Children’s Neurological Status Epilepticus and Poor Prognostic Factors through Electroencephalogram Image under Composite Domain Analysis Algorithm

This study aimed to analyze the application of composite domain analysis algorithm for electroencephalogram (EEG) images of children with epilepsy and to investigate the risk factors related to poor prognosis. 70 children with neurological epilepsy admitted to the hospital were selected as the research objects. Besides, the EEG of the children during the intermittent and seizure phases of epilepsy were collected, so as to establish a composite domain analysis algorithm model. Then, the model was applied in EEG analysis. The clinical disease type and prognosis of children were statistically analyzed, and the risk factors that affected the prognosis of children were investigated. The results showed that the EEG signal values of the detail coefficients (d51 and d52) and the approximate coefficient (c5) during the epileptic seizure period were higher markedly than the signal values of the epileptic intermittent period; the EEG signal of the epileptic intermittent period was a transient waveform, which appeared as sharp waves or spikes. The EEG signal of epileptic seizures was continuous, with a composite waveform of sharp waves and spikes, and the change amplitude of the wavelet envelope spectrum during epileptic seizures was also higher hugely than that of intermittent epilepsy. The accurate identification rate, specificity, and sensitivity of EEG analysis with the composite domain algorithm were higher than those without the algorithm. Among the five types of epileptic seizures in children, the proportion of systemic tonic-clonic status was the largest, and the proportion of myoclonic status was equal to that of complex partial epileptic status, both of which were relatively small. The proportion of children with a better prognosis was 75.71% (53/70), which was higher than those with a poor prognosis 24.29% (17/70). Abnormal imaging examination (odds ratio (OR) = 3.823 and 95% confidence interval (CI) = 1.643–8.897); seizure duration greater than 1 hour (OR = 1.855 and 95% CI = 1.076–3.199); C-reactive protein (CRP) (OR = 5.089 and 95% CI = 1.507–17.187); and abnormal blood glucose (OR = 3.077, 95%CI = 1.640–5.773) were all independent risk factors for poor prognosis (all P < 0.05 ). The composite domain analysis algorithm was helpful for clinicians to find the difference in the EEG signals between the epileptic seizure period and the epileptic intermittent period in a short time, thereby improving the doctor’s analysis of the results, which could reflect its marked superiority. In addition, abnormal imaging examinations, convulsion duration greater than 1 hour, CRP, and abnormal blood glucose were independent risk factors for poor prognosis in children. Therefore, the invasion of related risk factors could be reduced clinically by prognostic review with medical advice, attention to food safety and hygiene, and improvement of children’s immunity.

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Treatment of patients with locally advanced Merkel cell carcinoma: A multicenter study.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.15_suppl.e21566 ◽

2021 ◽

Vol 39 (15_suppl) ◽

pp. e21566-e21566

Author(s):

Monika Dudzisz-Śledź ◽

Pawel Sobczuk ◽

Katarzyna Kozak ◽

Tomasz Switaj ◽

Hanna Kosela-Paterczyk ◽

...

Keyword(s):

