scholarly journals New Metabolic Health Definition Might Not Be a Reliable Predictor for Mortality in the Nonobese Chinese Population

2021 ◽  
Author(s):  
Ziqiong Wang ◽  
Liying Li ◽  
Muxin Zhang ◽  
Haiyan Ruan ◽  
Ye Zhu ◽  
...  
Keyword(s):  
Chinese Population ◽  
Regression Models ◽  
Cox Regression ◽  
Metabolic Health ◽  
Primary Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Crude Sample ◽  
Cox Analysis

Abstract Background A new metabolic health (MH) definition was proposed recently. We aimed to investigate the association between the new MH definition and all-cause mortality (ACM) in a nonobese Chinese population. Methods A total of 1157 participants with 15-year of follow-up were included for the present analysis. The association between MH and ACM were analyzed by Cox regression models with overlap weighting according to propensity score (PS) as primary analysis. Results At baseline, 920 (79.5%) participants were categorized as MH and 237 (20.5%) participants were categorized as metabolic unhealth (MUH) by this new definition. During follow-up, ACM occurred in 30 participants with mortality rate at 1.85% in MH group and 5.49% in MUH group, respectively. In the crude sample, Kaplan-Meier (K-M) analysis demonstrated a significantly lower ACM in MH group when compared to MUH group (log-rank p = 0.002). However, in multivariable Cox analysis, MH was not significantly associated with reduced ACM when compared to MUH with HR at 0.92 (95% CI: 0.32-2.64, p = 0.875). Moreover, overlap weighting-adjusted K-M analysis showed that the cumulative incidence of ACM was not significantly different between MH and MUH groups (adjusted p = 0.589). In the primary multivariable Cox analysis with overlap weighting, the HR for ACM was 0.70 (95% CI: 0.24-2.06, p = 0.519) in MH group in reference to MUH group. Additional PS analyses yielded similar results. Conclusion The new MH definition was not significantly associated with ACM in non-obese Chinese people. Further investigations are needed.

scholarly journals Predictors of three-month mortality among hospitalized older adults in Togo

2020 ◽  
Author(s):  
Fifonsi Adjidossi GBEASOR-KOMLANVI ◽  
Martin Kouame TCHANKONI ◽  
Akila Wimima BAKOUBAYI ◽  
Matthieu Yaovi LOKOSSOU ◽  
Arnold SADIO ◽  
...  
Keyword(s):  
Older Adults ◽  
Hospital Mortality ◽  
Cox Regression ◽  
Sub Saharan Africa ◽  
Mortality Data ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Hospitalized Older Adults ◽  
Sub Saharan

Abstract Background: Assessing hospital mortality and its predictors is important as some of these can be prevented through appropriate interventions. Few studies have reported hospital mortality data among older adults in sub-Saharan Africa. The objective of this study was to assess the mortality and associated factors among hospitalized older adults in Togo.Methods: We conducted a prospective cohort study from February 2018 to September 2019 among patients ≥50 years admitted in medical and surgical services of six hospitals in Togo. Data were recorded during hospitalization and through telephone follow-up survey within 90 days after admission. The main outcome was all-cause mortality at 3 months. Survival curves were estimated using the Kaplan-Meier method and Cox regression analyses were performed to assess predictors of mortality.Results: The median age of the 650 older adults included in the study period was 61 years, IQR: [55-70] and at least one comorbidity was identified in 59.7% of them. The all-cause mortality rate of 17.2% (95%CI: 14.4-20.4) and the majority of death (93.7%) occurred in hospital. Overall survival rate was 85.5% and 82.8% after 30 and 90 days of follow-up, respectively. Factors associated with 3-month mortality were the hospital level in the health pyramid, hospitalization service, length of stay, functional impairment, depression and malignant diseases.Conclusion: Togolese health system needs to adjust its response to an aging population in order to provide the most effective care.

scholarly journals Living alone is associated with all-cause and cardiovascular mortality: 32 years of follow-up in the Copenhagen Male Study

