Increased Visceral Adipose Tissue and Hyperinsulinemia Raise the Risk for Recurrence of Non-B Non-C Hepatocellular Carcinoma after Curative Treatment

We investigated the factors affecting recurrence-free survival in patients with non-B non-C hepatocellular carcinoma (HCC) who received curative treatment. Decision-tree analysis was performed in 72 curative cases of non-B non-C HCC to extract the risk factors for recurrence. The reliability of the extracted risk factors was evaluated using the Kaplan–Meier method and the Cox proportional hazards model. The decision-tree analysis extracted three factors—visceral adipose tissue (VAT) index (VATI; <71 and ≥71 cm2/m2), which was the cross-sectional areas of VAT on the computed tomographic image at the umbilical level, normalized by the square of the height, fasting immunoreactive insulin (FIRI; <5.5 and ≥5.5 µU/mL), and alpha-fetoprotein (AFP; <11 and ≥11 ng/mL). The Cox proportional hazards model showed that VATI (hazard ratio (HR): 2.556, 95% confidence interval (CI): 1.191–5.486, p = 0.016), FIRI (HR: 3.149, 95% CI: 1.156–8.575, p = 0.025), and AFP (HR: 3.362, 95% CI: 1.550–7.288, p = 0.002) were all independent risk factors for HCC recurrence. Non-B non-C HCC patients with a higher VATI (≥71 cm2/m2) or higher FIRI (≥5.5 µU/mL) and AFP (≥11 ng/mL) if VATI was <71 cm2/m2 are prone to recurrence after curative treatment.

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Risk factors for disease progression in low-teens normal-tension glaucoma

British Journal of Ophthalmology ◽

10.1136/bjophthalmol-2018-313375 ◽

2019 ◽

Vol 104 (1) ◽

pp. 81-86 ◽

Cited By ~ 2

Author(s):

Sung Uk Baek ◽

Ahnul Ha ◽

Dai Woo Kim ◽

Jin Wook Jeoung ◽

Ki Ho Park ◽

...

Keyword(s):

Risk Factors ◽

Disease Progression ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Normal Tension Glaucoma ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Diurnal Iop

Background/AimsTo investigate the risk factors for disease progression of normal-tension glaucoma (NTG) with pretreatment intraocular pressure (IOP) in the low-teens.MethodsOne-hundred and two (102) eyes of 102 patients with NTG with pretreatment IOP≤12 mm Hg who had been followed up for more than 60 months were retrospectively enrolled. Patients were divided into progressor and non-progressor groups according to visual field (VF) progression as correlated with change of optic disc or retinal nerve fibre layer defect. Baseline demographic and clinical characteristics including diurnal IOP and 24 hours blood pressure (BP) were compared between the two groups. The Cox proportional hazards model was used to identify the risk factors for disease progression.ResultsThirty-six patients (35.3%) were classified as progressors and 66 (64.7%) as non-progressors. Between the two groups, no significant differences were found in the follow-up periods (8.7±3.4 vs 7.7±3.2 years; p=0.138), baseline VF mean deviation (−4.50±5.65 vs −3.56±4.30 dB; p=0.348) or pretreatment IOP (11.34±1.21 vs 11.17±1.06 mm Hg; p=0.121). The multivariate Cox proportional hazards model indicated that greater diurnal IOP at baseline (HR=1.609; p=0.004), greater fluctuation of diastolic BP (DBP; HR=1.058; p=0.002) and presence of optic disc haemorrhage during follow-up (DH; HR=3.664; p=0.001) were risk factors for glaucoma progression.ConclusionIn the low-teens NTG eyes, 35.3% showed glaucoma progression during the average 8.7 years of follow-up. Fluctuation of DBP and diurnal IOP as well as DH were significantly associated with greater probability of disease progression.

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Incidence and Survival Changes in Patients with Esophageal Adenocarcinoma during 1984–2013

BioMed Research International ◽

10.1155/2019/7431850 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Zhang Haiyu ◽

Pei Xiaofeng ◽

Mo Xiangqiong ◽

Qiu Junlan ◽

Zheng Xiaobin ◽

...

