronary Syndrome ◽  
Risk Patients ◽  
St Elevation

Background: Pre-hospital risk stratification of non-ST-elevation acute coronary syndrome (NSTE-ACS) by the complete HEART score has not yet been assessed. We investigated whether pre-hospital risk stratification of patients with suspected NSTE-ACS using the HEART score is accurate in predicting major adverse cardiac events (MACE). Methods: This is a prospective observational study, including 700 patients with suspected NSTE-ACS. Risk stratification was performed by ambulance paramedics, using the HEART score; low risk was defined as HEART score ⩽ 3. Primary endpoint was occurrence of MACE within 45 days after inclusion. Secondary endpoint was myocardial infarction or death. Results: A total of 172 patients (24.6%) were stratified as low risk and 528 patients (75.4%) as intermediate to high risk. Mean age was 53.9 years in the low risk group and 66.7 years in the intermediate to high risk group ( p<0.001), 50% were male in the low risk group versus 60% in the intermediate to high risk group ( p=0.026). MACE occurred in five patients in the low risk group (2.9%) and in 111 (21.0%) patients at intermediate or high risk ( p<0.001). There were no deaths in the low risk group and the occurrence of acute myocardial infarction in this group was 1.2%. In the high risk group six patients died (1.1%) and 76 patients had myocardial infarction (14.4%). Conclusions: In suspected NSTE-ACS, pre-hospital risk stratification by ambulance paramedics, including troponin measurement, is accurate in differentiating between low and intermediate to high risk. Future studies should investigate whether transportation of low risk patients to a hospital can be avoided, and whether high risk patients benefit from immediate transfer to a hospital with early coronary angiography possibilities.

scholarly journals Adnexal mass risk assessment: a multivariate index assay for malignancy risk stratification

2019 ◽  
Vol 15 (33) ◽  
pp. 3783-3795
Author(s):  
Zhen Zhang ◽  
Rowan G Bullock ◽  
Herbert Fritsche
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Risk Stratification ◽  
Predictive Value ◽  
Adnexal Mass ◽  
Clinical Performance ◽  
Risk Group ◽  
High Risk Group ◽  
Adnexal Masses ◽  
Immediate Surgery

Aims: Adnexal mass risk assessment (AMRA) stratifies patients with adnexal masses, identifying the relatively small number of malignancies from benigns which might take a ‘watchful waiting’ approach. Methods: AMRA uses seven biomarkers and derived from women with adnexal masses scheduled for surgery. Estimated clinical performance was calculated using fixed prevalence. Results: At 5% prevalence, the high-risk group, 7.9% total, captured 75.9% of invasive malignancies at a positive predictive value of 35.8%. High risk/intermediate risk combined had a sensitivity of 89.7 and 95.6% for pre- and post-menopausal cancers, respectively. The low-risk group, 67.8% total, had an negative predictive value of 99.0%. Conclusion: With highly differentiating risk stratification capability across histological subtypes and stages, AMRA is potentially applicable to patients with adnexal masses to assist deciding whether immediate surgery is recommended.

Treatment stratification in B-cell PTLD after solid organ transplantation (SOT) by international prognostic index (IPI) and response to rituximab: Interim results from the PTLD-2 trial.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 8045-8045
Author(s):  
Ralf Ulrich Trappe ◽  
Christian Koenecke ◽  
Martin H. Dreyling ◽  
Christiane Pott ◽  
Ulrich Duehrsen ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Stratification ◽  
B Cell ◽  
Primary Endpoint ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Solid Organ ◽  
Very High

