scholarly journals Logistic Regression Analysis of the Factors Involved in the Failure of Osseointegration and Survival of Dental Implants with an Internal Connection and Machined Collar: A 6-Year Retrospective Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Aritza Brizuela-Velasco ◽  
Ángel Álvarez-Arenal ◽  
Esteban Pérez-Pevida ◽  
Iker Bellanco-De La Pinta ◽  
Héctor De Llanos-Lanchares ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Dental Implants ◽  
Cox Regression ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Internal Connection ◽  
Study Results ◽  
Logit Function ◽  
Cox Analysis

Background. Although the long-term success rate of dental implants is currently close to 95%, it is necessary to provide more evidence on the factors related to the failure of osseointegration and survival. Purpose. To establish the risk factors associated with the failure of osseointegration and survival of dental implants with an internal connection and machined collar and to establish a predictive statistical model. Materials and Methods. An analytical, retrospective, and observational clinical study of a sample of 297 implants with a follow-up of up to 76 months. Independent variables related to the implant, patient, and surgical and rehabilitative procedures were identified. The dependent variables were failure of osseointegration and failure of implant survival after prosthetic loading. A survival analysis was carried out by applying the Kaplan-Meier model (significance for p < 0.05 ). The log-rank test and the Cox regression analysis were applied to the factors that presented differences. Finally, the regression logit function was used to determine whether it is possible to predict the risk of implant failure according to the analyzed variables with the data obtained in this study. Results. The percentages of osseointegration and survival were 97.6 and 97.2%, respectively. For osseointegration, there were significant differences according to gender ( p = 0.048 ), and the risk of nonosseointegration was 85% lower in women. Regarding survival, the Cox analysis converged on only two factors, which were smoking and treatment with anticoagulant drugs. The risk of loss was multiplied by 18.3 for patients smoking more than 10 cigarettes per day and by 28.2 for patients treated with anticoagulants. Conclusions. The indicated risk factors should be considered, but the analysis of the results is not sufficient to create a predictive model.

scholarly journals A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma

2021 ◽  
Vol 20 ◽  
pp. 153303382110279
Author(s):  
Qinping Guo ◽  
Yinquan Wang ◽  
Jie An ◽  
Siben Wang ◽  
Xiushan Dong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cox Regression ◽  
Signet Ring Cell Carcinoma ◽  
Signet Ring Cell ◽  
Training Set ◽  
Cox Regression Analysis ◽  
Signet Ring ◽  
Ring Cell ◽  
Independent Risk Factors

Background: The aim of our study was to develop a nomogram model to predict overall survival (OS) and cancer-specific survival (CSS) in patients with gastric signet ring cell carcinoma (GSRC). Methods: GSRC patients from 2004 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database and randomly assigned to the training and validation sets. Multivariate Cox regression analyses screened for OS and CSS independent risk factors and nomograms were constructed. Results: A total of 7,149 eligible GSRC patients were identified, including 4,766 in the training set and 2,383 in the validation set. Multivariate Cox regression analysis showed that gender, marital status, race, AJCC stage, TNM stage, surgery and chemotherapy were independent risk factors for both OS and CSS. Based on the results of the multivariate Cox regression analysis, prognostic nomograms were constructed for OS and CSS. In the training set, the C-index was 0.754 (95% CI = 0.746-0.762) for the OS nomogram and 0.762 (95% CI: 0.753-0.771) for the CSS nomogram. In the internal validation, the C-index for the OS nomogram was 0.758 (95% CI: 0.746-0.770), while the C-index for the CSS nomogram was 0.762 (95% CI: 0.749-0.775). Compared with TNM stage and SEER stage, the nomogram had better predictive ability. In addition, the calibration curves also showed good consistency between the predicted and actual 3-year and 5-year OS and CSS. Conclusion: The nomogram can effectively predict OS and CSS in patients with GSRC, which may help clinicians to personalize prognostic assessments and clinical decisions.

