scholarly journals Molecular profiling and risk classification of patients with myeloproliferative neoplasms and splanchnic vein thromboses

2020 ◽  
Vol 4 (15) ◽  
pp. 3708-3715 ◽  
Author(s):  
Pierre-Edouard Debureaux ◽  
Bruno Cassinat ◽  
Juliette Soret-Dulphy ◽  
Barbara Mora ◽  
Emmanuelle Verger ◽  
...  

Abstract Myeloproliferative neoplasms (MPNs) are the most frequent underlying causes of splanchnic vein thromboses (SVTs). MPN patients with SVTs (MPN-SVT) often have a unique presentation including younger age, female predominance, and low Janus kinase 2 (JAK2) mutation allele burden. This study aimed at identifying risk factors for adverse hematologic outcomes in MPN-SVT patients. We performed a retrospective study of a fully characterized cohort of MPN-SVT patients. The primary outcome was the incidence of evolution to myelofibrosis, acute leukemia, or death. Eighty patients were included in the testing cohort. Median follow-up was 11 years. Most of the patients were women with a mean age of 42 years and a diagnosis of polycythemia vera. The primary outcome was met in 13% of the patients and was associated with a JAK2V617F allele burden ≥50% (odds ratio [OR], 14.7) and presence of additional mutations in genes affecting chromatin/spliceosome (OR, 9). We identified high-risk patients (29% of the cohort) as those harboring at least 1 molecular risk factor: JAK2-mutant allele burden ≥50%, presence of chromatin/spliceosome/TP53 mutation. High-risk patients had worse event-free survival (81% vs 100%; P = .001) and overall survival at 10 years (89% vs 100%; P = .01) than low-risk patients. These results were confirmed in an independent validation cohort of 30 MPN-SVT patients. In conclusion, molecular profiling identified MPN-SVT patients with dismal outcome. In this high-risk population, a disease-modifying therapy should be taken into consideration to minimize the probability of transformation.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
F Mantovani ◽  
M A Clavel ◽  
F Jayme ◽  
L Valli ◽  
R M De Mola ◽  
...  

Abstract Background Improved technology together with greater operator experience has led to refinement of balloon aortic valve valvuloplasty (BAV) in recent years. It may provide a palliative treatment option in high-risk patients, highly symptomatic, for whom no other invasive therapy is available. However, there has not been universal adoption of BAV as a standalone therapy. Methods A retrospective analysis of ten years of practice of BAV as palliative strategy in patient with symptomatic aortic stenosis between March 2008 and June 2018 was performed. Demographic, clinical, procedural, and follow-up data on all patients were collected. Results A total of 152 patients (95 women, 63%) with a mean age of 85±6 years underwent BAV. All patients had severe aortic stenosis, were considered not suitable to aortic valve replacement nor Trans-catheter aortic valve implantation (TAVI) for appreciable comorbidity (STS score 9±5) and had severe symptoms mainly of heart failure which required medical attention. A statistically significant decrease in trans-valvular gradient was observed (peak to peak gradient before BAV 52±22 mmHg, after BAV 29±16 mmHg, delta gradient 24±14 mmHg; p<0.0001). Only one patient, who undergone BAV because of cardiogenic shock, died during the procedure. Considering the high-risk population, intra-hospital mortality was low (7 patients died, 4%). Mortality at 1-year follow-up was 43% and survival free from new hospitalization for heart failure was 63% at 1-year follow-up and 53% at 2 years follow-up. 19 patients (13%) required repeated BAV during follow-up. Conclusion BAV as a palliative procedure in high-risk patients who are highly symptomatic, has a low operative mortality in our experience. BAV is associated with a significant reduction in aortic valve gradient and is valuable since half of the patients were alive without re-hospitalizations for heart failure at 2 years follow-up. Acknowledgement/Funding None


2011 ◽  
Vol 29 (6) ◽  
pp. 761-770 ◽  
Author(s):  
Tiziano Barbui ◽  
Giovanni Barosi ◽  
Gunnar Birgegard ◽  
Francisco Cervantes ◽  
Guido Finazzi ◽  
...  

