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Results for “Prognostic model”

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At least 307 records · Page 17Linked to original sources

PubMed2006

An economic evaluation of pediatric small bowel transplantation in the United Kingdom.

BACKGROUND: Small bowel transplantation (SBTx) offers an alternative to parenteral nutrition (PN) for the treatment of chronic intestinal failure in children: this study estimated its cost-effectiveness in the early phase of a U.K. program. METHODS: Children assessed for SBTx were categorized as: 1) requiring SBTx following PN-related complications (n=23), 2) stable at home not requiring SBTx (n=24), and 3) terminally ill and unsuitable for SBTx (n=6). Costs were estimated from detailed resource-use data. Two comparisons were used for effectiveness: actual survival following transplantation (n=14) compared to: 1) estimated survival without transplantation using a prognostic model, and 2) the waiting list experiences of all patients listed for SBTx (n=23). RESULTS: Mean costs up to 30 months were pounds sterling 207,000 for those transplanted or on the waiting list, pounds sterling 159,000 for those stable on home PN, and pounds sterling 56,000 for those terminally ill. The prognostic model estimated a mean survival gain from transplantation of 0.12 years over 30 months, and suggested that transplantation was cost-saving. The second approach suggested that transplantation reduced survival by 0.24 years at an additional cost of pounds sterling 131,000. CONCLUSIONS: Firm conclusions on cost-effectiveness of SBTx are not possible given the two different estimates. The prognostic model approach (suggesting that pediatric SBTx may provide a small survival benefit at a small reduction in costs) should be less subject to bias, but the model requires external validation. Meanwhile, children at risk of fatal PN-complications should be given the opportunity to receive a SBTx only within a continuing formal assessment of the technology.

Child↗

PubMed2005

[Age and survival likelihood of polytrauma patients. "Local tailoring" of the DGU prognosis model].

INTRODUCTION: Age is one of five prognostic parameters identified based on data of the trauma registry of the German Association for Trauma Surgery (DGU). We asked ourselves if the suggested prognostic model provides the same predictive power of data from an independent hospital. Furthermore, we investigated whether age itself or age-associated comorbidity causes an unfavorable prognostic effect. METHODS: The investigation was based on data of 103 multiply injured patients (67 male, 36 female, mean age 35,4+/-SD 19,0 years, ISS 36,8+/-10,9). Data were collected prospectively following the guidelines of the trauma registry of the German Association for Trauma Surgery. Based on documented comorbidities, a risk calculation was performed using the ASA classification. Correlation between age and ASA was analyzed using Spearman's method. The prognostic value of the original model in our patient pool with or without ASA classification, possible interactions, and the discriminatory power of the model were estimated using logistic regression. RESULTS: Attributable mortality was 31,7% (95% CI 22,7-41,7%). Age, ISS, GCS and ASA were included into the final logistic model. Odds ratios of the origin model were reproducible nearly identical in our patinet pool (OR: age 1,048; ISS 1,066; GCS 0,822). In spite of the fact that we have found a strong correlation between age and ASA-Classification (rho=0,60, p<0,0001) there was no prognostic value of comorbidity. CONCLUSION: The suggested prognostic model based on multicenter data evaluation can be applied to a single center with only minimal loss of discriminatory power. In this context, age seems to have a prognostic value independent of comorbidity.

Adult↗

PubMed2005

Factors that predict outcome of intensive care treatment in very elderly patients: a review.

INTRODUCTION: Advanced age is thought to be associated with increased mortality in critically ill patients. This report reviews available data on factors that determine outcome, on the value of prognostic models, and on preferences regarding life-sustaining treatments in (very) elderly intensive care unit (ICU) patients. METHODS: We searched the Medline database (January 1966 to January 2005) for English language articles. Selected articles were cross-checked for other relevant publications. RESULTS: Mortality rates are higher in elderly ICU patients than in younger patients. However, it is not age per se but associated factors, such as severity of illness and premorbid functional status, that appear to be responsible for the poorer prognosis. Patients' preferences regarding life-sustaining treatments are importantly influenced by the likelihood of a beneficial outcome. Commonly used prognostic models have not been calibrated for use in the very elderly. Furthermore, they do not address long-term survival and functional outcome. CONCLUSION: We advocate the development of new prognostic models, validated in elderly ICU patients, that predict not only survival but also functional and cognitive status after discharge. Such a model may support informed decision making with respect to patients' preferences.