scholarly journals Role of Disease Modifying Treatment in the Risk of Alloimmunization in Transfused Patients with Myelodysplastic Syndromes: A Population-Based Study

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4253-4253
Author(s):  
Hanne Rozema ◽  
Robby Kibbelaar ◽  
Nic Veeger ◽  
Mels Hoogendoorn ◽  
Eric van Roon
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cox Regression ◽  
Population Based ◽  
Incidence Rates ◽  
Blood Products ◽  
Cox Regression Analysis ◽  
In The Beginning ◽  
Observation Period

The majority of patients with myelodysplastic syndromes (MDS) require regular red blood cell (RBC) transfusions. Alloimmunization (AI) against blood products is an adverse event, causing time-consuming RBC compatibility testing. The reported incidence of AI in MDS patients varies greatly. Even though different studies on AI in MDS patients have been performed, there are still knowledge gaps. Current literature has not yet fully identified the risk factors and dynamics of AI in individual patients, nor has the influence of disease modifying treatment (DMT) been explored. Therefore, we performed this study to evaluate the effect of DMT on AI. An observational, population-based study, using the HemoBase registry, was performed including all newly diagnosed MDS patients between 2005 and 2017 in Friesland, a province of the Netherlands. All available information about treatment and transfusions, including transfusion dates, types, and treatment regimens, was collected from the electronic health records and laboratory systems. Follow-up occurred through March 2019. For our patient cohort, blood products were matched for AB0 and RhD, and transfused per the 'type and screen' policy (i.e. electronic matching of blood group phenotype between patient and donor). After a positive antibody screening, antibody identification and Rh/K phenotyping was performed and subsequent blood products were (cross)matched accordingly. The observation period was counted from first transfusion until last transfusion or first AI event. Univariate analyses and cumulative frequency distributions were performed to study possible risk factors and dynamics of AI. DMT was defined as hypomethylating agents, lenalidomide, chemotherapy and monoclonal antibodies. The effect of DMT as a temporary risk period on the risk of AI was estimated with incidence rates, relative risks (RR) and hazard ratios (HR) using a cox regression analysis. Follow-up was limited to 24 months for the cox regression analysis to avoid possible bias by survival differences. Statistical analyses were performed using IBM SPSS 24 and SAS 9.4. Out of 292 MDS patients, 236 patients received transfusions and were included in this study, covering 463 years of follow-up. AI occurred in 24 patients (10%). AI occurred mostly in the beginning of the observation period: Eighteen patients (75%) were alloimmunized after receiving 20 units of RBCs, whereas 22 patients (92%) showed AI after 45 units of RBCs (Figure 1). We found no significant risk factors for AI in MDS patients at baseline. DMT was given to 67 patients (28%) during the observation period. Patients on DMT received more RBC transfusions than patients that did not receive DMT (median of 33 (range: 3-154) and 11 (range: 0-322) RBC units respectively, p<0,001). Four AI events (6%) occurred in patients on DMT and 20 AI events (12%) occurred in patients not on DMT. Cox regression analysis of the first 24 months of follow-up showed an HR of 0.30 (95% CI: 0.07-1.31; p=0.11). The incidence rates per 100 person-years were 3.19 and 5.92 respectively. The corresponding RR was 0.54 (95% CI: 0.16-1.48; p=0.26). Based on our results, we conclude that the incidence of AI in an unselected, real world MDS population receiving RBC transfusions is 10% and predominantly occurred in the beginning of follow-up. Risk factors for AI at baseline could not be identified. Our data showed that patients on DMT received significantly more RBC transfusions but were less susceptible to AI. Therefore, extensive matching of blood products may not be necessary for patients on DMT. Larger studies are needed to confirm the protective effect of DMT on AI. Disclosures Rozema: Celgene: Other: Financial support for visiting MDS Foundation conference.

scholarly journals Incidence, Survival, and Associated Factors Estimation in Osteosarcoma Patients with Lung Metastasis: A Single-center Experience of 11 Years in Tianjin, China