We present a review of critical concepts and produce recommendations on the management of Philadelphia-negative classical myeloproliferative neoplasms, including monitoring, response definition, first- and second-line therapy, and therapy for special issues. Key questions were selected according the criterion of clinical relevance. Statements were produced using a Delphi process, and two consensus conferences involving a panel of 21 experts appointed by the European LeukemiaNet (ELN) were convened. Patients with polycythemia vera (PV) and essential thrombocythemia (ET) should be defined as high risk if age is greater than 60 years or there is a history of previous thrombosis. Risk stratification in primary myelofibrosis (PMF) should start with the International Prognostic Scoring System (IPSS) for newly diagnosed patients and dynamic IPSS for patients being seen during their disease course, with the addition of cytogenetics evaluation and transfusion status. High-risk patients with PV should be managed with phlebotomy, low-dose aspirin, and cytoreduction, with either hydroxyurea or interferon at any age. High-risk patients with ET should be managed with cytoreduction, using hydroxyurea at any age. Monitoring response in PV and ET should use the ELN clinicohematologic criteria. Corticosteroids, androgens, erythropoiesis-stimulating agents, and immunomodulators are recommended to treat anemia of PMF, whereas hydroxyurea is the first-line treatment of PMF-associated splenomegaly. Indications for splenectomy include symptomatic portal hypertension, drug-refractory painful splenomegaly, and frequent RBC transfusions. The risk of allogeneic stem-cell transplantation–related complications is justified in transplantation-eligible patients whose median survival time is expected to be less than 5 years.


2021 ◽  
Author(s):  
Márcio Mossmann ◽  
Marco Vugman Wainstein ◽  
Stéfani Mariani ◽  
Guilherme Pinheiro Machado ◽  
Gustavo Neves Araujo ◽  
...  

Abstract BACKGROUND Interleukin-6 (IL-6) is an inflammation-related cytokine associated with an elevated risk of cardiovascular events. In a previous study, we demonstrated that increased IL-6 was predictive of sub-clinical atherosclerotic coronary disease in intermediate-risk patients undergoing coronary angiography. In the present study, we investigated whether increased serum IL-6 is predictive of cardiovascular events in high-risk patients. METHODS In this observational study, consecutive patients referred for elective coronary angiography due to stable chest pain/myocardial ischemia had IL-6 measured immediately before the procedure. Long-term follow-up was performed by phone call or e-mail, and their clinical registries were revised. The primary outcome was a composite of new myocardial infarction, new ischemic stroke, hospitalization due to heart failure, new coronary revascularization, cardiovascular death, and death due to all causes. RESULTS From the 141 selected patients, 100 completed the IL-6 analysis and were followed for a mean of 5.5 years. The median age was 61.1 years, 44% were men, and 61% had type-2 diabetes. The median overall time-to-event for the primary outcome was 297 weeks (95% confidence interval [CI] = 266.95–327.16). A receiver operator characteristic curve defined the best cut-off value of baseline serum IL-6 (0.44 pg/mL) with sensitivity (84.37%) and specificity (38.24%) to define two groups. High IL-6 level was moderately predictive of cardiovascular events. ( p for interaction = 0.015) (hazard ratio = 2.81; 95% CI = 1.38–5.72, p=0.01). The subgroup analysis did not find interactions between patients with or without diabetes, obesity, or hypertension. CONCLUSION This preliminary study indicates that, in high-risk symptomatic patients undergoing elective coronary angiography, increased pre-procedure serum levels of IL-6 predicted long-term cardiovascular outcomes. These results were similar irrespective of diabetes, hypertension, or obesity status. IL-6 must be studied in larger long-term follow-up studies as a potential tool to re-classify patients with increased cardiovascular risk.


2019 ◽  
Author(s):  
Shawn Choon Wee Ng ◽  
Yu Heng Kwan ◽  
Shi Yan ◽  
Chuen Seng Tan ◽  
Lian Leng Low