Risk Factors ◽

Lymph Node ◽

Poor Prognosis ◽

Locally Advanced ◽

Male Gender ◽

Merkel Cell ◽

Nodal Involvement ◽

Free Survival ◽

Independent Risk Factors ◽

Clinical Metastases

e21566 Background: Merkel cell carcinoma (MCC) is a rare, aggressive skin cancer with a high risk of recurrence and poor prognosis. The treatment of locally advanced disease includes surgery (SUR) and radiotherapy (RTH) to achieve high locoregional control rates. The sentinel lymph node biopsy (SLNB) is recommended procedure in cases without clinical nodal involvement. In selected cases, chemotherapy (CHT) may also be considered, but its role is not confirmed. This study aimed to analyze outcomes for locally advanced MCC pts treated in routine clinical practice. Methods: We conducted the retrospective analysis of data from 156 MCC pts treated with curative surgery in four oncological centers, diagnosed between 01/2010 and 12/2019, with data cut-off on 31/12/2020. The data collected included epidemiological and clinical information. Survival analyses were performed using the Kaplan-Meier method, log-rank test and multivariate Cox regression. Results: The median patient age at diagnosis was 72 years (30-94); 50.6% were male. The primary tumor (PT) locations were lower limbs (33.3%), upper limbs (30.1%), and head and neck (28.2%). MCC with no PT was diagnosed in 3.9%. In 62.0% the PT was located in the sun-exposed skin. The median tumor size was 25 mm (4-170). Lymph node (LN) involvement (clinical or positive SLNB or LND) at diagnosis was found in 26.9% (n = 42). The scar excision was done in 50.0% (positive in 16.6%), SLNB in 36.5% (positive in 10.5 %), 51.9% of pts received perioperative treatment, including RTH- 86.4%, CHT- 21%. The relapse rate was 38.3% (35.8% local-regional, 11.1% distant). With the median follow-up of 2.2-years, the median disease-free survival (DFS), local relapse-free survival (LRFS), and distant metastases-free survival (DMFS) were not reached. The 1-year DFS, LRFS and DMFS rates were 65%, 68%, and 90%. The negative independent risk factors for DFS were male gender (HR 1.42, 95%CI 1.06-3.01), metastases in LN at diagnosis (HR 5.41, 95%CI 2.39-12.26), no SLNB in pts with no clinical metastases in LN (HR 5.45, 95%CI 2.41-12.3), and no perioperative RTH (HR 2.19, 95%CI 1.29-3.76). The median overall survival (OS) was 6.9 years (95%CI 4.64-9.15). The negative independent risk factors for OS were male gender (HR 1.95, 95%CI 1.16-3.27), age above 70 (HR 2.0, 95%CI 1.15-3.48), metastases in LN at diagnosis (HR 3.15, 95%CI 1.49-6.68), and no SLNB in pts with no clinical metastases in LN (HR 2.30, 95%CI 1.10-4.82). PT location, UV-exposure, and perioperative CHT or RTH were not independent risk factors for OS. Conclusions: Our results confirm that the MCC treatment should be done in an experienced multidisciplinary team. Male gender, nodal involvement at diagnosis, and no SLNB in pts without clinical metastases in LN are associated with poor prognosis in DFS and OS. The perioperative RTH improves the treatment outcomes and reduces disease progression risk but does not impact OS. Perioperative CHT does not affect pts survival.

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Analysis of Multiple Factors Involved in Pertussis-Like Coughing

Clinical Pediatrics ◽

10.1177/0009922820905871 ◽

2020 ◽

Vol 59 (7) ◽

pp. 641-646

Author(s):

Jiaying Cao ◽

Lu Xu ◽

Jiahua Pan

Keyword(s):

Risk Factors ◽

Bordetella Pertussis ◽

Poor Prognosis ◽

Clinical Symptoms ◽

Lymphocyte Ratio ◽

Study Results ◽

Independent Risk Factors ◽

Wbc Count ◽

Case Data ◽

Inhaled Glucocorticoids

Objectives. To identify risk factors associated with the prognosis of pertussis-like coughing. Methods. A retrospective study on children hospitalized with pertussis-like coughing from 2018 to 2019. We collected all the case data from medical records including age, gender, vaccination, clinical symptoms, complication, pathogens, white blood cell (WBC) count, lymphocyte ratio, application of macrolide antibiotics, usage of sulfamethoxazole, and usage of inhaled glucocorticoids. Logistic regression was used in this study. Results. A total of 213 hospitalized children with pertussis-like coughing were included in this study. About 70 children were cured within 2 weeks. One120 children were cured from 2 weeks to 3 months, including cases of initial attack and relapse. Symptoms lasting longer than 3 months accounts for 10.8%. Bordetella pertussis, WBC count >20 × 109/L and lymphocyte ratio >60% were associated with poor prognosis ( P < .05). Conclusions. Bordetella pertussis, WBC count, and lymphocyte ratio are independent risk factors for poor prognosis.

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Relationship between Random Blood Glucose, Fasting Blood Glucose, and Gensini Score in Patients with Acute Myocardial Infarction

BioMed Research International ◽

10.1155/2019/9707513 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9

Author(s):

Yuhan Qin ◽

Gaoliang Yan ◽

Yong Qiao ◽

Changle Ma ◽

Juchuan Liu ◽

...