2019 ◽  
Vol 5 (3) ◽  
pp. 208-217 ◽  
Author(s):  
Magnus T Jensen ◽  
Jacob L Marott ◽  
Andreas Holtermann ◽  
Finn Gyntelberg
Keyword(s):  
Cardiovascular Mortality ◽  
Regression Models ◽  
Cox Regression ◽  
Urban Life ◽  
Living Alone ◽  
Policy Initiatives ◽  
All Cause Mortality ◽  
Number Of Individuals

Abstract Aims As a consequence of modern urban life, an increasing number of individuals are living alone. Living alone may have potential adverse health implications. The long-term relationship between living alone and all-cause and cardiovascular mortality, however, remains unclear. Methods and results Participants from The Copenhagen Male Study were included in 1985–86 and information about conventional behavioural, psychosocial, and environmental risk factors were collected. Socioeconomic position (SEP) was categorized into four groups. Multivariable Cox-regression models were performed with follow-up through the Danish National Registries. A total of 3346 men were included, mean (standard deviation) age 62.9 (5.2) years. During 32.2 years of follow-up, 89.4% of the population died and 38.9% of cardiovascular causes. Living alone (9.6%) was a significant predictor of mortality. Multivariable risk estimates were [hazard ratio (95% confidence interval)] 1.23 (1.09–1.39), P = 0.001 for all-cause mortality and 1.36 (1.13–1.63), P = 0.001 for cardiovascular mortality. Mortality risk was modified by SEP. Thus, there was no association in the highest SEP but for all other SEP categories, e.g. highest SEP for all-cause mortality 1.01 (0.7–1.39), P = 0.91 and 0.94 (0.6–1.56), P = 0.80 for cardiovascular mortality; lowest SEP 1.58 (1.16–2.19), P = 0.004 for all-cause mortality and 1.87 (1.20–2.90), P = 0.005 for cardiovascular mortality. Excluding participants dying within 5 years of inclusion (n = 274) did not change estimates, suggesting a minimal influence of reverse causation. Conclusions Living alone was an independent risk factor for all-cause and cardiovascular mortality with more than three decades of follow-up. Individuals in middle- and lower SEPs were at particular risk. Health policy initiatives should target these high-risk individuals.

scholarly journals Malnutrition Affects Cholesterol Paradox in Coronary Artery Disease: a 41,229 Chinese Cohort Study

2021 ◽  
Author(s):  
Bo Wang ◽  
Jin Liu ◽  
Shiqun Chen ◽  
Ming Ying ◽  
Guanzhong Chen ◽  
...  
Keyword(s):  
Cox Regression ◽  
Cox Model ◽  
Cox Regression Analysis ◽  
Coronary Syndrome ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
Chinese Cohort ◽  
Artery Disease

Abstract Background: Several studies found that baseline low LDL-C concentration was associated with poor prognosis in patients with acute coronary syndrome (ACS), which was called “cholesterol paradox”. Low LDL-C concentration may reflect underlying malnutrition, which was strongly associated with increased mortality. We objected to investigate the cholesterol paradox in patients with CAD and the effects of malnutrition.Method: A total of 41,229 CAD patients admitted to Guangdong Provincial People's Hospital in China were included in this study from January 2007 to December 2018, and divided into two groups (LDL-C < 1.8 mmol/L, n=4,863; LDL-C ≥ 1.8 mmol/L, n = 36,366). We used Kaplan-Meier method and Cox regression analyses to assess the association between LDL-C levels and long-term all-cause mortality and the effect of malnutrition. Result: In this real-world cohort (mean age 62.94 years; 74.94% male), there were 5257 incidents of all-cause death during a median follow-up of 5.20 years [Inter-quartile range (IQR): 3.05-7.78 years]. Kaplan–Meier analysis showed that low LDL-C levels were associated with worse prognosis. After adjusting for baseline confounders (e.g., age, sex and comorbidities, etc.), multivariate Cox regression analysis revealed that low LDL-C level (<1.8mmol/L) was not significantly associated with all-cause mortality (adjusted HR, 1.04; 95% CI, 0.96-1.24). After adjustment of nutritional status, risk of all-cause mortality of patients with low LDL-C level decreased (adjusted HR, 0.90; 95% CI, 0.83-0.98). In the final multivariate Cox model, low LDL-C level was related to better prognosis (adjusted HR, 0.91; 95% CI, 0.84-0.99).Conclusion: Our results demonstrate that the cholesterol paradox persisted in CAD patients, but disappeared after accounting for the effects of malnutrition.