Activities of Daily Living↗

PubMed2004

A tool for predicting breast carcinoma mortality in women who do not receive adjuvant therapy.

BACKGROUND: Among the several proposed risk classification schemes for predicting survival in women with breast carcinoma, one of the most commonly used is the Nottingham Prognostic Index (NPI). The goal of the current study was to use a continuous prognostic model (similar to those that have already been demonstrated to possess greater predictive accuracy than risk group-based models in other malignancies) to predict breast carcinoma mortality more accurately compared with the NPI. METHODS: A total of 519 women who had been treated with mastectomy and axillary lymph node dissection at Memorial Sloan-Kettering Cancer Center (New York, NY) between 1976 and 1979 met the following requirements for study inclusion: confirmation of the presence of invasive mammary carcinoma, no receipt of neoadjuvant or adjuvant systemic therapy, no previous history of malignancy, and negative lymph node status as assessed on routine histopathologic examination. Paraffin blocks were available for 368 of the 519 eligible patients. All available axillary lymph node tissue blocks were subjected to enhanced pathologic analysis. The competing-risk method was used to predict disease-specific death, and the accuracy of the novel prognostic model that emerged from this process was evaluated using the concordance index. Jackknife and 10-fold cross-validation predictions yielded by this new model were compared with predictions yielded by the NPI. RESULTS: Of the 348 women for whom complete data were available, 73 died of disease; the 15-year probability of breast carcinoma-related death was 20%. On the basis of these 348 cases, the authors developed a prognostic model that took patient age, disease multifocality, tumor size, tumor grade, lymphovascular invasion, and enhanced lymph node staining into account, and using competing-risks regression analysis, they found that this new model predicted disease-specific death more accurately compared with the NPI. CONCLUSIONS: The authors have developed a model for predicting breast carcinoma-specific death with improved accuracy. This tool should be useful in counseling patients with regard to their specific need for adjuvant therapy.

Adult↗

PubMedDate not supplied

Decision curve analysis: a novel method for evaluating prediction models.

BACKGROUND: Diagnostic and prognostic models are typically evaluated with measures of accuracy that do not address clinical consequences. Decision-analytic techniques allow assessment of clinical outcomes but often require collection of additional information and may be cumbersome to apply to models that yield a continuous result. The authors sought a method for evaluating and comparing prediction models that incorporates clinical consequences,requires only the data set on which the models are tested,and can be applied to models that have either continuous or dichotomous results. METHOD: The authors describe decision curve analysis, a simple, novel method of evaluating predictive models. They start by assuming that the threshold probability of a disease or event at which a patient would opt for treatment is informative of how the patient weighs the relative harms of a false-positive and a false-negative prediction. This theoretical relationship is then used to derive the net benefit of the model across different threshold probabilities. Plotting net benefit against threshold probability yields the "decision curve." The authors apply the method to models for the prediction of seminal vesicle invasion in prostate cancer patients. Decision curve analysis identified the range of threshold probabilities in which a model was of value, the magnitude of benefit, and which of several models was optimal. CONCLUSION: Decision curve analysis is a suitable method for evaluating alternative diagnostic and prognostic strategies that has advantages over other commonly used measures and techniques.

Decision Support Techniques↗

PubMed2026

Mitochondria related gene signature serves as prognosis prediction and risk stratification of cholangiocarcinoma.

BACKGROUND: Cholangiocarcinoma (CHOL) is a highly aggressive biliary malignancy with poor clinical outcomes and limited effective prognostic biomarkers. Mitochondrial dysfunction participates in multiple oncological processes of CHOL, yet the prognostic roles of mitochondria‑related genes (MRGs) remain poorly understood. This study aimed to characterize MRGs expression in CHOL and develop a molecular prognostic model for predicting patient survival and guiding clinical management. METHODS: RNA sequencing (RNA-seq) and clinical data of CHOL were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) (GSE89748) databases. Differentially expressed MRGs were identified, and 10 machine learning algorithms were used to construct prognostic models. The optimal model (highest average C-index) was selected to establish a mitochondria-related risk score (MRRS), which was validated internally and externally. A nomogram integrating clinical factors and MRRS was developed, and biological mechanisms were explored via functional and immune analyses. RESULTS: A 3-MRG (MAP3K1, MRPL18, PYGB) prognostic signature was constructed, stratifying patients into high- and low-risk groups with significantly different overall survival. The model showed high predictive accuracy, with an area under the curve (AUC) up to 0.845, and MRRS was an independent prognostic factor. The signature was associated with mitochondrial pathways, and the high-risk group had distinct immune infiltration and mutation profiles. CONCLUSIONS: A validated MRG prognostic model effectively stratifies CHOL patients and has potential clinical value for prognosis prediction. Further validation in larger cohorts is needed to confirm its applicability.

