• Title/Summary/Keyword: Prognostic model

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Analysis on Survival and Prognostic Factors for Cancer Patients with Malignancy-associated Hypercalcemia

  • Zhang, Su-Jie;Hu, Yi;Cao, Jing;Qian, Hai-Li;Jiao, Shun-Chang;Liu, Zhe-Feng;Tao, Hai-Tao;Han, Lu
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.11
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    • pp.6715-6719
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    • 2013
  • Objective: To explore the incidence, clinical characteristics, diagnosis and treatment strategies, prognosis of patients with malignancy-associated hypercalcemia (MAH). Methods: The data of 115 patients with MAH who were treated at the Medical Oncology Department of Chinese PLA General Hospital from Jan., 2001 to Dec., 2010 was retrospectively reviewed. Survival analysis was performed using the Kaplan-Meier method and the Cox proportional hazard model with statistic software SPSS 18.0. Results: The patients had blood calcium levels ranging from 2.77 to 4.87 mmol/L. Except for 9 cases who died or were discharged within 5 days after admission, all other patients recovered to normal blood calcium level after treatment with bisphosphonates or intravenous hydration and diuretics; their survival after occurrence of MAH was from 1 day to 4,051 days, and the median survival time was only 50 days. In the log-rank test, the male, renal metastasis, central nervous system symptoms and hypercalcemia occurring over 140 days after cancer diagnosis were predictors of poor survival (P=0.002, P=0.046, P=0.000, P=0.009). In the COX analysis, being male, central nervous system symptoms and hypercalcemia lasting over 140 days after cancer diagnosis were independent prognostic factors for survival time (RR=2.131, P=0.027; RR=3.054, P=0.002; RR=2.403, P=0.001). According to these factors, a score system was established to predict the patient prognosis and adjust the treatment. Conclusion: Cancer patients with MAH have an extremely poor median survival. Some independent factors indicate poor prognosis, including male gender, central nervous system symptoms and hypercalcemia lasting over 140 days after cancer diagnosis. The prognostic score can serve as a reference for MAH prognosis and treatment, worthy of further investigation.

Gamma Knife Radiosurgery for Brain Metastases from Breast Cancer

  • Jo, Kyung Il;Im, Young-Hyuck;Kong, Doo Sik;Seol, Ho Jun;Nam, Do-Hyun;Lee, Jung-Il
    • Journal of Korean Neurosurgical Society
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    • v.54 no.5
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    • pp.399-404
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    • 2013
  • Objective : The authors conducted a retrospective cohort study to determine prognostic factors and treatment outcomes of brain metastases (BM) from breast cancer (BC) after Gamma Knife radiosurgery (GKS). Methods : Pathologic and clinical features, and outcomes were analyzed in a cohort of 62 patients with BM from BC treated by GKS. The Kaplan- Meier method, the log-rank test, and Cox's proportional hazards model were used to assess prognostic factors. Results : Median survival after GKS was 73.0 weeks (95% confidence interval, 46.0-100.1). HER2+ [hazard ratio (HR) 0.441; p=0.045], Karnofsky performance scale (KPS) ${\geq}70$ (RR 0.416; p=0.050) and systemic chemotherapy after GKS (RR 0.282; p=0.001) were found to be a favorable prognostic factor of overall survival. Actuarial local control (LC) rate were $89.5{\pm}4.5%$ and $70.5{\pm}6.9%$ at 6 and 12 months after GKS, respectively. No prognostic factors were found to affect LC rate. Uni- and multivariate analysis revealed that the distant control (DC) rate was higher in patients with; a small number (${\leq}3$) of metastasis (HR 0.300; p=0.045), no known extracranial metastasis (p=0.013, log-rank test), or the HER2+ subtype (HR 0.267; p=0.027). Additional whole brain radiation therapy and metastasis volume were not found to be significantly associated with LC, DC, or overall survival. Conclusion : The treatment outcomes of patients with newly diagnosed BM from BC treated with GKS could be affected primarily by intrinsic subtype, KPS, and systemic chemotherapy. Therapeutic strategy and prognosis scoring system should be individualized based on considerations of intrinsic subtype in addition to traditionally known parameters related to stereotactic radiosurgery.