scholarly journals P1787 Pharmacologic stress test: still an important prognostic factor? a follow-up study

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
V Ferreira ◽  
L Moura Branco ◽  
A Galrinho ◽  
P Rio ◽  
S Aguiar Rosa ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Stress Test ◽  
Bypass Graft ◽  
Dobutamine Stress ◽  
Left Ventricular ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Abstract Introduction Dobutamine stress echocardiography (DSE) is an established exam for evaluation of extent and severity of coronary artery disease. Purpose To analyse the results and complications of DSE and identify prognostic predictors in patients (P) who underwent DSE for myocardial ischemia detection. Methods 220P who underwent consecutive DSE from 2013 to 2017. P with significant valvular disease were excluded. Clinical data, echocardiographic parameters and data from follow up (FU) regarding all-cause mortality and MACEs were analysed. Mean age 64.8 ± 12.0 years(Y), 143 men (65%). Results 88P (40%) had positive, 102 had negative and 30 had inconclusive DSE; complications rate of 15%. Prevalence of hypertension, diabetes mellitus (DM), dyslipidemia, prior MI, percutaneous coronary interventionc (PCI), coronary arterial bypass graft (CABG) and HF was 82.7%, 42.3%, 67.7%, 35.9%, 31.8%, 10.9% and 9.5%, respectively. Mean left ventricular endsystolic (LVSD) and enddiastolic dimensions were 33.7 ± 8.9 and 52.8 ± 7.1 mm. Mean resting wall motion score index (rWMSI) and peak (pWMSI) were 1.16 ± 0.28 and 1.24 ± 0.34. Mean resting GLS (rGLS) and peak GLS (pGLS) were -16.3 ± 4.3 and -16.6 ± 4.3. Mean no. of ischemic segments was 1.7 ± 2.4 and 16.8% had ischemia &gt;3 segments. There was ischemia in left anterior descending (LAD) coronary in 53P and in circumflex and right coronary territories in 18 and 68P. 22.6% had more than one ischemic territory. 43P (49.4%) underwent intervention, 38 with PCI and 5 with CABG. During a mean FU of 38.8 ± 16.8 months, 47 MACEs were observed, including 32 deaths (14.5%). Positive DSE (p = 0.012), no. of ischemic segments (p = 0.019), ischemia in the LAD (p = 0.003), rGLS (p = 0.038) and pGLS (p = 0.038) were related to the occurrence of MACEs. In Cox regression analysis, age (p = 0.005), DM (p = 0.005), HF (p = 0.006), prior CABG (p = 0.015), LVSD (p = 0.026), rWMSI (p = 0.029), pWMSI (p = 0.013) and pGLS (p = 0.038) were associated with increased all-cause mortality. Kaplan–Meier survival analysis showed that survival was significantly worse for ischemia &gt; 3 segments (log rank 0.005), ischemia of more than one territory (log rank 0.025) and pWMSI &gt;1.5 (log rank &lt; 0.0005). With multivariate Cox regression analysis, age &gt;65Y (HR 4.22, p = 0.004), DM (HR 2.49,p = 0.038) and pWMSI &gt; 1.5 (HR 9.73,p = 0.007) were independently associated with all-cause mortality. Conclusion In patients who underwent DSE there were some baseline and DSE-related independent predictors of long-term prognosis: age, DM and peak WMSI. Abstract P1787 Figure. Kaplan–Meier curves

scholarly journals Atrial Fibrillation Is Associated with Increased Mortality in Patients Presenting with Ventricular Tachyarrhythmias

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Michael Behnes ◽  
Jonas Rusnak ◽  
Gabriel Taton ◽  
Tobias Schupp ◽  
Linda Reiser ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cox Regression ◽  
Ventricular Tachyarrhythmia ◽  
Prognostic Impact ◽  
Ventricular Tachyarrhythmias ◽  
Lv Dysfunction ◽  
Kaplan Meier ◽  
All Cause Mortality