Cholangiocarcinoma (CHOL)↗

PubMed1991

Statistical modeling of prognostic indices for evaluation of critically ill patients.

OBJECTIVE: To identify the most predictive association of variables from the usual indices of severity of illness by statistical objective analysis. DESIGN: Logistic regression analysis of the different variables of the most important indices. SETTING: A general critical care medicine group practice in a university hospital. PATIENTS: A total of 630 critical care patients age 12 to 87 yrs were evaluated. The most important indices of severity of illness and the corresponding variables were recorded and the patient's course was followed for 3 months after ICU admission. MEASUREMENTS AND MAIN RESULTS: One of our hypotheses was that the inclusion of an excessive number of variables to obtain the most common prognostic indices of mortality in critical care patients results in an underestimation of mortality and a redundancy of prognostic information. We performed a logistic regression analysis using the variables of the currently used indices of critical care prognosis: Acute Physiology Score, Simplified Acute Physiology Score, Acute Physiology Score-II, and Mortality Prediction Model. This mathematical approach resulted in a model of five variables: organ system failure, blood glucose, serum calcium, serum prothrombin activity, and serum osmolality. The score obtained from this model gave accurate prognostic criteria:sensitivity 91.2% and specificity 90%, using a cutoff point of 0.7; sensitivity 86% and, specificity 94%, using a cutoff point of 0.5. CONCLUSIONS: Our results show that suitable statistical management of the discriminant prognostic variables allows reduction of the number of variables of the severity indices currently used, obtaining five more predictive variables.

Adolescent↗

PubMed1999

A prognostic computer model to individually predict post-procedural complications in interventional cardiology: the INTERVENT Project.

AIMS: The purpose of this part of the INTERVENT project was (1) to redefine and individually predict post-procedural complications associated with coronary interventions, including alternative/adjunctive techniques to PTCA and (2) to employ the prognostic INTERVENT computer model to clarify the structural relationship between (pre)-procedural risk factors and post-procedural outcome. METHODS AND RESULTS: In a multicentre study, 2500 data items of 455 consecutive patients (mean age: 61.1+/-8.3 years: 33-84 years) undergoing coronary interventions at three university centres were analysed. 80.4% of the patients were male, 16.7% had unstable angina, and 5.1%/10.1% acute/subacute myocardial infarction. There were multiple or multivessel stenoses in 16.0%, vessel bending >90 degrees in 14.5%, irregular vessel contours in 65.0%, moderate calcifications in 20.9%, moderate/severe vessel tortuosity in 53.2% and a diameter stenosis of 90%-99% in 44.4% of cases. The in-lab (out-of-lab) complications were: 0.4% (0.9%) death, 1.8% (0.2%) abrupt vessel closure with myocardial infarction and 5.5% (4.0) haemodynamic disorders. CONCLUSION: Computer algorithms derived from artificial intelligence were able to predict the individual risk of these post-procedural complications with an accuracy of >95% and to explain the structural relationship between risk factors and post-procedural complications. The most important prognostic factors were: heart failure (NYHA class), use of adjunctive/alternative techniques (rotablation, atherectomy, laser), acute coronary ischaemia, pre-existent cardiac medication, stenosis length, stenosis morphology (calcification), gender, age, amount of contrast agent and smoker status. Pre-medication with aspirin or other cardiac medication had a beneficial effect. Techniques, such as laser angioplasty or atherectomy were predictors for post-procedural complications. Single predictors alone were not able to describe the individual outcome completely.

Adult↗

PubMed2003

Survival gain after liver transplantation for patients with alcoholic liver disease: a comparison across models and centers.