Keyword(s):

United States ◽

Risk Factors ◽

Esophageal Adenocarcinoma ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

The United States ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Potential Risk Factors

Purpose. The morbidity of esophageal adenocarcinoma (EAC) has significantly increased in Western countries. We aimed to identify trends in incidence and survival in patients with EAC in the recent 30 years and then analyzed potential risk factors, including race, sex, age, and socioeconomic status (SES). Methods. All data were collected from the Surveillance, Epidemiology, and End Results or SEER database. Kaplan–Meier analysis and the Cox proportional hazards model were conducted to compare the differences in survival between variables, including sex, race, age, and SES, as well as to evaluate the association of these factors with prognosis. Results. A total of 16,474 patients with EAC were identified from 1984 to 2013 in the United States. Overall incidence increased every 10 years from 1.8 to 3.1 to 3.9 per 100. Overall survival gradually improved (p<0.0001), which was evident in male patients ((hazard ratio (HR) = 1.111; 95% confidence interval (CI) (1.07, 1.15)); however, the 5-year survival rate remained low (20.1%). The Cox proportional hazards model identified old age, black ethnicity, and medium/high poverty as risk factors for EAC (HR = 1.018; 95% CI (1.017, 1.019; HR = 1.240, 95% CI (1.151,1.336), HR = 1.000, 95% CI (1.000, 1.000); respectively). Conclusions. The incidence of EAC in the United States increased over time. Survival advantage was observed in white patients and patients in the low-poverty group. Sex was an independent prognostic factor for EAC, but this finding has to be confirmed by further research.

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Risk Factors for Mortality in Chinese Patients on Continuous Ambulatory Peritoneal Dialysis

Peritoneal Dialysis International ◽

10.3747/pdi.2013.00164 ◽

2015 ◽

Vol 35 (2) ◽

pp. 199-205 ◽

Cited By ~ 8

Author(s):

Fan Zhang ◽

Hong Liu ◽

Xiaoli Gong ◽

Fuyou Liu ◽

Youming Peng ◽

...

Keyword(s):

Risk Factors ◽

Peritoneal Dialysis ◽

Continuous Ambulatory Peritoneal Dialysis ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Patient Survival ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Kaplan Meier

ObjectiveThe intent of this study was to evaluate the clinical outcome and risk factors affecting mortality of the continuous ambulatory peritoneal dialysis (CAPD) patients in a single peritoneal dialysis (PD) center over a period of 10 years.Patients and methodsWe retrospectively analyzed patients on PD from June 2001 to June 2011. The clinical and biochemical data were collected from the medical records. Clinical variables included gender, age at the start of PD, smoking status, body mass index (BMI), cause of end-stage renal disease (ESRD), presence of diabetes mellitus and blood pressure. Biochemical variables included hemoglobin, urine volume, residual renal function (RRF), serum albumin, blood urea nitrogen (BUN), creatinine, total cholesterol, triglyceride, comorbidities, and outcomes. Survival curves were made by the Kaplan-Meier method. Univariate and multivariate analyses to identify mortality risk factors were performed using the Cox proportional hazard regression model.ResultsA total of 421 patients were enrolled, 269 of whom were male (63.9%). The mean age at the start of PD was 57.9 ± 14.8 years. Chronic glomerulonephritis was the most common cause of ESRD (39.4%). Estimation of patient survival by Kaplan-Meier was 92.5%, 80.2%, 74.4%, and 55.7% at 1, 3, 5, and 10 years, respectively. Patient survival was associated with age (hazard ratio [HR]: 1.641 [1.027 – 2.622], p = 0.038), cardiovascular disease (HR: 1.731 [1.08 – 2.774], p = 0.023), hypertriglyceridemia (HR: 1.782 [1.11 – 2.858], p = 0.017) in the Cox proportional hazards model analysis. Estimation of technique survival by Kaplan-Meier was 86.7%, 68.8%, 55.7%, and 37.4% at 1, 3, 5, and 10 years, respectively. In the Cox proportional hazards model analysis, age (HR: 1.672 [1.176 – 2.377], p = 0.004) and hypertriglyceridemia (HR: 1.511 [1.050 – 2.174], p = 0.026) predicted technique failure.ConclusionThe PD patients in our center exhibited comparable or even superior patient survival and technical survival rates, compared with reports from other centers in China and other countries.