Abstract Heterogenous data about the prognostic impact of atrial fibrillation (AF) in patients with ventricular tachyarrhythmias exist. Therefore, this study evaluates this impact of AF in patients presenting with ventricular tachyarrhythmias. 1,993 consecutive patients presenting with ventricular tachyarrhythmias (i.e. ventricular tachycardia and fibrillation (VT, VF)) on admission at one institution were included (from 2002 until 2016). All medical data of index and follow-up hospitalizations were collected during the complete follow-up period for each patient. Statistics comprised univariable Kaplan-Meier and multivariable Cox regression analyses in the unmatched consecutive cohort and after propensity-score matching for harmonization. The primary prognostic endpoint was long-term all-cause mortality at 2.5 years. AF was present in 31% of patients presenting with index ventricular tachyarrhythmias on admission (70% paroxysmal, 9% persistent, 21% permanent). VT was more common (67% versus 59%; p = 0.001) than VF (33% versus 41%; p = 0.001) in AF compared to non-AF patients. Long-term all-cause mortality at 2.5 years occurred more often in AF compared to non-AF patients (mortality rates 40% versus 24%, log rank p = 0.001; HR = 1.825; 95% CI 1.548–2.153; p = 0.001), which may be attributed to higher rates of all-cause mortality at 30 days, in-hospital mortality and mortality after discharge (p < 0.05) (secondary endpoints). Mortality differences were observed irrespective of index ventricular tachyarrhythmia (VT or VF), LV dysfunction or presence of an ICD. In conclusion, this study identifies AF as an independent predictor of death in patients presenting consecutively with ventricular tachyarrhythmias.

The Impact Of Waist Circumference And Diabetes On Incident Of Cardiovascular Death During 9 Years Of Follow Up In General Population

2021 ◽  
Author(s):  
Man Li ◽  
Shu-xia Wang ◽  
Yong-kang Su ◽  
Jin Sun ◽  
An-hang Zhang ◽  
...  
Keyword(s):  
Waist Circumference ◽  
General Population ◽  
Regression Models ◽  
Prognostic Value ◽  
Cox Regression ◽  
Cardiovascular Death ◽  
Kaplan Meier ◽  
Obesity And Diabetes ◽  
Increased Risk

Abstract Background: It has been reported that obesity and diabetes are both the risk factors for the development of cardiovascular diseases (CVD). However, recent articles reported that compared with BMI, waist circumference (WC) can better reflect obesity, more closely related to visceral fat tissue which is positively associated with an increased risk of cardiovascular death. Moreover, few studies have both investigated the prognostic value of both WC and diabetes during a long-term follow up. We aimed to investigate whether higher level of WC measurements and diabetes were able to predict cardiovascular mortality in general population.Methods: In this prospective cohort study, a total of 1521 consecutive subjects free of clinical cardiovascular disease were included. The end point was cardiovascular death. The Kaplan-Meier method and Cox regression models were used to evaluate the cumulative risk of outcome at different WC levels with or without diabetes.Results: During a median follow up of 9.2 years, there were 265 patients had the occurrence of cardiovascular death. Kaplan-Meier survival estimates indicated that the patients with higher levels of WC (WC>94cm) coexist with diabetes had significantly increased risk of cardiovascular death (log-rank p＜0.05). After adjustment for potential confounders, multiple COX regression models showed that the incidence of cardiovascular death was significantly higher when patients with high WC coexisted with DM (HR 3.78; 95% CI: 3.35–3.98; p＜0.001).Conclusion: Patients with high WC and diabetes represent a high-risk population for cardiovascular death. WC and diabetes may provide incremental prognostic value beyond traditional risks factors.