Abstract Background: High-risk patients are most vulnerable during transitions of care. Due to the high burden of resource allocation for such patients, we hypothesize that segmentation of this heterogeneous population into distinct subgroups will enable improved healthcare resource planning. In this study, we segmented a high-risk population with the aim to identify and characterize a patient subgroup with the highest 30-day and 90-day hospital readmission and mortality. Methods: We extracted data from our transitional care program (TCP) from June to November 2018. Latent class analysis (LCA) was used to determine the optimal number and characteristics of latent subgroups, assessed based on model fit and clinical interpretability. Regression analysis was performed to assess the association of class membership on 30- and 90-day all-cause readmission and mortality. Results: Among 752 patients, a 3-class best fit model was selected: Class 1 “Frail, cognitively impaired and physically dependent”, Class 2 “Pre-frail, but largely physically independent” and Class 3 “Physically independent”. The 3 classes have distinct demographics, medical and socioeconomic characteristics (p<0.05), 30- and 90-day readmission (p<0.05) and mortality (p<0.01). Class 1 patients have the highest age-adjusted 90-day readmission (OR=2.04, 95%CI: 1.21-3.46, p= 0.008), 30- (OR=6.92, 95%CI: 1.76-27.21, p=0.006) and 90-day mortality (OR=11.51, 95%CI: 4.57-29.02, p<0.001). Conclusions: We identified a subgroup with the highest readmission and mortality risk amongst high-risk patients. We also found a lack of interventions in our TCP that specifically addresses increased frailty and poor cognition, which are prominent features in this subgroup. These findings will help to inform future program modifications and strengthen existing transitional healthcare structures currently utilized in this patient cohort.


2019 ◽  
Author(s):  
Shawn Choon Wee Ng ◽  
Yu Heng Kwan ◽  
Shi Yan ◽  
Chuen Seng Tan ◽  
Lian Leng Low

Abstract Background: High-risk patients are most vulnerable during transitions of care. Due to the high burden of resource allocation for such patients, we propose that segmentation of this heterogeneous population into distinct subgroups will enable improved healthcare resource planning. In this study, we segmented a high-risk population with the aim to identify and characterize a patient subgroup with the highest 30-day and 90-day hospital readmission and mortality. Methods: We extracted data from our transitional care program (TCP), a Hospital-to-Home program launched by the Singapore Ministry of Health, from June to November 2018. Latent class analysis (LCA) was used to determine the optimal number and characteristics of latent subgroups, assessed based on model fit and clinical interpretability. Regression analysis was performed to assess the association of class membership on 30- and 90-day all-cause readmission and mortality. Results: Among 752 patients, a 3-class best fit model was selected: Class 1 “Frail, cognitively impaired and physically dependent”, Class 2 “Pre-frail, but largely physically independent” and Class 3 “Physically independent”. The 3 classes have distinct demographics, medical and socioeconomic characteristics (p<0.05), 30- and 90-day readmission (p<0.05) and mortality (p<0.01). Class 1 patients have the highest age-adjusted 90-day readmission (OR=2.04, 95%CI: 1.21-3.46, p= 0.008), 30- (OR=6.92, 95%CI: 1.76-27.21, p=0.006) and 90-day mortality (OR=11.51, 95%CI: 4.57-29.02, p<0.001). Conclusions: We identified a subgroup with the highest readmission and mortality risk amongst high-risk patients. We also found a lack of interventions in our TCP that specifically addresses increased frailty and poor cognition, which are prominent features in this subgroup. These findings will help to inform future program modifications and strengthen existing transitional healthcare structures currently utilized in this patient cohort.


2019 ◽  
Author(s):  
Shawn Choon Wee Ng ◽  
Yu Heng Kwan ◽  
Shi Yan ◽  
Chuen Seng Tan ◽  
Lian Leng Low

Abstract Background: High-risk patients are most vulnerable during transitions of care. Due to the high burden of resource allocation for such patients, we hypothesize that segmentation of this heterogeneous population into distinct subgroups will enable improved healthcare resource planning. In this study, we segmented a high-risk population with the aim to identify and characterize a patient subgroup with the highest 30-day and 90-day hospital readmission and mortality. Methods: We extracted data from our transitional care program (TCP) from June to November 2018. Latent class analysis (LCA) was used to determine the optimal number and characteristics of latent subgroups, assessed based on model fit and clinical interpretability. Regression analysis was performed to assess the association of class membership on 30- and 90-day all-cause readmission and mortality. Results: Among 752 patients, a 3-class best fit model was selected: Class 1 “Frail, cognitively impaired and physically dependent”, Class 2 “Pre-frail, but largely physically independent” and Class 3 “Physically independent”. The 3 classes have distinct demographics, medical and socioeconomic characteristics (p<0.05), 30- and 90-day readmission (p<0.05) and mortality (p<0.01). Class 1 patients have the highest age-adjusted 90-day readmission (OR=2.04, 95%CI: 1.21-3.46, p= 0.008), 30- (OR=6.92, 95%CI: 1.76-27.21, p=0.006) and 90-day mortality (OR=11.51, 95%CI: 4.57-29.02, p<0.001). Conclusions: We identified a subgroup with the highest readmission and mortality risk amongst high-risk patients. We also found a lack of interventions in our TCP that specifically addresses increased frailty and poor cognition, which are prominent features in this subgroup. These findings will help to inform future program modifications and strengthen existing transitional healthcare structures currently utilized in this patient cohort.