2021 ◽  
Author(s):  
Chao Zhang ◽  
Haixiao Wu ◽  
Guijun Xu ◽  
Wenjuan Ma ◽  
Lisha Qi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Lung Metastasis ◽  
Associated Factors ◽  
Cox Regression ◽  
Cancer Center ◽  
Single Center ◽  
Cox Regression Analysis

Abstract Background: Osteosarcoma is the most common primary malignant bone tumor. The current study was conducted to describe the general condition of patients with primary osteosarcoma in a single cancer center in Tianjin, China and to investigate the associated factors in osteosarcoma patients with lung metastasis. Methods: From February 2009 to October 2020, patients from Tianjin Medical University Cancer Institute and Hospital, China were retrospectively analyzed. The Kaplan–Meier method was used to evaluate the overall survival of osteosarcoma patients. Prognostic factors of patients with osteosarcoma were identified by the Cox proportional hazard regression analysis. Risk factor of lung metastasis in osteosarcoma were investigated by the logistic regression model. Results: A total of 203 patients were involved and 150 patients were successfully followed up for survival status. The 5-year survival rate of osteo-sarcoma patients was 70.0%. Surgery, bone and lung metastasis were the significant prognostic factors in multivariable Cox regression analysis. Twenty-one (10.3%) patients showed lung metastasis at the diagnosis of osteosarcoma and 67 (33%) lung metastases during the later course. T3 stage (OR=11.415, 95%CI 1.362-95.677, P=0.025) and synchronous bone metastasis (OR=6.437, 95%CI 1.69-24.51, P=0.006) were risk factors of synchronous lung metastasis occurrence. Good necrosis (≥90%, OR=0.097, 95%CI 0.028-0.332, P=0.000) and elevated Ki-67 (≥50%, OR=4.529, 95%CI 1.241-16.524, P=0.022) were proved to be significantly associated with metachronous lung metastasis occurrence. Conclusion: The overall survival, prognostic factors and risk factors for lung metastasis in this single center provided insight about osteosarcoma management.

scholarly journals Prognostic model of head and neck squamous cell carcinoma based on 12 ferroptosis-related genes

2021 ◽  
Author(s):  
Sijia Li ◽  
Hongyang Zhang ◽  
Wei Li
Keyword(s):  
Regression Analysis ◽  
Risk Score ◽  
Cox Regression ◽  
Risk Group ◽  
High Risk Group ◽  
Risk Scores ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Model Based ◽  
Cox Analysis

Abstract Background: The purpose of our study is establishing a model based on ferroptosis-related genes predicting the prognosis of patients with head and neck squamous cell carcinoma (HNSCC).Methods: In our study, transcriptome and clinical data of HNSCC patients were from The Cancer Genome Atlas, ferroptosis-related genes and pathways were from Ferroptosis Signatures Database. Differentially expressed genes (DEGs) were screened by comparing tumor and adjacent normal tissues. Functional enrichment analysis of DEGs, protein-protein interaction network and gene mutation examination were applied. Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression were used to identified DEGs. The model was constructed by multivariate Cox regression analysis and verified by Kaplan-Meier analysis. The relationship between risk scores and other clinical features was also analyzed. Univariate and multivariate Cox analysis was used to verified the independence of our model. The model was evaluated by receiver operating characteristic analysis and calculation of the area under the curve (AUC). A nomogram model based on risk score, age, gender and TNM stages was constructed.Results: We analyzed data including 500 tumor tissues and 44 adjacent normal tissues and 259 ferroptosis-related genes, then obtained 73 DEGs. Univariate Cox regression analysis screened out 16 genes related to overall survival, and LASSO analysis fingered out 12 of them with prognostic value. A risk score model based on these 12 genes was constructed by multivariate Cox regression analysis. According to the median risk score, patients were divided into high-risk group and low-risk group. The survival rate of high-risk group was significantly lower than that of low-risk group in Kaplan-Meier curve. Risk scores were related to T and grade. Univariate and multivariate Cox analysis showed our model was an independent prognostic factor. The AUC was 0.669. The nomogram showed high accuracy predicting the prognosis of HNSCC patients.Conclusion: Our model based on 12 ferroptosis-related genes performed excellently in predicting the prognosis of HNSCC patients. Ferroptosis-related genes may be promising biomarkers for HNSCC treatment and prognosis.