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The Real-World status and risk factors for a poor prognosis in elderly patients with primary central nervous system malignant lymphomas: a multicenter retrospective cohort study of the Tohoku Brain Tumor Study Group

10.21203/rs.3.rs-291646/v1 ◽

2021 ◽

Author(s):

Kenichiro Asano ◽

Yoji Yamashita ◽

Takahiro Ono ◽

Manabu Natsumeda ◽

Takaaki Beppu ◽

...

Keyword(s):

Risk Factors ◽

Central Nervous System ◽

Nervous System ◽

Poor Prognosis ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Pre Treatment

Abstract Introduction The number of elderly patients with primary central nervous system malignant lymphoma(EL-PCNSL) has been increasing. However, due to their poor pre-treatment Karnofsky Performance Status(KPS) and many comorbidities, it is possible that sufficient treatment has not been performed. We therefore conducted a retrospective cohort study to evaluate risk factors associated with a poor prognosis of the Real-World status of EL-PCNSL in the Tohoku Brain Tumor Study Group. Methods Patients aged ≥ 71 years with PCNSL were enrolled from 8 centers. Univariate analysis was performed by the log-rank test. A Cox proportional hazards model was used for multivariate analysis. Results Three of total 142 cases received best supportive care(BSC) from the beginning. Treatment was given to 30 cases without a pathological diagnosis, 3 cases with a cerebrospinal fluid diagnosis, and 100 cases with CD20-positive DLBCL diagnosis. Total 133 cases(median age 76 years) were included. The median pre-treatment KPS was 50%. There were 117(88.0%) patients with 213 pre-treatment comorbidities(1.8 comorbidities per patient). PFS and OS were 16 months and 24 months, respectively. Risk factors associated with poor prognosis on Cox proportional hazards model were pre-treatment cardiovascular disease and central nervous system disease comorbidities, post-treatment pneumonia and other infections, and the absence of radiation or chemotherapy. Conclusions EL-PCNSL was actively treated and BSC was only a few. Pre-treatment comorbidities and post-treatment complications would influence the prognosis. Radiation and chemotherapy were found to be effective, but no conclusions could be drawn regarding the content of chemotherapy and whether additional radiation therapy should be used.

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Efficacy Analysis of Multidisciplinary Treatment for Wilm’s Tumor in Single Center

10.21203/rs.3.rs-1185550/v1 ◽

2022 ◽

Author(s):

Bing Yan ◽

Fengming Ji ◽

Chengchuang Wu ◽

Ye Li ◽

Haoyu Tang ◽

...

Keyword(s):

Risk Factors ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Multidisciplinary Treatment ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Histological Type ◽

Factors Affecting ◽

Hazards Model ◽

Kaplan Meier

Abstract Objective: To analyze the efficacy of multidisciplinary treatment (MDT) for Wilm’s tumor (WT) in Kunming Children’s Hospital, and investigate the risk factors affecting the prognosis of WT.Method: The clinic-pathological data were collected and analyzed in patients with unilateral WT treated in Kunming Children's Hospital from January 2017 to July 2021. Research objects were selected according to inclusion criteria and exclusion criteria. The risk factors and independent risk factors that affect the prognosis of patients with WT were determined by Kaplan-Meier survival analysis and Cox proportional hazards model, respectively. Outcome: A total of 68 children were included in this study, and the 5-year overall survival (OS) rate was 92.65%. Kaplan-Meier survival analysis results showed that ethnicity (P=0.020), the tumor volume of resection (P=0.001), histological type (P<0.001), and postoperative recurrence (P<0.001) were the factors affecting the prognosis of children with WT. The results of the Cox proportional hazards model showed that only the histological type (P=0.028) was the independent risk factor for the prognosis of WT.Conclusion: The efficacy of MDT for WT was satisfying. The histological type has important predictive value for the prognosis of WT, and the patient with unfavorable histology has a poor prognosis.