8045 Background: The PTLD-1 trials have established risk-stratified sequential treatment of B-cell PTLD. After rituximab induction, patients (pts) in complete remission (25 %) received rituximab consolidation, while all others received R-CHOP. The PTLD-2 trial tests modified risk-stratification including clinical risk factors. These are the results of the 2nd scheduled interim analysis (40/60 planned pts). Methods: The prospective, multicenter phase II PTLD-2 trial (NCT02042391) enrols treatment-naïve adult SOT recipients with CD20-positive PTLD. Key exclusion criteria are CNS involvement, ECOG > 2, pregnancy, and severe organ dysfunction or severe, active infection. Treatment consists of rituximab (1400 mg SC; first application 375 mg/m2 IV) on days 1, 8, 15 and 22. After restaging, pts in CR as well as those in PR with ≤ 2 IPI risk factors at diagnosis (low-risk group) continue with four three-weekly courses of rituximab. Most other pts (high-risk group) receive 4 cycles of R-CHOP-21, while thoracic SOT recipients who progress under rituximab (very-high-risk group) receive six cycles of alternating R-CHOP-21 and R-DHAOx. The primary endpoint (event-free survival in the low-risk group) is not analyzed here. Secondary endpoints presented here are response and overall response (ORR) by computed tomography, overall survival (OS), time to progression (TTP) and treatment-related mortality (TRM) overall and by risk group. Results: 40 pts were recruited at 12 centers (2015 – 2019). 21/40 were kidney, 11 lung, 4 liver, 3 heart, and 1 liver/kidney transplant recipients. Median age was 54 years. 38/40 PTLD were monomorphic and 15/40 EBV-associated. 38 pts were evaluated for response at interim staging: 13 were allocated to the low-risk, 17 to the high-risk and 8 to the very-high-risk group. ORR was 28/30 (93 %, CR: 16/30 [53 %]). With a median follow-up of 1.9 years, the 1-year/3-year Kaplan-Meier (KM) estimates of TTP and OS in the intention-to-treat population (40 pts) were 85 %/80 % and 70 %/70 %, respectively. In the low-risk group, the 2-year KM estimate of OS was 100 %. The frequency of infections (all grades) was 50 %, and TRM occurred in 3/40 pts (8 %). Conclusions: One third of enrolled pts were treated in the low-risk group and the recruitment goal for evaluation of the primary endpoint will likely be reached. Interim efficacy and toxicity data with rituximab SC and modified risk-stratification are encouraging despite the inclusion of 35 % thoracic SOT recipients. Clinical trial information: NCT02042391 .

Impact of Stratification of Comorbidities on Nutrition Indices and Survival in Patients on Continuous Ambulatory Peritoneal Dialysis

2009 ◽  
Vol 29 (2_suppl) ◽  
pp. 153-157 ◽  
Author(s):  
Narayan Prasad ◽  
Amit Gupta ◽  
Archana Sinha ◽  
Anurag Singh ◽  
Raj Kumar Sharma ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
High Risk ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Comorbid Illness ◽  
Medium Risk ◽  
Risk Patients

Background Case-mix comorbidities and malnutrition influence outcome in continuous ambulatory peritoneal dialysis (CAPD) patients. In the present study, we analyzed the influence of stratified comorbidities on nutrition indices and survival in CAPD patients. Patients and Methods We categorized 373 CAPD patients (197 with and 176 without diabetes) into three risk groups: low—age under 70 years and no comorbid illness; medium—age 70 – 80 years, or any age with 1 comorbid illness, or age under 70 years with diabetes; high—age over 80 years, or any age with 2 comorbid illnesses. We then compared nutrition indices and malnutrition by subjective global assessment (SGA) between the three groups. Survival was compared using Kaplan–Meier survival analysis. Results Mean daily calorie and protein intakes in the low-risk group (21 ± 6.7 Kcal/kg, 0.85 ± 0.28 g/kg) were significantly higher than in the medium- (17.6 ± 5.2 Kcal/kg, 0.79 ± 0.25 g/kg) and high-risk (17.5 ± 6.1 Kcal/kg, 0.78 ± 0.26 g/kg) groups ( p = 0.001 and p = 0.04 respectively). Relative risk (RR) of malnutrition was less in the low-risk group (103/147, 70.06%) than in the medium-risk group [135/162, 83.3%; RR: 2.0; 95% confidence interval (CI): 2.1 to 3.4; p = 0.01] or the high-risk group (54/64, 84.4%; RR: 2.3; 95% CI: 2.1 to 4.9; p = 0.03). Mean survivals of patients in the low-, medium-, and high-risk groups were 51 patient–months (95% CI: 45.6 to 56.4 patient–months), 43.3 patient–months (95% CI: 37.8 to 48.7 patient–months), and 29.7 patient–months (95% CI: 23 to 36.4 patient–months) respectively (log-rank: 35.9 patient–months; p = 0.001). The 1-, 2-, 3-, 4-, and 5-year patient survivals in the low-, medium-, and high-risk groups were 96%, 87%, 79%, 65%, and 56%; 89%, 67%, 54%, 43%, and 34%; and 76%, 48%, 31%, 30%, and 30% respectively. Conclusions Intake of calories and protein was significantly lower in the medium-risk and high-risk groups than in the low-risk group. Survival was significantly better in low-risk patients than in medium- and high-risk patients.