Prognostic value of D-dimer/fibrinogen ratio in the adverse outcomes of patients hospitalized for heart failure

2020 ◽  
Vol 14 (18) ◽  
pp. 1733-1745
Author(s):  
Tian-Jun Zhao ◽  
Qian-Kun Yang ◽  
Chun-Yu Tan ◽  
Li-Dan Bi ◽  
Jie Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Cox Regression ◽  
Prognostic Indicator ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Clinical Value ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
D Dimer

Aim: To evaluate the clinical value of plasma D-dimer/fibrinogen ratio (DFR) in patients hospitalized for heart failure (HF). Methods: Clinical data of 235 patients were retrospectively analyzed. Kaplan–Meier method and Cox regression analysis were used to identify significant prognosticators. Results: The Kaplan–Meier analysis showed that a higher DFR level was significantly associated with an increase in the end point outcomes, including HF readmission, thrombotic events and death (log-rank test: p < 0.001). The multivariate Cox regression analysis showed that the high tertile of DFR was significantly associated with the study end points (HR: 2.18; 95% CI: 1.31–3.62; p = 0.003), compared with the low tertile. Conclusion: DFR is a reliable prognostic indicator for patients hospitalized for HF.

Predictive value of ankle–brachial index for long-term events of ischemic stroke in hemodialysis patients

Vascular ◽  
2020 ◽  
pp. 170853812092595
Author(s):  
Kai-Ni Lee ◽  
Li-Ping Chou ◽  
Chi-Chu Liu ◽  
Tsang-Shan Chen ◽  
Eric Kim-Tai Lui ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Cox Regression ◽  
Ankle Brachial Index ◽  
Hemodialysis Patients ◽  
Serum Phosphate ◽  
Cox Regression Analysis

Objectives The ankle–brachial index is a noninvasive modality to evaluate atherosclerosis and is a predictive role for future cardiovascular events and mortality. However, few studies have evaluated its relation to long-term future ischemic stroke in hemodialysis patients. Therefore, we examined the relationship between ankle–brachial index and ischemic stroke events among hemodialysis patients in a seven-year follow-up. Methods A total of 84 patients were enrolled. Ankle–brachial index was assessed in January 2009. Primary outcomes included ischemic stroke. An ankle–brachial index < 0.9 was considered abnormal and 1.4 ≥ ankle–brachial index ≥ 0.9 to be normal ankle–brachial index. Results Mean values for ankle–brachial index were 0.98 ± 0.21at study entrance. In addition, 28 patients encountered ischemic stroke in the seven-year follow-up. In univariate Cox regression analysis, old age (hazard ratio (HR): 1.065, 95% confidence interval (CI): 1.030–1.102, p < 0.001), low seven-year averaged serum phosphate levels (HR: 0.473, 95% CI: 0.306–0.730, p = 0.001), and abnormal ankle–brachial index (HR: 0.035, 95% CI: 0.009–0.145, p < 0.001) were risk factors for ischemic stroke. In multivariate Cox regression analysis for significant variables in univariate analysis, abnormal ankle–brachial index (HR: 0.058, 95% CI: 0.012–0.279, p < 0.001) and low seven-year averaged serum phosphate levels (HR: 0.625, 95% CI: 0.404–0.968, p = 0.035) remained the risk factors for ischemic stroke. The risk of ischemic stroke was 3.783-fold in patients with abnormal ankle–brachial index compared with patients with normal ankle–brachial index (HR: 3.783, 95% CI: 1.731–8.269, p = 0.001). Conclusions These findings suggest that ankle–brachial index is an impressive predictor of future ischemic stroke among hemodialysis patients.