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Management and 30-Day Mortality of Acute Coronary Syndrome in a Resource-Limited Setting: Insight From Ethiopia. A Prospective Cohort Study

Frontiers in Cardiovascular Medicine ◽

10.3389/fcvm.2021.707700 ◽

2021 ◽

Vol 8 ◽

Author(s):

Korinan Fanta ◽

Fekadu Bekele Daba ◽

Elsah Tegene Asefa ◽

Tsegaye Melaku ◽

Legese Chelkeba ◽

...

Keyword(s):

Risk Factors ◽

Clinical Characteristics ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Reperfusion Therapy ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Coronary Syndrome ◽

Hazards Model ◽

All Cause Mortality

Background: Despite the fact that the burden, risk factors, and clinical characteristics of acute coronary syndrome (ACS) have been studied widely in developed countries, limited data are available from sub-Saharan Africa. Therefore, this study aimed at evaluating the clinical characteristics, treatment, and 30-day mortality of patients with ACS admitted to tertiary hospitals in Ethiopia.Methods: A total of 181 ACS patients admitted to tertiary care hospitals in Ethiopia were enrolled from March 15 to November 15, 2018. The clinical characteristics, management, and 30-day mortality were evaluated by ACS subtype. The Cox proportional hazards model was used to determine the predictors of 30-day all-cause mortality. A p-value < 0.05 was considered statistically significant.Results: The majority (61%) of ACS patients were admitted with ST-segment elevation myocardial infarction (STEMI). The mean age was 56 years, with male predominance (62.4%). More than two-thirds (67.4%) of patients presented to hospital after 12 h of symptom onset. Dyslipidemia (48%) and hypertension (44%) were the most common risk factors identified. In-hospital dual antiplatelet and statin use was high (>90%), followed by beta-blockers (81%) and angiotensin-converting enzyme inhibitors (ACEIs; 72%). Late reperfusion with percutaneous coronary intervention (PCI) was done for only 13 (7.2%), and none of the patients received early reperfusion therapy. The 30-day all-cause mortality rate was 25.4%. On multivariate Cox proportional hazards model analysis, older age [hazard ratio (HR) = 1.03, 95% CI = 1.003–1.057], systolic blood pressure (HR = 0.99, 95% CI = 0.975–1.000), serum creatinine (HR = 1.32, 95% CI = 1.056–1.643), Killip class > II (HR = 4.62, 95% CI = 2.502–8.523), ejection fraction <40% (HR = 2.75, 95% CI = 1.463–5.162), and STEMI (HR = 2.72, 95% CI = 1.006–4.261) were independent predictors of 30-day mortality.Conclusions: The 30-day all-cause mortality rate was unacceptably high, which implies an urgent need to establish a nationwide program to reduce pre-hospital delay, promoting the use of guideline-directed medications, and increasing access to reperfusion therapy.

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Clinical course and risk factors of fatal adverse outcomes in COVID-19 patients in Korea: a nationwide retrospective cohort study

Scientific Reports ◽

10.1038/s41598-021-89548-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Juhyun Song ◽

Dae Won Park ◽

Jae-hyung Cha ◽

Hyeri Seok ◽

Joo Yeong Kim ◽

...

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Retrospective Cohort ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Adverse Outcomes ◽