Cognitively Impaired Older Adults: Risk Profiles for Institutionalization

2003 ◽  
Vol 15 (4) ◽  
pp. 351-366 ◽  
Author(s):  
Laurel A. Strain ◽  
Audrey A. Blandford ◽  
Lori A. Mitchell ◽  
Pamela G. Hawranik
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
High Risk ◽  
Risk Group ◽  
Disruptive Behaviors ◽  
High Risk Group ◽  
Low Risk ◽  
Cognitively Impaired ◽  
Risk Profiles ◽  
Medium Risk

Background: This study focused on the identification of risk profiles for institutionalization among older adults diagnosed with cognitive impairment-not dementia or dementia in 1991/92 and subsequent institutionalization in the following 5-year period. Methods: Data were from a sample of 123 individuals aged 65+ and their unpaid caregivers in Manitoba, Canada. Cluster analysis was conducted using baseline characteristics of age, cognition, disruptive behaviors, ADLs/IADLs, use of formal in-home services, and level of caregiver burden. Results: Three distinct groups emerged (high-risk [n = 12], medium risk [n = 40], and low risk [n = 71]). The high-risk group had the poorest cognitive scores, were the most likely to exhibit disruptive behaviors, were the most likely to need assistance with ADLs and IADLs, and had the highest level of burden among their caregivers. Follow-up of the groups validated the risk profiles; 75% of the high-risk group were institutionalized within the next 5 years, compared to 45% of the medium-risk group and 21% of the low-risk group. Discussion: The risk profiles highlight the diversity among individuals with cognitive impairment and the opportunity for differential targeting of services for the distinct needs of each group.

scholarly journals A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Zhu He ◽  
Kun He ◽  
Rui Qin Huang ◽  
Li Wen Liu ◽  
Shao Wei Ye ◽  
...  
Keyword(s):  
High Risk ◽  
Scoring System ◽  
Tumor Recurrence ◽  
Validation Cohort ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Derivation Cohort ◽  
Medium Risk ◽  
Clinical Scoring

AbstractPreoperative prediction of tumor recurrence after radiofrequency ablation (RFA) in patients with early hepatocellular carcinoma (HCC) is helpful for clinical decision-making before treatment. A total of 162 patients with HCC of 3 cm or less who were completely ablated by percutaneous RFA were divided into a derivation cohort (n = 108) and a validation cohort (n = 54). Based on X-Tiles software, Kaplan–Meier curve analysis and COX multivariate analysis to obtain valuable predictive indicators, a clinical scoring system for predicting tumor recurrence was established. In the verall cohort, derivation cohort and validation cohort, we found circulating tumor cells (CTC) > 2/3.2 mL, alpha-fetoprotein (AFP) > 20 ng/mL, and des-γ-carboxyprothrombin (DCP) > 40 mAU/mL, maximum tumor diameter > 20 mm, and the number of multiple tumors (≥ 2) are independent risk factors affecting tumor recurrence. Each independent risk factor was assigned a score of 1 to construct a predictive clinical scoring system, and X-Tiles software was used to divide the clinical score into a low-risk group (0 score–1 score), a medium-risk group (2 scores–3 scores), and a high-risk group (4 scores–5 scores). The cumulative tumor recurrence rates of patients in the low-risk group, middle-risk group, and high-risk group in 1 year, 2 years, and 3 years were 19.4%/27.5%/30.9%, 37.0%/63.2%/79.9% and 68.2%/100%/100%, respectively (Low-risk group vs medium-risk group: P < 0.001; medium-risk group vs high-risk group: P < 0.001). This clinical scoring system can predict the prognosis of patients with HCC of 3 cm or smaller undergoing percutaneous RFA, which has certain application value for making preoperative clinical decisions.

scholarly journals Predictive ability of the osteoporosis self-assessment tool for assessing the risk of osteoporosis

2019 ◽  
Keyword(s):  
High Risk ◽  
Assessment Tool ◽  
Risk Group ◽  
Osteoporotic Fractures ◽  
High Risk Group ◽  
Low Risk ◽  
Moderate Risk ◽  
Self Assessment ◽  
Number Of Patients ◽  
Increased Risk