Prognostic Value of Leptin in Terminally Ill Cancer Patients (말기암환자의 여명 예측 요인, 혈중 렙틴 농도의 효과)

  • Hong, Ji-Hyun;Lee, So-Jin;Kwak, Sang-Mi;Choi, Youn-Seon;Lee, June-Yeong
    • Journal of Hospice and Palliative Care
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    • v.15 no.2
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    • pp.99-107
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    • 2012
  • Purpose: Most terminally ill cancer patients die from cancer anorexia-cachexia syndrome. This study evaluated a prognostic role of plasma leptin levels in terminally ill cancer patients. Methods: This study enrolled 69 terminally ill cancer patients who were aged above 20 years old from July 2009 to July 2010. For univariate analysis, an association between leptin levels and patient's characteristics or other variables was examined using Spearman's correlation analysis, Wilcoxon's rank-sum test or Kruskal-Wallis test, as appropriately. For multivariable analysis, Cox's proportional hazard regression model was used to evaluate a clinical significance of plasma leptin levels as a prognostic factor and to determine factors which affect the risk of death in terminally ill cancer patients. Results: A statistically significant positive correlation between plasma leptin levels and survival time was found. Univariate Cox's proportional hazard regression analyses also showed a moderately significant association between plasma leptin levels and survival time. However, after adjusting variables for sex, white blood cell counts, total bilirubin, AST, ALT, albumin and CRP levels, plasma leptin levels were not significantly associated with survival time. Conclusion: No significant association was found between plasma leptin levels and survival time in terminally ill cancer patients. However, this study suggested a prognostic value of plasma leptin levels in gastrointestinal cancer patients.

Performances of Prognostic Models in Stratifying Patients with Advanced Gastric Cancer Receiving First-line Chemotherapy: a Validation Study in a Chinese Cohort

  • Xu, Hui;Zhang, Xiaopeng;Wu, Zhijun;Feng, Ying;Zhang, Cheng;Xie, Minmin;Yang, Yahui;Zhang, Yi;Feng, Chong;Ma, Tai
    • Journal of Gastric Cancer
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    • v.21 no.3
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    • pp.268-278
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    • 2021
  • Purpose: While several prognostic models for the stratification of death risk have been developed for patients with advanced gastric cancer receiving first-line chemotherapy, they have seldom been tested in the Chinese population. This study investigated the performance of these models and identified the optimal tools for Chinese patients. Materials and Methods: Patients diagnosed with metastatic or recurrent gastric adenocarcinoma who received first-line chemotherapy were eligible for inclusion in the validation cohort. Their clinical data and survival outcomes were retrieved and documented. Time-dependent receiver operating characteristic (ROC) and calibration curves were used to evaluate the predictive ability of the models. Kaplan-Meier curves were plotted for patients in different risk groups divided by 7 published stratification tools. Log-rank tests with pairwise comparisons were used to compare survival differences. Results: The analysis included a total of 346 patients with metastatic or recurrent disease. The median overall survival time was 11.9 months. The patients were different into different risk groups according to the prognostic stratification models, which showed variability in distinguishing mortality risk in these patients. The model proposed by Kim et al. showed relative higher predicting abilities compared to the other models, with the highest χ2 (25.8) value in log-rank tests across subgroups, and areas under the curve values at 6, 12, and 24 months of 0.65 (95% confidence interval [CI]: 0.59-0.72), 0.60 (0.54-0.65), and 0.63 (0.56-0.69), respectively. Conclusions: Among existing prognostic tools, the models constructed by Kim et al., which incorporated performance status score, neutrophil-to-lymphocyte ratio, alkaline phosphatase, albumin, and tumor differentiation, were more effective in stratifying Chinese patients with gastric cancer receiving first-line chemotherapy.

Serial Observations of Muscle and Fat Mass as Prognostic Factors for Deceased Donor Liver Transplantation