Cox Proportional Hazards Model ◽

Icu Admission ◽

Hazards Model

AbstractWe investigated association between epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) patients and clinical outcomes in Korea. This nationwide retrospective cohort study included 5621 discharged patients with COVID-19, extracted from the Korea Disease Control and Prevention Agency (KDCA) database. We compared clinical data between survivors (n = 5387) and non-survivors (n = 234). We used logistic regression analysis and Cox proportional hazards model to explore risk factors of death and fatal adverse outcomes. Increased odds ratio (OR) of mortality occurred with age (≥ 60 years) [OR 11.685, 95% confidence interval (CI) 4.655–34.150, p < 0.001], isolation period, dyspnoea, altered mentality, diabetes, malignancy, dementia, and intensive care unit (ICU) admission. The multivariable regression equation including all potential variables predicted mortality (AUC = 0.979, 95% CI 0.964–0.993). Cox proportional hazards model showed increasing hazard ratio (HR) of mortality with dementia (HR 6.376, 95% CI 3.736–10.802, p < 0.001), ICU admission (HR 4.233, 95% CI 2.661–6.734, p < 0.001), age ≥ 60 years (HR 3.530, 95% CI 1.664–7.485, p = 0.001), malignancy (HR 3.054, 95% CI 1.494–6.245, p = 0.002), and dyspnoea (HR 1.823, 95% CI 1.125–2.954, p = 0.015). Presence of dementia, ICU admission, age ≥ 60 years, malignancy, and dyspnoea could help clinicians identify COVID-19 patients with poor prognosis.

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442. Sex-Related Differences in Mortality from COVID-19: Survival Analysis of Patients from an Urban Hospital

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.641 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S323-S323

Author(s):

Mamta Sharma ◽

Susan M Szpunar ◽

Ashish Bhargava ◽

Leonard B Johnson ◽

Louis Saravolatz

Keyword(s):

Risk Factors ◽

Survival Analysis ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Factors Associated ◽

Hazards Model ◽

Cox Proportional Hazards Models ◽

Failure Assessment

Abstract Background Mortality from COVID-19 is associated with male sex, older age, black race, and comorbidities including obesity. Our study identified risk factors for in-hospital mortality from COVID-19 using survival analysis at an urban center in Detroit, MI. Methods This was a single-center historical cohort study. We reviewed the electronic medical records of patients positive for severe acute respiratory syndrome coronavirus 2 (the COVID-19 virus) on qualitative polymerase-chain-reaction assay, who were admitted between 3/8-6/14/20. We assessed risk factors for mortality using Kaplan-Meier analysis and Cox proportional hazards models. Results We included 565 patients with mean age (standard deviation) 64.4 (16.2) years, 52.0% male (294) and 77.2% (436) black/African American. The overall mean body mass index (BMI) was 32.0 (9.02) kg/m2. At least one comorbidity was present in 95.2% (538) of patients. The overall case-fatality rate was 30.4% (172/565). The unadjusted mortality rate among males was 33.7% compared to 26.9% in females (p=0.08); the median time to death (range) for males was 16.8 (0.3, 33.9) compared to 14.2 (0.32, 47.7) days for females (p=0.04). Univariable survival analysis with Cox proportional hazards models revealed that age (p=< 0.0001), admission from a facility (p=0.002), public insurance (p< 0.0001), respiratory rate ≥ 22 bpm (p=0.02), lymphocytopenia (p=0.07) and serum albumin (p=0.007) were additional risk factors for mortality (Table 1). From multivariable Cox proportional hazards modeling (Table 2), after controlling for age, Charlson score and qSofa, males were 40% more likely to die than females (p=0.03). Table 1. Univariate analysis with Cox proportional hazards model on factors associated with mortality in patients with COVID-19 Abbreviations: HR: Hazard ratio, CI: Confidence interval Table 2. Multivariable analysis with Cox proportional hazards model on factors associated with mortality in patients with COVID-19 Abbreviations: HR: Hazard ratio, CI: Confidence interval, CWIC: Charlson weighted index of comorbidity, qSOFA: Quick sepsis related organ failure assessment Conclusion After controlling for risk factors for mortality including age, comorbidity and sepsis-related organ failure assessment, males continued to have a higher hazard of death. These demographic and clinical factors may help healthcare providers identify risk factors from COVID-19. Disclosures All Authors: No reported disclosures

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The characteristics of laboratory tests at admission and the risk factors for adverse clinical outcomes of severe and critical COVID-19 patients

BMC Infectious Diseases ◽

10.1186/s12879-021-06057-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Liulin Wang ◽

Xiaobin Cheng ◽

Qiufen Dong ◽

Chenliang Zhou ◽

Yeming Wang ◽

...