Keyword(s):

Risk Factors ◽

Myocardial Infarction ◽

Blood Glucose ◽

Coronary Angiography ◽

Fasting Blood Glucose ◽

Control Group ◽

Multiple Logistic Regression ◽

Gensini Score ◽

Stress Hyperglycemia ◽

Independent Risk Factors

Objective. To examine the relationship between admission random blood glucose (RBG), fasting blood glucose (FBG), and Gensini score in patients with acute myocardial infarction (AMI) to clarify the effects of RBG and FBG on the severity of coronary artery disease. Method. A total of 958 consecutive AMI patients who underwent emergency coronary angiography at the Cardiology Department of Zhongda Hospital (affiliated with Southeast University) were enrolled in this study from January 1, 2016, to December 31, 2018. The Gensini score of each patient was calculated according to the results of coronary angiography. The RBG, FBG, baseline data, hematological indexes, echocardiography parameters, coronary angiography data, and the use of intra-aortic balloon pump (IABP) were recorded. Patients with an RBG level >11.1 mmol/L were classified into the stress hyperglycemia group, and those with an FBG level >7.0 mmol/L were classified into the elevated FBG group. The Gensini scores in the stress hyperglycemia and elevated FBG groups were compared to those in the control group, and correlations between the RBG and FBG levels and the Gensini scores of AMI patients were evaluated. Independent risk factors for the Gensini score were analyzed by multiple linear and multiple logistic regression analyses. Results. The Gensini scores of the stress hyperglycemia group and the elevated FBG group were higher than those of the control group. RBG and FBG were positively correlated with the Gensini score, and there were significant differences between RBG and FBG in different Gensini score groups. After adjusting for confounding factors, multiple linear regression analysis showed that sex, diabetes, estimated glomerular filtration rate (eGFR), and FBG were independent risk factors for the Gensini score. Multiple logistic regression analysis showed that age and FBG were independent risk factors in group 2 compared to group 1, eGFR and FBG were independent risk factors in group 3, and eGFR and FBG were independent risk factors in group 4. Diabetes and RBG were not independent risk factors for the Gensini score. Conclusion. The Gensini scores of patients in the stress hyperglycemia group and the elevated FBG group were significantly higher than those in the control group. RBG and FBG were positively correlated with the Gensini score in AMI patients, and FBG was an independent risk factor for the Gensini score in AMI patients.

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Clinical Characteristics and Risk Factors for Mortality in Very Old Patients Hospitalized With COVID-19 in Spain

The Journals of Gerontology Series A ◽

10.1093/gerona/glaa243 ◽

2020 ◽

Author(s):

Jose-Manuel Ramos-Rincon ◽

Verónica Buonaiuto ◽

Michele Ricci ◽

Jesica Martín-Carmona ◽

Diana Paredes-Ruíz ◽

...

Keyword(s):

Risk Factors ◽

Hospital Mortality ◽

Poor Prognosis ◽

Clinical Characteristics ◽

Atherosclerotic Cardiovascular Disease ◽

X Rays ◽

Old Patients ◽

Very Old ◽

Independent Risk Factors ◽

Male Sex

Abstract Background Advanced age is a well-known risk factor for poor prognosis in COVID-19. However, few studies have specifically focused on very old inpatients with COVID-19. This study aims to describe the clinical characteristics of very old inpatients with COVID-19 and identify risk factors for in-hospital mortality at admission. Methods We conducted a nationwide, multicenter, retrospective, observational study in patients ≥ 80 years hospitalized with COVID-19 in 150 Spanish hospitals (SEMI-COVID-19) Registry (March 1–May 29, 2020). The primary outcome was in-hospital mortality. A uni- and multivariate logistic regression was performed to assess predictors of mortality at admission. Results A total of 2772 consecutive patients (49.4% men, median age 86.3 years) were analyzed. Rates of atherosclerotic cardiovascular disease, diabetes mellitus, dementia, and Barthel Index < 60 were 30.8%, 25.6%, 30.5%, and 21.0%, respectively. The overall case-fatality rate was 46.9% (n: 1301) and increased with age (80–84 years: 41.6%; 85–90 years: 47.3%; 90–94 years: 52.7%; ≥95 years: 54.2%). After analysis, male sex and moderate-to-severe dependence were independently associated with in-hospital mortality; comorbidities were not predictive. At admission, independent risk factors for death were: oxygen saturation < 90%; temperature ≥ 37.8°C; quick sequential organ failure assessment (qSOFA) score ≥ 2; and unilateral–bilateral infiltrates on chest x-rays. Some analytical findings were independent risk factors for death, including estimated glomerular filtration rate < 45 mL/min/1.73 m2; lactate dehydrogenase ≥ 500 U/L; C-reactive protein ≥ 80 mg/L; neutrophils ≥ 7.5 × 103/μL; lymphocytes < 0.8 × 103/μL; and monocytes < 0.5 × 103/μL. Conclusions This first large, multicenter cohort of very old inpatients with COVID-19 shows that age, male sex, and poor preadmission functional status—not comorbidities—are independently associated with in-hospital mortality. Severe COVID-19 at admission is related to poor prognosis.