BACKGROUND: Prognostic models, which estimate survival probabilities, enable the survival benefit from a procedure to be assessed and allow the comparison of outcomes between centers. We therefore compared three models that estimate survival in the absence of transplantation for patients with alcoholic liver disease (ALD) to assess survival benefit after transplantation and to compare the outcomes in the six liver-transplant centers in England. METHODS: The Béclére and Birmingham models and the Model for End-Stage Liver Disease (MELD) were used to estimate survival in the absence of transplantation in a cohort of 82 patients with end-stage ALD. Posttransplant survival in the same cohort of patients was calculated using conventional survival techniques. Each individual's short-term survival gain after liver transplantation was also calculated and compared across UK liver transplant centers. RESULTS: The expected gain in survival differed substantially depending on the model used. Over the 4-year study period, the survival gain for all ALD patients was 1.70 years (95% confidence interval [CI] 1.37-2.03) using the Béclére model, 0.95 years (CI 0.60-1.30) using MELD, and 0.08 years (CI -0.31-0.47) using the Birmingham model. Two centers consistently had greater estimated survival gains up to 4 years postliver transplant regardless of the model used to estimate nontransplant survival. CONCLUSIONS: These findings suggest that although liver transplantation is associated with an improvement in survival, the gain over 4 years is modest. The three models are poorly correlated and should be applied with caution. Survival gain does, however, appear to vary between centers.

Bilirubin↗

PubMed2001

Modeling medical prognosis: survival analysis techniques.

Medical prognosis has played an increasing role in health care. Reliable prognostic models that are based on survival analysis techniques have been recently applied to a variety of domains, with varying degrees of success. In this article, we review some methods commonly used to model time-oriented data, such as Kaplan-Meier curves, Cox proportional hazards, and logistic regression, and discuss their applications in medical prognosis. Nonlinear, nonparametric models such as neural networks have increasingly been used for building prognostic models. We review their use in several medical domains and discuss different implementation strategies. Advantages and disadvantages of these methods are outlined, as well as pointers to pertinent literature.

Humans↗

PubMed1999

Prognostic factors in 677 patients in Singapore with nondisseminated nasopharyngeal carcinoma.

BACKGROUND: The objective of the current study was to describe the survival of nasopharyngeal carcinoma (NPC) patients in Singapore, verify the prognostic value of the revised 1997 TNM staging system, and develop a multivariate prognostic model for NPC. In addition, the authors also examined the prognostic value of characteristics of lymph node spread and parapharyngeal involvement. METHODS: A prospectively maintained database containing clinical and computed tomography scan data was used to reclassify 677 NPC patients treated between 1992 and 1994 according to the new staging system. Records were linked with the death registry to ascertain the patient's vital status and date of death. Overall and stage specific survival were analyzed using the Kaplan-Meier method and the log rank test. Univariate and multivariate Cox proportional hazards regression analysis were used to obtain prognostic models. RESULTS: Two hundred seventy-four deaths (40.5%) occurred. The 5-year survival rate was 56.6% (95% confidence interval [95% CI], 52.3%, 60.7%). The stage specific 5-year survival rates were: Stage I, 88%; Stage IIA, 75%; Stage IIB, 74%; Stage III, 60%; Stage IVA, 35%; and Stage IVB, 28%. TNM stage was found to be a statistically significant prognostic factor (P < 0.0001). Cranial nerve (hazard ratio [HR]: 2.77), orbit (HR: 5.71), and intracranial involvement (HR: 2.46) conferred a particularly bad prognosis in univariate analysis. Independently significant prognostic factors were age; lymph node status; and paraoropharyngeal, cranial nerve, orbit, and nasal involvement. Among lymph node positive patients, independently significant prognostic lymph node characteristics were Ho level and laterality. Although parapharyngeal involvement appeared to be prognostically unimportant, paraoropharyngeal involvement distinguished a subgroup with a poorer prognosis (HR: 1.84; 95% CI, 1.45, 2.34; P < 0.0001). Lateral spread to the medial infratemporal fossa and beyond also was found to confer a poorer prognosis. CONCLUSIONS: The results of the current study show that the revised 1997 TNM staging system is prognostically useful. Subdivision into paraoropharyngeal involvement and using the medial infratemporal fossa to delineate prognostically significant lateral spread should be considered in future revisions.

Adolescent↗

PubMed2006

Age and hemoglobin level emerge as most important clinical prognostic parameters in patients with osteomyelofibrosis: introduction of a simplified prognostic score.