P0380INFECTION PROFILE AND ASSOCIATED RISK FACTORS IN AGGRESSIVE GLOMERULONEPHRITIS TREATED WITH INDUCTION AND MAINTENANCE REGIMENS OF IMMUNOSUPPRESSIVE THERAPY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Alexandra Vornicu ◽  
Bogdan Obrisca ◽  
Roxana Jurubita ◽  
Andreea Gabriella Andronesi ◽  
Bogdan Marian Sorohan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Cox Regression ◽  
Systemic Disease ◽  
Pulmonary Involvement ◽  
High Dose ◽  
Cox Regression Analysis ◽  
Oral Corticosteroids ◽  
Dose Oral ◽  
Associated Risk Factors

Abstract Background and Aims Infections remain an important contributor to the morbidity and mortality of immunosuppressive (IS) therapy in aggressive glomerulonephritis. We sought to investigate the infection profile and associated risk factors in a compiled cohort of patients with lupus nephritis (LN), cryoglobulinemic vasculitis (CryoVas) and ANCA-associated vasculitis (AAV) treated with induction and maintenance IS regimens. Method A total of 162 patients (101 with LN, 24 with CryoVas and 37 with AAV) were retrospectively reviewed for any infection that occurred from initiation of induction therapy. Infections were graded (1-5) according to the Common Terminology Criteria for Adverse Events. Infection site and type of microorganism were also recorded. Univariate and multivariate Cox proportional hazard regression analysis were performed in order to identify independent risk factors for infection. Results Eighty-two patients (50.6%) had at least one infection with a total 179 episodes of infection occurring during a median follow-up of 12 months (IQR:4-36.25 months). The majority of patients (64 of 82) had infections during the first 24 months since IS treatment initiation with a 24-month infection-free rate of 55%. The most common site was lung infection (in 32.7% of patients), while 39.5% of patients had bacterial infections (1.8% with Mycobacterium tuberculosis). 36.7% of patients had severe infections (grade 3 or higher) with 4.4% of infection-related deaths (8 patients). The most common induction regimen was cyclophosphamide in addition to corticosteroids (62%), while 43% received either mycophenolate mofetil or azathioprine in addition to corticosteroids as a maintenance regimen. In univariate Cox regression analysis, chronic obstructive pulmonary disease (HR 3.91; 95% CI, 1.76-8.68, p=0.001), pulmonary involvement in the setting of systemic disease (HR 2.35; 95% CI, 1.26-4.37, p=0.007), pulse methylprednisolone (HR 2.7; 95% CI, 1.7-4.31, p=0.001) and high-dose (≥30 mg/day) oral corticosteroids (HR 3.38; 95% CI, 2.11-5.43, p=0.001) were risk factors for infection. In multivariate Cox regression analysis, high-dose oral corticosteroids (HR 2.67; 95% CI, 1.5-4.76, p=0.001) remained an independent predictor of infection risk. Of the risk factors associated with severe infections (grade 3 or higher), in univariate analysis we identified pulmonary involvement in the setting of systemic disease (HR 3.65; 95% CI, 1.72-7.77, p=0.001), pulse methylprednisolone (HR 3.56; 95% CI, 1.7-7.3, p=0.001), high-dose (≥30 mg/day) oral corticosteroids (HR 3.56; 95% CI, 1.77-7.16, p=0.001), estimated GFR (HR 0.98; 95% CI, 0.98-0.99, p=0.01) and AAV (by comparison to CryoVas and LN) (HR 2.81; 95% CI, 1.39-5.66, p=0.004) as risk factors for infection. After multivariate adjustment, pulmonary involvement in the setting of systemic disease (HR 2.38; 95% CI, 1.01-5.73, p=0.05) and high-dose oral corticosteroids (HR 2.44; 95% CI, 1.04-5.72, p=0.04) were identified as independent predictors of infection risk. Conclusion Infections occur frequently with current immunosuppressive regimens in aggressive glomerulonephritis. In addition to pulmonary involvement in the setting of systemic disease, a high dose corticosteroid regimen was the most significant risk factor for infection.