Osteoporosis (OP) is a progressive metabolic bone disease caused by disturbed balance between bone formation and bone resorption. Osteoporotic fractures lead to a deterioration in the quality of patients’ life due to high morbidity and mortality, and the economic burden of osteoporotic fractures is expected to increase. Various tools have been developed to assess the risk of osteoporosis in the clinical practice. The Osteoporosis Self-Assessment Tool (OST) is used to predict osteoporosis and is suitable for self-assessment. The purpose of this study is to assess the ability of the OST score to predict the risk of OP. 180 postmenopausal women with a mean age of 61 ± 13 years (38-86 years) were included in the study. The OST score was evaluated using the formula: (body weight  age) × 0.2. Patients were divided into three groups according to the risk of OP: low risk (> -1), moderate risk (-1 to -4) and high risk (<-4). Based on the total lumbar spine T-score, measured by dual-energy X-ray absorptiometry (DEXA), the actual number of the women with OP was established. According to the OST score, 22 women were in the high risk group, 41 women in the moderate risk group, and 117 women in the low risk group. There was a correlation between the risk of OP calculated with OST and the number of patients with OP, established by DEXA measurement - with increased risk of OP, the number of the women with OP also increased (p = 0.000). The percentage of the women with osteoporosis is highest in the high risk group and lowest in the low risk group. In the high risk group, 95.5% of the women had a diagnosis of osteoporosis. These results demonstrate the good ability of OST score to predict the risk of OP in the Bulgarian population.

scholarly journals A Simple and Cheap Hospitalization Risk Assessment Tool for Use in Hemodialysis Patients

2018 ◽  
Vol 46 (4) ◽  
pp. 265-268
Author(s):  
Muhammad Nauman Hashmi ◽  
Hammad Raza ◽  
Wael Elshazly ◽  
Fayez Hejaili ◽  
Abdullah Al Sayyari
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Vascular Access ◽  
Assessment Tool ◽  
Risk Group ◽  
Hemodialysis Patients ◽  
High Risk Group ◽  
Low Risk ◽  
Group Score ◽  
Hospitalization Rates

Objective: To develop a simple, objective, cheap scoring tool incorporating nutritional parameters and other variables to predict hospitalization and mortality among hemodialysis patients – a tool that could be utilized in low resource countries. Methods: The following variables were scored according to severity into 0, 1, 2 or 3: BMI, functional capacity, HD vintage in years, serum albumin, serum ferritin, and the number of comorbid conditions (diabetes mellitus, hypertension, ischemic heart disease, cerebrovascular disease). This tool was evaluated on our regular hemodialysis patients who were followed up for 24 months (June 2015 till July 2017). In our study population, the maximum score recorded was 12; accordingly, a score of 6 was used to differentiate between a low-risk group (score < 6) or a high-risk group (score ≥6). The 2 groups were compared (using the Chi square test) for possible differences in mortality and hospitalization rates during the follow-up period. Results: One hundred and forty adult hemodialysis patients were monitored over 2 years; 83 were males and 57 females; 59% of the patients had diabetes mellitus. Twenty-nine patients (30.7%) were found to be in the high-risk group and 111 (79.3%) in the low-risk group. The high-risk patients were almost one and a half times more likely to be hospitalized for vascular access issues than the low-risk group (p = 0.056) and 3 times more likely to be hospitalized for non-vascular access issues than the low-risk group (p = 0.0001). The mortality rate in the high-risk group was 3.1 times that in the low-risk group, but this was not statistically significant. Conclusion: Using a simple and cheap assessment tool in hemodialysis patients, we have identified patients at high risk for hospitalization rates and mortality. Video Journal Club “Cappuccino with Claudio Ronco” at http://www.karger.com/?doi=490544.

scholarly journals Study of in-hospital outcome in acute myocardial infarction in correlation with thrombolysis in myocardial infarction risk score

2019 ◽  
Vol 7 (6) ◽  
pp. 2377
Author(s):  
Pravin Shingade ◽  
Vinay Meshram ◽  
Umesh Madavi
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Score ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Moderate Risk ◽  
Hospital Outcome ◽  
Timi Risk Score