Keyword(s):

Risk Factors ◽

Blood Cell ◽

White Blood Cell Count ◽

White Blood Cell ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Blood Cell Count ◽

Hazards Model

Abstract Background The current coronavirus disease 2019 (COVID-19) is a public health emergency. In this study, we aimed to evaluate the risk factors for mortality in severe and critical COVID-19 patients. Methods We performed a retrospective study of patients diagnosed with severe and critical COVID-19 from four hospitals in Wuhan, China, by evaluating the clinical characteristics and laboratory results, and using Cox proportional hazards model to assess the risk factors involved in disease progression. Results In total, 446 patients with COVID-19 were enrolled. The study indicated a high mortality rate (20.2%) in severe and critical COVID-19 patients. At the time of admission, all patients required oxygen therapy, and 52 (12%) required invasive mechanical ventilation, of which 50 (96%) died. The univariate Cox proportional hazards model showed a white blood cell count of more than 10 × 109/L (HR 3.993,95%CI 2.469 to 6.459) that correlated with an increased mortality rate. The multivariable Cox proportional hazards model demonstrated that older age (HR 1.066, 95% CI 1.043 to 1.089) and higher white blood cell count (HR 1.135, 95% CI 1.080 to 1.192) were independent risk factors for determining COVID-19 associated mortality. Conclusions COVID-19 is associated with a significant risk of morbidity and mortality in the population. Older age and higher white blood cell count were found to be independent risk factors for mortality.

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Risk factors associated with major adverse cardiac and cerebrovascular events following percutaneous coronary intervention: a 10-year follow-up comparing random survival forest and Cox proportional-hazards model

BMC Cardiovascular Disorders ◽

10.1186/s12872-020-01834-1 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Maryam Farhadian ◽

Sahar Dehdar Karsidani ◽

Azadeh Mozayanimonfared ◽

Hossein Mahjub

Keyword(s):

Proportional Hazards ◽

Proportional Hazards Model ◽

Coronary Intervention ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Hazards Model ◽

Cerebrovascular Events ◽

Long Term Follow Up ◽

Stent Length

Abstract Background Due to the limited number of studies with long term follow-up of patients undergoing Percutaneous Coronary Intervention (PCI), we investigated the occurrence of Major Adverse Cardiac and Cerebrovascular Events (MACCE) during 10 years of follow-up after coronary angioplasty using Random Survival Forest (RSF) and Cox proportional hazards models. Methods The current retrospective cohort study was performed on 220 patients (69 women and 151 men) undergoing coronary angioplasty from March 2009 to March 2012 in Farchshian Medical Center in Hamadan city, Iran. Survival time (month) as the response variable was considered from the date of angioplasty to the main endpoint or the end of the follow-up period (September 2019). To identify the factors influencing the occurrence of MACCE, the performance of Cox and RSF models were investigated in terms of C index, Integrated Brier Score (IBS) and prediction error criteria. Results Ninety-six patients (43.7%) experienced MACCE by the end of the follow-up period, and the median survival time was estimated to be 98 months. Survival decreased from 99% during the first year to 39% at 10 years' follow-up. By applying the Cox model, the predictors were identified as follows: age (HR = 1.03, 95% CI 1.01–1.05), diabetes (HR = 2.17, 95% CI 1.29–3.66), smoking (HR = 2.41, 95% CI 1.46–3.98), and stent length (HR = 1.74, 95% CI 1.11–2.75). The predictive performance was slightly better by the RSF model (IBS of 0.124 vs. 0.135, C index of 0.648 vs. 0.626 and out-of-bag error rate of 0.352 vs. 0.374 for RSF). In addition to age, diabetes, smoking, and stent length, RSF also included coronary artery disease (acute or chronic) and hyperlipidemia as the most important variables. Conclusion Machine-learning prediction models such as RSF showed better performance than the Cox proportional hazards model for the prediction of MACCE during long-term follow-up after PCI.

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