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Development of a prediction model for 1-year poor prognosis in patients with acute ischemic stroke

Journal of Investigative Medicine ◽

10.1136/jim-2018-000883 ◽

2019 ◽

Vol 67 (6) ◽

pp. 957-963 ◽

Cited By ~ 1

Author(s):

Xia Ling ◽

Bo Shen ◽

Kangzhi Li ◽

Lihong Si ◽

Xu Yang

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Ischemic Stroke ◽

Prediction Model ◽

Acute Ischemic Stroke ◽

Poor Prognosis ◽

Multivariate Logistic Regression ◽

Lemeshow Test ◽

Independent Risk Factors ◽

Auc Value

The goals of this study were to develop a new prediction model to predict 1-year poor prognosis (death or modified Rankin scale score of ≥3) in patients with acute ischemic stroke (AIS) and to compare the performance of the new prediction model with other prediction scales. Baseline data of 772 patients with AIS were collected, and univariate and multivariate logistic regression analyses were performed to identify independent risk factors for 1-year poor prognosis in patients with AIS. The area under the receiver operating characteristics curve (AUC) value of the new prediction model and the THRIVE, iScore and ASTRAL scores was compared. The Hosmer-Lemeshow test was used to assess the goodness of fit of the model. We identified 196 (25.4%) patients with poor prognosis at 1-year follow-up, and of these 68 (68/196, 34.7%) had died. Multivariate logistic regression and receiver operating characteristic curve analyses showed that age ≥70 years, consciousness (lethargy or coma), history of stroke or transient ischemic attack, cancer, abnormal fasting blood glucose levels ≥7.0 mmol/L, and National Institutes of Health Stroke Scale score were independent risk factors for 1-year poor prognosis in patients with AIS. Scores were assigned for each variable by rounding off β coefficient to the integer score, and a new prediction model with a maximum total score of 9 points was developed. The AUC value of the new prediction model was higher than the THRIVE score (p<0.05). The χ2 value for the Hosmer-Lemeshow test was 7.337 (p>0.05), suggesting that the prediction model had a good fit. The new prediction model can accurately predict 1-year poor prognosis in Chinese patients with AIS.

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Skin Perfusion Pressure Is a Prognostic Factor in Hemodialysis Patients

International Journal of Nephrology ◽

10.1155/2012/385274 ◽

2012 ◽

Vol 2012 ◽

pp. 1-7 ◽

Cited By ~ 10

Author(s):

Shingo Hatakeyama ◽

Masaaki Saito ◽

Kumiko Ishigaki ◽

Hayato Yamamoto ◽

Akiko Okamoto ◽

...

Keyword(s):

Risk Factors ◽

Overall Survival ◽

Lower Limb ◽

Poor Prognosis ◽

Perfusion Pressure ◽

Hemodialysis Patients ◽

Smoking History ◽

Skin Perfusion ◽

Skin Perfusion Pressure ◽

Independent Risk Factors

Peripheral arterial disease (PAD) is common in hemodialysis patients and predicts a poor prognosis. We conducted a prospective cohort study to identify risk factors for PAD including skin perfusion pressure (SPP) in hemodialysis patients. The cohort included 373 hemodialysis patients among 548 patients who received hemodialysis at Oyokyo Kidney Research Institute, Hirosaki, Japan from August 2008 to December 2010. The endpoints were lower limb survival (peripheral angioplasty or amputation events) and overall survival of 2 years. Our results showed that <70 mmHg SPP was a poor prognosis for the lower limb survival and overall survival. We also identified age, history of cardiovascular disease, presence of diabetes mellitus, smoking history, and SPP < 70 mmHg as independent risk factors for lower limb survival and overall survival. Then, we constructed risk criteria using the significantly independent risk factors. We can clearly stratify lower limb survival and overall survival of the hemodialysis patients into 3 groups. Although the observation period is short, we conclude that SPP value has the potential to be a risk factor that predicts both lower limb survival and the prognosis of hemodialysis patients.

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Prevalence of chronic renal insufficiency in the Chinese population: A cross-sectional study

10.21203/rs.3.rs-17894/v1 ◽

2020 ◽

Author(s):

Lingling Xu ◽

Jin Liu ◽

Dongling Li ◽

Hua Yang ◽

Kechuan Shi ◽

...