The course of disease in patients with myelofibrosis is highly variable, with survival ranging from few months to many years. Several prognostic models have been established, with the LILLE score now most commonly used. However, in recent series, the latter scoring system repeatedly failed to discriminate patients with intermediate and poor prognosis. In the present study, we re-evaluated previous prognostic models in a separate patient population. We have studied 107 patients with myelofibrosis and correlated clinical parameters at the time of diagnosis with survival. Previous scoring systems were applied to allocate patients to subgroups with distinct prognosis. Most previous scoring systems failed to clearly discriminate an intermediate and poor prognostic group. By contrast, age and hemoglobin level emerged as most significant parameters in multivariate analysis. By allocating one risk point each for hemoglobin < 10 g/dl and age >60 years, three subgroups of patients with distinct prognosis could be identified in our cohort. The overall model and the difference between each of the subgroups were statistically significant in a training group, a test group, the overall cohort of patients and the group of patients with chronic idiopathic myelofibrosis. In summary, we propose an alternative prognostic model for patients with myelofibrosis that reliably identifies three groups of patients with highly different outcome. This is in contrast to previous prognostic scores, in which the poor prognosis group was often very small and/or could not be consistently differentiated from patients with an intermediate prognosis.

Adult↗

PubMed1997

The spontaneous pregnancy prognosis in untreated subfertile couples: the Walcheren primary care study.

The spontaneous pregnancy prognosis of couples in a primary care situation has never been studied. Prognostic models have been developed for referral populations only. We wished to develop a prognostic model to estimate the likelihood of live birth and the impact of prognostic factors among untreated subfertile couples in a primary care situation. With this aim, we conducted a cohort follow-up study of 726 couples in the peninsula of Walcheren, a geographically isolated, but demographically and socio-economically representative area of an industrialized Western society, The Netherlands. Of the Walcheren population, 9.9% exhibit subfertility complaints at least once during their lifetime. There were 201 live birth conceptions during 9915 months of untreated observation. The cumulative rate of conceptions leading to live births was 52.5% when all of the untreated observations were considered, and 72.0% in the subgroup of 342 couples who remained untreated throughout their follow-up. The relevant prognostic factors in this primary care subfertility population were: abnormal post-coital test, tubal defect, ovulation defect, and duration of subfertility. A prediction score based on these factors would be accurate in approximately 76-79% of cases. Live birth prognosis can be estimated with sufficient accuracy to be useful in counselling subfertility patients, and in planning clinical management.

Adolescent↗

PubMed2004

Novel stress echocardiographic model incorporating the extent and severity of wall motion abnormality for risk stratification and prognosis.

The prognostic value of stress echocardiography to predict future cardiac events using the extent and severity of wall motion abnormalities is not well defined. The objective of this study was to develop and validate a prognostic model for interpretation of stress echocardiographic studies by using the extent and severity of wall motion abnormalities. We evaluated 1,500 patients (59 +/- 13 years old; 51% men) who underwent stress echocardiography (34% on the treadmill exercise and 66% on dobutamine). Left ventricular regional wall motion was assessed by consensus of 2 experienced echocardiographers. Follow-up periods (mean 2.7 +/- 1.0 years) for confirmed myocardial infarction (n = 31) and cardiac death (n = 44) were identified. Multivariate regression analysis identified 2 independent predictors of cardiac events: the number of left ventricular wall segments with new wall motion abnormalities (an index of the extent of ischemia) and the maximal magnitude of new wall motion abnormalities (an index of the severity of ischemia). The ischemic extent (chi-square 48.7, p <0.0001) and maximal severity (chi-square 52.0, p <0.0001) were exponentially correlated with an increase in event rate. On the basis of these data, a prognostic model was defined that uses ischemic extent and maximal severity as stress-dependent orthogonal variables. With this 3-dimensional model, the predicted event rate ranged over sevenfold, from a low of 0.9%/year in patients without any wall motion abnormalities to a high of 6.7%/year in patients with extensive and severe wall motion abnormalities. The extent and severity of wall motion abnormalities by stress echocardiography are independent and cumulative predictors of prognosis in patients who have suspected or known ischemic heart disease.

Aged↗

PubMed2026

Oxidative Stress Associated LncRNAs as Potential Biomarkers for Prognosis and Immune Responses in Lung Squamous Cell Carcinoma Patients.