Background: The Thrombolysis in Myocardial Infarction (TIMI) risk score is purportedly an integral score for mortality risk prediction in fibrinolysis-eligible patients with STEMI. Attempt was made to evaluate the same by correlating risk stratification by TIMI score with hospital outcome of such patients.Methods: There were 145 cases of STEMI were studied and TIMI risk scores were calculated and analysed vis-à-vis various relevant parameters. The patients were divided into three risk groups: ‘low-risk’, ‘moderate-risk’ and ‘high-risk’ based on their TIMI scores. All patients received routine anti-ischemic therapy and were thrombolysed subsequently, monitored in ICCU and followed during hospital stay for occurrence of post-MI complications.Results: There were 79 patients (54.5%) belonged to low-risk group, 48 (33.1%) to moderate-risk group and 18 (12.4%) to high-risk group according to TIMI risk score. The mortality (total 17 deaths) was observed to be highest in the high-risk group (55.6%), followed by moderate-risk (12.2%) and low-risk group (1.28%) respectively. Out of the 7 potentially suspect variables studied, Killips classification grade 2-4 had the highest relative risk (RR-15.85), followed by systolic BP <100mmHg (RR- 10.48), diabetes mellitus (RR- 2.79) and age >65 years (RR- 2.59).Conclusions: The TIMI risk scoring system seems to be one simple, valid and practical bed side tool in quantitative risk stratification and short-term prognosis prediction in patients with STEMI.

scholarly journals Prognosis Evaluation of Universal Acute Coronary Syndrome: The Interplay between SYNTAX Score and ApoB/ApoA1

2020 ◽  
Author(s):  
Xiaotong Wang ◽  
Zhongyu Wang ◽  
Bing Li ◽  
Ping Yang
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Independent Predictor ◽  
High Risk Group ◽  
Low Risk ◽  
Syntax Score ◽  
Coronary Syndrome ◽  
Medium Risk ◽  
Prognosis Evaluation

Abstract Background：Acute coronary syndrome (ACS) is a group of clinical syndromes associated with substantial morbidity and mortality rate. Syntax and Syntax II score used to be a reference for surgical selection of coronary revascularization and prognosis evaluation in patients with 3-vessel or left main artery disease. In addition, apoB/apoA1 is an important predictor of ACS risk. This study aims to assess the prognosis value of different kinds of SYNTAX score together with apoB/apoA1 in universal ACS patients (Regardless of ACS type, lesion location and vessel numbers). Method：396 patients with ACS undergoing percutaneous coronary intervention（PCI）and coronary stenting from 2013 to 2014 were chosen and recorded the major adverse cardiovascular and cerebrovascular events (MACCE) and quality of life during the next 5 years. According to SYNTAX and SYNTAX II score, the patients were divided into low-risk, medium-risk and high-risk groups, and the clinical features, MACCE incidence and EQ-5D score at each time points were compared. And the predictive factors of MACCE incidence were analyzed. Results：①Compared with SYNTAX low-risk group, MACCE incidence in 1 year significantly increased in medium/high risk group（p=0.011）. Compared with SYNTAX II low-risk group, MACCE incidence in 5 years significantly increased in medium and high-risk group（p=0.032）.② Compared with SYNTAX II low-risk group，cardiovascular mortality in 3 and 5 years significantly elevated in high-risk group（p=0.001，p＜0.001 respectively）. ③ Compared with SYNTAX II low and medium-risk group, EQ-5D score in 5 years significantly decreased in high-risk group（p=0.019, p=0.023 respectively）. ④ ApoB/ApoA1 was more likely to be classified as high risk in SYNTAX/SYNTAX II medium and high-risk group（p=0.023，p=0.044 respectively）. ⑤Logistic regression analysis showed that apoB/apoA1 was an independent predictor of MACCE events in hospital and 5 years（p=0.038，p=0.016 respectively），SYNTAX score was an independent predictor of MACCE events in 1 year（medium-risk group：p=0.02；high-risk group：p=0.015）SYNTAX II score was an independent predictor of MACCE events in 5 yeasrs(p=0.003). Conclusions：①SYNTAX score has a high predictive value for short-term prognosis while SYNTAX II score is more predictive of long-term prognosis. ② SYNTAX II score is superior to SYNTAX score in predicting cardiovascular death. ③ The combination of apoB/apoA1 high-risk and SYNTAX II medium and high-risk group is the focus of clinical treatment and long-term follow-up observation.

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