Keyword(s):

Risk Factors ◽

Blood Pressure ◽

Heart Rate ◽

Blood Glucose ◽

Renal Insufficiency ◽

Chronic Renal Insufficiency ◽

Central Obesity ◽

Fasting Blood Glucose ◽

Female Sex ◽

Independent Risk Factors

Abstract Background: The prevalence of chronic kidney disease (CKD) is increasing worldwide, and it has become a global health issue with a high economic burden. Chronic renal insufficiency (CRI), the most severe form of CKD, is associated with increased risks of cardiovascular disease, premature mortality, and decreased quality of life. However, epidemiological information on Chinese patients with CRI is still lacking. This study aimed to investigate the prevalence and epidemiological features of CRI in China. Methods: A total of 395,541 individuals aged ≥ 18 years residing in Binhai county, China were enrolled. e estimated the prevalence of CRI adjusting for age and sex. Associations of age, sex, blood pressure, body mass index, heart rate, and fasting blood glucose and triglyceride levels with CRI were examined. Odds ratios were calculated using a binary logistic regression model. Data were obtained from the records of universal health examinations of Binhai county residents conducted from January to December 2018. Results: The overall adjusted prevalence of CRI was 1.10% (95% confidence interval [CI], 1.07%-1.13%) in this Chinese adult population. The prevalence was 0.86% among men (95% CI, 0.82%-0.90%) and 1.34% among women (95% CI, 1.29%-1.39%). Female sex, age (per 10-year increase), central obesity, triglyceride levels (per 118-mg/dl increase), systolic blood pressure (per 10-mmHg increase), heart rate (per 10-beats/min increase) and fasting blood glucose ≥ 100 mg/dl were found to be independent risk factors for CRI. Conclusions: The overall prevalence of CRI in Chinese adults was 1.10%. Age, female sex, central obesity, higher triglycerides, SBP, heart rate and elevated fasting glucose levels were all independent risk factors associated with decreased eGFR. Health policies to prevent CRI are urgent among this population.

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Diabetes mellitus indicate poor prognosis in uterine serous cancer patients

10.21203/rs.3.rs-261282/v1 ◽

2021 ◽

Author(s):

Yunyun Liu ◽

Jing Li ◽

Zhibo Cheng ◽

Guocai Xu ◽

Yongpai Peng ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Overall Survival ◽

Prognostic Factors ◽

Poor Prognosis ◽

Cox Regression ◽

Figo Stage ◽

Chi Square ◽

Institutional Review ◽

Independent Risk Factors

Abstract Purpose. We aimed to find prognostic factors for uterine serous cancer(USC) patients in a retrospective study.Methods. 51 USC patients between 2010-2020 were enrolled. All pathological specimens were reviewd. The research protocol was approved by Institutional Review Board and all patients were informed consent before the study began. Statistics were done using SPSS 25.0, T test and chi-square analyses were used to compare differences, the overall survival(OS) was estimated with Kaplan-Meier(KM) analysis, univariate and multivariate Cox regression analyses were utilized to find prognostic factors.Results. The median overall survival(OS) and progressive free survival(PFS) were 75.94 and 63.49 months, respectively. Diagnosed with diabetes mellitus(P=0.006, HR=6.792, 95%CI=1.726-26.722) and CA125＞28U/ml(P=0.006, HR=7.136, 95%CI=1.780-28.607) before surgery were independent risk factors for OS, advanced FIGO stage(P=0.001, HR=10.628, 95%CI=2.894-39.026) and DM(P=0.003, HR=6.327, 95%CI=1.875-21.354) were independent factors for PFS. Age≤52, , tumor size≥2.5cm and cervical mucosal infiltration may indicate poor prognosis but were not independent risk factors. Hypertension patients with routine medical treatment tend to survive longer, but there was no statistical differences in OS and PFS compared to patients with normal blood pressure.Conclusion. In addition to surgical and adjuvant treatments, gynecologists should focus more on the comorbid conditions of USC patiens, especially for DM.

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Development a Nomogram to Predict Prognosis in Severe and Critically Ill Patients with COVID-19

10.21203/rs.3.rs-34264/v1 ◽

2020 ◽

Author(s):

Weiping Tan ◽

Ying Zhu ◽

Hui Yi ◽

Yingyu Lin ◽

Yumei Liu ◽

...