2021 ◽  
Vol 67 (11/2021) ◽  
Author(s):  
Moses Chatambudza ◽  
Lindiwe Skhosana ◽  
Irene Ketseoglou ◽  
Tracey Wiggill

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S470-S470
Author(s):  
Jennifer Weiss ◽  
Gargi Patel ◽  
Joseph Cavanaugh

Abstract Background Clostridium difficile infection (CDI) is the most frequently reported nosocomial infection and is the major cause of healthcare and antibiotic associated diarrhea. Guideline recommended preventative strategies include antibiotic stewardship, hand hygiene, barrier precautions, and disinfection of environmental spaces to reduce the risk of hospital onset CDI (HO-CDI); however, there is no standardized scoring method to tactically detect high-risk patients in order to prevent HO-CDI. The objective of this study was to implement a risk stratification procedure for a pharmacist to prospectively identify high-risk patients and make early interventions to prevent the incidence of HO-CDI. Methods In this single center, ambidirectional cohort study, patients who acquired HO-CDI from January 2019 to June 2020 were identified and evaluated to determine which modifiable risk factors were most prominent. A pharmacist prospectively screened patients who were admitted from October 2020 to February 2021 using a web-based screening tool to detect high-risk patients based on the previously identified risk factors. An interdisciplinary approach was used to make early interventions for high-risk patients such as discontinuation or de-escalation of antibiotics, discontinuation of gastric acid suppression, and early CDI testing before 72 hours of admission. The primary outcome was incidence of HO-CDI per 10,000 patient days and secondary outcomes were length of hospital stay and duration of non-CDI antibiotic therapy. Appropriate statistical tests were used to measure significance. Results The primary outcome of HO-CDI cases per 10,000 patient days occurred at a median rate of 3.95 (IQR 3.38 – 6.30) in the retrospective cohort versus 2.15 (IQR 1.68 – 3.04) in the prospective cohort [p &lt; 0.0125]. There were no significant differences in length of non-CDI antibiotic therapy or length of hospital stay. Baseline Characteristics Primary Outcome Secondary Outcomes Conclusion In patients at high-risk of developing HO-CDI, pharmacist intervention resulted in a reduced rate of HO-CDI cases per 10,000 patient days. Disclosures All Authors: No reported disclosures


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 5257-5257
Author(s):  
Miroslav Penka ◽  
Jiri Schwarz ◽  
Michael Doubek ◽  
Petr Dulicek ◽  
Karel Indrak ◽  
...  