Abstract P274: Kidney Filtration Markers and the Risk of Clinical Outcomes in Individuals With Type 2 Diabetes in the Advance Trial

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Hyunju Kim ◽  
Dan Wang ◽  
John Chalmers ◽  
Mark Woodward ◽  
Elizabeth Selvin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Clinical Outcomes ◽  
Regression Models ◽  
Cox Regression ◽  
All Cause Mortality ◽  
Baseline Levels ◽  
Controlled Evaluation ◽  
Egfr Decline

Introduction: Creatinine-based estimated glomerular filtration rate (eGFR) is biased in the setting of obesity and other conditions. Alternative kidney filtration markers may be particularly useful in adults with diabetes, but few studies examined the risk of clinical outcomes associated with filtration markers in adults with type 2 diabetes. Objective: We evaluated whether baseline levels and change in eGFR based on creatinine (Cr), cystatin C (Cys), and B 2 -microglobulin (B2M) were associated with the risk of clinical outcomes among individuals with type 2 diabetes. Methods: In the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial, Cr, Cys, and B2M were measured in 7,217 participants at baseline and a random sample of 640 participants at the 1 year visit. We categorized baseline eGFR Cr , eGFR Cys , eGFR B2M , and the average across the 3 eGFR estimates (eGFR avg ) into quarters, and examined associations with major macrovascular and microvascular events together, and separately, and all-cause mortality using Cox regression models, adjusting for established risk factors. We also examined associations with continuous eGFR decline and increase (per 30%). Results: Over a median follow-up of 5 years, 1,313 combined major macrovascular (n=748) and microvascular events (n=637), and 743 deaths occurred. Lower levels of eGFR based on all three filtration markers individually and combined were associated with 1.5 to 2.2 times higher risk of combined major macrovascular and microvascular events, with similar patterns for other outcomes ( Table ). Per 30% decline in eGFR Cys and eGFR avg were associated with a >2-fold higher risk of all clinical outcomes, after additional adjustment of baseline eGFR. Conclusions: In adults with type 2 diabetes, baseline levels of eGFR based on alternative filtration markers and per 30% decline in eGFR Cys and eGFR avg were consistently associated with all clinical outcomes.

scholarly journals Association of Soluble Klotho Level with Adverse Outcomes in Patients on Maintenance Hemodialysis

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Li-xia Yu ◽  
Qi-feng Liu ◽  
Jian-hua Feng ◽  
Sha-sha Li ◽  
Xiao-xia Gu ◽  
...  
Keyword(s):  
Cox Regression ◽  
Adverse Outcomes ◽  
Maintenance Hemodialysis ◽  
Strongly Correlated ◽  
Independent Predictive Factor ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Potential Association ◽  
All Cause Mortality

Background. The predictive value of soluble Klotho (sKlotho) for adverse outcomes in patients on maintenance hemodialysis (MHD) is controversial. In this study, we aimed to clarify the potential association of sKlotho levels with adverse outcomes in this patient population. Materials. A total of 211 patients on MHD were identified and stratified according to the median sKlotho level. Patients were followed up for adverse outcomes including cardiovascular (CV) morbidity and all-cause mortality. Results. During the 36-month follow-up, 75 patients [51 CV events (including 16 CV deaths) and 40 deaths] experienced adverse outcomes. After stratification according to median sKlotho level, patients with a lower sKlotho level had a greater risk of CV events (38.2% vs. 19.5%, p = 0.006 ), all-cause mortality (28.4% vs. 11.6%, p = 0.003 ), and combined adverse outcomes (51.0% vs. 24.2%, p < 0.001 ). Similar observations were made from analyses using Kaplan-Meier survival curves. Cox regression analysis showed that a low sKlotho level was strongly correlated with CV morbidity [1.942 (1.030–3.661), p = 0.040 )], all-cause mortality [2.073 (1.023–4.203), p = 0.043 ], and combined adverse outcomes [1.818 (1.092–3.026), p = 0.021 ] in fully adjusted models. Conclusions. The sKlotho level was an independent predictive factor of adverse outcomes including CV morbidity and mortality in patients on MHD.

scholarly journals Proton Pump Inhibitor Taking Associates with Higher All-Cause Mortality and CV Events in Peritoneal Dialysis Patients

2020 ◽  
Author(s):  
Yingsi Zeng ◽  
Lingling Liu ◽  
Liya Zhu ◽  
Xiaojiang Zhan ◽  
Fenfen Peng ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Proton Pump ◽  
Regression Models ◽  
Cox Regression ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Log Rank Test ◽  
Kaplan Meier ◽  
All Cause Mortality ◽  
The Impact