Natural History, Risk Factors and Prognostic Impact of Graft-Versus-Host Disease Classified According to the National Institute of Health Criteria in Patients Receiving Allogeneic Stem Cell Transplantation for Acute Myeloid Leukemia

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 899-899 ◽  
Author(s):  
Theis H Terwey ◽  
Arturo Vega-Ruiz ◽  
Philipp G. Hemmati ◽  
Peter Martus ◽  
Ekkehart Dietz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cumulative Incidence ◽  
Cox Regression ◽  
Prognostic Impact ◽  
Cox Regression Analysis ◽  
Graft Versus Host ◽  
Organ Manifestations ◽  
Grade Iii

Abstract Abstract 899 Introduction: The classic definition of acute (aGVHD) and chronic graft-versus-host disease (cGVHD) was based on a cut-off day 100 after transplantation, but this did not reflect that aGVHD can occur later and that symptoms of aGVHD and cGVHD can occur simultaneously. In 2005 a NIH consensus classification was proposed which included 1) classic aGVHD, occurring before day 100, 2) persistent, recurrent or late aGVHD occurring thereafter, 3) classic cGVHD and 4) an overlap syndrome with simultaneous features of aGVHD and cGVHD. Only few studies have evaluated this classification and no studies have determined the differential impact of reduced intensity (RIC) and myeloablative conditioning (MAC). Method: We retrospectively analyzed 202 AML patients who were transplanted between 1999 and 2008. 102 patients received RIC (generally 6×30 mg/m2 FLU, 4×4 mg/kg BU, 4×10 mg/kg ATG) and immunosuppression with CSA/MMF and 100 patients received MAC (generally 6×2 Gy TBI and 2×60 mg/kg CY) and CSA/MTX. Donors were HLA-matched related (n=82), -matched unrelated (n=88) or -mismatched (n=32). Result: Leukocyte recovery was faster after RIC than after MAC (14 vs. 19 days, P<0.001) but time to reach full donor chimerism was similar (60 vs. 56 days, P=0.12). The cumulative incidence of classic aGVHD was lower after RIC than after MAC (40 vs. 67%, P<0.001) and it occurred later (31 vs. 23 days, P=0.041). No difference was seen in organ manifestations and in the overall aGVHD grade. The cumulative incidence of late aGVHD was low and did not differ between RIC and MAC (9 vs. 7%, P=NS). 13/16 patients with late aGVHD had persistent or recurrent classic aGVHD and 3/16 had de novo late aGVHD. Late aGVHD was less severe after RIC (grade III/IV 22 vs. 86%, P=0.041). The first signs of cGVHD were observed on days 86 after RIC and 97 after MAC with median onset on days 167 and 237, respectively (P=NS). The cumulative incidence of cGVHD tended to be lower after RIC (36 vs. 51%, P=0.088) and it tended to be less severe. Organ manifestations were similar except for cGVHD of the joints and fascia which affected 11% of MAC but no RIC patients (P=0.0021). More than half of cGVHD cases were subclassified as overlap cGVHD with no significant differences between RIC and MAC (51 vs. 65%, P=0.26). In multivariate Cox regression analysis of the whole cohort the only significant risk factor for aGVHD was MAC (HR 2.33, 95%CI 1.51–3.59, p<0.001). In RIC patients the administration of bone marrow lead to less aGVHD (HR 0.13, 95%CI 0.016–0.98, P=0.047). The only relevant risk factor for late aGVHD was prior aGVHD (HR 3.65, 95%CI 1.040–12.81, P=0.043). The most important risk factors for cGVHD were prior aGVHD (HR 2.77, 95%CI 1.64–5.67, P<0.001), female-to-male transplantation (HR 1.94, 95%CI 1.12–3.35, P=0.017) and advanced disease (HR 1.95, 95%CI 1.2–3.1, P=0.018). In multivariate Cox regression analysis with GVHD as time-dependant covariate aGVHD grade III/IV (HR 2.41, 95%CI: 1.51–3.87, P=0.001) and late aGVHD grade III/IV (HR 3.037, 95%CI 1.29–7.18, P=0.011) were associated with inferior overall survival (OS) while moderate cGVHD had a positive effect (HR 0.42, 95%CI 0.18–0.97, P=0.043). Classic and overlap cGVHD had no differential prognostic impact. Conclusion: This study in AML patients shows that previously established GVHD risk factors remain valid for the new NIH classification. It also confirms the major impact of conditioning intensity on GVHD incidence, the negative prognostic impact of severe aGVHD and the benefit of moderate cGVHD. The new category late aGVHD may only include few patients but will allow more adequate allocation to therapies or clinical trials. Whether the subgroups classic and overlap cGVHD are clinically relevant remains to be determined. Disclosures: No relevant conflicts of interest to declare.