Abstract OBJECTIVES: Bleeding and thrombotic events are common complications symptoms in myeloproliferative diseases with thrombocythemia (MPD-T). The increased platelet count need not be the only cause of them. In the current study we have evaluated prospectively collected data of 421 Czech patients from an international registry of patients treated with anagrelide (ANG) with the aim to check whether JAK2 V617F mutation or additional thrombophilic states predispose to thrombosis in MPD-T. PATIENTS: The initial diagnoses (recorded largely according to PVSG criteria) were the following: essential thrombocythemia – 333 (79.1 %), idiopathic myelofibrosis – 40 (9.5%), polycythemia vera – 35 (8.4 %) and chronic myeloid leukemia – 8 (1.9%). The age at diagnosis and at database entry has rankged between 40 – 60 years in more than 50% of patients (mean: 51.0 years). The male/female ratio was 37.5: 62.5%. A large proportion of patients (77.7%) had been already pretreated with thromboreducing drugs: overall, 55 patients had received ANG, 84 had had interferon-alpha, 208 had been treated with hydroxyurea and 59 patients had received another drug. More than one line of previous thromboreductive therapy was recorded in 155 (36.8%) patients. Following registration, 18.0% was receiving another thromboreducing drug in addition to ANG. The median platelet value was 1015 G/l at diagnosis, and 658 G/l (range 140–3325) at database entry. The treatment goal was achieving 600/400 G/l platelets in low-/high-risk patients. High-risk patients had either previous thrombosis, an additional thrombophilic state (mostly inherited; “thrombophilia+”), or JAK2 gene V617F mutation. RESULTS: Pretreated and unpretreated patients responded to ANG equally well. High-risk patients had lower platelet counts at 3–6–9–12–36 months – 488–400–387–376–323 G/l (n=118) than good-risk ones – 523–441–384–423–455 G/l (n=98) at the given above time points. The mean ANG dose at 3 months was only 1.8 mg/day (median, 1.5 mg/d), whereas onwards, the mean dose was quite stable within 2.2–2.3 mg/day interval (median, 2.0 mg/d). At the time of database entry, 75 (17.8%) patients had a history of a thrombotic event, and 35 (8.3%) had had hemorrhage. During the follow-up after entering the registry, only 11 (3.5%) patients had thrombosis (6 had a major and 5 a minor one). Likewise, there have been very few patients with a bleeding event reported: 2 patients experienced a major and 4 patients a minor event (altogether 1.9% of patients). 282 patients had the JAK2 mutation evaluated. Half of them (51.4% patients) carried the mutation (hetero-/homozygous). Of the 145 patients with the mutation, 40 (27.6%) had thrombosis (before or after registration). Thrombosis was significantly more rare in 137 patients without the mutation, in 11 cases only (8.0%; P = 0.017, Fisher’s test, CI 95%). Of 78 evaluable patients with thrombosis, 20 (25.6%) were thrombophilia+, whereas of 343 patients without thrombosis, a thrombophilia+ state was demonstrated only in 48 cases (14.0%; P = 0.016). CONCLUSIONS: Our analysis has shown that high-risk MPD-T patients treated with ANG do not achieve the desired level of thromboreduction quite late: after 3–6 months of ANG treatment. However, during ANG treatment, relatively very few hemorrhagic or thrombotic complications were observed. The results confirmed in a large patient cohort that JAK2 mutation or additional thrombophilic states are major risk factors of thrombosis in MPD-T.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Shawn Choon Wee Ng ◽  
Yu Heng Kwan ◽  
Shi Yan ◽  
Chuen Seng Tan ◽  
Lian Leng Low

Abstract Background High-risk patients are most vulnerable during transitions of care. Due to the high burden of resource allocation for such patients, we propose that segmentation of this heterogeneous population into distinct subgroups will enable improved healthcare resource planning. In this study, we segmented a high-risk population with the aim to identify and characterize a patient subgroup with the highest 30-day and 90-day hospital readmission and mortality. Methods We extracted data from our transitional care program (TCP), a Hospital-to-Home program launched by the Singapore Ministry of Health, from June to November 2018. Latent class analysis (LCA) was used to determine the optimal number and characteristics of latent subgroups, assessed based on model fit and clinical interpretability. Regression analysis was performed to assess the association of class membership on 30- and 90-day all-cause readmission and mortality. Results Among 752 patients, a 3-class best fit model was selected: Class 1 “Frail, cognitively impaired and physically dependent”, Class 2 “Pre-frail, but largely physically independent” and Class 3 “Physically independent”. The 3 classes have distinct demographics, medical and socioeconomic characteristics (p <  0.05), 30- and 90-day readmission (p <  0.05) and mortality (p <  0.01). Class 1 patients have the highest age-adjusted 90-day readmission (OR = 2.04, 95%CI: 1.21–3.46, p = 0.008), 30- (OR = 6.92, 95%CI: 1.76–27.21, p = 0.006) and 90-day mortality (OR = 11.51, 95%CI: 4.57–29.02, p <  0.001). Conclusions We identified a subgroup with the highest readmission and mortality risk amongst high-risk patients. We also found a lack of interventions in our TCP that specifically addresses increased frailty and poor cognition, which are prominent features in this subgroup. These findings will help to inform future program modifications and strengthen existing transitional healthcare structures currently utilized in this patient cohort.


Sign in / Sign up

Export Citation Format

Share Document