Abstract Background: A long period of inappropriate proton pump inhibitors (PPI) treatment have been proved to be associated with adverse prognosis in general population and hemodialysis (HD) patients. This study was conducted to clarify the impact of PPI taking on mortality and adverse cardiovascular (CV) events in peritoneal dialysis (PD) patients.Methods: This is a retrospective study. We enrolled 904 patients from two PD centers, included 211 patients on PPI treatment and 618 patients not taking PPIs. Kaplan-Meier curves were used to identify the incidence of adverse outcomes. Multivariate Cox regression models and inverse probability of treatment weighting (IPTW) were applied to analyze hazard ratios (HRs) for adverse outcomes. Results: During follow-up, 162 deaths and 102 CV events were recorded. Kaplan-Meier curve demonstrated all-cause mortality (log-rank test P=0.018) and CV events (log-rank test P=0.024) were significantly higher in PPI usage group. Multivariate COX regression models and IPTW showed that PPI taking was an indicator for all-cause mortality (HR=1.33, 95%CI=1.07-1.65, P=0.010) and CV events (HR=1.81, 95%CI=1.38-2.38, P<0.001). Conclusions: PPI usage associates with higher all-cause mortality and CV events in PD patients. Clinicians are supposed to be more careful when using PPI and need to master the indications more rigorously in patients receiving PD treatment.

A Study on the Prognosis of Patients Relapsing after Autologous Stem Cell Transplantation (auto-SCT) for Follicular Lymphoma (FL): The Impact of Remission Duration.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3064-3064
Author(s):  
Julia Stumm ◽  
Jens Dreyhaupt ◽  
Martin Kornacker ◽  
Manfred Hensel ◽  
Michael Kneba ◽  
...  
Keyword(s):  
Cox Regression ◽  
Treatment Time ◽  
Salvage Treatment ◽  
Prognostic Impact ◽  
Post Transplant ◽  
Kaplan Meier ◽  
Cox Analysis ◽  
Time To Relapse ◽  
The Impact

Abstract Although auto-SCT has been in use for treatment of advanced FL since many years, little is known about the course of those who relapse after this procedure. Because these patients may be candidates for aggressive salvage approaches, we sought to study the outcome of patients with FL relapsing after auto-SCT with particular focus on factors predicting for survival. Methods: Relapse cases were identified retrospectively from 244 patients autografted for FL between August 1990 and November 2002 in 3 institutions. Overall survival after relapse (OS) was calculated according to Kaplan-Meier and analyzed for the prognostic impact of pre-relapse variables as well as of post-relapse salvage treatment by univariate log rank comparisons and Cox regression analyses. Results: With a median follow-up of 88 (5–186) months post auto-SCT, 104 relapses occurred, corresponding to a 10-year relapse probability of 0.47 (95%CI 0.4–0.53). Median age of relapsed patients was 48 (22–65) years. FLIPI score at diagnosis was low in 18%, intermediate in 58%, and high in 24%. In 51%, auto-SCT had been given as part of first-line treatment, and 45% had been in complete remission at auto-SCT. Myeloablation included total body irradiation (TBI) in 57% of the cases. Median time from auto-SCT to relapse was 19 (2–128) months, with only 2 relapses occurring later than 6 years post transplant. Transformed FL was present in 14% of those 87 patients who had relapse histology available. Rituximab-containing salvage therapy was given to 50% of the patients after relapse. With 45 (1–139) months of follow-up, median OS after relapse was 100 months. Log rank comparisons identified auto-SCT as part of salvage treatment, time to relapse <12 months, and salvage without rituximab as factors adversely influencing OS, while all other variables listed above had no impact. Cox analysis considering sex, age, salvage auto-SCT, TBI, time to relapse, and rituximab salvage confirmed a possible adverse impact of time to relapse <12 months (hazard ratio 2.58 (95%CI 0.99–6.82); p 0.055) but none of the other covariates on OS. Conclusions: The prognosis of patients relapsing after auto-SCT for FL is surprisingly good. However, those whose disease recurs within the first post-transplant year tend to have a dismal outcome and might benefit from experimental salvage approaches, such as allogeneic SCT.

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