Long-chain non-coding RNA (lncRNA) significantly influences lung squamous cell carcinoma's (LUSC) prognostic value and immune infiltration. This study aimed to demonstrate how oxidative stress-related lncRNAs impact lung squamous cell carcinoma (SCC). The Cancer Genome Atlas (TCGA) dataset gathered transcriptome information and related clinical data for LUSC. To build a prognostic model, 10 prognostic-related genes were identified using a series of bioinformatics analyses that compared the OS gene's aberrant expression in tumor and healthy tissues, as well as its association with malignancy. Subjects were stratified into high- and low-risk groups based on the median risk score derived from the 10-gene signature. While the mathematical risk model demonstrated limited independent predictive performance in the validation cohort (AUC ~ 0.5), functional and immunological evaluations revealed significant differences in the tumor microenvironment (TME) across risk strata. Specifically, high-risk patients exhibited distinct immune infiltration profiles and altered immunological scores relative to their low-risk counterparts. Therefore, rather than serving as a direct clinical prediction tool, this oxidative stress-related lncRNA signature provides valuable biological insights into the immune landscape of LUSC and highlights potential therapeutic targets for further mechanistic investigation.

Humans↗

PubMed2003

Midterm cost-effectiveness of the liver transplantation program of England and Wales for three disease groups.

Liver transplantation has never been the subject of a randomized controlled trial, and there remains uncertainty about the magnitude of benefit and cost-effectiveness for specific patient groups. This article reports the results of an economic evaluation of adult liver transplantation in England and Wales. Patients placed on the waiting list for a liver transplant were observed over 27 months. The costs and health benefits of a comparison group, representing experience in the absence of liver transplantation, were estimated using a combination of observed data from patients waiting for a transplant and published prognostic models. The analysis focuses on three disease groups, for each of which prognostic models were available: primary biliary cirrhosis (PBC), alcoholic liver disease (ALD), and primary sclerosing cholangitis (PSC). A higher proportion of patients with ALD were assessed for a transplant but not placed on the waiting list. The estimated gain in quality-adjusted life-years from transplantation was positive for each of the disease groups. The mean incremental cost per quality-adjusted life-year (95% bootstrap confidence intervals) from time of listing to 27 months for patients with PBC, ALD, and PSC are pound 29,000 (pounds 1,000 to pounds 59,000), pounds 48,000 (pounds 12,000 to pounds 83,000) and pounds 21,000 (-pounds 23,000 to pounds 60,000), respectively. In conclusion, liver transplantation increases the survival and health-related quality of life of patients with each of three end-stage liver diseases. However, the extent of this increase differs between different disease groups. Cost-effectiveness estimates were poorer for patients with ALD over the 27-month period than for patients with PBC or PSC. This in part reflects the costs of the higher number of ALD patients assessed for each transplant.

Adolescent↗

PubMed1995

Prognostic Factors in Small Cell Lung Cancer.

Extent of disease and clinical performance status have been used traditionally for prognostic stratification of patients with small cell lung cancer. A plethora of other prognostic attributes reflecting host factors, tumor factors, and serological and hematological parameters have been described over the last decade. Attempts to assess the contribution of the latter attributes to prognostication in small cell lung cancer have lead to the formation of multivariate prognostic models. These models invariably describe prognostic groupings that are not identified by the conventional two-stage classification currently in use. Consensus for application of a new prognostic classification is evolving with analysis of prognostic data from diverse clinical centers.

Journal Article↗

PubMed2006

Prospective analysis of treatment outcome and prognostic factors in patients with T-cell lymphomas treated by CEOP-B: single institutional study.

The important prognostic factors were evaluated for T-cell non-Hodgkin lymphoma (NHL) patients in a prospective study using the CEOP-B protocol [a modified cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP)-like regimen that uses epirubicin instead of doxorubicin with the addition of bleomycin]. Fifty-two patients were enrolled in the study. The overall response rate was 63.5%. The median progression-free survival (PFS) and median overall survival (OS) was 18.0 and 39.5 months respectively. The most common toxicity was neutropenia. The factors related to poor outcome were a high International Prognostic Index (IPI) and a high 'B' score (bone marrow involvement, B symptoms, bulky disease). We developed a new prognostic model, namely the Prognostic Group for T cell NHL (PGT) that included four groups: PGT1 (low IPI/low B score), PGT2 (low IPI/high B score), PGT3 (high IPI/Low B score) and PGT4 (high IPI/Low B score). OS and PFS (not reached, 48 months) in the PGT1 group were significantly longer than those (11.5 and 4.8 months) in PGT2. The same result was observed in the PGT3 and PGT4 groups. The CEOP-B regimen was moderately active and tolerable for T-cell NHL patients, and the PGT system might be useful for the prediction of long-term survival of T-cell NHL patients.

Adolescent↗