  • Jisun Lee;Woo Kyoung Jeong;Jae-Hun Kim;Jong Man Kim;Tae Yeob Kim;Gyu Seong Choi;Choon Hyuck David Kwon;Jae-Won Joh;Sang-Yong Eom
    • Korean Journal of Radiology
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    • v.22 no.2
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    • pp.189-197
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    • 2021
  • Objective: Muscle depletion in patients undergoing liver transplantation affects the recipients' prognosis and therefore cannot be overlooked. We aimed to evaluate whether changes in muscle and fat mass during the preoperative period are associated with prognosis after deceased donor liver transplantation (DDLT). Materials and Methods: This study included 72 patients who underwent DDLT and serial computed tomography (CT) scans. Skeletal muscle index (SMI) and fat mass index (FMI) were calculated using the muscle and fat area in CT performed 1 year prior to surgery (1 yr Pre-LT), just before surgery (Pre-LT), and after transplantation (Post-LT). Simple aspects of serial changes in muscle and fat mass were analyzed during three measurement time points. The rate of preoperative changes in body composition parameters were calculated (preoperative ΔSMI [%] = [SMI at Pre-LT - SMI at 1 yr Pre-LT] / SMI at Pre-LT x 100; preoperative ΔFMI [%] = [FMI at Pre-LT - FMI at 1 yr Pre-LT] / FMI at Pre-LT x 100) and assessed for correlation with patient survival. Results: SMI significantly decreased during the preoperative period (mean preoperative ΔSMI, -13.04%, p < 0.001). In the multivariable analysis, preoperative ΔSMI (p = 0.016) and model for end-stage liver disease score (p = 0.011) were independent prognostic factors for overall survival. The mean survival time for patients with a threshold decrease in the preoperative ΔSMI (≤ -30%) was significantly shorter than for other patients (p = 0.007). Preoperative ΔFMI was not a prognostic factor but FMI increased during the postoperative period (p = 0.009) in all patients. Conclusion: A large reduction in preoperative SMI was significantly associated with reduced survival after DDLT. Therefore, changes in muscle mass during the preoperative period can be considered as a prognostic factor for survival after DDLT.

Clinical and Pathological Factors Related to the Prognosis of Chinese Patients with Stage Ⅰb To Ⅱb Cervical Cancer

  • Xie, Xiu-Zhen;Song, Kun;Cui, Baoxia;Jiang, Jie;Zhang, You-Zhong;Wang, Bo;Yang, Xing-Sheng;Kong, Bei-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.11
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    • pp.5505-5510
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    • 2012
  • Objective: The aim of this retrospective study is to analyze the clinical and pathological factors related to the prognosis of Chinese patients with stage Ib to IIb cervical cancer. Methods and Results: 13 clinical pathological factors in 255 patients with stage Ib to IIb cervical cancer undergoing radical hysterectomy and systematic lymphadenectomy were analyzed to screen for factors related to prognosis. The cumulative 5-year survival of the 255 patients was 75.7%. The result of the univariate analysis suggested that clinical stage, cell differentiation, depth of cervical stromal invasion, parametrial tissue involvement, and lymph node metastasis were prognostic factors for patients with stage Ib to IIb cervical cancer (P<0.05). Compared with cases with involvement of iliac nodes, obturator nodes, or inguinal lymph nodes, cases with metastasis to the common iliac lymph nodes had a poorer prognosis (P<0.05). Cases with involvement of four or more lymph nodes had a poorer prognosis than those with involvement of three or fewer lymph nodes (P<0.05). Using multivariate Cox proportional hazards model regression analysis, non-squamous histological type, poor differentiation, parametrial tissue involvement, and outer 1/3 stromal invasion were found to be independently related to patients poor prognosis (P<0.05). Conclusion: Non-squamous histological type, poor cell differentiation, parametrial tissue involvement, and outer 1/3 stromal invasion are the independent poor prognostic factors for patients with stage Ib to IIb cervical cancer.

The seven-year cumulative survival rate of Osstem implants

  • Kim, Young-Kyun;Kim, Bum-Su;Yun, Pil-Young;Mun, Sang-Un;Yi, Yang-Jin;Kim, Su-Gwan;Jeong, Kyung-In
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.40 no.2
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    • pp.68-75
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    • 2014
  • Objectives: This study was performed to analyze the cumulative survival rate of Osstem implants (Osstem Implant Co., Ltd.) over a seven-year period. Materials and Methods: A total of 105 patients who had 467 Osstem implants that were placed at the Section of Dentistry, Seoul National University Bundang Hospital (Seongnam, Korea) from June 2003 through December 2005 were analyzed. The life table method and a cross-tubulation analysis, log rank test were used to evaluate the survival curve and the influence that the prognostic factors. The prognostic factors, i.e., age and gender of patients, diameter and length, type of implants, bone graft history and loading time were determined with a Cox proportional hazard model based on logistic regression analysis. Results: The seven-year cumulative survival rate of Osstem implants was 95.37%. The Cox proportional hazard model revealed that the following factors had a significant influence on survival rate; increased diameter, reduced prosthetic loading period and performance of bone grafting. Conclusion: The osstem implants showed satisfactory results over the seven-year study period.