Impact in delay of start of chemotherapy and surgery on pCR and survival in breast cancer: A pooled analysis of individual patient data from six prospectively randomized neoadjuvant trials.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 571-571 ◽  
Author(s):  
Sibylle Loibl ◽  
Gustavo Werutsky ◽  
Valentina Nekljudova ◽  
Sabine Seiler ◽  
Jens Uwe Blohmer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Pooled Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Time Interval ◽  
Cox Regression Analysis ◽  
Study Results ◽  
Survival Endpoints

571 Background: Time interval from diagnostic biopsy to neoadjuvant chemotherapy (NACT) start (TBC) and from last chemotherapy application to surgery (TCS) are influenced by many factors. It is unclear whether a delay of systemic therapy or surgery impacts patients (pts) outcome. Methods: 9127 pts with early BC from 6 German neoadjuvant trials receiving an anthracycline-taxane based NACT were included. pCR (ypT0/is ypN0), disease free survival (DFS) and overall survival (OS) were compared according to TBC and TCS length (cut-off of ≤4 vs >4weeks (w)), overall and in subgroups (BC subtypes [luminal, HER2+, triple-negative breast cancer (TNBC)] and pCR [yes vs no] for survival endpoints) adjusted by study. Results: Data on TBC were available for 8072 pts, on TCS for 6420, on follow-up (FU) for 7889. Median age was 49 yrs, 25.6% had cT3-4, 48.6% N+, 44.1% G3, 46.0% luminal, 26.4% TNBC, 27.6% HER2+ tumors. Median (m) FU-time was 65 months [0-201]. mTBC was 23 days [0-228] (67.5% ≤4w vs 32.5% >4w), mTCS was 28d [0-204] (53.7% ≤4w vs 46.3% >4w), with inter-study variability for mTBC ranging from 14 to 32d and for mTCS ranging from 24 to 29d from the oldest to the most recently conducted study. TBC did not influence the pCR rate, neither in all patients nor in subgroups. At multivariable logistic regression analysis TBC length did not independently predict pCR. TBC did not influence DFS or OS, neither in all patients nor in subgroups. TCS<4w was associated with a trend towards a better DFS in all patients (HR=1.11 95%CI (0.99-1.24), p=0.08) and in pts not achieving pCR (HR=1.12, 95%CI (0.99-1.26), p=0.08). No difference was observed within BC subtypes. OS was not impacted by TCS length. At multivariable Cox regression analysis TBC or TCS≤4 vs >4w did not independently influence DFS or OS. Conclusions: A delay in starting NACT does not impact the pCR rate, DFS or OS and results are independent of the subgroup. However, early surgery after NACT in pts without pCR seems to influence outcome. Our analysis is explorative, but indicates for the first time, that time interval of starting NACT and undergoing surgery might be uncritical. Further research is ongoing.

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