Keyword(s):

Risk Factors ◽

Disease Severity ◽

Critically Ill ◽

Critically Ill Patients ◽

Poor Prognosis ◽

Total Bilirubin ◽

Lung Involvement ◽

Factors Associated ◽

Independent Risk Factors ◽

D Dimer

Abstract Background: The number of deaths caused by COVID-19 are on the rising worldwide. This study focused on severe and critically ill COVID-19, aim to explore independent risk factors associated with disease severity and to build a nomogram to predict patients’ prognosis.Methods: Patients with laboratory-confirmed COVID-19 admitted to the Union Hospital, Tongji Medical College and Hankou Hospital of Wuhan, China, from February 8th to April 6th, 2020. LASSO Regression and Multivariate Analysis were applied to screen independent factors. COX Nomogram was built to predict the 7-day, 14-day and 1-month survival probability.Results: A total of 115 severe [73 (63.5%)] and critically ill [42 (36.5%)] patients were included in this study, containing 93 (80.9%) survivors and 22 (19.1%) non-survivors. For disease severity, D-dimer [OR 6.33 (95%CI, 1.27-45.57], eosinophil percentage [OR 8.02 (95%CI, 1.82-45.04)], total bilirubin [OR 12.38 (95%CI, 1.24-223.65)] and lung involvement score [OR 1.22 (95%CI, 1.08-1.40)] were the independent factors associated with critical illness. Troponin [HR 9.02 (95%CI, 3.02, 26.97)] and total bilirubin [HR 3.16 (95%CI, 1.13, 8.85)] were the independent predictors for patients’ prognosis. Troponin≥26.2 ng/L and total bilirubin＞20 μmol/L were associated with poor prognosis. The nomogram based on the independent risk factors had a C-index of 0.92 (95%CI, 0.87, 0.98) for predicting survival probability. The survival nomogram validated in the critically ill patients had a C-index of 0.83 (95%CI: 0.75, 0.94).Conclusions: In conclusion, in severe and critically ill patients with COVID-19, D-dimer, eosinophil percentage, total bilirubin and lung involvement score were the independent risk factors associated with disease severity. The proposed survival nomogram accurately predicted prognosis. The survival analysis may suggest that early incidence of multiple organ dysfunction may be an important predictor of poor prognosis.

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TERT Mutations Correlated With the Prognosis of Patients With Hepatitis B-Related Hepatocellular Carcinoma Underwent Curative Hepatectomy

10.21203/rs.3.rs-283746/v1 ◽

2021 ◽

Author(s):

Kangjian Song ◽

Junyu Huo ◽

Fu He ◽

Qingwei Zhu ◽

Liqun Wu

Keyword(s):

Risk Factors ◽

Hepatocellular Carcinoma ◽

Overall Survival ◽

Hepatitis B ◽

Poor Prognosis ◽

Early Recurrence ◽

Single Factor ◽

Risk Factors For Recurrence ◽

Independent Risk Factors ◽

Curative Hepatectomy

Abstract Background To explore the value of TERT mutations in predicting the early recurrence and prognosis of hepatitis B-related hepatocellular carcinoma (HCC) patients underwent curative hepatectomy.Methods A total of 81 patients with hepatitis B-related HCC were enrolled and all patients underwent curative hepatectomy. Associations were sought between TERT mutations and recurrence rate within 2 years after hepatectomy, time to progress (TTP) and overall survival (OS).Results TERT mutations (HR: 2.985, 95%CI: 1.158-7.692, p=0.024) and Barcelona clinic liver (BCLC) stage B (HR: 3.326, 95%CI: 1.019-10.856, p=0.046) were independent risk factors for recurrence within 2 years after hepatectomy. Patients with a TERT mutation had poor TTP (p=0.003) and OS (p=0.013) than others. TERT mutations (HR: 2.245, 95%CI: 1.185-4.252, p=0.013) and BCLC stage B (HR: 2.132, 95%CI: 1.082-4.198, p=0.029) were independent risk factors for poor TTP after curative hepatectomy. A predictive model based on TERT mutations and BCLC stage had better ability to predict early recurrence after hepatectomy of HCC patients than any single factor (AUC: 0.688 vs. 0.639, 0.688 vs. 0.607, respectively). Patients with both TERT mutations and BCLC stage B had poorer TTP and OS than others (p=0.001, p<0.001, respectively).Conclusion TERT mutations had ability to predict early recurrence and poor prognosis for hepatitis B-related HCC patients underwent curative hepatectomy.

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