Comparison of Survival Rates between Chinese and Thai Patients with Breast Cancer

  • Che, Yanhua;You, Jing;Zhou, Shaojiang;Li, Li;Wang, Yeying;Yang, Yue;Guo, Xuejun;Ma, Sijia;Sriplung, Hutcha
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.15
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    • pp.6029-6033
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    • 2014
  • The burden and severity of a cancer can be reflected by patterns of survival. Breast cancer prognosis between two countries with a different socioeconomic status and cultural beliefs may exhibit wide variation. This study aimed to describe survival in patients with breast cancer in China and Thailand in relation to demographic and clinical prognostic information. Materials and Methods: We compared the survival of 1,504 Chinese women in Yunnan province and 929 Thai women in Songkhla with breast cancer from 2006 to 2010. Descriptive prognostic comparisons between the Chinese and Thai women were performed by relative survival analysis. A Cox regression model was used to calculate the hazard ratios of death, taking into account the age, disease stage, period of diagnosis and country. Results: The overall 5-year survival proportion for patients diagnosed with breast cancer for Yunnan province (0.72) appeared slightly better than Songkhla (0.70) without statistical significance. Thai women diagnosed with distant and regional breast cancer had poorer survival than Chinese women. Disease stage was the most important determinant of survival from the results of Cox regression model. Conclusions: Breast cancer patients in Kunming had slightly greater five-year survival rate than patients in Songkhla. Both Chinese and Thai women need improvement in prognosis, which could conceivably be attained through increased public education and awareness regarding early detection and compliance to treatment protocols.

Skillful Wind Field Simulation over Complex Terrain using Coupling System of Atmospheric Prognostic and Diagnostic Models (대기예보모형과 진단모형 결합을 통한 복잡지형 바람장 해석능력 평가)

  • Lee, Hwa-Woon;Kim, Dong-Hyeok;Lee, Soon-Hwan;Kim, Min-Jung;Park, Soon-Young;Kim, Hyun-Goo
    • Journal of Environmental Science International
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    • v.19 no.1
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    • pp.27-37
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    • 2010
  • A system coupled the prognostic WRF mesoscale model and CALMET diagnostic model has been employed for predicting high-resolution wind field over complex coastal area. WRF has three nested grids down to from during two days from 24 August 2007 to 26 August 2007. CALMET simulation is performed using both initial meteorological field from WRF coarsest results and surface boundary condition that is Shuttle Radar Topography Mission (SRTM) 90m topography and Environmental Geographic Information System (EGIS) 30m landuse during same periods above. Four Automatic Weather System (AWS) and a Sonic Detection And Ranging (SODAR) are used to verify modeled wind fields. Horizontal wind fields in CM_100m is not only more complex but better simulated than WRF_1km results at Backwoon and Geumho in which there are shown stagnation, blocking effects and orographically driven winds. Being increased in horizontal grid spacing, CM_100m is well matched with vertically wind profile compared SODAR. This also mentions the importance of high-resolution surface boundary conditions when horizontal grid spacing is increased to produce detailed wind fields over complex terrain features.

Risk Factor for Recurrence in Completely Resected Stage IB Non-small Cell Lung Cancer (완전 절제된 IB기 비소세포폐암에서 수술 후 재발의 위험 인자)

  • Seok, Yang-Ki;Lee, Eung-Bae
    • Journal of Chest Surgery
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    • v.40 no.10
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    • pp.680-684
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    • 2007
  • Background: Complete surgical resection is the most effective treatment for stage IB non-small cell lung cancer (NSCLC). Recurrence accounts for the disappointing survival rates after resection. There has been renewed interest in adjuvant therapy after complete resection. Appropriate selection of effective adjuvant therapy will depend on the prognostic factors for recurrence. Material and Method: The study included 114 patients with completely resected stage IB NSCLC. The variables selected for the study were gender, age, the type of resection, cell type, the degree of differentiation, the tumor size and the presence of visceral pleura invasion. The Kaplan-Meier method was used to estimate the survival and disease-free survival rate. The results were compared using the log rank test. Multivariate analysis was performed by Cox's proportional hazard model. Two-sided p-valves < 0.05 were considered to be statistically significant. Result: The 3-year overall survival and the disease-free survival rates were 87.0% and 79.4%, respectively. The degree of differentiation showed a significant influence on disease-free survival according to the univariate analysis. According to the multivariate analysis, a poor grade of differentiation was a significant poor prognostic factor. Conclusion: These results demonstrate that poor differentiation may be a poor prognostic factor for patients with completely resected IB NSCLC. Therefore, the patients with a poor grade of differentiation may require adjuvant therapies.